Evidence map›Paper›PMID 40615954›Full record

ArticleBMC cardiovascular disorders2025

Admission heart rate and in-hospital mortality in acute myocardial infarction: a contemporary analysis of the MIMIC-III cohort.

Weidong Lan, Bitong He, Sailing Hu

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Article in BMC cardiovascular disorders, 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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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Weidong LanDepartment of Rehabilitation Medicine, The First People's Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, No. 199, Shixin Road, Chengxiang Street, Xiaoshan District, Hangzhou, Zhejiang Province, 311200, China.
Bitong HeLishui Municipal Central Hospital and the Fifth Affiliated Hospital of Wenzhou Medical University, No. 289, Kuocang Road, Lishui, Zhejiang Province, 323000, China.
Sailing HuLishui Municipal Central Hospital and the Fifth Affiliated Hospital of Wenzhou Medical University, No. 289, Kuocang Road, Lishui, Zhejiang Province, 323000, China. hsl15157813202@126.com.

Funding

Science and Technology Department of Zhejiang Province NO.LLSSY24H020003
6 · The paper itself

Abstract

objectiveTo quantify the shape and strength of the association between heart rate (HR) recorded during the first 30 min of intensive-care admission and in-hospital death in contemporary acute myocardial infarction (AMI), after adjustment for modern reperfusion, pharmacotherapy, and haemodynamic variables.

methodsWe extracted 1,510 adults with a primary International Classification of Diseases, Ninth Revision (ICD-9) diagnosis of AMI (410.xx) from MIMIC-III (2008-2012). HR was defined as the mean of the first three electrocardiographic readings obtained within 30 min of ICU triage, before administration of rate-modifying drugs. We modelled HR both as clinically meaningful categories (< 60, 60-99, ≥ 100 bpm) and as a continuous exposure using restricted cubic splines (RCS). Multivariable logistic regression adjusted for age, sex, Killip class, systolic blood pressure, coronary revascularisation, β-blocker use, atrial fibrillation/flutter, hypertension, diabetes, chronic obstructive pulmonary disease, serum creatinine, haemoglobin, white blood cell count, sodium, potassium, glucose, platelet count and anion gap. Pre-specified subgroup analyses compared ST-elevation MI (STEMI) with non-ST-elevation ACS (NSTE-ACS).

resultsMean age was 66.7 ± 13.9 years; 33.6% were women; STEMI accounted for 42%. Overall in-hospital mortality was 10.9%. HR ≥ 100 bpm (23% of patients) was associated with higher death risk (adjusted OR 2.45, 95% CI 1.56-3.85) versus 60-99 bpm. Bradycardia < 60 bpm (15%) was also associated with excess risk (adjusted OR 1.58, 95% CI 1.02-2.45), yielding a U-shaped RCS curve (non-linearity p = 0.01). The HR-mortality gradient was steeper in STEMI than in NSTE-ACS (interaction p = 0.04). Findings were robust after including the 46 patients who died within 24 h of admission.

conclusionAdmission HR exhibits a U-shaped, independent relation with early mortality in modern AMI care; values outside 60-99 bpm identify high-risk patients despite urgent reperfusion and optimal medical therapy.

Indexed as

Heart RateHospital MortalityMyocardial InfarctionNon-ST Elevated Myocardial InfarctionPatient AdmissionST Elevation Myocardial InfarctionAgedElectrocardiographyFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesRisk AssessmentAcute myocardial infarctionHeart rateIn-hospital mortalityRestricted cubic splineRisk stratification

Identifiers

PMID40615954
PMCPMC12232030

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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.