Evidence map›Paper›PMID 32622355›Full record

ArticleCardiovascular diabetology2020

Augmented glycaemic gap is a marker for an increased risk of post-infarct left ventricular systolic dysfunction.

Yong Zhu, Kesen Liu, Shuai Meng, Ruofei Jia, Xuan Lei, Maolin Chen, Kaiyuan Zou, Huagang Zhu, Zening Jin

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2020. 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 15% 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.

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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

9 authors at 3 institutions in 1 country.

Yong ZhuDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China.
Kesen LiuDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China.
Shuai MengDepartment of Cardiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Ruofei JiaDepartment of Cardiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xuan LeiDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China.
Maolin ChenDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China.
Kaiyuan ZouDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China.
Huagang ZhuDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China.
Zening JinDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China. Jin_zening@163.com.
Capital Medical University · CNBeijing Anzhen Hospital · CNBeijing Tian Tan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeft ventricular systolic dysfunction (LVSD) occurs frequently after acute ST-segment elevation myocardial infarction (STEMI). The predisposing factors and underlying mechanism of post-infarct LVSD are not fully understood. The present study mainly investigated the correlation between glycaemic gap, a novel index of stress-induced hyperglycaemia (SIH), and post-infarct LVSD.

methodsA total of 274 first STEMI patients were enrolled in this cross-sectional study. Transthoracic echocardiography was performed within 48 h after admission and at 6 months after discharge to obtain left ventricular ejection fraction (LVEF). The change in LVEF was calculated as LVEF at 6 months after discharge minus baseline LVEF. Additionally, post-infarct LVSD was defined as LVEF ≤ 50%. Most importantly, glycaemic gap was calculated as admission blood glucose (ABG) minus the estimated average glucose over the previous 3 months.

resultsIn patients without diabetes mellitus (DM), multivariate linear regression analysis revealed that both glycaemic gap (Beta = - 1.214, 95% CI - 1.886 to - 0.541, p < 0.001) and ABG (Beta = - 1.124, 95% CI - 1.795 to - 0.453, p = 0.001) were associated with change in LVEF. In DM patients, only glycaemic gap was still associated with change in LVEF, although this association was not observed in univariate linear regression analysis. Regarding the association between SIH and post-infarct LVSD, multivariate logistic regression analysis revealed that both glycaemic gap (OR = 1.490, 95% CI 1.043 to 2.129, p = 0.028) and ABG (OR = 1.600, 95% CI 1.148 to 2.229, p = 0.005) were associated with an increased risk of having post-infarct LVSD in non-DM patients. However, after multivariate adjustment in DM patients, only glycaemic gap (OR = 1.399, 95% CI 1.021 to 1.919, p = 0.037) remained associated with an increased risk of having post-infarct LVSD. Furthermore, the predictive value of glycaemic gap for post-infarct LVSD was not inferior to ABG in non-DM patients (p = 0.499), and only glycaemic gap, instead of ABG, could significantly predict post-infarct LVSD in DM patients (AUC = 0.688, 95% CI 0.591 to 0.774, p = 0.002).

conclusionsGlycaemic gap was strongly associated with a change in LVEF and an increased risk of having post-infarct LVSD in patients following STEMI. In STEMI patients with DM, glycaemic gap could provide more valuable information than ABG in identifying patients at high risk of developing post-infarct LVSD.

Indexed as

Stroke VolumeVentricular Function, LeftAdultAgedBiomarkersBlood GlucoseCross-Sectional StudiesFemaleHumansHyperglycemiaMaleMiddle AgedPatient AdmissionPrognosisRisk AssessmentRisk FactorsBiomarkersBlood GlucoseAdmission blood glucoseChange in LVEFGlycaemic gapLeft ventricular systolic dysfunctionStress-induced hyperglycaemiaST-segment elevation myocardial infarction

Identifiers

PMID32622355
PMCPMC7335441
OpenAlexW3039077739

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.