ArticleDiabetes & metabolic syndrome
Urine abnormalities predict acute kidney injury in COVID-19 patients: An analysis of 110 cases in Chennai, South India.
Article in Diabetes & metabolic syndrome. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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14 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Global geographic and socioeconomic disparities in COVID-associated acute kidney injury: a systematic review and meta-analysis.Journal of global health · 2025Pooled it
- Urine Parameters in Patients with COVID-19 Infection.Life (Basel, Switzerland) · 2023Review
- Demographic characteristics, clinical presentation and in-hospital outcome among patients with Covid-19 in a Nigerian tertiary hospital.Malawi medical journal : the journal of Medical Association of Malawi · 2023Article
- The Investigation of Kidney Involvement in 430 Hospitalized Patients with Omicron COVID-19 in Tianjin, China.Blood purification · 2023Article
- Article
- Urinalysis, but Not Blood Biochemistry, Detects the Early Renal Impairment in Patients with COVID-19.Diagnostics (Basel, Switzerland) · 2022Article
- Kidney Injury in COVID-19: Epidemiology, Molecular Mechanisms and Potential Therapeutic Targets.International journal of molecular sciences · 2022Review
- Using dipstick urinalysis to predict development of acute kidney injury in patients with COVID-19.BMC nephrology · 2022Article
- Management of Acute Kidney Injury and Extracorporeal Blood Purification Therapies During the COVID-19 Pandemic: The Italian SIN-SIAARTI Joint Survey (and Recommendations for Clinical Practice).Frontiers in medicine · 2022Article
- Clinical profile and outcomes of COVID-19 patients with acute kidney injury: a tertiary centre experience from South India.Clinical and experimental nephrology · 2022Observational
- Association of AKI-D with Urinary Findings and Baseline eGFR in Hospitalized COVID-19 Patients.Kidney360 · 2021Article
- Renal Thrombotic Microangiopathy in Concurrent COVID-19 Vaccination and Infection.Pathogens (Basel, Switzerland) · 2021Article
- Pathophysiology and Clinical Manifestations of COVID-19-Related Acute Kidney Injury-The Current State of Knowledge and Future Perspectives.International journal of molecular sciences · 2021Review
- Correlation of AKI with Risk Factors, Ventilatory Support, Renal Replacement Therapy in a Cohort of COVID-19 Patients.Indian journal of nephrologyArticle
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Authors and funding
3 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimsRenal involvement in Covid-19 infection is varied and can affect glomeruli, tubules, interstitium and can cause acute kidney injury (AKI). AKI is a strong predictor of mortality. Routine urinalysis gives an insight into the renal pathology of the patient. We studied the incidence of urinary abnormalities in hospitalised Covid-19 patients and analysed their impact on development of AKI and mortality.
methodsInformation on 110 hospitalised patients with confirmed Covid-19 was retrospectively collected and analysed. The demographic data such as age, gender, comorbid conditions such as diabetes mellitus, the need for dialysis and laboratory data such as urine for albumin, glucose, RBC and WBC, and serum creatinine were collected. The diagnosis of AKI was based on the KDIGO criteria. The outcomes studied were development of AKI and hospital mortality.
resultsUrine abnormalities were seen in 71% of the patients. Proteinuria in 58.2%, haematuria in 17.3%, pyuria in 8.2% of patients and concurrent proteinuria and haematuria was seen in 13.6% of patients. AKI was seen in 28.2% of patients and hospital mortality was 24.5%. AKI was strongly associated with mortality. Proteinuria and haematuria were good predictors of development of AKI, more strongly when they occurred concurrently (p < 0.01).
conclusionOur results suggest that urine analysis is a simple test, which can be used to predict development of AKI and mortality and may be used for risk stratification of Covid-19 patients, especially in low resource settings.
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