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Global REnal Involvement of CORonavirus Disease 2019 (RECORD): A Systematic Review and Meta-Analysis of Incidence, Risk Factors, and Clinical Outcomes.
Chan, Kam Wa; Yu, Kam Yan; Lee, Pak Wing; Lai, Kar Neng; Tang, Sydney Chi-Wai.
  • Chan KW; Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong, China.
  • Yu KY; Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong, China.
  • Lee PW; Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Lai KN; Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong, China.
  • Tang SC; Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong, China.
Front Med (Lausanne) ; 8: 678200, 2021.
Article in English | MEDLINE | ID: covidwho-1266669
ABSTRACT

Introduction:

The quantitative effect of underlying non-communicable diseases on acute kidney injury (AKI) incidence and the factors affecting the odds of death among coronavirus disease 2019 (COVID-19) AKI patients were unclear at population level. This study aimed to assess the association between AKI, mortality, underlying non-communicable diseases, and clinical risk factors.

Methods:

A systematic search of six databases was performed from January 1, 2020, until October 5, 2020. Peer-reviewed observational studies containing quantitative data on risk factors and incidence of renal manifestations of COVID-19 were included. Location, institution, and time period were matched to avoid duplicated data source. Incidence, prevalence, and odds ratio of outcomes were extracted and pooled by random-effects meta-analysis. History of renal replacement therapy (RRT) and age group were stratified for analysis. Univariable meta-regression models were built using AKI incidence as dependent variable, with underlying comorbidities and clinical presentations at admission as independent variables.

Results:

Global incidence rates of AKI and RRT in COVID-19 patients were 20.40% [95% confidence interval (CI) = 12.07-28.74] and 2.97% (95% CI = 1.91-4.04), respectively, among patients without RRT history. Patients who developed AKI during hospitalization were associated with 8 times (pooled OR = 9.03, 95% CI = 5.45-14.94) and 16.6 times (pooled OR = 17.58, 95% CI = 10.51-29.38) increased odds of death or being critical. At population level, each percentage increase in the underlying prevalence of diabetes, hypertension, chronic kidney disease, and tumor history was associated with 0.82% (95% CI = 0.40-1.24), 0.48% (95% CI = 0.18-0.78), 0.99% (95% CI = 0.18-1.79), and 2.85% (95% CI = 0.93-4.76) increased incidence of AKI across different settings, respectively. Although patients who had a kidney transplant presented with a higher incidence of AKI and RRT, their odds of mortality was lower. A positive trend of increased odds of death among AKI patients against the interval between symptom onset and hospital admission was observed.

Conclusion:

Underlying prevalence of non-communicable diseases partly explained the heterogeneity in the AKI incidence at population level. Delay in admission after symptom onset could be associated with higher mortality among patients who developed AKI and warrants further research.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Language: English Journal: Front Med (Lausanne) Year: 2021 Document Type: Article Affiliation country: Fmed.2021.678200

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Language: English Journal: Front Med (Lausanne) Year: 2021 Document Type: Article Affiliation country: Fmed.2021.678200