Association between tuberculosis and depression on negative outcomes of tuberculosis treatment: A systematic review and meta-analysis
Autoři:
Paulo Ruiz-Grosso aff001; Rodrigo Cachay aff001; Adriana de la Flor aff003; Alvaro Schwalb aff001; Cesar Ugarte-Gil aff001
Působiště autorů:
Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru
aff001; School of Public Health, Universidad Peruana Cayetano Heredia, Lima, Peru
aff002; School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru
aff003; TB Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom
aff004
Vyšlo v časopise:
PLoS ONE 15(1)
Kategorie:
Research Article
prolekare.web.journal.doi_sk:
https://doi.org/10.1371/journal.pone.0227472
Souhrn
Background
Depression is a common comorbidity of tuberculosis (TB) and is associated with poor adherence to treatment of multiple disorders. We conducted a systematic review to synthesize the existing evidence on the relationship between depression and negative outcomes of TB treatment.
Methods
We systematically reviewed studies that evaluated depressive symptoms (DS) directly or indirectly through psychological distress (PD) and measured negative treatment outcomes of drug-sensitive pulmonary TB, defined as death, loss to follow-up, or non-adherence. Sources included PubMed, Global Health Library, Embase, Scopus and Web of Science from inception to August 2019.
Results
Of the 2,970 studies initially identified, eight articles were eligible for inclusion and two were used for the primary outcome meta-analysis. We found a strong association between DS and negative TB treatment outcomes (OR = 4.26; CI95%:2.33–7.79; I2 = 0%). DS were also associated with loss to follow-up (OR = 8.70; CI95%:6.50–11.64; I2 = 0%) and death (OR = 2.85; CI95%:1.52–5.36; I2 = 0%). Non-adherence was not associated with DS and PD (OR = 1.34; CI95%:0.70–2.72; I2 = 94.36) or PD alone (OR = 0.92; CI95%:0.81–1.05; I2 = 0%).
Conclusions
DS are associated with the negative TB treatment outcomes of death and loss to follow-up. Considerable heterogeneity exists in the definition of depression and outcomes such as non-adherence across the limited number of studies on this topic.
Klíčová slova:
Tuberculosis – Metaanalysis – Drug therapy – Extensively drug-resistant tuberculosis – Systematic reviews – Database searching – Depression – Global health
Zdroje
1. Duko B, Gebeyehu A, Ayano G. Prevalence and correlates of depression and anxiety among patients with tuberculosis at WolaitaSodo University Hospital and Sodo Health Center, WolaitaSodo, South Ethiopia, Cross sectional study. BMC Psychiatry. 2015;15: 214. doi: 10.1186/s12888-015-0598-3 26370894
2. Pan S-W, Yen Y-F, Feng J-Y, Su VY-F, Kou YR, Su W-J. The Risk of Depressive Disorder Among Contacts of Tuberculosis Patients in a TB-endemic Area: A Population-based Cohort Study. Medicine. 2015;94: e1870. doi: 10.1097/MD.0000000000001870 26512600
3. Ugarte-Gil C, Ruiz P, Zamudio C, Canaza L, Otero L, Kruger H, et al. Association of major depressive episode with negative outcomes of tuberculosis treatment. PLoS One. 2013;8: e69514. doi: 10.1371/journal.pone.0069514 23922728
4. World Health Organization. Global Tuberculosis Report 2018. In: World Health Organization [Internet]. 18 Sep 2018 [cited 4 Mar 2019]. https://www.who.int/tb/publications/global_report/en/
5. World Health Organization. Global Tuberculosis Report 2013. In: World Health Organization [Internet]. 2013 [cited 7 Mar 2019]. https://apps.who.int/iris/bitstream/handle/10665/91355/9789241564656_eng.pdf?sequence=1&isAllowed=y
6. Alipanah N, Jarlsberg L, Miller C, Linh NN, Falzon D, Jaramillo E, et al. Adherence interventions and outcomes of tuberculosis treatment: A systematic review and meta-analysis of trials and observational studies. PLoS Med. 2018;15: e1002595. doi: 10.1371/journal.pmed.1002595 29969463
7. Munro SA, Lewin SA, Smith HJ, Engel ME, Fretheim A, Volmink J. Patient adherence to tuberculosis treatment: a systematic review of qualitative research. PLoS Med. 2007;4: e238. doi: 10.1371/journal.pmed.0040238 17676945
8. World Health Organization. Depression and other common mental disorders: global health estimates. World Health Organization; 2017. Report No.: WHO/MSD/MER/2017.2. https://apps.who.int/iris/handle/10665/254610
9. Li Z, Li Y, Chen L, Chen P, Hu Y. Prevalence of Depression in Patients With Hypertension: A Systematic Review and Meta-Analysis. Medicine. 2015;94: e1317. doi: 10.1097/MD.0000000000001317 26252317
10. Andreoulakis E, Hyphantis T, Kandylis D, Iacovides A. Depression in diabetes mellitus: a comprehensive review. Hippokratia. 2012;16: 205–214. 23935284
11. Pachi A, Bratis D, Moussas G, Tselebis A. Psychiatric Morbidity and Other Factors Affecting Treatment Adherence in Pulmonary Tuberculosis Patients. Tuberc Res Treat. 2013;2013. doi: 10.1155/2013/489865 23691305
12. Ambaw F, Mayston R, Hanlon C, Alem A. Depression among patients with tuberculosis: determinants, course and impact on pathways to care and treatment outcomes in a primary care setting in southern Ethiopia—a study protocol. BMJ Open. 2015;5: e007653. doi: 10.1136/bmjopen-2015-007653 26155818
13. Yen Y-F, Chung M-S, Hu H-Y, Lai Y-J, Huang L-Y, Lin Y-S, et al. Association of pulmonary tuberculosis and ethambutol with incident depressive disorder: a nationwide, population-based cohort study. J Clin Psychiatry. 2015;76: e505–11. doi: 10.4088/JCP.14m09403 25919843
14. Kiecolt-Glaser JK, Glaser R. Depression and immune function: central pathways to morbidity and mortality. J Psychosom Res. 2002;53: 873–876. doi: 10.1016/s0022-3999(02)00309-4 12377296
15. Berg J, Nyamathi A, Christiani A, Morisky D, Leake B. Predictors of screening results for depressive symptoms among homeless adults in Los Angeles with latent tuberculosis. Res Nurs Health. 2005;28: 220–229. doi: 10.1002/nur.20074 15884031
16. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. In: The Ottawa Hospital Research Institute [Internet]. [cited 20 Sep 2019]. http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp
17. Study Quality Assessment Tools. In: NIH—National Heart, Lung, and Blood Institute [Internet]. [cited 20 Sep 2019]. https://www.nhlbi.nih.gov/health-topics/study-quality-assessment-tools
18. Yan S, Zhang S, Tong Y, Yin X, Lu Z, Gong Y. Nonadherence to Antituberculosis Medications: The Impact of Stigma and Depressive Symptoms. Am J Trop Med Hyg. 2018;98: 262–265. doi: 10.4269/ajtmh.17-0383 29141744
19. WHO. Definitions and reporting framework for tuberculosis. In: WHO [Internet]. 2014 [cited 4 Mar 2019]. http://www.who.int/tb/publications/definitions/en/
20. Ambaw F, Mayston R, Hanlon C, Medhin G, Alem A. Untreated depression and tuberculosis treatment outcomes, quality of life and disability, Ethiopia. Bull World Health Organ. 2018;96: 243–255. doi: 10.2471/BLT.17.192658 29695881
21. Morisky DE, Ang A, Krousel-Wood M, Ward HJ. Predictive validity of a medication adherence measure in an outpatient setting. J Clin Hypertens. 2008;10: 348–354.
22. Govender S, Mash R. What are the reasons for patients not adhering to their anti-TB treatment in a South African district hospital? S Afr Fam Pract. 2009;51: 512–516.
23. Theron G, Peter J, Zijenah L, Chanda D, Mangu C, Clowes P, et al. Psychological distress and its relationship with non-adherence to TB treatment: a multicentre study. BMC Infect Dis. 2015;15: 253. doi: 10.1186/s12879-015-0964-2 26126655
24. Tola HH, Shojaeizadeh D, Garmaroudi G, Tol A, Yekaninejad MS, Ejeta LT, et al. Psychological distress and its effect on tuberculosis treatment outcomes in Ethiopia. Glob Health Action. 2015;8: 11.
25. Peltzer K, Naidoo P, Matseke G, Louw J, McHunu G, Tutshana B. Prevalence of psychological distress and associated factors in tuberculosis patients in public primary care clinics in South Africa. BMC Psychiatry. 2012;12: 89. doi: 10.1186/1471-244X-12-89 22839597
26. Naidoo P, Peltzer K, Louw J, Matseke G, McHunu G, Tutshana B. Predictors of tuberculosis (TB) and antiretroviral (ARV) medication non-adherence in public primary care patients in South Africa: a cross sectional study. BMC Public Health. 2013;13: 10.
27. Brooks RT, Beard J, Steel Z. Factor structure and interpretation of the K10. Psychol Assess. 2006;18: 62–70. doi: 10.1037/1040-3590.18.1.62 16594813
28. Kessler RC, Barker PR, Colpe LJ, Epstein JF, Gfroerer JC, Hiripi E, et al. Screening for serious mental illness in the general population. Arch Gen Psychiatry. 2003;60: 184–189. doi: 10.1001/archpsyc.60.2.184 12578436
29. Grenard JL, Munjas BA, Adams JL, Suttorp M, Maglione M, McGlynn EA, et al. Depression and medication adherence in the treatment of chronic diseases in the United States: a meta-analysis. J Gen Intern Med. 2011;26: 1175–1182. doi: 10.1007/s11606-011-1704-y 21533823
30. DiMatteo MR, Lepper HS, Croghan TW. Depression is a risk factor for noncompliance with medical treatment: meta-analysis of the effects of anxiety and depression on patient adherence. Arch Intern Med. 2000;160: 2101–2107. doi: 10.1001/archinte.160.14.2101 10904452
31. Mayston R, Kinyanda E, Chishinga N, Prince M, Patel V. Mental disorder and the outcome of HIV/AIDS in low-income and middle-income countries: a systematic review. AIDS. 2012;26 Suppl 2: S117–35.
32. Bowser DM, Utz S, Glick D, Harmon R. A systematic review of the relationship of diabetes mellitus, depression, and missed appointments in a low-income uninsured population. Arch Psychiatr Nurs. 2010;24: 317–329. doi: 10.1016/j.apnu.2009.12.004 20851323
33. Wang Y-Y, Wang S-B, Ungvari GS, Yu X, Ng CH, Xiang Y-T. The assessment of decision-making competence in patients with depression using the MacArthur competence assessment tools: A systematic review. Perspect Psychiatr Care. 2018;54: 206–211. doi: 10.1111/ppc.12224 28543187
34. Bosaipo NB, Foss MP, Young AH, Juruena MF. Neuropsychological changes in melancholic and atypical depression: A systematic review. Neurosci Biobehav Rev. 2017;73: 309–325. doi: 10.1016/j.neubiorev.2016.12.014 28027956
35. Ahern E, Semkovska M. Cognitive functioning in the first-episode of major depressive disorder: A systematic review and meta-analysis. Neuropsychology. 2017;31: 52–72. doi: 10.1037/neu0000319 27732039
36. Rock PL, Roiser JP, Riedel WJ, Blackwell AD. Cognitive impairment in depression: a systematic review and meta-analysis. Psychol Med. 2014;44: 2029–2040. doi: 10.1017/S0033291713002535 24168753
37. Duraisamy K, Mrithyunjayan S, Ghosh S, Nair SA, Balakrishnan S, Subramoniapillai J, et al. Does Alcohol consumption during multidrug-resistant tuberculosis treatment affect outcome?. A population-based study in Kerala, India. Ann Am Thorac Soc. 2014;11: 712–718. doi: 10.1513/AnnalsATS.201312-447OC 24735096
38. Culqui DR, Munayco E CV, Grijalva CG, Cayla JA, Horna-Campos O, Alva Ch K, et al. Factors associated with the non-completion of conventional anti-tuberculosis treatment in Peru. Arch Bronconeumol. 2012;48: 150–155. doi: 10.1016/j.arbres.2011.12.008 22377140
39. Blanco C, Alegría AA, Liu S-M, Secades-Villa R, Sugaya L, Davies C, et al. Differences among major depressive disorder with and without co-occurring substance use disorders and substance-induced depressive disorder: results from the National Epidemiologic Survey on Alcohol and Related Conditions. J Clin Psychiatry. 2012;73: 865–873. doi: 10.4088/JCP.10m06673 22480900
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