Disease severity and health-related quality of life across different chronic conditions

Citation
L. Ferrucci et al., Disease severity and health-related quality of life across different chronic conditions, J AM GER SO, 48(11), 2000, pp. 1490-1495
Citations number
27
Categorie Soggetti
Public Health & Health Care Science","General & Internal Medicine
Journal title
JOURNAL OF THE AMERICAN GERIATRICS SOCIETY
ISSN journal
00028614 → ACNP
Volume
48
Issue
11
Year of publication
2000
Pages
1490 - 1495
Database
ISI
SICI code
0002-8614(200011)48:11<1490:DSAHQO>2.0.ZU;2-X
Abstract
OBJECTIVES: Measurements of health-related quality of life (HRQL) are an es sential component in overall assessment of health status, particularly in o lder patients. Nevertheless, how measures of HRQL relate to measures of dis ease severity is largely unexplored. This study was carried out to explore the relationship between a measure of HRQL and measures of severity of isch emic stroke, Parkinson's diseases (PD), or chronic coronary heart disease ( CHD). DESIGN AND SETTING: Cross-sectional analysis of three groups (54 subjects e ach) of patients aged greater than or equal to 65 years consecutively refer red to outpatient clinics for stroke, PD, or CHD, excluding those with cogn itive impairment and severs comorbidity. MEASUREMENTS: Severity of stroke, PD, and CHD assessed by Fugl-Meyer Scale (FMS), Webster Rating Scale (WBRS), and total work capacity (TWC, from grad ed exercise test)? respectively. HRQL was determined by the Sickness Impact Profile (SIP). RESULTS: In PD, WBRS correlated linearly with SIP global score, whereas a s ignificant linear relationship between measures of disease severity and STP score was limited to the least severely diseased stroke (FMS score>160) an d the most severely diseased CHD (TWC <700 Kg.m) patients. CONCLUSIONS: In some disease, the relationship between clinical measures of disease severity and HRQL is nonlinear. Thus, depending on initial severit y, similar changes in disease severity map have different impacts on HRQL. These findings may help in identifying patients most likely to improve thei r SIP score substantially, after even small changes in disease severity. Ho wever, studies examining the metric properties of SIP across the whole scor e range are needed to verify whether such improvement really translates int o a better HRQL.