Evidence map›Paper›PMID 39994239›Full record

ArticleScientific reports2025

Prognostic factors and development of the practical prediction score for 7-day mortality of palliative patients in the emergency department.

Torntarn Charascharungkiat, Welawat Tienpratarn, Chaiyaporn Yuksen, Chalermpon Bumrungsiri, Natthakorn Pongsettakul, Thidathit Prachanukool

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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. Not yet cited 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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Torntarn CharascharungkiatDepartment of Emergency Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Rama VI Road, Thung Phaya Thai, Ratchathewi, Bangkok, 10400, Thailand.ORCID http://orcid.org/0009-0001-0542-7279
Welawat TienpratarnDepartment of Emergency Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Rama VI Road, Thung Phaya Thai, Ratchathewi, Bangkok, 10400, Thailand. pedz_welawat@hotmail.com.ORCID http://orcid.org/0000-0001-6577-5921
Chaiyaporn YuksenDepartment of Emergency Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Rama VI Road, Thung Phaya Thai, Ratchathewi, Bangkok, 10400, Thailand.ORCID http://orcid.org/0000-0002-4890-7176
Chalermpon BumrungsiriDepartment of Family Medicine, Buddhasothorn Hospital, 174 Maruphong Road, Namueang, Mueang Chachoengsao, Chachoengsao, 24000, Thailand.ORCID http://orcid.org/0009-0001-7806-0551
Natthakorn PongsettakulDepartment of Family Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Rama VI Road, Thung Phaya Thai, Ratchathewi, Bangkok, 10400, Thailand.ORCID http://orcid.org/0009-0008-8273-541X
Thidathit PrachanukoolDepartment of Emergency Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Rama VI Road, Thung Phaya Thai, Ratchathewi, Bangkok, 10400, Thailand.ORCID http://orcid.org/0000-0001-5496-2713

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background End-of-life (EOL) care aims to facilitate good death and fulfill the patient's final desires. Despite the known benefits of palliative consultations, emergency physicians encounter challenges in decision-making due to limited palliative resources. Previous studies primarily focus on non-emergency settings; thus, we aimed to develop a practical prediction score for 7-day mortality for palliative patients in the emergency department (ED). Methods This retrospective cohort study, conducted at a tertiary-level university hospital in Thailand between June 2022 and May 2023, evaluated adult palliative patients who declined life-sustaining treatments. Variables associated with 7-day mortality were analyzed using univariable and multivariable logistic regression. Results Of 499 ED visits, 152 patients (30.46%) died within seven days. Six predictors were identified: solid malignancy, respiratory with mandibular movement, systolic blood pressure < 100 mmHg, lymphopenia, thrombocytopenia, and a blood urea nitrogen to creatinine ratio > 20. These factors were used to develop the Ramathibodi End-of-life (RAMA-EOL) score, demonstrating an AuROC curve of 80.46% (95% CI: 76.15-84.77). Patients with a score ≥ 3 had a positive likelihood ratio of 2.92 (95% CI: 2.38-3.57) for 7-day mortality. Conclusion The RAMA-EOL score reliably predicts 7-day mortality in palliative ED patients, facilitating timely palliative care interventions for high-risk individuals.

Indexed as

Emergency Service, HospitalPalliative CareTerminal CareAdultAgedAged, 80 and overFemaleHospital MortalityHumansMaleMiddle AgedPrognosisRetrospective StudiesThailandEmergency departmentEnd-of-lifeMortalityPalliativePrediction score

Identifiers

PMID39994239
PMCPMC11850792

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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.