Tuesday, 23 Apr 2019

You are here

Mortality Predictors in Rheumatoid Arthritis

A population based study from southern Denmark finds excess mortality RF-positive males with rheumatoid arthritis (RA) and that employment status and comorbidity were independent predictors of mortality.

Investigators stuided 509 RA patients between 1995 to 2002, of whom 200 (39%) died during 6079 person-years of follow-up.

The most frequent underlying causes of death were cardiovascular disease (34%), neoplasms (26%), and respiratory disease (12%).

Seropositive (RF+) males hand an increased standardized mortality ratio of 1.47 (1.15-1.88), but also for cardiovascular disease 1.63 (1.09-2.46), respiratory disease 2.03 (1.06-3.90), and neoplasms 2.26 (1.02-5.03).  The SMR was great for those over age 79 years - SMR 2.45 (1.23-4.90).

RF modified the effect of age. Employment status, comorbidity, and gender were independent baseline predictors of subsequent mortality.

Disclosures: 
The author has no conflicts of interest to disclose related to this subject

Add new comment

More Like This

Statins in RA Patients Without CVD: Nonsignificant Results

Patients with RA, but without CV disease, who were treated with atorvastatin appeared to experience cardiovascular (CV) benefits similar to what has been observed in other populations, with a risk reduction of approximately one-third, according to a large, but prematurely terminated, trial in the U.K.

Increasing Prevalence and Consequences of Interstitial Lung Disease in RA

Interstitial lung disease (ILD) has been a hot topic in numerous journals recently with reports of increasing incidence and links to disease activity.

RheumNowLive On Demand: MTX Impact in RA - Dr. Michael Weinblatt

A clip from RheumNow Live On Demand. You can access the full library of content from the meeting.

RheumNowLive On Demand: Pre-Clinical RA - Dr. Michael Holers

A clip from RheumNow Live On Demand. You can access the full library of content from the meeting.

Artificial Intelligence to Predict Rheumatoid Disease Activity

A recent study in JAMA Network Open shows that artificial intelligence models can use electronic health record data to prognosticate future patient outcomes in rheumatoid arthritis (RA).