Affiliation:
1. Faculty of Medicine Iran University of Medical Sciences (IUMS) Tehran Iran
2. Faculty of Medicine Shahid Beheshti University of Medical sciences Tehran Iran
3. Student Research Committee Babol University of Medical Sciences Babol Iran
4. Cellular and Molecular Biology Research Center, Health Research Institute Babol University of Medical Sciences Babol Iran
5. Infectious Diseases and Tropical Medicine Research Center, Health Research Institute Babol University of Medical Sciences Babol Iran
Abstract
AbstractBackgroundAcute kidney injury (AKI) is a prevalent complication of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection, and a predictor of disease severity and mortality; furthermore, a prompt diagnosis and treatment of this complication may enhance COVID‐19 prognosis. Therefore, we aim to investigate potential risk factors for SARS‐CoV‐2‐associated AKI, including SARS‐CoV‐2 PCR cycle threshold value (CT value), which correlation with AKI is conflicting.MethodsThis case–control study included 110 hospitalized patients with SARS‐CoV‐2‐associated AKI as cases and 110 random SARS‐CoV‐2 hospitalized patients as controls. Reverse transcription real‐time PCR of admission nasopharyngeal swabs evaluated E gene cycle thresholds. Additional clinical and paraclinical information extracted from medical records. The patient's status at discharge, and 14 and 30 days after discharge. Therefore, after adjusting for age and gender, the correlation between variables was assessed.ResultsSARS‐CoV‐2 AKI is significantly associated with age above 60, hypertension, diabetes mellitus, ischemic heart disease, and underlying kidney diseases. Abnormal admission hemoglobin or alkaline phosphatase, proteinuria or hematuria in urine sediment, and abnormal creatinine during hospitalization were the paraclinical features correlated to SARS‐CoV‐2 AKI. AKI group demonstrated greater in‐hospital, 14‐ and 30‐day mortality. Nevertheless, this study did not evidence a correlation between the admission CT value and mortality or AKI.ConclusionAdmission CT values provide limited information regarding the dynamic viral load and varying hospitalization time points; thus, they may not be reliable for predicting the prognosis and complications of COVID‐19 in all populations. Further studies with serial CT measurements or symptom onset time adjustment are recommended.
Reference35 articles.
1. ILO IFAD WHO.Impact of COVID‐19 on people's livelihoods their health and our food systems.2020Accessed October 13 2020. Available from:https://www.who.int/news/item/13‐10‐2020‐impact‐of‐covid‐19‐on‐people's‐livelihoods‐their‐health‐and‐our‐food‐systems
2. Immune thrombocytopenic purpura secondary to
COVID
‐19 vaccination: A systematic review
3. Healthcare use and RT‐PCR testing during the first wave of the COVID‐19 pandemic in Japan
4. SARS-CoV-2 Omicron (B.1.1.529) Variant: A Challenge with COVID-19
5. WHO.WHO coronavirus (COVID‐19) dashboard. These variants have been responsible for approximately 7 million deaths and 770 million confirmed cases to date.2023. Accessed March 3 2024. Available from:https://covid19.who.int/