Evaluation of patients with decreased general condition and comparing HOTEL, WPS, and REMS for mortality prediction

The emergency department (ED) plays a crucial role in evaluating patients with decreased general condition (DGC). Prompt diagnosis and precise risk stratification enhances clinical care outcomes. This study aimed to reveal which scoring system is better for predicting mortality in patients with DGC. This single-center prospective study was conducted between 1 March 2021 and 1 June 2021 in a tertiary university hospital's ED. All patients presented with DGC were included. The scores assessed upon ED admission for patients include the Hypotension, Oxygen saturation, low Temperature, ECG changes, and Loss of independence, abbreviated as HOTEL score, Rapid Emergency Medicine Score (REMS), and the Worthing Physiological Scoring (WPS). The study aimed to compare the scoring systems to identify which is the best mortality predictor. Independent risk factors for 30-day mortality were analyzed using binary logistic regression and ROC curves to assess the effectiveness of HOTEL, REMS, and WPS scores in predicting mortality. The study was conducted with 137 DGC patients. The median age of patients presented to the ED with DGC was 77 (66.5-87), and 50.4% were male. 52.6% of patients died within one month. Analysis of mortality risk factors revealed that gender, age, day of admission, visit type, home oxygen, urinary catheter use, and speech status were not independent risk factors. For one-month mortality prediction, AUCs were: HOTEL 0.644 (cut-off 1), REMS 0.635 (cut-off 8), WPS 0.547 (cut-off 5). For mechanical ventilation: HOTEL 0.689 (10), REMS 0.790 (10), WPS 0.777 (4). For ICU admission: HOTEL 0.697 (2), REMS 0.770 (9), WPS 0.728 (4). Both the HOTEL and REMS scoring systems have moderate prognostic value in predicting mortality in patients with a DGC. The REMS, and WPS scores are also more helpful in determining the need for intensive care unit admission and mechanical ventilation.

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Journal
Scientific Reports
Published
2025-04-08
DOI
https://doi.org/10.1038/s41598-025-97386-5
Citations
1
Primary Topic
Machine Learning in Healthcare
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article
Field-Weighted Citation Impact
2.48
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article

Evaluation of patients with decreased general condition and comparing HOTEL, WPS, and REMS for mortality prediction

Hasan Sultanoğlu, Mehmet Cihat Demir, Kudret Selki, Emine Aykol
1 citations
Scientific Reports
Machine Learning in Healthcare
2.48
article

Evaluation of patients with decreased general condition and comparing HOTEL, WPS, and REMS for mortality prediction

Hasan Sultanoğlu, Mehmet Cihat Demir, Kudret Selki, Emine Aykol
article en
1 citations

Abstract

The emergency department (ED) plays a crucial role in evaluating patients with decreased general condition (DGC). Prompt diagnosis and precise risk stratification enhances clinical care outcomes. This study aimed to reveal which scoring system is better for predicting mortality in patients with DGC. This single-center prospective study was conducted between 1 March 2021 and 1 June 2021 in a tertiary university hospital's ED. All patients presented with DGC were included. The scores assessed upon ED admission for patients include the Hypotension, Oxygen saturation, low Temperature, ECG changes, and Loss of independence, abbreviated as HOTEL score, Rapid Emergency Medicine Score (REMS), and the Worthing Physiological Scoring (WPS). The study aimed to compare the scoring systems to identify which is the best mortality predictor. Independent risk factors for 30-day mortality were analyzed using binary logistic regression and ROC curves to assess the effectiveness of HOTEL, REMS, and WPS scores in predicting mortality. The study was conducted with 137 DGC patients. The median age of patients presented to the ED with DGC was 77 (66.5-87), and 50.4% were male. 52.6% of patients died within one month. Analysis of mortality risk factors revealed that gender, age, day of admission, visit type, home oxygen, urinary catheter use, and speech status were not independent risk factors. For one-month mortality prediction, AUCs were: HOTEL 0.644 (cut-off 1), REMS 0.635 (cut-off 8), WPS 0.547 (cut-off 5). For mechanical ventilation: HOTEL 0.689 (10), REMS 0.790 (10), WPS 0.777 (4). For ICU admission: HOTEL 0.697 (2), REMS 0.770 (9), WPS 0.728 (4). Both the HOTEL and REMS scoring systems have moderate prognostic value in predicting mortality in patients with a DGC. The REMS, and WPS scores are also more helpful in determining the need for intensive care unit admission and mechanical ventilation.

Scientific ReportsVol. 15(1)
Karabük University (TR), Düzce Üniversitesi (TR)
Good health and well-being
Openalex Percentile: Top 11%
Machine Learning in Healthcare
2.48
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