Evidence map›Paper›PMID 40731068›Full record

ArticleScientific reports2025

Evaluating the predictive performance of PIRO score against six clinical prediction scores for COVID-19 outcomes in the emergency department.

Nan Geng, Zhipeng Wu, Chunlian Lai, Yingying Cui, Yixin Miao, Mengyun Li, Bojun Wang, Hongbo Shi, Yingmin Ma, Bo Liu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Nan Geng *Department of Emergency Medicine, Beijing Youan Hospital, Capital Medical University, No. 8, Xi Tou Tiao, Youanmenwai Street, Fengtai District, Beijing, 100069, People's Republic of China.
Zhipeng Wu *Department of Respiratory and Critical Care Medicine, Beijing Youan Hospital, Capital Medical University, No. 8, Xi Tou Tiao, Youanmenwai Street, Fengtai District, Beijing, 100069, People's Republic of China.
Chunlian LaiDepartment of Emergency Medicine, Beijing Youan Hospital, Capital Medical University, No. 8, Xi Tou Tiao, Youanmenwai Street, Fengtai District, Beijing, 100069, People's Republic of China.
Yingying CuiDepartment of Emergency Medicine, Beijing Youan Hospital, Capital Medical University, No. 8, Xi Tou Tiao, Youanmenwai Street, Fengtai District, Beijing, 100069, People's Republic of China.
Yixin MiaoDepartment of Emergency Medicine, Beijing Youan Hospital, Capital Medical University, No. 8, Xi Tou Tiao, Youanmenwai Street, Fengtai District, Beijing, 100069, People's Republic of China.
Mengyun LiDepartment of Emergency Medicine, Beijing Youan Hospital, Capital Medical University, No. 8, Xi Tou Tiao, Youanmenwai Street, Fengtai District, Beijing, 100069, People's Republic of China.
Bojun WangObscura Intelligence Lab, Hangzhou Blackbox Intelligence Co., Ltd., Hangzhou, 311258, Zhejiang, People's Republic of China.
Hongbo ShiBeijing Institute of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, People's Republic of China.
Yingmin MaDepartment of Respiratory and Critical Care Medicine, Beijing Youan Hospital, Capital Medical University, No. 8, Xi Tou Tiao, Youanmenwai Street, Fengtai District, Beijing, 100069, People's Republic of China. ma.yingmin@163.com.
Bo LiuDepartment of Emergency Medicine, Beijing Youan Hospital, Capital Medical University, No. 8, Xi Tou Tiao, Youanmenwai Street, Fengtai District, Beijing, 100069, People's Republic of China. Rippleyayy@sina.com.

Funding

Beijing Natural Science Foundation 7232079Beijing Natural Science Foundation M22030Beijing research center for respiratory infectious diseases project BJRID2024-001COVID-19 Special Project of Beijing You'an Hospital 2023-6Middle-aged and Young Talent Incubation Programs (Clinical Research) of Beijing You'an Hospital BJYAYY-YN2022-12Middle-aged and Young Talent Incubation Programs (Clinical Research) of Beijing You'an Hospital BJYAYY-YN2022-13National Key Research and Development Program of China 2022YFC2305002
6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has led to the development of numerous prognostic models for patient assessment. However, the potential utility of the predisposition, insult/infection, response, organ dysfunction (PIRO) score in evaluating COVID-19 severity and outcomes remains unexplored, presenting a gap in current research. A retrospective analysis was conducted on a cohort of 374 individuals diagnosed with COVID-19 who were admitted to the emergency department of Beijing Youan Hospital. Demographic data, treatment regimens, and seven prognostic scoring systems, including PIRO, were evaluated. To evaluate the models' prognostic accuracy for 28-day mortality, area under the receiver operating characteristic (AUROC) analysis was employed. Comparative performance between scoring systems was quantified using the DeLong method for paired ROC curves. Of the 374 patients meeting inclusion criteria, 120 (32.1%) died within 28 day of hospitalization. Significant disparities were observed between survivors and non-survivors regarding age, laboratory parameters, and clinical scores. Analysis of patient distribution and mortality rates across different score ranges revealed a positive correlation between score magnitude and 28-day mortality. The PIRO score demonstrated superior prognostic capability, yielding an AUC of 0.898 (95% CI 0.866-0.929). The quick sequential organ failure assessment (qSOFA) score followed closely (AUC 0.882, 95% CI 0.849-0.914). Both critical illness risk score (COVID-GRAM) and national early warning score 2 (NEWS2) exhibited AUCs exceeding 0.85 (COVID-GRAM 0.854, 95% CI 0.812-0.895; NEWS2: 0.851, 95% CI 0.813-0.889). DeLong test analysis revealed statistically significant differences in AUC between PIRO and confusion, urea, respiration, systolic pressure, age ≥ 65 (CURB-65), pneumonia severity index (PSI), COVID-GRAM, rapid acute physiology score (RAPS), and NEWS2 (all p < 0.05). Analysis revealed the PIRO scoring system as a robust predictor of 28-day mortality among COVID-19 cases presenting to the emergency setting, offering potential refinement of risk stratification and clinical management strategies.

Indexed as

COVID-19Emergency Service, HospitalAdultAgedFemaleHospitalizationHumansMaleMiddle AgedOrgan Dysfunction ScoresPrognosisRetrospective StudiesROC CurveSARS-CoV-2Severity of Illness Index28-day mortalityClinical scoring systemCOVID-19Emergency departmentPIRO score

Identifiers

PMID40731068
PMCPMC12307896

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.