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Classification Prediction of Hydrocephalus After Intercerebral Haemorrhage Based on Machine Learning Approach.
Neuroinformatics
January 2025
Department of Mathematics and Statistics, Changsha University of Science and Technology, Changsha, 410114, China.
In order to construct a clinical classification prediction model for hydrocephalus after intercerebral haemorrhage(ICH) to guide clinical treatment decisions, this paper retrospectively analyses the clinical data of 844 cases of ICH and hydrocephalus inpatients admitted to Yueyang People's Hospital from May 2019 to October 2022, of which 95 cases of hydrocephalus occurred after ICH and no hydrocephalus in 749 cases. The following indicators were compared between the two groups of patients: gender, age, Glasgow Coma Scale(GCS)score, whether the amount of bleeding was greater than 30 ml, whether it broke into the ventricle or not, modified Graeb score(MGS), modified Rankin Scale (MRS) score, whether surgery was performed or not, red blood cells, white blood cells, and platelets. After variable screening, the following six variables were selected: GCS score, MGS, MRS score, whether the bleeding volume was greater than 30 ml, whether it broke into the ventricle or not, and whether surgery was performed or not were modelled and analysed using logistic regression model and support vector machine model in machine learning.
View Article and Find Full Text PDFClinical Outcomes and Predictors of Poor Prognosis in Non-aneurysmal Subarachnoid Hemorrhage: A 10-Year Cohort Analysis.
Cureus
December 2024
Neurosurgery, Hospital de Braga, Braga, PRT.
Introduction A large majority of spontaneous subarachnoid hemorrhages (SAH) are attributed to aneurysm rupture, though the cause remains unknown in a notable percentage of cases. Non-aneurysmal SAH (naSAH) is generally thought to follow a more benign clinical course than aneurysmal SAH (aSAH); however, similar complications may occur, and poor outcomes are still possible. Given the limited research on naSAH, this study aims to characterize these patients and correlate clinical and radiographic findings with outcomes.
View Article and Find Full Text PDFPredictors of Mortality in Patients with Spontaneous Bacterial Peritonitis.
Euroasian J Hepatogastroenterol
December 2024
Department of Hepatogastroenterology, Sindh Institute of Urology and Transplantation, Karachi, Pakistan.
Introduction: Despite treatment with antibiotic therapy, spontaneous bacterial peritonitis (SBP) accounts for approximately 20-40% mortality in hospitalized patients. The data is scarce regarding mortality predictors in SBP. Recently, multiple factors have been studied for effectiveness in prognosis prediction in SBP.
View Article and Find Full Text PDFDrug use and acute kidney injury: a Drug-Wide Association Study (DWAS) in Denmark and Sweden.
Clin Kidney J
January 2025
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Background: Knowledge of which medications may lead to acute kidney injury (AKI) is limited, relying mostly on spontaneous reporting in pharmacovigilance systems. We here conducted an exploratory drug-wide association study (DWAS) to screen for associations between dispensed drugs and AKI risk.
Methods: Using two large Danish and Swedish data linkages, we identified AKI hospitalizations occurring between April 1997 and December 2021 in Denmark and between March 2007 and December 2021 in Sweden.
Spontaneous conversion of fetal heart block to sinus rhythm post externalized pacemaker placement in an undiagnosed mother with lupus antibodies.
J Matern Fetal Neonatal Med
December 2025
Upstate University Hospital, Syracuse, NY, USA.
The incidence for congenital heart block is estimated as high as 1 in 15,000 live births. Up to 90% of cases of congenital heart block, in which there is no anatomical abnormalities, are attributed to maternal systemic lupus erythematous or Sjögren's disease. 50% of these mothers are asymptomatic at time of diagnosis.
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