Literature DB >> 30557057

Fibrosis-4 index at diagnosis can predict all-cause mortality in patients with rheumatoid arthritis: A retrospective monocentric study.

Seung Up Kim1,2, Beom Kyung Kim1,2, Jun Yong Park1,2, Do Young Kim1,2, Sang Hoon Ahn1,2, Yong-Beom Park3,4, Kwang-Hyub Han1,2, Sang-Won Lee3,4.   

Abstract

Objectives: Comorbidities and conventional risk factors influence the prognosis of patients with rheumatoid arthritis (RA). We investigated whether liver fibrosis burden is associated with all-cause mortality in patients with RA.
Methods: A total of 2812 patients with RA were retrospectively selected and reviewed. Liver fibrosis was assessed using the fibrosis-4 index (FIB-4) [age (years)× aspartate aminotransferase level (IU/L)/platelet count (109/L)/√alanine aminotransferase (IU/L)].
Results: The mean patient age was 51.5 years (482 men and 2330 women). The mean erythrocyte sedimentation rate (ESR), C-reactive protein (CRP) level, and FIB-4 were 43.5 mm/h, 9.0 mg/L, and 1.0, respectively. Methotrexate was used in 2524 (89.9%) patients, and biological or targeted synthetic disease-modifying antirheumatic drugs were used in 310 (11.0%) patients. During the follow-up period (mean 93.7 months), 89 (3.2%) patients died. Deceased patients had a significantly higher age (mean 64.4 vs. 51.1 years); frequency of male sex (31.5% vs. 16.7%), hypertension (HTN; 40.4 vs. 18.5%), and diabetes mellitus (DM; 25.8% vs. 7.7%); ESR (mean 57.1 vs. 43.0 mm/h); CRP (mean 16.9 vs. 8.7 mg/L); and FIB-4 (mean 1.5 vs. 1.0) (all p < .05) than the survivors. On multivariate analysis, higher FIB-4 was found to be independently associated with a higher rate of all-cause mortality (hazard ratio =1.130, p = .004), together with male sex, HTN, DM, ESR, and intensity of glucocorticoid exposure, whereas the use of methotrexate was independently protective (all p < .05).
Conclusion: Besides conventional risk factors, fibrotic burden, assessed using FIB-4, might be useful for risk stratification of patients newly diagnosed as having RA.

Entities:  

Keywords:  FIB-4; Rheumatoid arthritis; mortality

Mesh:

Substances:

Year:  2019        PMID: 30557057     DOI: 10.1080/14397595.2018.1558760

Source DB:  PubMed          Journal:  Mod Rheumatol        ISSN: 1439-7595            Impact factor:   3.023


  5 in total

1.  High fibrosis-4 index predicts the new onset of ischaemic heart disease during a 10-year period in a general population.

Authors:  Yukimura Higashiura; Marenao Tanaka; Kazuma Mori; Takuma Mikami; Itaru Hosaka; Hirofumi Ohnishi; Nagisa Hanawa; Masato Furuhashi
Journal:  Eur Heart J Open       Date:  2022-04-16

2.  Hepatic Fibrosis Assessed Using Fibrosis-4 Index Is Predictive of All-Cause Mortality in Patients with Chronic Obstructive Pulmonary Disease.

Authors:  Seung Hyun Yong; Ah Young Leem; Young Sam Kim; Moo Suk Park; Joon Chang; Seung Up Kim; Ji Ye Jung
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2020-04-17

Review 3.  Nonalcoholic fatty liver disease in inflammatory arthritis: Relationship with cardiovascular risk.

Authors:  Nuria Barbarroja; Miriam Ruiz-Ponce; Laura Cuesta-López; Carlos Pérez-Sánchez; Chary López-Pedrera; Iván Arias-de la Rosa; Eduardo Collantes-Estévez
Journal:  Front Immunol       Date:  2022-09-23       Impact factor: 8.786

4.  Preoperative Fibrosis-4 (FIB-4) Evaluation May Be Helpful to Evaluate Prognosis of Gastric Cancer Patients Undergoing Operation: A Retrospective Study.

Authors:  Ke Xu; Mingming Shi; Weiteng Zhang; Yiyi Shi; Qiantong Dong; Xian Shen; Xiaolei Chen; Ji Lin
Journal:  Front Oncol       Date:  2021-06-17       Impact factor: 6.244

5.  Impact of the Fibrosis-4 Index on Risk Stratification of Cardiovascular Events and Mortality in Patients with Atrial Fibrillation: Findings from a Japanese Multicenter Registry.

Authors:  Yuki Saito; Yasuo Okumura; Koichi Nagashima; Daisuke Fukamachi; Katsuaki Yokoyama; Naoya Matsumoto; Eizo Tachibana; Keiichiro Kuronuma; Koji Oiwa; Michiaki Matsumoto; Toshihiko Nishida; Toshiaki Kojima; Shoji Hanada; Kazumiki Nomoto; Kazumasa Sonoda; Ken Arima; Fumiyuki Takahashi; Tomobumi Kotani; Kimie Ohkubo; Seiji Fukushima; Satoru Itou; Kunio Kondo; Hideyuki Ando; Yasumi Ohno; Motoyuki Onikura; Atsushi Hirayama
Journal:  J Clin Med       Date:  2020-02-21       Impact factor: 4.241

  5 in total

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