The 2019 novel coronavirus (2019-nCoV) pneumonia has been declared a pandemic, citing more than 118,000 cases of the coronavirus illness in more than 110 countries and territories around the world. Public health emergencies have been demonstrated to have an impact on the behavioral health of the affected population as they may experience fear, anxiety, anger and post-traumatic stress disorder as consequences of their experiences. These effects may persist among affected individuals long after the outbreak has been controlled. To date, data on the behavioral distress and psychiatric morbidity of those suspected or diagnosed with the 2019-nCoV and their treating health professionals are lacking. Although the Centers for Disease Control and Prevention (CDC) has outlined some behavioral health guide for affected individuals, how best to respond to psychological challenges during the crisis is not known. There is an urgent need to provide robust and timely psychosocial support in the face of such an outbreak.

Our main goal is to understand the demographics and psychiatric comorbidities and to evaluate the risk of suicidal behaviors in post-traumatic stress disorder (PTSD) adolescents. We included 159,500 adolescents (age, 12 to 18 years) with a primary psychiatric diagnosis from the Nationwide Inpatient Sample from January to December 2014 and grouped them by a diagnosis of PTSD (N = 21,230 [13.3%]). A logistic regression model was used to measure the odds ratio (OR) for suicidal behaviors in PTSD versus non-PTSD cohorts. A higher proportion of PTSD adolescents were females (75.7%) and whites (63.6%). The most prevalent psychiatric comorbidities in PTSD inpatients (vs. non-PTSD) were anxiety disorders (100% vs. 31.9%) and mood disorders (89.4% vs. 84.7%). About 48.7% of PTSD inpatients had suicidal behaviors and had a higher risk (OR 1.23; 95% CI: 1.19-1.26; P < 0.001) compared to that seen in 43.6% of the non-PTSD cohort. Diagnosis of PTSD is prevalent in adolescents, especially females and whites, with anxiety and mood disorders being the most prevalent comorbidities. There exists a significant association between PTSD and suicidal behaviors, with an increased risk of 23% in adolescents.

We conducted a cross-sectional study to understand the differences in demographics and psychiatric comorbidities in adolescents with major depressive disorder (MDD) and assess the risk of suicidality due to comorbid attention-deficit/hyperactivity disorder (ADHD). We included 141,530 adolescents (age, 12 to 18 years) with a primary diagnosis of MDD from the nationwide inpatient sample (NIS, 2012-2014), and grouped by a comorbid diagnosis of ADHD (N = 22,665, 16%). Logistic regression analysis was used to measure the demographic predictors for ADHD in adolescents with MDD, and to measure the suicidal risk in ADHD versus non-ADHD. Comorbid ADHD was prevalent in whites (71.9%), and males had two times higher odds (95% CI 2.25-2.41) compared to females. The most prevalent comorbidities seen in ADHD-cohort were anxiety disorders (46.3%) and substance abuse (20.1%) with 1.3 times higher odds of substance abuse (95% CI 1.41-1.65) compared to non-ADHD. Suicidal behaviors were seen in a higher proportion of the ADHD cohort compared to the non-ADHD cohort (54.3% vs. 52.7%). ADHD and suicidal behaviors relationship was statistically significant but had a very small positive association (OR 1.04, 95% CI 1.01-1.08) after controlling for demographic confounders and comorbidities. There was a significant increase in the number of MDD hospitalization with ADHD for suicidal behaviors from 51.1% (N = 3,360) in 2012 to 58.2% (N = 5,115) in 2014. There exists a significant but small positive association between suicidal behaviors and comorbid ADHD in MDD adolescents. The suicide rate has increased by 52.2% during the study period in depressed adolescents with ADHD. This calls for early diagnosis and management of ADHD and early-onset depression in adolescents to prevent suicide risk.

Our first goal is to evaluate the prevalence of hospital admissions for prescription opioid overdose (POD) in pediatric inpatients, and next goal is to measure the independent association between cannabis use disorders (CUD) and POD. We used the nationwide inpatient sample (NIS) and included 27,444,239 pediatric inpatients (age ≤ 18 years), and 10,562 (0.04%) were managed primarily for POD. The odds ratio (OR) of the association of variables in POD inpatients was measured using the binomial logistic regression model that was adjusted for demographic confounders and psychiatric comorbidities. Adolescents have higher odds (OR 10.75, 95% CI 10.16-11.36) of POD-related hospitalization compared to children ≤ 12 years. Whites formed the significant proportion (67%), and those from low-income families (<50th percentile) had higher likelihood for POD-related hospitalization. The most prevalent psychiatric comorbidities were mood disorders (44.3%) and anxiety disorders (14.6%). Prevalent comorbid substance use disorders (SUDs) included cannabis (14.2%), tobacco (13.1%), and opioid (9.4%). A higher odds of association with POD-related hospitalizations were seen in pediatric inpatients with comorbid opioid (OR 8.79, 95% CI 8.08-9.56), tobacco (OR 1.58, 95% CI 1.47-1.70), and cannabis (OR 1.68, 95% CI 1.57-1.81) use disorders. The prescription opioid is a bridge to opioid abuse/dependence, thereby increasing the risk of other SUDs like tobacco (by 58%) and cannabis (by 68%). Regulating the easy availability of prescription opioids and also improving the existing prescription trends are an essential way to reduce this problem. Finally, awareness and counseling are recommended strategies for harm reduction/rehabilitation among the pediatric population.

Shock caused by an aortic root abscess is a rare phenomenon. Due to its rarity, it is commonly not diagnosed on time to have a favorable prognosis for the patient. Our case involves an 80-year-old male presenting with leukocytosis, lactic acidosis, and hypoglycemia. Initial studies were not fruitful in determining the cause of septic shock. However, an echocardiogram conducted to clarify the finding of a non-ST segment myocardial infraction led to the incidental finding of an aortic root abscess with retrograde flow, suggesting a perforated abscess without endocarditis. Though the patient expired on day seven, our case demonstrates the importance of echocardiography in diagnosing an aortic root abscess in cases with a sterile blood culture and uneventful initial lab investigations.

To understand the region-wise differences in demographics, comorbid substance abuse, and hospital outcomes in adult schizophrenia inpatients with cannabis abuse and medication non-compliance. We included 51,975 adults (18-65 years) from the Nationwide Inpatient Sample (2012 to 2014) with a primary diagnosis of schizophrenia and comorbid diagnosis of cannabis abuse and medication non-compliance. We used descriptive statistics and linear-by-linear association to evaluate the region-wise differences in demographics and comorbid substance abuse. Analysis of variance was used for continuous variables such as length of stay (LOS) and total charges during hospitalization to measure the differences across the regions. Our study inpatients were from the United States regions: northeast ([NE] 30.4%), midwest ([MW] 24.3%), south (27.3%), and west (18%). A higher proportion of young adults (age: 18-35 years; overall total: 62.4%) were from the south (65.1%) and the NE (64.3%) regions. The study population comprised majorly of males in all the regions, ranging from 78.6% to 82.2% (overall total: 80.5%). The west region comprised majorly of whites (42.6%), whereas all other regions majorly had blacks, with the highest seen in the MW (63.2%) and south (63%) regions. The most prevalent comorbid substances in the study inpatients were tobacco (46.3%) and alcohol (32.3%). The mean LOS and total charges for the hospitalization were much higher in the NE region (LOS: 15.8 days; total charges: $44,336). Cannabis abuse and medication non-compliance in schizophrenia patients were prevalent in the NE region of the United States and in the overall regions, and affects young adults, males, and Blacks from low-income families. This is associated with higher hospitalization stay and cost, which indirectly increase the healthcare burden.