The influence of comorbidity on the severity of COVID-19 disease: systematic review and analysis
Zaki, N.; Mohamed, E. A.; Ibrahim, S.; Khan, G.
Show abstract
BackgroundA novel form of coronavirus disease (SARS-CoV-2) has spread rapidly across the world. What risk factors influence the severity of the disease is of considerable importance. AimThis research offers a systematic review and meta-analysis of the correlation between common clinical conditions and comorbidities and the severity of COVID-19. MethodologyTwo independent researchers searched Europe PMC, Google Scholar, and PubMed databases for articles related to influence comorbidities have on the progress of the disease. A search engine was also created to screen a further 59,000 articles in COVID-19 Open Research Dataset (CORD-19). Random-effects modeling was used to pool 95% confidence intervals (CIs) and odds ratios (ORs). The significance of all comorbidities and clinical conditions to the severity of the disease was evaluated by employing machine-learning techniques. Publication bias was assessed by using funnel-plots and Egger's test. Heterogeneity was tested using I2. ResultsThe meta-analysis incorporated 12 studies spanning 4,101 confirmed COVID-19 patients who were admitted to Chinese hospitals. The prevalence of the most commonly associated co-morbidities and their corresponding odds ratio for disease severity were as follows: coronary heart disease (OR 2.97 [CI: 1.99-4.45], p < 0.0001), cancer (OR 2.65 [CI: 1.12-6.29], p < 0.03), cardiovascular disease (OR 2.89 [CI: 1.90-4.40], p < 0.0001), COPD (OR 3.24 [CI: 1.66-6.32], p = 0.0), and kidney disease (OR 2.2.4 [CI: 1.01-4.99], p = 0.05) with low or moderate level of heterogeneity. The most frequently exhibited clinical symptoms were fever (OR 1.37 [CI: 1.01-1.86], p = 0.04), myalgia/fatigue (OR 1.31 [CI: 1.11-1.55], p = 0.0018), and dyspnea (OR 3.61, [CI: 2.57-5.06], p = <0.0001). No significant associations between disease severity and liver disease, smoking habits, and other clinical conditions, such as a cough, respiratory/ARDS, diarrhea or chest tightness/pain were found. The meta-analysis also revealed that the incubation period was positively associated with disease severity. ConclusionExisting comorbidities, including COPD, cardiovascular disease, and coronary heart disease, increase the severity of COVID-19. Some studies found a statistically significant association between comorbidities such as diabetes and hypertension and disease severity. However, these studies may be biased due to substantial heterogeneity.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Epidemiological Risk Factors Associated with Death and Severe Disease in Patients Suffering From COVID-19: A Comprehensive Systematic Review and Meta-analysis 96%
- Factors Associated with Disease Severity and Mortality among Patients with Coronavirus Disease 2019: A Systematic Review and Meta-Analysis 96%
- Survival analysis of hospital length of stay of novel coronavirus (COVID-19) pneumonia patients in Sichuan, China 94%
Similar papers in this journal
- The tryptophan catabolite or kynurenine pathway in COVID-19 and critical COVID-19: a systematic review and meta-analysis 93%
- Determinants of Developing Symptomatic Disease in Ethiopian COVID-19 Patients 93%
- Evaluation of the disease outcome in Covid-19 infected patients by disease symptoms: a retrospective cross-sectional study in Ilam Province, Iran 92%
Similar papers in this journal
- More than 50 Long-term effects of COVID-19: a systematic review and meta-analysis 94%
- Metformin Is Associated with Favorable Outcomes in Patients with COVID-19 and Type 2 Diabetes Mellitus 93%
- Rapid Clinical Screening and Staging for COVID-19 Severe Outcome A Hospitalization Study in New York City 93%
Similar papers in this journal
- Studies of Novel Coronavirus Disease 19 (COVID-19) Pandemic: A Global Analysis of Literature 93%
- Are Geographic Factors Associated With Poorer Outcomes In Patients Diagnosed With COVID-19? 92%
- The scRNA-seq expression profiling of the receptor ACE2 and the cellular protease TMPRSS2 reveals human organs susceptible to COVID-19 infection 92%
Similar papers in this journal
- Evaluation of triage checklist for mild COVID-19 outpatients in predicting subsequent emergency department visits and hospitalization during isolation period 93%
- Early Outpatient Treatment Of COVID-19: A Retrospective Analysis Of 392 Cases In Italy 92%
- Efficacy of remdesivir-containing therapy in hospitalized COVID-19 patients: a prospective clinical experience 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.