Data and code for "Influence of setting and diagnostic algorithm on disease severity among people diagnosed with symptomatic and asymptomatic tuberculosis in South Africa" – Data Codebook

Persistent identifier

10.17037/DATA.00005244

Description

Data and code to replicate the analyses in the paper "Influence of setting and diagnostic algorithm on disease severity among people diagnosed with symptomatic and asymptomatic tuberculosis in South Africa". Dataset variables cover participant demographics, CD4TB score, TB diagnosis and symptoms, Xpert Ultra result, past instances of TB, HIV/ART status, and cavitation on chest X-ray. R code is used to generate table 1 and figure 1-2.

Codebook

The dataset contains 16 variables, outlined below.

Variable name Variable description Answer code Answer label Variable type
sex Participant sex     String
    Female Female  
    Male Male  
cad_v6 Participant CD4TB version 6 score Open ended   Numeric
cad_v5 Participant CD4TB version r score Open ended   Numeric
tbsymp Reported TB symptoms     Numeric
    No 0  
    Yes 1  
TB Diagnosed with TB     Numeric
    No 0  
    Yes 1  
xpert_pos Have a positive Xpert Ultra result     Numeric
    No 0  
    Yes 1  
above_trace Have an above trace Xpert Ultra result     Numeric
    No 0  
    Yes 1  
survey Participant in which survey     String
    AHCoS study AHCoS  
    Vukuzazi study Vukuzazi  
pastTB Reported past TB     Numeric
    No 0  
    Yes 1  
hivart HIV/ART status     String
    HIV negative HIV-  
    HIV positive. Receiving ART HIV+ART+  
    HIV positive. Not receiving ART HIV+ART-  
cavitation Cavitation on chest X-ray     Numeric
    No 0  
    Yes 1  
survey_symp Survey and reported symptoms     String
    AHCoS study, reported symptoms AHCoS sTB  
    Vukuzazi study, no reported symptoms Vuk aTB  
    AHCoS study, no reported symptoms AHCoS aTB  
    Vukuzazi study, reported symptoms Vuk sTB  
age_group Participant age group     String
    15 to 29 15-29  
    30 to 44 30-44  
    45 or over 45+  
bmi_group Participant body mass index group     String
    Underweight Underweight  
    Normal weight Normal weight  
    Overweight/obese Overweight/obese  
before_threshold_change Was the participant recruited before the CAD threshold was changed (Vukuzazi only)     Numeric
    No 0  
    Yes 1  
    Not applicable .  
culture_cat Time to culture positivity (days)     String
    Negative negative  
    Below 10 <10  
    10 to 15 10-15  
    15-42 15-42