27 results on '"Gomez-Arbelaez D"'
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2. Fruit, vegetable, and legume intake, and cardiovascular disease and deaths in 18 countries (PURE): a prospective cohort study
- Author
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Diaz, R, Orlandini, A, Linetsky, B, Toscanelli, S, Casaccia, G, Cuneo, JM Maini, Rahman, O, Yusuf, R, Azad, AK, Rabbani, KA, Cherry, HM, Mannan, A, Hassan, I, Talukdar, AT, Tooheen, RB, Khan, MU, Sintaha, M, Choudhury, T, Haque, R, Parvin, S, Avezum, A, Oliveira, GB, Marcilio, CS, Mattos, AC, Teo, K, Yusuf, S, Dejesus, J, Agapay, D, Tongana, T, Solano, R, Kay, I, Trottier, S, Rimac, J, Elsheikh, W, Heldman, L, Ramezani, E, Dagenais, G, Poirier, P, Turbide, G, Auger, D, De Bluts, A LeBlanc, Proulx, MC, Cayer, M, Bonneville, N, Lear, S, Gasevic, D, Corber, E, de Jong, V, Vukmirovich, I, Wielgosz, A, Fodor, G, Pipe, A, Shane, A, Lanas, F, Seron, P, Martinez, S, Valdebenito, A, Oliveros, M, Wei, Li, Lisheng, Liu, Chunming, Chen, Xingyu, Wang, Wenhua, Zhao, Hongye, Zhang, Xuan, Jia, Bo, Hu, Yi, Sun, Jian, Bo, Xiuwen, Zhao, Xiaohong, Chang, Tao, Chen, Hui, Chen, Qing, Deng, Xiaoru, Cheng, Xinye, He, Jian, Li, Juan, Li, Xu, Liu, Bing, Ren, Wei, Wang, Yang, Wang, Jun, Yang, Yi, Zhai, Manlu, Zhu, Fanghong, Lu, Jianfang, Wu, Yindong, Li, Yan, Hou, Liangqing, Zhang, Baoxia, Guo, Xiaoyang, Liao, Shiying, Zhang, Rongwen, Bian, Xiuzhen, Tian, Dong, Li, Di, Chen, Jianguo, Wu, Yize, Xiao, Tianlu, Liu, Peng, Zhang, Changlin, Dong, Ning, Li, Xiaolan, Ma, Yuqing, Yang, Rensheng, Lei, Minfan, Fu, Jing, He, Yu, Liu, Xiaojie, Xing, Qiang, Zhou, Lopez-Jaramillo, P, Lopez, PA Camacho, Garcia, R, Jurado, LJA, Gómez-Arbeláez, D, Arguello, JF, Dueñas, R, Silva, S, Pradilla, LP, Ramirez, F, Molina, DI, Cure-Cure, C, Perez, M, Hernandez, E, Arcos, E, Fernandez, S, Narvaez, C, Paez, J, Sotomayor, A, Garcia, H, Sanchez, G, David, T, Rico, A, Mony, P, Vaz, M, Bharathi, A V, Swaminathan, S, Kurpad, K Shankar AV, Jayachitra, KG, Kumar, N, Hospital, HAL, Mohan, V, Deepa, M, Parthiban, K, Anitha, M, Hemavathy, S, Rahulashankiruthiyayan, T, Anitha, D, Sridevi, K, Gupta, R, Panwar, RB, Mohan, I, Rastogi, P, Rastogi, S, Bhargava, R, Kumar, R, Thakur, J S, Patro, B, Lakshmi, PVM, Mahajan, R, Chaudary, P, Kutty, V Raman, Vijayakumar, K, Ajayan, K, Rajasree, G, Renjini, AR, Deepu, A, Sandhya, B, Asha, S, Soumya, HS, Kelishadi, R, Bahonar, A, Mohammadifard, N, Heidari, H, Yusoff, K, Ismail, TST, Ng, KK, Devi, A, Nasir, NM, Yasin, MM, Miskan, M, Rahman, EA, Arsad, MKM, Ariffin, F, Razak, SA, Majid, FA, Bakar, NA, Yacob, MY, Zainon, N, Salleh, R, Ramli, MKA, Halim, NA, Norlizan, SR, Ghazali, NM, Arshad, MN, Razali, R, Ali, S, Othman, HR, Hafar, CWJCW, Pit, A, Danuri, N, Basir, F, Zahari, SNA, Abdullah, H, Arippin, MA, Zakaria, NA, Noorhassim, I, Hasni, MJ, Azmi, MT, Zaleha, MI, Hazdi, KY, Rizam, AR, Sazman, W, Azman, A, Khatib, R, Khammash, U, Khatib, A, Giacaman, R, Iqbal, R, Afridi, A, Khawaja, R, Raza, A, Kazmi, K, Zatonski, W, Szuba, A, Zatonska, K, Ilow, R, Ferus, M, Regulska-Ilow, B, Rózanska, D, Wolyniec, M, Alkamel, Ali, M, Kruger, M A, Voster, H H, Schutte, A E, Wentzel-Viljoen, E, Eloff, FC, de Ridder, H, Moss, H, Potgieter, J, Roux, AA, Watson, M, de Wet, G, Olckers, A, Jerling, JC, Pieters, M, Hoekstra, T, Puoane, T, Igumbor, E, Tsolekile, L, Sanders, D, Naidoo, P, Steyn, N, Peer, N, Mayosi, B, Rayner, B, Lambert, V, Levitt, N, Kolbe-Alexander, T, Ntyintyane, L, Hughes, G, Swart, R, Fourie, J, Muzigaba, M, Xapa, S, Gobile, N, Ndayi, K, Jwili, B, Ndibaza, K, Egbujie, B, Rosengren, A, Boström, K Bengtsson, Gustavsson, A, Andreasson, M, Snällman, M, Wirdemann, L, Oguz, A, Imeryuz, N, Altuntas, Y, Gulec, S, Temizhan, A, Karsidag, K, Calik, KBT, Akalin, AAK, Caklili, OT, Keskinler, MV, Erbakan, AN, Yusufali, AM, Almahmeed, W, Swidan, H, Darwish, EA, Hashemi, ARA, Al-Khaja, N, Muscat-Baron, JM, Ahmed, SH, Mamdouh, TM, Darwish, WM, Abdelmotagali, MHS, Awed, SA Omer, Movahedi, GA, Hussain, F, Al Shaibani, H, Gharabou, RIM, Youssef, DF, Nawati, AZS, Salah, ZAR Abu, Abdalla, RFE, Al Shuwaihi, SM, Al Omairi, MA, Cadigal, OD, Alejandrino, R.S., Chifamba, J, Gwaunza, L, Terera, G, Mahachi, C, Murambiwa, P, Machiweni, T, Mapanga, R, Miller, Victoria, Mente, Andrew, Dehghan, Mahshid, Rangarajan, Sumathy, Zhang, Xiaohe, Swaminathan, Sumathi, Dagenais, Gilles, Gupta, Rajeev, Mohan, Viswanathan, Lear, Scott, Bangdiwala, Shrikant I, Schutte, Aletta E, Wentzel-Viljoen, Edelweiss, Avezum, Alvaro, Altuntas, Yuksel, Yusoff, Khalid, Ismail, Noorhassim, Peer, Nasheeta, Chifamba, Jephat, Diaz, Rafael, Rahman, Omar, Mohammadifard, Noushin, Lana, Fernando, Zatonska, Katarzyna, Wielgosz, Andreas, Yusufali, Afzalhussein, Iqbal, Romaina, Lopez-Jaramillo, Patricio, Khatib, Rasha, Rosengren, Annika, Li, Wei, Liu, Jiankang, Liu, Xiaoyun, Yin, Lu, Teo, Koon, Anand, Sonia, and Yusuf, Salim
- Published
- 2017
- Full Text
- View/download PDF
3. Associations of fats and carbohydrate intake with cardiovascular disease and mortality in 18 countries from five continents (PURE): a prospective cohort study
- Author
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Diaz, R, Orlandini, A, Linetsky, B, Toscanelli, S, Casaccia, G, Cuneo, JM Maini, Rahman, O, Yusuf, R, Azad, AK, Rabbani, KA, Cherry, HM, Mannan, A, Hassan, I, Talukdar, AT, Tooheen, RB, Khan, MU, Sintaha, M, Choudhury, T, Haque, R, Parvin, S, Avezum, A, Oliveira, GB, Marcilio, CS, Mattos, AC, Teo, K, Yusuf, S, Dejesus, J, Agapay, D, Tongana, T, Solano, R, Kay, I, Trottier, S, Rimac, J, Elsheikh, W, Heldman, L, Ramezani, E, Dagenais, G, Poirier, P, Turbide, G, Auger, D, De Bluts, A LeBlanc, Proulx, MC, Cayer, M, Bonneville, N, Lear, S, Gasevic, D, Corber, E, de Jong, V, Vukmirovich, I, Wielgosz, A, Fodor, G, Pipe, A, Shane, A, Lanas, F, Seron, P, Martinez, S, Valdebenito, A, Oliveros, M, Wei, Li, Lisheng, Liu, Chunming, Chen, Xingyu, Wang, Wenhua, Zhao, Hongye, Zhang, Xuan, Jia, Bo, Hu, Yi, Sun, Jian, Bo, Xiuwen, Zhao, Xiaohong, Chang, Tao, Chen, Hui, Chen, Qing, Deng, Xiaoru, Cheng, Xinye, He, Jian, Li, Juan, Li, Xu, Liu, Bing, Ren, Wei, Wang, Yang, Wang, Jun, Yang, Yi, Zhai, Manlu, Zhu, Fanghong, Lu, Jianfang, Wu, Yindong, Li, Yan, Hou, Liangqing, Zhang, Baoxia, Guo, Xiaoyang, Liao, Shiying, Zhang, Rongwen, Bian, Xiuzhen, Tian, Dong, Li, Di, Chen, Jianguo, Wu, Yize, Xiao, Tianlu, Liu, Peng, Zhang, Changlin, Dong, Ning, Li, Xiaolan, Ma, Yuqing, Yang, Rensheng, Lei, Minfan, Fu, Jing, He, Yu, Liu, Xiaojie, Xing, Qiang, Zhou, Lopez-Jaramillo, P, Lopez, PA Camacho, Garcia, R, Jurado, LJA, Gómez-Arbeláez, D, Arguello, JF, Dueñas, R, Silva, S, Pradilla, LP, Ramirez, F, Molina, DI, Cure-Cure, C, Perez, M, Hernandez, E, Arcos, E, Fernandez, S, Narvaez, C, Paez, J, Sotomayor, A, Garcia, H, Sanchez, G, David, T, Rico, A, Mony, P, Vaz, M, Bharathi, A V, Swaminathan, S, Kurpad, K Shankar AV, Jayachitra, KG, Kumar, N, Hospital, HAL, Mohan, V, Deepa, M, Parthiban, K, Anitha, M, Hemavathy, S, Rahulashankiruthiyayan, T, Anitha, D, Sridevi, K, Gupta, R, Panwar, RB, Mohan, I, Rastogi, P, Rastogi, S, Bhargava, R, Kumar, R, Thakur, J S, Patro, B, Lakshmi, PVM, Mahajan, R, Chaudary, P, Kutty, V Raman, Vijayakumar, K, Ajayan, K, Rajasree, G, Renjini, AR, Deepu, A, Sandhya, B, Asha, S, Soumya, HS, Kelishadi, R, Bahonar, A, Mohammadifard, N, Heidari, H, Yusoff, K, Ismail, TST, Ng, KK, Devi, A, Nasir, NM, Yasin, MM, Miskan, M, Rahman, EA, Arsad, MKM, Ariffin, F, Razak, SA, Majid, FA, Bakar, NA, Yacob, MY, Zainon, N, Salleh, R, Ramli, MKA, Halim, NA, Norlizan, SR, Ghazali, NM, Arshad, MN, Razali, R, Ali, S, Othman, HR, Hafar, CWJCW, Pit, A, Danuri, N, Basir, F, Zahari, SNA, Abdullah, H, Arippin, MA, Zakaria, NA, Noorhassim, I, Hasni, MJ, Azmi, MT, Zaleha, MI, Hazdi, KY, Rizam, AR, Sazman, W, Azman, A, Khatib, R, Khammash, U, Khatib, A, Giacaman, R, Iqbal, R, Afridi, A, Khawaja, R, Raza, A, Kazmi, K, Zatonski, W, Szuba, A, Zatonska, K, Ilow, R, Ferus, M, Regulska-Ilow, B, Rózanska, D, Wolyniec, M, Alkamel, Ali, M, Kruger, M A, Voster, H H, Schutte, A E, Wentzel-Viljoen, E, Eloff, FC, de Ridder, H, Moss, H, Potgieter, J, Roux, AA, Watson, M, de Wet, G, Olckers, A, Jerling, JC, Pieters, M, Hoekstra, T, Puoane, T, Igumbor, E, Tsolekile, L, Sanders, D, Naidoo, P, Steyn, N, Peer, N, Mayosi, B, Rayner, B, Lambert, V, Levitt, N, Kolbe-Alexander, T, Ntyintyane, L, Hughes, G, Swart, R, Fourie, J, Muzigaba, M, Xapa, S, Gobile, N, Ndayi, K, Jwili, B, Ndibaza, K, Egbujie, B, Rosengren, A, Boström, K Bengtsson, Gustavsson, A, Andreasson, M, Snällman, M, Wirdemann, L, Oguz, A, Imeryuz, N, Altuntas, Y, Gulec, S, Temizhan, A, Karsidag, K, Calik, KBT, Akalin, AAK, Caklili, OT, Keskinler, MV, Erbakan, AN, Yusufali, AM, Almahmeed, W, Swidan, H, Darwish, EA, Hashemi, ARA, Al-Khaja, N, Muscat-Baron, JM, Ahmed, SH, Mamdouh, TM, Darwish, WM, Abdelmotagali, MHS, Awed, SA Omer, Movahedi, GA, Hussain, F, Al Shaibani, H, Gharabou, RIM, Youssef, DF, Nawati, AZS, Salah, ZAR Abu, Abdalla, RFE, Al Shuwaihi, SM, Al Omairi, MA, Cadigal, OD, Alejandrino, R.S., Chifamba, J, Gwaunza, L, Terera, G, Mahachi, C, Murambiwa, P, Machiweni, T, Mapanga, R, Dehghan, Mahshid, Mente, Andrew, Zhang, Xiaohe, Swaminathan, Sumathi, Li, Wei, Mohan, Viswanathan, Iqbal, Romaina, Kumar, Rajesh, Wentzel-Viljoen, Edelweiss, Rosengren, Annika, Amma, Leela Itty, Avezum, Alvaro, Chifamba, Jephat, Diaz, Rafael, Khatib, Rasha, Lear, Scott, Lopez-Jaramillo, Patricio, Liu, Xiaoyun, Gupta, Rajeev, Mohammadifard, Noushin, Gao, Nan, Oguz, Aytekin, Ramli, Anis Safura, Seron, Pamela, Sun, Yi, Szuba, Andrzej, Tsolekile, Lungiswa, Wielgosz, Andreas, Yusuf, Rita, Hussein Yusufali, Afzal, Teo, Koon K, Rangarajan, Sumathy, Dagenais, Gilles, Bangdiwala, Shrikant I, Islam, Shofiqul, Anand, Sonia S, and Yusuf, Salim
- Published
- 2017
- Full Text
- View/download PDF
4. Association of dietary nutrients with blood lipids and blood pressure in 18 countries: a cross-sectional analysis from the PURE study
- Author
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Yusuf, S, Rangarajan, S, Teo, K K, Chow, C K, O'Donnell, M, Mente, A, Leong, D, Smyth, A, Joseph, P, Merchant, A, Islam, S, Zhang, M, Hu, W, Ramasundarahettige, C, Wong, G, Bangdiwala, S, Dyal, L, Casanova, A, Dehghan, M, Lewis, G, Aliberti, A, Arshad, A, Reyes, A, Zaki, A, Lewis, B, Zhang, B, Agapay, D, Hari, D, Milazzo, E, Ramezani, E, Hussain, F, Shifaly, F, McAlpine, G, Kay, I, Lindeman, J, Rimac, J, Swallow, J, Heldman, L, Mushtaha, M(a), Mushtaha, M(o), Trottier, M, Riggi, M, Aoucheva, N, Kandy, N, Mackie, P, Solano, R, Chin, S, Ramacham, S, Shahrook, S, Trottier, S, Tongana, T, ElSheikh, W, Iyengar, Y, McQueen, M, Hall, K, Keys, J, Wang, X, Keneth, J, Devanath, A, Diaz, R, Orlandini, A, Linetsky, B, Toscanelli, S, Casaccia, G, Cuneo, JM Maini, Rahman, O, Yusuf, R, Azad, AK, Rabbani, KA, Cherry, HM, Mannan, A, Hassan, I, Talukdar, AT, Tooheen, RB, Khan, MU, Sintaha, M, Choudhury, T, Haque, R, Parvin, S, Avezum, A, Oliveira, GB, Marcilio, CS, Mattos, AC, Teo, K, Dejesus, J, Elsheikh, W, Dagenais, G, Poirier, P, Turbide, G, Auger, D, De Bluts, A LeBlanc, Proulx, MC, Cayer, M, Bonneville, N, Lear, S, Gasevic, D, Corber, E, de Jong, V, Vukmirovich, I, Wielgosz, A, Fodor, G, Pipe, A, Shane, A, Lanas, F, Seron, P, Martinez, S, Valdebenito, A, Oliveros, M, Wei, Li, Lisheng, Liu, Chunming, Chen, Xingyu, Wang, Wenhua, Zhao, Hongye, Zhang, Xuan, Jia, Bo, Hu, Yi, Sun, Jian, Bo, Xiuwen, Zhao, Xiaohong, Chang, Tao, Chen, Hui, Chen, Qing, Deng, Xiaoru, Cheng, Xinye, He, Jian, Li, Juan, Li, Xu, Liu, Bing, Ren, Wei, Wang, Yang, Wang, Jun, Yang, Yi, Zhai, Manlu, Zhu, Fanghong, Lu, Jianfang, Wu, Yindong, Li, Yan, Hou, Liangqing, Zhang, Baoxia, Guo, Xiaoyang, Liao, Shiying, Zhang, Rongwen, Bian, Xiuzhen, Tian, Dong, Li, Di, Chen, Jianguo, Wu, Yize, Xiao, Tianlu, Liu, Peng, Zhang, Changlin, Dong, Ning, Li, Xiaolan, Ma, Yuqing, Yang, Rensheng, Lei, Minfan, Fu, Jing, He, Yu, Liu, Xiaojie, Xing, Qiang, Zhou, Lopez-Jaramillo, P, Lopez, PA Camacho, Garcia, R, Jurado, LJA, Gómez-Arbeláez, D, Arguello, JF, Dueñas, R, Silva, S, Pradilla, LP, Ramirez, F, Molina, DI, Cure-Cure, C, Perez, M, Hernandez, E, Arcos, E, Fernandez, S, Narvaez, C, Paez, J, Sotomayor, A, Garcia, H, Sanchez, G, David, T, Rico, A, Mony, P, Vaz, M, Bharathi, A V, Swaminathan, S, Kurpad, K Shankar AV, Jayachitra, KG, Kumar, N, Hospital, HAL, Mohan, V, Deepa, M, Parthiban, K, Anitha, M, Hemavathy, S, Rahulashankiruthiyayan, T, Anitha, D, Sridevi, K, Gupta, R, Panwar, RB, Mohan, I, Rastogi, P, Rastogi, S, Bhargava, R, Kumar, R, Thakur, J S, Patro, B, Lakshmi, PVM, Mahajan, R, Chaudary, P, Kutty, V Raman, Vijayakumar, K, Ajayan, K, Rajasree, G, Renjini, AR, Deepu, A, Sandhya, B, Asha, S, Soumya, HS, Kelishadi, R, Bahonar, A, Mohammadifard, N, Heidari, H, Yusoff, K, Ismail, TST, Ng, KK, Devi, A, Nasir, NM, Yasin, MM, Miskan, M, Rahman, EA, Arsad, MKM, Ariffin, F, Razak, SA, Majid, FA, Bakar, NA, Yacob, MY, Zainon, N, Salleh, R, Ramli, MKA, Halim, NA, Norlizan, SR, Ghazali, NM, Arshad, MN, Razali, R, Ali, S, Othman, HR, Hafar, CWJCW, Pit, A, Danuri, N, Basir, F, Zahari, SNA, Abdullah, H, Arippin, MA, Zakaria, NA, Noorhassim, I, Hasni, MJ, Azmi, MT, Zaleha, MI, Hazdi, KY, Rizam, AR, Sazman, W, Azman, A, Khatib, R, Khammash, U, Khatib, A, Giacaman, R, Iqbal, R, Afridi, A, Khawaja, R, Raza, A, Kazmi, K, Dans, A, Co, HU, Sanchez, JT, Pudol, L, Zamora-Pudol, C, Palileo-Villanueva, LAM, Aquino, MR, Abaquin, C, Pudol, SL, Cabral, ML, Zatonski, W, Szuba, A, Zatonska, K, Ilow, R, Ferus, M, Regulska-Ilow, B, Rózanska, D, Wolyniec, M, AlHabib, KF, Hersi, A, Kashour, T, Alfaleh, H, Alshamiri, M, Altaradi, HB, Alnobani, O, Bafart, A, Alkamel, N, Ali, M, Abdulrahman, M, Nouri, R, Kruger, A, Voster, H H, Schutte, A E, Wentzel-Viljoen, E, Eloff, FC, de Ridder, H, Moss, H, Potgieter, J, Roux, AA, Watson, M, de Wet, G, Olckers, A, Jerling, JC, Pieters, M, Hoekstra, T, Puoane, T, Igumbor, E, Tsolekile, L, Sanders, D, Naidoo, P, Steyn, N, Peer, N, Mayosi, B, Rayner, B, Lambert, V, Levitt, N, Kolbe-Alexander, T, Ntyintyane, L, Hughes, G, Swart, R, Fourie, J, Muzigaba, M, Xapa, S, Gobile, N, Ndayi, K, Jwili, B, Ndibaza, K, Egbujie, B, Rosengren, A, Bengtsson Boström, K, Gustavsson, A, Andreasson, M, Snällman, M, Wirdemann, L, Yeates, K, Sleeth, J, Kilonzo, K, Oguz, A, Imeryuz, N, Altuntas, Y, Gulec, S, Temizhan, A, Karsidag, K, Calik, KBT, Akalin, AAK, Caklili, OT, Keskinler, MV, Erbakan, AN, Yusufali, AM, Almahmeed, W, Swidan, H, Darwish, EA, Hashemi, ARA, Al-Khaja, N, Muscat-Baron, JM, Ahmed, SH, Mamdouh, TM, Darwish, WM, Abdelmotagali, MHS, Awed, SA Omer, Movahedi, GA, Al Shaibani, H, Gharabou, RIM, Youssef, DF, Nawati, AZS, Salah, ZAR Abu, Abdalla, RFE, Al Shuwaihi, SM, Al Omairi, MA, Cadigal, OD, Alejandrino, R.S., Chifamba, J, Gwaunza, L, Terera, G, Mahachi, C, Murambiwa, P, Machiweni, T, Mapanga, R, Mente, Andrew, Dehghan, Mahshid, Rangarajan, Sumathy, McQueen, Matthew, Dagenais, Gilles, Wielgosz, Andreas, Lear, Scott, Li, Wei, Chen, Hui, Wang, Yang, Diaz, Rafael, Avezum, Alvaro, Lopez-Jaramillo, Patricio, Seron, Pamela, Kumar, Rajesh, Gupta, Rajeev, Mohan, Viswanathan, Swaminathan, Sumathi, Kutty, Raman, Zatonska, Katarzyna, Iqbal, Romaina, Yusuf, Rita, Mohammadifard, Noushin, Khatib, Rasha, Nasir, Nafiza Mat, Ismail, Noorhassim, Oguz, Aytekin, Rosengren, Annika, Yusufali, Afzalhussein, Wentzel-Viljoen, Edelweiss, Puoane, Thandi, Chifamba, Jephat, Teo, Koon, Anand, Sonia S, and Yusuf, Salim
- Published
- 2017
- Full Text
- View/download PDF
5. Availability and affordability of blood pressure-lowering medicines and the effect on blood pressure control in high-income, middle-income, and low-income countries: an analysis of the PURE study data
- Author
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Yusuf, S, Rangarajan, S, Teo, K K, Chow, C K, O'Donnell, M, Mente, A, Leong, D, Smyth, A, Joseph, P, Islam, S, Zhang, M, Hu, W, Ramasundarahettige, C, Wong, G, Dayal, L, Casanova, A, Dehghan, M, Lewis, G, Aliberti, A, Reyes, A, Zaki, A, Lewis, B, Zhang, B, Agapay, D, Hari, D, Milazzo, E, Ramezani, E, Hussain, F, Shifaly, F, Kay, I, Rimac, J, Swallow, J, Heldman, L, Mushtaha, M(a), Mushtaha, M(o), Trottier, M, Aoucheva, N, Kandy, N, Mackie, P, Solano, R, Chin, S, Ramacham, S, Shahrook, S, Trottier, S, Tongana, T, ElSheikh, W, Lindeman, J, McQueen, M, Hall, K, Keys, J, Wang, X, Keneth, J, Devanath, A, Diaz, R, Orlandini, A, Linetsky, B, Toscanelli, S, Casaccia, G, Maini Cuneo, JM, Rahman, O, Yusuf, R, Azad, AK, Rabbani, KA, Cherry, HM, Mannan, A, Hassan, I, Talukdar, AT, Tooheen, RB, Khan, MU, Sintaha, M, Choudhury, T, Haque, R, Parvin, S, Avezum, A, Oliveira, GB, Marcilio, CS, Mattos, AC, Teo, K, Dejesus, J, Elsheikh, W, Dagenais, G, Poirier, P, Turbide, G, Auger, D, De Bluts, A LeBlanc, Proulx, MC, Cayer, M, Bonneville, N, Lear, S, Gasevic, D, Corber, E, de Jong, V, Vukmirovich, I, Wielgosz, A, Fodor, G, Pipe, A, Shane, A, Lanas, F, Seron, P, Martinez, S, Valdebenito, A, Oliveros, M, Wei, Li, Lisheng, Liu, Chunming, Chen, Xingyu, Wang, Wenhua, Zhao, Hongye, Zhang, JiaXuan, Bo, Hu, Yi, Sun, Jian, Bo, Xiuwen, Zhao, Xiaohong, Chang, Tao, Chen, Hui, Chen, Qing, Deng, Xiaoru, Cheng, Xinye, He, Jian, Li, Juan, Li, Xu, Liu, Bing, Ren, Wei, Wang, Yang, Wang, Jun, Yang, Yi, Zhai, Manlu, Zhu, Fanghong, Lu, Jianfang, Wu, Yindong, Li, Yan, Hou, Liangqing, Zhang, Baoxia, Guo, Xiaoyang, Liao, Shiying, Zhang, BianRongwen, TianXiuzhen, Dong, Li, Di, Chen, Jianguo, Wu, Yize, Xiao, Tianlu, Liu, Peng, Zhang, Changlin, Dong, Ning, Li, Xiaolan, Ma, Yuqing, Yang, Rensheng, Lei, Minfan, Fu, Jing, He, Yu, Liu, Xiaojie, Xing, Qiang, Zhou, Lopez-Jaramillo, P, Lopez, PA Camacho, Garcia, R, Jurado, LJA, Gómez-Arbeláez, D, Arguello, JF, Dueñas, R, Silva, S, Pradilla, LP, Ramirez, F, Molina, DI, Cure-Cure, C, Perez, M, Hernandez, E, Arcos, E, Fernandez, S, Narvaez, C, Paez, J, Sotomayor, A, Garcia, H, Sanchez, G, David, T, Rico, A, Mony, P, Vaz, M, Bharathi, A V, Swaminathan, S, Shankar, K, Kurpad, AV, Jayachitra, KG, Kumar, N, Hospital, HAL, Mohan, V, Deepa, M, Parthiban, K, Anitha, M, Hemavathy, S, Rahulashankiruthiyayan, T, Anitha, D, Sridevi, K, Gupta, R, Panwar, RB, Mohan, I, Rastogi, P, Rastogi, S, Bhargava, R, Kumar, R, Thakur, J S, Patro, B, Lakshmi, PVM, Mahajan, R, Chaudary, P, Kutty, V Raman, Vijayakumar, K, Ajayan, K, Rajasree, G, Renjini, AR, Deepu, A, Sandhya, B, Asha, S, Soumya, HS, Kelishadi, R, Bahonar, A, Mohammadifard, N, Heidari, H, Yusoff, K, Ismail, TST, Ng, KK, Devi, A, Nasir, NM, Yasin, MM, Miskan, M, Rahman, EA, Arsad, MKM, Ariffin, F, Razak, SA, Majid, FA, Bakar, NA, Yacob, MY, Zainon, N, Salleh, R, Ramli, MKA, Halim, NA, Norlizan, SR, Ghazali, NM, Arshad, MN, Razali, R, Ali, S, Othman, HR, Hafar, CWJCW, Pit, A, Danuri, N, Basir, F, Zahari, SNA, Abdullah, H, Arippin, MA, Zakaria, NA, Noorhassim, I, Hasni, MJ, Azmi, MT, Zaleha, MI, Hazdi, KY, Rizam, AR, Sazman, W, Azman, A, Khatib, R, Khammash, U, Khatib, A, Giacaman, R, Iqbal, R, Afridi, A, Khawaja, R, Raza, A, Kazmi, K, Dans, A, Co, HU, Sanchez, JT, Pudol, L, Zamora-Pudol, C, Palileo-Villanueva, LAM, Aquino, MR, Abaquin, C, Pudol, SL, Cabral, ML, Zatonski, W, Szuba, A, Zatonska, K, Ilow#, R, Ferus, M, Regulska-Ilow, B, Różańska, D, Wolyniec, M, AlHabib, KF, Hersi, A, Kashour, T, Alfaleh, H, Alshamiri, M, Altaradi, HB, Alnobani, O, Bafart, A, Alkamel, N, Ali, M, Abdulrahman, M, Nouri, R, Kruger, A, Voster, H H, Schutte, A E, Wentzel-Viljoen, E, Eloff, FC, de Ridder, H, Moss, H, Potgieter, J, Roux, AA, Watson, M, de Wet, G, Olckers, A, Jerling, JC, Pieters, M, Hoekstra, T, Puoane, T, Igumbor, E, Tsolekile, L, Sanders, D, Naidoo, P, Steyn, N, Peer, N, Mayosi, B, Rayner, B, Lambert, V, Levitt, N, Kolbe-Alexander, T, Ntyintyane, L, Hughes, G, Swart, R, Fourie, J, Muzigaba, M, Xapa, S, Gobile, N, Ndayi, K, Jwili, B, Ndibaza, K, Egbujie, B, Rosengren, A, Boström, K Bengtsson, Lindblad, U, Langkilde, P, Gustavsson, A, Andreasson, M, Snällman, M, Wirdemann, L, Pettersson, K, Moberg, E, Yeates, K, Sleeth, J, Kilonzo, K, Oguz, A, Akalin, AAK, Calik, KBT, Imeryuz, N, Temizhan, A, Alphan, E, Gunes, E, Sur, H, Karsidag, K, Gulec, S, Altuntas, Y, Yusufali, AM, Almahmeed, W, Swidan, H, Darwish, EA, Hashemi, ARA, Al-Khaja, N, Muscat-Baron, JM, Ahmed, SH, Mamdouh, TM, Darwish, WM, Abdelmotagali, MHS, Awed, SA Omer, Movahedi, GA, Shaibani, H Al, Gharabou, RIM, Youssef, DF, Nawati, AZS, Salah, ZAR Abu, Abdalla, RFE, Shuwaihi, SM Al, Omairi, MA Al, Cadigal, OD, Alejandrino, R.S., Chifamba, J, Gwaunza, L, Terera, G, Mahachi, C, Murambiwa, P, Machiweni, T, Mapanga, R, Attaei, Marjan W, Khatib, Rasha, McKee, Martin, Lear, Scott, Dagenais, Gilles, Igumbor, Ehimario U, AlHabib, Khalid F, Kaur, Manmeet, Kruger, Lanthe, Teo, Koon, Lanas, Fernando, Yusoff, Khalid, Oguz, Aytekin, Gupta, Rajeev, Yusufali, Afzalhussein M, Bahonar, Ahmad, Kutty, Raman, Rosengren, Annika, Mohan, Viswanathan, Avezum, Alvaro, Yusuf, Rita, Szuba, Andrzej, Rangarajan, Sumathy, Chow, Clara, and Yusuf, Salim
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- 2017
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6. Plasma FGF21 levels in obese patients undergoing energy-restricted diets or bariatric surgery: a marker of metabolic stress?
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Crujeiras, A B, Gomez-Arbelaez, D, Zulet, M A, Carreira, M C, Sajoux, I, de Luis, D, Castro, A I, Baltar, J, Baamonde, I, Sueiro, A, Macias-Gonzalez, M, Bellido, D, Tinahones, F J, Martinez, J A, and Casanueva, F F
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- 2017
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7. Practice patterns and outcomes after stroke across countries at different economic levels (INTERSTROKE): an international observational study
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Langhorne, Peter, primary, O'Donnell, Martin J, additional, Chin, Siu Lim, additional, Zhang, Hongye, additional, Xavier, Denis, additional, Avezum, Alvaro, additional, Mathur, Nandini, additional, Turner, Melanie, additional, MacLeod, Mary Joan, additional, Lopez-Jaramillo, Patricio, additional, Damasceno, Albertino, additional, Hankey, Graeme J, additional, Dans, Antonio L, additional, Elsayed, Ahmed, additional, Mondo, Charles, additional, Wasay, Mohammad, additional, Czlonkowska, Anna, additional, Weimar, Christian, additional, Yusufali, Afzal Hussein, additional, Hussain, Fawaz Al, additional, Lisheng, Liu, additional, Diener, Hans-Christoph, additional, Ryglewicz, Danuta, additional, Pogosova, Nana, additional, Iqbal, Romana, additional, Diaz, Rafael, additional, Yusoff, Khalid, additional, Oguz, Aytekin, additional, Wang, Xingyu, additional, Penaherrera, Ernesto, additional, Lanas, Fernando, additional, Ogah, Okechukwu S, additional, Ogunniyi, Adesola, additional, Iversen, Helle K, additional, Malaga, German, additional, Rumboldt, Zvonko, additional, Magazi, Daliwonga, additional, Nilanont, Yongchai, additional, Rosengren, Annika, additional, Oveisgharan, Shahram, additional, Yusuf, Salim, additional, O'Donnell, M., additional, Yusuf, S., additional, Rangarajan, S., additional, Rao-Melacini, P., additional, Zhang, X. Michelle, additional, Islam, S., additional, Kabali, C., additional, Casanova, A., additional, Chin, S.L., additional, DeJesus, J., additional, Dehghan, M., additional, Agapay, S., additional, McQueen, M., additional, Hall, K., additional, Keys, J., additional, Wang, X., additional, Devanath, A., additional, Gupta, R., additional, Prabhakaran, D., additional, Diaz, R., additional, Schygiel, P., additional, Garrote, M., additional, Rodriguez, M.A., additional, Caccavo, A., additional, Duran, R.G., additional, Sposato, L., additional, Molinos, J., additional, Valdez, P., additional, Cedrolla, C.M., additional, Nofal, P.G., additional, Huerta, M.F., additional, Desmery, P.M., additional, Zurru, M.C., additional, Della Vedova, B., additional, Varigos, J., additional, Hankey, G., additional, Kraemer, T., additional, Gates, P., additional, Bladin, C., additional, Herkes, G., additional, Avezum, A., additional, Pereira, M.P., additional, Minuzzo, L., additional, Oliveira, L., additional, Teixeira, M., additional, Reis, H., additional, Carvalho, A., additional, Ouriques Martins, S., additional, Carvalho, J.J., additional, Gebara, O., additional, Minelli, C., additional, Oliveira, D.C., additional, Sobral Sousa, A.C., additional, Ferraz de Almeida, A.C., additional, Hernandez, M.E., additional, Friedrich, M., additional, Mota, D.M., additional, Ritt, L.E., additional, Correa Vila Nova, D., additional, Teal, P., additional, Gladstone, D., additional, Shuaib, A., additional, Silver, F., additional, Dowlatshahi, D., additional, Lanas, F., additional, Carcamo, D., additional, Santibañez, C., additional, Garces, E., additional, Liu, L.S., additional, Zhang, H.Y., additional, Fang, H.P., additional, Lian, M.F., additional, Shen, F., additional, Luo, F.X., additional, Wen, X.X., additional, Xu, Z.Q., additional, Liu, Z.Z., additional, Yan, W., additional, Yu, J.F., additional, Wang, W.K., additional, Liu, L.H., additional, Sun, Y.H., additional, Zhou, L.C., additional, Zhang, Z.F., additional, LV, J., additional, Zhang, C.S., additional, Chen, G., additional, Wang, H.L., additional, Chen, Y., additional, Zheng, H., additional, Huang, J.J., additional, Li, W.Z., additional, Wang, L.J., additional, Shi, J.X., additional, Hu, C.Y., additional, Song, H.F., additional, Ji, R.Y., additional, Wang, D.L., additional, Meng, L.H., additional, Meng, Q.W., additional, Duan, L.J., additional, Liu, H.F., additional, Luo, Y.C., additional, Zhang, Q.Y., additional, Wu, Y.B., additional, Wang, C.R., additional, Zhao, J.G., additional, Liu, S.G., additional, Shi, C.L., additional, Wang, X.Y., additional, Lopez-Jaramillo, P., additional, Martinez, A., additional, Sanchez-Vallejo, G., additional, Molina, D.I., additional, Espinosa, T., additional, Garcia Lozada, H., additional, Gomez-Arbelaez, D., additional, Camacho, P.A., additional, Rumboldt, Z., additional, Lusic, I., additional, Iversen, H.K., additional, Truelsen, T., additional, Back, C., additional, Pedersen, M.M., additional, Peñaherrera, E., additional, Duarte, Y.C., additional, Cevallos, S., additional, Tettamanti, D., additional, Caceres, S., additional, Diener, H.C., additional, Weimar, C., additional, Grau, A., additional, Rother, J., additional, Ritter, M., additional, Back, T., additional, Winter, Y., additional, Pais, P., additional, Xavier, D., additional, Sigamani, A., additional, Mathur, N., additional, Rahul, P., additional, Murali, A., additional, Roy, A.K., additional, Sarma, G.R.K., additional, Matthew, T., additional, Kusumkar, G., additional, Salam, K.A., additional, Karadan, U., additional, Achambat, L., additional, Singh, Y., additional, Pandian, J.D., additional, Verma, R., additional, Atam, V., additional, Agarwal, A., additional, Chidambaram, N., additional, Umarani, R., additional, Ghanta, S., additional, Babu, G.K., additional, Sathyanarayana, G., additional, Sarada, G., additional, Navya Vani, S., additional, Sundararajan, R., additional, Sivakumar, S.S., additional, Wadia, R.S., additional, Bandishti, S., additional, Agarwal, R.R., additional, Mohan, I., additional, Joshi, S., additional, Kulkarni, S., additional, Partha Saradhi, S., additional, Joshi, P., additional, Pandharipande, M., additional, Badnerkar, N., additional, Joshi, R., additional, Kalantri, S.P., additional, Somkumar, S., additional, Chauhan, S., additional, Singh, H., additional, Varma, S., additional, Sidhu, G.K., additional, Singh, R., additional, Bansal, K.L., additional, Bharani, A., additional, Pagare, S., additional, Chouhan, A., additional, Mahanta, B.N., additional, Mahanta, T.G., additional, Rajkonwar, G., additional, Diwan, S.K., additional, Mahajan, S.N., additional, Shaikh, P., additional, Devendrappa, H.R., additional, Agrawal, B.K., additional, Agrawal, A., additional, Khurana, D., additional, Thakur, S., additional, Jain, V., additional, Oveisgharan, S., additional, Bahonar, A., additional, Kelishadi, R., additional, Hossienzadeh, A., additional, Raeisidehkordi, M., additional, Akhavan, H., additional, Walsh, T., additional, Albaker, O., additional, Yusoff, K., additional, Chandramouli, A., additional, Shahadan, S., additional, Ibrahim, Z., additional, Husin, A., additional, Damasceno, A., additional, Lobo, V., additional, Loureiro, S., additional, Govo, V.A., additional, Ogah, O.S., additional, Ogunniyi, A., additional, Akinyemi, R.O., additional, Owolabi, M.O., additional, Sani, M.U., additional, Owolabi, L.F., additional, Iqbal, R., additional, Wasay, M., additional, Raza, A., additional, Malaga, G.G., additional, Lazo-Porras, M., additional, Loza-Herrera, J.D., additional, Acuña-Villaorduña, A., additional, Cardenas-Montero, D., additional, Dans, A., additional, Collantes, E., additional, Morales, D., additional, Roxas, A., additional, Villarruz-Sulit, M.V.C., additional, Czlonkowska, A., additional, Ryglewicz, D., additional, Skowronska, M., additional, Restel, M., additional, Bochynska, A., additional, Chwojnicki, K., additional, Kubach, M., additional, Stowik, A., additional, Wnuk, M., additional, Pogosova, N., additional, Ausheva, A., additional, Karpova, A., additional, Pshenichnikova, V., additional, Vertkin, A., additional, Kursakov, A., additional, Boytsov, S., additional, Al-Hussain, F., additional, DeVilliers, L., additional, Magazi, D., additional, Mayosi, B., additional, Elsayed, A.S.A., additional, Bikhari, A., additional, Sawaraldahab, Z., additional, Hamad, H., additional, ElTaher, M., additional, Abdelhameed, A., additional, Alawad, M., additional, Alkabashi, D., additional, Alsir, H., additional, Rosengren, A., additional, Andreasson, M., additional, Kembro Johansson, J., additional, Cederin, B., additional, Schander, C., additional, Elgasen, A.C., additional, Bertholds, E., additional, Boström Bengtsson, K., additional, Nilanont, Y., additional, Nidhinandana, S., additional, Tatsanavivat, P., additional, Paryoonwiwat, N., additional, Poungvarin, N., additional, Suwanwela, N.C., additional, Tiamkao, S., additional, Tulyapornchote, R., additional, Boonyakarnkul, S., additional, Hanchaiphiboolkul, S., additional, Muengtaweepongsa, S., additional, Watcharasaksilp, K., additional, Sathirapanya, P., additional, Pleumpanupat, P., additional, Oguz, A., additional, Akalin, A.A., additional, Caklili, O.T., additional, Isik, N., additional, Caliskan, B., additional, Sanlisoy, B., additional, Balkuv, E., additional, Tireli, H., additional, Yayla, V., additional, Cabalar, M., additional, Culha, A., additional, Senadim, S., additional, Arpaci, B., additional, Dayan, C., additional, Argun, T., additional, Yilmaz, S., additional, Celiker, S., additional, Kocer, A., additional, Asil, T., additional, Eryigit, G., additional, Mondo, C., additional, Kayima, J., additional, Nakisige, M., additional, Kitoleeko, S., additional, Yusufali, A.M., additional, Zuberi, B.J., additional, Mirza, H.Z., additional, Saleh, A.A., additional, BinAdi, J.M., additional, Hussain, F., additional, Langhorne, P., additional, Muir, K., additional, Walters, M., additional, McAlpine, C., additional, Ghosh, S., additional, Doney, A., additional, Johnston, S., additional, Mudd, P., additional, Black, T., additional, Murphy, P., additional, Jenkinson, D., additional, Kelly, D., additional, Whiting, R., additional, Dutta, D., additional, Shaw, L., additional, Mcfarlane, C., additional, Ronald, E., additional, and McBurnie, K., additional
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- 2018
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8. Waist circumference cut-off points to identify major cardiovascular events and incident diabetes in Latin America: findings from the prospective Urban rural epidemiology study Colombia.
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Lopez-Lopez JP, Gonzalez AM, Lanza P, Martinez-Bello D, Gomez-Arbelaez D, Otero J, Cohen DD, Perez-Mayorga M, Garcia-Peña AA, Rangarajan S, Yusuf S, and Lopez-Jaramillo P
- Abstract
Background: Abdominal obesity (AO) indirectly represents visceral adiposity and can be assessed by waist circumference (WC) measurement. In Latin America, cut-off points for the diagnosis of AO are based on Asian population data. We aim to establish the WC cut-off points to predict major cardiovascular events (MACE) and incident diabetes., Methods: We analyzed data from the cohort PURE study in Colombia. WC cut-off points were defined according to the maximum Youden index. Multivariate logistic regression was used to obtain associations between WC and MACE, diabetes, and cumulative incidence of outcomes visualized using Kaplan-Meier curves., Results: After a mean follow-up of 12 years, 6,580 individuals with a mean age of 50.7 ± 9.7 years were included; 64.2% were women, and 53.5% were from rural areas. The mean WC was 85.2 ± 11.6 cm and 88.3 ± 11.1 cm in women and men, respectively. There were 635 cases of the MACE composite plus incident diabetes (5.25 events per 1,000 person-years). Using a cut-off value of 88.85 cm in men (sensitivity = 0.565) and 85.65 cm in women (sensitivity = 0.558) resulted in the highest value for the prediction of the main outcome. These values were associated with a 1.76 and 1.41-fold increased risk of presenting the composite outcome in men and women, respectively., Conclusions: We defined WC cut-off points of 89 cm in men and 86 cm in women to identify the elevated risk of MACE and incident diabetes. Therefore, we suggest using these values in cardiovascular risk assessment in Latin America., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (© 2023 Lopez-Lopez, Gonzalez, Lanza, Martinez-Bello, Gomez-Arbelaez, Otero, Cohen, Perez-Mayorga, Garcia-Peña, Rangarajan, Yusuf and Lopez-Jaramillo.)
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- 2023
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9. Association of the triglyceride glucose index as a measure of insulin resistance with mortality and cardiovascular disease in populations from five continents (PURE study): a prospective cohort study.
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Lopez-Jaramillo P, Gomez-Arbelaez D, Martinez-Bello D, Abat MEM, Alhabib KF, Avezum Á, Barbarash O, Chifamba J, Diaz ML, Gulec S, Ismail N, Iqbal R, Kelishadi R, Khatib R, Lanas F, Levitt NS, Li Y, Mohan V, Mony PK, Poirier P, Rosengren A, Soman B, Wang C, Wang Y, Yeates K, Yusuf R, Yusufali A, Zatonska K, Rangarajan S, and Yusuf S
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- Humans, Prospective Studies, Triglycerides, Glucose, Blood Glucose metabolism, Cohort Studies, Cardiovascular Diseases epidemiology, Cardiovascular Diseases etiology, Diabetes Mellitus, Type 2 epidemiology, Diabetes Mellitus, Type 2 complications, Insulin Resistance, Myocardial Infarction complications, Stroke complications
- Abstract
Background: The triglyceride glucose (TyG) index is an easily accessible surrogate marker of insulin resistance, an important pathway in the development of type 2 diabetes and cardiovascular diseases. However, the association of the TyG index with cardiovascular diseases and mortality has mainly been investigated in Asia, with few data available from other regions of the world. We assessed the association of insulin resistance (as determined by the TyG index) with mortality and cardiovascular diseases in individuals from five continents at different levels of economic development, living in urban or rural areas. We also examined whether the associations differed according to the country's economical development., Methods: We used the TyG index as a surrogate measure for insulin resistance. Fasting triglycerides and fasting plasma glucose were measured at the baseline visit in 141 243 individuals aged 35-70 years from 22 countries in the Prospective Urban Rural Epidemiology (PURE) study. The TyG index was calculated as Ln (fasting triglycerides [mg/dL] x fasting plasma glucose [mg/dL]/2). We calculated hazard ratios (HRs) using a multivariable Cox frailty model with random effects to test the associations between the TyG index and risk of cardiovascular diseases and mortality. The primary outcome of this analysis was the composite of mortality or major cardiovascular events (defined as death from cardiovascular causes, and non-fatal myocardial infarction, or stroke). Secondary outcomes were non-cardiovascular mortality, cardiovascular mortality, all myocardial infarctions, stroke, and incident diabetes. We also did subgroup analyses to examine the magnitude of associations between insulin resistance (ie, the TyG index) and outcome events according to the income level of the countries., Findings: During a median follow-up of 13·2 years (IQR 11·9-14·6), we recorded 6345 composite cardiovascular diseases events, 2030 cardiovascular deaths, 3038 cases of myocardial infarction, 3291 cases of stroke, and 5191 incident cases of type 2 diabetes. After adjusting for all other variables, the risk of developing cardiovascular diseases increased across tertiles of the baseline TyG index. Compared with the lowest tertile of the TyG index, the highest tertile (tertile 3) was associated with a greater incidence of the composite outcome (HR 1·21; 95% CI 1·13-1·30), myocardial infarction (1·24; 1·12-1·38), stroke (1·16; 1·05-1·28), and incident type 2 diabetes (1·99; 1·82-2·16). No significant association of the TyG index was seen with non-cardiovascular mortality. In low-income countries (LICs) and middle-income countries (MICs), the highest tertile of the TyG index was associated with increased hazards for the composite outcome (LICs: HR 1·31; 95% CI 1·12-1·54; MICs: 1·20; 1·11-1·31; p
interaction =0·01), cardiovascular mortality (LICs: 1·44; 1·15-1·80; pinteraction =0·01), myocardial infarction (LICs: 1·29; 1·06-1·56; MICs: 1·26; 1·10-1·45; pinteraction =0·08), stroke (LICs: 1·35; 1·02-1·78; MICs: 1·17; 1·05-1·30; pinteraction =0·19), and incident diabetes (LICs: 1·64; 1·38-1·94; MICs: 2·68; 2·40-2·99; pinteraction <0·0001). In contrast, in high-income countries, higher TyG index tertiles were only associated with an increased hazard of incident diabetes (2·95; 2·25-3·87; pinteraction <0·0001), but not of cardiovascular diseases or mortality., Interpretation: The TyG index is significantly associated with future cardiovascular mortality, myocardial infarction, stroke, and type 2 diabetes, suggesting that insulin resistance plays a promoting role in the pathogenesis of cardiovascular and metabolic diseases. Potentially, the association between the TyG index and the higher risk of cardiovascular diseases and type 2 diabetes in LICs and MICs might be explained by an increased vulnerability of these populations to the presence of insulin resistance., Funding: Full funding sources are listed at the end of the paper (see Acknowledgments)., Competing Interests: Declaration of interests We declare no competing interests., (Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license. Published by Elsevier Ltd.. All rights reserved.)- Published
- 2023
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10. Insulin Resistance Markers to Detect Nonalcoholic Fatty Liver Disease in a Male Hispanic Population.
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Pérez-Mayorga M, Lopez-Lopez JP, Chacon-Manosalva MA, Castillo MG, Otero J, Martinez-Bello D, Gomez-Arbelaez D, Cohen DD, and Lopez-Jaramillo P
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- Adult, Biomarkers, Cross-Sectional Studies, Glucose, Hispanic or Latino, Humans, Insulin, Male, Middle Aged, Triglycerides, Insulin Resistance, Non-alcoholic Fatty Liver Disease diagnosis
- Abstract
Background: Nonalcoholic fatty liver disease (NAFLD) is one of the leading causes of chronic liver disease and is closely associated with cardiometabolic disorders, being insulin resistance (IR) the common pathogenic mechanism. The triglycerides/glucose (TyG) index and triglycerides/HDL-c (TG/HDL) ratio are markers correlated with IR. We compared the capacity of these two indexes, alongside IR, to detect NAFLD., Methods: In a cross-sectional cohort study, we examined 263 active military personnel from the Colombian Air Force, aged between 29 and 54 years. Anthropometric measurements and biochemical determinations (glycemia, lipid profile, and insulin) were obtained, and ultrasound studies were performed to evaluate the presence of NAFLD. HOMA-IR index was calculated as (fasting insulin ( µ IU/mL) × fasting glucose (mmol/L)/22.5), the TyG index as Ln (triglycerides (mg/dL) × fasting glucose (mg/dL)/2), and the TG/HDL ratio as (triglycerides (mg/dL)/HDL-c (mg/dL))., Results: NAFLD ultrasound criteria were met in 70 individuals (26.6%). Subjects with NAFLD had significantly higher values of HOMA-IR (2.55 ± 1.36 vs. 1.51 ± 0.91), TyG (9.17 ± 0.53 vs. 8.7 ± 0.51), and TG/HDL (6.6 ± 4.54 vs. 3.52 ± 2.32) compared to those without NAFLD ( p < 0.001). A TyG cutoff point of 8.92 showed an AUC of 0.731, while cutoff points of 3.83 for TG/HDL and 1.68 for HOMA-IR showed an AUC of 0.766 and 0.781, respectively., Conclusion: Our study shows that novel and lower-cost markers of IR are useful for detecting NALFD, with a performance comparable to the HOMA-IR index. These markers should be used as the first step when screening patients for NAFLD., Competing Interests: The authors declare that there are no conflicts of interest., (Copyright © 2022 Maritza Pérez-Mayorga et al.)
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- 2022
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11. Immunomodulatory effect of a very-low-calorie ketogenic diet compared with bariatric surgery and a low-calorie diet in patients with excessive body weight.
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Lorenzo PM, Sajoux I, Izquierdo AG, Gomez-Arbelaez D, Zulet MA, Abete I, Castro AI, Baltar J, Portillo MP, Tinahones FJ, Martinez JA, Casanueva FF, and Crujeiras AB
- Subjects
- Biomarkers, Caloric Restriction, Carcinogenesis, Cytokines, Diet, Reducing, Humans, Lipid Peroxides, Obesity surgery, Weight Gain, Weight Loss, Bariatric Surgery, Diet, Ketogenic adverse effects, Ketosis
- Abstract
Background & Aim: Inflammation and oxidative stress are the most probable mechanistic link between obesity and its co-diseases with cancer among them. The aim of this study was to evaluate whether the nutritional ketosis and weight loss induced by a very-low-calorie ketogenic diet (VLCKD) modulates the inflammatory and oxidative stress profile, compared with a standard, balanced hypocaloric diet (LCD) or bariatric surgery (BS) in patients with obesity., Methods: The study was performed in 79 patients with overweight or obesity and 32 normal-weight volunteers as the control group. Patients with obesity underwent a weight reduction therapy based on VLCKD, LCD or BS. The quantification of the circulating levels of a multiplexing test of cytokines and carcinogenesis/aging biomarkers, as well as of lipid peroxides and total antioxidant power, was carried out., Results: First, we observed that pro-inflammatory cytokines increase, while anti-inflammatory cytokines decrease under excessive body weight. Relevantly, when patients underwent weight loss strategies, it was shown that energy-restricted and surgical strategies of weight loss induced changes in circulating cytokine and lipid peroxides. This effect was more notable in patients following the VLCKD than the LCD or BS and it was observed mainly in the ketosis phase of the intervention. Particularly, IL-11, IL-12, IL-2, INF-γ, INF-β, Pentraxin-3 or MMP1 changed after VLCKD. Whereas, APRIL, TWEAK, osteocalcin and IL-28A increased after BS., Conclusion: As far as we know, this is the first study that evaluate the time-course of cytokines and oxidative stress markers after a VLCKD as compared with a standard LCD and BS. The observed results support the immunomodulatory effect of nutritional ketosis induced by a VLCKD synergistically with weight loss as a strategy to improve innate-immunity and to prevent infections and carcinogenesis in patients with obesity., Competing Interests: Conflict of Interest D. G-A., A.I.C., A.B.C. and F.F.C. received advisory board fees and/or research grants from Pronokal Protein Supplies, Spain. I.S. is the Medical Director of Pronokal, Spain., (Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
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- 2022
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12. The prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone.
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Lopez-Lopez JP, Cohen DD, Ney-Salazar D, Martinez D, Otero J, Gomez-Arbelaez D, Camacho PA, Sanchez-Vallejo G, Arcos E, Narvaez C, Garcia H, Perez M, Molina DI, Cure C, Sotomayor A, Rico Á, Hernandez-Triana E, Duran M, Cotes F, Leong DP, Rangarajan S, Yusuf S, and Lopez-Jaramillo P
- Subjects
- Adult, Cardiometabolic Risk Factors, Colombia epidemiology, Cross-Sectional Studies, Databases, Factual, Female, Health Status, Humans, Male, Metabolic Syndrome epidemiology, Metabolic Syndrome physiopathology, Middle Aged, Obesity, Abdominal epidemiology, Obesity, Abdominal physiopathology, Predictive Value of Tests, Prevalence, Risk Assessment, Adiposity, Hand Strength, Metabolic Syndrome diagnosis, Muscle, Skeletal physiopathology, Obesity, Abdominal diagnosis, Waist Circumference
- Abstract
Background: Adiposity is a major component of the metabolic syndrome (MetS), low muscle strength has also been identified as a risk factor for MetS and for cardiovascular disease. We describe the prevalence of MetS and evaluate the relationship between muscle strength, anthropometric measures of adiposity, and associations with the cluster of the components of MetS, in a middle-income country., Methods: MetS was defined by the International Diabetes Federation criteria. To assess the association between anthropometric variables (waist circumference (WC), waist-to-hip ratio (W/H), body mass index (BMI)), strength (handgrip/kg bodyweight (HGS/BW)) and the cluster of MetS, we created a MetS score. For each alteration (high triglycerides, low HDLc, dysglycemia, or high blood pressure) one point was conferred. To evaluate the association an index of fat:muscle and MetS score, participants were divided into 9 groups based on combinations of sex-specific tertiles of WC and HGS/BW., Results: The overall prevalence of MetS in the 5,026 participants (64% women; mean age 51.2 years) was 42%. Lower HGS/BW, and higher WC, BMI, and W/H were associated with a higher MetS score. Amongst the 9 HGS/BW:WC groups, participants in the lowest tertile of HGS/BW and the highest tertile of WC had a higher MetS score (OR = 4.69 in women and OR = 8.25 in men;p < 0.01) compared to those in the highest tertile of HGS/BW and in the lowest tertile of WC., Conclusion: WC was the principal risk factor for a high MetS score and an inverse association between HGS/BW and MetS score was found. Combining these anthropometric measures improved the prediction of metabolic alterations over either alone.
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- 2021
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13. Ketogenic diets as treatment of obesity and type 2 diabetes mellitus.
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Casanueva FF, Castellana M, Bellido D, Trimboli P, Castro AI, Sajoux I, Rodriguez-Carnero G, Gomez-Arbelaez D, Crujeiras AB, and Martinez-Olmos MA
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- Caloric Restriction methods, Diabetes Mellitus, Type 2 complications, Diabetes Mellitus, Type 2 epidemiology, Humans, Obesity complications, Obesity epidemiology, Weight Loss physiology, Diabetes Mellitus, Type 2 diet therapy, Diet, Ketogenic methods, Obesity diet therapy
- Abstract
During the last decades, several interventions for the management of overweight and obesity have been proposed. Among diets, the first studies focused on the effect of water only and total fasting diets with or without proteins. Unfortunately, they were found to be associated with adverse events which lead to the abandon of these strategies. Interestingly, despite the radical approach, total fasting was effective and generally well tolerated. A strict connection between protein-calorie malnutrition and increased in morbidity and mortality in hospitalized patients was found at that time. Then, the seminal works of Blackburn and his collaborators lead to the introduction of the protein-sparing modified fast. Encouraged by the early results using this intervention, diets evolved to the current very-low-calorie ketogenic diets (VLCKD). In the present review, results of studies on the VLCKDs are presented and discussed, with a particular reference to the protocolled VLCKD. Also, a recent proposal on the nomenclature on the ketogenic diets is reported. Available evidence suggests VLCKDs to be effective in achieving a rapid and significant weight loss by means of an easily reversible intervention which could be repeated, if needed. Muscle mass and strength are preserved, resting metabolic rate is not impaired, hunger, appetite and mood are not worsened. Symptoms and abnormal laboratory findings can be there, but they have generally been reported as of mild intensity and transient. Preliminary studies suggest VLCKDs to be a potential game-changer in the management of type 2 diabetes too. Therefore, VLCKDs should be considered as an excellent initial step in properly selected and motivated patients with obesity or type 2 diabetes, to be delivered as a part of a multicomponent strategy and under strict medical supervision.
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- 2020
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14. COVID-19-Related Aortic Thrombosis: A Report of Four Cases.
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Gomez-Arbelaez D, Ibarra-Sanchez G, Garcia-Gutierrez A, Comanges-Yeboles A, Ansuategui-Vicente M, and Gonzalez-Fajardo JA
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- Aged, Aortic Diseases diagnosis, Aortic Diseases drug therapy, COVID-19, Coronavirus Infections epidemiology, Female, Humans, Male, Middle Aged, Pandemics, Pneumonia, Viral epidemiology, SARS-CoV-2, Thrombosis diagnosis, Thrombosis drug therapy, Tomography, X-Ray Computed, Anticoagulants therapeutic use, Aortic Diseases etiology, Betacoronavirus, Coronavirus Infections complications, Pneumonia, Viral complications, Thrombolytic Therapy methods, Thrombosis etiology
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COVID-19 may predispose patients to an increased risk of thrombotic complications through various pathophysiological mechanisms. Most of the reports on a high incidence of thrombotic complications are in relation to deep vein thrombosis and pulmonary embolism, while the evidence about arterial thrombosis in patients with COVID-19 is limited. We describe 4 cases of aortic thrombosis and associated ischemic complications in patients with severe SARS-CoV-2 infection., (Copyright © 2020 Elsevier Inc. All rights reserved.)
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- 2020
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15. Self-Reported Prevalence of Chronic Non-Communicable Diseases in Relation to Socioeconomic and Educational Factors in Colombia: A Community-Based Study in 11 Departments.
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Camacho PA, Gomez-Arbelaez D, Otero J, González-Gómez S, Molina DI, Sanchez G, Arcos E, Narvaez C, García H, Pérez M, Hernandez-Triana E, Duran M, Cure C, Sotomayor A, Rico A, Cotes F, Rangarajan S, Yusuf S, and López-Jaramillo P
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- Adult, Aged, Chronic Disease, Colombia epidemiology, Cross-Sectional Studies, Educational Status, Female, Humans, Male, Middle Aged, Noncommunicable Diseases economics, Prevalence, Prospective Studies, Risk Factors, Socioeconomic Factors, Noncommunicable Diseases epidemiology, Self Report
- Abstract
Background: Chronic non-communicable diseases are prevalent conditions in developing countries, such as Colombia. Several socioeconomic and educational factors have been associated with these pathologies. However, there is little country-specific information regarding the self-reported prevalence of chronic diseases and their association with the aforementioned factors in Colombia., Objectives: To evaluate the current situation of chronic non-transmissible diseases in Colombia by self-report and to analyze its potential relationship with sociodemographic, economic and educational factors., Methods: This is a cross-sectional baseline sub-analysis from the prospective, standardized collaborative PURE study in Colombia. Participants were recruited between 2005 to 2009, in 11 departments of the country, and included 7,485 subjects of 35 to 70 years old. Questionnaires of self-reported chronic non-communicable diseases, and demographic, socioeconomic and educational variables were applied., Results: Hypertension was the most prevalent chronic condition reported with a prevalence of 22.2% (21.2%-23.1%, 95% CI), followed by diabetes with a prevalence of 5.7% (5.1%-6.2%, 95% CI), asthma 2.7% (2.2%-3.0%, 95% CI), coronary heart disease 2.4% (2.0%-2.7%, 95% CI), stroke and heart failure 1.5% (1.2%-1.8%, 95% CI) each, chronic obstructive pulmonary disease 1.2% (0.6%-1.5%, 95% CI), and cancer 1.2% (1.0%-1.5%, 95% CI). Among the study sample, 23.3% (22.4%-24.3%, 95% CI) reported having one chronic NCDs, and 6.4% (5.9%-7.0%, 95% CI) reported having multiple chronic NCDs. The prevalence of multiple NCDs increased significantly with age, was more common in those from households with higher income, whereas it was significantly lower in persons with high education.The central and central-east regions of the country are those with the higher prevalence of self-reported NCDs., Conclusion: The results of the current study indicate the presence of socioeconomic and educational inequalities in the distribution of chronic NCDs in the Colombian population., Competing Interests: The authors have no competing interests to declare., (Copyright: © 2020 The Author(s).)
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- 2020
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16. Effect of a Very-Low-Calorie Ketogenic Diet on Circulating Myokine Levels Compared with the Effect of Bariatric Surgery or a Low-Calorie Diet in Patients with Obesity.
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Sajoux I, Lorenzo PM, Gomez-Arbelaez D, Zulet MA, Abete I, Castro AI, Baltar J, Portillo MP, Tinahones FJ, Martinez JA, Crujeiras AB, and Casanueva FF
- Subjects
- Adiposity, Biomarkers blood, Case-Control Studies, Female, Humans, Male, Obesity blood, Obesity diagnosis, Obesity physiopathology, Spain, Time Factors, Treatment Outcome, Weight Loss, Bariatric Surgery adverse effects, Caloric Restriction adverse effects, Diet, Ketogenic adverse effects, Fibronectins blood, Interleukin-8 blood, Matrix Metalloproteinase 2 blood, Muscle, Skeletal metabolism, Obesity therapy
- Abstract
: The preservation of muscle mass and muscle function after weight loss therapy is currently a considerable challenge in the fight against obesity. Muscle mass secretes proteins called myokines that have relevant functions in the regulation of metabolism and health. This study was aimed to evaluate whether a very low-calorie ketogenic (VLCK) diet may modulate myokine levels, in addition to changes in body composition, compared to a standard, balanced low-calorie (LC) diet or bariatric surgery in patients with obesity. Body composition, ketosis, insulin sensitivity and myokines were evaluated in 79 patients with overweight/obesity after a therapy to lose weight with a VLCK diet, a LC diet or bariatric surgery. The follow-up was 6 months. The weight loss therapies induced changes in myokine levels in association with changes in body composition and biochemical parameters. The effects on circulating myokine levels compared to those at baseline were stronger after the VLCK diet than LC diet or bariatric surgery. Differences reached statistical significance for IL-8, MMP2 and irisin. In conclusion, nutritional interventions or bariatric surgery to lose weight induces changes in circulating myokine levels, being this effect potentially most notable after following a VLCK diet., Competing Interests: A.B.C. and F.F.C. received advisory board fees and/or research grants from Pronokal Protein Supplies, Spain. I.S. is the Medical Director of Pronokal, Spain..
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- 2019
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17. Effect of A Very Low-Calorie Ketogenic Diet on Food and Alcohol Cravings, Physical and Sexual Activity, Sleep Disturbances, and Quality of Life in Obese Patients.
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Castro AI, Gomez-Arbelaez D, Crujeiras AB, Granero R, Aguera Z, Jimenez-Murcia S, Sajoux I, Lopez-Jaramillo P, Fernandez-Aranda F, and Casanueva FF
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- Adipose Tissue, Adult, Body Mass Index, Caloric Restriction psychology, Diet, Reducing psychology, Energy Intake, Female, Humans, Hunger, Male, Middle Aged, Obesity psychology, Self-Control, Sexual Dysfunctions, Psychological, Sleep Wake Disorders, Weight Loss, Craving, Diet, Ketogenic psychology, Exercise, Obesity diet therapy, Quality of Life, Sexual Behavior, Sleep
- Abstract
Psychological well-being and hunger and food control are two relevant factors involved in the success of weight-loss therapy in treating obesity. Thus, this study aims to evaluate food and alcohol cravings, physical and sexual activity, sleep, and life quality (QoL) in obese patients following a very low-calorie ketogenic (VLCK) diet, as well as the role of weight lost and ketosis on these parameters. A battery of psychological test was performed in twenty obese patients (12 females, 47.2 ± 10.2 year and BMI of 35.5 ± 4.4) through the course of a 4-month VLCK diet on four subsequent visits: baseline, maximum ketosis, reduced ketosis, and endpoint. Each subject acted as their own control. Relevantly, the dietary-induced changes in body composition (7.7 units of BMI lost, 18 kg of fat mass (1.2 kg of visceral fat mass)) were associated with a statistically significant improvement in food craving scores, physical activity, sleepiness, and female sexual function. Overall, these results also translated in a notable enhancement in QoL of the treated obese patients. Therefore, the rapid and sustained weight and fat mass (FM) loss induced by the VLCK diet is associated with good food control and improvements in the psychological well-being parameters in obese subjects, which could contribute to the long-term success of this therapy.
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- 2018
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18. Resting metabolic rate of obese patients under very low calorie ketogenic diet.
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Gomez-Arbelaez D, Crujeiras AB, Castro AI, Martinez-Olmos MA, Canton A, Ordoñez-Mayan L, Sajoux I, Galban C, Bellido D, and Casanueva FF
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Background: The resting metabolic rate (RMR) decrease, observed after an obesity reduction therapy is a determinant of a short-time weight regain. Thus, the objective of this study was to evaluate changes in RMR, and the associated hormonal alterations in obese patients with a very low-calorie ketogenic (VLCK)-diet induced severe body weight (BW) loss., Method: From 20 obese patients who lost 20.2 kg of BW after a 4-months VLCK-diet, blood samples and body composition analysis, determined by DXA and MF-Bioimpedance, and RMR by indirect calorimetry, were obtained on four subsequent visits: visit C-1, basal, initial fat mass (FM) and free fat mass (FFM); visit C-2, - 7.2 kg in FM, - 4.3 kg in FFM, maximal ketosis; visit C-3, - 14.4 kg FM, - 4.5 kg FFM, low ketosis; visit C-4, - 16.5 kg FM, - 3.8 kg FFM, no ketosis. Each subject acted as his own control., Results: Despite the large BW reduction, measured RMR varied from basal visit C-1 to visit C-2, - 1.0%; visit C-3, - 2.4% and visit C-4, - 8.0%, without statistical significance. No metabolic adaptation was observed. The absent reduction in RMR was not due to increased sympathetic tone, as thyroid hormones, catecholamines, and leptin were reduced at any visit from baseline. Under regression analysis FFM, adjusted by levels of ketonic bodies, was the only predictor of the RMR changes (R
2 = 0.36; p < 0.001)., Conclusion: The rapid and sustained weight and FM loss induced by VLCK-diet in obese subjects did not induce the expected reduction in RMR, probably due to the preservation of lean mass., Trial Registration: This is a follow up study on a published clinical trial., Competing Interests: The study protocol was in accordance with the Declaration of Helsinki and was approved by the Ethics Committee for Clinical Research of Galicia, Santiago de Compostela, Spain (registry 2010/119). Participants gave informed consent before any intervention related to the study. Participants received no monetary incentive.Not applicableDB, ABC and FFC received advisory board fees and or research grants from Pronokal Protein Supplies Spain. IS is Medical Director of Pronokal Spain SLSpringer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.- Published
- 2018
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19. Acid-base safety during the course of a very low-calorie-ketogenic diet.
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Gomez-Arbelaez D, Crujeiras AB, Castro AI, Goday A, Mas-Lorenzo A, Bellon A, Tejera C, Bellido D, Galban C, Sajoux I, Lopez-Jaramillo P, and Casanueva FF
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- Acid-Base Imbalance etiology, Adult, Anthropometry, Bicarbonates blood, Blood Gas Analysis, Blood Glucose, Diabetic Ketoacidosis blood, Diet, Reducing, Female, Humans, Hydrogen-Ion Concentration, Ketone Bodies blood, Ketosis blood, Ketosis chemically induced, Male, Middle Aged, Obesity metabolism, Weight Loss, Acid-Base Imbalance metabolism, Caloric Restriction adverse effects, Diet, Ketogenic adverse effects, Obesity diet therapy
- Abstract
Background and Aims: Very low-calorie ketogenic (VLCK) diets have been consistently shown to be an effective obesity treatment, but the current evidence for its acid-base safety is limited. The aim of the current work was to evaluate the acid-base status of obese patients during the course of a VLCK diet., Method: Twenty obese participants undertook a VLCK diet for 4 months. Anthropometric and biochemical parameters, and venous blood gases were obtained on four subsequent visits: visit C-1 (baseline); visit C-2, (1-2 months); maximum ketosis; visit C-3 (2-3 months), ketosis declining; and visit C-4 at 4 months, no ketosis. Results were compared with 51 patients that had an episode of diabetic ketoacidosis as well as with a group that underwent a similar VLCK diet in real life conditions of treatment., Results: Visit C1 blood pH (7.37 ± 0.03); plasma bicarbonate (24.7 ± 2.5 mmol/l); plasma glucose (96.0 ± 11.7 mg/l) as well as anion gap or osmolarity were not statistically modified at four months after a total weight reduction of 20.7 kg in average and were within the normal range throughout the study. Even at the point of maximum ketosis all variables measured were always far from the cut-off points established to diabetic ketoacidosis., Conclusion: During the course of a VLCK diet there were no clinically or statistically significant changes in glucose, blood pH, anion gap and plasma bicarbonate. Hence the VLCK diet can be considered as a safe nutritional intervention for the treatment of obesity in terms of acid-base equilibrium.
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- 2017
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20. Body Composition Changes After Very-Low-Calorie Ketogenic Diet in Obesity Evaluated by 3 Standardized Methods.
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Gomez-Arbelaez D, Bellido D, Castro AI, Ordoñez-Mayan L, Carreira J, Galban C, Martinez-Olmos MA, Crujeiras AB, Sajoux I, and Casanueva FF
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- Absorptiometry, Photon methods, Adipose Tissue pathology, Adolescent, Adult, Aged, Anthropometry methods, Body Water physiology, Electric Impedance, Humans, Ketosis physiopathology, Middle Aged, Muscle Strength physiology, Obesity physiopathology, Plethysmography methods, Prospective Studies, Weight Loss physiology, Young Adult, Body Composition physiology, Caloric Restriction, Diet, Ketogenic, Obesity diet therapy
- Abstract
Context: Common concerns when using low-calorie diets as a treatment for obesity are the reduction in fat-free mass, mostly muscular mass, that occurs together with the fat mass (FM) loss, and determining the best methodologies to evaluate body composition changes., Objective: This study aimed to evaluate the very-low-calorie ketogenic (VLCK) diet-induced changes in body composition of obese patients and to compare 3 different methodologies used to evaluate those changes., Design: Twenty obese patients followed a VLCK diet for 4 months. Body composition assessment was performed by dual-energy X-ray absorptiometry (DXA), multifrequency bioelectrical impedance (MF-BIA), and air displacement plethysmography (ADP) techniques. Muscular strength was also assessed. Measurements were performed at 4 points matched with the ketotic phases (basal, maximum ketosis, ketosis declining, and out of ketosis)., Results: After 4 months the VLCK diet induced a -20.2 ± 4.5 kg weight loss, at expenses of reductions in fat mass (FM) of -16.5 ± 5.1 kg (DXA), -18.2 ± 5.8 kg (MF-BIA), and -17.7 ± 9.9 kg (ADP). A substantial decrease was also observed in the visceral FM. The mild but marked reduction in fat-free mass occurred at maximum ketosis, primarily as a result of changes in total body water, and was recovered thereafter. No changes in muscle strength were observed. A strong correlation was evidenced between the 3 methods of assessing body composition., Conclusion: The VLCK diet-induced weight loss was mainly at the expense of FM and visceral mass; muscle mass and strength were preserved. Of the 3 body composition techniques used, the MF-BIA method seems more convenient in the clinical setting., (Copyright © 2017 by the Endocrine Society)
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- 2017
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21. Social disparities explain differences in hypertension prevalence, detection and control in Colombia.
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Camacho PA, Gomez-Arbelaez D, Molina DI, Sanchez G, Arcos E, Narvaez C, García H, Pérez M, Hernandez EA, Duran M, Cure C, Sotomayor A, Rico A, David TM, Cohen DD, Rangarajan S, Yusuf S, and Lopez-Jaramillo P
- Subjects
- Adult, Age Factors, Aged, Body Mass Index, Colombia epidemiology, Drug Therapy, Combination statistics & numerical data, Educational Status, Female, Humans, Hypertension diagnosis, Income, Male, Middle Aged, Prevalence, Prospective Studies, Risk Factors, Rural Population statistics & numerical data, Sex Factors, Urban Population statistics & numerical data, Waist-Hip Ratio, Health Knowledge, Attitudes, Practice, Health Status Disparities, Hypertension drug therapy, Hypertension epidemiology
- Abstract
Objective: Hypertension is the principal risk factor for cardiovascular diseases. The global Prospective Urban Rural Epidemiology study showed that the levels of awareness, treatment and control of this condition are very low worldwide and show large regional variations related to a country's income index. The aim of the present analysis was to identify associations between sociodemographic, geographic, anthropometric, behavioral and clinical factors and the awareness, treatment and control of hypertension within Colombia - a high-middle income country which participated in the global Prospective Urban Rural Epidemiology study., Methods and Results: The sample comprised 7485 individuals aged 35-70 years (mean age 50.8 years, 64% women). Mean SBP and DBP were 129.12 ± 21.23 and 80.39 ± 11.81 mmHg, respectively. The overall prevalence of hypertension was 37.5% and was substantially higher amongst participants with the lowest educational level, who had a 25% higher prevalence (<0.001). Hypertension awareness, treatment amongst those aware, and control amongst those treated were 51.9, 77.5 and 37.1%, respectively. The prevalence of hypertension was higher amongst those with a higher BMI (<0.001) or larger waist-hip ratio (<0.001). Being male, younger, a rural resident and having a low level of education was associated with significantly lower hypertension awareness, treatment and control. The use of combination therapy was very low (27.5%) and was significantly lower in rural areas and amongst those with a low income., Conclusion: Overall Colombia has a high prevalence of hypertension in combination with very low levels of awareness, treatment and control; however, we found large variations within the country that appear to be associated with sociodemographic disparities.
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- 2016
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22. Neck circumference as a predictor of metabolic syndrome, insulin resistance and low-grade systemic inflammation in children: the ACFIES study.
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Gomez-Arbelaez D, Camacho PA, Cohen DD, Saavedra-Cortes S, Lopez-Lopez C, and Lopez-Jaramillo P
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- Adolescent, Biomarkers blood, Blood Glucose metabolism, C-Reactive Protein metabolism, Child, Colombia, Cross-Sectional Studies, Female, Humans, Inflammation blood, Inflammation etiology, Insulin blood, Insulin Resistance, Linear Models, Male, Metabolic Syndrome blood, Metabolic Syndrome etiology, ROC Curve, Risk Factors, Triglycerides blood, Inflammation diagnosis, Metabolic Syndrome diagnosis, Neck anatomy & histology
- Abstract
Background: The current study aims to evaluate the association between neck circumference (NC) and several cardio-metabolic risk factors, to compare it with well-established anthropometric indices, and to determine the cut-off point value of NC for predicting children at increased risk of metabolic syndrome, insulin resistance and low-grade systemic inflammation., Methods: A total of 669 school children, aged 8-14, were recruited. Demographic, clinical, anthropometric and biochemical data from all patients were collected. Correlations between cardio-metabolic risk factors and NC and other anthropometric variables were evaluated using the Spearman's correlation coefficient. Multiple linear regression analysis was applied to further examine these associations. We then determined by receiver operating characteristic (ROC) analyses the optimal cut-off for NC for identifying children with elevated cardio-metabolic risk., Results: NC was positively associated with fasting plasma glucose and triglycerides (p = 0.001 for all), and systolic and diastolic blood pressure, C-reactive protein, insulin and HOMA-IR (p < 0.001 for all), and negatively with HDL-C (p = 0.001). Whereas, other anthropometric indices were associated with fewer risk factors., Conclusions: NC could be used as clinically relevant and easy to implement indicator of cardio-metabolic risk in children.
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- 2016
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23. [Hyperglycaemia is associated with worse outcomes in Latin-American individuals with acute myocardial infarction].
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Gomez-Arbelaez D, Sánchez-Vallejo G, Perez M, Garcia RG, Arguello JF, Peñaherrera E, Duarte YC, Casanova ME, Accini JL, Sotomayor A, Camacho PA, and Lopez-Jaramillo P
- Subjects
- Aged, Cohort Studies, Colombia epidemiology, Diabetes Mellitus, Type 2 epidemiology, Ecuador epidemiology, Female, Follow-Up Studies, Heart Failure epidemiology, Hospitalization statistics & numerical data, Humans, Hyperglycemia epidemiology, Length of Stay, Male, Middle Aged, Myocardial Infarction epidemiology, Prediabetic State epidemiology, Prognosis, Prospective Studies, Risk Factors, Time Factors, Diabetes Mellitus, Type 2 complications, Hyperglycemia complications, Myocardial Infarction complications, Prediabetic State complications
- Abstract
Background: Alterations in glucose metabolism have been reported as risk and poor prognostic factors for acute myocardial infarction (AMI); however in Latin-American population this information is limited. Thus, an evaluation was performed on the association between glycaemic status and short- and long-term outcomes in patients with a first AMI., Methods: A multicentre, prospective, observational, cohort study was conducted in 8 hospitals from Colombia and Ecuador., Results: A total of 439 patients with confirmed AMI were included, of which 305 (69.5%) had prediabetes or type2 diabetes mellitus (DM2). Compared with normal glycaemia group, patients with known DM2 had greater risk of prolonged hospital stay (HR: 2.60, 95%CI: 1.38-4.92, P=.003), Killip class iii/iv (HR: 9.46, 95%CI: 2.20-40.62, P=.002), and in-hospital heart failure (HR: 10.76, 95%CI: 3.37-34.31, P<.001). Patients with prediabetes, new DM2, and known DM2 showed higher rates of major adverse cardiovascular events after 3years follow-up., Conclusion: Glucose metabolism abnormalities have an important significance in the short- and long-term prognosis in Latin-American patients that survive a first AMI., (Copyright © 2015 Sociedad Española de Arteriosclerosis. Published by Elsevier España. All rights reserved.)
- Published
- 2016
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24. Evaluation of the Finnish Diabetes Risk Score to predict type 2 diabetes mellitus in a Colombian population: A longitudinal observational study.
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Gomez-Arbelaez D, Alvarado-Jurado L, Ayala-Castillo M, Forero-Naranjo L, Camacho PA, and Lopez-Jaramillo P
- Abstract
Aim: To assess the performance of the Finnish Diabetes Risk Score (FINDRISC) questionnaire for detecting and predicting type 2 diabetes mellitus (DM2) in a Colombian population., Methods: This is a longitudinal observational study conducted in Floridablanca, Colombia. Adult subjects (age ≥ 35 years) without known diabetes, were included. A modified version of FINDRISC was completed, and the glycemia values from all the subjects were collected from the hospital's database. Firstly, a cross-sectional analysis was performed and then, the subsample of prediabetic participants was followed for diabetes incidence., Results: A total of 772 subjects were suitable for the study. The overall prevalence of undiagnosed DM2 was 2.59%, and the incidence of DM2 among the prediabetic participants was 7.5 per 100 person-years after a total of 265257 person-years follow-up. The FINDRISC at baseline was significantly associated with undiagnosed and incident DM2. The area under receiver operating characteristics curve of the FINDRISC score for detecting undiagnosed DM2 in both men and women was 0.7477 and 0.7175, respectively; and for predicting the incidence of DM2 among prediabetics was 71.99% in men and 67.74% in women., Conclusion: The FINDRISC questionnaire is a useful screening tool to identify cross-sectionally unknown DM2 and to predict the incidence of DM2 among prediabetics in the Colombian population.
- Published
- 2015
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25. Maternal undernutrition and cardiometabolic disease: a Latin American perspective.
- Author
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Lopez-Jaramillo P, Gomez-Arbelaez D, Sotomayor-Rubio A, Mantilla-Garcia D, and Lopez-Lopez J
- Subjects
- Developing Countries, Epigenesis, Genetic, Female, Humans, Infant, Newborn, Latin America, Life Style, Pregnancy, Prevalence, United States, Cardiovascular Diseases epidemiology, Cardiovascular Diseases etiology, Malnutrition complications, Obesity epidemiology, Obesity etiology, Prenatal Exposure Delayed Effects
- Abstract
The current epidemic of obesity and cardiometabolic diseases in developing countries is described as being driven by socioeconomic inequalities. These populations have a greater vulnerability to cardiometabolic diseases due to the discrepancy between the maternal undernutrition and its consequence, low-birth weight progeny, and the subsequent modern lifestyles which are associated with socioeconomic and environmental changes that modify dietary habits, discourage physical activity and encourage sedentary behaviors. Maternal undernutrition can generate epigenetic modifications, with potential long-term consequences. Throughout life, people are faced with the challenge of adapting to changes in their environment, such as excessive intake of high energy density foods and sedentary behavior. However, a mismatch between conditions experienced during fetal programming and current environmental conditions will make adaptation difficult for them, and will increase their susceptibility to obesity and cardiovascular diseases. It is important to conduct research in the Latin American context, in order to define the best strategies to prevent the epidemic of cardiometabolic diseases in the region.
- Published
- 2015
- Full Text
- View/download PDF
26. The Link between Fetal Programming, Inflammation, Muscular Strength, and Blood Pressure.
- Author
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Lopez-Lopez J, Lopez-Jaramillo P, Camacho PA, Gomez-Arbelaez D, and Cohen DD
- Subjects
- Adipocytes cytology, Adiposity, Adult, Cardiovascular Diseases pathology, Child, Female, Humans, Hypertension physiopathology, Insulin Resistance, Life Style, Male, Metabolic Diseases, Obesity etiology, Pregnancy, Prenatal Exposure Delayed Effects, Risk Factors, Blood Pressure, Fetal Development physiology, Inflammation pathology, Muscle, Skeletal pathology
- Abstract
Hypertension affects one billion individuals worldwide and is considered the leading cause of cardiovascular death, stroke, and myocardial infarction. This increase in the burden of hypertension and cardiovascular diseases (CVD) is principally driven by lifestyle changes such as increased hypercaloric diets and reduced physical activity producing an increase of obesity, insulin resistance, and low-grade inflammation. Visceral adipocytes are the principal source of proinflammatory cytokines and systemic inflammation participates in several steps in the development of CVD. However, maternal and infant malnutrition also persists as a major public health issue in low- to middle-income regions such as Latin America (LA). We propose that the increased rates of cardiovascular and metabolic diseases in these countries could be the result of the discrepancy between a restricted nutritional environment during fetal development and early life, and a nutritionally abundant environment during adulthood. Maternal undernutrition, which may manifest in lower birth weight offspring, appears to accentuate the relative risk of chronic disease at lower levels of adiposity. Therefore, LA populations may be more vulnerable to the pathogenic consequences of obesity than individuals with similar lifestyles in high-income countries, which may be mediated by higher levels of proinflammatory markers and lower levels of muscle mass and strength observed in low birth weight individuals.
- Published
- 2015
- Full Text
- View/download PDF
27. A novel method to evaluate the community built environment using photographs--Environmental Profile of a Community Health (EPOCH) photo neighbourhood evaluation tool.
- Author
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Chow CK, Corsi DJ, Lock K, Madhavan M, Mackie P, Li W, Yi S, Wang Y, Swaminathan S, Lopez-Jaramillo P, Gomez-Arbelaez D, Avezum Á, Lear SA, Dagenais G, Teo K, McKee M, and Yusuf S
- Subjects
- Environment Design, Humans, Residence Characteristics, Social Environment, Surveys and Questionnaires, Walking, Public Health
- Abstract
Background: Previous research has shown that environments with features that encourage walking are associated with increased physical activity. Existing methods to assess the built environment using geographical information systems (GIS) data, direct audit or large surveys of the residents face constraints, such as data availability and comparability, when used to study communities in countries in diverse parts of the world. The aim of this study was to develop a method to evaluate features of the built environment of communities using a standard set of photos. In this report we describe the method of photo collection, photo analysis instrument development and inter-rater reliability of the instrument., Methods/principal Findings: A minimum of 5 photos were taken per community in 86 communities in 5 countries according to a standard set of instructions from a designated central point of each community by researchers at each site. A standard pro forma derived from reviewing existing instruments to assess the built environment was developed and used to score the characteristics of each community. Photo sets from each community were assessed independently by three observers in the central research office according to the pro forma and the inter-rater reliability was compared by intra-class correlation (ICC). Overall 87% (53 of 60) items had an ICC of ≥ 0.70, 7% (4 of 60) had an ICC between 0.60 and 0.70 and 5% (3 of 60) items had an ICC ≤ 0.50., Conclusions/significance: Analysis of photos using a standardized protocol as described in this study offers a means to obtain reliable and reproducible information on the built environment in communities in very diverse locations around the world. The collection of the photographic data required minimal training and the analysis demonstrated high reliability for the majority of items of interest.
- Published
- 2014
- Full Text
- View/download PDF
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