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1.
J Patient Rep Outcomes ; 6(1): 27, 2022 Mar 26.
Article in English | MEDLINE | ID: mdl-35347476

ABSTRACT

BACKGROUND: People living with HIV (PLWH) are generally known to suffer from a lower quality of life compared to the one of general population, but still very few is known about the self-perception of quality of life when comparing HIV to non-communicable diseases. We performed a comprehensive assessment of patient's reported outcomes measures (PROMs) among PLWH and patients affected by other chronic conditions (OC) such as diabetes mellitus type 1, rheumatoid arthritis, breast cancer in hormonal therapy, in order to investigate differences in PROMs outcomes between PLWH and other pathologies. METHODS: A cross-sectional observational study was performed by using questionnaires investigating health-related quality of life (Medical Outcomes Study Short Form 36-item Health Survey), work productivity (WPI), and global health status (EQ-5D-3L). They were administered to patients affected by chronic diseases consecutively observed at a single University Hospital during a 10 months period, with comparable disease related aspects. Logistic regression analysis was used to analyze the association between disease group (HIV vs OC) and PROMs. RESULTS: 230 patients were enrolled (89 PLWH, 143 OC). Mean age: 49 years (SD 10), mean time of disease 12 years (10), 96% were Caucasian, 35% assumed polypharmacy, 42% of male were PLWH versus 16% OC (p < 0.001), 19% PLWH versus 6% OC had clinical complications (p < 0.001). HIV infection was independently associated to a better health-related quality of life in several domains compared with the other conditions, except in mental health, whereas a worst health-related quality of life in most domains was reported by older patients and those experiencing polypharmacy. CONCLUSIONS: In this cohort of patients with chronic conditions followed within the same health setting, PLWH showed better self-reported health outcomes compared to other chronic conditions with comparable characteristics of chronicity. The potential detrimental role of older age and polypharmacy in most outcomes suggests the need of longitudinal assessment of PROMs in clinical practice.

2.
Epidemiol Infect ; 147: e89, 2019 01.
Article in English | MEDLINE | ID: mdl-30869037

ABSTRACT

Here we evaluated hospitalisation rates and associated risk factors of human immunodeficiency virus (HIV)-infected individuals who were followed up in an Italian reference hospital from 1998 to 2016. Incidence rates (IR) of hospitalisations were calculated for five study periods from 1998 to 2016. The random-effects Poisson regression model was used to assess risk factors for hospitalisation including demographic and clinical characteristics. To consider that more events may occur for the same subject, multiple failure-time data analysis was also performed for selected causes using the Cox proportional hazards model. We evaluated 2031 patients. During 13 173 person-years (py) of follow-up, 3356 hospital admissions were carried out for 756 patients (IR: 255 per 1000 py). IR decreased significantly over the study period, from 634 in 1998-2000 to 126 per 1000 py in 2013-2016. Major declines were detected for AIDS-defining events, non-HIV/AIDS-related infections and neurological diseases. Older age, female sex, longer HIV duration and HCV coinfection were associated with a higher hospitalisation risk, whereas higher CD4 nadir and antiretroviral therapy were associated with a reduced risk. Influence of advanced HIV disease markers declined over time. Hospitalisation rates decreased during the study period in most causes. The relative weight of hospitalisations for non-AIDS-related tumours, cardiovascular, respiratory and kidney diseases increased during the study period, whereas those for AIDS-defining events declined.


Subject(s)
HIV Infections/epidemiology , Hospitalization/trends , Adult , Cohort Studies , Female , Hospitalization/statistics & numerical data , Hospitals/statistics & numerical data , Humans , Italy , Male , Middle Aged , Proportional Hazards Models , Risk Factors
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