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Ir J Med Sci ; 193(4): 2051-2059, 2024 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-38483773

RESUMEN

BACKGROUND: Triage refers to classifying and prioritizing patients based on the severity of their injuries or illnesses in the health care setting. The increasing number of elderly patients seeking care in emergency departments (EDs) highlights the need for special attention to the unique needs of this patient population. AIM: We aimed to compare the qSOFA, Emergency Severity Index (ESI), National Early Warning Score (NEWS), and Manchester Triage System (MTS) scores to assist ED physicians in assessing the severity of elderly patients' clinical conditions and triaging them appropriately. METHODS: This cross-sectional study included 1066 patients aged 65 and over who presented to our ED as outpatients or by ambulance between September 1, 2022, and August 30, 2023. Scoring systems at the time of admission to the ED were recorded separately for outpatients and arriving by ambulance. RESULTS: According to the qSOFA, patients with a score of 0 were 0.976 times less likely to arrive by ambulance compared to those scoring 1 and above (OR = 0.976, p = .934). According to the NEWS, patients in the moderate-risk category were 0.447 times less likely to arrive by ambulance (OR = 0.447, p = .054). According to the ESI score, patients requiring high resource use with normal vital signs were 146.758 times more likely to arrive by ambulance (OR = 146.758, p = .001). CONCLUSION: Significant differences in patients' methods of presentation to the ED were observed based on the MTS, qSOFA, NEWS, and ESI scores.


Asunto(s)
Puntuación de Alerta Temprana , Servicio de Urgencia en Hospital , Triaje , Humanos , Triaje/métodos , Triaje/estadística & datos numéricos , Anciano , Estudios Transversales , Femenino , Masculino , Servicio de Urgencia en Hospital/estadística & datos numéricos , Anciano de 80 o más Años , Pronóstico , Índice de Severidad de la Enfermedad , Ambulancias/estadística & datos numéricos , Evaluación Geriátrica/métodos , Evaluación Geriátrica/estadística & datos numéricos
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