De-identified Clinformatics Data Mart Database Research Articles

Associations Between Neuroinflammation-Related Conditions and Alzheimer's Disease: A Study of US Insurance Claims Data.

Early detection of Alzheimer's disease (AD) is a key component for the success of the recently approved lecanemab and aducanumab. Patients with neuroinflammation-related conditions are associated with a higher risk for developing AD. Investigate the incidence of AD among patients with neuroinflammation-related conditions including epilepsy, hemorrhage stroke, multiple sclerosis (MS), and traumatic brain injury (TBI). We used Optum's de-identified Clinformatics Data Mart Database (CDM). We derived covariate-matched cohorts including patients with neuroinflammation-related conditions and controls without the corresponding condition. The matched cohorts were: 1) patients with epilepsy and controls (N = 67,825 matched pairs); 2) patients with hemorrhage stroke and controls (N = 81,510 matched pairs); 3) patients with MS and controls (N = 9,853 matched pairs); and 4) patients TBI and controls (N = 104,637 matched pairs). We used the Cox model to investigate the associations between neuroinflammation-related conditions and AD. We identified that epilepsy, hemorrhage stroke, and TBI were associated with increased risks of AD in both males and females (hazard ratios [HRs]≥1.74, p < 0.001), as well as in gender- and race-conscious subpopulations (HRs≥1.64, p < 0.001). We identified that MS was associated with increased risks of AD in both males and females (HRs≥1.47, p≤0.004), while gender- and race-conscious subgroup analysis shown mixed associations. Patients with epilepsy, hemorrhage stroke, MS, and/or TBI are associated with a higher risk of developing AD. More attention on cognitive status should be given to older patients with these conditions.

Active surveillance pharmacovigilance for Clostridioides difficile infection and gastrointestinal bleeding: an analytic framework based on case-control studies

Active surveillance pharmacovigilance is an emerging approach to identify medications with unanticipated effects. We previously developed a framework called pharmacopeia-wide association studies (PharmWAS) that limits false positive medication associations through high-dimensional confounding adjustment and set enrichment. We aimed to assess the transportability and generalizability of the PharmWAS framework by using medical claims data to reproduce known medication associations with Clostridioides difficile infection (CDI) or gastrointestinal bleeding (GIB). We conducted case-control studies using Optum's de-identified Clinformatics Data Mart Database of individuals enrolled in large commercial and Medicare Advantage health plans in the United States. Individuals with CDI (from 2010 to 2015) or GIB (from 2010 to 2021) were matched to controls by age and sex. We identified all medications utilized prior to diagnosis and analysed the association of each with CDI or GIB using conditional logistic regression adjusted for risk factors for the outcome and a high-dimensional propensity score. For the CDI study, we identified 55,137 cases, 220,543 controls, and 290 medications to analyse. Antibiotics with Gram-negative spectrum, including ciprofloxacin (aOR 2.83), ceftriaxone (aOR 2.65), and levofloxacin (aOR 1.60), were strongly associated. For the GIB study, we identified 450,315 cases, 1,801,260 controls, and 354 medications to analyse. Antiplatelets, anticoagulants, and non-steroidal anti-inflammatory drugs, including ticagrelor (aOR 2.81), naproxen (aOR 1.87), and rivaroxaban (aOR 1.31), were strongly associated. These studies demonstrate the generalizability and transportability of the PharmWAS pharmacovigilance framework. With additional validation, PharmWAS could complement traditional passive surveillance systems to identify medications that unexpectedly provoke or prevent high-impact conditions. U.S. National Institute of Diabetes and Digestive and Kidney Diseases.

Changes in the Appropriateness of US Outpatient Antibiotic Prescribing After the Coronavirus Disease 2019 Outbreak: An Interrupted Time Series Analysis of 2016–2021 Data

Abstract Background No national study has evaluated changes in the appropriateness of US outpatient antibiotic prescribing across all conditions and age groups after the coronavirus disease 2019 (COVID-19) outbreak in March 2020. Methods This was an interrupted time series analysis of Optum's de-identified Clinformatics Data Mart Database, a national commercial and Medicare Advantage claims database. Analyses included prescriptions for antibiotics dispensed to children and adults enrolled during each month during 2017–2021. For each prescription, we applied our previously developed antibiotic appropriateness classification scheme to International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis codes on medical claims occurring on or during the 3 days prior to dispensing. Outcomes included the monthly proportion of antibiotic prescriptions that were inappropriate and the monthly proportion of enrollees with ≥1 inappropriate prescription. Using segmented regression models, we assessed for level and slope changes in outcomes in March 2020. Results Analyses included 37 566 581 enrollees, of whom 19 154 059 (51.0%) were female. The proportion of enrollees with ≥1 inappropriate prescription decreased in March 2020 (level decrease: −0.80 percentage points [95% confidence interval {CI}, −1.09% to −.51%]) and subsequently increased (slope increase: 0.02 percentage points per month [95% CI, .01%–.03%]), partly because overall antibiotic dispensing rebounded and partly because the proportion of antibiotic prescriptions that were inappropriate increased (slope increase: 0.11 percentage points per month [95% CI, .04%–.18%]). In December 2021, the proportion of enrollees with ≥1 inappropriate prescription equaled the corresponding proportion in December 2019. Conclusions Despite an initial decline, the proportion of enrollees exposed to inappropriate antibiotics returned to baseline levels by December 2021. Findings underscore the continued importance of outpatient antibiotic stewardship initiatives.

Financial Viability of the No Surprises Act Independent Dispute Resolution Process: Radiology and Other Hospital-Based Specialties.

BACKGROUND. The federal No Surprises Act (NSA), designed to eliminate surprise medical billing for out-of-network (OON) care for circumstances beyond patients' control, established the independent dispute resolution (IDR) process to settle clinician-payer payment disputes for OON care. OBJECTIVE. The purpose of our study was to assess the fraction of OON claims for which radiologists and other hospital-based specialists can expect to at least break even when challenging payer-determined payments through the NSA IDR process, as a measure of the process's financial viability. METHODS. This retrospective study extracted claims from a national commercial database (Optum's deidentified Clinformatics Data Mart) for hospital-based specialties occurring on the same day as in-network emergency department (ED) visits or inpatient stays from January 2017 to December 2021. OON claims were identified. OON claims batching was simulated using IDR rules. Maximum potential recovered payments from the IDR process were estimated as the difference between the charges and the allowed amount. The percentages of claims for which the maximum potential payment and one-quarter of this amount (a more realistic payment recovery estimate) would exceed IDR fees were determined, using US$150 and US$450 fee thresholds to approximate the range of final 2024 IDR fees. These values represented the percentage of OON claims that would be financially viable candidates for IDR submission. RESULTS. Among 76,221,264 claims for hospital-based specialties associated with in-network ED visits or inpatient stays, 1,482,973 (1.9%) were OON. The maximum potential payment exceeded fee thresholds of US$150 and US$450 for 55.0% and 32.1%, respectively, of batched OON claims for radiologists and 76.8% and 61.3% of batched OON claims for all other hospital-based specialties combined. At payment of one-quarter of that amount, these values were 26.9% and 10.6%, respectively, for radiologists and 56.6% and 38.4% for all other hospital-based specialties combined. CONCLUSION. The IDR process would be financially unviable for a substantial fraction of OON claims for hospital-based specialists (more so for radiology than for other such specialties). CLINICAL IMPACT. Although the NSA enacted important patient protections, IDR fees limit clinicians' opportunities to dispute payer-determined payments and potentially undermine their bargaining power in contract negotiations. Therefore, IDR rulemaking may negatively impact patient access to in-network care.

Association between social vulnerability index and admission urgency for transcatheter aortic valve replacement

BackgroundTranscatheter aortic valve replacement (TAVR) are not offered equitably to vulnerable population groups. Adequate levels of insurance may narrow gaps among patients with higher social vulnerability index (SVI). Among a national population of individuals with commercial or Medicare insurance, we sought to determine whether SVI was associated with urgency of receipt of TAVR for aortic stenosis. Methods and resultsUsing Optum's de-identified Clinformatics Data Mart Database (CDM), we identified admissions for TAVR with aortic stenosis between January 2018 and March 2022. Admission urgency was identified by CDM claims codes. SVI was cross-referenced to patient zip codes and grouped into quintiles. Generalized linear mixed effects models were used to predict the probability of a TAVR admission being urgent based on SVI quintiles, adjusting for patient and hospital-level covariates. ResultsAmong 6680 admissions for TAVR [median age 80 years (interquartile range 75–85), 43.9 % female], 8.5 % (n = 567) were classified as urgent. After adjusting for patient and hospital-level variables, there were no significant differences in the odds of urgent admission for TAVR according to SVI quintiles [OR 5th (greatest social vulnerability) vs 1st quintile (least social vulnerability): 1.29 (95 % CI: 0.90–1.85)]. ConclusionsAmong commercial or Medicare beneficiaries with aortic stenosis, SVI was not associated with admission urgency for TAVR. To clarify whether cardiovascular care delivery is improved across SVI with higher paying beneficiaries, future investigation should identify whether relationships between SVI and TAVR urgency vary for Medicaid beneficiaries compared to commercial beneficiaries.

Dynamic Prognosis Prediction for Patients on DAPT After Drug-Eluting Stent Implantation: Model Development and Validation.

The rapid evolution of artificial intelligence (AI) in conjunction with recent updates in dual antiplatelet therapy (DAPT) management guidelines emphasizes the necessity for innovative models to predict ischemic or bleeding events after drug-eluting stent implantation. Leveraging AI for dynamic prediction has the potential to revolutionize risk stratification and provide personalized decision support for DAPT management. We developed and validated a new AI-based pipeline using retrospective data of drug-eluting stent-treated patients, sourced from the Cerner Health Facts data set (n=98 236) and Optum's de-identified Clinformatics Data Mart Database (n=9978). The 36 months following drug-eluting stent implantation were designated as our primary forecasting interval, further segmented into 6 sequential prediction windows. We evaluated 5 distinct AI algorithms for their precision in predicting ischemic and bleeding risks. Model discriminative accuracy was assessed using the area under the receiver operating characteristic curve, among other metrics. The weighted light gradient boosting machine stood out as the preeminent model, thus earning its place as our AI-DAPT model. The AI-DAPT demonstrated peak accuracy in the 30 to 36 months window, charting an area under the receiver operating characteristic curve of 90% [95% CI, 88%-92%] for ischemia and 84% [95% CI, 82%-87%] for bleeding predictions. Our AI-DAPT excels in formulating iterative, refined dynamic predictions by assimilating ongoing updates from patients' clinical profiles, holding value as a novel smart clinical tool to facilitate optimal DAPT duration management with high accuracy and adaptability.

Sex Disparities in Longitudinal Use and Intensification of Guideline-Directed Medical Therapy Among Patients With Newly Diagnosed Heart Failure With Reduced Ejection Fraction.

Guideline-directed medical therapies (GDMTs) are the mainstay of treatment for heart failure with reduced ejection fraction (HFrEF), but they are underused. Whether sex differences exist in the initiation and intensification of GDMT for newly diagnosed HFrEF is not well established. Patients with incident HFrEF were identified from the 2016 to 2020 Optum deidentified Clinformatics Data Mart Database, which is derived from a database of administrative health claims for members of large commercial and Medicare Advantage health plans. The primary outcome was the use of optimal GDMT within 12 months of HFrEF diagnosis. Consistent with the guideline recommendations during the time period of the study, optimal GDMT was defined as ≥50% of the target dose of evidence-based beta-blocker plus ≥50% of the target dose of angiotensin-converting enzyme inhibitor or angiotensin receptor blocker, or any dose of angiotensin receptor neprilysin inhibitor plus any dose of mineralocorticoid receptor antagonist. The probability of achieving optimal GDMT on follow-up and predictors of optimal GDMT were evaluated with time-to-event analysis with adjusted Cox proportional hazard models. The study cohort included 63 759 patients (mean age, 71.3 years; 15.2% non-Hispanic Black race; 56.6% male). Optimal GDMT use was achieved by 6.2% of patients at 12 months after diagnosis. Female (compared with male) patients with HFrEF had lower use across every GDMT class and lower use of optimal GDMT at each time point at follow-up. In an adjusted Cox model, female sex was associated with a 23% lower probability of achieving optimal GDMT after diagnosis (hazard ratio [HR], 0.77 [95% CI, 0.71-0.83]; P<0.001). The sex disparities in GDMT use after HFrEF diagnosis were most pronounced among patients with commercial insurance (females compared with males; HR, 0.66 [95% CI, 0.58-0.76]) compared with Medicare (HR, 0.85 [95% CI, 0.77-0.92]); Pinteraction sex×insurance status=0.005) and for younger patients (age <65 years: HR, 0.65 [95% CI, 0.58-0.74]) compared with older patients (age ≥65 years: HR, 87 [95% CI, 80-96]) Pinteraction sex×age=0.009). Overall use of optimal GDMT after HFrEF diagnosis was low, with significantly lower use among female (compared with male) patients. These findings highlight the need for implementation efforts directed at improving GDMT initiation and titration.

Use of Disease-Modifying Treatments in Patients With Sickle Cell Disease

Despite hydroxyurea being an established treatment for sickle cell disease (SCD), it remains underused. The recent approval of the disease-modifying treatments (DMTs) l-glutamine, crizanlizumab, and voxelotor underscores the need to understand the uptake of DMTs in the current treatment landscape. To explore characteristics that may be associated with DMT use and to describe observed patterns of yearly DMT use from 2014 to 2021. This cross-sectional study used administrative claims data from Optum's deidentified Clinformatics Data Mart Database from January 1, 2014, to September 30, 2021, to identify adults and children with SCD. Data were analyzed from August 1, 2022, to August 28, 2023. Use of DMTs. Patient characteristics across groups with varying patterns of DMT use and yearly patterns of prescription fills for hydroxyurea, crizanlizumab, voxelotor, and l-glutamine. A total of 5022 beneficiaries with SCD (2081 [41.4%] aged 18-45 years; 2929 [58.3%] female) were included in sample A (144 [2.9%] inconsistent users, 274 [5.5%] incident users, 892 [17.8%] consistent users, and 3712 [73.9%] non-DMT users). Inconsistent users had a higher prevalence of vaso-occlusive crises (mean [SD], 3.7 [4.7]), splenic complications (6 of 144 [4.2%]), pulmonary complications (36 of 144 [25.0%]), kidney disease (21 of 144 [14.6%]), acute chest syndrome (18 of 144 [12.5%]), and health care visits (eg, mean [SD] inpatient visits, 7.0 [10.7]) compared with the other use groups. Non-DMT users had the lowest prevalence of vaso-occlusive crises (mean [SD], 0.8 [2.4]), acute chest syndrome (109 of 3712 [2.9%]), and inpatient (mean [SD], 2.0 [6.6]) and emergency department (mean [SD], 0.7 [3.1]) visits and the highest proportion of adults 65 years and older (593 of 3712 [16.0%]). In sample B (6387 beneficiaries with SCD), hydroxyurea use modestly increased from 428 of 2188 participants (19.6%) in 2014 to 701 of 2880 (24.3%) in 2021. Use of l-glutamine increased briefly but gradually decreased throughout the study period. In 2021, out of 2880 participants, 102 (3.5%) had at least 1 fill for crizanlizumab and 131 (4.6%) had at least 1 fill for voxelotor. Overall, total DMT use increased from 428 of 2188 participants (19.6%) in 2014 to 815 of 2880 patients (28.3%) in 2021. In this cross-sectional analysis of adults and children with SCD, uptake of DMTs remained low from 2014 to 2021, despite the approval of newer therapies. Notable differences in patient characteristics across varied DMT exposure types necessitate further exploration into factors that facilitate DMT use and the creation of strategies to enhance DMT uptake.

Comparative Safety and Effectiveness of Warfarin or Rivaroxaban Versus Apixaban in Patients With Advanced CKD and Atrial Fibrillation: Nationwide US Cohort Study

Head-to-head data comparing the effectiveness and safety of oral anticoagulants in patients with atrial fibrillation (AF) and advanced chronic kidney disease (CKD) are lacking. We compared the safety and effectiveness of warfarin or rivaroxaban versus apixaban in patients with AF and non-dialysis-dependent CKD stage 4/5. Propensity score-matched cohort study. 2 nationwide US claims databases, Medicare and Optum's deidentified Clinformatics Data Mart Database, were searched for the interval from January 1, 2013, through March 31, 2022, for patients with nonvalvular AF and CKD stage 4/5 who initiated warfarin versus apixaban (matched cohort, n=12,488) and rivaroxaban versus apixaban (matched cohort, n= 5,720). Warfarin, rivaroxaban, or apixaban. Primary outcomes included major bleeding and ischemic stroke. Secondary outcomes included all-cause mortality, major gastrointestinal bleeding, and intracranial bleeding. Cox regression was used to estimate HRs, and 1:1 propensity-score matching was used to adjust for 80 potential confounders. Compared with apixaban, warfarin initiation was associated with a higher rate of major bleeding (HR, 1.85; 95% CI, 1.59-2.15), including major gastrointestinal bleeding (1.86; 1.53-2.25) and intracranial bleeding (2.15; 1.42-3.25). Compared with apixaban, rivaroxaban was also associated with a higher rate of major bleeding (1.69; 1.33-2.15). All-cause mortality was similar for warfarin (1.08; 0.98-1.18) and rivaroxaban (0.94; 0.81-1.10) versus apixaban. Furthermore, no statistically significant differences for ischemic stroke were observed for warfarin (1.14; 0.83-1.57) or rivaroxaban (0.71; 0.40-1.24) versus apixaban, but the CIs were wide. Similar results were observed for warfarin versus apixaban in the positive control cohort of patients with CKD stage 3, consistent with randomized trial findings. Few ischemic stroke events, potential residual confounding. In patients with AF and advanced CKD, rivaroxaban and warfarin were associated with higher rates of major bleeding compared with apixaban, suggesting a superior safety profile for apixaban in this high-risk population. Different anticoagulants have been shown to reduce the risk of stroke in patients with atrial fibrillation, such as warfarin and direct oral anticoagulants like apixaban and rivaroxaban. Unfortunately, the large-scale randomized trials that compared direct anticoagulants versus warfarin excluded patients with advanced chronic kidney disease. Therefore, the comparative safety and effectiveness of warfarin, apixaban, and rivaroxaban are uncertain in this population. In this study, we used administrative claims data from the United States to answer this question. We found that warfarin and rivaroxaban were associated with increased risks of major bleeding compared with apixaban. There were few stroke events, with no major differences among the 3 drugs in the risk of stroke. In conclusion, this study suggests that apixaban has a better safety profile than warfarin and rivaroxaban.

Real-World Incidence of Adverse Clinical Outcomes Among People With Coronary Artery Disease and/or Peripheral Artery Disease in Relation to Vascular Risk in the United States

Presence of polyvascular disease, diabetes, heart failure, or renal insufficiency in patients with chronic coronary artery disease (CAD) and peripheral artery disease (PAD) are associated with increased risks of adverse events, including major adverse cardiovascular events (MACEs) and major adverse limb events (MALEs). In this retrospective observational study using administrative claims data from Optum's deidentified Clinformatics Data Mart Database from January 2016 to September 2021, we described the incidence rates of MACEs, MALEs, and major thrombotic vascular events in patients with CAD or PAD stratified by the presence of risk factors (i.e., polyvascular disease, diabetes, heart failure, or renal insufficiency). A total of 1,435,241 patients (77% CAD and 34% PAD) met the inclusion and exclusion criteria. Patients with 0 risk factors were deemed the low-risk group (47%; n=681,333) and patients with ≥1 risk factor were deemed the high-risk group (53%; n=753,908). The mean age was 71.8 and 73.6years, and 42% and 44% were female in the low- and high-risk groups, respectively. Compared with the low-risk group, the high-risk group had a 72% higher hazard of developing MACEs (adjusted hazard ratio 1.72, 95% confidence interval 1.70 to 1.74), 82% higher hazard of developing major thrombotic vascular events (1.82, 1.80 to 1.84), and 146% higher hazard of developing MALEs (2.46, 2.39 to 2.53) (all p <0.001). In conclusion, in patients with CAD or PAD, the presence of 1 or more risk factors was associated with higher risks of MACEs, MALEs, and major thrombotic vascular events, underscoring the need to improve management of underlying diseases in this population.

Association of patient copayment and medication adherence in systemic lupus erythematosus

ObjectiveTo investigate the association of medication copayment and treatment adherence to hydroxychloroquine and immunosuppressants for SLE.MethodsWe conducted a retrospective analysis of health claims data using Optum’s de-identified Clinformatics Data Mart...

Real-World Treatment Effectiveness of Disease-Modifying Antirheumatic Drugs by Serostatus Among Patients With Rheumatoid Arthritis.

The objective of this study was to compare the clinical effectiveness of biologic disease-modifying antirheumatic drugs (bDMARDs) or Janus kinase inhibitors (JAKi) among seropositive versus seronegative patients with rheumatoid arthritis (RA) in a real-world setting. We used Optum's deidentified Clinformatics Data Mart Database (January 1, 2004, to March 31, 2021) linked with outpatient laboratory test results. The study population was adult patients with RA who initiated a bDMARD or JAKi. The index date was the dispensing of the first-ever study drug. At least 1-year continuous enrollment before and after the index date was required. Disenrollment due to death after the index date was allowed. Serostatus was defined using laboratory test results or the International Classification of Diseases, 10th Revision code M05x or M06.0x any time prior to the index date. Treatment effectiveness was measured based on a claims-based composite endpoint at 1-year post index, including nonoccurrence of any of the following: addition of conventional synthetic DMARDs, addition of or switching tonew bDMARDs/JAKi, initiation of glucocorticoids, increased glucocorticoid dose, or death. Log-binomial regression models were constructed to estimate the risk ratio (RR) with 95% confidence interval (CI) comparing seropositive patients with seronegative patients, adjusting for more than 60 baseline covariates. We identified a total of 7813 seropositive patients and 4202 seronegative patients. The mean (±SD) age was 56.7 (±14.0) years; 77.9% were female. The risk of 1-year treatment effectiveness was 70.2% among seropositive patients and 69.8% among seronegative patients. The adjusted RR (95% CI) was 1.00 (0.98-1.02). In this real-world cohort study, seropositive and seronegative patients with RA had similar 1-year treatment effectiveness after initiating a bDMARD/JAKi.

Burden of Herpes Zoster Among Patients with Psoriasis in the United States.

Patients with psoriasis (PsO) are at increased risk of herpes zoster (HZ), but recentdata on the incidence of HZ among patients with PsO and the impact of HZ on healthcare resource use (HRU) and costs for patients with PsO have not been described. This retrospective, longitudinal, cohort study estimated HZ incidence in cohorts of adults with vs without PsO (PsO + vs PsO-) and HRU and costs among those with PsO, with vs without HZ (PsO + /HZ + vs PsO + /HZ-) using Optum's de-identified Clinformatics Data Mart Database during 2015-2020. Patients with psoriatic arthritis were excluded from all four cohorts. Comparisons between cohorts used generalized linear models to adjust outcomes based on various baseline characteristics. The incidence rate of HZ was significantly higher in the PsO + (n = 144,115) vs PsO- (n = 23,837,237) cohorts at 11.35 vs 7.67 per 1000 patient-years; adjusted incidence rate ratio (aIRR): 1.21, 95% confidence interval (CI): 1.16-1.25. HRU (outpatient, emergency department, and inpatient) was significantly higher in the PsO + /HZ + (n = 1859) vs PsO + /HZ- (n = 78,664) cohorts during 1 month and 3 months after HZ diagnosis (e.g., outpatient visits during month: 2.83 vs 1.30 per patient; aIRR: 1.96; 95% CI 1.86-2.06). Mean all-cause costs were also significantly higher in the PsO + /HZ + vs PsO + /HZ- cohort during both month ($5020 vs $2715 per patient; adjusted cost difference: $1390; 95% CI $842-$1964) and 3months ($12,305 vs $8256; adjusted cost difference: $1422; 95% CI $280-$2889) after HZ diagnosis. These findings show the increased incidence of HZ among patients with PsO and the clinical and economic burdens of HZ in this population. Considering the high prevalence of PsO, insights into the impact of HZ in these patients provide valuable evidence to inform clinical decision-making.

Real-world Duration of Use and Dosing Frequency of Daratumumab in Patients With Multiple Myeloma in the United States

Daratumumab (DARA) is an anti-CD38 monoclonal antibody approved as a combination therapy for newly diagnosed multiple myeloma (MM) and as monotherapy and combination therapy for relapsed or refractory MM cases. We assessed the length of DARA use across lines of therapy and the probabilities of treatment discontinuation in patients with MM in the real-world. We used the deidentified Clinformatics Data Mart database from Optum to identify patients with MM (n=2124) who received DARA-containing treatment between November 1, 2015 and March 31, 2021 in the United States. Patients were excluded if they had received a stem cell transplant. The duration of DARA use was defined as the time interval between the first initiation and discontinuation of DARA as a time-to-event outcome using the Kaplan-Meier method. A gap of more than 60 days between 2 consequent DARA claim dates was defined as DARA discontinuation. The median duration of continuous DARA use was 16.6 months. By 24 months, 33.1% of patients remained on DARA treatment. In a subgroup analysis of patients with 12 months or more continuous insurance coverage (n=1246), the median length of DARA use was 24.7 months; by 24 months, 51.8% remained on DARA treatment. The dose adherence ratios (observed DARA doses relative to the label) were close to 1.0, particularly among patients with longer follow-up, indicating that real-world DARA dosing frequency was similar to that on the approved label. In summary, this real-world analysis reported that the median duration of continuous DARA use is 16.6 months, with high dosing adherence in patients who have MM.

The Impact of Downstream Procedures on Lung Cancer Screening Adherence

Objective(1) Evaluate downstream procedures after lung cancer screening (LCS), including imaging and invasive procedures, in screened individuals without screen-detected lung cancer. (2) Determine the association between repeat LCS and downstream procedures and patient characteristics. MethodsIndividuals receiving LCS between January 1, 2015, and November 30, 2020, from Optum’s deidentified Clinformatics Data Mart Database were included. Individuals with lung cancer after LCS were excluded. We determined frequency and costs of downstream procedures after LCS, including diagnostic imaging (chest CT, PET, or CT using fluorine-18-2-fluoro-2-deoxy-D-glucose imaging) and invasive procedures (bronchoscopy, needle biopsy, thoracic surgery). A generalized estimating equation was used to model repeat LCS as a function of downstream procedures and patient characteristics. The primary outcome was repeat screening within 1 year of index LCS, and a secondary analysis evaluated the outcome of repeat screening with 2 years of index LCS. ResultsIn all, 23,640 individuals receiving 30,521 LCS examinations were included in the primary analysis; 17.7% of LCS examinations (5,414 of 30,521) prompted downstream testing, with chest CT within 4 months being most common (9.1%, 2,769 of 30,521). At multivariable analysis adjusted for patient characteristics, the occurrence of a downstream diagnostic imaging test or invasive procedure was associated with a decreased likelihood of repeat annual LCS (adjusted odds ratio, 95% confidence interval: 0.38, 0.34-0.44; adjusted odds ratio, 95% confidence interval: 0.75, 0.63-0.90, respectively). DiscussionDownstream imaging and invasive procedures after LCS are potential barriers to LCS adherence. Efforts to reduce false-positives at LCS and reduce patient costs from downstream procedures are likely necessary to ensure that downstream workup after LCS does not discourage screening adherence.

An Examination of Racial and Ethnic Disparities in the Use of Prostate Biopsy and Magnetic Resonance Imaging in Prostate Cancer Screening.

We assessed racial and ethnic disparities in the use of prostate biopsy or MRI following an elevated PSA result. We retrospectively evaluated insurance claims from Optum's de-identified Clinformatics Data Mart database from January 1, 2011 to December 31, 2017. This was a large commercially insured cohort from across the United States. We included all male enrollees over 40 years old receiving an elevated PSA result with no prior prostate biopsy or MRI and no confirmed urinary tract infection within 6 weeks of PSA test. A total of 765,409 participants met inclusion criteria with 43,711 (5.71%) receiving a PSA result above 4 ng/mL. Of these, 7,399 received either a prostate biopsy or MRI within 180 days. Men between ages 40-54 (29.48%) were most likely to receive prostate biopsy or MRI after an elevated PSA, followed by those between 55-64 (24.91%), 65-74 (18.56%), 75-84 (6.33%), and above 85 (3.62%). Compared to White patients, Black patients were more likely to receive either a prostate biopsy or MRI (OR: 1.16, 95% CI: 1.01, 1.32) following an elevated PSA level, while Asian (OR: 0.72, 95% CI: 0.54, 0.96) and Hispanic (OR: 0.83, 95% CI: 0.70, 0/97) patients were less likely. Physicians appear to be following the reported statistical incidence of prostate cancer by race and ethnicity when using prostate biopsy or MRI for patients with elevated PSA levels. These results demonstrate the importance of publishing statistical data on disease incidence by race and ethnicity for informing physicians' decision-making.

Risk of chronic kidney disease in patients with acute kidney injury following a major surgery: a US claims database analysis.

Acute kidney injury (AKI) is a common complication after major surgery. This study assessed the risk of developing or worsening of chronic kidney disease (CKD) and other clinical outcomes in patients experiencing AKI after major surgery. This retrospective observational study used Optum's de-identified Clinformatics Data Mart Database to investigate cardiorenal outcomes in adult patients at the first AKI event following major surgery. The primary outcome was CKD stage ≥3; secondary outcomes included myocardial infarction (MI), stroke, heart failure, all-cause hospitalization, end-stage kidney disease, need for dialysis or kidney transplant and composite measures. Follow-up was up to 3years. Additionally, the effect of intercurrent events on the risk of clinical outcomes was assessed. Of the included patients (N=31252), most were male (61.9%) and White (68.9%), with a median age of 72years (interquartile range 64-79). The event rates were 25.5 events/100 patient-years (PY) for CKD stage ≥3, 3.1 events/100 PY for end-stage kidney disease, 3.0 events/100 PY for dialysis and 0.1 events/100 PY for kidney transplants. Additionally, there were 6.9 events/100 PY for MI, 8.7 events/100 PY for stroke and 49.8 events/100 PY for all-cause hospitalization during follow-up. Patients with AKI relapses as intercurrent events were more likely to develop CKD stage ≥3 than those with just one AKI event after major surgery. This analysis demonstrated that patients experiencing AKI following major surgery are at high risk of developing severe CKD or worsening of pre-existing CKD and other cardiorenal clinical outcomes such as MI and stroke.

Evaluation of Out-of-Pocket Costs and Treatment Intensification With an SGLT2 Inhibitor or GLP-1 RA in Patients With Type 2 Diabetes and Cardiovascular Disease

The latest guidelines continue to recommend sodium-glucose cotransporter 2 (SGLT2) inhibitors and glucagon-like peptide-1 receptor agonists (GLP-1 RAs) for patients with type 2 diabetes (T2D) and established cardiovascular disease (CVD). Despite this, overall use of these 2 drug classes has been suboptimal. To assess the association of high out-of-pocket (OOP) costs and the initiation of an SGLT2 inhibitor or GLP-1 RA among adults with T2D and established CVD who are treated with metformin-treated. This retrospective cohort study used 2017 to 2021 data from the Optum deidentified Clinformatics Data Mart Database. Each individual in the cohort was categorized into quartiles of OOP costs for a 1-month supply of SGLT2 inhibitor and GLP-1 RA based on their health plan assignment. Data were analyzed from April 2021 to October 2022. OOP cost for SGLT2 inhibitors and GLP-1 RA. The primary outcome was treatment intensification, defined as a new dispensing (ie, initiation) of either an SGLT2 inhibitor or GLP-1 RA, among patients with T2D previously treated with metformin monotherapy. For each drug class separately, Cox proportional hazards models were used to adjust for demographic, clinical, plan, clinician, and laboratory characteristics to estimate the hazard ratios of treatment intensification comparing the highest vs the lowest quartile of OOP costs. Our cohort included 80 807 adult patients (mean [SD] age, 72 [9.5] years, 45 129 [55.8%] male; 71 128 [88%] were insured with Medicare Advantage) with T2D and established CVD on metformin monotherapy. Patients were followed for a median (IQR) of 1080 days (528 to 1337). The mean (SD) of OOP costs in the highest vs lowest quartile was $118 [32] vs $25 [12] for GLP-1 RA, and $91 [25] vs $23 [9] for SGLT2 inhibitors. Compared with patients in plans with the lowest quartile (Q1) of OOP costs, patients in plans with the highest quartile (Q4) of costs were less likely to initiate a GLP-1 RA (adjusted HR, 0.87 [95% CI, 0.78 to 0.97]) or an SGLT2 inhibitor (adjusted HR, 0.80 [95% CI, 0.73 to 0.88]). The median (IQR) number of days to initiating a GLP-1 RA was 481 (207-820) days in Q1 and 556 (237-917) days in Q4 of OOP costs and 520 (193-876) days in Q1 vs 685 (309-1017) days in Q4 for SGLT2 inhibitors. In this cohort study of more than 80 000 older adults with T2D and established CVD covered by Medicare Advantage and commercial plans, those in the highest quartile of OOP cost were 13% and 20% less likely to initiate a GLP-1 RA or SGLT2 inhibitor, respectively, when compared with those in the lowest quartile of OOP costs.

Time duration and health care resource use during cancer diagnoses in the United States: A large claims database analysis.

BACKGROUND: Cancer diagnostic pathways are highly variable and not clearly established in the United States, which can lead to a diagnosis process that takes more time and exposes patients to invasive or unnecessary procedures, delays in treatment, worsening patient outcomes, and elevated health care resource utilization (HRU) and health care system costs. OBJECTIVE: To investigate current trends in time to diagnosis and diagnostic-related HRU preceding the patient's cancer diagnosis across all cancer types in the United States. METHODS: A retrospective claims analysis was conducted on patients newly diagnosed with cancer identified from 2018-2019 using Optum's de-identified Clinformatics Data Mart database, which includes Medicare Advantage and commercially insured members. Patients were identified using International Classification of Diseases, Tenth Revision codes and were required to have at least 2 outpatient visits at least 30 days apart or at least 1 inpatient cancer visit without prior cancer claims. The first diagnostic test was identified based on an algorithm of a 60-day gap between diagnostic tests prior to diagnosis. The index date was defined as the first diagnostic test date or an office visit less than 4 weeks prior to the first diagnostic test date. Patient characteristics, time to diagnosis, and HRU were descriptively analyzed for all patients and by cancer type. RESULTS: Among the 458,818 patients newly diagnosed with cancer included in this analysis, the mean age was 70.6 years, approximately half were female, and most were White people (65.0%) with Medicare Advantage coverage (74.0%). Patients with cancer had an overall mean (SD) time to diagnosis of 156.2 (164.9) days and 15.4% of patients waited longer than 180 days before a cancer diagnosis. High heterogeneity among cancer types was observed, with a mean time to diagnosis ranging from 121.6 days (bladder cancer) to 229.0 days (multiple myeloma). Imaging resource use during the diagnostic pathway was high for radiology (60.7%), computerized tomography (50.8%), magnetic resonance imaging (48.6%), and ultrasound (42.6%). A total of 69.3% of patients had endoscopy without biopsy, 36.5% had endoscopy with biopsy, 62.5% had other biopsies, and most patients did general urine and serum tests (91.3%) and nongenetic cancer-specific laboratory tests (84.3%). Resource use was highly varied by cancer type but tended to increase with a longer time to diagnosis. CONCLUSIONS: The proportion of patients experiencing a diagnostic process of longer than 180 days is clinically and economically meaningful. Diagnostic-related HRU was significant and highly variable, highlighting the inefficiencies in the cancer diagnostic process in the United States and the need for policies, guidelines, or medical interventions to streamline cancer diagnostic pathways to optimize patient outcomes and reduce health care system burden. DISCLOSURES: Dr Cong is an employee of Grail, LLC, which supported this study. Drs Gitlin and McGarvey are employees of BluePath Solutions, and Ms Shivaprakash was an employee of BluePath Solutions, which received financial support from Grail, LLC, for study-related research activities. This study was sponsored by Grail, LLC, a subsidiary of Illumina Inc. currently held separate from Illumina Inc. under the terms of the Interim Measures Order of the European Commission dated October 29, 2021. The sponsor had no role in the collection, management, and analysis of the data. The sponsor contributed to study design and data interpretation.

Effect of colorectal cancer screening on 1-year mortality and medical costs: Real-world evidence from the largest commercial medical claims database in the US.

10579 Background: Colorectal cancer (CRC) is the third leading cause of cancer-related deaths in the United States with increasing trends in both mortality and incidence in individuals under age 50. Whether CRC screening reduces mortality recently becomes controversial in some observational studies due to a lack of data and a possibility of screenings confounded with social determinants of health (SDoH) and patient characteristics that were not properly addressed. Methods: We used the Optum’s de-identified Clinformatics Data Mart Database that provides information of healthcare plan, major SDoH, the CRC diagnosis, treatments, medical service and prescription charges, and survival data since 2007 for over 75 million patients to re-examine benefits of CRC screenings. Our CRC study cohort (N=99,704) included persons first diagnosed with CRC between 2010 – 2020, with 3-year pre-diagnosis continuing insurance coverage to identify pre-diagnosis screening, and 1-year follow-up to identify death and associated costs. Primary outcomes are 1-year mortality, the post-diagnosis medical and prescription cost increments, and health plan change after CRC diagnosis. Augmented inverse probability weighting (AIPW) models were employed to estimate the benefits of CRC screening, adjusting the probabilities of pre-diagnosis screenings due to insurance cover types (commercial/employer, Medicare advantage, and dual Medicare-Medicaid or low-income subsidy (LIS) covers), and healthcare plans (pre-paid, only-in-network, pay-less in-network, and fee-for-service plans), ages, sex, race, residential states, and calendar year. Results: In the study cohort, 37.8% have pre-diagnosis screening records, 18% died within 1 year. Women, persons under age 45, and persons with dual covers were more present in the non-screening group than the screening one. CRC screening was associated with a significant reduction of one-year mortality after adjusting for age, sex, race, health plans, and other factors (death rates in the non-screening group vs the screening one were 23% vs 12%, adjusted OR = 0.57, 95%CI = 0.55 - 0.59). Persons with no screening records experienced higher one-year medical cost increases than those who had pre-diagnosis screenings (17.8% vs 14.8%). No significant difference in health plan changes and/or disruption among the two groups was obvious for persons having either dual- or commercial-cover beneficiaries, yet the screenings slightly induced more these plan changes in the Medicare advantage beneficiaries (OR = 1.06, 95%CI = 1.01 - 1.11). Conclusions: The real-world evidence from the US largest medical claims database suggested that, after adjusting for the screening probability due to healthcare plans and other confounders, CRC screening dramatically reduced one-year death risk, and slightly eased the 1-year financial burdens after CRC diagnosis.