The Accuracy of Administrative Data Diagnoses of Systemic Autoimmune Rheumatic Diseases

2011 ◽  
Vol 38 (8) ◽  
pp. 1612-1616 ◽  
Author(s):  
SASHA BERNATSKY ◽  
TINA LINEHAN ◽  
JOHN G. HANLY
Keyword(s):  
Rheumatic Disease ◽  
Administrative Data ◽  
Rheumatic Diseases ◽  
Lupus Erythematosus ◽  
Population Based ◽  
Administrative Database ◽  
Case Definitions ◽  
Autoimmune Rheumatic Diseases ◽  
Specificity And Sensitivity ◽  
Clinical Records

Objective.To examine the validity of case definitions for systemic autoimmune rheumatic diseases [SARD; systemic lupus erythematosus (SLE), systemic sclerosis (SSc), myositis, Sjögren’s syndrome, vasculitis, and polymyalgia rheumatica] based on administrative data, compared to rheumatology records.Methods.A list of rheumatic disease diagnoses was generated from population-based administrative billing and hospitalization databases. Subjects who had been seen by an arthritis center rheumatologist were identified, and the medical records reviewed.Results.We found that 844 Nova Scotia residents had a diagnosis of one of the rheumatic diseases of interest, based on administrative data, and had had ≥ 1 rheumatology assessment at a provincial arthritis center. Charts were available on 824 subjects, some of whom had been identified in the administrative database with > 1 diagnosis. Thus a total of 1136 diagnoses were available for verification against clinical records. Of the 824 subjects, 680 (83%) had their administrative database diagnoses confirmed on chart review. The majority of subjects who were “false-positive” for a given rheumatic disease on administrative data had a true diagnosis of a similar rheumatic disease. Most sensitivity estimates for specific administrative data-based case definitions were > 90%, although for SSc, the sensitivity was 80.5%. The specificity estimates were also > 90%, except for SLE, where the specificity was 72.5%.Conclusion.Although health administrative data may be a valid resource, there are potential problems regarding the specificity and sensitivity of case definitions, which should be kept in mind for future studies.

Systemic Autoimmune Rheumatic Disease Prevalence in Canada: Updated Analyses Across 7 Provinces

2014 ◽  
Vol 41 (4) ◽  
pp. 673-679 ◽  
Author(s):  
Laurel Broten ◽  
J. Antonio Aviña-Zubieta ◽  
Diane Lacaille ◽  
Lawrence Joseph ◽  
John G. Hanly ◽  
...  
Keyword(s):  
Rheumatic Disease ◽  
Lupus Erythematosus ◽  
Latent Class ◽  
Population Based ◽  
Case Definition ◽  
Case Definitions ◽  
Autoimmune Rheumatic Disease ◽  
Primary Sjögren Syndrome ◽  
Physician Billing ◽  
Systemic Autoimmune Rheumatic Disease

Objective.To estimate systemic autoimmune rheumatic disease (SARD) prevalence across 7 Canadian provinces using population-based administrative data evaluating both regional variations and the effects of age and sex.Methods.Using provincial physician billing and hospitalization data, cases of SARD (systemic lupus erythematosus, scleroderma, primary Sjögren syndrome, polymyositis/dermatomyositis) were ascertained. Three case definitions (rheumatology billing, 2-code physician billing, and hospital diagnosis) were combined to derive a SARD prevalence estimate for each province, categorized by age, sex, and rural/urban status. A hierarchical Bayesian latent class regression model was fit to account for the imperfect sensitivity and specificity of each case definition. The model also provided sensitivity estimates of different case definition approaches.Results.Prevalence estimates for overall SARD ranged between 2 and 5 cases per 1000 residents across provinces. Similar demographic trends were evident across provinces, with greater prevalence in women and in persons over 45 years old. SARD prevalence in women over 45 was close to 1%. Overall sensitivity was poor, but estimates for each of the 3 case definitions improved within older populations and were slightly higher for men compared to women.Conclusion.Our results are consistent with previous estimates and other North American findings, and provide results from coast to coast, as well as useful information about the degree of regional and demographic variations that can be seen within a single country. Our work demonstrates the usefulness of using multiple data sources, adjusting for the error in each, and providing estimates of the sensitivity of different case definition approaches.

Epidemiology of pheochromocytoma and paraganglioma: population-based cohort study

2021 ◽  
Vol 184 (1) ◽  
pp. 19-28
Author(s):  
Alexander A Leung ◽  
Janice L Pasieka ◽  
Martin D Hyrcza ◽  
Danièle Pacaud ◽  
Yuan Dong ◽  
...  
Keyword(s):  
Cohort Study ◽  
Administrative Data ◽  
Laboratory Data ◽  
Population Based ◽  
Incidence Rates ◽  
Primary Objective ◽  
Administrative Databases ◽  
Secondary Objective ◽  
True Frequency ◽  
Clinical Records

Objective Despite the significant morbidity and mortality associated with pheochromocytoma and paraganglioma, little is known about their epidemiology. The primary objective was to determine the incidence of pheochromocytoma and paraganglioma in an ethnically diverse population. A secondary objective was to develop and validate algorithms for case detection using laboratory and administrative data. Design Population-based cohort study in Alberta, Canada from 2012 to 2019. Methods Patients with pheochromocytoma or paraganglioma were identified using linked administrative databases and clinical records. Annual incidence rates per 100 000 people were calculated and stratified according to age and sex. Algorithms to identify pheochromocytoma and paraganglioma, based on laboratory and administrative data, were evaluated. Results A total of 239 patients with pheochromocytoma or paraganglioma (collectively with 251 tumors) were identified from a population of 5 196 368 people over a period of 7 years. The overall incidence of pheochromocytoma or paraganglioma was 0.66 cases per 100 000 people per year. The frequency of pheochromocytoma and paraganglioma increased with age and was highest in individuals aged 60–79 years (8.85 and 14.68 cases per 100 000 people per year for males and females, respectively). An algorithm based on laboratory data (metanephrine >two-fold or normetanephrine >three-fold higher than the upper limit of normal) closely approximated the true frequency of pheochromocytoma and paraganglioma with an estimated incidence of 0.54 cases per 100 000 people per year. Conslusion The incidence of pheochromocytoma and paraganglioma in an unselected population of western Canada was unexpectedly higher than rates reported from other areas of the world.

scholarly journals SAT0589 RISK FOR PSYCHIATRIC HOSPITALIZATION FOLLOWING A RHEUMA-RELATED HOSPITALIZATION: RESULTS FROM A CZECH NATIONWIDE, COHORT STUDY

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1253.2-1254
Author(s):  
T. Formánek ◽  
K. Mladá ◽  
M. Husakova
Keyword(s):  
Rheumatoid Arthritis ◽  
Cohort Study ◽  
Ankylosing Spondylitis ◽  
Rheumatic Disease ◽  
Rheumatic Diseases ◽  
Psychiatric Hospitalization ◽  
Population Based ◽  
Index Hospitalization ◽  
Increased Risk ◽  
History Of

Background:Cohort studies using nationwide health registers have shown an increased risk for affective and anxiety disorders in people with ankylosing spondylitis (AS) and rheumatoid arthritis (RA) (1-3). Moreover, a nationwide cohort study demonstrated an increased risk for mental disorders in people with rheumatic diseases (4).Objectives:We aimed to investigate the risk for psychiatric hospitalization following a hospitalization for rheumatic disease.Methods:Using data from the Czech nationwide register of all-cause hospitalizations, we obtained 4 971 individuals hospitalized (index hospitalization) between 2004 and 2012 for rheumatic diseases - RA, spondyloarthritis (including AS, psoriatic arthritis and undifferentiated spondyloarthritis), systemic lupus erythematosus and systemic sclerodermia, with no history of psychiatric and rheuma-related hospitalization in the previous 10 years from the index hospitalization. On these individuals, we randomly matched (on age, gender and year of index hospitalization) controls that were hospitalized in the same time period for a non-rheumatic disease and have no history of psychiatric and rheumatic hospitalization in the last 10 years from their index hospitalization, in the ratio of 1:5. We employed conditional logistic regression for assessing the risk for psychiatric hospitalization in the subsequent 3 years from the index hospitalization. To strengthen our results, we repeated the matching step 100 times and run the analysis on each resulting dataset separately, and pooled the results. The findings are expressed as odds ratios (OR) with 95% confidence intervals (95% CI).Results:We identified an elevated risk for psychiatric (OR = 1.34, 95% CI = 1; 1.78) and for affective disorders (OR = 2.19, 95% CI = 1.17; 4.1) in people hospitalized for rheumatic diseases. We did not find a statistically significant association with organic, psychotic and anxiety disorders.Conclusion:There is an increased risk for experiencing a psychiatric disorder in the period of 3 years after a rheuma-related hospitalization.References:[1]Shen C-C, Hu L-Y, Yang AC, Kuo BI-T, Chiang Y-Y, Tsai S-J. Risk of Psychiatric Disorders following Ankylosing Spondylitis: A Nationwide Population-based Retrospective Cohort Study. The Journal of Rheumatology. 2016;43(3).[2]Park J-S, Jang H-D, Hong J-Y, Park Y-S, Han K, Suh S-W, et al. Impact of ankylosing spondylitis on depression: a nationwide cohort study. Scientific Reports. 2019;9(1):6736.[3]Hsu C-C, Chen S-C, Liu C-J, Lu T, Shen C-C, Hu Y-W, et al. Rheumatoid Arthritis and the Risk of Bipolar Disorder: A Nationwide Population-Based Study. PLOS ONE. 2014;9(9).[4]Sundquist K, Li X, Hemminki K, Sundquist J. Subsequent Risk of Hospitalization for Neuropsychiatric Disorders in Patients With Rheumatic Diseases: A Nationwide Study From Sweden. Archives of General Psychiatry. 2008;65(5):501-7.Acknowledgments:Supported by the project (Ministry of Health Czech Republic) for conceptual development of research organization 00023728 (Institute of Rheumatology).Disclosure of Interests:Tomáš Formánek: None declared, Karolina Mladá: None declared, Marketa Husakova Speakers bureau: Novartis

scholarly journals Association of Particulate Matter with Autoimmune Rheumatic Diseases among Adults in South Korea

Rheumatology ◽  
2021 ◽  
Author(s):  
Jun Seok Park ◽  
Seulggie Choi ◽  
Kyuwoong Kim ◽  
Jooyoung Chang ◽  
Sung Min Kim ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Adverse Effects ◽  
South Korea ◽  
Rheumatic Diseases ◽  
Lupus Erythematosus ◽  
Cox Regression ◽  
Statistical Significance ◽  
Cox Regression Analysis ◽  
Autoimmune Rheumatic Diseases ◽  
Quartile Group

Abstract Objective The primary objective is to investigate adverse effects of ambient particulate matter (PM) in various size on the incidence of prevalent autoimmune rheumatic diseases (AIRDs): Rheumatoid Arthritis (RA), Ankylosing Spondylitis (AS), and Systemic Lupus Erythematosus (SLE). Methods We investigated 230,034 participants in three metropolitan cities of South Korea from the National Health Insurance Service-National Sample Cohort (NHIS-NSC). Starting from January 2010, subjects were followed up until the first event of prevalent AIRDs, death, or December 2013. 2008-2009 respective averages of PM2.5 (< 2.5μm) and PMcoarse (2.5μm to 10μm) were linked with participants’ administrative district codes. Adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) were estimated using Cox regression analysis in one- and two-pollutant model. Results Adjusted for age, sex, region, and household income in two-pollutant model, RA incidence was positively associated with 10μg/m³ increment of PM2.5 (aHR = 1.74, 95% CI: 1.06-2.86), but not with PMcoarse (aHR = 1.27, 95% CI: 0.87-1.85). In one-pollutant model, an elevated incidence rate of RA was slightly attenuated (PM2.5 aHR = 1.61, 95% CI: 0.99-2.61; PMcoarse aHR = 1.13, 95% CI: 0.80-1.61), with marginal statistical significance of PM2.5. RA incidence was also higher in 4th quartile group of PM2.5 compared to 1st quartile group (aHR = 1.83, 95% CI: 1.07-3.11). No adverse effects of PM were found on AS or SLE in one- and two-pollutant models. Conclusion Important components of PM10 associated with RA incidence were fine fractions (PM2.5), while no positive association was found between PM and AS or SLE.

scholarly journals Increased risks of autoimmune rheumatic diseases in patients with psoriasis: A nationwide population-based study

2018 ◽  
Vol 79 (4) ◽  
pp. 778-781
Author(s):  
Hyun Jeong Ju ◽  
Ki-Jo Kim ◽  
Dae Suk Kim ◽  
Ji Hae Lee ◽  
Gyung Moon Kim ◽  
...  
Keyword(s):  
Rheumatic Diseases ◽  
Population Based ◽  
Population Based Study ◽  
Autoimmune Rheumatic Diseases

scholarly journals Validation of a Case Definition for Pediatric Brain Injury Using Administrative Data

2017 ◽  
Vol 44 (2) ◽  
pp. 161-169 ◽  
Author(s):  
Jane McChesney-Corbeil ◽  
Karen Barlow ◽  
Hude Quan ◽  
Guanmin Chen ◽  
Samuel Wiebe ◽  
...  
Keyword(s):  
Brain Injury ◽  
Administrative Data ◽  
Predictive Value ◽  
External Validation ◽  
Secondary Data ◽  
Population Based ◽  
Case Definition ◽  
Case Definitions ◽  
Icd 10 ◽  
Pediatric Tbi

AbstractBackground: Health administrative data are a common population-based data source for traumatic brain injury (TBI) surveillance and research; however, before using these data for surveillance, it is important to develop a validated case definition. The objective of this study was to identify the optimal International Classification of Disease , edition 10 (ICD-10), case definition to ascertain children with TBI in emergency room (ER) or hospital administrative data. We tested multiple case definitions. Methods: Children who visited the ER were identified from the Regional Emergency Department Information System at Alberta Children’s Hospital. Secondary data were collected for children with trauma, musculoskeletal, or central nervous system complaints who visited the ER between October 5, 2005, and June 6, 2007. TBI status was determined based on chart review. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for each case definition. Results: Of 6639 patients, 1343 had a TBI. The best case definition was, “1 hospital or 1 ER encounter coded with an ICD-10 code for TBI in 1 year” (sensitivity 69.8% [95% confidence interval (CI), 67.3-72.2], specificity 96.7% [95% CI, 96.2-97.2], PPV 84.2% [95% CI 82.0-86.3], NPV 92.7% [95% CI, 92.0-93.3]). The nonspecific code S09.9 identified >80% of TBI cases in our study. Conclusions: The optimal ICD-10–based case definition for pediatric TBI in this study is valid and should be considered for future pediatric TBI surveillance studies. However, external validation is recommended before use in other jurisdictions, particularly because it is plausible that a larger proportion of patients in our cohort had milder injuries.

scholarly journals Risk of autoimmune rheumatic diseases in patients with palindromic rheumatism: A nationwide, population-based, cohort study

PLoS ONE ◽  
2018 ◽  
Vol 13 (7) ◽  
pp. e0201340 ◽  
Author(s):  
Hsin-Hua Chen ◽  
Wen-Cheng Chao ◽  
Tsai-Ling Liao ◽  
Ching-Heng Lin ◽  
Der-Yuan Chen
Keyword(s):  
Cohort Study ◽  
Rheumatic Diseases ◽  
Population Based ◽  
Palindromic Rheumatism ◽  
Autoimmune Rheumatic Diseases

scholarly journals Concerns, Healthcare Use, and Treatment Interruptions in Patients With Common Autoimmune Rheumatic Diseases During the COVID-19 Pandemic

2020 ◽  
pp. jrheum.201017
Author(s):  
Michael D. George ◽  
Shilpa Venkatachalam ◽  
Shubhasree Banerjee ◽  
Joshua F. Baker ◽  
Peter A. Merkel ◽  
...  
Keyword(s):  
Rheumatic Diseases ◽  
Lupus Erythematosus ◽  
Urban Areas ◽  
Laboratory Testing ◽  
Respiratory Illness ◽  
The United States ◽  
Research Network ◽  
Office Visits ◽  
Autoimmune Rheumatic Diseases ◽  
Treatment Interruptions

Objective To assess concerns and healthcare-related behaviors of patients with autoimmune rheumatic diseases during the coronavirus disease 2019 (COVID-19) pandemic. Methods Adults from the United States with rheumatoid arthritis (RA), psoriatic arthritis (PsA), ankylosing spondylitis (AS), and systemic lupus erythematosus (SLE) from the ArthritisPower Patient-Powered Research Network and CreakyJoints patient community completed surveys. Concerns and behaviors were compared among patients with different autoimmune conditions, disease-modifying antirheumatic drug (DMARD) use, and geographic measures of urban status, income, education, and COVID-19 activity. Results Among 1517 participants (925 RA, 299 PsA, 185 AS, 108 SLE), mean age was 55.1 years, 88.3% were female, and 89.5% were White. COVID-19 concerns were similar across the country and were higher in biologic users (P < 0.001). Avoidance of doctor’s office visits (56.6%) or laboratory testing (42.3%) and use of telehealth (29.5%) were more common in urban areas. Among participants receiving a DMARD without COVID-19 or other respiratory illness, 14.9% stopped a DMARD, with 78.7% of DMARD interruptions not recommended by a physician. DMARD stopping was more common in participants with lower socioeconomic status (SES) and in participants who avoided an office visit (OR 1.46, 95% CI 1.04–2.04) or reported lack of telehealth availability OR 2.26 (95% CI 1.25–4.08). Conclusion In the early months of the COVID-19 pandemic, patients with RA, PsA, AS, and SLE frequently avoided office visits and laboratory testing. DMARD interruptions commonly occurred without the advice of a physician and were associated with SES, office visits, and telehealth availability, highlighting the need for adequate healthcare access and attention to vulnerable populations during the pandemic.

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