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Comprehensive Sepsis Risk Prediction in Leukemia Using a Random Forest Model and Restricted Cubic Spline Analysis.
J Inflamm Res
January 2025
Department of Hematology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, Henan Province, People's Republic of China.
Background: Sepsis is a severe complication in leukemia patients, contributing to high mortality rates. Identifying early predictors of sepsis is crucial for timely intervention. This study aimed to develop and validate a predictive model for sepsis risk in leukemia patients using machine learning techniques.
View Article and Find Full Text PDFThe efficacy of sequentially comprehensive treatment based on surgery in the treatment of keloids: a retrospective study.
Front Med (Lausanne)
January 2025
Department of Burn and Plastic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Purpose: The objective of this study is to investigate the clinical efficacy of sequentially comprehensive treatment based on surgery and to furnish clinical evidence for the management of keloids.
Patients And Methods: The patients with keloids were retrospectively analyzed who underwent surgery-based sequentially comprehensive treatment at the Plastic Surgery Department of Shandong Provincial Hospital from January 2018 to August 2021. The recurrence rate and incidence of adverse reactions were explored for all the included patients.
Surgical interventions for simple phakic fovea-splitting rhegmatogenous retinal detachment: a comparative study of scleral buckling and pars plana vitrectomy.
Front Med (Lausanne)
January 2025
National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
Aims: To compare the efficiency of scleral buckling (SB) and pars plana vitrectomy (PPV) with or without SB in patients with primary simple phakic fovea-splitting rhegmatogenous retinal detachment (RRD).
Methods: A retrospective case-control study included 101 patients aged <55 years diagnosed with phakic fovea-splitting RRD. The primary outcome was functional success, defined as achieving a postoperative logarithm of the minimum angle of resolution best-corrected visual acuity of 0.
Developing and validating a machine learning model to predict multidrug-resistant -related septic shock.
Front Immunol
January 2025
Department of Medical Laboratory, The Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China.
Background: Multidrug-resistant Klebsiella pneumoniae (MDR-KP) infections pose a significant global healthcare challenge, particularly due to the high mortality risk associated with septic shock. This study aimed to develop and validate a machine learning-based model to predict the risk of MDR-KP-associated septic shock, enabling early risk stratification and targeted interventions.
Methods: A retrospective analysis was conducted on 1,385 patients with MDR-KP infections admitted between January 2019 and June 2024.
Prognosis prediction of α-FAtE score for locoregional immunotherapy in hepatocellular carcinoma.
Front Immunol
January 2025
Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Purpose: The α-FAtE score, composed of alpha-fetoprotein, alkaline phosphatase, and eosinophil levels, has been reported as a predictor of prognosis in hepatocellular carcinoma (HCC) patients treated with atezolizumab plus bevacizumab. This study aimed to investigate the predictive ability of α-FAtE score for the efficacy and safety of locoregional immunotherapy as the treatment of HCC patients.
Methods And Patients: We conducted a retrospective study of 446 HCC patients at Sun Yat-sen University Cancer Center from January 1 2019 to January 1 2023.
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