Predicting 7-day mortality in COVID-19 pneumonia: performance of NEWS2, qSOFA, and CRB-65 and development of the CCP-7 prediction scores

CCP-7 is a simple and context-appropriate tool for predicting 7-day mortality in patients with COVID-19 pneumonia. Although it showed numerically higher discrimination than other scores, the differences were not statistically significant. Its reliance on routine ED parameters makes it particularly suited for rapid risk stratification in low-resource settings, but external validation is essential.

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Publication Details

Journal
IJID Regions
Published
2025-10-25
DOI
https://doi.org/10.1016/j.ijregi.2025.100792
Primary Topic
COVID-19 Clinical Research Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting 7-day mortality in COVID-19 pneumonia: performance of NEWS2, qSOFA, and CRB-65 and development of the CCP-7 prediction scores

Wachira Wongtanasarasin, Borwon Wittayachamnankul, Panika Praputpittaya, Areeya Phunsupruk et al.
IJID Regions
COVID-19 Clinical Research Studies
article

Predicting 7-day mortality in COVID-19 pneumonia: performance of NEWS2, qSOFA, and CRB-65 and development of the CCP-7 prediction scores

Wachira Wongtanasarasin, Borwon Wittayachamnankul, Panika Praputpittaya, Areeya Phunsupruk, Piyapat Rattanasuwan
article en

Abstract

CCP-7 is a simple and context-appropriate tool for predicting 7-day mortality in patients with COVID-19 pneumonia. Although it showed numerically higher discrimination than other scores, the differences were not statistically significant. Its reliance on routine ED parameters makes it particularly suited for rapid risk stratification in low-resource settings, but external validation is essential.

IJID RegionsVol. 17
Chiang Mai University (TH)
Openalex Percentile: Top 64%
COVID-19 Clinical Research Studies
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