Literature DB >> 27518855

[The first biologic for rheumatoid arthritis: factors influencing the therapeutic decision].

D Pattloch1, A Richter1, B Manger2, R Dockhorn3, L Meier4, H-P Tony5, A Zink6, A Strangfeld7.   

Abstract

BACKGROUND AND AIMS: Biologics (disease modifying antirheumatic drugs, bDMARD) have been in use in Germany for the treatment of rheumatoid arthritis (RA) since 2001, usually after failure of at least one conventional synthetic (cs)DMARD. We analyzed temporal changes in factors that influence the decision for either a first bDMARD or a further csDMARD.
MATERIAL AND METHODS: We analyzed data from 9513 bDMARD-naive RA patients in the German biologics register RABBIT who switched to a new therapy. For three recruitment periods (2001-2003, 2004-2006 and 2009-2015) factors influencing the therapeutic decision were analyzed by means of machine learning methods and logistic regression analysis.
RESULTS: In all recruitment periods the number of previous csDMARDs, high dosages of glucocorticoids (>7.5 mg/day) and a higher DAS28 (>5.1) were significantly associated with the decision for a first bDMARD. Over time, the chance of receiving a bDMARD increased in patients with moderate disease activity, moderate glucocorticoid dosages (5-7.5 mg/day) and those with comorbidities, such as congestive heart failure or prior malignancy. Men had a higher chance of receiving a bDMARD than women only in the first recruitment period. Private health insurance, high education and gainful employment were significantly associated with more frequent prescription of bDMARDs in all recruitment periods. DISCUSSION: The time-dependent changes in the impact of disease activity, concomitant drugs, gender and comorbidity on the prescription of bDMARDs mirror the increasing therapeutic options and the growing experience in the application of the new substances in patients at higher risk. The influence of demographic and social factors may reflect safety concerns in patients at increased risk of adverse events but also the need to economize drug costs..

Entities:  

Keywords:  Cohort Studies; Germany; Model-based boosting; Prescriptions; RABBIT

Mesh:

Substances:

Year:  2017        PMID: 27518855     DOI: 10.1007/s00393-016-0174-3

Source DB:  PubMed          Journal:  Z Rheumatol        ISSN: 0340-1855            Impact factor:   1.372


  17 in total

1.  [Comparative evaluation of a German version of the Health Assessment Questionnaire and the Hannover Functional Capacity Questionnaire].

Authors:  J Lautenschläger; W Mau; T Kohlmann; H H Raspe; F Struve; W Brückle; H Zeidler
Journal:  Z Rheumatol       Date:  1997 May-Jun       Impact factor: 1.372

2.  Model-based boosting in high dimensions.

Authors:  Torsten Hothorn; Peter Bühlmann
Journal:  Bioinformatics       Date:  2006-08-29       Impact factor: 6.937

3.  Receipt of disease-modifying antirheumatic drugs among patients with rheumatoid arthritis in Medicare managed care plans.

Authors:  Gabriela Schmajuk; Amal N Trivedi; Daniel H Solomon; Edward Yelin; Laura Trupin; Eliza F Chakravarty; Jinoos Yazdany
Journal:  JAMA       Date:  2011-02-02       Impact factor: 56.272

4.  Eligibility of rheumatoid arthritis patients for anti-TNF-alpha therapy according to the 2005 recommendations of the French and British Societies for Rheumatology.

Authors:  B Fautrel; R M Flipo; A Saraux
Journal:  Rheumatology (Oxford)       Date:  2008-09-15       Impact factor: 7.580

5.  DAGitty: a graphical tool for analyzing causal diagrams.

Authors:  Johannes Textor; Juliane Hardt; Sven Knüppel
Journal:  Epidemiology       Date:  2011-09       Impact factor: 4.822

6.  Automated variable selection methods for logistic regression produced unstable models for predicting acute myocardial infarction mortality.

Authors:  Peter C Austin; Jack V Tu
Journal:  J Clin Epidemiol       Date:  2004-11       Impact factor: 6.437

7.  Do changes in prescription practice in patients with rheumatoid arthritis treated with biological agents affect treatment response and adherence to therapy? Results from the nationwide Danish DANBIO Registry.

Authors:  M L Hetland; H M Lindegaard; A Hansen; J Pødenphant; J Unkerskov; V S Ringsdal; M Østergaard; U Tarp
Journal:  Ann Rheum Dis       Date:  2008-02-13       Impact factor: 19.103

8.  Pattern and predictors of the initiation of biologic agents for the treatment of rheumatoid arthritis in the United States: an analysis using a large observational data bank.

Authors:  Esi Morgan DeWitt; Li Lin; Henry A Glick; Kevin J Anstrom; Kevin A Schulman; Shelby D Reed
Journal:  Clin Ther       Date:  2009-08       Impact factor: 3.393

9.  Variations in criteria regulating treatment with reimbursed biologic DMARDs across European countries. Are differences related to country's wealth?

Authors:  Polina Putrik; Sofia Ramiro; Tore K Kvien; Tuulikki Sokka; Till Uhlig; Annelies Boonen
Journal:  Ann Rheum Dis       Date:  2013-08-12       Impact factor: 19.103

10.  EULAR recommendations for the management of rheumatoid arthritis with synthetic and biological disease-modifying antirheumatic drugs: 2013 update.

Authors:  Josef S Smolen; Robert Landewé; Ferdinand C Breedveld; Maya Buch; Gerd Burmester; Maxime Dougados; Paul Emery; Cécile Gaujoux-Viala; Laure Gossec; Jackie Nam; Sofia Ramiro; Kevin Winthrop; Maarten de Wit; Daniel Aletaha; Neil Betteridge; Johannes W J Bijlsma; Maarten Boers; Frank Buttgereit; Bernard Combe; Maurizio Cutolo; Nemanja Damjanov; Johanna M W Hazes; Marios Kouloumas; Tore K Kvien; Xavier Mariette; Karel Pavelka; Piet L C M van Riel; Andrea Rubbert-Roth; Marieke Scholte-Voshaar; David L Scott; Tuulikki Sokka-Isler; John B Wong; Désirée van der Heijde
Journal:  Ann Rheum Dis       Date:  2013-10-25       Impact factor: 19.103

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  7 in total

1.  [How frequent are poor prognostic markers in rheumatoid arthritis? : An estimate based on three epidemiologic cohorts].

Authors:  K Albrecht; A Richter; Y Meissner; D Huscher; L Baganz; K Thiele; M Schneider; A Strangfeld; A Zink
Journal:  Z Rheumatol       Date:  2017-06       Impact factor: 1.372

2.  [ADAPTHERA-Statewide cross-sectoral care network for patients with early rheumatoid arthritis shows sustained remission in standard care].

Authors:  A Lauter; K Triantafyllias; R Leiß; C Amberger; J Engels; M Hesse; M Jendro; J Gilly; M-L Stadelmann; W Ziese; D Wollschläger; M Dreher; B Pfeiff; J Weinmann-Menke; T Panholzer; A Schwarting
Journal:  Z Rheumatol       Date:  2019-09       Impact factor: 1.372

3.  [Outpatient care and disease burden of rheumatoid arthritis : Results of a linkage of claims data and a survey of insured persons].

Authors:  K Albrecht; A Luque Ramos; J Callhoff; F Hoffmann; K Minden; A Zink
Journal:  Z Rheumatol       Date:  2018-03       Impact factor: 1.372

Review 4.  [Reality of care for musculoskeletal diseases at the population level : Results of the PROCLAIR collaborative project. German version].

Authors:  J Callhoff; K Albrecht; F Hoffmann; D Poddubnyy; K-P Günther; A Zink
Journal:  Z Rheumatol       Date:  2019-10       Impact factor: 1.372

5.  The first biological choice in patients with rheumatoid arthritis: data from the Moroccan register of biotherapies.

Authors:  Meryem Eddaoudi; Samira Rostom; Ihsane Hmamouchi; Imane El Binoune; Bouchra Amine; Redouane Abouqal; Lahsen Achemlal; Fadoua Allali; Imane El Bouchti; Abdellah El Maghraoui; Imad Ghozlani; Hasna Hassikou; Taoufik Harzy; Linda Ichchou; Ouafae Mkinsi; Redouane Niamane; Rachid Bahiri
Journal:  Pan Afr Med J       Date:  2021-02-17

Review 6.  An Update on Statistical Boosting in Biomedicine.

Authors:  Andreas Mayr; Benjamin Hofner; Elisabeth Waldmann; Tobias Hepp; Sebastian Meyer; Olaf Gefeller
Journal:  Comput Math Methods Med       Date:  2017-08-02       Impact factor: 2.238

7.  Effectiveness and safety of golimumab in patients with rheumatoid arthritis, psoriatic arthritis and ankylosing spondylitis under real-life clinical conditions: non-interventional GO-NICE study in Germany.

Authors:  Klaus Krüger; Gerd R Burmester; Siegfried Wassenberg; Martin Bohl-Bühler; Matthias H Thomas
Journal:  BMJ Open       Date:  2018-06-14       Impact factor: 2.692

  7 in total

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