ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2026
Establishing a clinical tool to predict acute kidney injury in pulmonary tuberculosis: insights from a large-scale retrospective study.
Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundAcute kidney injury (AKI) is a potentially serious complication that may arise during the course of anti-tuberculosis therapy in patients with pulmonary tuberculosis (PTB). Reliable tools for predicting AKI risk in this population remain limited. This study aimed to construct a clinical model for early detection of individuals at increased risk of AKI during treatment.
methodsThis study retrospectively analyzed 1,045 hospitalized PTB patients treated with standard anti-TB regimens. Multivariable logistic regression was used to identify independent predictors of AKI. A clinical nomogram was developed and validated using discrimination, calibration, and decision curve analysis.
resultsAKI occurred in 16.6% of patients. Eight predictors were identified: age, body mass index (BMI), CA-125, microalbuminuria, hematuria, albumin (ALB), cystatin-C (CYS-C), and estimated glomerular filtration rate (eGFR). The model demonstrated excellent predictive performance (AUC: 0.97 in the training cohort and 0.96 in the validation cohort) and good clinical applicability.
conclusionsThis study developed and internally validated a practical nomogram for risk prediction of AKI in patients with PTB. The tool, based on routinely available variables, may support early risk stratification and targeted renal monitoring.
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