Associations between COVID-19 and 30-day thromboembolic events and mortality in people with dementia receiving antipsychotic medications

Aripiprazole as protector against COVID-19 mortality

The relation of antipsychotics with severe Coronavirus Disease 19 (COVID-19) outcomes is a matter of debate since the beginning of the pandemic. To date, controversial results have been published on this issue. We aimed to prove whether antipsychotics might exert adverse or protective effects against fatal outcomes derived from COVID-19. A population-based retrospective cohort study (January 2020 to November 2020) comprising inpatients (15,968 patients) who were at least 18 years old and had a laboratory-confirmed COVID-19 infection. Two sub-cohorts were delineated, comprising a total of 2536 inpatients: individuals who either had no prescription medication or were prescribed an antipsychotic within the 15 days preceding hospitalization. We conducted survival and odds ratio analyses to assess the association between antipsychotic use and mortality, reporting both unadjusted and covariate-adjusted results. We computed the average treatment effects, using the untreated group as the reference, and the average treatment effect on the treated, focusing solely on the antipsychotic-treated population. Among the eight antipsychotics found to be in use, only aripiprazole showed a significant decrease in the risk of death from COVID-19 [adjusted odds ratio (OR) = 0.86; 95% CI, 0.79-0.93, multiple-testing adjusted p-value < 0.05]. Importantly, these findings were consistent for both covariate-adjusted and unadjusted analyses. Aripiprazole has been shown to have a differentiated beneficial effect in protecting against fatal clinical outcome in COVID-19 infected individuals. We speculate that the differential effect of aripiprazole on controlling immunological pathways and inducible inflammatory enzymes, that are critical in COVID19 illness, may be associated with our findings herein.

Outpatient Antipsychotic Use and Severe COVID-19: Avoiding the Impact of Age in a Real-World Data Study

BACKGROUND

The association between use of antipsychotics and COVID-19 outcomes is inconsistent, which may be linked to use of these drugs in age-related diseases. Furthermore, there is little evidence regarding their effect in the nongeriatric population. We aim to assess the association between antipsychotic use and risk of disease progression and hospitalization due to COVID-19 among the general population, stratifying by age.

METHODS

We conducted a population-based, multiple case-control study to assess risk of hospitalization, with cases being patients with a PCR(+) test who required hospitalization and controls being individuals without a PCR(+) test; and risk of progression to hospitalization, with cases being the same as those used in the hospitalization substudy and controls being nonhospitalized PCR(+) patients. We calculated adjusted odds-ratios (aOR) and 95% confidence intervals (CI), both overall and stratified by age.

RESULTS

Antipsychotic treatment in patients younger than 65 years was not associated with a higher risk of hospitalization due to COVID-19 (aOR 0.94 [95%CI = 0.69-1.27]) and disease progression among PCR(+) patients (aOR 0.96 [95%CI = 0.70-1.33]). For patients aged 65 years or older, however, there was a significant, increased risk of hospitalization (aOR 1.58 [95% CI = 1.38-1.80]) and disease progression (aOR 1.31 [95% CI = 1.12-1.55]).

CONCLUSIONS

The results of our large-scale real-world data study suggest that antipsychotic use is not associated with a greater risk of hospitalization due to COVID-19 and progression to hospitalization among patients younger than 65 years. The effect found in the group aged 65 years or older might be associated with off-label use of antipsychotics.

Adherence to Recommended Metabolic Monitoring of Children and Adolescents Taking Second-Generation Antipsychotics

OBJECTIVE

Clinical guidelines recommend periodic monitoring for adverse metabolic effects associated with second-generation antipsychotic medications. The authors sought to evaluate adherence to the guideline-recommended metabolic monitoring schedule for children and adolescents prescribed second-generation antipsychotics.

METHODS

The authors used a national electronic medical records database for a retrospective study of children and adolescents ages 1-17 years (N=9,620) who were prescribed second-generation antipsychotics in January 2010-December 2018. Adherence to guideline-recommended monitoring of body mass index (BMI), blood glucose, and cholesterol was categorized as full, partial, and no monitoring. Full monitoring of patients was defined as strict metabolic monitoring, following the guideline-recommended schedule. Patients who received any monitoring, but not meeting the full monitoring criteria, were considered partially monitored. Three multinomial logistic regression models were fitted for each metabolic parameter to identify predictors associated with monitoring status.

RESULTS

BMI was the metabolic parameter with the highest adherence to guideline-recommended monitoring (full monitoring, 4.7% of patients; partial monitoring, 44.8%), followed by blood glucose (full monitoring, 6.5%; partial monitoring, 29.4%) and cholesterol (full monitoring, 0.8%; partial monitoring, 22.4%). Being Black (vs. non-Black), having a comorbid mood disorder (vs. none), receiving olanzapine as the index second-generation antipsychotic (vs. aripiprazole), and receiving an antidepressant as a concurrent medication (vs. none) were associated with a higher likelihood of receiving both full and partial monitoring of all three metabolic parameters.

CONCLUSIONS

Both full and partial adherence to guideline-recommended monitoring of children and adolescents prescribed second-generation antipsychotics were poor. However, children and adolescents at increased metabolic risk tended to be more closely monitored.

COVID-19 and Antipsychotic Therapy: Unraveling the Thrombosis Risk

In the context of the COVID-19 pandemic, this study investigates the potential correlation between the increased use of antipsychotic medications and the rising incidence of venous thromboembolism (VTE). As psychiatric disorders surged, the consequential escalation in antipsychotic drug use raised concerns about thrombotic risks. We conducted a comprehensive literature review using PubMed, focusing on articles that intersected COVID-19, antipsychotic medication, and thrombosis. This approach allowed for a nuanced examination of the historical and recent data on antipsychotic drugs and their association with thrombotic events. Our findings reveal a notable link between the use of antipsychotic medications, particularly second-generation antipsychotics, and an increased risk of VTE, including pulmonary embolism and deep vein thrombosis. This association was evident, despite variations in study designs and populations. The study underscores the need for cautious medication management in psychiatric care, especially during pandemic conditions like COVID-19, to mitigate thrombotic risks. It advocates a personalized approach to prescribing antipsychotics, considering individual patient factors and comorbidities, to balance the benefits against potential thrombotic complications.

Association Between Abnormal Metabolic Parameters and Receiving Subsequent Interventions in Children and Adolescents Initiating Second-Generation Antipsychotics

Objectives: This study aimed to examine the association between abnormal readings of metabolic parameters detected during second-generation antipsychotic (SGA) treatment and the likelihood of receiving subsequent adverse drug event interventions. Methods: This was a nested case-control study conducted on patients 1-17 years of age with at least two prescriptions of SGAs between January 2010 and January 2019 using TriNetX EMR data. Following an incident density sampling procedure, patients who received the SGA metabolic adverse event intervention (mAEI) (case) were matched with three nonrecipients (controls). The abnormal readings of metabolic parameters within 30 days before the initiation of mAIEs were further identified. These metabolic parameters include body mass index (BMI) and laboratory parameters such as cholesterol, high-density lipoprotein, low-density lipoprotein, triglycerides, blood glucose, HbA1c, thyroid hormones, liver enzymes, and prolactin. The association of abnormal metabolic parameters with subsequent mAEIs was assessed using a conditional logistic regression model, after adjusting for demographic and other clinical risk factors. Results: One thousand eight hundred eighty-four children and adolescents met the inclusion criteria and were prescribed SGA mAEIs. The most common types of mAEIs prescribed were weight management pharmacotherapy (40.6%), switching from a high or medium metabolic risk profile SGA to a low-risk one (30.9%), nonpharmacological treatment (25.4%), and switching from SGA polytherapy to monotherapy (11.7%). The conditional logistic regression analysis on matched mAEI recipients and nonrecipients showed that patients with an abnormal BMI had 43% higher odds of receiving mAEI (odds ratio [95% confidence interval]: 1.43 [1.13-1.79]). However, the presence of an abnormal laboratory reading was not associated with the initiation of mAEIs. Conclusions: The prescribing of mAEIs were associated with the presence of obesity, but not with abnormal readings of other metabolic parameters, suggesting that additional data are needed to clarify the long-term implication of SGA metabolic adverse events other than weight gain and to inform the appropriate timing for interventions.

Impact of the AACAP practice parameters on the metabolic adverse event monitoring for second-generation antipsychotics (SGAs) in children and adolescents

INTRODUCTION

The objective of our study was to evaluate the impact of the publication of the American Academy of Child and Adolescent Psychiatry (AACAP) practice parameters for SGA metabolic monitoring in 2011 on SGA metabolic monitoring uptake among pediatric SGA recipients.

METHODS

This was a retrospective study of children 1-17 years of age who initiated SGA treatment from Jan 2010 to December 2018 using a national Electronic Medical Records database. A segmented regression of interrupted time-series (ITS) analysis was conducted to analyze the change of metabolic monitoring rates for Body Mass Index (BMI), Blood Glucose (BG), and Total Cholesterol (CHL) 9 quarters pre- and 26 quarters post-the publication of the AACAP practice parameters.

RESULTS

The analytical cohort included 9620 children and adolescents who initiated SGA treatment during the study period. The ITS results showed that the publication of the AACAP practice parameter for SGA metabolic monitoring was associated with a 12.61 percentage points (p < 0.0002) immediate increase in BMI monitoring rate, (increased from 29.10% in Q4 2011 to 40.10% in Q3 2012). There was a positive trend of BMI monitoring rate prior to the publication of AACAP practice parameters, which continued during the post-publication period. Neither immediate nor sustained changes in the association of monitoring rates for BG and CHL were observed after the issuance of the guidelines.

CONCLUSION

The publication of AACAP practice parameters for SGA monitoring was associated with a significant improvement in the monitoring for BMI, but not for BG and CHL in children and adolescents.

Antipsychotic drug prescribing and mortality in people with dementia before and during the COVID-19 pandemic: a retrospective cohort study in Wales, UK

BACKGROUND

Concerns have been raised that antipsychotic drug prescribing, which has been associated with increased mortality in people with dementia, might have increased during the COVID-19 pandemic due to social restrictions imposed to limit the spread of SARS-CoV-2. We used multisource, routinely collected health-care data from Wales, UK to investigate prescribing and mortality variations in people with dementia before and during the COVID-19 pandemic.

METHODS

In this retrospective cohort study, we used individual-level, anonymised, population-scale linked health data to identify adults aged 60 years and older with a diagnosis of dementia in Wales, UK. We used the CVD-COVID-UK initiative to access Welsh routinely collected electronic health record data from the Secure Anonymised Information Linkage (SAIL) Databank. Patients who were alive and registered with a SAIL general practice on Jan 1, 2016, and who received a dementia diagnosis before the age of 60 years and before or during the study period were included. We explored antipsychotic drug prescribing rate changes over 67 months, between Jan 1, 2016, and Aug 1, 2021, overall and stratified by age and dementia subtype. We used time-series analyses to examine all-cause and myocardial infarction and stroke mortality over the study period and identified the leading causes of death in people with dementia between Jan 1, 2020, and Aug 1, 2021.

FINDINGS

Of 3 106 690 participants in SAIL between Jan 1, 2016 and Aug 1, 2021, 57 396 people (35 148 [61·2%] women and 22 248 [38·8%] men) met inclusion criteria for this study and contributed 101 428 person-years of follow-up. Of the 57 396 people with dementia, 11 929 (20·8%) were prescribed an antipsychotic drug at any point during follow-up. Accounting for seasonality, antipsychotic drug prescribing increased during the second half of 2019 and throughout 2020. However, the absolute difference in prescribing rates was small, ranging from 1253 prescriptions per 10 000 person-months in March, 2019, to 1305 per 10 000 person-months in September, 2020. All-cause mortality and stroke mortality increased throughout 2020, while myocardial infarction mortality declined. From Jan 1, 2020, to Aug 1, 2021, 1286 (17·1%) of 7508 participants who died had COVID-19 recorded as the underlying cause of death.

INTERPRETATION

During the COVID-19 pandemic, antipsychotic drug prescribing in people with dementia in the UK increased slightly; however, it is unlikely that this was solely related to the pandemic and this increase was unlikely to be a major factor in the substantial increase in mortality during 2020. The long-term increase in antipsychotic drug prescribing in younger people and in those with Alzheimer's disease warrants further investigation using resources with access to more granular clinical data. Although deprescribing antipsychotic medications remains an essential aspect of dementia care, the results of this study suggest that changes in prescribing and deprescribing practices as a result of the COVID-19 pandemic are not required.

FUNDING

British Heart Foundation (via the British Heart Foundation Data Science Centre led by Health Data Research UK), and the Scottish Neurological Research Fund.

A global federated real-world data and analytics platform for research

Objective

This article describes a scalable, performant, sustainable global network of electronic health record data for biomedical and clinical research.

Materials and Methods

TriNetX has created a technology platform characterized by a conservative security and governance model that facilitates collaboration and cooperation between industry participants, such as pharmaceutical companies and contract research organizations, and academic and community-based healthcare organizations (HCOs). HCOs participate on the network in return for access to a suite of analytics capabilities, large networks of de-identified data, and more sponsored trial opportunities. Industry participants provide the financial resources to support, expand, and improve the technology platform in return for access to network data, which provides increased efficiencies in clinical trial design and deployment.

Results

TriNetX is a growing global network, expanding from 55 HCOs and 7 countries in 2017 to over 220 HCOs and 30 countries in 2022. Over 19 000 sponsored clinical trial opportunities have been initiated through the TriNetX network. There have been over 350 peer-reviewed scientific publications based on the network's data.

Conclusions

The continued growth of the TriNetX network and its yield of clinical trial collaborations and published studies indicates that this academic-industry structure is a safe, proven, sustainable path for building and maintaining research-centric data networks.

"I felt like I had been put on the shelf and forgotten about" - lasting lessons about the impact of COVID-19 on people affected by rarer dementias

BACKGROUND

The public health measures imposed in many countries to contain the spread of COVID-19 resulted in significant suspensions in the provision of support and care for people with dementia. The negative effects of these measures have been extensively reported. However, little is known about the specific impact on people with young onset, non-memory-led and inherited dementias. This group may have experienced different challenges compared to those with late onset dementia given their non-memory phenotypes and younger age. We explored the impact of the first COVID-19 lockdown on people living with familial Alzheimer's disease, behavioural variant frontotemporal dementia, familial frontotemporal dementia, dementia with Lewy bodies, posterior cortical atrophy and primary progressive aphasia and their carers in the UK and their self-reported strategies for coping.

METHODS

This was a mixed methods study. An online survey was administered to people with dementia and family carers recruited via Rare Dementia Support. Free-text responses were analysed using framework analysis to identify key issues and themes.

RESULTS

184 carers and 24 people with dementia completed the survey. Overall, people with dementia experienced worsening of cognitive symptoms (70%), ability to do things (62%), well-being (57%) and changes to medication (26%) during lockdown. Carers reported a reduction in the support they received (55%) which impacted their own mental health negatively. Qualitative analysis of free-text responses shed light on how the disruption to routines, changes to roles and responsibilities, and widespread disconnection from friends, family and health and social care support varied according to phenotype. These impacts were exacerbated by a more general sense that precious time was being lost, given the progressive nature of dementia. Despite significant challenges, respondents demonstrated resilience and resourcefulness in reporting unexpected positives and strategies for adapting to confinement.

CONCLUSIONS

This study has highlighted the specific impacts of the COVID-19 restrictions on people with young onset, non-memory-led and inherited dementias, including behavioural variant frontotemporal dementia, primary progressive aphasia and posterior cortical atrophy, and their carers. The specific challenges faced according to diagnosis and the self-reported strategies speak to the importance of - and may inform the development of - tailored support for these underrepresented groups more generally.

Rates of Antipsychotic Drug Prescribing Among People Living With Dementia During the COVID-19 Pandemic

Importance

Concerns have been raised that the use of antipsychotic medication for people living with dementia might have increased during the COVID-19 pandemic.

Objective

To examine multinational trends in antipsychotic drug prescribing for people living with dementia before and during the COVID-19 pandemic.

Design, Setting, and Participants

This multinational network cohort study used electronic health records and claims data from 8 databases in 6 countries (France, Germany, Italy, South Korea, the UK, and the US) for individuals aged 65 years or older between January 1, 2016, and November 30, 2021. Two databases each were included for South Korea and the US.

Exposures

The introduction of population-wide COVID-19 restrictions from April 2020 to the latest available date of each database.

Main Outcomes and Measures

The main outcomes were yearly and monthly incidence of dementia diagnosis and prevalence of people living with dementia who were prescribed antipsychotic drugs in each database. Interrupted time series analyses were used to quantify changes in prescribing rates before and after the introduction of population-wide COVID-19 restrictions.

Results

A total of 857 238 people with dementia aged 65 years or older (58.0% female) were identified in 2016. Reductions in the incidence of dementia were observed in 7 databases in the early phase of the pandemic (April, May, and June 2020), with the most pronounced reduction observed in 1 of the 2 US databases (rate ratio [RR], 0.30; 95% CI, 0.27-0.32); reductions were also observed in the total number of people with dementia prescribed antipsychotic drugs in France, Italy, South Korea, the UK, and the US. Rates of antipsychotic drug prescribing for people with dementia increased in 6 databases representing all countries. Compared with the corresponding month in 2019, the most pronounced increase in 2020 was observed in May in South Korea (Kangwon National University database) (RR, 2.11; 95% CI, 1.47-3.02) and June in the UK (RR, 1.96; 95% CI, 1.24-3.09). The rates of antipsychotic drug prescribing in these 6 databases remained high in 2021. Interrupted time series analyses revealed immediate increases in the prescribing rate in Italy (RR, 1.31; 95% CI, 1.08-1.58) and in the US Medicare database (RR, 1.43; 95% CI, 1.20-1.71) after the introduction of COVID-19 restrictions.

Conclusions and Relevance

This cohort study found converging evidence that the rate of antipsychotic drug prescribing to people with dementia increased in the initial months of the COVID-19 pandemic in the 6 countries studied and did not decrease to prepandemic levels after the acute phase of the pandemic had ended. These findings suggest that the pandemic disrupted the care of people living with dementia and that the development of intervention strategies is needed to ensure the quality of care.

Dementia and psychotropic medications are associated with significantly higher mortality in geriatric patients hospitalized with COVID-19: data from the StockholmGeroCovid project

BACKGROUND

Dementia and psychotropic medications are discussed as risk factors for severe/lethal outcome of the coronavirus disease 2019 (COVID-19). We aimed to explore the associations between the presence of dementia and medication use with mortality in the hospitalized and discharged patients who suffered from COVID-19.

METHODS

We conducted an open-cohort observational study based on electronic patient records from nine geriatric care clinics in the larger Stockholm area, Sweden, between February 28, 2020, and November 22, 2021. In total, we identified 5122 hospitalized patients diagnosed with COVID-19, out of which 762 (14.9%) patients had concurrent dementia and 4360 (85.1%) were dementia-free. Patients' age, sex, baseline oxygen saturation, comorbidities, and medication prescription (cardiovascular and psychotropic medication) were registered at admission. The hazard ratios (HRs) with 95% confidence intervals (CIs) of in-hospital, 30-day, 90-day, 365-day post-discharge, and overall mortality during the follow-up were obtained. Then, the associations of dementia and medication use with mortality were determined using proportional hazards regression with time since entry as a time scale.

RESULTS

After adjustment, dementia was independently associated with 68% higher in-hospital mortality among COVID-19 patients compared to patients who were dementia-free at admission [HRs (95% CI) 1.68 (1.37-2.06)]. The increase was consistent post-discharge, and the overall mortality of dementia patients was increased by 59% [1.59 (1.40-1.81)]. In addition, the prescription of antipsychotic medication at hospital admission was associated with a 70% higher total mortality risk [1.70 (1.47-1.97)].

CONCLUSIONS

The clinical co-occurence of dementia and COVID-19 increases the short- and long-term risk of death, and the antipsychotics seem to further the risk increase. Our results may help identify high-risk patients in need of more specialized care when infected with COVID-19.

Implications of Adverse Outcomes Associated with Antipsychotics in Older Patients with Dementia: A 2011-2022 Update

Neuropsychiatric symptoms affect most patients with dementia over the course of the disease. They include a wide variety of symptoms from apathy and depression to psychosis, irritability, impulsivity and agitation. These symptoms are associated with significant distress to the patient and caregivers, as well as more rapid progression of dementia, institutionalisation and higher mortality. The first-line management of the neuropsychiatric symptoms of dementia should be non-pharmacological. If medications are required, antipsychotics are commonly chosen. Second-generation antipsychotics such as risperidone, olanzapine, quetiapine and aripiprazole are prescribed more often than first-generation antipsychotics, such as haloperidol. The aim of this review is to provide an update on findings on adverse outcomes and clinical implications of antipsychotic use in dementia. These medications may increase mortality and can be associated with adverse events including pneumonia, cerebrovascular events, parkinsonian symptoms or higher rates of venous thromboembolism. Risks related to antipsychotic use in dementia are moderated by a number of modifiable and non-modifiable factors such as co-prescribing of other medications, medical and psychiatric co-morbidities, and demographics such as age and sex, making individualised treatment decisions challenging. Antipsychotics have further been associated with an increased risk of reliance on long-term care and institutionalisation, and they might not be cost-effective for healthcare systems. Many of these risks can potentially be mitigated by close physical health monitoring of antipsychotic treatment, as well as early withdrawal of pharmacotherapy when clinically possible.

Psychotropic drug repurposing for COVID-19: A Systematic Review and Meta-Analysis

Several psychotropic drugs, including antidepressants (AD), mood stabilizers, and antipsychotics (AP) have been suggested to have favorable effects in the treatment of COVID-19. The aim of this systematic review and meta-analysis was to collect evidence from studies concerning the scientific evidence for the repurposing of psychotropic drugs in COVID-19 treatment. Two independent authors searched PubMed-MEDLINE, Scopus, PsycINFO, and ClinicalTrials.gov databases, and reviewed the reference lists of articles for eligible articles published up to 13th December 2021. All computational, preclinical and clinical (observational and/or RCTs) studies on the effect of any psychotropic drug on Sars-CoV-2 or patients with COVID-19 were considered for inclusion. We conducted random effect meta-analyses on clinical studies reporting the effect of AD or AP on COVID-19 outcomes. 29 studies were included in the synthesis: 15 clinical, 9 preclinical, and 5 computational studies. 9 clinical studies could be included in the quantitative analyses. AD did not increase the risk of severe COVID-19 (RR= 1.71; CI 0.65-4.51) or mortality (RR=0.94; CI 0.81-1.09). Fluvoxamine was associated with a reduced risk of mortality for COVID-19 (OR=0.15; CI 0.02-0.95). AP increased the risk of severe COVID-19 (RR=3.66; CI 2.76-4.85) and mortality (OR=1.53; CI 1.15-2.03). Fluvoxamine might be a possible candidate for psychotropic drug repurposing in COVID-19 due to its anti-inflammatory and antiviral potential, while evidence on other AD is still controversial. Although AP are associated with worse COVID-19 outcomes, their use should be evaluated case to case and ongoing treatment with antipsychotics should be not discontinued in psychiatric patients.

Excess Mortality Among Assisted Living Residents With Dementia During the COVID-19 Pandemic

Objective

To evaluate whether assisted living (AL) residents with Alzheimer’s disease and related dementias (ADRD) experienced a greater rate of excess all-cause mortality during the first several months of the COVID-19 pandemic compared to residents without ADRD, and to compare excess all-cause mortality rates in memory care vs general AL among residents with ADRD.

Design

Retrospective cohort study.

Setting and Participants

Two cohorts of AL residents enrolled in Medicare Fee-For-Service who resided in 9-digit ZIP codes corresponding to US AL communities of ≥25 beds during calendar year 2019 or 2020.

Method

By linking Medicare claims and Vital Statistics data, we examined the weekly excess all-cause mortality rate, comparing the rate from March 12, 2020, to December 31, 2020, to the rate from January 1, 2019, to March 11, 2020. We adjusted for demographics, chronic conditions, AL community size, and county fixed effects.

Results

Of the 286,350 residents in 2019 and the 273,601 in 2020 identified in these cohorts, approximately 31% had a diagnosis of ADRD. Among all AL residents, the excess weekly mortality rate in 2020 was 49.1 per 100,000 overall during the pandemic. Compared to residents without ADRD, residents with ADRD experienced 33.4 more excess deaths per 100,000 during the pandemic. Among residents with ADRD, those who resided in memory care communities did not experience a statistically significant different mortality rate than residents who lived in general AL.

Conclusions and Implications

AL residents with ADRD were more vulnerable to mortality during COVID-19 than residents without ADRD, a finding similar to those reported in other settings such as nursing homes. Additionally, the study provides important new information that residents with ADRD in memory care communities may not have been at differential risk of COVID-19 mortality when compared to residents with ADRD in general AL, despite prior research suggesting they have more advanced dementia.