| Title |
Predictors of mortality in rheumatoid arthritis-associated interstitial lung disease
|
|---|---|
| Published in |
European Respiratory Journal, November 2015
|
| DOI | 10.1183/13993003.00357-2015 |
| Pubmed ID | |
| Authors |
Joshua J. Solomon, Jonathan H. Chung, Gregory P. Cosgrove, M. Kristen Demoruelle, Evans R. Fernandez-Perez, Aryeh Fischer, Stephen K. Frankel, Stephen B. Hobbs, Tristan J. Huie, Jill Ketzer, Amar Mannina, Amy L. Olson, Gloria Russell, Yutaka Tsuchiya, Zulma X. Yunt, Pearlanne T. Zelarney, Kevin K. Brown, Jeffrey J. Swigris |
| Abstract |
Interstitial lung disease (ILD) is a common pulmonary manifestation of rheumatoid arthritis. There is lack of clarity around predictors of mortality and disease behaviour over time in these patients.We identified rheumatoid arthritis-related interstitial lung disease (RA-ILD) patients evaluated at National Jewish Health (Denver, CO, USA) from 1995 to 2013 whose baseline high-resolution computed tomography (HRCT) scans showed either a nonspecific interstitial pneumonia (NSIP) or a "definite" or "possible" usual interstitial pneumonia (UIP) pattern. We used univariate, multivariate and longitudinal analytical methods to identify clinical predictors of mortality and to model disease behaviour over time.The cohort included 137 subjects; 108 had UIP on HRCT (RA-UIP) and 29 had NSIP on HRCT (RA-NSIP). Those with RA-UIP had a shorter survival time than those with RA-NSIP (log rank p=0.02). In a model controlling for age, sex, smoking and HRCT pattern, a lower baseline % predicted forced vital capacity (FVC % pred) (HR=1.46; p<0.0001) and a 10% decline in FVC % pred from baseline to any time during follow up (HR=2.57; p<0.0001) were independently associated with an increased risk of death.Data from this study suggest that in RA-ILD, disease progression and survival differ between subgroups defined by HRCT pattern; however, when controlling for potentially influential variables, pulmonary physiology, but not HRCT pattern, independently predicts mortality. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 12% |
| France | 1 | 6% |
| United States | 1 | 6% |
| Mexico | 1 | 6% |
| Poland | 1 | 6% |
| Argentina | 1 | 6% |
| Colombia | 1 | 6% |
| Israel | 1 | 6% |
| Unknown | 8 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 59% |
| Practitioners (doctors, other healthcare professionals) | 5 | 29% |
| Scientists | 1 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 208 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 15% |
| Other | 24 | 12% |
| Student > Postgraduate | 16 | 8% |
| Student > Bachelor | 14 | 7% |
| Student > Ph. D. Student | 12 | 6% |
| Other | 34 | 16% |
| Unknown | 76 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 88 | 42% |
| Biochemistry, Genetics and Molecular Biology | 7 | 3% |
| Nursing and Health Professions | 5 | 2% |
| Immunology and Microbiology | 5 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 1% |
| Other | 14 | 7% |
| Unknown | 86 | 41% |