ArticleRenal failure2024
Risk factors and early prediction of cardiorenal syndrome type 3 among acute kidney injury patients: a cohort study.
Article in Renal failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Article
- A predictive model for the risk of death within 30 days in patients with cardiorenal syndrome treated with continuous renal replacement therapy: A retrospective study based on the MIMIC-IV database.Scientific reports · 2026Article
- Acute kidney injury: pathogenesis and therapeutic interventions.Molecular biomedicine · 2025Review
- Development and validation of interpretable machine learning models for predicting AKI risk in patients treated with PD-1/PD-L1: a retrospective study.BMC medical informatics and decision making · 2025Article
- Cardiorenal syndrome: clinical diagnosis, molecular mechanisms and therapeutic strategies.Acta pharmacologica Sinica · 2025Review
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Authors and funding
5 authors.
Funding
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Abstract
backgroundType 3 cardiorenal syndrome (CRS type 3) triggers acute cardiac injury from acute kidney injury (AKI), raising mortality in AKI patients. We aimed to identify risk factors for CRS type 3 and develop a predictive nomogram.
methodsIn this retrospective study, 805 AKI patients admitted at the Department of Nephrology, Second Hospital of Shanxi Medical University from 1 January 2017, to 31 December 2021, were categorized into a study cohort (406 patients from 2017.1.1-2021.6.30, with 63 CRS type 3 cases) and a validation cohort (126 patients from 1 July 2021 to 31 Dec 2021, with 22 CRS type 3 cases). Risk factors for CRS type 3, identified by logistic regression, informed the construction of a predictive nomogram. Its performance and accuracy were evaluated by the area under the curve (AUC), calibration curve and decision curve analysis, with further validation through a validation cohort.
resultsThe nomogram included 6 risk factors: age (OR = 1.03; 95%CI = 1.009-1.052;
conclusionsWe developed a nomogram predicting CRS type 3 in AKI patients, incorporating 6 risk factors: age, CVD history, MAP, hemoglobin, homocysteine, and AKI stage, enhancing early risk identification and patient management.
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