Evidence map›Paper›PMID 33208092›Full record

Observational studyBMC cardiovascular disorders2020

Addition of routine blood biomarkers to TIMI risk score improves predictive performance of 1-year mortality in patients with ST-segment elevation myocardial infarction.

Pyung Chun Oh, Young Sil Eom, Jeonggeun Moon, Ho-Jun Jang, Tae-Hoon Kim, Jon Suh, Min Gyu Kong, Sang-Don Park, Sung Woo Kwon, Soon Yong Suh and 4 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMC cardiovascular disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Trial
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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

14 authors.

Pyung Chun OhDepartment of Cardiology, Gil Medical Center, Gachon University College of Medicine, 1198 Guwol-dong, Namdong-gu, Incheon, Republic of Korea, 405-760.
Young Sil EomDepartment of Endocrinology and Metabolism, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea.
Jeonggeun MoonDepartment of Cardiology, Gil Medical Center, Gachon University College of Medicine, 1198 Guwol-dong, Namdong-gu, Incheon, Republic of Korea, 405-760.
Ho-Jun JangDepartment of Cardiology, Sejong General Hospital, Bucheon, Republic of Korea.
Tae-Hoon KimDepartment of Cardiology, Sejong General Hospital, Bucheon, Republic of Korea.
Jon SuhDepartment of Cardiology, Soon Chun Hyang University Bucheon Hospital, Bucheon, Republic of Korea.
Min Gyu KongDepartment of Cardiology, Soon Chun Hyang University Bucheon Hospital, Bucheon, Republic of Korea.
Sang-Don ParkDepartment of Cardiology, Inha University Hospital, Incheon, Republic of Korea.
Sung Woo KwonDepartment of Cardiology, Inha University Hospital, Incheon, Republic of Korea.
Soon Yong SuhDepartment of Cardiology, Gil Medical Center, Gachon University College of Medicine, 1198 Guwol-dong, Namdong-gu, Incheon, Republic of Korea, 405-760.
Kyounghoon LeeDepartment of Cardiology, Gil Medical Center, Gachon University College of Medicine, 1198 Guwol-dong, Namdong-gu, Incheon, Republic of Korea, 405-760.
Seung Hwan HanDepartment of Cardiology, Gil Medical Center, Gachon University College of Medicine, 1198 Guwol-dong, Namdong-gu, Incheon, Republic of Korea, 405-760.
Taehoon AhnDepartment of Cardiology, Gil Medical Center, Gachon University College of Medicine, 1198 Guwol-dong, Namdong-gu, Incheon, Republic of Korea, 405-760.
Woong Chol KangDepartment of Cardiology, Gil Medical Center, Gachon University College of Medicine, 1198 Guwol-dong, Namdong-gu, Incheon, Republic of Korea, 405-760. kangwch@gilhospital.com.ORCID 0000-0003-4590-7178

Funding

Ministry of Health & Welfare, Republic of Korea HI16C2319
6 · The paper itself

Abstract

backgroundSeveral biomarkers have been proposed as independent predictors of poor outcomes in ST-segment elevation myocardial infarction (STEMI). We investigated whether adding information obtained from routine blood tests including hypoxic liver injury (HLI), dysglycemia, anemia, and high neutrophil to lymphocyte ratio (NLR) could improve the prognostic performance of the TIMI risk score for the prediction of 1-year mortality.

methodsA total of 1057 patients with STEMI undergoing primary percutaneous coronary intervention (PCI) between 2007 and 2014 were retrospectively enrolled from 4-regional hospitals. HLI and dysglycemia were defined as serum transaminase > twice the normal upper limit and glucose < 90 or > 250 mg/dL, respectively. The effect of adding biomarkers to the TIMI risk score on its discriminative ability was assessed using c-statistic, net reclassification improvement (NRI), and integrated discrimination improvement (IDI).

resultsThe 1-year mortality rate was 7.1%. The best cutoff value of NLR for the prediction of 1-year mortality was 4.3 (sensitivity, 67%; specificity, 65%). HLI (HR 2.019; 95% CI 1.104-3.695), dysglycemia (HR 2.535; 95% CI 1.324-3.923), anemia (HR 2.071; 95% CI 1.093-3.923), and high NLR (HR 3.651; 95% CI 1.927-6.918) were independent predictors of 1-year mortality. When these 4 parameters were added to the TIMI risk score, the c-statistic significantly improved from 0.841 to 0.876 (p < 0.001), and the NRI and IDI were estimated at 0.203 (95% CI 0.130-0.275; p < 0.001) and 0.089 (95% CI 0.060-0.119; p < 0.001), respectively.

conclusionsThe addition of HLI, dysglycemia, anemia, and high NLR to the TIMI risk score may be useful for very early risk stratification in patients with STEMI receiving primary PCI.

Indexed as

Blood Chemical AnalysisLymphocytesNeutrophilsAgedAged, 80 and overAlanine TransaminaseAspartate AminotransferasesBiomarkersBlood GlucoseFemaleHemoglobinsHumansLymphocyte CountMaleMiddle AgedPatient AdmissionAlanine TransaminaseAspartate AminotransferasesBiomarkersBlood GlucoseHemoglobinsAnemiaDysglycemiaHypoxic liver injuryMortalityNeutrophil to lymphocyte ratioRisk scoreST-segment elevation myocardial infarction

Identifiers

PMID33208092
PMCPMC7672980

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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.