Activity

9% (55 ± 10 mmol/l), pump users 78%, CGM use 3.7 ± 2.6 years). The completion rate was 99% and the Cronbach’s alpha coefficient was 0.8. The total satisfaction score was 3.9 ± 0.4 (effectiveness 4.1 ± 0.6, convenience 3.8 ± 0.6, intrusiveness 2.2 ± 0.7).

The GME-Q was translated into Spanish and validated for Spanish-speaking CGM users with type 1 diabetes.

The GME-Q was translated into Spanish and validated for Spanish-speaking CGM users with type 1 diabetes.

The authors sought to identify scalable evidence-based suicide prevention strategies.

A search of PubMed and Google Scholar identified 20,234 articles published between September 2005 and December 2019, of which 97 were randomized controlled trials with suicidal behavior or ideation as primary outcomes or epidemiological studies of limiting access to lethal means, using educational approaches, and the impact of antidepressant treatment.

Training primary care physicians in depression recognition and treatment prevents suicide. Educating youths on depression and suicidal behavior, as well as active outreach to psychiatric patients after discharge or a suicidal crisis, prevents suicidal behavior. INCB024360 mouse Meta-analyses find that antidepressants prevent suicide attempts, but individual randomized controlled trials appear to be underpowered. Ketamine reduces suicidal ideation in hours but is untested for suicidal behavior prevention. Cognitive-behavioral therapy and dialectical behavior therapy prevent suicidal behav acute suicide risk change.

This study compared relapse prevention and acceptability of long-acting injectable (LAI) antipsychotics in the maintenance treatment of adults with nonaffective psychoses.

The authors searched MEDLINE, Embase, PsycINFO, CINAHL, CENTRAL, and online registers for randomized controlled trials published until June 2020. Relative risks and standardized mean differences were pooled using random-effects pairwise and network meta-analysis. The primary outcomes were relapse rate and all-cause discontinuation (“acceptability”). The quality of included studies was rated with the Cochrane Risk of Bias tool, and the certainty of pooled estimates was measured with GRADE (Grading of Recommendations Assessment, Development, and Evaluation).

Of 86 eligible trials, 78 (N=11,505) were included in the meta-analysis. Regarding relapse prevention, most of the 12 LAIs included outperformed placebo. The largest point estimates and best rankings of LAIs compared with placebo were found for paliperidone (3-month formulation) andility. Results from this network meta-analysis should inform frontline clinicians and guidelines.

LAI formulations of paliperidone (3-month formulation), aripiprazole, olanzapine, and paliperidone (1-month formulation) showed the highest effect sizes and certainty of evidence for both relapse prevention and acceptability. Results from this network meta-analysis should inform frontline clinicians and guidelines.

Following an acute ischemic stroke or transient ischemic attack, 2 rates of stroke recurrence are suggested by data from trials of acute secondary prevention treatments a transient rapid rate followed by a persisting slower rate of stroke.

A kinetic model was constructed based on underlying vulnerable and stabilized states of patients following acute ischemic events related by fixed transition rates. Its predictions were fitted by nonlinear regression to the observed timing of outcome events in patients in the POINT trial (Platelet-Oriented Inhibition in New TIA and Minor Ischemic Stroke).

The modeled survivor function produced a close fit to the observed data. The model’s predicted kinetic rates suggest that, among subjects in the control group, the event rate was 100-fold higher in the vulnerable state than in the stabilized state. Active treatment halved this rapid rate and had little effect on event rates in the stabilized state. If at least one-tenth of the study population began in the vulnerable state, the rate of transition from the vulnerable to the stabilized state was still faster, with a half-life of only 1 to 2 days.

Examination of kinetics of stroke occurrence, and of the rates associated with modeled state transitions, may provide insights into the underlying pathophysiological events that are targets for acute secondary prevention of stroke.

Examination of kinetics of stroke occurrence, and of the rates associated with modeled state transitions, may provide insights into the underlying pathophysiological events that are targets for acute secondary prevention of stroke.

Several observational studies have compared the effect of the non-vitamin K antagonist oral anticoagulants to each other in patients with atrial fibrillation. However, confounding by indication is a major problem when comparing non-vitamin K antagonist oral anticoagulant treatments in some of these studies. This meta-analysis was conducted to compare the effectiveness and safety between non-vitamin K antagonist oral anticoagulant and non-vitamin K antagonist oral anticoagulant by only including the propensity score matching studies.

We systematically searched the PubMed and Ovid databases until May 2020 to identify relevant observational studies. Hazard ratios (HRs) and 95% CIs of the reported outcomes were collected and then pooled by a random-effects model complemented with an inverse variance heterogeneity or quality effects model.

A total of 17 retrospective cohort studies were included in this meta-analysis. Compared with dabigatran use, the use of rivaroxaban was significantly associated with incroke prevention in atrial fibrillation patients.

Delayed cerebral ischemia (DCI) after aneurysmal subarachnoid hemorrhage negatively impacts long-term recovery but is often detected too late to prevent damage. We aim to develop hourly risk scores using routinely collected clinical data to detect DCI.

A DCI classification model was trained using vital sign measurements (heart rate, blood pressure, respiratory rate, and oxygen saturation) and demographics routinely collected for clinical care. Twenty-two time-varying physiological measures were computed including mean, SD, and cross-correlation of heart rate time series with each of the other vitals. Classification was achieved using an ensemble approach with L2-regularized logistic regression, random forest, and support vector machines models. Classifier performance was determined by area under the receiver operating characteristic curves and confusion matrices. Hourly DCI risk scores were generated as the posterior probability at time

using the Ensemble classifier on cohorts recruited at 2 external institutions (n=38 and 40).