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2. 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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7. Health-related quality of life in older patients surviving ICU treatment for COVID-19: results from an international observational study of patients older than 70 years

Author

Soliman, Ivo, Leaver, Susannah, Flaatten, Hans, Fjølner, Jesper, Wernly, Bernhard, Bruno, Raphael, Artigas, Antonio, Bollen Pinto, Bernardo, Schefold, Joerg, Beil, Michael, Sviri, Sigal, van Heerden, Peter Vernon, Szczeklik, Wojciech, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Zafeiridis, Tilemachos, Wollborn, Jakob, Banzo, Maria Jose Arche, Fuest, Kristina, Marsh, Brian, Andersen, Finn, Moreno, Rui, Boumendil, Ariane, Guidet, Bertrand, Jung, Christian, de Lange, Dylan, Eller, Philipp, Mesotten, Dieter, Reper, Pascal, Swinnen, Walter, Brix, Helene, Brushoej, Jens, Villefrance, Maja, Nedergaard, Helene Korvenius, Bjerregaard, Anders Thais, Balleby, Ida Riise, Andersen, Kasper, Hansen, Maria Aagaard, Uhrenholt, Stine, Bundgaard, Helle, Mohamed, Aliae Ar Hussein, Salah, Rehab, Ali, Yasmin Khairy Nasreldin Mohamed, Wassim, Kyrillos, Elgazzar, Yumna, Tharwat, Samar, Azzam, Ahmed, Habib, Ayman Abdelmawgoad, Abosheaishaa, Hazem Maarouf, Azab, Mohammed, Galbois, Arnaud, Charron, Cyril, Guerot, Emmanuel, Besch, Guillaume, Rigaud, Jean-Philippe, Maizel, Julien, Djibré, Michel, Burtin, Philippe, Garcon, Pierre, Nseir, Saad, Valette, Xavier, Alexandru, Nica, Marin, Nathalie, Vaissiere, Marie, Plantefeve, Gaëtan, Vanderlinden, Thierry, Jurcisin, Igor, Megarbane, Bruno, Caillard, Anais, Valent, Arnaud, Garnier, Marc, Besset, Sebastien, Oziel, Johanna, Raphaelen, Jean-Herlé, Dauger, Stéphane, Dumas, Guillaume, Goncalves, Bruno, Piton, Gaël, Bruno, Raphael Romano, Kelm, Malte, Wolff, Georg, Barth, Eberhard, Goebel, Ulrich, Kunstein, Anselm, Schuster, Michael, Welte, Martin, Lutz, Matthias, Meybohm, Patrick, Steiner, Stephan, Poerner, Tudor, Haake, Hendrik, Schaller, Stefan, Kindgen-Milles, Detlef, Meyer, Christian, Kurt, Muhammed, Kuhn, Karl Friedrich, Randerath, Winfried, Dindane, Zouhir, Kabitz, Hans-Joachim, Voigt, Ingo, Shala, Gonxhe, Faltlhauser, Andreas, Rovina, Nikoletta, Aidoni, Zoi, Chrisanthopoulou, Evangelia, Papadogoulas, Antonios, Gurjar, Mohan, Mahmoodpoor, Ata, Ahmed, Abdullah Khudhur, Elsaka, Ahmed, Comellini, Vittoria, Rabha, Ahmed, Ahmed, Hazem, Namendys-Silva, Silvio, Ghannam, Abdelilah, Groenendijk, Martijn, Zegers, Marieke, Cornet, Alex, Evers, Mirjam, Haas, Lenneke, Dormans, Tom, Dieperink, Willem, Romundstad, Luis, Sjøbø, Britt, Strietzel, Hans Frank, Olasveengen, Theresa, Hahn, Michael, Czuczwar, Miroslaw, Gawda, Ryszard, Klimkiewicz, Jakub, de Lurdessantos, Maria Campos, Gordinho, André, Santos, Henrique, Assis, Rui, Oliveira, Ana Isabel Pinho, Badawy, Mohamed Raafat, Perez-Torres, David, Gomà, Gemma, Villamayor, Mercedes Ibarz, Mira, Angela Prado, Cubero, Patricia Jimeno, Rivera, Susana Arias, Tomasa, Teresa, Iglesias, David, Vázquez, Eric Mayor, Aldecoa, Cesar, Ferreira, Aida Fernández, Zalba-Etayo, Begoña, Canas-Perez, Isabel, Tamayo-Lomas, Luis, Diaz-Rodriguez, Cristina, Sancho, Susana, Priego, Jesús, Abualqumboz, Enas, Hilles, Momin Majed Yousuf, Saleh, Mahmoud, Ben-Hamouda, Nawfel, Roberti, Andrea, Dullenkopf, Alexander, Fleury, Yvan, Pinto, Bernardo Bollen, Al-Sadawi, Mohammed, Serck, Nicolas, Dewaele, Elisabeth, Kumar, Pritpal, Bundesen, Camilla, Innes, Richard, Gooch, James, Cagova, Lenka, Potter, Elizabeth, Reay, Michael, Davey, Miriam, Humphreys, Sally, Berlemont, Caroline Hauw, Chousterman, Benjamin Glenn, Dépret, François, Ferre, Alexis, Vettoretti, Lucie, Thevenin, Didier, Milovanovic, Milena, Simon, Philipp, Lorenz, Marco, Stoll, Sandra Emily, Dubler, Simon, Mulita, Francesk, Kondili, Eumorifa, Andrianopoulos, Ioannis, Meynaar, Iwan, Cornet, Alexander Daniel, Sjøbøe, Britt, Kluzik, Anna, Zatorski, Paweł, Drygalski, Tomasz, Solek-Pastuszka, Joanna, Onichimowski, Dariusz, Stefaniak, Jan, Stefanska-Wronka, Karina, Zabul, Ewa, Cardoso, Filipe Sousa, Banzo, Maria José Arche, Tomasa-Irriguible, Teresa Maria, Mira, Ángela Prado, Arias-Rivera, Susana, Frutos-Vivar, Fernando, Lopez-Cuenca, Sonia, de Gopegui, Pablo Ruiz, Abidi, Nour, Chau, Ivan, Pugh, Richard, Smuts, Sara, Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Service de Réanimation Médicale [CHU Saint-Antoine], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Saint-Antoine [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Mécanismes physiopathologiques et conséquences des calcifications vasculaires - UR UPJV 7517 (MP3CV), Université de Picardie Jules Verne (UPJV)-CHU Amiens-Picardie, Optimisation thérapeutique en Neuropsychopharmacologie (OPTeN (UMR_S_1144 / U1144)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Bouchard, Mélanie, Critical care, Anesthesiology, Peri-operative and Emergency medicine (CAPE), COVIP-study group, Eller, P., Joannidis, M., Mesotten, D., Reper, P., Oeyen, S., Swinnen, W., Brix, H., Brushoej, J., Villefrance, M., Nedergaard, H.K., Bjerregaard, A.T., Balleby, I.R., Andersen, K., Hansen, M.A., Uhrenholt, S., Bundgaard, H., Fjølner, J., Mohamed, AAH, Salah, R., Ali, YKNM, Wassim, K., Elgazzar, Y.A., Tharwat, S., Azzam, A.Y., Habib, A.A., Abosheaishaa, H.M., Azab, M.A., Leaver, S., Galbois, A., Guidet, B., Charron, C., Guerot, E., Besch, G., Rigaud, J.P., Maizel, J., Djibré, M., Burtin, P., Garcon, P., Nseir, S., Valette, X., Alexandru, N., Marin, N., Vaissiere, M., Plantefeve, G., Vanderlinden, T., Jurcisin, I., Megarbane, B., Caillard, A., Valent, A., Garnier, M., Besset, S., Oziel, J., Raphaelen, J.H., Dauger, S., Dumas, G., Goncalves, B., Piton, G., Jung, C., Bruno, R.R., Kelm, M., Wolff, G., Barth, E., Goebel, U., Kunstein, A., Schuster, M., Welte, M., Lutz, M., Meybohm, P., Steiner, S., Poerner, T., Haake, H., Schaller, S., Kindgen-Milles, D., Meyer, C., Kurt, M., Kuhn, K.F., Randerath, W., Wollborn, J., Dindane, Z., Kabitz, H.J., Voigt, I., Shala, G., Faltlhauser, A., Rovina, N., Aidoni, Z., Chrisanthopoulou, E., Papadogoulas, A., Gurjar, M., Mahmoodpoor, A., Ahmed, A.K., Marsh, B., Elsaka, A., Sviri, S., Comellini, V., Rabha, A., Ahmed, H., Namendys-Silva, S.A., Ghannam, A., Groenendijk, M., Zegers, M., de Lange, D., Cornet, A., Evers, M., Haas, L., Dormans, T., Dieperink, W., Romundstad, L., Sjøbø, B., Andersen, F.H., Strietzel, H.F., Olasveengen, T., Hahn, M., Czuczwar, M., Gawda, R., Klimkiewicz, J., de LurdesSantos, M.C., Gordinho, A., Santos, H., Assis, R., Oliveira, AIP, Badawy, M.R., Perez-Torres, D., Gomà, G., Villamayor, M.I., Mira, A.P., Cubero, P.J., Rivera, S.A., Tomasa, T., Iglesias, D., Vázquez, E.M., Aldecoa, C., Ferreira, A.F., Zalba-Etayo, B., Canas-Perez, I., Tamayo-Lomas, L., Diaz-Rodriguez, C., Sancho, S., Priego, J., Abualqumboz, EMY, Hilles, MMY, Saleh, M., Ben-HAmouda, N., Roberti, A., Dullenkopf, A., Fleury, Y., Pinto, B.B., Schefold, J.C., Al-Sadawi, M., Serck, N., Dewaele, E., Kumar, P., Bundesen, C., Innes, R., Gooch, J., Cagova, L., Potter, E., Reay, M., Davey, M., Humphreys, S., Berlemont, C.H., Chousterman, B.G., Dépret, F., Ferre, A., Vettoretti, L., Thevenin, D., Milovanovic, M., Simon, P., Lorenz, M., Stoll, S.E., Dubler, S., Fuest, K., Mulita, F., Kondili, E., Andrianopoulos, I., Meynaar, I., Cornet, A.D., Sjøbøe, B., Kluzik, A., Zatorski, P., Drygalski, T., Szczeklik, W., Solek-Pastuszka, J., Onichimowski, D., Stefaniak, J., Stefanska-Wronka, K., Zabul, E., Cardoso, F.S., Banzo, MJA, Tomasa-Irriguible, T.M., Mira, Á.P., Arias-Rivera, S., Frutos-Vivar, F., Lopez-Cuenca, S., de Gopegui, P.R., Abidi, N., Chau, I., Pugh, R., and Smuts, S.

Subjects
Aging, Activities of Daily Living, Aged, COVID-19, Humans, Intensive Care Units, Prospective Studies, Quality of Life, SARS-CoV-2, Intensive Care Unit (ICU), Older people, Survival, frailty, [SDV]Life Sciences [q-bio], SOCIETY, 610 Medicine & health, General Medicine, INTENSIVE-CARE, humanities, Healthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18], [SDV] Life Sciences [q-bio], Medicine and Health Sciences, Geriatrics and Gerontology
Abstract

Background health-related quality of life (HRQoL) is an important patient-centred outcome in patients surviving ICU admission for COVID-19. It is currently not clear which domains of the HRQoL are most affected. Objective to quantify HRQoL in order to identify areas of interventions. Design prospective observation study. Setting admissions to European ICUs between March 2020 and February 2021. Subjects patients aged 70 years or older admitted with COVID-19 disease. Methods collected determinants include SOFA-score, Clinical Frailty Scale (CFS), number and timing of ICU procedures and limitation of care, Katz Activities of Daily Living (ADL) dependence score. HRQoL was assessed at 3 months after ICU admission with the Euro-QoL-5D-5L questionnaire. An outcome of ≥4 on any of Euro-QoL-5D-5L domains was considered unfavourable. Results in total 3,140 patients from 14 European countries were included in this study. Three months after inclusion, 1,224 patients (39.0%) were alive and the EQ-5D-5L from was obtained. The CFS was associated with an increased odds ratio for an unfavourable HRQoL outcome after 3 months; OR 1.15 (95% confidence interval (CI): 0.71–1.87) for CFS 2 to OR 4.33 (95% CI: 1.57–11.9) for CFS ≧ 7. The Katz ADL was not statistically significantly associated with HRQoL after 3 months. Conclusions in critically ill old intensive care patients suffering from COVID-19, the CFS is associated with the subjectively perceived quality of life. The CFS on admission can be used to inform patients and relatives on the risk of an unfavourable qualitative outcome if such patients survive.

Published
2022

8. Noninvasive ventilation in COVID-19 patients aged ≥ 70 years—a prospective multicentre cohort study

Author

Polok, Kamil, Fronczek, Jakub, Artigas, Antonio, Flaatten, Hans, Guidet, Bertrand, De Lange, Dylan W., Fjølner, Jesper, Leaver, Susannah, Beil, Michael, Sviri, Sigal, Bruno, Raphael Romano, Wernly, Bernhard, Bollen Pinto, Bernardo, Schefold, Joerg C., Studzińska, Dorota, Joannidis, Michael, Oeyen, Sandra, Marsh, Brian, Andersen, Finn H., Moreno, Rui, Cecconi, Maurizio, Jung, Christian, Szczeklik, Wojciech, Eller, Philipp, Mesotten, Dieter, Reper, Pascal, Swinnen, Walter, Brix, Helene, Brushoej, Jens, Villefrance, Maja, Nedergaard, Helene Korvenius, Bjerregaard, Anders Thais, Balleby, Ida Riise, Andersen, Kasper, Hansen, Maria Aagaard, Uhrenholt, Stine, Bundgaard, Helle, Hussein, Aliae A. R. Mohamed, Salah, Rehab, Ali, Yasmin Khairy NasrEldin Mohamed, Wassim, Kyrillos, Elgazzar, Yumna A., Tharwat, Samar, Azzam, Ahmed Y., habib, Ayman abdelmawgoad, Abosheaishaa, Hazem Maarouf, Azab, Mohammed A., Galbois, Arnaud, Charron, Cyril, Guerot, Emmanuel, Besch, Guillaume, Rigaud, Jean-Philippe, Maizel, Julien, Djibré, Michel, Burtin, Philippe, Garcon, Pierre, Nseir, Saad, Valette, Xavier, Alexandru, Nica, Marin, Nathalie, Vaissiere, Marie, Plantefeve, Gaëtan, Vanderlinden, Thierry, Jurcisin, Igor, Megarbane, Buno, Caillard, Anais, Valent, Arnaud, Garnier, Marc, Besset, Sebastien, Oziel, Johanna, RAPHALEN, Jean-herlé, Dauger, Stéphane, Dumas, Guillaume, Goncalves, Bruno, Piton, Gaël, Barth, Eberhard, Goebel, Ulrich, Kunstein, Anselm, Schuster, Michael, Welte, Martin, Lutz, Matthias, Meybohm, Patrick, Steiner, Stephan, Poerner, Tudor, Haake, Hendrik, Schaller, Stefan, Kindgen-Milles, Detlef, Meyer, Christian, Kurt, Muhammed, Kuhn, Karl Friedrich, Randerath, Winfried, Wollborn, Jakob, Dindane, Zouhir, Kabitz, Hans-Joachim, Voigt, Ingo, Shala, Gonxhe, Faltlhauser, Andreas, Rovina, Nikoletta, Aidoni, Zoi, Chrisanthopoulou, Evangelia, Papadogoulas, Antonios, Gurjar, Mohan, Mahmoodpoor, Ata, Ahmed, Abdullah khudhur, Elsaka, Ahmed, Comellini, Vittoria, Rabha, Ahmed, Ahmed, Hazem, Namendys-Silva, Silvio A., Ghannam, Abdelilah, Groenendijk, Martijn, Zegers, Marieke, de Lange, Dylan, Cornet, Alex, Evers, Mirjam, Haas, Lenneke, Dormans, Tom, Dieperink, Willem, Romundstad, Luis, Sjøbø, Britt, Strietzel, Hans Frank, Olasveengen, Theresa, Hahn, Michael, Czuczwar, Miroslaw, Gawda, Ryszard, Klimkiewicz, Jakub, de Lurdes Campos Santos, Maria, Gordinho, André, Santos, Henrique, Assis, Rui, Oliveira, Ana Isabel Pinho, Badawy, Mohamed Raafat, Perez-Torres, David, Gomà, Gemma, Villamayor, Mercedes Ibarz, Mira, Angela Prado, Cubero, Patricia Jimeno, Rivera, Susana Arias, Tomasa, Teresa, Iglesias, David, Vázquez, Eric Mayor, Aldecoa, Cesar, Ferreira, Aida Fernández, Zalba-Etayo, Begoña, Canas-Perez, Isabel, Tamayo-Lomas, Luis, Diaz-Rodriguez, Cristina, Sancho, Susana, Priego, Jesús, Abualqumboz, Enas M. Y., Hilles, Momin Majed Yousuf, Saleh, Mahmoud, Ben-HAmouda, Nawfel, Roberti, Andrea, Dullenkopf, Alexander, Fleury, Yvan, Al-Sadawi, Mohammed, COVIP Study Group, [missing], and NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)

Subjects
Male, Noninvasive Ventilation, Frailty, COVID-19, 610 Medicine & health, Critical Care and Intensive Care Medicine, Noninvasive Ventilation/adverse effects, Respiration, Artificial, Healthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18], Cohort Studies, Intensive Care Units, Respiratory Insufficiency/therapy, Elderly, Medicine and Health Sciences, Humans, Intensive care unit, Female, Prospective Studies, 610 Medizin und Gesundheit, Respiratory Insufficiency, Noninvasive ventilation, Pandemics, COVID-19/therapy, Aged
Abstract

Background Noninvasive ventilation (NIV) is a promising alternative to invasive mechanical ventilation (IMV) with a particular importance amidst the shortage of intensive care unit (ICU) beds during the COVID-19 pandemic. We aimed to evaluate the use of NIV in Europe and factors associated with outcomes of patients treated with NIV. Methods This is a substudy of COVIP study—an international prospective observational study enrolling patients aged ≥ 70 years with confirmed COVID-19 treated in ICU. We enrolled patients in 156 ICUs across 15 European countries between March 2020 and April 2021.The primary endpoint was 30-day mortality. Results Cohort included 3074 patients, most of whom were male (2197/3074, 71.4%) at the mean age of 75.7 years (SD 4.6). NIV frequency was 25.7% and varied from 1.1 to 62.0% between participating countries. Primary NIV failure, defined as need for endotracheal intubation or death within 30 days since ICU admission, occurred in 470/629 (74.7%) of patients. Factors associated with increased NIV failure risk were higher Sequential Organ Failure Assessment (SOFA) score (OR 3.73, 95% CI 2.36–5.90) and Clinical Frailty Scale (CFS) on admission (OR 1.46, 95% CI 1.06–2.00). Patients initially treated with NIV (n = 630) lived for 1.36 fewer days (95% CI − 2.27 to − 0.46 days) compared to primary IMV group (n = 1876). Conclusions Frequency of NIV use varies across European countries. Higher severity of illness and more severe frailty were associated with a risk of NIV failure among critically ill older adults with COVID-19. Primary IMV was associated with better outcomes than primary NIV. Clinical Trial RegistrationNCT04321265, registered 19 March 2020, https://clinicaltrials.gov.

Published
2022

11. 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, Salih, Yusra Ahmed, 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., Salman, Rustam Al-Shahi, Alvis-Guzman, Nelson, Ancuceanu, Robert, Anderlini, Deanna, Anderson, Jason A., Ansar, Adnan, Antonazzo, Ippazio Cosimo, Arabloo, Jalal, Arnlov, 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, Barnighausen, Till Winfried, Barone, Mark Thomaz Ugliara, Basu, Sanjay, Bazmandegan, Gholamreza, Beghi, Ettore, Beheshti, Mahya, Bejot, 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., dos Santos, Florentino Luciano Caetano, Campos-Nonato, Ismael R., Cantu-Brito, Carlos, Carrero, Juan J., Castaneda-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, Gela, Jiregna Darega, Davletov, Kairat, De La Cruz-Gongora, 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, Gheshlagh, Reza Ghanei, 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, Jurisson, Mikk, Kalani, Rizwan, Kalhor, Rohollah, Kalkonde, Yogeshwar, Kamath, Ashwin, Kamiab, Zahra, Kanchan, Tanuj, Kandel, Himal, Karch, Andre, Katoto, Patrick D. M. C., Kayode, Gbenga A., Keshavarz, Pedram, Khader, Yousef Saleh, Khan, Ejaz Ahmad, Khan, Imteyaz A., Khan, Maseer, Khan, Moien A. B., Khatib, Mahalaqua Nazli, Khubchandani, Jagdish, Kim, Gyu Ri, Kim, Min Seo, Kim, Yun Jin, Kisa, Adnan, Kisa, Sezer, Kivimaki, Mika, Kolte, Dhaval, Koolivand, Ali, Laxminarayana, Sindhura Lakshmi Koulmane, 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, Saute, Ricardo Lutzky, Razek, Hassan Magdy Abd El, 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, Jonasson, Junmei Miao, 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, Al Montasir, Ahmed, Moradzadeh, Rahmatollah, Morawska, Lidia, Morze, Jakub, Muruet, Walter, Musa, Kamarul Imran, Nagarajan, Ahamarshan Jayaraman, Naghavi, Mohsen, Swamy, Sreenivas Narasimha, Nascimento, Bruno Ramos, Negoi, Ruxandra Irina, Kandel, Sandhya Neupane, 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, Kan, Fatemeh Pashazadeh, 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, Moghaddam, Sahar Saeedi, 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 Ines, 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, Tahbaz, Sahel Valadan, 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., Hanson, Sarah Wulf, Xu, Xiaoyue, Yadav, Lalit, Yadollahpour, Ali, Jabbari, Seyed Hossein Yahyazadeh, Yamagishi, Kazumasa, Yatsuya, Hiroshi, Yonemoto, Naohiro, Yu, Chuanhua, Yunusa, Ismaeel, Zaman, Muhammed Shahriar, Bin Zaman, Sojib, Zamanian, Maryam, Zand, Ramin, Zandifar, Alireza, Zastrozhin, Mikhail Sergeevich, Zastrozhina, Anasthasia, Zhang, Yunquan, Zhang, Zhi-Jiang, Zhong, Chenwen, Zuniga, Yves Miel H., Murray, Christopher J. L., 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, Salih, Yusra Ahmed, 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., Salman, Rustam Al-Shahi, Alvis-Guzman, Nelson, Ancuceanu, Robert, Anderlini, Deanna, Anderson, Jason A., Ansar, Adnan, Antonazzo, Ippazio Cosimo, Arabloo, Jalal, Arnlov, 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, Barnighausen, Till Winfried, Barone, Mark Thomaz Ugliara, Basu, Sanjay, Bazmandegan, Gholamreza, Beghi, Ettore, Beheshti, Mahya, Bejot, 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., dos Santos, Florentino Luciano Caetano, Campos-Nonato, Ismael R., Cantu-Brito, Carlos, Carrero, Juan J., Castaneda-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, Gela, Jiregna Darega, Davletov, Kairat, De La Cruz-Gongora, 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, Gheshlagh, Reza Ghanei, 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, Jurisson, Mikk, Kalani, Rizwan, Kalhor, Rohollah, Kalkonde, Yogeshwar, Kamath, Ashwin, Kamiab, Zahra, Kanchan, Tanuj, Kandel, Himal, Karch, Andre, Katoto, Patrick D. M. C., Kayode, Gbenga A., Keshavarz, Pedram, Khader, Yousef Saleh, Khan, Ejaz Ahmad, Khan, Imteyaz A., Khan, Maseer, Khan, Moien A. B., Khatib, Mahalaqua Nazli, Khubchandani, Jagdish, Kim, Gyu Ri, Kim, Min Seo, Kim, Yun Jin, Kisa, Adnan, Kisa, Sezer, Kivimaki, Mika, Kolte, Dhaval, Koolivand, Ali, Laxminarayana, Sindhura Lakshmi Koulmane, 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, Saute, Ricardo Lutzky, Razek, Hassan Magdy Abd El, 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, Jonasson, Junmei Miao, 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, Al Montasir, Ahmed, Moradzadeh, Rahmatollah, Morawska, Lidia, Morze, Jakub, Muruet, Walter, Musa, Kamarul Imran, Nagarajan, Ahamarshan Jayaraman, Naghavi, Mohsen, Swamy, Sreenivas Narasimha, Nascimento, Bruno Ramos, Negoi, Ruxandra Irina, Kandel, Sandhya Neupane, 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, Kan, Fatemeh Pashazadeh, 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, Moghaddam, Sahar Saeedi, 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 Ines, 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, Tahbaz, Sahel Valadan, 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., Hanson, Sarah Wulf, Xu, Xiaoyue, Yadav, Lalit, Yadollahpour, Ali, Jabbari, Seyed Hossein Yahyazadeh, Yamagishi, Kazumasa, Yatsuya, Hiroshi, Yonemoto, Naohiro, Yu, Chuanhua, Yunusa, Ismaeel, Zaman, Muhammed Shahriar, Bin Zaman, Sojib, 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.

Abstract

Background Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. Methods We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level. Findings In 2019, there were 12.2 million (95% UI 11.0-13.6) incident cases of stroke, 101 million (93.2-111) prevalent cases of stroke, 143 million (133-153) DALYs due to stroke, and 6.55 million (6.00-7.02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11.6% [10.8-12.2] of total deaths) and the third-leading cause of death and disability combined (5.7% [5.1-6.2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70.0% (67.0-73.0), prevalent strokes increased by 85.0% (83.0-88.0), deaths from stroke increased by 43.0% (31.0-55.0), and DALYs due to stroke increased by 32.0% (22.0-42.0). During the same period, age-standardised rates of stroke incidence decreased by 17.0% (15.0-18.0), mortality decreased by 36.0% (31.0-42.0), prevalence decreased by 6.0% (5.0-7.0), and DALYs decreased by 36.0% (31.0-42.0). However, among people younger than 70 years, prevalence rates increased by 22.0% (21.0-24.0) and incidence rates

Published
2021
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12. Large-scale validation of the prediction model risk of bias assessment Tool (PROBAST) using a short form:high risk of bias models show poorer discrimination

Author

Venema, Esmee, Wessler, Benjamin S., Paulus, Jessica K., Salah, Rehab, Raman, Gowri, Leung, Lester Y., Koethe, Benjamin C., Nelson, Jason, Park, Jinny G., van Klaveren, David, Steyerberg, Ewout W., Kent, David M., Venema, Esmee, Wessler, Benjamin S., Paulus, Jessica K., Salah, Rehab, Raman, Gowri, Leung, Lester Y., Koethe, Benjamin C., Nelson, Jason, Park, Jinny G., van Klaveren, David, Steyerberg, Ewout W., and Kent, David M.

Abstract

Objective: To assess whether the Prediction model Risk Of Bias ASsessment Tool (PROBAST) and a shorter version of this tool can identify clinical prediction models (CPMs) that perform poorly at external validation. Study Design and Setting: We evaluated risk of bias (ROB) on 102 CPMs from the Tufts CPM Registry, comparing PROBAST to a short form consisting of six PROBAST items anticipated to best identify high ROB. We then applied the short form to all CPMs in the Registry with at least 1 validation (n=556) and assessed the change in discrimination (dAUC) in external validation cohorts (n=1,147). Results: PROBAST classified 98/102 CPMS as high ROB. The short form identified 96 of these 98 as high ROB (98% sensitivity), with perfect specificity. In the full CPM registry, 527 of 556 CPMs (95%) were classified as high ROB, 20 (3.6%) low ROB, and 9 (1.6%) unclear ROB. Only one model with unclear ROB was reclassified to high ROB after full PROBAST assessment of all low and unclear ROB models. Median change in discrimination was significantly smaller in low ROB models (dAUC -0.9%, IQR -6.2–4.2%) compared to high ROB models (dAUC -11.7%, IQR -33.3–2.6%; P<0.001). Conclusion: High ROB is pervasive among published CPMs. It is associated with poor discriminative performance at validation, supporting the application of PROBAST or a shorter version in CPM reviews.

Published
2021

13. The impact of frailty on survival in elderly intensive care patients with COVID-19: the COVIP study

Author

Jung, Christian, Flaatten, Hans, Fjølner, Jesper, Bruno, Raphael Romano, Wernly, Bernhard, Artigas, Antonio, Bollen Pinto, Bernardo, Schefold, Joerg, Wolff, Georg, Kelm, Malte, Beil, Michael, Sviri, Sigal, van Heerden, Peter Vernon, Szczeklik, Wojciech, Czuczwar, Miroslaw, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Zafeiridis, Tilemachos, Marsh, Brian, Andersen, Finn, Moreno, Rui, Cecconi, Maurizio, Leaver, Susannah, Boumendil, Ariane, de Lange, Dylan, Guidet, Bertrand, Abosheaishaa, Hazem Maarouf, Abualqumboz, Enas, Ahmed, Abdullah Khudhur, Ahmed, Hazem, Aidoni, Zoi, Aldecoa, Cesar, Alexandru, Nica, Ali, Yasmin Khairy Nasreldin Mohamed, Al-Sadawi, Mohammed, Andersen, Kasper, Assis, Rui, Azab, Mohammed, Azzam, Ahmed, Badawy, Mohamed Raafat, Balleby, Ida Riise, Barth, Eberhard, Ben-Hamouda, Nawfel, Besch, Guillaume, Besset, Sebastien, Bjerregaard, Anders Thais, Brix, Helene, Brushoej, Jens, Bundgaard, Helle, Burtin, Philippe, Caillard, Anais, Canas-Perez, Isabel, Charron, Cyril, Chrisanthopoulou, Evangelia, Comellini, Vittoria, Cornet, Alex, Cubero, Patricia Jimeno, Dauger, Stéphane, Diaz-Rodriguez, Cristina, Dieperink, Willem, Dindane, Zouhir, Djibré, Michel, Dormans, Tom, Dullenkopf, Alexander, Dumas, Guillaume, Elgazzar, Yumna, Eller, Philipp, Elsaka, Ahmed, Evers, Mirjam, Faltlhauser, Andreas, Ferreira, Aida Fernández, Fleury, Yvan, Galbois, Arnaud, Garcon, Pierre, Garnier, Marc, Gawda, Ryszard, Ghannam, Abdelilah, Goebel, Ulrich, Gomà, Gemma, Goncalves, Bruno, Gordinho, André, Groenendijk, Martijn, Guerot, Emmanuel, Gurjar, Mohan, Haake, Hendrik, Haas, Lenneke, Habib, Ayman Abdelmawgoad, Hahn, Michael, Hansen, Maria Aagaard, Hilles, Momin Majed Yousuf, Hussein, Aliae, Iglesias, David, Jurcisin, Igor, Kabitz, Hans-Joachim, Kindgen-Milles, Detlef, Klimkiewicz, Jakub, Kuhn, Karl Friedrich, Kunstein, Anselm, Kurt, Muhammed, Lutz, Matthias, Mahmoodpoor, Ata, Maizel, Julien, Marin, Nathalie, Megarbane, Buno, Mesotten, Dieter, Meybohm, Patrick, Meyer, Christian, Mira, Angela Prado, Namendys-Silva, Silvio, Nedergaard, Helene Korvenius, Nseir, Saad, Olasveengen, Theresa, Oliveira, Ana Isabel Pinho, Oziel, Johanna, Papadogoulas, Antonios, Perez-Torres, David, Piton, Gaël, Plantefeve, Gaëtan, Poerner, Tudor, Priego, Jesús, Rabha, Ahmed, Randerath, Winfried, Raphaelen, Jean-Herlé, Reper, Pascal, Rigaud, Jean-Philippe, Rivera, Susana Arias, Roberti, Andrea, Romundstad, Luis, Rovina, Nikoletta, Salah, Rehab, Saleh, Mahmoud, Sancho, Susana, de Lurdes Campos Santos, Maria, Santos, Henrique, Schaller, Stefan, Schuster, Michael, Shala, Gonxhe, Sjøbø, Britt, Steiner, Stephan, Strietzel, Hans Frank, Swinnen, Walter, Tamayo-Lomas, Luis, Tharwat, Samar, Tomasa, Teresa, Uhrenholt, Stine, Vaissiere, Marie, Valent, Arnaud, Valette, Xavier, Vanderlinden, Thierry, Vázquez, Eric Mayor, Villamayor, Mercedes Ibarz, Villefrance, Maja, Voigt, Ingo, Wassim, Kyrillos, Welte, Martin, Wollborn, Jakob, Zalba-Etayo, Begoña, Zegers, Marieke, Mégarbane, Bruno, Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Mécanismes physiopathologiques et conséquences des calcifications vasculaires - UR UPJV 7517 (MP3CV), Université de Picardie Jules Verne (UPJV)-CHU Amiens-Picardie, Service de Réanimation Médicale et Toxicologique [Hôpital Lariboisière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Lariboisière-Fernand-Widal [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Optimisation thérapeutique en Neuropsychopharmacologie (OPTeN (UMR_S_1144 / U1144)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), and COVIP study group

Subjects
[SDV.TOX] Life Sciences [q-bio]/Toxicology, [SDV.MHEP.ME] Life Sciences [q-bio]/Human health and pathology/Emerging diseases, [SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, [SDV.TOX]Life Sciences [q-bio]/Toxicology, [SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases, [SDV.MHEP.PSR] Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, [SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system
Abstract

Auteurs : COVIP study group; International audience; Background The COVID-19 pandemic has led highly developed healthcare systems to the brink of collapse due to the large numbers of patients being admitted into hospitals. One of the potential prognostic indicators in patients with COVID-19 is frailty. The degree of frailty could be used to assist both the triage into intensive care, and decisions regarding treatment limitations. Our study sought to determine the interaction of frailty and age in elderly COVID-19 ICU patients. Methods A prospective multicentre study of COVID-19 patients ≥ 70 years admitted to intensive care in 138 ICUs from 28 countries was conducted. The primary endpoint was 30-day mortality. Frailty was assessed using the clinical frailty scale. Additionally, comorbidities, management strategies and treatment limitations were recorded. Results The study included 1346 patients (28% female) with a median age of 75 years (IQR 72–78, range 70–96), 16.3% were older than 80 years, and 21% of the patients were frail. The overall survival at 30 days was 59% (95% CI 56–62), with 66% (63–69) in fit, 53% (47–61) in vulnerable and 41% (35–47) in frail patients ( p

Published
2021

14. Lactate is associated with mortality in very old intensive care patients suffering from COVID-19: results from an international observational study of 2860 patients

Author

Bruno, Raphael Romano, Wernly, Bernhard, Flaatten, Hans, Artigas, Antonio, Bollen Pinto, Bernardo, Binnebössel, Stephan, Baldia, Philipp Heinrich, Kelm, Malte, Beil, Michael, Sigal, Sivri, van Heerden, Peter Vernon, Elhadi, Muhammed, Zafeiridis, Tilemachos, Arche Banzo, Maria José, Moreno, Rui, Boumendil, Ariane, De Lange, Dylan W., Eller, Philipp, Joannidis, Michael, Mesotten, Dieter, Reper, Pascal, Oeyen, Sandra, Swinnen, Walter, Serck, Nicolas, Dewaele, Elisabeth, Chapeta, Edwin, Brix, Helene, Brushoej, Jens, Kumar, Pritpal, Nedergaard, Helene Korvenius, Johnsen, Tim Koch, Bundesen, Camilla, Hansen, Maria Aagaard, Uhrenholt, Stine, Bundgaard, Helle, Fjølner, Jesper, Innes, Richard, Gooch, James, Cagova, Lenka, Potter, Elizabeth, Reay, Michael, Davey, Miriam, Abusayed, Mohammed Abdelshafy, Humphreys, Sally, Collins, Amy, Aujayeb, Avinash, Leaver, Susannah, Khaliq, Waqas, Habib, Ayman Abdelmawgoad, Azab, Mohammed A., Wassim, Kyrillos, Elgazzar, Yumna A., Salah, Rehab, Abosheaishaa, Hazem Maarouf, Hussein Mohamed, Aliae A. R., Azzam, Ahmed Y., Tharwat, Samar, Ali, Yasmin Khairy Nasreldin Mohamed, Elmandouh, Omar, Galal, Islam, Abu-Elfatth, Ahmed, Motawea, Karam, Elbahnasawy, Mohammad, Shehata, Mostafa, Elbahnasawy, Mohamed, Tayeb, Mostafa, Osman, Nermin, Abdel-Elsalam, Wafaa, Hussein, Aliae Mohamed, Aldhalia, Amer, Galbois, Arnaud, Guidet, Bertrand, Charron, Cyril, Berlemont, Caroline Hauw, Besch, Guillaume, Rigaud, Jean-Philippe, Maizel, Julien, Djibré, Michel, Burtin, Philippe, Garcon, Pierre, Nseir, Saad, Valette, Xavier, Alexandru, Nica, Marin, Nathalie, Vaissiere, Marie, Plantefeve, Gaëtan, Mentec, Hervé, Vanderlinden, Thierry, Jurcisin, Igor, Megarbane, Buno, Chousterman, Benjamin Glenn, Dépret, François, Garnier, Marc, Besset, Sebastien, Oziel, Johanna, Ferre, Alexis, Dauger, Stéphane, Dumas, Guillaume, Goncalves, Bruno, Vettoretti, Lucie, Thevenin, Didier, Schaller, Stefan, Kurt, Muhammed, Faltlhauser, Andreas, Meyer, Christian, Milovanovic, Milena, Lutz, Matthias, Shala, Gonxhe, Haake, Hendrik, Randerath, Winfried, Kunstein, Anselm, Meybohm, Patrick, Barth, Eberhard, Poerner, Tudor, Simon, Philipp, Lorenz, Marco, Dindane, Zouhir, Kuhn, Karl Friedrich, Welte, Martin, Voigt, Ingo, Kabitz, Hans-Joachim, Wollborn, Jakob, Goebel, Ulrich, Stoll, Sandra Emily, Kindgen-Milles, Detlef, Dubler, Simon, Jung, Christian, Fuest, Kristina, Schuster, Michael, Steiner, Stephan, Papadogoulas, Antonios, Mulita, Francesk, Rovina, Nikoletta, Aidoni, Zoi, Chrisanthopoulou, Evangelia, Kondili, Eumorfia, Andrianopoulos, Ioannis, Gurjar, Mohan, Mahmoodpoor, Ata, Hussein, Rand, Al-Juaifari, Maytham Aqeel, Karantenachy, Abdullah Khudhur Ahmed, Sviri, Sigal, Elsaka, Ahmed, Marsh, Brian, Comellini, Vittoria, Al-Ali, Farah, Almani, Sari, Khamees, Almu' Atasim, Al-Shami, Khayry, El Din, Ibrahim Salah, Abubaker, Taha, Ahmed, Hazem, Rabha, Ahmed, Emhamed, Marwa, Abdeewi, Saedah, Abusalama, Abdurraouf, Alhadi, Abdulmueti, Huwaysh, Mohammed, Alghati, Esraa Abdalqader, Ghannam, Abdelilah, Namendys-Sylva, Silvio A., Groenendijk, Martijn, Evers, Mirjam, Van Lelyveld-Haas, Lenneke, Meynaar, Iwan, Cornet, Alexander Daniel, Zegers, Marieke, Dieperink, Willem, De Lange, Dylan, Dormans, Tom, Hahn, Michael, Sjøbøe, Britt, Strietzel, Hans Frank, Olasveengen, Theresa, Romundstad, Luis, Andersen, Finn H., Massoud, John George Grace, Khan, Aamir Ghafoor, Al-Qasrawi, Shahd, Amro, Sarah, Kluzik, Anna, Zatorski, Pawel, Drygalski, Tomasz, Szczeklik, Wojciech, Klimkiewicz, Jakub, Solek-Pastuszka, Joanna, Onichimowski, Dariusz, Czuczwar, Miroslaw, Gawda, Ryszard, Stefaniak, Jan, Stefanska-Wronka, Karina, Zabul, Ewa, Oliveira, Ana Isabel Pinho, Assis, Rui, De Lurdes Campos Santos, Maria, Santos, Henrique, Cardoso, Filipe Sousa, Gordinho, André, Grintescu, Ioana Marina, Tomescu, Dana, Badawy, Mohamed Raafat, José Arche Banzo, M., Zalba-Etayo, Begoña, Cubero, Patricia Jimeno, Priego, Jesús, Gomà, Gemma, Tomasa-Irriguible, Teresa Maria, Sancho, Susana, Ferreira, Aida Fernández, Vázquez, Eric Mayor, Mira, Ángela Prado, Ibarz, Mercedes, Iglesias, David, Arias-Rivera, Susana, Frutos-Vivar, Fernando, Lopez-Cuenca, Sonia, Aldecoa, Cesar, Perez-Torres, David, Canas-Perez, Isabel, Tamayo-Lomas, Luis, Diaz-Rodriguez, Cristina, De Gopegui, Pablo Ruiz, Saleh, Mahmoud, Hilles, Momin Majed Yousuf, Abualqumboz, Enas M. Y., Ben-Hamouda, Nawfel, Roberti, Andrea, Fleury, Yvan, Abidi, Nour, Schefold, Joerg C., Chau, Ivan, Dullenkopf, Alexander, Chaaban, Mohammad Karam, Shebani, Mohammed Mouaz, Hmaideh, Ahmad, Shaher, Aymen, Sahin, Ayca Sultan, Saracoglu, Kemal Tolga, Al-Sadawi, Mohammed, Pugh, Richard, Smuts, Sara, and Al-Saban, Rafat Ameen Mohammed

Subjects
Research, Intensive / Critical Care Medicine, Emergency Medicine, Anesthesiology, ddc
Published
2020

15. Large-scale validation of the Prediction model Risk Of Bias ASsessment Tool (PROBAST) using a short form: high risk of bias models show poorer discrimination

Author

Venema, Esmee, primary, Wessler, Benjamin S, additional, Paulus, Jessica K, additional, Salah, Rehab, additional, Raman, Gowri, additional, Leung, Lester Y, additional, Koethe, Benjamin C, additional, Nelson, Jason, additional, Park, Jinny G, additional, van Klaveren, David, additional, Steyerberg, Ewout W, additional, and Kent, David M, additional

Published
2021
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16. Prevalence of atherosclerosis risk factors in Egyptian patients with acute coronary syndrome: final data of the nationwide cross-sectional 'CardioRisk' project.

Author

Reda, Ashraf, Bendary, Ahmed, Elbahry, Atef, Farag, Elsayed, Mostafa, Tamer, Khamis, Hazem, Wadie, Moheb, Bendary, Mohamed, Azeem, Bassant Abdoul, and Salah., Rehab

Abstract

Background: Little are known about the prevalence of atherosclerosis risk factors in Egyptian patients with acute coronary syndromes (ACS). Objective: Describe the prevalence of these risk factors with focus on gender-specific data and patients with premature presentation. Methods: From November 2015 to August 2018, data were collected from 3224 patients with ACS in 30 coronary care centers covering 11 governorates across Egypt, with focus premature ACS. Results: The vast majority were males (74%) and the most prevalent age group was (56-65 years) representing 37% of whole study population. Among female patients, 92% were post-menopausal. The prevalence of premature ACS was 51%. Forty five percent of total males and 69.6% of total females with ACS had premature presentation (P<0.001). Abdominal obesity was the most prevalent risk factor (66%). Nearly half of the entire study patients were current smokers (48%). We showed a high prevalence of documented dyslipidemia (48%) as well. Early invasive management strategy was employed in 65% of patients with no significant gender disparity noticed. Vascular access for coronary angiography was most commonly femoral (80% of time). Emergent percutaneous coronary intervention (PCI) was attempted in 53% of patients. Thrombolytic therapy (using Streptokinase) was used in 24% of included participants. Conclusion: Among Egyptian patients with ACS, premature presentation is common with greater male preponderance. Abdominal obesity is the most prevalent risk factor followed by hypertension. Most traditional risk factors (apart from smoking) were more prevalent in women than men. [ABSTRACT FROM AUTHOR]

Published
2020
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19. Electronic Prescribing with a Quick Look for Its Application in Al-Husein Hospital/Jordanian Royal Medical Services (Jrms).

Author

Salah, Rehab K., Alkalaldeh, Jelnar Z., AL-Omari, Nadia Ahmad, AL-Niemat, Sahar, Baninasur, Rasha, and Bisharat, Toleen I.

Subjects
*COMPUTERS in medicine, *HEALTH facilities, *PATIENT satisfaction, *ELECTRONIC health records, *MEDICAL quality control
Abstract

Aim of the study : electronic prescribing is the computer-based electronic generation; it allows a physician to electronically transmit a new prescription to the community or health facility pharmacy. The aim of this study was to evaluate an electronic prescribing patient and physician satisfaction at ALHussein Hospital/(JRMS). Patients and Methods:An electronic prescribing patient satisfaction survey was conducted a sample of 100 patient were randomly chosen. An electronic prescribing physician satisfaction survey was conducted a sample of 50 physician in the specialty clinics of AL- Hussein Hospital were randomly chosen. Results:Around 77% of patient was satisfied that the clinic had adopted electronic prescribing, and around 80% of physician were satisfied that the clinic had adopted electronic prescribing. The feedbacks of patients and physicians were great. Conclusion:This study approved that electronic medical record system improve the quality of patient care and decrease medical errors. Periodic assessment is needed to evaluate many aspect and consequences of e-prescribing and to measure the enhancement in patients and community in addition to achieve a good resource management. [ABSTRACT FROM AUTHOR]

Published
2016
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20. Perception and use of massive open online courses among medical students in a developing country: multicentre cross-sectional study.

Author

Aboshady, Omar A., Radwan, Ahmed E., Eltaweel, Asmaa R., Azzam, Ahmed, Aboelnaga, Amr A., Hashem, Heba A., Darwish, Salma Y., Salah, Rehab, Kotb, Omar N., Afifi, Ahmed M., Noaman, Aya M., Salem, Dalal S., and Hassouna, Ahmed

Abstract

Objectives: To assess the prevalence of awareness and use of massive open online courses (MOOCs) among medical undergraduates in Egypt as a developing country, as well as identifying the limitations and satisfaction of using these courses. Design: A multicentre, cross-sectional study using a web-based, pilot-tested and self-administered questionnaire. Settings: Ten out of 19 randomly selected medical schools in Egypt. Participants: 2700 undergraduate medical students were randomly selected, with an equal allocation of participants in each university and each study year. Primary and secondary outcome measures: Primary outcome measures were the percentages of students who knew about MOOCs, students who enrolled and students who obtained a certificate. Secondary outcome measures included the limitations and satisfaction of using MOOCs through five-point Likert scale questions. Results: Of 2527 eligible students, 2106 completed the questionnaire (response rate 83.3%). Of these students, 456 (21.7%) knew the term MOOCs or websites providing these courses. Out of the latter, 136 (29.8%) students had enrolled in at least one course, but only 25 (18.4%) had completed courses earning certificates. Clinical year students showed significantly higher rates of knowledge (p=0.009) and enrolment (p<0.001) than academic year students. The primary reasons for the failure of completion of courses included lack of time (105; 77.2%) and slow Internet speed (73; 53.7%). Regarding the 25 students who completed courses, 21 (84%) were satisfied with the overall experience. However, there was less satisfaction regarding student-instructor (8; 32%) and student- student (5; 20%) interactions. Conclusions: About one-fifth of Egyptian medical undergraduates have heard about MOOCs with only about 6.5% actively enrolled in courses. Students who actively participated showed a positive attitude towards the experience, but better time-management skills and faster Internet connection speeds are required. Further studies are needed to survey the enrolled students for a better understanding of their experience. [ABSTRACT FROM AUTHOR]

Published
2015
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21. Prevalence of atherosclerosis risk factors in Egyptian patients with acute coronary syndrome: final data of the nationwide cross-sectional 'CardioRisk' project.

Author

Reda A, Bendary A, Elbahry A, Farag E, Mostafa T, Khamis H, Wadie M, Bendary M, Abdoul Azeem B, and Salah R

Abstract

Background: Little are known about the prevalence of atherosclerosis risk factors in Egyptian patients with acute coronary syndromes (ACS)., Objective: Describe the prevalence of these risk factors with focus on gender-specific data and patients with premature presentation., Methods: From November 2015 to August 2018, data were collected from 3224 patients with ACS in 30 coronary care centers covering 11 governorates across Egypt, with focus premature ACS., Results: The vast majority were males (74%) and the most prevalent age group was (56-65 years) representing 37% of whole study population. Among female patients, 92% were post-menopausal. The prevalence of premature ACS was 51%. Forty five percent of total males and 69.6% of total females with ACS had premature presentation (P<0.001). Abdominal obesity was the most prevalent risk factor (66%). Nearly half of the entire study patients were current smokers (48%). We showed a high prevalence of documented dyslipidemia (48%) as well. Early invasive management strategy was employed in 65% of patients with no significant gender disparity noticed. Vascular access for coronary angiography was most commonly femoral (80% of time). Emergent percutaneous coronary intervention (PCI) was attempted in 53% of patients. Thrombolytic therapy (using Streptokinase) was used in 24% of included participants., Conclusion: Among Egyptian patients with ACS, premature presentation is common with greater male preponderance. Abdominal obesity is the most prevalent risk factor followed by hypertension. Most traditional risk factors (apart from smoking) were more prevalent in women than men., Competing Interests: Conflict of interest: The authors declare no potential conflict of interest., (©Copyright: the Author(s).)

Published
2021
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22. Drug use evaluation of antibiotics prescribed in a Jordanian hospital outpatient and emergency clinics using WHO prescribing indicators.

Author

Al-Niemat SI, Bloukh DT, Al-Harasis MD, Al-Fanek AF, and Salah RK

Subjects
Ambulatory Care Facilities, Drug Utilization, Humans, Jordan, Retrospective Studies, World Health Organization, Anti-Bacterial Agents therapeutic use, Drug Prescriptions statistics & numerical data, Guideline Adherence, Practice Patterns, Physicians' statistics & numerical data
Abstract

Objective: To evaluate the use of antibiotics prescribed in hospital outpatient and emergency clinics in King Hussein Medical Centre (KHMC) using WHO prescribing indicators in an attempt to rationalize the use of antibiotics in the Royal Medical Services., Methods: We retrospectively surveyed a sample of 187,822 antibiotic prescriptions obtained from 5 outpatient pharmacies in KHMC written over the period of 3 consecutive months (May 2007 - July 2007). The percentage of encounters of an antibiotic prescribed was calculated using the methodology recommended by the WHO. An additional indicator, the percentage share of different antibiotics was also included to identify the frequency prescribed from those antibiotics., Results: The average percentage of prescriptions involving antibiotics was 35.6% out of 187,822 prescriptions surveyed. From these, 65,500 antibiotic prescriptions were observed. Penicillins most frequently amoxicillins and Quinolones most frequently ciprofloxacillin and norfloxacillin were the most commonly prescribed antibiotics with an average percentage of 31.8% and 27.5%. The average prescribing rate for the other antibiotic categories was as follows: macrolides (5.2%), cephalosporins (16%), and amoxicillins/clavulanate (5.4%)., Conclusion: The high percentage of prescriptions involving antibiotics observed in KHMC pharmacies requires rational use of antibiotics and judicious prescribing by Military prescribers. An insight into factors influencing antibiotic prescribing patterns and adherence to antibiotic prescribing guidelines by the Military prescribers is warranted.

Published
2008

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