Evidence map›Paper›PMID 33859840›Full record

ArticleCardiology research and practice2021

A Simple Nomogram to Predict Contrast-Induced Acute Kidney Injury in Patients with Congestive Heart Failure Undergoing Coronary Angiography.

Li Lei, Yibo He, Zhaodong Guo, Bowen Liu, Jin Liu, Zhiqiang Nie, Guanzhong Chen, Liwei Liu, Mengfei Lin, Wenhe Yan and 3 more

Abstract read
In one paragraph

Article in Cardiology research and practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Li LeiThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0001-5429-9675
Yibo HeDepartment of Cardiology, Provincial Key Laboratory of Coronary Heart Disease, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital Affiliated with South China University of Technology, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
Zhaodong GuoDepartment of Cardiology, Provincial Key Laboratory of Coronary Heart Disease, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital Affiliated with South China University of Technology, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
Bowen LiuGuangdong Provincial People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China.
Jin LiuDepartment of Cardiology, Provincial Key Laboratory of Coronary Heart Disease, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital Affiliated with South China University of Technology, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
Zhiqiang NieDepartment of Cardiology, Provincial Key Laboratory of Coronary Heart Disease, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital Affiliated with South China University of Technology, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
Guanzhong ChenGuangdong Provincial People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0003-3609-2288
Liwei LiuThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China.
Mengfei LinDepartment of Cardiology, Maoming People's Hospital, Maoming, Guangdong, China.
Wenhe YanDepartment of Cardiology, Maoming People's Hospital, Maoming, Guangdong, China.
Shiqun ChenDepartment of Cardiology, Provincial Key Laboratory of Coronary Heart Disease, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital Affiliated with South China University of Technology, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0002-2847-019X
Chen JiyanThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0003-1216-9316
Yong LiuThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0003-2224-4885

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with congestive heart failure (CHF) are vulnerable to contrast-induced kidney injury (CI-AKI), but few prediction models are currently available. Therefore, we aimed to establish a simple nomogram for CI-AKI risk assessment for patients with CHF undergoing coronary angiography.

methodsA total of 1876 consecutive patients with CHF (defined as New York Heart Association functional class II-IV or Killip class II-IV) were enrolled and randomly (2:1) assigned to a development cohort and a validation cohort. The endpoint was CI-AKI defined as serum creatinine elevation of ≥0.3 mg/dL or 50% from baseline within the first 48-72 hours following the procedure. Predictors for the simple nomogram were selected by multivariable logistic regression with a stepwise approach. The discriminative power was assessed using the area under the receiver operating characteristic (ROC) curve and was compared with the classic Mehran score in the validation cohort. Calibration was assessed using the Hosmer-Lemeshow test and 1000 bootstrap samples.

resultsThe incidence of CI-AKI was 9.06% (170) in the total sample, 8.64% (

conclusionsThe present simple nomogram including four predictors is a simple and reliable tool to identify CHF patients at risk of CI-AKI, whereas further external validations are needed.

Identifiers

PMID33859840
PMCPMC8009707

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