ArticleJournal of clinical medicine2023
The Prediction Score of Acute Kidney Injury in Patients with Severe COVID-19 Infection.
Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Global geographic and socioeconomic disparities in COVID-associated acute kidney injury: a systematic review and meta-analysis.Journal of global health · 2025Pooled it
- Four-organ SOFA score as a potential tool to triage use of continuous kidney replacement therapy in COVID-19 patients with acute kidney injury: a retrospective two-center study.Renal failure · 2026Article
- COVID-19 and Kidney: The Importance of Follow-Up and Long-Term Screening.Life (Basel, Switzerland) · 2023Review
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe incidence and risk factors for acute kidney injury in COVID-19 patients vary across studies, and predicting models for AKI are limited. This study aimed to identify the risk factors for AKI in severe COVID-19 infection and develop a predictive model for AKI.
methodData were collected from patients admitted to the ICU at Thammasat University Hospital in Thailand with PCR-confirmed COVID-19 between 1 January 2021, and 30 June 2022.
resultsAmong the 215 severe-COVID-19-infected patients, 102 (47.4%) experienced AKI. Of these, 45 (44.1%), 29 (28.4%), and 28 (27.4%) patients were classified as AKI stage 1, 2, and 3, respectively. AKI was associated with 30-day mortality. Multivariate logistic regression analysis revealed that prior diuretic use (odds ratio [OR] 7.87, 95% confidence interval [CI] 1.98-31.3;
conclusionsOur study identified risk factors for AKI in severe COVID-19 infection, including prior diuretic use, an APACHE II score ≥ 12, and the use of a MV. The predictive tool exhibited good performance for predicting AKI.
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