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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.
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http://dx.doi.org/10.1038/s41598-025-13131-y | DOI Listing |
Int J Cancer
September 2025
Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Obesity has been associated with non-Hodgkin lymphoma (NHL), but the evidence is inconclusive. We examined the association between genetically determined adiposity and four common NHL subtypes: diffuse large B-cell lymphoma (DLBCL), follicular lymphoma, chronic lymphocytic leukemia, and marginal zone lymphoma, using eight genome-wide association studies of European ancestry (N = 10,629 cases, 9505 controls) and constructing polygenic scores for body mass index (BMI), waist-to-hip ratio (WHR), and waist-to-hip ratio adjusted for BMI (WHRadjBMI). Higher genetically determined BMI was associated with an increased risk of DLBCL [odds ratio (OR) per standard deviation (SD) = 1.
View Article and Find Full Text PDFSci Rep
July 2025
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.
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.
View Article and Find Full Text PDFNAR Genom Bioinform
September 2025
Department of Mathematics and Computer Science, Freie Universität Berlin, 14195 Berlin, Germany.
The fast growth of public genomic sequence repositories greatly contributes to the success of metagenomics. However, they are growing at a faster pace than the computational resources to use them. This challenges current methods, which struggle to take full advantage of massive and fast data generation.
View Article and Find Full Text PDFPediatr Pulmonol
July 2025
Chongqing Key Laboratory of Child Rare Disease in Infection and Immunity, Chongqing, China.
Background: Pneumonia remains a leading cause of mortality among children under 5 years of age. This study aimed to compare existing prognostic scoring systems and identify the most effective tool for assessing outcomes in children with community-acquired pneumonia (CAP).
Methods: The Predisposition, Insult, Response, and Organ Dysfunction score for CAP (PIRO-CAP) was modified to create the Ch-online PIRO score based on a comprehensive cohort study.
Diabetes Obes Metab
September 2025
Department of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, Pisa, Italy.
Aims: Chronic kidney disease (CKD) is a prevalent and serious complication of type 2 diabetes (T2D). This study aims to evaluate kidney outcomes in a real-world cohort of patients with T2D and CKD who received SGLT2 inhibitors (SGLT2i) or other glucose-lowering medications (GLM).
Materials And Methods: This retrospective, multicentre study analysed data from patients aged 18-80 years with T2D and CKD, who initiated an SGLT2i or other GLM between 2015 and 2020.