Evidence map›Paper›PMID 25888371›Full record

Observational studyJournal of the American Heart Association2015

Preprocedural N-terminal pro-brain natriuretic peptide (NT-proBNP) is similar to the Mehran contrast-induced nephropathy (CIN) score in predicting CIN following elective coronary angiography.

Yong Liu, Yi-ting He, Ning Tan, Ji-yan Chen, Yuan-hui Liu, Da-hao Yang, Shui-jin Huang, Piao Ye, Hua-long Li, Peng Ran and 4 more

Open access · goldAbstract readObservational Study

PubMed Full text at PMC Publisher

In one paragraph

Observational study in Journal of the American Heart Association, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it

0cells of the map it votes in

10citing papers in PubMed

1.5field-weighted citation impact, top 18% of its field

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 17 citations in OpenAlex.

A simple proteinuria-based risk score predicts contrast-associated acute kidney injury after percutaneous coronary intervention.Scientific reports · 2022
Trial
Applicable Machine Learning Model for Predicting Contrast-induced Nephropathy Based on Pre-catheterization Variables.Internal medicine (Tokyo, Japan) · 2024
Article
Predictive value of systemic immune-inflammation index combined with N-terminal pro-brain natriuretic peptide for contrast-induced acute kidney injury in patients with STEMI after primary PCI.International urology and nephrology · 2024
Article
Risk factors of contrast-induced nephropathy after percutaneous coronary intervention: a retrospective analysis.The Journal of international medical research · 2021
Article
A Predictive Model Based on a New CI-AKI Definition to Predict Contrast Induced Nephropathy in Patients With Coronary Artery Disease With Relatively Normal Renal Function.Frontiers in cardiovascular medicine · 2021
Article
The Ratio of NT-proBNP to CysCFrontiers in cardiovascular medicine · 2021
Article
Inhibiting PKCβ2 protects HK-2 cells against meglumine diatrizoate and AGEs-induced apoptosis and autophagy.Annals of translational medicine · 2020
Article
Retinal Vascular Density as A Novel Biomarker of Acute Renal Injury after Acute Coronary Syndrome.Scientific reports · 2019
Article
Predicting acute kidney injury using urinary liver-type fatty-acid binding protein and serum N-terminal pro-B-type natriuretic peptide levels in patients treated at medical cardiac intensive care units.Critical care (London, England) · 2018
Article
Association of N-terminal pro-brain natriuretic peptide with contrast-induced acute kidney injury and long-term mortality in patients with heart failure and mid-range ejection fraction: An observation study.Medicine · 2017
Observational

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 1 country.

Yong LiuDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (Y.L., Y.H., N.T., J.C., Y.L., D.Y., S.J.H., P.Y., H.L., P.R., Y.Z.).

Yi-ting HeDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (Y.L., Y.H., N.T., J.C., Y.L., D.Y., S.J.H., P.Y., H.L., P.R., Y.Z.) Department of Cardiology, The First People's Hospital of Shunde, Foshan, China (Y.H.).

Ning TanDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (Y.L., Y.H., N.T., J.C., Y.L., D.Y., S.J.H., P.Y., H.L., P.R., Y.Z.).

Ji-yan ChenDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (Y.L., Y.H., N.T., J.C., Y.L., D.Y., S.J.H., P.Y., H.L., P.R., Y.Z.).

Yuan-hui LiuDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (Y.L., Y.H., N.T., J.C., Y.L., D.Y., S.J.H., P.Y., H.L., P.R., Y.Z.).

Da-hao YangDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (Y.L., Y.H., N.T., J.C., Y.L., D.Y., S.J.H., P.Y., H.L., P.R., Y.Z.).

Shui-jin HuangDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (Y.L., Y.H., N.T., J.C., Y.L., D.Y., S.J.H., P.Y., H.L., P.R., Y.Z.).

Piao YeDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (Y.L., Y.H., N.T., J.C., Y.L., D.Y., S.J.H., P.Y., H.L., P.R., Y.Z.).

Hua-long LiDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (Y.L., Y.H., N.T., J.C., Y.L., D.Y., S.J.H., P.Y., H.L., P.R., Y.Z.).

Peng RanDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (Y.L., Y.H., N.T., J.C., Y.L., D.Y., S.J.H., P.Y., H.L., P.R., Y.Z.).

Chong-yang DuanNational Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Department of Biostatistics, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou, China (C.D., S.C., P.Y.C.).

Shi-qun ChenNational Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Department of Biostatistics, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou, China (C.D., S.C., P.Y.C.).

Ying-ling ZhouDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (Y.L., Y.H., N.T., J.C., Y.L., D.Y., S.J.H., P.Y., H.L., P.R., Y.Z.).

Ping-yan ChenNational Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Department of Biostatistics, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou, China (C.D., S.C., P.Y.C.).

Guangdong General Hospital · CNGuangdong Academy of Medical Sciences · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundN-terminal pro-brain natriuretic peptide (NT-proBNP) has been associated with important risk factors for contrast-induced nephropathy (CIN). However, few studies have investigated the predictive value of NT-proBNP itself. This study investigated whether levels of preprocedural NT-proBNP could predict CIN after elective coronary angiography as effectively as the Mehran CIN score. METHODS AND

resultsWe retrospectively observed 2248 patients who underwent elective coronary angiography. The predictive value of preprocedural NT-proBNP for CIN was assessed by receiver operating characteristic and multivariable logistic regression analysis. The 50 patients (2.2%) who developed CIN had higher Mehran risk scores (9.5 ± 5.1 versus 4.8 ± 3.8), and higher preprocedural levels of NT-proBNP (5320 ± 7423 versus 1078 ± 2548 pg/mL, P<0.001). Receiver operating characteristic analysis revealed that NT-proBNP was not significantly different from the Mehran CIN score in predicting CIN (C=0.7657 versus C=0.7729, P=0.8431). An NT-proBNP cutoff value of 682 pg/mL predicted CIN with 78% sensitivity and 70% specificity. Multivariable analysis suggested that, after adjustment for other risk factors, NT-proBNP >682 pg/mL was significantly associated with CIN (odds ratio: 4.007, 95% CI: 1.950 to 8.234; P<0.001) and risk of death (hazard ratio: 2.53; 95% CI: 1.49 to 4.30; P=0.0006).

conclusionsPreprocedural NT-proBNP >682 pg/mL was significantly associated with the risk of CIN and death. NT-proBNP, like the Mehran CIN score, may be another useful and rapid screening tool for CIN and death risk assessment, identifying subjects who need therapeutic measures to prevent CIN.

Indexed as

Acute Kidney InjuryContrast MediaCoronary AngiographyCreatinineFemaleGlomerular Filtration RateHumansMaleMiddle AgedNatriuretic Peptide, BrainPeptide FragmentsPredictive Value of TestsProspective StudiesRisk FactorsROC CurveTreatment OutcomeContrast MediaCreatinineNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)contrast‐induced nephropathycoronary angiographyN‐terminal pro‐brain natriuretic peptide

Identifiers

PMID25888371

DOI10.1161/JAHA.114.001410

PMCPMC4579954

OpenAlexW2150968408

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