Predictors of rehospitalization in a naturalistic cohort of patients with bipolar affective disorder

Clinical, sociodemographic and environmental predicting factors for relapse in bipolar disorder: A systematic review

INTRODUCTION

Bipolar disorder (BD) is a chronic and recurrent illness characterized by manic, mixed or depressive episodes, alternated with periods of euthymia. Several prognostic factors are associated with higher rates of relapse, which is crucial for the identification of high-risk individuals. This study aimed at systematically reviewing the existing literature regarding the impact of sociodemographic, clinical and environmental factors, in clinical relapses, recurrences and hospitalizations due to mood episodes in BD.

METHODS

A systematic search of electronic databases (PubMed, Cochrane library and Web of Science) was conducted to integrate current evidence about the impact of specific risk factors in these outcomes.

RESULTS

Fifty-eight articles met the inclusion criteria. Studies were grouped by the type of factors assessed. Family and personal psychiatric history, more severe previous episodes, earlier age of onset, and history of rapid cycling are associated with clinical relapses, along with lower global functioning and cognitive impairments. Unemployment, low educational status, poorer social adjustment and life events are also associated with higher frequency of episodes, and cannabis with a higher likelihood for rehospitalization.

LIMITATIONS

Small sample sizes, absence of randomized clinical trials, diverse follow-up periods, lack of control for some confounding factors, heterogeneous study designs and diverse clinical outcomes.

CONCLUSIONS

Although current evidence remains controversial, several factors have been associated with an impaired prognosis, which might allow clinicians to identify patients at higher risk for adverse clinical outcomes and find modifiable factors. Further research is needed to elucidate the impact of each risk factor in the mentioned outcomes.

Effect of prior depression diagnosis on bipolar disorder outcomes: A retrospective cohort study using a medical claims database

BACKGROUND

Bipolar disorder often emerges from depressive episodes and is initially diagnosed as depression. This study aimed to explore the effects of a prior depression diagnosis on outcomes in patients diagnosed with bipolar disorder.

METHODS

This cohort study analyzed data of patients aged 18-64 years who received a new bipolar disorder diagnosis in Japan, using medical claims data from January 2005 to October 2020 provided by JMDC, Inc. The index month was defined as the time of the bipolar diagnosis. The study assessed the incidence of psychiatric hospitalization, all-cause hospitalization, and mortality, stratified by the presence of a preceding depression diagnosis and its duration (≥1 or <1 year). Hazard ratios (HRs) and p-values were estimated using Cox proportional hazards models, adjusted for potential confounders, and supported by log-rank tests.

RESULTS

Of the 5595 patients analyzed, 2460 had a history of depression, with 1049 experiencing it for over a year and 1411 for less than a year. HRs for psychiatric hospitalization, all hospitalizations, and death in patients with a history of depression versus those without were 0.92 (95% CI = 0.78-1.08, p = 0.30), 0.87 (95% CI = 0.78-0.98, p = 0.017), and 0.61 (95% CI = 0.33-1.12, p = 0.11), respectively. In patients with preceding depression ≥1 year versus <1 year, HRs were 0.89 (95% CI = 0.67-1.19, p = 0.43) for psychiatric hospitalization, 0.85 (95% CI = 0.71-1.00, p = 0.052) for all hospitalizations, and 0.25 (95% CI = 0.07-0.89, p = 0.03) for death.

CONCLUSION

A prior history and duration of depression may not elevate psychiatric hospitalization risk after bipolar disorder diagnosis and might even correlate with reduced hospitalization and mortality rates.

Identifying predictive factors for mood recurrence in early-onset major mood disorders: A 4-year, multicenter, prospective cohort study

We investigate the predictive factors of the mood recurrence in patients with early-onset major mood disorders from a prospective observational cohort study from July 2015 to December 2019. A total of 495 patients were classified into three groups according to recurrence during the cohort observation period: recurrence group with (hypo)manic or mixed features (MMR), recurrence group with only depressive features (ODR), and no recurrence group (NR). As a result, the baseline diagnosis of bipolar disorder type 1 (BDI) and bipolar disorder type 2 (BDII), along with a familial history of BD, are strong predictors of the MMR. The discrepancies in wake-up times between weekdays and weekends, along with disrupted circadian rhythms, are identified as a notable predictor of ODR. Our findings confirm that we need to be aware of different predictors for each form of mood recurrences in patients with early-onset mood disorders. In clinical practice, we expect that information obtained from the initial assessment of patients with mood disorders, such as mood disorder type, family history of BD, regularity of wake-up time, and disruption of circadian rhythms, can help predict the risk of recurrence for each patient, allowing for early detection and timely intervention.

Rates and associations of relapse over 5 years of 2649 people with bipolar disorder: a retrospective UK cohort study

BACKGROUND

Evidence regarding the rate of relapse in people with bipolar disorder (BD), particularly from the UK, is lacking. This study aimed to evaluate the rate and associations of clinician-defined relapse over 5 years in a large sample of BD patients receiving routine care from a UK mental health service.

METHOD

We utilised de-identified electronic health records to sample people with BD at baseline. Relapse was defined as either hospitalisation, or a referral to acute mental health crisis services, between June 2014 and June 2019. We calculated the 5-year rate of relapse and examined the sociodemographic and clinical factors that were independently associated with relapse status and the number of relapses, over the 5-year period.

RESULTS

Of 2649 patients diagnosed with BD and receiving care from secondary mental health services, 25.5% (n = 676) experienced at least one relapse over 5 years. Of the 676 people who relapsed, 60.9% experienced one relapse, with the remainder experiencing multiple relapses. 7.2% of the baseline sample had died during the 5-year follow-up. Significant factors associated with experiencing any relapse, after adjustment for relevant covariates, were history of self-harm/suicidality (OR 2.17, CI 1.15-4.10, p = 0.02), comorbidity (OR 2.59, CI 1.35-4.97, p = 0.004) and psychotic symptoms (OR 3.66, CI  1.89-7.08, p < 0.001). Factors associated with the number of relapses over 5 years, after adjustment for covariates, were self-harm/suicidality (β = 0.69, CI 0.21-1.17, p = 0.005), history of trauma (β = 0.51, CI = 0.07-0.95, p = 0.03), psychotic symptoms (β = 1.05, CI 0.55-1.56, p < 0.001), comorbidity (β = 0.52, CI 0.07-1.03, p = 0.047) and ethnicity (β = - 0.44, CI - 0.87 to - 0.003, p = 0.048).

CONCLUSIONS

Around 1 in 4 people with BD in a large sample of people with BD receiving secondary mental health services in the UK relapsed over a 5-year period. Interventions targeting the impacts of trauma, suicidality, presence of psychotic symptoms and comorbidity could help to prevent relapse in people with BD and should be considered in relapse prevention plans.

Predictors of psychiatric hospitalization among outpatients with bipolar disorder in the real-world clinical setting

Background

Bipolar disorder is a psychiatric disorder that causes recurrent manic and depressive episodes, leading to decreased levels of social functioning and suicide. Patients who require hospitalization due to exacerbation of bipolar disorder have been reported to subsequently have poor psychosocial functioning, and so there is a need to prevent hospitalization. On the other hand, there is a lack of evidence regarding predictors of hospitalization in real-world clinical practice.

Methods

The multicenter treatment survey on bipolar disorder (MUSUBI) in Japanese psychiatric clinics was an observational study conducted to provide evidence regarding bipolar disorder in real-world clinical practice. Psychiatrists were asked, as part of a retrospective medical record survey, to fill out a questionnaire about patients with bipolar disorder who visited 176 member clinics of the Japanese Association of Neuro-Psychiatric Clinics. Our study extracted baseline patient characteristics from records dated between September and October 2016, including comorbidities, mental status, duration of treatment, Global Assessment of Functioning (GAF) score, and pharmacological treatment details. The incidence and predictors of hospitalization among patients with bipolar disorder over a 1-year period extending from that baseline to September–October 2017 were examined.

Results

In total, 2,389 participants were included in our study, 3.06% of whom experienced psychiatric hospitalization over the course of 1 year from baseline. Binomial logistic regression analysis revealed that the presence of psychiatric hospitalization was correlated with bipolar I disorder, lower baseline GAF scores, unemployment, substance abuse and manic state.

Conclusions

Our study revealed that 3.06% of outpatients with bipolar disorder were subjected to psychiatric hospitalization during a 1-year period that extended to September–October 2017. Our study suggested that bipolar I disorder, lower baseline GAF scores, unemployment, substance abuse and baseline mood state could be predictors of psychiatric hospitalization. These results may be useful for clinicians seeking to prevent psychiatric hospitalization for bipolar disorder.

Direct medical cost of bipolar disorder: Insights from the FACE-BD longitudinal cohort

BACKGROUND

Bipolar disorder (BD) is a severe chronic psychiatric disorder affecting 0.5 to 1% of the population worldwide. To date, most studies have estimated the cost of BD via information sourced from insurance claims with limited information on clinical characteristics and course of BD. The aims of this study are (i) to estimate the direct healthcare cost associated with BD and to identify contributing factors and (ii) to study the evolution of cost during a two-year follow-up period.

METHOD

We analyzed a sample of 1116 individuals with BD included in the Advanced Centers of Expertise in Bipolar Disorder cohort. We estimated the direct healthcare cost per year and per patient, and we identified the clinical features of patients with BD associated with higher direct healthcare costs. In a subsample of patients followed up for two years centers of expertise for BD, we studied the evolution of direct healthcare cost.

RESULTS

The average cost of bipolar disorder was € 6910 per year and per patient. Clinical features of BD, sociodemographic characteristics, and associated addiction were associated with higher direct healthcare costs. In the subsample of patients followed-up for two years, direct healthcare cost dropped by more than 50%, strongly suggesting the beneficial effect of specialized care organization.

LIMITATION

We did not estimate indirect healthcare and intangible costs.

CONCLUSION

Our study investigates the cost of BD and its evolution in a deeply phenotyped longitudinal sample. Cost-utility and cost-effectiveness analyses are required to inform resource allocation decisions and to promote innovative healthcare organizations.

Effect of specialised versus generalised outpatient treatment for bipolar disorder: the CAG Bipolar trial - study protocol for a randomised controlled trial

INTRODUCTION

Despite current available treatment patients with bipolar disorder often experience relapses and decreased overall functioning. Furthermore, patients with bipolar disorder are often not treated medically or psychologically according to guidelines and recommendations. A Clinical Academic Group is a new treatment initiative bringing together clinical services, research, education and training to offer care and treatment that is based on reliable evidence backed up by research. The present Clinical Academic Group for bipolar disorder (the CAG Bipolar) randomised controlled trial (RCT) aims for the first time to investigate whether specialised outpatient treatment in CAG Bipolar versus generalised community-based treatment improves patient outcomes and clinician's satisfaction with care in patients with bipolar disorder.

METHODS AND ANALYSIS

The CAG Bipolar trial is a pragmatic randomised controlled parallel-group trial undertaken in the Capital Region of Denmark covering a catchment area of 1.85 million people. Patients with bipolar disorder are invited to participate as part of their outpatient treatment in the Mental Health Services. The included patients will be randomised to (1) specialised outpatient treatment in the CAG Bipolar (intervention group) or (2) generalised community-based outpatient treatment (control group). The trial started 13 January 2020 and has currently included more than 600 patients. The outcomes are (1) psychiatric hospitalisations and cumulated number and duration of psychiatric hospitalisations (primary), and (2) self-rated depressive symptoms, self-rated manic symptoms, quality of life, perceived stress, satisfaction with care, use of medication and the clinicians' satisfaction with their care (secondary). A total of 1000 patients with bipolar disorder will be included.

ETHICS AND DISSEMINATION

The CAG Bipolar RCT is funded by the Capital Region of Denmark and ethical approval has been obtained from the Regional Ethical Committee in The Capital Region of Denmark (H-19067248). Results will be published in peer-reviewed academic journals, presented at scientific meetings and disseminated to patient organisations and media outlets.

TRIAL REGISTRATION NUMBER

NCT04229875.

Smoking and the risk for bipolar disorder: evidence from a bidirectional Mendelian randomisation study

BACKGROUND

There is increasing evidence that smoking is a risk factor for severe mental illness, including bipolar disorder. Conversely, patients with bipolar disorder might smoke more (often) as a result of the psychiatric disorder.

AIMS

We conducted a bidirectional Mendelian randomisation (MR) study to investigate the direction and evidence for a causal nature of the relationship between smoking and bipolar disorder.

METHOD

We used publicly available summary statistics from genome-wide association studies on bipolar disorder, smoking initiation, smoking heaviness, smoking cessation and lifetime smoking (i.e. a compound measure of heaviness, duration and cessation). We applied analytical methods with different, orthogonal assumptions to triangulate results, including inverse-variance weighted (IVW), MR-Egger, MR-Egger SIMEX, weighted-median, weighted-mode and Steiger-filtered analyses.

RESULTS

Across different methods of MR, consistent evidence was found for a positive effect of smoking on the odds of bipolar disorder (smoking initiation ORIVW = 1.46, 95% CI 1.28-1.66, P = 1.44 × 10-8, lifetime smoking ORIVW = 1.72, 95% CI 1.29-2.28, P = 1.8 × 10-4). The MR analyses of the effect of liability to bipolar disorder on smoking provided no clear evidence of a strong causal effect (smoking heaviness betaIVW = 0.028, 95% CI 0.003-0.053, P = 2.9 × 10-2).

CONCLUSIONS

These findings suggest that smoking initiation and lifetime smoking are likely to be a causal risk factor for developing bipolar disorder. We found some evidence that liability to bipolar disorder increased smoking heaviness. Given that smoking is a modifiable risk factor, these findings further support investment into smoking prevention and treatment in order to reduce mental health problems in future generations.

20-Year Trends in the Pharmacologic Treatment of Bipolar Disorder by Psychiatrists in Outpatient Care Settings

OBJECTIVE

Pharmacological options for treating bipolar disorder have increased over the past 20 years, with several second-generation antipsychotics receiving regulatory approval in the 1990s. The authors describe trends in use of pharmacological agents in the outpatient management of bipolar disorder.

METHODS

Using nationally representative data from the 1997-2016 National Ambulatory Medical Care Surveys, the authors examined trends in the use of mood stabilizers, first- and second-generation antipsychotics, and antidepressants among psychiatrist visits for which bipolar disorder was listed among the primary diagnoses. A logistic regression model was used to identify statistically significant trends, with covariates including age, gender, race/ethnicity, and primary insurance.

RESULTS

Antipsychotics were increasingly more commonly prescribed, increasing from 12.4% of outpatient visits for bipolar disorder in the 1997-2000 period to 51.4% in the 2013-2016 period (adjusted odds ratio=5.05, 95% CI=3.65-7.01). Use of mood stabilizers decreased from 62.3% of visits for bipolar disorder in the 1997-2000 period to 26.4% in the 2013-2016 period (adjusted odds ratio=0.18, 95% CI=0.13-0.27). Prescription of antidepressants occurred in 47.0% of visits for bipolar disorder in the 1997-2000 period and 57.5% in the 2013-2016 period. Prescription of an antidepressant without a mood stabilizer increased substantially, from 17.9% in the 1997-2000 period to 40.9% in the 2013-2016 period (adjusted odds ratio=2.88, 95% CI=2.06-4.03).

CONCLUSIONS

Substantial changes have occurred in the treatment of bipolar disorder over the past 20 years, with second-generation antipsychotics in large measure supplanting traditional mood stabilizers. Antidepressant prescriptions persisted despite a lack of evidence for their efficacy in bipolar disorder and concerns about increasing the risk of mania. Research is needed to compare the real-world effectiveness and tolerability of newer antipsychotics with those of traditional mood stabilizers.

Correlates of psychiatric inpatient readmissions of children and adolescents with mental disorders

To identify correlates of psychiatric readmission of youth, we conducted a consecutive, retrospective 1-year cohort study (07.01.2014-06.30.2015) of youth (age = 5-17.9) admitted to psychiatric inpatient facility. Stepwise elimination, multivariable logistic regression analyses were conducted to identify independent correlates of 1-year and 30-day psychiatric readmissions. The Family/Caregiver Interview Tool (FCIT) was given to caregivers of 30-day readmitted youth and analyzed using generalized linear model to predict time to readmission. Altogether, 1231 youth experienced 1534 hospitalizations. The 1-year readmission rate was 32.4%; 30-day readmission rate was 10.2%. Significant independent correlates of readmissions were longer length of stay, higher antipsychotic treatment rates, living closer to the hospital, and comorbid obesity, all accounting for 12.2% of variance. FCIT revealed that caregiver's ability to fill prescription after discharge delayed readmission, while shorter time to follow-up appointment hastened it. Illness exacerbation was responsible for 73% of 30-day readmissions; system of care factors accounted for 13%. Compared to clinicians, caregivers significantly underestimated environment of care factors (including caregiver's mental health) as the primary cause for readmission. Readmissions are common and correlate with illness severity and systems of care factors. Family support services may help reduce readmissions. Hospital-specific qualitative investigation may help identify intervention targets to reduce readmissions.

Psychiatric Risk Assessment from the Clinician's Perspective: Lessons for the Future

Accurate prediction of risk-states in Serious Mental Illnesses (SMIs) is critical for reducing their massive societal burden. Risk-state assessments are notably inaccurate. Recent innovations, including widely available and inexpensive mobile technologies for ambulatory "biobehavioral" data, can reshape risk assessment. To help understand and accelerate clinician involvement, we surveyed 90 multi-disciplinary clinicians serving SMI populations in various settings to evaluate how risk assessment is conducted and can improve. Clinicians reported considerable variability in conducting risk assessment, and few clinicians explicated their procedures beyond tying it to broader mental status examinations or interviews. Very few clinicians endorsed using currently-available standardized risk measures, and most reported low confidence in their utility. Clinicians also reported spending approximately half the time conducting individual risk assessments than optimally needed. When asked about improvement, virtually no clinicians acknowledged biobehavioral, objective technologies, or ambulatory recording. Overall, clinicians seemed unaware of meaningful ways to improve risk assessment.

The association between family dysfunction and admission to an acute mental health inpatient unit: a prospective study

OBJECTIVES

With the shift from deinstitutionalization to community care in mental health services, relatives of persons with severe and enduring mental illnesses have had to take over the role as primary caregivers. Disturbed family dynamics have been observed within families with an 'ill' member. Although schizophrenia and related mental illnesses are biologically based disorders, environmental stress (including stress within family relationships) plays a major role in the onset and maintenance of symptoms. With this study, we assume that family dynamics play a central role in the course of severe psychiatric illness and hypothesized that dysfunction within family systems is a prognostic indicator of hospitalization in the course of schizophrenia/bipolar and schizoaffective disorders.

METHODS

Prospective, observational cohort study evaluating family functioning of 121 patients (schizophrenia/bipolar and schizoaffective disorder) from community at baseline and followed-up over 12-month period after recruitment. Measurements included demographics, diagnosis, Family Assessment Device - General Functioning, Perceived Criticism Scale, Brief Psychiatric Rating Scale, Global Assessment of Functioning and Social Support Questionnaire-6.

RESULTS

Significant differences found between patients admitted and not admitted during the 12-month time period for age (p = 0.003), Brief Psychiatric Rating Scale (BPRS; p = 0.026), Family Assessment Device - General Functioning (FAD-GF; p = 0.007) and Social Support Questionnaire total satisfaction level (p = 0.042) at baseline. Bivariate analysis showed that those admitted into hospital were younger with a higher BPRS score, less social satisfaction and disturbed family dynamics. FAD-GF (p = 0.006) and age (p = 0.022) were significant independent predictors for admission.

CONCLUSION

This provides further evidence supporting importance of promoting better family functioning through modified family dynamics, integrating and involving family into the care of such patients.

Changes in prescribing for bipolar disorder between 2009 and 2016: national-level data linkage study in Scotland

BACKGROUND

People with bipolar disorder typically require long-term pharmacological treatment to prevent episodes of depression or mania. However, evidence-based guidelines are often not followed by prescribers and, in some countries, prescribing of lithium is in decline. Polypharmacy is also common in bipolar disorder.AimsTo employ a data linkage approach to describe and evaluate prescribing patterns in bipolar disorder in Scotland between 2009 and 2016.

METHOD

By linking prescribing data to the electronic Scottish Morbidity Records, we identified a cohort of 23 135 patients with bipolar disorder who were prescribed psychotropic medication between 2009 and 2016. We examined trends in proportions of patients prescribed each of six drug categories. Random effects logistic models examined change in prescribing over years of interest.

RESULTS

The most common form of treatment was antidepressant monotherapy (24.96%), with only 5.90% of patients receiving lithium monotherapy. Prescribing of antipsychotics and anti-epileptics increased from 2009 to 2016 (antipsychotics: odds ratio 1.16, 95% CI 1.15-1.18; anti-epileptics: odds ratio 1.34, 95% CI 1.32-1.36), whereas prescribing of lithium decreased (odds ratio 0.83, 95% CI 0.82-0.85). Prescribing of valproate decreased from 2009-2016 in women, but increased in men (women: odds ratio 0.93, 95% CI 0.90-0.97; men: odds ratio 1.11, 95% CI 1.04-1.18).

CONCLUSIONS

Antidepressant monotherapy was the most common form of treatment for bipolar disorder in Scotland and prescribing of lithium has declined between 2009 and 2016. The findings are concerning and represent a gap between treatment guidelines and clinical practice.Declaration of interestNone.

Risk factors for early unplanned readmission in patients with bipolar disorder: A retrospective observational study

OBJECTIVES

Evidence regarding the relationships between patient, hospital, and regional factors and early unplanned readmission (short-term outcome) in patients with bipolar disorder is lacking. This study aimed to examine risk factors associated with early unplanned readmission in patients with bipolar disorder.

METHOD

We retrospectively analyzed adult bipolar patients (ICD-10; F31) between April 2012 and March 2014 in the Japanese Diagnosis Procedure Combination database. We examined factors affecting the 30-day unplanned readmission using multivariable logistic regression analysis.

RESULTS

A total of 2688 patients admitted to psychiatric beds were included. Multivariate analysis showed that unchanged or exacerbation discharge outcome (adjusted odds ratio [aOR]: 1.93; 95% confidence interval [CI]: 1.06-3.51, p = 0.031), unplanned or urgent admission settings (aOR: 1.51; 95% CI: 1.00-2.26, p = 0.048), physical comorbidity (chronic pulmonary disease) (aOR: 4.74; 95% CI: 1.30-17.29, p = 0.018), presence of psychiatric acute-care beds (aOR: 1.72; 95% CI: 1.02-2.87, p = 0.040), and intermediate-level hospital psychiatric staffing (aOR: 1.82; 95% CI: 1.14-2.91, p = 0.012) were significantly associated with higher early unplanned readmission, while higher density of psychiatrists in the area (aOR: 0.50; 95% CI: 0.29-0.87, p = 0.014) was significantly associated with lower early unplanned readmission.

CONCLUSIONS

The results suggest that not only careful management of high-risk patients but also consideration of functional differentiation in psychiatric inpatient care, psychiatric resource allocation, and follow-up support for patients with bipolar disorder are needed for reducing the early unplanned readmission rate.

Factors predicting re-hospitalization for inpatients with bipolar mania--A naturalistic cohort

Patients with bipolar mania often require re-hospitalization, which can be a social-economic burden. This study aimed to investigate the factors affecting time to re-hospitalization for inpatients with acute bipolar mania. In this 6-year naturalistic study we reviewed the charts of inpatients with acute bipolar mania. Potential dichotomous factors including sex, family history of affective disorder, suicide history, and discharge against medical advice, involuntary admission, psychotic features, substance use disorder, and remission at discharge were recorded. Continuous variables including age, age at onset of affective episodes, and number of previous hospitalizations were also recorded. We used survival analysis with a univariate Cox proportional hazard regression model, along with forward multivariate model, to identify the potential factors. Of the 165 patients, 23% achieved symptomatic remission at discharge. In the forward Cox model, psychotic features, discharge against medical advice and higher number of previous hospitalizations were significant risk factors for re-admission. Remission at discharge was significantly associated with preventing re-hospitalization. We identified several predictors for re-hospitalization among inpatients with bipolar mania. Further studies are needed in other real-world settings to validate our results.

Adjunctive probiotic microorganisms to prevent rehospitalization in patients with acute mania: A randomized controlled trial

OBJECTIVE

Immunological abnormalities play a role in the pathophysiology of mania and have been associated with relapse. Probiotic organisms such as Lactobacilli and Bifidobacteria modulate inflammation in humans and animal models. The trial examined whether the administration of probiotic organisms prevents psychiatric rehospitalizations in patients recently discharged following hospitalization for mania.

METHODS

Patients hospitalized for mania (N = 66) were randomized after discharge to receive 24 weeks of adjunctive probiotics (Lactobacillus rhamnosus strain GG and Bifidobacterium animalis subsp. lactis strain Bb12) or adjunctive placebo in a parallel two-group design format. The effect of treatment group on the risk of rehospitalization was calculated using Cox regression models. The modulating effect of systemic inflammation was measured employing an inflammation score based on immunoglobulin levels directed at previously defined antigens.

RESULTS

During the 24-week observation period there were a total of 24 rehospitalizations in the 33 individuals who received placebo and eight rehospitalizations in the 33 individuals who received the probiotics (z = 2.63, P = .009). Hazard functions indicated that the administration of the probiotics was associated with a significant advantage in time to all psychiatric rehospitalizations (hazard ratio [HR] = 0.26, 95% confidence interval [CI] 0.10, .69; P = .007). Probiotic treatment also resulted in fewer days rehospitalized (mean 8.3 vs 2.8 days for placebo and probiotic treatment, respectively; χ²  = 5.17, P = .017). The effect of the probiotic treatment on the prevention of rehospitalization was increased in individuals with elevated levels of systemic inflammation at baseline.

CONCLUSION

Probiotic supplementation is associated with a lower rate of rehospitalization in patients who have been recently discharged following hospitalization for mania.