Evidence map›Paper›PMID 33310809›Full record

ArticleBMJ open2020

Maximum blood glucose levels during hospitalisation to predict mortality in patients with acute coronary syndrome: a retrospective cohort study.

Jun Qian, Lijun Kuang, Lin Che, Fei Chen, Xuebo Liu

Abstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
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.

  1. Observational
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jun QianDepartment of Cardiology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Lijun KuangDepartment of Ultrasound, Luwan Branch, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Lin CheDepartment of Cardiology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Fei ChenDepartment of Cardiology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China liuxb70@126.com riverapt@126.com.
Xuebo LiuDepartment of Cardiology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China liuxb70@126.com riverapt@126.com.ORCID 0000-0003-3410-7204

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim in this study was to stratify maximum blood glucose levels to identify the the best cut-off value of glucose levels to predict mortality in acute coronary syndrome (ACS) patients, regardless of whether they had diabetes.

designA retrospective cohort study.

settingAll clinical data were obtained from the 'Medical Information Mart for Intensive Care III' database.

participantsA total of 3078 patients with ACS were included in the study. We divided the patients into four levels based on their maximum blood glucose levels (glucose

resultsAmong enrolled patients, 2780 and 298 were survivors and non-survivors, respectively. Blood glucose levels and mortality showed a 'tick' type relationship, with levels 3 and 4 found to be closely associated with increased hospital mortality (p<0.05), relative to level 1 (<6.1 mmol/L), used as the reference group. No significant association was observed in mortality between level 2 and level 1 (p=0.095). In addition, we found a gradual increase in OR for level 2 (OR: 2.42, 95% CI 0.86 to 6.80, p=0.095), level 3 (OR: 4.33, 95% CI 1.55 to 12.13, p=0.005) and level 4 (OR: 7.27, 95% CI 2.56 to 20.62, p<0.001), relative to level 1. Based on receiver operating characteristic curves, the optimal cut-off value for predicting mortality were 11.5 (area under curve (AUC)=0.724), 11.2 (AUC=0.729), 13.4 (AUC=0.638), 15.8 (AUC=0.717) and 11.3 mmol/L (AUC=0.764) in all ACS, acute myocardial infarction, unstable angina, diabetes and non-diabetes patients, respectively. The results of subgroup analysis suggested that in patients with significantly elevated blood glucose, the mortality of non-diabetes was higher than patients with diabetes (OR: 0.42, 95% CI 0.31 to 0.57, p<0.001).

conclusionOverall, glucose

Indexed as

Acute Coronary SyndromeBlood GlucoseHospitalizationMyocardial InfarctionAgedAged, 80 and overFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesBlood Glucoseadult cardiologycoronary heart diseasemyocardial infarction

Identifiers

PMID33310809
PMCPMC7735113

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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.