Evidence map›Paper›PMID 40731118›Full record

ArticleScientific reports2025

The different effects of admission blood glucose levels on the outcomes of ST elevation myocardial infarction patients with and without diabetes.

Naimeh Mesri Alamdari, Neda Lotfi Yagin, Samad Ghaffari, Neda Roshanravan, Anita Zarrintan, Majid Mobbaseri

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Naimeh Mesri AlamdariEndocrine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Neda Lotfi YaginEndocrine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Samad GhaffariCardiovascular Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Neda RoshanravanThe Iranian Network of Cardiovascular Research (INCVR), Tehran, Iran.
Anita ZarrintanEndocrine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. a.zarrintan@gmail.com.
Majid MobbaseriEndocrine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. mobasserimajid@yahoo.com.

Funding

Vice Chancellor of Tabriz University of Medical Sciences, IRAN 74350
6 · The paper itself

Abstract

The effects of hyperglycemia on the prognosis of MI patients remain uncertain. This investigation evaluates the prognostic significance of hyperglycemia upon hospital admission in patients with ST-Elevation Myocardial Infarction and assesses how diabetes mellitus (DM) affects its prognostic relevance. This cross-sectional study examined data from 334 patients diagnosed with ST-segment elevation acute coronary syndrome, obtained from the Persian Cardiovascular Disease Registry. The study assessed hospital and one-year mortality as primary outcomes. Furthermore, cut-off points for blood glucose level on admission were determined and the predictive value of these cut-off values was analyzed using logistic regression analysis. In-hospital and one-year mortality rates were 22.1% and 26% for diabetic patients, and 20.2% and 24.1% for non-diabetic patients, with no substantial discrepancy between the groups (P = 0.607, P = 0.401). ROC curve analysis determined the admission blood glucose cut-off for predicting hospital mortality at 214 mg/dl in patients with diabetes (AUC = 0.66) and 148 mg/dl in patients without diabetes (AUC = 0.71). Blood glucose values was an independent factors related to in-hospital mortality, with odds ratios of 3.78 (95% CI 1.33-10.68, P = 0.012) for diabetics and 3.07 (95% CI 1.25-7.51, P = 0.014) for non-diabetics. Additionally, heightened admission glucose was correlated with greater mortality in one year in patients affected with MI irrespective of diabetes status. Blood glucose levels at admission independently predicted increased risk of mortality both during hospitalization and at one-year follow-up in patients with MI, with a notable effect on non-diabetic patients.

Indexed as

Blood GlucoseDiabetes MellitusST Elevation Myocardial InfarctionAgedCross-Sectional StudiesFemaleHospitalizationHospital MortalityHumansHyperglycemiaMaleMiddle AgedPatient AdmissionPrognosisRisk FactorsROC CurveBlood GlucoseDiabetes mellitusHyperglycemiaMortalityMyocardial infarctionSTEMI

Identifiers

PMID40731118
PMCPMC12307917

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