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9. 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

Collaborators, GBD 2019 Stroke, 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, Hamad, Hanadi Al, Alahdab, Fares, Alif, 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, 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, dos Santos, Florentino Luciano Caetano, 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, and Dandona, Rakhi

Subjects
Brain Disorders, Aging, Prevention, Stroke, Clinical Research, 2.4 Surveillance and distribution, Aetiology, Good Health and Well Being, Adult, Aged, Aged, 80 and over, Body Mass Index, Cerebral Hemorrhage, Female, Global Burden of Disease, Humans, Incidence, Income, Ischemic Stroke, Male, Middle Aged, Prevalence, Quality-Adjusted Life Years, Risk Factors, Subarachnoid Hemorrhage, GBD 2019 Stroke Collaborators, Clinical Sciences, Neurosciences, Neurology & Neurosurgery
Abstract

BackgroundRegularly 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.MethodsWe 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.FindingsIn 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 increased by 15·0% (12·0-18·0). In 2019, the age-standardised stroke-related mortality rate was 3·6 (3·5-3·8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3·7 (3·5-3·9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62·4% of all incident strokes in 2019 (7·63 million [6·57-8·96]), while intracerebral haemorrhage constituted 27·9% (3·41 million [2·97-3·91]) and subarachnoid haemorrhage constituted 9·7% (1·18 million [1·01-1·39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79·6 million [67·7-90·8] DALYs or 55·5% [48·2-62·0] of total stroke DALYs), high body-mass index (34·9 million [22·3-48·6] DALYs or 24·3% [15·7-33·2]), high fasting plasma glucose (28·9 million [19·8-41·5] DALYs or 20·2% [13·8-29·1]), ambient particulate matter pollution (28·7 million [23·4-33·4] DALYs or 20·1% [16·6-23·0]), and smoking (25·3 million [22·6-28·2] DALYs or 17·6% [16·4-19·0]).InterpretationThe annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries.FundingBill & Melinda Gates Foundation.

Published
2021

13. Dual Unsafe Injection and Sexual Behaviors for HIV Infection Among People Who Inject Drugs in Iran

Author

Esmaeili, Aryan, Shokoohi, Mostafa, Danesh, Ahmad, Sharifi, Hamid, Karamouzian, Mohammad, Haghdoost, AliAkbar, Shahesmaeili, Armita, Akbarpour, Samaneh, Morris, Meghan D, and Mirzazadeh, Ali

Subjects
Public Health, Health Sciences, Infectious Diseases, HIV/AIDS, Health Services, Sexually Transmitted Infections, Substance Misuse, Drug Abuse (NIDA only), Clinical Research, Behavioral and Social Science, Infection, Good Health and Well Being, Adult, Female, HIV Infections, Health Surveys, Humans, Iran, Male, Population Surveillance, Prevalence, Substance Abuse, Intravenous, Unsafe Sex, Young Adult, People who inject drugs, Unsafe injection, Unsafe sex, HIV, Public Health and Health Services, Social Work, Public health
Abstract

We used two national surveys (2010: N = 1597; 2013: N = 1057) of people who inject drugs (PWID) in past-month to assess the prevalence and population size of PWID with either safe or unsafe injection and sex behaviors, overall and by HIV status. In 2013, only 27.0% (vs. 32.3% in 2010) had safe injection and sex, 24.6% (vs. 23.3% in 2010) had unsafe injection and sex, 26.4% (vs. 26.5% in 2010) had only unsafe injection, and 22.0% (vs. 18.0% in 2010) had unsafe sex only. Among HIV-positive PWID in 2013, only 22.1% (~ 2200 persons) had safe injection and sex, 14.2% (~ 1400 persons) had unsafe injection and sex, 53.1% (~ 5200 persons) had unsafe injection, and 10.6% had unsafe sex (~ 1100 persons). Among HIV-negative PWID in 2013, only 27.5% (~ 22,200 persons) had safe injection and sex, 25.9% (~ 20,900 PWID) had unsafe injection and sex, 23.2% (~ 18,700 persons) had unsafe injection, and 23.3% (~ 18,800 persons) had unsafe sex. HIV-positive and -negative PWID in Iran continue to be at risk of HIV acquisition or transmission which calls for targeted preventions services.

Published
2019

18. 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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20. Perceived social support, perceived stress, and quality of sleep among COVID-19 patients in Iran: assessing measurement invariance of the multidimensional scale of perceived social support across gender and age.

Author

Asgarabad, Mojtaba Habibi, Cheung, Zahra Vahabi Ho Nam, Ho Nam Cheung, Ahmadi, Reza, Akbarpour, Samaneh, Sadeghian, Mohammad Hossein, and Etesam, Farnaz

Subjects
SLEEP quality, COVID-19, SOCIAL support, SLEEP interruptions, SLEEP latency
Abstract

Background: Perceived social support (PSS) plays a considerable role in mental health. The Multidimensional Scale of Perceived Social Support (MSPSS) is one of the most widely used scales, leading to much research evidence. The present study investigated its measurement model, equivalence across gender (male and female) and age groups (older patients= above 60 and non-older patients= below 60), and concurrent validity. Methods: A cross-sectional survey was conducted between March and October 2020, on patients hospitalized due to COVID-19 in Tehran, Iran. The scales were administered to 328 COVID-19 patients (54.6% male, aged 21 to 92) from two general hospitals; participants completed MSPSS (including friends, family, and significant others subscales), Pittsburgh Sleep Quality Index (PSQI, include sleep latency, subjective sleep quality, habitual sleep efficiency, sleep duration, use of sleep medication, daytime dysfunction, and sleep disturbances subscales), and the Perceived Stress Scale-10 (PSS-10, to assess patients' appraisal of stressful conditions). Results: The MSPSS three-factor structure was confirmed among COVID-19 patients by Confirmatory Factor Analysis (CFA). The results support the MSPSS internal consistency and configural, metric, and scalar invariance across gender and age groups. Nevertheless, small but significant differences were found across ages based on the latent factor mean of the MSPSS from friends, with a lower mean level in older patients. The coefficients of Cronbach's alpha (ranging from.92 to.96), the ordinal theta (ranging from.95 to.98), and Omega (ranging from.93 to.97) suggested high internal consistency of MSPSS. The concurrent validity of MSPSS was evidenced by its significant negative correlation with PSS-10 (Γb = -.13, p <.01) and also subjective sleep quality (Γb = -.22, p <.01), sleep disturbances (Γb = -.26, p <.001), and daytime dysfunction (Γb = -.26, p <.001). Conclusions: The MSPSS was valid and reliable for measuring individuals' perception of social support between males and females and older and non-older COVID-19 patients. [ABSTRACT FROM AUTHOR]

Published
2024
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22. Incidence of acute kidney injury (AKI) and outcomes in COVID-19 patients with and without antiviral medications: A retrospective study

Author

Mousavi Movahed, Seyed Majid, primary, Akhavizadegan, Hamed, additional, Dolatkhani, Fatemeh, additional, Akbarpour, Samaneh, additional, Nejadghaderi, Seyed Aria, additional, Najafi, Morvarid, additional, Pezeshki, Parmida Sadat, additional, Khalili Noushabadi, Akram, additional, and Ghasemi, Hoomaan, additional

Published
2023
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27. A Method Based on the SCT to Solve the Inverse Problem for Heat Equation.

Author

Akbarpour, Samaneh, Shidfar, Abdollah, and Najafi, Hashem Saberi

Subjects
HEAT equation, INVERSE problems, MATHEMATICAL models, CHEBYSHEV polynomials, PARAMETER estimation
Abstract

In this article, a mathematical model of the inverse problem is considered. Based on this model a formulation of inverse problem for heat equation is proposed. Shifted Chebyshev Tau (SCT) method is suggested to solve the inverse problem. The aim of this determined effort is to identify unknown function and unknown control parameter of the mathematical model. In order to achieve highly accurate solution to this problem, the operational matrix of shifted Chebyshev polynomials is investigated in conjunction with tau scheme. To demonstrate the validity and applicability of the developed scheme, numerical example is presented. [ABSTRACT FROM AUTHOR]

Published
2023
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30. Clinical and laboratory findings of rhabdomyolysis in opioid overdose patients in the intensive care unit of a poisoning center in 2014 in Iran

Author

Khoshideh Babak, Arefi Mohammad, Ghorbani Mazaher, Akbarpour Samaneh, and Taghizadeh Fatemeh

Subjects
Laboratory findings, Toxicity, Opioid, Rhabdomyolysis, Medicine
Abstract

OBJECTIVES The aim of this study was to investigate the clinical and demographic characteristics and some laboratory findings of hospitalized patients with acute opioid toxicity and rhabdomyolysis. METHODS This cross-sectional study investigated 354 patients hospitalized at Baharloo Hospital in Tehran in 2014 with acute illicit drug toxicity. Data were collected using an investigator-made checklist. The collected data (such as mortality rate, demographic data, and renal function tests, as well as serum biochemical findings) were analyzed by descriptive statistics and the chi-square test. RESULTS A total of 354 patients were admitted to the hospital in 2014 with acute illicit drug toxicity, including 291 males and 63 females. The total number of patients with rhabdomyolysis was 76 (21.5% of the total), of whom 69 (90.8%) were male and 7 (9.2%) were female. Most cases of rhabdomyolysis were associated with methadone abuse, followed by opium abuse. Rhabdomyolysis was most common in those 20-29 and 30-39 years old, with methadone and opium the most commonly abused illicit drugs. The mean blood urea level was 3.8±1.0 mg/dL, and the mean serum potassium and sodium levels were 3.8±0.3 mg/dL and 140.4±4.0 mg/dL, respectively. Five patients, all of whom were male, passed away due to severe renal failure (6.5%). CONCLUSIONS Toxicity caused by opioids is associated with clinical complications and laboratory disorders, such as electrolyte disorders, which can lead to lethal or life-threatening results in some cases. Abnormal laboratory test findings should be identified in patients with opioid toxicity in order to initiate efficient treatment.

Published
2017
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39. Evaluation of the Possible Effect of the Influenza Vaccine on the Severity, Mortality, and Length of Hospitalization among Unvaccinated COVID-19 Patients; An Observational, Cross-Sectional Study

Author

Alizadeh, Nafiseh, primary, Tabatabaei, Fatemeh Sadat, additional, Borran, Mina, additional, Dianatkhah, Mehrnoush, additional, Azimi, Amirali, additional, Forghani, Seyedeh Nafise, additional, Akbarpour, Samaneh, additional, Alizadeh, Mahboubeh, additional, Torabi, Sara, additional, and Faraji, Neda, additional

Published
2022
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41. Additional file 1 of Prevalence of short and long sleep duration: Ravansar NonCommunicable Disease (RaNCD) cohort study

Author

Najafi, Arezu, Akbarpour, Samaneh, Najafi, Farid, Safari-Faramani, Roya, Sadeghniiat-Haghighi, Khosro, Aghajani, Faezeh, Asgari, Samaneh, Aleebrahim, Forugh, and Nakhostin-Ansari, Amin

Abstract

Additional file 1: Supplementary Table 1. Socio-demographic and health-related characteristics of participants based on self-reported sleep duration in male participants. Supplementary Table 2. Socio-demographic and health-related characteristics of participants based on self-reported sleep duration in female participants.

Published
2022
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44. Renin-Angiotensin-Aldosterone axis inhibition improves outcome of diabetic patients with chronic hypertension and COVID-19: An Iranian perspective

Author

Hosamirudsari, Hadiseh, primary, Kheyri, Zahedin, additional, Alizadeh, Mahboobeh, additional, Akbarpour, Samaneh, additional, Niya, MohammadH K, additional, Aliasgharpour, Fatemeh, additional, Meidan, MohadesehM, additional, Hassanzadeh, Shahrbanoo, additional, Dowran, Razieh, additional, and Jafarpour, Ali, additional

Published
2022
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46. Sputnik V vaccine-related complications and its impression on inflammatory biomarkers in healthcare providers

Author

Akrami, Majid, Hosamirudsari, Hadiseh, Faraji, Neda, Behnush, Behnam, Goudarzi, Forough, Hesari, Elahe, Akbarpour, Samaneh, Najafi, Arezu, and Nateghi, Saeed

Abstract

The current pandemic made scientists create new platforms of vaccines to fight against SARS-CoV-2. Without a doubt, the new forms of present vaccines could develop a diversity of unknown complications. Sputnik V vaccine with two different adenovirus vectors (Ad26 priming and Ad5 boost) was first announced safe and effective by Russia. However, there are controversies surrounding this vaccine such as the possible decline of its immunogenicity and diminished neutralizing capacity against some Covid-19 variants. In addition, its impression on serum biomarkers is not clearly surveyed. The present study aimed to evaluate the frequency of Sputnik V vaccine-related complications and its impression on inflammatory and hematologic biomarkers.

Published
2023
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49. Can laboratory tests at the time of admission guide us to the prognosis of patients with COVID-19?

Author

AKHAVIZADEGAN, HAMED, HOSAMIRUDSARI, HADISEH, ALIZADEH, MAHBOOBEH, ALIMOHAMADI, YOUSEF, KARBAKHSH DAVARI, MOJGAN, AKBARPOUR, SAMANEH, NAKHOSTIN-ANSARI, AMIN, FOROUGHI, ALIREZA, MANSURI, FARIBA, FARAJI, NEDA, and NASIRI, ZOHREH

Subjects
Coronavirus, Male, Risk Factors, SARS-CoV-2, Laboratory tests, COVID-19, Humans, Female, Review, Mortality, Prognosis, Retrospective Studies
Abstract

Introduction: To enhance the COVID-19 patients’ care and to optimize utilizing medical resources during the pandemic, relevant biomarkers are needed for prediction of the disease’s progression, the current study was aimed to determine the factors that effect on mortality of COVID-19 patients who admitted in Baharloo hospital in Iran. Methods: in the current retrospective study, 56 patients who were died because of COVID-19 infection were randomly selected from those who were admitted to Baharloo hospital. One patient who was diagnosed with COVID-19 and had recovered from it matched with each non-survived patient in the term of age. Laboratory tests of all these patients at the time of admission were recorded and compared. All analyses performed using spss version 22 by considering α:0.05 as a significant level. Results: There was no statistical difference in the age and gender distribution between the two groups (p>0.05). The prevalence of diabetes among survived patients was 37.5% and among non-survived patients was 26.8% and there was no statistical difference between two groups about this comorbidity (p:0.22). Also, there was no statistical difference in the prevalence of hypertension and coronary heart diseases between two groups (p>0.05). Lymphocyte percentage, Blood oxygen level, and platelet (PLT) count was significantly higher in patients who had recovered (P, Journal of Preventive Medicine and Hygiene, Vol. 62 No. 2 (2021): 2021622

Published
2021
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