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The aim of this study is to validate the efficacy and reliability of two predictive models for postoperative fever after retrograde intrarenal surgery (RIRS) in pediatric patients A total of 124 children who were treated with RIRS between August 2014 and August 2020 in our center were included. All the predictors were obtained by preoperative routine examinations. Receiver operative curve (ROC) and area under curve (AUC) were showed to compare the predictive power of the two models. One hundred twenty-four children included of 94 boys and 30 girls, with median ages of 2.1 (1.3, 7.0) years and median body mass index of 17.3 (15.6, 20.6) kg/m. The total points of the two nomograms were 81.0 (67.3, 90.3) and 45.5 (20.4, 94.0). Eventually, 21 children (16.9%) suffered from postoperative fever. With the exception of C-reactive protein values (25.0 mg/L 5.0 mg/L, = 0.015), irrigation volumes (800 mL 500 mL, = 0.01), and total points of the two predictive models (Nomogram 1: 88.0 76.0, < 0.001; Nomogram 2: 76.0 39.0, = 0.016), there was no statistical difference detected between the fever and nonfever groups. ROCs showed that Nomogram 1 presented with better predictive accuracy and efficacy with excellent AUC values of 0.805 in comparison with Nomogram 2 (0.805 0.664, = 0.025). We reported a sample of 124 children undergoing RIRS with a final stone-free rate of 87.1%. Twenty-one pediatric patients (16.9%) suffered from postoperative fever. Nomogram 1 presented with better predictive power for postoperative fever after RIRS in pediatric patients.
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http://dx.doi.org/10.1089/end.2020.0905 | DOI Listing |
Knee Surg Relat Res
September 2025
Florida Orthopaedic Institute, Gainesville, FL, 32607, USA.
Background: A clear understanding of minimal clinically important difference (MCID) and substantial clinical benefit (SCB) is essential for effectively implementing patient-reported outcome measurements (PROMs) as a performance measure for total knee arthroplasty (TKA). Since not achieving MCID and SCB may reflect suboptimal surgical benefit, the primary aim of this study was to use machine learning to predict patients who may not achieve the threshold-based outcomes (i.e.
View Article and Find Full Text PDFBMC Nurs
September 2025
Department of Nursing Administration, Faculty of Nursing, Alexandria University, Alexandria, Egypt.
Background: Organizational virtuousness and just culture, which both foster justice, honesty, and trust, have a major impact on positive work environments in the healthcare industry. Strengthening nurses' emotional engagement and vocational commitment requires these components. With an emphasis on the mediating function of just culture, this study attempts to investigate the relationship between organizational virtuousness and nurses' vocational commitment.
View Article and Find Full Text PDFScand J Trauma Resusc Emerg Med
September 2025
Department of Clinical Sciences, Malmö, Section of Surgery, Lund University, Malmö, Sweden.
Background: Antithrombotic treatment might affect bleeding symptoms, identification of bleeding source and treatment for patients with acute gastrointestinal bleeding. This study aims to investigate possible differences in initial bleeding symptoms, identified bleeding site and treatment of patients with or without antithrombotic medication admitted for gastrointestinal bleeding.
Methods: All consecutive adult patients primarily admitted for gastrointestinal bleeding at Skane University Hospital between 2018-01-01 and 2019-06-31, were included in this study.
Geroscience
September 2025
Department of Emergency and Internal Medicine, Skåne University Hospital, Malmö, Sweden.
To evaluate a simplified version of the Clinical Frailty Scale (SCFS) among older adults presenting to the emergency department (ED) with acute dyspnea. In this retrospective single-center cohort study, we included patients from the Acute Dyspnea Study (ADYS) cohort. Severity of illness was assessed using the Medical Emergency Triage and Treatment System (METTS).
View Article and Find Full Text PDFGeroscience
September 2025
Department of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
This study aims to investigate the predictive value of combined phenotypic age and phenotypic age acceleration (PhenoAgeAccel) for benign prostatic hyperplasia (BPH) and develop a machine learning-based risk prediction model to inform precision prevention and clinical management strategies. The study analyzed data from 784 male participants in the US National Health and Nutrition Examination Survey (NHANES, 2001-2008). Phenotypic age was derived from chronological age and nine serum biomarkers.
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