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Kallarakal and Cency: Clinical and socio-demographic profile, drug sensitivity pattern and treatment outcome of drug resistant DR TB patients registered for treatment at a tertiary care centre in South India


Introduction

TB disease where the bacilli is resistant to one or more anti TB drugs is known as Drug Resistant TB (DR TB). According to the findings of the National Drug Resistance Survey in India, 2014-2016; any drug resistance among new patients is 22.54%, among previously treated patients is 36.82% and among all patients is 28.02%; any Isoniazid resistance (16% in all with 11.6% in new and 25.09% in previously treated patients) being the driver for Rifampicin resistance; almost all Rifampicin Resistant -TB patients are resistant to Isoniazid with/without other first or second-line drugs; Multidrug Resistant-TB is 6.19% in all patients (2.84% among new and 11.6% among previously treated patients).1

The programmatic management of DR TB has resulted in varying treatment outcomes; with treatment success rates varying from 40 to 70% among various centres.2, 3, 4 Several socio-demographic and clinical factors may be responsible for the development of DR TB and poor treatment outcomes.

U Venkatesh et al conducted a cross sectional study to assess the epidemiological profile of MDR TB patients from Gorakhpur division admitted at DR TB centre of a tertiary care hospital.5 It was found that patients with previous history of irregular ATT, smoking and alcohol consumption and inadequate housing ventilation were associated with the development of drug resistant TB. Nearly 68.8% of patients were resistant to Isoniazid(H) and Rifampicin(R) and 18.5% were resistant to H, R and Streptomycin (S) followed by H, R and Ethambutol(E). Nearly 3.8% of patients were HIV positive and 7% had history of diabetes, 64.3% had low BMI.

In a study conducted in Western Maharashtra,6 treatment outcome of the patients was as follows: treatment success in 84(58%), died 28(19%), 28(19%) defaulted and failure in 14(9%). The study identified three predictors for successful treatment outcome: urban residence, patients with chest x ray findings of moderately advanced disease and patients whose DR TB status diagnosed by CBNAAT.

Analysis of 63 patients of MDR TB on DOTS Plus regimen was done at LG Hospital, TB Unit, Ahmedabad to analyse demographic, clinical, radiological and bacteriological profile, drug sensitivity pattern, adverse drug reactions and treatment outcome.7 Extensive lung lesions, cavitation, poor adherence to treatment, high initial bacterial load and BMI less than 18 were associated with poor outcome.

Programmatic management of DR TB services have been rapidly scaled up across the country to achieve the targets of the End TB Strategy including reduction in TB deaths to 95% and TB incidence to 90% by the year 2025.8 Early detection, immediate initiation of appropriate regimen and completion of treatment are vital for successful treatment outcomes. Treatment outcomes have been reported in only a few studies in India. Socio-demographic and clinical factors associated with treatment outcome have been inadequately studied.

Therefore, the objectives of the study were

  1. To assess the clinical and sociodemographic profile of drug resistant TB cases registered for standardized treatment at a tertiary care centre in South India.

  2. To identify their drug sensitivity pattern.

  3. To analyse their treatment outcome.

Materials and Methods

A cross sectional study of drug resistant TB cases registered for standardized treatment at a tertiary care centre in South India was conducted. The DR TB cases were diagnosed from a RNTCP quality-assured Culture and DST laboratory by a RNTCP endorsed testing method. The DR TB cases registered for treatment between January 2012 to December 2019 were enrolled.

The patient data was collected from treatment register at the District TB Centre. Permission was obtained from District and State TB Officer. Ethical clearance was obtained from Institutional Ethical Committee, Government Medical College, Idukki.

The DR TB patients were classified according to the standard definition as:

Mono-resistance (MR): A TB patient, whose biological specimen is resistant to one first-line anti-TB drug only.

Poly-Drug Resistance (PDR): A TB patient, whose biological specimen is resistant to more than one first-line anti-TB drug, other than both Isoniazid (H) and Rifampicin (R).

Multi Drug Resistance (MDR): A TB patient, whose biological specimen is resistant to both Isoniazid and Rifampicin, with or without resistance to other first line drugs.

Rifampicin Resistance (RR): Resistance to Rifampicin detected; with or without resistance to other anti-TB drugs excluding H.

Extensive Drug Resistance (XDR): A MDR TB case whose biological specimen is additionally resistant to a fluoroquinolone and a second-line injectable anti TB drug.

The demographic details of the patients were collected. Socioeconomic status was assessed using Modified Kuppuswamy’s scale. 9 Clinical, bacteriological and radiological characteristics of the patients were obtained. Chest radiographs of every patient were classified according to the National Tuberculosis Association of USA (1961). 10

  1. Minimal: Non cavitary lesions involving one or both lungs but the volume of involvement regardless of distribution less than or equal to one zone.

  2. Moderately advanced: More advanced lesions than minimal but the total involvement not more than the volume of one lung. Cavities, if present, not to exceed a total diameter of 4 cm.

  3. Far advanced (extensive): Any lesion more advanced than moderate.

The drug sensitivity pattern and treatment regimen were noted. Conventional MDR TB regimen was the standardized treatment regimen for MDR/RR patients prior to the Programmatic Management of Drug Resistant TB guidelines in 2019. Shorter MDR TB regimen is given to patient with MDR/RR pulmonary and extra pulmonary TB after excluding DST and non-DST based criteria. The All Oral longer MDR TB regimen is introduced in the guidelines for Programmatic Management of Drug Resistant TB under National Tuberculosis Elimination Programme (NTEP) in the year 2019. The All-Oral H mono/poly regimen is given in Isoniazid-resistant TB patients.

Any change in treatment regimen, extension or interruption of treatment were appended. The treatment outcome as per standard definition as Cured, Treatment completed, Failure, Died, lost to follow up, Not evaluated and Regimen change were recorded.

The data obtained were entered into Microsoft Excel. Data were analysed with SPSS. Descriptive statistics was used to calculate the Mean+_ Standard Deviation, frequencies and percentage (%). For testing of the hypothesis, Chi square test was used. p value of 0.05 was considered statistically significant.

Results

During the study period, 77 DR TB patients were registered for standardized treatment. The median age was 42 years (range 9-81).

There were 51 (66.2%) males and 26 (33.8%) females with male: female being 2:1. Table 1 shows sociodemographic profile of these patients.

Table 1

Socio-demographic profile of the patients

Characteristics

Subcategory

Number

Percentage (%)

Age (years)

<20

5

6.5

20-39

30

39

40-59

31

40.2

>=60

11

14.3

Education

Illiterate

1

1.3

Primary school

16

20.8

Middle school

15

19.5

High school

21

27.3

Intermediate/diploma

7

9.1

Graduate

4

5.2

Professional degree

13

16.9

Occupation

Unemployed

21

27.3

Unskilled worker

20

26

Semiskilled worker

7

9.1

Skilled worker

11

14.3

Clerical/shop/farm

6

7.8

Semi professional

0

0

Professional

12

15.6

Socioeconomic status

Lower

33

42.9

Upper lower

15

19.5

Lower middle

20

26

Upper middle

3

3.9

Upper

6

7.8

Other risk factor profile is as shown in Table 2.

Table 2

Risk factor profile of the patients

Characteristics

Number

Percentage (%)

HIV TB

4

5.2

DM

31

40.3

Contact of DR TB

8

10.4

Tobacco user

30

39

Migrant

3

3.9

Healthcare worker

12

15.6

Alcohol use

31

40.3

Out of the 77 patients, 40 (51.9%) patients had a low BMI < 18 kg/m2.

The most common symptom was cough in 70 (90.9%) patients. Figure 1 shows the symptom distribution among the DR TB patients. The mean duration of presenting symptoms was 2 months (range 1-4).

Figure 1

Symptom distribution of the study population

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/670db01a-a1a0-4528-bece-8d81c9330a1fimage1.png

The anatomical site of the disease was pulmonary in 74 (96.1%) and extrapulmonary in 3 (3.9%) patients.

The previous history of ATT and treatment outcome were as shown in Figure 2, Figure 3.

Figure 2

Treatment history among previously treated patients.

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/670db01a-a1a0-4528-bece-8d81c9330a1fimage2.png
Figure 3

Treatment outcome among previously treated patients.

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/670db01a-a1a0-4528-bece-8d81c9330a1fimage3.png

The mean duration of previous ATT was 5 months (range 1-27). Cartridge Based Nucleic Acid Amplification Test (CBNAAT) was done in 18/77 patients; with 9 patients showing MTB detected high; Rif resistance detected.

Figure 4 shows the resistance to individual drugs.

Figure 4

Frequency of resistance to individual drugs

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/670db01a-a1a0-4528-bece-8d81c9330a1fimage4.png

The drug resistance pattern is as shown in Figure 5.

Figure 5

Drug resistance pattern

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/670db01a-a1a0-4528-bece-8d81c9330a1fimage5.png

Table 3 shows the drug resistance pattern among patients with previous history of ATT. 2 patients did not have history of previous ATT.

Table 3

Drug resistance pattern among patients with previous h/o ATT

Previous ATT

Resistance pattern (No., %)

MR

PDR

MDR

RR

XDR

MDR+FQ

MDR+SLI

Total

New case

5

0

25

5

0

2

0

37

Previously treated

6

0

11

3

0

0

0

20

Recurrent TB case

2

1

3

0

1

0

0

7

Treatment after failure

0

0

2

0

2

0

0

4

Treatment after lost to follow up

0

0

0

0

1

0

0

1

MDR

0

0

0

1

0

4

1

6

Total

13

1

41

9

4

6

1

75

While analysing previous ATT status, MDR TB was the most common resistance pattern among previously treated patients. Among the 41 patients diagnosed as MDR TB, the previous ATT received was as new case in 25, previously treated in 11, recurrent TB in 3 and treatment after failure in 2. There were 4 XDR TB cases, with 2 patients having received previous ATT as treatment after failure, 1 as recurrent TB and 1 as treatment after lost to follow up. Previous MDR TB patients developed additional resistance to FQ and SLI.

Figure 6 shows the radiological profile of these patients based on the standard classification.

Figure 6

Radiological profile of the patients

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/670db01a-a1a0-4528-bece-8d81c9330a1fimage6.png

The treatment regimen for these DR TB patients is as shown in Table 4.

Table 4

Treatment regimen given to the patients

Characteristics

Subcategory

Number

Percentage (%)

Treatment regimen

All oral H mono-poly DR TB regimen

14

18.2

Conventional MDR TB regimen

44

57.1

Shorter MDR TB regimen

7

9.1

All oral longer MDR TB regimen

3

3.9

Modified regimen for MDR/RR TB+FQ/SLI resistance

3

3.9

Regimen for XDR TB

5

6.5

Regimen with new drug for MDR TB+FQ/SLI resistance

1

1.3

Conventional MDR TB regimen was the most common treatment regimen used in 44 (57.1%) of patients.

Treatment outcomes were as shown in Figure 7.

Figure 7

Treatment outcome

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/670db01a-a1a0-4528-bece-8d81c9330a1fimage7.png

Majority of the patients had a favourable outcome as cured and treatment completed. Unfavourable outcomes were failure, lost to follow up, regimen changed, died and treatment stopped due to adverse drug reactions.

The treatment regimen had to be changed in 13 (16.9%) of the patients; the most common reason being adverse drug reactions followed by additional resistance. Treatment extension and interruptions were seen in 2 (2.6%) and 8 (10.4%) patients respectively.

Figure 8 shows the treatment outcome at the end of anti-tuberculous therapy based on the drug resistance pattern.

Figure 8

Treatment outcome according to the drug resistance pattern

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/670db01a-a1a0-4528-bece-8d81c9330a1fimage8.png

Cured as the treatment outcome was seen most commonly in 13/15 patients with mono/poly drug resistance pattern (86.7%), followed by 32/51 MDR/RR TB patients (62.7%). Patients with the XDR/pre-XDR resistance pattern had treatment outcome as cured in only 2/11 (18.2%). Unfavourable outcomes such as died were highest in the XDR/pre-XDR TB resistance pattern 4/11 (36.4%). In the mono/poly and MDR/RR TB resistance pattern, 1/15 (6.7%) and 6/51 (11.7%) patients died respectively. Lost to follow up as treatment outcome was seen in 7/51 (13.7%) in MDR/RR TB patients, 1/11 (9.1%) in XDR/pre-XDR TB patients and 1/15 (6.7%) in mono/poly resistance.

The association of the clinical, demographic and bacteriological variables with favourable and unfavourable treatment outcomes were studied.

Table 5

Summary of statistically significant association between patient characteristics and treatment outcome

Variables

Favourable outcome

Unfavourable outcome

P value

Education

Illiterate

0 (0%)

1 (100%)

0.029

Primary school

10 (62.5%)

6 (37.5%)

Middle school

6 (40%)

9 (60%)

High school

16 (76.2%)

5 (23.8%)

Intermediate/diploma

7 (100%)

0 (0%)

Graduate

3 (75%)

1 (25%)

Professional degree

7 (53.8%)

6 (46.2%)

Occupation

Unemployed

14 (66.7%)

7 (33.3%)

0.024

Unskilled worker

10 (50%)

10 (50%)

Semiskilled

3 (42.9%)

4 (57.1%)

Skilled

11 (100%)

0 (0%)

Clerical/shop/farm

4 (66.7%)

2 (33.3%)

Professional

7 (58.3%)

5 (41.7%)

BMI

Low

57.5%

42.5%

0.04

Normal

64.5%

35.5%

High

100%

0%

Previous H/O ATT

New case

75.7%

24.3%

0.004

Previously treated

65%

35%

Recurrent TB

57.1%

42.9%

Tx after failure

50%

50%

Tx after LTFU

0%

100%

MDR TB Tx

0%

100%

Table 6

Summary of statistically significant association between resistance and treatment regime with outcome

Variables

Favourable outcome

Unfavourable outcome

P value

Rif resistance

Rif resistant

58.1%

41.9%

0.028

Rif not resistant

86.7%

13.3%

FQ resistance

FQ resistant

33.3%

66.7%

0.049

FQ not resistant

67.6%

32.4%

Drug resistance pattern

Mono/poly

86.7%

13.3%

0.007

MDR/RR

64.7%

35.3%

XDR/pre-XDR

27.3%

72.7%

Treatment regimen

Change

30.8%

69.2%

0.008

Interruption

25%

75%

0.018

Discussion

This is the first study done in Idukki district to estimate the sociodemographic profile, drug sensitivity pattern and treatment outcome in DR TB patients. Most of the cases of DR TB were in the 20-39 and 40-59 year age group. These are usually the earning members of the family. The reason may be increased exposure at workplaces. Other similar studies reported DR TB cases predominantly in the 21-45 years age group.11

Our study shows more DR TB cases in males than females. The reasons may be increased exposure at workplaces and reduced adherence to treatment among males. This is in contrast to other similar studies where female gender was associated with DR TB; the reasons for which are not yet clear. 12, 13

Low income and poor education are factors associated with the development of DR TB.14 Our study had more DR TB cases among the lower socioeconomic strata. Improved access to health services to the economically backward sections of the society may result in decrease in DR TB cases. Most of the cases were among educated people (high school and intermediate/diploma). This may be attributed to the high literacy rate in Kerala.

In a retrospective study conducted at a PMDT site of a tertiary care hospital in Mumbai, 15 the comorbidities associated with pulmonary DR TB patients were diabetes mellitus (32.8%), GERD (40.2%), anaemia (13.4%) and HIV infection (8.8%). Out of the 77 patients in our study population, 31(40.3%) were diabetic and 4 (5.2%) had HIV infection. DM and HIV seropositivity are immunocompromising conditions leading to increased chances of developing DR TB. 30(39%) and 31(40.3%) patients were addicted to tobacco and alcohol respectively.

A retrospective multi-centre investigation in China was conducted by Tang et al to analyse the risk factors for poor outcomes in MDR and XDR TB.16 Poor outcomes were associated with a BMI<18.5 kg/m2. In our study, 52% of patients were underweight (BMI<18 kg/m2) with worse treatment outcome.

96% of patients had pulmonary TB in our study. In the profile of drug resistant tuberculosis by More et al, 17 all the patients had pulmonary TB. Similarly, 98.8% patients had pulmonary TB in the study by Bhatt et al at Ahmedabad. 18

75/77 of the patients in our study had a previous history of anti-tuberculous therapy. This is almost similar to a study in Bangladesh on sociodemographic profile and drug sensitivity pattern of DR TB, 19 where all the MDR TB patients had previous history of ATT. MDR TB and mono resistant TB were the most common resistance pattern in patients with previous ATT. The previous ATT was as new case more commonly followed by previously treated >= 1 month. This can be either due to inadequate regimen or genetic susceptibility leading to decreased response to ATT. Proper education and counselling to ensure adherence to treatment and/or genetic analysis to understand the molecular abnormalities is of importance.

MDR TB was the most common resistance pattern seen in 41 (53%) of all DR TB patients in our study. More et al 17 on the profile of drug resistant tuberculosis in Western Maharashtra found that 73.95% of cases were MDR TB and 26.05% were Rifampicin resistant. In our study, 14 (18.2%) patients had mono resistance to Isoniazid and 10 (13%) patients were Rifampicin resistant.

Fluoroquinolones (FQ) are the major group of drugs in the management of drug resistant tuberculosis. High degree of fluoroquinolone resistance was found in New Delhi. 20 27.3% among MDR TB isolates had additional fluoroquinolone resistance. Indiscriminate use of fluoroquinolones may lead to the increased emergence of isolates resistant to FQs. In our study, FQ resistance was seen in 11.7% patients, comparatively less than in other similar studies. Baseline second line DST is invaluable in their early detection and appropriate management.

Favourable treatment outcome (cured/treatment completed) was seen in 63.6% patients and unfavourable treatment outcomes (died/lost to follow up/regimen changed/failure/stopped due to ADR) seen in 36.4% patients in our study. A retrospective cohort study described similar treatment outcomes in the MDR TB patients treated. 21 In our study, unfavourable treatment outcomes were associated with low BMI (<18 kg/m2) and previous ATT as treatment after failure, treatment after Lost to follow up and previous MDR TB treatment. Rifampicin and Fluoroquinolone resistance were associated with unfavourable treatment outcomes.

While analysing our data, it was found mortality was highest in the XDR/pre-XDR TB group (36.4 %). Lost to follow up was seen in 17.1 % of MDR TB and 9.1% of XDR/pre-XDR patients. This may be because most of the MDR TB patients in our study group were treated with Conventional MDR TB regimen of 22-27 months duration. Long treatment durations may be responsible for these patients being lost to follow up. Thus, shorter duration of treatment may be more effective and may potentially lead to better outcomes.

Conclusions

In our study, we observed more favourable outcome in patients treated for DR TB. Poor treatment outcomes were seen in patients with low BMI, previous ATT history and fluoroquinolone resistance. Thus, proper nutrition, education and counselling regarding treatment adherence and avoidance of irrational use of fluoroquinolones are vital. Longer duration of treatment and injectables may be obstacles in the management of these patients; that may be overcome by shorter regimes.

Source of Funding

None.

Conflict of Interest

The authors declare that there are no potential conflicts of interest for the authorship and publication of the article.

References

1 

National Anti-TB Drug Resistance Survey2014https://pib.gov.in/newsite/PrintRelease.aspx?relid=112328

2 

R Singla R Sarin UK Khalid K Mathuria N Singla A Jaiswal Seven-year DOTS-plus pilot experience in India: Results, constraints and issuesInt J Tuberc Lung Dis200913897681

3 

P Joseph VB Desai NS Mohan JS Fredrick R Ramachandran B Raman Outcome of standardized treatment for patients with MDR-TB from Tamil NaduIndia. Indian J Med Res2011133552934

4 

SV Patel KB Nimavat PB Alpesh LK Shukla KS Shringarpure KG Mehta Treatment outcome among cases of multidrug-resistant tuberculosis (MDR TB) in Western India: A prospective studyJ Infect Public Health2016944788410.1016/j.jiph.2015.11.011

5 

U Venkatesh DK Srivastava AK Srivastava HC Tiwari Epidemiological profile of multidrug-resistant tuberculosis patients in Gorakhpur DivisionJ Family Med Prim Care2018735899510.4103/jfmpc.jfmpc_99_17

6 

SS Dole VN Waghmare AM Shaikh Clinical Profile and Treatment Outcome of Drug Resistant Tuberculosis Patients of Western Maharashtra, IndiaJ Assoc Physicians India201765121821

7 

VK Kapadia SB Tripathi Analysis of 63 patients of MDR TB on DOTS plus regimen: An LG hospital, TB unit, Ahmedabad experienceGujarat Med J201368527

8 

KS Sachdeva SR Mase The end TB strategy for IndiaIndian J Tuberc2019661165610.1016/j.ijtb.2019.02.005

9 

SM Saleem Modified Kuppuswamy socioeconomic scale updated for the year 2020Indian J Forensic Community Med20207113

10 

A Seaton AG Leitch D Seaton Crofton and Douglas's respiratory diseases National Tuberculosis Association of USA Diagnostic standards and classification of Tuberculosis5185th Edn.Wiley BlackwellOxford518

11 

P Sinha GN Srivastava A Gupta S Anupurba Association of Risk Factors and Drug Resistance Pattern in Tuberculosis Patients in North IndiaJ Glob Infect Dis2017941394510.4103/jgid.jgid_167_16

12 

SS Shivekar V Kaliaperumal U Brammacharry Prevalence and factors associated with multidrug-resistant tuberculosis in South IndiaSci Rep2020101755210.1038/s41598-020-74432-y

13 

Q Liu L Zhu Y Shao H Song G Li Y Zhou Rates and risk factors for drug resistance tuberculosis in Northeastern ChinaBMC Public Health201313117110.1186/1471-2458-13-1171

14 

F Di Gennaro D Pizzol B Cebola B Stubbs L Monno A Saracino Social determinants of therapy failure and multi drug resistance among people with tuberculosis: a reviewTuberculosis (Edinb)2017103445110.1016/j.tube.2017.01.00

15 

MA Waghmare K Utpat JM Joshi Treatment outcomes of drug-resistant pulmonary tuberculosis under programmatic management of multidrug-resistant tuberculosis, at tertiary care center in MumbaiMed J DY Patil Univ201710141510.4103/0975-2870.197892av

16 

S Tang S Tan L Yao F Li L Li X Guo Risk Factors for Poor Treatment Outcomes in Patients with MDR-TB and XDR-TB in China: Retrospective Multi-Center InvestigationPLoS ONE2013812e8294310.1371/journal.pone.0082943

17 

SW More MA Parande SW Kamble MS Kamble Profile of drug-resistant tuberculosis in Western MaharashtraJ Family Med Prim Care201761293310.4103/2249-4863.214954

18 

G Bhatt S Vyas K Trivedil An epidemiological study of multi drug resistant tuberculosis cases registered under Revised National Tuberculosis Control Programme of Ahmedabad CityIndian J Tuberc20125911827

19 

U Khatun R Amin M Islam A Rob A Rahim Socio-demographic Profile and Drug Sensitivity Pattern of Suspected Drug Resistant Tuberculosis among Patients in Regional Tuberculosis Reference Laboratory (R.T.R.L) of a Tertiary HospitalJ Med2017182627

20 

R Sharma SK Sharma BK Singh A Mittal P Kumar High degree of fluoroquinolone resistance among pulmonary tuberculosis patients in New Delhi, IndiaIndian J Med Res2019149162610.4103/ijmr.IJMR_1220_17

21 

D Nair B Velayutham T Kannan JP Tripathy AD Harries M Natrajan Predictors of unfavourable treatment outcome in patients with multidrug-resistant tuberculosis in IndiaPublic Health Action20177132810.5588/pha.16.0055



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