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Abstract Number: 70

The Impact of Systemic Autoimmune Rheumatic Disease On One-Year Mortality in Congestive Heart Failure Patients: A Population-Level Analysis

Stephanie O. Keeling1, Asvina Bissonauth1, Becky Leung2 and Padmaja Kaul2, 1Medicine, University of Alberta, Edmonton, AB, Canada, 2Cardiology, University of Alberta, Edmonton, AB, Canada

Meeting: 2012 ACR/ARHP Annual Meeting

Keywords: Connective tissue diseases, Heart disease, morbidity and mortality and rheumatoid arthritis (RA)

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Session Information

Title: Epidemiology and Health Services Research: Epidemiology and Outcomes of Rheumatic Disease I

Session Type: Abstract Submissions (ACR)

Background/Purpose:

Little is known about the prevalence of systemic autoimmune rheumatic diseases (SARDs) in patients with congestive heart failure (CHF) and its contribution to long-term adverse events.  Therefore, we documented the prevalence of SARDs in an incident cohort of patients hospitalized with CHF in the province of Alberta, Canada and examined the association between SARDs and 1-year mortality after adjusting for traditional cardiovascular risk factors.

Methods:

This retrospective cohort study examined all Alberta residents, aged 20 years and older, hospitalized with incident CHF between April 1, 1999 and December 31, 2008.  Definitions of CHF, SARDs and other comorbidities were based on established ICD-9 &-10 codes. SARDs included rheumatoid arthritis, systemic lupus erythematosus, inflammatory myositis, systemic sclerosis, Sjogren’s syndrome, overlap syndrome and other connective tissue diseases.  Hospitalization records in the five years prior to the incident CHF hospitalization were examined to identify the presence of SARDs and other comorbidities.  Baseline characteristics and comorbidity rates of SARDs/non-SARDs patients were described. The independent association of SARDs and mortality after adjusting for demographic and traditional cardiovascular risk factors was calculated with logistic regression. Kaplan-Meier analysis and the log-rank statistic examined the unadjusted one-year mortality between SARDs/non-SARDS patients.  

Results:

SARDs prevalence was 3.1% (1208 patients) out of 38,668 patients hospitalized with CHF. Patients with SARDs were younger, more likely female, and had lower rates of diabetes, hypertension, COPD, anemia and renal disease (Table 1). After multivariate adjustment, SARDs was associated with higher odds of 1-year mortality (adjusted Odds Ratio 1.3 (95% Confidence Interval 1.2-1.5) (Table 2). Kaplan-Meier analysis showed greater 1-year mortality in SARDs versus non-SARDs hospitalized CHF patients (not shown in abstract).

Conclusion:

Significant mortality risk exists among SARDs patients hospitalized with CHF despite lower rates of factors such as diabetes and hypertension. Agressive recognition and management of CHF in SARDs patients may improve survival rates. Further work is needed to examine the outpatient prevalence of SARDs in this population.

Table 1. Baseline characteristics of SARDs versus non-SARDs CHF patients 

CHARACTERISTIC

SARDS

Non-SARDs

p-value

Age (mean (STD))

74.8 (13.2)

72.9 (12.7)

<0.01**

Male sex

18,842 (50.3%)

347 (28.7%)

< 0.01

Diabetes

12624 (33.7%)

331 (27.4%)

< 0.01

Hypertension

28432 (75.9%)

885 (73.3%)

0.04

Dementia

4832 (12.9%)

108 (8.9%0

< 0.01

COPD

17756 (47.4%)

628 (52.0%)

< 0.01

Anemia

14560 (38.9%)

724 (59.9%)

< 0.01

Cerebrovascular disease

8016 (21.4%)

259 (21.4%)

0.95

Renal disease

6181 (16.5%)

248 (20.5%)

< 0.01

Cancer

7042 (18.8%)

216 (17.9%)

0.40

PVD

6780 (18.1%)

236 (19.5%)

0.22

Atrial fibrillation

12549 (33.5%)

393 (32.5%)

0.46

1-year mortality

11238 (30.0%)

422 (34.9%)

< 0.01

 

 

 

 

 

**p-value was based on Kruskal-Wallis one-way analysis of variance

 

P-values of categorical variables are based on Chi-square test

 

 

 

 

 

 

TABLE 2. Logistic regression of 1-year mortality in incident CHF

 

 

Effect

OR (95% Confidence Interval)

Male

1.2 (1.1 – 1.2)

Age

1.0

SARDs

1.3 (1.2 – 1.5)

Hypertension

0.7 (0.6 – 0.7)

Dementia

1.8 (1.7 – 2.0)

COPD

1.1 (1.0 – 1.1)

Anemia

1.3 (1.2 – 1.3)

Cerebrovascular disease

1.3 (1.2 – 1.4)

Renal disease

1.7 (1.6 – 1.8)

Cancer

2.5 (2.4 – 2.6)

PVD

1.2 (1.1 – 1.2)


Disclosure:

S. O. Keeling,
None;

A. Bissonauth,
None;

B. Leung,
None;

P. Kaul,
None.

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