Background: Tuberculosis (TB) remains a significant public health concern globally, especially among HIV-positive individuals. The study aimed to investigate the factors associated with mortality among HIV/TB co-infected patients receiving antiretroviral therapy (ART) in Dire Dawa, Ethiopia. Methods: A retrospective follow-up study was conducted at Dilchora Referral Hospital among 434 HIV/TB co-infected patients enrolled in ART from January 2008 to January 2023. Standardized checklist was used for data collection and taken from patient’s medical cards and database system. Binary logistic regression was used to identify baseline factors associated with mortality. Results: The study found a mortality rate of 31% among HIV/TB co-infected patients. Factors such as WHO clinical stage III (AOR: 9.3, 95% CI: 3.03, 28.34) and WHO clinical stage IV (AOR: 11.3, 95% CI: 3.5, 36.34) and underweight and overweight body mass index were (AOR: 2.6, 95% CI: 1.35, 4.83) and (AOR: 21.4, 95% CI: 8.24, 55.5), poor ART adherence (AOR: 4.24, 95% CI: 2.25, 7.98), alcohol consumption (AOR: 3.15, 95%: 1.69, 5.87), and smoking (AOR: 4.12, 95% CI: 2.32, 7.29) were associated with increased odds of mortality. Conclusion: The study underscores the importance of identifying and addressing baseline factors that contribute to mortality in HIV/TB co-infected patients. Interventions targeting factors like clinical staging, adherence to ART, and lifestyle habits could help reduce mortality rates in this population.
Published in | Science Journal of Clinical Medicine (Volume 13, Issue 3) |
DOI | 10.11648/j.sjcm.20241303.11 |
Page(s) | 38-46 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Mortality, HIV/TB Co-infection, Antiretroviral Therapy, Ethiopia
Variables | Categories | Frequency | Percentage (%) |
---|---|---|---|
Sex | Male | 192 | 44.24 |
Female | 242 | 55.76 | |
Age | <15 | 22 | 5.07 |
15-24 | 45 | 10.37 | |
25-34 | 124 | 28.57 | |
35-44 | 148 | 34.10 | |
>44 | 95 | 21.89 | |
Residence | Urban | 386 | 88.94 |
Rural | 48 | 11.06 | |
Marital status | Never married | 140 | 32.26 |
Married | 154 | 35.48 | |
Divorced | 71 | 16.36 | |
Widowed | 43 | 9.91 | |
separated | 26 | 5.99 | |
Occupation status | Government Employed | 35 | 8.06 |
Private Employed | 14 | 3.23 | |
Student | 26 | 5.99 | |
Housewife | 52 | 11.98 | |
Merchant | 77 | 17.74 | |
Othersa | 128 | 29.49 | |
unknown | 102 | 23.50 | |
Educational status | No formal education | 108 | 24.88 |
Primary | 183 | 42.17 | |
Secondary | 121 | 27.88 | |
Tertiary | 22 | 5.07 | |
Religion | Muslim | 141 | 32.49 |
Orthodox | 254 | 58.53 | |
Othersb | 39 | 8.99 | |
HIV Disclosure | Yes | 302 | 69.59 |
No | 132 | 30.41 |
Variables | Categories | Frequency | Percentage (%) |
---|---|---|---|
Clinical stages | Stage I | 67 | 15.44 |
Stage II | 102 | 23.50 | |
Stage III | 192 | 44.24 | |
Stage IV | 73 | 16.82 | |
BMI | Underweight | 231 | 53.23 |
Normal | 180 | 41.47 | |
Overweight | 23 | 5.3 | |
Functional status | Ambulatory | 144 | 33.18 |
Bedridden | 98 | 22.58 | |
Working | 192 | 44.24 | |
Site of TB infection | Pulmonary | 207 | 47.70 |
Extrapulomnary | 227 | 52.30 | |
CD4 cell count | < 200 | 223 | 51.38 |
>=200 | 211 | 48.62 | |
Hemoglobin level | <10 | 122 | 28.11 |
10 | 312 | 71.89 | |
Opportunistic infection | Yes | 297 | 68.43 |
No | 137 | 31.57 | |
Adherence status | Good | 244 | 56.22 |
Fair | 84 | 19.35 | |
Poor | 106 | 24.42 | |
CTP | Yes | 380 | 87.56 |
No | 54 | 12.44 | |
Drinking alcohol | Yes | 94 | 21.66 |
No | 340 | 78.34 | |
Smoking status | Yes | 121 | 27.88 |
No | 313 | 72.12 |
Variables | Categories | COR (95%CI) | AOR (95%CI) | P-value |
---|---|---|---|---|
Age | <15 | 1 | 1 | |
15-24 | 2.6 (0.65, 10.20) | 2.0 (0.47, 8.52) | 0.351 | |
25-34 | 3.2 (0.91, 11.59) | 2.3 (0.69, 10.13) | 0.154 | |
35-44 | 3.4 (0.97, 12.14) | 2.3 (0.59, 8.75) | 0.232 | |
45 | 2.1 (0.58, 7.88) | 1.6 (0.38, 6.31) | 0.538 | |
Clinical stage | Stage I | 1 | 1 | |
stage II | 0.67 (0.22, 2.02) | 1.9 (0.49, 7.26) | 0.357 | |
Stage III | 4.6 (2.0, 10.68) | 9.3 (3.03, 28.34) | 0.0001* | |
stage IV | 7. 6 (3.11, 18.44) | 11.3 (3.5, 36.68) | 0.0001* | |
BMI | Normal | 1 | 1 | |
Underweight | 3.02 (1.82, 5.01) | 2.6 (1.35, 4.83) | 0.004* | |
Overweight | 10.5 (5.27, 20.76) | 21.4 (8.24, 55.5) | 0.0001* | |
Functional status | Ambulatory | 1.35 (0.82, 2.20) | 1.6 (0.93, 3.15) | 0.131 |
Bedridden | 3.0 (1.79, 5.05) | 2.8 (1.42, 5.38) | 0.112 | |
Working | 1 | |||
Site of TB infection | Pulmonary | 1.42 (0.94, 2.14) | 1.69 (0.97, 2.94) | 0.062 |
Extrapulomnary | 1 | 1 | ||
Hemoglobin | <10 | 2.1 (1.34, 3.23) | 1.66 (0.92, 2.99) | 0.091 |
10 | 1 | 1 | ||
Drug Adherence | Good | 1 | 1 | |
Fair | 2.1 (1.20, 3.74) | 1.9 (0.89, 3.99) | 0.110 | |
Poor | 4.2 (2.62, 6.84) | 4.24 (2.25, 7.98) | 0.0001* | |
Drinking alcohol | Yes | 3.17 (2.02, 4.99) | 3.15 (1.69, 5.87) | 0.0001* |
No | 1 | 1 | ||
Smoking status | Yes | 5.2 (3.36, 8.09) | 4.12 (2.32, 7.29) | 0.0001* |
No | 1 | 1 |
AIDS | Acquired Immunodeficiency Syndrome |
ART | Anti-Retroviral Treatment |
BMI | Body Mass Index |
CPT | Co-trimoxazole Preventive Treatment |
HIV | Human Immunodeficiency Virus |
PLHIV | People Living With HIV/AIDS |
TB | Tuberculosis |
WHO | World Health Organization |
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APA Style
Bayisa, F. S., Nimani, T. D. (2024). Mortality and Associated Factors Among HIV/TB Co-infected Patients Under ART Clinic in Dire Dawa, Ethiopia, 2023. Science Journal of Clinical Medicine, 13(3), 38-46. https://doi.org/10.11648/j.sjcm.20241303.11
ACS Style
Bayisa, F. S.; Nimani, T. D. Mortality and Associated Factors Among HIV/TB Co-infected Patients Under ART Clinic in Dire Dawa, Ethiopia, 2023. Sci. J. Clin. Med. 2024, 13(3), 38-46. doi: 10.11648/j.sjcm.20241303.11
AMA Style
Bayisa FS, Nimani TD. Mortality and Associated Factors Among HIV/TB Co-infected Patients Under ART Clinic in Dire Dawa, Ethiopia, 2023. Sci J Clin Med. 2024;13(3):38-46. doi: 10.11648/j.sjcm.20241303.11
@article{10.11648/j.sjcm.20241303.11, author = {Feyisa Shasho Bayisa and Teshome Demis Nimani}, title = {Mortality and Associated Factors Among HIV/TB Co-infected Patients Under ART Clinic in Dire Dawa, Ethiopia, 2023 }, journal = {Science Journal of Clinical Medicine}, volume = {13}, number = {3}, pages = {38-46}, doi = {10.11648/j.sjcm.20241303.11}, url = {https://doi.org/10.11648/j.sjcm.20241303.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjcm.20241303.11}, abstract = {Background: Tuberculosis (TB) remains a significant public health concern globally, especially among HIV-positive individuals. The study aimed to investigate the factors associated with mortality among HIV/TB co-infected patients receiving antiretroviral therapy (ART) in Dire Dawa, Ethiopia. Methods: A retrospective follow-up study was conducted at Dilchora Referral Hospital among 434 HIV/TB co-infected patients enrolled in ART from January 2008 to January 2023. Standardized checklist was used for data collection and taken from patient’s medical cards and database system. Binary logistic regression was used to identify baseline factors associated with mortality. Results: The study found a mortality rate of 31% among HIV/TB co-infected patients. Factors such as WHO clinical stage III (AOR: 9.3, 95% CI: 3.03, 28.34) and WHO clinical stage IV (AOR: 11.3, 95% CI: 3.5, 36.34) and underweight and overweight body mass index were (AOR: 2.6, 95% CI: 1.35, 4.83) and (AOR: 21.4, 95% CI: 8.24, 55.5), poor ART adherence (AOR: 4.24, 95% CI: 2.25, 7.98), alcohol consumption (AOR: 3.15, 95%: 1.69, 5.87), and smoking (AOR: 4.12, 95% CI: 2.32, 7.29) were associated with increased odds of mortality. Conclusion: The study underscores the importance of identifying and addressing baseline factors that contribute to mortality in HIV/TB co-infected patients. Interventions targeting factors like clinical staging, adherence to ART, and lifestyle habits could help reduce mortality rates in this population. }, year = {2024} }
TY - JOUR T1 - Mortality and Associated Factors Among HIV/TB Co-infected Patients Under ART Clinic in Dire Dawa, Ethiopia, 2023 AU - Feyisa Shasho Bayisa AU - Teshome Demis Nimani Y1 - 2024/08/15 PY - 2024 N1 - https://doi.org/10.11648/j.sjcm.20241303.11 DO - 10.11648/j.sjcm.20241303.11 T2 - Science Journal of Clinical Medicine JF - Science Journal of Clinical Medicine JO - Science Journal of Clinical Medicine SP - 38 EP - 46 PB - Science Publishing Group SN - 2327-2732 UR - https://doi.org/10.11648/j.sjcm.20241303.11 AB - Background: Tuberculosis (TB) remains a significant public health concern globally, especially among HIV-positive individuals. The study aimed to investigate the factors associated with mortality among HIV/TB co-infected patients receiving antiretroviral therapy (ART) in Dire Dawa, Ethiopia. Methods: A retrospective follow-up study was conducted at Dilchora Referral Hospital among 434 HIV/TB co-infected patients enrolled in ART from January 2008 to January 2023. Standardized checklist was used for data collection and taken from patient’s medical cards and database system. Binary logistic regression was used to identify baseline factors associated with mortality. Results: The study found a mortality rate of 31% among HIV/TB co-infected patients. Factors such as WHO clinical stage III (AOR: 9.3, 95% CI: 3.03, 28.34) and WHO clinical stage IV (AOR: 11.3, 95% CI: 3.5, 36.34) and underweight and overweight body mass index were (AOR: 2.6, 95% CI: 1.35, 4.83) and (AOR: 21.4, 95% CI: 8.24, 55.5), poor ART adherence (AOR: 4.24, 95% CI: 2.25, 7.98), alcohol consumption (AOR: 3.15, 95%: 1.69, 5.87), and smoking (AOR: 4.12, 95% CI: 2.32, 7.29) were associated with increased odds of mortality. Conclusion: The study underscores the importance of identifying and addressing baseline factors that contribute to mortality in HIV/TB co-infected patients. Interventions targeting factors like clinical staging, adherence to ART, and lifestyle habits could help reduce mortality rates in this population. VL - 13 IS - 3 ER -