Objective: To investigate the independent risk factors of traumatic brain injury (TBI) prognosis.
Methods: A retrospective analysis was performed in 885 hospitalized TBI patients from January 1, 2003 to January 1,2010 in the First Affiliated Hospital of Medical College of Xi’an Jiaotong University .Single-factor and logisticregression analysis were conducted to evaluate the association of different variables with TBI outcome.
Results: The single-factor analysis revealed significant association between several variables and TBI outcome, including age ( P=0.044 for the age group 40-60, Pü0.001 for the age group ≥60), complications ( P<0.001), cerebrospinal fluid leakage( P<0.001), Glasgow Coma Scale(GCS) ( P<0.001), pupillary light reflex ( P<0.001), shock ( P<0.001), associated extra-craniallesions ( P=0.01), subdural hematoma ( P<0.001), cerebral contusion ( P<0.001), diffuse axonal injury ( P<0.001), and subarachnoid hemorrhage( P<0.001), suggesting theinfluence of those factors on the prognosis of TBI. Furthermore, logistic regression analysis identified age, GCS score, pupillary light reflex, subdural hematoma,and subarachnoid hemorrhage as independent risk factors of TBI prognosis.
Conclusion: Age, GCS score, papillary lightreflex, subdural hematoma, and subarachnoid hemorrhage may be risk factors influencing the prognosis of TBI. Paying attention to those factors might improve the outcome of TBI in clinical treatment.
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http://dx.doi.org/10.1016/s1001-9294(11)60027-8 | DOI Listing |
Sci Rep
December 2024
School of Engineering and Technology, Sunway University, No. 5, Jalan Universiti, Bandar Sunway, Petaling Jaya, 47500, Selangor Darul Ehsan, Malaysia.
Cervical cancer is a deadly disease in women globally. There is a greater chance of getting rid of cervical cancer in case of earliest diagnosis. But for some patients, there is a chance of recurrence.
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December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
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December 2024
Department of Ophthalmology, China Medical University Hospital, China Medical University, Taichung, Taiwan.
To investigate for the risk of uveitis among such patients. A retrospective cohort study utilized the TriNetX database and recruited pediatric autoimmune patients diagnosed between January 1st 2004 and December 31st 2022. The non-autoimmune cohort were randomly selected control patients matched by sex, age, and index year.
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December 2024
State Key Laboratory of Frigid Zone Cardiovascular Disease, Cardiovascular Research Institute, Department of Cardiology, General Hospital of Northern Theater Command, Shenyang, 110016, China.
The triglyceride to high density lipoprotein cholesterol (TG/HDL-C) ratio has been consistently linked with the risk of coronary heart disease (CHD). Nevertheless, there is a paucity of studies focusing on acute coronary syndrome (ACS) patients undergoing percutaneous coronary intervention (PCI) or experiencing bleeding events. The study encompassed 17,643 ACS participants who underwent PCI.
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December 2024
Department of Medical and Surgical Sciences, Institute of Cardiology, University of Bologna, Policlinico S.Orsola-Malpighi, via Massarenti 9, Bologna, 40138, Italy.
Cardiac implantable electronic devices infections (CIEDI) are associated with poor survival despite the improvement in transvenous lead extraction (TLE). Aetiology and systemic involvement are driving factors of clinical outcomes. The aim of this study was to explore their contribute on overall mortality.
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