Hospitalization risk factors in antipsychotic-treated schizophrenia, bipolar I disorder or major depressive disorder

The impact of comorbid severe mental illness and common chronic physical health conditions on hospitalisation: A systematic review and meta-analysis

Background

People with severe mental illness (SMI) are at higher risk of physical health conditions compared to the general population, however, the impact of specific underlying health conditions on the use of secondary care by people with SMI is unknown. We investigated hospital use in people managed in the community with SMI and five common physical long-term conditions: cardiovascular diseases, COPD, cancers, diabetes and liver disease.

Methods

We performed a systematic review and meta-analysis (Prospero: CRD42020176251) using terms for SMI, physical health conditions and hospitalisation. We included observational studies in adults under the age of 75 with a diagnosis of SMI who were managed in the community and had one of the physical conditions of interest. The primary outcomes were hospital use for all causes, physical health causes and related to the physical condition under study. We performed random-effects meta-analyses, stratified by physical condition.

Results

We identified 5,129 studies, of which 50 were included: focusing on diabetes (n = 21), cardiovascular disease (n = 19), COPD (n = 4), cancer (n = 3), liver disease (n = 1), and multiple physical health conditions (n = 2). The pooled odds ratio (pOR) of any hospital use in patients with diabetes and SMI was 1.28 (95%CI:1.15–1.44) compared to patients with diabetes alone and pooled hazard ratio was 1.19 (95%CI:1.08–1.31). The risk of 30-day readmissions was raised in patients with SMI and diabetes (pOR: 1.18, 95%CI:1.08–1.29), SMI and cardiovascular disease (pOR: 1.27, 95%CI:1.06–1.53) and SMI and COPD (pOR:1.18, 95%CI: 1.14–1.22) compared to patients with those conditions but no SMI.

Conclusion

People with SMI and five physical conditions are at higher risk of hospitalisation compared to people with that physical condition alone. Further research is warranted into the combined effects of SMI and physical conditions on longer-term hospital use to better target interventions aimed at reducing inappropriate hospital use and improving disease management and outcomes.

Comparative Safety Signal Assessment of Hospitalization Associated With the Use of Atypical Antipsychotics

Background

Persons with symptoms of psychosis receiving treatment with atypical antipsychotics (AAPs) can experience serious adverse events (AEs) requiring admission to the hospital. The comparative likelihood of AE-related hospitalization following the use of all AAPs has not been fully characterized. Therefore, we evaluated the safety signals of hospitalizations associated with the use of AAPs.

Methods

We conducted a cross-sectional analysis using the FDA Adverse Event Reporting System (FAERS) database (from January 1, 2004, to December 31, 2021) to examine disproportionality in reporting hospitalizations suspected to be associated with 12 AAPs (aripiprazole, asenapine, brexpiprazole, clozapine, iloperidone, lurasidone, olanzapine, paliperidone, and pimavanserin, quetiapine, risperidone, and ziprasidone). Hospitalization in the FAERs database is an outcome that is recorded as a result of an AE occurring at any drug dose. We estimated reporting odds ratios (RORs) by comparing the odds of hospitalization occurring with a particular AAP to the odds of its occurrence with other drugs. In addition, we considered the presence of a significant safety signal when the lower limit of the 95% confidence interval (CI) of the ROR is >1.

Results

A total of 204,287 cases of hospitalizations were reported to the FDA for individuals treated with AAPs. There were significant safety signals of hospitalization associated with using clozapine (ROR, 2.88; 95% CI, 2.84-2.92), olanzapine (ROR, 2.61; 95% CI, 2.57-2.64), quetiapine (ROR, 1.87; 95% CI, 1.85-1.89), risperidone (ROR, 1.41; 95% CI, 1.39-1.43), aripiprazole (ROR, 1.34; 95% CI, 1.32-1.35), and ziprasidone (ROR, 1.14; 95% CI, 1.10-1.18). However, no hospitalization-related safety signals were observed with the use of paliperidone, pimavanserin, iloperidone, asenapine, lurasidone, and brexpiprazole. The ROR estimates were numerically higher among older adults than younger adults.

Conclusions

This cross-sectional assessment of data from FAERs (2004-2021) suggested that users of clozapine, olanzapine, quetiapine, risperidone, aripiprazole, and ziprasidone were more likely to report being hospitalized than users of other AAPs. Given that the FAERs database only contains spontaneous reports of AEs experienced by persons exposed to a drug but without information on exposed persons who did not have an event, a cohort study comparing hospitalizations among new users of individual AAPs against each other is needed to delineate these safety signals further.

Impaired long-term outcomes of patients with schizophrenia spectrum disorder after coronary artery bypass surgery: nationwide case-control study

BACKGROUND

Patients with schizophrenia spectrum disorder have increased risk of coronary artery disease.

AIMS

To investigate long-term outcomes of patients with schizophrenia spectrum disorder and coronary artery disease after coronary artery bypass grafting surgery (CABG).

METHOD

Data from patients with schizophrenia spectrum disorder (n = 126) were retrospectively compared with propensity-matched (1:20) control patients without schizophrenia spectrum disorder (n = 2520) in a multicentre study in Finland. All patients were treated with CABG. The median follow-up was 7.1 years. The primary outcome was all-cause mortality.

RESULTS

Patients with diagnosed schizophrenia spectrum disorder had an elevated risk of 10-year mortality after CABG, compared with control patients (42.7 v. 30.3%; hazard ratio 1.56; 95% CI 1.13-2.17; P = 0.008). Schizophrenia spectrum diagnosis was associated with a higher risk of major adverse cardiovascular events during follow-up (49.9 v. 32.6%, subdistribution hazard ratio 1.59; 95% CI 1.18-2.15; P = 0.003). Myocardial infarction (subdistribution hazard ratio 1.86; P = 0.003) and cardiovascular mortality (subdistribution hazard ratio 1.65; P = 0.017) were more frequent in patients with versus those without schizophrenia spectrum disorder, but there was no difference for stroke. Psychiatric ward admission, antipsychotic medication, antidepressant use and benzodiazepine use before CABG were not associated with outcome differences. After CABG, patients with schizophrenia spectrum disorder received statin therapy less often and had lower doses; the use of other cardiovascular medications was similar between schizophrenia spectrum and control groups.

CONCLUSIONS

Patients with schizophrenia spectrum disorder have higher long-term risks of death and major adverse cardiovascular events after CABG. The results underline the vulnerability of these patients and highlight the importance of intensive secondary prevention and risk factor optimisation.

Hospitalization risk among adults with bipolar I disorder treated with lurasidone versus other oral atypical antipsychotics: a retrospective analysis of Medicaid claims data

OBJECTIVE

To compare the risk of hospitalization for adult Medicaid beneficiaries with bipolar I disorder treated with lurasidone vs. other oral atypical antipsychotics (AAPs) as monotherapy.

METHODS

A retrospective cohort study of the IBM MarketScan Multi-State Medicaid Claims database identified adults with bipolar I disorder who initiated an AAP (index date) between 1 January 2014 and 30 June 2019. Patients were continuously enrolled 12 months pre- and 24 months post-index date. Each month during the post-index period was categorized as monotherapy with lurasidone, aripiprazole, olanzapine, quetiapine or risperidone, no/minimal treatment, or other. Marginal structural models were performed to estimate hospitalization risk and length of stay (LOS) (all-cause and bipolar I disorder-related) compared to lurasidone.

RESULTS

The analysis included 8262 adults. Compared to lurasidone, the adjusted odds ratios (aORs) of all-cause hospitalization were significantly higher for olanzapine (aOR = 1.60, 95% CI = 1.09-2.10) and quetiapine (aOR = 1.54, 95% CI = 1.18-1.89). The risk was significantly higher for bipolar I disorder-related hospitalization for quetiapine (aOR = 1.57, 95% CI = 1.10-2.04) and risperidone (aOR = 1.80, 95% CI = 1.04-2.56) compared to lurasidone. The bipolar I disorder-related LOS per 100 patient-months was more than twice as long for quetiapine (8.42 days) compared to lurasidone (3.97 days, p < .01).

CONCLUSIONS

Lurasidone-treated adult Medicaid patients with bipolar I disorder had significantly lower risk of all-cause hospitalization than those treated with olanzapine and quetiapine and lower risk of bipolar I disorder-related hospitalization than quetiapine and risperidone. Bipolar I disorder-related hospital LOS was significantly shorter for patients treated with lurasidone compared to quetiapine.

Hospitalization Risk for Adults with Bipolar I Disorder Treated with Oral Atypical Antipsychotics as Adjunctive Therapy with Mood Stabilizers: A Retrospective Analysis of Medicaid Claims Data

Background: Atypical antipsychotics (AAPs) with mood stabilizers are recommended as a first-line treatment for patients with bipolar disorder. No studies have compared the inpatient health care resource utilization for patients with bipolar disorder treated with lurasidone as adjunctive therapy with mood stabilizers compared with other oral AAPs. Objective: To compare the risk of hospitalization for adult Medicaid beneficiaries with bipolar I disorder when treated with lurasidone compared with other oral AAPs as adjunctive therapy with mood stabilizers. Methods: This retrospective cohort study used the MarketScan Research Databases Multi-State Medicaid Database (IBM, Armonk, NY) claims data to assess patients with bipolar I disorder between January 1, 2014, and June 30, 2019. Adult patients who initiated oral AAP treatment with mood stabilizers (index date) and who were continuously enrolled 12 months before (pre-index) and 24 months after (post-index) the index date were included. Treatment categories assigned by patient-month included lurasidone, aripiprazole, olanzapine, quetiapine, risperidone, or ziprasidone with mood stabilizers; no/minimal treatment; AAP monotherapy; and other. Marginal structural models were performed to estimate the all-cause and psychiatric hospitalization rates and hospital length of stay associated with each adjunctive AAP therapy by controlling for both time-invariant and time-varying confounders. Results: Adults with bipolar I disorder (N = 11,426; mean age = 39.4 years; female=73%) treated with an adjunctive oral AAP with mood stabilizers during the index month were categorized into lurasidone (12%), aripiprazole (17%), olanzapine (7%), quetiapine (32%), risperidone (11%), ziprasidone (7%), or other (15%) treatment groups. The adjusted odds of all-cause and psychiatric hospitalization were significantly higher for olanzapine (all causes: adjusted odds ratio [aOR] = 1.59; 95% CI, 1.13-2.25; psychiatric: aOR = 1.61, 95% CI, 1.12-2.32), quetiapine (all-causes: aOR = 1.27, 95% CI, 1.01-1.58; psychiatric: aOR = 1.28, 95% CI, 1.02-1.59), and ziprasidone (all-causes: aOR = 1.68, 95% CI, 1.05-2.66; psychiatric: aOR = 1.55, 95% CI, 1.02-2.35) compared with lurasidone with mood stabilizers. The adjusted odds of all-cause and psychiatric hospitalizations were numerically lower for lurasidone compared with aripiprazole. The all-cause hospital length of stay per 100 patient-months was significantly higher for olanzapine (20.3 days) and quetiapine (16.0 days) compared with lurasidone (12.2 days, both P values < 0.05). Conclusions: In a Medicaid population, adults with bipolar I disorder treated with lurasidone as adjunctive therapy with mood stabilizers had significantly lower all-cause and psychiatric hospitalization rates compared with olanzapine, quetiapine, and ziprasidone. Fewer hospitalizations may reduce the economic burden associated with bipolar disorder. (Curr Ther Res Clin Exp. 2021; 82:XXX-XXX).

Predictors of 1-year rehospitalization in inpatients with bipolar I disorder treated with atypical antipsychotics

Bipolar disorder (BPD) is debilitating disorder, and patients can experience multiple relapses and subsequent hospitalizations. Since pharmacotherapy is the mainstay of treatment for patients with BPD, investigations on the effects of atypical antipsychotics (AAP) on reducing rehospitalization risk are crucial. The objective of study is to explore predictors of 1-year rehospitalization in patients with bipolar I disorder treated with AAP. A retrospective chart review on inpatients with bipolar I disorder was conducted. All participants were followed up for 1 year, and they were subdivided into three AAP treatment groups (olanzapine, risperidone, and quetiapine group). Kaplan-Meier survival analysis was implemented to detect time to rehospitalization due to any mood episodes within 1 year after discharge. Cox proportional regression model was adopted to find predictors of 1-year hospitalization in patients who experienced rehospitalization. One hundred thirty-eight participants were included in the study, and a 1-year rehospitalization rate was 18.1%. Time to rehospitalization did not differ between three AAP treatment groups. Predictors of rehospitalization due to any episode within 1 year were family history of depression and number of previous admission. Our findings can be conducive to understanding prognosis, and predicting rehospitalization risk in patients with BPD on AAP.

Comorbidity Profiles of Psychotic Patients in Emergency Psychiatry

Objectives: Individuals with psychotic symptoms presenting to emergency psychiatry often have comorbid symptoms, such as substance misuse, depression, and anxiety. Many will also have symptoms linked to previous traumatic experiences such as impulsivity, often found in comorbid personality disorders. Although various studies have looked at specific comorbid symptoms, little is known regarding how these symptoms co-exist in individuals with psychotic symptoms and their link with social functioning. The primary objective of the present study was to identify comorbidity profiles among individuals seeking emergency room services for psychotic symptoms. The secondary objective was to investigate the relationship between comorbid symptoms and social functioning deficits in this same population. Methods: Data from 546 individuals seeking psychiatric help for psychotic symptoms was collected within the Signature Project (large data bank) in a psychiatric emergency. Participants answered brief measures of symptoms of alcohol/substance misuse (AUDIT, DAST), depression (PHQ-9), anxiety (STAI-6), childhood trauma (CEVQ), impulsivity (UPPS) and social functioning deficits (WHODAS). For this study, symptom measures and social functioning at baseline were used. Results: Cluster analyses conducted using three different methods revealed a consensus of five classes of comorbid presentations. Class 1 (n = 90) grouped people who had a high score for childhood trauma, with fairly high scores for anxiety and depression. Class 2 (n = 176) included people with mostly psychotic symptoms with little comorbid presentation across other measures. Class 3 (n = 81) grouped people with the highest anxiety and depression scores as well as high drug use and impulsivity. Individuals in Class 4 (n = 87) had the highest scores on alcohol and substance abuse, as well as high impulsivity. Class 5 (n = 112) grouped people with very low anxiety and depression scores but average trauma, alcohol, and substance misuse scores. Linear regressions revealed an association between social functioning, and depression, anxiety, and childhood trauma. Conclusions: Comorbid presentations of individuals with psychosis are frequent and diverse. Depression and anxiety, in particular, worsen social functioning deficits in people with psychotic symptoms. Given their impact on functioning, psychiatric treatments should address these comorbidities during hospitalization, as well as when followed in the community.