Background: The available prediction models for clinically relevant postoperative pancreatic fistula (CR-POPF) do not incorporate both preoperative and intraoperative variables.
Aim: To construct a new risk scoring system for CR-POPF that includes both preoperative and intraoperative factors.
Methods: This was a retrospective study of patients who underwent pancreaticoduodenectomy (PD) or pylorus-preserving PD (PPPD) between January 2011 and December 2016 at the First Affiliated Hospital of Soochow University. Patients were divided into a study (01/2011 to 12/2014) or validation (01/2015 to 12/2016) group according to the time of admission. POPF severity was classified into three grades: Biochemical leak (grade A) and CR-POPF (grades B and C). Logistic regression was used to create a predictive scoring system.
Results: Preoperative serum albumin ≥ 35 g/L [ = 0.032, odds ratio (OR) = 0.92, 95% confidence interval (CI): 0.85-0.99], hard pancreatic texture ( = 0.004, OR = 0.25, 95%CI: 0.10-0.64), pancreatic duct diameter ≥ 3 mm ( = 0.029, OR = 0.50, 95%CI: 0.27-0.93), and intraoperative blood loss ≥ 500 mL ( = 0.006, OR = 1.002, 95%CI: 1.001-1.003) were independently associated with CR-POPF. We established a 10-point risk scoring system to predict CR-POPF. The area under the curve was 0.821 (95%CI: 0.736-0.905) and the cut-off value was 3.5. Including drain amylase levels improved the predictive power of the model.
Conclusion: This study established a 10-point scoring system to predict CR-POPF after PD/PPPD using preoperative and intraoperative parameters. Ultimately, this system could be used to distinguish between high- and low-risk populations in order to facilitate timely interventions after PD.
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http://dx.doi.org/10.3748/wjg.v25.i21.2650 | DOI Listing |
Blood
January 2025
H. Lee Moffitt Cancer Center, Tampa, Florida, United States.
Myelodysplastic syndromes/neoplasms (MDS) are a widely heterogenous group of myeloid malignancies characterized by morphologic dysplasia, a defective hematopoiesis, and recurrent genetic abnormalities. The original and revised International Prognostic Scoring Systems (IPSS) have been used to risk-stratify patients with MDS to guide treatment strategies. In higher-risk MDS, the therapeutic approach is geared toward delaying leukemic transformation and prolonging survival.
View Article and Find Full Text PDFJ Trauma Nurs
January 2025
Author Affiliations: Department of Neurosurgery (Dr Xiao), Department of Nursing Care, Affiliated Hospital of Chengdu University, Chengdu, China (Dr Wang).
Background: Traditional nursing care often fails to meet the complex needs of hypertensive cerebral hemorrhage patients. Limited evidence exists on the efficacy of structured nursing frameworks such as the Omaha System in postoperative care for these patients.
Objective: This study aims to evaluate the efficacy of Omaha-based extended nursing care in improving patients' outcomes.
PLoS One
January 2025
Institute of Psychiatry, Psychology & Neuroscience at King's College London, London, United Kingdom.
Fluctuation-related pain (FRP) affects more than one third of people with Parkinson's disease (PwP, PD) and has a harmful effect on health-related quality of life (HRQoL), but often remains under-reported by patients and neglected by clinicians. The National Institute for Health and Care Excellence (NICE) recommends The Parkinson KinetiGraphTM (the PKGTM) for remote monitoring of motor symptoms. We investigated potential links between the PKGTM-obtained parameters and clinical rating scores for FRP in PwP in an exploratory, cross-sectional analysis of two prospective studies: "The Non-motor International Longitudinal, Real-Life Study in PD-NILS" and "An observational-based registry of baseline PKG™ in PD-PKGReg".
View Article and Find Full Text PDFPLoS One
January 2025
Nanjing University of Science and Technology, Jiangsu, China.
Student performance is crucial for addressing learning process problems and is also an important factor in measuring learning outcomes. The ability to improve educational systems using data knowledge has driven the development of the field of educational data mining research. Here, this paper proposes a machine learning method for the prediction of student performance based on online learning.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Healthcare Economics and Quality Management, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Background: The COVID-19 pandemic, declared in March 2020, profoundly affected global health, societal, and economic frameworks. Vaccination became a crucial tactic in combating the virus. Simultaneously, the pandemic likely underscored the internet's role as a vital resource for seeking health information.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!