Evidence map›Paper›PMID 28543803›Full record

ArticleClinical cardiology2017

Predictive value of inflammatory factors on contrast-induced acute kidney injury in patients who underwent an emergency percutaneous coronary intervention.

Ying Yuan, Hong Qiu, Xiaoying Hu, Tong Luo, Xiaojin Gao, Xueyan Zhao, Jun Zhang, Yuan Wu, Shubin Qiao, Yuejin Yang and 1 more

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical cardiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 5 pooled it
5.2field-weighted citation impact, top 3% 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

44 citing papers in PubMed, 5 syntheses or guidelines pooled it, 85 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Ying YuanDepartment of Cardiology, Center for Coronary Heart Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID http://orcid.org/0000-0002-2706-9177
Hong QiuDepartment of Cardiology, Center for Coronary Heart Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xiaoying HuDepartment of Cardiology, Center for Coronary Heart Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Tong LuoDepartment of Cardiology, Center for Coronary Heart Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xiaojin GaoDepartment of Cardiology, Center for Coronary Heart Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xueyan ZhaoDepartment of Cardiology, Center for Coronary Heart Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jun ZhangDepartment of Cardiology, Center for Coronary Heart Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yuan WuDepartment of Cardiology, Center for Coronary Heart Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Shubin QiaoDepartment of Cardiology, Center for Coronary Heart Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yuejin YangDepartment of Cardiology, Center for Coronary Heart Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Runlin GaoDepartment of Cardiology, Center for Coronary Heart Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContrast-induced acute kidney injury (CI-AKI) is one of the most serious complications in patients who undergo percutaneous coronary intervention (PCI), especially in those with acute coronary syndrome. It has been shown that inflammation may play an important role in the pathophysiology of CI-AKI. HYPOTHESIS: Inflammatory factors may play a predominant role in the prediction of CI-AKI in patients who undergo emergency PCI.

methodsPatients who underwent emergency PCI from 2013 to 2015 were consecutively enrolled and were divided into CI-AKI and non-CI-AKI groups. Logistic analysis was used to identify the risk factors of CI-AKI. Receiver operator characteristic curve analysis was performed to evaluate the area under the curve (AUC) and to establish the optimal cutoff.

resultsA total of 1061 patients were included, and the CI-AKI rate was 5.47% (58/1061). Logistic analysis showed that the white blood cell (WBC) count (odds ratio [OR]: 1.103, 95% confidence interval [CI]: 1.018-1.195, P = 0.016), neutrophil (N) count (OR: 1.134, 95% CI: 1.045-1.232, P = 0.003), neutrophil to lymphocyte ratio (NLR) (OR: 1.105, 95% CI: 1.044-1.169, P = 0.001), C-reactive protein (CRP) level (OR: 1.006, 95% CI: 1.001-1.011, P = 0.020), high-sensitivity C-reactive protein (hs-CRP) level (OR: 1.099, 95% CI: 1.020-1.184, P = 0.013), and big endothelin-1 (ET-1) level (OR: 4.030, 95% CI: 1.989-8.165, P < 0.001) were all significant predictors for CI-AKI, as was the left ventricular ejection fraction and diuretic administration. The AUC of the big ET-1 level was the highest (0.793, 95% CI: 0.733-0.853), followed by the NLR (0.708, 95% CI: 0.641-0.774), hs-CRP level (0.705, 95% CI: 0.627-0.782), CRP level (0.684, 95% CI: 0.607-0.761), N count (0.655, 95% CI: 0.584-0.726), WBC count (0.620, 95% CI: 0.544-0.695), and erythrocyte sedimentation rate (0.611, 95% CI: 0.527-0.695).

conclusionsThe WBC count, N count, NLR, CRP level, hs-CRP level, and big ET-1 level are all associated with an increased risk of CI-AKI, and among which, the big ET-1 level, NLR, and the hs-CRP level might have high predictive value for CI-AKI after an emergency PCI.

Indexed as

Acute Kidney InjuryAgedArea Under CurveBiomarkersChi-Square DistributionContrast MediaC-Reactive ProteinEmergenciesEndothelin-1FemaleHumansInflammationInflammation MediatorsLogistic ModelsLymphocyte CountLymphocytesBiomarkersContrast MediaC-Reactive ProteinEndothelin-1Inflammation MediatorsContrast-Induced Acute Kidney InjuryEmergency Percutaneous Coronary InterventionInflammatory Factors

Identifiers

PMID28543803
PMCPMC6490320
OpenAlexW2618100463

What OpenQuestion holds

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Registered trials

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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.