Changes to antiretroviral drug regimens during integrated TB-HIV treatment: results of the SAPiT trial.

Author: BamberSheila, GengiahTanuja N, GrayAndrew L, KarimSalim S Abdool, NaidooAnushka, NaidooKogieleum, NairGonasagrie, PadayatchiNesri, Yende-ZumaNonhlanhla

Paper Details 
Original Abstract of the Article :
BACKGROUND: Frequency of drug changes in combination antiretroviral therapy among patients starting both tuberculosis (TB) and HIV therapy, as a result of treatment-limiting toxicity or virological failure, is not well established. METHODS: Patients in the Starting Antiretroviral Therapy at Three P...See full text at original site
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引用元:
https://pubmed.ncbi.nlm.nih.gov/24176943

データ提供:米国国立医学図書館(NLM)

Optimizing Antiretroviral Therapy for TB-HIV Coinfection: A Clinical Trial Perspective

This study investigates the frequency of antiretroviral drug changes in patients starting both tuberculosis (TB) and HIV therapy. It explores the need for adjustments due to treatment-limiting toxicity or virological failure, providing valuable insights into optimizing treatment for TB-HIV coinfection.

Minimizing Treatment Disruptions in TB-HIV Coinfection

The study findings suggest that drug changes and complete regimen changes were uncommon in patients co-treated for TB-HIV using the specific antiretroviral regimen described. This highlights the potential effectiveness of the regimen in minimizing treatment disruptions. However, patients with severe immunosuppression require careful monitoring, as they were found to be more susceptible to treatment failure.

Tailoring Treatment for Individual Needs

This research underscores the importance of individualized care for patients with TB-HIV coinfection. It emphasizes the need for close monitoring, particularly in individuals with severe immunosuppression, to optimize treatment outcomes and minimize the need for drug changes.

Dr. Camel's Conclusion

Just as a camel adapts its travel route to navigate the changing desert terrain, treating TB-HIV coinfection requires a flexible approach. This study provides valuable data for tailoring treatment strategies to individual patient needs and ensuring optimal outcomes for those facing this complex health challenge.

Date :
  1. Date Completed 2014-12-03
  2. Date Revised 2021-10-21
Further Info :

Pubmed ID

24176943

DOI: Digital Object Identifier

NIHMS539605

SNS
PICO Info
in preparation
Languages

English

Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

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