2019
DOI: 10.1186/s12879-019-4184-z
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Clusterization of co-morbidities and multi-morbidities among persons living with HIV: a cross-sectional study

Abstract: Background Among people living with HIV (PLWH), the prevalence of non-HIV related co-morbidities is increasing. Aim of the present study is to describe co-morbidity and multi-morbidity, their clustering mode and the potential disease-disease interactions in a cohort of Italian HIV patients. Methods Cross-sectional analysis conducted by the Coordinamento Italiano per lo Studio di Allergia e Infezioni da HIV (CISAI) on adult subjects attending H… Show more

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Cited by 26 publications
(31 citation statements)
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“…Also, the prevalence of hypercholesterolemia that we found in our study, i.e. 20%, is lower than that estimated in the Italian population of people living with HIV, where up to 50% have been reported to have dyslipidemia [18]. Thus, the study population might not be representative of the Italian population living with HIV and this further limits the generalizability of our results.…”
Section: Discussioncontrasting
confidence: 85%
“…Also, the prevalence of hypercholesterolemia that we found in our study, i.e. 20%, is lower than that estimated in the Italian population of people living with HIV, where up to 50% have been reported to have dyslipidemia [18]. Thus, the study population might not be representative of the Italian population living with HIV and this further limits the generalizability of our results.…”
Section: Discussioncontrasting
confidence: 85%
“…In fact, if the therapy recommended for one disease is contraindicated in the presence of a concurrent medical condition, the usefulness of clinical practice guidelines becomes limited. In such a scenario, evidence-based treatment guidelines, designed for single diseases, can lead to serious therapeutic conflicts (Maggi et al, 2019 ). To circumvent such limitations, a personalized approach to medicine may benefit from the inclusion of ideas from a somewhat recent field of research, generally known as systems biology or network medicine —when applied to humans.…”
Section: Introductionmentioning
confidence: 99%
“…In our study, cardiovascular disease caused 6% of hospitalizations. Oncologic disease caused 11% of hospitalizations; the malignancies in HIV Italian cohorts were observed in 8.5% of the CISAI cohort [ 12 ] and in 3.8% of the ICONA cohort [ 13 ].…”
Section: Discussionmentioning
confidence: 99%