A prognostic model for estimating the time to virologic failure in HIV-1 infected patients undergoing a new combination antiretroviral therapy regimen

Mcf Prosperi; Simona Di Giambenedetto; Iuri Fanti; G Meini; B Bruzzone; A Callegaro; G Penco; P Bagnarelli; V Micheli; E Paolini; A Di Biagio; V Ghisetti; Maria Luisa Di Pietro; M Zazzi; Andrea De Luca

doi:10.1186/1472-6947-11-40

A prognostic model for estimating the time to virologic failure in HIV-1 infected patients undergoing a new combination antiretroviral therapy regimen

Mcf Prosperi
, Simona Di Giambenedetto
, Iuri Fanti
, G Meini
, B Bruzzone
, A Callegaro
, G Penco
, P Bagnarelli
, V Micheli
, E Paolini
, A Di Biagio
, V Ghisetti
, Maria Luisa Di Pietro
, M Zazzi
, Andrea De Luca

Azienda Ospedaliera Universitaria Senese

Risultato della ricerca: Contributo in rivista › Articolo

9 Citazioni (Scopus)

Abstract

HIV-1 genotypic susceptibility scores (GSSs) were proven to be significant prognostic factors of fixed time-point virologic outcomes after combination antiretroviral therapy (cART) switch/initiation. However, their relative-hazard for the time to virologic failure has not been thoroughly investigated, and an expert system that is able to predict how long a new cART regimen will remain effective has never been designed.

Lingua originale	Inglese
pagine (da-a)	40-40
Numero di pagine	1
Rivista	BMC Medical Informatics and Decision Making
Volume	11
Numero di pubblicazione	Giugno
DOI	https://doi.org/10.1186/1472-6947-11-40
Stato di pubblicazione	Pubblicato - 2011

Keywords

Adult
Anti-HIV Agents
Cohort Studies
Combination
Drug Therapy
Female
HIV Infections
HIV-1
Humans
Male
Middle Aged
Proportional Hazards Models
Treatment Failure
Viral Load

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10.1186/1472-6947-11-40

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Prosperi, M., Di Giambenedetto, S., Fanti, I., Meini, G., Bruzzone, B., Callegaro, A., Penco, G., Bagnarelli, P., Micheli, V., Paolini, E., Di Biagio, A., Ghisetti, V., Di Pietro, M. L., Zazzi, M., & De Luca, A. (2011). A prognostic model for estimating the time to virologic failure in HIV-1 infected patients undergoing a new combination antiretroviral therapy regimen. BMC Medical Informatics and Decision Making, 11(Giugno), 40-40. https://doi.org/10.1186/1472-6947-11-40

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title = "A prognostic model for estimating the time to virologic failure in HIV-1 infected patients undergoing a new combination antiretroviral therapy regimen",

abstract = "HIV-1 genotypic susceptibility scores (GSSs) were proven to be significant prognostic factors of fixed time-point virologic outcomes after combination antiretroviral therapy (cART) switch/initiation. However, their relative-hazard for the time to virologic failure has not been thoroughly investigated, and an expert system that is able to predict how long a new cART regimen will remain effective has never been designed.",

keywords = "Adult, Anti-HIV Agents, Cohort Studies, Combination, Drug Therapy, Female, HIV Infections, HIV-1, Humans, Male, Middle Aged, Proportional Hazards Models, Treatment Failure, Viral Load, Adult, Anti-HIV Agents, Cohort Studies, Combination, Drug Therapy, Female, HIV Infections, HIV-1, Humans, Male, Middle Aged, Proportional Hazards Models, Treatment Failure, Viral Load",

author = "Mcf Prosperi and \{Di Giambenedetto\}, Simona and Iuri Fanti and G Meini and B Bruzzone and A Callegaro and G Penco and P Bagnarelli and V Micheli and E Paolini and \{Di Biagio\}, A and V Ghisetti and \{Di Pietro\}, \{Maria Luisa\} and M Zazzi and \{De Luca\}, Andrea",

year = "2011",

doi = "10.1186/1472-6947-11-40",

language = "English",

volume = "11",

pages = "40--40",

journal = "BMC Medical Informatics and Decision Making",

issn = "1472-6947",

publisher = "BioMed Central",

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Prosperi, M, Di Giambenedetto, S, Fanti, I, Meini, G, Bruzzone, B, Callegaro, A, Penco, G, Bagnarelli, P, Micheli, V, Paolini, E, Di Biagio, A, Ghisetti, V, Di Pietro, ML, Zazzi, M & De Luca, A 2011, 'A prognostic model for estimating the time to virologic failure in HIV-1 infected patients undergoing a new combination antiretroviral therapy regimen', BMC Medical Informatics and Decision Making, vol. 11, n. Giugno, pagg. 40-40. https://doi.org/10.1186/1472-6947-11-40

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T1 - A prognostic model for estimating the time to virologic failure in HIV-1 infected patients undergoing a new combination antiretroviral therapy regimen

AU - Prosperi, Mcf

AU - Di Giambenedetto, Simona

AU - Fanti, Iuri

AU - Meini, G

AU - Bruzzone, B

AU - Callegaro, A

AU - Penco, G

AU - Bagnarelli, P

AU - Micheli, V

AU - Paolini, E

AU - Di Biagio, A

AU - Ghisetti, V

AU - Di Pietro, Maria Luisa

AU - Zazzi, M

AU - De Luca, Andrea

PY - 2011

Y1 - 2011

N2 - HIV-1 genotypic susceptibility scores (GSSs) were proven to be significant prognostic factors of fixed time-point virologic outcomes after combination antiretroviral therapy (cART) switch/initiation. However, their relative-hazard for the time to virologic failure has not been thoroughly investigated, and an expert system that is able to predict how long a new cART regimen will remain effective has never been designed.

AB - HIV-1 genotypic susceptibility scores (GSSs) were proven to be significant prognostic factors of fixed time-point virologic outcomes after combination antiretroviral therapy (cART) switch/initiation. However, their relative-hazard for the time to virologic failure has not been thoroughly investigated, and an expert system that is able to predict how long a new cART regimen will remain effective has never been designed.

KW - Adult

KW - Anti-HIV Agents

KW - Cohort Studies

KW - Combination

KW - Drug Therapy

KW - Female

KW - HIV Infections

KW - HIV-1

KW - Humans

KW - Male

KW - Middle Aged

KW - Proportional Hazards Models

KW - Treatment Failure

KW - Viral Load

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KW - Anti-HIV Agents

KW - Cohort Studies

KW - Combination

KW - Drug Therapy

KW - Female

KW - HIV Infections

KW - HIV-1

KW - Humans

KW - Male

KW - Middle Aged

KW - Proportional Hazards Models

KW - Treatment Failure

KW - Viral Load

UR - https://publicatt.unicatt.it/handle/10807/6351

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JO - BMC Medical Informatics and Decision Making

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ER -

A prognostic model for estimating the time to virologic failure in HIV-1 infected patients undergoing a new combination antiretroviral therapy regimen

Abstract

Keywords

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