Publications
Department of Medicine faculty members published more than 3,600 peer-reviewed articles in 2024.
2013
PURPOSE
To determine the accuracy of computed tomography (CT) in identifying the histopathologic usual interstitial pneumonia (UIP) pattern in rheumatoid arthritis-associated interstitial lung disease (RA-ILD).
MATERIALS AND METHODS
All patients were enrolled into institutional review board-approved longitudinal cohorts at their respective institution, and informed consent was obtained at the time of enrollment. Images of patients with surgical lung biopsy-proved RA-ILD (n = 69) were collected from three tertiary care centers. Two experienced thoracic radiologists independently reviewed the CT scans. The CT pattern was categorized as definite UIP, possible UIP, or inconsistent with UIP in accordance with published criteria. Findings of biopsies were reviewed by an experienced lung pathologist. The sensitivity and specificity of definite CT UIP pattern to histopathologic UIP pattern were determined. The agreement between radiologists was assessed by calculating a κ score.
RESULTS
The histopathologic UIP pattern was present in 42 of 69 (61%) patients. Men were more likely than women to have a histopathologic UIP pattern (P = .02). Twenty patients (29%, 20 of 69) had a definite UIP pattern on CT scans. The specificity of CT UIP pattern was 96% (26 of 27; 95% confidence interval [CI]: 81%, 100%), with a negative predictive value of 53% (26 of 49). The sensitivity of CT UIP pattern was 45% (19 of 42; 95% CI: 30%, 61%), with a positive predictive value of 95% (19 of 20). The agreement between radiologists for definite UIP pattern versus not was 87% (κ = 0.67, P < .0001).
CONCLUSION
Definite UIP pattern on a CT scan in RA-ILD is highly specific and moderately sensitive for histopathologic UIP pattern. CT can therefore help accurately identify the UIP pattern in RA-ILD.
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BACKGROUND
The aims of this study were to compare job demand-control (JDC) and effort-reward imbalance (ERI) models in examining the association of job stress with work-related musculoskeletal symptoms and to evaluate the utility of a combined model.
METHODS
This study analyzed cross-sectional survey data obtained from a nationwide random sample of 304 intensive-care unit (ICU) nurses. Demographic and job factors were controlled in the analyses using logistic regression.
RESULTS
Both JDC and ERI variables had strong and statistically significant associations with work-related musculoskeletal symptoms. Effort-reward imbalance had stronger associations than job strain or iso-strain with musculoskeletal symptoms. Effort-reward imbalance alone showed similar or stronger associations with musculoskeletal symptoms compared to combined variables of the JDC and ERI models.
CONCLUSIONS
The ERI model appears to capture the magnitude of the musculoskeletal health risk among nurses associated with job stress at least as well and possibly better than the JDC model. Our findings suggest that combining the two models provides little gain compared to using effort-reward imbalance only.
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