Evidence map›Paper›PMID 40000938›Full record

ArticleBMC cardiovascular disorders2025

A nomogram to predict congestive heart failure in patients with acute kidney injury: a retrospective study based on the MIMIC-III database.

Quankuan Gu, Yucheng Qi, Yaxin Xiong, Xinyue Ma, Jun Lyu, Wei Yang, Xianglin Meng, Mingyan Zhao

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Quankuan GuDepartment of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, 150001, Heilongjiang Province, China.
Yucheng QiDepartment of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, 150001, Heilongjiang Province, China.
Yaxin XiongDepartment of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, 150001, Heilongjiang Province, China.
Xinyue MaDepartment of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, 150001, Heilongjiang Province, China.
Jun Lyu *Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China. lyujun2020@jnu.edu.cn.
Wei Yang *Department of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, 150001, Heilongjiang Province, China. icuyangwei@sina.com.
Xianglin Meng *Department of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, 150001, Heilongjiang Province, China. mengzi98@163.com.
Mingyan Zhao *Department of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, 150001, Heilongjiang Province, China. mingyan197@gmail.com.

Funding

Heilongjiang Province Key R&D Program GA21C011National Natural Scientific Foundation of China 82172164
6 · The paper itself

Abstract

objectObjective: Acute Kidney Injury (AKI) is a renal disease marked by diminished urine output and elevated serum creatinine levels. AKI has a global incidence rate of about 20%, with an average mortality rate of 23%. Cardiovascular disease emerges as one of the primary causes of death associated with AKI. We developed a nomogram to estimate the probability of patients with AKI developing congestive heart failure.

methodWe conducted a retrospective study of patients with AKI, using the MIMIC-III database. The patients were randomly divided into training and validation cohorts. Variables were selected via logistic regression, followed by the construction of the nomogram. The accuracy and sensitivity of the predictive model were verified using the Hosmer-Lemeshow test (HL) and the Area Under the Curve (AUC). The nomogram and SOFA scores were compared to APSIII using the Net Reclassification Index (NRI), Integrated Discrimination Improvement (IDI), Calibration curves, and Decision Curve Analysis (DCA).

resultsThe final study included 9,174 individuals. The multivariate logistic regression revealed a correlation between age, Systolic Blood Pressure (SBP), Partial Pressure of Oxygen (PO2), hemoglobin, Blood Urea Nitrogen (BUN), Chloride (Cl

Indexed as

Acute Kidney InjuryDecision Support TechniquesHeart FailureNomogramsAgedAged, 80 and overDatabases, FactualFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisReproducibility of ResultsRetrospective StudiesRisk AssessmentAcute kidney injuryCongestive heart failureMIMIC-IIINomogramPrognosis

Identifiers

PMID40000938
PMCPMC11853194

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.