Validation of predictive factors for hospital admission in elderly patients transported by emergency medical services: a retrospective observational study

This is the first study to identify clinical and situational factors associated with hospital admission among older patients receiving home call medical services at home or in the NH who were transported by EMS. Among these patients, hospital admission was associated with suspected infection; cardiovascular, cerebrovascular, and digestive diseases; oxygen therapy in the ED; and reduced consciousness. These findings may help guide triage and decision-making in emergency care for this vulnerable population.

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Publication Details

Journal
BMC Emergency Medicine
Published
2025-12-22
DOI
https://doi.org/10.1186/s12873-025-01414-6
Primary Topic
Emergency and Acute Care Studies
Type
article
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article

Validation of predictive factors for hospital admission in elderly patients transported by emergency medical services: a retrospective observational study

Daisuke Usuda, Tomohisa Nomura, Manabu Sugita, Makoto Suzuki
BMC Emergency Medicine
Emergency and Acute Care Studies
article

Validation of predictive factors for hospital admission in elderly patients transported by emergency medical services: a retrospective observational study

Daisuke Usuda, Tomohisa Nomura, Manabu Sugita, Makoto Suzuki
article en

Abstract

This is the first study to identify clinical and situational factors associated with hospital admission among older patients receiving home call medical services at home or in the NH who were transported by EMS. Among these patients, hospital admission was associated with suspected infection; cardiovascular, cerebrovascular, and digestive diseases; oxygen therapy in the ED; and reduced consciousness. These findings may help guide triage and decision-making in emergency care for this vulnerable population.

BMC Emergency MedicineVol. 25(1)
Juntendo University (JP), Juntendo University Nerima Hospital (JP)
No poverty
Openalex Percentile: Top 27%
Emergency and Acute Care Studies
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