Please wait a minute...
Frontiers of Medicine

ISSN 2095-0217

ISSN 2095-0225(Online)

CN 11-5983/R

Postal Subscription Code 80-967

2018 Impact Factor: 1.847

Front. Med.    2023, Vol. 17 Issue (5) : 867-877    https://doi.org/10.1007/s11684-023-0995-9
RESEARCH ARTICLE
Protection of inactivated vaccine against SARS-CoV-2 infections in patients with comorbidities: a prospective cohort study
Kanchana Ngaosuwan1(), Kamonwan Soonklang2, Chawin Warakul1, Chirayu Auewarakul1, Nithi Mahanonda3
1. Princess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy, Bangkok 10210, Thailand
2. Data Management Unit, Centre of Learning and Research in Celebration of HRH Princess Chulabhorn's 60th Birthday Anniversary, Chulabhorn Royal Academy, Bangkok 10210, Thailand
3. Chulabhorn Hospital, Chulabhorn Royal Academy, Bangkok 10210, Thailand
 Download: PDF(2014 KB)   HTML
 Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks
Abstract

Protection against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection of inactivated vaccines is not well characterized in people with comorbidities, who are at high risk of severe infection. We compared the risk of SARS-CoV-2 infection after complete vaccination with Sinopharm/BBIBP in people with comorbidities (e.g., autoimmune diseases, cardiovascular disease, chronic lung disease, and diabetes) with healthy individuals using a Cox-proportional hazard model. In July–September 2021, a total of 10 548 people (comorbidities, 2143; healthy, 8405) receiving the complete primary series of vaccination with Sinopharm/BBIBP in Bangkok, Thailand were prospectively followed for SARS-CoV-2 infection through text messaging and telephone interviewing for 6 months. A total of 295 infections from 284 participants were found. HRs (95% CI) of individuals with any comorbidities did not increase (unadjusted, 1.02 (0.77–1.36), P = 0.89; adjusted, 1.04 (0.78–1.38), P = 0.81). HRs significantly increased in the subgroup of autoimmune diseases (unadjusted, 2.64 (1.09–6.38), P = 0.032; adjusted, 4.45 (1.83–10.83), P = 0.001) but not in cardiovascular disease, chronic lung disease, or diabetes. The protection against SARS-CoV-2 infection of the Sinopharm vaccine was similar in participants with any comorbidities vs. healthy individuals. However, the protection appeared lower in the subgroup of autoimmune diseases, which may reflect suboptimal immune responses among these people.

Keywords COVID-19      Sinopharm/BBIBP vaccine      immunocompromised patients      real-world     
Corresponding Author(s): Kanchana Ngaosuwan   
Just Accepted Date: 30 May 2023   Online First Date: 04 July 2023    Issue Date: 07 December 2023
 Cite this article:   
Kanchana Ngaosuwan,Kamonwan Soonklang,Chawin Warakul, et al. Protection of inactivated vaccine against SARS-CoV-2 infections in patients with comorbidities: a prospective cohort study[J]. Front. Med., 2023, 17(5): 867-877.
 URL:  
https://academic.hep.com.cn/fmd/EN/10.1007/s11684-023-0995-9
https://academic.hep.com.cn/fmd/EN/Y2023/V17/I5/867
Fig.1  Participant flow chart.
Whole cohort Matched cohort
Total(N = 10 548) Comorbidities(N = 2143) No comorbidities(N = 8405) P Total(N = 5040) Comorbidities(N = 1260) No comorbidities(N = 3780) P
Sex
Male; n (%) 4767 (45.19) 844 (39.38) 3923 (46.67) < 0.001 2096 (41.59) 524 (41.59) 1572 (41.59) 1.00
Female; n (%) 5781 (54.81) 1299 (60.62) 4482 (53.33) 2944 (58.41) 736 (58.41) 2208 (58.41)
Median age (IQR); year 41 (29–52) 38 (27–48) 54 (45–61) < 0.001 49 (40–55) 49 (40–55) 49 (40–55) 0.61
BMI; mean ± SD; kg/m2 24.49 ± 4.92 26.20 ± 5.16 24.05 ± 4.77 < 0.001 24.89 ± 4.42 24.94 ± 4.39 24.87 ± 4.43 0.62
Diabetes mellitus; n (%) 645 (6.11) 645 (30.10) 293 (5.81) 293 (23.25)
Hypertension; n (%) 1432 (13.58) 1432 (66.82) 723 (14.35) 723 (57.38)
Chronic lung disease (%) 188 (1.78) 188 (8.77) 148 (2.94) 148 (11.75)
Cardiac disease; n (%) 121 (1.15) 121 (5.65) 55 (1.09) 55 (4.37)
Stroke; n (%) 59 (0.56) 59 (2.75) 27 (0.54) 27 (2.14)
Chronic kidney disease; n (%) 36 (0.34) 36 (1.68) 19 (0.38) 19 (1.51)
Cancer; n (%) 58 (0.55) 58 (2.71) 33 (0.65) 33 (2.62)
Autoimmune disease; n (%) 68 (0.64) 68 (3.17) 64 (1.27) 64 (5.08)
Tab.1  Baseline characteristics
Participant cohort No. of participants with events/Total participants (%) P Number of eventsa Incidence rate (95% CI)b, No. event per 1 000 000 person-days P
Comorbidities No comorbidities Comorbidities No comorbidities Comorbidities No comorbidities
Any comorbidities 57/2143(2.66%) 227/8405(2.70%) 0.91 60 235 148.6(115.4–191.4) 149.2(131.3–169.5) 0.99
Autoimmune disease 5/68(7.35%) 279/10480(2.66%) 0.017 5 290 387.8(161.4–931.6) 147.5(131.5–165.5) 0.058
Cardiovascular disease 5/164(3.05%) 279/10384(2.69%) 0.77 7 288 226.7(108.1–475.5) 147.8(131.7–165.9) 0.27
Chronic lung disease 4/188(2.13%) 280/10360(2.70%) 0.62 4 291 113.4(42.6–302.2) 149.7(133.5–167.9) 0.62
Diabetes mellitus 11/645(1.71%) 273/9903(2.76%) 0.11 13 282 106.8(62.0–184.0) 151.8(135.1–170.6) 0.20
Tab.2  Incidence rates of laboratory-confirmed SARS-CoV-2 infection of participants following the primary series of Sinopharm vaccination in the whole cohort.
Fig.2  Cumulative incidence of laboratory-confirmed SARS-CoV-2 infection following a primary series of Sinopharm vaccination in participants having any comorbidities compared with healthy individuals.
Fig.3  Cumulative incidence of laboratory-confirmed SARS-CoV-2 infection following a primary series of Sinopharm vaccination in participants with (A) autoimmune disease, (B) cardiovascular disease (CVD), (C) chronic lung disease (CLD), and (D) diabetes mellitus (DM). Each was compared with participants without diseases.
Participant cohort Total number of participants Total number of events Incidence rate (95% CI), No. of event per 1 000 000 person-days P Unadjusted HR(95% CI) a, b P Adjusted HR(95% CI) a, b, c P
Comorbid No comorbid Comorbid No comorbid Comorbid No comorbid
Any Comorbidities 1260 3780 38 95 160.5 (116.8–220.6) 134.3 (109.9–164.3) 0.35 1.21 (0.83–1.77) 0.31 1.17 (0.80–1.71) 0.40
Autoimmune disease 64 192 4 5 328.9 (123.4–876.2) 139.1 (57.9–334.2) 0.22 2.32 (0.62–8.69) 0.21 5.90 (1.08–32.33) 0.041
Cardiovascular disease 73 219 3 6 218.9 (70.6–678.7) 146.1 (65.6–325.2) 0.56 1.60 (0.40–6.43) 0.50 2.02 (0.48–8.45) 0.33
Chronic lung disease 148 444 3 11 108.3 (34.9–335.9) 132.7 (73.5–239.6) 0.79 0.80 (0.22–2.85) 0.72 0.82 (0.23–2.95) 0.76
Diabetes mellitus 293 879 7 23 127.2 (60.6–266.9) 139.4 (92.7–209.8) 0.86 0.92 (0.39–2.14) 0.84 0.99 (0.42–2.31) 0.97
Tab.3  Hazard ratios of laboratory-confirmed SARS-CoV-2 infection following the primary series of Sinopharm vaccination in the matched cohort
Fig.4  Median (IQR) days of the first laboratory-confirmed SARS-CoV-2 infection after complete vaccination in participants with autoimmune disease, comorbidities without autoimmune disease, and no comorbidities.
Participant cohort No. of participants with events/Total participants (%) Unadjusted HR a P Adjusted HR a, b P
Comorbidities No comorbidities
Any comorbidities 87/2143 (4.06%) 314/8405 (3.74%) 1.06 (0.84–1.35) 0.60 1.10 (0.87–1.39) 0.41
Autoimmune disease 6/68 (8.82%) 395/10480 (3.77%) 1.84 (0.76–4.46) 0.17 2.78 (1.15–6.73) 0.024
Cardiovascular disease 7/164 (4.27%) 394/10384 (3.79%) 1.40 (0.72–2.71) 0.31 1.63 (0.84–3.16) 0.14
Chronic lung disease 6/188 (3.19%) 395/10360 (3.81%) 0.81 (0.36–1.81) 0.60 0.82 (0.37–1.85) 0.63
Diabetes mellitus 17/645 (2.64%) 384/9903 (3.88%) 0.73 (0.46–1.16) 0.18 0.80 (0.51–1.27) 0.34
Tab.4  Hazard ratios of laboratory-confirmed SARS-CoV-2 infection or having symptoms suspected COVID-19 infection following the primary series of Sinopharm vaccination in the whole cohort
1 World Health Organization. WHO Director-General’s opening remarks at the media briefing on COVID-19—11 March 2020. WHO declared COVID-19 as a pandemic. 2020. Available at the website of WHO
2 World Health Organization. COVID-19 vaccines with WHO emergency use listing. 2021. Available at the website of WHO
3 S Xia, Y Zhang, Y Wang, H Wang, Y Yang, GF Gao, W Tan, G Wu, M Xu, Z Lou, W Huang, W Xu, B Huang, H Wang, W Wang, W Zhang, N Li, Z Xie, L Ding, W You, Y Zhao, X Yang, Y Liu, Q Wang, L Huang, Y Yang, G Xu, B Luo, W Wang, P Liu, W Guo, X Yang. Safety and immunogenicity of an inactivated SARS-CoV-2 vaccine, BBIBP-CorV: a randomised, double-blind, placebo-controlled, phase 1/2 trial. Lancet Infect Dis 2021; 21(1): 39–51
https://doi.org/10.1016/S1473-3099(20)30831-8
4 N Al Kaabi, Y Zhang, S Xia, Y Yang, MM Al Qahtani, N Abdulrazzaq, M Al Nusair, M Hassany, JS Jawad, J Abdalla, SE Hussein, SK Al Mazrouei, M Al Karam, X Li, X Yang, W Wang, B Lai, W Chen, S Huang, Q Wang, T Yang, Y Liu, R Ma, ZM Hussain, T Khan, M Saifuddin Fasihuddin, W You, Z Xie, Y Zhao, Z Jiang, G Zhao, Y Zhang, S Mahmoud, I ElTantawy, P Xiao, A Koshy, WA Zaher, H Wang, K Duan, A Pan, X Yang. Effect of 2 inactivated SARS-CoV-2 vaccines on symptomatic COVID-19 infection in adults: a randomized clinical trial. JAMA 2021; 326(1): 35–45
https://doi.org/10.1001/jama.2021.8565
5 N Al Kaabi, A Oulhaj, S Ganesan, FI Al Hosani, O Najim, H Ibrahim, J Acuna, AR Alsuwaidi, AM Kamour, A Alzaabi, BA Al Shehhi, H Al Safar, SE Hussein, JS Abdalla, DSN Al Mansoori, AAK Al Hammadi, MA Amari, AK Al Romaithi, S Weber, S Elavalli, I Eltantawy, NK Alghaithi, JN Al Azazi, SG Holt, M Mostafa, R Halwani, H Khalak, W Elamin, R Beiram, W Zaher. Effectiveness of BBIBP-CorV vaccine against severe outcomes of COVID-19 in Abu Dhabi, United Arab Emirates. Nat Commun 2022; 13(1): 3215
https://doi.org/10.1038/s41467-022-30835-1
6 Y Zhang, J Belayachi, Y Yang, Q Fu, L Rodewald, H Li, B Yan, Y Wang, Y Shen, Q Yang, W Mu, R Tang, C Su, T Xu, M Obtel, A Mhayi, R Razine, R Abouqal, Y Zhang, X Yang. Real-world study of the effectiveness of BBIBP-CorV (Sinopharm) COVID-19 vaccine in the Kingdom of Morocco. BMC Public Health 2022; 22(1): 1584
https://doi.org/10.1186/s12889-022-14016-9
7 M PremikhaCJ ChiewWE WeiYS LeoB Ong DC LyeVJ LeeKB Tan. Comparative effectiveness of mRNA and inactivated whole-virus vaccines against coronavirus disease 2019 infection and severe disease in Singapore. Clin Infect Dis 2022 12; 75(8): 1442–1445 doi: 10.1093/cid/ciac288
pmid: 35412612
8 FTT Lai, L Huang, CSL Chui, EYF Wan, X Li, CKH Wong, EWW Chan, T Ma, DH Lum, JCN Leung, H Luo, EWY Chan, ICK Wong. Multimorbidity and adverse events of special interest associated with COVID-19 vaccines in Hong Kong. Nat Commun 2022; 13(1): 411
https://doi.org/10.1038/s41467-022-28068-3
9 HT Rydland, J Friedman, S Stringhini, BG Link, TA Eikemo. The radically unequal distribution of COVID-19 vaccinations: a predictable yet avoidable symptom of the fundamental causes of inequality. Humanit Soc Sci Commun 2022; 9(1): 61
https://doi.org/10.1057/s41599-022-01073-z
10 S Gupta, SS Hayek, W Wang, L Chan, KS Mathews, ML Melamed, SK Brenner, A Leonberg-Yoo, EJ Schenck, J Radbel, J Reiser, A Bansal, A Srivastava, Y Zhou, A Sutherland, A Green, AM Shehata, N Goyal, A Vijayan, JCQ Velez, S Shaefi, CR Parikh, J Arunthamakun, AM Athavale, AN Friedman, SAP Short, ZA Kibbelaar, Omar S Abu, AJ Admon, JP Donnelly, HB Gershengorn, MA Hernán, MW Semler, DE; STOP-COVID Investigators Leaf. Factors associated with death in critically ill patients with coronavirus disease 2019 in the US. JAMA Intern Med 2020; 180(11): 1436–1447
https://doi.org/10.1001/jamainternmed.2020.3596
11 N Holman, P Knighton, P Kar, J O’Keefe, M Curley, A Weaver, E Barron, C Bakhai, K Khunti, NJ Wareham, N Sattar, B Young, J Valabhji. Risk factors for COVID-19-related mortality in people with type 1 and type 2 diabetes in England: a population-based cohort study. Lancet Diabetes Endocrinol 2020; 8(10): 823–833
https://doi.org/10.1016/S2213-8587(20)30271-0
12 JL Pablos, M Galindo, L Carmona, A Lledó, M Retuerto, R Blanco, MA Gonzalez-Gay, D Martinez-Lopez, I Castrejón, JM Alvaro-Gracia, Fernández D Fernández, A Mera-Varela, S Manrique-Arija, Vázquez N Mena, A; RIER Investigators Group; RIER investigators group Fernandez-Nebro. Clinical outcomes of hospitalised patients with COVID-19 and chronic inflammatory and autoimmune rheumatic diseases: a multicentric matched cohort study. Ann Rheum Dis 2020; 79(12): 1544–1549
https://doi.org/10.1136/annrheumdis-2020-218296
13 Y Zhou, Q Yang, J Chi, B Dong, W Lv, L Shen, Y Wang. Comorbidities and the risk of severe or fatal outcomes associated with coronavirus disease 2019: a systematic review and meta-analysis. Int J Infect Dis 2020; 99: 47–56
https://doi.org/10.1016/j.ijid.2020.07.029
14 World Health Organization. WHO SAGE Roadmap for prioritizing uses of COVID-19 vaccines. 2022. Updated January 21, 2022 and August 16, 2022. Available at the website of WHO
15 EJ Brenner, RC Ungaro, RB Gearry, GG Kaplan, M Kissous-Hunt, JD Lewis, SC Ng, JF Rahier, W Reinisch, FM Ruemmele, F Steinwurz, FE Underwood, X Zhang, JF Colombel, MD Kappelman. Corticosteroids, but not TNF antagonists, are associated with adverse COVID-19 outcomes in patients with inflammatory bowel diseases: results from an international registry. Gastroenterology 2020; 159(2): 481–491.e3
https://doi.org/10.1053/j.gastro.2020.05.032
16 A EkinBN CoskunE DalkilicY Pehlivan. The effects of COVID-19 infection on the mortality of patients receiving rituximab therapy. Ir J Med Sci 2022; [Epub ahead of print] doi:
https://doi.org/10.1007/s11845-022-03193-6 pmid: 36258064
17 GP Fadini, ML Morieri, E Longato, A Avogaro. Prevalence and impact of diabetes among people infected with SARS-CoV-2. J Endocrinol Invest 2020; 43(6): 867–869
https://doi.org/10.1007/s40618-020-01236-2
18 C Ferri, D Giuggioli, V Raimondo, M L'Andolina, A Tavoni, R Cecchetti, S Guiducci, F Ursini, M Caminiti, G Varcasia, P Gigliotti, R Pellegrini, D Olivo, M Colaci, G Murdaca, R Brittelli, GP Mariano, A Spinella, S Bellando-Randone, V Aiello, S Bilia, D Giannini, T Ferrari, R Caminiti, V Brusi, R Meliconi, P Fallahi, A; COVID-19 & ASD Italian Study Group Antonelli. COVID-19 and rheumatic autoimmune systemic diseases: report of a large Italian patients series. Clin Rheumatol 2020; 39(11): 3195–3204
https://doi.org/10.1007/s10067-020-05334-7
19 MMA Khan, MN Khan, MG Mustagir, J Rana, MS Islam, MI Kabir. Effects of underlying morbidities on the occurrence of deaths in COVID-19 patients: a systematic review and meta-analysis. J Glob Health 2020; 10(2): 020503
https://doi.org/10.7189/jogh.10.020503
20 R Pranata, I Huang, MA Lim, EJ Wahjoepramono, J July. Impact of cerebrovascular and cardiovascular diseases on mortality and severity of COVID-19-systematic review, meta-analysis, and meta-regression. J Stroke Cerebrovasc Dis 2020; 29(8): 104949
https://doi.org/10.1016/j.jstrokecerebrovasdis.2020.104949
21 P Ssentongo, AE Ssentongo, ES Heilbrunn, DM Ba, VM Chinchilli. Association of cardiovascular disease and 10 other pre-existing comorbidities with COVID-19 mortality: a systematic review and meta-analysis. PLoS One 2020; 15(8): e0238215
https://doi.org/10.1371/journal.pone.0238215
22 B Wang, R Li, Z Lu, Y Huang. Does comorbidity increase the risk of patients with COVID-19: evidence from meta-analysis. Aging (Albany NY) 2020; 12(7): 6049–6057
https://doi.org/10.18632/aging.103000
23 PA Harris, R Taylor, R Thielke, J Payne, N Gonzalez, JG Conde. Research electronic data capture (REDCap)-a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 2009; 42(2): 377–381
https://doi.org/10.1016/j.jbi.2008.08.010
24 A Srisubat. Editorial. Journal of The Department of Medical Services. 2021; 46(2): 3
25 Department of Medical Sciences, Ministry of Public Health. List of network laboratories that has been accredited for medical testing laboratories: Department of Medical Sciences. 2021. Available at the website of the Ministry of Public Health of Thailand
26 Department of Medical Sciences, Ministry of Public Health. SARS-CoV-2 variants in Thailand. 2021. Updated August 1, 2022 and August 12, 2022. Available at the website of the Ministry of Public Health of Thailand
27 C Cardelli, T Caruso, C Tani, F Pratesi, RDI Talarico, F Cianni, N Italiano, E Laurino, M Moretti, G Cascarano, M Diomedi, L Gualtieri, R D’urzo, P Migliorini, M Mosca. AB1152 COVID-19 mRNA vaccine booster in patients with systemic autoimmune diseases. Ann Rheum Dis 2022; 81(Suppl 1): 1693
https://doi.org/10.1136/annrheumdis-2022-eular.4008
28 R Pal, N Sachdeva, S Mukherjee, V Suri, D Zohmangaihi, S Ram, GD Puri, A Bhalla, SL Soni, N Pandey, A Bhansali, SK Bhadada. Impaired anti-SARS-CoV-2 antibody response in non-severe COVID-19 patients with diabetes mellitus: a preliminary report. Diabetes Metab Syndr 2021; 15(1): 193–196
https://doi.org/10.1016/j.dsx.2020.12.035
29 C Sourij, NJ Tripolt, F Aziz, F Aberer, P Forstner, AM Obermayer, H Kojzar, B Kleinhappl, PN Pferschy, JK Mader, G Cvirn, N Goswami, N Wachsmuth, ML Eckstein, A Müller, F Abbas, J Lenz, M Steinberger, L Knoll, R Krause, M Stradner, P Schlenke, N Sareban, B Prietl, S Kaser, O Moser, I Steinmetz, H; COVAC-DM study group Sourij. Humoral immune response to COVID-19 vaccination in diabetes is age-dependent but independent of type of diabetes and glycaemic control: the prospective COVAC-DM cohort study. Diabetes Obes Metab 2022; 24(5): 849–858
https://doi.org/10.1111/dom.14643
30 R Marfella, N D’Onofrio, C Sardu, L Scisciola, P Maggi, N Coppola, C Romano, V Messina, F Turriziani, M Siniscalchi, M Maniscalco, M Boccalatte, G Napolitano, L Salemme, LV Marfella, E Basile, MV Montemurro, C Papa, F Frascaria, A Papa, F Russo, V Tirino, G Papaccio, M Galdiero, FC Sasso, M Barbieri, MR Rizzo, ML Balestrieri, IF Angelillo, C Napoli, G Paolisso. Does poor glycaemic control affect the immunogenicity of the COVID-19 vaccination in patients with type 2 diabetes: the CAVEAT study. Diabetes Obes Metab 2022; 24(1): 160–165
https://doi.org/10.1111/dom.14547
31 World Health Organization. Noncommunicable diseases Thailand 2018 country profile. WHO Noncommunicable diseases country profiles 2018. 2018. Availableat the website of WHO
32 W Puavilai, D Laorugpongse, S Prompongsa, S Sutheerapatranont, N Siriwiwattnakul, N Muthapongthavorn, P Srilert, J Jakpechyothin. Prevalence and some important risk factors of hypertension in Ban Paew District, second report. J Med Assoc Thai 2011; 94(9): 1069–1076
[1] FMD-23014-OF-NK_suppl_1 Download
[1] Gang Lu, Yun Ling, Minghao Jiang, Yun Tan, Dong Wei, Lu Jiang, Shuting Yu, Fangying Jiang, Shuai Wang, Yao Dai, Jinzeng Wang, Geng Wu, Xinxin Zhang, Guoyu Meng, Shengyue Wang, Feng Liu, Xiaohong Fan, Saijuan Chen. Primary assessment of the diversity of Omicron sublineages and the epidemiologic features of autumn/winter 2022 COVID-19 wave in Chinese mainland[J]. Front. Med., 2023, 17(4): 758-767.
[2] Hao Wang, Yu Yuan, Bihao Wu, Mingzhong Xiao, Zhen Wang, Tingyue Diao, Rui Zeng, Li Chen, Yanshou Lei, Pinpin Long, Yi Guo, Xuefeng Lai, Yuying Wen, Wenhui Li, Hao Cai, Lulu Song, Wei Ni, Youyun Zhao, Kani Ouyang, Jingzhi Wang, Qi Wang, Li Liu, Chaolong Wang, An Pan, Xiaodong Li, Rui Gong, Tangchun Wu. Neutralization against SARS-CoV-2 Delta/Omicron variants and B cell response after inactivated vaccination among COVID-19 convalescents[J]. Front. Med., 2023, 17(4): 747-757.
[3] Ziyu Fu, Dongguo Liang, Wei Zhang, Dongling Shi, Yuhua Ma, Dong Wei, Junxiang Xi, Sizhe Yang, Xiaoguang Xu, Di Tian, Zhaoqing Zhu, Mingquan Guo, Lu Jiang, Shuting Yu, Shuai Wang, Fangyin Jiang, Yun Ling, Shengyue Wang, Saijuan Chen, Feng Liu, Yun Tan, Xiaohong Fan. Host protection against Omicron BA.2.2 sublineages by prior vaccination in spring 2022 COVID-19 outbreak in Shanghai[J]. Front. Med., 2023, 17(3): 562-575.
[4] Chuansong Quan, Zhenjie Zhang, Guoyong Ding, Fengwei Sun, Hengxia Zhao, Qinghua Liu, Chuanmin Ma, Jing Wang, Liang Wang, Wenbo Zhao, Jinjie He, Yu Wang, Qian He, Michael J. Carr, Dayan Wang, Qiang Xiao, Weifeng Shi. Seroprevalence of influenza viruses in Shandong, Northern China during the COVID-19 pandemic[J]. Front. Med., 2022, 16(6): 984-990.
[5] Suning Chen, Weili Zhao, Jianyong Li, Depei Wu, on behalf of Lymphoid Disease Group, Chinese Society of Hematology, Chinese Medical Association. Chinese expert consensus on oral drugs for the treatment of mature B-cell lymphomas (2020 edition)[J]. Front. Med., 2022, 16(5): 815-826.
[6] Xiaoguang Xu, Wei Zhang, Mingquan Guo, Chenlu Xiao, Ziyu Fu, Shuting Yu, Lu Jiang, Shengyue Wang, Yun Ling, Feng Liu, Yun Tan, Saijuan Chen. Integrated analysis of gut microbiome and host immune responses in COVID-19[J]. Front. Med., 2022, 16(2): 263-275.
[7] Yi Zhang, Haocheng Zhang, Wenhong Zhang. SARS-CoV-2 variants, immune escape, and countermeasures[J]. Front. Med., 2022, 16(2): 196-207.
[8] Yiming Shao, Yingqi Wu, Yi Feng, Wenxin Xu, Feng Xiong, Xinxin Zhang. SARS-CoV-2 vaccine research and immunization strategies for improved control of the COVID-19 pandemic[J]. Front. Med., 2022, 16(2): 185-195.
[9] Wei Zhang, Xiaoguang Xu, Ziyu Fu, Jian Chen, Saijuan Chen, Yun Tan. PathogenTrack and Yeskit: tools for identifying intracellular pathogens from single-cell RNA-sequencing datasets as illustrated by application to COVID-19[J]. Front. Med., 2022, 16(2): 251-262.
[10] Zehong Huang, Yingying Su, Tianying Zhang, Ningshao Xia. A review of the safety and efficacy of current COVID-19 vaccines[J]. Front. Med., 2022, 16(1): 39-55.
[11] Yuntao Zhang, Yunkai Yang, Niu Qiao, Xuewei Wang, Ling Ding, Xiujuan Zhu, Yu Liang, Zibo Han, Feng Liu, Xinxin Zhang, Xiaoming Yang. Early assessment of the safety and immunogenicity of a third dose (booster) of COVID-19 immunization in Chinese adults[J]. Front. Med., 2022, 16(1): 93-101.
[12] Qiaoli Shi, Fei Xia, Qixin Wang, Fulong Liao, Qiuyan Guo, Chengchao Xu, Jigang Wang. Discovery and repurposing of artemisinin[J]. Front. Med., 2022, 16(1): 1-9.
[13] Huai-yu Wang, Suyuan Peng, Zhanghui Ye, Pengfei Li, Qing Li, Xuanyu Shi, Rui Zeng, Ying Yao, Fan He, Junhua Li, Liu Liu, Shuwang Ge, Xianjun Ke, Zhibin Zhou, Gang Xu, Ming-hui Zhao, Haibo Wang, Luxia Zhang, Erdan Dong. Renin--angiotensin system inhibitor is associated with the reduced risk of all-cause mortality in COVID-19 among patients with/without hypertension[J]. Front. Med., 2022, 16(1): 102-110.
[14] Jing Wang, Zequn Lu, Meng Jin, Ying Wang, Kunming Tian, Jun Xiao, Yimin Cai, Yanan Wang, Xu Zhang, Tao Chen, Zhi Yao, Chunguang Yang, Renli Deng, Qiang Zhong, Xiongbo Deng, Xin Chen, Xiang-ping Yang, Gonghong Wei, Zhihua Wang, Jianbo Tian, Xiao-ping Chen. Clinical characteristics and risk factors of COVID-19 patients with chronic hepatitis B: a multi-center retrospective cohort study[J]. Front. Med., 2022, 16(1): 111-125.
[15] Li Ni, Zheng Wen, Xiaowen Hu, Wei Tang, Haisheng Wang, Ling Zhou, Lujin Wu, Hong Wang, Chang Xu, Xizhen Xu, Zhichao Xiao, Zongzhe Li, Chene Li, Yujian Liu, Jialin Duan, Chen Chen, Dan Li, Runhua Zhang, Jinliang Li, Yongxiang Yi, Wei Huang, Yanyan Chen, Jianping Zhao, Jianping Zuo, Jianping Weng, Hualiang Jiang, Dao Wen Wang. Effects of Shuanghuanglian oral liquids on patients with COVID-19: a randomized, open-label, parallel-controlled, multicenter clinical trial[J]. Front. Med., 2021, 15(5): 704-717.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed