Post-stroke psychosis is prevalent and disabling with increased mortality risk. Treatment for post-stroke psychosis is limited in this staggering medical concern. The most commonly used medications are antipsychotics, however, the risk for stroke increases further with the use of antipsychotics. Furthermore, interventional clinical studies have not been carried out to test the efficacy and safety of antipsychotics in the management of post-stroke psychosis. We present a case of post-stroke psychosis to highlight the risks faced by these patients in terms of daily function and safety concerns and the challenges encountered in treatment due to poor response to the conventional antipsychotics; and so calling attention to early diagnosis and improved treatment options. More clinical investigations are needed to address the pathology associated with the clinical presentation and exploring the pharmacotherapies to improve efficacy and safety of treatment for post-stroke psychosis.

Objectives To explore sociodemographic differences and hospital outcomes in endometriosis patients with versus without psychiatric comorbidities. Methods We conducted a cross-sectional study using the Nationwide Inpatient Sample (NIS, 2012-2014), and included 63,160 females with primary diagnosis of endometriosis. We used descriptive statistics and Pearson’s chi-square test to measure the differences in demographics and utilization of gynecologic procedures by the presence of psychiatric comorbidities. Results Psychiatric comorbidities were present in 18.7% inpatients with endometriosis. About three-fourth of these inpatients were in reproductive age group 26-45 years (75.7%) and were whites (79.1%). Psychiatric comorbidities were seen more in females from middle-income families and from the midwest region of the US. There was no significant difference in the utilization of gynecological procedures by the presence of psychiatric comorbidities. However, inpatients with psychiatric comorbidities had a longer mean length of stay (2.5 vs. 2.3 days) and total charges ($35,489 vs. $34,673) compared to the non-psychiatric cohort. Anxiety disorders predominated at 45% in patients with endometriosis followed by depressive disorder (31.3%), psychotic disorders (12.3%), and drug abuse (6.3%). Conclusion Endometriosis with psychiatric comorbidities is prevalent in young white females from a middle-income family. Anxiety and depressive disorders are most prevalent and are associated with extended hospitalization stay and higher charges, thereby negatively impacting the healthcare burden compared to those without psychiatric comorbidities.

Objective We aimed to analyze the differences in demographics, comorbidities, and the risk of in-hospital mortality in pediatric arterial ischemic stroke (PAIS) inpatient population by hematological (HEM) and cardiovascular (CV) risk factors. Methods A total of 4,036 inpatients (1-18 years of age) from the Nationwide Inpatient Sample (NIS) with a primary diagnosis of PAIS were included. Descriptive statistics, linear-by-linear association test, and logistic regression models were utilized to analyze differences in demographics, comorbidities, and their impact on mortality in PAIS inpatients by CV and HEM risk factors. Results The cumulative in-hospital mortality rate in the entire PAIS inpatient cohort was 3.6%. The mortality rate was higher in the CV cohort (57.4%) as compared to the HEM cohort (29.7%). When compared with the cohort with no risk factors, HEM and CV were associated with four times (95% CI: 2.36-8.03) and seven (95% CI: 4.03-12.61) times higher odds for in-hospital mortality respectively. CV risk factors like cardiomyopathy and diabetes, and HEM risk factors like blood disorders, coagulation disorders, and deficiency anemias were associated with a significantly increased risk of in-hospital mortality. Conclusion The in-hospital mortality risk in PAIS patients was increased by 613% by CV risk factors and by 336% by HEM risk factors. Early identification and effective management of associated CV and HEM risk factors in the PAIS patient population can pave the way for increased survival and improved clinical outcomes.

Objectives 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. Methods 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. Results 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. Conclusion 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.