Optimizing HIV PrEP Persistence: Does Your Pharmacy Matter?

Persistence to human immunodeficiency virus (HIV) pre-exposure prophylaxis (PrEP) is integral to preventing new HIV infections. Previous studies have shown real-world PrEP persistence is low and insight is needed into PrEP delivery strategies that improve persistence. This single-center, retrospective, cohort study measured persistence in patients filling PrEP through an integrated health-system specialty pharmacy (HSSP) compared to those filling at external pharmacies. The Kaplan-Meier estimates for persistence probability at 6, 12, and 18 months were 0.87 (95% CI 0.79-0.95), 0.75 (95% CI 0.66-0.86), and 0.64 (95% CI 0.53-0.76) for the HSSP cohort compared to 0.65 (95% CI 0.51-0.83), 0.41 (95% CI 0.28-0.62), and 0.32 (95% CI 0.2-0.53), respectively, for the non-HSSP cohort (log-rank p < 0.001, [Formula: see text] = 11.2). Cox PH modeling showed that patients using a non-HSSP were 2.7 times more likely to be non-persistent than HSSP patients (HR 2.7, 95% CI 1.6-4.7, p < 0.001, [Formula: see text] = 12.61), demonstrating patients were better maintained on PrEP therapy when their prescriptions were filled with the HSSP.

Therapy outcomes associated with prescription cannabidiol use at 12 months post-initiation.

OBJECTIVE: This study evaluated prescription cannabidiol (CBD) outcomes during the first 12 months of therapy. METHODS: A single-center, prospective cohort study was performed including patients prescribed CBD from January 2019 - April 2020, excluding clinical trial patients and those using external specialty pharmacy services. The primary outcome wasepilepsy-related emergency healthcare service (EHS) use within 12 months of initation. Secondary outcomes included prescription CBD discontinuation rate and reason and concomitant anti-seizure medication (ASM) use. A multiple logistic regression model evaluated the odds of EHS use, adjusting for initial concomitant ASM count, age, and insurance type. RESULTS: The 136 patients included were 85% white, 50% female, and 68% pediatric. EHS utilization occurred in 37% (n = 50) of patients; 29 patients (21%, n = 20 pediatric, n = 9 adult) had at least one emergency department (ED) visit, 9 patients (7%) had two or more; 30 patients (22%, n = 22 pediatric, n = 8 adult) had at least one hospitalizaion. Median time to first ED and hospitalization was 69 (IQR 31-196) and 104 (IQR 38-179) days, respectively. Prescription CBD was discontinued in 31 patients (23%, n = 18 pediatric, n = 13 adult), due to major side effects (n = 12, 39%), common side effects (n = 11, 36%), and unsatisfactory response (n = 11, 36%). There was no significant change in concomitant ASM use. CONCLUSION: Despite potential benefits of prescription CBD, many patients utilize EHSs in the first 12 months of treatment with minimal changes in concomitant ASM use.

Insurance Approval Delay of Biologic Therapy Dose Escalation Associated with Disease Activity in Patients with Inflammatory Bowel Disease.

BACKGROUND: Dose escalation of self-injectable biologic therapy for inflammatory bowel diseases may be required to counteract loss of response and/or low drug levels. Payors often require completion of a prior authorization (PA), which is a complex approval pathway before providing coverage. If the initial PA request is denied, clinic staff must complete a time and resource-intensive process to obtain medication approval. AIMS: This study measured time from decision to dose escalate to insurance approval and evaluated impact of approval time on disease activity. METHODS: This was a single-center retrospective analysis of adult patients with IBD prescribed an escalated dose of biologic therapy at an academic center with an integrated specialty pharmacy team from January to December 2018. Outcomes included time to insurance approval and the association between approval time and follow-up C-reactive protein (CRP) and Short Inflammatory Bowel Disease Questionnaire (SIBDQ) scores. Associations were tested using linear regression analyses. RESULTS: 220 patients were included, median age 39, 53% female, and 96% white. Overall median time from decision to dose escalate to insurance approval was 7 days [interquartile range (IQR) 1, 14]. Approval time was delayed when an appeal was required [median of 29 days (IQR 17, 43)]. Patients with a longer time to insurance approval were less likely to have CRP improvement (p = 0.019). Time to insurance approval did not significantly impact follow-up SIBDQ scores. CONCLUSION: Patients who had a longer time to insurance approval were less likely to have improvement in CRP, highlighting the negative clinical impact of a complex dose escalation process.

Sensitivity of estimated tacrolimus population pharmacokinetic profile to assumed dose timing and absorption in real-world data and simulated data.

AIMS: Use of electronic health record (EHR) data to estimate population pharmacokinetic (PK) profiles necessitates several assumptions. We sought to investigate sensitivity to some of these assumptions about dose timing and absorption rates. METHODS: A population PK study with 363 subjects was performed using real-world data extracted from EHRs to estimate the tacrolimus population PK profile. Data were extracted and built using our automated system, EHR2PKPD, suitable for quickly constructing large PK datasets from the EHR. Population PK studies for oral medications performed using EHR data often assume a regular dosing schedule as prescribed without incorporating exact dosing time. We assessed the sensitivity of the PK parameter estimates to assumptions about dose timing using last-dose times extracted by our own natural language processing system, medExtractR. We also investigated the sensitivity of estimates to absorption rate constants that are often fixed at a published value in tacrolimus population PK analyses. We conducted simulation studies to investigate how drug PK profiles and experimental designs such as concentration measurements design affect sensitivity to incorrect assumptions about dose timing and absorption rates. RESULTS: There was no appreciable difference in parameter estimates with assumed versus extracted last-dose time, and our sensitivity analysis revealed little difference between parameters estimated across a range of assumed absorption rate constants. CONCLUSION: Our findings suggest that drugs with a slower elimination rate (or a longer half-life) are less sensitive to dose timing errors and that experimental designs which only allow for trough blood concentrations are usually insensitive to deviation in absorption rate.

Population pharmacokinetic analysis of dexmedetomidine in children using real-world data from electronic health records and remnant specimens.

AIMS: Our objectives were to perform a population pharmacokinetic analysis of dexmedetomidine in children using remnant specimens and electronic health records (EHRs) and explore the impact of patient's characteristics and pharmacogenetics on dexmedetomidine clearance. METHODS: Dexmedetomidine dosing and patient data were gathered from EHRs and combined with opportunistically sampled remnant specimens. Population pharmacokinetic models were developed using nonlinear mixed-effects modelling. Stage 1 developed a model without genotype variables; Stage 2 added pharmacogenetic effects. RESULTS: Our final study population included 354 post-cardiac surgery patients aged 0-22 years (median 16 mo). The data were best described with a 2-compartment model with allometric scaling for weight and Hill maturation function for age. Population parameter estimates and 95% confidence intervals were 27.3 L/h (24.0-31.1 L/h) for total clearance, 161 L (139-187 L) for central compartment volume of distribution, 26.0 L/h (22.5-30.0 L/h) for intercompartmental clearance and 7903 L (5617-11 119 L) for peripheral compartment volume of distribution. The estimate for postmenstrual age when 50% of adult clearance is achieved was 42.0 weeks (41.5-42.5 weeks) and the Hill coefficient estimate was 7.04 (6.99-7.08). Genotype was not statistically or clinically significant. CONCLUSION: Our study demonstrates the use of real-world EHR data and remnant specimens to perform a population pharmacokinetic analysis and investigate covariate effects in a large paediatric population. Weight and age were important predictors of clearance. We did not find evidence for pharmacogenetic effects of UGT1A4 or UGT2B10 genotype or CYP2A6 risk score.

Droxidopa management by an integrated health-system specialty pharmacy team.

BACKGROUND: Droxidopa, indicated for the treatment of symptomatic neurogenic orthostatic hypotension, can be challenging for patients to access owing to manufacturer and payer restrictions, and requires close monitoring to ensure safety and effectiveness. OBJECTIVE: This practice report describes the development and outcomes of an integrated neurology specialty pharmacy team for droxidopa management. PRACTICE DESCRIPTION: An integrated health-system specialty pharmacy (HSSP) connected to an academic institution with integrated specialty pharmacists working in collaboration with the providers in both the neurology and autonomic disfunction clinic. PRACTICE INNOVATION: In May 2017, the integrated HSSP developed droxidopa management services. Based on clinic-identified needs, the specialty pharmacy team completed droxidopa access requirements (insurance approval and affordability), provided comprehensive medication education at droxidopa initiation, and developed and executed droxidopa titration and monitoring plans in collaboration with providers. While patients were on droxidopa therapy, specialty pharmacist staff (pharmacists and technicians) monitored patients for safety and response to therapy and communicated with the health care team through the shared electronic health record. EVALUATION METHODS: We performed a retrospective cohort analysis of adult patients with at least 3 fills of droxidopa using the integrated specialty pharmacy services from May 2017 to April 2020. Outcomes included persistence (defined as lack of 60-day gap in treatment), adherence (calculated using pharmacy claims and proportion of days covered [PDC]), and number and type of pharmacist interventions after droxidopa initiation. RESULTS: Of the 83 patients reviewed, 60 patients (72%) were persistent on droxidopa therapy over the study period. The median PDC was 0.98 (interquartile range 0.90-1.00). Over 36 months, the specialty pharmacist performed 60 interventions after droxidopa initiation, most related to dose changes, drug-drug interaction management, and medication reconciliation. CONCLUSION: The development of integrated specialty pharmacy services for patients prescribed droxidopa resulted in high droxidopa persistence and adherence. Interventions from the specialty pharmacist ensured droxidopa remained safe and appropriate for patients.

HIV PrEP access and affordability: a multidisciplinary specialty pharmacy model.

BACKGROUND: Increasing the number of human immunodeficiency virus (HIV) pre-exposure prophylaxis (PrEP) providers expands PrEP access to more eligible patients to help end the HIV epidemic. Previous studies have noted providers perceive financial barriers as a limitation to prescribing PrEP. OBJECTIVE: This study aimed to describe PrEP medication access and affordability in patients seen at a multidisciplinary PrEP clinic. METHOD: We conducted a single-center, retrospective, cohort study of adults initiating tenofovir disoproxil fumarate/emtricitabine in the Vanderbilt PrEP Clinic between September 1, 2016, and March 31, 2019, with prescriptions filled by Vanderbilt Specialty Pharmacy. Data were gathered from the electronic health records and pharmacy claims. We evaluated 3 different time periods: initial evaluation to PrEP initiation, prescription of PrEP to insurance approval, and insurance approval to initiation. Treatment initiation was considered delayed when >7 days from initial evaluation, and reasons for delay were recorded. Continuous variables are presented as median (interquartile range [IQR]), and categorical variables are presented as percentages. RESULTS: We included 63 patients; most were male (97%), white (84%), and commercially insured (94%) with a median age of 38 years (IQR 29-47). Primary indication for PrEP was men who have sex with men at high risk of acquiring HIV (97%). Median time from initial appointment to treatment initiation was 7 days (IQR 4-8). Treatment delays occurred in 25% of patients and were mostly driven by patient preference (50%). Insurance prior authorization was required in 27% of patients; all were approved. Median total out-of-pocket medication costs for the entire study period were $0 (IQR $0-$0). Most patients (86%) used manufacturer copay cards. CONCLUSION: In this cohort of mostly commercially insured men, the majority were able to access PrEP with low out-of-pocket costs facilitated by manufacturer assistance. Although generalizability beyond this population is limited, these results contradict perceived financial barriers to PrEP access.

Specialty pharmacy integration and the role of an advanced certified pharmacy technician in prescription cannabidiol access.

BACKGROUND: Insurance requirements that limit access to prescription cannabidiol (CBD), an adjunct therapy for uncontrolled seizure disorders, may lead to treatment initiation delays. Integrated health-system specialty pharmacies (IHSSPs) use pharmacists and advance certified pharmacy technicians (CPhTs) to help navigate prescription CBD access requirements. OBJECTIVE(S): Evaluate time from initial specialty pharmacy referral to prescription CBD shipment. METHODS: This was a single-center, retrospective analysis of patients prescribed CBD from January 2019 to April 2020 by the outpatient neurology clinic and dispensed by the center's IHSSP. The primary outcome was the time to prescription CBD access, defined as days between the specialty pharmacy completing an initial patient assessment and first medication shipment. Secondary outcomes were percentage of patients requiring financial assistance and days between key steps in the access pathway. Data were collected from electronic health records and the specialty pharmacy patient management database. The CPhT was responsible for completing most portions of the access pathway under supervision of the clinical pharmacist. RESULTS: After screening, 136 patients were included: 50% male, 85% white, 60% insured by Medicaid, and median age 14 years (interquartile range [IQR] 9-21). The most common indication was Lennox-Gastaut syndrome (n = 117, 86%). Of the 129 patients (95%) who required a prior authorization (PA), 92% were approved (n = 119). Median time from initial assessment to first shipment was 7 days (IQR 4-13). Of patients for whom the CPhT helped obtain financial assistance (n = 14, 10%), all had $0 costs after assistance. Median times for secondary outcomes led by the CPhT in days were as follows: initial assessment completion to benefits investigation (BI) = 0 (IQR 0-0), BI to PA submission = 0 (IQR 0-0), and PA denial to appeal submission = 4 (IQR 1-7). CONCLUSION: IHSSP teams, particularly advanced CPhT roles, helped patients afford and initiate prescription CBD quickly.

Primary medication nonadherence to oral oncology specialty medications.

BACKGROUND: Patients prescribed specialty oncology medications face logistical and financial challenges to medication procurement, leading to primary medication nonadherence (PMN). Limited research has evaluated rates and reasons for PMN within a specialty oncology population. Addressing PMN is essential to ensuring patient access and uptake and realizing benefits of these therapies. OBJECTIVES: The objectives of this study were to compute the rates of and reasons for PMN in patients prescribed oral oncology medications at an integrated health-system specialty pharmacy (IHSSP). METHODS: We performed a single-center, retrospective analysis of specialty oncology prescriptions electronically prescribed between January and December 2018. Data were extracted from electronic health record (EHR) and pharmacy claims databases. Prescriptions were PMN eligible if none of the following were met: fill of any cancer medication within the previous 180-day lookback window, duplicate prescription, cancellation within 30 days, rerouting to an external pharmacy within 30 days of prescribing, filled through alternate method, or nononcology or hematology condition. PMN was calculated by dividing eligible prescriptions unfilled during the study period by all eligible prescriptions. Reasons for a lack of prescription fulfillment were assessed via EHR review. Data were analyzed using descriptive statistics. RESULTS: We evaluated 4482 prescriptions from 1422 patients, resulting in 861 PMN-eligible prescriptions. Most PMN-eligible prescriptions (n = 668, 78%) were filled within 30 days, leaving 193 prescriptions as potential instances of PMN. After EHR review, 158 prescriptions met the exclusion criteria, resulting in a PMN rate of 4%. Of PMN prescriptions (n = 35), most were caused by clinical reasons (n = 22, 63%); however, 10 prescriptions were unfilled owing to patient decision, 2 owing to unaffordable treatment, and 1 owing to inability to reach the patient. Patients with PMN had a median age of 72 years and were mostly male (60%), with a median Charlson comorbidity index score of 7. CONCLUSION: Low rates of PMN to prescribed anticancer medications were found among electronic prescriptions intended to be filled at an IHSSP.

Integrating pharmacists into a kidney transplant clinic: Developing and implementing a collaborative pharmacy practice agreement.

BACKGROUND: Collaborative pharmacy practice agreements (CPPAs) grant patient care authorities to pharmacists (PharmDs) under a scope of practice without direct physician supervision. OBJECTIVES: The aim of this study was to discuss steps for developing and implementing a CPPA in an outpatient renal transplant clinic and assess changes in physician and nurse burden, integrated pharmacy growth, and patient safety. PRACTICE DESCRIPTION: A CPPA was developed between physicians and pharmacists and implemented into a renal transplant clinic and the integrated pharmacy over the course of several years. PRACTICE INNOVATION: CPPA execution in a post-transplant clinic has not been previously described and is needed to help advance patient care delivery models. EVALUATION METHODS: This single center, retrospective study compared immunosuppressant prescriptions generated by each authorizer type (nurse, physician, pharmacist) across 3 time periods: before pharmacist integration, during CPPA development, and after CPPA implementation. Pharmacy manpower and patient safety concerns post-CPPA implementation were also reviewed. RESULTS: Results show that prescription authorization migrated from either a nurse or physician (57% and 43% respectively) in pre-PharmD period, to mostly by physicians (72%) in PharmD pre-CPPA period, and largely by pharmacists (85%) in PharmD post-CPPA period. Quarterly prescription volume increased (6019 in quarter 3 of 2015 vs. 14,806 in quarter 4 of 2018) and integrated pharmacy staff grew from 8 employees (Pre-PharmD period) to 20 in PharmD post-CPPA period. No safety concerns were reported in any time period. CONCLUSION: CPPAs have the advantage of reducing physician and nurse workload related to prescribing and advancing the role of the pharmacist by utilizing their expertise to take over certain tasks. Lessons learned during the CPPA implementation process include identifying needs, promoting maximal utility of pharmacists, and maintaining optimal communication between the health care team.

Statistical and Machine Learning Models for Classification of Human Wear and Delivery Days in Accelerometry Data.

Accelerometers are increasingly being used in biomedical research, but the analysis of accelerometry data is often complicated by both the massive size of the datasets and the collection of unwanted data from the process of delivery to study participants. Current methods for removing delivery data involve arduous manual review of dense datasets. We aimed to develop models for the classification of days in accelerometry data as activity from human wear or the delivery process. These models can be used to automate the cleaning of accelerometry datasets that are adulterated with activity from delivery. We developed statistical and machine learning models for the classification of accelerometry data in a supervised learning context using a large human activity and delivery labeled accelerometry dataset. Model performances were assessed and compared using Monte Carlo cross-validation. We found that a hybrid convolutional recurrent neural network performed best in the classification task with an F1 score of 0.960 but simpler models such as logistic regression and random forest also had excellent performance with F1 scores of 0.951 and 0.957, respectively. The best performing models and related data processing techniques are made publicly available in the R package, Physical Activity.

Evaluating statistical approaches to leverage large clinical datasets for uncovering therapeutic and adverse medication effects.

Motivation: Phenome-wide association studies (PheWAS) have been used to discover many genotype-phenotype relationships and have the potential to identify therapeutic and adverse drug outcomes using longitudinal data within electronic health records (EHRs). However, the statistical methods for PheWAS applied to longitudinal EHR medication data have not been established. Results: In this study, we developed methods to address two challenges faced with reuse of EHR for this purpose: confounding by indication, and low exposure and event rates. We used Monte Carlo simulation to assess propensity score (PS) methods, focusing on two of the most commonly used methods, PS matching and PS adjustment, to address confounding by indication. We also compared two logistic regression approaches (the default of Wald versus Firth's penalized maximum likelihood, PML) to address complete separation due to sparse data with low exposure and event rates. PS adjustment resulted in greater power than PS matching, while controlling Type I error at 0.05. The PML method provided reasonable P-values, even in cases with complete separation, with well controlled Type I error rates. Using PS adjustment and the PML method, we identify novel latent drug effects in pediatric patients exposed to two common antibiotic drugs, ampicillin and gentamicin. Availability and implementation: R packages PheWAS and EHR are available at https://github.com/PheWAS/PheWAS and at CRAN (https://www.r-project.org/), respectively. The R script for data processing and the main analysis is available at https://github.com/choileena/EHR. Supplementary information: Supplementary data are available at Bioinformatics online.

Randomized Trial of a Positive Psychology Intervention for Adolescents With Type 1 Diabetes.

OBJECTIVE: To evaluate the effects of a positive psychology intervention for adolescents with type 1 diabetes (T1D) on adherence, glycemic control, and quality of life. METHODS: Adolescents with T1D (n = 120) and their caregivers were randomized to either an Education (EDU) (n = 60) or Positive Affect (PA) intervention (n = 60). Adolescents in the PA group received the intervention reminders (gratitude, self-affirmation, parental affirmation, and small gifts) via text messages or phone calls over 8 weeks. Questionnaires were completed by adolescents and caregivers and clinical data (glucometer and HbA1c) were collected at baseline 3 and 6 months. Data were analyzed using generalized linear modeling. RESULTS: After adjusting for covariates, adolescents in the PA group demonstrated significant improvement in quality of life at 3 months, compared to the EDU group, but this was not sustained at 6 months. Similarly, the PA group showed a significant decrease in disengagement coping at 3 months but not at 6 months. There was no significant intervention effect on blood glucose monitoring, but the odds of clinically significantly improvement (checking at least one more time/day) were about twice as high in the PA group as the EDU group. No significant effects were found for glycemic control. CONCLUSIONS: A positive psychology intervention had initial significant, positive effects on coping and quality of life in adolescents with T1D. A more intensive or longer-lasting intervention may be needed to sustain these effects and to improve adherence and glycemic control.

Population Pharmacokinetics of Fentanyl in the Critically Ill.

OBJECTIVE: To characterize fentanyl population pharmacokinetics in patients with critical illness and identify patient characteristics associated with altered fentanyl concentrations. DESIGN: Prospective cohort study. SETTING: Medical and surgical ICUs in a large tertiary care hospital in the United States. PATIENTS: Patients with acute respiratory failure and/or shock who received fentanyl during the first 5 days of their ICU stay. MEASUREMENTS AND MAIN RESULTS: We collected clinical and hourly drug administration data and measured fentanyl concentrations in plasma collected once daily for up to 5 days after enrollment. Among 337 patients, the mean duration of infusion was 58 hours at a median rate of 100 µg/hr. Using a nonlinear mixed-effects model implemented by NONMEM, we found that fentanyl pharmacokinetics were best described by a two-compartment model in which weight, severe liver disease, and congestive heart failure most affected fentanyl concentrations. For a patient population with a mean weight of 92 kg and no history of severe liver disease or congestive heart failure, the final model, which performed well in repeated 10-fold cross-validation, estimated total clearance, intercompartmental clearance (Q), and volumes of distribution for the central (V1) and peripheral compartments (V2) to be 35 L/hr (95% CI, 32-39 L/hr), 55 L/hr (95% CI, 42-68 L/hr), 203 L (95% CI, 140-266 L), and 523 L (95% CI, 428-618 L), respectively. Severity of illness was marginally associated with fentanyl pharmacokinetics but did not improve the model fit after liver and heart diseases were included. CONCLUSIONS: In this study, fentanyl pharmacokinetics during critical illness were strongly influenced by severe liver disease, congestive heart failure, and weight, factors that should be considered when dosing fentanyl in the ICU. Future studies are needed to determine if data-driven fentanyl dosing algorithms can improve outcomes for ICU patients.

Pragmatic pharmacology: population pharmacokinetic analysis of fentanyl using remnant samples from children after cardiac surgery.

AIMS: One barrier contributing to the lack of pharmacokinetic (PK) data in paediatric populations is the need for serial sampling. Analysis of clinically obtained specimens and data may overcome this barrier. To add evidence for the feasibility of this approach, we sought to determine PK parameters for fentanyl in children after cardiac surgery using specimens and data generated in the course of clinical care, without collecting additional blood samples. METHODS: We measured fentanyl concentrations in plasma from leftover clinically-obtained specimens in 130 paediatric cardiac surgery patients and successfully generated a PK dataset using drug dosing data extracted from electronic medical records. Using a population PK approach, we estimated PK parameters for this population, assessed model goodness-of-fit and internal model validation, and performed subset data analyses. Through simulation studies, we compared predicted fentanyl concentrations using model-driven weight-adjusted per kg vs. fixed per kg fentanyl dosing. RESULTS: Fentanyl clearance for a 6.4 kg child, the median weight in our cohort, is 5.7 l h(-1) (2.2-9.2 l h(-1) ), similar to values found in prior formal PK studies. Model assessment and subset analyses indicated the model adequately fit the data. Of the covariates studied, only weight significantly impacted fentanyl kinetics, but substantial inter-individual variability remained. In simulation studies, model-driven weight-adjusted per kg fentanyl dosing led to more consistent therapeutic fentanyl concentrations than fixed per kg dosing. CONCLUSIONS: We show here that population PK modelling using sparse remnant samples and electronic medical records data provides a powerful tool for assessment of drug kinetics and generation of individualized dosing regimens.

Extensive phenotyping of individuals at risk for familial interstitial pneumonia reveals clues to the pathogenesis of interstitial lung disease.

RATIONALE: Asymptomatic relatives of patients with familial interstitial pneumonia (FIP), the inherited form of idiopathic interstitial pneumonia, carry increased risk for developing interstitial lung disease. OBJECTIVES: Studying these at-risk individuals provides a unique opportunity to investigate early stages of FIP pathogenesis and develop predictive models of disease onset. METHODS: Seventy-five asymptomatic first-degree relatives of FIP patients (mean age, 50.8 yr) underwent blood sampling and high-resolution chest computed tomography (HRCT) scanning in an ongoing cohort study; 72 consented to bronchoscopy with bronchoalveolar lavage (BAL) and transbronchial biopsies. Twenty-seven healthy individuals were used as control subjects. MEASUREMENTS AND MAIN RESULTS: Eleven of 75 at-risk subjects (14%) had evidence of interstitial changes by HRCT, whereas 35.2% had abnormalities on transbronchial biopsies. No differences were noted in inflammatory cells in BAL between at-risk individuals and control subjects. At-risk subjects had increased herpesvirus DNA in cell-free BAL and evidence of herpesvirus antigen expression in alveolar epithelial cells (AECs), which correlated with expression of endoplasmic reticulum stress markers in AECs. Peripheral blood mononuclear cell and AEC telomere length were shorter in at-risk individuals than healthy control subjects. The minor allele frequency of the Muc5B rs35705950 promoter polymorphism was increased in at-risk subjects. Levels of several plasma biomarkers differed between at-risk subjects and control subjects, and correlated with abnormal HRCT scans. CONCLUSIONS: Evidence of lung parenchymal remodeling and epithelial dysfunction was identified in asymptomatic individuals at risk for FIP. Together, these findings offer new insights into the early pathogenesis of idiopathic interstitial pneumonia and provide an ongoing opportunity to characterize presymptomatic abnormalities that predict progression to clinical disease.

Rare variants in RTEL1 are associated with familial interstitial pneumonia.

RATIONALE: Up to 20% of cases of idiopathic interstitial pneumonia cluster in families, comprising the syndrome of familial interstitial pneumonia (FIP); however, the genetic basis of FIP remains uncertain in most families. OBJECTIVES: To determine if new disease-causing rare genetic variants could be identified using whole-exome sequencing of affected members from FIP families, providing additional insights into disease pathogenesis. METHODS: Affected subjects from 25 kindreds were selected from an ongoing FIP registry for whole-exome sequencing from genomic DNA. Candidate rare variants were confirmed by Sanger sequencing, and cosegregation analysis was performed in families, followed by additional sequencing of affected individuals from another 163 kindreds. MEASUREMENTS AND MAIN RESULTS: We identified a potentially damaging rare variant in the gene encoding for regulator of telomere elongation helicase 1 (RTEL1) that segregated with disease and was associated with very short telomeres in peripheral blood mononuclear cells in 1 of 25 families in our original whole-exome sequencing cohort. Evaluation of affected individuals in 163 additional kindreds revealed another eight families (4.7%) with heterozygous rare variants in RTEL1 that segregated with clinical FIP. Probands and unaffected carriers of these rare variants had short telomeres (<10% for age) in peripheral blood mononuclear cells and increased T-circle formation, suggesting impaired RTEL1 function. CONCLUSIONS: Rare loss-of-function variants in RTEL1 represent a newly defined genetic predisposition for FIP, supporting the importance of telomere-related pathways in pulmonary fibrosis.

A systematic review and individual patient data meta-analysis of published randomized clinical trials comparing early versus interval appendectomy for children with perforated appendicitis.

PURPOSE: Our objective was to perform a meta-analysis on RCTs that compared outcomes in children with perforated appendicitis (PA) who underwent either early appendectomy (EA) or interval appendectomy (IA). We also sought to determine if the presence of an intra-abdominal abscess (IAA) at admission impacted treatment strategy and outcomes. METHODS: We identified two RCTs comparing EA versus IA in children with PA. A meta-analysis was performed using regression models and the overall adverse event rate was analyzed. The treatment effect variation depending on the presence of IAA at admission was also evaluated. RESULTS: EA significantly reduced the odds of an adverse event (OR 0.28, 95 % CI 0.1-0.77) and an unplanned readmission (OR 0.08, 95 % CI 0.01-0.67), as well as the total charges (79 % of the IA, 95 % CI 63-100) for those who did not have an IAA at admission. In children with an IAA, there was no difference between EA and IA. However, heterogeneity of treatment effect was present regarding IAA at presentation. CONCLUSIONS: While EA appears to improve outcomes in patients without an abscess, the published data support no significant difference in outcomes between EA and IA in patients with an abscess.

Likelihood approach for evaluating bioequivalence of highly variable drugs.

Bioequivalence (BE) is required for approving a generic drug. The two one-sided tests procedure (TOST, or the 90% confidence interval approach) has been used as the mainstream methodology to test average BE (ABE) on pharmacokinetic parameters such as the area under the blood concentration-time curve and the peak concentration. However, for highly variable drugs (%CV > 30%), it is difficult to demonstrate ABE in a standard cross-over study with the typical number of subjects using the TOST because of lack of power. Recently, the US Food and Drug Administration and the European Medicines Agency recommended similar but not identical reference-scaled average BE (RSABE) approaches to address this issue. Although the power is improved, the new approaches may not guarantee a high level of confidence for the true difference between two drugs at the ABE boundaries. It is also difficult for these approaches to address the issues of population BE (PBE) and individual BE (IBE). We advocate the use of a likelihood approach for representing and interpreting BE data as evidence. Using example data from a full replicate 2 × 4 cross-over study, we demonstrate how to present evidence using the profile likelihoods for the mean difference and standard deviation ratios of the two drugs for the pharmacokinetic parameters. With this approach, we present evidence for PBE and IBE as well as ABE within a unified framework. Our simulations show that the operating characteristics of the proposed likelihood approach are comparable with the RSABE approaches when the same criteria are applied.

Cost avoidance from health system specialty pharmacist interventions in patients with multiple sclerosis.

BACKGROUND: Specialty pharmacists monitor patients taking multiple sclerosis (MS) disease-modifying therapies (DMTs) to evaluate response to therapy and intervene on adverse effects. These interventions have the potential to avoid health care costs by discontinuing inappropriate therapies and avoiding downstream health care utilization. OBJECTIVE: To calculate the costs avoided by specialty pharmacist interventions in MS. METHODS: A retrospective observational cohort study including patients at the Vanderbilt MS Clinic who received a specialty pharmacist intervention between February 1, 2022, and July 31, 2022, was performed. A panel of 3 investigators categorized each intervention based on the potential for cost avoidance: (1) no cost avoidance, (2) direct cost avoidance, and (3) indirect cost avoidance. A single intervention may have one or both cost avoidance types. Direct costs avoided included the cost of the potential service or medication avoided due to the intervention. Medication costs were calculated using the range of the average wholesale price and average wholesale price - 20%. For indirect costs avoided, the range of costs of a consequence (self-care, ambulatory visit, emergency department visit, hospitalization, or death) occurring had the intervention not been performed were multiplied by the range of probabilities for the consequence occurring (from zero [0] to very likely [0.5]). Self-care indirect cost savings equated to $0. Descriptive statistics summarized types of pharmacist interventions, the patients impacted, and costs avoided. In patients with an intervention that resulted in cost avoidance, chart review was performed to collect patient demographics, disease history, and MS-related health care usage during the 12 months prior to the pharmacist intervention. RESULTS: 485 pharmacist interventions in 354 individual patients were included. Fifty interventions in 38 individual patients (76% female, median age 51 years, 68% White) resulted in cost avoidance. The total estimated costs avoided in 6 months ranged from $123,733 to $156,265. In total, $138,410 were direct costs and $1,890 were indirect costs. Reasons for direct costs avoided (n = 13) were often safety monitoring (69%) or common side effects management (23%). Indirect costs avoidance (n = 37) resulted primarily from interventions on common side effects management (57%) and safety monitoring (22%). Self-care was the most common type of indirect cost avoided (n = 27). Interventions resulting in costs avoided were commonly seen in patients with relapsing-remitting MS (82%). The median time from MS diagnosis was 15 years and 42% of patients had previously trialed 1 other MS DMT. CONCLUSIONS: There is a potential for significant health care savings after specialty pharmacist interventions in MS, primarily from preventing the dispensing of inappropriate therapies.