Setting: Four
decentralised sites are located in rural areas and
one centralised hospital in KwaZulu-Natal province, South Africa. Objective:To analyse riskfactors associated with multidrug-resistant
tuberculosis (MDR-TB) using competing risks analysis. Understanding
factors associated with MDR-TB and obtaining valid parameter estimates could
help in designing control and intervention strategies to lower TB mortality. Method: A prospective study was performed using a competing risk analysis in patients
receiving treatment for MDR-TB. The study focused on 1542 patients (aged 18
years and older) who were diagnosed of MDR-TB between July 2008 and June 2010.
Time to cure MDR-TB was used as the dependent variable and time to death was
the competing risk event. Results: The Fine-Gray regression model indicated that baseline
weight was highly significant with sub-distribution hazard ration (SHR) = 1.02,
95% CI: 1.01 - 1.02. This means that weight gain in a month increased chances
of curing MDR-TB by 2%. Results show that lower chances to cure MDR-TB were among patients between 41 to 50 years compared to
those patients who were between 18 to 30
References
[1]
World Health Organization (2019) Global Status Report on Alcohol and Health 2018. World Health Organization, Geneva.
[2]
Gupta, R.K., Lucas, S.B., Fielding, K.L. and Lawn, S.D. (2015) Prevalence of Tuberculosis in Post-Mortem Studies of HIV-Infected Adults and Children in Resource-Limited Settings: A Systematic Review and Meta-Analysis. AIDS, 29, 1987-2002. https://doi.org/10.1097/QAD.0000000000000802
[3]
Millet, J.P., Moreno, A., Fina, L., Del Baño, L., Orcau, A., De Olalla, P.G. and Cayla, J.A. (2013) Factors That Influence Current Tuberculosis Epidemiology. European Spine Journal, 22, 539-548. https://doi.org/10.1007/s00586-012-2334-8
[4]
World Health Organization (2017) WHO Global TB Report. World Health Organization, Geneva. http://www.who.int/tb/publications/global_report/gtbr2016_executive_summary.pdf
[5]
Karim, S.S.A., Churchyard, G.J., Karim, Q.A. and Lawn, S.D. (2009) HIV Infection and Tuberculosis in South Africa: An Urgent Need to Escalate the Public Health Response. The Lancet, 374, 921-933. https://doi.org/10.1016/S0140-6736(09)60916-8
[6]
Harries, A.D., Hargreaves, N.J., Kemp, J., Jindani, A., Enarson, D.A., Maher, D. and Salaniponi, F.M. (2001) Deaths from Tuberculosis in Sub-Saharan African Countries with a High Prevalence of HIV-1. The Lancet, 357, 1519-1523. https://doi.org/10.1016/S0140-6736(00)04639-0
[7]
Takarinda, K.C., Harries, A.D., Sandy, C., Mutasa-Apollo, T. and Zishiri, C. (2016) Declining Tuberculosis Case Notification Rates with the Scale-up of Antiretroviral Therapy in Zimbabwe. Public Health Action, 6, 164-168. https://doi.org/10.5588/pha.16.0029
[8]
Haumba, S., Dlamini, T., Calnan, M., Ghazaryan, V., Smith-Arthur, A.E., Preko, P. and Ehrenkranz, P. (2015) Declining Tuberculosis Notification Trend Associated with Strengthened TB and Expanded HIV Care in Swaziland. Public Health Action, 5, 103-105. https://doi.org/10.5588/pha.15.0008
[9]
Nanoo, A., Izu, A., Ismail, N.A., Ihekweazu, C., Abubakar, I., Mametja, D. and Madhi, S.A. (2015) Nationwide and Regional Incidence of Microbiologically Confirmed Pulmonary Tuberculosis in South Africa, 2004-12: A Time Series Analysis. The Lancet Infectious Diseases, 15, 1066-1076. https://doi.org/10.1016/S1473-3099(15)00147-4
[10]
Wilkinson, D. and Gilks, C.F. (1998) Increasing Frequency of Tuberculosis among Staff in a South African District Hospital: Impact of the HIV Epidemic on the Supply Side of Health Care. Transactions of the Royal Society of Tropical Medicine and Hygiene, 92, 500-502. https://doi.org/10.1016/S0035-9203(98)90889-6
[11]
Coberly, J.S., Chaisson, R.E., Nelson, K.E., Williams, C.M. and Graham, M.H. (2001) Infectious Disease Epidemiology: Theory and Practice.
[12]
Cantwell, M.F., McKenna, M.T., McCray, E. and Onorato, I.M. (1998) Tuberculosis and Race/Ethnicity in the United States: Impact of Socioeconomic Status. American Journal of Respiratory and Critical Care Medicine, 157, 1016-1020. https://doi.org/10.1164/ajrccm.157.4.9704036
[13]
Bennett, J., Pitman, R., Jarman, B., Innes, J., Best, N., Alves, B. and Coker, R. (2001) A Study of the Variation in Tuberculosis Incidence and Possible Influential Variables in Manchester, Liverpool, Birmingham and Cardiff in 1991-1995. The International Journal of Tuberculosis and Lung Disease, 5, 158-163.
[14]
Munch, Z., Van Lill, S.W.P., Booysen, C.N., Zietsman, H.L., Enarson, D.A. and Beyers, N. (2003) Tuberculosis Transmission Patterns in a High-Incidence Area: A Spatial Analysis. The International Journal of Tuberculosis and Lung Disease, 7, 271-277.
[15]
Gustafson, P., Gomes, V.F., Vieira, C.S., Rabna, P., Seng, R., Johansson, P. and Aaby, P. (2004) Tuberculosis in Bissau: Incidence and Risk Factors in an Urban Community in Sub-Saharan Africa. International Journal of Epidemiology, 33, 163-172. https://doi.org/10.1093/ije/dyh026
[16]
Loveday, M., Padayatchi, N., Wallengren, K., Roberts, J., Brust, J.C., Ngozo, J. and Voce, A. (2014) Association between Health Systems Performance and Treatment Outcomes in Patients Co-Infected with MDR-TB and HIV in KwaZulu-Natal, South Africa: Implications for TB Programmes. PLoS ONE, 9, Article ID: e94016. https://doi.org/10.1371/journal.pone.0094016
[17]
Osman, M. (2015) HIV Infection and Tuberculosis Mortality among Adults in Cape Town. Public Health, 15, 556. https://doi.org/10.1186/s12889-015-1914-z
[18]
Bierrenbach, A.L., Pinto de Oliveira, G., Codenotti, S., Gomes, A.B.F. and Stevens, A.P. (2010) Duplicates and Misclassification of Tuberculosis Notification Records in Brazil, 2001-2007. The International Journal of Tuberculosis and Lung Disease, 14, 593-599.
[19]
Frette, C., Jacob, M.P., Kauffmann, F. and Mitchison, D.A. (1993) Assessment of New Sterilizing Drugs for Treating Pulmonary Tuberculosis by Culture at 2 Months. The American Review of Respiratory Disease, 147, 1062-1063. https://doi.org/10.1164/ajrccm/147.4.1062
[20]
Lienhardt, C. and Davies, G. (2010) Methodological Issues in the Design of Clinical Trials for the Treatment of Multidrug-Resistant Tuberculosis: Challenges and Opportunities. The International Journal of Tuberculosis and Lung Disease, 14, 528-537.
[21]
Laserson, K.F., Thorpe, L.E., Leimane, V., Weyer, K., Mitnick, C.D., Riekstina, V., e al. (2005) Speaking the Same Language: Treatment Outcome Definitions for Multidrug-Resistant Tuberculosis. The International Journal of Tuberculosis and Lung Disease, 9, 640-645.
[22]
Kaplan, E.L. and Meier, P. (1958) Nonparametric Estimation from Incomplete Observations. Journal of the American Statistical Association, 53, 457-481. https://doi.org/10.1080/01621459.1958.10501452
[23]
Gray, R.J. (1988) A Class of K-Sample Tests for Comparing the Cumulative Incidence of a Competing Risk. The Annals of Statistics, 16, 1141-1154. https://doi.org/10.1214/aos/1176350951
[24]
Fine, J.P. and Gray, R.J. (1999) A Proportional Hazards Model for the Subdistribution of a Competing Risk. Journal of the American Statistical Association, 94, 496-509. https://doi.org/10.1080/01621459.1999.10474144
[25]
Kalbfleisch, J.D. and Prentice, R.L. (1980) The Statistical Analysis of Failure Time Data. John Wiley & Sons, Inc., New York.
Cox, D.R. (1972) Regression Models and Life Tables (with Discussion). Journal of the Royal Statistical Society, Series B, 34, 187-220. https://doi.org/10.1111/j.2517-6161.1972.tb00899.x
[28]
StataCorp (2019) Stata Statistical Software Release 16.
[29]
Therneau, T. and Lumley, T. (2015) Package Survival: A Package for Survival Analysis in R. R Package. Version 2, 38.