Risk factors of critical & mortal COVID-19 cases: A systematic literature review and meta-analysis
Open accessAbstract
Background An epidemic of Coronavirus Disease 2019 (COVID-19) began in December 2019 and triggered a Public Health Emergency of International Concern (PHEIC). We aimed to find risk factors for the progression of COVID-19 to help reducing the risk of critical illness and death for clinical help.Methods The data of COVID-19 patients until March 20, 2020 were retrieved from four databases. We statistically analyzed the risk factors of critical/mortal and non-critical COVID-19 patients with meta-analysis.Results Thirteen studies were included in Meta-analysis, including a total number of 3027 patients with SARS-CoV-2 infection. Male, older than 65, and smoking were risk factors for disease progression in patients with COVID-19 (male: OR = 1.76, 95% CI (1.41, 2.18), P < 0.00001; age over 65 years old: OR =6.06, 95% CI(3.98, 9.22), P < 0.00001; current smoking: OR =2.51, 95% CI(1.39, 3.32), P = 0.0006). The proportion of underlying diseases such as hypertension, diabetes, cardiovascular disease, and respiratory disease were statistically significant higher in critical/mortal patients compared to the non-critical patients (diabetes: OR=3.68, 95% CI (2.68, 5.03), P < 0.00001; hypertension: OR = 2.72, 95% CI (1.60,4.64), P = 0.0002; cardiovascular disease: OR = 5.19, 95% CI(3.25, 8.29), P < 0.00001; respiratory disease: OR = 5.15, 95% CI(2.51, 10.57), P < 0.00001). Clinical manifestations such as fever, shortness of breath or dyspnea were associated with the progression of disease [fever: 0R = 0.56, 95% CI (0.38, 0.82), P = 0.003;shortness of breath or dyspnea: 0R=4.16, 95% CI (3.13, 5.53), P < 0.00001]. Laboratory examination such as aspartate amino transferase(AST) > 40U/L, creatinine(Cr) ≥ 133mol/L, hypersensitive cardiac troponin I(hs-cTnI) > 28pg/mL, procalcitonin(PCT) > 0.5ng/mL, lactatede hydrogenase(LDH) > 245U/L, and D-dimer > 0.5mg/L predicted the deterioration of disease while white blood cells(WBC)<4 × 10 9/L meant a better clinical status[AST > 40U/L:OR=4.00, 95% CI (2.46, 6.52), P < 0.00001; Cr ≥ 133μmol/L: OR = 5.30, 95% CI (2.19, 12.83), P = 0.0002; hs-cTnI > 28 pg/mL: OR = 43.24, 95% CI (9.92, 188.49), P < 0.00001; PCT > 0.5 ng/mL: OR = 43.24, 95% CI (9.92, 188.49), P < 0.00001;LDH > 245U/L: OR = 43.24, 95% CI (9.92, 188.49), P < 0.00001; D-dimer > 0.5mg/L: OR = 43.24, 95% CI (9.92, 188.49), P < 0.00001; WBC < 4 × 10 9/L: OR = 0.30, 95% CI (0.17, 0.51), P < 0.00001].Conclusion Male, aged over 65, smoking patients might face a greater risk of developing into the critical or mortal condition and the comorbidities such as hypertension, diabetes, cardiovascular disease, and respiratory diseases could also greatly affect the prognosis of the COVID-19. Clinical manifestation such as fever, shortness of breath or dyspnea and laboratory examination such as WBC, AST, Cr, PCT, LDH, hs-cTnI and D-dimer could imply the progression of COVID-19.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In data from Wuhan, age was the main risk factor for COVID-19 progression to acute respiratory distress syndrome and end-organ failure.
“data from Wuhan, China showed that age was the primary risk factor associated with COVID-19 progression to acute respiratory distress syndrome (ARDS) and end-organ failure7”
From SARS-CoV-2, COVID-19 and the aging immune system (2021) · cites this paper as [9]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884 · see citing works
Self-citationClinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246 · see citing works
Self-citationZhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30566-3 · Cited by 27,263 · see citing works
A pneumonia outbreak associated with a new coronavirus of probable bat origin
Zhou, P., Yang, X.-L., Wang, X.-G., Hu, B., Zhang, L., Zhang, W., Si, H.-R., Zhu, Y., Li, B., Huang, C.-L., et al. (2020) · Nature · doi:10.1038/s41586-020-2012-7 · Cited by 21,969 · see citing works
Self-citationChen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., Qiu, Y., Wang, J., Liu, Y., Wei, Y., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30211-7 · Cited by 21,415 · see citing works
Wang, D., Hu, B., Hu, C., Zhu, F., Liu, X., Zhang, J., Wang, B., Xiang, H., Cheng, Z., Xiong, Y., et al. (2020) · JAMA · doi:10.1001/jama.2020.1585 · Cited by 20,148 · see citing works
La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
Martínez González, M. (2020) · DSPACE System - Metalibrary (University of the Coast) · Cited by 18,463 · see citing works
Yang, X., Yu, Y., Xu, J., Shu, H., Xia, J., Liu, H., Wu, Y., Zhang, L., Yu, Z., Fang, M., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30079-5 · Cited by 10,066 · see citing works
Self-citationPathological findings of COVID-19 associated with acute respiratory distress syndrome
Xu, Z., Shi, L., Wang, Y., Zhang, J., Huang, L., Zhang, C., Liu, S., Zhao, P., Liu, H., Zhu, L., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30076-x · Cited by 8,545 · see citing works
Self-citationChan, J., Yuan, S.-F., Kok, K.-H., To, K., Chu, H., Yang, J., Xing, F., Liu, J.-L., Yip, C., Poon, R., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30154-9 · Cited by 8,450 · see citing works
Wu, C., Chen, X., Cai, Y., Xia, J., Zhou, X., Xu, S., Huang, H., Zhang, L., Zhou, X., Du, C., et al. (2020) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2020.0994 · Cited by 8,249 · see citing works
Slim, K., Nini, E., Forestier, D., Kwiatkowski, F., Panis, Y., & Chipponi, J. (2003) · ANZ Journal of Surgery · doi:10.1046/j.1445-2197.2003.02748.x · Cited by 7,603 · see citing works
Tang, N., Li, D., Wang, X., & Sun, Z.-Y. (2020) · Journal of Thrombosis and Haemostasis · doi:10.1111/jth.14768 · Cited by 5,527 · see citing works
Coronaviruses: An Overview of Their Replication and Pathogenesis
Fehr, A. R., & Perlman, S. M. (2015) · Methods in molecular biology · doi:10.1007/978-1-4939-2438-7_1 · Cited by 3,807 · see citing works
A Human Homolog of Angiotensin-converting Enzyme
Tipnis, S. R., Hooper, N. M., Hyde, R., Karran, E. H., Christie, G., & Turner, A. J. (2000) · Journal of Biological Chemistry · doi:10.1074/jbc.m002615200 · Cited by 2,032 · see citing works
Angiotensin-(1–7) is an endogenous ligand for the G protein-coupled receptor Mas
Santos, R. A. S., Silva, A. C. S. E., Maric, C., Silva, D. M. R., Machado, R. P., de Buhr, I., Heringer‐Walther, S., Pinheiro, S. V. B., Lopes, M. T., Bäder, M., et al. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1432869100 · Cited by 1,805 · see citing works
Hydrolysis of Biological Peptides by Human Angiotensin-converting Enzyme-related Carboxypeptidase
Vickers, C., Hales, P., Kaushik, V. K., Dick, L. R., Gavin, J. M., Tang, J., Godbout, K., Parsons, T. F., Baronas, E., Hsieh, F., et al. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m200581200 · Cited by 1,406 · see citing works
Characteristics of COVID-19 Infection In Beijing
Tian, S., Hu, N., Lou, J., Chen, K., Kang, X., Xiang, Z., Chen, H., Wang, D., Liu, N., Liu, D., et al. (2020) · Journal of Infection · doi:10.1016/j.jinf.2020.02.018 · Cited by 1,227 · see citing works
Clinical Features of 69 Cases With Coronavirus Disease 2019 in Wuhan, China
Wang, Z., Yang, B., Li, Q., Wen, L., & Zhang, R. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa272 · Cited by 1,063 · see citing works
Self-citationGriendling, K. K., Sorescu, D., Lassegue, B. P., & Ushio‐Fukai, M. (2000) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.20.10.2175 · Cited by 955 · see citing works
Clinical Characteristics of Refractory Coronavirus Disease 2019 in Wuhan, China
Mo, P., Xing, Y., Xiao, Y., Deng, L., Zhao, Q., Wang, H., Xiong, Y., Cheng, Z., Gao, S., Liang, K., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa270 · Cited by 856 · see citing works
Self-citationShi, Y., Yu, X., Zhao, H., Wang, H., Zhao, R.-H., & Sheng, J. (2020) · Critical Care · doi:10.1186/s13054-020-2833-7 · Cited by 510 · see citing works
Glowacka, I., Bertram, S., Herzog, P., Pfefferle, S., Steffen, I., Muench, M. O., Simmons, G., Hofmann, H., Kuri, T., Weber, F., et al. (2009) · Journal of Virology · doi:10.1128/jvi.01248-09 · Cited by 495 · see citing works
Yuan, M., Yin, W., Tao, Z., Tan, W., & Hu, Y. (2020) · PLoS ONE · doi:10.1371/journal.pone.0230548 · Cited by 492 · see citing works
Peng, Y., Meng, K., Guan, H., Leng, L., Zhu, R., Wang, B. Y., He, M. A., Cheng, L., Huang, K., & Zeng, Q. (2020) · PubMed · doi:10.3760/cma.j.cn112148-20200220-00105 · Cited by 469 · see citing works
Lai, C., Wang, C., Wang, Y., Hsueh, S.-C., Ko, W., & Hsueh, P. (2020) · International Journal of Antimicrobial Agents · doi:10.1016/j.ijantimicag.2020.105946 · Cited by 417 · see citing works
Ding, Q., Lu, P., Fan, Y., Xia, Y., & Liu, M. (2020) · Journal of Medical Virology · doi:10.1002/jmv.25781 · Cited by 409 · see citing works
ImmGen report: sexual dimorphism in the immune system transcriptome
Gal-Oz, S. T., Maier, B., Yoshida, H., Seddu, K., Elbaz, N., Czysz, C., Zuk, O., Stranger, B. E., Ner-Gaon, H., & Shay, T. (2019) · Nature Communications · doi:10.1038/s41467-019-12348-6 · Cited by 274 · see citing works
Factors affecting immune responses to the influenza vaccine
Castrucci, M. R. (2017) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2017.1338547 · Cited by 97 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Oral Nirmatrelvir for High-Risk, Nonhospitalized Adults with Covid-19
Hammond, J., Leister-Tebbe, H., Gardner, A., Abreu, P., Bao, W., Wisemandle, W., Baniecki, M., Hendrick, V. M., Damle, B., Simón-Campos, A., et al. (2022) · New England Journal of Medicine · doi:10.1056/nejmoa2118542 · Cited by 2,323 · see citing works
Hospitalization and mortality among Black patients and White patients with Covid-19.
Price-Haywood, E. G., Burton, J., Fort, D., & Seoane, L. (2020) · New England Journal of Medicine · doi:10.1056/nejmsa2011686 · Cited by 1,660 · see citing works
SARS-CoV-2, COVID-19 and the aging immune system
Bartleson, J. M., Radenkovic, D., Covarrubias, A. J., Furman, D., Winer, D. A., & Verdin, E. (2021) · Nature Aging · doi:10.1038/s43587-021-00114-7 · Cited by 359 · see citing works
Ho, F. K., Petermann-Rocha, F., Gray, S. R., Jani, B. D., Katikireddi, S. V., Niedzwiedz, C. L., Foster, H., Hastie, C. E., Mackay, D. F., Gill, J. M. R., et al. (2020) · PLOS ONE · doi:10.1371/journal.pone.0241824 · Cited by 319 · see citing works
Trends in COVID-19 risk-adjusted mortality rates
Horwitz, L. I., Jones, S. A., Cerfolio, R. J., Francois, F., Greco, J., Rudy, B., & Petrilli, C. M. (2021) · Journal of Hospital Medicine · doi:10.12788/jhm.3552 · Cited by 229 · see citing works
Dorjee, K., Kim, H., Bonomo, E., & Dolma, R. (2020) · PLOS ONE · doi:10.1371/journal.pone.0243191 · Cited by 216 · see citing works
C-reactive protein: structure, function, regulation, and role in clinical diseases
Zhou, H.-H., Tang, Y.-L., Xu, T.-H., & Cheng, B. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1425168 · Cited by 162 · see citing works
Rosa, B. A., Ahmed, M., Singh, D. K., Choreño-Parra, J. A., Cole, J., Jiménez-Álvarez, L. A., Rodríguez-Reyna, T. S., Singh, B., Gonzalez, O., Carrion, R., et al. (2021) · Communications Biology · doi:10.1038/s42003-021-01829-4 · Cited by 106 · see citing works
APASL Covid-19 Task Force, Lau, G., & Sharma, M. (2020) · Hepatology International · doi:10.1007/s12072-020-10054-w · Cited by 88 · see citing works
Minh, L. H. N., Khoi Quan, N., Le, T. N., Khanh, P. N. Q., & Huy, N. T. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.709067 · Cited by 87 · see citing works
Costagliola, G., Spada, E., & Consolini, R. (2021) · Immunity, Inflammation and Disease · doi:10.1002/iid3.404 · Cited by 81 · see citing works
Green, M. S., Nitzan, D., Schwartz, N., Niv, Y., & Peer, V. (2021) · PLOS ONE · doi:10.1371/journal.pone.0250523 · Cited by 52 · see citing works
Hinson, J. S., Klein, E., Smith, A., Toerper, M., Dungarani, T., Hager, D., Hill, P., Kelen, G., Niforatos, J. D., Stephens, R. S., et al. (2022) · npj Digital Medicine · doi:10.1038/s41746-022-00646-1 · Cited by 30 · see citing works
- Authors
- Zheng, Z., Peng, F., Xu, B., Zhao, J., Liu, H., Peng, J., Li, Q., Jiang, C., Zhou, Y., Liu, S., Ye, C., Zhang, P., Xing, Y., Guo, H., & Tang, W.
- Affiliations
- Sir Run Run Shaw Hospital (CN)
- Shaoxing People's Hospital (CN)
- Xi'an Jiaotong University (CN)
- Loma Linda University (US)
- Shaoxing University (CN)
- Corresponding author
- Tang, Weiliang
- ORCID
- Venue
- Journal of Infection
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 81
- Issue
- 2
- Pages
- e16-e25
- ISSN
- 0163-4453 (ISSN-L)
- PMC
- PMC7177098
- OpenAlex
- W3020646040
- Cited by
- 2,074
- References
- 29
- Citations by year
- 2026: 39 · 2025: 51 · 2024: 149 · 2023: 251 · 2022: 447 · 2021: 687 · 2020: 449
- FWCI
- 21.69
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Infection (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Neurology › Long-Term Effects of COVID-19
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Keywords
- COVID-19 pandemic, SARS-CoV-2, risk factors, disease progression, critical illness, mortality, comorbidities, diabetes mellitus, hypertension, cardiovascular disease, respiratory diseases, smoking, sex differences, old age, fever, dyspnea, clinical features, prognostic factors, prognostic score, prognostic score 2, prognostic score 3
- MeSH terms
- COVID-19, Acute Disease, Adult, Age Factors, Aged, Female, Humans, Male, Middle Aged, Pneumonia, Viral, Risk Factors, Severity of Illness Index, Sex Factors, Coronavirus Infections, Disease Progression, Pandemics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review