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Erschienen in: BMC Medicine 1/2021

Open Access 01.12.2021 | Research article

Tuberculosis related disability: a systematic review and meta-analysis

verfasst von: Kefyalew Addis Alene, Kinley Wangdi, Samantha Colquhoun, Kudakwashe Chani, Tauhid Islam, Kalpeshsinh Rahevar, Fukushi Morishita, Anthony Byrne, Justin Clark, Kerri Viney

Erschienen in: BMC Medicine | Ausgabe 1/2021

Abstract

Background

The sustainable development goals aim to improve health for all by 2030. They incorporate ambitious goals regarding tuberculosis (TB), which may be a significant cause of disability, yet to be quantified. Therefore, we aimed to quantify the prevalence and types of TB-related disabilities.

Methods

We performed a systematic review of TB-related disabilities. The pooled prevalence of disabilities was calculated using the inverse variance heterogeneity model. The maps of the proportions of common types of disabilities by country income level were created.

Results

We included a total of 131 studies (217,475 patients) that were conducted in 49 countries. The most common type of disabilities were mental health disorders (23.1%), respiratory impairment (20.7%), musculoskeletal impairment (17.1%), hearing impairment (14.5%), visual impairment (9.8%), renal impairment (5.7%), and neurological impairment (1.6%). The prevalence of respiratory impairment (61.2%) and mental health disorders (42.0%) was highest in low-income countries while neurological impairment was highest in lower middle-income countries (25.6%). Drug-resistant TB was associated with respiratory (58.7%), neurological (37.2%), and hearing impairments (25.0%) and mental health disorders (26.0%), respectively.

Conclusions

TB-related disabilities were frequently reported. More uniform reporting tools for TB-related disability and further research to better quantify and mitigate it are urgently needed.

Prospero registration number

CRD42019147488
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s12916-021-02063-9.
Kefyalew Addis Alene and Kinley Wangdi contributed equally to this work.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
BCG
Bacillus Calmette–Guerin
COPD
Chronic obstructive pulmonary disease
COVID-19
Coronavirus disease
DALYs
Disability-adjusted life years
DR
Drug-resistant
DR-TB
Drug-resistant TB
DS
Drug-sensitive
EPTB
Extra-pulmonary TB
HICs
High-income countries
HIV
Human immunodeficiency virus
LICs
Low-income countries
LMICs
Low- and middle-income countries
MDR-TB
Multidrug-resistant tuberculosis
PICO
Population, Intervention, Comparator, Outcome
PRISMA
Preferred Reporting Items for Systematic Reviews and Meta-Analyses
PROSPERO
Prospective Register of Systematic Reviews
PTSD
Post-traumatic stress disorder
WPRO
World Health Organization Regional Office for the Western Pacific
TB
Tuberculosis
UMICs
Upper middle-income countries
WHO
World Health Organization

Background

Tuberculosis (TB) is a significant cause of death and disability worldwide, killing approximately 1.2 million people of an estimated 10 million new cases in 2019 [1]. While disability is a recognized consequence of TB, the prevalence of TB-related disability has not been estimated.
Disability includes any impairment or activity limitation as well as participation restriction [2]. Globally, low- and middle-income countries account for almost two-thirds of years lived with a disability [3]. While not well reported in the literature, TB can result in either temporary or permanent disability, arising from the disease process itself or side effects related to TB treatment, particularly related to second-line medicines used to treat drug-resistant (DR)-TB. TB service interruptions in high burden TB countries due to the ongoing COVID-19 pandemic may increase TB-related morbidity, disability, and mortality [4, 5].
Physical disabilities related to TB vary according to the bodily site affected by TB. For example, people with a history of pulmonary TB may suffer from a range of long-lasting respiratory-related sequelae such as impaired lung function (obstructive, restrictive, reduced diffusing capacity, or reduced lung volumes), chronic obstructive pulmonary disease (COPD), bronchiectasis, aspergillosis, pulmonary hypertension, or pulmonary fibrosis [69]. The global burden of COPD as a consequence of TB has recently been estimated to be 5.9 million disability-adjusted life years (DALYs) [10]. TB of the nervous system, affecting the meninges, brain, spinal cord, or cranial and peripheral nerves, can cause severe irreversible disability [11]. For example, spinal TB can result in paraparesis and quadriparesis due to spinal deformity and damage of the neural structures, often leading to permanent physical disabilities [12]. Some disabilities arise due to organ or tissue destruction in the host from TB disease, while others are a result of adverse effects of treatment. TB treatment is effective, prevents death, and limits disability, but certain medications have side effects which may result in temporary or permanent disability. Previous studies have demonstrated an increased prevalence of visual disturbance and hearing loss among people previously treated for DR-TB [13, 14]. However, some of the medicines that were used in these studies such as kanamycin and capreomycin are no longer recommended by the World Health Organization [15].
Mental health disorders may also be more prevalent among TB survivors than the general population [16, 17]. Mood disorders including anxiety and depression may be associated with TB disease, TB treatment, or factors not directly related to TB. Whereas the long treatment duration of 9–20 months for DR-TB results in disruptions to usual work, family, and social activities, TB patients may also be subjected to stigma and discrimination due to cultural norms or beliefs associated with TB, which can cause or exacerbate mental health disorders. Although not well studied, the effect of TB treatment on the cognitive development of children and adolescents as a result of disruption to schooling may also be significant [18].
Despite a growing interest in the long-term sequelae associated with TB, the global prevalence of TB-related disability is currently unknown. Describing the spectrum and prevalence of TB-related disabilities is crucial to inform service provision and policy making in countries where TB is common and to mitigate future disability in patients being treated for TB. In this systematic review, we aimed to quantify the global prevalence and types of TB-related disabilities.

Methods

Search strategy and selection criteria

We performed a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [19]. We searched PubMed, Embase, and Web of Science databases for studies that reported on permanent disability associated with TB, using pre-specified search terms. We checked the reference lists of included papers for additional relevant references and performed a backwards and forwards citation search. Our search strategy (Additional file 1) was developed by a senior research information specialist (JC) and respiratory physician (AB), both with extensive experience in conducting systematic reviews in health and medicine.
The screening of articles by title and abstract was carried out independently by three researchers (KW, KAA and SC) in Rayyan [20]. Full-text papers were then independently screened by four researchers (KW, KAA, CK, and SC) using eligibility criteria described below. Disagreement was resolved through discussion and consensus.

Inclusion criteria

Participants were people in all age groups with any type of TB (pulmonary and extra pulmonary TB, new and relapse, drug-sensitive (DS), and DR-TB), from all regions and countries. Our intervention of interest was TB treatment based on national and international guidelines for TB (for both DS and DR-TB). However, studies without a specific intervention (i.e., for those who did not specifically report that the patients were on TB treatment but which clearly stated that the patients had been diagnosed with TB) were also included.
Our outcomes of interest were the prevalence of TB patients who developed a permanent form of disability, detected or reported after TB diagnosis, and where TB disease or TB treatment may have contributed to the disability. Our definitions of disability are included in Additional file 2.
We included observational studies (e.g., cross-sectional, case-control, or cohort studies) and experimental epidemiological studies that reported data from the year 2000 until July 2019. Our research question in the PICO (Population, Intervention, Comparator, Outcome) format is included in Table 1.
Table 1
Research question formulated in the Population, Intervention, Comparator, and Outcome format for a systematic review on disabilities associated with tuberculosis
Population/Participants
Intervention
Comparator
Outcome
Patients with TB:
-DS and DR-TB
-Adults and children
-Pulmonary and extra-pulmonary
-All countries (i.e., global focus, low, middle- and high-income countries with low and high incidence of TB)
Receiving treatment for TB (DS or DR-TB)
No comparator
Physical or mental health disability (irreversible or long term), related to the disease process and/or TB treatment
DS drug susceptible, DR drug resistant, TB tuberculosis

Exclusion criteria

We excluded studies that reported temporary disabilities (for example, a mental health disorder attributable to an adverse event during treatment that was resolved by a change of medication). Descriptive epidemiological studies were also excluded (case reports and case series) as were other systematic reviews; scientific correspondence, posters, and conference abstracts; studies conducted in animals; and historical data reported before the year 2000.

Data extraction and quality assessment

Data were extracted into a Microsoft Excel 2016 spreadsheet (Microsoft, Redmond, Washington, USA) by four researchers (KW, SC, CK, and KA). The data extraction spreadsheet was pilot tested and refined before extraction. The lists of variables included in the data extraction tool are available in the Additional file 3. All included articles were assessed for quality using a modified Ottawa Newcastle quality assessment scoring tool [21].

Data analysis

Meta-analysis was performed to estimate the pooled prevalence of each form of disability using the inverse variance heterogeneity model. Stratified analyses were conducted by country income-level and TB type, separately for each disability when two or more studies were available on the outcome of interest (see Additional file 4 for details).
This review was registered in the Prospective Register of Systematic Reviews (PROSPERO, CRD42019147488). Ethical approval was not sought for this study as it includes an analysis of secondary data.

Results

Characteristics of the included studies

The search strategy yielded 3485 unique publications, 619 articles remained after the title and abstract screening. After full-text review, 124 publications (comprising 164 datasets) were included in the review. A backward and forward citation search found 410 publications, of which 53 were not identified in the original search; seven of these were subsequently included in the final analysis. Some studies reported more than one type of disability, and thus a total of 175 datasets (217,475 patients) from 131 unique studies were included (Fig. 1).
The characteristics of the included studies are presented in Table 2. The included studies were conducted in 49 countries. The majority of studies were conducted in India 24.6% (n=43) followed by South Africa 9.7% (n=17) and Brazil 5.1% (n=9). The mean age of study participants was 36.7 years (±16.3) and 59.6% of cases were male. More than one-third of studies (39%, n=68) reported that their study population had DS-TB, while 29.1% (n=51) included patients with DR-TB. The site of TB disease was not reported in 41.1% of studies (n=72), while 28.6% (n=50) and 16.0% (n=28) included patients with pulmonary TB (PTB) and extra-pulmonary TB (EPTB), respectively. More than half of the studies (52.9%, n=90) reported that disabilities were diagnosed during TB treatment.
Table 2
Characteristics of included studies
First author
Publication year
Country
Country income level
Type of TB
Years of data collection
Study design
Male proportion
Mean age
Sample size
Hearing impairment
       
 Seddon [22]
2012
South Africa
UMI
DR
2009–2010
Retrospective cohort
48.0
3.6
94
 Shean* [23]
2013
South Africa
UMI
DR
2002–2008
Retrospective cohort
53.9
 
115
 Ghafari [24]
2015
South Africa
UMI
DR
2010
Prospective cohort
45.0
7
25
 Sagwa [25]
2015
Namibia
UMI
DR
2004–2014
Retrospective cohort
56.09
36.4
353
 Appana [26]
2016
South Africa
UMI
DR
2016
Prospective cohort
52.0
34
52
 Khoza-Shangase [27]
2016
South Africa
UMI
DS & DR (I)
2012–2014
Retrospective cohort
46.0
36.6
191
 Trebucq* [28]
2018
Multiple countries
LI
DR
2013–2015
Prospective cohort
66.3
34
1006
 Harouna [29]
2019
Niger
LI
DR
2008–2013
Retrospective
70.0
17
10
 Cohen [30]
2019
Malawi
LI
DS & DR (I)
2013–2014
Prospective cohort
64.6
37
158
 Shibeshi [31]
2019
Ethiopia
LI
DR
2010–2015
Retrospective cohort
54.2
32
879
 Bloss [32]
2010
Latvia
UMI
DR
2000–2003
Retrospective cohort
76.0
42
996
 Ribeiro [33]
2015
Portugal
HI
DR
2009–2012
Prospective
36.4
41
10
 Batirel [34]
2015
Multiple countries
UMI
DS
2000–2013
Retrospective cohort
52.0
51
314
 Lima [35]
2006
Brazil
UMI
DS & DR (I)
2000–2001
Cross-sectional
79.4
38.8
36
 Vasconselos [36]
2017
Brazil
UMI
DR
2006–2014
Retrospective
53.0
 
172
 Kittikraisak [37]
2008
Thailand
LMI
DS & DR (I)
2005–2008
Prospective
70.0
35
493
 Bharat [38]
2014
India
LMI
DR
2012–2013
Retrospective cohort
63.28
42
207
 Nataprawira* [39]
2016
Indonesia
LMI
DS
2007–2010
Prospective cohort
55.2
3.7
29
 Prasad* [40]
2016
India
LMI
DR
2009–2010
Prospective cohort
69.4
29.3
98
 Sharma [41]
2016
India
LMI
DR
2012
Prospective
68.0
37.5
100
 Synmon* [42]
2017
India
LMI
DS & DR (NI)
2013–2015
Prospective cohort
61.3
32.3
93
 Justin [43]
2019
India
LMI
DR
2006–2015
Retrospective cohort
46.7
29
30
 Piparva [44]
2018
India
LMI
DR
2014–2015
Retrospective cohort
66.7
32.8
108
 Hoa [45]
2015
Vietnam
LMI
DR
2010
Cross-sectional
65.0
 
282
 Lebogang [46]
2012
South Africa
UMI
DR
~ 2011
Cross-sectional
49.0
33
53
 Singla* [47]
2009
India
LMI
DR
2002–2006
Prospective cohort
53.9
 
126
 Aznar* [48]
2019
Angola
UMI
DR
2013–2015
Prospective cohort
57.4
 
216
Mental health disorders
       
 Issa [49]
2009
Nigeria
LI
-
2008
Retrospective cohort
63.1
35.1
65
 Deribew [50]
2010
Ethiopia
LI
DS
2009
Case control
41.8
33.4
620
 Ige [51]
2011
Nigeria
LI
DS
2010
Prospective cohort
31.8
27.1
88
 Shean* [23]
2013
South Africa
UMI
DR
2002–2008
Retrospective cohort
53.9
 
115
 van den Heuvel [52]
2013
Zambia
LMI
DS
2009–2010
Cross-sectional
54.0
33.9
231
 Peltzer [53]
2013
South Africa
UMI
DS
2011
Cross-sectional
54.5
36.2
4225
 Peltzer [54]
2013
South Africa
UMI
DS
2011
Cross-sectional
54.5
36.1
4900
 Xavier [55]
2015
Angola
UMI
DS & DR (I)
2013–2015
Cross-sectional
58.0
 
18
 Duko [56]
2015
Ethiopia
LI
DS
2014
Prospective
 
34.5
417
 Kehbila [57]
2016
Cameroon
LMI
DS
2015
Cross-sectional
49.7
36.9
265
 Ambaw [58]
2017
Ethiopia
LI
DS
2014–2016
Cross-sectional
54.2
30
657
 Tomita [59]
2019
South Africa
UMI
DR
2015–2016
Prospective cohort
22.0
 
141
 Dasa [60]
2019
Ethiopia
LI
DS & DR (I)
2017
Cross-sectional
59.0
39
403
 Aamir [61]
2010
Pakistan
LMI
DS & DR (I)
2007–2008
Prospective
  
65
 Hadadi* [62]
2010
Iran
UMI
DS
2003–2005
Retrospective
61.3
39.8
403
 Kaukab [63]
2015
Pakistan
LMI
DR
2014
Randomized control trial
45.7
 
70
 Tariq [64]
2018
Pakistan
LMI
DS
2017
Case control
59.6
 
151
 Khan [65]
2018
Pakistan
LMI
DR
2016–2017
Cross-sectional
52.0
31
1279
 Bloss [32]
2010
Latvia
UMI
DR
2000–2003
Retrospective cohort
76.0
42
996
 Yilmaz [66]
2016
Turkey
UMI
DS
2014–2015
Cross-sectional
63.0
45.5
208
 Soriano-Arandes* [67]
2019
Spain
HI
DS & DR (I)
2005–2013
Retrospective cohort
50.7
1.1
134
 dos-Santos [68]
2017
Brazil
UMI
-
2013
Cross-sectional
69.8
44.6
86
 Castro-Silva [69]
2018
Brazil
UMI
DS
2015–2016
Cross-sectional
62.6
40.7
98
 Bharat [38]
2014
India
LMI
DR
2012–2013
Retrospective cohort
63.28
42
207
 Pardal [70]
2015
India
LMI
DS
2014–2015
Case control
100.0
 
100
 Galhenage [71]
2016
Sri Lanka
LMI
DS
2014–2015
Cross-sectional
73.0
46.4
430
 Prasad* [40]
2016
India
LMI
DR
2009–2010
Prospective cohort
69.4
29.3
98
 Akaputra [72]
2017
Indonesia
LMI
DS
2016
Cross-sectional
74.5
 
55
 Salodia [73]
2019
India
LMI
DS & DR (I)
2018
Cross-sectional
57.5
38.4
106
 Masumoto [74]
2014
Philippines
LMI
DS
2012
Cross-sectional
65.4
41.9
561
 Shen [75]
2014
Taiwan
HI
-
2000–2001
Case control
67.8
60.9
9092
 Lee [76]
2017
Taiwan
HI
-
2013–2014
Cross-sectional
65.5
65.2
84
 Xu [77]
2017
China
UMI
DS
 
Cross-sectional
70.5
53.6
372
 Gong [78]
2018
China
UMI
-
2013–2014
Cross-sectional
67.4
47.7
1342
 Singla* [47]
2009
India
LMI
DR
2002–2006
Prospective cohort
53.9
26
126
 Aznar* [48]
2019
Angola
UMI
DR
2013–2015
Prospective cohort
57.4
30
216
Musculoskeletal impairment
       
 Hadadi* [62]
2010
Iran
LMI
DS
2003–2005
Retrospective
61.3
39.8
403
 Tinsa [79]
2019
Tunisia
LMI
DS
2005–2007
Retrospective cohort
41.5
7.5
41
 Sezgi [80]
2014
Turkey
UMI
DS
2005–2010
Retrospective cohort
60.9
 
21
 Batirel [34]
2015
Multiple countries
UMI
DS
2000–2013
Retrospective cohort
52.0
51
314
 Soriano-Arandes* [67]
2019
Spain
HI
DS & DR (I)
2005–2013
Retrospective cohort
50.7
1.1
134
 Samuel [81]
2011
India
LMI
DS
2003–2008
Retrospective cohort
68.7
38
16
 Kamara* [82]
2013
India
LMI
DS
2011
Cross-sectional
47.0
34
228
 Agarwal [83]
2017
India
LMI
DS
2010–2015
Retrospective
40.0
8.2
30
 Luo [84]
2018
China
UMI
DS
2009–2015
Retrospective
57.7
38.38
189
Neurological impairment
       
 Njoku [85]
2007
Nigeria
LI
DS
2000–2004
Prospective
77.2
 
92
 Trebucq* [28]
2018
Multiple countries
LI
DR
2013–2015
Prospective cohort
66.3
34
1006
 Cohen [30]
2019
Malawi
LI
DS & DR (I)
2013–2014
Prospective cohort
64.6
37
158
 Benzagmout [86]
2011
Morocco
LMI
DS
2001–2006
Retrospective cohort
64.9
9.1
37
 Shaikh [87]
2012
Pakistan
LMI
DS
2006–2011
Retrospective cohort
52.0
37.7
50
 Barungi [88]
2014
South Africa
UMI
DS
2009
Retrospective
50.0
2.7
36
 Quereshi [89]
2013
Pakistan
LMI
DS & DR (I)
2001–2010
Retrospective
57.5
36
87
 Alper [90]
2008
Turkey
UMI
DS & DR (I)
2000–2004
Retrospective cohort
58.3
34.5
12
 Bloss [32]
2010
Latvia
UMI
DR
2000–2003
Retrospective cohort
76.0
42
996
 Christensen [91]
2011
Denmark
HI
DS & DR (I)
2000–2008
Retrospective cohort
48.0
30
50
 Miftode [92]
2015
Romania
UMI
DS & DR
2004–2013
Retrospective cohort
59.0
29.3
204
 Batirel [34]
2015
Multiple countries
UMI
DS
2000–2013
Retrospective cohort
52.0
51
314
 Paulsrud [93]
2019
Denmark
HI
DS & DR (I)
2000–2015
Retrospective
29.0
4
21
 Soriano-Arandes* [67]
2019
Spain
HI
DS & DR (I)
2005–2013
Retrospective cohort
50.7
1.08
134
 Lucena [94]
2015
Brazil
UMI
DS
2010–2013
Cross-sectional
79.2
50.8
24
 Ramos [95]
2017
USA
HI
DS
2003–2011
Retrospective cohort
61.0
51
2789
 Karande [96]
2005
India
LMI
DS
2000–2003
Prospective
 
3.1
123
 Kalita [97]
2007
India
LMI
DS
2003–2006¥
Prospective cohort
58.5
33.2
65
 Wani [98]
2008
India
LMI
DS
2004–2007¥
Prospective
40.0
 
38
 Garg [99]
2010
India
LMI
DS
2005–2007
Prospective cohort
53.0
26
60
 Gunawardhana [100]
2012
Sri Lanka
LMI
DS
2010–2011
Prospective cohort
63.0
44
89
 Lisha* [101]
2012
India
LMI
DS
2008–2010
Cross-sectional
81.0
47
224
 Kamara* [82]
2013
India
LMI
DS
2011
Cross-sectional
47.0
34
228
 Nataprawira* [39]
2016
Indonesia
LMI
DS
2007–2010
Prospective cohort
55.2
3.7
29
 Synmon [42]
2017
India
LMI
DS & DR (NI)
2013–2015
Prospective cohort
61.3
32.3
93
 Justin [43]
2019
India
LMI
DR
2006–2015
Retrospective cohort
46.7
29
30
 Sheu [102]
2010
Taiwan
HI
DS
2000–2003
Retrospective cohort
63.9
 
2283
 Chen [103]
2014
Taiwan
HI
DS
2002–2006
Prospective
61.5
65.1
38
 Chen [104]
2015
Taiwan
HI
-
2009–2010
Case control
76.5
50.8
17
 Hoa [45]
2015
Vietnam
LMI
DR
2010
Cross-sectional
65.0
 
282
 Shen [105]
2016
Taiwan
HI
-
2000–2009
Retrospective cohort
71.9
63
100000
 Luo [84]
2018
China
UMI
DS
2009–2015
Retrospective cohort
57.7
38.38
189
 Aznar* [48]
2019
Angola
UMI
DR
2013–2015
Prospective
57.4
30
216
 Sheu [102]
2010
Taiwan
HI
-
2000–2003
Retrospective cohort
-
-
2283
Renal impairment
        
 Shean* [23]
2013
South Africa [106]
UMI
DR
2002–2008
Retrospective cohort
53.9
 
115
 Arnold [107]
2017
UK
HI
DR
2008–2014
Prospective
  
8
 Ramos [95]
2017
USA
HI
-
2003–2011
Retrospective cohort
61.0
51
2789
 Wagaskar [108]
2016
India
LMI
DS
2011–2013
 
58.1
36.2
31
 Aznar* [48]
2019
Angola
UMI
DR
2013–2015
Prospective
57.4
30
216
Respiratory impairment
       
 Issa [49]
2009/10
Nigeria
LMI
-
2008
Prospective cohort
63.1
35.1
67
 Maydell [109]
2010
South Africa
UMI
DS
2004–2007
Retrospective cohort
38.1
1.7
21
 Ngahane [110]
2015
Cameroon
LMI
DS
2014
Cross-sectional
54.3
34.2
269
 Manji [106]
2016
Tanzania
LI
DS
2014
Cross-sectional
60.5
 
501
 Chin [111]
2018
Zimbabwe
LMI
DS & DR (I)
2011–2016
Prospective cohort
 
41
175
 Fiogbe [112]
2019
Benin
LI
DS
2016
Cross-sectional
67.7
37
189
 Mkoko [113]
2019
South Africa
UMI
DS
2016
Retrospective
50.8
50.8
173
 Cohen [30]
2021
Malawi
LI
DS & DR (I)
2013–2014
Prospective cohort
64.6
37
158
 Baig [114]
2010
Pakistan
LMI
-
2007
Prospective cohort
76.5
53.4
47
 Radovic [115]
2016
Serbia
UMI
DS
2005–2012
Case control
80.0
58.8
40
 Soriano-Arandes* [67]
2019
Spain
HI
DS & DR (I)
2005–2013
Retrospective cohort
50.7
1.1
134
 Vashakidze [116]
2019
Georgia (Tbilisi)
LMI
DR
2009–2011
Cross-sectional
57.0
31.2
58
 Ramos [117]
2006
Brazil
UMI
DS
2000–2004
Retrospective cohort
 
30
218
 Morrone [118]
2007
Brazil
UMI
DS
2003
Prospective
66.6
35.2
75
 Byrne [119]
2017
Peru
UMI
DS & DR (I)
2014
Prospective cohort
57.6
29
177
 Godoy [120]
2012
Brazil
UMI
DR
2008–2010
Cross-sectional
67.0
43.7
18
 Nihues [121]
2015
Brazil
UMI
-
2002–2012
Cross-sectional
52.1
40
121
 Maguire [122]
2009
Indonesia
LMI
DS
2003–2004
Prospective cohort
66.7
29.1
69
 Singla [47]
2009
India
LMI
DR
2009
Cross-sectional
55.6
33.5
51
 Bhattacharyya [123]
2011
India
LMI
-
2006–2010
Retrospective cohort
  
161
 Lisha* [101]
2012
India
LMI
DS
2008–2010
Cross sectional
81.0
47
224
 Das [124]
2014
India
LMI
DR
2012–2014
Retrospective cohort
57.1
34.7
45
 Gandhi [125]
2016
India
LMI
DS
2013
Case control
71.8
 
146
 Panda [126]
2016
India
LMI
-
 
Cross-sectional
71.3
38
101
 Deepak [127]
2017
India
LMI
-
2016
Case control
88.9
60.2
74
 Mukati [128]
2017
India
LMI
DR
2014
Prospective cohort
70.0
36.8
130
 Santra [129]
2017
India
LMI
DS
2014–2015
Cross sectional
84.1
53.4
218
 Patil [130]
2018
India
LMI
DS
2013–2017
Prospective
60.1
 
1000
 Singla [131]
2018
India
LMI
DR
2002–2006
Prospective
54.3
27.6
46
 Gupte [132]
2019
India
LMI
DS
2016–2019
Prospective cohort
52.0
32
172
 Lee [133]
2003
Republic of Korea
HI
DS
 
Prospective
56.0
65.2
11
 Lam [134]
2010
China
UMI
DS
2003–2006
Retrospective cohort
26.4
61.9
1954
 Hwang [135]
2014
Republic of Korea
HI
DS
2001–2002
Prospective
45.4
51
1384
 Rhee [136]
2013
Republic of Korea
HI
DS
2005–2012
Retrospective cohort
60.5
65.6
457
 Jung [137]
2015
Republic of Korea
HI
-
2008–2012
Prospective cohort
43.3
57.1
14967
 Jo [138]
2017
Republic of Korea
HI
DS
2010–2015
Retrospective
 
195
 Jianmin [139]
2018
China
UMI
DS
2008–2016
Retrospective cohort
67.5
76.8
104
 Park [140]
2018
Republic of Korea
HI
DS
2011–2017
Retrospective cohort
85.6
73.2
182
 Sun [141]
2018
China
UMI
DS
2013–2016
Retrospective cohort
49.6
34.5
135
 Akkara [142]
2013
India
LMI
DS
2011–2012
Prospective cohort
74
-
257
Visual impairment
        
 Shean* [23]
2013
South Africa
UMI
DR
2002–2008
Retrospective cohort
53.9
 
115
 Bloss [32]
2010
Latvia
UMI
DR
2000–2003
Retrospective cohort
76.0
42
996
 Urzua [143]
2017
Chile; Spain
HI
DS
2002–2012
Retrospective cohort
25.7
54.9
35
 Gunasekeran [144]
2018
UK
HI
DS
2007–2014
Retrospective cohort
53.4
48.5
354
 Bharat [38]
2014
India
LMI
DR
2012–2014
Retrospective cohort
63.3
42
207
 Soumyava [145]
2014
India
LMI
DS
2011–2012
Retrospective cohort
67.5
34.4
61
 Nataprawira* [39]
2016
Indonesia
LMI
DS
2007–2010
Prospective cohort
55.2
3.67
29
 Synmon* [42]
2017
India
LMI
DS & DR (NI)
2013–2015
Prospective cohort
61.3
32.3
93
 Hsia [146]
2015
Taiwan
HI
-
2000–2010
Retrospective cohort
67.9
56
6994
Others^
 Satti [147]
2011
Lesotho
LMI
DR
2007–2009
Retrospective cohort
60
-
186
 Jo [138]
2017
Republic of Korea
HI
DS
2010–2015
Retrospective cohort
67
63.5
195
 Lisha [101]
2012
India
LMI
DS
 
Cross-sectional
  
224
 Wani [98]
2008
India
LMI
DS
 
Prospective cohort
  
38
 Harouna [29]
2019
Niger
LI
DR
2008–2013
Retrospective cohort
84
31
110
 Prakash [148]
2017
India
LMI
 
2008–2013
Prospective cohort
55
11.3
44
AFR African Region, SEAR South-East Asia Region, EUR European Region, EMR Eastern Mediterranean Region, PAHO Pan American Health Organization, WPR Western Pacific Region, LI low-income, LMI lower middle-income, UMI upper middle-income, HI high-income, DS drug sensitive TB, DR drug-resistant TB, DS & DR (I) drug-sensitive and drug-resistant TB with injectables for treatment, DS & DR (NI) drug-sensitive and drug-resistant TB with no injectable
*Indicates studies with more than one disability
Burkina Faso, Burundi, Benin, Democratic Republic of Congo, Cote d’Ivoire, Cameroon, Niger, Rwanda
Turkey, Egypt, Albania, Greece
¥Exact year of study not given
^Others include hypothyroidism, diabetes, carcinoma, endocrinopathies, and hepatic failure

Prevalence of disabilities

The review showed that the most common type of disabilities were mental health disorders (23.1%), respiratory impairment (20.7%), musculoskeletal impairment (17.1%), hearing impairment (14.5%), visual impairment (9.8%), renal impairment (5.7%), and neurological impairment (1.6%).

Sources of heterogeneity

There was large heterogeneity in the prevalence of disability. Two variables, namely country income level and type of TB, were identified as the source of heterogeneity across all types of disability and therefore were used as the primary variables of stratification.

Prevalence of disabilities by country income level

Table 3 shows the number of studies and the prevalence of disabilities associated with TB, stratified by country income level. A total of 43 studies reported respiratory impairment. Nearly two-thirds of patients in LICs (61.2%) and just over half in LMICs (56.1%) experienced some form of respiratory impairment. The prevalence was low among HICs (14.9%) and UMICs (15.3%) (Fig. 2). Similarly, the highest prevalence of patients with mental health disorders was observed among patients in LICs (42%) followed by LMICs (31.3%), UMICs (30.6%), and HICs (4.3%; Fig. 3). The prevalence of patients with neurological function impairment was highest in LMICs (25.6%) and UMICs (15.9%) and lowest in LICs (5.9%) and HICs (1.3%; Fig. 4). The highest prevalence of TB patients who experienced hearing impairment (59.1%) was reported in HICs and UMICs 27.4% and 11.0% and 5% were reported from LMICs and LICs, respectively (Fig. 5).
Table 3
Pooled prevalence of mental health disorders, respiratory impairment, musculoskeletal impairment, hearing impairment, visual impairment, and neurological impairment, stratified by study characteristics
Categories
Respiratory impairment
 
Mental health disorders
 
Hearing impairment
 
Neurological impairment
 
Visual impairment
 
Musculoskeletal impairment
Number of studies
Prevalence of disabilities
 
Number of studies
Prevalence (%)
 
Number of studies
Prevalence of disabilities
 
Number of studies
Prevalence of disabilities
 
Number of studies
Prevalence of disabilities
 
Number of studies
Prevalence of disabilities
Overall
43
20.7
 
41
23.1
 
27
14.5
 
33
1.6
 
9
9.8
 
9
17.1
Countries income level
                 
 High-income
9
14.9
 
3
4.3
 
1
59.1
 
9
1.3
 
3
11.1
 
1
2.5
 Upper middle-income
12
15.3
 
14
30.6
 
11
27.4
 
8
15.9
 
2
3.1
 
4
32.5
 Lower middle-income
19
56.1
 
18
31.3
 
11
11.0
 
13
25.6
 
4
10.7
 
4
4.7
 Low-income
3
61.2
 
6
42.0
 
4
5.0
 
3
5.9
 
-
-
 
-
-
Type of TB
                 
 Drug susceptible
24
33.1
 
24
21.9
 
2
2.3
 
17
12.5
 
4
11.9
 
8
20.2
 Drug resistant
7
58.7
 
7
26.0
 
20
15.0
 
6
4.6
 
3
2.7
 
-
-
 Drug susceptible and drug resistant (no injectable)
-
-
 
-
-
 
1
2.6
 
3
28.5
 
1
6.5
 
-
-
 Drug susceptible and drug resistant (injectable)
4
33.1
 
6
20.7
 
3
25.0
 
5
37.2
 
-
-
 
1
2.5
Study design
                 
 Cohort
28
18.1
 
15
23.2
 
24
14.5
 
28
1.5
 
9
9.8
 
8
23.0
 Cross-sectional
10
54.5
 
22
33.3
 
3
13.6
 
4
6.8
 
-
-
 
1
2.7
 Case control
5
47.9
 
4
05.0
 
-
-
 
1
30.5
 
-
-
 
-
-
HIV (%)
                 
 < 1
5
14.7
 
5
4.9
 
3
2.7
 
5
9.0
 
1
1.1
 
3
21.2
 1–50
9
51.8
 
12
31.5
 
10
12.5
 
11
8.2
 
3
3.3
 
1
38.2
 51–100
3
38.9
 
6
30.0
 
3
22.5
 
12
65.1
 
.
-
 
-
-
 Not recorded
26
18.8
 
18
38.5
 
11
26.4
 
16
1.3
 
5
11.5
 
5
12.8
Timing of disability diagnosis
                 
 Before TB treatment
9
17.6
 
1
64.2
 
-
-
 
6
8.9
 
1
75.0
 
1
36.9
 During TB treatment
6
61.0
 
35
22.0
 
22
14.7
 
11
1.23
 
4
3.0
 
6
12.4
 After TB treatment
27
19.3
 
2
19.8
 
4
14.1
 
14
40.9
 
4
11.1
 
2
4.0
 Not recorded
1
63.2
 
3
44.7
 
1
4.3
 
2
5.7
 
-
-
 
-
-
Dash line (-) indicates that there was no available study for the sub-group analysis

Prevalence of disabilities by the type of TB

Among patients with DS-TB, the prevalence of respiratory impairment was 33.1% while 21.9% of patients reported mental disorders, 12.5% reported neurological impairment, 11.9% reported visual impairment, and 2.3% reported hearing impairment (Table 3). Among patients with DR-TB, the prevalence of patients reporting respiratory impairment was 58.7% while 26% reported mental disorder, 15% reported hearing impairment, 4.6% reported neurological impairment, and 2.7% reported visual impairment. Studies including patients with DS-TB and DR-TB (with the inclusion of an injectable agent) reported that 37.2% of patients had a neurological impairment, 33.1% had respiratory impairment, 25% had a hearing impairment, and 20.7% had a mental disorder, with none of the studies reporting visual impairment. Neurological impairment was also high in studies which included DS-TB and DR-TB patients who did not receive an injectable agent (28.5%). Additional information on disabilities by HIV status, timing of disability diagnosis, and study design is provided in Table 3.

Quality assessment

The quality of included studies was low to moderate overall, with a median score of 5 points (the maximum score is 9 points). Of the included 131 studies, only 11 studies had a score of 8 or 9 points, regarded as high-quality studies. The remaining studies scored 7 points or less, with 28 of them scoring 4 points or lower, classified as a low-quality study. Additional file 5: Table S1 presents the results of the quality assessment scores and Additional file 6: Table S2 includes the quality assessment tools.

Discussion

This systematic review attempts to quantify the prevalence and types of TB-related disabilities. We found a substantial burden of TB-related disabilities, with four common types: (1) respiratory impairment, (2) hearing impairment, (3) mental health disorders, and (4) neurological impairment.

Respiratory impairment

Respiratory impairment was the most common disability identified in this review. There was inconsistency in how respiratory impairment was diagnosed and reported. However, the prevalence of respiratory impairment was heterogeneous when stratified by country income level. The highest prevalence was reported in LICs (61.2%) and LMICs (56.1%). This may correlate with the high burden of TB in these countries, difficulties in accessing health care, or poverty. Poverty is widely recognized as a risk factor for TB and may also result in respiratory impairment [149151]. High rates of respiratory impairment in LICs and LMICs may also be partially explained by low levels of health service coverage [152, 153]. High coverage of essential health services, including early access to TB diagnosis, treatment, and care, with appropriate monitoring of patients while on treatment, may minimize the long-term sequelae and disabilities associated with TB [154]. Other causes of lung diseases such as cigarette smoking and air pollution (indoor and outdoor) may contribute to the high prevalence of respiratory disabilities observed in LICs and LMICs [155, 156]. One systematic review reported a positive association between a history of TB treatment and chronic respiratory diseases, including COPD and bronchiectasis [157]. This association was much stronger in non-smokers and in high TB incidence countries [157]. WHO has recommended an integrated strategy to manage respiratory patients in primary health care settings with a focus on priority respiratory diseases, particularly TB [158].
Respiratory impairment was also higher among those with DR-TB. We found an almost twofold increase in the prevalence of respiratory impairment among patients with DR-TB (58.7%), compared with DS-TB (33.1%). This is consistent with previous research demonstrating a greater prevalence of COPD among successfully treated MDR-TB patients compared to patients treated for DS-TB and community controls [159]. This supports the notion of integration of DR-TB programs with respiratory health care. Importantly, there are currently no international guidelines that recommend screening for respiratory impairment after TB treatment, although there is interest in this from several clinical and public health groups [160]. Post TB treatment respiratory care including outpatient pulmonary rehabilitation may be beneficial for some TB survivors, especially in countries with a high burden of DR-TB. DR-TB treatment completion may be a possible entry point into these programs, where they exist. Similarly, national TB programs may want to consider how they provide incentives and enablers to patients with DR-TB so that they can monitor patients closely, or consider how they can link patients to services such as social protection schemes and disability services. Both are key interventions included in the End TB Strategy [161] and in many national TB strategic plans. While incentives and enablers are frequently provided, linkages to social protection and disability services are less frequently implemented.

Mental health disorders

Mental health disorders have historically been neglected as a focus in TB research [162164]. Our review revealed a high prevalence of mental health disorders such as depression, anxiety and mood disorders, post-traumatic stress disorder (PTSD), and psychosis among TB patients, with substantial variation by country income level. The highest prevalence of mental health disorders was reported in LICs (42%) and the lowest prevalence in HICs (4.3%). Although our study did not include comparison data for the general population, based on other literature, we note that the prevalence of mental health disorders among TB patients in our review is higher than the prevalence of mental health disorders among the general population [165]. The prevalence of mental health disorders in our review was similar to the prevalence of mental health disorders among people with other chronic diseases such as HIV infection [166], diabetes mellitus [167], and cancer [168], from previous systematic reviews.
The relationship between mental health disorders and TB may be specific to the socioeconomic context or other factors such as health care affordability. Also, it has been well documented that TB patients and their families frequently face stigma and discrimination [169, 170]. Depression, anxiety, and other mental health disorders could be connected to this experience of stigma, loss of identity, ongoing symptoms, and the socioeconomic consequences of TB [171]. Mental health disorders can contribute to an inability to complete TB treatment and subsequently to disability [172]. The high burden of mental health disorders associated with TB suggests that additional efforts are required to improve TB care [173, 174].

Hearing impairment

We found hearing impairment (hearing loss) among TB survivors to be common, particularly among patients with DR-TB or after taking second-line TB medications. The prevalence of hearing impairment among patients with DR-TB was 15%, which is seven times higher than the prevalence of hearing impairment among patients with DS-TB (2.3%). The disorder of hearing in patients on second-line TB medications, such as the aminoglycosides (i.e., amikacin, kanamycin, and streptomycin), is common [36, 175]. A previously published review of aminoglycoside-induced hearing impairment among TB patients also reported a high incidence of ototoxicity (7–90%) [176]. The appropriate use of TB medications should help health care providers prevent hearing loss among patients. Therefore, WHO now recommends MDR-TB treatment without the aminoglycosides [174].
We found that the prevalence of hearing impairment was higher in HICs (59%) and UMICs (27%) compared to LMICS (11%) and LICs (5%). This could be due to differences in diagnostic methods or the availability of diagnostic (auditory) equipment in HICs and UMICs to assess hearing impairment [22]. Ascertainment and/or publication bias may also be relevant here as few studies were available from LMICs and LICs. Different audiological assessment methods were used for the diagnosis of hearing impairment in our included studies, including otoscopy, pure tone audiometry, otoacoustic product emissions, and automated auditory brainstem response testing [22]. Audiometry was not always available for all patients to assess hearing impairment at baseline, during treatment, and after completion of TB treatment, to quantify the timeline of hearing loss. As a result, it was not possible to establish the main cause of hearing loss among patients with TB in this review. However the prevalence of hearing impairment in this review (14.6%) is substantially higher than the global estimates of people with disabling hearing loss in 2018 (6.1%) [177]. It is worthwhile to highlight the definition of hearing impairment as defined in this review and the local estimates may be different [174]. The hearing impairment could have a considerable effect on the quality of life, work, and social relationships [22, 178]. Therefore, hearing assessments for TB patients receiving aminoglycosides should be included as part of the management package. In addition, rehabilitation packages for those with hearing impairment should be offered routinely [22, 179].

Neurological impairment

The patients on the second-line injectable drugs reported more than 37% neurological impairment compared to patients without an injectable TB medication (28.5%). The most common types of TB-related neurological impairments reported in our review were paraplegia, hemiplegia, cranial nerve palsies, peripheral neuropathy, hydrocephalus, and visual loss. These neurological impairments were permanent and irreversible and therefore have long-term functional, social, economic, and psychological consequences for affected patients [180, 181]. TB of the central nervous system accounts for 5–10% of all EPTB globally, with TB meningitis, intracranial TB, and spinal TB being some of the most severe forms of TB [182, 183]. TB of the spine (or Pott’s disease) affects the intervertebral discs and adjacent vertebrae, which may result in vertebral collapse, destruction, skeletal deformities, and disability [184, 185]. In addition, compression of the spinal cord and/or nerves may result in neurologic deficits [186]. To reduce the burden of neurological deficits in children from TB meningitis, improving BCG vaccination coverage in countries with low coverage of BCG is an important intervention [187].
The findings of our review suggest a pressing need to prevent or screen for TB-related disability among TB patients and survivors. Strategies to prevent or reduce TB-related disability include improving access to health care, promoting early TB diagnosis, appropriate use of TB medications, and providing training for health care workers. Adverse event monitoring, pharmacovigilance, therapeutic drug monitoring, and providing incentives and enablers for patients for treatment adherence or compliance and report adverse events should be introduced as part of the TB treatment package. After TB treatment, care including follow-up and continued monitoring for possible disability or sequelae should be initiated urgently.

Limitations

This systematic review has several limitations. There was large heterogeneity in the prevalence of disabilities across studies which limited our ability to conduct a meta-analysis for all type of disabilities. There was also a large amount of missing data noted in our studies; for example, nearly 25% of studies had missing data for the type of TB, and HIV status was missing for 50% of the included studies. Therefore, we were unable to include these variables in the main analysis to explore the heterogeneity in these variables. In addition, in some studies, it was not possible to determine the temporal nature of the disability (i.e., whether disability occurred before, during, or after TB treatment) because the data were collected from studies that used cross-sectional study designs. For example, more than half of the papers (53%) included in the mental health impairment were cross-sectional studies. We may have some misclassification of disability for this reason. However, we attempted to explain this by conducting subgroup analysis. Moreover, we did not include studies published in languages other than English; 63 studies were excluded for this reason. Therefore, we may be missing important studies, from high TB and DR-TB burden countries such as China, the Russian Federation, and others. Lastly, as with all meta-analyses, the validity of the results is limited by the conduct and reporting of the studies from which the data were extracted and pooled.

Conclusions

TB-related disabilities are common affecting different body parts. The burden of TB-related disability varied by the income of country, susceptibility of TB, and second-line TB drugs. The commonly reported disabilities were respiratory impairment, hearing impairment, mental health disorders, and neurological impairment. Therefore, measures to prevent and reduce TB-related disabilities should be introduced urgently as a comprehensive TB treatment package.

Acknowledgements

Thank you for ANU and WHO WPRO for providing the opportunity to undertake this collaborative project.

Declarations

Not applicable
All authors read and approved the final manuscript.

Competing interests

The authors have no competing interests to declare.
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Metadaten
Titel
Tuberculosis related disability: a systematic review and meta-analysis
verfasst von
Kefyalew Addis Alene
Kinley Wangdi
Samantha Colquhoun
Kudakwashe Chani
Tauhid Islam
Kalpeshsinh Rahevar
Fukushi Morishita
Anthony Byrne
Justin Clark
Kerri Viney
Publikationsdatum
01.12.2021
Verlag
BioMed Central
Erschienen in
BMC Medicine / Ausgabe 1/2021
Elektronische ISSN: 1741-7015
DOI
https://doi.org/10.1186/s12916-021-02063-9

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