Phenobarbital treatment of alcohol withdrawal in the emergency department: A systematic review and meta-analysis.

OBJECTIVE: Despite frequent treatment of alcohol withdrawal syndrome (AWS) in the emergency department (ED), evidence for phenobarbital (PB) as an ED alternative therapy is mixed. We conducted a systematic review and meta-analysis comparing safety and efficacy of PB to benzodiazepines (BZDs) for treatment of AWS in the ED. METHODS: We searched articles and references published in English in PubMed, Web of Science, and Embase from inception through May 2022. We included randomized trials and cohort studies comparing treatment with PB to BZD controls and excluded studies focused on non-AWS conditions. Review was conducted by two blinded investigators and a third author; eight of 59 (13.6%) abstracts met inclusion criteria for review and meta-analysis using a random-effects model. Treatment superiority was evaluated through utilization, pharmacologic, and clinical outcomes. Primary outcomes for meta-analysis were the proportion of patients (1) admitted to the intensive care unit (ICU), (2) admitted to the hospital, (3) readmitted to the ED after discharge, and (4) who experienced adverse events. RESULTS: Eight studies (two randomized controlled trials, six retrospective cohorts) comprised data from 1507 patients in 2012 treatment encounters for AWS. All studies were included in meta-analysis for adverse events, seven for hospital admission, five for ICU admission, and three for readmission to the ED after discharge. Overall methodological quality was low-moderate, risk of bias moderate-high, and statistical heterogeneity moderate. Pooled relative risk of ICU admission for those treated with PB versus BZD was 0.92 (95% confidence interval [CI] 0.54-1.55). Risk for admission to the hospital was 0.98 (95% CI 0.89-1.07) and for any adverse event was 1.1 (95% CI 0.78-1.57); heterogeneity prevented meta-analysis for ED readmission. CONCLUSIONS: The current literature base does not show that treatment with PB significantly reduces ICU admissions, hospital admissions, ED readmissions, or adverse events in ED patients with AWS compared with BZDs alone.

Guiding principles for the responsible development of artificial intelligence tools for healthcare.

Several principles have been proposed to improve use of artificial intelligence (AI) in healthcare, but the need for AI to improve longstanding healthcare challenges has not been sufficiently emphasized. We propose that AI should be designed to alleviate health disparities, report clinically meaningful outcomes, reduce overdiagnosis and overtreatment, have high healthcare value, consider biographical drivers of health, be easily tailored to the local population, promote a learning healthcare system, and facilitate shared decision-making. These principles are illustrated by examples from breast cancer research and we provide questions that can be used by AI developers when applying each principle to their work.

Anxiety, PTSD, and stressors in medical students during the initial peak of the COVID-19 pandemic.

PURPOSE: To assess psychological effects of the initial peak phase of the COVID-19 pandemic on United States (US) medical students in clinical training to anticipate sequelae and prepare for future outbreaks. METHODS: Authors emailed a cross-sectional survey in April-May, 2020 to students in clinical training years at six US medical schools which included validated General Anxiety Disorder (GAD-7) and Primary Care-PTSD (PC-PTSD-5) screening tools, and asked students about pandemic-related stress and specific concerns. Authors used quantitative and thematic analysis to present results. RESULTS: Of 2511 eligible students, 741 responded (29.5%). Most students (84.1%) reported at least "somewhat" increased levels of stress and anxiety related to the pandemic. On the GAD-7, 34.3% showed mild, 16.1% moderate, and 9.5% severe anxiety symptoms, with 39.6% demonstrating no/minimal symptoms. One quarter (25.4%) screened positive for PTSD risk symptoms. Top concerns of students chosen from a pre-populated list included inadequate COVID-19 testing, undiagnosed or asymptomatic spread and racial or other disparities in the pandemic. In thematic analysis, students' reactions to removal from clinical learning included: understanding the need to conserve PPE (32.2%), a desire to help (27.7%), worry over infectious risk to others (25.4%) and self (21.2%), and lost learning opportunities (22.5%). Female students were significantly more likely to report anxiety and PTSD risk symptoms. Asian students had a greater risk of moderate anxiety and those underrepresented in medicine (UIM) had greater risk of moderate and severe anxiety symptoms compared to white students. CONCLUSIONS: During the initial peak phase of COVID-19, over 60% of US medical students screened positive for pandemic-related anxiety and one quarter were at risk for PTSD. Female and UIM students were significantly more affected. Medical schools should consider broad support of students, and targeted outreach to female and UIM students.

The DigniCap Scalp Cooling System and its use in the treatment of chemotherapy-induced alopecia.

Chemotherapy-induced alopecia remains an emotionally traumatic side effect for cancer patients that impacts the quality of life, may be protracted in duration and may influence treatment decisions. Scalp cooling has been shown to be effective in preventing chemotherapy-induced alopecia. The DigniCap Scalp Cooling System is designed to prevent hair loss by cooling the scalp to reduce the impact of chemotherapy on hair follicle cells. Recent studies have shown the safety, efficacy and low-grade toxicity of the DigniCap System with a 66.3% success rate in hair preservation (n = 106) relative to 0% in a nonrandomized control group according to a prospective pivotal study. Data also support improved quality of life in several domains. Two scalp cooling devices including the DigniCap are now US FDA cleared and can be offered as a part of standard of care.

Coping with obsessive relational intrusion and stalking: the role of social support and coping strategies.

This study investigated the extent to which social support mediates negative effects of stalking and obsessive relational intrusion (ORI) victimization. A survey of 1,068 respondents indicated that (a) ORI/stalking victimization is positively related to negative symptoms and trauma; (b) five different types of coping responses are positively related to negative symptoms; (c) four domains of social support reveal small but significant negative relationships with negative symptoms; and (d) females are more threatened by unwanted pursuit than male victims, and male pursuers are more threatening than female pursuers. Structural equation modeling indicates that the influence of ORI/stalking on negative symptoms is mediated by the use of coping strategies and the adequacy of social support. Discussion speculates on the functional theoretical value of coping and support processes in managing unwanted pursuit and stalking.