Publications by authors named "H W Zijlstra"

Purpose: The SORG-MLA was developed to predict 90-day and 1-year postoperative survival in patients with spinal metastatic disease who underwent surgery between 2000 and 2016. Due to the constant changes in treatment methods, it is essential to perform temporal validation with a recent patient population. Therefore, the purpose of this study was to validate the Skeletal Oncology Research Group machine learning algorithms (SORG-MLA) using a contemporary patient cohort.

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Whereas urinary creatinine excretion (UCE) is an established marker of muscle mass, both in critically ill and non-critically ill patients, analysis of urinary urea excretion (UUE) may allow estimation of proteolysis that is associated with critical illness. We evaluated the time courses of plasma urea and creatinine as well UUE and UCE in critically ill patients with a prolonged ICU stay. Our goal was to evaluate changes in plasma urea and creatinine in conjunction with their urinary excretion, to get a better understanding of urea handling in ICU patients.

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Study Design: Retrospective propensity-score matched, case control study at 2 academic tertiary care centers.

Objective: To assess the effect of PE on (1) intraoperative blood loss, defined as conventional estimates of blood loss (EBL) and hemoglobin mass loss, and (2) secondary outcomes in patients with spinal metastases from hypervascular histologies.

Background Context: Preoperative embolization (PE) intends to reduce blood loss during surgery for spinal metastases of hypervascular tumors such as renal cell carcinoma.

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Introduction: In patients admitted to the intensive care unit (ICU), muscle mass is inversely associated with mortality. Although muscle mass can be estimated with 24-h urinary creatinine excretion (UCE), its use for risk prediction in individual patients is limited because age-, sex-, weight- and length-specific reference values for UCE are lacking. The ratio between measured creatinine clearance (mCC) and estimated glomerular filtration rate (eGFR) might circumvent this constraint.

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Background: Common mental health problems, such as stress, anxiety and depression, are highly prevalent among workers and often lead to long-term absenteeism and work disability. Effective elements found in previous researched interventions were to explicitly focus on return to work (RTW) and not solely on symptom reduction, to take into account the employees' cognition towards RTW and to include the workplace environment. Based on these elements, a stepped-care approach was developed.

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