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The China mortality prediction model in trauma, based on the International Classification of Diseases, Tenth Revision, Clinical Modification lexicon (CMPMIT-ICD-10), is a novel model for predicting outcomes in patients who experienced trauma. This model has not yet been validated using data acquired from patients at other trauma centers in China. This retrospective study used data retrieved from the Peking University People's Hospital discharge database and included all patients admitted for trauma between 2012 and 2022 for model validation. Model performance was categorized into discrimination and calibration. In total, 23,299 patients were included in this study, with an overall mortality rate of 1.2%. CMPMIT-ICD-10 showed good discrimination and calibration, with an area under the curve of 0.84 (95% confidence interval: 0.82-0.87) and a Brier score of 0.02. The performance of the CMPMIT-ICD-10 during validation was satisfactory, and the application of the model will be scaled up in future studies.
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http://dx.doi.org/10.1097/MD.0000000000038537 | DOI Listing |
J Environ Pathol Toxicol Oncol
January 2025
Department of Pharmacy, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei 442000, P.R. China.
Despite advancements in systemic therapy, the mortality rate for patients with metastatic melanoma remains around 70%, underscoring the imperative for alternative treatment strategies. Through the establishment of a chemoresistant melanoma model and a subsequent drug investigation, we have identified pacritinib, a medication designed for treating myelofibrosis and severe thrombocytopenia, as a potential candidate to overcome resistance to melanoma therapy. Our research reveals that pacritinib, administered at clinically achievable concentrations, effectively targets dacarbazine-resistant melanoma cells by suppressing IRAK1 rather than JAK2.
View Article and Find Full Text PDFBackground: Acute kidney injury (AKI) in patients with liver cirrhosis represents a significant clinical challenge with high mortality rates. This study aimed to develop and validate a machine learning-based prediction model for 28-day mortality in AKI patients with liver cirrhosis using the MIMIC-IV database.
Methods: This retrospective study analyzed data from 4,168 AKI patients, including 601 with concurrent liver cirrhosis, from the MIMIC-IV database.
J Infect Dev Ctries
August 2025
Clinical laboratory, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou 350001, China.
Introduction: Community-acquired pneumonia (CAP) is a common respiratory disease in children and a significant factor in child mortality.
Methodology: We aimed to investigate metagenomic next-generation sequencing (mNGS) technology to explore pathogens and epidemiological characteristics of pediatric CAP. We retrospectively analyzed mNGS detection and microbiological culture results of bronchoalveolar lavage fluid (BALF) and sputum samples from children with CAP.
PLoS One
September 2025
Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China.
Background: Head and neck cancer (HNC) is a significant global health concern with rising incidence and mortality in certain regions. This study aimed to evaluate the global burden and temporal trends of HNC from 1990 to 2021 and to project its future burden through 2030.
Methods: Data were obtained from the Global Burden of Disease (GBD) 2021 study.
Clin Rheumatol
September 2025
Department of Dermatology, the First Affiliated Hospital, Army Medical University, No. 29 Gaotanyan Street, Shapingba District, Chongqing, China.
Background: Plasmacytoid dendritic cells (pDCs) are a specialized subset of dendritic cells known for their ability to produce type I interferon (IFN I), contributing to antiviral defense and the pathogenesis of autoimmune diseases like systemic lupus erythematosus (SLE). In SLE patients, pDCs are excessively activated, leading to overproduction of IFN-α, which plays a critical role in disease progression. However, no bibliometric analysis has been conducted on the relationship between pDCs and SLE.
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