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[Preprint]. 2024 Jul 14:2024.07.12.24310348. [Version 1] doi: 10.1101/2024.07.12.24310348

Metformin reduces the risk of poor treatment outcomes among individuals with rifampicin-resistant tuberculosis and type-2 diabetes mellitus

Argita D Salindri 1,2, Mariam Gujabidze 3, Maia Kipiani 3,4,5, Nino Lomtadze 3,4, Nestani Tukvadze 3,6, Zaza Avaliani 3,7, Henry M Blumberg 8,9,10, Hardy Kornfeld 11, Russell R Kempker 10, Matthew J Magee 8,9
PMCID: PMC11261920  PMID: 39040177

Abstract

We conducted a retrospective cohort study among individuals with rifampicin-resistant tuberculosis and diabetes to determine the association between metformin use and tuberculosis treatment outcomes. We found that individuals with metformin use had a significantly lower risk of poor tuberculosis treatment outcomes (adjusted RR=0.25, 95%CI 0.06 – 0.95) compared to those without.

Keywords: metformin, diabetes, rifampicin-resistant TB, sputum culture conversion, TB treatment outcomes, post-TB mortality

INTRODUCTION

It is well established that type-2 diabetes mellitus (diabetes) negatively impacts tuberculosis (TB); for instance, diabetes increases the risk of poor TB treatment outcomes including mortality during treatment. [1] The use of blood glucose lowering agents, such as metformin, may revert this adverse impact. [2] Metformin has been proposed as a potential candidate of adjunctive host-directed therapy for TB disease. [3, 4] However, there is a lack of clinical and epidemiological evidence to suggest whether metformin could improve TB treatment outcomes among individuals with drug-resistant TB (DRTB).

Limited evidence suggests that metformin may perform better in improving TB treatment outcomes compared to other diabetes medications. For example, a retrospective cohort study conducted using Taiwan’s health insurance database reported that individuals with TB and diabetes who were on metformin had lower risk of TB infection and disease progression compared those receiving sulfonylurea agents. [5] However, whether metformin is associated with improved TB clinical outcomes including sputum culture conversion remains poorly described. Furthermore, whether metformin is also associated with lower risk of post-TB mortality is also unknown. Thus, our study aimed to estimate the association between metformin use and different metrics of TB outcomes among individuals with DRTB and diabetes.

METHODS

We conducted a retrospective cohort study among adult individuals (≥16 years) who were newly diagnosed with bacteriologically-confirmed pulmonary TB and had a record of pre-diabetes/diabetes indications (i.e., prior diabetes diagnosis or fasting blood glucose [FBG] levels of ≥100 mg/dL at TB treatment initiation). Individuals with bacterial strains resistant to rifampicin (i.e., rifampicin-resistant [RR]-TB) who started their treatment with second-line TB drugs at the National Center for Tuberculosis and Lung Diseases or two TB outpatient clinics located in Tbilisi, Georgia were eligible. Potentially eligible participants were pooled from Georgia’s TB surveillance system during the 2009 – 2017 period. In our analyses, diabetes status was determined by FBG ≥126.0 mg/dL at TB treatment initiation or a previous indication of diabetes diagnosis/treatment in medical charts. Pediatric cases, individuals with normoglycemic or pre-diabetes (i.e., FBG <126.0 mg/dL and no other diabetes indications), type-1 diabetes, clinical TB, or those treated outside of Tbilisi were excluded.

Our primary exposure was metformin use during TB treatment. Individuals with a record of metformin were assumed to take the medication as prescribed. Other study exposures included the use of other diabetes medications, diabetes history, years of living with diabetes, and diabetes complications. Our study outcomes included: a) time to sputum culture conversion, b) final TB treatment outcomes defined as “favorable” vs. “poor” according to the World Health Organizations’s guideline, [6] and c) all-cause mortality post-TB treatment. All-cause post-TB mortality was determined by cross-referencing individuals’ information (first and last name, date of birth, and unique national identifiers) with the death registry managed by the National Statistics Office of Georgia obtained on November 13th, 2019.

We used Cox proportional hazard models to estimate the association between metformin use and time to sputum culture conversion, as well as hazards of all-cause post-TB mortality. We used log-binomial logistic regression models to estimate the association between metformin use and poor TB treatment outcomes. Covariates included in the multivariable models were purposively selected due to the small sample size. All statistical analyses were performed using SAS version 9.4 (Cary, NC) with a p-value <0.05 considered statistically significant.

RESULTS

During our study period, there were 1,416 adults with newly diagnosed RR-TB, 995 (70.3%) of which had available blood glucose information and 234 (16.5%) had either elevated blood glucose level at time of TB treatment initiation (i.e., FBG ≥100mg/dL) or a history of diabetes diagnosis/treatment. Of these, half (55.6%, 130/234) initiated treatment in Tbilisi; two (0.8%) of which had type-1 diabetes and 60 (25.6%) had FBG levels of 100–125mg/dL with no prior history of diabetes diagnosis/treatment (i.e., pre-diabetes), leaving 68 individuals with diabetes for analyses (Figure S1). The large majority of individuals with diabetes (60/68, 88.2%) had indications that they were on diabetes medications during TB treatment, but only 58 individuals had information on which diabetes medications were used; 31.0% (18/58) of which had a record of metformin use during TB treatment.

The median time to sputum culture conversion among 17 individuals who used metformin was 91 days (interquartile range [IQR] 61 – 122) vs. 121 days (IQR 91 – 187) among 33 who did not use metformin (p-value=0.89) (Table 1). After adjusting for age, gender and diabetes history, the hazard rate of sputum culture conversion among individuals who used metformin was 1.23 times (95% confidence interval [CI] 0.65 – 2.32) the hazard rate among those who did not use metformin (Table 2). The unadjusted risk of poor TB treatment outcomes was 11.8% among those who used metformin vs. 42.1% among those who did not use metformin (p-value=0.03). After adjusting for age, gender, and diabetes history, the risk of poor TB treatment outcomes remained significantly lower among individuals who used metformin compared to those who did not use metformin (adjusted risk ratio=0.25, 95%CI 0.06 – 0.95). Two individuals who used metformin died with the median time death of 31 months (IQR 2 – 60) post-TB treatment vs. 10 months (IQR 4 – 27) among five who did not use metformin and died post-TB (p-value=0.85). After adjusting for age, gender and diabetes history, the hazard rate of all-cause post-TB mortality among individuals who used metformin was 0.67 times (95%CI 0.10 – 4.49) the hazard rate among those who did not use metformin. The effect of other diabetes medications (i.e., sulfonylureas and insulin) on our study outcomes were provided in Table 2. We also provided the estimated effects of pre-diabetes on the three study outcomes in Table S1.

Table 1.

Sputum culture conversion rate, risk of poor tuberculosis treatment outcomes, and all-cause post-tuberculosis mortality rate according to diabetes characteristics among individuals with rifampicin-resistant tuberculosis and diabetes, Georgia, 2009 – 2017 (N=68)

Diabetes Characteristics Total TB Outcome Metrics

Sputum culture conversion Final TB treatment outcomes All cause post-TB mortality

Converted/N (%) Time to sputum culture conversion Median (IQR)* Poor/N (%) Death/N (%) Time to death Median (IQR)

Among those with known diabetes drugs prescription (N=58) 50/56 (89.3) 91 (61 – 121) 18/55 (32.7) 7/48 (14.6) 10 (2 – 53)

Metformin use
 No 40 (69.0) 33/38 (86.8) 121 (91 – 187) 16/38 (42.1) 5/32 (15.6) 10 (4 – 27)
 Yes 18 (31.0) 17/18 (94.4) 91 (61 – 122) 2/17 (11.8) 2/16 (12.5) 31(2 – 60)

Sulfonylureas use
 No 31 (53.5) 27/30 (90.0) 91 (61 – 122) 10/30 (33.3) 2/25 (8.0) 19 (10 – 27)
 Yes 27 (46.5) 23/26 (88.5) 91 (61 – 97) 8/25 (32.0) 5/23 (21.7) 4 (2 – 53)

Insulin use
 No 17 (29.3) 16/17 (94.1) 94 (81 – 115) 3/17 (17.7) 2/15 (13.3) 29 (4 – 53)
 Yes 41 (70.7) 34/39 (87.2) 76 (61 – 121) 15/38 (39.5) 5/33 (15.2) 10 (2 – 27)

Number of anti-diabetes medications
 1 35 (60.3) 30/34 (88.2) 91 (61 – 122) 12/34 (35.3) 4/29 (13.8) 19 (7 – 40)
 2 or 3 23 (39.7) 20/22 (90.9) 93 (60 – 120) 6/21 (28.6) 3/19 (15.8) 2 (1 – 60)

Among all cohort (N=68) 58/66 (85.2) 91 (61 – 121) 23/65 (35.8) 8/56 (14.3) 19 (3 – 46)

Diabetes history
 Newly diagnosed diabetes 20 (29.4) 18/20 (90.0) 91 (62 – 122) 6/20 (30.0) 4/16 (25.0) 7 (3 – 25)
 Known diabetes 48 (70.6) 40/46 (87.0) 91 (61 – 120) 17/45 (37.8) 4/40 (10.0) 40 (15 – 57)

Years living with diabetes
 0 – 5 years 31 (45.6) 27/29 (93.1) 94 (62 – 121) 9/29 (31.0) 3/24 (12.5) 10 (1 – 53)
 6 – 10 years 14 (20.6) 11/14 (78.6) 62 (59 – 91) 5/13 (38.5) 2/14 (14.3) 31(2 – 60)
 ≥11 years 9 (13.2) 7/9 (77.8) 98 (33 – 153) 4/9 (44.4) 1/7 (14.3) 27 (27 – 27)
Unknown 14 (20.6) 13/14 (92.9) 89 (62 – 119) 5/14 (35.7) 2/11 (18.2) 22 (4 – 39)

Diabetes complications
 None 34 (50.0) 30/34 (88.2) 63 (61 – 119) 14/33 (42.4) 5/33 (15.2) 39 (10 – 53)
 Any§ 23 (33.8) 17/21 (81.0) 95 (89 – 122) 7/21 (33.3) 3/16 (18.8) 4 (1 – 27)
Missing 11 (16.2) 11/11 (100.0) 94 (61 – 121) 2/11 (18.2) 0/3 (0.0) NA

Footnotes:

*

Time to sputum culture conversion was defined as the time (measured in days) from TB treatment initiation to the first of two consecutive negative cultures that were at least 30 days apart

Including 4 who failed the treatment, 18 who stopped the treatment (i.e., defaulted), and 1 who died during TB treatment (n=23)

Post-TB survival time (measured in months) was calculated from the end of TB treatment to the date of post-TB death or November 13th, 2019 for those who survived the follow-up period. One individual who died during TB treatment was excluded from the post-TB mortality analyses.

§

Included a combinations of individuals with multiple diabetes complications. In our cohort, there were 6 individuals with neuropathy, 4 with nephropathy, 7 with retinopathy or other eye complications, 8 with heart disease, 1 with ascites, 2 with diabetic angiopathy, 1 with diabetic gangrene, and 1 with diabetic hepatosis

Abbreviations:

IQR – interquartile range; TB – tuberculosis

Bold indicates that the finding is statistically significant at α=0.05

Table 2.

Crude and adjusted effects of metformin and other diabetes characteristics on a) sputum culture conversion, b) poor tuberculosis treatment outcomes, and c) all-cause post-tuberculosis mortality among individuals with rifampicin-resistant tuberculosis and diabetes, Georgia, 2009 – 2017 (N=68)

Characteristics Sputum Culture Conversion Poor Treatment Outcomes All Cause Post-TB Mortality

Hazard Rate Ratios Risk Ratios Hazard Rate Ratios

cHR (95%CI) aHR* (95%CI) cRR (95%CI) aRR* (95%CI) cHR (95%CI) aHR* (95%CI)

Metformin use
 No Reference Reference Reference Reference Reference Reference
 Yes 1.16 (0.64 – 2.09) 1.23 (0.65 – 2.32) 0.28 (0.07 – 1.08) 0.25 (0.06 – 0.95) 0.83 (0.16 – 4.28) 0.67 (0.10 – 4.49)

Sulfonylureas use
 No Reference Reference Reference Reference Reference Reference
 Yes 0.97 (0.56 – 1.70) 1.13 (0.59 – 2.14) 0.96 (0.45 – 2.06) 1.17 (0.47 – 2.89) 2.96 (0.57 – 15.33) 16.11 (0.78 – 331.59)

Insulin use
 No Reference Reference Reference Reference Reference Reference
 Yes 4.63 (0.93 – 23.01) 4.07 (0.79 – 21.01) 2.23 (0.74 – 6.72) 2.22 (0.70 – 6.94) 1.15 (0.22 – 5.93) 0.82 (0.11 – 5.94)

Number of anti-diabetes medications
 1 Reference Reference Reference Reference Reference Reference
 2 or 3 1.02 (0.57 – 1.80) 1.14 (0.62 – 2.08) 0.81 (0.36 – 1.83) 0.78 (0.34 – 1.77) 1.29 (0.29 – 5.75) 1.05 (0.22 – 4.94)

Diabetes history
 Newly diagnosed diabetes Reference Reference Reference Reference Reference Reference
 Known diabetes 1.22 (0.48 – 3.07) 1.31 (0.51 – 3.33) 1.26 (0.58 – 2.71) 1.21 (0.57 – 2.56) 0.34 (0.08 – 1.35) 0.14 (0.02 – 0.93)

Years with diabetes
 0 – 5 years Reference Reference Reference Reference Reference Reference
 6 – 10 years 0.71 (0.34 – 1.49) 0.73 (0.34 – 1.57) 1.24 (0.52 – 2.98) 1.04 (0.42 – 2.56) 1.10 (0.18 – 6.63) 0.16 (0.01 – 4.06)
 ≥11 years 0.89 (0.38 – 2.08) 0.81 (0.33 – 1.96) 1.43 (0.58 – 3.56) 1.07 (0.40 – 2.88) 1.14 (0.12 – 11.06) 0.16 (0.00 – 6.06)
Unknown 1.11 (0.39 – 3.19) 1.13 (0.39 – 3.25) 1.15 (0.47 – 2.80) 1.07 (0.44 – 2.64) 1.82 (0.30 – 11.03) 2.11 (0.32 – 14.07)

Diabetes complications
 None Reference Reference Reference Reference Reference Reference
 Any§ 0.77 (0.42 – 1.39) 0.75 (0.41 – 1.36) 0.79 (0.38 – 1.62) 0.80 (0.38 – 1.67) 1.81 (0.42 – 7.76) 2.07 (0.43 – 9.89)
Missing 1.32 (0.65 – 2.68) 1.16 (0.54 – 2.49) 0.43 (0.12 – 1.60) 0.39 (0.11 – 1.45) NA NA

Footnotes:

*

Model was adjusted for age and gender, unless indicated otherwise

Model was adjusted for age, gender, and diabetes history (newly diagnosed vs. known diabetes)

Results from time-dependent Cox model to account for non-proportional hazards between groups compared

§

Included combinations of individuals with multiple diabetes complications. In our cohort, there were 6 individuals with neuropathy, 4 with nephropathy, 7 with retinopathy or other eye complications, 8 with heart disease, 1 with ascites, 2 with diabetic angiopathy, 1 with diabetic gangrene, and 1 with diabetic hepatosis

Abbreviations:

aHR – adjusted hazard rate ratio; aRR – adjusted risk ratio; cHR – crude hazard rate ratio; CI – confidence interval; cRR – crude risk ratio

Bold indicates that the finding is statistically significant at α=0.05

DISCUSSION

We found that individuals with RR-TB and diabetes who used metformin had 75% lower relative risk of poor TB outcomes compared to individuals with RR-TB and diabetes who did not use metformin. Although non-sifinicant, individuals with a record of metformin use had higher rates of sputum culture conversion and lower rates of post-TB mortality compared to those without. Our finding on sputum culture conversion is consistent with a cross sectional study from South Korea which reported a modest difference in 2-month culture conversion among drug susceptible participants (61% metformin vs. 56% other diabetes medications, p=0.06). [7] Randomized studies assessing metformin’s mechanisms of action (including impact on blood glucose controls and reduction of inflammation) and comparing to other diabetes medications are needed.

Our cohort was limited by potential misclassification of metformin use and limited power to detect significant differences between diabetes medications. Metformin may have directly or indirectly reduced risk of poor outcomes, [8, 9] but it is also possible that metformin use in our cohort was related to less severe diabetes (e.g. fewer complications and less hyperglycemia) compared to those with insulin use. [10] We did not have sufficient measures to calculate metformin exposures during TB treatment and assess the dose-response relationship with our study outcomes. Larger prospective studies assessing adherence, duration of exposure of diabetes medications, and its effect on TB treatment ouctomes are still warranted.

Our study was conducted among a cohort of individuals with RR-TB and diabetes from Tbilisi, Georgia, a high RR-TB setting. Our study findings highlight the potiential role of metformin (compared to sulfonylureas or insulin) in reducing risk of poor outcomes during and after TB treatment among individuals with RR-TB and diabetes.

Supplementary Material

Supplement 1

ACKNOWLEDGEMENTS

We would like to thank Mamuka Chincharauli for his assistance in pooling data from the Georgia’s TB online surveillance system.

STUDY FUNDING

This work was supported in part by the National Institute of Allergy and Infectious Diseases of the National Institutes of Health [R03AI133172, R03AI139871], Fogarty International Center (FIC) [D43TW007124, R21TW011157] as well as grant from the Emory Global Health Institute. ADS was supported by a Vanderbilt Emory Cornell Duke (VECD) Global Health Fellowship, funded by the FIC of the NIH [D43TW009337]. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Footnotes

CONFLICT OF INTEREST

We have no conflict of interest to declare.

ETHICS APPROVAL

This study was submitted to, reviewed, and approved by the Institutional Review Boards (IRBs) at Georgia State University and Emory University, Atlanta, USA and the ethics committee at National Center for Tuberculosis and Lung Diseases, Tbilisi, Georgia (FWA00020831). Waiver of informed consent was obtained from IRBs and ethics committee listed above as no human interactions occurred during the study process.

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