Identifying pregnancy episodes and estimating the last menstrual period using an administrative database in Korea: an application to patients with systemic lupus erythematosus.

OBJECTIVES: This study developed an algorithm for identifying pregnancy episodes and estimating the last menstrual period (LMP) in an administrative claims database and applied it to investigate the use of pregnancy-incompatible immunosuppressants among pregnant women with systemic lupus erythematosus (SLE). METHODS: An algorithm was developed and applied to a nationwide claims database in Korea. Pregnancy episodes were identified using a hierarchy of pregnancy outcomes and clinically plausible periods for subsequent episodes. The LMP was estimated using preterm delivery, sonography, and abortion procedure codes. Otherwise, outcome-specific estimates were applied, assigning a fixed gestational age to the corresponding pregnancy outcome. The algorithm was used to examine the prevalence of pregnancies and utilization of pregnancy-incompatible immunosuppressants (cyclophosphamide [CYC]/mycophenolate mofetil [MMF]/methotrexate [MTX]) and non-steroidal anti-inflammatory drugs (NSAIDs) during pregnancy in SLE patients. RESULTS: The pregnancy outcomes identified in SLE patients included live births (67%), stillbirths (2%), and abortions (31%). The LMP was mostly estimated with outcome-specific estimates for full-term births (92.3%) and using sonography procedure codes (54.7%) and preterm delivery diagnosis codes (37.9%) for preterm births. The use of CYC/MMF/MTX decreased from 7.6% during preconception to 0.2% at the end of pregnancy. CYC/MMF/MTX use was observed in 3.6% of women within 3 months preconception and 2.5% during 0-7 weeks of pregnancy. CONCLUSIONS: This study presents the first pregnancy algorithm using a Korean administrative claims database. Although further validation is necessary, this study provides a foundation for evaluating the safety of medications during pregnancy using secondary databases in Korea, especially for rare diseases.

Utilizing temporal pattern of adverse event reports to identify potential late-onset adverse events.

OBJECTIVES: Through the use of FDA adverse event reporting system (FAERS) dataset, this study analyzes the pattern of time-to-event (TTE) for drugs and adverse events, and suggest ways to identify candidate late-onset events for monitoring. METHODS: The duration between administration date of the drug and the onset of adverse events was explored with using FAERS data from 2012-2021. The fold change of proportional reporting ratios or reporting odds ratios were calculated to identify enriched events in the later period and to suggest the late-onset events for further monitoring. To compare the findings, we used the claims database of the Korean National Health Insurance Service (NHIS). RESULTS: A total of 1,426,781 reports were included. The median TTE was 10 days (interquartile range [IQR]: 0-98 days), with 11.5% (n = 164,093) reporting events that occurred at least one year after administration. TTE and fold change analysis captured historical cases of late-onset events, while generating an additional less-explored list of events. The results for tumor necrosis factor (TNF) inhibitors were compared using the NHIS dataset. CONCLUSION: Our study provides a comprehensive analysis of the FAERS dataset, focusing on TTE data. Periodic summarization of reports would be helpful in monitoring the late-onset events.

Understanding the biases to sepsis surveillance and quality assurance caused by inaccurate coding in administrative health data.

PURPOSE: Timely and accurate data on the epidemiology of sepsis are essential to inform policy decisions and research priorities. We aimed to investigate the validity of inpatient administrative health data (IAHD) for surveillance and quality assurance of sepsis care. METHODS: We conducted a retrospective validation study in a disproportional stratified random sample of 10,334 inpatient cases of age ≥ 15 years treated in 2015-2017 in ten German hospitals. The accuracy of coding of sepsis and risk factors for mortality in IAHD was assessed compared to reference standard diagnoses obtained by a chart review. Hospital-level risk-adjusted mortality of sepsis as calculated from IAHD information was compared to mortality calculated from chart review information. RESULTS: ICD-coding of sepsis in IAHD showed high positive predictive value (76.9-85.7% depending on sepsis definition), but low sensitivity (26.8-38%), which led to an underestimation of sepsis incidence (1.4% vs. 3.3% for severe sepsis-1). Not naming sepsis in the chart was strongly associated with under-coding of sepsis. The frequency of correctly naming sepsis and ICD-coding of sepsis varied strongly between hospitals (range of sensitivity of naming: 29-71.7%, of ICD-diagnosis: 10.7-58.5%). Risk-adjusted mortality of sepsis per hospital calculated from coding in IAHD showed no substantial correlation to reference standard risk-adjusted mortality (r = 0.09). CONCLUSION: Due to the under-coding of sepsis in IAHD, previous epidemiological studies underestimated the burden of sepsis in Germany. There is a large variability between hospitals in accuracy of diagnosing and coding of sepsis. Therefore, IAHD alone is not suited to assess quality of sepsis care.

Patterns of utilization and cost of healthcare services and pharmacotherapy among patients with drug-resistant epilepsy during the two-year period before neurostimulation: A descriptive analysis of the journey to implantation based on analyses of a large United States healthcare claims database.

OBJECTIVE: To conduct a descriptive assessment of patterns of utilization and cost of healthcare services and pharmacotherapies among patients with drug-resistant epilepsy (DRE) before neurostimulator implantation. METHODS: Using a large United States healthcare claims database, we identified all patients with DRE who were implanted with neurostimulators between January 1, 2012, and December 31, 2019. Patients without an epilepsy diagnosis on their implantation date were excluded, as were those without (1) anti-seizure medication (ASM) dispenses within 12 months of implantation date, and (2) continuous enrollment for the 24-month period before this date. Demographic and clinical characteristics were assessed over the two-year period before implantation, as were patterns of utilization and cost of healthcare services and pharmacotherapy. Care was assessed as all-cause or epilepsy-related, with the latter defined as all medical (inpatient and outpatient) care resulting in diagnoses of epilepsy and all ASM dispenses. RESULTS: Eight hundred sixty patients met all selection criteria. Among these patients, comorbidities were common, including depression (27%), anxiety (30%), and learning disabilities (25%). Fifty-nine percent of patients had ≥1 all-cause hospitalizations; 57% had ≥1 epilepsy-related admissions. Patients averaged 8.6 epilepsy-related visits to physicians' offices, including 5.1 neurologist visits. Mean all-cause and epilepsy-related healthcare costs during the pre-implantation period were $123,500 and $91,995, respectively; corresponding median values were $74,567 and $53,029. Median monthly all-cause healthcare costs increased by 138% during the 24-month period (from $1,042 to $2,481 in the month prior to implantation); median epilepsy-related costs, by 290% (from $383 to $1,492). CONCLUSIONS: The two-year period before neurostimulator implantation is a long and costly journey. Estimates likely minimize the burden experienced during this period, given that seizure frequency and severity-and corresponding impacts on quality of life-were unavailable in these data. Further research is needed to understand the clinical, economic, and psychological impact of the time between DRE onset and implantation among qualifying patients.

COVID-19 severity scale for claims data research.

OBJECTIVE: To create and validate a methodology to assign a severity level to an episode of COVID-19 for retrospective analysis in claims data. DATA SOURCE: Secondary data obtained by license agreement from Optum provided claims records nationally for 19,761,754 persons, of which, 692,094 persons had COVID-19 in 2020. STUDY DESIGN: The World Health Organization (WHO) COVID-19 Progression Scale was used as a model to identify endpoints as measures of episode severity within claims data. Endpoints used included symptoms, respiratory status, progression to levels of treatment and mortality. DATA COLLECTION/EXTRACTION METHODS: The strategy for identification of cases relied upon the February 2020 guidance from the Centers for Disease Control and Prevention (CDC). PRINCIPAL FINDINGS: A total of 709,846 persons (3.6%) met the criteria for one of the nine severity levels based on diagnosis codes with 692,094 having confirmatory diagnoses. The rates for each level varied considerably by age groups, with the older age groups reaching higher severity levels at a higher rate. Mean and median costs increased as severity level increased. Statistical validation of the severity scales revealed that the rates for each level varied considerably by age group, with the older ages reaching higher severity levels (p < 0.001). Other demographic factors such as race and ethnicity, geographic region, and comorbidity count had statistically significant associations with severity level of COVID-19. CONCLUSION: A standardized severity scale for use with claims data will allow researchers to evaluate episodes so that analyses can be conducted on the processes of intervention, effectiveness, efficiencies, costs and outcomes related to COVID-19.

Epidemiology and Risk Factors of Clostridioides difficile Infections in Germany: A Health Claims Data Analysis.

INTRODUCTION: Clostridioides difficile infection (CDI) is increasingly recognized as a public health threat at the community level in addition to being one of the most common causes of healthcare-associated infections. In Germany, the epidemiology of CDI is primarily informed by national hospital-based CDI surveillance. We used health claims data from Germany to obtain valuable insights on population-level disease burden and risk factors for CDI. METHODS: This was a retrospective cohort study using a representative sample from the InGef research database. Overall and age- and sex-stratified CDI incidence rates were estimated for German adults from 2013 to 2017 using different case definitions (i.e., main, broad, strict), and further stratified by setting (inpatient versus outpatient). Risk factors for CDI were assessed for the 2013-2016 period. RESULTS: The CDI incidence rate was high but declined by 15.3% from 2013 [141 (95% confidence interval, CI 137-145) cases/100,000 person-years] to 2017 [120 (95% CI 116-123)]. Annual CDI incidence rates were higher in female patients and the elderly. The most important risk factors for CDI were chronic inflammatory bowel disease [odds ratio (OR) 4.7, 95% CI 4.0-5.5], chemotherapy (OR 4.7, 95% CI 4.1-5.2), chronic kidney disease (OR 2.9, 95% CI 2.6-3.3), and ciprofloxacin receipt (OR 2.6, 95% CI 2.4-2.8). CONCLUSIONS: Despite prevention strategies leading to declining incidence, CDI remains an important public health threat in Germany, with a high burden in the hospital setting and an outpatient epidemiology that is poorly understood. These findings, which are relevant both regionally and globally, can be used as a basis for further research on the full burden of CDI in Germany.

Adverse events in anesthesia: Analysis of claims against anesthesiologists affiliated to an insurance fund in Colombia. Cross-sectional study / Eventos adversos en anestesia: Análisis de las reclamaciones contra anestesiólogos afiliados a un fondo de aseguramiento en Colombia. Estudio de corte transversal

Abstract Introduction: Prevention, identification, analysis and reduction of adverse events (AEs) are all activities designed to increase safety of care in the clinical setting. Closed claims reviews are a strategy that allows to identify patient safety issues. This study analyzes adverse events resulting in malpractice lawsuits against anesthesiologists affiliated to an insurance fund in Colombia between 2013-2019. Objective: To analyze adverse events in closed medicolegal lawsuits against anesthesiologists affiliated to an insurance fund between 2013-2019. Methods: Cross-sectional observational study. Convenience sampling was used, including all closed claims in which anesthesiologists affiliated to an insurance fund in Colombia were sued during the observation period. Variables associated with the occurrence of AEs were analyzed. Results: Overall, 71 claims were analyzed, of which 33.5% were due to anesthesia-related AEs. Adverse events were found more frequently among ASA I-II patients (78.9%), and in surgical procedures (95.8%). The highest number of adverse events occurred in plastic surgery (29.6%); the event with the highest proportion was patient death (43.7%). Flaws in clinical records and failure to comply with the standards were found in a substantial number of cases. Conclusions: When compared with a previously published study in the same population, an increase in ethical, disciplinary and administrative claims was found, driven by events not directly related to anesthesia. Most of the anesthesia-related events occurred in the operating room during surgical procedures in patients and procedures categorized as low risk, and most of them were preventable.

Resumen Introducción: La prevención, identificación, análisis y reducción de los eventos adversos (EA), son actividades direccionadas a incrementar la seguridad de la atención en el entorno clínico. El estudio de los casos cerrados es una estrategia que permite identificar problemas relacionados con la seguridad del paciente. En este estudio se analizan eventos adversos conducentes a procesos medicolegales cerrados contra anestesiólogos afiliados a un fondo de aseguramiento en Colombia entre 2013-2019. Objetivo: Analizar los eventos adversos en procesos medicolegales cerrados de anestesiólogos afiliados a un fondo de aseguramiento entre 2013-2019. Métodos: Estudio observacional de corte transversal. Se analizó una muestra a conveniencia en la que se incluyeron todos los casos cerrados en los que anestesiólogos afiliados a un fondo de aseguramiento en Colombia fueron objeto de reclamaciones en el período de observación. Se analizaron variables relacionadas con la presentación del EA. Resultados: Se analizaron 71 reclamaciones, de las cuales el 33,5 % fueron por EA relacionado con anestesia. Los eventos adversos se encontraron con mayor frecuencia en pacientes ASA I-II (78,9 %), y en procedimientos quirúrgicos (95,8 %). El mayor número de eventos adversos se presentó en cirugía plástica (29,6 %); el evento de mayor proporción fue el fallecimiento del paciente (43,7 %). En un importante número de casos se demostró fallos en el registro de la historia clínica e incumplimiento de normas. Conclusiones: En relación con un estudio publicado previamente en la misma población, se encuentra un incremento en los procesos éticos, disciplinarios y administrativos, motivados por eventos sin una relación directa con el acto anestésico. La mayoría de eventos adversos relacionados con anestesia se presentan en procedimientos quirúrgicos, en salas de cirugía, en pacientes y procedimientos catalogados como de bajo riesgo, y son en su mayoría prevenibles.

Comparison of Operational Definition of Type 2 Diabetes Mellitus Based on Data from Korean National Health Insurance Service and Korea National Health and Nutrition Examination Survey.

BACKGROUND: We evaluated the validity and reliability of the operational definition of type 2 diabetes mellitus (T2DM) based on the Korean National Health Insurance Service (NHIS) database. METHODS: Adult subjects (≥40 years old) included in the Korea National Health and Nutrition Examination Survey (KNHANES) from 2008 to 2017 were merged with those from the NHIS health check-up database, producing a cross-sectional dataset. We evaluated the sensitivity, specificity, accuracy, and agreement of the NHIS criteria for defining T2DM by comparing them with the KNHANES criteria as a standard reference. RESULTS: In the study population (n=13,006), two algorithms were devised to determine from the NHIS dataset whether the diagnostic claim codes for T2DM were accompanied by prescription codes for anti-diabetic drugs (algorithm 1) or not (algorithm 2). Using these algorithms, the prevalence of T2DM was 14.9% (n=1,942; algorithm 1) and 20.8% (n=2,707; algorithm 2). Good reliability in defining T2DM was observed for both algorithms (Kappa index, 0.73 [algorithm 1], 0.63 [algorithm 2]). However, the accuracy (0.93 vs. 0.89) and specificity (0.96 vs. 0.90) tended to be higher for algorithm 1 than for algorithm 2. The validity (accuracy, ranging from 0.91 to 0.95) and reliability (Kappa index, ranging from 0.68 to 0.78) of defining T2DM by NHIS criteria were independent of age, sex, socioeconomic status, and accompanied hypertension or dyslipidemia. CONCLUSION: The operational definition of T2DM based on population-based NHIS claims data, including diagnostic codes and prescription codes, could be a valid tool to identify individuals with T2DM in the Korean population.

Incidence of gastrointestinal perforation associated with bevacizumab in combination with neoadjuvant chemotherapy as first-line treatment of advanced ovarian, fallopian tube, or peritoneal cancer: analysis of a Japanese healthcare claims database.

OBJECTIVE: To assess the incidence of bevacizumab-associated gastrointestinal (GI) perforation during first-line treatment of patients with ovarian, fallopian tube, or peritoneal cancer receiving neoadjuvant chemotherapy (NAC) in Japanese real-world clinical practice. METHODS: A retrospective study was conducted using a healthcare claims database owned by Medical Data Vision Co., Ltd. (study period, 2008-2020). Patients who initiated first-line treatment of ovarian, fallopian tube, or peritoneal cancer were identified and divided into NAC and primary debulking surgery (PDS) groups. The incidence of bevacizumab-associated GI perforation was compared within the NAC group and between the groups. RESULTS: Paclitaxel + carboplatin (TC) was most commonly used as first-line treatment (39.5% and 59.6% in the NAC and PDS groups, respectively). TC + bevacizumab was used in 9.3% and 11.6% of patients in the NAC and PDS groups, respectively. In the NAC group receiving TC, the proportion of patients with risk factors for GI perforation was lower among patients with versus without concomitant bevacizumab. The incidence of GI perforation in the NAC group was 0.38% (1/266 patients) in patients receiving TC + bevacizumab and 0.18% (2/1,131 patients) in patients receiving TC without bevacizumab (risk ratio=2.13; 95% confidence interval [CI]=0.19 to 23.36; risk difference=0.20; 95% CI=-0.58 to 0.97). None of the 319 patients in the PDS group receiving TC + bevacizumab had GI perforation. CONCLUSION: No notable increase was observed in GI perforation associated with NAC containing bevacizumab. We conclude that bevacizumab is prescribed with sufficient care in Japan to avoid GI perforation.

Oxaliplatin- versus cisplatin-based regimens for elderly individuals with advanced gastric cancer: a retrospective cohort study.

BACKGROUND: Whether an oxaliplatin- or cisplatin-based regimen is more optimal for treating elderly patients with advanced gastric cancer, in terms of survival and adverse events remains unclear. METHODS: In this retrospective cohort study, we used stacked claim data of residents in two Japanese prefectures collected between 2012 and 2017 and between 2014 and 2019, respectively. We included patients with advanced gastric cancer who received oxaliplatin-based and cisplatin-based regimens. Propensity score overlap weighting analysis was conducted to compare overall survival and granulocyte colony-stimulating factor use during chemotherapy between the oxaliplatin- and cisplatin-based treatment groups. RESULTS: A total of 242 patients were included in the study. After propensity score weighting, Kaplan-Meier analysis showed no significant differences in overall survival between the two groups (hazard ratio: 1.13; 95% confidence interval, 0.60-2.11; p =  0.70). However, the proportion of patients receiving granulocyte colony-stimulating factor was significantly lower in the oxaliplatin group than in the cisplatin group (2.3% vs.22.7%, p = 0.01). CONCLUSIONS: Survival did not differ significantly between elderly patients with advanced gastric cancer treated with oxaliplatin-based versus cisplatin-based regimens; however, the oxaliplatin-based regimen was associated with less granulocyte colony-stimulating factor use.

Effects of a New York Medicaid Care Management Program on Substance Use Disorder Treatment Services and Medicaid Spending: Implications for Defining the Target Population.

AIMS: We examined the effects of a statewide New York (NY) care management (CM) program for substance use disorder (SUD), Managed Addiction Treatment Services (MATS), on SUD treatment services' utilization and spending among patients with a recent history of high Medicaid spending and among those for whom a predictive algorithm indicates a higher probability of outlier spending in the following year. METHODS: We applied difference-in-difference analyses with propensity score matching using NY Medicaid claims data and a state registry of SUD-treatment episodes from 2006 to 2009. A total of 1263 CM enrollees with high SUD treatment spending (>$10K) in the prior year and a matched comparison group were included in the analysis. Crisis care utilization for SUD (detoxification and hospitalizations), outpatient SUD treatment, and Medicaid spending were examined over 12 months among both groups. CM effects among predicted high-future-spending patients (HFS) were also analyzed. RESULTS: CM increased outpatient SUD treatment visits by approximately 10.5 days (95% CI = 0.9, 20.0). CM crisis care and spending outcomes were not statistically different from comparison since both conditions had comparable pre-post declines. Conversely, CM significantly reduced SUD treatment spending by approximately $955 (95% CI = -1518, -391) and reduced days of detox utilization by about 1.0 days (95% CI = -1.9, -0.1) among HFS. CONCLUSION: Findings suggest that CM can reduce SUD treatment spending and utilization when targeted at patients with a greater likelihood of high future spending, indicating the potential value of predictive models to select CM patients.

Contribution of hypertriglyceridemia to ischemic cardiovascular disease in Korean women: A nationwide population-based study.

BACKGROUND: The independent effect of serum triglyceride levels on the development of ischemic cardiovascular disease (CVD) remains inconclusive, which might be due to heterogeneity among study populations. OBJECTIVE: To evaluate the effect of triglyceride levels on ischemic CVD and mortality in Korean women, with stratification according to the menopausal status, diabetes mellitus, or low-density lipoprotein cholesterol levels (LDL-C). METHODS: We retrospectively investigated Korean women aged 40-69 years who underwent health examination in 2009 and were followed up until 2018 using nationwide claim data. The subjects were divided according to triglyceride quartiles (Q): Q1 <70 mg/dL, Q2 71-99 mg/dL, Q3 100-142 mg/dL, and Q4 ≥143 mg/dL. The primary outcome was the incidence of CVD defined as a composite of myocardial infarction and ischemic stroke. RESULTS: Among 2,208,347 women, primary outcome occurred in 62,255 (2.8%) subjects. As triglyceride levels increased, the event rate of primary outcome increased in both premenopausal and postmenopausal women in the fully adjusted model (hazard ratio [HR] per 1 Q, 1.10 [95% confidence interval (CI), 1.08-1.12] and 1.08 [95% CI, 1.07-1.09], respectively), which was maintained on further stratification according to diabetes or LDL-C (P<0.05 in all). Higher triglyceride levels were more significantly associated with the primary outcome, MI, and stroke risk among women with optimal non-high-density lipoprotein cholesterol levels (non-HDL-C) <130 mg/dL, but only weakly with stroke for women with non-optimal non-HDL-C. CONCLUSION: Triglyceride is an independent prognosticator in the development of ischemic CVD in Korean women aged 40-69 years.

Anesthesia-related care dissatisfaction: a cohort historical study to reveal related risks.

BACKGROUND: Most previous reports have used questionnaires to investigate patient satisfaction regarding anesthesia-related care. We retrospectively investigated the dissatisfaction rate for anesthesia and the contributing factors for it using a questionnaire including anesthesia-related adverse events and a simplified patient satisfaction scale. METHODS: This is a retrospective review of an institutional registry containing 21,606 anesthesia cases. We conducted multivariate logistic analysis in 9,429 patients using the incidence of dissatisfaction as a dependent variable and other covariates, including items of anesthesia registry and a postoperative questionnaire, as independent variables to investigate factors significantly associated with the risk of dissatisfaction with anesthesia. RESULTS: In the study population, 549 patients rated the anesthesia service as dissatisfactory. Multivariate analysis identified the preoperative presence of coexisting disease [odds ratio (OR), 1.29; 95% confidence interval (CI), 1.05-1.59], combination of regional anesthesia (OR, 1.44; 95% CI, 1.10-1.88), self-reported awareness (OR, 1.99; 95% CI, 1.29-3.06), postoperative nausea and vomiting (PONV) (OR, 1.54; 95% CI, 1.25-1.90), occurrence of nightmares (OR, 1.96; 95% CI, 1.52-2.53), and the number of days taken to visit a postoperative anesthesia consultation clinic (OR, 1.01; 95% CI, 1.00-1.02) to be independently associated with dissatisfaction with anesthesia service. CONCLUSIONS: Patients with coexisting disease, undergoing a combination of regional anesthesia, with self-reported awareness, experiencing PONV, suffering from nightmares, and who took longer to visit a postoperative anesthesia consultation clinic tended to rate our anesthesia service as dissatisfactory. Although the exact reasons for the factors contributing to dissatisfaction are unknown, this study suggests that there is room to improve our service.

Comparability of Event Adjudication Versus Administrative Billing Claims for Outcome Ascertainment in the DAPT Study: Findings From the EXTEND-DAPT Study.

BACKGROUND: Data from administrative claims may provide an efficient alternative for end point ascertainment in clinical trials. However, it is uncertain how well claims data compare to adjudication by a clinical events committee in trials of patients with cardiovascular disease. METHODS: We matched 1336 patients ≥65 years old who received percutaneous coronary intervention in the DAPT (Dual Antiplatelet Therapy) Study with the National Cardiovascular Data Registry CathPCI Registry linked to Medicare claims as part of the EXTEND (Extending Trial-Based Evaluations of Medical Therapies Using Novel Sources of Data) Study. Adjudicated trial end points were compared with Medicare claims data with International Classification of Diseases, Ninth Revision codes from inpatient hospitalizations using time-to-event analyses, sensitivity, specificity, positive predictive value, negative predictive value, and kappa statistics. RESULTS: At 21-month follow-up, the cumulative incidence of major adverse cardiovascular and cerebrovascular events (combined mortality, myocardial infarction, and stroke) was similar between trial-adjudicated events and claims data (7.9% versus 7.2%, respectively; P=0.50). Bleeding rates were lower using adjudicated events compared with claims (5.0% versus 8.6%, respectively; P<0.001). The sensitivity and positive predictive value of comprehensive billing codes for identifying adjudicated events were 65.6% and 85.7% for myocardial infarction, 61.5% and 47.1% for stroke, and 76.8% and 39.3% for bleeding, respectively. Specificity and negative predictive value for all outcomes ranged from 93.7% to 99.5%. All 39 adjudicated deaths were identified using Medicare data. Kappa statistics assessing agreement between events for myocardial infarction, stroke, and bleeding were 0.73, 0.52, and 0.49, respectively. CONCLUSIONS: Claims data had moderate agreement with adjudication for myocardial infarction and poor agreement but high specificity for bleeding and stroke in the DAPT Study. Deaths were identified equivalently. Using claims data in clinical trials could be an efficient way to assess mortality among Medicare patients and may help detect other outcomes, although additional monitoring is likely needed to ensure accurate assessment of events.

Risk of major depressive disorder in Japanese cancer patients: A matched cohort study using employer-based health insurance claims data.

OBJECTIVE: Patients with cancer are at high risk of depression. However, the risk of major depressive disorder (MDD) after cancer diagnosis has not been studied in a population setting in Japan. This cohort study used a Japanese medical claims database to examine time to MDD in cancer patients and the risk of MDD (hazard ratio; HR) compared with matched cancer-free controls. METHODS: Primary endpoint was time to MDD (starting 6 months before cancer diagnosis) in adult (18-74 years) cancer patients; secondary endpoint was time to MDD (6 months before to 12 months after cancer diagnosis) in a matched cohort of cancer patients and cancer-free controls. Multivariate analyses were performed to determine HRs for all cancers and for each cancer site. RESULTS: Of 35 008 cancer patients (mean age, 53.3 years), 2201 (6.3%) were diagnosed with MDD within 66 months. Matched cancer patients (n = 30 372) had an elevated risk of MDD compared with cancer-free controls (n = 303 720; HR [95% confidence interval] 2.96 [2.77-3.16]). MDD risk was highest in patients with multiple cancers, pancreatic cancer, and brain cancer. Compared with middle-aged patients, risk was higher in patients <40 years old and lower in patients ≥65 years old; risk tended to be higher in women than in men. CONCLUSIONS: Compared with cancer-free individuals, Japanese patients with cancer, mostly <65 years old, had an almost threefold higher risk of developing MDD within 12 months of cancer diagnosis. Physicians should watch for MDD in cancer patients and treat when necessary.

Use of Administrative Claims to Assess Outcomes and Treatment Effect in Randomized Clinical Trials for Transcatheter Aortic Valve Replacement: Findings From the EXTEND Study.

BACKGROUND: Whether passively collected data can substitute for adjudicated outcomes to reproduce the magnitude and direction of treatment effect observed in cardiovascular clinical trials is not well known. METHODS: We linked adults ≥65 years of age in the HiR (US CoreValve Pivotal High Risk) and SURTAVI trials (Surgical or Transcatheter Aortic Valve Replacement in Intermediate-Risk Patients) to 100% Medicare inpatient claims, January 1, 2011, to December 31, 2016. Primary (eg, death and stroke) and secondary trial end points were compared across treatment arms (eg, transcatheter aortic valve replacement [TAVR] versus surgical aortic valve replacement [SAVR]) using trial-adjudicated outcomes versus outcomes derived from claims at 1 year (HiR) or 2 years (SURTAVI). RESULTS: Among 600 linked HiR participants (linkage rate, 80.0%), the rate of the trial's primary end point of all-cause mortality occurred in 13.7% of patients receiving TAVR and 16.4% of patients receiving SAVR at 1 year by using both trial data (hazard ratio, 0.84 [95% CI, 0.65-1.09]; P=0.33) and claims data (hazard ratio, 0.86 [95% CI, 0.66-1.11]; P=0.34; interaction P value=0.80). Noninferiority of TAVR relative to SAVR was seen by using both trial- and claims-based outcomes (Pnoninferiority<0.001 for both). Among 1005 linked SURTAVI trial participants (linkage rate, 60.5%), the trial's primary end point was 12.9% for TAVR and 13.1% for SAVR using trial data (hazard ratio, 1.08 [95% CI, 0.79-1.48]; P=0.90), and 11.3% for TAVR and 12.5% for SAVR patients using claims data (hazard ratio, 1.02 [95% CI, 0.73-1.41]; P=0.58; interaction P value=0.89). TAVR was noninferior to SAVR when compared using both trial and claims (Pnoninferiority<0.001 for both). Rates of procedural secondary outcomes (eg, aortic valve reintervention, pacemaker rates) were more closely concordant between trial and claims data than nonprocedural outcomes (eg, stroke, bleeding, cardiogenic shock). CONCLUSIONS: In the HiR and SURTAVI trials, ascertainment of trial primary end points using claims reproduced both the magnitude and direction of treatment effect in comparison with adjudicated event data, but nonfatal and nonprocedural secondary outcomes were not as well reproduced. Use of claims to substitute for adjudicated outcomes in traditional trial treatment comparisons may be valid and feasible for all-cause mortality and certain procedural outcomes but may be less suitable for other end points.

Impact of Cardiac Implantable Electronic Device Infection: A Clinical and Economic Analysis of the WRAP-IT Trial.

BACKGROUND: Current understanding of the impact of cardiac implantable electronic device (CIED) infection is based on retrospective analyses from medical records or administrative claims data. The WRAP-IT (Worldwide Randomized Antibiotic Envelope Infection Prevention Trial) offers an opportunity to evaluate the clinical and economic impacts of CIED infection from the hospital, payer, and patient perspectives in the US healthcare system. METHODS: This was a prespecified, as-treated analysis evaluating outcomes related to major CIED infections: mortality, quality of life, disruption of CIED therapy, healthcare utilization, and costs. Payer costs were assigned using medicare fee for service national payments, while medicare advantage, hospital, and patient costs were derived from similar hospital admissions in administrative datasets. RESULTS: Major CIED infection was associated with increased all-cause mortality (12-month risk-adjusted hazard ratio, 3.41 [95% CI, 1.81-6.41]; P<0.001), an effect that sustained beyond 12 months (hazard ratio through all follow-up, 2.30 [95% CI, 1.29-4.07]; P=0.004). Quality of life was reduced (P=0.004) and did not normalize for 6 months. Disruptions in CIED therapy were experienced in 36% of infections for a median duration of 184 days. Mean costs were $55 547±$45 802 for the hospital, $26 867±$14 893, for medicare fee for service and $57 978±$29 431 for Medicare Advantage (mean hospital margin of -$30 828±$39 757 for medicare fee for service and -$6055±$45 033 for medicare advantage). Mean out-of-pocket costs for patients were $2156±$1999 for medicare fee for service, and $1658±$1250 for medicare advantage. CONCLUSIONS: This large, prospective analysis corroborates and extends understanding of the impact of CIED infections as seen in real-world datasets. CIED infections severely impact mortality, quality of life, healthcare utilization, and cost in the US healthcare system. Registration: URL: https://www.clinicaltrials.gov Unique Identifier: NCT02277990.

Mapping from the International Classification of Diseases (ICD) 9th to 10th Revision for Research in Biologics and Biosimilars Using Administrative Healthcare Data.

PURPOSE: The Centers for Medicare and Medicaid Services (CMS) mandated the transition from ICD-9 to ICD-10 codes on October 1, 2015. Postmarketing surveillance of newly marketed drugs, including novel biologics and biosimilars, requires a robust approach to convert ICD-9 to ICD-10 codes for study variables. We examined three mapping methods for health conditions (HCs) of interest to the Biologics and Biosimilars Collective Intelligence Consortium (BBCIC) and compared their prevalence. METHODS: Using CMS General Equivalence Mappings, we applied forward-backward mapping (FBM) to 108 HCs and secondary mapping (SM) and tertiary mapping (TM) to seven preselected HCs. A physician reviewed the mapped ICD-10 codes. The prevalence of the 108 HCs defined by ICD-9 versus ICD-10 codes was examined in BBCIC's distributed research network (September 1, 2012 to March 31, 2018). We visually assessed prevalence trends of these HCs and applied a threshold of 20% level change in ICD-9 versus ICD-10 prevalence. RESULTS: Nearly four times more ICD-10 codes were mapped by SM and TM than FBM, but most were irrelevant or nonspecific. For conditions like myocardial infarction, SM or TM did not generate additional ICD-10 codes. Through visual inspection, one-fifth of the HCs had inconsistent ICD-9 versus ICD-10 prevalence trends. 13% of HCs had a level change greater than +/-20%. CONCLUSION: FBM is generally the most efficient way to convert ICD-9 to ICD-10 codes, yet manual review of converted ICD-10 codes is recommended even for FBM. The lack of existing guidance to compare the performance of ICD-9 with ICD-10 codes led to challenges in empirically determining the quality of conversions.