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4,047 results on '"Woodward, Mark"'

101. Plasma viscosity, immunoglobulins and risk of cardiovascular disease and mortality: new data and meta-analyses.

Author

Lowe, Gordon D. O., Harris, Katie, Koenig, Wolfgang, Ben-Shlomo, Yoav, Thorand, Barbara, Peters, Annette, Meisinger, Christa, Imhof, Armin, Tunstall-Pedoe, Hugh, Peters, Sanne A. E., and Woodward, Mark

Subjects
CARDIOVASCULAR disease related mortality, BLOOD viscosity, IMMUNOGLOBULINS, VISCOSITY, IMMUNOGLOBULIN M, CARDIOVASCULAR diseases risk factors
Published
2024
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102. Hypertension and Mild Cognitive Impairment: State-of-the-Art Review.

Author

Shajahan, Sultana, Peters, Ruth, Carcel, Cheryl, Woodward, Mark, Harris, Katie, and Anderson, Craig S

Subjects
MILD cognitive impairment, HYPERTENSION, ANTIHYPERTENSIVE agents, COGNITION disorders, AGE groups
Abstract

BACKGROUND Mid-life hypertension is associated with cognitive decline and dementia in later life. Reducing high blood pressure (BP) with antihypertensive agents is a well-researched strategy to prevent dementia and mild cognitive impairment (MCI). However, there is still limited direct evidence to support the approach, and particularly for the treatment of the very old and those with existing MCI. METHODS This review presents an overview of the current evidence for the relationship between MCI and hypertension, and of the potential pathophysiological mechanisms related to cognitive decline and incidence dementia in relation to aging. RESULTS Although observational data are near consistent in showing an association between mid-life hypertension and MCI and/or dementia, the evidence in relation to hypertension in younger adults and the very old (age >80 years) is much more limited. Most of the commonly available antihypertensive agents appear to provide beneficial effects in reducing the risk dementia, but there is limited evidence to support such treatment in those with existing MCI. CONCLUSIONS Further studies are needed to determine the optimal levels of BP control across different age groups, especially in adults with MCI, and which class(es) of antihypertensive agents and duration of treatment best preserve cognitive function in those at risk of, or with established, MCI. [ABSTRACT FROM AUTHOR]

Published
2024
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103. Polygenic risk scores predict diabetes complications and their response to intensive blood pressure and glucose control

Author

Tremblay, Johanne, Haloui, Mounsif, Attaoua, Redha, Tahir, Ramzan, Hishmih, Camil, Harvey, François, Marois-Blanchet, François-Christophe, Long, Carole, Simon, Paul, Santucci, Lara, Hizel, Candan, Chalmers, John, Marre, Michel, Harrap, Stephen, Cífková, Renata, Krajčoviechová, Alena, Matthews, David R., Williams, Bryan, Poulter, Neil, Zoungas, Sophia, Colagiuri, Stephen, Mancia, Giuseppe, Grobbee, Diederick E., Rodgers, Anthony, Liu, Liusheng, Agbessi, Mawussé, Bruat, Vanessa, Favé, Marie-Julie, Harwood, Michelle P., Awadalla, Philip, Woodward, Mark, Hussin, Julie G., and Hamet, Pavel

Published
2021
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106. Serum potassium and adverse outcomes across the range of kidney function: a CKD Prognosis Consortium meta-analysis.

Author

Kovesdy, Csaba P, Matsushita, Kunihiro, Sang, Yingying, Brunskill, Nigel J, Carrero, Juan J, Chodick, Gabriel, Hasegawa, Takeshi, Heerspink, Hiddo L, Hirayama, Atsushi, Landman, Gijs WD, Levin, Adeera, Nitsch, Dorothea, Wheeler, David C, Coresh, Josef, Hallan, Stein I, Shalev, Varda, Grams, Morgan E, Astor, Brad, Appel, Larry, Greene, Tom, Chen, Teresa, Chalmers, John, Woodward, Mark, Arima, Hisatomi, Perkovic, Vlado, Djurdjev, Ognjenka, Zhang, Luxia, Liu, Lisheng, Zhao, Minghui, Wang, Fang, Wang, Jinwei, Tang, Mila, Iso, Hiroyasu, Yamagishi, Kazumasa, Umesawa, Mitsumasa, Muraki, Isao, Fukagawa, Masafumi, Maruyama, Shoichi, Hamano, Takayuki, Fujii, Naohiko, Wheeler, David, Emberson, John, Townend, John, Landray, Martin, Green, Jamie, Kirchner, H Lester, Chang, Alex R, Cirillo, Massimo, Jee, Sun Ha, Kimm, Heejin, Mok, Yejin, Wetzels, Jack FM, Blankestijn, Peter J, van Zuilen, Arjan D, Bots, M, Sarnak, Mark, Inker, Lesley, Roderick, Paul, Fletcher, Astrid, Bottinger, Erwin, Nadkarni, Girish N, Ellis, Stephen B, Nadukuru, Rajiv, Brunskill, Nigel, Major, Rupert, Shepherd, David, Medcalf, James, Gansevoort, Ron T, Bakker, Stephan JL, Heerspink, Hiddo J Lambers, Jassal, Simerjot K, Bergstrom, Jaclyn, Ix, Joachim H, Barrett-Connor, Elizabeth, Kovesdy, Csaba, Kalantar-Zadeh, Kamyar, de Zeeuw, Dick, Brenner, Barry, Gasparini, Alessandro, Elinder, Carl-Gustaf, Barany, Peter, Evans, Marie, Segelmark, Mårten, Stendahl, Maria, Schön, Staffan, Tangri, Navdeep, Sud, Maneesh, Naimark, David, Wen, Chi-Pang, and Tsao, Chwen-Keng

Subjects
Kidney Disease, Prevention, Clinical Research, Evaluation of treatments and therapeutic interventions, 6.1 Pharmaceuticals, Renal and urogenital, Cardiovascular, Good Health and Well Being, Adult, Aged, Albuminuria, Cardiovascular Diseases, Cause of Death, Comorbidity, Glomerular Filtration Rate, Humans, Hyperkalemia, Hypokalemia, Kidney Failure, Chronic, Middle Aged, Prognosis, Renal Insufficiency, Chronic, Risk Factors, Potassium, Estimated glomerular filtration rate, End-stage renal disease, Mortality, CKD Prognosis Consortium, Cardiorespiratory Medicine and Haematology, Clinical Sciences, Cardiovascular System & Hematology
Abstract

AimsBoth hypo- and hyperkalaemia can have immediate deleterious physiological effects, and less is known about long-term risks. The objective was to determine the risks of all-cause mortality, cardiovascular mortality, and end-stage renal disease associated with potassium levels across the range of kidney function and evaluate for consistency across cohorts in a global consortium.Methods and resultsWe performed an individual-level data meta-analysis of 27 international cohorts [10 general population, 7 high cardiovascular risk, and 10 chronic kidney disease (CKD)] in the CKD Prognosis Consortium. We used Cox regression followed by random-effects meta-analysis to assess the relationship between baseline potassium and adverse outcomes, adjusted for demographic and clinical characteristics, overall and across strata of estimated glomerular filtration rate (eGFR) and albuminuria. We included 1 217 986 participants followed up for a mean of 6.9 years. The average age was 55 ± 16 years, average eGFR was 83 ± 23 mL/min/1.73 m2, and 17% had moderate- to-severe increased albuminuria levels. The mean baseline potassium was 4.2 ± 0.4 mmol/L. The risk of serum potassium of >5.5 mmol/L was related to lower eGFR and higher albuminuria. The risk relationship between potassium levels and adverse outcomes was U-shaped, with the lowest risk at serum potassium of 4-4.5 mmol/L. Compared with a reference of 4.2 mmol/L, the adjusted hazard ratio for all-cause mortality was 1.22 [95% confidence interval (CI) 1.15-1.29] at 5.5 mmol/L and 1.49 (95% CI 1.26-1.76) at 3.0 mmol/L. Risks were similar by eGFR, albuminuria, renin-angiotensin-aldosterone system inhibitor use, and across cohorts.ConclusionsOutpatient potassium levels both above and below the normal range are consistently associated with adverse outcomes, with similar risk relationships across eGFR and albuminuria.

Published
2018

107. Measures of chronic kidney disease and risk of incident peripheral artery disease: a collaborative meta-analysis of individual participant data

Author

Matsushita, Kunihiro, Ballew, Shoshana H, Coresh, Josef, Arima, Hisatomi, Ärnlöv, Johan, Cirillo, Massimo, Ebert, Natalie, Hiramoto, Jade S, Kimm, Heejin, Shlipak, Michael G, Visseren, Frank LJ, Gansevoort, Ron T, Kovesdy, Csaba P, Shalev, Varda, Woodward, Mark, Kronenberg, Florian, Chalmers, John, Perkovic, Vlado, Grams, Morgan E, Sang, Yingying, Schaeffner, Elke, Martus, Peter, Levin, Adeera, Djurdjev, Ognjenka, Tang, Mila, Heine, Gunnar, Seiler, Sarah, Zawada, Adam, Emrich, Insa, Sarnak, Mark, Katz, Ronit, Brenner, Hermann, Schöttker, Ben, Rothenbacher, Dietrich, Saum, Kai-Uwe, Köttgen, Anna, Schneider, Markus, Eckardt, Kai-Uwe, Green, Jamie, Kirchner, H Lester, Chang, Alex R, Black, Corri, Marks, Angharad, Prescott, Gordon, Clark, Laura, Fluck, Nick, Jee, Sun Ha, Mok, Yejin, Chodick, Gabriel, Wetzels, Jack FM, Blankestijn, Peter J, van Zuilen, Arjan D, Bots, M, Peralta, Carmen, Hiromoto, Jade, Bottinger, Erwin, Nadkarni, Girish N, Ellis, Stephen B, Nadukuru, Rajiv, Kenealy, Timothy, Elley, C Raina, Collins, John F, Drury, Paul L, Bakker, Stephan JL, Heerspink, Hiddo J Lambers, Jassal, Simerjot K, Bergstrom, Jaclyn, Ix, Joachim H, Barrett-Connor, Elizabeth, Kalantar-Zadeh, Kamyar, Carrero, Juan J, Gasparini, Alessandro, Qureshi, Abdul Rashid, Barany, Peter, Algra, Ale, van der Graaf, Yolanda, Evans, Marie, Segelmark, Mårten, Stendahl, Maria, Schön, Staffan, Tangri, Navdeep, Sud, Maneesh, Naimark, David, Lannfelt, Lars, Larsson, Anders, Hallan, Stein, Levey, Andrew S, Chen, Jingsha, and Kwak, Lucia

Subjects
Clinical Research, Kidney Disease, Prevention, Renal and urogenital, Good Health and Well Being, Adult, Aged, Albuminuria, Creatinine, Databases, Factual, Female, Glomerular Filtration Rate, Humans, Incidence, Male, Middle Aged, Peripheral Arterial Disease, Renal Insufficiency, Chronic, Risk Factors, Chronic Kidney Disease Prognosis Consortium, Medical Biochemistry and Metabolomics, Clinical Sciences, Public Health and Health Services
Abstract

BackgroundSome evidence suggests that chronic kidney disease is a risk factor for lower-extremity peripheral artery disease. We aimed to quantify the independent and joint associations of two measures of chronic kidney disease (estimated glomerular filtration rate [eGFR] and albuminuria) with the incidence of peripheral artery disease.MethodsIn this collaborative meta-analysis of international cohorts included in the Chronic Kidney Disease Prognosis Consortium (baseline measurements obtained between 1972 and 2014) with baseline measurements of eGFR and albuminuria, at least 1000 participants (this criterion not applied to cohorts exclusively enrolling patients with chronic kidney disease), and at least 50 peripheral artery disease events, we analysed adult participants without peripheral artery disease at baseline at the individual patient level with Cox proportional hazards models to quantify associations of creatinine-based eGFR, urine albumin-to-creatinine ratio (ACR), and dipstick proteinuria with the incidence of peripheral artery disease (including hospitalisation with a diagnosis of peripheral artery disease, intermittent claudication, leg revascularisation, and leg amputation). We assessed discrimination improvement through c-statistics.FindingsWe analysed 817 084 individuals without a history of peripheral artery disease at baseline from 21 cohorts. 18 261 cases of peripheral artery disease were recorded during follow-up across cohorts (median follow-up was 7·4 years [IQR 5·7-8·9], range 2·0-15·8 years across cohorts). Both chronic kidney disease measures were independently associated with the incidence of peripheral artery disease. Compared with an eGFR of 95 mL/min per 1·73 m2, adjusted hazard ratios (HRs) for incident study-specific peripheral artery disease was 1·22 (95% CI 1·14-1·30) at an eGFR of 45 mL/min per 1·73 m2 and 2·06 (1·70-2·48) at an eGFR of 15 mL/min per 1·73 m2. Compared with an ACR of 5 mg/g, the adjusted HR for incident study-specific peripheral artery disease was 1·50 (1·41-1·59) at an ACR of 30 mg/g and 2·28 (2·12-2·44) at an ACR of 300 mg/g. The adjusted HR at an ACR of 300 mg/g versus 5 mg/g was 3·68 (95% CI 3·00-4·52) for leg amputation. eGFR and albuminuria contributed multiplicatively (eg, adjusted HR 5·76 [4·90-6·77] for incident peripheral artery disease and 10·61 [5·70-19·77] for amputation in eGFR

Published
2017

109. C-Reactive Protein, Interleukin-6, and Vascular Recurrence According to Stroke Subtype

Author

McCabe, John J., primary, Walsh, Cathal, additional, Gorey, Sarah, additional, Harris, Katie, additional, Hervella, Pablo, additional, Iglesias-Rey, Ramon, additional, Jern, Christina, additional, Li, Linxin, additional, Miyamoto, Nobukazu, additional, Montaner, Joan, additional, Pedersen, Annie, additional, Purroy, Francisco F., additional, Rothwell, Peter M., additional, Sudlow, Cathie L., additional, Ueno, Yuji, additional, Vicente-Pascual, Mikel, additional, Whiteley, Will N., additional, Woodward, Mark, additional, and Kelly, Peter J., additional

Published
2024
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110. Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Author

Feigin, Valery L, Stark, Benjamin A, Johnson, Catherine Owens, Roth, Gregory A, Bisignano, Catherine, Abady, Gdiom Gebreheat, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abd-Allah, Foad, Abedi, Vida, Abualhasan, Ahmed, Abu-Rmeileh, Niveen ME, Abushouk, Abdelrahman I, Adebayo, Oladimeji M, Agarwal, Gina, Agasthi, Pradyumna, Ahinkorah, Bright Opoku, Ahmad, Sohail, Ahmadi, Sepideh, Ahmed Salih, Yusra, Aji, Budi, Akbarpour, Samaneh, Akinyemi, Rufus Olusola, Al Hamad, Hanadi, Alahdab, Fares, Alif, Sheikh Mohammad, Alipour, Vahid, Aljunid, Syed Mohamed, Almustanyir, Sami, Al-Raddadi, Rajaa M, Al-Shahi Salman, Rustam, Alvis-Guzman, Nelson, Ancuceanu, Robert, Anderlini, Deanna, Anderson, Jason A, Ansar, Adnan, Antonazzo, Ippazio Cosimo, Arabloo, Jalal, Ärnlöv, Johan, Artanti, Kurnia Dwi, Aryan, Zahra, Asgari, Samaneh, Ashraf, Tahira, Athar, Mohammad, Atreya, Alok, Ausloos, Marcel, Baig, Atif Amin, Baltatu, Ovidiu Constantin, Banach, Maciej, Barboza, Miguel A, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barone, Mark Thomaz Ugliara, Basu, Sanjay, Bazmandegan, Gholamreza, Beghi, Ettore, Beheshti, Mahya, Béjot, Yannick, Bell, Arielle Wilder, Bennett, Derrick A, Bensenor, Isabela M, Bezabhe, Woldesellassie Mequanint, Bezabih, Yihienew Mequanint, Bhagavathula, Akshaya Srikanth, Bhardwaj, Pankaj, Bhattacharyya, Krittika, Bijani, Ali, Bikbov, Boris, Birhanu, Mulugeta M, Boloor, Archith, Bonny, Aime, Brauer, Michael, Brenner, Hermann, Bryazka, Dana, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Campos-Nonato, Ismael R, Cantu-Brito, Carlos, Carrero, Juan J, Castañeda-Orjuela, Carlos A, Catapano, Alberico L, Chakraborty, Promit Ananyo, Charan, Jaykaran, Choudhari, Sonali Gajanan, Chowdhury, Enayet Karim, Chu, Dinh-Toi, Chung, Sheng-Chia, Colozza, David, Costa, Vera Marisa, Costanzo, Simona, Criqui, Michael H, Dadras, Omid, Dagnew, Baye, Dai, Xiaochen, Dalal, Koustuv, Damasceno, Albertino Antonio Moura, D'Amico, Emanuele, Dandona, Lalit, Dandona, Rakhi, Darega Gela, Jiregna, Davletov, Kairat, De la Cruz-Góngora, Vanessa, Desai, Rupak, Dhamnetiya, Deepak, Dharmaratne, Samath Dhamminda, Dhimal, Mandira Lamichhane, Dhimal, Meghnath, Diaz, Daniel, Dichgans, Martin, Dokova, Klara, Doshi, Rajkumar, Douiri, Abdel, Duncan, Bruce B, Eftekharzadeh, Sahar, Ekholuenetale, Michael, El Nahas, Nevine, Elgendy, Islam Y, Elhadi, Muhammed, El-Jaafary, Shaimaa I, Endres, Matthias, Endries, Aman Yesuf, Erku, Daniel Asfaw, Faraon, Emerito Jose A, Farooque, Umar, Farzadfar, Farshad, Feroze, Abdullah Hamid, Filip, Irina, Fischer, Florian, Flood, David, Gad, Mohamed M, Gaidhane, Shilpa, Ghanei Gheshlagh, Reza, Ghashghaee, Ahmad, Ghith, Nermin, Ghozali, Ghozali, Ghozy, Sherief, Gialluisi, Alessandro, Giampaoli, Simona, Gilani, Syed Amir, Gill, Paramjit Singh, Gnedovskaya, Elena V, Golechha, Mahaveer, Goulart, Alessandra C, Guo, Yuming, Gupta, Rajeev, Gupta, Veer Bala, Gupta, Vivek Kumar, Gyanwali, Pradip, Hafezi-Nejad, Nima, Hamidi, Samer, Hanif, Asif, Hankey, Graeme J, Hargono, Arief, Hashi, Abdiwahab, Hassan, Treska S, Hassen, Hamid Yimam, Havmoeller, Rasmus J, Hay, Simon I, Hayat, Khezar, Hegazy, Mohamed I, Herteliu, Claudiu, Holla, Ramesh, Hostiuc, Sorin, Househ, Mowafa, Huang, Junjie, Humayun, Ayesha, Hwang, Bing-Fang, Iacoviello, Licia, Iavicoli, Ivo, Ibitoye, Segun Emmanuel, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Iqbal, Usman, Irvani, Seyed Sina Naghibi, Islam, Sheikh Mohammed Shariful, Ismail, Nahlah Elkudssiah, Iso, Hiroyasu, Isola, Gaetano, Iwagami, Masao, Jacob, Louis, Jain, Vardhmaan, Jang, Sung-In, Jayapal, Sathish Kumar, Jayaram, Shubha, Jayawardena, Ranil, Jeemon, Panniyammakal, Jha, Ravi Prakash, Johnson, Walter D, Jonas, Jost B, Joseph, Nitin, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kalani, Rizwan, Kalhor, Rohollah, Kalkonde, Yogeshwar, Kamath, Ashwin, Kamiab, Zahra, Kanchan, Tanuj, Kandel, Himal, Karch, André, Katoto, Patrick DMC, Kayode, Gbenga A, Keshavarz, Pedram, Khader, Yousef Saleh, Khan, Ejaz Ahmad, Khan, Imteyaz A, Khan, Maseer, Khan, Moien AB, Khatib, Mahalaqua Nazli, Khubchandani, Jagdish, Kim, Gyu Ri, Kim, Min Seo, Kim, Yun Jin, Kisa, Adnan, Kisa, Sezer, Kivimäki, Mika, Kolte, Dhaval, Koolivand, Ali, Koulmane Laxminarayana, Sindhura Lakshmi, Koyanagi, Ai, Krishan, Kewal, Krishnamoorthy, Vijay, Krishnamurthi, Rita V, Kumar, G Anil, Kusuma, Dian, La Vecchia, Carlo, Lacey, Ben, Lak, Hassan Mehmood, Lallukka, Tea, Lasrado, Savita, Lavados, Pablo M, Leonardi, Matilde, Li, Bingyu, Li, Shanshan, Lin, Hualiang, Lin, Ro-Ting, Liu, Xuefeng, Lo, Warren David, Lorkowski, Stefan, Lucchetti, Giancarlo, Lutzky Saute, Ricardo, Magdy Abd El Razek, Hassan, Magnani, Francesca Giulia, Mahajan, Preetam Bhalchandra, Majeed, Azeem, Makki, Alaa, Malekzadeh, Reza, Malik, Ahmad Azam, Manafi, Navid, Mansournia, Mohammad Ali, Mantovani, Lorenzo Giovanni, Martini, Santi, Mazzaglia, Giampiero, Mehndiratta, Man Mohan, Menezes, Ritesh G, Meretoja, Atte, Mersha, Amanual Getnet, Miao Jonasson, Junmei, Miazgowski, Bartosz, Miazgowski, Tomasz, Michalek, Irmina Maria, Mirrakhimov, Erkin M, Mohammad, Yousef, Mohammadian-Hafshejani, Abdollah, Mohammed, Shafiu, Mokdad, Ali H, Mokhayeri, Yaser, Molokhia, Mariam, Moni, Mohammad Ali, Montasir, Ahmed Al, Moradzadeh, Rahmatollah, Morawska, Lidia, Morze, Jakub, Muruet, Walter, Musa, Kamarul Imran, Nagarajan, Ahamarshan Jayaraman, Naghavi, Mohsen, Narasimha Swamy, Sreenivas, Nascimento, Bruno Ramos, Negoi, Ruxandra Irina, Neupane Kandel, Sandhya, Nguyen, Trang Huyen, Norrving, Bo, Noubiap, Jean Jacques, Nwatah, Vincent Ebuka, Oancea, Bogdan, Odukoya, Oluwakemi Ololade, Olagunju, Andrew T, Orru, Hans, Owolabi, Mayowa O, Padubidri, Jagadish Rao, Pana, Adrian, Parekh, Tarang, Park, Eun-Cheol, Pashazadeh Kan, Fatemeh, Pathak, Mona, Peres, Mario F P, Perianayagam, Arokiasamy, Pham, Truong-Minh, Piradov, Michael A, Podder, Vivek, Polinder, Suzanne, Postma, Maarten J, Pourshams, Akram, Radfar, Amir, Rafiei, Alireza, Raggi, Alberto, Rahim, Fakher, Rahimi-Movaghar, Vafa, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rajai, Nazanin, Ranasinghe, Priyanga, Rao, Chythra R, Rao, Sowmya J, Rathi, Priya, Rawaf, David Laith, Rawaf, Salman, Reitsma, Marissa B, Renjith, Vishnu, Renzaho, Andre M N, Rezapour, Aziz, Rodriguez, Jefferson Antonio Buendia, Roever, Leonardo, Romoli, Michele, Rynkiewicz, Andrzej, Sacco, Simona, Sadeghi, Masoumeh, Saeedi Moghaddam, Sahar, Sahebkar, Amirhossein, Saif-Ur-Rahman, KM, Salah, Rehab, Samaei, Mehrnoosh, Samy, Abdallah M, Santos, Itamar S, Santric-Milicevic, Milena M, Sarrafzadegan, Nizal, Sathian, Brijesh, Sattin, Davide, Schiavolin, Silvia, Schlaich, Markus P, Schmidt, Maria Inês, Schutte, Aletta Elisabeth, Sepanlou, Sadaf G, Seylani, Allen, Sha, Feng, Shahabi, Saeed, Shaikh, Masood Ali, Shannawaz, Mohammed, Shawon, Md Shajedur Rahman, Sheikh, Aziz, Sheikhbahaei, Sara, Shibuya, Kenji, Siabani, Soraya, Silva, Diego Augusto Santos, Singh, Jasvinder A, Singh, Jitendra Kumar, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Sobaih, Badr Hasan, Stortecky, Stefan, Stranges, Saverio, Tadesse, Eyayou Girma, Tarigan, Ingan Ukur, Temsah, Mohamad-Hani, Teuschl, Yvonne, Thrift, Amanda G, Tonelli, Marcello, Tovani-Palone, Marcos Roberto, Tran, Bach Xuan, Tripathi, Manjari, Tsegaye, Gebiyaw Wudie, Ullah, Anayat, Unim, Brigid, Unnikrishnan, Bhaskaran, Vakilian, Alireza, Valadan Tahbaz, Sahel, Vasankari, Tommi Juhani, Venketasubramanian, Narayanaswamy, Vervoort, Dominique, Vo, Bay, Volovici, Victor, Vosoughi, Kia, Vu, Giang Thu, Vu, Linh Gia, Wafa, Hatem A, Waheed, Yasir, Wang, Yanzhong, Wijeratne, Tissa, Winkler, Andrea Sylvia, Wolfe, Charles D A, Woodward, Mark, Wu, Jason H, Wulf Hanson, Sarah, Xu, Xiaoyue, Yadav, Lalit, Yadollahpour, Ali, Yahyazadeh Jabbari, Seyed Hossein, Yamagishi, Kazumasa, Yatsuya, Hiroshi, Yonemoto, Naohiro, Yu, Chuanhua, Yunusa, Ismaeel, Zaman, Muhammed Shahriar, Zaman, Sojib Bin, Zamanian, Maryam, Zand, Ramin, Zandifar, Alireza, Zastrozhin, Mikhail Sergeevich, Zastrozhina, Anasthasia, Zhang, Yunquan, Zhang, Zhi-Jiang, Zhong, Chenwen, Zuniga, Yves Miel H, and Murray, Christopher J L

Published
2021
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111. Gender Comparison of Receipt of Government-Funded Health Services and Medication Prescriptions for the Management of Patients With Cardiovascular Disease in Primary Care

Author

Hafiz, Nashid, Hyun, Karice, Knight, Andrew, Hespe, Charlotte, Chow, Clara K., Briffa, Tom, Gallagher, Robyn, Reid, Christopher M., Hare, David L., Zwar, Nicholas, Woodward, Mark, Jan, Stephen, Atkins, Emily R., Laba, Tracey-Lea, Halcomb, Elizabeth, Usherwood, Timothy, and Redfern, Julie

Published
2021
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112. Age-stratified and blood-pressure-stratified effects of blood-pressure-lowering pharmacotherapy for the prevention of cardiovascular disease and death: an individual participant-level data meta-analysis

Author

Rahimi, Kazem, Bidel, Zeinab, Nazarzadeh, Milad, Copland, Emma, Canoy, Dexter, Wamil, Malgorzata, Majert, Jeannette, McManus, Richard, Adler, Amanda, Agodoa, Larry, Algra, Ale, Asselbergs, Folkert W, Beckett, Nigel S, Berge, Eivind, Black, Henry, Boersma, Eric, Brouwers, Frank P J, Brown, Morris, Brugts, Jasper J, Bulpitt, Christopher J, Byington, Robert P, Cushman, William C, Cutler, Jeffrey, Devereaux, Richard B, Dwyer, Jamie P, Estacio, Ray, Fagard, Robert, Fox, Kim, Fukui, Tsuguya, Gupta, Ajay K, Holman, Rury R, Imai, Yutaka, Ishii, Masao, Julius, Stevo, Kanno, Yoshihiko, Kjeldsen, Sverre E, Kostis, John, Kuramoto, Kizuku, Lanke, Jan, Lewis, Edmund, Lewis, Julia B, Lievre, Michel, Lindholm, Lars H, Lueders, Stephan, MacMahon, Stephen, Mancia, Giuseppe, Matsuzaki, Masunori, Mehlum, Maria H, Nissen, Steven, Ogawa, Hiroshi, Ogihara, Toshio, Ohkubo, Takayoshi, Palmer, Christopher R, Patel, Anushka, Pfeffer, Marc Allan, Pitt, Bertram, Poulter, Neil R, Rakugi, Hiromi, Reboldi, Gianpaolo, Reid, Christopher, Remuzzi, Giuseppe, Ruggenenti, Piero, Saruta, Takao, Schrader, Joachim, Schrier, Robert, Sever, Peter, Sleight, Peter, Staessen, Jan A, Suzuki, Hiromichi, Thijs, Lutgarde, Ueshima, Kenji, Umemoto, Seiji, van Gilst, Wiek H, Verdecchia, Paolo, Wachtell, Kristian, Whelton, Paul, Wing, Lindon, Woodward, Mark, Yui, Yoshiki, Yusuf, Salim, Zanchetti, Alberto, Zhang, Zhen-Yu, Anderson, Craig, Baigent, Colin, Brenner, Barry Morton, Collins, Rory, de Zeeuw, Dick, Lubsen, Jacobus, Malacco, Ettore, Neal, Bruce, Perkovic, Vlado, Rodgers, Anthony, Rothwell, Peter, Salimi-Khorshidi, Gholamreza, Sundström, Johan, Turnbull, Fiona, Viberti, Giancarlo, Wang, Jiguang, Chalmers, John, Davis, Barry R, Pepine, Carl J, and Teo, Koon K

Published
2021
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113. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants

Author

Zhou, Bin, Carrillo-Larco, Rodrigo M, Danaei, Goodarz, Riley, Leanne M, Paciorek, Christopher J, Stevens, Gretchen A, Gregg, Edward W, Bennett, James E, Solomon, Bethlehem, Singleton, Rosie K, Sophiea, Marisa K, Iurilli, Maria LC, Lhoste, Victor PF, Cowan, Melanie J, Savin, Stefan, Woodward, Mark, Balanova, Yulia, Cifkova, Renata, Damasceno, Albertino, Elliott, Paul, Farzadfar, Farshad, He, Jiang, Ikeda, Nayu, Kengne, Andre P, Khang, Young-Ho, Kim, Hyeon Chang, Laxmaiah, Avula, Lin, Hsien-Ho, Margozzini Maira, Paula, Miranda, J Jaime, Neuhauser, Hannelore, Sundström, Johan, Varghese, Cherian, Widyahening, Indah S, Zdrojewski, Tomasz, Abarca-Gómez, Leandra, Abdeen, Ziad A, Abdul Rahim, Hanan F, Abu-Rmeileh, Niveen M, Acosta-Cazares, Benjamin, Adams, Robert J, Aekplakorn, Wichai, Afsana, Kaosar, Afzal, Shoaib, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Aguilar-Salinas, Carlos A, Agyemang, Charles, Ahmad, Noor Ani, Ahmadi, Ali, Ahmadi, Naser, Ahmadi, Nastaran, Ahmadizar, Fariba, Ahmed, Soheir H, Ahrens, Wolfgang, Ajlouni, Kamel, Al-Raddadi, Rajaa, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Ali, Mohamed M, Alkandari, Abdullah, Alkerwi, Ala'a, Allin, Kristine, Aly, Eman, Amarapurkar, Deepak N, Amougou, Norbert, Amouyel, Philippe, Andersen, Lars Bo, Anderssen, Sigmund A, Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Ansong, Daniel, Aounallah-Skhiri, Hajer, Araújo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Aspelund, Thor, Assah, Felix K, Assunção, Maria Cecília F, Auvinen, Juha, Avdićová, Mária, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Azmin, Mehrdad, Babu, Bontha V, Bahijri, Suhad, Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Banadinović, Maja, Bandosz, Piotr, Banegas, José R, Baran, Joanna, Barbagallo, Carlo M, Barceló, Alberto, Barkat, Amina, Barreto, Marta, Barros, Aluisio JD, Barros, Mauro Virgílio Gomes, Bartosiewicz, Anna, Basit, Abdul, Bastos, Joao Luiz D, Bata, Iqbal, Batieha, Anwar M, Batyrbek, Assembekov, Baur, Louise A, Beaglehole, Robert, Belavendra, Antonisamy, Ben Romdhane, Habiba, Benet, Mikhail, Benson, Lowell S, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Bernotiene, Gailute, Bettiol, Heloísa, Bezerra, Jorge, Bhagyalaxmi, Aroor, Bhargava, Santosh K, Bia, Daniel, Biasch, Katia, Bika Lele, Elysée Claude, Bikbov, Mukharram M, Bista, Bihungum, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B, Björkelund, Cecilia, Bloch, Katia V, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boeing, Heiner, Boggia, Jose G, Boissonnet, Carlos P, Bojesen, Stig E, Bongard, Vanina, Bonilla-Vargas, Alice, Bopp, Matthias, Borghs, Herman, Bovet, Pascal, Boyer, Christopher B, Braeckman, Lutgart, Brajkovich, Imperia, Branca, Francesco, Breckenkamp, Juergen, Brenner, Hermann, Brewster, Lizzy M, Briceño, Yajaira, Brito, Miguel, Bruno, Graziella, Bueno-de-Mesquita, H Bas, Bueno, Gloria, Bugge, Anna, Burns, Con, Bursztyn, Michael, Cabrera de León, Antonio, Cacciottolo, Joseph, Cameron, Christine, Can, Günay, Cândido, Ana Paula C, Capanzana, Mario V, Čapková, Naděžda, Capuano, Eduardo, Capuano, Vincenzo, Cardoso, Viviane C, Carlsson, Axel C, Carvalho, Joana, Casanueva, Felipe F, Censi, Laura, Cervantes-Loaiza, Marvin, Chadjigeorgiou, Charalambos A, Chamukuttan, Snehalatha, Chan, Angelique W, Chan, Queenie, Chaturvedi, Himanshu K, Chaturvedi, Nish, Chee, Miao Li, Chen, Chien-Jen, Chen, Fangfang, Chen, Huashuai, Chen, Shuohua, Chen, Zhengming, Cheng, Ching-Yu, Cheraghian, Bahman, Cherkaoui Dekkaki, Imane, Chetrit, Angela, Chien, Kuo-Liong, Chiolero, Arnaud, Chiou, Shu-Ti, Chirita-Emandi, Adela, Chirlaque, María-Dolores, Cho, Belong, Christensen, Kaare, Christofaro, Diego G, Chudek, Jerzy, Cinteza, Eliza, Claessens, Frank, Clarke, Janine, Clays, Els, Cohen, Emmanuel, Concin, Hans, Cooper, Cyrus, Coppinger, Tara C, Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Craig, Cora L, Crampin, Amelia C, Crujeiras, Ana B, Cruz, Juan J, Csilla, Semánová, Cui, Liufu, Cureau, Felipe V, Cuschieri, Sarah, D'Arrigo, Graziella, d'Orsi, Eleonora, Dallongeville, Jean, Dankner, Rachel, Dantoft, Thomas M, Dauchet, Luc, Davletov, Kairat, De Backer, Guy, De Bacquer, Dirk, De Curtis, Amalia, de Gaetano, Giovanni, De Henauw, Stefaan, de Oliveira, Paula Duarte, De Ridder, David, De Smedt, Delphine, Deepa, Mohan, Deev, Alexander D, DeGennaro, Vincent Jr, Delisle, Hélène, Demarest, Stefaan, Dennison, Elaine, Deschamps, Valérie, Dhimal, Meghnath, Di Castelnuovo, Augusto F, Dias-da-Costa, Juvenal Soares, Diaz, Alejandro, Dickerson, Ty T, Dika, Zivka, Djalalinia, Shirin, Do, Ha TP, Dobson, Annette J, Donfrancesco, Chiara, Donoso, Silvana P, Döring, Angela, Dorobantu, Maria, Dörr, Marcus, Doua, Kouamelan, Dragano, Nico, Drygas, Wojciech, Duante, Charmaine A, Duboz, Priscilla, Duda, Rosemary B, Dulskiene, Virginija, Dushpanova, Anar, Džakula, Aleksandar, Dzerve, Vilnis, Dziankowska-Zaborszczyk, Elzbieta, Eddie, Ricky, Eftekhar, Ebrahim, Eggertsen, Robert, Eghtesad, Sareh, Eiben, Gabriele, Ekelund, Ulf, El-Khateeb, Mohammad, El Ati, Jalila, Eldemire-Shearer, Denise, Eliasen, Marie, Elosua, Roberto, Erasmus, Rajiv T, Erbel, Raimund, Erem, Cihangir, Eriksen, Louise, Eriksson, Johan G, Escobedo-de la Peña, Jorge, Eslami, Saeid, Esmaeili, Ali, Evans, Alun, Faeh, David, Fakhretdinova, Albina A, Fall, Caroline H, Faramarzi, Elnaz, Farjam, Mojtaba, Fattahi, Mohammad Reza, Fawwad, Asher, Felix-Redondo, Francisco J, Felix, Stephan B, Ferguson, Trevor S, Fernandes, Romulo A, Fernández-Bergés, Daniel, Ferrante, Daniel, Ferrao, Thomas, Ferrari, Marika, Ferrario, Marco M, Ferreccio, Catterina, Ferreira, Haroldo S, Ferrer, Eldridge, Ferrieres, Jean, Figueiró, Thamara Hubler, Fink, Günther, Fischer, Krista, Foo, Leng Huat, Forsner, Maria, Fouad, Heba M, Francis, Damian K, Franco, Maria do Carmo, Frikke-Schmidt, Ruth, Frontera, Guillermo, Fuchs, Flavio D, Fuchs, Sandra C, Fujita, Yuki, Fumihiko, Matsuda, Furdela, Viktoriya, Furer, Ariel, Furusawa, Takuro, Gaciong, Zbigniew, Galbarczyk, Andrzej, Galenkamp, Henrike, Galvano, Fabio, Gao, Jingli, Gao, Pei, Garcia-de-la-Hera, Manoli, Garcia, Pablo, Gareta, Dickman, Garnett, Sarah P, Gaspoz, Jean-Michel, Gasull, Magda, Gazzinelli, Andrea, Gehring, Ulrike, Geleijnse, Johanna M, George, Ronnie, Ghanbari, Ali, Ghasemi, Erfan, Gheorghe-Fronea, Oana-Florentina, Ghimire, Anup, Gialluisi, Alessandro, Giampaoli, Simona, Gieger, Christian, Gill, Tiffany K, Giovannelli, Jonathan, Gironella, Glen, Giwercman, Aleksander, Gkiouras, Konstantinos, Goldberg, Marcel, Goldsmith, Rebecca A, Gomez, Luis F, Gomula, Aleksandra, Gonçalves, Helen, Gonçalves, Mauer, Gonçalves Cordeiro da Silva, Bruna, Gonzalez-Chica, David A, Gonzalez-Gross, Marcela, González-Rivas, Juan P, González-Villalpando, Clicerio, González-Villalpando, María-Elena, Gonzalez, Angel R, Gorbea, Mariano Bonet, Gottrand, Frederic, Graff-Iversen, Sidsel, Grafnetter, Dušan, Grajda, Aneta, Grammatikopoulou, Maria G, Gregor, Ronald D, Grodzicki, Tomasz, Grosso, Giuseppe, Gruden, Gabriella, Gu, Dongfeng, Guan, Ong Peng, Gudmundsson, Elias F, Gudnason, Vilmundur, Guerrero, Ramiro, Guessous, Idris, Guimaraes, Andre L, Gulliford, Martin C, Gunnlaugsdottir, Johanna, Gunter, Marc J, Gupta, Prakash C, Gupta, Rajeev, Gureje, Oye, Gurzkowska, Beata, Gutierrez, Laura, Gutzwiller, Felix, Ha, Seongjun, Hadaegh, Farzad, Haghshenas, Rosa, Hakimi, Hamid, Halkjær, Jytte, Hambleton, Ian R, Hamzeh, Behrooz, Hange, Dominique, Hanif, Abu AM, Hantunen, Sari, Hao, Jie, Hardman, Carla Menêses, Hari Kumar, Rachakulla, Hashemi-Shahri, Seyed Mohammad, Hata, Jun, Haugsgjerd, Teresa, Hayes, Alison J, He, Yuna, Heier, Margit, Hendriks, Marleen Elisabeth, Henrique, Rafael dos Santos, Henriques, Ana, Hernandez Cadena, Leticia, Herqutanto, Herrala, Sauli, Heshmat, Ramin, Hill, Allan G, Ho, Sai Yin, Ho, Suzanne C, Hobbs, Michael, Holdsworth, Michelle, Homayounfar, Reza, Horasan Dinc, Gonul, Horimoto, Andrea RVR, Hormiga, Claudia M, Horta, Bernardo L, Houti, Leila, Howitt, Christina, Htay, Thein Thein, Htet, Aung Soe, Htike, Maung Maung Than, Hu, Yonghua, Huerta, José María, Huhtaniemi, Ilpo Tapani, Huiart, Laetitia, Huisman, Martijn, Husseini, Abdullatif S, Huybrechts, Inge, Hwalla, Nahla, Iacoviello, Licia, Iannone, Anna G, Ibrahim, Mohsen M, Ibrahim Wong, Norazizah, Ikram, M Arfan, Iotova, Violeta, Irazola, Vilma E, Ishida, Takafumi, Isiguzo, Godsent C, Islam, Muhammad, Islam, Sheikh Mohammed Shariful, Iwasaki, Masanori, Jackson, Rod T, Jacobs, Jeremy M, Jaddou, Hashem Y, Jafar, Tazeen, James, Kenneth, Jamrozik, Konrad, Janszky, Imre, Janus, Edward, Jarvelin, Marjo-Riitta, Jasienska, Grazyna, Jelaković, Ana, Jelaković, Bojan, Jennings, Garry, Jha, Anjani Kumar, Jiang, Chao Qiang, Jimenez, Ramon O, Jöckel, Karl-Heinz, Joffres, Michel, Johansson, Mattias, Jokelainen, Jari J, Jonas, Jost B, Jørgensen, Torben, Joshi, Pradeep, Joukar, Farahnaz, Jóżwiak, Jacek, Juolevi, Anne, Jurak, Gregor, Jureša, Vesna, Kaaks, Rudolf, 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Kromhout, Daan, Kruger, Herculina S, Kubinova, Ruzena, Kuciene, Renata, Kujala, Urho M, Kulaga, Zbigniew, Kumar, R Krishna, Kurjata, Pawel, Kusuma, Yadlapalli S, Kutsenko, Vladimir, Kuulasmaa, Kari, Kyobutungi, Catherine, Laatikainen, Tiina, Lachat, Carl, Laid, Youcef, Lam, Tai Hing, Landrove, Orlando, Lanska, Vera, Lappas, Georg, Larijani, Bagher, Latt, Tint Swe, Le Coroller, Gwenaëlle, Le Nguyen Bao, Khanh, Le, Tuyen D, Lee, Jeannette, Lee, Jeonghee, Lehmann, Nils, Lehtimäki, Terho, Lemogoum, Daniel, Levitt, Naomi S, Li, Yanping, Lilly, Christa L, Lim, Wei-Yen, Lima-Costa, M Fernanda, Lin, Xu, Lin, Yi-Ting, Lind, Lars, Lingam, Vijaya, Linneberg, Allan, Lissner, Lauren, Litwin, Mieczyslaw, Lo, Wei-Cheng, Loit, Helle-Mai, Lopez-Garcia, Esther, Lopez, Tania, Lotufo, Paulo A, Lozano, José Eugenio, Lukačević Lovrenčić, Iva, Lukrafka, Janice L, Luksiene, Dalia, Lundqvist, Annamari, Lundqvist, Robert, Lunet, Nuno, Lustigová, Michala, Luszczki, Edyta, Ma, Guansheng, Ma, Jun, Machado-Coelho, 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Houshang, Meirhaeghe, Aline, Meisinger, Christa, Mendoza Montano, Carlos, Menezes, Ana Maria B, Menon, Geetha R, Mereke, Alibek, Meshram, Indrapal I, Metspalu, Andres, Meyer, Haakon E, Mi, Jie, Michels, Nathalie, Mikkel, Kairit, Milkowska, Karolina, Miller, Jody C, Minderico, Cláudia S, Mini, GK, Mirjalili, Mohammad Reza, Mirrakhimov, Erkin, Mišigoj-Duraković, Marjeta, Modesti, Pietro A, Moghaddam, Sahar Saeedi, Mohajer, Bahram, Mohamed, Mostafa K, Mohamed, Shukri F, Mohammad, Kazem, Mohammadi, Mohammad Reza, Mohammadi, Zahra, Mohammadifard, Noushin, Mohammadpourhodki, Reza, Mohan, Viswanathan, Mohanna, Salim, Mohd Yusoff, Muhammad Fadhli, Mohebbi, Iraj, Mohebi, Farnam, Moitry, Marie, Møllehave, Line T, Molnár, Dénes, Momenan, Amirabbas, Mondo, Charles K, Monterrubio-Flores, Eric, Monyeki, Kotsedi Daniel K, Moon, Jin Soo, Moosazadeh, Mahmood, Moreira, Leila B, Morejon, Alain, Moreno, Luis A, Morgan, Karen, Moschonis, George, Mossakowska, Malgorzata, Mostafa, Aya, Mostafavi, Seyed-Ali, 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Charles, Soumaré, Aïcha, Sparboe-Nilsen, Bente, Sparrenberger, Karen, Staessen, Jan A, Starc, Gregor, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D, Stergiou, George S, Stessman, Jochanan, Stieber, Jutta, Stöckl, Doris, Stocks, Tanja, Stokwiszewski, Jakub, Stronks, Karien, Strufaldi, Maria Wany, Suka, Machi, Sun, Chien-An, Sung, Yn-Tz, Suriyawongpaisal, Paibul, Sy, Rody G, Syddall, Holly E, Sylva, René Charles, Szklo, Moyses, Tai, E Shyong, Tammesoo, Mari-Liis, Tamosiunas, Abdonas, Tan, Eng Joo, Tang, Xun, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarqui-Mamani, Carolina B, Taylor, Anne, Taylor, Julie, Tebar, William R, Tell, Grethe S, Tello, Tania, Tham, Yih Chung, Thankappan, KR, Theobald, Holger, Theodoridis, Xenophon, Thijs, Lutgarde, Thinggaard, Mikael, Thomas, Nihal, Thorand, Barbara, Thuesen, Betina H, Timmermans, Erik J, Tjandrarini, Dwi H, Tjonneland, Anne, Toft, Ulla, Tolonen, Hanna K, Tolstrup, Janne S, Topbas, Murat, Topór-Madry, Roman, Tormo, María José, Tornaritis, Michael J, Torrent, Maties, Torres-Collado, Laura, Touloumi, Giota, Traissac, Pierre, Triantafyllou, Areti, Trichopoulos, Dimitrios, Trichopoulou, Antonia, Trinh, Oanh TH, Trivedi, Atul, Tshepo, Lechaba, Tsugane, Shoichiro, Tuliakova, Azaliia M, Tulloch-Reid, Marshall K, Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Turley, Maria L, Twig, Gilad, Tynelius, Per, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice, Ulmer, Hanno, Uusitalo, Hannu MT, Valdivia, Gonzalo, Valvi, Damaskini, van Dam, Rob M, van den Born, Bert-Jan, Van der Heyden, Johan, van der Schouw, Yvonne T, Van Herck, Koen, Van Minh, Hoang, Van Schoor, Natasja M, van Valkengoed, Irene GM, van Zutphen, Elisabeth M, Vanderschueren, Dirk, Vanuzzo, Diego, Varbo, Anette, Vasan, Senthil K, Vega, Tomas, Veidebaum, Toomas, Velasquez-Melendez, Gustavo, Veronesi, Giovanni, Verschuren, WM Monique, Verstraeten, Roosmarijn, Victora, Cesar G, Viet, Lucie, Villalpando, Salvador, Vineis, Paolo, Vioque, Jesus, Virtanen, Jyrki K, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vlasoff, Tiina, Vollenweider, Peter, Voutilainen, Ari, Wade, Alisha N, Walton, Janette, Wambiya, Elvis OA, Wan Bebakar, Wan Mohamad, Wan Mohamud, Wan Nazaimoon, Wanderley Júnior, Rildo de Souza, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nicholas, Wei, Wenbin, Weres, Aneta, Werner, Bo, Whincup, Peter H, Widhalm, Kurt, Wiecek, Andrzej, Wilks, Rainford J, Willeit, Johann, Willeit, Peter, Williams, Emmanuel A, Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A, Wong, Andrew, Wong, Tien Yin, Woo, Jean, Wu, Frederick C, Wu, Shouling, Wyszynska, Justyna, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yasuharu, Tabara, Ye, Xingwang, Yiallouros, Panayiotis K, Yoosefi, Moein, Yoshihara, Akihiro, You, San-Lin, Younger-Coleman, Novie O, Yusoff, Ahmad Faudzi, Zainuddin, Ahmad A, Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Zapata, Maria Elisa, Zaw, Ko Ko, Zejglicova, Kristyna, Zeljkovic Vrkic, Tajana, Zeng, Yi, Zhang, Luxia, Zhang, Zhen-Yu, Zhao, Dong, Zhao, Ming-Hui, Zhen, Shiqi, Zheng, Yingfeng, Zholdin, Bekbolat, Zhu, Dan, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Zoghlami, Nada, Zuñiga Cisneros, Julio, and Ezzati, Majid

Published
2021
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114. Atherosclerotic Cardiovascular Disease Events in Adults With CKD Taking a Moderate- or High-Intensity Statin: The Chronic Renal Insufficiency Cohort (CRIC) Study

Author

Poudel, Bharat, Rosenson, Robert S., Bittner, Vera, Gutiérrez, Orlando M., Anderson, Amanda H., Woodward, Mark, Deo, Rajat, Carson, April P., Mues, Katherine E., Dluzniewski, Paul J., Jaar, Bernard G., Lora, Claudia M., Taliercio, Jonathan, Muntner, Paul, and Colantonio, Lisandro D.

Published
2021
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117. Multiple Cardiac Biomarkers to Improve Prediction of Cardiovascular Events: Findings from the Generation Scotland Scottish Family Health Study

Author

Welsh, Paul, primary, Kimenai, Dorien M, additional, Shah, Anoop S V, additional, Gadd, Danni A, additional, Marioni, Riccardo E, additional, Woodward, Mark, additional, Sudlow, Cathie L M, additional, Campbell, Archie, additional, Cleland, John G F, additional, Pellicori, Pierpaolo, additional, Hayward, Caroline, additional, Mills, Nicholas L, additional, and Sattar, Naveed, additional

Published
2023
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123. Antihypertensive treatment and risk of cancer: an individual participant data meta-analysis

Author

Adler, A, Agodoa, L, Algra, A, Asselbergs, F W, Beckett, N, Berge, E, Black, H, Brouwers, F P J, Brown, M, Bulpitt, C J, Byington, B, Chalmers, J, Cushman, W C, Cutler, J, Davis, B R, Devereaux, R B, Dwyer, J, Estacio, R, Fagard, R, Fox, K, Fukui, T, Gupta, A K, Holman, R R, Imai, Y, Ishii, M, Julius, S, Kanno, Y, Kjeldsen, S E, Kostis, J, Kuramoto, K, Lanke, J, Lewis, E, Lewis, J, Lievre, M, Lindholm, L H, Lueders, S, MacMahon, S, Mancia, G, Matsuzaki, M, Mehlum, M H, Nissen, S, Ogawa, H, Ogihara, T, Ohkubo, T, Palmer, C, Patel, A, Pepine, C J, Pfeffer, M, Poulter, N R, Rakugi, H, Reboldi, G, Reid, C, Remuzzi, G, Ruggenenti, P, Saruta, T, Schrader, J, Schrier, R, Sever, P, Sleight, P, Staessen, J A, Suzuki, H, Thijs, L, Ueshima, K, Umemoto, S, van Gilst, W H, Verdecchia, P, Wachtell, K, Whelton, P, Wing, L, Woodward, M, Yui, Y, Yusuf, S, Zanchetti, A, Zhang, Z Y, Anderson, C, Baigent, C, Brenner, BM, Collins, R, de Zeeuw, D, Lubsen, J, Malacco, E, Neal, B, Perkovic, V, Pitt, B, Rodgers, A, Rothwell, P, Salimi-Khorshidi, G, Sundström, J, Turnbull, F, Viberti, G, Wang, J, Copland, Emma, Canoy, Dexter, Nazarzadeh, Milad, Bidel, Zeinab, Ramakrishnan, Rema, Woodward, Mark, Chalmers, John, Teo, Koon K, Pepine, Carl J, Davis, Barry R, Kjeldsen, Sverre, Sundström, Johan, and Rahimi, Kazem

Published
2021
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124. Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline

Author

Alizadeh, Behrooz Z., Boezen, H. Marike, Franke, Lude, van der Harst, Pim, Navis, Gerjan, Rots, Marianne, Snieder, Harold, Swertz, Morris, Wolffenbuttel, Bruce H.R., Wijmenga, Cisca, Abecasis, Goncalo, Baras, Aris, Cantor, Michael, Coppola, Giovanni, Economides, Aris, Lotta, Luca A., Overton, John D., Reid, Jeffrey G., Shuldiner, Alan, Beechert, Christina, Forsythe, Caitlin, Fuller, Erin D., Gu, Zhenhua, Lattari, Michael, Lopez, Alexander, Schleicher, Thomas D., Padilla, Maria Sotiropoulos, Toledo, Karina, Widom, Louis, Wolf, Sarah E., Pradhan, Manasi, Manoochehri, Kia, Ulloa, Ricardo H., Bai, Xiaodong, Balasubramanian, Suganthi, Barnard, Leland, Blumenfeld, Andrew, Eom, Gisu, Habegger, Lukas, Hawes, Alicia, Khalid, Shareef, Maxwell, Evan K., Salerno, William, Staples, Jeffrey C., Jones, Marcus B., Mitnaul, Lyndon J., Gorski, Mathias, Jung, Bettina, Li, Yong, Matias-Garcia, Pamela R., Wuttke, Matthias, Coassin, Stefan, Thio, Chris H.L., Kleber, Marcus E., Winkler, Thomas W., Wanner, Veronika, Chai, Jin-Fang, Chu, Audrey Y., Cocca, Massimiliano, Feitosa, Mary F., Ghasemi, Sahar, Hoppmann, Anselm, Horn, Katrin, Li, Man, Nutile, Teresa, Scholz, Markus, Sieber, Karsten B., Teumer, Alexander, Tin, Adrienne, Wang, Judy, Tayo, Bamidele O., Ahluwalia, Tarunveer S., Almgren, Peter, Bakker, Stephan J.L., Banas, Bernhard, Bansal, Nisha, Biggs, Mary L., Boerwinkle, Eric, Bottinger, Erwin P., Brenner, Hermann, Carroll, Robert J., Chalmers, John, Chee, Miao-Li, Chee, Miao-Ling, Cheng, Ching-Yu, Coresh, Josef, de Borst, Martin H., Degenhardt, Frauke, Eckardt, Kai-Uwe, Endlich, Karlhans, Franke, Andre, Freitag-Wolf, Sandra, Gampawar, Piyush, Gansevoort, Ron T., Ghanbari, Mohsen, Gieger, Christian, Hamet, Pavel, Ho, Kevin, Hofer, Edith, Holleczek, Bernd, Xian Foo, Valencia Hui, Hutri-Kähönen, Nina, Hwang, Shih-Jen, Ikram, M. Arfan, Josyula, Navya Shilpa, Kähönen, Mika, Khor, Chiea-Chuen, Koenig, Wolfgang, Kramer, Holly, Krämer, Bernhard K., Kühnel, Brigitte, Lange, Leslie A., Lehtimäki, Terho, Lieb, Wolfgang, Loos, Ruth J.F., Lukas, Mary Ann, Lyytikäinen, Leo-Pekka, Meisinger, Christa, Meitinger, Thomas, Melander, Olle, Milaneschi, Yuri, Mishra, Pashupati P., Mononen, Nina, Mychaleckyj, Josyf C., Nadkarni, Girish N., Nauck, Matthias, Nikus, Kjell, Ning, Boting, Nolte, Ilja M., O’Donoghue, Michelle L., Orho-Melander, Marju, Pendergrass, Sarah A., Penninx, Brenda W.J.H., Preuss, Michael H., Psaty, Bruce M., Raffield, Laura M., Raitakari, Olli T., Rettig, Rainer, Rheinberger, Myriam, Rice, Kenneth M., Rosenkranz, Alexander R., Rossing, Peter, Rotter, Jerome I., Sabanayagam, Charumathi, Schmidt, Helena, Schmidt, Reinhold, Schöttker, Ben, Schulz, Christina-Alexandra, Sedaghat, Sanaz, Shaffer, Christian M., Strauch, Konstantin, Szymczak, Silke, Taylor, Kent D., Tremblay, Johanne, Chaker, Layal, van der Most, Peter J., Verweij, Niek, Völker, Uwe, Waldenberger, Melanie, Wallentin, Lars, Waterworth, Dawn M., White, Harvey D., Wilson, James G., Wong, Tien-Yin, Woodward, Mark, Yang, Qiong, Yasuda, Masayuki, Yerges-Armstrong, Laura M., Zhang, Yan, Wanner, Christoph, Böger, Carsten A., Köttgen, Anna, Kronenberg, Florian, Pattaro, Cristian, and Heid, Iris M.

Published
2021
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130. Incorporating kidney disease measures into cardiovascular risk prediction: Development and validation in 9 million adults from 72 datasets

Author

Matsushita, Kunihiro, Jassal, Simerjot K, Sang, Yingying, Ballew, Shoshana H, Grams, Morgan E, Surapaneni, Aditya, Arnlov, Johan, Bansal, Nisha, Bozic, Milica, Brenner, Hermann, Brunskill, Nigel J, Chang, Alex R, Chinnadurai, Rajkumar, Cirillo, Massimo, Correa, Adolfo, Ebert, Natalie, Eckardt, Kai-Uwe, Gansevoort, Ron T, Gutierrez, Orlando, Hadaegh, Farzad, He, Jiang, Hwang, Shih-Jen, Jafar, Tazeen H, Kayama, Takamasa, Kovesdy, Csaba P, Landman, Gijs W, Levey, Andrew S, Lloyd-Jones, Donald M, Major, Rupert W., Miura, Katsuyuki, Muntner, Paul, Nadkarni, Girish N, Naimark, David MJ, Nowak, Christoph, Ohkubo, Takayoshi, Pena, Michelle J, Polkinghorne, Kevan R, Sabanayagam, Charumathi, Sairenchi, Toshimi, Schneider, Markus P, Shalev, Varda, Shlipak, Michael, Solbu, Marit D, Stempniewicz, Nikita, Tollitt, James, Valdivielso, José M, van der Leeuw, Joep, Wang, Angela Yee-Moon, Wen, Chi-Pang, Woodward, Mark, Yamagishi, Kazumasa, Yatsuya, Hiroshi, Zhang, Luxia, Schaeffner, Elke, and Coresh, Josef

Published
2020
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132. Haptoglobin Phenotype and Intensive Glycemic Control for Coronary Artery Disease Risk Reduction in People With Type 2 Diabetes: The ADVANCE Study.

Author

Cahill, Leah E., Warren, Rachel A., Carew, Allie S., Levy, Andrew P., Sapp, John, Samuel, Michelle, Selvin, Elizabeth, Lavallée, Samantha K., Poulter, Neil, Marre, Michel, Harrap, Stephen, Mancia, Giuseppe, Harris, Katie, Chalmers, John, Woodward, Mark, and Rimm, Eric B.

Subjects
GLYCEMIC control, TYPE 2 diabetes, CORONARY artery disease, CARDIOVASCULAR diseases, PHENOTYPES, AT-risk people
Abstract

OBJECTIVE: Intensive glycemic control reduced coronary artery disease (CAD) events among the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study participants with the haptoglobin (Hp)2-2 phenotype but not in participants without the Hp2-2 phenotype. It is unknown whether and how these results translate across different demographic/clinical characteristics and treatment strategies. RESEARCH DESIGN AND METHODS: Haptoglobin phenotype was measured in available samples from the Action in Diabetes and Vascular Disease: Preterax and Diamicron MR Controlled Evaluation (ADVANCE) biomarker case-cohort study. Weighted multivariable-adjusted Cox regression models were used to evaluate the association between intensive glycemic control (HbA1c target of ≤6.5%) versus standard therapy (based on local guidelines) and major CAD events among participants with (n = 1,327) and without (n = 2,077) the Hp2-2 phenotype separately and within prespecified stratifications by sex, race, previous cardiovascular disease (CVD), diabetes duration, and HDL-cholesterol. RESULTS: While the hazard ratios (HRs) were in the hypothesized differing directions, compared with standard therapy, intensive glycemic control was not significantly associated with risk of CAD events among participants without (1.04, 95% CI 0.82–1.32) or with (0.84, 0.63–1.14, P interaction = 0.27) the Hp2-2 phenotype overall. Intensive therapy was associated with lower CAD risk among participants with the Hp2-2 phenotype who had no previous CVD (0.47, 0.29–0.76, P interaction = 0.01). CONCLUSIONS: Our findings suggest that intensive glycemic control contributes to the prevention of major CAD events among ADVANCE participants with the Hp2-2 phenotype and no previous CVD and are in alignment with our hypothesis that intensive glycemic control may be beneficial in a subset of people with the Hp2-2 phenotype. [ABSTRACT FROM AUTHOR]

Published
2024
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133. Smoking as a risk factor for lower extremity peripheral artery disease in women compared to men: A systematic review and meta-analysis.

Author

Xu, Ying, Pouncey, Anna Louise, Zhou, Zien, Woodward, Mark, and Harris, Katie

Subjects
SMOKING statistics, PERIPHERAL vascular diseases, ODDS ratio, CROSS-sectional method, SMOKING, CINAHL database
Abstract

Background: To investigate whether the relationship between smoking and peripheral artery disease (PAD) differs by sex (PROSPERO CRD42022352318). Methods: PubMed, EMBASE, and CINAHL were searched (3 March 2024) for studies reporting associations between smoking and PAD in both sexes, at least adjusted for age. Data were pooled using random effects. Between-study heterogeneity was examined using I2 statistic and Cochran's Q test. Newcastle-Ottowa Scale was adopted for quality assessment. Results: Four cohort studies (n = 2,117,860, 54.4% women) and thirteen cross-sectional studies (n = 230,436, 59.9% women) were included. In cohort studies, former and current smokers had higher risk of PAD than never smokers. Compared to those who never or previously smoked, women current smokers (relative risk (RR) 5.30 (95% confidence interval 3.17, 8.87)) had higher excess risk of PAD than men (RR 3.30 (2.46, 4.42)), women-to-men ratio of RR 1.45 (1.30, 1.62)(I2 = 0%, p = 0.328). In cross-sectional studies, risk of PAD was higher among former and current compared to never smokers, more so in men, women-to-men ratios of odds ratio: 0.64 (0.46, 0.90)(I2 = 30%, p = 0.192), 0.63 (0.50, 0.79)(I2 = 0%, p = 0.594), respectively. For both sexes, risk of PAD was higher among current smokers compared to those who were not currently smoking. Cohort studies and five cross-sectional studies were of good quality, scoring 6 to 8 of a possible maximum 9 points. Eight cross-sectional studies scored 2 to 5. Discussions: Further research is required to elucidate sex differences in the relationships between smoking and PAD, as the current evidence is limited and mixed. Tobacco-control programs should consider both sexes. [ABSTRACT FROM AUTHOR]

Published
2024
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142. Associations of Early Systolic Blood Pressure Control and Outcome After Thrombolysis-Eligible Acute Ischemic Stroke: Results From the ENCHANTED Study

Author

Wang, Xia, Minhas, Jatinder S., Moullaali, Tom J., Luca Di Tanna, Gian, Lindley, Richard I., Chen, Xiaoying, Arima, Hisatomi, Chen, Guofang, Delcourt, Candice, Bath, Philip M., Broderick, Joseph P., Demchuk, Andrew M., Donnan, Geoffrey A., Durham, Alice C., Lavados, Pablo M., Lee, Tsong-Hai, Levi, Christopher, Martins, Sheila O., Olavarria, Veronica V., Pandian, Jeyaraj D., Parsons, Mark W., Pontes-Neto, Octavio M., Ricci, Stefano, Sato, Shoichiro, Sharma, Vijay K., Silva, Federico, Thang, Nguyen H., Wang, Ji-Guang, Woodward, Mark, Chalmers, John, Song, Lili, Anderson, Craig S., and Robinson, Thompson G.

Published
2022
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143. Past Decline Versus Current eGFR and Subsequent Mortality Risk

Author

Naimark, David MJ, Grams, Morgan E, Matsushita, Kunihiro, Black, Corri, Drion, Iefke, Fox, Caroline S, Inker, Lesley A, Ishani, Areef, Jee, Sun Ha, Kitamura, Akihiko, Lea, Janice P, Nally, Joseph, Peralta, Carmen Alicia, Rothenbacher, Dietrich, Ryu, Seungho, Tonelli, Marcello, Yatsuya, Hiroshi, Coresh, Josef, Gansevoort, Ron T, Warnock, David G, Woodward, Mark, and de Jong, Paul E

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Kidney Disease, Clinical Research, Prevention, Renal and urogenital, Good Health and Well Being, Aged, Cause of Death, Female, Glomerular Filtration Rate, Humans, Male, Middle Aged, Proportional Hazards Models, Renal Insufficiency, Chronic, Risk Factors, Time Factors, CKD Prognosis Consortium, chronic kidney disease, epidemiology, glomerular filtration rate, mortality, outcomes, Urology & Nephrology, Clinical sciences
Abstract

A single determination of eGFR associates with subsequent mortality risk. Prior decline in eGFR indicates loss of kidney function, but the relationship to mortality risk is uncertain. We conducted an individual-level meta-analysis of the risk of mortality associated with antecedent eGFR slope, adjusting for established risk factors, including last eGFR, among 1.2 million subjects from 12 CKD and 22 other cohorts within the CKD Prognosis Consortium. Over a 3-year antecedent period, 12% of participants in the CKD cohorts and 11% in the other cohorts had an eGFR slope 5 ml/min per 1.73 m(2) per year, respectively. Compared with a slope of 0 ml/min per 1.73 m(2) per year, a slope of -6 ml/min per 1.73 m(2) per year associated with adjusted hazard ratios for all-cause mortality of 1.25 (95% confidence interval [95% CI], 1.09 to 1.44) among CKD cohorts and 1.15 (95% CI, 1.01 to 1.31) among other cohorts during a follow-up of 3.2 years. A slope of +6 ml/min per 1.73 m(2) per year also associated with higher all-cause mortality risk, with adjusted hazard ratios of 1.58 (95% CI, 1.29 to 1.95) among CKD cohorts and 1.43 (95% CI, 1.11 to 1.84) among other cohorts. Results were similar for cardiovascular and noncardiovascular causes of death and stronger for longer antecedent periods (3 versus

Published
2016

144. Past Decline Versus Current eGFR and Subsequent ESRD Risk

Author

Kovesdy, Csaba P, Coresh, Josef, Ballew, Shoshana H, Woodward, Mark, Levin, Adeera, Naimark, David MJ, Nally, Joseph, Rothenbacher, Dietrich, Stengel, Benedicte, Iseki, Kunitoshi, Matsushita, Kunihiro, and Levey, Andrew S

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Kidney Disease, Clinical Research, Disease Progression, Glomerular Filtration Rate, Humans, Kidney Failure, Chronic, Proportional Hazards Models, Risk Factors, Time Factors, CKD Prognosis Consortium, end-stage renal disease, epidemiology and outcomes, glomerular filtration rate, progression of chronic renal failure, Urology & Nephrology, Clinical sciences
Abstract

eGFR is a robust predictor of ESRD risk. However, the prognostic information gained from the past trajectory (slope) beyond that of the current eGFR is unclear. We examined 22 cohorts to determine the association of past slopes and current eGFR level with subsequent ESRD. We modeled hazard ratios as a spline function of slopes, adjusting for demographic variables, eGFR, and comorbidities. We used random effects meta-analyses to combine results across studies stratified by cohort type. We calculated the absolute risk of ESRD at 5 years after the last eGFR using the weighted average baseline risk. Overall, 1,080,223 participants experienced 5163 ESRD events during a mean follow-up of 2.0 years. In CKD cohorts, a slope of -6 versus 0 ml/min per 1.73 m(2) per year over the previous 3 years (a decline of 18 ml/min per 1.73 m(2) versus no decline) associated with an adjusted hazard ratio of ESRD of 2.28 (95% confidence interval, 1.88 to 2.76). In contrast, a current eGFR of 30 versus 50 ml/min per 1.73 m(2) (a difference of 20 ml/min per 1.73 m(2)) associated with an adjusted hazard ratio of 19.9 (95% confidence interval, 13.6 to 29.1). Past decline contributed more to the absolute risk of ESRD at lower than higher levels of current eGFR. In conclusion, during a follow-up of 2 years, current eGFR associates more strongly with future ESRD risk than the magnitude of past eGFR decline, but both contribute substantially to the risk of ESRD, especially at eGFR

Published
2016

145. Type 2 Diabetes as a Risk Factor for Dementia in Women Compared With Men: A Pooled Analysis of 2.3 Million People Comprising More Than 100,000 Cases of Dementia.

Author

Chatterjee, Saion, Peters, Sanne AE, Woodward, Mark, Mejia Arango, Silvia, Batty, G David, Beckett, Nigel, Beiser, Alexa, Borenstein, Amy R, Crane, Paul K, Haan, Mary, Hassing, Linda B, Hayden, Kathleen M, Kiyohara, Yutaka, Larson, Eric B, Li, Chung-Yi, Ninomiya, Toshiharu, Ohara, Tomoyuki, Peters, Ruth, Russ, Tom C, Seshadri, Sudha, Strand, Bjørn H, Walker, Rod, Xu, Weili, and Huxley, Rachel R

Subjects
Humans, Dementia, Vascular, Dementia, Diabetes Mellitus, Type 2, Risk Factors, Prospective Studies, Sex Factors, Aged, Aged, 80 and over, Middle Aged, Female, Male, Vascular, Diabetes Mellitus, Type 2, and over, Endocrinology & Metabolism, Medical and Health Sciences
Abstract

ObjectiveType 2 diabetes confers a greater excess risk of cardiovascular disease in women than in men. Diabetes is also a risk factor for dementia, but whether the association is similar in women and men remains unknown. We performed a meta-analysis of unpublished data to estimate the sex-specific relationship between women and men with diabetes with incident dementia.Research design and methodsA systematic search identified studies published prior to November 2014 that had reported on the prospective association between diabetes and dementia. Study authors contributed unpublished sex-specific relative risks (RRs) and 95% CIs on the association between diabetes and all dementia and its subtypes. Sex-specific RRs and the women-to-men ratio of RRs (RRRs) were pooled using random-effects meta-analyses.ResultsStudy-level data from 14 studies, 2,310,330 individuals, and 102,174 dementia case patients were included. In multiple-adjusted analyses, diabetes was associated with a 60% increased risk of any dementia in both sexes (women: pooled RR 1.62 [95% CI 1.45-1.80]; men: pooled RR 1.58 [95% CI 1.38-1.81]). The diabetes-associated RRs for vascular dementia were 2.34 (95% CI 1.86-2.94) in women and 1.73 (95% CI 1.61-1.85) in men, and for nonvascular dementia, the RRs were 1.53 (95% CI 1.35-1.73) in women and 1.49 (95% CI 1.31-1.69) in men. Overall, women with diabetes had a 19% greater risk for the development of vascular dementia than men (multiple-adjusted RRR 1.19 [95% CI 1.08-1.30]; P < 0.001).ConclusionsIndividuals with type 2 diabetes are at ∼60% greater risk for the development of dementia compared with those without diabetes. For vascular dementia, but not for nonvascular dementia, the additional risk is greater in women.

Published
2016

146. Multinational Assessment of Accuracy of Equations for Predicting Risk of Kidney Failure: A Meta-analysis

Author

Tangri, Navdeep, Grams, Morgan E, Levey, Andrew S, Coresh, Josef, Appel, Lawrence J, Astor, Brad C, Chodick, Gabriel, Collins, Allan J, Djurdjev, Ognjenka, Elley, C Raina, Evans, Marie, Garg, Amit X, Hallan, Stein I, Inker, Lesley A, Ito, Sadayoshi, Jee, Sun Ha, Kovesdy, Csaba P, Kronenberg, Florian, Heerspink, Hiddo JL, Marks, Angharad, Nadkarni, Girish N, Navaneethan, Sankar D, Nelson, Robert G, Titze, Stephanie, Sarnak, Mark J, Stengel, Benedicte, Woodward, Mark, and Iseki, Kunitoshi

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Clinical Research, Prevention, Kidney Disease, Renal and urogenital, Cohort Studies, Disease Progression, Humans, Prognosis, Proportional Hazards Models, Renal Insufficiency, Renal Insufficiency, Chronic, Risk Assessment, CKD Prognosis Consortium, Medical and Health Sciences, General & Internal Medicine, Biomedical and clinical sciences, Health sciences
Abstract

ImportanceIdentifying patients at risk of chronic kidney disease (CKD) progression may facilitate more optimal nephrology care. Kidney failure risk equations, including such factors as age, sex, estimated glomerular filtration rate, and calcium and phosphate concentrations, were previously developed and validated in 2 Canadian cohorts. Validation in other regions and in CKD populations not under the care of a nephrologist is needed.ObjectiveTo evaluate the accuracy of the risk equations across different geographic regions and patient populations through individual participant data meta-analysis.Data sourcesThirty-one cohorts, including 721,357 participants with CKD stages 3 to 5 in more than 30 countries spanning 4 continents, were studied. These cohorts collected data from 1982 through 2014.Study selectionCohorts participating in the CKD Prognosis Consortium with data on end-stage renal disease.Data extraction and synthesisData were obtained and statistical analyses were performed between July 2012 and June 2015. Using the risk factors from the original risk equations, cohort-specific hazard ratios were estimated and combined using random-effects meta-analysis to form new pooled kidney failure risk equations. Original and pooled kidney failure risk equation performance was compared, and the need for regional calibration factors was assessed.Main outcomes and measuresKidney failure (treatment by dialysis or kidney transplant).ResultsDuring a median follow-up of 4 years of 721,357 participants with CKD, 23,829 cases kidney failure were observed. The original risk equations achieved excellent discrimination (ability to differentiate those who developed kidney failure from those who did not) across all cohorts (overall C statistic, 0.90; 95% CI, 0.89-0.92 at 2 years; C statistic at 5 years, 0.88; 95% CI, 0.86-0.90); discrimination in subgroups by age, race, and diabetes status was similar. There was no improvement with the pooled equations. Calibration (the difference between observed and predicted risk) was adequate in North American cohorts, but the original risk equations overestimated risk in some non-North American cohorts. Addition of a calibration factor that lowered the baseline risk by 32.9% at 2 years and 16.5% at 5 years improved the calibration in 12 of 15 and 10 of 13 non-North American cohorts at 2 and 5 years, respectively (P = .04 and P = .02).Conclusions and relevanceKidney failure risk equations developed in a Canadian population showed high discrimination and adequate calibration when validated in 31 multinational cohorts. However, in some regions the addition of a calibration factor may be necessary.

Published
2016

147. Regional and temporal differences in the associations between cardiovascular disease and its classic risk factors: an analysis of 49 cohorts from 11 European countries

Author

Reinikainen, Jaakko, primary, Kuulasmaa, Kari, additional, Oskarsson, Viktor, additional, Amouyel, Philippe, additional, Biasch, Katia, additional, Brenner, Hermann, additional, De Ponti, Roberto, additional, Donfrancesco, Chiara, additional, Drygas, Wojciech, additional, Ferrieres, Jean, additional, Grassi, Guido, additional, Grimsgaard, Sameline, additional, Iacoviello, Licia, additional, Jousilahti, Pekka, additional, Kårhus, Line L, additional, Kee, Frank, additional, Linneberg, Allan, additional, Luksiene, Dalia, additional, Mariño, Joany, additional, Moitry, Marie, additional, Palmieri, Luigi, additional, Peters, Annette, additional, Piwonska, Aleksandra, additional, Quarti-Trevano, Fosca, additional, Salomaa, Veikko, additional, Sans, Susana, additional, Schmidt, Carsten Oliver, additional, Schöttker, Ben, additional, Söderberg, Stefan, additional, Tamosiunas, Abdonas, additional, Thorand, Barbara, additional, Tunstall-Pedoe, Hugh, additional, Vanuzzo, Diego, additional, Veronesi, Giovanni, additional, Woodward, Mark, additional, Lekadir, Karim, additional, and Niiranen, Teemu, additional

Published
2023
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148. The prevalence of chronic kidney disease in Australian primary care: analysis of a national general practice dataset

Author

Jun, Min, primary, Wick, James, additional, Neuen, Brendon L., additional, Kotwal, Sradha, additional, Badve, Sunil V., additional, Woodward, Mark, additional, Chalmers, John, additional, Peiris, David, additional, Rodgers, Anthony, additional, Nallaiah, Kellie, additional, Jardine, Meg J., additional, Perkovic, Vlado, additional, Gallagher, Martin, additional, and Ronksley, Paul E., additional

Published
2023
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