Dataset Information

Data-driven identification of co-morbidities associated with rheumatoid arthritis in a large US health plan claims database.

ABSTRACT:

Background

In drug development, it is important to have an understanding of the full spectrum of co-morbidities to be expected in the group of patients with the disease of interest. It is usually a challenge to identify the less common events associated with the target disease, even if these events are severe. The purpose of this study is to identify co-morbidities associated with rheumatoid arthritis (RA) as compared with a control group, using a large health care database.

Methods

Marketscan US claims database was used for this retrospective cohort study. Selected were records of persons aged at least 16 Y with at least two claims for RA, and with active insurance status on June 30, 2007. The control group had at least two claims for eczema/dermatitis. Controls were matched by age, gender and insurance status (Medicare or not). All co-morbidities with an ICD9 diagnostic code were identified in the RA and control groups, during a one-year window. Relative risks (RRs) were calculated. Diagnoses were rank-ordered by magnitude of RR. Codes covering RA and arthropathy were excluded. In order to get stable estimates, rank-ordering was performed for diagnoses occurring in at least 20 persons in the control group.

Results

Records were selected of 62,681 persons with RA (mean age was 59.0 Y, with 73.8% female, Medicare-covered 35%). A total of 6,897 different ICD9 diagnostic codes were recorded, with 2,220 codes in at least 20 persons of the control group [listed with Relative Risk]. Apart from joint/bone related conditions, strong associations with RA (RR > 3) were found for Adverse effect medicinal and biological substance not elsewhere classified, Unspecified adverse effect drug properly administered, Idiopathic fibrosing alveolitis, Osteomyelitis, Immune deficiency, Elevated sedimentation rate, Tuberculin test reaction abnormal or positive, Anemia and Cushing syndrome.

Conclusions

Data on a large number (> 60,000) of patients with a diagnosis of RA were used to analyze and to list a large number (> 2,000) of co-morbidities. Rank-ordering of RRs of diagnostic codes is a tool to identify quickly many conditions associated with RA.

SUBMITTER: Petri H

PROVIDER: S-EPMC2987972 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundOlder studies uncovered an increased risk of cancer in patients with rheumatoid arthritis between 10% and 30% compared to the general population, with a lack of data concerning infrequent cancers. In recent year, major therapeutic breakthroughs might have affected this risk of cancer by mitigating disease activity or on the contrary by impairing antitumoral immune response. The objectives of this study are to compare cancer risk in patients with treated rheumatoid arthritis to the general population, in all treated patients and according to treatment exposure.MethodsThis is a nationwide population-based study within the French national claims database "Système National des Données de Santé" (SNDS) between January 1st 2010 and December 31st 2020, to estimate the age and sex-standardized incidence ratios of cancer (all sites and site specific) of treated rheumatoid arthritis patients, with the French population as reference (by use of the French Network of Population-Based Cancer Registries [FRANCIM]).FindingsDuring the study period, 257,074 treated patients with rheumatoid arthritis contributed to a total of 2,098,238 person-years for the main analysis. The all-cancer risk was increased in rheumatoid arthritis patients, with a SIR (Standardized Incidence Ratio) of 1.20 (95% CI [1.17-1.23]). This risk was increased particularly for lung (SIR 1.41, 95% CI [1.36-1.46], bladder (SIR 2.38 95% CI [2.25-2.51]), cervix (SIR 1.80, 95% CI [1.62-2.01]), prostate (SIR 1.08, 95% CI [1.04, 1.13]) cancers, melanoma (SIR 1.37, 95% CI [1.29-1.46]), diffuse large B cell lymphoma (SIR 1.79, 95% CI [1.63-1.96], multiple myeloma (SIR 1.42, 95% CI [1.27-1.60]) and Hodgkin's lymphoma (SIR 2.73, 95% CI [2.31-3.23]). Some cancers were less frequent than in the general population such as pancreatic (SIR 0.90, 95% CI [0.83-0.97]) as well as breast and endometrial cancers (SIR 0.91, 95% CI [0.88-0.94] and SIR 0.77, 95% CI [0.71-0.84] respectively). Although we observed a modest but significant relative increase of all-cancer risk over-time in rheumatoid arthritis patients, there was a trend towards a decrease in risk of non-Hodgkin's lymphoma. Patients treated with rituximab were the patients displaying the highest risk of cancer.InterpretationCompared to the general population, treated rheumatoid arthritis patients were at greater risk of all-cancer and some site specific cancers, except for breast, pancreatic and endometrial cancers which were less frequent than in the general population.FundingThis work was supported by unrestricted grants from the InCA (national institute against cancer) and AP-HP (Assistance Publique des Hôpitaux de Paris).

Project description:Repository corticotropin injection (RCI) is indicated as adjunctive, short-term therapy in selected patients with RA. To characterize RCI users and identify predictors of RCI initiation in RA, we compared preindex characteristics, treatment patterns, comorbidities, healthcare resource utilization (HCRU), and costs for patients who had initiated RCI treatment (RCI cohort) versus patients with no RCI claims and ≥ 1 targeted synthetic or biologic disease-modifying antirheumatic drugs (ts/bDMARD) claim (non-RCI ts/bDMARD cohort). We analyzed pharmacy and medical claims data from a large commercial and Medicare supplemental administrative database. Inclusion criteria were age ≥ 18 years, ≥ 1 inpatient or ≥ 2 outpatient claims with RA diagnosis (January 1, 2007-December 31, 2018), and 12-month continuous medical and pharmacy coverage preindex. Results from baseline cohort comparisons informed multiple logistic regression analysis. Compared with the non-RCI ts/bDMARD cohort (n = 162,065), the RCI cohort (n = 350) had a greater proportion of patients with higher Charlson comorbidity index (CCI) scores; higher mean claims-based index of RA severity and CCI scores; greater frequency of almost all comorbidities; higher use of nontraditional DMARDs, glucocorticoids, and opioids; higher all-cause HCRU; and higher medical and total costs. By multivariable analysis, the most significant predictors of RCI initiation were intermittent glucocorticoid use at any dose (odds ratio [OR] 1.67), extended-use glucocorticoids at medium (OR 2.03) and high doses (OR 2.99), nontraditional DMARD use (OR 2.09), anemia (OR 1.39), and renal disease (OR 2.45). Before RCI initiation, patients had more severe RA, higher comorbidity burden, greater use of glucocorticoids and opioids, and higher HCRU compared with non-RCI initiators. The most significant predictors for starting RCI in patients with RA were intermittent use of glucocorticoids at any dose, extended-use high-dose glucocorticoids, use of nontraditional DMARDs, and comorbid anemia and renal disease.

Project description:IntroductionThe persistence of golimumab (GLM) treatment in Japanese patients with rheumatoid arthritis (RA) has been evaluated previously, but evidence of long-term real-world use is lacking. This study assessed the long-term persistence of GLM use, its influencing factors, and impact of prior medications in patients with RA in actual clinical practice in Japan.MethodsThis is a retrospective cohort study of patients with RA using data from a hospital insurance claims database in Japan. The identified patients were stratified as only GLM treatment (naïve), had one biological disease-modifying anti-rheumatic drug (bDMARD)/Janus kinase (JAK) inhibitor treatment prior to GLM [switch (1)] and had at least two bDMARDs/JAK prior to GLM treatment [switch (≥ 2)]. Patient characteristics were evaluated using descriptive statistics. Kaplan-Meier survival and Cox regression methods were used to analyze GLM persistence at 1, 3, 5, and 7 years and the associated factors. Treatment differences were compared using a log-rank test.ResultsGLM persistence rate in the naïve group was 58.8%, 32.1%, 21.4%, and 11.4% at 1, 3, 5, and 7 years, respectively. Overall persistence rates in the naïve group were higher than in switch groups. Higher GLM persistence was observed among patients aged 61-75 years and those concomitantly using methotrexate (MTX). Also, women were less likely to discontinue treatment compared to men. Higher Charlson Comorbidity Index score, initial GLM dose of 100 mg, and switch from bDMARDs/JAK inhibitor were related to a lower persistence rate. As a prior medication, infliximab showed the longest persistence for subsequent GLM, and using this as a reference, tocilizumab, sarilumab, and tofacitinib subgroups had significantly shorter persistence, respectively (p = 0.001, 0.025, 0.041).ConclusionThis study presents the long-term real-world results for persistence of GLM and its potential determinants. These most recent and long-term observations demonstrated that GLM and other bDMARDs continue to benefit patients with RA in Japan.