World Neurosurg
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Traumatic brain injury (TBI) is a public health problem in Ethiopia. More knowledge about the epidemiology and neurosurgical management of TBI patients is needed to identify possible focus areas for quality improvement and preventive efforts. ⋯ The injury panorama, delayed admission, and small number of operations performed for severe TBI are linked to a substantial patient selection bias both before and after hospital admission. Our results also suggest that there should be a geographical framework for tailored guidelines, preventive efforts, and development of prehospital and hospital services.
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The impact of glioma location on quality of life (QOL) has not been conclusively studied, possibly due to the prohibitively high sample size that standard statistical analyses would require and the inherent heterogeneity of this disease. By using a novel algorithm, we investigated the impact of tumor location on QOL in a limited set of 53 consecutive patients. ⋯ Although the areas identified in this study are traditionally considered non-eloquent areas, tumor proximity to these regions showed more impact on QOL than any other brain regions. We postulate that this effect is mediated via an adverse impact on the visuospatial functioning.
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Patients undergoing spine surgery often inaccurately estimate their pain tolerance and postoperative analgesic requirement. We sought to identify an association between patients' self-perceived pain tolerance and postoperative opioid consumption (POC). ⋯ Self-perceived pain tolerance does not appear to predict POC, while younger age and higher preoperative VAS pain scores are related to increased POC. Younger patients who report high pain tolerance appear to consume higher levels of opioids compared with older patients.
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Although various predictors of adverse postoperative outcomes among patients with meningioma have been established, research has yet to develop a method for consolidating these findings to allow for predictions of adverse health care outcomes for patients diagnosed with skull base meningiomas. The objective of the present study was to develop 3 predictive algorithms that can be used to estimate an individual patient's probability of extended length of stay (LOS) in hospital, experiencing a nonroutine discharge disposition, or incurring high hospital charges after surgical resection of a skull base meningioma. ⋯ After external validation, our predictive models have the potential to aid clinicians in providing patients with individualized risk estimation for health care outcomes after meningioma surgery.