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Review
. 2022 Mar 11;11(6):1541.
doi: 10.3390/jcm11061541.

Prognostic Factors for Post-COVID-19 Syndrome: A Systematic Review and Meta-Analysis

Giuseppe Maglietta  1 , Francesca Diodati  1 , Matteo Puntoni  1 , Silvia Lazzarelli  1 , Barbara Marcomini  1 , Laura Patrizi  1 , Caterina Caminiti  1
Affiliations
Review

Prognostic Factors for Post-COVID-19 Syndrome: A Systematic Review and Meta-Analysis

Giuseppe Maglietta et al. J Clin Med. .

Abstract

Evidence shows that a substantial proportion of patients with COVID-19 experiences long-term consequences of the disease, but the predisposing factors are poorly understood. We conducted a systematic review and meta-analysis to identify factors present during COVID-19 hospitalization associated with an increased risk of exhibiting new or persisting symptoms (Post-COVID-19 Syndrome, PCS). MedLine and WebOfScience were last searched on 30 September 2021. We included English language clinical trials and observational studies investigating prognostic factors for PCS in adults previously hospitalized for COVID-19, reporting at least one individual prospective follow-up of minimum 12 weeks. Two authors independently assessed risk of bias, which was judged generally moderate. Risk factors were included in the analysis if their association with PCS was investigated by at least two studies. To summarize the prognostic effect of each factor (or group of factors), odds ratios were estimated using raw data. Overall, 20 articles met the inclusion criteria, involving 13,340 patients. Associations were statistically significant for two factors: female sex with any symptoms (OR 1.52; 95% CI 1.27-1.82), with mental health symptoms (OR 1.67, 95% CI 1.21-2.29) and with fatigue (OR 1.54, 95% CI 1.32-1.79); acute disease severity with respiratory symptoms (OR 1.66, 95% CI 1.03-2.68). The I² statistics tests were calculated to quantify the degree of study heterogeneity. This is the first meta-analysis measuring the association between factors present during COVID-19 hospitalization and long-term sequelae. The role of female sex and acute disease severity as independent prognostic factors must be confirmed in robust longitudinal studies with longer follow-up. Identifying populations at greatest risk for PCS can enable the development of targeted prevention and management strategies. Systematic review registration: PROSPERO CRD42021253467.

Keywords: long COVID; meta-analysis; post-COVID-19 syndrome; prognostic factors; risk factors.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Flow diagram.
Figure 2
Figure 2
Forest plots of adjusted analyses for association between sex (female) and any Symptoms. HKSJ, Hartung-Knapp-Sidik-Jonkman.
Figure 3
Figure 3
Forest plots of adjusted analyses for association between sex (female) and respiratory symptoms. HKSJ, Hartung-Knapp-Sidik-Jonkman.
Figure 4
Figure 4
Forest plots of adjusted analyses for association between acute disease severity and respiratory symptoms. HKSJ, Hartung-Knapp-Sidik-Jonkman.
Figure 5
Figure 5
Forest plots of adjusted analyses for association between sex (female) and mental health. HKSJ, Hartung-Knapp-Sidik-Jonkman.
Figure 6
Figure 6
Forest plots of adjusted analyses for association between sex (female) and fatigue. HKSJ, Hartung-Knapp-Sidik-Jonkman.
Figure 7
Figure 7
Forest plots of adjusted analyses for association between acute disease severity and fatigue. HKSJ, Hartung-Knapp-Sidik-Jonkman.
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