Trends in New Use of Disease-Modifying Antirheumatic Drugs in Juvenile Idiopathic Arthritis Among Commercially Insured Children in the United States from 2001-2022.

OBJECTIVE: To describe recent trends in DMARD use for children with juvenile idiopathic arthritis (JIA) in the US. METHODS: We used commercial claims data (2000-2022) to perform a serial cross-sectional utilization study of children ages 1-18 diagnosed with JIA. Initiations of conventional synthetic (cs), biologic (b), or targeted synthetic (ts) DMARDs were identified after a ≥12-month baseline and expressed as percentage of all new DMARD initiations per year, by category, class, and individual agent. Trends were evaluated using linear regression. Secondarily, we examined first b/tsDMARDs initiated after csDMARD monotherapy. RESULTS: We identified 20,258 new DMARD use episodes among 13,696 individuals (median age 14 years, 67.5% female). csDMARDs, while most commonly used overall, declined from 89.5% of new use episodes to 43.2% (2001-2022, p<0.001 for trend). In contrast, bDMARD use increased (10.5-50.0%, p<0.001). For tumor necrosis factor inhibitors (TNFi), etanercept peaked at 28.3% (2006) and declined to 4.2% (2022) (p=0.002). Meanwhile, adalimumab use doubled (7.0-14.0%, 2007-2008) after JIA approval, increasing further following a less painful formulation release (20.5%, 2022, p<0.001). However, overall TNFi use has declined with increasing use of other b/tsDMARDs, particularly ustekinumab, secukinumab, and tofacitinib. By 2022, adalimumab was the most common b/tsDMARD initiated first after csDMARDs (77.8%). CONCLUSION: Among commercially insured children with JIA in the US, new b/tsDMARD use is rising while new csDMARD use declines. For b/tsDMARDs, adalimumab is most used and the predominant b/tsDMARD initiated first after csDMARDs. Patterns in DMARD use for JIA have evolved relative to multiple factors, including regulatory approvals and tolerability.

Age and Hair Cortisol Levels as Predictors of SARS-CoV-2 Infection.

Chronic psychosocial stress is known to adversely impact immune function. During the SARS-CoV-2 pandemic, occupational stress among workers in healthcare was at an unprecedented level due to risks of infection and work demands. We performed a nested case-control study to investigate the associations between chronic stress and the risks of contracting SARS-CoV-2. We collected 3 cm of hair from employees at an academic medical center who tested positive for SARS-CoV-2 (N = 49) and controls who tested negative (N = 49), matched for age, race, and sex. The diagnosis of SARS-CoV-2 was based on polymerase chain reaction or antibody tests. As a proxy for chronic stress, we segmented hair into 1 cm sections each representing one month and measured cortisol levels using a cortisol enzyme-linked immunosorbent assay. For cases, we used cortisol concentrations measured in hair segments from the month prior to a positive SARS-CoV-2 test, and for controls, we used time-matched hair segments. We fitted conditional logistic regression models adjusted for sex, age, race, body mass index, and healthcare worker status, and stratified models by older vs. younger age (cutoff = 41 years). African Americans had higher hair cortisol levels relative to participants of other races and ethnicities. In adjusted models, higher hair cortisol concentrations were associated with an increased odds of infection with SARS-CoV-2 (OR = 1.84; CI: 1.10-3.07) among older, but not younger, participants. The results suggest that psychosocial stress may be a risk factor for SARS-CoV-2 infection; stress management may be an important part of a comprehensive approach to protect against SARS-CoV-2 infection.

Long-term recovery of taste and smell following acute COVID-19 infection in a New Jersey cohort.

Loss of taste and smell is one of the most troubling symptoms of long COVID and may be permanent for some. Correlation between subjectively and objectively assessed olfactory and gustatory impairment is low, leading to uncertainty about how many people are affected, how many recover, and to what extent. We prospectively investigated the effects of COVID-19 on long-term chemosensory function in a university and hospital-based cohort in NJ. We followed 856 participants from March 2020 through April 2022, of which 58 were diagnosed with COVID-19 and completed the NHANES 2013-2014 taste and smell protocol, including a chemosensory questionnaire, whole-mouth taste tests, and an 8-item odor identification test at and/or before acute COVID-19 infection. Of these, 29 repeated taste and smell assessments at 6 months (183.0 ± 54.6) follow-up. Total overall smell score significantly improved from baseline to 6-month follow up (6.9 ± 1.4 vs 7.6 ± 0.8; p = .01). Taste intensity also improved across 6 months, but not significantly. Our study is the first to show psychophysically-assessed and self-reported long-term recovery of olfactory and gustatory function in the same population after acute COVID-19.

Effects of antimicrobial exposure on the risk of Parkinson's disease.

BACKGROUND: We aimed to assess how antimicrobial exposure affects Parkinson's disease (PD) risk. METHODS: A nested case-control study was performed to examine the association between antimicrobial exposure and newly diagnosed PD using the Clinical Practice Research Datalink (CPRD). Each PD case was matched by age, sex, and year of diagnosis (index date) to up to 15 controls. Number of prescribed antimicrobial courses was assessed 1-5, 6-10, and 11-15 years prior to the index date. Logistic regression with generalized estimating equations (GEE) was used to estimate odds ratios (ORs) and false discovery rate-adjusted p-values between antimicrobial exposure and risk of PD. RESULTS: We compared 12,557 PD cases with 80,804 matched controls. We found an inverse dose-response relationship between number of penicillin courses and PD risk across multiple time periods (5+ courses, 1-5 years prior: OR 0.85, 95 % CI 0.76-0.95, p = 0.043; 6-10 years prior: OR 0.84, 95 % CI: 0.73-0.95, p = 0.059; 11-15 years prior: OR 0.87, 95 % CI 0.74-1.02, p = 0.291). The number of macrolide courses was inversely but not significantly associated with PD risk 1-5 years prior to the index date (OR 0.89-0.91, 95 % CI: 0.79-0.99, adjusted p = 0.140-0.167). Exposure to ≥2 courses of antifungals 1-5 years prior was associated with an increased risk of PD (OR 1.16, 95 % CI: 1.06-1.27, p = 0.020). CONCLUSIONS: In a large UK-representative population, the risk of PD was modestly lower among adults who had previously received multiple courses of penicillins in the last 15 years and modestly higher among those exposed to antifungal medicines in recent years.

Validation of new medication use algorithms as proxies for worsening disease activity in patients with juvenile idiopathic arthritis.

PURPOSE: To facilitate claims-based research on populations with juvenile idiopathic arthritis (JIA), we sought to validate an algorithm of new medication use as a proxy for worsening JIA disease activity. METHODS: Using electronic health record data from three pediatric centers, we defined new JIA medication use as (re)initiation of disease-modifying antirheumatic drugs or glucocorticoids (oral or intra-articular). Data were collected from 201 randomly selected subjects with (101) or without (100) new medication use. We assessed the positive predictive value (PPV) and negative predictive value (NPV) based on a reference standard of documented worsening of JIA disease activity. The algorithm was refined to optimize test characteristics. RESULTS: Overall, the medication-based algorithm had suboptimal performance in representing worsening JIA disease activity (PPV 69.3%, NPV 77.1%). However, algorithm performance improved for definitions specifying longer times after JIA diagnosis (≥1-year post-diagnosis: PPV 82.9%, NPV 80.0%) or after initiation of prior JIA treatment (≥1-year post-treatment: PPV 89.7%, NPV 80.0%). CONCLUSION: An algorithm for new JIA medication use appears to be a reasonable proxy for worsening JIA disease activity, particularly when specifying new use ≥1 year since initiating a prior JIA medication. This algorithm will be valuable for conducting research on JIA populations within administrative claims databases.

Validity of ICD-10-based algorithms to identify patients with influenza in inpatient and outpatient settings.

PURPOSE: To evaluate the validity of ICD-10-CM code-based algorithms as proxies for influenza in inpatient and outpatient settings in the USA. METHODS: Administrative claims data (2015-2018) from the largest commercial insurer in New Jersey (NJ), USA, were probabilistically linked to outpatient and inpatient electronic health record (EHR) data containing influenza test results from a large NJ health system. The primary claims-based algorithms defined influenza as presence of an ICD-10-CM code for influenza, stratified by setting (inpatient/outpatient) and code position for inpatient encounters. Test characteristics and 95% confidence intervals (CIs) were calculated using test-positive influenza as a reference standard. Test characteristics of alternative outpatient algorithms incorporating CPT/HCPCS testing codes and anti-influenza medication pharmacy claims were also calculated. RESULTS: There were 430 documented influenza test results within the study period (295 inpatient, 135 outpatient). The claims-based influenza definition had a sensitivity of 84.9% (95% CI 72.9%-92.1%), specificity of 96.3% (95% CI 93.1%-98.0%), and PPV of 83.3% (95% CI 71.3%-91.0%) in the inpatient setting, and a sensitivity of 76.7% (95% CI 59.1%-88.2%), specificity of 96.2% (95% CI 90.6%-98.5%), PPV of 85.2% (95% CI 67.5%-94.1%) in the outpatient setting. Primary inpatient discharge diagnoses had a sensitivity of 54.7% (95% CI 41.5%-67.3%), specificity of 99.6% (95% CI 97.7%-99.9%), and PPV of 96.7% (95% CI 83.3%-99.4%). CPT/HCPCS codes and anti-influenza medication claims were present for few outpatient encounters (sensitivity 3%-10%). CONCLUSIONS: In a large US healthcare system, inpatient ICD-10-CM codes for influenza, particularly primary inpatient diagnoses, had high predictive value for test-positive influenza. Outpatient ICD-10-CM codes were moderately predictive of test-positive influenza.

Psychiatric comorbidities and prescribing tendencies of sleep medications and related medications in young people with insomnia: a United States commercial claims-based analysis.

STUDY OBJECTIVES: To characterize children and youth newly diagnosed with insomnia and to describe their use of sleep and other related prescription medications. METHODS: Within a commercial claims database (January 1, 2016-December 31, 2021), we identified children and youth (2-24 years) with a newly recorded insomnia diagnosis (G47.0x; F51.0x) and examined psychiatric diagnoses in the prior 6 months. We evaluated sleep and related prescription medications dispensed in the week after new insomnia diagnoses (i.e. trazodone, other antidepressants, hydroxyzine, alpha-agonists, benzodiazepines, non-benzodiazepine hypnotics "z-drugs," antipsychotics, and others). Analyses were stratified by age and psychiatric comorbidities. RESULTS: Among 68 698 children and 108 118 older youth (18-24 years) with a new insomnia diagnosis, three-quarters had a diagnosed comorbid psychiatric condition; anxiety disorders, depression, and ADHD were the most common. Among those without comorbid psychiatric diagnoses, 20.2% of children and 37.4% of older youth had a sleep or related medication dispensed in the following week. In children without a comorbid psychiatric diagnosis, alpha-agonists, hydroxyzine, and trazodone were the most common medications; in older youth, trazodone was the most common medication followed by hydroxyzine, z-drugs, and SSRIs. Sleep and related prescription medications were more commonly dispensed to those with psychiatric comorbidities. From 2017 to 2021, there was an increase in hydroxyzine prescriptions following a new insomnia diagnosis and decline in z-drug and benzodiazepine prescriptions. CONCLUSIONS: Our findings from a nationwide sample of young people with insomnia highlight the high prevalence of psychiatric comorbidities and variety of sleep and related medications they receive. Characterizing prescribing tendencies informs guideline development and future research.

A genetically modulated Toll-like-receptor-tolerant phenotype in peripheral blood cells of children with multisystem inflammatory syndrome.

Dysregulated innate immune responses contribute to multisystem inflammatory syndrome in children (MIS-C), characterized by gastrointestinal, mucocutaneous, and/or cardiovascular injury occurring weeks after SARS-CoV-2 exposure. To investigate innate immune functions in MIS-C, we stimulated ex vivo peripheral blood cells from MIS-C patients with agonists of Toll-like receptors (TLR), key innate immune response initiators. We found severely dampened cytokine responses and elevated gene expression of negative regulators of TLR signaling. Increased plasma levels of zonulin, a gut leakage marker, were also detected. These effects were also observed in children enrolled months after MIS-C recovery. Moreover, cells from MIS-C children carrying rare genetic variants of lysosomal trafficking regulator (LYST) were less refractory to TLR stimulation and exhibited lysosomal and mitochondrial abnormalities with altered energy metabolism. Our results strongly suggest that MIS-C hyperinflammation and/or excessive or prolonged stimulation with gut-originated TLR ligands drive immune cells to a lasting refractory state. TLR hyporesponsiveness is likely beneficial, as suggested by excess lymphopenia among rare LYST variant carriers. Our findings point to cellular mechanisms underlying TLR hyporesponsiveness; identify genetic determinants that may explain the MIS-C clinical spectrum; suggest potential associations between innate refractory states and long COVID; and highlight the need to monitor long-term consequences of MIS-C.

Overview of global real-world data sources for pediatric pharmacoepidemiologic research.

PURPOSE: Given limited information available on real-world data (RWD) sources with pediatric populations, this study describes features of globally available RWD sources for pediatric pharmacoepidemiologic research. METHODS: An online questionnaire about pediatric RWD sources and their attributes and capabilities was completed by members and affiliates of the International Society for Pharmacoepidemiology and representatives of nominated databases. All responses were verified by database representatives and summarized. RESULTS: Of 93 RWD sources identified, 55 unique pediatric RWD sources were verified, including data from Europe (47%), United States (38%), multiregion (7%), Asia-Pacific (5%), and South America (2%). Most databases had nationwide coverage (82%), contained electronic health/medical records (47%) and/or administrative claims data (42%) and were linkable to other databases (65%). Most (71%) had limited outside access (e.g., by approval or through local collaborators); only 10 (18%) databases were publicly available. Six databases (11%) reported having >20 million pediatric observations. Most (91%) included children of all ages (birth until 18th birthday) and contained outpatient medication data (93%), while half (49%) contained inpatient medication data. Many databases captured vaccine information for children (71%), and one-third had regularly updated data on pediatric height (31%) and weight (33%). Other pediatric data attributes captured include diagnoses and comorbidities (89%), lab results (58%), vital signs (55%), devices (55%), imaging results (42%), narrative patient histories (35%), and genetic/biomarker data (22%). CONCLUSIONS: This study provides an overview with key details about diverse databases that allow researchers to identify fit-for-purpose RWD sources suitable for pediatric pharmacoepidemiologic research.

Acid-suppressive medication and incidence of chronic childhood immune-mediated diseases: A scoping review.

BACKGROUND: Use of acid-suppressive medications (ASMs), for example, proton pump inhibitors (PPIs) and histamine-2 receptor antagonists (H2RAs), has been rising along with the incidence of pediatric immune-mediated diseases (IMDs). We conducted a scoping review to characterize the literature about prenatal or pediatric exposure to ASMs in relation to incident pediatric IMDs. METHODS: Electronic searches were conducted to identify studies from 2001 to 2023 on (a) prenatal or pediatric exposure to PPIs and/or H2RAs and (b) the risk of developing chronic IMDs during childhood. Eligible studies after title/abstract and full-text screening underwent data abstraction. RESULTS: Of 26 eligible studies, 11 focused on prenatal ASM exposure and 16 on pediatric exposure. Asthma was the most commonly investigated outcome (16 studies), followed by other allergic diseases (8), eosinophilic esophagitis (3), inflammatory bowel disease (2), and other autoimmune diseases (2). Positive associations between ASM exposure and pediatric IMD outcomes emerged in all but two recent studies, which reported null or negative associations with allergic diseases. The strength of associations was similar across exposure times (prenatal/pediatric), medications (PPIs/H2RAs), and outcomes. Dose-response relationships were often present (7/11 studies). Reported effects by trimester and age of exposure varied. Commonly reported limitations were residual confounding, exposure misclassification, and outcome misclassification. CONCLUSION: In summary, prenatal or pediatric exposure to PPIs and/or H2RAs has frequently, but not exclusively, been associated with the development of asthma, other allergic diseases, and chronic gastrointestinal IMDs. However, concerns remain about confounding and other sources of bias. Prescribers and families should be aware of these possible risks of ASMs.

Impact of the COVID-19 Pandemic on the Management of Juvenile Idiopathic Arthritis: Analysis of United States Commercial Insurance Data.

BACKGROUND/OBJECTIVE: Given limited information on health care and treatment utilization for juvenile idiopathic arthritis (JIA) during the pandemic, we studied JIA-related health care and treatment utilization in a commercially insured retrospective US cohort. METHODS: We studied rates of outpatient visits, new disease-modifying antirheumatic drug (DMARD) initiations, intra-articular glucocorticoid injections (iaGC), dispensed oral glucocorticoids and opioids, DMARD adherence, and DMARD discontinuation by quarter in March 2018-February 2021 (Q1 started in March). Incident rate ratios (IRR, pandemic vs prepandemic) with 95% confidence intervals (CIs) were estimated using multivariable Poisson or Quasi-Poisson models stratified by diagnosis recency (incident JIA, <12 months ago; prevalent JIA, ≥12 months ago). RESULTS: Among 1294 children diagnosed with JIA, total and in-person outpatient visits for JIA declined during the pandemic (IRR, 0.88-0.90), most markedly in Q1 2020. Telemedicine visits, while higher during the pandemic, declined from 21% (Q1) to 13% (Q4) in 2020 to 2021. During the pandemic, children with prevalent JIA, but not incident JIA, had lower usage of iaGC (IRR, 0.60; 95% CI, 0.34-1.07), oral glucocorticoids (IRR, 0.47; 95% CI, 0.33-0.67), and opioids (IRR, 0.44; 95% CI, 0.26-0.75). Adherence to and discontinuation of DMARDs was similar before and during the pandemic. CONCLUSIONS: In the first year of the pandemic, visits for JIA dropped by 10% to 12% in commercially insured children in the United States, declines partly mitigated by use of telemedicine. Pandemic-related declines in intra-articular glucocorticoids, oral glucocorticoids, and opioids were observed for children with prevalent, but not incident, JIA. These changes may have important implications for disease control and quality of life.

Initiation Patterns of Disease-Modifying Therapies for Multiple Sclerosis Among US Adults and Children, 2001 Through 2020.

Importance: Many disease-modifying therapies (DMTs) have been approved for multiple sclerosis (MS) in the past 2 decades. Research evaluating how these approvals have changed real-world prescribing patterns is scarce. Objective: To evaluate patterns in DMT initiations between 2001 and 2020 among commercially insured US adults and children with MS. Design, Setting, and Participants: This serial cross-sectional study was conducted from 2001 through 2020 (mean patient enrollment duration, 4.8 years) and used US commercial claims data (MarketScan). Analysis took place between January 2022 and March 2023. Of 287 084 patients with MS identified, 113 583 patients (113 095 adults and 488 children) with MS newly initiated at least 1 DMT. Exposure: New initiation episode of a DMT, defined as no claim for the same DMT in the previous year. Main Outcome Measure: The proportion of total DMT initiations per year attributable to each DMT. Trends in initiations were evaluated annually. Results: The study team identified 153 846 DMT initiation episodes among adults (median age, 46 [IQR, 38-53) years]; 86 133 female [76.2%]) and 583 among children (median age, 16 (IQR, 14-17) years; 346 female [70.9%]). Among adults, use of platform injectables showed an absolute decline of 73.8% over the study period, driven by a 61.2% reduction in interferon ß initiations (P < .001 for trend). In contrast, the 2010 introduction of oral DMTs led to a rise in their use from 1.1% (2010) to 62.3% (2020) of all DMT initiations (P = .002 for trend). Infusion therapy initiations remained relatively low, accounting for 3.2% of all initiations since their introduction in 2004 but increased modestly annually after ocrelizumab was introduced (2017), reaching 8.2% of all initiations in 2020 (P < .001 for trend). Children showed similar initiation patterns, except for preferred oral therapy. Between 2019 and 2020, dimethyl fumarate was the most commonly initiated DMT in adults (23.3% to 27.2% of all initiations), while in children fingolimod was the most commonly initiated (34.8% to 68.8%). Conclusions and Relevance: Current MS treatment guidelines emphasize shared decision-making between patients and clinicians to balance treatment efficacy, safety, cost, and convenience. This study found that oral DMTs were the predominant DMT type initiated by 2020. The cause of this shift cannot be determined from this study, but may reflect several factors, including convenience of administration, direct-to-consumer advertising, or insurance restrictions.

Saliva microbiome in relation to SARS-CoV-2 infection in a prospective cohort of healthy US adults.

BACKGROUND: The clinical outcomes of SARS-CoV-2 infection vary in severity, potentially influenced by the resident human microbiota. There is limited consensus on conserved microbiome changes in response to SARS-CoV-2 infection, with many studies focusing on severely ill individuals. This study aimed to assess the variation in the upper respiratory tract microbiome using saliva specimens in a cohort of individuals with primarily mild to moderate disease. METHODS: In early 2020, a cohort of 831 adults without known SARS-CoV-2 infection was followed over a six-month period to assess the occurrence and natural history of SARS-CoV-2 infection. From this cohort, 81 participants with a SARS-CoV-2 infection, along with 57 unexposed counterparts were selected with a total of 748 serial saliva samples were collected for analysis. Total bacterial abundance, composition, population structure, and gene function of the salivary microbiome were measured using 16S rRNA gene and shotgun metagenomic sequencing. FINDINGS: The salivary microbiome remained stable in unexposed individuals over the six-month study period, as evidenced by all measured metrics. Similarly, participants with mild to moderate SARS-CoV-2 infection showed microbiome stability throughout and after their infection. However, there were significant reductions in microbiome diversity among SARS-CoV-2-positive participants with severe symptoms early after infection. Over time, the microbiome diversity in these participants showed signs of recovery. INTERPRETATION: These findings demonstrate the resilience of the salivary microbiome in relation to SARS-CoV-2 infection. Mild to moderate infections did not significantly disrupt the stability of the salivary microbiome, suggesting its ability to maintain its composition and function. However, severe SARS-CoV-2 infection was associated with temporary reductions in microbiome diversity, indicating the limits of microbiome resilience in the face of severe infection. FUNDING: This project was supported in part by Danone North America and grants from the National Institutes of Health, United States.

Optimizing therapeutic decision-making for off-label medicines use: A scoping review and consensus recommendations for improving practice and research.

PURPOSE: Off-label medicines use is a common and sometimes necessary practice in many populations, with important clinical, ethical and financial consequences, including potential unintended harm or lack of effectiveness. No internationally recognized guidelines exist to aid decision-makers in applying research evidence to inform off-label medicines use. We aimed to critically evaluate current evidence informing decision-making for off-label use and to develop consensus recommendations to improve future practice and research. METHODS: We conducted a scoping review to summarize the literature on available off-label use guidance, including types, extent and scientific rigor of evidence incorporated. Findings informed the development of consensus recommendations by an international multidisciplinary Expert Panel using a modified Delphi process. Our target audience includes clinicians, patients and caregivers, researchers, regulators, sponsors, health technology assessment bodies, payers and policy makers. RESULTS: We found 31 published guidance documents on therapeutic decision-making for off-label use. Of 20 guidances with general recommendations, only 35% detailed the types and quality of evidence needed and the processes for its evaluation to reach sound, ethical decisions about appropriate use. There was no globally recognized guidance. To optimize future therapeutic decision-making, we recommend: (1) seeking rigorous scientific evidence; (2) utilizing diverse expertise in evidence evaluation and synthesis; (3) using rigorous processes to formulate recommendations for appropriate use; (4) linking off-label use with timely conduct of clinically meaningful research (including real-world evidence) to address knowledge gaps quickly; and (5) fostering partnerships between clinical decision-makers, researchers, regulators, policy makers, and sponsors to facilitate cohesive implementation and evaluation of these recommendations. CONCLUSIONS: We provide comprehensive consensus recommendations to optimize therapeutic decision-making for off-label medicines use and concurrently drive clinically relevant research. Successful implementation requires appropriate funding and infrastructure support to engage necessary stakeholders and foster relevant partnerships, representing significant challenges that policy makers must urgently address.

Childhood asthma diagnoses declined during the COVID-19 pandemic in the United States.

BACKGROUND: Prior studies have documented declines in pediatric asthma exacerbations and asthma-related health care utilization during the COVID-19 pandemic, but less is known about the incidence of asthma during the pandemic. METHODS: We conducted a retrospective cohort study of children under age 18 without a prior diagnosis of asthma within a large US commercial claims database. Incident asthma was defined using a combination of diagnosis codes, location of services, and medication dispensing. Crude quarterly rates of asthma diagnosis per 1000 children were calculated, and the incidence rate ratio and 95% confidence interval were estimated for newly diagnosed asthma during versus before the pandemic using negative binomial regression, adjusted for age, sex, region, and season. RESULTS: Compared with 3 years prior to the pandemic, crude incident diagnosis rates of asthma decreased by 52% across the first four quarters of the US pandemic. The covariate-adjusted pandemic-associated incidence rate ratio was 0.47 (95% confidence interval 0.43, 0.51). CONCLUSIONS: New diagnoses of childhood asthma in the US declined by half during the first year of the pandemic. These findings raise important questions whether pandemic-related changes in infectious or other triggers truly altered the incidence of childhood asthma beyond the well-described disruptions in healthcare access.

Geographic Trends in Pediatric Psychotropic Medication Dispensing Before and After the Start of the COVID-19 Pandemic.

OBJECTIVE: This study examined trends and geographic variability in dispensing of prescription psychotropic medications to U.S. youths before and after the start of the COVID-19 pandemic. METHODS: Using national data on prescription medication dispensing, the authors performed a cross-sectional study examining the monthly percent change in psychotropic medications dispensed (total N=95,639,975) to youths (ages 5-18 years) in 2020 versus 2019, across medication classes and geographic regions. RESULTS: For many medications, more were dispensed in March 2020 than in March 2019 and fewer in April-May 2020 versus April-May 2019. Stimulants had the largest decline: -26.4% in May 2020 versus May 2019. The magnitude of the monthly percent change varied by region. CONCLUSIONS: Fewer psychotropic medications were dispensed to U.S. youths after the start of the COVID-19 pandemic compared with 2019. Although some medication classes rebounded to prepandemic dispensing levels by September 2020, dispensing varied by class and region.

Prevalence and treatment of mental, behavioral, and developmental disorders in children with co-occurring autism spectrum disorder and attention-deficit/hyperactivity disorder: A population-based study.

There is a lack of nationally representative studies examining the co-occurrence of autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) in children. This study examines comorbid mental, behavioral, and developmental disorders (MBDDs) and associated treatment modalities for children with co-occurring ASD and ADHD. Cross-sectional analyses were conducted using data from the pooled 2016-2018 National Survey of Children's Health (sample n = 102,341). Nationally representative prevalences were estimated for sociodemographic variables, comorbidities, psychotropic medication, and behavioral treatment. We assessed multivariable associations between co-occurring ASD + ADHD and MBDDs, use of psychotropic medication, and receipt of behavioral treatment after adjustment for sociodemographic confounders. Compared to children with ASD without co-occurring ADHD, children with ASD + ADHD had higher prevalence of most MBDDs, including anxiety (AOR 4.03 [95% CI 2.77, 4.87]), depression (AOR 3.08 [95% CI 1.77, 5.36]), behavior or conduct problems (AOR 4.06 [95% CI 2.72, 6.06]), and other mental health conditions. Similarly, compared to children with ADHD without ASD, children with ASD + ADHD had higher odds of anxiety (AOR 3.49 [95% CI 2.65, 4.61]), depression (AOR 1.67 [95% CI 1.21, 2.29]), behavior or conduct problems (AOR 2.31 [95% CI 1.68, 3.17]), and other mental health conditions. Children with ASD + ADHD were significantly more likely to take psychotropic medication than children with ASD without ADHD. Among children with ASD + ADHD, males had higher odds of receiving behavioral treatment, whereas older children and adolescents were more likely to take psychotropic medication. A multidisciplinary approach is necessary to support the complex needs of these children.

Hydroxychloroquine lowers Alzheimer's disease and related dementias risk and rescues molecular phenotypes related to Alzheimer's disease.

We recently nominated cytokine signaling through the Janus-kinase-signal transducer and activator of transcription (JAK/STAT) pathway as a potential AD drug target. As hydroxychloroquine (HCQ) has recently been shown to inactivate STAT3, we hypothesized that it may impact AD pathogenesis and risk. Among 109,124 rheumatoid arthritis patients from routine clinical care, HCQ initiation was associated with a lower risk of incident AD compared to methotrexate initiation across 4 alternative analyses schemes addressing specific types of biases including informative censoring, reverse causality, and outcome misclassification (hazard ratio [95% confidence interval] of 0.92 [0.83-1.00], 0.87 [0.81-0.93], 0.84 [0.76-0.93], and 0.87 [0.75-1.01]). We additionally show that HCQ exerts dose-dependent effects on late long-term potentiation (LTP) and rescues impaired hippocampal synaptic plasticity prior to significant accumulation of amyloid plaques and neurodegeneration in APP/PS1 mice. Additionally, HCQ treatment enhances microglial clearance of Aß1-42, lowers neuroinflammation, and reduces tau phosphorylation in cell culture-based phenotypic assays. Finally, we show that HCQ inactivates STAT3 in microglia, neurons, and astrocytes suggesting a plausible mechanism associated with its observed effects on AD pathogenesis. HCQ, a relatively safe and inexpensive drug in current use may be a promising disease-modifying AD treatment. This hypothesis merits testing through adequately powered clinical trials in at-risk individuals during preclinical stages of disease progression.

Association of Hydroxychloroquine Dose With Adverse Cardiac Events in Patients With Systemic Lupus Erythematosus.

OBJECTIVE: To determine whether hydroxychloroquine (HCQ) dose is associated with adverse cardiac outcomes in patients with systemic lupus erythematosus (SLE). METHODS: Patients with SLE taking HCQ and with ≥1 echocardiogram followed at a tertiary care center in the Bronx, New York between 2005 and 2021 were included. The HCQ weight-based dose at the HCQ start date was the main exposure of interest. The outcome was incident all-cause heart failure with reduced ejection fraction (HFrEF), life-threatening arrhythmia, or cardiac death. We used Fine-Gray regression models with death as a competing event to study the association of HCQ dose with the outcome. Due to a significant interaction between smoking and HCQ exposure, models were stratified by smoking status. Propensity score analysis was performed as a secondary analysis. RESULTS: Of 294 patients, 37 (13%) developed the outcome over a median follow-up time of 7.9 years (interquartile range [IQR] 4.2-12.3 years). In nonsmokers (n = 226), multivariable analysis adjusted for age, body mass index, hypertension, chronic kidney disease, diabetes mellitus, and thromboembolism showed that higher HCQ weight-based doses were not associated with an increased risk of the outcome (subdistribution hazard ratio [HR] 0.62 [IQR 0.41-0.92], P = 0.02). Similarly, higher baseline HCQ doses were not associated with a higher risk of the outcome among smokers (n = 68) (subdistribution HR 0.85 [IQR 0.53-1.34] per mg/kg, P = 0.48). Propensity score analysis showed comparable results. CONCLUSION: Higher HCQ doses were not associated with an increased risk of HFrEF, life-threatening arrhythmia, or cardiac death among patients with SLE and may decrease the risk among nonsmokers.

Disease Recapture Rates After Medication Discontinuation and Flare in Juvenile Idiopathic Arthritis: An Observational Study Within the Childhood Arthritis and Rheumatology Research Alliance Registry.

OBJECTIVE: Children with well-controlled juvenile idiopathic arthritis (JIA) frequently experience flares after medication discontinuation, but the outcomes of these flares have not been well described. The objective of this study was to characterize the rates and predictors of disease recapture among children with JIA who restarted medication to treat disease flare. METHODS: Children with JIA who discontinued conventional synthetic or biologic disease-modifying antirheumatic drugs for well-controlled disease but subsequently experienced a flare and restarted medication were identified from the Childhood Arthritis and Rheumatology Research Alliance (CARRA) registry. The primary outcome was inactive disease (ID) (physician global assessment <1 and active joint count = 0) 6 months after flare. RESULTS: A total of 333 patients had complete data for ID at 6 months after flare. The recapture rate for the cohort was 55%, ranging from 47% (persistent oligoarthritis) to 69% (systemic arthritis) (P = 0.4). Approximately 67% of children achieved ID by 12 months. In the multivariable model, history and reinitiation of biologic drugs were associated with increased odds of successful recapture (odds ratio [OR] 4.79 [95% confidence interval (95% CI) 1.22-18.78] and OR 2.74 [95% CI 1.62-4.63], respectively). Number of joints with limited range of motion was associated with decreased odds (OR 0.83 per 1 joint increase [95% CI 0.72-0.95]). CONCLUSION: Approximately half of JIA flares post-discontinuation were recaptured within 6 months, but rates of recapture varied across JIA categories. These findings inform shared decision-making for patients, families, and clinicians regarding the risks and benefits of medication discontinuation. Better understanding of biologic predictors of successful recapture in JIA are needed.