Evidence map›Paper›PMID 40379305›Full record

ArticleBMJ open2025

Incidence, causes and prognostic outcomes of acute coma: a nationwide population-based retrospective cohort study in Taiwan.

Chih-Yuan Lin, Chih-Ching Liu, Jen-Feng Liang, Mingche Tsai, Yue-Chune Lee, Meng-Ling Chang

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Chih-Yuan LinDepartment of Neurology, Taipei City Hospital, Taipei, Taiwan.ORCID http://orcid.org/0000-0002-2321-6053
Chih-Ching LiuDepartment of Healthcare Administration, National Taipei University of Nursing and Health Sciences Department of Health Care Management, Taipei, Taiwan.ORCID http://orcid.org/0000-0001-9644-3129
Jen-Feng LiangDepartment of Neurology, Taipei Veterans General Hospital, Taipei, Taiwan.ORCID http://orcid.org/0000-0002-6425-4806
Mingche TsaiInstitute of Health and Welfare Policy, College of Medicine, National Yang Ming Chiao Tung University, Yangming Campus, Taipei, Taiwan.ORCID http://orcid.org/0009-0000-8994-9586
Yue-Chune LeeInstitute of Health and Welfare Policy, College of Medicine, National Yang Ming Chiao Tung University, Yangming Campus, Taipei, Taiwan.ORCID http://orcid.org/0000-0002-4116-6563
Meng-Ling ChangDepartment of Nursing, Taipei City Hospital Yangming Branch, Taipei, Taiwan B1777@tpech.gov.tw.ORCID http://orcid.org/0009-0007-8096-6516

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIdentifying the underlying cause of acute coma is crucial for improving outcomes in this time-sensitive medical emergency. This study aimed to explore the clinical characteristics, incidence, causes and outcomes of acute coma.

designA nationwide population-based retrospective cohort study.

participantsAmong 99 217 322 emergency department (ED) visits between 2000 and 2017, 419 480 acute coma events were identified. After excluding visits with only acute coma diagnosis codes lacking detailed information, individuals without socio-demographic data or those with prior nursing home residence or disability, a total of 205 747 first-ever acute coma cases constituted the final research cohort. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcomes included the acute coma event rate, incidence rates stratified by age and underlying causes categorised into 23 clinical groups by the Agency for Healthcare Research and Quality Clinical Classification Software (CCS). Secondary outcomes assessed were reversible coma, hospitalisation rates, 30-day mortality, 1-year medical utilisation and long-term functional outcomes. Cox regression models identified factors influencing long-term mortality.

resultsThe overall event rate for acute coma was 4.23 per 1000 ED visits, and the incidence rate was 0.93 per 1000 person-years. The median age of cases was 58.27 years (SD 23.04), with a male predominance (58.90%). Infection and central nervous system (CNS)-related causes were most prevalent. Of these cases, 45.49% experienced reversible coma, 41.66% required hospitalisation and the 30-day mortality group accounted for 12.85%. CNS and drug-related causes contributed to increased 30-day mortality, while psychiatric, alcohol, women's health and perinatal care, and seizure are causes linked to reversible coma. Patients frequently required intensive care (26.54%), life-sustaining treatments (41.09%) or experienced disability (6.57%) within one year. Generalised estimating equations revealed significantly lower odds of reversible coma for CNS (adjusted OR (aOR), 0.68; 95% CI: 0.62 to 0.74; p<0.0001) and drug-related causes (aOR, 0.72; 95% CI: 0.65 to 0.81; p<0.0001), indicating higher mortality risk. Cox regression analysis showed elevated long-term mortality risks associated with drug-related causes (adjusted HR (aHR), 1.30; 95% CI: 1.20 to 1.41; p<0.001), neoplasms (aHR, 1.18; 95% CI: 1.11 to 1.25; p<0.001) and symptoms-related causes (aHR, 1.44; 95% CI: 1.24 to 1.67; p<0.001).

conclusionInfection and CNS disorders were identified as the most common aetiologies of acute coma, with CNS and drug-related causes significantly associated with increased short-term and long-term mortality. This study demonstrates the efficacy of using CCS groups for aggregating International Classification of Diseases codes in acute coma research, providing critical insights for enhancing clinical management and outcomes.

Indexed as

ComaAcute DiseaseAdolescentAdultAgedAged, 80 and overEmergency Service, HospitalFemaleHospitalizationHumansIncidenceMaleMiddle AgedPrognosisRetrospective StudiesTaiwanClinical Decision-MakingEmergency DepartmentsEPIDEMIOLOGYINTENSIVE & CRITICAL CAREMortalityNEUROLOGY

Identifiers

PMID40379305
PMCPMC12083258

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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.