89 results on '"Patel, Urvish K."'
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2. Abstract 13615: Diagnostic Accuracy of Cardiac MRI for Detecting Wall Motion Abnormalities and Coronary Artery Stenosis - A Systematic Review and Umbrella Meta-Analysis
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Panchal, Viraj, Saifa-Bonsu, Johnnie, Tamdin, Tenzin, Honganur, Nagaraj Sanchitha, Noei, Farahnaz, Konka, Srujana, Samala Venkata, Vikramaditya R, Sivasubramanian, Barath Prashanth, manjani, lokesh, Dave, Mihir, Savani, Priya, Jaiswal, Richa, Thirupathy, Umabalan, Patel, Urvish K, and Vekaria, Pratikkumar
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- 2023
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3. Abstract 13614: Nationwide Trends in Transcranial Doppler Utilization During Acute Ischemic Stroke Hospitalizations
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Shah, Dhaivat, Sreeni, Nishitha Sai, Patil, Karishma, Thomas, Anchu, Jain, Aagam, Pandya, Rajkamal, adam, Abdiwahid, Sekar, Pooja, Singla, Ramit, and Patel, Urvish K
- Published
- 2023
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4. Global, regional, and national burden of meningitis and its aetiologies, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
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Wunrow, Han Yong, Bender, Rose G, Vongpradith, Avina, Sirota, Sarah Brooke, Swetschinski, Lucien R, Novotney, Amanda, Gray, Authia P, Ikuta, Kevin S, Sharara, Fablina, Wool, Eve E, Aali, Amirali, Abd-Elsalam, Sherief, Abdollahi, Ashkan, Abdul Aziz, Jeza Muhamad, Abidi, Hassan, Aboagye, Richard Gyan, Abolhassani, Hassan, Abu-Gharbieh, Eman, Adamu, Lawan Hassan, Adane, Tigist Demssew, Addo, Isaac Yeboah, Adegboye, Oyelola A, Adekiya, Tayo Alex, Adnan, Mohammad, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Saira, Aghamiri, Shahin, Aghdam, Zahra Babaei, Agodi, Antonella, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Sajjad, Ahmadzade, Mohadese, Ahmed, Ali, Ahmed, Ayman, Ahmed, Jivan Qasim, Ahmed, Meqdad Saleh, Akinosoglou, Karolina, Aklilu, Addis, Akonde, Maxwell, Alahdab, Fares, AL-Ahdal, Tareq Mohammed Ali, Alanezi, Fahad Mashhour, Albelbeisi, Ahmed Hassan, Alemayehu, Tsegaye Begashaw B, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Al-Gheethi, Adel Ali Saeed, Ali, Abid, Ali, Beriwan Abdulqadir, Ali, Liaqat, Ali, Syed Shujait, Alimohamadi, Yousef, Alipour, Vahid, Aljunid, Syed Mohamed, Almustanyir, Sami, Al-Raddadi, Rajaa M, Alvis-Guzman, Nelson, Al-Worafi, Yaser Mohammed, Aly, Hany, Ameyaw, Edward Kwabena, Ancuceanu, Robert, Ansar, Adnan, Ansari, Golnoosh, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Aravkin, Aleksandr Y, Areda, Demelash, Artamonov, Anton A, Arulappan, Judie, Aruleba, Raphael Taiwo, Asaduzzaman, Muhammad, Atalell, Kendalem Asmare, Athari, Seyyed Shamsadin, Atlaw, Daniel, Atout, Maha Moh'd Wahbi, Attia, Sameh, Awoke, Tewachew, Ayalew, Melese Kitu, Ayana, Tegegn Mulatu, Ayele, Alemu Degu, Azadnajafabad, Sina, Azizian, Khalil, Badar, Muhammad, Badiye, Ashish D, Baghcheghi, Nayereh, Bagheri, Mahboube, Bagherieh, Sara, Bahadory, Saeed, Baig, Atif Amin, Barac, Aleksandra, Barati, Shirin, Bardhan, Mainak, Basharat, Zarrin, Bashiri, Azadeh, Basnyat, Buddha, Bassat, Quique, Basu, Saurav, Bayileyegn, Nebiyou Simegnew, Bedi, Neeraj, Behnoush, Amir Hossein, Bekel, Abebe Ayalew, Belete, Melaku Ashagrie, Bello, Olorunjuwon Omolaja, Bhagavathula, Akshaya Srikanth, Bhandari, Dinesh, Bhardwaj, Pankaj, Bhaskar, Sonu, Bhat, Ajay Nagesh, Bijani, Ali, Bineshfar, Niloufar, Boloor, Archith, Bouaoud, Souad, Buonsenso, Danilo, Burkart, Katrin, Cámera, Luis Alberto, Castañeda-Orjuela, Carlos A, Cernigliaro, Achille, Charan, Jaykaran, Chattu, Vijay Kumar, Ching, Patrick R, Chopra, Hitesh, Choudhari, Sonali Gajanan, Christopher, Devasahayam J, Chu, Dinh-Toi, Couto, Rosa A S, Cruz-Martins, Natália, Dadras, Omid, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Das, Saswati, Dash, Nihar Ranjan, Dashti, Mohsen, De la Hoz, Fernando Pio, Debela, Sisay Abebe, Dejen, Demeke, Dejene, Hiwot, Demeke, Dessalegn, Demeke, Feleke Mekonnen, Demessa, Berecha Hundessa, Demetriades, Andreas K, Demissie, Solomon, Dereje, Diriba, Dervišević, Emina, Desai, Hardik Dineshbhai, Dessie, Anteneh Mengist, Desta, Fikreab, Dhama, Kuldeep, Djalalinia, Shirin, Do, Thanh Chi, Dodangeh, Masoud, Dodangeh, Milad, Dominguez, Regina-Mae Villanueva, Dongarwar, Deepa, Dsouza, Haneil Larson, Durojaiye, Oyewole Christopher, Dziedzic, Arkadiusz Marian, Ekat, Martin Herbas, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, El Sayed Zaki, Maysaa, El-Abid, Hassan, Elhadi, Muhammed, El-Hajj, Victor Gabriel, El-Huneidi, Waseem, El-Sakka, Amro A, Esayas, Hawi Leul, Fagbamigbe, Adeniyi Francis, Falahi, Shahab, Fares, Jawad, Fatehizadeh, Ali, Fatima, Syeda Anum Fatima, Feasey, Nicholas A, Fekadu, Ginenus, Fetensa, Getahun, Feyissa, Desalegn, Fischer, Florian, Foroutan, Behzad, Gaal, Peter Andras, Gadanya, Muktar A, Gaipov, Abduzhappar, Ganesan, Balasankar, Gebrehiwot, Mesfin, Gebrekidan, Kahsu Gebrekirstos, Gebremeskel, Teferi Gebru, Gedef, Getachew Muluye, Gela, Yibeltal Yismaw, Gerema, Urge, Gessner, Bradford D, Getachew, Motuma Erena, Ghadiri, Keyghobad, Ghaffari, Kazem, Ghamari, Seyyed-Hadi, Ghanbari, Reza, Ghazy, Ramy Mohamed Mohmaed, Ghozali, Ghozali, Gizaw, Admasu Belay AB, Glushkova, Ekaterina Vladimirovna, Goldust, Mohamad, Golechha, Mahaveer, Guadie, Habtamu Alganeh, Guled, Rashid Abdi, Gupta, Mohak, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vijai Kumar, Gupta, Vivek Kumar, Hadi, Najah R, Haj-Mirzaian, Arvin, Haller, Sebastian, Hamidi, Samer, Haque, Shafiul, Harapan, Harapan, Hasaballah, Ahmed I, Hasan, Ikramul, Hasani, Hamidreza, Hasanian, Mohammad, Hassankhani, Hadi, Hassen, Mohammed Bheser, Hayat, Khezar, Heidari, Mohammad, Heidari-Foroozan, Mahsa, Heidari-Soureshjani, Reza, Hezam, Kamal, Holla, Ramesh, Horita, Nobuyuki, Hossain, Md Mahbub, Hosseini, Mohammad-Salar, Hosseinzadeh, Mehdi, Hostiuc, Sorin, Hussain, Salman, Hussein, Nawfal R, Ibitoye, Segun Emmanuel, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Imam, Mohammad Tarique, Iregbu, Kenneth Chukwuemeka, Ismail, Nahlah Elkudssiah, Iwu, Chidozie C D, Jaja, Chinwe, Jakovljevic, Mihajlo, Jamshidi, Elham, Javadi Mamaghani, Amirreza, Javidnia, Javad, Jokar, Mohammad, Jomehzadeh, Nabi, Joseph, Nitin, Joshua, Charity Ehimwenma, Jozwiak, Jacek Jerzy, Kabir, Zubair, Kalankesh, Laleh R, Kalhor, Rohollah, Kamal, Vineet Kumar, Kandel, Himal, Karaye, Ibraheem M, Karch, André, Karimi, Hanie, Kaur, Harkiran, Kaur, Navjot, Keykhaei, Mohammad, Khajuria, Himanshu, Khalaji, Amirmohammad, Khan, Ajmal, Khan, Imteyaz A, Khan, Maseer, Khan, Taimoor, Khatab, Khaled, Khatatbeh, Moawiah Mohammad, Khayat Kashani, Hamid Reza, Khubchandani, Jagdish, Kim, Min Seo, Kisa, Adnan, Kisa, Sezer, Kompani, Farzad, Koohestani, Hamid Reza, Kothari, Nikhil, Krishan, Kewal, Krishnamoorthy, Yuvaraj, Kulimbet, Mukhtar, Kumar, Manoj, Kumaran, Senthil D, Kuttikkattu, Ambily, Kwarteng, Alexander, Laksono, Tri, Landires, Iván, Laryea, Dennis Odai, Lawal, Basira Kankia, Le, Thao Thi Thu, Ledda, Caterina, Lee, Sang-woong, Lee, Seung, Lema, Gebretsadik Kiros, Levi, Miriam, Lim, Stephen S, Liu, Xuefeng, Lopes, Graciliana, Lutzky Saute, Ricardo, Machado Teixeira, Pedro Henrique, Mahmoodpoor, Ata, Mahmoud, Mansour Adam, Malakan Rad, Elaheh, Malhotra, Kashish, Malik, Ahmad Azam, Martinez-Guerra, Bernardo Alfonso, Martorell, Miquel, Mathur, Vasundhara, Mayeli, Mahsa, Medina, John Robert Carabeo, Melese, Addisu, Memish, Ziad A, Mentis, Alexios-Fotios A, Merza, Muayad Aghali, Mestrovic, Tomislav, Michalek, Irmina Maria, Minh, Le Huu Nhat, Mirahmadi, Alireza, Mirmosayyeb, Omid, Misganaw, Awoke, Misra, Arup Kumar, Moghadasi, Javad, Mohamed, Nouh Saad, Mohammad, Yousef, Mohammadi, Esmaeil, Mohammed, Shafiu, Mojarrad Sani, Maryam, Mojiri-forushani, Hoda, Mokdad, Ali H, Momtazmanesh, Sara, Monasta, Lorenzo, Moni, Mohammad Ali, Mossialos, Elias, Mostafavi, Ebrahim, Motaghinejad, Majid, Mousavi Khaneghah, Amin, Mubarik, Sumaira, Muccioli, Lorenzo, Muhammad, Jibran Sualeh, Mulita, Francesk, Mulugeta, Temesgen, Murillo-Zamora, Efrén, Mustafa, Ghulam, Muthupandian, Saravanan, Nagarajan, Ahamarshan Jayaraman, Nainu, Firzan, Nair, Tapas Sadasivan, Nargus, Shumaila, Nassereldine, Hasan, Natto, Zuhair S, Nayak, Biswa Prakash, Negoi, Ionut, Negoi, Ruxandra Irina, Nejadghaderi, Seyed Aria, Nguyen, Hien Quang, Nguyen, Phat Tuan, Nguyen, Van Thanh, Niazi, Robina Khan, Noroozi, Nafise, Nouraei, Hasti, Nuñez-Samudio, Virginia, Nuruzzaman, Khan M, Nwatah, Vincent Ebuka, Nzoputam, Chimezie Igwegbe, Nzoputam, Ogochukwu Janet, Oancea, Bogdan, Obaidur, Rahman Md, Odetokun, Ismail A, Ogunsakin, Ropo Ebenezer, Okonji, Osaretin Christabel, Olagunju, Andrew T, Olana, Latera Tesfaye, Olufadewa, Isaac Iyinoluwa, Oluwafemi, Yinka Doris, Oumer, Kemal Sherefa, Ouyahia, Amel, P A, Mahesh, Pakshir, Keyvan, Palange, Padmavali Nanaji, Pardhan, Shahina, Parikh, Romil R, Patel, Jay, Patel, Urvish K, Patil, Shankargouda, Paudel, Uttam, Pawar, Shrikant, Pensato, Umberto, Perdigão, João, Pereira, Marcos, Peres, Mario F P, Petcu, Ionela-Roxana, Pinheiro, Marina, Piracha, Zahra Zahid, Pokhrel, Nayanum, Postma, Maarten J, Prates, Elton Junio Sady, Qattea, Ibrahim, Raghav, Pankaja Raghav, Rahbarnia, Leila, Rahimi-Movaghar, Vafa, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmanian, Vahid, Rahnavard, Niloufar, Ramadan, Hazem, Ramasubramani, Premkumar, Rani, Usha, Rao, Indu Ramachandra, Rapaka, Deepthi, Ratan, Zubair Ahmed, Rawaf, Salman, Redwan, Elrashdy Moustafa Mohamed, Reiner Jr, Robert C, Rezaei, Nazila, Riad, Abanoub, Ribeiro da Silva, Tércia Moreira, Roberts, Tamalee, Robles Aguilar, Gisela, Rodriguez, Jefferson Antonio Buendia, Rosenthal, Victor Daniel, Saddik, Basema, Sadeghian, Saeid, Saeed, Umar, Safary, Azam, Saheb Sharif-Askari, Fatemeh, Saheb Sharif-Askari, Narjes, Sahebkar, Amirhossein, Sahu, Monalisha, Sajedi, Seyed Aidin, Saki, Morteza, Salahi, Saina, Salahi, Sarvenaz, Saleh, Mohamed A, Sallam, Malik, Samadzadeh, Sara, Samy, Abdallah M, Sanjeev, Rama Krishna, Satpathy, Maheswar, Seylani, Allen, Sha'aban, Abubakar, Shafie, Mahan, Shah, Pritik A, Shahrokhi, Shayan, Shahzamani, Kiana, Shaikh, Masood Ali, Sham, Sunder, Shannawaz, Mohammed, Sheikh, Aziz, Shenoy, Suchitra M, Shetty, Pavanchand H, Shin, Jae Il, Shokri, Fereshteh, Shorofi, Seyed Afshin, Shrestha, Sunil, Sibhat, Migbar Mekonnen, Siddig, Emmanuel Edwar, Silva, Luís Manuel Lopes Rodrigues, Singh, Harpreet, Singh, Jasvinder A, Singh, Paramdeep, Singh, Surjit, Sinto, Robert, Skryabina, Anna Aleksandrovna, Socea, Bogdan, Sokhan, Anton, Solanki, Ranjan, Solomon, Yonatan, Sood, Prashant, Soshnikov, Sergey, Stergachis, Andy, Sufiyan, Mu'awiyyah Babale, Suliankatchi Abdulkader, Rizwan, Sultana, Abida, T Y, Sree Sudha, Taheri, Ensiyeh, Taki, Elahe, Tamuzi, Jacques JL Lukenze, Tan, Ker-Kan, Tat, Nathan Y, Temsah, Mohamad-Hani, Terefa, Dufera Rikitu, Thangaraju, Pugazhenthan, Tibebu, Nigusie Selomon, Ticoalu, Jansje Henny Vera, Tillawi, Tala, Tincho, Marius Belmondo, Tleyjeh, Imad I, Toghroli, Razie, Tovani-Palone, Marcos Roberto, Tufa, Derara Girma, Turner, Paul, Ullah, Irfan, Umeokonkwo, Chukwuma David, Unnikrishnan, Bhaskaran, Vahabi, Seyed Mohammad, Vaithinathan, Asokan Govindaraj, Valizadeh, Rohollah, Varthya, Shoban Babu, Vos, Theo, Waheed, Yasir, Walde, Mandaras Tariku, Wang, Cong, Weerakoon, Kosala Gayan, Wickramasinghe, Nuwan Darshana, Winkler, Andrea Sylvia, Woldemariam, Melat, Worku, Nahom Alemseged, Wright, Claire, Yada, Dereje Y, Yaghoubi, Sajad, Yahya, Gahin Abdulraheem Tayib Yahya, Yenew, Chalachew Yenew Yenew, Yesiltepe, Metin, Yi, Siyan, Yiğit, Vahit, You, Yuyi, Yusuf, Hadiza, Zakham, Fathiah, Zaman, Muhammad, Zaman, Sojib Bin, Zare, Iman, Zareshahrabadi, Zahra, Zarrintan, Armin, Zastrozhin, Mikhail Sergeevich, Zhang, Haijun, Zhang, Jingya, Zhang, Zhi-Jiang, Zheng, Peng, Zoladl, Mohammad, Zumla, Alimuddin, Hay, Simon I, Murray, Christopher J L, Naghavi, Mohsen, and Kyu, Hmwe Hmwe
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- 2023
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5. Predictors of inpatient admission likelihood and prolonged length of stay among cerebrovascular disease patients: A nationwide emergency department sample analysis
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Patel, Karan, Diaz, Michael Joseph, Taneja, Kamil, Batchu, Sai, Zhang, Alex, Mohamed, Aleem, Wolfe, Jared, and Patel, Urvish K.
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- 2023
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6. Umbrella Meta-analysis Evaluating the Effectiveness of ViV-TAVI vs Redo SAVR
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Aedma, Surya Kiran, Khan, Nida, Altamimi, Abbas, Ali, Nawal, Jain, Shubhi, Raol, Karanrajsinh, Madireddy, Sowmya, Rakholiya, Jigisha, Raheem, Abdur, Desai, Rutikbhai, Patel, Urvish K., Rabbani, Rizwan, and Pothuru, Suveenkrishna
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- 2022
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7. Global, regional, and national burden of hepatitis B, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
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Sheena, Brittney S, Hiebert, Lindsey, Han, Hannah, Ippolito, Helen, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abbastabar, Hedayat, Abdoli, Amir, Abubaker Ali, Hiwa, Adane, Mesafint Molla, Adegboye, Oyelola A, Adnani, Qorinah Estiningtyas Sakilah, Advani, Shailesh M, Afzal, Muhammad Sohail, Afzal, Saira, Aghaie Meybodi, Mohamad, Ahadinezhad, Bahman, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmad, Tauseef, Ahmadi, Sepideh, Ahmed, Haroon, Ahmed, Muktar Beshir, Ahmed Rashid, Tarik, Akalu, Gizachew Taddesse, Aklilu, Addis, Akram, Tayyaba, Al Hamad, Hanadi, Alahdab, Fares, Alem, Adugnaw Zeleke, Alem, Dejene Tsegaye, Alhalaiqa, Fadwa Alhalaiqa Naji, Alhassan, Robert Kaba, Ali, Liaqat, Ali, Muhammad Ashar, Alimohamadi, Yousef, Alipour, Vahid, Alkhayyat, Motasem, Almustanyir, Sami, Al-Raddadi, Rajaa M, Altawalah, Haya, Amini, Saeed, Amu, Hubert, Ancuceanu, Robert, Andrei, Catalina Liliana, Andrei, Tudorel, Anoushiravani, Amir, Ansar, Adnan, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Arab-Zozani, Morteza, Argaw, Ayele Mamo, Argaw, Zeleke Gebru, Arshad, Muhammad, Artamonov, Anton A, Ashraf, Tahira, Atlaw, Daniel, Ausloos, Floriane, Ausloos, Marcel, Azadnajafabad, Sina, Azangou-Khyavy, Mohammadreza, Azari Jafari, Amirhossein, Azarian, Ghasem, Bagheri, Sayna, Bahadory, Saeed, Baig, Atif Amin, Banach, Maciej, Barati, Nastaran, Barrow, Amadou, Batiha, Abdul-Monim Mohammad, Bejarano Ramirez, Diana Fernanda, Belgaumi, Uzma Iqbal, Berhie, Alemshet Yirga, Bhagat, Devidas S, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhattacharyya, Krittika, Bhojaraja, Vijayalakshmi S, Bijani, Ali, Biondi, Antonio, Bodicha, Belay Boda Abule, Bojia, Hunduma Amensisa, Boloor, Archith, Bosetti, Cristina, Braithwaite, Dejana, Briko, Nikolay Ivanovich, Butt, Zahid A, Cámera, Luis Alberto, Chakinala, Raja Chandra, Chakraborty, Promit Ananyo, Charan, Jaykaran, Chen, Shu, Choi, Jee-Young Jasmine, Choudhari, Sonali Gajanan, Chowdhury, Fazle Rabbi, Chu, Dinh-Toi, Chung, Sheng-Chia, Cortesi, Paolo Angelo, Cowie, Benjamin C, Culbreth, Garland T, Dadras, Omid, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, De la Hoz, Fernando Pio, Debela, Sisay Abebe, Dedefo, Mohammed Gebre, Demeke, Feleke Mekonnen, Demie, Takele Gezahegn G, Demissie, Getu Debalkie, Derbew Molla, Meseret, Desta, Abebaw Alemayehu, Dhamnetiya, Deepak, Dhimal, Mandira Lamichhane, Dhimal, Meghnath, Didehdar, Mojtaba, Doan, Linh Phuong, Dorostkar, Fariba, Drake, Thomas M, Eghbalian, Fatemeh, Ekholuenetale, Michael, El Sayed, Iman, El Sayed Zaki, Maysaa, Elhadi, Muhammed, Elmonem, Mohamed A, Elsharkawy, Aisha, Enany, Shymaa, Enyew, Daniel Berhanie, Erkhembayar, Ryenchindorj, Eskandarieh, Sharareh, Esmaeilzadeh, Firooz, Ezzikouri, Sayeh, Farrokhpour, Hossein, Fetensa, Getahun, Fischer, Florian, Foroutan, Masoud, Gad, Mohamed M, Gaidhane, Abhay Motiramji, Gaidhane, Shilpa, Galles, Natalie C, Gallus, Silvano, Gebremeskel, Teferi Gebru, Gebreyohannes, Eyob Alemayehu, Ghadiri, Keyghobad, Ghaffari, Kazem, Ghafourifard, Mansour, Ghamari, Seyyed-Hadi, Ghashghaee, Ahmad, Gholami, Ali, Gholizadeh, Abdolmajid, Gilani, Aima, Goel, Amit, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Gorini, Giuseppe, Goshu, Yitayal Ayalew, Griswold, Max G, Gubari, Mohammed Ibrahim Mohialdeen, Gupta, Bhawna, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Haddadi, Rasool, Halwani, Rabih, Hamid, Saeed S, Hamidi, Samer, Hanif, Asif, Haque, Shafiul, Harapan, Harapan, Hargono, Arief, Hariri, Sanam, Hasaballah, Ahmed I, Hasan, S M Mahmudul, Hassanipour, Soheil, Hassankhani, Hadi, Hay, Simon I, Hayat, Khezar, Heidari, Golnaz, Herteliu, Claudiu, Heyi, Demisu Zenbaba, Hezam, Kamal, Holla, Ramesh, Hosseini, Mohammad-Salar, Hosseini, Mostafa, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Househ, Mowafa, Huang, Junjie, Hussein, Nawfal R, Iavicoli, Ivo, Ibitoye, Segun Emmanuel, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Irham, Lalu Muhammad, Islam, Jessica Y, Ismail, Nahlah Elkudssiah, Jacobsen, Kathryn H, Jadidi-Niaragh, Farhad, Javadi Mamaghani, Amirreza, Jayaram, Shubha, Jayawardena, Ranil, Jebai, Rime, Jha, Ravi Prakash, Joseph, Nitin, Joukar, Farahnaz, Kaambwa, Billingsley, Kabir, Ali, Kabir, Zubair, Kalhor, Rohollah, Kandel, Himal, Kanko, Tesfaye K Tesfaye, Kantar, Rami S, Karaye, Ibraheem M, Kassa, Bekalu Getnet, Kemp Bohan, Phillip M, Keykhaei, Mohammad, Khader, Yousef Saleh, Khajuria, Himanshu, Khan, Gulfaraz, Khan, Imteyaz A, Khan, Junaid, Khan, Moien AB, Khanali, Javad, Khater, Amir M, Khatib, Mahalaqua Nazli, Khodadost, Mahmoud, Khoja, Abdullah T, Khosravizadeh, Omid, Khubchandani, Jagdish, Kim, Gyu Ri, Kim, Hanna, Kim, Min Seo, Kim, Yun Jin, Kocarnik, Jonathan M, Kolahi, Ali-Asghar, Koteeswaran, Rajasekaran, Kumar, G Anil, La Vecchia, Carlo, Lal, Dharmesh Kumar, Landires, Iván, Lasrado, Savita, Lazarus, Jeffrey V, Ledda, Caterina, Lee, Doo Woong, Lee, Sang-woong, Lee, Yeong Yeh, Levi, Miriam, Li, Jiarui, Lim, Stephen S, Lobo, Stany W, Lopukhov, Platon D, Loureiro, Joana A, MacLachlan, Jennifer H, Magdy Abd El Razek, Hassan, Magdy Abd El Razek, Muhammed, Majeed, Azeem, Makki, Alaa, Malekpour, Mohammad-Reza, Malekzadeh, Reza, Malik, Ahmad Azam, Mansour-Ghanaei, Fariborz, Mansournia, Mohammad Ali, Martins-Melo, Francisco Rogerlândio, Matthews, Philippa C, Mendoza, Walter, Menezes, Ritesh G, Meretoja, Tuomo J, Mersha, Amanual Getnet, Mestrovic, Tomislav, Miller, Ted R, Minh, Le Huu Nhat, Mirica, Andreea, Mirmoeeni, Seyyedmohammadsadeq, Mirrakhimov, Erkin M, Misra, Sanjeev, Mithra, Prasanna, Moazen, Babak, Mohamadkhani, Ashraf, Mohammadi, Mokhtar, Mohammed, Shafiu, Moka, Nagabhishek, Mokdad, Ali H, Moludi, Jalal, Momtazmanesh, Sara, Monasta, Lorenzo, Moradi, Ghobad, Moradzadeh, Maliheh, Moradzadeh, Rahmatollah, Moraga, Paula, Mostafavi, Ebrahim, Mubarik, Sumaira, Muniyandi, Malaisamy, Murray, Christopher J L, Naghavi, Mohsen, Naimzada, Mukhammad David, Narasimha Swamy, Sreenivas, Natto, Zuhair S, Nayak, Biswa Prakash, Nazari, Javad, Negoi, Ionut, Negru, Serban Mircea, Nejadghaderi, Seyed Aria, Neupane Kandel, Sandhya, Nguyen, Huong Lan Thi, Ngwa, Che Henry, Niazi, Robina Khan, Nnaji, Chukwudi A, Noubiap, Jean Jacques, Nowroozi, Ali, Nuñez-Samudio, Virginia, Oancea, Bogdan, Ochir, Chimedsuren, Odukoya, Oluwakemi Ololade, Oh, In-Hwan, Olagunju, Andrew T, Olakunde, Babayemi Oluwaseun, Omar Bali, Ahmed, Omer, Emad, Otstavnov, Stanislav S, Oumer, Bilcha, Padubidri, Jagadish Rao, Pana, Adrian, Pandey, Anamika, Park, Eun-Cheol, Pashazadeh Kan, Fatemeh, Patel, Urvish K, Paudel, Uttam, Petcu, Ionela-Roxana, Piracha, Zahra Zahid, Pollok, Richard Charles G, Postma, Maarten J, Pourshams, Akram, Poustchi, Hossein, Rabiee, Mohammad, Rabiee, Navid, Rafiei, Alireza, Rafiei, Sima, Raghuram, Pavan Manibettu, Rahman, Mosiur, Rahmani, Amir Masoud, Rahmawaty, Setyaningrum, Rajesh, Aashish, Ranasinghe, Priyanga, Rao, Chythra R, Rao, Sowmya J, Rashidi, Mahsa, Rashidi, Mohammad-Mahdi, Rawaf, David Laith, Rawaf, Salman, Rawassizadeh, Reza, Rezaei, Negar, Rezapour, Aziz, Rezazadeh-Khadem, Sahba, Rodriguez, Jefferson Antonio Buendia, Rwegerera, Godfrey M, Sabour, Siamak, Saddik, Basema, Saeb, Mohammad Reza, Saeed, Umar, Sahebkar, Amirhossein, Saif-Ur-Rahman, KM, Salahi, Sarvenaz, Salimzadeh, Hamideh, Sampath, Chethan, Samy, Abdallah M, Sanabria, Juan, Sanmarchi, Francesco, Santric-Milicevic, Milena M, Sarveazad, Arash, Sathian, Brijesh, Sawhney, Monika, Seidu, Abdul-Aziz, Sepanlou, Sadaf G, Seylani, Allen, Shahabi, Saeed, Shaikh, Masood Ali, Shaker, Elaheh, Shakhmardanov, Murad Ziyaudinovich, Shannawaz, Mohammed, Shenoy, Suchitra M, Shetty, Jeevan K, Shetty, Pavanchand H, Shibuya, Kenji, Shin, Jae Il, Shobeiri, Parnian, Sibhat, Migbar Mekonnen, Singh, Achintya Dinesh, Singh, Jasvinder A, Singh, Surjit, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Sohrabpour, Amir Ali, Song, Suhang, Tabaeian, Seidamir Pasha, Tadesse, Eyayou Girma, Taheri, Majid, Tampa, Mircea, Tan, Ker-Kan, Tavakoli, Ahmad, Tbakhi, Abdelghani, Tefera, Belay Negash, Tehrani-Banihashemi, Arash, Tesfaw, Habtamu Molla, Thapar, Rekha, Thavamani, Aravind, Tohidast, Seyed Abolfazl, Tollosa, Daniel Nigusse, Tosti, Maria Elena, Tovani-Palone, Marcos Roberto, Traini, Eugenio, Tran, Mai Thi Ngoc, Trihandini, Indang, Tusa, Biruk Shalmeno, Ullah, Irfan, Vacante, Marco, Valadan Tahbaz, Sahel, Valdez, Pascual R, Varthya, Shoban Babu, Vo, Bay, Waheed, Yasir, Weldesenbet, Adisu Birhanu, Woldemariam, Melat, Xu, Suowen, Yahyazadeh Jabbari, Seyed Hossein, Yaseri, Mehdi, Yeshaw, Yigizie, Yiğit, Vahit, Yirdaw, Birhanu Wubale, Yonemoto, Naohiro, Yu, Chuanhua, Yunusa, Ismaeel, Zahir, Mazyar, Zaki, Leila, Zamani, Mohammad, Zamanian, Maryam, Zastrozhin, Mikhail Sergeevich, Vos, Theo, Ward, John W, and Dirac, M Ashworth
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- 2022
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8. Burden of diabetes and hyperglycaemia in adults in the Americas, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
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Cousin, Ewerton, Schmidt, Maria Inês, Ong, Kanyin Liane, Lozano, Rafael, Afshin, Ashkan, Abushouk, Abdelrahman I, Agarwal, Gina, Agudelo-Botero, Marcela, Al-Aly, Ziyad, Alcalde-Rabanal, Jacqueline Elizabeth, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J, Antony, Benny, Asaad, Malke, Bärnighausen, Till Winfried, Basu, Sanjay, Bensenor, Isabela M, Butt, Zahid A, Campos-Nonato, Ismael R, Chattu, Vijay Kumar, Criqui, Michael H, Daneshpajouhnejad, Parnaz, Dávila-Cervantes, Claudio Alberto, Denova-Gutiérrez, Edgar, Dharmaratne, Samath Dhamminda, Diaz, Daniel, Filip, Irina, Gad, Mohamed M, Garcia-Gordillo, MA, Ghasemi Assl, Shakiba, Gopalani, Sameer Vali, Guimarães, Rafael Alves, Gupta, Rajat Das, Hafezi-Nejad, Nima, Hashemian, Maryam, Hay, Simon I, Kahlon, Tanvir, Khubchandani, Jagdish, Kimokoti, Ruth W, Kisa, Adnan, Kuate Defo, Barthelemy, Landires, Iván, Miller, Ted R, Mokdad, Ali H, Morales, Linda, Morrison, Shane Douglas, Nigatu, Yeshambel T, Nuñez-Samudio, Virginia, Olagunju, Andrew T, Pandi-Perumal, Seithikurippu R, Patel, Urvish K, Radfar, Amir, Rios-Blancas, Maria, Roever, Leonardo, Saadatagah, Seyedmohammad, Sanabria, Juan, Santos, Itamar S, Sathish, Thirunavukkarasu, Shabani, Mahsima, Shafaat, Omid, Sheikhbahaei, Sara, Silva, Diego Augusto Santos, Singh, Ambrish, Singh, Jasvinder A, Tovani-Palone, Marcos Roberto, Velazquez, Diana Zuleika, Zadey, Siddhesh, Naghavi, Mohsen, Vos, Theo, and Duncan, Bruce B
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- 2022
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9. Global, regional, and national burden of colorectal cancer and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
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Sharma, Rajesh, Abbasi-Kangevari, Mohsen, Abd-Rabu, Rami, Abidi, Hassan, Abu-Gharbieh, Eman, Acuna, Juan Manuel, Adhikari, Sangeet, Advani, Shailesh M, Afzal, Muhammad Sohail, Aghaie Meybodi, Mohamad, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmadi, Ali, Ahmadi, Sepideh, Ahmed, Haroon, Ahmed, Luai A, Ahmed, Muktar Beshir, Al Hamad, Hanadi, Alahdab, Fares, Alanezi, Fahad Mashhour, Alanzi, Turki M, Alhalaiqa, Fadwa Alhalaiqa Naji, Alimohamadi, Yousef, Alipour, Vahid, Aljunid, Syed Mohamed, Alkhayyat, Motasem, Almustanyir, Sami, Al-Raddadi, Rajaa M, Alvand, Saba, Alvis-Guzman, Nelson, Amini, Saeed, Ancuceanu, Robert, Anoushiravani, Amir, Anoushirvani, Ali Arash, Ansari-Moghaddam, Alireza, Arabloo, Jalal, Aryannejad, Armin, Asghari Jafarabadi, Mohammad, Athari, Seyyed Shamsadin, Ausloos, Floriane, Ausloos, Marcel, Awedew, Atalel Fentahun, Awoke, Mamaru Ayenew, Ayana, Tegegn Mulatu, Azadnajafabad, Sina, Azami, Hiva, Azangou-Khyavy, Mohammadreza, Azari Jafari, Amirhossein, Badiye, Ashish D, Bagherieh, Sara, Bahadory, Saeed, Baig, Atif Amin, Baker, Jennifer L, Banach, Maciej, Barrow, Amadou, Berhie, Alemshet Yirga, Besharat, Sima, Bhagat, Devidas S, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhattacharyya, Krittika, Bhojaraja, Vijayalakshmi S, Bibi, Sadia, Bijani, Ali, Biondi, Antonio, Bjørge, Tone, Bodicha, Belay Boda Abule, Braithwaite, Dejana, Brenner, Hermann, Calina, Daniela, Cao, Chao, Cao, Yin, Carreras, Giulia, Carvalho, Felix, Cerin, Ester, Chakinala, Raja Chandra, Cho, William C S, Chu, Dinh-Toi, Conde, Joao, Costa, Vera Marisa, Cruz-Martins, Natália, Dadras, Omid, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Danielewicz, Anna, Demeke, Feleke Mekonnen, Demissie, Getu Debalkie, Desai, Rupak, Dhamnetiya, Deepak, Dianatinasab, Mostafa, Diaz, Daniel, Didehdar, Mojtaba, Doaei, Saeid, Doan, Linh Phuong, Dodangeh, Milad, Eghbalian, Fatemeh, Ejeta, Debela Debela, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, El Sayed, Iman, Elhadi, Muhammed, Enyew, Daniel Berhanie, Eyayu, Tahir, Ezzeddini, Rana, Fakhradiyev, Ildar Ravisovich, Farooque, Umar, Farrokhpour, Hossein, Farzadfar, Farshad, Fatehizadeh, Ali, Fattahi, Hamed, Fattahi, Nima, Fereidoonnezhad, Masood, Fernandes, Eduarda, Fetensa, Getahun, Filip, Irina, Fischer, Florian, Foroutan, Masoud, Gaal, Peter Andras, Gad, Mohamed M, Gallus, Silvano, Garg, Tushar, Getachew, Tamiru, Ghamari, Seyyed-Hadi, Ghashghaee, Ahmad, Ghith, Nermin, Gholamalizadeh, Maryam, Gholizadeh Navashenaq, Jamshid, Gizaw, Abraham Tamirat, Glasbey, James C, Golechha, Mahaveer, Goleij, Pouya, Gonfa, Kebebe Bekele, Gorini, Giuseppe, Guha, Avirup, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Haddadi, Rasool, Hafezi-Nejad, Nima, Haj-Mirzaian, Arvin, Halwani, Rabih, Haque, Shafiul, Hariri, Sanam, Hasaballah, Ahmed I, Hassanipour, Soheil, Hay, Simon I, Herteliu, Claudiu, Holla, Ramesh, Hosseini, Mohammad-Salar, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Househ, Mowafa, Huang, Junjie, Humayun, Ayesha, Iavicoli, Ivo, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Islami, Farhad, Iwagami, Masao, Jahani, Mohammad Ali, Jakovljevic, Mihajlo, Javaheri, Tahereh, Jayawardena, Ranil, Jebai, Rime, Jha, Ravi Prakash, Joo, Tamas, Joseph, Nitin, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Kabir, Ali, Kalhor, Rohollah, Kamath, Ashwin, Kapoor, Neeti, Karaye, Ibraheem M, Karimi, Amirali, Kauppila, Joonas H, Kazemi, Asma, Keykhaei, Mohammad, Khader, Yousef Saleh, Khajuria, Himanshu, Khalilov, Rovshan, Khanali, Javad, Khayamzadeh, Maryam, Khodadost, Mahmoud, Kim, Hanna, Kim, Min Seo, Kisa, Adnan, Kisa, Sezer, Kolahi, Ali-Asghar, Koohestani, Hamid Reza, Kopec, Jacek A, Koteeswaran, Rajasekaran, Koyanagi, Ai, Krishnamoorthy, Yuvaraj, Kumar, G Anil, Kumar, Manoj, Kumar, Vivek, La Vecchia, Carlo, Lami, Faris Hasan, Landires, Iván, Ledda, Caterina, Lee, Sang-woong, Lee, Wei-Chen, Lee, Yeong Yeh, Leong, Elvynna, Li, Bingyu, Lim, Stephen S, Lobo, Stany W, Loureiro, Joana A, Lunevicius, Raimundas, Madadizadeh, Farzan, Mahmoodpoor, Ata, Majeed, Azeem, Malekpour, Mohammad-Reza, Malekzadeh, Reza, Malik, Ahmad Azam, Mansour-Ghanaei, Fariborz, Mantovani, Lorenzo Giovanni, Martorell, Miquel, Masoudi, Sahar, Mathur, Prashant, Meena, Jitendra Kumar, Mehrabi Nasab, Entezar, Mendoza, Walter, Mentis, Alexios-Fotios A, Mestrovic, Tomislav, Miao Jonasson, Junmei, Miazgowski, Bartosz, Miazgowski, Tomasz, Mijena, Gelana Fekadu Worku, Mirmoeeni, Seyyedmohammadsadeq, Mirza-Aghazadeh-Attari, Mohammad, Mirzaei, Hamed, Misra, Sanjeev, Mohammad, Karzan Abdulmuhsin, Mohammadi, Esmaeil, Mohammadi, Saeed, Mohammadi, Seyyede Momeneh, Mohammadian-Hafshejani, Abdollah, Mohammed, Shafiu, Mohammed, Teroj Abdulrahman, Moka, Nagabhishek, Mokdad, Ali H, Mokhtari, Zeinab, Molokhia, Mariam, Momtazmanesh, Sara, Monasta, Lorenzo, Moradi, Ghobad, Moradzadeh, Rahmatollah, Moraga, Paula, Morgado-da-Costa, Joana, Mubarik, Sumaira, Mulita, Francesk, Naghavi, Mohsen, Naimzada, Mukhammad David, Nam, Hae Sung, Natto, Zuhair S, Nayak, Biswa Prakash, Nazari, Javad, Nazemalhosseini-Mojarad, Ehsan, Negoi, Ionut, Nguyen, Cuong Tat, Nguyen, Son Hoang, Noor, Nurulamin M, Noori, Maryam, Noori, Seyyed Mohammad Ali, Nuñez-Samudio, Virginia, Nzoputam, Chimezie Igwegbe, Oancea, Bogdan, Odukoya, Oluwakemi Ololade, Oguntade, Ayodipupo Sikiru, Okati-Aliabad, Hassan, Olagunju, Andrew T, Olagunju, Tinuke O, Ong, Sokking, Ostroff, Samuel M, Padron-Monedero, Alicia, Pakzad, Reza, Pana, Adrian, Pandey, Anamika, Pashazadeh Kan, Fatemeh, Patel, Urvish K, Paudel, Uttam, Pereira, Renato B, Perumalsamy, Navaraj, Pestell, Richard G, Piracha, Zahra Zahid, Pollok, Richard Charles G, Pourshams, Akram, Pourtaheri, Naeimeh, Prashant, Akila, Rabiee, Mohammad, Rabiee, Navid, Radfar, Amir, Rafiei, Sima, Rahman, Mosiur, Rahmani, Amir Masoud, Rahmanian, Vahid, Rajai, Nazanin, Rajesh, Aashish, Ramezani-Doroh, Vajiheh, Ramezanzadeh, Kiana, Ranabhat, Kamal, Rashedi, Sina, Rashidi, Amirfarzan, Rashidi, Mahsa, Rashidi, Mohammad-Mahdi, Rastegar, Mandana, Rawaf, David Laith, Rawaf, Salman, Rawassizadeh, Reza, Razeghinia, Mohammad Sadegh, Renzaho, Andre M N, Rezaei, Negar, Rezaei, Nima, Rezaei, Saeid, Rezaeian, Mohsen, Rezazadeh-Khadem, Sahba, Roshandel, Gholamreza, Saber-Ayad, Maha Mohamed, Saberzadeh-Ardestani, Bahar, Saddik, Basema, Sadeghi, Hossein, Saeed, Umar, Sahebazzamani, Maryam, Sahebkar, Amirhossein, Salek Farrokhi, Amir, Salimi, Amir, Salimzadeh, Hamideh, Samadi, Pouria, Samaei, Mehrnoosh, Samy, Abdallah M, Sanabria, Juan, Santric-Milicevic, Milena M, Saqib, Muhammad Arif Nadeem, Sarveazad, Arash, Sathian, Brijesh, Satpathy, Maheswar, Schneider, Ione Jayce Ceola, Šekerija, Mario, Sepanlou, Sadaf G, Seylani, Allen, Sha, Feng, Shafiee, Sayed Mohammad, Shaghaghi, Zahra, Shahabi, Saeed, Shaker, Elaheh, Sharifian, Maedeh, Sharifi-Rad, Javad, Sheikhbahaei, Sara, Shetty, Jeevan K, Shirkoohi, Reza, Shobeiri, Parnian, Siddappa Malleshappa, Sudeep K, Silva, Diego Augusto Santos, Silva Julian, Guilherme, Singh, Achintya Dinesh, Singh, Jasvinder A, Siraj, Md Shahjahan, Sivandzadeh, Gholam Reza, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Socea, Bogdan, Solmi, Marco, Soltani-Zangbar, Mohammad Sadegh, Song, Suhang, Szerencsés, Viktória, Szócska, Miklós, Tabarés-Seisdedos, Rafael, Tabibian, Elnaz, Taheri, Majid, TaheriAbkenar, Yasaman, Taherkhani, Amir, Talaat, Iman M, Tan, Ker-Kan, Tbakhi, Abdelghani, Tesfaye, Bekele, Tiyuri, Amir, Tollosa, Daniel Nigusse, Touvier, Mathilde, Tran, Bach Xuan, Tusa, Biruk Shalmeno, Ullah, Irfan, Ullah, Saif, Vacante, Marco, Valadan Tahbaz, Sahel, Veroux, Massimiliano, Vo, Bay, Vos, Theo, Wang, Cong, Westerman, Ronny, Woldemariam, Melat, Yahyazadeh Jabbari, Seyed Hossein, Yang, Lin, Yazdanpanah, Fereshteh, Yu, Chuanhua, Yuce, Deniz, Yunusa, Ismaeel, Zadnik, Vesna, Zahir, Mazyar, Zare, Iman, Zhang, Zhi-Jiang, and Zoladl, Mohammad
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- 2022
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10. Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019
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Nichols, Emma, Steinmetz, Jaimie D, Vollset, Stein Emil, Fukutaki, Kai, Chalek, Julian, Abd-Allah, Foad, Abdoli, Amir, Abualhasan, Ahmed, Abu-Gharbieh, Eman, Akram, Tayyaba Tayyaba, Al Hamad, Hanadi, Alahdab, Fares, Alanezi, Fahad Mashhour, Alipour, Vahid, Almustanyir, Sami, Amu, Hubert, Ansari, Iman, Arabloo, Jalal, Ashraf, Tahira, Astell-Burt, Thomas, Ayano, Getinet, Ayuso-Mateos, Jose L, Baig, Atif Amin, Barnett, Anthony, Barrow, Amadou, Baune, Bernhard T, Béjot, Yannick, Bezabhe, Woldesellassie M Mequanint, Bezabih, Yihienew Mequanint, Bhagavathula, Akshaya Srikanth, Bhaskar, Sonu, Bhattacharyya, Krittika, Bijani, Ali, Biswas, Atanu, Bolla, Srinivasa Rao, Boloor, Archith, Brayne, Carol, Brenner, Hermann, Burkart, Katrin, Burns, Richard A, Cámera, Luis Alberto, Cao, Chao, Carvalho, Felix, Castro-de-Araujo, Luis F S, Catalá-López, Ferrán, Cerin, Ester, Chavan, Prachi P, Cherbuin, Nicolas, Chu, Dinh-Toi, Costa, Vera Marisa, Couto, Rosa A S, Dadras, Omid, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, De la Cruz-Góngora, Vanessa, Dhamnetiya, Deepak, Dias da Silva, Diana, Diaz, Daniel, Douiri, Abdel, Edvardsson, David, Ekholuenetale, Michael, El Sayed, Iman, El-Jaafary, Shaimaa I, Eskandari, Khalil, Eskandarieh, Sharareh, Esmaeilnejad, Saman, Fares, Jawad, Faro, Andre, Farooque, Umar, Feigin, Valery L, Feng, Xiaoqi, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Ferrara, Pietro, Filip, Irina, Fillit, Howard, Fischer, Florian, Gaidhane, Shilpa, Galluzzo, Lucia, Ghashghaee, Ahmad, Ghith, Nermin, Gialluisi, Alessandro, Gilani, Syed Amir, Glavan, Ionela-Roxana, Gnedovskaya, Elena V, Golechha, Mahaveer, Gupta, Rajeev, Gupta, Veer Bala, Gupta, Vivek Kumar, Haider, Mohammad Rifat, Hall, Brian J, Hamidi, Samer, Hanif, Asif, Hankey, Graeme J, Haque, Shafiul, Hartono, Risky Kusuma, Hasaballah, Ahmed I, Hasan, M Tasdik, Hassan, Amr, Hay, Simon I, Hayat, Khezar, Hegazy, Mohamed I, Heidari, Golnaz, Heidari-Soureshjani, Reza, Herteliu, Claudiu, Househ, Mowafa, Hussain, Rabia, Hwang, Bing-Fang, Iacoviello, Licia, Iavicoli, Ivo, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Irvani, Seyed Sina Naghibi, Iso, Hiroyasu, Iwagami, Masao, Jabbarinejad, Roxana, Jacob, Louis, Jain, Vardhmaan, Jayapal, Sathish Kumar, Jayawardena, Ranil, Jha, Ravi Prakash, Jonas, Jost B, Joseph, Nitin, Kalani, Rizwan, Kandel, Amit, Kandel, Himal, Karch, André, Kasa, Ayele Semachew, Kassie, Gizat M, Keshavarz, Pedram, Khan, Moien AB, Khatib, Mahalaqua Nazli, Khoja, Tawfik Ahmed Muthafer, Khubchandani, Jagdish, Kim, Min Seo, Kim, Yun Jin, Kisa, Adnan, Kisa, Sezer, Kivimäki, Mika, Koroshetz, Walter J, Koyanagi, Ai, Kumar, G Anil, Kumar, Manasi, Lak, Hassan Mehmood, Leonardi, Matilde, Li, Bingyu, Lim, Stephen S, Liu, Xuefeng, Liu, Yuewei, Logroscino, Giancarlo, Lorkowski, Stefan, Lucchetti, Giancarlo, Lutzky Saute, Ricardo, Magnani, Francesca Giulia, Malik, Ahmad Azam, Massano, João, Mehndiratta, Man Mohan, Menezes, Ritesh G, Meretoja, Atte, Mohajer, Bahram, Mohamed Ibrahim, Norlinah, Mohammad, Yousef, Mohammed, Arif, Mokdad, Ali H, Mondello, Stefania, Moni, Mohammad Ali Ali, Moniruzzaman, Md, Mossie, Tilahun Belete, Nagel, Gabriele, Naveed, Muhammad, Nayak, Vinod C, Neupane Kandel, Sandhya, Nguyen, Trang Huyen, Oancea, Bogdan, Otstavnov, Nikita, Otstavnov, Stanislav S, Owolabi, Mayowa O, Panda-Jonas, Songhomitra, Pashazadeh Kan, Fatemeh, Pasovic, Maja, Patel, Urvish K, Pathak, Mona, Peres, Mario F P, Perianayagam, Arokiasamy, Peterson, Carrie B, Phillips, Michael R, Pinheiro, Marina, Piradov, Michael A, Pond, Constance Dimity, Potashman, Michele H, Pottoo, Faheem Hyder, Prada, Sergio I, Radfar, Amir, Raggi, Alberto, Rahim, Fakher, Rahman, Mosiur, Ram, Pradhum, Ranasinghe, Priyanga, Rawaf, David Laith, Rawaf, Salman, Rezaei, Nima, Rezapour, Aziz, Robinson, Stephen R, Romoli, Michele, Roshandel, Gholamreza, Sahathevan, Ramesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sathian, Brijesh, Sattin, Davide, Sawhney, Monika, Saylan, Mete, Schiavolin, Silvia, Seylani, Allen, Sha, Feng, Shaikh, Masood Ali, Shaji, KS, Shannawaz, Mohammed, Shetty, Jeevan K, Shigematsu, Mika, Shin, Jae Il, Shiri, Rahman, Silva, Diego Augusto Santos, Silva, João Pedro, Silva, Renata, Singh, Jasvinder A, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Smith, Amanda E, Soshnikov, Sergey, Spurlock, Emma Elizabeth, Stein, Dan J, Sun, Jing, Tabarés-Seisdedos, Rafael, Thakur, Bhaskar, Timalsina, Binod, Tovani-Palone, Marcos Roberto, Tran, Bach Xuan, Tsegaye, Gebiyaw Wudie, Valadan Tahbaz, Sahel, Valdez, Pascual R, Venketasubramanian, Narayanaswamy, Vlassov, Vasily, Vu, Giang Thu, Vu, Linh Gia, Wang, Yuan-Pang, Wimo, Anders, Winkler, Andrea Sylvia, Yadav, Lalit, Yahyazadeh Jabbari, Seyed Hossein, Yamagishi, Kazumasa, Yang, Lin, Yano, Yuichiro, Yonemoto, Naohiro, Yu, Chuanhua, Yunusa, Ismaeel, Zadey, Siddhesh, Zastrozhin, Mikhail Sergeevich, Zastrozhina, Anasthasia, Zhang, Zhi-Jiang, Murray, Christopher J L, and Vos, Theo
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- 2022
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11. Abstract 13858: The Epidemiological Characteristics & Outcome Trend of Cannabis Abuse Among Stroke Hospitalizations in the United States - A Nationwide Study
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Patel, Neel, Patel, Urvish K, Dhiman, Aakriti, Patel, Arpankumar, Tatineni, Mahesh Babu, Jyothsna, Goranti, Rakhunde, Vipul Vihar, Sajnani, Pardeep Kumar, khurana, mahika, Nagdeo, Kiran, Sonani, Hardik, Shah, Shamik, and Hennig, Nils
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- 2022
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12. Disparities in diagnosis of cerebral amyloid angiopathy based on hospital characteristics
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Nagaraja, Nandakumar and Patel, Urvish K.
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- 2021
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13. Subnational mapping of HIV incidence and mortality among individuals aged 15–49 years in sub-Saharan Africa, 2000–18: a modelling study
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Sartorius, Benn, VanderHeide, John D, Yang, Mingyou, Goosmann, Erik A, Hon, Julia, Haeuser, Emily, Cork, Michael A, Perkins, Samantha, Jahagirdar, Deepa, Schaeffer, Lauren E, Serfes, Audrey L, LeGrand, Kate E, Abbastabar, Hedayat, Abebo, Zeleke Hailemariam, Abosetugn, Akine Eshete, Abu-Gharbieh, Eman, Accrombessi, Manfred Mario Kokou, Adebayo, Oladimeji M, Adegbosin, Adeyinka Emmanuel, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adeyinka, Daniel Adedayo, Ahinkorah, Bright Opoku, Ahmadi, Keivan, Ahmed, Muktar Beshir, Akalu, Yonas, Akinyemi, Oluwaseun Oladapo, Akinyemi, Rufus Olusola, Aklilu, Addis, Akunna, Chisom Joyqueenet, Alahdab, Fares, Al-Aly, Ziyad, Alam, Noore, Alamneh, Alehegn Aderaw, Alanzi, Turki M, Alemu, Biresaw Wassihun, Alhassan, Robert Kaba, Ali, Tilahun, Alipour, Vahid, Amini, Saeed, Ancuceanu, Robert, Ansari, Fereshteh, Anteneh, Zelalem Alamrew, Anvari, Davood, Anwer, Razique, Appiah, Seth Christopher Yaw, Arabloo, Jalal, Asemahagn, Mulusew A, Asghari Jafarabadi, Mohammad, Asmare, Wondwossen Niguse, Atnafu, Desta Debalkie, Atout, Maha Moh'd Wahbi, Atreya, Alok, Ausloos, Marcel, Awedew, Atalel Fentahun, Ayala Quintanilla, Beatriz Paulina, Ayanore, Martin Amogre, Aynalem, Yared Asmare, Ayza, Muluken Altaye, Azari, Samad, Azene, Zelalem Nigussie, Babar, Zaheer-Ud-Din, Baig, Atif Amin, Balakrishnan, Senthilkumar, Banach, Maciej, Bärnighausen, Till Winfried, Basu, Sanjay, Bayati, Mohsen, Bedi, Neeraj, Bekuma, Tariku Tesfaye, Bezabhe, Woldesellassie M Mequanint, Bhagavathula, Akshaya Srikanth, Bhardwaj, Pankaj, Bhattacharyya, Krittika, Bhutta, Zulfiqar A, Bibi, Sadia, Bikbov, Boris, Birhan, Tsegaye Adane, Bitew, Zebenay Workneh, Bockarie, Moses John, Boloor, Archith, Brady, Oliver J, Bragazzi, Nicola Luigi, Briko, Andrey Nikolaevich, Briko, Nikolay Ivanovich, Burugina Nagaraja, Sharath, Butt, Zahid A, Cárdenas, Rosario, Carvalho, Felix, Charan, Jaykaran, Chatterjee, Souranshu, Chattu, Soosanna Kumary, Chattu, Vijay Kumar, Chowdhury, Mohiuddin Ahsanul Kabir, Chu, Dinh-Toi, Cook, Aubrey J, Cormier, Natalie Maria, Cowden, Richard G, Culquichicon, Carlos, Dagnew, Baye, Dahlawi, Saad M A, Damiani, Giovanni, Daneshpajouhnejad, Parnaz, Daoud, Farah, Daryani, Ahmad, das Neves, José, Davis Weaver, Nicole, Derbew Molla, Meseret, Deribe, Kebede, Desta, Abebaw Alemayehu, Deuba, Keshab, Dharmaratne, Samath Dhamminda, Dhungana, Govinda Prasad, Diaz, Daniel, Djalalinia, Shirin, Doku, Paul Narh, Dubljanin, Eleonora, Duko, Bereket, Eagan, Arielle Wilder, Earl, Lucas, Eaton, Jeffrey W, Effiong, Andem, El Sayed Zaki, Maysaa, El Tantawi, Maha, Elayedath, Rajesh, El-Jaafary, Shaimaa I, Elsharkawy, Aisha, Eskandarieh, Sharareh, Eyawo, Oghenowede, Ezzikouri, Sayeh, Fasanmi, Abidemi Omolara, Fasil, Alebachew, Fauk, Nelsensius Klau, Feigin, Valery L, Ferede, Tomas Y, Fernandes, Eduarda, Fischer, Florian, Foigt, Nataliya A, Folayan, Morenike Oluwatoyin, Foroutan, Masoud, Francis, Joel Msafiri, Fukumoto, Takeshi, Gad, Mohamed M, Geberemariyam, Biniyam Sahiledengle, Gebregiorgis, Birhan Gebresillassie, Gebremichael, Berhe, Gesesew, Hailay Abrha, Getacher, Lemma, Ghadiri, Keyghobad, Ghashghaee, Ahmad, Gilani, Syed Amir, Ginindza, Themba G, Glagn, Mustefa, Golechha, Mahaveer, Gona, Philimon N, Gubari, Mohammed Ibrahim Mohialdeen, Gugnani, Harish Chander, Guido, Davide, Guled, Rashid Abdi, Hall, Brian J, Hamidi, Samer, Handiso, Demelash Woldeyohannes, Hargono, Arief, Hashi, Abdiwahab, Hassanipour, Soheil, Hassankhani, Hadi, Hayat, Khezar, Herteliu, Claudiu, Hidru, Hagos Degefa de, Holla, Ramesh, Hosgood, H Dean, Hossain, Naznin, Hosseini, Mostafa, Hosseinzadeh, Mehdi, Househ, Mowafa, Hwang, Bing-Fang, Ibitoye, Segun Emmanuel, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Irvani, Seyed Sina Naghibi, Iwu, Chidozie C D, Iwu, Chinwe Juliana, Iyamu, Ihoghosa Osamuyi, Jain, Vardhmaan, Jakovljevic, Mihajlo, Jalilian, Farzad, Jha, Ravi Prakash, Johnson, Kimberly B, Joshua, Vasna, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Kabir, Ali, Kalankesh, Leila R, Kalhor, Rohollah, Kamath, Ashwin, Kamyari, Naser, Kanchan, Tanuj, Karami Matin, Behzad, Karch, André, Karimi, Salah Eddin, Kasa, Ayele Semachew, Kassahun, Getinet, Kayode, Gbenga A, Kazemi Karyani, Ali, Keiyoro, Peter Njenga, Kelkay, Bayew, Khalid, Nauman, Khan, Gulfaraz, Khan, Junaid, Khan, Md Nuruzzaman, Khatab, Khaled, Khazaei, Salman, Kim, Yun Jin, Kisa, Adnan, Kisa, Sezer, Kochhar, Sonali, Kopec, Jacek A, Kosen, Soewarta, Koulmane Laxminarayana, Sindhura Lakshmi, Koyanagi, Ai, Krishan, Kewal, Kuate Defo, Barthelemy, Kugbey, Nuworza, Kulkarni, Vaman, Kumar, Manasi, Kumar, Nithin, Kurmi, Om P, Kusuma, Dian, Kuupiel, Desmond, Kyu, Hmwe Hmwe, La Vecchia, Carlo, Lal, Dharmesh Kumar, Lam, Jennifer O, Landires, Iván, Lasrado, Savita, Lazarus, Jeffrey V, Lazzar-Atwood, Alice, Lee, Paul H, Leshargie, Cheru Tesema, Li, Bingyu, Liu, Xuefeng, Lopukhov, Platon D, M. Amin, Hawraz Ibrahim, Madi, Deepak, Mahasha, Phetole Walter, Majeed, Azeem, Maleki, Afshin, Maleki, Shokofeh, Mamun, Abdullah A, Manafi, Navid, Mansournia, Mohammad Ali, Martins-Melo, Francisco Rogerlândio, Masoumi, Seyedeh Zahra, Mayala, Benjamin K, Meharie, Birhanu Geta, Meheretu, Hailemariam Abiy Alemu, Meles, Hagazi Gebre, Melku, Mulugeta, Mendoza, Walter, Mengesha, Endalkachew Worku, Meretoja, Tuomo J, Mersha, Abera M, Mestrovic, Tomislav, Miller, Ted R, Mirica, Andreea, Mirzaei-Alavijeh, Mehdi, Mohamad, Osama, Mohammad, Yousef, Mohammadian-Hafshejani, Abdollah, Mohammed, Jemal Abdu, Mohammed, Salahuddin, Mohammed, Shafiu, Mokdad, Ali H, Mokonnon, Taklu Marama, Molokhia, Mariam, Moradi, Masoud, Moradi, Yousef, Moradzadeh, Rahmatollah, Moraga, Paula, Mosser, Jonathan F, Munro, Sandra B, Mustafa, Ghulam, Muthupandian, Saravanan, Naderi, Mehdi, Nagarajan, Ahamarshan Jayaraman, Naghavi, Mohsen, Naveed, Muhammad, Nayak, Vinod C, Nazari, Javad, Ndejjo, Rawlance, Nepal, Samata, Netsere, Henok Biresaw, Ngalesoni, Frida N, Nguefack-Tsague, Georges, Ngunjiri, Josephine W, Nigatu, Yeshambel T, Nigussie, Samuel Negash, Nnaji, Chukwudi A, Noubiap, Jean Jacques, Nuñez-Samudio, Virginia, Oancea, Bogdan, Odukoya, Oluwakemi Ololade, Ogbo, Felix Akpojene, Oladimeji, Olanrewaju, Olagunju, Andrew T, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Omer, Muktar Omer, Omonisi, Abidemi E Emmanuel, Onwujekwe, Obinna E, Orisakwe, Orish Ebere, Otstavnov, Nikita, Owolabi, Mayowa O, P A, Mahesh, Padubidri, Jagadish Rao, Pakhale, Smita, Pana, Adrian, Pandi-Perumal, Seithikurippu R, Patel, Urvish K, Pathak, Mona, Patton, George C, Pawar, Shrikant, Peprah, Emmanuel K, Pokhrel, Khem Narayan, Postma, Maarten J, Pottoo, Faheem Hyder, Pourjafar, Hadi, Pribadi, Dimas Ria Angga, Quazi Syed, Zahiruddin, Rafiei, Alireza, Rahim, Fakher, Rahman, Mohammad Hifz Ur, Rahmani, Amir Masoud, Ram, Pradhum, Rana, Juwel, Ranabhat, Chhabi Lal, Rao, Satish, Rao, Sowmya J, Rathi, Priya, Rawaf, David Laith, Rawaf, Salman, Rawassizadeh, Reza, Renjith, Vishnu, Reta, Melese Abate, Rezaei, Nima, Rezapour, Aziz, Ribeiro, Ana Isabel, Ross, Jennifer M, Rumisha, Susan Fred, Sagar, Rajesh, Sahu, Maitreyi, Sajadi, S. Mohammad, Salem, Marwa Rashad, Samy, Abdallah M, Sathian, Brijesh, Schutte, Aletta Elisabeth, Seidu, Abdul-Aziz, Sha, Feng, Shafaat, Omid, Shahbaz, Mohammad, Shaikh, Masood Ali, Shaka, Mohammed Feyisso, Sheikh, Aziz, Shibuya, Kenji, Shin, Jae Il, Shivakumar, K M, Sidemo, Negussie Boti, Singh, Jasvinder A, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Soheili, Amin, Soltani, Shahin, Somefun, Oluwaseyi Dolapo, Sorrie, Muluken Bekele, Spurlock, Emma Elizabeth, Sufiyan, Mu'awiyyah Babale, Taddele, Biruk Wogayehu, Tadesse, Eyayou Girma, Tamir, Zemenu, Tamiru, Animut Tagele, Tanser, Frank C, Taveira, Nuno, Tehrani-Banihashemi, Arash, Tekalegn, Yohannes, Tesfay, Fisaha Haile, Tessema, Belay, Tessema, Zemenu Tadesse, Thakur, Bhaskar, Tolani, Musliu Adetola, Topor-Madry, Roman, Torrado, Marco, Tovani-Palone, Marcos Roberto, Traini, Eugenio, Tsai, Alexander C, Tsegaye, Gebiyaw Wudie, Ullah, Irfan, Ullah, Saif, Umeokonkwo, Chukwuma David, Unnikrishnan, Bhaskaran, Vardavas, Constantine, Violante, Francesco S, Vo, Bay, Wado, Yohannes Dibaba, Waheed, Yasir, Wamai, Richard G, Wang, Yanzhong, Ward, Paul, Werdecker, Andrea, Wickramasinghe, Nuwan Darshana, Wijeratne, Tissa, Wiysonge, Charles Shey, Wondmeneh, Temesgen Gebeyehu, Yamada, Tomohide, Yaya, Sanni, Yeshaw, Yigizie, Yeshitila, Yordanos Gizachew, Yilma, Mekdes Tigistu, Yip, Paul, Yonemoto, Naohiro, Yosef, Tewodros, Yusefzadeh, Hasan, Zaidi, Syed Saoud, Zaki, Leila, Zamanian, Maryam, Zastrozhin, Mikhail Sergeevich, Zastrozhina, Anasthasia, Zewdie, Dejene Tesfaye, Zhang, Yunquan, Zhang, Zhi-Jiang, Ziapour, Arash, Hay, Simon I, and Dwyer-Lindgren, Laura
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- 2021
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14. Artificial intelligence as an emerging technology in the current care of neurological disorders
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Patel, Urvish K., Anwar, Arsalan, Saleem, Sidra, Malik, Preeti, Rasul, Bakhtiar, Patel, Karan, Yao, Robert, Seshadri, Ashok, Yousufuddin, Mohammed, and Arumaithurai, Kogulavadanan
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- 2021
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15. Age differences in utilization and outcomes of tissue-plasminogen activator and mechanical thrombectomy in acute ischemic stroke
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Nagaraja, Nandakumar, Patel, Urvish K., and Chaturvedi, Seemant
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- 2021
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16. Global Burden of Cardiovascular Diseases and Risk Factors, 1990–2019: Update From the GBD 2019 Study
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Roth, Gregory A., Mensah, George A., Johnson, Catherine O., Addolorato, Giovanni, Ammirati, Enrico, Baddour, Larry M., Barengo, Noel C., Beaton, Andrea, Benjamin, Emelia J., Benziger, Catherine P., Bonny, Aime, Brauer, Michael, Brodmann, Marianne, Cahill, Thomas J., Carapetis, Jonathan R., Catapano, Alberico L., Chugh, Sumeet, Cooper, Leslie T., Coresh, Josef, Criqui, Michael H., DeCleene, Nicole K., Eagle, Kim A., Emmons-Bell, Sophia, Feigin, Valery L., Fernández-Sola, Joaquim, Fowkes, F. Gerry R., Gakidou, Emmanuela, Grundy, Scott M., He, Feng J., Howard, George, Hu, Frank, Inker, Lesley, Karthikeyan, Ganesan, Kassebaum, Nicholas J., Koroshetz, Walter J., Lavie, Carl, Lloyd-Jones, Donald, Lu, Hong S., Mirijello, Antonio, Misganaw, Awoke T., Mokdad, Ali H., Moran, Andrew E., Muntner, Paul, Narula, Jagat, Neal, Bruce, Ntsekhe, Mpiko, Oliveira, Gláucia M.M., Otto, Catherine M., Owolabi, Mayowa O., Pratt, Michael, Rajagopalan, Sanjay, Reitsma, Marissa B., Ribeiro, Antonio Luiz P., Rigotti, Nancy A., Rodgers, Anthony, Sable, Craig A., Shakil, Saate S., Sliwa, Karen, Stark, Benjamin A., Sundström, Johan, Timpel, Patrick, Tleyjeh, Imad I., Valgimigli, Marco, Vos, Theo, Whelton, Paul K., Yacoub, Magdi, Zuhlke, Liesl J., Abbasi-Kangevari, Mohsen, Abdi, Alireza, Abedi, Aidin, Aboyans, Victor, Abrha, Woldu A., Abu-Gharbieh, Eman, Abushouk, Abdelrahman I., Acharya, Dilaram, Adair, Tim, Adebayo, Oladimeji M., Ademi, Zanfina, Advani, Shailesh M., Afshari, Khashayar, Afshin, Ashkan, Agarwal, Gina, Agasthi, Pradyumna, Ahmad, Sohail, Ahmadi, Sepideh, Ahmed, Muktar B., Aji, Budi, Akalu, Yonas, Akande-Sholabi, Wuraola, Aklilu, Addis, Akunna, Chisom J., Alahdab, Fares, Al-Eyadhy, Ayman, Alhabib, Khalid F., Alif, Sheikh M., Alipour, Vahid, Aljunid, Syed M., Alla, François, Almasi-Hashiani, Amir, Almustanyir, Sami, Al-Raddadi, Rajaa M., Amegah, Adeladza K., Amini, Saeed, Aminorroaya, Arya, Amu, Hubert, Amugsi, Dickson A., Ancuceanu, Robert, Anderlini, Deanna, Andrei, Tudorel, Andrei, Catalina Liliana, Ansari-Moghaddam, Alireza, Anteneh, Zelalem A., Antonazzo, Ippazio Cosimo, Antony, Benny, Anwer, Razique, Appiah, Lambert T., Arabloo, Jalal, Ärnlöv, Johan, Artanti, Kurnia D., Ataro, Zerihun, Ausloos, Marcel, Avila-Burgos, Leticia, Awan, Asma T., Awoke, Mamaru A., Ayele, Henok T., Ayza, Muluken A., Azari, Samad, B, Darshan B., Baheiraei, Nafiseh, Baig, Atif A., Bakhtiari, Ahad, Banach, Maciej, Banik, Palash C., Baptista, Emerson A., Barboza, Miguel A., Barua, Lingkan, Basu, Sanjay, Bedi, Neeraj, Béjot, Yannick, Bennett, Derrick A., Bensenor, Isabela M., Berman, Adam E., Bezabih, Yihienew M., Bhagavathula, Akshaya S., Bhaskar, Sonu, Bhattacharyya, Krittika, Bijani, Ali, Bikbov, Boris, Birhanu, Mulugeta M., Boloor, Archith, Brant, Luisa C., Brenner, Hermann, Briko, Nikolay I., Butt, Zahid A., Caetano dos Santos, Florentino Luciano, Cahill, Leah E., Cahuana-Hurtado, Lucero, Cámera, Luis A., Campos-Nonato, Ismael R., Cantu-Brito, Carlos, Car, Josip, Carrero, Juan J., Carvalho, Felix, Castañeda-Orjuela, Carlos A., Catalá-López, Ferrán, Cerin, Ester, Charan, Jaykaran, Chattu, Vijay Kumar, Chen, Simiao, Chin, Ken L., Choi, Jee-Young J., Chu, Dinh-Toi, Chung, Sheng-Chia, Cirillo, Massimo, Coffey, Sean, Conti, Sara, Costa, Vera M., Cundiff, David K., Dadras, Omid, Dagnew, Baye, Dai, Xiaochen, Damasceno, Albertino A.M., Dandona, Lalit, Dandona, Rakhi, Davletov, Kairat, De la Cruz-Góngora, Vanessa, De la Hoz, Fernando P., De Neve, Jan-Walter, Denova-Gutiérrez, Edgar, Derbew Molla, Meseret, Derseh, Behailu T., Desai, Rupak, Deuschl, Günther, Dharmaratne, Samath D., Dhimal, Meghnath, Dhungana, Raja Ram, Dianatinasab, Mostafa, Diaz, Daniel, Djalalinia, Shirin, Dokova, Klara, Douiri, Abdel, Duncan, Bruce B., Duraes, Andre R., Eagan, Arielle W., Ebtehaj, Sanam, Eftekhari, Aziz, Eftekharzadeh, Sahar, Ekholuenetale, Michael, El Nahas, Nevine, Elgendy, Islam Y., Elhadi, Muhammed, El-Jaafary, Shaimaa I., Esteghamati, Sadaf, Etisso, Atkilt E., Eyawo, Oghenowede, Fadhil, Ibtihal, Faraon, Emerito Jose A., Faris, Pawan S., Farwati, Medhat, Farzadfar, Farshad, Fernandes, Eduarda, Fernandez Prendes, Carlota, Ferrara, Pietro, Filip, Irina, Fischer, Florian, Flood, David, Fukumoto, Takeshi, Gad, Mohamed M., Gaidhane, Shilpa, Ganji, Morsaleh, Garg, Jalaj, Gebre, Abadi K., Gebregiorgis, Birhan G., Gebregzabiher, Kidane Z., Gebremeskel, Gebreamlak G., Getacher, Lemma, Obsa, Abera Getachew, Ghajar, Alireza, Ghashghaee, Ahmad, Ghith, Nermin, Giampaoli, Simona, Gilani, Syed Amir, Gill, Paramjit S., Gillum, Richard F., Glushkova, Ekaterina V., Gnedovskaya, Elena V., Golechha, Mahaveer, Gonfa, Kebebe B., Goudarzian, Amir Hossein, Goulart, Alessandra C., Guadamuz, Jenny S., Guha, Avirup, Guo, Yuming, Gupta, Rajeev, Hachinski, Vladimir, Hafezi-Nejad, Nima, Haile, Teklehaimanot G., Hamadeh, Randah R., Hamidi, Samer, Hankey, Graeme J., Hargono, Arief, Hartono, Risky K., Hashemian, Maryam, Hashi, Abdiwahab, Hassan, Shoaib, Hassen, Hamid Y., Havmoeller, Rasmus J., Hay, Simon I., Hayat, Khezar, Heidari, Golnaz, Herteliu, Claudiu, Holla, Ramesh, Hosseini, Mostafa, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Househ, Mowafa, Huang, Junjie, Humayun, Ayesha, Iavicoli, Ivo, Ibeneme, Charles U., Ibitoye, Segun E., Ilesanmi, Olayinka S., Ilic, Irena M., Ilic, Milena D., Iqbal, Usman, Irvani, Seyed Sina N., Islam, Sheikh Mohammed Shariful, Islam, Rakibul M., Iso, Hiroyasu, Iwagami, Masao, Jain, Vardhmaan, Javaheri, Tahereh, Jayapal, Sathish Kumar, Jayaram, Shubha, Jayawardena, Ranil, Jeemon, Panniyammakal, Jha, Ravi P., Jonas, Jost B., Jonnagaddala, Jitendra, Joukar, Farahnaz, Jozwiak, Jacek J., Jürisson, Mikk, Kabir, Ali, Kahlon, Tanvir, Kalani, Rizwan, Kalhor, Rohollah, Kamath, Ashwin, Kamel, Ibrahim, Kandel, Himal, Kandel, Amit, Karch, André, Kasa, Ayele Semachew, Katoto, Patrick D.M.C., Kayode, Gbenga A., Khader, Yousef S., Khammarnia, Mohammad, Khan, Muhammad S., Khan, Md Nuruzzaman, Khan, Maseer, Khan, Ejaz A., Khatab, Khaled, Kibria, Gulam M.A., Kim, Yun Jin, Kim, Gyu Ri, Kimokoti, Ruth W., Kisa, Sezer, Kisa, Adnan, Kivimäki, Mika, Kolte, Dhaval, Koolivand, Ali, Korshunov, Vladimir A., Koulmane Laxminarayana, Sindhura Lakshmi, Koyanagi, Ai, Krishan, Kewal, Krishnamoorthy, Vijay, Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kulkarni, Vaman, Kumar, G. Anil, Kumar, Nithin, Kurmi, Om P., Kusuma, Dian, Kwan, Gene F., La Vecchia, Carlo, Lacey, Ben, Lallukka, Tea, Lan, Qing, Lasrado, Savita, Lassi, Zohra S., Lauriola, Paolo, Lawrence, Wayne R., Laxmaiah, Avula, LeGrand, Kate E., Li, Ming-Chieh, Li, Bingyu, Li, Shanshan, Lim, Stephen S., Lim, Lee-Ling, Lin, Hualiang, Lin, Ziqiang, Lin, Ro-Ting, Liu, Xuefeng, Lopez, Alan D., Lorkowski, Stefan, Lotufo, Paulo A., Lugo, Alessandra, M, Nirmal K., Madotto, Fabiana, Mahmoudi, Morteza, Majeed, Azeem, Malekzadeh, Reza, Malik, Ahmad A., Mamun, Abdullah A., Manafi, Navid, Mansournia, Mohammad Ali, Mantovani, Lorenzo G., Martini, Santi, Mathur, Manu R., Mazzaglia, Giampiero, Mehata, Suresh, Mehndiratta, Man Mohan, Meier, Toni, Menezes, Ritesh G., Meretoja, Atte, Mestrovic, Tomislav, Miazgowski, Bartosz, Miazgowski, Tomasz, Michalek, Irmina Maria, Miller, Ted R., Mirrakhimov, Erkin M., Mirzaei, Hamed, Moazen, Babak, Moghadaszadeh, Masoud, Mohammad, Yousef, Mohammad, Dara K., Mohammed, Shafiu, Mohammed, Mohammed A., Mokhayeri, Yaser, Molokhia, Mariam, Montasir, Ahmed A., Moradi, Ghobad, Moradzadeh, Rahmatollah, Moraga, Paula, Morawska, Lidia, Moreno Velásquez, Ilais, Morze, Jakub, Mubarik, Sumaira, Muruet, Walter, Musa, Kamarul Imran, Nagarajan, Ahamarshan J., Nalini, Mahdi, Nangia, Vinay, Naqvi, Atta Abbas, Narasimha Swamy, Sreenivas, Nascimento, Bruno R., Nayak, Vinod C., Nazari, Javad, Nazarzadeh, Milad, Negoi, Ruxandra I., Neupane Kandel, Sandhya, Nguyen, Huong L.T., Nixon, Molly R., Norrving, Bo, Noubiap, Jean Jacques, Nouthe, Brice E., Nowak, Christoph, Odukoya, Oluwakemi O., Ogbo, Felix A., Olagunju, Andrew T., Orru, Hans, Ortiz, Alberto, Ostroff, Samuel M., Padubidri, Jagadish Rao, Palladino, Raffaele, Pana, Adrian, Panda-Jonas, Songhomitra, Parekh, Utsav, Park, Eun-Cheol, Parvizi, Mojtaba, Pashazadeh Kan, Fatemeh, Patel, Urvish K., Pathak, Mona, Paudel, Rajan, Pepito, Veincent Christian F., Perianayagam, Arokiasamy, Perico, Norberto, Pham, Hai Q., Pilgrim, Thomas, Piradov, Michael A., Pishgar, Farhad, Podder, Vivek, Polibin, Roman V., Pourshams, Akram, Pribadi, Dimas R.A., Rabiee, Navid, Rabiee, Mohammad, Radfar, Amir, Rafiei, Alireza, Rahim, Fakher, Rahimi-Movaghar, Vafa, Ur Rahman, Mohammad Hifz, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rakovac, Ivo, Ram, Pradhum, Ramalingam, Sudha, Rana, Juwel, Ranasinghe, Priyanga, Rao, Sowmya J., Rathi, Priya, Rawal, Lal, Rawasia, Wasiq F., Rawassizadeh, Reza, Remuzzi, Giuseppe, Renzaho, Andre M.N., Rezapour, Aziz, Riahi, Seyed Mohammad, Roberts-Thomson, Ross L., Roever, Leonardo, Rohloff, Peter, Romoli, Michele, Roshandel, Gholamreza, Rwegerera, Godfrey M., Saadatagah, Seyedmohammad, Saber-Ayad, Maha M., Sabour, Siamak, Sacco, Simona, Sadeghi, Masoumeh, Saeedi Moghaddam, Sahar, Safari, Saeed, Sahebkar, Amirhossein, Salehi, Sana, Salimzadeh, Hamideh, Samaei, Mehrnoosh, Samy, Abdallah M., Santos, Itamar S., Santric-Milicevic, Milena M., Sarrafzadegan, Nizal, Sarveazad, Arash, Sathish, Thirunavukkarasu, Sawhney, Monika, Saylan, Mete, Schmidt, Maria I., Schutte, Aletta E., Senthilkumaran, Subramanian, Sepanlou, Sadaf G., Sha, Feng, Shahabi, Saeed, Shahid, Izza, Shaikh, Masood A., Shamali, Mahdi, Shamsizadeh, Morteza, Shawon, Md Shajedur Rahman, Sheikh, Aziz, Shigematsu, Mika, Shin, Min-Jeong, Shin, Jae Il, Shiri, Rahman, Shiue, Ivy, Shuval, Kerem, Siabani, Soraya, Siddiqi, Tariq J., Silva, Diego A.S., Singh, Jasvinder A., Mtech, Ambrish Singh, Skryabin, Valentin Y., Skryabina, Anna A., Soheili, Amin, Spurlock, Emma E., Stockfelt, Leo, Stortecky, Stefan, Stranges, Saverio, Suliankatchi Abdulkader, Rizwan, Tadbiri, Hooman, Tadesse, Eyayou G., Tadesse, Degena B., Tajdini, Masih, Tariqujjaman, Md, Teklehaimanot, Berhane F., Temsah, Mohamad-Hani, Tesema, Ayenew K., Thakur, Bhaskar, Thankappan, Kavumpurathu R., Thapar, Rekha, Thrift, Amanda G., Timalsina, Binod, Tonelli, Marcello, Touvier, Mathilde, Tovani-Palone, Marcos R., Tripathi, Avnish, Tripathy, Jaya P., Truelsen, Thomas C., Tsegay, Guesh M., Tsegaye, Gebiyaw W., Tsilimparis, Nikolaos, Tusa, Biruk S., Tyrovolas, Stefanos, Umapathi, Krishna Kishore, Unim, Brigid, Unnikrishnan, Bhaskaran, Usman, Muhammad S., Vaduganathan, Muthiah, Valdez, Pascual R., Vasankari, Tommi J., Velazquez, Diana Z., Venketasubramanian, Narayanaswamy, Vu, Giang T., Vujcic, Isidora S., Waheed, Yasir, Wang, Yanzhong, Wang, Fang, Wei, Jingkai, Weintraub, Robert G., Weldemariam, Abrha H., Westerman, Ronny, Winkler, Andrea S., Wiysonge, Charles S., Wolfe, Charles D.A., Wubishet, Befikadu Legesse, Xu, Gelin, Yadollahpour, Ali, Yamagishi, Kazumasa, Yan, Lijing L., Yandrapalli, Srikanth, Yano, Yuichiro, Yatsuya, Hiroshi, Yeheyis, Tomas Y., Yeshaw, Yigizie, Yilgwan, Christopher S., Yonemoto, Naohiro, Yu, Chuanhua, Yusefzadeh, Hasan, Zachariah, Geevar, Zaman, Sojib Bin, Zaman, Muhammed S., Zamanian, Maryam, Zand, Ramin, Zandifar, Alireza, Zarghi, Afshin, Zastrozhin, Mikhail S., Zastrozhina, Anasthasia, Zhang, Zhi-Jiang, Zhang, Yunquan, Zhang, Wangjian, Zhong, Chenwen, Zou, Zhiyong, Zuniga, Yves Miel H., Murray, Christopher J.L., Fuster, Valentin, Barengo, Noël C., Beaton, Andrea Z., Bonny, Aimé, Carapetis, Jonathan, Chugh, Sumeet S., Criqui, Michael, DeCleene, Nicole, Fernández-Solà, Joaquim, Fowkes, Gerry, Kassebaum, Nicholas, Koroshetz, Walter, Temesgen, Awoke Misganaw, Mokdad, Ali, Moraes de Oliveira, Glaucia, Otto, Catherine, Owolabi, Mayowa, Reitsma, Marissa, Rigotti, Nancy, Sable, Craig, Shakil, Saate, Sliwa-Hahnle, Karen, Stark, Benjamin, Tleyjeh, Imad M., Zuhlke, Liesl, and Murray, Christopher
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- 2020
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17. Sex and racial disparity in utilization and outcomes of t-PA and thrombectomy in acute ischemic stroke
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Nagaraja, Nandakumar, Olasoji, Esther B., and Patel, Urvish K.
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- 2020
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18. Trends in Volume and Charges of Retinal Tear Patients in the Emergency Department.
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Taneja, Kamil, Diaz, Michael Joseph, Taneja, Tanisha, Patel, Karan, Batchu, Sai, Oak, Solomon, Zhang, Alex, Joshi, Aditya, and Patel, Urvish K.
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HOSPITAL emergency services ,DATABASES ,PHYSICIANS ,EXTRAPOLATION ,CATARACT - Abstract
To characterize retinal tears (RTs) and calculate the economic burden of RTs that present to the emergency department (ED) in the US. We used a large national ED database to retrospectively analyze RTs that presented to the ED from 2006 to 2019. Using extrapolation methods, national of the RT patient ED volume, demographics, comorbidities, disposition, inpatient (IP) charges, and ED charges were calculated. During the period between 2006 and 2019, 15841 ED encounters had RT listed as the primary diagnosis. The average annual RT ED encounters was 2,640 ± 856 and comprised an average of 6.4 × ${10^{ - 5}}\% $ 10 − 5 % of all ED visits annually. The number and ED percentage of RT encounters did not change during this time period (p =.22, p =.67, respectively). Most patients were males, Caucasian, paid with private insurance, and admitted to EDs in the Northeast. The most common comorbidities were hypertension (19%), a history of cataracts (15%), and diabetes (7.2%). During this time period, RTs charges added up to more than $79 million and $33 million in the ED and IP settings, respectively. Mean per-encounter ED and IP charges increased by 145% (p =.0008) and 86% (p =.0047), respectively. Despite the stable number of RT patients presenting to the ED, RTs place a significant economic burden to the healthcare system, which increases yearly. We recommend physicians and policy makers to work together to pass laws that could prevent the increasing healthcare charges. [ABSTRACT FROM AUTHOR]
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- 2024
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19. Stroke-like migraine attacks after radiation therapy (SMART) syndrome—a case series and review
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Patel, Urvish K., Patel, Khush, Malik, Preeti, Elkady, Ahmed, Patel, Nidhi, and Lunagariya, Abhishek
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- 2020
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20. Epidemiological and Clinical Characteristics of 6635 COVID-19 Patients: a Pooled Analysis
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Kaur, Nirmaljot, Gupta, Ishita, Singh, Harmandeep, Karia, Rutu, Ashraf, Aisha, Habib, Anam, Patel, Urvish K., and Malik, Preeti
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- 2020
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21. Lambl’s Excrescence Associated with Recurrent Ischemic Strokes
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Patel, Urvish K., Bhesania, Siddharth, Malik, Preeti, Bhesania, Janki, Barmanwalla, Alina, Anand, Swati, Jani, Vishal, Lunagariya, Abhishek, and Mehta, Parag
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- 2020
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22. Abstract 13697: Prevalence and Disability Associated With Vitamin D Deficiency Amongst Patients With Cardiovascular and Cerebrovascular Disorders
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Kaur, Nirmaljot, Yogarajah, Angelina, Nwodika, Chika, Subhedar, Rashmi, Raval, Payu, Yousuf, Salma, Shah, Chail, Martin, Mehwish, Singh, Harmandeep, Rakholiya, Jigisha, and Patel, Urvish K
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- 2020
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23. Abstract 13656: Outcomes of Pre-existing Cardiovascular Disease Amongst COVID-19 Patients
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Shah, Chail, Singh, Harmandeep, Martin, Mehwish, Yousuf, Salma, Raval, Payu, Kaur, Nirmaljot, Nwodika, Chika, Yogarajah, Angelina, Subhedar, Rashmi, Rakholiya, Jigisha, and Patel, Urvish K
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- 2020
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24. Stroke-Associated Pneumonia: A Retrospective Study of Risk Factors and Outcomes
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Patel, Urvish K., Kodumuri, Nishanth, Dave, Mihir, Lekshminarayanan, Anusha, Khan, Nashmia, Kavi, Tapan, Kothari, Ravish, Lunagariya, Abhishek, and Jani, Vishal
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- 2020
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25. Stroke and HIV‐associated neurological complications: A retrospective nationwide study.
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Patel, Urvish K., Malik, Preeti, Li, Yingjie, Habib, Anam, Shah, Shamik, Lunagariya, Abhishek, Jani, Vishal, and Dhamoon, Mandip S.
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ISCHEMIC stroke ,TRANSIENT ischemic attack ,PROGRESSIVE multifocal leukoencephalopathy ,HEMORRHAGIC stroke ,CEREBROVASCULAR disease - Abstract
There is an increased risk of stroke and other neurological complications in human immunodeficiency virus (HIV) infected patients with no large population‐based studies in the literature. We aim to evaluate the prevalence of stroke, HIV‐associated neurological complications, and identify risk factors associated with poor outcomes of stroke among HIV admissions in the United States. In the nationwide inpatient sample with adult HIV hospitalizations, patients with primary cerebrovascular disease (CeVDs) and HIV‐associated neurological complications were identified by ICD‐9‐CM codes. We performed a retrospective study with weighted analysis to evaluate the prevalence of stroke and neurological complications and outcomes of stroke among HIV patients. We included 1,559,351 HIV admissions from 2003 to 2014, of which 22470 (1.4%) patients had CeVDs (transient ischemic attack [TIA]: 3240 [0.2%], acute ischemic stroke [AIS]: 14895 [0.93%], and hemorrhagic stroke [HS]: 4334 [0.27%]), 7781 (0.49%) had neurosyphilis, 29,925 (1.87%) meningitis, 39,190 (2.45%) cytomegalovirus encephalitis, 4699 (0.29%) toxoplasmosis, 9964 (0.62%) progressive multifocal leukoencephalopathy, and 142,910 (8.94%) epilepsy. There is increased overall prevalence trend for CeVDs (TIA: 0.17%–0.24%; AIS: 0.62%–1.29%; HS: 0.26%–0.31%; pTrend <.0001) from 2003 to 2014. Among HIV admissions, variables associated with AIS were neurosyphilis (odds ratio: 4.38; 95% confidence interval: 3.21–5.97), meningitis (4.87 [4.10–5.79]), and central nervous system tuberculosis (6.72 [3.85–11.71]). Toxoplasmosis [4.27 [2.34–7.76]), meningitis (2.91 [2.09–4.06)], and cytomegalovirus encephalitis (1.62 [1.11–2.37]) were associated with higher odds of HS compared to patients without HS. There was an increasing trend of CeVDs over time among HIV hospitalizations. HIV‐associated neurological complications were associated with the risk of stroke, together with increased mortality, morbidity, disability, and discharge to long‐term care facilities. Further research would clarify stroke risk factors in HIV patients to mitigate adverse outcomes. [ABSTRACT FROM AUTHOR]
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- 2021
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26. Risk factors and outcomes of intravenous tissue plasminogen activator and endovascular thrombectomy utilization amongst pediatrics acute ischemic stroke.
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Malik, Preeti, Patel, Urvish K, Kaul, Surabhi, Singla, Ramit, Kavi, Tapan, Arumaithurai, Kogulavadanan, and Jani, Vishal B
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TISSUE plasminogen activator , *ENDOVASCULAR surgery , *STROKE patients , *DRUG efficacy , *SICKLE cell anemia , *EPILEPSY - Abstract
Background: Pediatric stroke is a debilitating disease. There are several risk factors predisposing children to this life-threatening disease. Although, published literature estimates a relatively high incidence of pediatric stroke, treatment guidelines on intravenous tissue plasminogen activator and endovascular thrombectomy utilization remain a dilemma. There is a lack of large population-based studies and clinical trials evaluating the efficacy and safety outcomes associated with these treatments in this unique population. Aim: We sought to determine the prevalence of risk factors, concurrent utilization of intravenous tissue plasminogen activator and endovascular thrombectomy, and associated outcomes in pediatric stroke hospitalizations. Methods: We performed a retrospective analysis of the Nationwide Inpatient Sample data (2003–2014) in pediatric (1–21 years of age) acute ischemic stroke hospitalizations using ICD-9-CM codes. The multivariable survey logistic regression model was weighted to account for sampling strategy, evaluate predictors of hemorrhagic conversion, and treatment outcomes (mortality, morbidity, and discharge disposition) amongst pediatric stroke hospitalizations. Results: In this analysis, 9109 patients between 1 and 21 years of age were admitted during 2003–2014 for acute ischemic stroke. Of these 9109 patients, 119 (1.30%) received endovascular thrombectomy alone, 256 (2.82%) intravenous recombinant tissue plasminogen activator, and 69 (0.75%) both endovascular thrombectomy and intravenous recombinant tissue plasminogen activator. We found overall high prevalence of conditions like epilepsy (19.59%), atrial septal defect (11.76%), sickle cell disease (8.63%), and moyamoya disease (5.41%) in pediatric acute ischemic stroke patients. Unadjusted analysis showed high prevalence of all-cause in-hospital mortality in combined endovascular thrombectomy and intravenous recombinant tissue plasminogen activator utilization group, and higher prevalence of hemorrhagic conversion and morbidity in endovascular thrombectomy utilization group compared to other groups (p < 0.0001). Multivariate adjusted analysis showed that children with endovascular thrombectomy utilization (aOR: 19.19; 95% CI: 2.50–147.29, p = 0.005), intravenous recombinant tissue plasminogen activator utilization (aOR: 8.85; 95% CI: 1.92–40.76, p = 0.005), and both (endovascular thrombectomy and intravenous recombinant tissue plasminogen activator) utilization (aOR: 7.55; 95% CI: 1.16–49.31, p = 0.035) had higher odds of hemorrhagic conversion compared to no-treatment group. Conclusion: We found various risk factors associated with pediatric stroke. The early identification can be useful to formulate preventive strategies and influence the incidence of pediatric stroke. Our study results showed that use of intravenous recombinant tissue plasminogen activator and endovascular thrombectomy increase risk of mortality and hemorrhagic conversion, but we suggest to have more clinical studies to evaluate the idea candidates for utilization of intravenous recombinant tissue plasminogen activator and endovascular thrombectomy based on risk: benefit ratio. [ABSTRACT FROM AUTHOR]
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- 2021
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27. Opioid Antagonist in the Treatment of Ischemic Stroke.
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Ortiz, Juan Fernando, Cruz, Claudio, Patel, Amrapali, Khurana, Mahika, Eissa-Garcés, Ahmed, Alzamora, Ivan Mateo, Halan, Taras, Altamimi, Abbas, Ruxmohan, Samir, and Patel, Urvish K.
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ISCHEMIC stroke ,CLINICAL drug trials ,CAUSES of death ,CLINICAL trials ,NEUROPROTECTIVE agents - Abstract
Stroke is a leading cause of death and disability, and novel treatments need to be found, particularly drugs with neuroprotective and restorative effects. Lately, there has been an increased interest in the relationship between opioids and ischemic stroke. To further appreciate this association between opioids and stroke, we conducted a systematic review to investigate anti-opioid medication's effectiveness in treating ischemic stroke. We used PubMed advanced-strategy and Google Scholar searches and only included full-text clinical trials on humans and written in the English language. After applying the inclusion/exclusion criteria, seven clinical trials were reviewed. Only one of the naloxone and nalmefene clinical trials showed statistically favorable results. Overall, the nalmefene clinical trials used more updated measures (NIHSS, GOS) to evaluate recovery and functional status in ischemic stroke patients than the naloxone clinical trials. There was less bias in the nalmefene clinical trials. Animal and in vitro studies have showed promising results. Additional research should be conducted with new clinical trials of both drugs with larger samples in patients less than 70 years old and moderate to severe infarcts. [ABSTRACT FROM AUTHOR]
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- 2021
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28. Abstract WP182: Trends in Acute Ischemic Stroke Hospitalizations and Risk Factors Among Young Adults: 12 Years of Nationally Representative Data.
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Patel, Urvish K, Poojary, Priti, Jani, Vishal, and Dhamoon, Mandip S
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- 2017
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29. Abstract TP192: Epidemiological Characteristics and Outcomes of Takayasu's Arteritis in Acute Ischemic Stroke Hospitalization.
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Bhesania, Siddharth, Patel, Urvish K, Lunagariya, Abhishek, Patel, Achint, Dave, Mihir, Patel, Janki, Shah, Harshil, Poojary, Priti, Saha, Aparna, Lavado, Liseth, Mehta, Parag, Jani, Vishal, and Qureshi, Adnan
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- 2017
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30. E-cigarette Use and Severe Coronavirus Disease 2019 (COVID-19) Outcomes: A Meta-Analysis.
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Valadez-Cuen K, Bhatt T, Mendez IE, Solanki D, Abdi N, Shelar V, Akplor JJ, Reddy Bhumanapalli SA, Vinyak S, Patel D, Tirupathi R, Shah V, Patel UK, and Rana RK
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E-cigarettes have been known to cause varied poor health outcomes prior to coronavirus disease 2019 (COVID-19), but after the impact of COVID-19, evidence came out that was, in some instances, not as expected regarding the severity of COVID-19 among e-cigarette users (vapers). A meta-analysis was performed on the available evidence to comprehensively find the effect of COVID-19 on existing or past e-cigarette users (vapers). The Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines were used to perform this meta-analysis. PubMed was searched for observational studies that described outcomes after COVID-19 positivity from December 1, 2019, to December 2023. Medical Subject Headings (MeSH) keywords were used for searching the relevant studies highlighting the relationship between COVID-19 and e-cigarette users. Calculations for pooled prevalence, 95% confidence interval (95% CI), weights for current e-cigarette users and vapers, and outcomes (events) were made. To analyze the data, Review Manager V.5.4 was used. The I² statistic was used to assess statistical heterogeneity. The I² statistic of >50% was considered significant heterogeneity. The "leave-one-out" method was used for sensitivity analysis. Out of 3231 studies, four studies reported data on vaping and non-vaping status and composite outcomes, resulting in a sample size of 653 COVID-19-positive cases. The pooled prevalence of being COVID-19 positive, having symptoms, or visiting an emergency room was 7.78% (653/8392). COVID-19 patients with current vaping status had decreased odds of poor outcomes compared to non-smokers, with a pooled odds ratio (OR) of 0.09 (95% CI 0.00-2.42; p>0.05) with heterogeneity between studies (I²=99%, p=0.15). Because of difficulties related to data collection and other factors, this meta-analysis was unable to conclusively establish the correlation between e-cigarette usage and severe COVID-19 outcomes such as hospitalization, admission to the intensive care unit, and fatality. Additional research using more detailed data is necessary to fully understand this correlation., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2024, Valadez-Cuen et al.)
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- 2024
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31. Past and Present of Point-of-Care Ultrasound (PoCUS): A Narrative Review.
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Chelikam N, Vyas A, Desai R, Khan N, Raol K, Kavarthapu A, Kamani P, Ibrahim G, Madireddy S, Pothuru S, Shah P, and Patel UK
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This article aims to conduct a literature review to gain insight into point-of-care ultrasound (PoCUS). PoCUS is a rapid, accurate, non-invasive, and radiation-free imaging modality that can be used in stable and unstable patients. PoCUS can be performed parallel to physical examination, resuscitation, and stabilization; repeated exams in critical patients are essential for improving sensitivity. The review highlights how PoCUS, which was initially used to detect free intraperitoneal fluid in trauma patients, has developed into a life-saving diagnostic tool that could be utilized by treating physicians during various stages of diagnosis, resuscitation, operation, and postoperative critical care when managing sick patients. The review also notes the barriers to the widespread uptake of PoCUS in general internal medicine and the recent commercial availability of "pocket" or handheld probes that have made PoCUS more readily available. This review concludes that adopting a focused binary decision-making approach can maximize PoCUS's value in many clinical settings, including emergency departments, intensive care units, and operation theatres. Overall, the review emphasizes the importance of awareness of common indications, limitations, and strengths of this evolving and promising technology to determine its future trajectory: Providing comprehensive PoCUS training within internal medicine curriculums and supporting trainers to do so., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2023, Chelikam et al.)
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- 2023
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32. Gastrointestinal Manifestations and Outcomes of COVID-19: A Comprehensive Systematic Review and Meta-analysis.
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Mehta D, Kelkar R, Patel N, Trivedi PD, Dawoodi S, Patel D, Solanki D, Hussain A, Nagaraj S, Khayat A, Samala Venkata V, Mansuri U, Patel UK, Sacks H, and Atreja A
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Introduction Pulmonary symptoms are the most prominent manifestations of Coronavirus disease 2019 (COVID-19). However, gastrointestinal (GI) symptoms have been reported widely as well. Literature describing the relation of these symptoms with outcomes of COVID-19 patients is limited in terms of sample size, geographic diversity, and the spectrum of GI symptoms included. We aim to evaluate the association of GI symptoms with outcomes of hospitalized COVID-19 patients. Methods A systematic review and meta-analysis of observational studies assessing GI symptoms and outcomes in COVID-19 patients were undertaken using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria and the Meta-analysis of Observational Studies in Epidemiology (MOOSE) checklist. Details on outcomes included ICU vs. non-ICU admission, severe vs. non-severe disease, invasive mechanical ventilation (IMV) vs. no-IMV use, oxygen saturation <90% vs. >90%, in-hospital mortality vs. discharged alive and survivors. We obtained the odds ratio (OR), 95% confidence interval (95%CI), and forest plots. Sensitivity analysis was used to analyze publication bias and heterogeneity. Results In 35 studies with 7931 confirmed COVID-19 patients, we found that anorexia (pooled OR:2.05; 95%CI: 1.36-3.09, p=0.0006) and abdominal pain (OR 2.80; 95%CI: 1.41-5.54, p=0.003) were associated with a higher risk of poor outcomes and no such association was found for diarrhea (OR 1.04; 95%CI: 0.85-1.26, p=0.71), nausea (OR 0.73; 95%CI: 0.38-1.39, p=0.34) and vomiting (OR 1.24; 95%CI 0.86-1.79, p=0.25). Conclusion The meta-analysis concludes that anorexia and abdominal pain are associated with poor outcomes in hospitalized COVID-19 patients, while diarrhea, nausea, and vomiting have no association. Future research should focus on whether detecting GI invasion in conjunction with fecal polymerase chain reaction (PCR) testing can aid in the early triage of high-risk individuals and improve outcomes., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2023, Mehta et al.)
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- 2023
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33. Prevalence and Outcomes of Depression, Obstructive Sleep Apnea, and Concurrent Anxiety (DOCA) in Stroke Survivors: Insights From a Nationwide Study.
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Patel UK, Rao A, Manihani GSD, Patel N, George C, Vijayakumar JS, Evangeline SH, Alam MR, Ghuman K, Francis SZ, Pandya I, Reddy C, Parikh T, and Shah S
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Background: Many individuals will also experience psychological side effects after a stroke episode, such as symptoms of depression, anxiety (generalized anxiety disorder (GAD)), and/or specific phobias, considerably decreasing their quality of life (QOL)., Objective: This study aimed to evaluate the prevalence of depression, obstructive sleep apnea (OSA), and concurrent anxiety (DOCA) and their outcomes (morbidity, disability (All Patient Refined Diagnosis Related Group (APRDRG) - loss of function), and discharge disposition) among acute ischemic stroke (AIS) hospitalizations., Methods: A cross-sectional study used the National Inpatient Sample (NIS) from 2003-2017. Adults with hospitalizations with AIS were extracted, and DOCA was identified using ICD-9/10-CM codes. Weighted analysis using a chi-square test and mixed-effect multivariable survey logistic regression was used to assess the prevalence and role of DOCA in predicting outcomes., Results: Out of 5,690,773 AIS hospitalizations, 2.7%, 3.1%, and 4.4% had depression, OSA, and GAD, respectively. In AIS patients, females had a higher prevalence of depression (3.4% vs. 2.3%) and GAD (5.9% vs. 3.0%) and a quality of life lower prevalence of OSA (2.2% vs 4.4%) in comparison to males (p<0.0001). Caucasians had a higher prevalence of depression, OSA, and GAD in comparison to others (African Americans/Hispanics/Asians/Native Americans). Depressed patients had a higher prevalence of morbidity (9% vs. 8% vs 5% vs. 7%), disability (46% vs. 46% vs. 35% vs. 37%), transfer to non-home (69% vs. 58% vs. 61% vs. 63%) in comparison with OSA, GAD, and non-DOCA patients, respectively (p<0.0001). Depression was associated with a 40% higher chance of severe disability (aOR 1.40; 95% CI 1.38-41), morbidity (1.36; 1.33-1.38), and discharge to non-home (1.54; 1.52-1.56). OSA and GAD had higher odds of non-home discharge amongst post-AIS hospitalizations., Conclusion: DOCA is associated with poor outcomes among post-AIS patients. Prompt recognition by screening and timely management of DOCA may mitigate the adverse outcomes., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2023, Patel et al.)
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- 2023
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34. Epidemiology, Trends, Utilization Disparities, and Outcomes of Catheter Ablation and Its Association With Coronary Vasospasm Amongst Patients With Non-valvular Atrial Fibrillation: A Nationwide Burden of Last Decade.
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Yarrarapu SNS, Shah P, Iskander B, Mestre A, Desai A, Shah S, Bhandari R, Ottun AA, Bharti A, Vunnam D, Ouled Said A, Hsieh YC, Patel UK, and Samala Venkata V
- Abstract
Background: Catheter ablation (CA) is an important curative treatment for non-valvular atrial fibrillation (NVAF), however, nationwide data on its utilization and disparities is limited. Coronary vasospasm is a rare, life-threatening, peri-operative complication of CA with limited literature in Caucasians., Methods: We performed a retrospective study on adult hospitalizations in the USA from 2007 to 2017 by obtaining the data from National Inpatient Sample. The primary endpoints of our study were to identify the utilization rate of CA, disparities in utilization, and study the outcomes associated with CA. The secondary endpoints of the study were to identify the incidence of coronary vasospasm amongst patients who underwent CA, evaluate their association, and identify the predictors of coronary vasospasm., Results: From 35,906,946 patients with NVAF, 343641 (0.96%) underwent CA. Its utilization decreased from 1% in 2007 to 0.71% in 2017. Patients who underwent CA, compared to those without CA, fared better in terms of hospital length of stay, mortality rate, disability rate, and discharge to the non-home facility. Patients in the 50-75 years age group, Native Americans, those with private insurance, and median household income of 76-100th percentile were associated with higher odds of CA utilization. Urban teaching hospitals and large-bedded hospitals performed more ablations, while the Mid-West region fared lower than the South, the West, and the Northeast. The prevalence of coronary vasospasm was higher amongst CA in comparison without CA, however, in regression analysis, no significant association was demonstrated between CA and coronary vasospasm., Conclusion: CA is an important treatment modality that is associated with improved clinical outcomes. Identification of factors associated with lower utilization of CA and its disparities will help to mitigate the burden associated with NVAF., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2023, Yarrarapu et al.)
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- 2023
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35. Substance Use Disorders (SUDs) and Risk of Cardiovascular Disease (CVD) and Cerebrovascular Disease (CeVD): Analysis of the Nationwide Inpatient Sample (NIS) Database.
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Patel H, Patel UK, Chowdhury M, Assaf AD, Avanthika C, Nor MA, Rage M, Madapu A, Konatham S, Vodapally M, Bhat V, Gnawali A, Mohamed M, Abdi N, Malik FA, and Zughaib M
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Background: Substance use continues to be on the rise in the United States and has been linked to new onset cardiovascular diseases (CVDs) and cerebrovascular disorders (CeVDs). We aimed to study the association between the types of substance use disorders (SUDs) with specific subtypes of CVDs and CeVDs among hospitalized patients using the National Inpatient Sample (NIS) Database., Methods: A retrospective study of the NIS database (2016-2017) using the ICD-10-CM codes was performed. The hospitalizations with a secondary diagnosis of SUDs were identified. Weighted univariate analysis using the Chi-square test and multivariate survey logistic regression analysis was performed to evaluate for the incidence, prevalence, and odds of association between vascular events and SUDs., Results: There were a total of 58,259,589 hospitalizations, out of which 21.42% had SUDs. SUDs were more common in the younger age group of 18-50, males, and the lower median household income group. We found a significant association of acute ischemic stroke (AIS) with amphetamine dependence (adjusted odds ratio, aOR 1.23, 95% confidence interval, CI 1.14-1.33), cocaine-related disorders (1.17, 1.12-1.23), and nicotine dependence (1.42, 1.40-1.43). There was a significant association between intracerebral hemorrhage with amphetamine dependence (2.58, 2.26-2.93), cocaine-related disorders (1.62, 1.46-1.79), and alcohol-related disorders (1.35, 1.01-1.82). The association of subarachnoid hemorrhage (SAH) was noted to be higher with amphetamine dependence (1.82, 1.48-2.24) and nicotine dependence (1.47, 1.39-1.55). The patients with nicotine dependence had greater odds of having a myocardial infarction (1.85, 1.83-1.87), those with cocaine-related disorders had higher odds of having angina pectoris (2.21, 1.86-2.62), and patients with alcohol-related disorders had higher odds of developing atrial fibrillation (1.14, 1.11-1.17) in comparison to non-SUDs., Conclusion: Our study demonstrates the variability of CVD and CeVD in patients hospitalized for SUD. Findings from our study may help promote increased awareness and early management of these events. Further studies are needed to evaluate the specific effects of frequency and dose on the incidence and prevalence of CVD and CeVD in patients with SUD., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2023, Patel et al.)
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- 2023
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36. Prevalence of Cerebrovascular Accidents Among the US Population With Substance Use Disorders: A Nationwide Study.
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Chelikam N, Mohammad Z, Tavrawala K, Krishnakumar AN, Varghese A, Shrivastav TY, Tarimci B, Kumar S, Francis SZ, Samala Venkata V, Patel UK, and Manjani L
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Introduction Globally, stroke is one of the top ten causes of death. The incidence of stroke in patients aged 44 years and younger was noted to have risen over the past three decades. This rise in stroke diagnosis among young adults could be attributed to multiple reasons, including the rising prevalence of comorbidities like diabetes, hypertension, substance use disorders (SUDs), etc. Aim & objectives This study's primary aim was to evaluate the prevalence of stroke in the US population and the prevalence of SUDs amongst patients with a prior history of stroke. The secondary aim was to evaluate the association between Stroke and SUDs. Methods Our population was obtained from the National Health and Nutrition Examination Survey (NHANES) between the years 2013 to 2018. We identified respondents diagnosed with stroke using the questionnaire and the history of various SUDs amongst this population. The data were analyzed using SAS software (Version 9.4). We performed univariate analysis using the chi-square and Mann-Whitney test, and a p-value of <0.05 was considered statistically significant. Results Two hundred sixty-four thousand seven hundred forty (264,740) respondents were included in this study, and 10435 (3.94%) respondents were noted to have a history of stroke. The population subset with a stroke diagnosis was older (68 years vs. 51 years). Higher prevalence was noted among the female sex (52.14% females vs. 47.86% males), Non-Hispanic white ethnicity, followed by Non-Hispanic black & then other Hispanics (47.56% vs.25.47% vs. 7.82%), and those belonging to a lower annual household income of $0-$25,000 and $25,000-$65,000 ( 46.61% vs. 35.93% ). (p<0.0001). After adjusting for socio-demographics and coexisting comorbidities, e-cigarette [OR: 2.03; 95% CI: 2.03-2.03], cocaine [OR: 1.54; 95%CI:1.54-1.54], heroin [OR: 1.83; 95%CI: 1.83-1.83], marijuana or hashish [OR: 1.01; 95% CI: 1.01-1.01], were observed to have an association with higher odds of stroke than the population without a history of using these illicit drugs. Conclusion Among respondents with a history of stroke, the use of cocaine was most prevalent, followed by marijuana/hashish, heroin, e-cigarettes, and injecting illegal drugs. The odds of having a stroke were two times higher in the population using an e-cigarette and higher among those using heroin, cocaine, and marijuana/ hashish. The Government should plan policy changes to treat SUDs in the USA, which could help reduce the stroke burden. Recall that bias and geographic variations in response rate by participants of the study were the limitations of our survey-based study., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2022, Chelikam et al.)
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- 2022
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37. Long-Term Neurological Sequelae Among Severe COVID-19 Patients: A Systematic Review and Meta-Analysis.
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Patel UK, Mehta N, Patel A, Patel N, Ortiz JF, Khurana M, Urhoghide E, Parulekar A, Bhriguvanshi A, Patel N, Mistry AM, Patel R, Arumaithurai K, and Shah S
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Few studies have thoroughly evaluated the neuro-invasive effect of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, which may contribute to a wide range of sequelae from mild long-term effects like headaches and fatigue to severe events like stroke and arrhythmias. Our study aimed to evaluate the long-term neurological effects of coronavirus disease 2019 (COVID-19) among patients discharged from the hospital. In this systematic review and meta-analysis, we assessed the long-term neurocognitive effects of COVID-19. Post-COVID-19 neurological sequelae were defined as persistent symptoms of headache, fatigue, myalgia, anosmia, dysgeusia, sleep disturbance, issues with concentration, post-traumatic stress disorder (PTSD), suicidality, and depression long after the acute phase of COVID-19. Data from observational studies describing post-COVID-19 neurocognitive sequelae and severity of COVID-19 from September 1, 2019, to the present were extracted following the Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol with a consensus of three independent reviewers. A systematic review was performed for qualitative evaluation and a meta-analysis was performed for quantitative analysis by calculating log odds of COVID-19 neurocognitive sequelae. The odds ratio (OR) and 95% confidence interval (CI) were obtained and forest plots were created using random effects models. We found seven studies, out of which three were used for quantitative synthesis of evidence. Of the 3,304 post-COVID-19 patients identified, 50.27% were male with a mean age of 56 years; 20.20% had post-COVID-19 symptoms more than two weeks after the acute phase of infection. Among persistence symptoms, neurocognitive symptoms like headache (27.8%), fatigue (26.7%), myalgia (23.14%), anosmia (22.8%), dysgeusia (12.1%), sleep disturbance (63.1%), confusion (32.6%), difficulty to concentrate (22%), and psychiatric symptoms like PTSD (31%), feeling depressed (20%), and suicidality (2%) had a higher prevalence. In meta-analysis, COVID-19 patients with severe symptoms had higher odds of headache (pooled OR: 4.53; 95% CI: 2.37-8.65; p<0.00001; I
2 : 0%) and myalgia (pooled OR: 3.36; 95% CI: 2.71-4.17; p<0.00001; I2 : 0%). Anosmia, fatigue, and dysgeusia had higher but non-significant odds following COVID-19. Although we had sufficient data for headache and fatigue to identify higher rates and associations following COVID-19, we could not establish relationships with other post-COVID-19 neurocognitive séqueles. Long-term follow-up may mitigate the neurocognitive effects among COVID-19 patients as these symptoms are also associated with a poor quality of life., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2022, Patel et al.)- Published
- 2022
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38. Carpal Tunnel Syndrome: Pathophysiology and Comprehensive Guidelines for Clinical Evaluation and Treatment.
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Joshi A, Patel K, Mohamed A, Oak S, Zhang MH, Hsiung H, Zhang A, and Patel UK
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In carpal tunnel syndrome (CTS), the median nerve is compressed at the level of the carpal tunnel in the wrist. This entrapment manifests as unpleasant symptoms, such as burning, tingling, or numbness in the palm that extends to the fingers. As the disease progresses, afflicted individuals also report decreased grip strength accompanied by hand weakness and restricted movement. The first half of this review elaborates on CTS pathology by providing readers with a comprehensive understanding of the etiology, relevant anatomy, and disease mechanism. CTS is considered the most common entrapment neuropathy, affecting around 3-6% of the adult population. Further, CTS prevalence has seen a dramatic increase in the last few decades paralleling the growth of everyday technology usage. Despite how common it is to have CTS, it can be quite challenging for physicians to make a definite diagnosis due to differentials that present with overlapping symptoms. Even more difficult can be deciding on a course of treatment that is the most effective and considerate of patient needs. Thus arises the need for clear clinical direction, and hence we end with a discussion around such guidelines that serve as a starting point toward effective diagnoses and patient treatment., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2022, Joshi et al.)
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- 2022
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39. Epidemiology, Burden, and Association of Substance Abuse Amongst Patients With Cardiovascular Disorders: National Cross-Sectional Survey Study.
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Chelikam N, Vyas V, Dondapati L, Iskander B, Patel G, Jain S, Singla T, Bombaywala A, Zarrate D, Debnath N, Jain NK, Peela AS, Patel UK, and Sharma A
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Background: Substance use disorders (SUDs) are considered to be a major risk factor for cardiovascular disorders (CVDs). In 2019, as per the National Drug Use and Health Survey (NSDUH), 20.4 million American adults suffered from a substance use disorder. The main purpose of this study is to determine the prevalence of several SUDs (cigarette smoking, cigar, smokeless tobacco, marijuana, cocaine/heroin/methamphetamine, and injectable illegal drug) amongst patients diagnosed with various CVDs (angina pectoris, myocardial infarction, and coronary heart disease)., Methods: This is a retrospective cross-sectional study carried out using the National Health and Nutrition Examination Survey (NHANES) database from 2013 to 2018, and respondents with CVDs were recognized using questionnaires. Different SUDs (active history) were identified amongst the adult population with a history of CVDs and without CVDs. Univariate analysis was performed using chi-square and unpaired t-test/Mann-Whitney test to identify characteristics of respondents with CVDs and mix effect multivariable logistic regression models were generated to find the prevalence of SUDs amongst the CVD population. Datasets were analyzed using Statistical Analysis System (SAS) software, and the p-value of < 0.05 was considered statistically significant., Results: Of the 263465 respondents, 7.90% respondents were diagnosed with CVDs and were noted to be in older age group (median age: 69 years). CVDs were more prevalent amongst 66-years and above (19.36% vs. 45-64 years: 6.81% vs. 18-44 years: 1.17%), male (10.40% vs. female: 5.66%), Non-Hispanic White race (10.92%), and lower annual household income population (<$25000 vs. >$100,000:12.21% vs. 4.01%) (p<0.0001). When compared with respondents without a history of CVDs, respondents with a history of CVDs were noted to be more prevalent with a concurrent diagnosis of hypertension (85.98% vs. 79.53%), hypercholesterolemia (68.78% vs. 34.54%), diabetes (37.86% vs. 12.70%), stroke (17.4% vs. 2.71%), and congestive heart failure (28.80% vs. 1.31%) (p<0.0001). History of CVDs were more prevalent amongst the respondents using marijuana (overall 53.14%; CVD vs. no-CVD 65.42% vs. 52.81%; p<0.0001), cigarette smoking (60.47% vs. 40.41%; p<0.0001), cigar-smoking (47.05% vs. 35.58%; p<0.0001), methamphetamine/cocaine/heroin (23.82% vs. 16.71%; p<0.0001), smokeless tobacco use (18.53% vs. 14.59%; p<0.0001), and injectable illegal drug use (4.67% vs. 2.43%; p<0.0001). Additionally, prevalence of history of CVDs was almost double in respondents using cigarettes without filters (2.28% vs. 1.10%; p<0.0001) when compared with respondents using cigarettes with filters., Conclusion: Respondents who used marijuana or hashish, injectable illegal drugs, and e-cigars were at elevated risk for cardiovascular disorders. Providing situational awareness and offering a good support system can be a strategy to prevent the development of cardiovascular disorders among substance users., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2022, Chelikam et al.)
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- 2022
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40. Programmed Death-Ligand 1 (PD-L1) Positivity and Factors Associated with Poor Prognosis in Patients with Gastric Cancer: An Umbrella Meta-Analysis.
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Hassen G, Kasar A, Jain N, Berry S, Dave J, Zouetr M, Priyanka Ganapathiraju VLN, Kurapati T, Oshai S, Saad M, Pathan J, Kamat S, Tirupathi R, Patel UK, and Rana RK
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Gastric cancer (GC) is one of the most common malignancies throughout the world with late diagnosis and poor prognosis. The expression of programmed death-ligand 1 (PD-L1) in GC is attributed to immune evasion and tumor progression. PD-L1 positivity has both predictive and prognostic biomarker potential. Aiming to summarize a large amount of research and to provide a definitive conclusion to the conflicting results on the prognostic significance of PD-L1 expression in GC, we performed an umbrella review based on existing meta-analyses which were published recently (2016-2021) and indexed in the PubMed database. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was used in August 2021 to screen articles, and data extraction with quality assessment was performed on the selected meta-analyses. Review Manager (RevMan) 5.3 software was used to analyze the HR and OR with a 95% confidence interval (CI) among PD-L1 positive GC patients. We also assessed the between-study heterogeneity ( I
2 ). Forest and Funnel plots were obtained, and a P -value of <0.05 was considered statistically significant. A total of 567 articles were screened, and we selected three meta-analyses with a total of 40 studies conducted over a period of 14 years. In our umbrella review, a total of 8,419 GC patients with an average PD-L1 positivity of 39% were analyzed. We found that PD-L1 positivity in GC patients is associated with poor prognosis (pooled HR =1.44, 95% CI: 1.24-1.68, P <0.00001) having higher mortality reducing the chances of overall survival (OS). However, there are no significant differences in PD-L1 expression among different lymph node (LN) metastases (OR=1.31, 95% CI: 0.98-1.74, P =0.07) and tumor, node, and metastasis (TNM) stages (OR=1.13, 95% CI: 0.80-1.58, P =0.50). Early identification of PD-L1 expression may help tailor cost-effective and targeted immunotherapy among GC patients. More research is needed to further understand how PD-L1 affects LN metastasis and tumor invasion., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2022, Hassen et al.)- Published
- 2022
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41. An Analysis of Epidemiological Factors in Heart Failure Outcomes.
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Patel K, Taneja K, Mohamed A, Batchu S, Hsiung H, Mott C, Tornberg H, and Patel UK
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Background Various socioeconomic and demographic factors play a role in determining treatment outcomes across numerous conditions. Different studies have shown that certain demographic factors, such as income status, directly correlate with treatment outcomes. In this study, we analyze the effect of some of these variables, namely, insurance and age, on various endpoints, including length of stay and discharge status, among heart failure patients. Methodology The data used in this project were retrieved from the HealthCare Utilization Project. We sorted the data by insurance, age, length of stay, and discharge status. To compare discharge status between different insurance types and age groups, we used Stata to compute odds ratios and 95% confidence intervals. To compare the length of stay among different age groups and insurance types, we conducted an unpaired two-tailed Student's t-test. Results Across all age groups, we found that younger patients with heart failure are more likely to discharge against medical advice compared to older patients. The average length of stay for heart failure patients was the same across all age groups except those 85 and older. Moreover, patients with a lower socioeconomic status, as determined by insurance type, were more likely to discharge against medical advice and less likely to die within hospitals. Conclusions Our results speak to the socioeconomic inequalities seen in medicine today. Studies have shown that those with a lower socioeconomic status tend to have worse outcomes across various conditions. Our analysis shows this phenomenon holds true for heart failure as well. In addition, our study helps to determine which groups are at higher risk of making medical decisions, such as discharging against medical advice, that will negatively affect their condition. Identifying these high-risk groups is a key first step to counteracting such behavior., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2022, Patel et al.)
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- 2022
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42. Using Ethereum Smart Contracts to Store and Share COVID-19 Patient Data.
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Batchu S, Patel K, Henry OS, Mohamed A, Agarwal AA, Hundal H, Joshi A, Thoota S, and Patel UK
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Introduction The emergence and rapid spread of the coronavirus disease 2019 (COVID-19) pandemic have revealed the limitations in current healthcare systems to handle patient records securely and transparently, and novel protocols are required to address these shortcomings. An attractive option is the use of Ethereum smart contracts to secure the storage of medical records and concomitant data logs. Ethereum is an open-source platform that can be used to construct smart contracts, which are collections of code that allow transactions under certain parameters and are self-executable. Methods The present study developed a proof-of-concept smart contract that stores COVID-19 patient data such as the patient identifier (ID), variant, chest CT grade, and significant comorbidities. A sample, fictitious patient data for the purpose of testing was configured to a private network. A smart contract was created in the Ethereum state and tested by measuring the time to insert and query patient data. Results Testing with a private, Proof of Authority (PoA) network required only 191 milliseconds and 890 MB of memory per insertion to insert 50 records while inserting 350 records required 674 milliseconds and similar memory per insertion, as memory per insertion was nearly constant with the increasing number of records inserted. Retrieving required 912 MB for a query involving all three fields and no wildcards in a 350-record database. Only 883 MB was needed to procure a similar observation from a 50-record database. Conclusion This study exemplifies the use of smart contracts for efficient retrieval/insertion of COVID-19 patient data and provides a case use of secure and efficient data logging for sensitive COVID-19 data., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2022, Batchu et al.)
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- 2022
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43. The Cognitive-Enhancing Outcomes of Caffeine and L-theanine: A Systematic Review.
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Anas Sohail A, Ortiz F, Varghese T, Fabara SP, Batth AS, Sandesara DP, Sabir A, Khurana M, Datta S, and Patel UK
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Attention-deficit hyperactivity disorder (ADHD) affects multiple cognitive domains, including impaired attention, hyperactivity, and increased impulsivity. According to the CDC, 9.4% of children between 2 and 17 years old have been diagnosed with ADHD. Neurotransmitters such as noradrenaline and dopamine have been suggested as crucial players in the pathophysiology of ADHD and are often targets of modern medication. Adenosine receptors types A1 and A2a in the brain are inhibited by caffeine: a stimulant known to augment attention by increasing cholinergic and dopaminergic transmission. The cognitive function of attention is also enhanced by the amino acid: L-theanine. The mechanism of action is that it behaves like a glutamate reuptake inhibitor while also acting in the hippocampus as a competitive low-affinity glutamate receptor antagonist. It's also shown to have a neuroprotective effect by its action on the gamma aminobutyric acid (GABA)-A receptors. Our systematic review investigates the literature and clinical trials on the cognitive-enhancing effects of caffeine and L-theanine., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2021, Anas Sohail et al.)
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- 2021
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44. Is there a smoker's paradox in COVID-19?
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Usman MS, Siddiqi TJ, Khan MS, Patel UK, Shahid I, Ahmed J, Kalra A, and Michos ED
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- Humans, SARS-CoV-2, Smoking, COVID-19, Smokers
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Although it is well established that cigarette smoking is associated with morbidity and mortality in several respiratory infections, data from recent studies suggest that active smokers are underrepresented among patients with COVID-19. This has led to claims that a 'smoker's paradox' may exist in COVID-19, wherein smokers are protected from infection and severe complications of COVID-19. We aimed to review and summarise existing literature in this context. Electronic databases were searched for articles that reported prevalence of smokers among patients with COVID-19 or studied any association of smoking with outcomes among patients with COVID-19. We identified several biases and knowledge gaps which may give the false impression that smoking is protective in COVID-19. As of now, the data supporting smoker's paradox claims are limited and questionable. Plausible biologic mechanisms by which smoking might be protective in COVID-19 include an anti-inflammatory effect of nicotine, a blunted immune response in smokers (reducing the risk of a cytokine storm in COVID-19) and increased nitric oxide in the respiratory tract (which may inhibit replication of SARS-CoV-2 and its entry into cells). On the other hand, smoking may worsen susceptibility and prognosis in COVID-19, in a manner similar to other respiratory infections. The claims of a protective effect must be viewed with extreme caution by both the general population as well as clinicians. Further investigations into the interaction between smoking and COVID-19 are warranted to accurately assess the risk of contracting COVID-19 among smokers, and progression to mechanical ventilation or death in patients suffering from it., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.)
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- 2021
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45. Post-Hemorrhagic Hydrocephalus and Outcomes Amongst Neonates With Intraventricular Hemorrhage: A Systematic Review and Pooled Analysis.
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Pinto C, Malik P, Desai R, Shelar V, Bekina-Sreenivasan D, Satnarine TA, Lavado LK, Singla R, Chavda D, Kaul S, Datta S, Shah S, and Patel UK
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Introduction Intraventricular hemorrhage (IVH) is a common cause of morbidity and mortality in preterm neonates. IVH leads to complications such as posthemorrhagic hydrocephalus (PHH), which commonly occurs in neonates with a more severe degree of IVH. Hence, we aimed to evaluate the characteristics and outcomes of PHH in neonates with IVH. Methods We performed a systematic review of cases reported from January 1978 to December 2020 through the PubMed database, using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and the keywords 'intraventricular hemorrhage,' 'cerebral intraventricular hemorrhage,' and 'newborn.' A total of 79 articles were considered for analysis, and data on neonatal and maternal characteristics and outcomes were collected. The analysis was performed by using the χ2 test, Wilcoxon rank-sum test, and multivariate logistic regression model. Results We analyzed a total of 101 IVH cases, 54.5% were male and 62.4% preterm. Thirteen point nine percent (13.9%) presented with grade I, 35.6% grade II, and grade III respectively, and 8% grade IV IVH. Among the 59 (58.4%) neonates with PHH, 33.6% had resolved PHH and 24.8% had unresolved. In adjusted regression analysis, we found that neonates with resolved PHH have lower odds of having neurodevelopmental delay (OR:0.15, 95%CI:0.03-0.74; p=0.02) and death (OR:0.9;95%CI:0.01-0.99; p=0.049) as compared to unresolved PHH. Conclusion Our study showed that neonates with resolved PHH have a statistically significant lower risk of neurodevelopmental delay (NDD) and mortality. Future studies should be planned to evaluate the role of treatment and its effect on outcomes in IVH neonates with PHH as a complication., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2021, Pinto et al.)
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- 2021
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46. Emerging Needs and Viability of Telepsychiatry During and Post COVID-19 Era: A Literature Review.
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Gude J, Subhedar RV, Zhang MH, Jain P, Bhela J, Bangash F, Veluri N, Hsieh YC, Sheikh BZ, Shah MR, Mansuri Z, Aedma K, Patel UK, and Parikh T
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The coronavirus disease 2019 (COVID-19) pandemic has resulted in nationwide stay-at-home orders in an effort to slow the spread severely impacting the healthcare sector. Telepsychiatry provides a platform bridging the gap through advanced technologies connecting mental health providers and patients who need their services, overcoming previous barriers of great distances, lack of transportation, and even time constraints. The most obvious benefit is increased accessibility to mental healthcare, especially in underserved and remote areas where there is no easy access for in-person care. It is important to note that benefits are not limited to patients, but also allow clinicians greater flexibility in scheduling and reduced practice overhead costs, both of which aid with physician burnout and burden. Telepsychiatry during COVID-19 provides its own unique advantages over in-person visits. The risk of exposure to healthcare workers and patients receiving care is reduced, allowing immunocompromised patients to receive much-needed psychiatric care. Without the need to meet in person, self-isolating psychiatrists can still provide care, decreasing strain on their co-workers. Although telepsychiatry is relatively new, it has already exhibited considerable success in its effectiveness at treating psychiatric conditions and widespread corollary benefits. Telepsychiatric consults may be carried out synchronously and asynchronously, each having benefits and setbacks. Different mobile application interventions have been explored, which are available for the purpose of both monitoring/assessing patients and/or providing treatment. The scope of conditions these applications address is broad, from anxiety disorders to schizophrenia to depression. As promising and beneficial telepsychiatry may seem, it is necessary to recognize that building the program can be challenging. It involves adapting to new methods in medicine. We highlighted barriers to general telepsychiatry, the most prominent being technological literacy of both physician and patient, and possible negative effects of eliminating the in-person patient-doctor interaction., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2021, Gude et al.)
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- 2021
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47. Efficacy of Pitolisant on the Treatment of Narcolepsy: A Systematic Review.
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Fabara SP, Ortiz JF, Anas Sohail A, Hidalgo J, Altamimi A, Tama B, and Patel UK
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Narcolepsy is characterized by excessive daytime sleepiness (EDS) and cataplexy. Histamine neurons play an important role in enhancing wakefulness. The objective of our study was to evaluate the efficacy of pitolisant, a histamine 3 (H3)-receptor antagonist/inverse agonist, in patients with a high burden of narcolepsy symptoms. We conducted an advanced PubMed search strategy with inclusion and exclusion criteria. The outcome included the Epworth Sleepiness Scale (ESS) and adverse effects frequency. Our primary outcome included the mean ESS score at the endpoint and showed that pitolisant was superior to the placebo, but not non-inferior to modafinil. Adverse effects were less common and shorter in duration in the pitolisant group compared to the modafinil-treated patients. Pitolisant was efficacious in reducing excessive daytime sleepiness and cataplexy compared with placebo, and it was well-tolerated in patients with severe narcolepsy symptoms as compared with modafinil., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2021, Fabara et al.)
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- 2021
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48. Forty Years Since the Epidemic: Modern Paradigms in HIV Diagnosis and Treatment.
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Patel K, Zhang A, Zhang MH, Bunachita S, Baccouche BM, Hundal H, Lavado LK, Agarwal A, Malik P, and Patel UK
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Human immunodeficiency virus (HIV) is a viral infection that, when transmitted through the exchange of certain bodily fluids, destroys various immune cells and contributes to an overall weakened immune system. If left untreated, HIV progresses to acquired immunodeficiency syndrome (AIDS) - a chronic, life-threatening condition that puts patients at risk for opportunistic infections. Since the emergence of HIV nearly a century ago, the world has seen tremendous advances in elucidating its pathology and progression. These advances have been accompanied by an increased understanding of how subsequent effects and symptoms manifest in afflicted individuals. These discoveries, coupled with the ever-improving technologies and methodologies used for detection and treatment, provide the scientific and medical community with a solid grasp of HIV. Despite this significant headway, there is still much progress to be made; medical advances have allowed people with HIV to manage their disease and live a longer, healthier life, but a definite cure is yet to be found. Thus, the following literature review serves as both an extensive compendium of our current understanding of HIV - its pathology, testing/detection, repercussions, and treatment - and an acknowledgement of the areas that still require further research., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2021, Patel et al.)
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- 2021
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49. Risk Factors and Incidence of Acute Ischemic Stroke: A Comparative Study Between Young Adults and Older Adults.
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Patel UK, Dave M, Lekshminarayanan A, Malik P, DeMasi M, Chandramohan S, Pillai S, Tirupathi R, Shah S, Jani VB, and Dhamoon MS
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Introduction Approximately 5-10% of strokes occur in adults of less than 45 years of age. The rising prevalence of stroke risk factors may increase stroke rates in young adults (YA). We aimed to compare risk factors and outcomes of acute ischemic stroke (AIS) among YA. Methods Adult hospitalizations for AIS and concurrent risk factors were found in the Nationwide Inpatient Sample database. Weighted analysis using chi-square and multivariable survey logistic regression was performed to evaluate AIS-related outcomes and risk factors among YA (18-45 years) and older patients. Results A total of 4,224,924 AIS hospitalizations were identified from 2003 to 2014, out of which 198,378 (4.7%) were YA. Prevalence trend of YA with AIS showed incremental pattern over time (2003: 4.36% to 2014: 4.7%; pTrend<0.0001). In regression analysis, the risk factors associated with AIS in YA were obesity (adjusted odds ratio {aOR}: 2.26; p<0.0001), drug abuse (aOR: 2.56; p<0.0001), history of smoking (aOR: 1.20; p<0.0001), infective endocarditis (aOR: 2.08; p<0.0001), cardiomyopathy (aOR: 2.11; p<0.0001), rheumatic fever (aOR: 4.27; p=0.0014), atrial septal disease (aOR: 2.46; p<0.0001), ventricular septal disease (aOR: 4.99; p<0.0001), HIV infection (aOR: 4.36; p<0.0001), brain tumors (aOR: 7.89; p<0.0001), epilepsy (aOR: 1.43; p<0.0001), end stage renal disease (aOR: 2.19; p<0.0001), systemic lupus erythematous (aOR: 3.76; p<0.0001), polymyositis (aOR: 2.72; p=0.0105), ankylosis spondylosis (aOR: 2.42; p=0.0082), hypercoagulable state (aOR: 4.03; p<0.0001), polyarteritis nodosa (aOR: 5.65; p=0.0004), and fibromuscular dysplasia (aOR: 2.83; p<0.0001). Conclusion There is an increasing trend in AIS prevalence over time among YA. Both traditional and non-traditional risk factors suggest that greater awareness is needed, with prevention strategies for AIS among young adults., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2021, Patel et al.)
- Published
- 2021
- Full Text
- View/download PDF
50. Elder Abuse: A Comprehensive Overview and Physician-Associated Challenges.
- Author
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Patel K, Bunachita S, Chiu H, Suresh P, and Patel UK
- Abstract
Elder abuse can present in many forms, including physical abuse, psychological/emotional abuse, sexual abuse, financial abuse, and neglect. Many studies estimate that about 10% of all people over the age of 65 experience some form of abuse. These rates are often higher in long-term care facilities such as nursing homes, despite government regulations aimed toward addressing this issue. Because patients who experience abuse tend to have higher rates of hospitalization and mortality, it is important for physicians to be able to accurately identify cases of abuse. However, many studies have found that healthcare professionals are often undertrained and ill-equipped in diagnosing elder abuse. In this article, we outline tools that may be able to aid healthcare professionals in their diagnoses, such as survey-based methodology and common physical signs of abuse. In addition, we propose evidence-based solutions, including the use of multidisciplinary teams and increased training on the subject, so that healthcare professionals can more easily identify victims of abuse. Essentially, it is our hope that this article further spotlights elder abuse and its challenges, while serving as a guide to healthcare professionals., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2021, Patel et al.)
- Published
- 2021
- Full Text
- View/download PDF
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