Evidence map›Paper›PMID 39725413›Full record

ArticleBMJ open2024

Efficacy in predicting mortality of patients with heart failure using heart rate before intensive care unit discharge: a retrospective cohort study from MIMIC-IV Database.

Chia-Ying Hsiao, Min-I Su, Yu-Cheng Chang, Ying-Hsiang Lee, Po-Lin Lin, Wei-Ru Chiou

Abstract read
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Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

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4 · The record

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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

6 authors.

Chia-Ying HsiaoDepartment of Internal Medicine, Division of Nephrology, Taitung MacKay Memorial Hospital, Taitung, Taiwan.
Min-I SuDepartment of Medicine, MacKay Medical College, New Taipei, Taiwan.
Yu-Cheng ChangDepartment of Bioinformatics and Medical Engineering, Asia University, Taichung, Taiwan.
Ying-Hsiang LeeDepartment of Medicine, MacKay Medical College, New Taipei, Taiwan.
Po-Lin LinDepartment of Internal Medicine, Division of Cardiology, Hsinchu MacKay Memorial Hospital, Hsinchu, Taiwan.
Wei-Ru ChiouDepartment of Medicine, MacKay Medical College, New Taipei, Taiwan clementchiou@gmail.com.ORCID http://orcid.org/0000-0003-1133-5714

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHeart rate serves as a critical prognostic factor in heart failure (HF) patients. We hypothesise that elevated heart rate in critically ill HF patients on discharge from the intensive care unit (ICU) could be linked to adverse outcomes.

designA single-centre retrospective cohort study.

settingThis study used data collected between 2008 and 2019 from the Medical Information Mart for Intensive Care IV (V.2.0) Database.

participantsFrom the 76 943 ICU stays, we enrolled 2365 patients in this study. PRIMARY AND SECONDARY OUTCOME MEASURES: We observed correlations between in-hospital mortality and ICU discharge heart rate of 83.56±15.81 beats per minute (bpm) (survivors) vs 93.84±17.28 bpm (non-survivors, p<0.001). Total mortality showed similar trends, with 83.67±15.36 bpm (survivors) vs 85.23±17.25 bpm (non-survivors, p=0.027), as did ICU readmissions at 83.55±15.77 bpm (non-readmitted) vs 88.64±17.49 bpm (readmitted, p<0.001).

resultsGiven multivariate analysis, the ICU discharge heart rate strongly predicted in-hospital mortality (HR 1.032 (95% CI 1.022 to 1.041), p<0.001), total mortality (HR 1.008 (95% CI 1.004 to 1.013), p<0.001) and ICU readmission (HR 1.018 (95% CI 1.010 to 1.025), p<0.001). Patients with an ICU discharge heart rate>90 bpm demonstrated significantly higher in-hospital mortality (HR 2.639 (95% CI 1.898 to 3.669), p<0.001), total mortality (HR 1.342 (95% CI 1.163 to 1.550), p<0.001) and ICU readmission rates (HR 1.781 (95% CI 1.413 to 2.243), p<0.001).

conclusionThe findings suggest that HF patients with an elevated heart rate (>90 bpm) at ICU discharge are more likely to experience increased in-hospital mortality, total mortality and ICU readmissions, indicating potential negative outcomes.

Indexed as

Heart FailureHeart RateHospital MortalityIntensive Care UnitsPatient DischargePatient ReadmissionAgedAged, 80 and overCritical IllnessDatabases, FactualFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesAdult intensive & critical careHeart failureRetrospective StudiesRisk management

Identifiers

PMID39725413
PMCPMC11683963

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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.