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Physiologic Data (physiologic + data)
Selected AbstractsMelatonin and ulcerative colitis: Evidence, biological mechanisms, and future researchINFLAMMATORY BOWEL DISEASES, Issue 1 2009Paul D. Terry PhD Abstract Ulcerative colitis (UC) is an inflammatory bowel disease that afflicts up to 1 million people in the US. Current treatments for UC are mostly nonspecific, not always effective, and often accompanied by serious side effects. Therefore, there is considerable interest in finding alternative and more tolerable treatments for this disease. Physiologic data suggest that melatonin is an important regulator of both inflammation and motility in the gastrointestinal tract, and data from in vitro studies, animal experiments, and limited studies in humans suggest that supplemental melatonin may have an ameliorative effect on colitis. In this review we summarize the evidence regarding melatonin as a possible therapeutic agent in UC and discuss possible biological mechanisms and directions for future research. (Inflamm Bowel Dis 2008) [source] Serial Estimation of Survival Prediction Indices Does Not Improve Outcome Prediction in Critically III Dogs with Naturally Occurring DiseaseJOURNAL OF VETERINARY EMERGENCY AND CRITICAL CARE, Issue 3 2001DACVECC, DACVIM, Lasely G. King MVB Abstract Objective: The objectives of this study were to test the value of adding serial measurements to the Survival Prediction Index (SPI 2), and to investigate whether time trajectories add predictive information beyond measurements at a single point in time. Design: Prospective clinical trial. Setting: Intensive care unit at a Veterinary Teaching Hospital. Animals: 63 critically ill dogs Interventions: Physiologic data were collected within 24 hours of admission to the ICU (Day 1), and again on Day 3 of hospitalization. Measurements: The first analysis applied the SPI 2 equation on Day 1 and again on Day3. Then a prediction model was re-estimated using Day 1 measurements, and the incremental predictive value of adding Day 1 to Day 3 change scores was evaluated. the third analysis tested the incremental predictive value of change scores in models containing only one prognostic variable. The final analysis compared the re-estimated Day 1 model to an analogously re-estimated Day 3 model. Main Results: Using the SPI 2 equation, the AUC was 7.7% higher using Day 3 measurements than that obtained using Day 1 measurements (P = 0.515). Starting with the re-estimated Day 1 model (AUC = 0.925), forward stepwise addition of the difference score for each variable did not result in an improvement in the AUC. The AUC for the re-estimated Day 1 model was not statistially different from that of the re-estimated model using Day 3 measurements. Conculusion: This study shows no benefit to repeated calculation of the SPI 2 later in hospitalization. [source] Application of artificial neural network modelling to identify severely ill patients whose aminoglycoside concentrations are likely to fall below therapeutic concentrationsJOURNAL OF CLINICAL PHARMACY & THERAPEUTICS, Issue 5 2003S. Yamamura PhD Summary Objective:, Identification of ICU patients whose concentrations are likely to fall below therapeutic concentrations using artificial neural network (ANN) modelling and individual patient physiologic data. Method:, Data on indicators of disease severity and some physiologic data were collected from 89 ICU patients who received arbekacin (ABK) and 61 who received amikacin (AMK). Three-layer ANN modelling and multivariate logistic regression analysis were used to predict the plasma concentrations of the aminoglycosides (ABK and AMK) in the severely ill patients. Results:, Predictive performance analysis showed that the sensitivity and specificity of ANN modelling was superior to multivariate logistic regression analysis. For accurate modelling, a predictable range should be inferred from the data structure before the analysis. Restriction of the predictable region, based on the data structure, increased predictive performance. Conclusion:, ANN analysis was superior to multivariate logistic regression analysis in predicting which patients would have plasma concentrations lower than the minimum therapeutic concentration. To improve predictive performance, the predictable range should be inferred from the data structure before prediction. When applying ANN modelling in clinical settings, the predictive performance and predictable region should be investigated in detail to avoid the risk of harm to severely ill patients. [source] A Prospective Case Series of Pediatric Procedural Sedation and Analgesia in the Emergency Department Using Single-syringe Ketamine,Propofol Combination (Ketofol)ACADEMIC EMERGENCY MEDICINE, Issue 2 2010Gary Andolfatto MD Abstract Objectives:, This study evaluated the effectiveness, recovery time, and adverse event profile of intravenous (IV) ketofol (mixed 1:1 ketamine,propofol) for emergency department (ED) procedural sedation and analgesia (PSA) in children. Methods:, Prospective data were collected on all PSA events in a trauma-receiving, community teaching hospital over a 3.5-year period, from which data on all patients under 21 years of age were studied. Patients receiving a single-syringe 1:1 mixture of 10 mg/mL ketamine and 10 mg/mL propofol (ketofol) were analyzed. Patients received ketofol in titrated aliquots at the discretion of the treating physician. Effectiveness, recovery time, caregiver and patient satisfaction, drug doses, physiologic data, and adverse events were recorded. Results:, Ketofol PSA was performed in 219 patients with a median age of 13 years (range = 1 to 20 years; interquartile range [IQR] = 8 to 16 years) for primarily orthopedic procedures. The median dose of medication administered was 0.8 mg/kg each of ketamine and propofol (range = 0.2 to 3.0 mg/kg; IQR = 0.7 to 1.0 mg/kg). Sedation was effective in all patients. Three patients (1.4%; 95% confidence interval [CI] = 0.0% to 3.0%) had airway events requiring intervention, of which one (0.4%; 95% CI = 0.0% to 1.2%) required positive pressure ventilation. Two patients (0.9%; 95% CI = 0.0% to 2.2%) had unpleasant emergence requiring treatment. All other adverse events were minor. Median recovery time was 14 minutes (range = 3 to 41 minutes; IQR = 11 to 18 minutes). Median staff satisfaction was 10 on a 1-to-10 scale. Conclusions:, Pediatric PSA using ketofol is highly effective. Recovery times were short; adverse events were few; and patients, caregivers, and staff were highly satisfied. ACADEMIC EMERGENCY MEDICINE 2010; 17:194,201 © 2010 by the Society for Academic Emergency Medicine [source] | ||||||||||