Literature DB >> 25378741

Drug resistance of Mycobacterium tuberculosis in Malawi: a cross-sectional survey.

Michael Abouyannis1, Russell Dacombe1, Isaias Dambe2, James Mpunga2, Brian Faragher1, Francis Gausi2, Henry Ndhlovu3, Chifundo Kachiza4, Pedro Suarez5, Catherine Mundy5, Hastings T Banda3, Ishmael Nyasulu6, S Bertel Squire1.   

Abstract

OBJECTIVE: To document the prevalence of multidrug resistance among people newly diagnosed with - and those retreated for - tuberculosis in Malawi.
METHODS: We conducted a nationally representative survey of people with sputum-smear-positive tuberculosis between 2010 and 2011. For all consenting participants, we collected demographic and clinical data, two sputum samples and tested for human immunodeficiency virus (HIV).The samples underwent resistance testing at the Central Reference Laboratory in Lilongwe, Malawi. All Mycobacterium tuberculosis isolates found to be multidrug-resistant were retested for resistance to first-line drugs - and tested for resistance to second-line drugs - at a Supranational Tuberculosis Reference Laboratory in South Africa.
FINDINGS: Overall, M. tuberculosis was isolated from 1777 (83.8%) of the 2120 smear-positive tuberculosis patients. Multidrug resistance was identified in five (0.4%) of 1196 isolates from new cases and 28 (4.8%) of 581 isolates from people undergoing retreatment. Of the 31 isolates from retreatment cases who had previously failed treatment, nine (29.0%) showed multidrug resistance. Although resistance to second-line drugs was found, no cases of extensive drug-resistant tuberculosis were detected. HIV testing of people from whom M. tuberculosis isolates were obtained showed that 577 (48.2%) of people newly diagnosed and 386 (66.4%) of people undergoing retreatment were positive.
CONCLUSION: The prevalence of multidrug resistance among people with smear-positive tuberculosis was low for sub-Saharan Africa - probably reflecting the strength of Malawi's tuberculosis control programme. The relatively high prevalence of such resistance observed among those with previous treatment failure may highlight a need for a change in the national policy for retreating this subgroup of people with tuberculosis.

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Year:  2014        PMID: 25378741      PMCID: PMC4221759          DOI: 10.2471/BLT.13.126532

Source DB:  PubMed          Journal:  Bull World Health Organ        ISSN: 0042-9686            Impact factor:   9.408


Introduction

Although the World Health Organization (WHO) has monitored the emergence of drug resistance of Mycobacterium tuberculosis since 1994, there have been few national surveys of such resistance in sub-Saharan Africa. In 2012, it was estimated that about 1.9% of people newly diagnosed and 9.4% of those undergoing retreatment in Africa had multidrug-resistant (MDR) tuberculosis. The prevalence of MDR tuberculosis in Africa varies between countries and might be generally increasing., Over several years, attempts have been made – at the Central Reference Laboratory in Lilongwe – to isolate M. tuberculosis from all smear-positive patients undergoing retreatment in Malawi to investigate drug susceptibility. In 2008, about 8% of people investigated in this manner were found to have MDR tuberculosis (James Mpunga, Malawi National Tuberculosis Control Programme, personal communication, 2008) – although most of the samples came from urban centres and the laboratory’s attempts to isolate M. tuberculosisM. tuberculosis often failed. The only published data on MDR tuberculosis in Malawi indicated that just 0.5% of people newly diagnosed with tuberculosis and 0.9% of people being retreated in Karonga district had MDR tuberculosis in 1996–1998. In 2007, the nationally recommended treatment regimen for people newly diagnosed with tuberculosis in Malawi changed. The initial supervised treatment remained the same – i.e. daily isoniazid, rifampicin, pyrazinamide and ethambutol for 2 months – but the unsupervised continuation phase changed from 6 months of isoniazid and ethambutol to 4 months of isoniazid and rifampicin., There are four problems since this change that need monitoring. The first is that poor adherence during this currently-recommended continuation phase could lead to the emergence of MDR tuberculosis. Another problem is that nothing is known about the resistance of Malawian isolates of M. tuberculosis to the second-line drugs that began to be used routinely in Malawi in 2007. A third problem is the high prevalence of human immunodeficiency virus (HIV) infection among people with tuberculosis. In 2010, 63% of Malawian tuberculosis patients tested for HIV were found positive. Finally, the national prevalence of drug-resistant tuberculosis may be affected by migration of people from neighbouring countries, where such outbreaks have occurred. Given these issues, we conducted a national survey of resistance to anti-tuberculosis drugs in Malawi.

Methods

Study setting and design

We engaged all of Malawi’s 48 tuberculosis registration centres to conduct a prospective, cross-sectional survey. The centres were grouped into three zones – northern, central and southern – for phased sample collection.

Data collection and management

Health workers in each registration centre formed a recruitment team and attended a three-day training course about the survey protocol. They subsequently collected data on each consenting smear-positive tuberculosis patient, including the patient’s age, sex, level of education, occupation, marital status and HIV status – if known – and details of any previous tuberculosis treatment. After each patient was asked if they had received tuberculosis treatment, the patient’s medical records at the health facility of recruitment were checked for evidence of such treatment. Following national policy in Malawi, each participant in the survey was offered HIV testing and counselling. At the time of the survey, two rapid blood tests – Uni-Gold Recombigen HIV-1/2 (Trinity Biotech, Bray, Ireland) and Determine HIV-1/2 (Alere, Waltham, United States of America) were used in the registration centres. Any samples giving inconclusive results were sent to the Central Reference Laboratory for retesting. Data were collected on piloted forms and double-entered into an Epi Info (Centers for Disease Control and Prevention, Atlanta, United States of America) spreadsheet.

Participants and case definitions

Using the definitions recommended by WHO, new cases were defined as people who had never been treated for tuberculosis – or had previously received anti-tuberculosis medications for less than one month – and retreatment cases were defined as those who had previously received tuberculosis treatment for at least one month. Retreatment cases were grouped according to the outcome of previous treatment: cured, completed, defaulted or failed. A patient was defined as cured when the person was smear-negative at, or one month before, treatment completion and on at least one previous occasion. A completed treatment was defined as a patient who completed treatment but without smear microscopy proof of cure. Persons who had treatment interruption for two consecutive months or more were grouped as defaulted. Those who remained smear-positive when tested five or six months after initiation of their previous treatment were defined as treatment failures. For our survey, sputum samples were collected from each newly-diagnosed person with sputum-smear-positive tuberculosis seen at a registration centre in the northern, central and southern zones in May–July 2010, August–October 2010 and November 2010–January 2011, respectively. Sputum samples were also collected from each person with smear-positive tuberculosis undergoing retreatment at any registration centre between February 2010 and March 2011.

Drug resistance definition

Isolates of M. tuberculosis were defined as MDR if they were at least resistant to isoniazid and rifampicin, and extremely drug resistant (XDR) if they were also resistant to an injectable drug and a quinolone of the second-line medications.

Sample size projections

Assuming that 1.8% and 20% of the people newly diagnosed would have MDR tuberculosis and be lost to follow-up, respectively, we estimated that we needed to enrol 1260 new cases to estimate the prevalence of MDR tuberculosis among such cases with a precision of ± 1%. Similarly, assuming that 5.0% and 20% of our retreatment sample would have MDR tuberculosis and be lost to follow-up, respectively, we estimated that we would have to enrol 770 people undergoing retreatment to estimate the prevalence of MDR tuberculosis with a precision of ± 2.0%.

Laboratory procedures

Prior to enrolment, each participant had been found positive for tuberculosis by the microscopic examination of three smears of sputum., Each month, a random selection of sputum smears from the registration centres – five from each health centre and 25 from each district hospital – was re-examined by a visiting laboratory supervisor. Concordance between the registration centres’ results and the supervisor’s remained above 96% during our survey. For our survey, two additional sputum samples were collected – under supervision and approximately one hour apart – from each enrolled patient and stored at 2–8 °C in the registration centre. Efforts were made to ensure that these samples were collected before anti-tuberculosis treatment was commenced. The samples were transported to the Central Reference Laboratory, in cooler boxes, by bus or in a district health vehicle or study team vehicle. Once a sample had reached the laboratory, it was decontaminated and further homogenized. Part of the pellet produced by centrifuging the sample was smeared, stained with auramine phenol stain and then checked for acid-fast bacilli. Another part was inoculated into two tubes of Lowenstein–Jensen medium – one containing glycerol and the other containing sodium pyruvate – which were examined for growth weekly for up to 8 weeks. Each contaminated culture was discarded and replaced with a new culture that was set up using another part of the relevant pellet – which had been kept in a refrigerator. The Capilia tuberculosis test was used to identify isolates belonging to the M. tuberculosis complex. Indirect susceptibility testing to isoniazid, rifampicin, ethambutol and streptomycin was performed, on one isolate per participant, using the proportion method on Lowenstein–Jenson medium. All isolates defined as MDR tuberculosis were sent to the South African Medical Research Council’s Supranational Reference Laboratory in Pretoria. There, they were retested for their susceptibility to first-line drugs – using a line probe assay and automated liquid culture, – and tested for their susceptibility to the second-line drugs amikacin, kanamycin, capreomycin, ofloxacin and ethionamide – using automated liquid culture.

Statistical analysis

For our final analysis, we excluded those cases from which M. tuberculosis was not isolated in culture. Categorical and non-parametric continuous variables were compared using χ2 and Wilcoxon rank-sum tests, respectively. Data on new tuberculosis cases were analysed independently from retreatment cases. Associations between MDR tuberculosis and patient age, sex, HIV status, year of previous tuberculosis treatment and outcome of previous tuberculosis treatment were compared using Poisson logistic regression analysis. Unadjusted and adjusted incidence rate ratios (IRRs) were calculated in univariate and multivariate analyses, respectively. Stata 10.0 (StataCorp. LP, College Station, United States of America) was used for the statistical analysis.

Ethical considerations

Ethical approval was granted by the Malawi National Health Sciences Research Committee in April 2009. This study commenced in 2009, before requirements for review of all WHO-supported research by the WHO research ethics review committee were fully implemented. Written informed consent was obtained from adult participants and the caregivers of child participants. As recommended by the relevant national guidelines, all cases of MDR tuberculosis were given six months of capreomycin, levofloxacin, ethionamide, cycloserine and pyrazinamide followed by 18 months of levofloxacin, ethionamide and cycloserine.

Results

During the study period, 2120 smear-positive individuals consented to participate. Five were excluded as their baseline data were missing, another 1347 were classified as newly diagnosed with tuberculosis and the remaining 768 were classified as retreatment cases (Fig. 1). M. tuberculosis was isolated from 1196 (88.8%) of the new cases. There was no difference in the distribution of age, sex, region or HIV status between these and new cases from which M. tuberculosis was not isolated. M. tuberculosis was isolated from 581 (75.7%) of people undergoing retreatment. Those in whom M. tuberculosis was not isolated were older than the other retreatment cases, with mean ages of 40.7 and 36.4 years, respectively.
Fig. 1

Flowchart to determine multidrug resistance in people diagnosed with tuberculosis in Malawi, 2010–2011

Flowchart to determine multidrug resistance in people diagnosed with tuberculosis in Malawi, 2010–2011 Compared with the new cases, people undergoing retreatment were more frequently found to be culture-negative or to be culture-positive for mycobacteria other than M. tuberculosis. Of 86 treatment failures, 31 samples were culture-positive for M. tuberculosis, six were culture-positive for other mycobacteria and 49 were culture-negative. The median transit time of all samples, from collection to arrival at the Central Reference Laboratory was 4 days (interquartile range, IQR: 2–7 days). Transit time had no apparent effect on the probability that a sample would be found culture-positive for M. tuberculosis (P = 0.71).

Culture-positive tuberculosis

Culture-positive individuals in both new and retreatment groups were similar in terms of their sociodemographic characteristics (Table 1).
Table 1

Characteristics of people newly-diagnosed with, and retreated for, tuberculosis, Malawi, 2010–2011

CharacteristicNew cases (n = 1196)
Retreatment cases (n = 581)
No.% (95% CI)No.% (95% CI)
Mean age (years)119635.6 (34.8–36.4)58136.4 (35.5–37.4)
Sex (% male)119653.7 (50.8–56.5)58160.6 (56.6–64.6)
Marital status (%)
Married75063.2 (60.5–66.0)34660.3 (56.3–64.3)
Single23219.6 (17.3–21.8)10618.5 (15.3–21.7)
Divorced1038.7 (7.1–10.3)7012.2 (9.5–14.9)
Widowed1018.5 (6.9–10.1)529.1 (6.7–11.4)
Occupation (%)
Business22619.5 (17.2–21.8)12021.1 (17.8–24.5)
Formal employment19516.8 (14.7–19.0)12622.2 (18.8–25.6)
Subsistence farmer33028.4 (25.8–31.0)14826.1 (22.4–29.7)
Unemployed40935.3 (32.5–38.0)17430.6 (26.8–34.4)
Educational level achieved (%)
Tertiary232.0 (1.2–2.8)132.3 (1.0–3.5)
Secondary26222.5 (20.1–24.9)17129.9 (26.1–33.7)
Primary72962.6 (59.8–65.4)31955.8 (51.7–59.9)
None15113.0 (11.0–14.9)6912.1 (9.4–14.7)
HIV status (%)
Positive57748.2 (45.4–51.1)38666.4 (62.6–70.3)
Negative47439.6 (36.9–42.4)16528.4 (24.7–32.1)
Unknown14512.1 (9.4–14.8)305.2 (2.6–7.7)
Region of residence (%)
Northern1159.6 (7.9–11.3)8514.6 (11.8–17.5)
Central west28323.7 (21.3–26.1)10818.6 (15.4–21.8)
Central east13511.3 (9.5–13.1)467.9 (5.7–10.1)
South-west35930.0 (27.4–32.6)20735.6 (31.7–39.5)
South-east30425.4 (22.9–27.9)13523.2 (19.8–26.7)
Outcome of previous treatment (%)
CuredaNANA38967.0 (63.1–70.8)
CompletedbNANA10417.9 (14.8–21.0)
DefaultedcNANA498.4 (6.2–10.7)
FaileddNANA315.3 (3.5–7.2)
UnknownNANA81.4 (0.4–2.3)
Smear score (%)e
Scanty1018.6 (7.0–10.2)6611.6 (8.9–14.2)
1+13511.5 (9.6–13.3)6611.6 (8.9–14.2)
2+29525.0 (22.6–27.5)11520.1 (16.8–23.4)
3+64754.9 (52.1–57.8)32456.7 (52.7–60.8)

CI: confidence interval; HIV: human immunodeficiency virus; NA: not applicable.

a Cured defined as a smear-positive patient who was smear-negative at, or one month before, treatment completion and on at least one previous occasion.

b Treatment completed defined as a patient who completed treatment but without smear microscopy proof of cure.

c Defaulted defined as treatment interruption for two consecutive months or more.

d Failed defined as remaining smear-positive when tested five or six months after initiation of previous treatment.

e Smear scores indicate the density of acid-fast bacilli seen on a sputum smear.

Note: Data are missing for some characteristics. The sum of the percentages for some characteristics may not equal 100 due to rounding.

CI: confidence interval; HIV: human immunodeficiency virus; NA: not applicable. a Cured defined as a smear-positive patient who was smear-negative at, or one month before, treatment completion and on at least one previous occasion. b Treatment completed defined as a patient who completed treatment but without smear microscopy proof of cure. c Defaulted defined as treatment interruption for two consecutive months or more. d Failed defined as remaining smear-positive when tested five or six months after initiation of previous treatment. e Smear scores indicate the density of acid-fast bacilli seen on a sputum smear. Note: Data are missing for some characteristics. The sum of the percentages for some characteristics may not equal 100 due to rounding. Overall, 66.4% (386) of the retreatment cases and 48.2% (577) of the new cases were known or found to be infected with HIV, demonstrating a significantly higher HIV prevalence among people retreated (P < 0.01). The retreatment cases reported that they had received tuberculosis treatment between 1978 and 2010 with a median of 2.4 years (IQR: 1.1–5.9 years) before their enrolment. Just 31 (5.3%) of the culture-positive retreatment cases had failed their previous treatment (Table 1). Among the 1196 M. tuberculosis isolates from new cases, ethambutol, isoniazid, rifampicin and streptomycin resistance was present in 0.5%, 3.2%, 0.8% and 4.2%, respectively (Table 2). The corresponding values for the 581 isolates from the retreatment cases were all higher (Table 2).
Table 2

Resistance to first-line anti-tuberculosis drugs among Mycobacterium tuberculosis isolates, Malawi, 2010–2011

ResistanceIsolates from new cases (n = 1196)
Isolates from retreatment cases (n = 581)
No.% (95% CI)No.% (95% CI)
Fully sensitive111693.3 (91.7–94.7)47080.9 (77.5–84.0)
Any resistancea
R90.8 (0.4–1.4)386.5 (4.7–8.9)
H383.2 (2.3–4.3)6611.4 (8.9–14.2)
E60.5 (0.2–1.1)183.1 (1.9–4.9)
S504.2 (3.1–5.5)498.4 (6.3–11.0)
Multidrug resistance50.4 (0.1–1.0)284.8 (3.2–6.9)
RH20.2 (0.0–0.6)132.2 (1.2–3.8)
RHE00.0 (0.0–0.3)10.2 (0.0–1.0)
RHS10.1 (0.0–0.5)61.0 (0.4–2.2)
RHES20.2 (0.0–0.6)81.4 (0.6–2.7)
Other forms of resistance756.3 (5.0–7.8)8314.3 (11.5–17.4)
R only30.3 (0.1–0.7)91.5 (0.7–2.9)
H only221.8 (1.2–2.8)325.5 (3.8–7.7)
E only20.2 (0.0–0.6)40.7 (0.2–1.8)
S only352.9 (2.1–4.1)305.2 (3.5–7.3)
RS10.1 (0.0–0.5)00.0 (0.0–0.6)
RE00.0 (0.0–0.3)10.2 (0.0–1.0)
HE10.1 (0.0–0.5)20.3 (0.0–1.2)
HS100.8 (0.4–1.5)30.5 (0.1–1.5)
ES10.1 (0.0–0.5)10.2 (0.0–1.0)
HES00.0 (0.0–0.3)10.2 (0.0–1.0)

CI: confidence interval; E: ethambutol; H: isoniazid; R: rifampicin; S: streptomycin.

a Any resistance indicates resistance to the anti-tuberculosis medication tested, independent of resistance results to the other medications.

CI: confidence interval; E: ethambutol; H: isoniazid; R: rifampicin; S: streptomycin. a Any resistance indicates resistance to the anti-tuberculosis medication tested, independent of resistance results to the other medications. Five (0.4%) of the 1196 new cases had MDR tuberculosis (Table 2 and Fig. 2). Other types of resistance (mono-resistance or any combination of drug resistance excluding MDR tuberculosis) were identified in 75 (6.3%) of the new cases but the remaining 1116 (93.3%) M. tuberculosis isolates from new cases were found to be sensitive to all four first-line drugs.
Fig. 2

Resistance patterns of Mycobacterium tuberculosis to anti-tuberculosis drugs, Malawi, 2010–2011

Resistance patterns of Mycobacterium tuberculosis to anti-tuberculosis drugs, Malawi, 2010–2011 Twenty-eight (4.8%) of the 581 M. tuberculosis isolates from retreatment cases showed multidrug resistance (Table 2). Other types of resistance were identified in 83 (14.3%) of the retreatment cases but the remaining 470 (80.9%) M. tuberculosis isolates from retreatment cases were found to be sensitive to all four first-line drugs (Table 2 and Fig. 2). In the multivariate analysis, sex, age and HIV status were not found to be significantly associated with MDR tuberculosis among new or retreatment cases. There was also no evidence of a significant association between region of residence and MDR tuberculosis. All of the 28 retreatment cases with MDR tuberculosis had received treatment in the previous five years – 23 (82%) within the previous two years. MDR tuberculosis in people undergoing retreatment was found to be significantly and inversely associated with time since previous treatment (adjusted IRR: 0.7, 95% confidence interval, CI: 0.5–0.9). Previous treatment failure – but no other previous treatment outcome – was strongly associated with MDR tuberculosis (adjusted IRR: 3.7, 95% CI: 1.6–8.4). Of the 31 treatment failures, nine (29.0%) cultured multi-drug resistant M. tuberculosis. Of the 33 isolates of M. tuberculosis found to be multidrug-resistant in Malawi, 30 successfully underwent retesting in South Africa, and 11 of these were sensitive to either isoniazid or rifampicin or both of these drugs. If the results from South Africa are used as the gold standard, this indicates a 36.7% false-positive rate (11/30 in Table 3). When a random sample of 106 isolates of M. tuberculosis found not to be multidrug-resistant in Malawi were retested in South Africa, one was identified as MDR tuberculosis – giving a 0.9% false-negative rate (1/106 in Table 3).
Table 3

Comparison of anti-tuberculosis drug susceptibility testing of Malawian Mycobacterium tuberculosis isolates, 2010–2011

Malawian resultSouth African resulta
Sensitive to all drugsResistant to rifampicin onlyResistant to isoniazid onlyMDR
Sensitive to all drugs87120
Resistant to rifampicin only2000
Resistant to isoniazid only6071
MDR42519

MDR: multidrug-resistant.

a The table shows the numbers of M. tuberculosis isolates, from Malawian cases of smear-positive pulmonary tuberculosis, that were tested for resistance to isoniazid, rifampicin, ethambutol and streptomycin in both the Central Reference Laboratory (Lilongwe, Malawi) and the South African Medical Research Council’s Supranational Reference Laboratory (Pretoria, South Africa).

MDR: multidrug-resistant. a The table shows the numbers of M. tuberculosis isolates, from Malawian cases of smear-positive pulmonary tuberculosis, that were tested for resistance to isoniazid, rifampicin, ethambutol and streptomycin in both the Central Reference Laboratory (Lilongwe, Malawi) and the South African Medical Research Council’s Supranational Reference Laboratory (Pretoria, South Africa). The 20 isolates found to show multidrug resistance in South Africa were re-cultured in South Africa and tested for resistance to several second-line drugs. Although 18 of these isolates were successfully re-cultured and tested, none showed extensive drug resistance (Table 4).
Table 4

Resistance to second-line anti-tuberculosis drugs among 18 multidrug-resistant Mycobacterium tuberculosis isolates, Malawi, 2010–2011

IsolateResistancea
AmikacinKanamycinCapreomycinOfloxacinEthionamide
1–14susceptiblesusceptiblesusceptiblesusceptibleresistant
15susceptibleresistantsusceptiblesusceptibleresistant
16susceptiblesusceptibleresistantsusceptibleresistant
17resistantresistantresistantsusceptibleresistant
18resistantsusceptibleresistantsusceptibleresistant

a Amikacin, kanamycin, capreomycin, ofloxacin and ethionamide were tested at concentrations up to 1.0, 5.0, 2.5, 2.0 and 5.0 µg/mL, respectively.

a Amikacin, kanamycin, capreomycin, ofloxacin and ethionamide were tested at concentrations up to 1.0, 5.0, 2.5, 2.0 and 5.0 µg/mL, respectively.

Discussion

This is the first national survey of anti-tuberculosis drug resistance done in Malawi. We found the prevalence of MDR tuberculosis among people newly diagnosed to be low, at 0.4%. As about 7200 new cases of smear-positive tuberculosis have occurred annually in Malawi over recent years, we can expect there to be 29 cases of primary MDR tuberculosis in Malawi annually. Although we found the prevalence of MDR tuberculosis among retreatment cases to be significantly higher, as generally observed, this could be expected to produce only 27 secondary cases of MDR tuberculosis annually. The rates described here represent the lowest values reported in sub-Saharan Africa up to 2011. Neighbouring Mozambique identified multidrug resistance in 3.5% of new tuberculosis cases and 11.2% of retreatment cases in 2007. In 2009, Swaziland reported corresponding values of 7.7% and 33.9%, respectively. During our survey, the Central Reference Laboratory successfully isolated M. tuberculosis from the sputum samples from 88.8% of new cases and 75.7% of retreatment cases. Although the sample transit times recorded during our survey were disappointing, long transit times were not associated with isolation failures. Mycobacteria could not be grown from 49 of 86 samples from treatment failures, probably because the bacilli in the 49 samples were dead. Mycobacteria other than M. tuberculosis were cultured from six treatment failures. The proportion of sputum samples from retreatment cases that were found culture-positive for M. tuberculosis was significantly lower than the corresponding value for the new cases. This difference is partly explained by (i) the low isolation rate from treatment failures; (ii) the fact that samples from retreatment cases were relatively more likely to grow mycobacteria other than M. tuberculosis; and (iii) the fact that sputum samples from retreatment cases are relatively more likely to be collected from patients who have already begun treatment for their current episode of tuberculosis. Since the results recorded by Malawi’s Central Reference Laboratory were associated with a 36.7% false-positivity rate and a 0.9% false-negativity rate, the prevalences of MDR tuberculosis that we recorded in Malawi – although low – could overestimate the true values. Given the laboratory’s limited capacity and the observation that resistance patterns probably do not vary between smear-positive and smear-negative cases of tuberculosis, we did not investigate the drug resistance of any M. tuberculosis isolates from smear-negative tuberculosis patients. We found HIV prevalence among new smear-positive cases of pulmonary tuberculosis to be 48.2%. The HIV prevalences reported among all tuberculosis cases by Malawi’s National Tuberculosis Programme in 2010 and 2011 were higher, at 63% and 60%, respectively. The programme’s observations indicate that HIV prevalence among smear-negative cases of pulmonary tuberculosis exceeded 65% in 2010–2011. By focusing on smear-positive cases, we probably limited the extent to which we could explore associations between HIV and MDR tuberculosis. Although we found no association between HIV and MDR tuberculosis, it is possible that such an association exists in the overall population of people with tuberculosis. The existence of such a link remains a matter of controversy,,, but concomitant HIV infection certainly poses some unique challenges in the management of tuberculosis. Although we collected samples from different areas of Malawi at different times of the year, a retrospective analysis of new tuberculosis case notifications between 1999 and 2007 suggested that there was little variation in the number of new cases occurring in each quarter of the year (James Mpunga, Malawi National Tuberculosis Control Programme, personal communication, 2010). The low prevalence of MDR tuberculosis that we recorded may be attributable to the success of Malawi’s tuberculosis control programme. The frequencies of success in the treatment of tuberculosis in Malawi – 88% for new cases and 85% for retreatment cases – are among the highest recorded in sub-Saharan Africa. We recorded higher prevalences of streptomycin resistance than of rifampicin or isoniazid resistance, perhaps because streptomycin was included in the recommended first-line treatment for tuberculosis in Malawi until 1992. We detected no XDR tuberculosis but did observe some resistance to second-line drugs. Since all of our isolates tested for resistance to ethionamide were found positive, the currently recommended 24-month regimen for the treatment of MDR tuberculosis in Malawi needs to be revised. Resistance to the second-line injectables was detected but not resistance to ofloxacin. At the time of the survey, Malawi’s Central Reference Laboratory relied entirely upon the South African Supranational Reference Laboratory for the identification of Malawian cases of XDR tuberculosis. Treatment failure – frequently a forewarning for the development of drug-resistant tuberculosis – was associated with a 29.0% risk of MDR tuberculosis in our survey. The initiation of a standard retreatment regimen while awaiting the results of drug susceptibility testing may amplify resistance in cases with pre-existing MDR tuberculosis., Although use of an empirical MDR treatment regimen has been suggested as a replacement for the standard retreatment regimen for all treatment failures,,, such a change in Malawi would expose most treatment failures – i.e. those who do not have MDR tuberculosis – to a more toxic and less effective therapy. During our survey, all patients with MDR tuberculosis who were diagnosed by phenotypic testing at the Central Reference Laboratory – including the 11 cases classified as drug sensitive when their sputum samples were investigated in South Africa – were managed with the nationally recommended second-line regimen. This was because (i) the phenotypic results were seen as more predictive of clinical response; (ii) the South African results became available several months after the patients had started second-line therapy; and (iii) it was felt that any changes to treatment made after the South African results became available would be confusing to patients.

Conclusion

The prevalence of MDR tuberculosis is currently low in Malawi – probably as the result of a strong tuberculosis control programme – whereas HIV-coinfection, which has been associated with high mortality in the presence of drug-resistant tuberculosis, is common. Almost a third of the treatment failures we investigated had MDR tuberculosis. Given the discovery of ethionamide resistance in all 18 of the MDR tuberculosis isolates investigated for such resistance, ethionamide should be replaced with an alternative drug in Malawi’s current MDR tuberculosis treatment regimen. Given an increasing prevalence of drug resistance in some neighbouring countries and the recent introduction of unsupervised rifampicin into tuberculosis treatment regimens in Malawi, we recommend repeating this survey within three years.
  18 in total

1.  Revised Category II regimen as an alternative strategy for retreatment of Category I regimen failure and irregular treatment cases.

Authors:  Payam Tabarsi; Ehsan Chitsaz; Vahid Tabatabaei; Parvaneh Baghaei; Masoud Shamaei; Parisa Farnia; Majid Marjani; Mehdi Kazempour; Davood Mansouri; Mohammad R Masjedi; Ali A Velayati
Journal:  Am J Ther       Date:  2011-09       Impact factor: 2.688

2.  Surveillance of anti-tuberculosis drug resistance in the world: an updated analysis, 2007-2010.

Authors:  Matteo Zignol; Wayne van Gemert; Dennis Falzon; Charalambos Sismanidis; Philippe Glaziou; Katherine Floyd; Mario Raviglione
Journal:  Bull World Health Organ       Date:  2011-11-07       Impact factor: 9.408

3.  Determinants of drug-resistant tuberculosis: analysis of 11 countries.

Authors:  M A Espinal; K Laserson; M Camacho; Z Fusheng; S J Kim; R E Tlali; I Smith; P Suarez; M L Antunes; A G George; N Martin-Casabona; P Simelane; K Weyer; N Binkin; M C Raviglione
Journal:  Int J Tuberc Lung Dis       Date:  2001-10       Impact factor: 2.373

4.  Risk of acquired drug resistance during short-course directly observed treatment of tuberculosis in an area with high levels of drug resistance.

Authors:  Helen S Cox; Stefan Niemann; Gabit Ismailov; Daribay Doshetov; Juan Daniel Orozco; Lucie Blok; Sabine Rüsch-Gerdes; Yared Kebede
Journal:  Clin Infect Dis       Date:  2007-04-24       Impact factor: 9.079

Review 5.  HIV infection and multidrug-resistant tuberculosis: the perfect storm.

Authors:  Charles D Wells; J Peter Cegielski; Lisa J Nelson; Kayla F Laserson; Timothy H Holtz; Alyssa Finlay; Kenneth G Castro; Karin Weyer
Journal:  J Infect Dis       Date:  2007-08-15       Impact factor: 5.226

6.  HIV and multidrug-resistant tuberculosis: overlapping epidemics.

Authors:  Anna S Dean; Matteo Zignol; Dennis Falzon; Haileyesus Getahun; Katherine Floyd
Journal:  Eur Respir J       Date:  2014-02-13       Impact factor: 16.671

7.  Predictors of multidrug- and extensively drug-resistant tuberculosis in a high HIV prevalence community.

Authors:  Jason R Andrews; N Sarita Shah; Darren Weissman; Anthony P Moll; Gerald Friedland; Neel R Gandhi
Journal:  PLoS One       Date:  2010-12-29       Impact factor: 3.240

8.  High prevalence of multidrug-resistant tuberculosis, Swaziland, 2009-2010.

Authors:  Elisabeth Sanchez-Padilla; Themba Dlamini; Alexandra Ascorra; Sabine Rüsch-Gerdes; Zerihun Demissie Tefera; Philippe Calain; Roberto de la Tour; Frauke Jochims; Elvira Richter; Maryline Bonnet
Journal:  Emerg Infect Dis       Date:  2012-01       Impact factor: 6.883

9.  Outcomes after chemotherapy with WHO category II regimen in a population with high prevalence of drug resistant tuberculosis.

Authors:  Francine Matthys; Leen Rigouts; Vinciane Sizaire; Natalia Vezhnina; Maryvonne Lecoq; Vera Golubeva; Françoise Portaels; Patrick Van der Stuyft; Michael Kimerling
Journal:  PLoS One       Date:  2009-11-23       Impact factor: 3.240

Review 10.  Is HIV infection a risk factor for multi-drug resistant tuberculosis? A systematic review.

Authors:  Sujit Suchindran; Emily S Brouwer; Annelies Van Rie
Journal:  PLoS One       Date:  2009-05-15       Impact factor: 3.240

View more
  8 in total

1.  Prevalence of drug resistant TB among outpatients at an HIV/TB clinic in Lilongwe, Malawi.

Authors:  Brian Barnett; Runa H Gokhale; Robert Krysiak; Creto Kanyemba; Tarsizio Chikaonda; Mphatso Bokosi; Cornelius Mukuzunga; Friday Saidi; Sam Phiri; Irving F Hoffman; Mina C Hosseinipour
Journal:  Trans R Soc Trop Med Hyg       Date:  2015-12       Impact factor: 2.184

Review 2.  Trends in prevalence of multi drug resistant tuberculosis in sub-Saharan Africa: A systematic review and meta-analysis.

Authors:  Baba Maiyaki Musa; Aishatu L Adamu; Najibah A Galadanci; Bashir Zubayr; Chisom N Odoh; Muktar H Aliyu
Journal:  PLoS One       Date:  2017-09-25       Impact factor: 3.240

3.  Differential yield of universal versus selective drug susceptibility testing of patients with tuberculosis in high-burden countries: a systematic review and meta-analysis.

Authors:  Anita Svadzian; Giorgia Sulis; Genevieve Gore; Madhukar Pai; Claudia M Denkinger
Journal:  BMJ Glob Health       Date:  2020-10

4.  Second nationwide anti-tuberculosis drug resistance survey in Namibia.

Authors:  N Ruswa; F Mavhunga; J C Roscoe; A Beukes; E Shipiki; J van Gorkom; S Sawadogo; S Agolory; H Menzies; D Tiruneh; B Makumbi; B Bayer; A Zezai; P Campbell; H Alexander; N Kalisvaart; N Forster
Journal:  Int J Tuberc Lung Dis       Date:  2019-07-01       Impact factor: 2.373

5.  Outcomes and Diagnostic Processes in Outpatients with Presumptive Tuberculosis in Zomba District, Malawi.

Authors:  Monique van Lettow; Richard Bedell; Sonia Maosa; Kenneth Phiri; Adrienne K Chan; Edson Mwinjiwa; Aunex Kwekwesa; Harry Kawonga; Martias Joshua; Anthony D Harries; Joep J van Oosterhout
Journal:  PLoS One       Date:  2015-11-10       Impact factor: 3.240

6.  Poor outcomes in recurrent tuberculosis: More than just drug resistance?

Authors:  Danielle B Cohen; Geriant Davies; Wakisa Malwafu; Helen Mangochi; Elizabeth Joekes; Simon Greenwood; Liz Corbett; S Bertel Squire
Journal:  PLoS One       Date:  2019-05-06       Impact factor: 3.240

7.  Tuberculosis treatment outcomes among prisoners and general population in Zomba, Malawi.

Authors:  Victor Singano; Esther Kip; Wilson Ching'ani; Lawrence Chiwaula
Journal:  BMC Public Health       Date:  2020-05-15       Impact factor: 3.295

8.  Cost-effectiveness of a Novel Lipoarabinomannan Test for Tuberculosis in Patients With Human Immunodeficiency Virus.

Authors:  Krishna P Reddy; Claudia M Denkinger; Tobias Broger; Nicole C McCann; Ankur Gupta-Wright; Andrew D Kerkhoff; Pamela P Pei; Fatma M Shebl; Katherine L Fielding; Mark P Nicol; C Robert Horsburgh; Graeme Meintjes; Kenneth A Freedberg; Robin Wood; Rochelle P Walensky
Journal:  Clin Infect Dis       Date:  2021-10-05       Impact factor: 9.079

  8 in total

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