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Objective: Racial and rural disparities exist in the adoption of newer antidiabetic agents, including SGLT2 inhibitors. We aimed to evaluate whether the effectiveness of SGLT2 inhibitors varied across race/ethnicity and rural/urban areas. Methods: Using claims data from 15% samples of national Medicare beneficiaries, we identified individuals who had type 2 diabetes and initiated SGLT2 inhibitors or DPP4 inhibitors (as the active control) between 1/1/2017-12/31/2018. Cohort entry was the day of the first filled prescription of any SGLT2 inhibitors or DPP4 inhibitors, defined as no use of either in the prior year. The outcome was hospitalization for heart failure (HHF) . Inverse probability treatment weighting (IPTW) Cox regressions were applied, controlling for pre-exposure covariates. IPTW models were fitted separately across subgroups. Results: Cohort, mean age was 72 (SD 10) , 53% were women and 2.2% (2,577 / 116,751) experienced HHF over a median follow up of 363 days. Compared with DPP4 inhibitors, SGLT2 inhibitors were associated with a lower risk of HHF (HR, 0.73; CI, 0.65-0.80) . In the subgroup analyses, the beneficial effect of SGLT2 inhibitors vs. DPP4 inhibitors were comparable across non-Hispanic White (HR, 0.77; CI, 0.68-0.87) , non-Hispanic Black (HR, 0.67; CI, 0.49-0.91) and Hispanic (HR, 0.68; CI, 0.50-0.92) groups. SGLT2 inhibitors associated decreased risk of HHF was only seen in individuals living in urban areas (HR, 0.69; CI, 0.61-0.78) but not rural areas (HR, 0.95; CI, 0.76-1.19) . Conclusion: Use of SGLT2 inhibitors, vs. DPP4 inhibitors, was associated with a lower risk of HHF and the effectiveness were comparable across racial and ethnics groups. However, SGLT2 inhibitors’ HHF benefit appeared to have been attenuated in those living in rural areas. Future studies are warranted to understand the mechanisms underlying the potential rural-urban disparities in treatment outcomes. Disclosure J.Guo: None. Y.Li: None. J.Bian: None. D.T.Lackland: None. S.Kimmel: Other Relationship; Janssen Pharmaceuticals, Inc. D.Schatz: Advisory Panel; Abbott Diabetes, Medtronic. A.G.Winterstein: Consultant; Genentech, Inc., Research Support; Merck & Co., Inc.

Background: Existing observational studies yielded mixed results between cognitive and dementia outcomes and newer glucose-lowering drugs (GLDs) , i.e., dipeptidyl peptidase-4 (DPP-4) inhibitors, glucagon-like peptide-1 receptor agonists (GLP-1RAs) , and sodium-glucose co-transporter-2 (SGLT2) inhibitors, while individual randomized trials have inadequate power to examine such an effect. Thus, we aimed to evaluate the effect of these newer GLDs on the risk of dementia by performing a meta-analysis of randomized outcome trials. Methods: We included published randomized placebo-controlled cardiovascular and renal outcome trials that evaluated DPP-4 inhibitors, GLP-1RAs, and SGLT2 inhibitors and reported dementia events. The study outcomes were all-cause dementia and vascular dementia, extracted from clinicaltrials.gov. We calculated pooled odds ratios (OR) and 95% CIs using the Peto method. Results: We included 21 trials involving 1all-cause dementia cases (including 22 vascular dementia cases) among 167,5patients with or without type 2 diabetes over a median follow-up of 2.2 years. Neither DPP-4 inhibitors (OR, 0.65 [0.33-1.29]) , GLP-1RAs (OR, 0.88 [0.51-1.52]) , or SGLT2 inhibitors (OR, 1.22 [0.54-2.74]) were significantly associated with all-cause dementia incidence. For vascular dementia, compared with placebo, SGLT2 inhibitors were significantly associated with a decreased risk (OR, 0.[0.02-0.66]) , while DPP-4 inhibitors (OR, 0.67 [0.12-3.85]) and GLP-1RAs (OR, 0.37 [0.12-1.14]) did not significantly decrease the risk. No evidence of statistical heterogeneity or publication bias was detected in the meta-analysis (p >0.05) . Conclusion: SGLT2 inhibitors may have a beneficial effect on lowering the vascular dementia risk, thus may be a drug repurposing signal. Nevertheless, future randomized controlled trials and/or comparative effectiveness studies using real-world data are warranted to further confirm our conclusion. Disclosure H.Tang: None. S.Niu: None. J.D.Brown: None. J.Wei: None. A.G.Winterstein: Consultant; Genentech, Inc., Research Support; Merck & Co., Inc. J.Bian: None. J.Guo: None.

Background Delayed eardrum healing has been observed in the ear opposite to the ear treated with otic quinolones (OQ) in rats. Case reports describe tendinopathies after OQ treatment, suggesting adverse systemic effects. Methods We studied patients aged 19 to 64 years with diagnosis of otitis externa or media in private insurance between 2005 and 2015. We compared OQ treatment against otic neomycin, oral amoxicillin, or azithromycin. Outcomes included Achilles tendon rupture (ATR), Achilles tendinitis (AT), and all-type tendon rupture (ATTR). We applied an active comparator, new-user design with 1-year look-back and ceased follow-up at initiation of systemic steroids or oral quinolones, external injury, hospitalization, and after 35 days. We used trimmed stabilized inverse probability of treatment weights to balance comparison groups in a survival framework. Negative outcomes (clavicle fractures or sports injuries) were examined to rule out differences from varied physical activity (unmeasured confounding). Results We examined 1 501 009 treated otitis episodes. Hazard ratios (HR) for OQ exposure associated with ATR were 4.49 (95% confidence interval [CI], 1.83–11.02), AT 1.04 (95% CI, 0.73–1.50), and ATTR 1.71 (95% CI, 1.21–2.41). Weighted risk differences (RD) per 100 000 episodes for OQ exposure were ATR 7.80 (95% CI, 0.72–14.89), AT 1.01 (95% CI, −12.80 to 14.81), and ATTR 18.57 (95% CI, 3.60–33.53). Corresponding HRs for clavicle fractures and sports injuries were HR,1.71 (95% CI, 0.55–5.27) and HR,1.45 (95% CI, 0.64–3.30), suggesting limited residual confounding. Conclusions OQ exposure may lead to systemic consequences. Clinicians should consider this potential risk and counsel patients accordingly. Risk factors and mechanisms for this rare, adverse effect deserve further evaluation. Mechanistic and other clinical studies are warranted to corroborate this finding.

Concerns have been raised about prenatal exposure to magnetic resonance imaging with gadolinium-based contrast agents because of nonclinical findings of gadolinium retention in fetal tissue and 1 population-based study reporting an association with adverse pregnancy outcomes.This study aimed to evaluate the association between prenatal magnetic resonance imaging exposure with and without gadolinium-based contrast agents and fetal and neonatal death and neonatal intensive care unit admission.We constructed a retrospective cohort of11 million Medicaid-covered pregnancies between 1999 and 2014 to evaluate the association between prenatal magnetic resonance imaging exposure with and without gadolinium-based contrast agents and fetal and neonatal death (primary endpoint) and neonatal intensive care unit admissions (secondary endpoint). Medicaid claims data were linked to medical records, Florida birth and fetal death records, and the National Death Index to validate the outcomes and gestational age estimates. Pregnancies with multiples, concurrent cancer, teratogenic drug exposure, magnetic resonance imaging focused on fetal or pelvic evaluation, undetermined gadolinium-based contrast agent use, or those preceded by or contemporaneous with congenital anomaly diagnoses were excluded. We adjusted for potential confounders with standardized mortality ratio weighting using propensity scores.Among 5991 qualifying pregnancies, we found 11 fetal or neonatal deaths in the gadolinium-based contrast agent magnetic resonance imaging group (1.4%) and 73 in the non-gadolinium-based contrast agent magnetic resonance imaging group (1.4%) with an adjusted relative risk of 0.73 (95% confidence interval, 0.34-1.55); the neonatal intensive care unit admission adjusted relative risk was 1.03 (0.76-1.39). Sensitivity analyses investigating the timing of magnetic resonance imaging or repeat magnetic resonance imaging exposure during pregnancy and simulating the impact of exposure misclassification corroborated these results.This study addressed the safety concerns related to prenatal exposure to gadolinium-based contrast agents used in magnetic resonance imaging and the risk thereof on fetal and neonatal death or the need for neonatal intensive care unit admission. Although the results on fatal or severe acute effects are reassuring, the impact on subacute outcomes was not evaluated.

Background Accurate estimation of conception is critical in the assessment of the effects of drugs used during pregnancy or to prevent pregnancy. In a novel application, we studied the effectiveness of oral contraceptives (OCs), where misclassification of conception relative to OC exposure may obscure effect estimates. Methods We studied OC failure, in a large claims database, among women who used antiepileptic drugs with metabolizing enzyme-inducing properties (carbamazepine or oxcarbazepine), which reduce OC's effectiveness or enzyme-neutral properties (lamotrigine or levetiracetam), with no expected impact on OC effectiveness. We compared conception rates in women 12-48 years of age concomitantly using OCs and enzyme-inducing drugs with rates in concomitant users of OCs and enzyme-neutral drugs. We measured conception with a validated algorithm that estimates gestational age based on pregnancy endpoints. We estimated relative and attributable risk using generalized estimating equation models after standardized mortality ratio weighting. Results We identified 89,777 concomitant use episodes with adjusted contraceptive failure rates of 1.6 (95% confidence interval (CI) = 1.4, 1.8) per 100 person-years among users of enzyme-neutral drugs and 18,964 episodes with a rate of 2.3 (1.9, 2.8) among users of enzyme-inducing drugs. The relative risk of conception for enzyme-inducing group was 1.4 (1.1, 1.8), and the rate difference was 0.7 (0.2, 1.2). Conclusions OCs in combination with antiepileptic drugs that interact with metabolic enzymes were associated with increased contraceptive failure rates. Measurement of conception in claims data had adequate accuracy to uncover a strong drug-drug interaction, offering promise for broader application in comparative effectiveness studies on hormonal contraceptives to inform clinical and regulatory decisionmaking.

Background Before October 2015, pregnancy cohorts assembled from US health insurance claims have relied on medical encounters with International Classification of Diseases-ninth revision-clinical modification (ICD-9-CM) codes. We aimed to extend existing pregnancy identification algorithms into the ICD-10-CM era and evaluate performance. Methods We used national private insurance claims data (2005-2018) to develop and test a pregnancy identification algorithm. We considered validated ICD-9-CM diagnosis and procedure codes that identify medical encounters for live birth, stillbirth, ectopic pregnancy, abortions, and prenatal screening to identify pregnancies. We then mapped these codes to the ICD-10-CM system using general equivalent mapping tools and reconciled outputs with literature and expert opinion. Both versions were applied to the respective coding period to identify pregnancies. We required 45 weeks of health plan enrollment from estimated conception to ensure the capture of all pregnancy endpoints. Results We identified 7,060,675 pregnancy episodes, of which 50.1% met insurance enrollment requirements. Live-born deliveries comprised the majority (76.5%) of episodes, followed by abortions (20.3%). The annual prevalence for all pregnancy types was stable across the ICD transition period except for postterm pregnancies, which increased from 0.5% to 3.4%. We observed that ICD codes indicating gestational age were available for 86.8% of live-born deliveries in the ICD-10 era compared to 23.5% in the ICD-9 era. Patterns of prenatal tests remained stable across the transition period. Conclusion Translation of existing ICD-9-CM pregnancy algorithms into ICD-10-CM codes provided reasonable consistency in identifying pregnancy episodes across the ICD transition period. New codes for gestational age can potentially improve the precision of conception estimates and minimize measurement biases.

Purpose Clinical trials compare outcomes among patients receiving study treatment with comparators drawn from the same source. These internal controls are missing in single arm trials and from long‐term extensions (LTE) of trials including only the treatment arm. An external control group derived from a different setting is then required to assess safety or effectiveness. Methods We present examples of external control groups that demonstrate some of the issues that arise and make recommendations to address them through careful assessment of the data source fitness for use, design, and analysis steps. Results Inclusion and exclusion criteria and context that produce a trial population may result in trial patients with different clinical characteristics than are present in an external comparison group. If these differences affect the risk of outcomes, then a comparison of outcome occurrence will be confounded. Further, patients who continue into LTE may differ from those initially entering the trial due to treatment effects. Application of appropriate methods is needed to make valid inferences when such treatment or selection effects are present. Outcome measures in a trial may be ascertained and defined differently from what can be obtained in an external comparison group. Differences in sensitivity and specificity for identification or measurement of study outcomes leads to information bias that can also invalidate inferences. Conclusion This review concentrates on threats to the valid use of external control groups both in the scenarios of single arm trials and LTE of randomized controlled trials, along with methodological approaches to mitigate them.

Background Little is known about economic and productivity loss by severity of asthma. We investigate health-care utilization, direct medical costs, and indirect costs due to productivity loss from asthma by severity. Methods We conducted a cross-sectional analysis of the Medical Expenditure Panel Survey database (2010-2017) of patients with asthma aged ≥12 years and categorized them into mild, moderate, and severe asthma groups based on symptom control medications. Study outcomes included health-care utilization, direct medical costs, and indirect costs of asthma-related absenteeism. We used zero-inflated Poisson regression models to estimate incremental health-care utilization and generalized linear models to estimate incremental annual direct medical costs compared to patients without asthma. Results An estimated 139 million persons had an asthma diagnosis. Of patients with asthma, 77.1%, 22.2%, and 0.7% had mild, moderate, and severe asthma, respectively. Compared to patients without asthma, patients with asthma had incremental mean differences of 4.16 outpatient visits, 0.18 emergency department visits, and 0.07 hospitalizations per year. Annual direct medical costs were significantly associated with asthma severity ($3305 in mild, $7250 in moderate, and $9175 in severe asthma) (P < 0.05). Patients with mild, moderate, and severe asthma reported 0.76, 2.31, and 7.19 missed work or school days, resulting in $106, $321, and $1000 indirect costs per person per year, respectively. Conclusion Asthma-related direct and indirect costs are significantly associated with asthma severity, with severe asthma medical costs being about three times higher than mild. Controlling asthma symptoms is important to reduce the economic and social burden of asthma.

Background Guidelines assume children with chronic lung disease (CLD) who require medical support within 6 months before the second respiratory syncytial virus (RSV) season remains at high risk of severe RSV disease. We determined the number of days since the last treatment (DSL) when the risk of RSV hospitalization among children with CLD becomes equivalent to the risk for those not qualified for immunoprophylaxis. Methods The study cohort was assembled using Medicaid billing records from 1999 to 2010 linked to Florida and Texas birth certificate records. We developed DSL-trend discrete time logistic regression models within a survival analysis framework, adjusting for use of immunoprophylaxis, to compare the hospitalization risk of CLD infants at 4 age points to that of term infants at 1 month of age with siblings. Results The study cohort included 858 830 healthy term and 5562 preterm infants with CLD. Among 1-month-old term infants, the RSV hospitalization risk averaged across all covariate strata was 14.8 (95% confidence interval [CI], 13.5–16.1) per 1000 patient season-months. Risk for preterm CLD children reached the threshold derived from term infants when DSL was 76 (95% CI, 22–198.5), 52 (95% CI, 6.5–123), 35 (95% CI, 0–93.5), and 12 (95% CI, 0–61.5) at the respective ages of 12, 15, 17.2, and 21 months. Conclusions The 180-day threshold used to define CLD severity at season start can be shortened to 120 days, 90 days, and 60 days for children with CLD at age 15, 17.2, and 21 months, respectively.

Purpose Accurate ascertainment of gestational age (GA) has been a challenge in perinatal epidemiologic research. To date, no study has validated GA algorithms in Medicaid Analytic eXtract (MAX). Methods We linked livebirths of mothers enrolled in Medicaid ≥30 days after delivery in 1999-2010 MAX to state birth certificates. We used clinical/obstetric estimate of gestation on the birth certificates as gold standard to validate claims-based GA algorithms. We calculated the proportions of deliveries with algorithm-estimated GA within 1-/2-weeks of the gold standard, the sensitivity, specificity, and positive/negative predictive value (PPV/NPV) of exposure to select medications during specific gestation windows, and quantified the impact of exposure misclassification on hypothetical relative risk (RR) estimates. Results We linked 1 336 495 eligible deliveries. Within 1-week agreement was 77%-80% overall and 47%-56% for preterm deliveries. The trimester-specific drug exposure status had high sensitivities and PPVs (88.5%-98.5%), and specificities and NPVs (>99.0%). Assuming a hypothetical RR of 2.0, bias associated with exposure misclassification during first trimester ranged from 10% to 40% under non-differential/differential misclassification assumptions. Conclusions Claims-based GA algorithms had good agreement with the gold standard overall, but lower agreement among preterm deliveries, potentially resulting in biased risk estimated for pregnancy exposure evaluations.

OBJECTIVES: While Minimum Data Set (MDS) 3.0 has adopted Patient Health Questionnaire (PHQ)-9 to screen for depression and rephrased language for behavioral symptoms among nursing home residents, it remains unclear how well the assessment data agree with external sources. This study aimed at assessing the agreement of these two mental health conditions between MDS 3.0 and medical records. DESIGN: Using a retrospective review of MDS 3.0 linked to medical diagnostic records between October 2010 and November 2017, we included residents with at least one quarterly or short-term (day 30 or day 60) MDS-3.0 assessment of depression PHQ-9 (n=446) or behavioral symptoms (including psychosis, physical, verbal or other aggressive behaviors) (n=460). For each resident of each cohort, we randomly selected an eligible MDS-3.0 depression and behavioral symptom assessment and compared against the respective medical diagnoses recorded within 30 days before the MDS-3.0 assessment. RESULTS: Percent agreement was high for depression (90.1%) and behavioral symptoms (89.3%). The negative agreement was also high for depression (94.8%) and behavioral symptoms (94.3%), while the positive agreement was low for both conditions (4.3% and 10.9%). CONCLUSION: MDS-3.0 assessed depression and behavioral symptoms had a high overall and negative agreement, but a low positive agreement with clinician diagnoses. MDS 3.0 data may be useful in ruling out depression and behavioral symptoms. Confirmation of the findings in a representative sample of nursing homes is warranted.

Objectives: To evaluate the real-world effectiveness of ADHD medications on adverse driving outcomes in teenage drivers with ADHD. Method: We retrospectively followed 15- to 20-year-old ADHD patients with valid driver’s license to compare the risk for crashes and citations between periods with and without ADHD medication use, using Florida Medicaid records linked to Department of Motor Vehicles data from 1999 to 2004. Patient-level demographic, clinical, and driver licensing characteristics as well as county-level crash and traffic statistics were adjusted in Cox models. Results: A total of 2,049 patients had 67 crashes and 319 citations. Adjusted hazard ratios comparing ADHD medication use versus no use were 1.22 (95% confidence interval [CI] = [0.66, 1.90]) and 0.89 (95% CI = [0.69, 1.13]) for crashes and citations, respectively. Conclusion: Our study showed no evidence that ADHD medication use was associated with a reduced risk of adverse driving outcomes among teenage drivers enrolled in Medicaid programs. Limitations in interpreting this finding are presented.

We aimed to estimate the utility of panel‐based pharmacogenetic testing of patients undergoing percutaneous coronary intervention (PCI). Utilization of Clinical Pharmacogenetic Implementation Consortium (CPIC) level A/B drugs after PCI was estimated in a national sample of IBM MarketScan beneficiaries. Genotype data from University of Florida (UF) patients (n = 211) who underwent PCI were used to project genotype‐guided opportunities among MarketScan beneficiaries with at least one (N = 105,547) and five (N = 12,462) years of follow‐up data. The actual incidence of genotype‐guided prescribing opportunities was determined among UF patients. In MarketScan, 50.0% (52,799/105,547) over 1 year and 68.0% (8,473/12,462) over 5 years had ≥ 1 CPIC A/B drug besides antiplatelet therapy prescribed, with a projected incidence of genotype‐guided prescribing opportunities of 39% at 1 year and 52% at 5 years. Genotype‐guided prescribing opportunities occurred in 32% of UF patients. Projected and actual incidence of genotype‐guided opportunities among two cohorts supports the utility of panel‐based testing among patients who underwent PCI.

The rapidly expanding size of the Food and Drug Administration’s (FDA) Adverse Event Reporting System database requires modernized pharmacovigilance practices. Techniques to systematically identify high utility individual case safety reports (ICSRs) will support safety signal management. The aim of this study was to develop and validate a model predictive of an ICSR’s pharmacovigilance utility (PVU). PVU was operationalized as an ICSR’s inclusion in an FDA-authored pharmacovigilance review’s case series supporting a recommendation to modify product labeling. Multivariable logistic regression models were used to examine the association between PVU and ICSR features. The best performing model was selected for bootstrapping validation. As a sensitivity analysis, we evaluated the model’s performance across subgroups of safety issues. We identified 10,381 ICSRs evaluated in 69 pharmacovigilance reviews, of which 2115 ICSRs were included in a case series. The strongest predictors of ICSR inclusion were reporting of a designated medical event (odds ratio (OR) 1.93, 95% CI 1.54–2.43) and positive dechallenge (OR 1.67, 95% CI 1.50–1.87). The strongest predictors of ICSR exclusion were death reported as the only outcome (OR 2.72, 95% CI 1.76–4.35), more than three suspect products (OR 2.69, 95% CI 2.23–3.24), and > 15 preferred terms reported (OR 2.69, 95% CI 1.90–3.82). The validated model showed modest discriminative ability (C-statistic of 0.71). Our sensitivity analysis demonstrated heterogeneity in model performance by safety issue (C-statistic range 0.58–0.74). Our model demonstrated the feasibility of developing a tool predictive of ICSR utility. The model’s modest discriminative ability highlights opportunities for further enhancement and suggests algorithms tailored to safety issues may be beneficial.

The Age, Body mass index, Chronic kidney disease, Diabetes mellitus, and CYP2C19 GENEtic variants (ABCD-GENE) score was developed to identify patients at risk for diminished antiplatelet effects with clopidogrel after percutaneous coronary intervention (PCI). The objective of this study was to validate the ability of the ABCD-GENE score to predict the risk for atherothrombotic events in a diverse, real-world population of clopidogrel-treated patients who underwent PCI and received clinical CYP2C19 genotyping to guide antiplatelet therapy. A total of 2,341 adult patients who underwent PCI, were genotyped for CYP2C19, and received treatment with clopidogrel across four institutions were included (mean age 64 ± 12 years, 35% women, and 20% Black). The primary outcome was major atherothrombotic events, defined as the composite of all-cause death, myocardial infarction, ischemic stroke, stent thrombosis, or revascularization for unstable angina within 12 months following PCI. Major adverse cardiovascular events (MACE), defined as the composite of cardiovascular death, myocardial infarction, ischemic stroke, or stent thrombosis, was assessed as the secondary outcome. Outcomes were compared between patients with an ABCD-GENE score ≥ 10 vs. 10. The risk of major atherothrombotic events was higher in patients with an ABCD-GENE score ≥ 10 (n = 505) vs. 10 (n = 1,836; 24.6 vs. 14.7 events per 100 patient-years, adjusted hazard ratio (HR) 1.66, 95% confidence interval (CI), 1.23-2.25, P 0.001). The risk for MACE was also higher among patients with a score ≥ 10 vs. 10 (16.7 vs. 10.1 events per 100 patient-years, adjusted HR 1.59, 95% CI 1.11-2.30, P = 0.013). Our diverse, real-world data demonstrate diminished clopidogrel effectiveness in post-PCI patients with an ABCD-GENE score ≥ 10.

Prevention of prenatal exposures to teratogenic drugs is a significant clinical and public health concern. With the enactment of the US Food and Drug Administration Amendments Act in 2007, the US Food and Drug Administration has begun to require manufacturers to implement Risk Evaluation and Mitigation Strategies to prevent prenatal exposures. Among 12 risk evaluation and mitigation strategy drugs, several had predecessor risk mitigation plans (eg, isotretinoin) and some were newly required (eg, mycophenolate). Only a small proportion of teratogenic drugs are currently subject to Risk Evaluation and Mitigation Strategies, and the extent of prenatal exposure to the universe of teratogenic drugs compared with drugs subject to Risk Evaluation and Mitigation Strategies is unknown. Moreover, the effectiveness of such advanced risk mitigation programs in preventing prenatal exposure is not clear.This study aimed to characterize the epidemiology of prenatal exposures to definite and potential teratogens during the risk evaluation and mitigation strategy era.We constructed a time-series of pregnancies identified from a national private insurance claims database (IBM MarketScan) to estimate prenatal exposures to teratogenic drugs (2006-2017). Pregnancy outcomes, gestational age, and the onset of pregnancy were determined with previously validated algorithms. The Teratology Information Service and Clinical Pharmacology databases were used to identify drugs with definite (n=141) or potential (n=65) teratogenic effects, and drugs with debatable risks such as benzodiazepines, statins, tetracyclines, sex hormones, infertility treatments, and gonadotropin-releasing hormone analogs were excluded. We defined prenatal exposure as ≥1 prescription fill or medical encounter involving administration of drugs with a definite teratogenic risk (including 12 for which there is a "current or discontinued" risk evaluation and mitigation strategy) or a potential teratogenic risk. We evaluated secular trends and modeled the effects of age, preconception exposure, and state healthcare quality rankings on prenatal exposure, adjusting for demographic factors and clinical conditions.The cohort included 3,445,612 pregnancies (2,532,444 live deliveries). Prenatal exposures to definite teratogens decreased slightly during the study years from 1.86 to 1.24 per 100 pregnancies between 2006 and 2017, whereas exposure increased for potential teratogens from 3.40% to 5.33%. Prenatal exposure prevalences were higher during the first trimester and for pregnancies that ended in nonlive outcomes. Drugs subject to Risk Evaluation and Mitigation Strategies had low background utilization and contributed to a small proportion of prenatal exposures (15.1 per 100,000 pregnancies). We also observed fewer prenatal exposures to risk evaluation and mitigation strategy drugs among women of childbearing age who used these treatments (0.14% vs 0.36% for any definite teratogen). Age extremes and low state-level healthcare quality rankings were independent predictors of prenatal exposure.Fetuses in more than 1 in 16 pregnancies continued to be exposed to teratogenic drugs during the past decade. Drugs with Risk Evaluation and Mitigation Strategies imposed a small burden of prenatal exposure because of the low background utilization rates and lower pregnancy prevalence among women of childbearing age who used these drugs. Although the declining exposure rates to teratogenic drugs with definite risk are encouraging, the rising prenatal exposure to drugs with potential risk calls for more assessments. Future research is needed to elucidate the health outcomes of fetuses exposed to potential risk drugs, understand the effectiveness of risk evaluation and mitigation strategy programs, and prioritize teratogenic drugs for advanced risk mitigation.

Gabapentinoids are recommended by guidelines as a component of multimodal analgesia to manage postoperative pain and reduce opioid use. It remains unknown whether perioperative use of gabapentinoids is associated with a reduced or increased risk of postoperative long-term opioid use (LTOU) after total knee or hip arthroplasty (TKA/THA).Using Medicare claims data from 2011 to 2018, we identified fee-for-service beneficiaries aged ≥ 65 years who were hospitalized for a primary TKA/THA and had no LTOU before the surgery. Perioperative use of gabapentinoids was measured from 7 days preadmission through 7 days postdischarge. Patients were required to receive opioids during the perioperative period and were followed from day 7 postdischarge for 180 days to assess postoperative LTOU (ie, ≥90 consecutive days). A modified Poisson regression was used to estimate the relative risk (RR) of postoperative LTOU in patients with versus without perioperative use of gabapentinoids, adjusting for confounders through propensity score weighting.Of 52,788 eligible Medicare older beneficiaries (mean standard deviation [SD] age 72.7 [5.3]; 62.5% females; 89.7% White), 3,967 (7.5%) received gabapentinoids during the perioperative period. Postoperative LTOU was 3.8% in patients with and 4.0% in those without perioperative gabapentinoids. After adjusting for confounders, the risk of postoperative LTOU was similar comparing patients with versus without perioperative gabapentinoids (RR = 1.07; 95% confidence interval [CI] = 0.91-1.26, P = .408). Sensitivity and bias analyses yielded consistent results.Among older Medicare beneficiaries undergoing a primary TKA/THA, perioperative use of gabapentinoids was not associated with a reduced or increased risk for postoperative LTOU.

OBJECTIVES: To evaluate the prescription sequence symmetry analysis assumption regarding balance between marker drug (i.e., medication used to treat a drug-induced adverse event) initiation rates before and after initiation of an index drug (i.e., medication that is potentially associated with the drug-induced adverse event) in the absence of prescribing cascades, we used a well-described example of loop diuretic initiation to treat dihydropyridine calcium channel blockers (DH CCB)-induced edema. STUDY DESIGN AND SETTING: The University of Florida Health Integrated Data Repository from June 2011 and July 2018 was used to assess temporal prescribing of DH CCB and loop diuretics within the prescription sequence symmetry analysis framework. Validation of the prescribing cascade was performed via clinical expert chart review. RESULTS: Among patients without heart failure who were initiated on DH CCB, 26 and 64 loop diuretics initiators started within 360 days before versus after DH CCB initiation, respectively, resulting in an adjusted sequence ratio (aSR) of 2.27 (95% CI, 1.44–3.58). Overall, 35 (54.7%) patients were determined to have a prescribing cascade. Removing patients who experienced a prescribing cascade resulted in an aSR of 1.05, 95% CI 0.62–1.78). CONCLUSION: Loop diuretic initiation rates before and after DH CCB initiation for reasons other a prescribing cascade were similar, thus confirming the prescription sequence symmetry analysis assumption.

Background The scientific method requires studies with high internal and external validity. Though both are necessary, they do not go hand-in-hand: The more controlled a study is to enhance internal validity, the less applicable to real-world clinical care, and vice versa. In the many instances where evidence from clinical trials is not available, scientific inference must rely on more extreme approaches on this spectrum, such as mechanistic (limited generalizability/strong bias control) and real-world evidence (RWE) studies (higher generalizability/lesser bias control). Objectives Illustrate how triangulating mechanistic and RWE studies can enhance scientific inference by delivering the supporting evidence for both. Methods We describe our research on an unexpected and highly unlikely drug safety issue: the risk of tympanic membrane (TM) perforations resulting from otic quinolone therapy. Tightly controlled laboratory studies using cell culture and rodent models were complemented with pharmacoepidemiological studies of real-world data to translate mechanistic findings and corroborate RWE. Results We present a cascade of mechanistic and RWE studies investigating fibroblast cytotoxicity, delayed healing of perforated TMs, and spontaneous TM perforations after otic quinolone exposure, all suggesting local tissue toxicity. Conclusion Triangulation of mechanistic and RWE studies allowed incremental progress toward robust evidence on otic quinolone toxicity.

BACKGROUND Whether the cardiorenal benefits of sodium–glucose cotransporter 2 (SGLT2) inhibitors and glucagon-like peptide 1 receptor agonists (GLP-1RAs) are comparable between White and Asian populations remains unclear. PURPOSE To compare the cardiorenal benefits of SGLT2 inhibitors and GLP-1RAs between White and Asian populations and to compare the cardiorenal benefits between the two agents in Asian patients. DATA SOURCES Electronic databases were searched up to 28 March 2021. STUDY SELECTION We included the cardiovascular (CV) and renal outcome trials of SGLT2 inhibitors and GLP-1RAs where investigators reported major adverse CV events (MACE), CV death/hospitalization for heart failure (HHF), or composite renal outcomes with stratification by race. DATA EXTRACTION We extracted the hazard ratio of each outcome stratified by race (Asian vs. White populations). DATA SYNTHESIS In 10 SGLT2 inhibitor trials, there was no significant difference between Asian and White populations for MACE (P = 0.55), CV death/HHF (P = 0.87), or composite renal outcomes (P = 0.97). In seven GLP-1RA trials, we observed a similar MACE benefit between Asian and White populations (P = 0.10). In our networkmeta-analysis we found a comparable benefit for MACE between SGLT2 inhibitors and GLP-1RAs in Asian patients. LIMITATIONS The data were from stratified analyses. CONCLUSIONS There appear to be comparable cardiorenal benefits of SGLT2 inhibitors and GLP-1RAs between Asian and White participants enrolled in CV and renal outcome trials; the two therapies seem to have similar CV benefits for Asian participants.

BACKGROUND Drug-related adverse events associated with antihypertensive therapy may result in subsequent prescribing of other potentially harmful medications, known as prescribing cascades. The aim of this study was to assess the magnitude and characteristics of a beta-blocker–edema–loop diuretic prescribing cascade. METHODS A prescription sequence symmetry analysis was used to assess loop diuretic initiation before and after initiation of beta-blockers among patients 20 years or older without heart failure, atrial fibrillation, other arrythmias, or use of calcium channel blocker within a U.S. private insurance claims database (2005–2018). The temporality of loop diuretic initiation relative to a beta-blocker or negative control (renin-angiotensin system blocker) initiation was tabulated. Secular trend-adjusted sequence ratios (aSRs) with 95% confidence intervals (CIs) compared the initiation of loop diuretic 90 days before and after initiation of beta-blockers. RESULTS Among 988,675 beta-blocker initiators, 9,489 patients initiated a new loop diuretic prescription 90 days after and 5,245 patients before beta-blocker initiation, resulting in an aSR of 1.78 (95% CI, 1.72–1.84). An estimated 1.72 beta-blocker initiators per 100 patient-years experienced the prescribing cascade in the first 90 days. The aSR was disproportionately higher among older adults (aSR 1.97), men (aSR 2.25), and patients who initiated metoprolol tartrate (aSR 2.48), labetalol (aSR 2.18), or metoprolol succinate (aSR 2.11). Negative control results (aSR 1.09, 95% CI, 1.05–1.13) generally corroborated our findings, but suggested modest within-person time-varying confounding. CONCLUSIONS We observed excess use of loop diuretics following beta-blocker initiation that was only partially explained by secular trends or hypertension progression.

Background: Little is known about the clinical training or practice experiences among physicians who certify patients for medical marijuana. The objective of this study was to determine information sources, factors influencing recommendations, clinical practices in patient assessment, communications, and recommendations, and priority areas for additional training among physicians who certify patients for medical marijuana. Methods: A cross-sectional state-wide anonymous survey of registered medical marijuana physicians in Florida between June and October 2020 was administered. Numerical responses were quantified using counts and percentages. The frequencies for “often” and “always” responses were aggregated when appropriate. Results: Among 116 respondents, the mean (standard deviation) age was 57 (12) years old, and 70% were male. The most frequently used information sources were research articles (n = 102, 95%), followed by online sources (n = 99, 93%), and discussions with other providers and dispensary staff (n = 84, 90%). Safety concerns were most influential in patient recommendations (n = 39, 39%), followed by specific conditions (n = 30, 30%) and patient preferences (n = 26, 30%). Ninety-three physicians (92%) reported they “often” or “always” perform a patient physical exam. Eighty-four (77%) physicians provided specific administration route recommendations. Half (n = 56) “often” or “always” provided specific recommendations for Δ-9-tetrahydrocannabinol: cannabidiol ratios, while 69 (62%) “often” or “always” provided specific dose recommendations. Online learning/training modules were the most preferred future training mode, with 88 (84%) physicians “likely” or “very likely” to participate. The top 3 desired topics for future training were marijuana-drug interactions (n = 84, 72%), management of specific medical conditions or symptoms (n = 83, 72%), and strategies to reduce opioids or other drugs use (n = 78, 67%). Conclusions: This survey of over 100 medical marijuana physicians indicates that their clinical practices rely on a blend of research and anecdotal information sources. While physicians report clinical factors as influential during patient recommendation, patient assessment practices and treatment regimen recommendations vary substantially and rely on experimental approaches. More research is needed to inform evidence-based practice and training, especially considering details on drug interactions, risk-benefit of treatment for specific clinical conditions, and strategies to reduce opioid use.

Objective The objective of this study was to develop and test a measure that estimates unplanned, 30-day, all-cause risk-standardized readmission rates (RSRRs) after inpatient psychiatric facility (IPF) discharge. Participants We established a retrospective cohort of adults with a principal diagnosis of psychiatric illness or dementia discharged from IPFs to nonacute care settings, using 2012-2013 Medicare fee-for-service claims data. Measures All-cause unplanned readmissions within 3-30 days post-IPF discharge were assessed by constructing then validating a parsimonious logistic regression model of 56 risk factors (selected via empirical data, systematic literature review, clinical expert opinion) for readmission using bootstrapping. RSRRs were calculated from the ratio of predicted versus expected readmission rates for each IPF using hierarchical regression. Measure reliability and validity were assessed via multiple strategies. Results The measure development cohort included 716,174 admissions to 1679 IPFs and 149,475 (20.9%) readmissions. Most readmissions (>80%) had principal diagnoses of mood, schizoaffective or substance use disorders, delirium/dementia, infections or drug/substance poisoning. Facility RSRRs ranged from 11.0% to 35.4%. The risk adjustment model showed good calibration and moderate discrimination similar to other readmission risk models (c statistic 0.66). Sensitivity analyses solidified the risk modeling approach. The intraclass correlation coefficient of estimated IPF RSRRs was 0.78, indicating good reliability. The measure identified 8.3% of hospitals as having better and 13.4% as having worse RSRRs than the national readmission rate. Conclusions The measure provides an assessment of facility-level quality and insight into risk factors useful for informing preventive interventions. The measure will be included in the Centers for Medicare and Medicaid Services (CMS) Inpatient Psychiatric Quality Reporting program in 2019.

Objective To examine whether concomitant use of quinolones and stimulants increases the risk of cardiac events in adults. Study design A retrospective cohort study of privately insured adults using MarketScan® claims data from 2008 to 2015. Patients Stimulant (methylphenidate or mixed amphetamine salts) users (18-65 yrs old) with continuous health plan enrollment for the 6 months (baseline) prior to the first dispensation (index date) of oral quinolones or comparators (amoxicillin ± clavulanate or azithromycin). OUTCOMES DEFINITION: (1) Cardiac symptoms (palpitation, tachycardia, or syncope); (2) cardiac arrhythmias (ventricular arrhythmias, paroxysmal ventricular tachycardia, or cardiac arrest). Analysis Baseline covariates adjustment was through inverse probability of treatment weighting. Adults were followed until the antimicrobial therapy ended. The hazard of cardiac events in stimulant-quinolones-exposed adults was compared to those who were treated with stimulant-comparator antibiotics using a weighted Cox regression model. Several sensitivity analyses were performed to challenge the results robustness. Results The study cohorts comprised 390,490 stimulants users who initiated either quinolone or amoxicillin, and 387,574 patients receiving stimulants who initiated quinolone or azithromycin. The unadjusted incidence rate for cardiac symptoms in stimulant-quinolones users was 471 cases/10,000 patient-years, and it was 244 cases/10,000 patient-years in patients exposed to stimulant-amoxicillin; whereas the unadjusted incidence rate for cardiac symptoms was 728 and 358 per 10,000 patient-years for stimulant-quinolones and stimulant-azithromycin cohorts, respectively. Compared to stimulant-amoxicillin use, the adjusted hazard ratio (HR) for cardiac symptoms with stimulant-quinolones use was 1.61 (95% confidence interval [CI], 1.30-1.98). The HR for cardiac symptoms for patient exposed to stimulant-quinolones was 1.69 (95% CI, 1.32-2.13) when compared to stimulant-azithromycin. The sensitivity analysis findings were consistent with the primary analysis. A few patients across the study comparison groups developed cardiac arrhythmias. Conclusion Concomitant use of stimulants and quinolone was associated with an increased hazard of cardiac symptoms in comparison to concomitant use of stimulants and amoxicillin or azithromycin, but there was no apparent difference in cardiac arrhythmias.

Background The completeness of medical encounters capture among Medicaid enrollees in comprehensive managed care (CMC) has been shown to vary across states and years. CMC penetration has grown, and CMC encounter capture specific to pregnancy care is understudied. Objectives To compare the completeness of encounter data for pregnant beneficiaries in CMC versus traditional fee-for-service (FFS) in Texas and Florida between 2007 and 2010. Methods Using Medicaid Analytic eXtract (MAX) data linked to Florida and Texas birth certificate records, for each state and study year, we compared proportions using seven themes: (a) delivery; (b) prenatal visits; (c) dispensed prescriptions during pregnancy; (d) gestational diabetes and blood glucose testing; (e) antidiabetics and diagnosis of diabetes mellitus; (f) antibiotics for urinary tract infection and outpatient encounter; and (g) bacterial vaginosis and dispensing for metronidazole or clindamycin. We considered CMC data to be acceptable if proportions were no less than 10% below the corresponding (2007 to 2010) FFS control values. Results Pregnancy-related characteristics of FFS vs CMC denominators were comparable. Proportions for the seven measures among FFS controls ranged from 26% to 98%. In Texas, CMC encounter data met the thresholds for all measures between 2007 and 2010. Florida had usable CMC encounter data starting from 2009 with incomplete medical and pharmacy records in 2007 and 2008. Conclusions The quality of CMC encounter data in MAX files for pregnant women varied in Florida and Texas and improved over time. Use of pregnancy-specific measures can aid researchers in selecting states and years with acceptable encounter data quality.

BackgroundIn 2012, the US Food and Drug Administration approved a Risk Evaluation and Mitigation Strategy (REMS) programme including mandatory prescriber training and a patient/provider acknowledgement form to prevent fetal exposure to mycophenolate. Prior to the REMS, the teratogenic risk was solely mitigated via written information (black box warning, medication guide (MG period)). To date, there is no evidence on the effectiveness of the REMS.MethodsWe used a national private health insurance claims database to identify women aged 15–44 who filled ≥1 mycophenolate prescription. To compare fetal exposure during REMS with the MG period, we estimated the prevalence of pregnancy at treatment initiation in a pre/post comparison (analysis 1) and the rate of conception during treatment in a retrospective cohort study (analysis 2). Pregnancy episodes were measured based on diagnosis and procedure codes for pregnancy outcomes or prenatal screening. We used generalised estimating equation models with inverse probability of treatment weighting to calculate risk estimates.ResultsThe adjusted proportion of existing pregnancy per 1000 treatment initiations was 1.7 (95% CI 1.0 to 2.9) vs 4.1 (95% CI 3.2 to 5.4) during the REMS and MG period. The adjusted prevalence ratio and prevalence difference were 0.42 (95% CI 0.24 to 0.74) and −2.4 (95% CI −3.8 to −1.0), respectively. In analysis 2, the adjusted rate of conception was 12.5 (95% CI 8.9 to 17.6) vs 12.9 (95% CI 9.9 to 16.9) per 1000 years of mycophenolate exposure time in the REMS versus MG periods. The adjusted risk ratio and risk difference were 0.97 (95% CI 0.63 to 1.49) and −0.4 (95% CI −5.9 to 5.0), respectively. Sensitivity analyses on the estimated conception date demonstrated robustness of our findings.ConclusionWhile the REMS programme achieved less pregnancies at treatment initiation, it failed to prevent the onset of pregnancy during treatment. Enhanced approaches to ensure effective contraception during treatment should be considered.

PURPOSE: The state-assigned Case ID number in the Medicaid Analytic eXtract (MAX) allows for potential linkage of mothers to infants. No validation of respective linkage algorithms is available. We established and validated an algorithm within MAX that links mothers to infants and to identify factors influencing successful mother-infant linkage. METHODS: We identified all mother-infant pairs in FL and TX birth certificates records (BCR) that could be linked individually to MAX records (1999–2005 for FL and 1999–2010 for TX) based on Social Security Number (gold standard pairs). Case ID linkage performance was evaluated as the proportion of gold standard mother-infant pairs that were identified by the algorithm (sensitivity) and the proportion of algorithm defined mother-infant pairs that were correctly linked. Generalized estimating equations were used to calculate the probability for successful Case ID algorithm linkage versus non-linkage using maternal and infant characteristics. RESULTS: We identified 323,160 gold standard pairs in FL BCR and MAX and 1,025,350 in TX BCR and MAX. Depending on Medicaid enrollment the algorithm sensitivity ranged from 85.51% to 87.96% in FL and 19.60% to 35.75% in TX. In both states, positive predictive value exceeded 99%, regardless of enrollment periods. Determinants for successful linkage varied across states, but suggested better results for younger mothers, minority women, and those with lower educational achievement. CONCLUSIONS: Our algorithm can correctly link liveborn infants to their mothers. The algorithm’s sensitivity in identifying pairs varied across states, but PPV was consistently high. Linkage performance was associated with certain characteristics that may affect representativeness of successfully linked pairs.

Purpose We aimed to construct a dynamic model for predicting severe QT interval prolongation in hospitalized patients using inpatient electronic health record (EHR) data. Methods A retrospective cohort consisting of all adults admitted to 2 large hospitals from January 2012 through October 2013 was established. Thirty-five risk factors for severe QT prolongation (defined as a Bazett’s formula—corrected QT interval [QTc] of ≥500 msec or a QTc increase of ≥60 msec from baseline) were operationalized for automated EHR retrieval; upon univariate analyses, 26 factors were retained in models for predicting the 24-hour risk of QT events on hospital day 1 (the Day 1 model) and on hospital days 2–5 (the Days 2–5 model). Results A total of 1,672 QT prolongation events occurred over 165,847 days of risk exposure during the study period. C statistics were 0.828 for the Day 1 model and 0.813 for the Days 2–5 model. Patients in the upper 50th percentile of calculated risk scores experienced 755 of 799 QT events (94%) allocated in the Day 1 model and 804 of 873 QT events (92%) allocated in the Days 2–5 model. Among patients in the 90th percentile, the Day 1 and Days 2–5 models captured 351 of 799 (44%) and 362 of 873 (41%) QT events, respectively. Conclusion The risk models derived from EHR data for all admitted patients had good predictive validity. All risk factors were operationalized from discrete EHR fields to allow full automation for real-time identification of high-risk patients. Further research to test the models in other health systems and evaluate their effectiveness on outcomes and patient care in clinical practice is recommended.

The application of modeling and simulation (M&S) tools to biological, physiological, and clinical data has great potential to enhance drug development and regulatory decision making. The strategic development of multidisciplinary projects aimed at integrating methodologies from different disciplines may bridge between preclinical and clinical drug development as well as between academic curiosity and clinical practice. Herein we review the history and present the state of M&S approaches as well as our vision for future challenges and applications.

Recent guidelines call for more intensive blood pressure (BP)-lowering and a less stringent treatment-resistant hypertension (TRH) definition, both of which may increase the occurrence of this high-risk phenotype. We performed a post-hoc analysis of 11,784 SPRINT and ACCORD-BP participants without baseline TRH, who were randomized to an intensive (

Background There exists limited data on the association between unhealthy body weight and chronic pain, and whether this association is explained by frailty status of older adults. Methods We included older adults aged ≥65 years from the 1999–2004 National Health and Nutrition Examination Survey (NHANES). Chronic pain was defined by self-reported pain lasting for ≥3 months in the past year. Body mass index (BMI) was categorized as underweight, normal, overweight, and obese. Participants were dichotomized as frail or non-frail based on a validated frailty index calculated as the proportion of the number of deficits present to a total of 45 possible deficits ascertained in NHANES. We used modified Poisson regression models to estimate prevalence ratios (PRs) and their 95% confidence intervals (CIs). Results Of 3693 older participants, one in six (15.9%) experienced chronic pain, with higher prevalence among the underweight (24.6%) and obese (20.2%) group. Frailty versus non-frailty was independently associated with BMI (PR = 1.25, 95% CI = 1.16–1.36 for underweight; and PR = 1.15, 95% CI = 1.07–1.22 for obese), and chronic pain (PR = 2.84, 95% CI = 2.18–3.69). After adjustment for frailty, the association between BMI and chronic pain decreased from PR = 1.82 to 1.64 for the underweight and 1.41 to 1.33 for the obese group. We did not observe an interaction effect between frailty and BMI. Conclusions Unhealthy body weight was associated with increased chronic pain and the associations were partially explained by frailty status of older adults. Our findings generate hypotheses for further investigations of the interplay of these chronic conditions in older adults. Electronic supplementary material The online version of this article (10.1186/s12877-019-1149-4) contains supplementary material, which is available to authorized users.

Background Non-medical use (NMU) of prescription opioids is a public health concern and sex differences in prevalence of NMU have been observed previously. Little is known about how youth are obtaining and using these drugs. While any regular use could be problematic, NMU is particularly concerning. More information is needed on NMU patterns among youth and how these patterns might differ by sex. Methods The National Monitoring of Adolescent Prescription Stimulants Study (N-MAPSS) recruited youth 10–18 years of age from 10 US metropolitan areas from 2008 to 2011 with a final sample of 11,048 youth. The cross-sectional survey included questions on past 30 day use of prescription opioids (10,965 provided responses), with NMU defined as non-oral use and/or use of someone else's opioids. NMU through use of a patient's own prescription orally for a reason other than prescribed could not be identified, though this is usually contained within the standard definition of NMU. Results Among the 10,965 youth, past 30 day prevalence of NMU of prescription opioids was 3.1% (n = 345) with 59.7% (n = 206) using someone else's opioids only, 5.2% (n = 18) having non-oral use only and 35.1% (n = 121) having both. In total, seven sources and three routes of administration were assessed. The most common source among males was someone from school (n = 111, 60.0%), with no highly prevalent second source. Among females, there were two prevalent sources of prescription opioids; a parent (n = 59,41.6%) and someone from school (n = 53,37.3%). For non-oral use, snorting prescription opioids was more frequent among males compared to females (n = 85, 31.8% and n = 44, 17.1%; p Conclusions Based on these findings, to combat the current opioid crisis, implementation of strategies to prevent youth from sharing opioids, especially with friends from school, should be considered and tested.

Background Injury, prevalent and potentially associated with prescription opioid use among older adults, has been implicated as a warning sign of serious opioid-related adverse events (ORAEs) including opioid misuse, dependence, and poisoning, but this association has not been empirically tested. The study aims to examine the association between incident injury after prescription opioid initiation and subsequent risk of ORAEs and to assess whether the association differs by recency of injury among older patients. Methods and findings This nested case-control study was conducted within a cohort of 126,752 individuals aged 65 years or older selected from a 5% sample of Medicare beneficiaries in the United States between 2011 and 2018. Cohort participants were newly prescribed opioid users with chronic noncancer pain who had no injury or ORAEs in the year before opioid initiation, had 30 days or more of observation, and had at least 1 additional opioid prescription dispensed during follow-up. We identified ORAE cases as patients who had an inpatient or outpatient encounter with diagnosis codes for opioid misuse, dependence, or poisoning. During a mean follow-up of 1.8 years, we identified 2,734 patients who were newly diagnosed with ORAEs and 10,936 controls matched on the year of cohort entry date and a disease risk score (DRS), a summary score derived from the probability of an ORAE outcome based on covariates measured prior to cohort entry and in the absence of injury. Multivariate conditional logistic regression was used to estimate ORAE risk associated with any and recency of injury, defined based on the primary diagnosis code of inpatient and outpatient encounters. Among the cases and controls, 68.0% (n = 1,859 for cases and n = 7,436 for controls) were women and the mean (SD) age was 74.5 (6.9) years. Overall, 54.0% (n = 1,475) of cases and 46.0% (n = 1,259) of controls experienced incident injury after opioid initiation. Patients with (versus without) injury after opioid therapy had higher risk of ORAEs after adjustment for time-varying confounders, including diagnosis of tobacco or alcohol use disorder, drug use disorder, chronic pain diagnosis, mental health disorder, pain-related comorbidities, frailty index, emergency department visit, skilled nursing facility stay, anticonvulsant use, and patterns of prescription opioid use (adjusted odds ratio [aOR] = 1.4; 95% confidence interval (CI) 1.2 to 1.5; P < 0.001). Increased risk of ORAEs was associated with current (≤30 days) injury (aOR = 2.8; 95% CI 2.3 to 3.4; P < 0.001), whereas risk of ORAEs was not significantly associated with recent (31 to 90 days; aOR = 0.93; 95% CI 0.73 to 1.17; P = 0.48), past (91 to 180 days; aOR = 1.08; 95% CI 0.88 to 1.33; P = 0.51), and remote (181 to 365 days; aOR = 0.88; 95% CI 0.73 to 1.1; P = 0.18) injury preceding the incident diagnosis of ORAE or matched date. Patients with injury and prescription opioid use versus those with neither in the month before the ORAE or matched date were at greater risk of ORAEs (aOR = 5.0; 95% CI 4.1 to 6.1; P < 0.001). Major limitations are that the study findings can only be generalized to older Medicare fee-for-service beneficiaries and that unknown or unmeasured confounders have the potential to bias the observed association toward or away from the null. Conclusions In this study, we observed that incident diagnosis of injury following opioid initiation was associated with subsequent increased risk of ORAEs, and the risk was only significant among patients with injury in the month before the index date. Regular monitoring for injury may help identify older opioid users at high risk for ORAEs.

One of the main safety concerns associated with SGLT2 inhibitors (SGLT2i) is the increased risk of acute kidney injury (AKI), likely attributed to their diuretic effect and the induced hypovolemia. Yet, little is known about what patients are at highest risk of developing AKI when using SGLT2is. We applied machine learning techniques to predict AKI in type 2 diabetes (T2D) patients treated with SGLT2i and identify risk factors associated with AKI. Using a 5% random sample of Medicare claim data, we identified 17,694 T2D patients who filled ≥1 prescription for canagliflozin, dapagliflozin or empagliflozin prescriptions between 04/01/2013 and 12/31/2016. The cohort was split randomly and equally into training and testing sets. We measured 65 predictor candidates using claims data from the year prior to SGLT2i initiation and applied 3 machine learning models, i.e., random forests (RF), elastic net, least absolute shrinkage and selection operator (LASSO). The incidence rate of AKI was 1.1 % over a median 1.5-year follow up. Among 3 machine learning methods applied, RF produced the best prediction (C- statistic =0.72 ,95% CI 0.68, 0.76), followed by LASSO (C-statistic=0.69 95% CI 0.65,0.73). Among individuals classified in the top 10% of the RF risk score (i.e., high risk group), the actual incidence rate of AKI was as high as 3.7%. RF and LASSO selected similarly sets of important predictors, such as age, Medicaid eligibility, and loop diuretics use. In the logistic regression including 14 predictors selected by LASSO, use of loop diuretics [adjusted OR: 3.72 (2.44, 5.76)] and history of AKI [adjusted OR: 2.78 (1.06,7.3)] had the strongest associations with incidence of AKI. Our machine learning model efficiently identified patients who are at high risk of AKI after SGLT2i initiation. Strikingly, we identified an almost four-fold increased risk of AKI associated with background loop diuretic use among SGLT2i users. Disclosure L. Yang: None. N. Gabriel: None. I. Hernandez: Consultant; Self; Bristol-Myers Squibb Company, Pfizer Inc. A. G. Winterstein: Research Support; Self; Merck Sharp & Dohme Corp. S. Kimmel: Consultant; Self; GE Healthcare, GlaxoSmithKline plc. J. Guo: None.

Head-to-head comparison of clinical benefits between glucagon-like peptide-1 receptor agonists (GLP-1RA) and sodium-glucose co-transporter-2 inhibitors (SGLT2i) are scarce. In this study, we aimed to compare real world cardiovascular benefits associated with the use of GLP-1RA vs. SGLT2i as add-on therapies to metformin among US adults with T2D. Methods: This study used data from the IBM® MarketScan® Commercial Claims Databases (2012-2018). We identified metformin users, age ≥ 18 and with T2D, who initiated GLP-1RA or SGLT2i between Mar 29th and Dec 31st, 2013. Patients were followed until the primary endpoint, end of the study period (Dec 31st 2018), study drug discontinuation or initiation of the other study drug, or disenrollment from the health plan (whichever occurred first). The primary endpoint was a major cardiovascular composite (MCC), including acute myocardial infarction (MI), hospitalization for congestive heart failure (CHF), and stroke. The secondary endpoints included individual components of MCC. We constructed Cox proportional hazard regression models to compare the risks of cardiovascular endpoints between GLP-1RA and SGLT2i users, controlling for demographics, clinical characteristics, and the Diabetes Complication Severity Index. Results: We identified 11,911 adults with T2D who initiated a GLP-1RA or SGLT2i as an add-on therapy to metformin. No difference in the risk of MCC or any secondary endpoints was observed between GLP-1RA users and SGLT2i users who did not have established cardiovascular disease. However, significantly lower risks of MCC (HR:0.67, 95% CI: 0.47-0.97) and CHF (HR:0.47, 95% CI:0.28-0.79) was observed among SGLT2i users compared with GLP-1RA users, among individuals with established cardiovascular complications. Conclusions: Results suggest a greater cardioprotective benefit from SGLT2i compared to GLP-1RA when used for secondary prevention among adults with T2D. Disclosure C. E. Deremer: Research Support; Self; Pfizer Inc., Speaker’s Bureau; Spouse/Partner; Pharmacy Times, Stock/Shareholder; Self; Portola Pharmaceuticals, Inc. J. Guo: None. S. M. Vouri: None. M. J. Haller: Board Member; Self; SAB Biotherapeutics, Inc., Consultant; Self; MannKind Corporation, Other Relationship; Self; Janssen Pharmaceuticals, Inc., Sanofi. W. T. Donahoo: None. A. G. Winterstein: Research Support; Self; Merck Sharp & Dohme Corp. H. Shao: Research Support; Self; Sanofi.

Fast escalating price of insulin and introductions of high-cost new GLMs in the last decade could affect racial/ethnic groups differently. This study examined trends in GLM uses, OOP payments for GLMs, and HbA1c control by racial/ethnic group among US adults with diabetes from 2005 to 2018. Data were from the Medical Expenditure Panel Survey and the National Health and Nutrition Examination Survey. Persons with diabetes were identified by self-report or lab test. GLM uses were identified by national drug code. We compared trends in the three study outcomes among non-Hispanic White perons, non-Hispanic Black perons, and Hispanic perons. Between 2005 and 2018, the use of newer GLM (dipeptidyl peptidase-4 inhibitors, glucagon-like peptide 1 receptor agonists, and sodium-glucose transport protein 2 inhibitors) was higher in non-Hispanic White persons (0% to 24.9%) than non-Hispanic Black persons (0% to 19.9%,) or Hispanic persons (0% to 19.5%, all p Disclosure P. Li: None. D. Guan: None. J. Guo: None. A. G. Winterstein: Research Support; Self; Merck Sharp & Dohme Corp. P. Zhang: None. H. Shao: Research Support; Self; Sanofi.

INTRODUCTION Discontinuation of long-term opioid therapy has increased in recent years, but whether this trend extends to patients with Alzheimer disease and related dementia remains unclear. METHODS Medicare data from 2011 to 2018 were analyzed to compare the trends in the use and discontinuation of long-term opioid therapy between patients with and without Alzheimer disease and related dementia who had chronic noncancer pain. Outcome measures were annual proportions of (1) patients who received long-term opioid therapy and (2) long-term opioid therapy users who subsequently discontinued opioids for ≥30, 60, or 90 days during 12-month follow-up. All analyses were performed in 2021. RESULTS The use of long-term opioid therapy decreased from 2011 to 2017 in both patients with and without Alzheimer disease and related dementia. In long-term opioid therapy users, discontinuation of opioids for ≥30, 60, and 90 days increased by 8% (95% CI=1.04, 1.12, p

Introduction Concurrent use of prescription opioids with gabapentinoids may pose risks of serious drug interactions. Yet, little is known about the trends in and patient characteristics associated with concurrent opioid–gabapentinoid use among older Medicare opioid users with chronic noncancer pain. Methods A cross-sectional study was conducted among Medicare older beneficiaries (aged ≥65 years) with chronic noncancer pain who filled ≥1 opioid prescription within 3 months after a randomly selected chronic noncancer pain diagnosis (index date) in a calendar year between 2011 and 2018. Patient characteristics were measured in the 6-month baseline before the index date, and concurrent opioid–gabapentinoid use for ≥1 day was measured in the 3-month follow-up after the index date. Multivariable modified Poisson regression hwas used to assess the trends and characteristics of concurrent opioid–gabapentinoid use. Analyses were conducted from January to June 2021. Results Among 464,721 eligible older beneficiaries with chronic noncancer pain and prescription opioids, the prevalence of concurrent opioid–gabapentinoid use increased from 17.0% in 2011 to 23.5% in 2018 (adjusted prevalence ratio=1.48, 95% CI=1.45, 1.53). Concurrent users versus opioid-only users tended to be non-Black, low-income subsidy recipients, and Southern residents. The clinical factors associated with concurrent opioid–gabapentinoid use included having a diagnosis of neuropathic pain, polypharmacy, and risk factors for opioid-related adverse events. Conclusions Concurrent opioid–gabapentinoid use among older Medicare beneficiaries with chronic noncancer pain and prescription opioids has increased significantly between 2011 and 2018. Future studies are warranted to investigate the impact of concurrent use on outcomes in older patients. Interventions that reduce inappropriate concurrent use may target older patients with identified characteristics.

Importance In May 2016, due to concerns of the risks outweighing the benefits, the US Food and Drug Administration (FDA) removed systemic quinolones’ indications for acute, uncomplicated urinary tract infection (uUTI), acute sinusitis (AS), and acute exacerbation of chronic obstructive pulmonary disease (AE-COPD). How the change influenced oral quinolone use is unknown. Objective To assess the association of oral quinolone safety warnings and indication restrictions with use. Design, Setting, and Participants This interrupted time series (January 2015-November 2018) analysis of the monthly prevalence of oral quinolone-treated infection episodes used a national sample of privately insured patients in outpatient care from the IBM MarketScan Database and included adults with antibiotic treatment of new uUTI, AS, or AE-COPD episodes, excluding patients with conditions that complicate infections, previous hospitalization, or other infections. Exposures Time before and after May 2016 when the FDA mandated label changes. Main Outcomes and Measures Monthly oral quinolone use prevalence by each condition before and after the label changes, overall and stratified by prescriber specialty. Results In January 2015, quinolone prevalence among antibiotic-treated uUTI episodes (n = 652 235) was 41.6% (95% CI, 40.6%-42.5%); AS (n = 1 742 248) was 8.3% (95% CI, 7.9%-8.6%), and AE-COPD (n = 22 817) was 31.9% (95% CI, 30.3%-33.4%). Before the label changes, trends in monthly quinolone prevalence were nearly flat. The month of the label changes we noted an immediate reduction for uUTI (−7.2%; 95% CI, −8.6% to −5.8%); and to a lesser extent for AS (−1.2%; 95% CI, −1.5% to −0.9%) and AE-COPD (−2.6%; 95% CI, −4.1% to −1.1%), and continued monthly declines thereafter. Falsification tests confirmed an immediate decrease after the label change of quinolone use for uUTI but more obscured effects for AS and AE-COPD. Treatment shifted mostly to first-line (eg, nitrofurantoin in uUTI, amoxicillin in AS, macrolides in AE-COPD) and other second-line agents but use of not recommended antibiotics also increased (eg, tetracyclines in AE-COPD). Prescribing preferences varied, but significant reductions were seen across all prescriber specialties. At the end of the study period, quinolone was used for 19.2% of treated uUTIs, 2.9% of treated AS, and 14.6% of treated AE-COPD episodes. Conclusions and Relevance Label changes and their announcements was associated with an immediate reduction in oral quinolone use for uUTI and to a lesser extent for AS and AE-COPD. Quinolones continued to contribute a considerable proportion of treatments for uUTI and AE-COPD episodes at the end of the study period, pointing to opportunities for further improvement.

Aims This study aimed to compare cardiovascular benefits associated with the use of GLP-1RA versus SGLT2i as add-on therapies to metformin among adults with type 2 diabetes (T2D) with and without a history of cardiovascular complications, using real-world data. Methods Using data from the IBM® MarketScan® Commercial Claims Databases, metformin users above 18 years with T2D who initiated GLP-1RA or SGLT2i were identified. The study endpoints include MI, stroke, CHF, and a cardiovascular composite of these three outcomes. Cox proportional hazard regression models were used to compare the risks of cardiovascular endpoints while controlling for demographics and clinical characteristics. Results We identified 13,006 adults with T2D who initiated a GLP-1RA or SGLT2i as an add-on therapy to metformin and followed for a maximum of 5 years. No difference in the endpoints was observed between users of two drugs who did not have established cardiovascular disease at baseline. However, significantly lower CHF risks (HR: 0.47, 95% CI: 0.28–0.79) and cardiovascular composite (HR: 0.67, 95% CI: 0.47–0.97) were observed in SGLT2i users compared with GLP-1RA users, among individuals with established cardiovascular diseases. Conclusions Results suggest greater cardioprotective benefit from SGLT2i compared to GLP-1RA when used for secondary prevention among adults with T2D.

Purpose There is an increased use in the (prescription) sequence symmetry analysis (PSSA); however, limited studies have incorporated a negative control, and no study has formally quantified and controlled for within-patient time-varying bias using a negative control. Our aim was to develop a process to incorporate the effect of negative controls into the main analysis of a PSSA. Methods Using a previously assessed dihydropyridine calcium channel blocker (DH-CCB) and loop diuretic PSSA, we directly compared the adjusted sequence ratios (aSRs) of DH-CCBs to each of the two negative control index drugs (levothyroxine and angiotensin converting enzyme [ACE] inhibitor/ angiotensin-2 receptor blocker [ARB]) using the ratio of the aSRs to estimate a relative aSR with a Z test. Further, we utilized the relative aSR in stratum-specific analyses and varying exposure windows. Results The relative aSR of DH-CCBs decreased from 1.87 to 1.72 (95% CI 1.66-1.78) using levothyroxine as a negative control index drug. ACE inhibitor/ARB negative control index drug resulted in an aSR of 1.27 thus reducing the relative aSR for DH-CBB from 1.84 to 1.45 (95% CI 1.41-1.49). When restricting the exposure window to 180 and 90 days, the relative aSR of DH-CCBs increased to 1.68 (95% CI 1.62-1.74) and 1.86 (95% CI 1.78-1.94), respectively, relative to the ACE inhibitor/ARB negative control index drug. Conclusion We illustrated how to incorporate negative control index drugs into a PSSA and generate relative aSRs. Stratum-specific assessments and varying the exposure windows while using negative control index drugs can yield more informative results.

Guidelines recommend palivizumab immunoprophylaxis for children with CLD in their second year of life if they continue to need treatment within 6 months before the RSV season. The utilization patterns of treatment (chronic corticosteroid therapy, diuretic therapy, or supplemental oxygen) are not well understood. We examined variations in CLD treatment for ten consecutive 20-day segments preceding RSV season onset. Among infants and children with CLD (n = 19,026), 35.2% received one or more medical treatments for CLD any time within 200 days before entering the second RSV season: 8.6%, 3.2%, and 29.7% received oxygen, diuretics, and corticosteroids, respectively. Utilization decreased as infants’ age increased with corticosteroids surpassing oxygen and diuretics. To avoid the capture of intermittent use of corticosteroids for acute infections, we found a minimum of 45 days cumulative exposure was necessary to determine chronic use.

Guidelines from the American Academy of Pediatrics recommend palivizumab immunoprophylaxis for children with CLD in their second year of life if they continue to need treatment within 6 months before the RSV season. The utilization patterns of treatment (chronic corticosteroid therapy, diuretic therapy, or supplemental oxygen) are not well understood. We examined variations in CLD treatment for ten consecutive 20-day segments preceding RSV season onset. Among infants and children with CLD (n = 19,026), 35.2% received one or more medical treatments for CLD any time within 200 days before entering the second RSV season: 8.6%, 3.2%, and 29.7% received supplemental oxygen, diuretics, and corticosteroids, respectively. Utilization decreased as infants' age increased with corticosteroids surpassing oxygen and diuretics. To avoid the capture of intermittent use of corticosteroids for acute infections, we found requiring a minimum of 45 days cumulative exposure was reasonable to determine chronic use. What is Known: • Guidelines from the American Academy of Pediatrics recommend palivizumab immunoprophylaxis for children with CLD in their second year of life if they continue to need treatment within 6 months before the RSV season. • The utilization patterns of treatment (chronic corticosteroid therapy, diuretic therapy, or supplemental oxygen) are not well understood. A definition of chronic corticosteroid therapy in this setting is not available. What is New: • Among infants and children with CLD of prematurity, 35.2% received one or more medical treatments for CLD any time within 200 days before entering the second RSV season: 8.6%, 3.2%, and 29.7% received oxygen, diuretics, and corticosteroids, respectively. Utilization decreased as infants' age increased with corticosteroids surpassing oxygen and diuretics. • A minimum of 45 days cumulative corticosteroid use within the past 90 days would accurately capture chronic use to fulfill criteria for immunoprophylaxis while limiting the inclusion of intermittent use of corticosteroids for acute infections.

Objectives Limited cohort studies have assessed the association between uncontrolled pain and risk for behavioral and psychological symptoms of dementia (BPSDs). We conducted a longitudinal cohort study to examine whether associations exist between uncontrolled pain and risk for 2 common BPSDs—depression and behavioral symptoms—among long-term care (LTC) residents with Alzheimer disease and related dementia (ADRD). Design This retrospective cohort study analyzed quarterly data from the 5% Medicare sample linked to Minimum Data Set (MDS) 3.0 between January 1, 2011, and December 31, 2015. Setting and Participants LTC residents aged 50 years or older with ADRD who had chronic pain and at least 2 quarterly MDS 3.0 assessments. Methods LTC residents were followed up quarterly from first observed quarterly MDS 3.0 until first outcome event or last observed quarterly MDS 3.0. Uncontrolled pain was defined as numerical rating scale >4, verbal descriptor scale of moderate or severe pain, or ≥1 pain indicators on the Checklist of Nonverbal Pain Indicators. Depression was defined as ≥10 on the Patient Health Questionnaire 9; behavioral symptoms were defined as the presence of psychotic (delusions or hallucinations) or disruptive behaviors (rejection of care, or physical, verbal, or other aggressive behaviors). Generalized linear models (GLMs) with marginal structural modeling (MSM) stabilized weights were used to examine uncontrolled pain and outcome risk. Results The incidence rate of depression and behavioral symptoms during follow-up was 9.4 and 23.1 per 100 resident-years, respectively. Results from the MSM-GLMs showed that LTC residents with uncontrolled pain had a higher risk than those with controlled pain for developing depression [hazard ratio 1.67, 95% confidence interval (CI) 1.54–1.81] and behavioral symptoms (hazard ratio 1.28, 95% CI 1.19–1.37). Conclusions and Implications Uncontrolled pain was associated with elevated risk for depressive and behavioral symptoms in dementia, underscoring the importance of pain assessment and control among LTC residents with ADRD.

Background Despite the rising number of older adults with medical encounters for opioid misuse, dependence, and poisoning, little is known about patterns of prescription opioid dose and their association with risk for opioid-related adverse events (ORAEs) in older patients. The study aims to compare trajectories of prescribed opioid doses in 6 months preceding an incident ORAE for cases and a matched control group of older patients with chronic noncancer pain (CNCP). Methods and findings We conducted a nested case–control study within a cohort of older (≥65 years) patients diagnosed with CNCP who were new users of prescription opioids, assembled using a 5% national random sample of Medicare beneficiaries from 2011 to 2018. From the cohort with a mean follow-up of 2.3 years, we identified 3,103 incident ORAE cases with ≥1 opioid prescription in 6 months preceding the event, and 3,103 controls matched on sex, age, and time since opioid initiation. Key exposure was trajectories of prescribed opioid morphine milligram equivalent (MME) daily dosage over 6 months before the incident ORAE or matched controls. Among the cases and controls, 2,192 (70.6%) were women, and the mean (SD) age was 77.1 (7.1) years. Four prescribed opioid trajectories before the incident ORAE diagnosis or matched date emerged: gradual dose discontinuation (from ≤3 to 0 daily MME, 1,456 [23.5%]), gradual dose increase (from 0 to >3 daily MME, 1,878 [30.3%]), consistent low dose (between 3 and 5 daily MME, 1,510 [24.3%]), and consistent moderate dose (>20 daily MME, 1,362 [22.0%]). Few older patients (P < 0.001), consistent low dose (aOR = 3.8; 95% CI 3.2 to 4.6; P < 0.001), and consistent moderate dose (aOR = 8.5; 95% CI 6.8 to 10.7; P < 0.001) had a higher risk of ORAE, after adjustment for covariates. Our main findings remained robust in the sensitivity analysis using a cohort study with inverse probability of treatment weighting analyses. Major limitations include the limited generalizability of the study findings and lack of information on illicit opioid use, which prevents understanding the clinical dose threshold level that increases the risk of ORAE in older adults. Conclusions In this sample of older patients who are Medicare beneficiaries, 4 prescription opioid dose trajectories were identified, with most prescribed doses below 90 daily MME within 6 months before ORAE or matched date. An increased risk for ORAE was observed among older patients with a gradual increase in dose or among those with a consistent low-to-moderate dose of prescribed opioids when compared to patients with opioid dose discontinuation. Whether older patients are susceptible to low opioid doses warrants further investigations.

Introduction Several studies have evaluated the effects of changes in isotretinoin risk mitigation programs, but little is known about actual fetal exposure rates in the context of other acne treatments. Objective Our objective was to quantify fetal exposure rates during the use of common acne treatments. Methods Employing the insurance claims data of > 100,000 acne treatment users between 2006 and 2015, we created three user cohorts: (1) isotretinoin (strong teratogen/mandatory risk mitigation program), (2) doxycycline/minocycline (mild teratogen, label warning), and (3) topical clindamycin/erythromycin (no fetal risk). Fetal exposure rates overall and stratified by age were compared after adjusting for potential confounders. Results Contraceptive use during acne treatment was < 50% in isotretinoin users and < 30% in the other study groups. Long-acting contraceptives contributed to 1% of all contraceptives used, with 90% being oral contraceptives. Isotretinoin users had 19.2 (95% confidence interval [CI] 20.3 to 17.9) fewer fetal exposures per 1000 person-years of use compared with doxycycline/minocycline users, which in turn had 28.8 (95% CI 31.2 to 26.3) fewer pregnancies compared with clindamycin/erythromycin users. Stratification by age showed attenuated differences in fetal exposure among acne treatment groups for teenagers. Conclusion Fetal exposure to acne treatments varied according to levels of teratogenicity, with reduced rates among users of isotretinoin and to a lesser extent doxycycline/minocycline. Teenagers had low pregnancy rates but less pronounced differences in fetal exposure across acne treatments. Supplementary Information The online version contains supplementary material available at 10.1007/s40264-021-01053-3.