Diagnosis of behavioral symptoms as a predictor of institutionalization among Medicaid patients with dementia.

OBJECTIVES: Behavioral symptoms are commonly observed in the course of dementia. This study aimed to assess the association of the diagnosis of a cluster of behavioral symptoms (e.g., agitation, aggression, psychotic symptoms, and delirium/wandering) with the likelihood of subsequent institutionalization. METHODS: A retrospective cohort study of adults aged 65 and above diagnosed with dementia identified in the IBM® MarketScan® Multistate Medicaid database between October 01, 2015, and September 30, 2019, was conducted. The index date was defined as the first diagnosis date of dementia. The presence or absence of behavioral symptoms was identified in the 6 months prior to the index date (baseline). Institutionalization was evaluated 12 months (follow-up) post the index date. The association between diagnosed behavioral symptoms during the baseline period and institutionalization in the follow-up period was assessed using a multivariable logistic regression, adjusting for baseline sociodemographic and clinical characteristics. RESULTS: The study cohort included 40,714 patients with dementia. A diagnosis of behavioral symptoms was found among 2,067 (5.1%) patients during the baseline period. An increased likelihood of institutionalization was found during the follow-up among patients with agitation and aggression in baseline (OR = 1.51 (95% CI: 1.18-1.92)) compared to patients without these symptoms at baseline. Patients with psychotic symptoms in baseline had significantly higher odds of getting institutionalized during the follow-up compared to patients without psychotic symptoms in baseline (OR = 1.36 (95% CI: 1.20-1.54)). Similarly, patients with symptoms of delirium and wandering in baseline had a higher likelihood of institutionalization than patients without these symptoms at baseline (OR = 1.61 (95% CI: 1.30-1.99)). CONCLUSION: Several diagnosed behavioral symptoms were associated with a higher risk of institutionalization among older adults with dementia and should be considered when planning treatment strategies for the effective management of the condition.

Prevalence and Risk of Behavioral Symptoms among Patients with Insomnia and Alzheimer's Disease: A Retrospective Database Analysis.

OBJECTIVES: This study evaluated the prevalence and patterns of behavioral symptoms, including agitation/aggression (AA), psychotic symptoms (PS), anxiety/mood disorders (MD), and delirium among patients with Alzheimer's disease (AD) and their association with diagnosed insomnia. DESIGN: A retrospective cohort analysis was conducted using the MarketScan Multi-State Medicaid Database 2016-2020. SETTING AND PARTICIPANTS: Patients aged ≥50 with newly diagnosed AD (N = 56,904) were identified during 2017-2019 and categorized into insomnia and non-insomnia groups based on billing codes recorded in medical and pharmacy claims. METHODS: The index date was defined as the earliest date of diagnosis/medication of insomnia. The new diagnosis of AD had to be established within 12 months before (baseline) or 3 months after the index date. Point prevalence of behavioral symptoms was estimated during baseline and the 12-month follow-up period. Propensity score matching was performed to match patients with and without insomnia. Multivariable conditional logistic regression was used to assess the risk of diagnosis of behavioral symptoms among insomnia and non-insomnia groups. RESULTS: The study cohort included 7808 patients with newly diagnosed AD (mean age = 79.4, SD = 9.6 years). The point prevalence of behavioral symptoms was as follows: among those with insomnia (n = 3904), in the baseline, AA = 9.0%, PS = 12.5%, and MD = 57.8%, and during the follow-up, AA = 13.9%, PS = 16.3%, and MD = 72.1%; among those without insomnia (n = 3904), in the baseline, AA = 6.2%, PS = 9.2%, and MD = 41.4%; and during the follow-up, AA = 7.4%, PS = 10.4%, and MD = 49.2%. The likelihood of being diagnosed with any behavioral symptoms in the follow-up period was significantly higher among patients with insomnia than those without [adjusted odds ratio (OR), 2.7; 95% confidence interval (CI), 2.4-3.1]. CONCLUSIONS AND IMPLICATIONS: In patients with AD, prevalence of behavioral symptoms and likelihood of being diagnosed with behavioral symptoms were significantly higher among patients with diagnosed insomnia. Further investigation is needed to understand the relationship between insomnia and behavioral symptoms in patients with AD.

Prevalence and impact of antipsychotic discontinuation among commercially-insured patients with bipolar disorder.

BACKGROUND: Antipsychotic discontinuation is common among patients with bipolar disorder, especially when psychotic symptoms are remitted. This analysis describes the prevalence, predictors, and economic impact of antipsychotic discontinuation among patients with bipolar disorder. METHODS: A retrospective, observational study was conducted using administrative claims data in the IBM MarketScan Commercial Database. Patients with ≥1 claim with a diagnosis for bipolar disorder (manic or mixed) and newly-initiating antipsychotic therapy between 1 January 2011 and 30 June 2016 were included. Baseline characteristics were assessed in the 12 months prior to the initiation. Outcomes were assessed during a 24-month follow-up. Discontinuation of antipsychotic therapy was utilized as a predictor of healthcare costs in models adjusted for baseline characteristics. Using limited set of variables in the claims database, predictors of discontinuation were also assessed. RESULTS: A total of 18,259 commercially-insured patients were identified as initiators of antipsychotics. Common comorbidities among the cohorts included major depressive disorder and dyslipidemia. Discontinuation was very common among these patients (85%). Major depressive disorder, drug abuse, and other substance abuse/dependency were predictive of discontinuation. Controlling for differences in baseline characteristics, discontinuation was associated with 33% higher inpatient and emergency visit costs (p <.001) among those using these services, and 24% higher total healthcare costs (p <.001) for the overall cohort. CONCLUSIONS: Most patients with bipolar mania or mixed states discontinue antipsychotic treatment in less than 2 years. Antipsychotic discontinuation contributes to excess healthcare costs. Future research focusing on the reasons for discontinuation and tailoring disease management based on comorbidities may inform adherence improvement initiatives.

Development and Temporal Validation of an Electronic Medical Record-Based Insomnia Prediction Model Using Data from a Statewide Health Information Exchange.

This study aimed to develop and temporally validate an electronic medical record (EMR)-based insomnia prediction model. In this nested case-control study, we analyzed EMR data from 2011-2018 obtained from a statewide health information exchange. The study sample included 19,843 insomnia cases and 19,843 controls matched by age, sex, and race. Models using different ML techniques were trained to predict insomnia using demographics, diagnosis, and medication order data from two surveillance periods: -1 to -365 days and -180 to -365 days before the first documentation of insomnia. Separate models were also trained with patient data from three time periods (2011-2013, 2011-2015, and 2011-2017). After selecting the best model, predictive performance was evaluated on holdout patients as well as patients from subsequent years to assess the temporal validity of the models. An extreme gradient boosting (XGBoost) model outperformed all other classifiers. XGboost models trained on 2011-2017 data from -1 to -365 and -180 to -365 days before index had AUCs of 0.80 (SD 0.005) and 0.70 (SD 0.006), respectively, on the holdout set. On patients with data from subsequent years, a drop of at most 4% in AUC is observed for all models, even when there is a five-year difference between the collection period of the training and the temporal validation data. The proposed EMR-based prediction models can be used to identify insomnia up to six months before clinical detection. These models may provide an inexpensive, scalable, and longitudinally viable method to screen for individuals at high risk of insomnia.

Contribution of Comorbid Conditions to the Diagnosis of Insomnia: A Database Study in a Commercially Insured Population.

ABSTRACT: Insomnia is a common sleep disorder characterized as dissatisfaction with sleep quantity or quality resulting in distress or impairment of social, occupational, or other daily functioning. It is unknown if there are medical conditions that have strong associations with insomnia but are unrecognized in previous literature. In this cross-sectional study based on IBM Marketscan Research Databases, we measured insomnia and 78 medical conditions in patients with 2-year continuous enrollment during 2018-2019. We selected important comorbidities associated with insomnia for eight age-sex groups and built logistic regression models to measure the associations. The prevalence of diagnosed insomnia increased with age, from <0.4% in the age group 0-17 to 4%-5% in the age group ≥65. Females had a higher prevalence of insomnia than males. Anxiety and depression were two important comorbidities across all age-sex subgroups. Most odds ratios of comorbidities remained significant after adjusting for other comorbidities in regression models. We did not find any new medical conditions that had strong associations with insomnia but were unrecognized in previous literature. The findings can help physicians use comorbidities to identify patients with high risk of insomnia.

Association of Antipsychotic-Related Weight Gain With Treatment Adherence and Switching Using Electronic Medical Records Data.

Objective: To leverage electronic health record (EHR) data to explore the relationship between weight gain and antipsychotic adherence among patients with schizophrenia and bipolar disorder (BD).Methods: EHR data were used to identify individuals with at least 60 days of continuous antipsychotic use between 2005 and 2019. Patients were diagnosed with schizophrenia, schizoaffective disorder, BD, or neither diagnosis (psychiatric controls). We examined the association of weight gain in the first 90 days with the proportion of days covered (PDC) with an antipsychotic and with the frequency of medication switching or stopping.Results: We identified 590 adults with schizophrenia or schizoaffective disorder, 819 adults with BD, and 642 psychiatric controls. In the first 90 days, the percentages of patients with a PDC ≥ 0.80 were 76.8% (schizophrenia), 77.1% (BD), and 70.7% (controls). Logistic regression models revealed that weight gain of ≥ 7% trended toward being significantly associated with greater adherence in the first 90 days (odds ratio = 1.29, P = .077) and was significantly associated with an increased likelihood of a medication switch in the first 180 days (odds ratio = 1.60, P = .003).Discussion: Patients whose weight increased by 7% or more in the first 90 days were more adherent but were also more likely to switch medications during the first 180 days.

Modeling acute care utilization: practical implications for insomnia patients.

Machine learning models can help improve health care services. However, they need to be practical to gain wide-adoption. In this study, we investigate the practical utility of different data modalities and cohort segmentation strategies when designing models for emergency department (ED) and inpatient hospital (IH) visits. The data modalities include socio-demographics, diagnosis and medications. Segmentation compares a cohort of insomnia patients to a cohort of general non-insomnia patients under varying age and disease severity criteria. Transfer testing between the two cohorts is introduced to demonstrate that an insomnia-specific model is not necessary when predicting future ED visits, but may have merit when predicting IH visits especially for patients with an insomnia diagnosis. The results also indicate that using both diagnosis and medications as a source of data does not generally improve model performance and may increase its overhead. Based on these findings, the proposed evaluation methodologies are recommended to ascertain the utility of disease-specific models in addition to the traditional intra-cohort testing.

Economic outcomes associated with diagnosed behavioral symptoms among patients with dementia in the United States: a health care claims database analysis.

BACKGROUND: Behavioral symptoms are common in patients with dementia. However, there is limited evidence of their economic burden. Among commercially insured patients with dementia in the United States, this study assessed the prevalence of diagnosed behavioral symptoms and whether healthcare resources utilization and costs were associated with these symptoms. METHODS: This retrospective observational study was conducted using the IBM® MarketScan® Commercial Claims and Encounters and Medicare Supplemental database from October 1, 2015, to September 30, 2019. Diagnoses of dementia and behavioral symptoms were identified using the International Classification of Diseases, 10th Modification codes. To test differences in patient characteristics among those with and without diagnosed behavioral symptoms, t-tests were used for continuous variables, and chi-square tests were used for categories. Generalized linear models were used to compare healthcare resource utilization and costs between patients with and without diagnosed behavioral symptoms, adjusted for baseline characteristics. RESULTS: Of the 62,901 patients with dementia included in the analysis, 16.5% had diagnosed behavioral symptoms 12 months post dementia diagnosis. Patients with diagnosed behavioral symptoms used more health care resources (mean annual pharmacy visits per patient: 39.83 vs. 33.08, mean annual outpatient visits per patient: 24.20 vs. 16.94, mean annual inpatient visits per patient: 0.98 vs. 0.47, mean annual ER visits per patient: 2.45 vs. 1.21) and incurred higher cost of care than those without diagnosed behavioral symptoms (mean annual total health care costs per patients: $63,268 versus $33,383). Inpatient care was the most significant contributor to total costs (adjusted annual mean cost per patient: $28,195 versus $12,275). CONCLUSION: Behavioral symptoms were significantly associated with higher healthcare resource utilization and costs among patients with dementia. Further research is warranted to address the unmet medical needs of this patient population.

The impact of antipsychotic adherence on acute care utilization.

BACKGROUND: Non-adherence to psychotropic medications is common in schizophrenia and bipolar disorders (BDs) leading to adverse outcomes. We examined patterns of antipsychotic use in schizophrenia and BD and their impact on subsequent acute care utilization. METHODS: We used electronic health record (EHR) data of 577 individuals with schizophrenia, 795 with BD, and 618 using antipsychotics without a diagnosis of either illness at two large health systems. We structured three antipsychotics exposure variables: the proportion of days covered (PDC) to measure adherence; medication switch as a new antipsychotic prescription that was different than the initial antipsychotic; and medication stoppage as the lack of an antipsychotic order or fill data in the EHR after the date when the previous supply would have been depleted. Outcome measures included the frequency of inpatient and emergency department (ED) visits up to 12 months after treatment initiation. RESULTS: Approximately half of the study population were adherent to their antipsychotic medication (a PDC ≥ 0.80): 53.6% of those with schizophrenia, 52.4% of those with BD, and 50.3% of those without either diagnosis. Among schizophrenia patients, 22.5% switched medications and 15.1% stopped therapy. Switching and stopping occurred in 15.8% and 15.1% of BD patients and 7.4% and 20.1% of those without either diagnosis, respectively. Across the three cohorts, non-adherence, switching, and stopping therapy were all associated with increased acute care utilization, even after adjusting for baseline demographics, health insurance, past acute care utilization, and comorbidity. CONCLUSION: Non-continuous antipsychotic use is common and associated with high acute care utilization.

Atypical Treatment Switches in Schizophrenia Patients: Drivers and Associated Outcomes.

Objective: To describe and compare demographics and outcomes among patients with schizophrenia who have switched atypical treatments versus non-switchers. Methods: Data were extracted from the Adelphi Schizophrenia Disease Specific Programme™ conducted from January to May 2014 in the United States. Participating physicians provided information on their next 10 consulting schizophrenia patients aged ≥ 18 years; the same patients were invited to voluntarily complete a patient self-completion form (PSC). Patients were considered switchers (S) or non-switchers (NS) based on their physician-provided treatment history. S were patients who had switched, stopped or added an atypical treatment within the last 2 years. NS had no treatment changes within the last 2 years or were receiving their first-line treatment (for ≥ 3 months). Demographics, clinical characteristics and outcomes among S and NS were compared using both descriptive and multivariate statistics. Results: One-hundred fifty physicians provided data on 1003 patients with schizophrenia (395 S, 608 NS); 500 patients completed a PSC (170 S, 330 NS). When compared with NS, S were more likely to be unemployed (p=0.0060), have a caregiver (p<0.0001), have greater activity impairment as assessed by Work and Productivity Activity Impairment (p=0.0031), be hospitalized for schizophrenia (p<0.0001) and have had a greater mean number of hospitalizations in the last 12 months (p=0.0012). NS vs S were more likely to have much or very much improved illness (p<0.0001) and less severe disease (p<0.0001) as assessed by Clinical Global Impression. Conclusion: Despite switching drugs, some schizophrenia patients continue to have high levels of disease burden, suggesting that currently available therapies are insufficiently effective in these patients.

Cardiometabolic outcomes among schizophrenia patients using antipsychotics: the impact of high weight gain risk vs low weight gain risk treatment.

OBJECTIVE: Evaluate the prevalence of cardiometabolic conditions among schizophrenia patients before and incidence after initiation of high (HWGR) and low weight gain risk (LWGR) antipsychotic (AP) regimens. METHODS: A retrospective observational cohort study was conducted using administrative claims data from the IBM® MarketScan Commercial and Multi-State Medicaid Databases. Patients with > 1 medical claim with a diagnosis for schizophrenia and newly initiating AP therapy between 1/1/11-6/30/16 were included. Baseline characteristics were assessed in the 12-months before AP initiation; outcomes over 24-months following AP initiation. Patients were characterized by the AP regimen initiated at the index date. Adherence was defined by a medication possession ratio > 0.8 (medication on hand for 80% of follow-up). Multivariate modeling identified predictors of index AP weight gain risk profile and post-index dyslipidemia. RESULTS: Two thousand seven hundred forty-eight commercially-insured and 8,748 Medicaid patients met the inclusion criteria. A majority of patients initiated on atypical AP and approximately 30% were adherent to their index AP regimen. Within both payers, patients indexing on LWGR AP regimens were more likely to have pre-index diagnoses of cardiometabolic conditions including hypertension, dyslipidemia, and diabetes. Significant predictors of post-index dyslipidemia included AP adherence and pre-index diabetes. Within both payers, odds of initiating HWGR AP regimens were higher among patients with evidence of drug abuse. CONCLUSIONS: There is unmet need for reducing cardiometabolic consequences for patients on AP therapy and this analysis provides evidence that cardiometabolic conditions often develop during early stages of AP therapy. However, this does not appear to be related to the weight gain risk profile of the AP regimen.

Quality of Life and Caregiver Burden of Alzheimer's Disease Among Community Dwelling Patients in Europe: Variation by Disease Severity and Progression.

BACKGROUND: Alzheimer's disease (AD) is a significant burden on patients and caregivers. How this burden increases as disease progresses has not been well researched. OBJECTIVE: To assess the association of caregiver burden and quality of life with Alzheimer's disease severity and disease progression in community-dwelling patients in Germany, Spain, and the UK. METHODS: This was a prospective observational longitudinal study of mild-to-moderate AD patients (assessed by Mini-Mental State Examination, MMSE), and their caregivers. The humanistic burden was assessed using these instruments: [Rapid Assessment of Physical Activity (RAPA), EuroQoL-5-Dimension Level (EQ-5D-5L)] and caregiver-reported [Dependence Scale (DS), EQ-5D-5L, Zarit Burden Interview (ZBI)]. Caregiver-reported healthcare resource use was assessed using the Resource Use in Dementia (RUD) and ad-hoc questions. RESULTS: Of 616 patients recruited, 338 and 99 were followed-up at 12 and 18 months, respectively. The caregiver-reported EQ-5D-5L scores of patients' health-related quality of life (HRQoL) showed a negative trend over time (baseline: 0.76; 18 months: 0.67) while patient-reported HRQoL remained at 0.85. DS scores tended to worsen. Disease progression was an independent predictor of HRQoL and increased dependence.Mean ZBI score increased over time reflecting an increase in caregiver burden; MMSE being an independent predictor for caregiver burden. Patient resource utilization and caregiver time for caregiving tended to increase over time. CONCLUSION: We found significant association between disease progression and caregiver and patient burden. Independently, both disease-specific outcomes and disease burden measures increased over time, but as disease progresses, we also found incremental burden associated with it.

Impact of Dementia-Related Behavioral Symptoms on Healthcare Resource Use and Caregiver Burden: Real-World Data from Europe and the United States.

BACKGROUND: Dementia is commonly accompanied by neurobehavioral symptoms; however, the relationship between such symptoms and health-related outcomes is unclear. OBJECTIVE: To investigate the impact of specific neurobehavioral symptoms in dementia on healthcare resource use (HCRU), patient quality of life (QoL), and caregiver burden. METHODS: Data were taken from the 2015/16 Adelphi Real World Dementia Disease Specific Programme™, a point-in-time survey of physicians and their consulting dementia patients. Multiple regression analyses were used to examine associations between patient symptom groups and health-related outcomes. RESULTS: Each patient symptom group of interest (patients with agitation/aggression and related symptoms [AARS] with psychosis, patients with AARS without psychosis, and patients with other behavioral symptoms) had a positive association with HCRU variables (i.e., HCRU was greater), a negative association with proxy measures of patient QoL (i.e., QoL was decreased), and a positive association with caregiver burden (i.e., burden was greater) compared with patients with no behavioral symptoms (control group). The magnitude of effect was generally greatest in patients with AARS with psychosis. Regression analysis covariates that were found to be most often significantly related to the outcomes were dementia severity and the patients' living situation (i.e., whether they were in nursing homes or living in the community). CONCLUSION: Combinations of behavioral symptoms, particularly involving AARS plus psychosis, may have a detrimental impact on health-related outcomes such as HCRU, patient QoL, and caregiver burden in dementia. Our results have implications for intervention development in patients who report clusters of symptoms and caregivers, and for identifying at-risk individuals.

Assessing the Progression of Alzheimer's Disease in Real-World Settings in Three European Countries.

BACKGROUND: There exists considerable variation in disease progression rates among patients with Alzheimer's disease (AD). OBJECTIVE: The primary objective of this observational study is to assess the progression of AD by characterizing cognitive, functional, and behavioral changes during the follow-up period between 6 and 24 months. METHODS: A longitudinal prospective study with community-dwelling patients with an established clinical diagnosis of AD of mild to moderate severity was conducted in Germany, Spain and the UK. A sample of 616 patients from 69 sites was included. RESULTS: Patients had a mean of 1.9 years (SD = 1.9) since AD diagnosis at study inclusion. Cognitive symptoms were reported to have first occurred a mean of 1.1 years (SD = 1.7) prior to AD diagnosis and 1.4 (SD = 1.8) years prior to AD treatment. Patients initially diagnosed with mild and moderate AD spent a median (95%CI) of 3.7 (2.8; 4.4) and 11.1 (6.1, 'not reached') years until progression to moderate and severe AD, respectively, according to the Mini-Mental State Examination (MMSE) scores. A mixed model developed for cognitive, functional, and neuropsychiatric scores, obtained from study patients at baseline and during follow-up period, showed progressive deterioration of AD patients over time. CONCLUSION: The study showed a deterioration of cognitive, functional, and neuropsychiatric functions during the follow-up period. Cognitive deterioration was slightly faster in patients with moderate AD compared to mild AD. The duration of moderate AD can be overestimated due to the use of retrospective data, lack of availability of MMSE scores in clinical charts and exclusion of patients at time of institutionalization.

A Real-World Assessment of Outcomes in Schizophrenia Patients According to Treatment Response.

OBJECTIVE: To describe and compare demographics, outcomes, and comorbidities among schizophrenia patients according to treatment response. METHODS: A cross-sectional survey was conducted in the United States through the Adelphi Schizophrenia Disease Specific Program from January to May 2014. Participating physicians provided information on the first 10 schizophrenia patients aged ≥ 18 years they saw in daily clinical practice; these patients were invited to voluntarily complete a patient self-completion form. Patients were considered partial responders or responders based on the physician-reported Clinical Global Impressions improvement scale. Regression analyses were performed to identify potential drivers of response and the clinical and humanistic outcomes associated with response. RESULTS: 150 physicians provided data on 433 partial responders and 872 responders; 185 partial responders and 415 responders completed a patient self-completion form. A significant predictor of response was always being adherent with the medication regimen (P < .001). Positive symptoms (P = .006) and moderate (P = .004) or severe (P = .002) illness severity were significant predictors of inadequate response. Responders were more likely to have better EQ-5D (EuroQol 5 Dimensions) visual analog scale, Quality of Life Enjoyment and Satisfaction Questionnaire, and work productivity and impairment scores (all P < .05). CONCLUSIONS: Partial responders were more likely to have significantly poorer clinical and quality of life outcomes compared with responders. Improved therapeutic approaches, either new therapies or optimized treatments, could lead to both better outcomes and improved adherence in this population.

Assessment of Real-Life Outcomes in Schizophrenia Patients according to Compliance.

OBJECTIVE: To describe and compare demographics, outcomes and comorbidities in schizophrenia patients by treatment compliance. METHODS: This was a cross-sectional survey of hospital- or office-based psychiatrists who saw ≥6 schizophrenia patients per week and were responsible for treatment decisions. Recruited physicians completed a patient record form (PRF) for their first 10 consulted schizophrenia patients aged ≥18. These patients voluntarily completed a patient self-completion form (PSC). Compliance was measured by subjective physician assessment. Drivers of and outcomes associated with compliance were identified by regression analyses. RESULTS: A total of 150 physicians completed PRFs for 1489 patients (706 sometimes compliant (SC), 636 always compliant (AC)). A total of 680 patients completed a PSC (327 SC, 295 AC). AC patients were less likely to be male (52.2% vs. 58.6%; P = 0.021) and unemployed (odds ratio (OR) 0.91, 95% confidence interval (CI) 0.82-1.00; P < 0.001) or to have had a treatment regimen change (OR 0.56, 95% CI 0.40-0.80; P = 0.001) than SC patients. AC patients were less likely to have had more comorbidities (OR 0.91, 95% CI 0.82-1.00; P = 0.045) and hospitalizations in the past 12 months (OR 0.59, 95% CI 0.43-0.80; P = 0.001) than SC patients. Overall, AC patients had better clinical and humanistic outcomes. Weight gain was a common side effect for all patients; SC patients with weight gain had poorer outcomes than those without weight gain. CONCLUSION: Schizophrenia patients that were SC experienced poorer clinical outcomes and quality of life. Weight gain may exacerbate these poorer outcomes.

Risk of Mortality Associated With Atypical Antipsychotic use: A National Cohort Study of Older Adults With Depression and Parkinson's Disease.

OBJECTIVES: This study examined the risk of all-cause-mortality in patients with Parkinson's Disease (PD) and comorbid depression using inappropriate atypical antipsychotics (AAPs), based on the 2015 American Geriatrics Society Beers criteria. METHODS: A retrospective analysis of 2007-2010 Minimum Data Set linked Medicare data was conducted using a propensity-matched approach. The cohort included PD patients aged 65 years or older without schizophrenia or bipolar disorder who started AAPs. All patients had a diagnosis of comorbid depression. Risk of 6-month all-cause-mortality was compared across appropriate AAPs (aripiprazole, clozapine, or quetiapine) and inappropriate AAPs (olanzapine, asenapine, brexpiprazole, iloperidone, lurasidone, paliperidone, risperidone, or ziprasidone) using robust Cox regression models involving the matched cohort. RESULTS: All-cause mortality rate was 15.65% in appropriate AAP group (n = 6,038) and 16.91% in inappropriate AAP group (n = 6,038) over 6-month follow-up in the matched cohort. The robust Cox proportional hazards models revealed increased risk of all-cause mortality (hazard ratio [HR] 1.13 [95% confidence interval {CI}: 1.01-1.28)] for patients who used inappropriate compared to appropriate AAPs. Risk of death was also higher for risperidone compared to quetiapine (HR: 1.20 [95% CI: 1.03-1.40]) in sensitivity analysis. However, there was a significant relationship between pneumonia and death in all analyses. The impact of inappropriate AAP use on mortality was not significant when pneumonia was modeled as a mediator. CONCLUSIONS: Inappropriate AAP use is associated with a higher risk of all-cause-mortality in older patients with PD which is mainly mediated by pneumonia. Therefore, inappropriate AAP use should be avoided to improve quality of care in PD.

Use of Atypical Antipsychotics in Long-Term Care Residents with Parkinson's Disease and Comorbid Depression.

PURPOSE: According to the 2015 American Geriatrics Society (AGS) Beers criteria, most antipsychotics are inappropriate in Parkinson's disease (PD) patients due to the risk of worsening Parkinsonian symptoms. This study examined the incidence and predictors of inappropriate antipsychotic use among long-term care residents with PD and comorbid depression. PATIENTS AND METHODS: This retrospective cohort study utilized 2007-2009 Minimum Data Set (MDS) linked to Chronic Condition Warehouse (CCW) Medicare data files involving patients with PD and comorbid depression. Using a 12-month baseline and a 24-month follow-up, the study examined incidence of inappropriate atypical antipsychotics, namely asenapine, brexpiprazole, iloperidone, lurasidone, olanzapine, paliperidone, risperidone, or ziprasidone as specified in the 2015 AGS Beers criteria. Appropriate atypical antipsychotic included aripiprazole, clozapine, or quetiapine. Multivariable logistic regression was used to examine various sociodemographic and clinical factors associated with inappropriate antipsychotic use in PD based on the Andersen Behavioral Model. RESULTS: The incidence of atypical antipsychotic use was 17.50% (13,352/76,294) among PD patients over a 2-year follow-up. The percentage of inappropriate use among atypical antipsychotic users was 36.32%. The likelihood of inappropriate antipsychotic use was higher for patients who had dementia (OR=1.22, 95% CI: 1.12-1.33) or Chronic Obstructive Pulmonary Disease ((OR=1.13, 95% CI: 1.03-1.24). However, patients who were taking levodopa (OR=0.62, 95% CI: 0.57-0.67), dopamine agonists (OR=0.90, 95% CI: 0.82-0.98), Catechol-O-methyltransferase (COMT) inhibitors (OR=0.77, 95% CI: 0.68-0.86), Monoamine Oxidase (MAO) inhibitors type B (OR=0.72, 95% CI: 0.60-0.86), or amantadine (OR=0.84, 95% CI: 0.71-0.98) were less likely to receive inappropriate antipsychotics. CONCLUSION: More than one-third of PD patients used inappropriate antipsychotics among those who were treated with atypical antipsychotic medications. Various socio-demographics and clinical factors were associated with inappropriate antipsychotic use in older patients with PD. Concerted efforts are needed to reduce inappropriate atypical antipsychotic use among PD patients.

Outcomes associated with endovascular treatment among patients with acute ischemic stroke in the USA.

BACKGROUND: Few studies have examined the trends in clinical and economic outcomes of patients with acute ischemic stroke (AIS) who receive endovascular therapy (ET) in the real-world setting. OBJECTIVE: To evaluate characteristics and trends in clinical and economic outcomes among commercially insured patients with AIS undergoing ET between 2011 and 2017. METHODS: Patients with AIS undergoing ET from January 1, 2011 to June 30, 2017 were identified from administrative claims contained in the IBM MarketScan Commercial and Medicare Supplemental databases. The Mann-Kendall trend test was performed to examine clinical and economic trends.Between 2011 and 2017, 3411 patients (mean age 62.85±15 years) with a primary diagnosis of AIS underwent ET (coverage: Commercial 59%, n=2008; Medicare Supplemental 41%, n=1403). In the Commercial cohort, discharge to home increased significantly (from 29.54% to 39.18%, p<0.05). Length of stay declined significantly among the overall cohort (from 10.96 to 9.05 days, p<0.01) and the Medicare Supplemental cohort (from 10.03 to 8.43 days, p<0.05). All-cause 365-day readmission decreased significantly among the overall cohort (from 47.5% to 36.7%, p<0.05) and the Commercial cohort (from 51.54% to 36.43%, p<0.05) but remained unchanged in the Medicare Supplemental cohort. While index procedure cost did not change significantly ($93 955 to $87 906, p=0.8806), total cost significantly declined in the overall cohort (from $166 922 to $130 678, p<0.05). CONCLUSIONS: Although with some variation across the samples studied, outcomes including discharge to home, length of stay, readmission, and total cost associated with endovascular stroke therapy seemed to have improved between 2011 and 2017. Index admission cost remained unchanged.