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Validation of claims-based algorithms for rheumatoid arthritis in Japan: Results from the VALIDATE-J study.
Sugiyama, Naonobu; Kinjo, Mitsuyo; Jinno, Sadao; de Luise, Cynthia; Morishima, Toshitaka; Higuchi, Takakazu; Katayama, Kayoko; Chen, Haoqian; Nonnenmacher, Edward; Hase, Ryota; Suzuki, Daisuke; Tanaka, Yoshiya; Setoguchi, Soko.
Afiliação
  • Sugiyama N; Inflammation and Immunology, Medical Affairs, Pfizer Japan, Tokyo, Japan.
  • Kinjo M; Division of Rheumatology, Okinawa Chubu Hospital, Uruma, Okinawa, Japan.
  • Jinno S; Section of Rheumatology, Kobe University School of Medicine, Kobe, Hyogo, Japan.
  • de Luise C; Safety Surveillance Research, Pfizer Inc, New York, New York, USA.
  • Morishima T; Cancer Control Center, Osaka International Cancer Institute, Osaka, Japan.
  • Higuchi T; Blood Transfusion Department, Dokkyo Medical University Saitama Medical Center, Koshigaya, Saitama, Japan.
  • Katayama K; Cancer Prevention and Cancer Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa, Japan.
  • Chen H; Center for Pharmacoepidemiology and Treatment Science, Rutgers Institute for Health, Health Care Policy and Aging Research, New Brunswick, New Jersey, USA.
  • Nonnenmacher E; Center for Pharmacoepidemiology and Treatment Science, Rutgers Institute for Health, Health Care Policy and Aging Research, New Brunswick, New Jersey, USA.
  • Hase R; Department of Infectious Diseases, Kameda Medical Center, Kamogawa, Chiba, Japan.
  • Suzuki D; Department of Infectious Diseases, Japanese Red Cross Narita Hospital, Narita, Chiba, Japan.
  • Tanaka Y; Department of Infectious Diseases, Fujita Health University, Toyoake, Aichi, Japan.
  • Setoguchi S; First Department of Internal Medicine, University of Occupational and Environmental Health Japan, Kitakyushu, Fukuoka, Japan.
Int J Rheum Dis ; 27(1): e15001, 2024 Jan.
Article em En | MEDLINE | ID: mdl-38160436
ABSTRACT

AIM:

Validity of Algorithms in Large Databases Infectious Diseases, Rheumatoid Arthritis, and Tumor Evaluation in Japan (VALIDATE-J) study examined algorithms for identifying rheumatoid arthritis (RA) in Japanese claims data.

METHODS:

VALIDATE-J was a multicenter, cross-sectional retrospective study. Disease-identifying algorithms were used to detect RA diagnosed between January 2012 and December 2016 using claims data from two Japanese hospitals. An RA diagnosis was confirmed using one of four gold standard definitions. Positive predictive values (PPVs) were calculated for prevalent (regardless of baseline RA-free period) and incident (preceded by a 12-month RA-free period) cases.

RESULTS:

Of patients identified using claims-based algorithms, a random sample of 389 prevalent and 134 incident cases of RA were included. Cases identified by an RA diagnosis, no diagnosis of psoriasis, and treatment with any disease-modifying antirheumatic drugs (DMARDs) resulted in the highest PPVs versus other claims-based treatment categories (29.0%-88.3% [prevalent] and 41.0%-78.2% [incident]); cases identified by an RA diagnosis, no diagnosis of psoriasis, and glucocorticoid-only treatment had the lowest PPVs. Across claims-based algorithms, PPVs were highest when a physician diagnosis or decision by adjudicators (confirmed and probable cases) was used as the gold standard and were lowest when American College of Rheumatology/European Alliance of Associations for Rheumatology 2010 criteria were applied. PPVs of claims-based algorithms for RA in patients aged ≥66 years were slightly higher versus a USA Medicare population (maximum PPVs of 95.0% and 88.9%, respectively).

CONCLUSION:

VALIDATE-J demonstrated high PPVs for most claims-based algorithms for diagnosis of prevalent and incident RA using Japanese claims data. These findings will help inform appropriate RA definitions for future claims database research in Japan.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Artrite Reumatoide / Psoríase / Antirreumáticos Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Artrite Reumatoide / Psoríase / Antirreumáticos Idioma: En Ano de publicação: 2024 Tipo de documento: Article