Pediatric anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis: Exploring psychosis, related risk factors, and hospital outcomes in a nationwide inpatient sample: A cross-sectional study

OBJECTIVE

Our study aims to examine the risk factors for comorbid psychosis in pediatric patients hospitalized for anti-N-methyl-d-aspartate receptor (NMDAR) encephalitis and its impact on hospital outcomes.

METHODS

We conducted a cross-sectional study using the nationwide inpatient sample (NIS 2018-2019). We included 3,405 pediatric inpatients (age 6-17 years) with a primary discharge diagnosis of anti-NMDAR encephalitis. We used binomial logistic regression model to evaluate the odds ratio (OR) of variables (demographic and comorbidities) associated with comorbid psychosis.

RESULTS

The prevalence of comorbid psychosis in anti-NMDAR encephalitis inpatients was 5.3%, and majorly constituted of adolescents (72.2%) and females (58.3%). In terms of race, Blacks (OR 2.41), and Hispanics (OR 1.80) had a higher risk of comorbid psychosis compared to Whites. Among comorbidities, encephalitis inpatients with depressive disorders (OR 4.60), sleep-wake disorders (OR 3.16), anxiety disorders (OR 2.11), neurodevelopmental disorders (OR 1.95), and disruptive behavior disorders (OR 2.15) had a higher risk of comorbid psychosis. Anti-NMDAR encephalitis inpatients with comorbid psychosis had a longer median length of stay at 24.6 days (vs. 9.8 days) and higher median charges at $262,796 (vs. $135,323) compared to those without psychotic presentation.

CONCLUSION

Adolescents, females, and Blacks with encephalitis have a higher risk of psychotic presentation leading to hospitalization for anti-NMDAR encephalitis. Identification of demographic predictors and comorbidities can aid in early recognition and intervention to optimize care and potentially reduce the healthcare burden.

Exploring the relationship between vitamin D deficiency and comorbid heart disease in Americans with mood disorders: a cross-sectional nationwide study

Objective

This study aimed to explore the relationship between vitamin D deficiency and comorbid heart disease in adult inpatients with mood disorders (depressive and bipolar disorders).

Methods

A cross-sectional investigation was carried out employing the nationwide inpatient dataset, which encompassed 910,561 adult inpatients aged 18 to 50 years diagnosed with depressive and bipolar disorders. Additionally, the sample was categorized based on the presence of comorbid heart disease. We utilized a logistic regression model to assess the odds ratio (OR), pertaining to demographic features and coexisting medical conditions in relation to comorbid heart disease.

Results

Comorbid heart disease was present in 1.3% of inpatients with mood disorders; they were middle-aged (mean age 42.7 years) men and White individuals. Inpatients with depressive disorder had a higher risk of comorbid heart disease (OR 1.19, 95% CI 1.15-1.24) compared to those with bipolar disorders. Inpatients with comorbid heart disease had a higher prevalence of medical and psychiatric comorbidities. The prevalence of vitamin D deficiency was 2.3% in mood disorders but higher in those with comorbid heart disease (2.9%). Vitamin D deficiency showed a notable correlation with comorbid heart disease, resulting in a 26% increased risk in the unadjusted regression model (OR 1.26, 95% CI 1.13-1.40). However, after accounting for potential confounding factors, including comorbidities, the risk did not exhibit statistical significance (OR 1.08, 95% CI 0.97-1.21). Among psychiatric comorbidities, trauma-related (OR 1.22, 95% CI 1.17-1.28) and tobacco-related (OR 1.31, 95% CI 1.26-1.37) disorders had a higher risk of association with comorbid heart disease.

Conclusion

Middle-aged men with depressive disorders and from low-income families had a higher risk of developing comorbid heart disease. Trauma-related and tobacco-related disorders were associated with an increased risk by 20-30% for comorbid heart disease in inpatients with mood disorders. Vitamin D deficiency was not associated with the risk of comorbid heart disease after controlling demographics and comorbid cardiovascular risk factors.

Examining Risk Factors for Suicidality in Adolescents and Adults Experiencing Their First Episode of Psychosis

This narrative review aimed to identify the risk factors associated with suicidality in adolescents and adults with first-episode psychosis. The review included studies that examined various factors such as psychiatric, familial, and social factors, as well as previous self-harm, suicidal ideation, and comorbid mental health disorders. A comprehensive literature search was conducted across three publicly available databases (Embase, American Psychological Association PsycINFO, and PubMed) using specific search terms related to first-episode psychosis, suicide, self-harm, and children/adolescents and adults. The inclusion criteria included original articles focusing on prospective and retrospective cohort trials, with substantial data on first-episode psychosis and self-harm, measuring both suicidal intent and outcome. Non-original studies, case reports, case series, non-English-language publications, and studies examining violence and self-harm related to substance-induced psychosis were excluded. After manual screening and removing duplicate articles, 13 articles met the established criteria for inclusion in this review. Included studies adhered to similar inclusion and exclusion criteria, had long-term follow-up, and assessed outcomes at least twice. The findings suggest that depressive symptoms, substance use disorders, previous self-harm or suicidal ideation, and longer duration of untreated psychosis are associated with an increased risk of suicidality. However, insights into psychosis and premorbid intellectual functioning did not show a direct association with suicidality.

Psychiatric Comorbidities and Risk of Somatic Symptom Disorders in Posttraumatic Stress Disorder: A Cross-Sectional Inpatient Study

ABSTRACT

Nearly 90% of Americans are exposed to a traumatic event at some point in their lives, and over 8% of those individuals will develop posttraumatic stress disorder (PTSD). Our study examined the demographic differences and psychiatric comorbidities in inpatients with PTSD with and without somatic symptom disorders (SSDs), using data from the Nationwide Inpatient Sample for 2018 and 2019. Our sample included 12,760 adult patients with a primary diagnosis of PTSD, which was further subdivided based on a codiagnosis of SSD. We used a logistic regression model to determine the odds ratio (OR) of association for SSD and identify demographic predictors and comorbid risk factors in inpatients with PTSD. The prevalence of SSD in inpatients with PTSD was 0.43%, and it was more commonly seen in women and Caucasians. Personality disorders (OR, 5.55; p < 0.001) and anxiety disorders (OR, 1.93; p = 0.018) were found to increase the likelihood of codiagnoses of SSD in inpatients with PTSD. These findings support the need for a systematic, modular approach that includes evidence-based interventions to treat at-risk populations.

Gender Dysphoria in Pediatric and Transitional-Aged Youth Hospitalized for Suicidal Behaviors: A Cross-National Inpatient Study

Objective: Our study aims to demarcate the sociodemographic differences in pediatric patients hospitalized for suicidal behaviors and struggling with gender dysphoria. Additionally, we evaluated the demographic factors and comorbidities that are predictive of gender dysphoria in patients with suicidal behaviors.

Methods: We included 319,430 patients (aged 6-24 years) with suicidal behaviors and a primary psychiatric diagnosis (per ICD-10 criteria) of mood disorders (depressive disorders, 75.3%; bipolar disorders, 15.9%; and other mood disorders, 8.8%) from the Nationwide Inpatient Sample (2018-2019). We compared the distributions of categorical variables using the Pearson χ² test and continuous variables using an independent-samples t test in inpatients without versus with gender dysphoria. We used a logistic regression model to calculate the odds ratio (OR) to assess the demographic and comorbid characteristics of gender dysphoria with suicidal behaviors.

Results: The prevalence of codiagnosis of gender dysphoria in inpatients hospitalized for suicidal behaviors was 1.5%. Gender dysphoria was seen in a higher proportion of adolescents (68.2%), females (73.6%), those from high-income families (51.7%), and those from metropolitan counties (88.8%). The prevalent psychiatric comorbidities in inpatients with gender dysphoria included anxiety disorders (63.6%), posttraumatic stress disorder (PTSD; 28.2%), and neurodevelopmental disorders (27.4%). Comorbidities including somatic disorders (OR = 2.30), eating disorders (OR = 1.95), obsessive-compulsive disorder (OR = 1.71), anxiety disorders (OR = 1.59), PTSD (OR = 1.32), and neurodevelopmental disorders (OR = 1.17) increased the likelihood of codiagnoses of gender dysphoria.

Conclusions: There exists a high prevalence of psychiatric comorbidities in those with gender dysphoria and hospitalized for suicidal behavior. Our findings call for prompt evaluations of comorbidities of suicidal behaviors among adolescents and youth with gender dysphoria to provide a coordinated approach to suicide prevention, thereby reducing the future risk of poor health outcomes and mortality.

Relationship Between Cerebrovascular Diseases and Vasculitis: A Cross-Sectional Nationwide Inpatient Study

Objectives

To evaluate the risk factors and hospitalization outcomes for cerebrovascular diseases (CVD) in patients with vasculitis.

Methods

We conducted a cross-sectional study using the Nationwide Inpatient Sample (NIS), 2019. We included 26,855 adults (aged 18 to 65 years, average age 48.57 ± 12.79 years) with a co-diagnosis of vasculitis, and the sample was divided by the primary diagnosis of CVD (N = 670, 2.5%). A demographic-adjusted logistic regression model was used to evaluate the odds ratio (OR) of association with CVD in patients with vasculitis by comparing it to the non-CVD cohort.

Results

The majority of the vasculitis patients with CVD were elders (51 to 65 years, 46%), females (62%), and whites (52%). There was a significant difference in the geographic distribution of CVD with vasculitis with the highest prevalence in the South Atlantic (23%) and Middle Atlantic (16%), and the lowest in the Mountain (4%) and New England (2%). Vasculitis patients with comorbid lymphoma (OR 2.46, P<0.001), peripheral vascular diseases (PVD (OR 1.54, P<0.001)), and complicated hypertension (OR 1.31, P<0.001) were associated with increasing the likelihood for CVD-related hospitalization. The mean length of stay was 13 days and the mean cost was $169,440 per CVD-related hospitalization in vasculitis patients. Cerebrovascular diseases in patients with vasculitis resulted in a major loss of body functioning (80%) leading to adverse disposition including transfer to a skilled nursing facility/intermediate care facility (22%) and requiring home health care (13%).

Conclusion

The prevalence of CVD-related hospitalization in vasculitis patients was 2.5% and females were observed to be at higher risk. Comorbid lymphoma, PVD, and hypertension further increase the risk for CVD with vasculitis. They have a higher loss of functioning that affects patient quality of life and require increased care after hospital discharge.

Retinal Artery Occlusion and Associated Risk of Cerebrovascular Disease Related Hospitalization: A National Inpatient Study

Objectives

To evaluate the demographic and comorbid risk factors for cerebrovascular disease (CVD) hospitalization in patients with retinal artery occlusion (RAO) and study the impact on hospitalization outcomes.

Methods

We conducted a retrospective cross-sectional study using the Nationwide Inpatient Sample (NIS, 2019). We included 62,255 adults (age 18-65 years) with the primary diagnosis of CVD. The study sample was divided by the co-diagnosis of RAO (N=1,700). A logistic regression model was used to evaluate the odds ratio (OR) of association for risk factors leading to CVD hospitalization in patients with RAO, with the non-RAO cohort as the reference category.

Results

The majority of the CVD patients with RAO were elderly (51-65 years, 68%), females (54%), and whites (47%). Yet, demographics did not significantly impact the association with CVD hospitalization between RAO and non-RAO patients. There was a significant difference in the geographic distribution of CVD hospitalizations with RAO, with the highest prevalence in the East North Central Atlantic (21%) and South Atlantic (18%) regions, and the lowest in the Mountain (4%) and East South Central (4%) regions. Comorbid diabetes with complications (69%), and complicated hypertension (55%) were most prevalent in patients with RAO thereby increasing the risk for CVD hospitalization by 7.8 (95% CI 6.9-8.8) and 1.8 times (95% CI 1.6-1.9), respectively. Patients with RAO and having major severity of illness were at increased risk of CVD hospitalization (OR 2.8, 95% CI 1.9-3.9). Patients with RAO had a significant difference in adverse disposition, including transfer to the skilled nursing facility (SNF)/intermediate care facility (ICF) (32% vs. 24%) and requiring home health care (16% vs. 11%) compared to non-RAO patients.

Conclusion

The prevalence of RAO in CVD hospitalization was 2.7%, and demographics did not have any impact on the increasing risk of CVD. Comorbid diabetes (by 685%) and hypertension (by 78%) potentially increase the risk of CVD hospitalization in patients with RAO. These patients have a major severity of illness, leading to an adverse disposition. This calls for a collaborative care model to improve the quality of life in these at-risk patients with RAO.

Cardiometabolic Comorbidity Risk in Pediatric Patients With Psychiatric Illnesses: A Case-Control Inpatient Study

Objectives

To delineate the differences in the cardiometabolic comorbidities in pediatric patients with medical versus psychiatric illnesses and to determine the risk of association between the spectrum of cardiometabolic comorbidities in pediatric patients with a broad range of psychiatric illnesses.

Methods

We conducted a case-control study using the nationwide inpatient sample (NIS), the largest hospital database in the United States (US) and included 179,550 pediatric patients (age 10-18 years) that were hospitalized with a primary diagnosis of psychiatric illness (N = 89,775) and pediatric patients that were hospitalized with a primary diagnosis of medical illness (N = 89,775). We used descriptive statistics and Pearson’s chi-square test to delineate the differences between pediatric inpatients with medical versus psychiatric illnesses.

Results

The majority of pediatric patients with psychiatric illnesses were females (58%) and white (62%), with a mean age of 15 years. Cardiometabolic comorbidities were higher in patients admitted for psychiatric illness, with a higher prevalence of hypothyroidism (1.6%) and obesity (7.1%) than in those hospitalized for medical illnesses. Among all cardiometabolic comorbidities, obesity had the highest prevalence across all psychiatric illnesses, measuring eight percent in patients with disruptive behavior disorders, followed by seven percent each in anxiety, mood, and psychotic disorders. Diabetes had the lowest prevalence hovering between one and two percent for a spectrum of psychiatric illnesses.

Conclusion

The prevalence of cardiometabolic comorbidities is higher in pediatric inpatients with psychiatric illnesses. This calls for timely monitoring of the routine labs and early diagnosis and management of the cardiometabolic comorbidities in this at-risk population.

Predictors of Hospitalization for Manic Episode in Alzheimer's Dementia: Inputs From an Inpatient Case-Control Study

Objectives The correlates of manic episodes in dementia have not been systematically studied. The primary goal of our study is to compare the sociodemographic characteristics and psychiatric comorbidities in Alzheimer's dementia (AD) inpatients with manic episodes versus without manic episodes, and to evaluate the demographic predictors and risk factors for manic episodes in AD inpatients. Methods We conducted a case-control study using the Nationwide Inpatient Sample of 34,285 AD patients (age ≥60 years). Subsequently, the cases i.e., AD inpatients with a manic episode (N = 1,035) and the controls (without a manic episode, N = 1,035), were extracted using propensity-score matching based on age. The cases did not have a past psychiatric history of bipolar disorders. We used the logistic regression model to evaluate the odds ratio (OR) of association between pre-existing psychiatric comorbidities and manic episodes and evaluate the demographic predictors of manic episodes in AD inpatients. Results A higher proportion of AD inpatients with manic episodes were females (63.8%), whites (85.2%), and from low-income families below the 50th percentile (63%). Females were more likely to be hospitalized for manic episodes (OR 1.33; 95% CI 1.09-1.64) than males. AD inpatients with manic episodes had a higher risk of presenting with suicidal behaviors (OR 1.88; 95% CI 1.23-2.86). A significantly higher proportion of AD inpatients with manic episodes had comorbid tobacco use (5.3% vs. 3.4%) and cannabis use (1.4% vs. 0%) compared to those without manic episodes. Conclusion Females with AD had a greater risk of being hospitalized for manic episodes. These patients have an 88% higher risk of suicidal behaviors during the manic presentation and have comorbid tobacco and cannabis use. Early diagnosis and management of manic episodes in at-risk AD patients are important to improve the quality of life (QoL) and outcomes.