No abstract

The aim of this study was to evaluate the odds of association between suicidal behaviors and comorbid anxiety disorders in adolescents with major depressive disorder (MDD). Methods We included 122,020 adolescent inpatients with MDD from the Nationwide Inpatient Sample (NIS) and further grouped them by co-diagnosis of anxiety disorders. Logistic regression analysis was used to evaluate the odds ratio (OR) of suicidal behaviors due to comorbid anxiety disorders. Results Out of total MDD inpatients, 45.8% had comorbid anxiety disorders. Around 53.5% MDD inpatients with anxiety disorders had suicidal behaviors, which were significantly higher than seen in 52.6% non-anxiety cohort (P = 0.002). Comorbid anxiety disorders had a minimally positive association with suicidal behaviors and were not statistically significant (OR: 1.01; P = 0.710) after controlling the logistic regression analysis for demographic confounders and psychiatric comorbidities. MDD inpatients with comorbid psychotic disorders were positively associated (OR: 1.16; P = 0.007) with suicidal behaviors. Conclusions MDD with comorbid anxiety had a statistically non-significant association with suicidal behaviors in adolescents. Depression has a direct and independent effect on adolescent suicidal behaviors, whereas anxiety has a direct effect only on perpetuating depression. Early diagnosis and management of comorbid anxiety and psychosis with MDD reduce functional impairment and suicide risk in at-risk populations.

Basith et al. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

To explore the demographic patterns of hospitalizations related to prescription opioid overdose (POD) and evaluate the mortality risk of association in POD inpatients. MethodologyWe conducted a cross-sectional study using the Nationwide Inpatient Sample of 184,711 POD inpatients. A binomial logistic regression model was used to evaluate the odds ratio (OR) of association for mortality risk due to comorbidities (substance use disorders (SUD) and medical complications) in POD inpatients. ResultsPOD inpatients were majorly females (54.1%), older adults aged 51-75 years (48.5%), whites (81.5%), and from lower household income quartet (32.8%). The most prevalent comorbid SUD among POD inpatients was alcohol (15.7%), followed by cannabis (5.7%), cocaine (4.2%), and amphetamine (1.8%). Comorbid alcohol use disorders had a minimally increased association with mortality but were not statistically significant (OR = 1.036; P = 0.438). POD in patients with cardiac arrest had the highest risk of mortality (OR = 103.423; P < 0.001), followed by shock (OR = 15.367; P < 0.001), coma (OR = 13.427; P < 0.001), and respiratory failure (OR = 12.051; P < 0.001). ConclusionsOur study indicates that the hospitalizations related to POD were more prevalent among females, elders between 51 and 75 years of age, whites, and those in the lower household income quartet. The prevalence of prescription opioid use and the hospitalization related to POD remains a significant public health issue. POD inpatients with medical complications were at a higher risk of mortality than with comorbid SUD.

The primary goal of our study is to evaluate the mortality rate in inpatient recipients of multivessel percutaneous coronary intervention (MVPCI) and to evaluate the demographic risk factors and medical complications that increase the risk of in-hospital mortality. MethodsWe conducted a cross-sectional study using the Nationwide Inpatient Sample (NIS, 2016) and included 127,145 inpatients who received MVPCI as a primary procedure in United States' hospitals. We used a multivariable logistic regression model adjusted for demographic confounders to measure the odds ratio (OR) of association of medical complications and in-hospital mortality risk in MVPCI recipients. ResultsThe in-hospital mortality rate was 2% in MVPCI recipients and was seen majorly in older-age adults (>64 years, 74%) and males (61%). Even though the prevalence of mortality among females was comparatively low, yet in the regression model, they were at a higher risk for in-hospital mortality than males (OR 1.2; 95% CI 1.13-1.37). While comparing ethnicities, in-hospital mortality was prevalent in whites (79%) followed by blacks (9%) and Hispanics (7.5%). Patients who developed cardiogenic shock were at higher odds of inhospital mortality (OR 9.2; 95% CI 8.27-10.24) followed by respiratory failure (OR 5.9; 95% CI 5.39-6.64) and ventricular fibrillation (OR 3.5;. ConclusionAccelerated use of MVPCI made it important to study in-hospital mortality risk factors allowing us to devise strategies to improve the utilization and improve the quality of life of these at-risk patients. Despite its effectiveness and comparatively lower mortality profile, aggressive usage of MVPCI is restricted due to the periprocedural complications and morbidity profile of the patients.