Evidence map›Paper›PMID 41526932›Full record

Observational studyBMC health services research2026

Incident and predictors of 30-day mortality in critically ill patients after admission to the emergency department in the central region of Thailand: a prospective observational study.

Nantiya Sangsongrit, Ketsarin Utriyaprasit, Thitipong Tankumpuan, Pairoj Khruekarnchana

Abstract readObservational Study
In one paragraph

Observational study in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Nantiya SangsongritDoctor of Nursing Science (Candidate), Faculty of Nursing, Mahidol University, Bangkok, Thailand.
Ketsarin UtriyaprasitDepartment of Surgical Nursing, Faculty of Nursing, Mahidol University, Bangkok, Thailand. ketsarin.utr@mahidol.ac.th.
Thitipong TankumpuanDepartment of Surgical Nursing, Faculty of Nursing, Mahidol University, Bangkok, Thailand.
Pairoj KhruekarnchanaDepartment of Emergency Medicine, Rajavithi Hospital, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally, there is an increasing number of critically ill patients being treated in Emergency Departments (EDs), resulting in poor quality of care and a high mortality rate. This study investigates the incidence of mortality and independent predictors of 30-day mortality in critically ill patients after admission to the ED in the central region of Thailand.

methodsA prospective observational study was conducted of non-trauma critically ill patients, and followed their outcomes of 30-day mortality after admission to the ED. The Kaplan-Meier estimated survival probability and Cox proportional hazards model analyzed and investigated risk factors associated with 30-day mortality.

resultsA total of 442 patients were included. The 30-day mortality rate was 11.1%, with an incidence rate of 4.0 per 1,000 person-days (95% CI 2.93–5.24). Independent predictors of mortality were altered consciousness (aHR 3.25; 95% CI 1.64–7.15), Emergency Severity Index (ESI) level 1 (aHR 2.38; 95% CI 1.21–4.68), sepsis or septic shock (aHR 2.60; 95% CI 1.07–3.99), National Early Warning Score (NEWS) ≥ 5 at ED discharge (aHR 2.03; 95% CI 1.02–4.04), and higher Charlson Comorbidity Index (CCI) scores (aHR 1.38; 95% CI 1.17–1.64). Inter-hospital transfer demonstrated the strongest association with mortality (aHR 4.70; 95% CI 2.35–9.41). These findings provide region-specific incidence estimates and quantify both patient- and healthcare system-level risks, thereby addressing a critical evidence gap in emergency care in central Thailand.

conclusionsThis study has identified key predictors of 30-day mortality among critically ill patients following ED admission and provides region-specific evidence from central Thailand, where data remain limited. The strong association between inter-hospital transfer and mortality highlights a previously underrecognized weakness in regional referral pathways. Furthermore, the prognostic value of NEWS at ED discharge offers practical utility for early risk stratification in ED settings. These context-specific insights support ongoing efforts to enhance early risk identification and strengthen referral processes to reduce preventable mortality.

Indexed as

Critical IllnessEmergency Service, HospitalHospital MortalityAdultAgedFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRisk FactorsThailandCritically ill patientsEmergency departmentMortalityPredictorThailand

Identifiers

PMID41526932
PMCPMC12888332

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.