scholarly journals A Clinical Prediction Rule for Protease Inhibitor Resistance in Patients Failing Second-Line Antiretroviral Therapy

2019 ◽  
Vol 80 (3) ◽  
pp. 325-329 ◽  
Author(s):  
Karen Cohen ◽  
Annemie Stewart ◽  
Andre P. Kengne ◽  
Rory Leisegang ◽  
Marla Coetsee ◽  
...  
2016 ◽  
Vol 214 (6) ◽  
pp. 873-883 ◽  
Author(s):  
T. Sonia Boender ◽  
Raph L. Hamers ◽  
Pascale Ondoa ◽  
Maureen Wellington ◽  
Cleophas Chimbetete ◽  
...  

2018 ◽  
Vol 36 ◽  
pp. e4-e5
Author(s):  
Muhammad Faisal Putro Utomo ◽  
Petrus Kanisius Yogi Hariyanto ◽  
Anindia Reina Yolanda ◽  
Nur Rizky Amaliah ◽  
Ni Made Dewi Dian Sukmawati ◽  
...  

2021 ◽  
Vol 8 (12) ◽  
Author(s):  
Samuel Pierre ◽  
Iryna Bocharova ◽  
Catherine Nguyen ◽  
Fabienne Homeus ◽  
Gaetane Julmiste ◽  
...  

Abstract We compared viral suppression rates between patients who continued tenofovir disoproxil fumarate (TDF)/lamivudine (3TC) vs switched to zidovudine (ZDV)/3TC in combination with a boosted protease inhibitor after failure of first-line efavirenz/TDF/3TC. We found higher rates of viral suppression with continued TDF/3TC compared with switching to ZDV/3TC.


2019 ◽  
Vol 78 (5) ◽  
pp. 402-408
Author(s):  
Fred S. Sarfo ◽  
Barbara Castelnuovo ◽  
Iuri Fanti ◽  
Torsten Feldt ◽  
Francesca Incardona ◽  
...  

2016 ◽  
pp. fmw062 ◽  
Author(s):  
Ragna S. Boerma ◽  
Cissy Kityo ◽  
T. Sonia Boender ◽  
Elizabeth Kaudha ◽  
Joshua Kayiwa ◽  
...  

PLoS ONE ◽  
2012 ◽  
Vol 7 (3) ◽  
pp. e32144 ◽  
Author(s):  
Julie H. Levison ◽  
Catherine Orrell ◽  
Sébastien Gallien ◽  
Daniel R. Kuritzkes ◽  
Naishin Fu ◽  
...  

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Hellen Musana ◽  
Jude Thaddeus Ssensamba ◽  
Mary Nakafeero ◽  
Henry Mugerwa ◽  
Flavia Matovu Kiweewa ◽  
...  

Abstract Introduction Failure on second-line antiretroviral therapy (ART) with protease inhibitor (PI) mutations (VF-M) is on the rise. However, there is a paucity of information on the factors associated with this observation in low-income countries. Knowledge of underlying factors is critical if we are to minimize the number of PLHIV switched to costly third-line ART. Our study investigated the factors associated with VF-M. Methods We conducted a matched case–control analysis of patients' records kept at the Joint Clinical Research Center, starting from January 2008 to May 2018. We matched records of patients who failed the second-line ART with major PI mutations (cases) with records of patients who were virologically suppressed (controls) by a ratio of 1:3. Data analysis was conducted using STATA Version 14. Categorical variables were compared with the outcomes failure on second-line ART with PI mutations using the Chi-square and Fisher's exact tests where appropriate. Conditional logistic regression for paired data was used to assess the association between the outcome and exposure variables, employing the backward model building procedure. Results Of the 340 reviewed patients' records, 53% were women, and 6.2% had previous tuberculosis treatment. Males (aOR = 2.58, [CI 1.42–4.69]), and patients concurrently on tuberculosis treatment while on second-line ART (aOR = 5.65, [CI 1.76–18.09]) had higher odds of VF-M. ART initiation between 2001 and 2015 had lower odds of VF-M relative to initiation before the year 2001. Conclusion Males and patients concomitantly on tuberculosis treatment while on second-line ART are at a higher risk of VF-M. HIV/AIDS response programs should give special attention to this group of people if we are to minimize the need for expensive third-line ART. We recommend more extensive, explorative studies to ascertain underlying factors.


2020 ◽  
Author(s):  
Hellen Musana ◽  
Ssensamba Jude Thaddeus ◽  
Mary Nakafeero ◽  
Henry Mugerwa ◽  
Flavia Matovu Kiweewa ◽  
...  

Abstract Introduction Failure on second-line antiretroviral therapy (ART) with protease inhibitor (PI) mutations is on the rise. However, there is a paucity of information on the factors associated with this observation in the context of low-income countries. Knowledge of underlying factors is key if we are to minimize the number of PLHIV switched to costly third-line ART. Our study investigated the factors associated with failure on second-line ART with PI mutations. Methods We conducted a matched case-control analysis of patients' records kept at the Joint Clinical Research Center, starting from January 2008 to May 2018. We matched records of patients who failed the second-line ART with major PI mutations (cases) with records of patients who were virologically suppressed (controls) by a ratio of 1:3. Data analysis was conducted using STATA Version 14, and descriptive statistics comparing cases and controls were generated. Categorical variables were compared with the outcome, failure on second line ART with PI mutations using the Chi-square and Fisher's exact tests where appropriate. Conditional logistic regression for paired data was used to assess the association between the outcome and exposure variables, employing the backward model building procedure was done. Results Of the 340 reviewed patients' records, 53% were women, and 6.2% had previous Tuberculosis treatment. Males (aOR 2.64 CI: 1.0-4.64), type of second-line ART (aOR 3.92 CI: 1.15-13.38), and Tuberculosis treatment while on second-line ART (aOR7.08 CI: 2.35-21.29) highly predicted failure on second-line ART with PI mutations. Conclusion Males and patients concomitantly on Tuberculosis treatment while on second-line ART are at a higher risk of failing on second-line ART with PI mutations. HIV/AIDS response programs should give special attention to this group of people if we are to minimize the need for expensive third-line ART. More extensive explorative studies to ascertain underlying factors are recommended.


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