The “chronicization” of HIV infection brings about a growing necessity to attentively evaluate current and potential complications when prescribing the individual therapeutic regimen. Starting from this need, we developed two HIV-comorbidity simulators that, basing on the evidence available in medical literature and starting from the current clinical and demographic features of the individual patient, project and compare the risks of developing and worsening of nephropathy and osteopathy associated with possible ARV regimens. These simulators are embedded in a desktop, user-friendly software thought to be used by the treating physician during prescription discussion with his/her patients, in order to highlight expected clinical outcomes and healthcare resource consumption that may differ according to the therapeutic strategy selected. In this article we present the sources and methods used in developing the mathematical models, alongside a set of examples and the results of cohort-level validation runs.

Simulating the development and progression of Chronic Kidney Disease and osteoporosis in people living with HIV / S. Adami, P. Maggi, V. Montinaro, M. Povero, L. Pradelli, R. Bellagamba, P. Bonfanti, A. Di Biagio, S. Rusconi, F.M. Di Campli, G. Forastieri, M. Mancini. - In: FARMECONOMIA E PERCORSI TERAPEUTICI. - ISSN 2240-256X. - 17:1S(2016), pp. 3-23. [10.7175/fe.v17i1S.1236]

Simulating the development and progression of Chronic Kidney Disease and osteoporosis in people living with HIV

S. Rusconi;
2016

Abstract

The “chronicization” of HIV infection brings about a growing necessity to attentively evaluate current and potential complications when prescribing the individual therapeutic regimen. Starting from this need, we developed two HIV-comorbidity simulators that, basing on the evidence available in medical literature and starting from the current clinical and demographic features of the individual patient, project and compare the risks of developing and worsening of nephropathy and osteopathy associated with possible ARV regimens. These simulators are embedded in a desktop, user-friendly software thought to be used by the treating physician during prescription discussion with his/her patients, in order to highlight expected clinical outcomes and healthcare resource consumption that may differ according to the therapeutic strategy selected. In this article we present the sources and methods used in developing the mathematical models, alongside a set of examples and the results of cohort-level validation runs.
Settore MED/17 - Malattie Infettive
2016
Article (author)
File in questo prodotto:
File Dimensione Formato  
Farmeco 2016;17(Suppl 1).pdf

accesso aperto

Tipologia: Publisher's version/PDF
Dimensione 873.86 kB
Formato Adobe PDF
873.86 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/440250
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? 0
social impact