J 2022

Time in remission as an alternative outcome measure for rheumatoid arthritis: a 10-year prospective study of 2618 new users of anti-TNF

TUZIL, Jan, Tomas MLCOCH, Jakub ZAVADA, Michal SVOBODA, Karel PAVELKA et. al.

Základní údaje

Originální název

Time in remission as an alternative outcome measure for rheumatoid arthritis: a 10-year prospective study of 2618 new users of anti-TNF

Autoři

TUZIL, Jan (203 Česká republika, garant), Tomas MLCOCH (203 Česká republika), Jakub ZAVADA (203 Česká republika), Michal SVOBODA (203 Česká republika, domácí), Karel PAVELKA (203 Česká republika) a Tomáš DOLEŽAL (203 Česká republika, domácí)

Vydání

RHEUMATOLOGY, OXFORD, OXFORD UNIV PRESS, 2022, 1462-0324

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30226 Rheumatology

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 5.500

Kód RIV

RIV/00216224:14110/22:00128703

Organizační jednotka

Lékařská fakulta

UT WoS

000789313000001

Klíčová slova anglicky

RA; outcome measure; disease activity; remission; biological therapy; anti-TNF; interpolation; prediction; registry; Czech Republic

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 22. 2. 2023 14:17, Mgr. Tereza Miškechová

Anotace

V originále

Objective. Achieving targeted disease activity (DA) is the primary therapeutic strategy in RA. Point measurements of DA are done at out-patient visits, however true DA between visits remains unobserved. This study sought to describe and validate a new outcome measure, i.e. time in remission (TIR). Methods. Patients were enrolled in the Czech ATTRA-RA registry. TIR was calculated using linear interpolation of the DAS28-ESR determined at outpatient visits. Correlation coefficients were computed between TIR and DAS28-CRP, HAQ, Simple Disease Activity Index (SDAI), patient global assessment (PGA) and physician global assessment (PhGA). Using logistic regression, TIR was used as a predictor of remission (SDAI <= 3.3) and non-disability (HAQ <0.5). The predictive value of TIR was compared with point and sustained remission using the cross-validated area under receiver-operating curves. Results. Since 2010, 2618 RA patients started anti-TNF therapy and were followed until 2020 or until treatment discontinuation. During the first 6months of therapy, 56% of patients had no remission (TIR =0), and 22% of patients reached sustained remission (TIR =1), while 22% of patients had point remissions with 0< TIR < 1. EULAR good responders and moderate/non-responders spent 64 +/- 42% and 6 +/- 18% of time in remission, respectively. The mean TIR grew during the follow-up and was correlated with DAS28-CRP, SDAI, HAQ, PGA, and PhGA (P < 0.0001). TIR at 3 and 6months predicted remission (SDAI <= 3.3) and non-disability (HAQ <0.5) at 13 and 19 months better than point or sustained remission. Conclusions. TIR is an intuitive way of estimating unobserved DA between scheduled visits; its calculation only requires two consecutive DA values