Articles: cations.
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With a varying annual incidence across populations, traumatic spinal cord injury (TSCI) remains a public health concern of utmost importance, especially in developing countries with an incidence rate ranging from 12.7 to 29.7 per million people and a postulated increase in the number of patients living with undesirable complications of this condition. It is against this background that we reviewed the literature to bring to light the epidemiology, burden, management, and outcomes of TSCIs across Africa. ⋯ The incidence of the traumatic condition in certain parts of Africa is significantly higher than in other parts of the world, suggesting the need for an urgent call to action regarding addressing its key drivers.
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Active Day Patient Treatment (ADAPT) is a well-established 3 week intensive cognitive-behavioural, interdisciplinary pain management program for patients with disabling chronic pain. The aim of this analysis was to conduct an economic analysis of patient-related effects of ADAPT using hospital administrative data, specifically, to compare the costs and health outcomes for patients 1 month after participating in the program, with the preprogram period when they were receiving standard care. This retrospective cohort study included 230 patients who completed ADAPT (including follow-ups) between 2014 and 17 at the Pain Management and Research Centre at the Royal North Shore Hospital in Sydney, Australia. ⋯ The cost per clinically meaningful change in pain severity and interference score based on the BPI severity and BPI interference were AU$9452.32 (95% CI: $7031.76-$12,930.40) and AU$3446.62 (95% CI: $2851.67-$4126.46), respectively. The cost per point improvement and per clinically meaningful change in the Pain Self-efficacy Questionnaire were $483 (95% CI: $411.289-$568.606) and $3381.02, respectively. Our analysis showed a better health outcome, reduced healthcare services' cost, and reduced number of medications taken 1 month after participating in ADAPT.
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Measuring and comparing clinical productivity of individual anesthesiologists is confounded by anesthesiologist-independent factors, including facility-specific factors (case duration, anesthetizing site utilization, type of surgical procedure, and non-operating room locations), staffing ratio, number of calls, and percentage of clinical time providing anesthesia. Further, because anesthesia care is billed with different units than relative value units, comparing work with other types of clinical care is difficult. Finally, anesthesia staffing needs are not based on productivity measurements but primarily the number and hours of operation of anesthetizing sites. The intent of this review is to help anesthesiologists, anesthesiology leaders, and facility leaders understand the limitations of anesthesia unit productivity as a comparative metric of work, how this metric often devalues actual work, and the impact of organizational differences, staffing models and coverage requirements, and effectiveness of surgical case load management on both individual and group productivity.
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The aim of the study was to assess short-term changes in shoulder muscle activity elicited by dry needling in chronic unilateral shoulder pain (USP) patients. ⋯ A single application of real dry needling resulted in clinically significant changes in the short term. No differences were detected in muscle activation in the infraspinatus or deltoid muscles. Complementary interventions and longer follow-up times may be required to observe changes in muscle activity.
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Sepsis is associated with significant mortality and morbidity among critically ill patients admitted to intensive care units and represents a major health challenge globally. Given the significant clinical and biological heterogeneity among patients and the dynamic nature of the host immune response, identifying those at high risk of poor outcomes remains a critical challenge. Here, we performed secondary analysis of publicly available time-series gene-expression datasets from peripheral blood of patients admitted to the intensive care unit to elucidate temporally stable gene-expression markers between sepsis survivors and nonsurvivors. ⋯ Our model had robust performance in a test dataset, where patients' transcriptome was sampled at alternate time points, with an area under the curve of 0.89 (95% CI, 0.82-0.96) upon 5-fold cross-validation. We also identified 7 potential biomarkers of sepsis mortality (STAT5A, CX3CR1, LCP1, SNRPG, RPS27L, LSM5, SHCBP1) that require future validation. Pending prospective testing, our model may be used to identify sepsis patients with high risk of mortality accounting for the dynamic nature of the disease and with potential therapeutic implications.