Early warning scores and peripheral perfusion index: A Comparative assessment for 30-day mortality in critical patients in emergency departments

Early identification of high-risk patients in emergency departments (EDs) is crucial. This study compares the prognostic value of the National Early Warning Score-2 (NEWS-2), Modified Early Warning Score (MEWS), and Peripheral Perfusion Index (PPI). To compare the performance of NEWS-2, MEWS, and PPI in predicting 30-day mortality among critically ill patients admitted to the intensive care unit. A prospective, observational study (June–October 2024) included 306 critically ill patients. NEWS-2, MEWS, and PPI were recorded upon presentation. The primary outcome was 30-day mortality. ROC analysis was used to determine the area under the curve (AUC), sensitivity, and specificity. The 30-day mortality rate was 29.7% (n = 91). Significant differences were found in all scores between survivors and non-survivors (p < .001). NEWS-2 demonstrated the highest discrimination (AUC 0.666; 95% CI 0.598–0.733), followed by MEWS (AUC 0.643) and PPI (AUC 0.633). While NEWS-2 (cutoff ≥ 6) provided the highest sensitivity at 71.4%, the PPI (cutoff ≤ 1.15) exhibited the highest specificity at 78.6%. NEWS-2 remains the strongest single predictor for 30-day mortality. However, the PPI offers high specificity and reflects microcirculatory impairment, making it a valuable complementary tool alongside established early warning scores rather than a replacement.

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Journal
Irish Journal of Medical Science (1971 -)
Published
2026-04-10
DOI
https://doi.org/10.1007/s11845-026-04358-3
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
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article

Early warning scores and peripheral perfusion index: A Comparative assessment for 30-day mortality in critical patients in emergency departments

Hüseyin Avni DEMİR, Zahit Donmez, Eyyüp Sabri ŞEYHANLI, Masum Şimşek et al.
Irish Journal of Medical Science (1971 -)
Sepsis Diagnosis and Treatment
article

Early warning scores and peripheral perfusion index: A Comparative assessment for 30-day mortality in critical patients in emergency departments

Hüseyin Avni DEMİR, Zahit Donmez, Eyyüp Sabri ŞEYHANLI, Masum Şimşek, Abdul Samed Rayan, Muhammed Tabası, Ahmet Ali Çelik, Ahmet Celal Ozsoy
article en

Abstract

Early identification of high-risk patients in emergency departments (EDs) is crucial. This study compares the prognostic value of the National Early Warning Score-2 (NEWS-2), Modified Early Warning Score (MEWS), and Peripheral Perfusion Index (PPI). To compare the performance of NEWS-2, MEWS, and PPI in predicting 30-day mortality among critically ill patients admitted to the intensive care unit. A prospective, observational study (June–October 2024) included 306 critically ill patients. NEWS-2, MEWS, and PPI were recorded upon presentation. The primary outcome was 30-day mortality. ROC analysis was used to determine the area under the curve (AUC), sensitivity, and specificity. The 30-day mortality rate was 29.7% (n = 91). Significant differences were found in all scores between survivors and non-survivors (p < .001). NEWS-2 demonstrated the highest discrimination (AUC 0.666; 95% CI 0.598–0.733), followed by MEWS (AUC 0.643) and PPI (AUC 0.633). While NEWS-2 (cutoff ≥ 6) provided the highest sensitivity at 71.4%, the PPI (cutoff ≤ 1.15) exhibited the highest specificity at 78.6%. NEWS-2 remains the strongest single predictor for 30-day mortality. However, the PPI offers high specificity and reflects microcirculatory impairment, making it a valuable complementary tool alongside established early warning scores rather than a replacement.

Irish Journal of Medical Science (1971 -)
University of Health Science (KH), Şanlıurfa Mehmet Akif İnan Eğitim ve Araştırma Hastanesi (TR), Sağlık Bilimleri Üniversitesi (TR)
Openalex Percentile: Top 15%
Sepsis Diagnosis and Treatment
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Early warning scores and peripheral perfusion index: A Comparative assessment for 30-day mortality in critical patients in emergency departments — Hüseyin Avni DEMİR, Zahit Donmez, et al. · Irish Journal of Medical Science (1971 -) (2026) | TGRS Research Map | TGRS