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Introduction: Medication nonadherence is common in systemic lupus erythematosus (SLE) and associated with morbidity and mortality. We explored the reliability of pharmacy data within the electronic medical record (EMR) to examine factors associated with nonadherence to SLE medications. Methods: We included patients with SLE who were prescribed ≥1 SLE medication for ≥90 days. We compared two datasets of pharmacy fill data, one within the EMR and another from the vendor who obtained this information from pharmacies and prescription benefit managers. Adherence was defined by medication possession ratio (MPR) ≥80%. In addition to MPR for each SLE medication, we evaluated the weighted-average MPR and the proportion of patients adherent to ≥1 SLE medication and to all SLE medications. We used logistic regression to examine factors associated with adherence. Results: Among 181 patients (median age 36, 96% female, 58% Black), 98% were prescribed hydroxychloroquine, 34% azathioprine, 33% mycophenolate, 18% methotrexate, and 7% belimumab. Among 1276 pharmacy records, 74% overlapped between linked EMR-pharmacy data and data obtained directly from the vendor. Only 9% were available from the vendor but not through linked EMR-pharmacy data. The weighted-average MPR was 57%; 45% were adherent to hydroxychloroquine, 46% to ≥1 SLE medication, and 32% to all SLE medications. Older age was associated with adherence in univariable and multivariable analyses. Discussion: Our study showed that obtaining linked EMR-pharmacy data is feasible with minimal missing data and can be leveraged in future adherence research. Younger patients were more likely to be nonadherent and may benefit from targeted intervention. [ABSTRACT FROM AUTHOR]

Objectives: To identify the predictive factors of first hospitalization and associated variables to the main causes of hospitalizations in lupus patients from a Latin American cohort. Methods: The first hospitalization after entry into the cohort during these patients' follow-up due to either lupus disease activity and/or infection was examined. Clinical and therapeutic variables were those occurring prior to the first hospitalization. Descriptive statistical tests, multivariable logistic, and Cox regression models were performed. Results: 1341 individuals were included in this analysis; 1200 (89.5%) were women. Their median and interquartile range (IQR) age at diagnosis were 27 (20–37) years and their median and IQR follow up time were 27.5 (4.7–62.2) months. A total of 456 (34.0%) patients were hospitalized; 344 (75.4%), 85 (18.6%) and 27 (5.9%) for disease activity, infections, or both, respectively. The predictors of the first hospitalization regardless of its cause were: medium (HR 2.03(1.27–3.24); p = 0.0028) and low (HR 2.42(1.55–3.79); p < 0.0001) socioeconomic status, serosal (HR 1.32(1.07–1.62); p = 0.0074) and renal (HR 1.50(1.23–1.82); p < 0.0001) involvement. Antimalarial (AM) use (HR 0.61(0.50–0.74); p < 0.0001) and achieving remission (HR 0.80(0.65–0.97); p = 0.0300) were negative predictors. Conclusions: The first hospitalization was associated with worse socioeconomic status and serosal and renal involvement. Conversely, AM use and achieving remission were associated with a lower risk of hospitalizations. [ABSTRACT FROM AUTHOR]

Aim: The TRANSFORM‐HF trial demonstrated no significant outcome differences between torsemide and furosemide following hospitalization for heart failure (HF), but may have been impacted by non‐adherence to the randomized diuretic. The current study sought to determine the treatment effect of torsemide versus furosemide using an on‐treatment analysis inclusive of all randomized patients except those confirmed non‐adherent to study diuretic. Methods and results: TRANSFORM‐HF was an open‐label, pragmatic randomized trial of 2859 patients hospitalized for HF from June 2018 through March 2022. Patients were randomized to a loop diuretic strategy of torsemide versus furosemide with investigator‐selected dosage. This post‐hoc on‐treatment analysis included all patients alive with either known or unknown diuretic status, and excluded patients confirmed to be non‐adherent to study diuretic. This modified on‐treatment definition was applied separately at time of hospital discharge and 30‐day follow‐up. All‐cause mortality and hospitalization outcomes were assessed over 12 months. Overall, 2570 (89.9%) and 2374 (83.0%) patients were included in on‐treatment analyses at discharge and 30‐day follow‐up, respectively. There was no significant difference in all‐cause mortality between torsemide and furosemide in patients on‐treatment at discharge (17.5% vs. 17.8%; hazard ratio [HR] 1.01 [95% confidence interval [CI] 0.83–1.22], p = 0.96) and at 30‐day follow‐up (14.5% vs. 15.0%; HR 1.02 [95% CI 0.81–1.27], p = 0.90). All‐cause mortality or all‐cause hospitalization was similar between torsemide and furosemide in patients who were on‐treatment at discharge (58.3% vs. 61.3%; HR 0.92 [95% CI 0.82–1.03]) and 30‐day follow‐up (60.9% vs. 64.4%; HR 0.93 [95% CI 0.82–1.05]). In patients who were on‐treatment at 30‐day follow‐up, there were 677 total hospitalizations in the torsemide group and 686 total hospitalizations in the furosemide group (rate ratio 0.99 [95% CI 0.86–1.14], p = 0.87). Conclusions: In TRANSFORM‐HF, a post‐hoc on‐treatment analysis did not meaningfully differ from the original trial results. Among those deemed compliant with the assigned diuretic, there remained no significant difference in mortality or hospitalization after HF hospitalization with a strategy of torsemide versus furosemide. Clinical Trail Registration: ClinicalTrials.gov Identifier: NCT03296813. [ABSTRACT FROM AUTHOR]

Aim: Among patients discharged after hospitalization for heart failure (HF), a strategy of torsemide versus furosemide showed no difference in all‐cause mortality or hospitalization. Clinicians have traditionally favoured torsemide in the setting of kidney dysfunction due to better oral bioavailability and longer half‐life, but direct supportive evidence is lacking. Methods and results: The TRANSFORM‐HF trial randomized patients hospitalized for HF to a long‐term strategy of torsemide versus furosemide, and enrolled patients across the spectrum of renal function (without dialysis). In this post‐hoc analysis, baseline renal function during the index hospitalization was assessed as categories of estimated glomerular filtration rate (eGFR; <30, 30–<60, ≥60 ml/min/1.73 m2). The interaction between baseline renal function and treatment effect of torsemide versus furosemide was assessed with respect to mortality and hospitalization outcomes, and the change in Kansas City Cardiomyopathy Questionnaire clinical summary score (KCCQ‐CSS). Of 2859 patients randomized, 336 (11.8%) had eGFR <30 ml/min/1.73 m2, 1138 (39.8%) had eGFR 30–<60 ml/min/1.73 m2, and 1385 (48.4%) had eGFR ≥60 ml/min/1.73 m2. Baseline eGFR did not modify treatment effects of torsemide versus furosemide on all adverse clinical outcomes including individual components or composites of all‐cause mortality and all‐cause (re)‐hospitalizations, both when assessing eGFR categorically or continuously (p‐value for interaction all >0.108). Similarly, no treatment effect modification by eGFR was found for the change in KCCQ‐CSS (p‐value for interaction all >0.052) when assessing eGFR categorically or continuously. Conclusion: Among patients discharged after hospitalization for HF, there was no significant difference in clinical and patient‐reported outcomes between torsemide and furosemide, irrespective of renal function. [ABSTRACT FROM AUTHOR]

Objective: To compare 12-month post-treatment health-related quality of life (HR-QoL) and symptom severity (SS) changes among patients with symptomatic uterine fibroids (SUF) not seeking fertility and undergo a hysterectomy, abdominal myomectomy (AM), or uterine artery embolization (UAE). Materials and Methods: The Comparing Options for Management: Patient-Centered Results for Uterine Fibroids (COMPARE-UF) Registry is a multi-institutional prospective observational cohort study of patients treated for SUF. A subset of 1465 women 31–45 years of age, who underwent either hysterectomy (n = 741), AM (n = 446), or UAE (n = 155) were included in this analysis. Demographics, fibroid history, and symptoms were obtained by baseline questionnaires and at 1 year post-treatment. Results were stratified by all treatments and propensity score weighting to adjust for differences in baseline characteristics. Results: Women undergoing UAE reported the lowest baseline HR-QoL and highest SS scores (mean = 40.6 [standard deviation (SD) = 23.8]; 62.3 [SD = 24.2]) followed by hysterectomy (44.3 [24.3]; 59.8 [SD = 24.1]). At 12 months, women who underwent a hysterectomy experienced the largest change in both HR-QoL (48.7 [26.2]) and SS (51.9 [25.6]) followed by other uterine-sparing treatments. Propensity score weighting revealed all treatments produced substantial improvement, with hysterectomy patients reporting the highest HR-QoL score (92.0 [17.8]) compared with myomectomy (86.7 [17.2]) and UAE (82.6 [21.5]) (p < 0.0001). Similarly, hysterectomy patients reported the lowest SS scores (8.2 [15.1]) compared with myomectomy (16.5 [15.1]) and UAE (19.6 [17.5]) (p < 0.0001). Conclusion: All procedures showed improvement in HR-QoL and reduction in SS score at 12 months, hysterectomy showing maximum improvement. Of importance, at 12 months, patients who underwent either a myomectomy or UAE reported comparable symptom relief and HR-QoL. Clinicaltrials.Gov Identifier: NCT02260752. [ABSTRACT FROM AUTHOR]

Key Points: Question: How does performance of existing and newly developed machine learning stroke–specific algorithms compare with that of the atherosclerotic cardiovascular disease–focused pooled cohort equations for predicting new-onset stroke across Black and White race, sex, and age subgroups? Findings: In this retrospective study of predictive accuracy that included 62 482 participants, existing stroke-specific risk prediction models and novel machine learning techniques did not significantly improve discriminative accuracy for new-onset stroke compared with the pooled cohort equations. All algorithms exhibited worse discrimination in Black individuals than in White individuals. Calibration was most accurate using the Reasons for Geographical and Racial Differences in Stroke (REGARDS) model based on self-reported risk factors. Meaning: Results indicate the need to expand the pool of risk factors and improve modeling techniques to address observed racial disparities and improve model performance for predicting new-onset stroke. Importance: Stroke is the fifth-highest cause of death in the US and a leading cause of serious long-term disability with particularly high risk in Black individuals. Quality risk prediction algorithms, free of bias, are key for comprehensive prevention strategies. Objective: To compare the performance of stroke-specific algorithms with pooled cohort equations developed for atherosclerotic cardiovascular disease for the prediction of new-onset stroke across different subgroups (race, sex, and age) and to determine the added value of novel machine learning techniques. Design, Setting, and Participants: Retrospective cohort study on combined and harmonized data from Black and White participants of the Framingham Offspring, Atherosclerosis Risk in Communities (ARIC), Multi-Ethnic Study for Atherosclerosis (MESA), and Reasons for Geographical and Racial Differences in Stroke (REGARDS) studies (1983-2019) conducted in the US. The 62 482 participants included at baseline were at least 45 years of age and free of stroke or transient ischemic attack. Exposures: Published stroke-specific algorithms from Framingham and REGARDS (based on self-reported risk factors) as well as pooled cohort equations for atherosclerotic cardiovascular disease plus 2 newly developed machine learning algorithms. Main Outcomes and Measures: Models were designed to estimate the 10-year risk of new-onset stroke (ischemic or hemorrhagic). Discrimination concordance index (C index) and calibration ratios of expected vs observed event rates were assessed at 10 years. Analyses were conducted by race, sex, and age groups. Results: The combined study sample included 62 482 participants (median age, 61 years, 54% women, and 29% Black individuals). Discrimination C indexes were not significantly different for the 2 stroke-specific models (Framingham stroke, 0.72; 95% CI, 0.72-073; REGARDS self-report, 0.73; 95% CI, 0.72-0.74) vs the pooled cohort equations (0.72; 95% CI, 0.71-0.73): differences 0.01 or less (P values >.05) in the combined sample. Significant differences in discrimination were observed by race: the C indexes were 0.76 for all 3 models in White vs 0.69 in Black women (all P values <.001) and between 0.71 and 0.72 in White men and between 0.64 and 0.66 in Black men (all P values ≤.001). When stratified by age, model discrimination was better for younger (<60 years) vs older (≥60 years) adults for both Black and White individuals. The ratios of observed to expected 10-year stroke rates were closest to 1 for the REGARDS self-report model (1.05; 95% CI, 1.00-1.09) and indicated risk overestimation for Framingham stroke (0.86; 95% CI, 0.82-0.89) and pooled cohort equations (0.74; 95% CI, 0.71-0.77). Performance did not significantly improve when novel machine learning algorithms were applied. Conclusions and Relevance: In this analysis of Black and White individuals without stroke or transient ischemic attack among 4 US cohorts, existing stroke–specific risk prediction models and novel machine learning techniques did not significantly improve discriminative accuracy for new-onset stroke compared with the pooled cohort equations, and the REGARDS self-report model had the best calibration. All algorithms exhibited worse discrimination in Black individuals than in White individuals, indicating the need to expand the pool of risk factors and improve modeling techniques to address observed racial disparities and improve model performance. This retrospective cohort study compares stroke-specific algorithms with pooled cohort equations developed for atherosclerotic cardiovascular disease for the prediction of new-onset stroke across different subgroups (race, sex, and age) and the added value of novel machine learning techniques. [ABSTRACT FROM AUTHOR]

Aims Patients with heart failure (HF) have not been shown to benefit from statins. In a post hoc analysis, we evaluated outcomes in ODYSSEY OUTCOMES in patients with vs. without a history of HF randomized to the proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor alirocumab or placebo. Methods and results Among 18 924 patients with recent acute coronary syndrome (ACS) receiving intensive or maximum-tolerated statin treatment, the primary outcome of major adverse cardiovascular events (MACE) was compared in patients with or without a history of HF. The pre-specified secondary outcome of hospitalization for HF was also analysed. Overall, 2815 (14.9%) patients had a history of HF. Alirocumab reduced low-density lipoprotein cholesterol and lipoprotein(a) similarly in patients with or without HF. Overall, alirocumab reduced MACE compared with placebo [hazard ratio (HR): 0.85; 95% confidence interval (CI): 0.78–0.93; P = 0.0001]. This effect was observed among patients without a history of HF (HR: 0.78; 95% CI: 0.70–0.86; P < 0.0001), but not in those with a history of HF (HR: 1.17; 95% CI: 0.97–1.40; P = 0.10) (P interaction = 0.0001). Alirocumab did not reduce hospitalization for HF, overall or in patients with or without prior HF. Conclusion Alirocumab reduced MACE in patients without a history of HF but not in patients with a history of HF. Alirocumab did not reduce hospitalizations for HF in either group. Patients with a history of HF are a high-risk group that does not appear to benefit from PCSK9 inhibition after ACS. [ABSTRACT FROM AUTHOR]

Background: Quality of life (QOL) and psychological health has been reported to be decreased among women with gynecological conditions such as uterine fibroids (UFs). Materials and Methods: Women enrolled in the Comparing Options for Management: PAtient-centered REsults for Uterine Fibroids (COMPARE-UF) registry, receiving procedural therapy for symptomatic UFs, were eligible for this analysis if they completed a series of health-related QOL surveys administered at three time points (baseline, 6–12 weeks postprocedure, and 1 year postprocedure; n = 1486). Ethical approval for this study was obtained at each recruiting site and the coordinating center (NCT02260752, clinicaltrials.gov). Results: More than 26% (n = 393) of women reported moderate anxiety/depression on the baseline anxiety/depression domain of the Euro-QOL 5-dimension instrument. At both the 6–12 weeks and 1-year postprocedural follow-up, there was significant improvement in the UF QOL symptom severity score (p < 0.001, p < 0.001), the total UF symptom QOL score (p < 0.001, p < 0.001), and the Euro-QOL 5-dimension visual analog scale (p < 0.001, p = 0.004) compared with the preprocedural baseline scores. The reporting of anxiety/depression decreased by 66.4% among women who were at baseline, whereas 5.6% of women previously reporting no anxiety/depression reported anxiety/depression at the 1-year follow-up. Conclusion: UF symptoms were more severe among women reporting anxiety/depression at baseline. At the 1-year follow-up, health-related QOL scores improved among all women and the prevalence of anxiety/depression decreased in most, but not all women, whereas severity of anxiety/depression worsened in a small percentage of women (5.6%). Overall, these results suggest that UF treatment improves symptoms of anxiety/depression associated with symptomatic UFs. [ABSTRACT FROM AUTHOR]

A common goal in comparative effectiveness research is to estimate treatment effects on prespecified subpopulations of patients. Though widely used in medical research, causal inference methods for such subgroup analysis (SGA) remain underdeveloped, particularly in observational studies. In this article, we develop a suite of analytical methods and visualization tools for causal SGA. First, we introduce the estimand of subgroup weighted average treatment effect and provide the corresponding propensity score weighting estimator. We show that balancing covariates within a subgroup bounds the bias of the estimator of subgroup causal effects. Second, we propose to use the overlap weighting (OW) method to achieve exact balance within subgroups. We further propose a method that combines OW and LASSO, to balance the bias-variance tradeoff in SGA. Finally, we design a new diagnostic graph-the Connect-S plot-for visualizing the subgroup covariate balance. Extensive simulation studies are presented to compare the proposed method with several existing methods. We apply the proposed methods to the patient-centered results for uterine fibroids (COMPARE-UF) registry data to evaluate alternative management options for uterine fibroids for relief of symptoms and quality of life. [ABSTRACT FROM AUTHOR]

Introduction: Factors related to presentation of neuropsychiatric (NP) SLE manifestations, early in the course of the disease, and during follow up have not been clearly established. Purpose: To identify disease and non-disease related factors associated with NP manifestations in early SLE. Methods: We included 1193 patients from the GLADEL inception cohort free of NP involvement at cohort entry. We evaluated the association of demographic, clinical and laboratory data with NP involvement during follow-up. Statistical methods: Independent factors associated with NP involvement were identified using a multivariable Cox regression model. Results: Factors independently associated with NP manifestations were: mestizo ethnicity (HR 1.701, 95% CI 1.282–2.258, p = 0.0002), myalgias/myositis (HR 1.832, 95% CI 1.335–2.515, p = 0.0002), pneumonitis (HR 2.476, 95% CI 1.085–5.648, p = 0.0312), shrinking lung (HR 2.428, 95% CI 1.074–5.493, p = 0.0331) and hemolytic anemia (HR 1.629, 95% CI 1.130–2.347, p = 0.0089). Longer disease duration at cohort entry (13 to 24 months) was associated with a lower risk of developing NP manifestations (HR 0.642, 95% CI 0.441–0.934, p = 0.0206). Conclusions: Patients with myalgias/myositis, pneumonitis, shrinking lung and hemolytic anemia are at higher risk of NP involvement, whereas longer disease duration at cohort entry is associated with a lower risk of developing NP involvement. [ABSTRACT FROM AUTHOR]

Aims: The ARISTOTLE (Apixaban for Reduction in Stroke and Other Thromboembolic Events in Atrial Fibrillation) trial randomised patients with atrial fibrillation at risk of stroke to apixaban or warfarin. We sought to describe patients from ARISTOTLE who prematurely permanently discontinued study drug.Methods/results: We performed a posthoc analysis of patients from ARISTOTLE who prematurely permanently discontinued study drug during the study or follow-up period. Discontinuation rates and reasons for discontinuation were described. Death, thromboembolism (stroke, transient ischaemic attack, systemic embolism), myocardial infarction and major bleeding rates were stratified by ≤30 days or >30 days after discontinuation. A total of 4063/18 140 (22.4%) patients discontinued study drug at a median of 7.3 (2.2, 15.2) months after randomisation. Patients with discontinuation were more likely to be female and had a higher prevalence of cardiovascular disease, diabetes, renal impairment and anaemia. Premature permanent discontinuation was more common in those randomised to warfarin than apixaban (23.4% vs 21.4%; p=0.002). The most common reasons for discontinuation were patient request (46.1%) and adverse event (34.9%), with no significant difference between treatment groups. The cumulative incidence of clinical events ≤30 days after premature permanent discontinuation for all-cause death, thromboembolism, myocardial infarction, and major bleeding was 5.8%, 2.6%, 0.9%, and 3.0%, respectively. No significant difference was seen between treatment groups with respect to clinical outcomes after discontinuation.Conclusion: Premature permanent discontinuation of study drug in ARISTOTLE was common, less frequent in patients receiving apixaban than warfarin and was followed by high 30-day rates of death, thromboembolism and major bleeding. Initiatives are needed to reduce discontinuation of oral anticoagulation. [ABSTRACT FROM AUTHOR]

Introduction: After more than 20 years of sustained work, the Latin American Group for the Study of Lupus (GLADEL) has made a significant number of contributions to the field of lupus, not only in the differential role that race/ethnicity plays in its course and outcome but also in several other studies including the beneficial effects of using antimalarials in lupus patients and the development of consensus guidelines for the treatment of lupus in our region. Methods: A new generation of "Lupus Investigators" in more than 40 centers throughout Latin America has been constituted in order to continue the legacy of the investigators of the original cohort and to launch a novel study of serum and urinary biomarkers in patients with systemic lupus erythematosus. Results: So far, we have recruited 807 patients and 631 controls from 42 Latin-American centers including 339 patients with SLE without renal involvement, 202 patients with SLE with prevalent but inactive renal disease, 176 patients with prevalent and active renal disease and 90 patients with incident lupus nephritis. Conclusions: The different methodological aspects of the GLADEL 2.0 cohort are discussed in this manuscript, including the challenges and difficulties of conducting such an ambitious project. [ABSTRACT FROM AUTHOR]

Introduction: After more than 20 years of sustained work, the Latin American Group for the Study of Lupus (GLADEL) has made a significant number of contributions to the field of lupus, not only in the differential role that race/ethnicity plays in its course and outcome but also in several other studies including the beneficial effects of using antimalarials in lupus patients and the development of consensus guidelines for the treatment of lupus in our region. Methods: A new generation of "Lupus Investigators" in more than 40 centers throughout Latin America has been constituted in order to continue the legacy of the investigators of the original cohort and to launch a novel study of serum and urinary biomarkers in patients with systemic lupus erythematosus. Results: So far, we have recruited 807 patients and 631 controls from 42 Latin-American centers including 339 patients with SLE without renal involvement, 202 patients with SLE with prevalent but inactive renal disease, 176 patients with prevalent and active renal disease and 90 patients with incident lupus nephritis. Conclusions: The different methodological aspects of the GLADEL 2.0 cohort are discussed in this manuscript, including the challenges and difficulties of conducting such an ambitious project. [ABSTRACT FROM AUTHOR]

Observational studies of treatment effects attempt to mimic a randomized experiment by balancing the covariate distribution in treated and control groups, thus removing biases related to measured confounders. Methods such as weighting, matching, and stratification, with or without a propensity score, are common in cross-sectional data. When treatments are initiated over longitudinal follow-up, a target pragmatic trial can be emulated using appropriate matching methods. The ideal experiment of interest is simple; patients would be enrolled sequentially, randomized to one or more treatments and followed subsequently. This tutorial defines a class of longitudinal matching methods that emulate this experiment and provides a review of existing variations, with guidance regarding study design, execution, and analysis. These principles are illustrated in application to the study of statins on cardiovascular outcomes in the Framingham Offspring cohort. We identify avenues for future research and highlight the relevance of this methodology to high-quality comparative effectiveness studies in the era of big data. [ABSTRACT FROM AUTHOR]

Aims Lowering low-density lipoprotein cholesterol (LDL-C) reduces cardiovascular risk irrespective of age, but the evidence is less strong for older patients. Methods and results This prespecified analysis from ODYSSEY OUTCOMES compared the effect of alirocumab vs. placebo in 18 924 patients with recent acute coronary syndrome (ACS) according to age. We examined the effect of assigned treatment on occurrence of the primary study outcome, a composite of coronary heart disease death, myocardial infarction, ischaemic stroke, or unstable angina requiring hospitalization [major adverse cardiovascular event (MACE)] and all-cause death. Relative risk reductions were consistent for patients ≥65 vs. <65 years for MACE [hazard ratio (HR) 0.78, 95% confidence interval (CI) 0.68–0.91 vs. 0.89, 0.80–1.00; P interaction = 0.19] and all-cause death [HR 0.77, 0.62–0.95 vs. 0.94, 0.77–1.15; P interaction = 0.46], and consistent for MACE when dichotomizing at age 75 years (HR 0.85, 0.64–1.13 in ≥75 vs. 0.85, 0.78–0.93 in <75, P interaction = 0.19). When considering age as a continuous variable in regression models, advancing age increased risk of MACE, as well as the absolute reduction in MACE with alirocumab, with numbers-needed-to-treat for MACE at 3 years of 43 (25–186) at age 45 years, 26 (15–97) at age 75 years, and 12 (6–81) for those at age 85 years. Although adverse events were more frequent in older patients, there were no differences between alirocumab and placebo. Conclusion In patients with recent ACS, alirocumab improves outcomes irrespective of age. Increasing absolute benefit but not harm with advancing age suggests that LDL-C lowering is an important preventive intervention for older patients after ACS. Open in new tab Download slide Open in new tab Download slide [ABSTRACT FROM AUTHOR]

Background: The ACC/AHA guidelines for primary prevention rely on the Pooled Cohort Risk Equations (PCE) risk estimates of atherosclerotic cardiovascular disease (ASCVD) to guide treatment decisions. In light of the PCE being derived in younger populations, their accuracy in older adults is uncertain.Objective: To evaluate the predictive accuracy and calibration of the PCE in older individuals.Design and Setting: We estimated CVD predicted and observed risk among individuals from four large prospective cohort studies: Cardiovascular Health Study, Multiethnic Study of Atherosclerosis, Framingham Original, and Framingham Offspring.Participants: 12,527 overall individuals without ASCVD, including 9864 individuals aged 40-74 years and 2663 aged ≥75 years.Measurements: We examined the operating characteristics of the PCE to estimate 5-year risk of stroke, MI, and CHD death overall and by age and sex strata. The associations between individual components of the PCE and cardiovascular events by age group (≥75 vs 40-74 years) were also evaluated.Results: The PCE had low discrimination for 5-year ASCVD risk in older (≥75 years) (c-statistic = 0.62, 95% CI 0.60-0.65) vs. younger (40-74 years) adults (c-statistic = 0.75, 95% CI 0.73-0.76). Calibration of the PCE was suboptimal in both older and younger adults, overestimating risk in the highest risk groups. Performance of the PCE in older adults was similarly poor when stratified by sex and age ≥ 80 years.Limitations: Since the PCE were derived from similar cohorts, though using different age groups and exams, this analysis likely overestimates the performance of the PCE.Conclusion: The performance of the PCE for ASCVD risk estimation in older adults is suboptimal; new models to effectively risk-stratify older adults are needed. [ABSTRACT FROM AUTHOR]

BACKGROUND/OBJECTIVES: Elevated low‐density lipoprotein cholesterol (LDL‐C) in early adulthood is associated with increased risk of atherosclerotic cardiovascular disease (ASCVD). The strength of the association between LDL‐C and ASCVD among older adults, however, is less understood. DESIGN: We examined individual‐level cohort data from the National Institutes of Health Pooled Cohorts (Framingham Study, Framingham Offspring Study, Multi‐Ethnic Study of Atherosclerosis, and Cardiovascular Health Study), which prospectively measured CVD risk factors and incident disease. SETTING: Prospective cohort study. PARTICIPANTS: Adults, aged 75 years or older, free of ASCVD. MEASUREMENTS: We evaluated the associations between LDL‐C and incident ASCVD (stroke, myocardial infarction, and cardiovascular death) in unadjusted analysis and in multivariable‐adjusted Cox proportional hazards models. We assessed 5‐year Kaplan‐Meier ASCVD event rates in patients with and without hyperlipidemia (LDL‐C ≥130 mg/dL or on lipid‐lowering medications), stratified by the number of other risk factors, including smoking, diabetes, and hypertension. RESULTS: We included 2667 adults, aged 75 years or older (59% female), free of ASCVD; median age was 78 years, with median LDL‐C of 117 mg/dL. In both unadjusted and adjusted analyses, there was no association between LDL‐C and ASCVD (adjusted hazard ratio = 1.022; 95% confidence interval = 0.998‐1.046; P =.07). Among adults without other risk factors (free of smoking, diabetes, and hypertension), event rates were similar between those with and without hyperlipidemia (Kaplan‐Meier rates = 5.8% and 7.0%, respectively). Among adults with one or two or more other risk factors, the presence of hyperlipidemia was also not associated with 5‐year CVD event rates (Kaplan‐Meier rates = 12.8% vs 15.0% [P =.44] for one other risk factor and 21.9% vs 24.0% [P =.59] for two or more other risk factors). CONCLUSION: Among a well‐characterized cohort, LDL‐C was not associated with CVD risk among adults aged 75 years or older, even in the presence of other risk factors. J Am Geriatr Soc 67:2560–2567, 2019 [ABSTRACT FROM AUTHOR]

Objective: To compare predictive analytic approaches to characterize medication nonadherence and determine under which circumstances each method may be best applied.Data Sources/study Setting: Medicare Parts A, B, and D claims from 2007 to 2013.Study Design: We evaluated three statistical techniques to predict statin adherence (proportion of days covered [PDC ≥ 80 percent]) in the year following discharge: standard logistic regression with backward selection of covariates, least absolute shrinkage and selection operator (LASSO), and random forest. We used the C-index to assess model discrimination and decile plots comparing predicted values to observed event rates to evaluate model performance.Data Extraction: We identified 11 969 beneficiaries with an acute myocardial infarction (MI)-related admission from 2007 to 2012, who filled a statin prescription at, or shortly after, discharge.Principal Findings: In all models, prior statin use was the most important predictor of future adherence (OR = 3.65, 95% CI: 3.34-3.98; OR = 3.55). Although the LASSO regression model selected nearly 90 percent of all candidate predictors, all three analytic approaches had moderate discrimination (C-index ranging from 0.664 to 0.673).Conclusions: Although none of the models emerged as clearly superior, predictive analytics could proactively determine which patients are at risk of nonadherence, thus allowing for timely engagement in adherence-improving interventions. [ABSTRACT FROM AUTHOR]

Diabetes mellitus (DM) and abnormal glucose metabolism are associated with cardiovascular (CV) disease. We investigated the prevalence and prognostic importance of dysglycaemia in patients with acute coronary syndromes (ACS) in the PLATelet inhibition and patient Outcomes (PLATO) trial. Diabetes was defined as known diabetes or HbA1c ≥ 6.5% or non-fasting glucose ≥ 11.1 mmol/L on admission, prediabetes as HbA1c ≥ 5.7% but < 6.5%, and no diabetes as HbA1c < 5.7%. The primary endpoint was the composite of CV death, spontaneous myocardial infarction type 1 (sMI) or stroke at 12 months. Multivariable Cox regression models, adjusting for baseline characteristics, and biomarkers NT-proBNP and troponin I, were used to explore the association between glycaemia and outcome. On admission, 16,007 (86.1%) patients had HbA1c and/or glucose levels available and were subdivided into DM 38.5% (6160) (1501 patients had no previous DM diagnosis), prediabetes 38.8% (6210), and no DM 22.7% (3637). Kaplan Meier event rates at 12 months for CV death, sMI or stroke per subgroups were 14.5% (832), 9.0% (522), and 8.5% (293), respectively with multivariable adjusted HRs, versus no diabetes, for diabetes: 1.71 (1.50–1.95) and for prediabetes 1.03 (0.90–1.19). Corresponding event rates for CV death were 6.9% (391), 3.4% (195) and 3.0% (102), respectively, with adjusted HRs for patients with DM of: 1.92 (1.42–2.60) and for prediabetes 1.02 (0.79–1.32). Abnormal glucose metabolism is common in ACS patients, but only patients with definite DM have an increased CV risk, indicating that prediabetes is not immediately associated with worse CV outcomes. [ABSTRACT FROM AUTHOR]

Objective: To determine the predictors of remission and low disease activity state (LDAS) in patients with systemic lupus erythematosus (SLE).Methods: Three disease activity states were defined: Remission = SLE Disease Activity Index (SLEDAI) = 0 and prednisone ≤ 5 mg/day and/or immunosuppressants (maintenance dose); LDAS = SLEDAI ≤ 4, prednisone ≤ 7.5 mg/day and/or immunosuppressants (maintenance dose); and non-optimally controlled state = SLEDAI > 4 and/or prednisone > 7.5 mg/day and/or immunosuppressants (induction dose). Antimalarials were allowed in all groups. Patients with at least 2 SLEDAI reported and not optimally controlled at entry were included in these analyses. Outcomes were remission and LDAS. Multivariable Cox regression models (stepwise selection procedure) were performed for remission and for LDAS.Results: Of 1480 patients, 902 were non-optimally controlled at entry; among them, 196 patients achieved remission (21.7%) and 314 achieved LDAS (34.8%). Variables predictive of a higher probability of remission were the absence of mucocutaneous manifestations (HR 1.571, 95% CI 1.064-2.320), absence of renal involvement (HR 1.487, 95% CI 1.067-2.073), and absence of hematologic involvement (HR 1.354, 95% CI 1.005-1.825); the use of immunosuppressive drugs before the baseline visit (HR 1.468, 95% CI 1.025-2.105); and a lower SLEDAI score at entry (HR 1.028, 95% CI 1.006-1.051 per 1-unit decrease). These variables were predictive of LDAS: older age at entry, per 5-year increase (HR 1.050, 95% CI 1.004-1.098); absence of mucocutaneous manifestations (HR 1.401, 95% CI 1.016-1.930) and renal involvement (HR 1.344, 95% CI 1.049-1.721); and lower SLEDAI score at entry (HR 1.025, 95% CI 1.009-1.042).Conclusion: Absence of mucocutaneous, renal, and hematologic involvement, use of immunosuppressive drugs, and lower disease activity early in the course of the disease were predictive of remission in patients with SLE; older age was predictive of LDAS. [ABSTRACT FROM AUTHOR]

Warfarin is dependent on multiple hepatic enzymes for metabolism while apixaban is a substrate for P-glycoprotein (P-gp) transport and hepatic CYP3A4 metabolism. The aim of this analysis was to assess the impact of interacting medication use on the treatment effects of apixaban versus warfarin. Outcomes were compared between apixaban and warfarin using Cox proportional hazards modeling according to the use of interacting medications at randomization in ARISTOTLE (n = 18,201). Interacting medications for apixaban were identified as combined P-gp and 3A4 inhibitors or inducers while interacting medications for warfarin were defined as those highly probable for warfarin potentiation or inhibition. At randomization, 5547 (30.5%) patients were on an interacting medication, including 2722 on apixaban and 2825 on warfarin. Patients using an interacting medication were more likely to be female, taking aspirin, and have a history of prior bleeding and were less likely to have a prior stroke or transient ischemic attack. No significant differences were observed on the treatment effect of apixaban compared with warfarin in patients on and off interacting medications for outcomes including the primary efficacy outcome of stroke or systemic embolism (P for interaction = 0.79) or the primary safety outcome of major bleeding (P for interaction = 0.75). Use of interacting medications with anticoagulants occurs often in patients with atrial fibrillation. Despite the potential for altered exposure, interacting medication use was not associated with a significant change in the efficacy or safety of apixaban compared with warfarin in the ARISTOTLE trial. Trial registration ClinicalTrials.gov, NCT00412984 [ABSTRACT FROM AUTHOR]

Clinical trials conducted for regulatory approval may include outcomes that are informative but not routinely collected in clinical practice. This situation can be problematic when pragmatic clinical trials (PCT) seek to use electronic health record (EHR) data to test the effectiveness of medical products and services in actual practice settings. We use TIMI bleeding events to illustrate how a complex clinical trial endpoint can be implemented using EHR data. While we were able to demonstrate that our EHR-defined bleeding events were associated with differences in patient clinical outcomes, we are not confident that these measurements could be replicated in other locations with consistent reliability and validity. We believe the development of PCT endpoint definitions is an important issue that should be addressed by medical and informatics professional societies, regulators and the medical products industry. [ABSTRACT FROM AUTHOR]