Dataset Information

Measurement of COPD severity using a survey-based score: validation in a clinically and physiologically characterized cohort.

ABSTRACT:

Background

A comprehensive survey-based COPD severity score has usefulness for epidemiologic and health outcomes research. We previously developed and validated the survey-based COPD Severity Score without using lung function or other physiologic measurements. In this study, we aimed to further validate the severity score in a different COPD cohort and using a combination of patient-reported and objective physiologic measurements.

Methods

Using data from the Function, Living, Outcomes, and Work cohort study of COPD, we evaluated the concurrent and predictive validity of the COPD Severity Score among 1,202 subjects. The survey instrument is a 35-point score based on symptoms, medication and oxygen use, and prior hospitalization or intubation for COPD. Subjects were systemically assessed using structured telephone survey, spirometry, and 6-min walk testing.

Results

We found evidence to support concurrent validity of the score. Higher COPD Severity Score values were associated with poorer FEV(1) (r = -0.38), FEV(1)% predicted (r = -0.40), Body mass, Obstruction, Dyspnea, Exercise Index (r = 0.57), and distance walked in 6 min (r = -0.43) (P < .0001 in all cases). Greater COPD severity was also related to poorer generic physical health status (r = -0.49) and disease-specific health-related quality of life (r = 0.57) (P < .0001). The score also demonstrated predictive validity. It was also associated with a greater prospective risk of acute exacerbation of COPD defined as ED visits (hazard ratio [HR], 1.31; 95% CI, 1.24-1.39), hospitalizations (HR, 1.59; 95% CI, 1.44-1.75), and either measure of hospital-based care for COPD (HR, 1.34; 95% CI, 1.26-1.41) (P < .0001 in all cases).

Conclusion

The COPD Severity Score is a valid survey-based measure of disease-specific severity, both in terms of concurrent and predictive validity. The score is a psychometrically sound instrument for use in epidemiologic and outcomes research in COPD.

SUBMITTER: Eisner MD

PROVIDER: S-EPMC2851559 | biostudies-literature | 2010 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Measurement of COPD severity using a survey-based score: validation in a clinically and physiologically characterized cohort.

Eisner Mark D MD Omachi Theodore A TA Katz Patricia P PP Yelin Edward H EH Iribarren Carlos C Blanc Paul D PD

Chest 20091229 4

<h4>Background</h4>A comprehensive survey-based COPD severity score has usefulness for epidemiologic and health outcomes research. We previously developed and validated the survey-based COPD Severity Score without using lung function or other physiologic measurements. In this study, we aimed to further validate the severity score in a different COPD cohort and using a combination of patient-reported and objective physiologic measurements.<h4>Methods</h4>Using data from the Function, Living, Outc ...[more]

PMID: 20040611

Similar Datasets

Project description:BackgroundHidradenitis suppurativa (HS) is a chronic, inflammatory skin disease with a large impact on patients' health-related quality of life. However, reliable and consistent outcome measures to assess body surface area (BSA) of HS have not been established.ObjectivesTo develop and assess the reliability and validity of a novel outcome instrument for assessment of HS BSA in a clinical trial setting.MethodsQualitative interviews and focus groups were conducted from July to August 2015 and October 2017 to January 2018. Evaluation of the measurement was assessed during a single-day grading session with patients in April 2018. Participants, who included clinicians or patients, were recruited from academic medical centres in the U.S. mid-Atlantic region.ResultsConcept elicitation included input from 10 providers, of which 60% (n = 6) were female, 80% (n = 8) dermatology specialists and 20% (n = 2) gynaecology specialists. Cognitive debriefing was conducted with 11 providers, of which 82% (n = 9) were dermatologists and 18% (n = 2) gynaecologists. The evaluation stage included 10 clinicians and 23 patients. The intraclass correlation coefficient (ICC) for inter-rater reliability was 0·60 [95% confidence interval (CI) 0·44-0·74]. The ICC for intrarater reliability was 0·98 (95% CI 0·94-1·00). Transformation of the BSA score resulted in an increase in inter-rater reliability to 0·75 (95% CI 0·62-0·85) or 0·76 (95% CI 0·62-0·85). Scores all demonstrated concurrent validity, with statistically significant correlations with extant scoring methods.ConclusionsThis novel scale is a reliable and valid HS outcome instrument and may capture a wide range of patients by assessing BSA. Future research is necessary to demonstrate its responsiveness. What's already known about this topic? The major HS disease activity scales rely on lesions counts and have moderate-to-good reliability. Body surface area (BSA) is one of the physical signs included in the Core Outcome Set for HS, but is not a part of existing HS disease activity scales. What does this study add? A novel disease severity scale, the Severity and Area Score for Hidradenitis (SASH), was developed and the psychometric properties assessed. There was high inter-rater reliability of 0·75 and 0·76 when BSA was scored on an ordinal scale, and an excellent intrarater reliability of 0·98. The SASH score also demonstrated convergent validity with extant instruments. What are the clinical implications of this work? The ability of clinicians to accurately assess disease status will be improved. Implementation of the SASH score will help guide and assess the effectiveness of appropriate treatment choice.

Dataset Information

Measurement of COPD severity using a survey-based score: validation in a clinically and physiologically characterized cohort.

Background

Methods

Results

Conclusion

Publications

Measurement of COPD severity using a survey-based score: validation in a clinically and physiologically characterized cohort.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets