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Zhao T, Wang Z, Tong M, Fei Y. The development of therapeutics and vaccines against COVID-19. Diagn Microbiol Infect Dis 2025; 111:116643. [PMID: 39637679 DOI: 10.1016/j.diagmicrobio.2024.116643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2024] [Revised: 11/24/2024] [Accepted: 12/01/2024] [Indexed: 12/07/2024]
Abstract
Since the COVID-19 pandemic, it has caused a great threat to the global economy and public health, initiatives have been launched to control the spread of the virus. To explore the efficacy of drugs, a large number of clinical trials have been carried out, with the purpose of providing guidelines based on high-quality evidence for clinicians. We mainly discuss therapeutic agents for COVID-19 and explain the mechanism, including antiviral agents, tocilizumab, Janus kinase (JAK) inhibitors, neutralizing antibody therapies and corticosteroids. In addition, the COVID-19 vaccine has been proven to be efficacious in preventing SARS-CoV-2 infection. We systematically analyzed four mainstream vaccine platforms: messenger RNA (mRNA) vaccines, viral vector vaccines, inactivated vaccines and protein subunit vaccines. We evaluated the therapeutic effects of drugs and vaccines through enumerating the most typical clinical trials. However, the emergence of novel variants has further complicated the interpretation of the available clinical data, especially vaccines and antibody therapies. In the post-epidemic era, therapeutic agents are still the first choice for controlling the progression of disease, whereas the protective effect of vaccines against different strains should be assessed comprehensively.
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Affiliation(s)
- Tianyu Zhao
- The Affiliated Hospital of Shao Xing University/The Affiliated Hospital of Shao Xing University(Shao Xing Municipal Hospital), China
| | - Zhiwei Wang
- The Affiliated Hospital of Shao Xing University/The Affiliated Hospital of Shao Xing University(Shao Xing Municipal Hospital), China
| | - Mingjiong Tong
- The Affiliated Hospital of Shao Xing University/The Affiliated Hospital of Shao Xing University(Shao Xing Municipal Hospital), China
| | - Yingming Fei
- The Affiliated Hospital of Shao Xing University/The Affiliated Hospital of Shao Xing University(Shao Xing Municipal Hospital), China.
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Li J, Peng W, Zhang Y, Liu S, Han M, Song R, Zhang Y, Jin R, Wang X. A Comparative Study of Clinical Characteristics and COVID-19 Vaccine Effectiveness Against SARS-CoV-2 Variants: Wild-Type, Alpha, Delta, and Omicron in Beijing, China. Infect Drug Resist 2024; 17:5147-5161. [PMID: 39600325 PMCID: PMC11588667 DOI: 10.2147/idr.s483098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2024] [Accepted: 11/13/2024] [Indexed: 11/29/2024] Open
Abstract
Background To compare the clinical characteristics of symptoms and laboratory findings across SARS-CoV-2 variants (Wild-type, Alpha, Delta, Omicron) and assess the effectiveness of COVID-19 vaccines in preventing symptoms and laboratory abnormalities. Methods We conducted a retrospective cohort study of individuals with SARS-CoV-2 infection at Beijing Ditan Hospital, Capital Medical University. Patients were grouped by the SARS-CoV-2 variant (Wild-type, Alpha, Delta, Omicron) based on whole-genome sequencing. Thirteen symptoms and 22 laboratory indices were compared across variants, and Omicron patients were further analyzed by vaccination status with generalized estimating equations (GEE) model. Results One thousand four hundred and thirteen participants were included for the analysis as following: Wild-type group (N=322), Alpha group (N=67), Delta group (N=98), and Omicron group (N=926). Omicron patients showed the highest proportion (30.1%) of respiratory symptoms across groups. Patients displayed normal laboratory manifestation, except for inflammatory markers, coagulation function index and glucose. Meanwhile, the Omicron variant was featured by higher inflammatory biomarkers (serum amyloid A protein [SAA] and C-reactive protein [CRP]). In addition, Omicron patients with three or more vaccine doses had fewer symptoms and higher values of SAA and CRP compared to those with fewer than three doses. Results of GEE showed, when compared with ≤ 1 vaccine dose, red blood cell count, white blood cell count, neutrophil count, platelet count, haemoglobin, and C-reactive protein in patients with ≥ 3 doses of vaccine significantly increased; while aspartic transaminase, creatine kinase, blood urea nitrogen, activated partial thromboplastin time, prothrombin time and thrombin time dramatically decreased, respectively. Conclusion Omicron variant resulted in abnormal inflammatory response. Individuals with three or more vaccine doses are more likely to experience fewer symptoms and have stronger protection against the virus. This study highlights key differences in symptom onset and laboratory profiles across SARS-CoV-2 variants, reinforcing the importance of three vaccine doses in providing strong protection against the Omicron variant.
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Affiliation(s)
- Junnan Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
- Beijing Institute of Infectious Disease, Beijing, 100015, People’s Republic of China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
| | - Wenjuan Peng
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
- Beijing Institute of Infectious Disease, Beijing, 100015, People’s Republic of China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
| | - Yuting Zhang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
- Beijing Institute of Infectious Disease, Beijing, 100015, People’s Republic of China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
| | - Shunai Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
- Beijing Institute of Infectious Disease, Beijing, 100015, People’s Republic of China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
| | - Ming Han
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
- Beijing Institute of Infectious Disease, Beijing, 100015, People’s Republic of China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
| | - Rui Song
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
| | - Yuanyuan Zhang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
- Beijing Institute of Infectious Disease, Beijing, 100015, People’s Republic of China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
| | - Ronghua Jin
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
- Beijing Institute of Infectious Disease, Beijing, 100015, People’s Republic of China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
| | - Xi Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
- Beijing Institute of Infectious Disease, Beijing, 100015, People’s Republic of China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China
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Hannawi S, Wu XH, Villalobos RE, Burhan E, Lallaine Borra MD, Gupta RK, Aquitania GP, Ang BWC, Mae A Zabat G, Roa CC, Zoleta-De Jesus L, Yu DD, Wang M, Wu Y, Song WJ, Ying B, Qin CF. Efficacy, immunogenicity, and safety of a monovalent mRNA vaccine, ABO1020, in adults: A randomized, double-blind, placebo-controlled, phase 3 trial. MED 2024; 5:1282-1292.e3. [PMID: 39025066 DOI: 10.1016/j.medj.2024.06.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 04/29/2024] [Accepted: 06/25/2024] [Indexed: 07/20/2024]
Abstract
BACKGROUND ABO1020 is a monovalent COVID-19 mRNA vaccine. Results from a phase 1 trial showed ABO1020 was safe and well tolerated, and phase 3 trials to evaluate the efficacy, immunogenicity, and safety of ABO1020 in healthy adults are urgently needed. METHODS We conducted a multinational, randomized, placebo-controlled, double-blind, phase 3 trial among healthy adults (ClinicalTrials.gov: NCT05636319). Participants were randomly assigned (1:1) to receive either 2 doses of ABO1020 (15 μg per dose) or placebo, administered 28 days apart. The primary endpoint was the vaccine efficacy in preventing symptomatic COVID-19 cases that occurred at least 14 days post-full vaccination. The second endpoint included the neutralizing antibody titers against Omicron BA.5 and XBB and safety assessments. FINDINGS A total of 14,138 participants were randomly assigned to receive either vaccine or placebo (7,069 participants in each group). A total of 366 symptomatic COVID-19 cases were confirmed 14 days after the second dose among 93 participants in the ABO1020 group and 273 participants in the placebo group, yielding a vaccine efficacy of 66.18% (95% confidence interval: 57.21-73.27, p < 0.0001). A single dose or two doses of ABO1020 elicited potent neutralizing antibodies against both BA.5 and XBB.1.5. The safety profile of ABO1020 was characterized by transient, mild-to-moderate fever, pain at the injection site, and headache. CONCLUSION ABO1020 was well tolerated and conferred 66.18% protection against symptomatic COVID-19 in adults. FUNDING National Key Research and Development Project of China, Innovation Fund for Medical Sciences from the CAMS, National Natural Science Foundation of China.
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Affiliation(s)
- Suad Hannawi
- Internal Medicine Department, Al Kuwait-Dubai (Al Baraha) Hospital, Dubai, United Arab Emirates
| | - Xiao-Hong Wu
- National Institutes for Food and Drug Control, Beijing, China
| | | | - Erlina Burhan
- Department of Pulmonology and Respiratory Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia; Persahabatan Hospital, Jakarta, Indonesia
| | | | - Rakesh Kumar Gupta
- Department of Pulmonology, Lifecare Hospital, Abu Dhabi, United Arab Emirates
| | | | - Blake Warren C Ang
- Internal Medicine Department, Manuel J. Santos Hospital, Butuan, Philippines
| | - Gelza Mae A Zabat
- William T. Chua Center for Clinical Research, Health Cube Medical Clinics, Mandaluyong, Philippines
| | - Camilo C Roa
- Department of Medicine, Medical Center Manila, Manila, Philippines
| | | | - Dan-Dan Yu
- Abogen Biosciences, Suzhou Abogen Biosciences, Suzhou, China
| | - Meng Wang
- Abogen Biosciences, Suzhou Abogen Biosciences, Suzhou, China
| | - Yan Wu
- Abogen Biosciences, Suzhou Abogen Biosciences, Suzhou, China
| | - Wen-Jie Song
- Abogen Biosciences, Suzhou Abogen Biosciences, Suzhou, China
| | - Bo Ying
- Abogen Biosciences, Suzhou Abogen Biosciences, Suzhou, China.
| | - Cheng-Feng Qin
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences (AMMS), Beijing, China; Research Unit of Discovery and Tracing of Natural Focus Diseases, Chinese Academy of Medical Sciences, Beijing, China.
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Yang H, Wang Z, Wang C, Zhang Y, Han S, An Z. Cost-effectiveness of Azvudine for High-risk Outpatients with Mild-to-moderate Coronavirus Disease 2019 in China. Clin Ther 2024; 46:e1-e5. [PMID: 39155175 DOI: 10.1016/j.clinthera.2024.07.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 07/02/2024] [Accepted: 07/17/2024] [Indexed: 08/20/2024]
Abstract
PURPOSE This study aimed to evaluate the cost-effectiveness of Azvudine for the treatment of mild-to-moderate coronavirus disease 2019 in high-risk outpatients using real-world data and relevant references. METHODS In the decision-tree model, 2 cohorts were organized in a single center to compare the cost-effectiveness between the Azvudine plus symptomatic treatment group and the symptomatic treatment group. We calculated the cost and mortality rate for both groups. The incremental cost-effectiveness ratio was used to illustrate the cost-effectiveness. To assess the uncertainty of the model parameters, we conducted 1-way and probabilistic sensitivity analyses. FINDINGS In total, there were 804 outpatients included in the model. Among these, 317 patients received Azvudine plus symptomatic treatment, whereas the remaining 487 participants were treated with symptomatic treatment alone. The costs in the Azvudine and control groups were 1055.48 yuan and 2466.97 yuan and the survival rates were 100.00% and 98.70%, respectively. After calculation, the incremental cost-effectiveness ratio was determined to be -108,817.48 yuan per person. In the section of 1-way and probabilistic sensitivity analyses, Azvudine was still proven to be cost-effective. IMPLICATIONS Our results support the usage of Azvudine for the treatment of high-risk outpatients with mild-to-moderate coronavirus disease 2019 from economic perspective.
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Affiliation(s)
- Hui Yang
- Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Zhaojian Wang
- Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China; Department of Clinical Pharmacy, School of Pharmaceutical Science, Capital Medical University, Beijing, China
| | - Chunping Wang
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Science, Peking University, Beijing, China; International Research Center for Medicinal Administration, Peking University, Beijing, China
| | - Ying Zhang
- Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China; Department of Clinical Pharmacy, School of Pharmaceutical Science, Capital Medical University, Beijing, China; Department of Pharmacy, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Sheng Han
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Science, Peking University, Beijing, China; International Research Center for Medicinal Administration, Peking University, Beijing, China
| | - Zhuoling An
- Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
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Khosravi Shadmani F, Moradi G, Naghipour M, Torkaman Asadi F, Ahmadi A, Mirahmadizadeh A, Haghdoost AA, Mesgarpour B, Zahraei SM, Goya MM, Mokhtari M, Safari-Faramani R, Zomorrodi Zare F, Chegeni M, Najafi F. Evaluation of the COVID-19 vaccine effectiveness on the outcomes of COVID 19 disease in Iran: a test-negative case-control study. Front Immunol 2024; 15:1420651. [PMID: 39234259 PMCID: PMC11372784 DOI: 10.3389/fimmu.2024.1420651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2024] [Accepted: 07/29/2024] [Indexed: 09/06/2024] Open
Abstract
Introduction This study measures the COVID-19 vaccine effectiveness (CVE) against hospital admission and severe COVID-19. Methods This study is a test-negative case-control design using data from eight provinces in April, 2021 until March, 2022. The individuals were classified as cases and controls based on the results of the RT-PCR test for SARS-CoV-2 and matched based on the timing of the test being conducted as well as the timing of hospital admission. The measure of association was an odds ratio (OR) by univariate and multiple logistic regression. The multiple logistic regression has been carried out to take confounding factors and potential effect modifiers into account. The CVE was computed as CVE = (1 - OR)*100 with 95% confidence interval. Results Among 19314 admitted patients, of whom 13216 (68.4%) were cases and 6098 (31.6%) were controls, 1313 (6.8%) died. From total, 5959 (30.8%) patients had received the vaccine in which one, two, and booster doses were 2443 (12.6%), 2796 (14.5٪), and 720 (3.7٪), respectively. The estimated adjusted effectiveness of only one dose, two doses and booter vaccination were 22% (95% CI: 14%-29%), 35% (95% CI: 29%-41%) and 33% (95% CI: 16%-47%), respectively. In addition, the adjusted vaccine effectiveness against severe outcome was 33% (95% CI: 19%- 44%), 34% (95% CI: 20%- 45%) and 20% (95% CI: -29%- 50%) for those who received one, two and booster vaccinations, respectively. Conclusion Our study concluded that full vaccination, though less effective compared to similar studies elsewhere, decreased hospital admissions and deaths from COVID-19 in Iran, particularly during the Delta variant period, with an observed decline during the Omicron variant dominance.
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Affiliation(s)
- Fatemeh Khosravi Shadmani
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Ghobad Moradi
- Social Determinants of Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Mohammadreza Naghipour
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Fatemeh Torkaman Asadi
- Infectious Disease Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Ali Ahmadi
- Department of Epidemiology and Biostatistics, School of Health and, Modeling in Health Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | - Alireza Mirahmadizadeh
- Non-Communicable Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Ali Akbar Haghdoost
- Modeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
| | - Bita Mesgarpour
- National Institute for Medical Research Development (NIMAD), Tehran, Iran
| | - Seyed Mohsen Zahraei
- Center for Communicable Disease Control, Ministry of Health and Medical Education, Tehran, Iran
| | - Mohammad Mehdi Goya
- Center for Communicable Disease Control, Ministry of Health and Medical Education, Tehran, Iran
| | - Majid Mokhtari
- Skull Base Research Centre, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Roya Safari-Faramani
- Social Development and Health Promotion Research Center, Research Institute for Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Fariba Zomorrodi Zare
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Maryam Chegeni
- Department of Public Health, Khomein University of Medical Sciences, Khomein, Iran
| | - Farid Najafi
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
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Myrzakhmetova BS, Zhapparova GA, Bisenbayeva KB, Toytanova AS, Tuyskanova MS, Zhugunissov KD, Kutumbetov LB. Immune reactivity of two biological models to vaccination with inactivated vaccine QazVac against coronavirus infection COVID-19. Vopr Virusol 2024; 69:219-230. [PMID: 38996371 DOI: 10.36233/0507-4088-222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Indexed: 07/14/2024]
Abstract
INTRODUCTION Specific prevention of a number of infectious diseases has been introduced into the vaccination schedule. The production of immunoprophylactic drugs, in order to establish standard properties, including safety and specific effectiveness, requires strict adherence to manufacturing regulations, and the reliability of the results obtained requires monitoring of these parameters. The specific effectiveness of vaccine preparations is standardized according to the indicators of stimulation of specific antibody response formed in the body of vaccinated model biological objects. OBJECTIVE Determination of the immune reactivity of white mice to vaccination with the QazVac vaccine to establish the possibility of using them as a biological model in assessing the immunogenicity of the vaccine instead of Syrian hamsters. MATERIALS AND METHODS The immune reactivity of model animals was assessed by the seroconversion rate, dynamics of antibody titers to the SARS-CoV-2 virus formed in the body after vaccination with the test vaccine. In the case of seropositivity of animals before administration of vaccine or placebo, the level of immune reactivity was calculated by the difference in antibody titers between control and vaccinated animals or by the difference in antibody titers before and after immunization. Specific antibodies were detected and their titer was determined using a neutralization reaction. RESULTS The research results showed that the tested biological models had approximately the same immune reactivity to the administration of the QazVac vaccine, confirmed by the level and dynamics of antibody titers. When analyzing the fold increase in antibody titers in comparison to those of control animals, Syrian hamsters were more reactive compared to mice. But SPF white mice were standardized in their lack of the immune reactivity to SARS-CoV-2 virus before the immunization. CONCLUSION The data obtained indicate that the immune reactivity of white mice to the administration of the QazVac vaccine in terms of the rate and dynamics of the formation of virus-neutralizing antibodies is approximately equivalent to the immune reactivity of Syrian hamsters. Before immunization with the vaccine, SPF white mice, in contrast to Syrian hamsters, do not have humoral immunity specific to the SARS-CoV-2 virus. The immune reactivity equivalent to that observed of Syrian hamsters and the absence of antibodies to the SARS-CoV-2 virus at a baseline indicate the superiority of the use of white mice in assessing the immunogenicity of vaccines against COVID-19 and/or obtaining specific factors of humoral immunity.
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Wang W, Zhou J, Kong X, Wang Y, Wu Q, Gong X, Tai J, Pan Y, Huang H, Zhao Z, Jiang M, Liu J. Safety and efficacy of COVID-19 vaccination in the Chinese population with pulmonary lymphangioleiomyomatosis: a single-center retrospective study. Orphanet J Rare Dis 2024; 19:247. [PMID: 38956624 PMCID: PMC11220960 DOI: 10.1186/s13023-024-03260-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Accepted: 06/16/2024] [Indexed: 07/04/2024] Open
Abstract
BACKGROUND The safety and efficacy of vaccination against coronavirus disease 2019 (COVID-19) in patients with lymphangioleiomyomatosis (LAM) is still unclear. This study investigates COVID-19 vaccine hesitancy, vaccine safety and efficacy, and COVID-19 symptoms in LAM patients. RESULTS In total, 181 LAM patients and 143 healthy individuals responded to the questionnaire. The vaccination rate of LAM patients was 77.34%, and 15.7% of vaccinated LAM patients experienced adverse events. Vaccination decreased the risk of LAM patients developing anorexia [OR: 0.17, 95% CI: (0.07, 0.43)], myalgia [OR: 0.34, 95% CI: (0.13, 0.84)], and ageusia [OR: 0.34, 95% CI: (0.14, 0.84)]. In LAM patients, a use of mTOR inhibitors reduced the risk of developing symptoms during COVID-19, including fatigue [OR: 0.18, 95% CI: (0.03, 0.95)], anorexia [OR: 0.30, 95% CI: (0.09, 0.96)], and ageusia [OR: 0.20, 95% CI: (0.06, 0.67)]. CONCLUSIONS Vaccination rates in the LAM population were lower than those in the general population, as 22.7% (41/181) of LAM patients had hesitations regarding the COVID-19 vaccine. However, the safety of COVID-19 vaccination in the LAM cohort was comparable to the healthy population, and COVID-19 vaccination decreased the incidence of COVID-19 symptoms in LAM patients. In addition, mTOR inhibitors seem not to determine a greater risk of complications in patients with LAM during COVID-19.
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Affiliation(s)
- Weilin Wang
- Nanshan College, Guangzhou Medical University, Guangzhou, China
| | - Jingdong Zhou
- Nanshan College, Guangzhou Medical University, Guangzhou, China
| | - Xuetao Kong
- School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Yixuan Wang
- Nanshan College, Guangzhou Medical University, Guangzhou, China
| | - Qixian Wu
- Nanshan College, Guangzhou Medical University, Guangzhou, China
| | - Xiaoqing Gong
- First Clinical College, Guangzhou Medical University, Guangzhou, China
| | - Jingye Tai
- Nanshan College, Guangzhou Medical University, Guangzhou, China
| | - Yingxin Pan
- Department of Respiratory and Critical Care Medicine, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Diseases, National Clinical Medical Research Center for Respiratory Diseases, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Hongyuan Huang
- Department of Respiratory and Critical Care Medicine, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Diseases, National Clinical Medical Research Center for Respiratory Diseases, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhen Zhao
- Department of Respiratory and Critical Care Medicine, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Diseases, National Clinical Medical Research Center for Respiratory Diseases, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Mei Jiang
- Department of Respiratory and Critical Care Medicine, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Diseases, National Clinical Medical Research Center for Respiratory Diseases, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
| | - Jie Liu
- Department of Respiratory and Critical Care Medicine, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Diseases, National Clinical Medical Research Center for Respiratory Diseases, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
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8
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Chang E, Li H, Zheng W, Zhou L, Jia Y, Gu W, Cao Y, Zhu X, Xu J, Liu B, You M, Liu K, Wang M, Huang W. Economic Evaluation of COVID-19 Immunization Strategies: A Systematic Review and Narrative Synthesis. APPLIED HEALTH ECONOMICS AND HEALTH POLICY 2024; 22:457-470. [PMID: 38598091 DOI: 10.1007/s40258-024-00880-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/17/2024] [Indexed: 04/11/2024]
Abstract
OBJECTIVES This study aimed to systematically assess global economic evaluation studies on COVID-19 vaccination, offer valuable insights for future economic evaluations, and assist policymakers in making evidence-based decisions regarding the implementation of COVID-19 vaccination. METHODS Searches were performed from January 2020 to September 2023 across seven English databases (PubMed, Web of Science, MEDLINE, EBSCO, KCL-Korean Journal Dataset, SciELO Citation Index, and Derwent Innovations Index) and three Chinese databases (Wanfang Data, China Science and Technology Journal, and CNKI). Rigorous inclusion and exclusion criteria were applied. Data were extracted from eligible studies using a standardized data collection form, with the reporting quality of these studies assessed using the Consolidated Health Economic Evaluation Reporting Standards 2022 (CHEERS 2022). RESULTS Of the 40 studies included in the final review, the overall reporting quality was good, evidenced by a mean score of 22.6 (ranging from 10.5 to 28). Given the significant heterogeneity in fundamental aspects among the studies reviewed, a narrative synthesis was conducted. Most of these studies adopted a health system or societal perspective. They predominantly utilized a composite model, merging dynamic and static methods, within short to medium-term time horizons to simulate various vaccination strategies. The research strategies varied among studies, investigating different doses, dosages, brands, mechanisms, efficacies, vaccination coverage rates, deployment speeds, and priority target groups. Three pivotal parameters notably influenced the evaluation results: the vaccine's effectiveness, its cost, and the basic reproductive number (R0). Despite variations in model structures, baseline parameters, and assumptions utilized, all studies identified a general trend that COVID-19 vaccination is cost-effective compared to no vaccination or intervention. CONCLUSIONS The current review confirmed that COVID-19 vaccination is a cost-effective alternative in preventing and controlling COVID-19. In addition, it highlights the profound impact of variables such as dose size, target population, vaccine efficacy, speed of vaccination, and diversity of vaccine brands and mechanisms on cost effectiveness, and also proposes practical and effective strategies for improving COVID-19 vaccination campaigns from the perspective of economic evaluation.
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Affiliation(s)
- Enxue Chang
- School of Health Management, Harbin Medical University, Harbin, China
| | - Haofei Li
- School of Health Management, Harbin Medical University, Harbin, China
| | - Wanji Zheng
- School of Health Management, Harbin Medical University, Harbin, China
| | - Lan Zhou
- School of Health Management, Harbin Medical University, Harbin, China
| | - Yanni Jia
- School of Health Management, Harbin Medical University, Harbin, China
| | - Wen Gu
- School of Health Management, Harbin Medical University, Harbin, China
| | - Yiyin Cao
- School of Health Management, Harbin Medical University, Harbin, China
| | - Xiaoying Zhu
- School of Elderly Care Services and Management, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
- Nossal Institute for Global Health, School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.
| | - Juan Xu
- Cancer Hospital Chinese Academy of Medical Sciences, Shenzhen Center, Shenzhen, China
| | - Bo Liu
- Shenzhen Health Capacity Building and Continuing Education Center, Shenzhen, China
| | - Mao You
- National Health Development Research Center, Beijing, 100191, China
| | - Kejun Liu
- National Health Development Research Center, Beijing, 100191, China.
| | - Mingsi Wang
- School of Health Management, Harbin Medical University, Harbin, China.
| | - Weidong Huang
- School of Health Management, Harbin Medical University, Harbin, China.
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Liu LL, Liao YW, Yu XH, Rong L, Chen BG, Chen G, Zeng GK, Yang LY. Clinical characteristics and prognostic factors of COVID-19 infection among cancer patients during the December 2022 - February 2023 Omicron variant outbreak. Front Med (Lausanne) 2024; 11:1401439. [PMID: 38873204 PMCID: PMC11171418 DOI: 10.3389/fmed.2024.1401439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 05/16/2024] [Indexed: 06/15/2024] Open
Abstract
OBJECTIVE To analyze the clinical characteristics and prognostic impacts of SARS-CoV-2 Omicron infection among cancer inpatients during the December 2022 - February 2023 surge, in order to provide scientific evidence for clinical treatment and prevention and control measures. METHODS A retrospective analysis was conducted on the clinical features, prognosis, and vaccination status of cancer in-patients infected with the Omicron variant during the COVID-19 pandemic of December 2022 - February 2023. RESULTS A total of 137 cancer inpatients were included in the study, with a median age of 61 years, and 75 patients (54.74%) were male. The main symptoms were cough (69 cases, 50.36%), expectoration (60 cases, 43.80%), and fever (53 cases, 39.69%). Chest CT examination revealed bilateral pneumonia in 47 cases (34.31%, 47/137) and pleural effusion in 24 cases (17.52%, 24/137). Among the cancer patients, 116 cases (84.67%, 116/137) had solid tumors, and 21 cases (15.33%, 21/137) had hematologic malignancies, with the main types being breast cancer (25 cases, 18.25%) and lung cancer (24 cases, 17.52%). Among the cancer patients, 46 cases (33.58%) were asymptomatic, 81 cases (59.12%) had mild disease, 10 cases (7.30%) had severe infection, and 8 cases (5.84%) died. A total of 91 patients (66.42%) had been vaccinated, with 58 patients (42.34%) receiving three doses. Multivariate analysis showed that cerebral infarction and hypoproteinemia were risk factors for death from COVID-19 infection. CONCLUSION Cancer patients infected with SARS-CoV-2 Omicron typically exhibit mild disease manifestations, but some cancer patients infected with the Omicron variant might progress to severe illness, and even death, necessitating close monitoring and attention during the early stages of infection. Additionally, the presence of cerebral infarction and hypoproteinemia significantly increases the risk of death.
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Affiliation(s)
- Li-Li Liu
- Precision Medical Laboratory Center, People’s Hospital of Yangjiang Affiliated to Guangdong Medical University, Yangjiang, Guangdong, China
- Key Laboratory of Respiratory Disease of Yangjiang, People’s Hospital of Yangjiang Affiliated to Guangdong Medical University, Yangjiang, Guangdong, China
- Yangjiang Branch of Biochip Beijing National Engineering Research Center, People’s Hospital of Yangjiang Affiliated to Guangdong Medical University, Yangjiang, Guangdong, China
| | - Yu-Wei Liao
- Precision Medical Laboratory Center, People’s Hospital of Yangjiang Affiliated to Guangdong Medical University, Yangjiang, Guangdong, China
- Key Laboratory of Respiratory Disease of Yangjiang, People’s Hospital of Yangjiang Affiliated to Guangdong Medical University, Yangjiang, Guangdong, China
- Yangjiang Branch of Biochip Beijing National Engineering Research Center, People’s Hospital of Yangjiang Affiliated to Guangdong Medical University, Yangjiang, Guangdong, China
| | - Xiao-Hua Yu
- Precision Medical Laboratory Center, People’s Hospital of Yangjiang Affiliated to Guangdong Medical University, Yangjiang, Guangdong, China
- Key Laboratory of Respiratory Disease of Yangjiang, People’s Hospital of Yangjiang Affiliated to Guangdong Medical University, Yangjiang, Guangdong, China
- Yangjiang Branch of Biochip Beijing National Engineering Research Center, People’s Hospital of Yangjiang Affiliated to Guangdong Medical University, Yangjiang, Guangdong, China
| | - Ling Rong
- Department of Respiratory Diseases and Intensive Care Medicine, People’s Hospital of Yangjiang Affiliated to Guangdong Medical University, Yangjiang, Guangdong, China
| | - Bi-Gui Chen
- Department of Respiratory Diseases and Intensive Care Medicine, People’s Hospital of Yangjiang Affiliated to Guangdong Medical University, Yangjiang, Guangdong, China
| | - Gang Chen
- Department of Oncology, People’s Hospital of Yangjiang Affiliated to Guangdong Medical University, Yangjiang, Guangdong, China
| | - Guang-Kuan Zeng
- Precision Medical Laboratory Center, People’s Hospital of Yangjiang Affiliated to Guangdong Medical University, Yangjiang, Guangdong, China
- Key Laboratory of Respiratory Disease of Yangjiang, People’s Hospital of Yangjiang Affiliated to Guangdong Medical University, Yangjiang, Guangdong, China
- Yangjiang Branch of Biochip Beijing National Engineering Research Center, People’s Hospital of Yangjiang Affiliated to Guangdong Medical University, Yangjiang, Guangdong, China
| | - Li-Ye Yang
- Precision Medical Laboratory Center, People’s Hospital of Yangjiang Affiliated to Guangdong Medical University, Yangjiang, Guangdong, China
- Key Laboratory of Respiratory Disease of Yangjiang, People’s Hospital of Yangjiang Affiliated to Guangdong Medical University, Yangjiang, Guangdong, China
- Yangjiang Branch of Biochip Beijing National Engineering Research Center, People’s Hospital of Yangjiang Affiliated to Guangdong Medical University, Yangjiang, Guangdong, China
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10
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Ye W, Li K, Zhao Z, Wu S, Qu H, Guo Y, Abudunaibi B, Chen W, Cai S, Chen C, Lin J, Xie Z, Zhan M, Ou J, Deng Y, Chen T, Zheng K. Inactivated vaccine effectiveness against symptomatic COVID-19 in Fujian, China during the Omicron BA.2 outbreak. Front Public Health 2023; 11:1269194. [PMID: 38162626 PMCID: PMC10757624 DOI: 10.3389/fpubh.2023.1269194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 11/10/2023] [Indexed: 01/03/2024] Open
Abstract
Objective More than 90% of the Chinese population have completed 2 doses of inactivated COVID-19 vaccines in Mainland China. However, after China government abandoned strict control measures, many breakthrough infections appeared, and vaccine effectiveness against Omicron BA.2 infection was uncertain. This study aims to investigate the real-world effectiveness of widely used inactivated vaccines during the wave of Omicron variants. Methods Test-negative case-control study was conducted in this study to analyze the vaccine effectiveness against symptomatic disease caused by the Omicron variant (BA.2) in Fujian, China. Conditional logistic regression was selected to estimate the vaccine effectiveness. Results The study found the vaccine effectiveness against symptomatic COVID-19 is 32.46% (95% CI, 8.08% to 50.37%) at 2 to 8 weeks, and 27.05% (95% CI, 1.23% to 46.12%) at 12 to 24 weeks after receiving booster doses of the inactivated vaccine. Notably, the 3-17 years group had higher vaccine effectiveness after 2 doses than the 18-64 years and over 65 years groups who received booster doses. Conclusion Inactivated vaccines alone may not offer sufficient protection for all age groups before the summer of 2022. To enhance protection, other types of vaccines or bivalent vaccines should be considered.
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Affiliation(s)
- Wenjing Ye
- Institute of Emergency Response and Epidemic Management, Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China
| | - Kangguo Li
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang an Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, Xiamen, China
| | - Zeyu Zhao
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang an Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, Xiamen, China
| | - Shenggen Wu
- Institute of Emergency Response and Epidemic Management, Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China
| | - Huimin Qu
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang an Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, Xiamen, China
| | - Yichao Guo
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang an Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, Xiamen, China
| | - Buasiyamu Abudunaibi
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang an Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, Xiamen, China
| | - Wu Chen
- Institute of Emergency Response and Epidemic Management, Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China
| | - Shaojian Cai
- Institute of Emergency Response and Epidemic Management, Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China
| | - Cailin Chen
- Institute of Emergency Response and Epidemic Management, Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China
| | - Jiawei Lin
- Institute of Emergency Response and Epidemic Management, Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China
| | - Zhonghang Xie
- Institute of Emergency Response and Epidemic Management, Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China
| | - Meirong Zhan
- Institute of Emergency Response and Epidemic Management, Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China
| | - Jianming Ou
- Institute of Emergency Response and Epidemic Management, Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China
| | - Yanqin Deng
- Institute of Emergency Response and Epidemic Management, Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China
| | - Tianmu Chen
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang an Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, Xiamen, China
| | - Kuicheng Zheng
- Institute of Emergency Response and Epidemic Management, Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China
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11
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Thakkar K, Spinardi JR, Yang J, Kyaw MH, Ozbilgili E, Mendoza CF, Oh HML. Impact of vaccination and non-pharmacological interventions on COVID-19: a review of simulation modeling studies in Asia. Front Public Health 2023; 11:1252719. [PMID: 37818298 PMCID: PMC10560858 DOI: 10.3389/fpubh.2023.1252719] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 09/07/2023] [Indexed: 10/12/2023] Open
Abstract
Introduction Epidemiological modeling is widely used to offer insights into the COVID-19 pandemic situation in Asia. We reviewed published computational (mathematical/simulation) models conducted in Asia that assessed impacts of pharmacological and non-pharmacological interventions against COVID-19 and their implications for vaccination strategy. Methods A search of the PubMed database for peer-reviewed, published, and accessible articles in English was performed up to November 2022 to capture studies in Asian populations based on computational modeling of outcomes in the COVID-19 pandemic. Extracted data included model type (mechanistic compartmental/agent-based, statistical, both), intervention type (pharmacological, non-pharmacological), and procedures for parameterizing age. Findings are summarized with descriptive statistics and discussed in terms of the evolving COVID-19 situation. Results The literature search identified 378 results, of which 59 met criteria for data extraction. China, Japan, and South Korea accounted for approximately half of studies, with fewer from South and South-East Asia. Mechanistic models were most common, either compartmental (61.0%), agent-based (1.7%), or combination (18.6%) models. Statistical modeling was applied less frequently (11.9%). Pharmacological interventions were examined in 59.3% of studies, and most considered vaccination, except one study of an antiviral treatment. Non-pharmacological interventions were also considered in 84.7% of studies. Infection, hospitalization, and mortality were outcomes in 91.5%, 30.5%, and 30.5% of studies, respectively. Approximately a third of studies accounted for age, including 10 that also examined mortality. Four of these studies emphasized benefits in terms of mortality from prioritizing older adults for vaccination under conditions of a limited supply; however, one study noted potential benefits to infection rates from early vaccination of younger adults. Few studies (5.1%) considered the impact of vaccination among children. Conclusion Early in the COVID-19 pandemic, non-pharmacological interventions helped to mitigate the health burden of COVID-19; however, modeling indicates that high population coverage of effective vaccines will complement and reduce reliance on such interventions. Thus, increasing and maintaining immunity levels in populations through regular booster shots, particularly among at-risk and vulnerable groups, including older adults, might help to protect public health. Future modeling efforts should consider new vaccines and alternative therapies alongside an evolving virus in populations with varied vaccination histories.
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Affiliation(s)
- Karan Thakkar
- Vaccine Medical Affairs, Emerging Markets, Pfizer Inc., Singapore, Singapore
| | | | - Jingyan Yang
- Vaccine Global Value and Access, Pfizer Inc., New York, NY, United States
| | - Moe H. Kyaw
- Vaccine Medical Affairs, Emerging Markets, Pfizer Inc., Reston, VA, United States
| | - Egemen Ozbilgili
- Asia Cluster Medical Affairs, Emerging Markets, Pfizer Inc., Singapore, Singapore
| | | | - Helen May Lin Oh
- Department of Infectious Diseases, Changi General Hospital, Singapore, Singapore
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12
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Liu M, Zhang J, Li L, Tian J, Yang M, Shang B, Wang X, Li M, Li H, Yue C, Yao S, Lin Y, Guo Y, Zong K, Zhang D, Zhao Y, Cai K, Dong S, Xu S, Zhan J, Gao GF, Liu WJ. Inactivated vaccine fueled adaptive immune responses to Omicron in 2-year COVID-19 convalescents. J Med Virol 2023; 95:e28998. [PMID: 37548149 DOI: 10.1002/jmv.28998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 07/04/2023] [Accepted: 07/05/2023] [Indexed: 08/08/2023]
Abstract
Over 3 years, humans have experienced multiple rounds of global transmission of SARS-CoV-2 and its variants. In addition, the widely used vaccines against SARS-CoV-2 involve multiple strategies of development and inoculation. Thus, the acquired immunity established among humans is complicated, and there is a lack of understanding within a panoramic vision. Here, we provided the special characteristics of the cellular and humoral responses in 2-year convalescents after inactivated vaccines, in parallel to vaccinated COVID-19 naïve persons and unvaccinated controls. The decreasing trends of the IgG, IgA, and NAb, but not IgM of the convalescents were reversed by the vaccination. Both cellular and humoral immunity in convalescents after vaccination were higher than the vaccinated COVID-19 naïve persons. Notably, inoculation with inactivated vaccine fueled the NAb to BA.1, BA.2, BA.4, and BA.5 in 2-year convalescents, much higher than the NAb during 6 months and 1 year after symptoms onset. And no obvious T cell escaping to the S protein was observed in 2-year convalescents after inoculation. The study provides insight into the complicated features of human acquired immunity to SARS-CoV-2 and variants in the real world, indicating that promoting vaccine inoculation is essential for achieving herd immunity against emerging variants, especially in convalescents.
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Affiliation(s)
- Maoshun Liu
- Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Jie Zhang
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Infectious Diseases, Beijing, China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Lei Li
- Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Jinmin Tian
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- School of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou, China
| | - Mengjie Yang
- Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Bingli Shang
- Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Xin Wang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Shandong, China
| | - Min Li
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Hongmei Li
- Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Can Yue
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
| | - Sijia Yao
- Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Ying Lin
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Shandong, China
| | - Yuanyuan Guo
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Shandong, China
| | - Kexin Zong
- Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Danni Zhang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Yingze Zhao
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Kun Cai
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Shaobo Dong
- Macheng Center for Disease Control and Prevention, Huanggang, China
| | - Shengping Xu
- Macheng Center for Disease Control and Prevention, Huanggang, China
| | - Jianbo Zhan
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - George F Gao
- Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- School of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
- Research Unit of Adaptive Evolution and Control of Emerging Viruses, Chinese Academy of Medical Sciences, Beijing, China
| | - William J Liu
- Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- Research Unit of Adaptive Evolution and Control of Emerging Viruses, Chinese Academy of Medical Sciences, Beijing, China
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13
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Huang LL, Hong WW, Hu WW, Guan XH, Jiang YH. Understanding factors affecting Chinese medical staff's fear of receiving the fourth dose of COVID-19 vaccine: A cross-sectional study in Taizhou. Hum Vaccin Immunother 2023; 19:2261201. [PMID: 37920885 PMCID: PMC10627059 DOI: 10.1080/21645515.2023.2261201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 09/18/2023] [Indexed: 11/04/2023] Open
Abstract
The study was conducted to assess medical staffs' fear of receiving the fourth dose of the Coronavirus disease 2019 (COVID-19) vaccine. From December 17, 2022, to January 31, 2023, an online survey was conducted to assess the fear among medical staffs regarding the administration of the fourth dose of the COVID-19 vaccine. The participants were exclusively drawn from a tertiary grade hospital in Taizhou. Out of the 1, 832 medical staffs invited to participate in the questionnaire, a total of 613 (33.5%) provided valid responses for subsequent analysis. Among them, 81 (13.8%) expressed fear of receiving the fourth dose of COVID-19. The fear was significantly influenced by these factors: the presence of serious food/drug allergic reactions (OR = 3.84, 95% CI: 1.40-10.52), received booster COVID-19 vaccine (OR = 0.20, 95% CI: 0.11-0.35), opinion on vaccination requirement (OR = 0.20, 95% CI: 0.11-0.35), viewpoint (OR = 0.23, 95% CI: 0.12-0.44) with scores ≥10, and positive attitude toward vaccination (OR = 0.21, 95% CI: 0.13-0.35). Our study revealed that a subset of medical staffs still harbor apprehension toward receiving the fourth dose of the new COVID-19 vaccine. Factors influencing this fear encompass allergic reactions, booster COVID-19 vaccine, as well as opinion, viewpoint, and attitude toward vaccination. Educating medical staffs on these factors may help mitigate their fear.
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Affiliation(s)
- Li-Li Huang
- Department of Emergency, Taizhou First People’s Hospital, Taizhou, Zhejiang, China
| | - Wei-Wen Hong
- Department of Anus & Intestine Surgery, Taizhou First People’s Hospital, Taizhou, Zhejiang, China
| | - Wei-Wei Hu
- Department of General Surgery, Taizhou First People’s Hospital, Taizhou, Zhejiang, China
| | - Xian-Hua Guan
- Intensive Care Unit, Taizhou First People’s Hospital, Huangyan, Zhejiang, China
| | - Yan-Hong Jiang
- Department of Outpatient, Taizhou First People’s Hospital, Taizhou, Zhejiang, China
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14
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Du M, Qin C, Liu M, Liu J. Cost-Effectiveness Analysis of COVID-19 Inactivated Vaccines in Reducing the Economic Burden of Ischaemic Stroke after SARS-CoV-2 Infection. Vaccines (Basel) 2023; 11:957. [PMID: 37243061 PMCID: PMC10224220 DOI: 10.3390/vaccines11050957] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 04/24/2023] [Accepted: 05/06/2023] [Indexed: 05/28/2023] Open
Abstract
Due to significant economic burden and disability from ischaemic stroke and the relationship between ischaemic stroke and SARS-CoV-2 infection, we aimed to explore the cost-effectiveness of the two-dose inactivated COVID-19 vaccination program in reducing the economic burden of ischaemic stroke after SARS-CoV-2 infection. We constructed a decision-analytic Markov model to compare the two-dose inactivated COVID-19 vaccination strategy to the no vaccination strategy using cohort simulation. We calculated incremental cost-effectiveness ratios (ICERs) to evaluate the cost-effectiveness and used number of the ischaemic stroke cases after SARS-CoV-2 infection and quality-adjusted life-years (QALYs) to assess effects. Both one-way deterministic sensitivity analysis and probabilistic sensitivity analysis were performed to assess the robustness of the results. We found that the two-dose inactivated vaccination strategy reduced ischaemic stroke cases after SARS-CoV-2 infection by 80.89% (127/157) with a USD 1.09 million as vaccination program cost, saved USD 3675.69 million as direct health care costs and gained 26.56 million QALYs compared with no vaccination strategy among 100,000 COVID-19 patients (ICER < 0 per QALY gained). ICERs remained robust in sensitivity analysis. The proportion of older patients and the proportion of two-dose inactivated vaccination among older people were the critical factors that affected ICER. This study suggests the importance of COVID-19 vaccination is not only in preventing the spread of infectious diseases, but also in considering its long-term value in reducing the economic burden of non-communicable diseases such as ischaemic stroke after SARS-CoV-2 infection.
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Affiliation(s)
- Min Du
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38, Xueyuan Road, Haidian District, Beijing 100191, China
| | - Chenyuan Qin
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38, Xueyuan Road, Haidian District, Beijing 100191, China
| | - Min Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38, Xueyuan Road, Haidian District, Beijing 100191, China
| | - Jue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38, Xueyuan Road, Haidian District, Beijing 100191, China
- Institute for Global Health and Development, Peking University, No. 5, Yiheyuan Road, Haidian District, Beijing 100871, China
- Department of Global Health and Population, Harvard TH Chan School of Public Health, 677 Huntington Avenue Boston, Boston, MA 02115, USA
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15
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Xu S, Li J, Wang H, Wang F, Yin Z, Wang Z. Real-world effectiveness and factors associated with effectiveness of inactivated SARS-CoV-2 vaccines: a systematic review and meta-regression analysis. BMC Med 2023; 21:160. [PMID: 37106390 PMCID: PMC10134725 DOI: 10.1186/s12916-023-02861-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 04/04/2023] [Indexed: 04/29/2023] Open
Abstract
BACKGROUND The two inactivated SARS-CoV-2 vaccines, CoronaVac and BBIBP-CorV, have been widely used to control the COVID-19 pandemic. The influence of multiple factors on inactivated vaccine effectiveness (VE) during long-term use and against variants is not well understood. METHODS We selected published or preprinted articles from PubMed, Embase, Scopus, Web of Science, medRxiv, BioRxiv, and the WHO COVID-19 database by 31 August 2022. We included observational studies that assessed the VE of completed primary series or homologous booster against SARS-CoV-2 infection or severe COVID-19. We used DerSimonian and Laird random-effects models to calculate pooled estimates and conducted multiple meta-regression with an information theoretic approach based on Akaike's Information Criterion to select the model and identify the factors associated with VE. RESULTS Fifty-one eligible studies with 151 estimates were included. For prevention of infection, VE associated with study region, variants, and time since vaccination; VE was significantly decreased against Omicron compared to Alpha (P = 0.021), primary series VE was 52.8% (95% CI, 43.3 to 60.7%) against Delta and 16.4% (95% CI, 9.5 to 22.8%) against Omicron, and booster dose VE was 65.2% (95% CI, 48.3 to 76.6%) against Delta and 20.3% (95% CI, 10.5 to 28.0%) against Omicron; primary VE decreased significantly after 180 days (P = 0.022). For the prevention of severe COVID-19, VE associated with vaccine doses, age, study region, variants, study design, and study population type; booster VE increased significantly (P = 0.001) compared to primary; though VE decreased significantly against Gamma (P = 0.034), Delta (P = 0.001), and Omicron (P = 0.001) compared to Alpha, primary and booster VEs were all above 60% against each variant. CONCLUSIONS Inactivated vaccine protection against SARS-CoV-2 infection was moderate, decreased significantly after 6 months following primary vaccination, and was restored by booster vaccination. VE against severe COVID-19 was greatest after boosting and did not decrease over time, sustained for over 6 months after the primary series, and more evidence is needed to assess the duration of booster VE. VE varied by variants, most notably against Omicron. It is necessary to ensure booster vaccination of everyone eligible for SARS-CoV-2 vaccines and continue monitoring virus evolution and VE. TRIAL REGISTRATION PROSPERO, CRD42022353272.
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Affiliation(s)
- Shiyao Xu
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China
| | - Jincheng Li
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China
| | - Hongyuan Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Fuzhen Wang
- Chinese Center for Disease Control and Prevention, National Immunization Programme, Beijing, China
| | - Zundong Yin
- Chinese Center for Disease Control and Prevention, National Immunization Programme, Beijing, China.
| | - Zhifeng Wang
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China.
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16
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Fu Y, Zhao J, Han P, Zhang J, Wang Q, Wang Q, Wei X, Yang L, Ren T, Zhan S, Li L. Cost-effectiveness of COVID-19 vaccination: A systematic review. J Evid Based Med 2023. [PMID: 37186130 DOI: 10.1111/jebm.12525] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 03/17/2023] [Indexed: 05/17/2023]
Abstract
OBJECTIVE The COVID-19 vaccination strategy has been widely used to protect population health worldwide. This study aims to summarize the cost-effectiveness evidence of economic evaluation of COVID-19 vaccination strategies to provide evidence supporting the usage of COVID-19 vaccination, especially where the supply of COVID-19 vaccine is limited. METHODS A systematic literature review was performed by searching both English and Chinese databases, including PubMed, Embase, Science Direct, Web of Science, Medline, Scopus, and CNKI. Articles published from January 1, 2020 to August 1, 2022 (PROSPERO registration number: CRD42022355442). RESULTS Of the 1035 papers identified, a total of 28 English studies that met the preset criteria were included. COVID-19 vaccination and booster vaccination were cost-effective or cost-saving regardless of the vaccine type; vaccine efficacy, vaccine price, vaccine supply or prioritization, and vaccination pace were the influential factors of cost-effectiveness among different population groups. When supply is adequate, mass vaccination should be encouraged, while when supply is inadequate, prioritizing the high risk and the elderly is more cost-effective. CONCLUSIONS COVID-19 vaccination strategies are economically favorable in a wide range of countries and population groups, and further research on suitable strategies for booster COVID-19 vaccination is needed.
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Affiliation(s)
- Yaqun Fu
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China
| | - Jingyu Zhao
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China
| | - Peien Han
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China
| | - Jiawei Zhang
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China
| | - Quan Wang
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China
- Brown School, Washington University in St. Louis, St. Louis MO, U.S., St. Louis, United States
| | - Qingbo Wang
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China
| | - Xia Wei
- Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK
| | - Li Yang
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China
| | - Tao Ren
- School of Public Health, Peking University, Beijing, China
| | - Siyan Zhan
- Department of Epidemiology and Health Statistics, School of Public Health, Peking University, Beijing, China
| | - Liming Li
- Department of Epidemiology and Health Statistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
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17
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Barzegar M, Manteghinejad A, Afshari-Safavi A, Mirmosayyeb O, Nasirian M, Bagherieh S, Mazaheri S, Rahimi M, zabeti A, Javanmard SH, Shaygannejad V. Effectiveness of BBIBP-CorV vaccine in preventing SARS-CoV2 infection and severe outcomes in people living with multiple sclerosis: A population-based study. Mult Scler Relat Disord 2023; 71:104548. [PMID: 36827877 PMCID: PMC9894758 DOI: 10.1016/j.msard.2023.104548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 01/08/2023] [Accepted: 01/31/2023] [Indexed: 02/05/2023]
Abstract
BACKGROUND The objective of the present study was to estimate the effectiveness of the BBIBP-CorV vaccine (VE) in preventing SARS-CoV-2 infection, related hospitalization, and death among people living with multiple sclerosis (PLWMS). METHODS In this population-based retrospective observational study, data on all PLWMS, vaccination, SARS-CoV-2 tests, hospitalization, and deaths were collected in Isfahan, Iran between February 9, 2021, and November 4, 2021. We estimated the hazard ratio between vaccinated (partially and fully) and unvaccinated groups using the Andersen-Gill extension of the Cox proportional hazards model. We also performed Cox proportional hazards analysis to identify risk factors for breakthrough infection and COVID-19-related hospitalization in fully-immunized group. RESULTS Of the 9869 PLWMS, 1368 were in partially-vaccinated group, 4107 were in the fully-vaccinated group, and 3794 were in the unvaccinated group. In the partially-vaccinated group, the estimated VE against COVID-19 infection was 39.3% (16%, 56.1%), hospitalization was 64.9% (1.3%, 87.5%), and mortality was 92.7% (88.8%, 100%). The respective results for the fully-vaccinated group were 63.9% (56%, 70.3%), 75.7% (57.5%, 86.1%), and 100%. Progressive MS was independently associated with a greater risk of breakthrough infection (HR=1.952, 95%CI: 1.174-3.246, p = 0.010). Older adults (≥50 years vs. 18-49 years, HR=3.115, 95%CI: 1.145-8.470, p = 0.026) and those on rituximab (HR=7.584; 95% CI: 1.864-30.854; p = 0.005) were at an increased risk of COVID-19-related hospitalization. CONCLUSION This study showed that two doses of the BBIBP-CorV vaccine can effectively prevent COVID-19 infection and hospitalization among PLWMS. Old PLWMS and those who treating with rituximab are at increased risk of hospitalization after receiving two doses of the vaccine.
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Affiliation(s)
- Mahdi Barzegar
- Department of Neurology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran,Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Amirreza Manteghinejad
- Cancer Prevention Research Center, Omid Hospital, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Alireza Afshari-Safavi
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran,Department of Biostatistics and Epidemiology, Faculty of Health, North Khorasan University of Medical Sciences, Bojnurd, Iran
| | - Omid Mirmosayyeb
- Department of Neurology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran,Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Maryam Nasirian
- Department of Biostatistics and Epidemiology, Faculty of Health, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Sara Bagherieh
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Shahrbanoo Mazaheri
- Department of Neurology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran,Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Maryam Rahimi
- Department of Neurology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran,Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Aram zabeti
- University of Cincinnati, Cincinnati, OH, USA
| | - Shaghayegh Haghjooy Javanmard
- Applied Physiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.
| | - Vahid Shaygannejad
- Department of Neurology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran; Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
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