METHODS: 99 adult patients at four training and research hospitals who had undergone an abdominal contrast computed tomography scan in the ED with the final diagnosis of splenic abscess from January 2004 to November 2017 were recruited. Evaluation for sarcopenia was performed via calculating the psoas cross-sectional area at the level of the third lumbar vertebra and normalising for height, before checking it against pre-defined values. Univariate analyses were used to evaluate the differences between survivors and non-survivors. Sensitivity, specificity, and predictive values of the presence of sarcopenia in predicting in-hospital mortality were calculated. Kaplan-Meier methods, log-rank test, and Cox proportional hazards model were also performed to examine survival between groups with sarcopenia versus non-sarcopenia.
RESULTS: Splenic abscess patients with sarcopenia were 7.56 times more at risk of in-hospital mortality than those without sarcopenia (multivariate-adjusted HR: 7.56; 95% CI: 1.55-36.93). Presence of sarcopenia was found to have 84.62% sensitivity and 96.49% negative predictive value in predicting mortality.
CONCLUSION: Sarcopenia is associated with poor prognoses of in-hospital mortality in patients with splenic abscess presenting to the ED. We recommend its use in the ED to rapidly risk stratify and predict outcome to guide treatment strategies.
Purpose: To analyze the injury rates, patterns, and risk factors of functional training/CrossFit.
Study Design: Descriptive epidemiology study.
Methods: Electronic questionnaires were distributed to 244 participants from 15 centers in the country. Descriptive data regarding the athletes, injury occurrence within the past 6 months, injury details, and risk factors were collected.
Results: Of the 244 athletes, 112 (46%) developed at least 1 new injury over the previous 6 months. Injury rates were significantly higher in athletes from nonaffiliate training gyms compared with CrossFit-affiliated gyms, in athletes with previous injuries, and in those who perceived themselves as having more than average fitness.
Conclusion: Coaches and athletes need to be more aware of risk factors for injury to enable safer and better training strategies.
AIM: The aim of the study was to determine the influence of various risk factors on ST2 levels in patients with HFpEF and diabetes mellitus type 2 (T2DM).
MATERIALS AND METHODS: A total of one hundred and thirty-four patients (74 females and 60 males, 51 diabetic patients and 83 patients without T2DM with HFpEF were examined. Duration of HF and T2DM, common risk factors, such as smoking, overweight, clinical examination, parameters of carbohydrate and lipid metabolism, glomerular filtration rate (GFR) and M235T polymorphism of ATG have been used. Multivariate backward stepwise cox regression analysis was performed in Statistica 10,0. p<0,05 was considered statistically significant.
RESULTS: ST2 level in patients with HFpEF associated with T2DM exceeded this value in patients with HFpEF without T2DM and was 23.26 ng/ml (18.5: 29.3) vs. 20.39 ng/ml (18.3: 24.6), respectively (p<0,05). To assess the cumulative effect of the studied factors on the ST2 level, we performed the Cox's stepwise multivariate regression analysis. Smoking, HOMA-IR (Homeostatic Model Assessment for Insulin Resistance), glucose, HbA1 and insulin levels were found to be the most significant factors influencing ST2 levels in patients with HF and T2DM, indicating a significant effect of DM type 2 on ST2 concentration.
CONCLUSIONS: Smoking, HOMA-IR, glucose, HbA1, and insulin levels can significantly affect ST2 levels in patients with T2DM and HFpEF.
METHOD: Participants (N = 75) completed a clinical interview, cognitive control tasks, and the Cognitive Emotion Regulation Questionnaire.
RESULTS: Those with suicidal ideation or previous attempts had poorer cognitive control and cognitive emotion regulation than controls. Furthermore, those who had attempted suicide had poorer cognitive control and reported greater use of self-blame, rumination, and catastrophizing, and less use of acceptance, than those with suicidal ideation only. There was an indirect effect of cognitive control deficits on suicidality through cognitive emotion regulation (self-blame, acceptance, rumination, catastrophizing).
CONCLUSIONS: Exploring these cognitive deficits and difficulties can assist in further understanding the risk factors for suicidality and improve targeted interventions. This is of particular relevance in Iran where the need for policies and interventions targeting the prevention of suicide has been identified.
METHODS AND RESULTS: The PeriOperative ISchemic Evaluation (POISE)-1 trial evaluated the effects of metoprolol vs. placebo in 8351 patients, and POISE-2 compared the effect of aspirin vs. placebo, and clonidine vs. placebo in 10 010 patients. These trials included patients with, or at risk of, cardiovascular disease who were undergoing non-cardiac surgery. For the purpose of this study, we combined the POISE datasets, excluding 244 patients who were in atrial fibrillation (AF) at the time of randomization. Perioperative atrial fibrillation was defined as new AF that occurred within 30 days after surgery. Our primary outcome was the incidence of stroke at 1 year of follow-up; secondary outcomes were mortality and myocardial infarction (MI). We compared outcomes among patients with and without POAF using multivariable adjusted Cox proportional hazards models. Among 18 117 patients (mean age 69 years, 57.4% male), 404 had POAF (2.2%). The stroke incidence 1 year after surgery was 5.58 vs. 1.54 per 100 patient-years in patients with and without POAF, adjusted hazard ratio (aHR) 3.43, 95% confidence interval (CI) 2.00-5.90; P risk of death (incidence 31.37 vs. 9.34; aHR 2.51, 95% CI 2.01-3.14; P risk of stroke, MI, and death at 1 year. Intervention studies are needed to evaluate risk reduction strategies in this high-risk population.