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Experience With Hypothermic Machine Perfusion in Expanded Criteria Donors: Functional Outcomes.

Transplantation proceedings
UNLABELLED: Hypothermic machine perfusion (HMP) decreases delayed graft function (DGF) and improves 1-year graft survival in expanded criteria donors (ECDs). Time of HMP could be associated with incidence of DGF.

Antiphospholipid Antibodies and Heart Valve Disease in Systemic Lupus Erythematosus.

The American journal of the medical sciences
Evaluation of antiphospholipid antibodies (aPL) and correlation with heart valve abnormalities among patients with systemic lupus erythematosus (SLE). Nested case-control study was conducted with 70 patients with SLE selected from a longitudinal data...

Hyperglycemia Is Associated with Surgical Site Infections among General and Vascular Surgery Patients.

The American surgeon
Surgical site infection (SSI) is a common cause of morbidity in general and vascular surgery patients. There is inconsistent evidence on the association of glycemic status with SSI, and its utility in predicting and mitigating SSI. General and vascul...

Visualization of Cancer and Cardiovascular Disease Co-Occurrence With Network Methods.

JCO clinical cancer informatics
PURPOSE: Cancer and cardiovascular disease (CVD) are common causes of morbidity and mortality, and measurement and interpretation of their co-occurrence rate have important implications for public health and patient care. Here, we present the raw and...

Prediction of Return-to-original-work after an Industrial Accident Using Machine Learning and Comparison of Techniques.

Journal of Korean medical science
BACKGROUND: Many studies have tried to develop predictors for return-to-work (RTW). However, since complex factors have been demonstrated to predict RTW, it is difficult to use them practically. This study investigated whether factors used in previou...

Prediction of hematoma expansion in spontaneous intracerebral hemorrhage using support vector machine.

EBioMedicine
BACKGROUND: Spontaneous intracerebral hemorrhage (ICH) is a devastating disease with high mortality rate. This study aimed to predict hematoma expansion in spontaneous ICH from routinely available variables by using support vector machine (SVM) metho...

A machine learning approach for predictive models of adverse events following spine surgery.

The spine journal : official journal of the North American Spine Society
BACKGROUND: Rates of adverse events following spine surgery vary widely by patient-, diagnosis-, and procedure-related factors. It is critical to understand the expected rates of complications and to be able to implement targeted efforts at limiting ...