Validation of alopecia coding in US claims data among women of childbearing age.

BACKGROUND: Accurately identifying alopecia in claims data is important to study this rare medication side effect. OBJECTIVES: To develop and validate a claims-based algorithm to identify alopecia in women of childbearing age. METHODS: We linked electronic health records from a large healthcare system in Massachusetts (Mass General Brigham) with Medicaid claims data from 2016 through 2018 to identify all women aged 18 to 50 years with an ICD-10 code for alopecia, including alopecia areata, androgenic alopecia, non-scarring alopecia, or cicatricial alopecia, from a visit to the MGB system. Using eight predefined algorithms to identify alopecia in Medicaid claims data, we randomly selected 300 women for whom we reviewed their charts to validate the alopecia diagnosis. Positive predictive values (PPVs) were computed for the primary algorithm and seven algorithm variations, stratified by race. RESULTS: Out of 300 patients with at least 1 ICD-10 code for alopecia in the Medicaid claims, 286 had chart-confirmed alopecia (PPV = 95.3%). The algorithm requiring two diagnosis codes plus one prescription claim for alopecia treatment identified 55 patients (PPV = 100%). The algorithm requiring 1 diagnosis code for alopecia plus 1 procedure claim for intralesional triamcinolone injection identified 35 patients (PPV = 100%). Across all 8 algorithms tested, the PPV varied between 95.3% and 100%. The PPV for alopecia ranged from 94% to 100% in White and 96%-100% in 48 non-White women. The exact date of alopecia onset was difficult to determine in charts. CONCLUSION: At least one recorded ICD-10 code for alopecia in claims data identified alopecia in women of childbearing age with high accuracy.

Improving the accuracy of automated gout flare ascertainment using natural language processing of electronic health records and linked Medicare claims data.

BACKGROUND: We aimed to determine whether integrating concepts from the notes from the electronic health record (EHR) data using natural language processing (NLP) could improve the identification of gout flares. METHODS: Using Medicare claims linked with EHR, we selected gout patients who initiated the urate-lowering therapy (ULT). Patients' 12-month baseline period and on-treatment follow-up were segmented into 1-month units. We retrieved EHR notes for months with gout diagnosis codes and processed notes for NLP concepts. We selected a random sample of 500 patients and reviewed each of their notes for the presence of a physician-documented gout flare. Months containing at least 1 note mentioning gout flares were considered months with events. We used 60% of patients to train predictive models with LASSO. We evaluated the models by the area under the curve (AUC) in the validation data and examined positive/negative predictive values (P/NPV). RESULTS: We extracted and labeled 839 months of follow-up (280 with gout flares). The claims-only model selected 20 variables (AUC = 0.69). The NLP concept-only model selected 15 (AUC = 0.69). The combined model selected 32 claims variables and 13 NLP concepts (AUC = 0.73). The claims-only model had a PPV of 0.64 [0.50, 0.77] and an NPV of 0.71 [0.65, 0.76], whereas the combined model had a PPV of 0.76 [0.61, 0.88] and an NPV of 0.71 [0.65, 0.76]. CONCLUSION: Adding NLP concept variables to claims variables resulted in a small improvement in the identification of gout flares. Our data-driven claims-only model and our combined claims/NLP-concept model outperformed existing rule-based claims algorithms reliant on medication use, diagnosis, and procedure codes.

"How" Versus "Why" Messaging to Increase Uptake of Booster Vaccination Against COVID-19: Results of a Pragmatic Randomized Trial.

BACKGROUND: Messages aimed at increasing uptake of vaccines have been modestly successful, perhaps in part because they often focus on why individuals should receive a vaccine. Construal Level Theory posits that messages emphasizing "how" to get a vaccine may be more effective at encouraging vaccination than emphasizing "why." This message framing may be particularly important for COVID-19 booster acceptance. OBJECTIVE: To determine if pre-visit patient portal messages designed using Construal Level Theory increase rates of COVID-19 booster vaccination. DESIGN AND INTERVENTIONS: This 3-arm randomized trial was conducted across three large, diverse primary care clinics in Massachusetts between February and May 2022, testing the impact of "how" versus "why" framed pre-visit messages versus no messages ("usual care"). Messages were sent by patient portal two business days before a visit. PARTICIPANTS: Adults with upcoming primary care visits who had electronic health record evidence of receiving their initial COVID-19 vaccination series but not a booster dose. MAIN MEASURES: Receipt of a COVID-19 booster vaccination after the message was sent through the visit date (primary outcome) or 6 weeks (secondary outcome). KEY RESULTS: A total of 3665 patients were randomized (mean age: 53.5 years (SD: 17.3), 59% female, 65.2% White, 26.6% Hispanic), with 1249 to "how" 1199 to "why," and 1217 to usual care arms. Except for clinic and preferred language, characteristics were well balanced across arms. Rates of COVID-19 booster were 13.6% (usual care), 11.7% ("how") (odds ratio (OR) "how" vs usual care: 0.87, 95%CI: 0.67-1.14), and 13.7% ("why") ("why" vs usual care: OR: 1.01, 95%CI: 0.81-1.28). At 6 weeks, "why" outperformed "how" for vaccination (OR: 1.26, 95%CI: 1.06-1.49), with no difference versus usual care. CONCLUSIONS: We found no differences on visit booster receipt after single pre-visit portal messages designed using Construal Level Theory. Further studies to identify effective messaging interventions are needed, especially as additional doses are recommended. CLINICAL TRIAL REGISTRATION: This trial is registered at clinicaltrials.gov, ID: NCT04871776 . Initial release occurred 04/30/2021.

Treatment Failure and Adverse Events After Amoxicillin-Clavulanate vs Amoxicillin for Pediatric Acute Sinusitis.

Importance: Acute sinusitis is one of the most common indications for antibiotic prescribing in children, with an estimated 4.9 million such prescriptions in the US annually. Consensus does not exist regarding the optimal empirical antibiotic. Objective: To compare amoxicillin-clavulanate vs amoxicillin for the treatment of acute sinusitis in outpatient children. Design, Setting, and Participants: Cohort study of children and adolescents aged 17 years or younger with a new outpatient diagnosis of acute sinusitis and a same-day new prescription dispensation of amoxicillin-clavulanate or amoxicillin in a nationwide health care utilization database. Propensity score matching was used to mitigate confounding. Exposure: A new prescription dispensation of amoxicillin-clavulanate or amoxicillin. Main Outcomes and Measures: Treatment failure, defined as an aggregate of a new antibiotic dispensation, emergency department or inpatient encounter for acute sinusitis, or inpatient encounter for a sinusitis complication, was assessed 1 to 14 days after cohort enrollment. Adverse events were evaluated, including gastrointestinal symptoms, hypersensitivity and skin reactions, acute kidney injury, and secondary infections. Results: The cohort included 320 141 patients. After propensity score matching, there were 198 942 patients (99 471 patients per group), including 100 340 (50.4%) who were female, 101 726 (51.1%) adolescents aged 12 to 17 years, 52 149 (26.2%) children aged 6 to 11 years, and 45 067 (22.7%) children aged 0 to 5 years. Treatment failure occurred in 1.7% overall; 0.01% had serious failure (an emergency department or inpatient encounter). There was no difference in the risk of treatment failure between the amoxicillin-clavulanate and amoxicillin groups (relative risk [RR], 0.98 [95% CI, 0.92-1.05]). The risk of gastrointestinal symptoms (RR, 1.15 [95% CI, 1.05-1.25]) and yeast infections (RR, 1.33 [95% CI, 1.16-1.54]) was higher with amoxicillin-clavulanate. After patients were stratified by age, the risk of treatment failure after amoxicillin-clavulanate was an RR of 0.98 (95% CI, 0.86-1.12) for ages 0 to 5 years; RR was 1.06 (95% CI, 0.92-1.21) for 6 to 11 years; and RR was 0.87 (95% CI, 0.79-0.95) for 12 to 17 years. The age-stratified risk of adverse events after amoxicillin-clavulanate was an RR of 1.23 (95% CI, 1.10-1.37) for ages 0 to 5 years; RR was 1.19 (95% CI, 1.04-1.35) for 6 to 11 years; and RR was 1.04 (95% CI, 0.95-1.14) for 12 to 17 years. Conclusions and Relevance: In children with acute sinusitis who were treated as outpatients, there was no difference in the risk of treatment failure between those who received amoxicillin-clavulanate compared with amoxicillin, but amoxicillin-clavulanate was associated with a higher risk of gastrointestinal symptoms and yeast infections. These findings may help inform decisions for empirical antibiotic selection in acute sinusitis.

Risk of Infection in Children With Psoriasis Receiving Treatment With Ustekinumab, Etanercept, or Methotrexate Before and After Labeling Expansion.

Importance: Psoriasis in children is increasingly treated with systemic medications, yet their risk of serious infection is not well characterized in clinical practice. Pediatric clinical trials for these medications were often small and placebo controlled. Objective: To estimate the 6-month rate of infections among children with psoriasis who started treatment with ustekinumab, etanercept, or methotrexate. Design, Setting, and Participants: This cohort study used insurance claims data from clinical practices across the US on children aged 17 years or younger with psoriasis who were receiving treatment with a topical medication for psoriasis and started new treatment with ustekinumab, etanercept, or methotrexate. The analysis was stratified by the time before pediatric labeling (2009-2015) and after pediatric approval (2016-2021). Patient follow-up started 1 day after initiating treatment and ended at 6 months. Exposures: New treatment with ustekinumab, etanercept, and methotrexate. Main Outcomes and Measures: During follow-up, the frequency of inpatient serious infections and outpatient infections requiring treatment was compared. Event rates and rate ratios were estimated after propensity score decile stratification. Results: After exclusions, we identified 2338 patients (1368 girls [57.8%]) who initiated new treatment with a targeted immunomodulating agent. In all, 379 patients started treatment with ustekinumab, 779 patients started treatment with etanercept, and 1180 patients started treatment with methotrexate from 2009 through 2021. The propensity score-adjusted incidence rate of serious infection was 18.4 per 1000 person-years (3 events) for ustekinumab users, 25.6 per 1000 person-years (9 events) for etanercept users, and 14.9 per 1000 person-years (8 events) for methotrexate users. The adjusted rate of outpatient infections was 254.9 per 1000 person-years (39 events) for ustekinumab users, 435.7 per 1000 person-years (139 events) for etanercept users, and 433.6 per 1000 person-years (209 events) for methotrexate users. The adjusted rate ratio of outpatient infections was 0.58 (95% CI, 0.41-0.83) for ustekinumab vs etanercept, 0.66 (95% CI, 0.48-0.91) for ustekinumab vs methotrexate, and 0.95 (95% CI, 0.75-1.21) for etanercept vs methotrexate. Rate ratios were similar during the off-label use era and after pediatric labeling. Conclusions and Relevance: Among children with psoriasis who started treatment with immunomodulating agents, serious infections were infrequent. This cohort study suggests that there was no increase in the risk of outpatient infections for children who started treatment with ustekinumab compared with etanercept or methotrexate.

Levels of Serum Phosphorylated Neurofilament Heavy Subunit in Clinically Healthy Standardbred Horses.

Neurofilaments heavy chain proteins (pNF-H) have been identified as useful serum biomarkers for humans and animals with neurologic conditions, some of which can lead to poor performance, and athletic injuries. However, there are no published reports that describe a reference range for serum pNF-H levels in healthy racehorses. This cross-sectional study was carried out to determine the serum concentration of pNF-H in 1,349 samples collected from 1,291 clinically healthy standardbred (SB) racehorses. Data on age, time of sampling (pre-race or post-race), and finishing position during a race were collected. The concentration of pNF-H in serum samples was determined using an enzyme-linked immunosorbent assay (ELISA). The appropriate statistical techniques were used to determine the median serum concentration of pNF-H in these horses, if the serum concentration of pNF-H changed with age, if there were changes in the serum concentration of pNF-H during a race, and if there was an association between serum concentration of pNF-H, and the finishing position for the horse. The median serum concentration of pNF-H in this group of clinically healthy SB horses was 0.0 ng/mL. The concentration of pNF-H in serum was not associated with the age of the horses in this study as was determined by regression analysis. There was no significant change in the serum concentration of pNF-H before and after a race in paired samples. There was no association of serum concentration of pNF-H and the finishing position of the horses after the race. The data from this study supports use of <0.412 ng/mL as a reference interval for measurement of serum levels of pNF-H in SB racehorses as 95% of the collected samples fell into the range 0.0-0.412 ng/mL.