TY - JOUR
T1 - Psychometric assessment of health-related quality of life and symptom experience in HIV patients treated with antiretroviral therapy
AU - Lalanne, Christophe
AU - Armstrong, Andrew R.
AU - Herrmann, Susan
AU - Le Coeur, Sophie
AU - Carrieri, Patrizia
AU - Chassany, Olivier
AU - Duracinsky, Martin
PY - 2015/12/7
Y1 - 2015/12/7
N2 - Purpose: Symptoms which are found to cluster consistently can have synergistic effects on patient outcomes and therefore may serve to predict morbidity or disentangle disease progression from comorbid conditions. Self-report HIV-specific symptom and HRQL measures were jointly analyzed in HIV-positive patients under different antiretroviral treatment regimens. Methods: The responses of $$N=365$$N=365 patients from four countries to the 9-item Physical Health and Symptom dimension of the PROOQL-HIV questionnaire and an HIV Symptom checklist were analyzed. Item response modeling and multidimensional scaling were used to derive HRQL scores free of any differential item functioning related to gender and target language and to summarize symptom co-expression in patients under protease inhibitor treatment (PI, $$N=164$$N=164, 45 %) versus other medication (Non-PI). Results: Women reported poorer HRQL ($$p=0.037$$p=0.037), and HRQL did not differ between the target languages of French, English, and Thai. Fatigue, muscular pain, or difficulties falling asleep was the most frequently reported symptoms >35 %). PI versus Non-PI patients exhibited different pattern of symptoms with lipodystrophy-related and gastrointestinal symptoms forming well-separated clusters in the PI group. A higher number of symptoms were associated with lower HRQL ($$p < 0.001$$p<0.001), and patients taking PIs reported lower HRQL ($$p=0.003$$p=0.003). Patients in both groups who reported fatigue, sexual dysfunction, or several lipodystrophy-related symptoms had poorer quality of life. Conclusion: The co-expression of symptoms and their relation to HRQL are important aspects for the monitoring of HIV treatments.
AB - Purpose: Symptoms which are found to cluster consistently can have synergistic effects on patient outcomes and therefore may serve to predict morbidity or disentangle disease progression from comorbid conditions. Self-report HIV-specific symptom and HRQL measures were jointly analyzed in HIV-positive patients under different antiretroviral treatment regimens. Methods: The responses of $$N=365$$N=365 patients from four countries to the 9-item Physical Health and Symptom dimension of the PROOQL-HIV questionnaire and an HIV Symptom checklist were analyzed. Item response modeling and multidimensional scaling were used to derive HRQL scores free of any differential item functioning related to gender and target language and to summarize symptom co-expression in patients under protease inhibitor treatment (PI, $$N=164$$N=164, 45 %) versus other medication (Non-PI). Results: Women reported poorer HRQL ($$p=0.037$$p=0.037), and HRQL did not differ between the target languages of French, English, and Thai. Fatigue, muscular pain, or difficulties falling asleep was the most frequently reported symptoms >35 %). PI versus Non-PI patients exhibited different pattern of symptoms with lipodystrophy-related and gastrointestinal symptoms forming well-separated clusters in the PI group. A higher number of symptoms were associated with lower HRQL ($$p < 0.001$$p<0.001), and patients taking PIs reported lower HRQL ($$p=0.003$$p=0.003). Patients in both groups who reported fatigue, sexual dysfunction, or several lipodystrophy-related symptoms had poorer quality of life. Conclusion: The co-expression of symptoms and their relation to HRQL are important aspects for the monitoring of HIV treatments.
KW - Cluster analysis
KW - Health-related quality of life
KW - HIV
KW - Item response modeling
KW - Symptoms
UR - http://www.scopus.com/inward/record.url?scp=84930480959&partnerID=8YFLogxK
U2 - 10.1007/s11136-014-0880-8
DO - 10.1007/s11136-014-0880-8
M3 - Article
C2 - 25481725
SN - 0962-9343
VL - 24
SP - 1407
EP - 1418
JO - Quality of Life Research
JF - Quality of Life Research
IS - 6
ER -