Multivariate proportional hazards regression models were used to identify predictors of LTFU at different follow-up time points. Baseline variables that were included in the multivariate analysis were: trial arm, age, gender, WHO stage of HIV disease, CD4+ cell count, presence or absence of history of TB and employment status. We used Poisson approximations to calculate 95% confidence interval (CI) for incidence rates and incidence rate ratio (IRR). Proportionality was tested by fitting the time dependent covariates created by interacting the baseline variables and a function of survival time. Statistical analyses were done using Statistical Analysis Software version 9.3 (SAS Institute, Cary, North Carolina, USA).
Predictors of Loss to Follow-up in TB-HIV Patients
Partial Protocol Preview
This section provides a glimpse into the protocol.
The remaining content is hidden due to licensing restrictions, but the full text is available at the following link:
Access Free Full Text.
Variable analysis
- Trial arm
- Gender
- WHO stage of HIV disease
- CD4+ cell count
- Presence or absence of history of TB
- Employment status
- Loss to follow-up (LTFU)
- Administrative censoring at 24 months post TB treatment initiation
Annotations
Based on most similar protocols
As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!