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.

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 (

We aim to discern the demographic predictors that may extend the hospitalization length of stay (LOS) for patients with bipolar disorder (BD), manic episodes managed with electroconvulsive therapy (ECT), and to study the impact of insurance and hospital characteristics on LOS. Methods We used the Nationwide Inpatient Sample (NIS, 2012-2014) from the United States hospitals and included 2,785 adult inpatients (mean age 51.3 ± 16.2 years) with a primary diagnosis of BD, manic episode, and managed with ECT. The median LOS of the sample population is 16 days, and the study inpatients were divided into subgroups: ≤16 days versus >16 days. The logistic regression model was used to find the odds ratio (OR) for the associations of demographic and hospital variables with inpatient stay >16 days versus ≤16 days. Results BD inpatients managed with ECT during their hospitalization had a mean LOS of 21.6 ± 22.1 days. About 48.65% (N = 1355) had LOS >16 days. Older adults (age >50 years) have 2.4 times higher odds (95% CI 2.06-2.87) for hospital LOS >16 days compared to younger adults. Although a higher proportion of females received ECT (71.8%), males had two times higher odds (95% CI 1.59-2.27) for hospital LOS >16 days. BD inpatients covered by private insurance/self-pay were at 1.5 times higher odds (95% CI 1.27-1.77) for hospital LOS >16 days. In terms of hospital setting, ownership type and teaching status are significant predictors with inpatients managed in public and teaching hospitals at higher odds for LOS >16 days. Conclusions Older men and inpatients covered by private insurance/self-pay have a higher likelihood of extended hospitalization stay during ECT management of BD, manic episodes. The LOS is also influenced by hospital setting with patients managed in public teaching hospitals at higher odds of longer LOS compared to their counterparts.

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