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. 2021 Jul 27;11:15283. doi: 10.1038/s41598-021-94590-x

The association of atherosclerotic cardiovascular disease and statin use with inflammation and treatment outcomes in tuberculosis

Vignesh Chidambaram 1, Jennie Ruelas Castillo 1, Amudha Kumar 2, Justin Wei 1, Siqing Wang 1, Marie Gilbert Majella 3, Akshay Gupte 1, Jann-Yuan Wang 4, Petros C Karakousis 1,5,✉
PMCID: PMC8316554  PMID: 34315941

Abstract

Tuberculosis (TB) and atherosclerotic cardiovascular disease (ASCVD) have a close epidemiological and pathogenetic overlap. Thus, it becomes essential to understand the relationship between ASCVD and TB outcomes. From our retrospective cohort on drug-susceptible TB patients at the National Taiwan University Hospital, we assessed the association of pre-existing ASCVD (coronary artery disease (CAD) and atherothrombotic stroke (ATS)) with 9-month all-cause and infection-related mortality and the extent of mediation by systemic inflammatory markers. We determined the effect of pre-existing ASCVD on 2-month sputum microbiological status. Among ASCVD patients, we assessed the association of statin use on mortality. Nine-month all-cause mortality was higher in CAD patients with prior acute myocardial infarction (CAD+AMI+) (adjusted HR 2.01, 95%CI 1.38–3.00) and ATS patients (aHR 2.79, 95%CI 1.92–4.07) and similarly, for infection-related mortality was higher in CAD+AMI+ (aHR 1.95, 95%CI 1.17–3.24) and ATS (aHR 2.04, 95%CI 1.19–3.46) after adjusting for confounding factors. Pre-existing CAD (AMI- or AMI+) or ATS did not change sputum culture conversion or sputum smear AFB positivity at 2 months. The CAD+AMI+ group had significantly higher levels of CRP at TB diagnosis in the multivariable linear regression analysis (Adjusted B(SE) 1.24(0.62)). CRP mediated 66% (P = 0.048) and 25% (P = 0.033) of the association all-cause mortality with CAD+AMI− and CAD+AMI+, respectively. In summary, patients with ASCVD have higher hazards of 9-month all-cause and infection-related mortality, with elevated serum inflammation mediating one to three-quarters of this association when adjusted for confounders. Statin use was associated with lower all-cause mortality among patients with ASCVD.

Subject terms: Tuberculosis, Atherosclerosis, Cerebrovascular disorders, Coronary artery disease and stable angina

Introduction

Tuberculosis (TB) is a global disease, with low- and middle-income countries contributing nearly 98% of incident cases1. In parallel, these regions account for almost 80% of global cardiovascular mortality2,3. Patients with TB, either active TB disease or latent TB infection, have an increased risk of developing atherosclerotic cardiovascular diseases (ASCVD), such as coronary artery disease (CAD)4–6, including acute myocardial infarction (AMI)7,8, and acute ischemic stroke9,10, as well as mortality due to these diseases11. However, the effect of pre-existing ASCVD on TB treatment outcomes is uncertain.

Elevated systemic inflammatory markers, such as C-reactive protein (CRP), total white blood cell count (WBC), and neutrophil–lymphocyte ratio (NL ratio), are elevated and predict poor outcomes in ASCVD patients12–16. CRP and other inflammatory markers also correlate with sputum mycobacterial load17, and portend a poor prognosis18 and increased mortality19–22 in TB patients. Thus, there is a need to assess the potential role of systemic inflammation in the association between pre-existing ASCVD and TB treatment outcomes.

Statins, apart from the role in primary and secondary CAD prevention, are known to reduce systemic inflammation23. Preclinical models have shown that statins enhance autophagy and phagosome maturation in Mycobacterium tuberculosis-infected macrophages and reduce the bacillary burden in human macrophages. As adjunctive therapy, statins improve sterilizing activities of the first-line anti-tubercular regimen in murine models24–27. Though systematic reviews have shown that statin use reduces the incidence of active TB 28,29, there is no clinical evidence on whether statins have salutary effects in TB patients after adjusting for confounding factors30.

In our study, we assessed the association of pre-existing ASCVD with all-cause and infection-related mortality during the first nine months of TB treatment and evaluated to what extent the levels of systemic inflammatory markers mediate this association. We also determined the effect of pre-existing ASCVD on 2-month sputum culture and acid-fast bacilli (AFB) smear conversion. Among patients with pre-existing ASCVD, we assessed the association of statin use with 9-month mortality.

Methods

Study design and population

Our retrospective cohort included all consecutive adults (aged > 18 years) with culture-confirmed drug-susceptible TB, treated according to American Thoracic Society guidelines31 at the National Taiwan University Hospital (NTUH), a referral center in Taipei city from 2000 to 2016, with no specific exclusion criteria32. All data were obtained from the NTUH database. The study was approved by the institutional review boards (IRB) at Johns Hopkins University and NTUH and the study methods were carried out in accordance with the IRB guidelines and regulations. As this was a retrospective chart review, informed consent from the study subjects was waived off by the IRBs at NTUH and Johns Hopkins School of Medicine.

Baseline characteristics

Data were obtained on baseline characteristics, such as age, sex, body mass index (BMI), diabetes mellitus (DM), hypertension (HTN), cancer, chronic kidney disease (CKD), chronic obstructive pulmonary disease (COPD), asthma, smoking, alcohol use disorder, solid organ or bone marrow transplantation, HIV status, baseline sputum smear for AFB (0 to 4 +), cavitary disease on chest radiography, and prior TB history.

Exposures

The three exposures assessed in our study are as follows: (1) CAD: the diagnosis of pre-existing CAD was based on either angiographic evidence of CAD, admission ICD codes, or review of outpatient medical records. For this exposure, the patients were stratified into three groups: No evidence of CAD (CAD-), CAD without history of AMI (CAD+AMI−) and CAD with history of AMI (CAD+AMI+); (2) Atherothrombotic stroke (ATS): The ATS subtype of stroke, based on admission ICD codes or outpatient medical records, was our exposure of interest; (3) Statin use among patients with ASCVD (CAD or ATS): For this study, we defined pre-existing ASCVD as the presence of pre-existing CAD or ATS. Exposure for the “intention-to-treat” analysis for statin use was defined as the use of any of the following equivalent doses of moderate-intensity statin therapy33: atorvastatin 10 mg, simvastatin 20 mg, pravastatin 40 mg, rosuvastatin 10 mg, lovastatin 40 mg, fluvastatin 80 mg or pitavastatin 2 mg33 for a minimum of 2 weeks (14 doses) in the first month of TB treatment. Exposure for the “per-protocol” analysis was defined as the use of any of the above doses of statins for > 80% (7.2 months) of the 9 months following the initiation of TB treatment, or > 80% of the duration of follow-up if lost to follow-up or death occurred before nine months.

Systemic inflammatory markers

C-reactive protein (CRP)(mg/dL), total leukocyte count (WBC) (× 103/µL) and neutrophil–lymphocyte ratio (NL ratio) available at baseline were documented. Any test result for the inflammatory markers within 30 days of TB diagnosis was considered as baseline.

Outcomes

Primary outcomes were all-cause and infection-related mortality during the first 9 months of TB treatment. Infection-related mortality was a composite outcome of death due to pneumonia, sepsis, or TB. Secondary outcomes included sputum AFB smear positivity and culture positivity at 2 months after treatment initiation.

Statistical analysis

Patient characteristics, stratified into three groups of CAD status (non-CAD, CAD+AMI−, CAD+AMI+), were compared using ANOVA for normally distributed data, Kruskal–Wallis test for non-normally distributed data, and chi-square (χ2) test for categorical variables. Patient characteristics stratified by the presence of ATS, the second exposure of interest, were compared using a two-sided t-test and χ2 test for continuous and categorical variables, respectively. Kaplan–Meier analysis and Cox proportional hazards regression was used to measure the association between the above exposures and all-cause and infection-related mortality in separate models. Detailed statistical methods are described in the supplementary document (section I). The association between the above exposures and sputum-smear and culture positivity at 2 months were analyzed using univariable and multivariable logistic regression. Potential confounders for multivariable analyses were identified by literature review and by exploratory univariable data analysis at P < 0.05 significance, depending on the assessed exposure.

The association of pre-existing CAD and ATS, and serum inflammatory markers, namely CRP, WBC, and NL ratio, was analyzed using univariable and multivariable linear regression analyses. We constructed a causal directed acyclic graph (cDAG) to represent our proposed mediation hypothesis linking the exposure (pre-existing CAD+AMI− or CAD+AMI+ or ATS) and the outcome (all-cause and infection-related mortality during TB treatment) by using inflammatory markers (measured by CRP, NL ratio, WBC count) as the potential mediators. The confounders identified above were added to the model. We estimated the path coefficients using structural equation modelling (SEM). The effect on ASCVD on mortality that is mediated through the inflammatory markers was considered the “indirect effect,” and that mediated by all other factors constituted the “direct effect”. The statistical significance of the indirect effects was assessed by the post-estimation “medsem” command34 in STATA, which utilizes the Zhao, Lynch & Chen's approach35 to testing mediation through the Monte-Carlo simulations (5000 reps).

Among patients with pre-existing ASCVD, we measured the association of statin use, classified according to the intention-to-treat and per-protocol definitions, and all-cause mortality and infection-related mortality using separate univariable and multivariable Cox regression models. In order to appropriately assign statin exposure, only patients who survived beyond the first-month post-TB treatment initiation were included. Sensitivity analyses were conducted by: (i) including patients who died within the first month of TB treatment; and (ii) excluding patients who did not receive the required dose of statin from the comparison group. Statistical analyses were performed using STATA/IC 16.0 software (StataCorp, College Station, Texas).

Results

Patient characteristics and outcomes

Among 2,894 culture-confirmed, drug-sensitive pulmonary TB cases, with a median (IQR) age of 66.6 (49.1–77.8) years, 355 patients had pre-existing ASCVD (Fig. 1). Among the 355 patients, 291 patients had CAD, while 102 patients had a history of ATS. Thirty-eight patients had a history of both CAD and ATS. Among 291 patients with CAD, 180 patients (6.2%) had no prior AMI (CAD+AMI− group), and 111 patients (3.8%) had prior AMI (CAD+AMI+ group) (Table 1 and Fig. 1).

Figure 1.

Figure 1

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Flow diagram for patient stratification. (A) Stratification based on the diagnosis of pre-existing coronary artery disease (CAD). (B) Stratification based on the diagnosis of pre-existing atherothrombotic stroke (ATS). (C) Stratification based on statin use among patients with Atherosclerotic cardiovascular disease (ASCVD). CAD+AMI−, Pre-existing coronary artery disease without prior acute myocardial infarction; CAD+AMI+, Pre-existing coronary artery disease with prior acute myocardial infarction. *38 patients had both pre-existing CAD and ATS.

Table 1.

Patient characteristics stratified by coronary artery disease (CAD) and atherothrombotic stroke (ATS).

Study characteristics Measure All patients (N = 2894) Coronary Artery Disease (CAD) Atherothrombotic stroke (ATS)
Non-CAD (n = 2603) CAD+ AMI-(n = 180) CAD+ AMI+ (n = 111) P-value Non-ATS (n = 2792) ATS (n = 102) P-value
Age (years) Median (IQR) 66.6 (49.1–77.8) 64.3 (47.3–76.9) 78.1 (72.2–84.4) 71.4 (58.7–82.8)  < 0.001 65.9 (48.4–77.5) 77.8(71.4–86.3)  < 0.001
Male Sex No (%) 1975 (68.2%) 1756 (67.5%) 140 (77.8%) 79 (71.2%) 0.013 1910 (68.4%) 65 (63.7%) 0.318
BMI Mean (SD) 21.1 (4.2) 21.2 (4.2) 21.8 (3.8) 21.8 (3.5) 0.019 21.3 (2.9) 21.5 (4.4) 0.545
Smoking No. (%) 930 (40.5%) 822(40.3%) 73(44.5%) 35(38.5%) 0.523 897 (40.6%) 33 (38.4%) 0.681
Alcoholism No. (%) 81 (2.8%) 74 (2.8%) 4 (2.2%) 3 (2.7%) 0.886 78 (2.8%) 3 (3%) 0.901
DM No. (%) 533 (18.5%) 434 (16.7%) 72 (40%) 27 (24.3%)  < 0.001 489 (17.5%) 44 (44%)  < 0.001
HTN No. (%) 1052(36.4%) 842 (32.4%) 145 (80.6%) 65 (58.6%)  < 0.001 968 (34.7%) 84 (84%)  < 0.001
Cancer No. (%) 459 (15.9%) 398 (15.3%) 38 (21.1%) 23 (20.7%) 0.044 439 (15.8%) 20 (20%) 0.253
CKD Stage ≥ 3 No. (%) 970 (33.5%) 858 (32.9%) 77 (42.8%) 35 (31.5%) 0.024 922 (33%) 48 (48%) 0.002
Asthma No. (%) 123 (4.2%) 99 (3.8%) 15 (8.3%) 4 (3.6%) 0.012 114 (4.1%) 4 (4%) 0.968
COPD No. (%) 451 (15.6%) 365 (14.0%) 66 (36.7%) 20 (18.0%)  < 0.001 428 (15.3%) 23 (23%) 0.037
Bronchiectasis No. (%) 121 (4.2%) 106 (4.1%) 9 (5.0%) 6 (5.4%) 0.672 119 (4.3%) 2 (2%) 0.267
Pneumoconiosis No. (%) 35 (1.2%) 30 (1.2%) 4 (2.2%) 1 (0.9%) 0.426 35 (1.3%) 0 (0%) 0.260
Liver cirrhosis No. (%) 50 (1.7%) 45 (1.7%) 2 (1.1%) 3 (2.7%) 0.599 49 (1.8%) 1 (1%) 0.570
History of transplant No. (%) 26 (.9%) 20 (0.8%) 3 (1.7%) 3 (2.7%) 0.057 25 (0.9%) 1 (1%) 0.913
HIV No. (%) 65 (2.3%) 61 (2.3%) 1 (0.6%) 3 (2.7%) 0.278 65 (2.3%) 0 (0%) 0.123
CAD No. (%) 291 (10.0%) 0 (0%) 180(100%) 111(100%) - 253 (9.1%) 38 (37.3%)  < 0.001
ATS No. (%) 102 (3.5%) 64 (2.5%) 21(11.7%) 17(15.3%)  < 0.001 0 (0%) 102 (100%) -
Baseline lipid levels
LDL (n = 170)* Mean (SD) 90.7 (36.9) 91.5 (37.9) 89.3 (39.3) 84.5 (21.9) 0.792 91.2 (37.6) 83.3 (23.3) 0.492
HDL (n = 249)* Mean (SD) 35.5 (14.8) 35.1 (14.3) 38.9 (14.2) 38.3 (21.3) 0.528 35.5 (14.3) 36.3 (21.7) 0.837
TCHOL (n = 429)* Mean (SD) 152.2 (51.3) 152.4 (53.0) 155.3 (42.6) 144.2 (28.1) 0.623 152.5 (52.0) 145.7 (33.0) 0.057
TG (n = 495)* Mean (SD) 109.3 (79.1) 110.6 (81.1) 95.4 (49.7) 111.1 (85.6) 0.928 110.9 (80.4) 81.7 (44.3) 0.067
TB disease characteristics
Initial AFB smear positivity No. (%) 1215 (42.8%) 1096 (42.8%) 62 (35.2%) 57 (53.8%) 0.009 1179 (42.9%) 36 (37.9%) 0.330
Initial AFB smear grade Median (IQR) 0 (0–2) 0 (0–2) 0 (0–1) 1 (0–3) 0.002 0 (0–2) 0 (0–1) 0.127
Prior TB No. (%) 98 (6.1%) 83 (5.8%) 10 (9.6%) 5 (6.8%) 0.291 96 (6.3%) 2 (3.2%) 0.318
Cavitary disease No. (%) 413 (14.3%) 390 (14.9%) 13 (7.2%) 10 (9.0%) 0.004 406 (14.5%) 7 (7%) 0.034
Cardiovascular drug use
Metformin users No. (%) 252 (8.7%) 208 (7.9%) 33(18.3%) 11 (9.9%)  < 0.001 236 (8.5%) 16 (16%) 0.008
Statin users No. (%) 154 (5.3%) 97 (3.7%) 39 (21.7%) 18 (16.2%)  < 0.001 140 (5.0%) 14 (14%)  < 0.001
Calcium channel blocker users No. (%) 391 (13.5%) 308(11.8%) 52(28.9%) 31(27.9%)  < 0.001 351 (12.6%) 40 (40%)  < 0.001
Outcomes
All-cause mortality No. (%) 544/2667 (20.4%) 455 (19.0%) 50 (29.6%) 39 (37.1%)  < 0.001 499 (19.4%) 45 (44.1%)  < 0.001
Infection-related mortality No. (%) 303/2667 (11.4%) 252 (10.5%) 28 (16.6%) 23 (21.9%)  < 0.001 279 (10.9%) 24 (25.3%)  < 0.001
2-month Sputum-culture positivity No. (%) 265/1640 (16.2%) 240 (16.2%) 11 (10.8%) 14 (23.3%) 0.107 257 (16.2%) 8 (14.8%) 0.785
2-month Sputum-smear AFB positive No. (%) 118/1640 (7.2%) 109 (7.4%) 4 (3.9%) 5 (8.3%) 0.402 114 (7.2%) 4 (7.4%) 0.951
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AFB: Acid-fast bacilli; BMI: Body mass index; ATS: Atherothrombotic stroke, CAD: Coronary artery disease; CAD + AMI + : Coronary artery disease with history of Acute myocardial infarction; CAD + AMI-: Coronary artery disease without history of Acute myocardial infarction; CCB: Calcium channel blocker; CCI: Charlson comorbidity index; CHF: Congestive heart failure; CKD: Chronic kidney disease; COPD: Chronic obstructive pulmonary disease; CVA: Cerebrovascular accident; DM: Diabetes mellitus; HDL: High density lipoprotein cholesterol; HIV: Human immunodeficiency virus; HTN: Hypertension; IQR, Interquartile range; LDL: Low density lipoprotein cholesterol; PVD: Peripheral vascular disease; SD: Standard deviation. * Lipid levels were available only for a subset of the population.

During the first 9 months after TB treatment initiation, a total of 544/2667 patients (20.4%) died of all causes, and 303/2667 patients (11.4%) died of infection-related causes, comprising 55.7% (303/544 patients) of all deaths. Among this group, 43 patients (14.2%) died due to TB-related causes, 124 patients (40.9%) due to pneumonia, and 136 patients (44.9%) due to sepsis. At 2 months, 265/1640 (16.2%) patients had positive culture results, and 118/1640 (7.2%) patients had positive sputum smear AFB.

Stratification based on pre-existing CAD and AMI

Patient characteristics

Compared to patients in the non-CAD group, patients in the CAD+AMI+ and CAD+AMI− groups were older (median age; 64.3 vs. 78.1 vs. 71.4 years, respectively; P < 0.001), more likely to be male (67.5% vs. 77.8% vs. 71.2%, respectively; P = 0.013) and had a higher BMI (mean BMI (kg/m2); 21.2 vs. 21.8 vs. 21.8, respectively; P = 0.013). Comorbidities, such as DM, HTN, cancer, CKD, asthma, and COPD, were more prevalent in the CAD groups. Sputum smear AFB positivity at baseline was highest in the CAD+AMI+ group (53.8%) (Table 1). The non-CAD group had a higher proportion of patients with cavitary TB disease at baseline compared to the CAD+AMI− and CAD+AMI+ groups (14.9% vs. 7.2% vs. 9.0%, respectively; P < 0.001) (Table 1).

Mortality

There was a higher all-cause mortality in the CAD+AMI+ group (39/105 patients, 37.1%) and CAD+AMI− group (50/169 patients, 29.6%) compared to the non-CAD group (455/2393 patients, 19.0%) (P < 0.001) by χ2 test (Table 1). The log-rank test of the Kaplan–Meier analysis showed that patients in the CAD+AMI− and CAD+AMI+ groups had significantly shorter survival compared to patients without CAD (Fig. 2A; P < 0.001). After adjusting for age, gender, BMI, DM, HTN, cancer, CKD, asthma, COPD, liver cirrhosis, transplant status, sputum AFB status and cavitary disease at baseline, metformin use, statin use, calcium channel blocker use, patients in the CAD+AMI− group had a HR of 1.31 (95%CI 0.91–1.89) and the CAD+AMI+ group had a HR of 2.04 (95%CI 1.38–3.00) for all-cause mortality (Table 2). Patients with CAD+AMI− and CAD+AMI+ had earlier infection-related mortality by the log-rank test of the Kaplan–Meier analysis (Fig. 2B; P < 0.001). After adjusting for confounders, the CAD+AMI− group had a HR of 1.36 (95%CI, 0.84–2.21) and the CAD+AMI+ group had a HR of 1.95 (95%CI, 1.17–3.24) for infection-related mortality compared to the non-CAD group (Table 2).

Figure 2.

Figure 2

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Kaplan Meier analysis on the association of pre-existing coronary artery disease (CAD) with (A) all-cause mortality and (B) infection-related mortality. Association of pre-existing atherothrombotic stroke (ATS) with (C) all-cause mortality and (D) infection-related mortality.CAD+AMI−, Pre-existing coronary artery disease without prior acute myocardial infarction; CAD+AMI+, Pre-existing coronary artery disease with prior acute myocardial infarction.

Table 2.

Association of CAD with mortality and sputum microbiological status.

Outcomes CAD+ AMI- CAD+ AMI+ ATS
Unadjusted Effect size (95%CI) P-value Adjusted Effect size (95%CI) #& P-value Unadjusted Effect size (95%CI) P-value Adjusted Effect size (95%CI) #& P-value Unadjusted Effect size (95%CI) P-value Adjusted Effect size (95%CI) #$ P-value
All-cause mortality (HR) 1.73 (1.29–2.32)  < 0.001 1.31 (0.91–1.89) 0.151 2.24 (1.62–3.11)  < 0.001 2.04 (1.38–3.00)  < 0.001 2.99 (2.21–4.06)  < 0.001 2.79 (1.92–4.07)  < 0.001
Infection-related (HR) mortality 1.73 (1.17–2.56) 0.006 1.36 (0.84–2.21) 0.205 2.34 (1.53–3.58)  < 0.001 1.95 (1.17–3.24) 0.011 2.79 (1.84–4.23)  < 0.001 2.04 (1.19–3.46) 0.009
Sputum Culture positivity (OR) 0.62 (0.33–1.18) 0.148 0.75 (0.37–1.54) 0.438 1.57 (0.85–2.90) 0.150 1.24 (0.59–2.58) 0.562 0.89 (0.42–1.93) 0.785 0.71 (0.26–1.92) 0.495
Sputum AFB smear positivity (OR) 0.51 (0.19–1.42) 0.199 0.95 (0.31–2.94) 0.926 1.14 (0.45–2.91) 0.781 1.29 (0.46–3.67) 0.627 1.03 (0.37–2.91) 0.951 1.84 (0.49–6.75) 0.360
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AFB: Acid-fast bacilli; ATS: Atherothrombotic stroke, CAD + AMI + : Coronary artery disease with history of Acute myocardial infarction; CAD + AMI-: Coronary artery disease without history of Acute myocardial infarction, HR: Hazard ratio, OR: Odds ratio.

#Adjusted for age, gender, body mass index (BMI), diabetes mellitus (DM), hypertension (HTN), cancer, chronic kidney disease (stage 3–5), asthma, chronic obstructive pulmonary disease (COPD), liver cirrhosis, transplant status, baseline sputum AFB status, cavitary disease at baseline, metformin use, statin use, and calcium channel blocker use.

& Additionally adjusted for ATS.

$ Additionally adjusted for CAD.

Microbiological outcomes

After adjusting for confounders, the CAD+AMI− group had an odds ratio (OR) of 0.75 (95%CI, 0.37–1.54) and the CAD+AMI+ group had a OR of 1.24 (95%CI, 0.59–2.58) for sputum culture positivity at 2 months, compared to the non-CAD group. After adjusting for confounders, the CAD+AMI− group had an OR of 0.95 (95%CI, 0.31–2.94) and the CAD+AMI+ group had an OR of 1.29 (95%CI, 0.46–3.67) for sputum smear positivity at 2 months compared to the non-CAD group (Table 2).

Stratification based on ATS

Patient characteristics

Compared to the non-ATS group, patients with ATS were older (median age: 65.9 vs. 77.8 years, P < 0.001), were equally likely to be male (68.4% vs. 63.7%, P = 0.318), and had a similar BMI (mean BMI (kg/m2): 21.3 vs. 21.5, P = 0.545). Sputum AFB smear status at baseline was similar in the two groups (Table 1). The non-ATS group had a higher proportions of patients with cavitary TB disease at baseline (14.5% vs 7% P = 0.034) compared to patients with ATS (Table 1).

Mortality

There was a significantly higher all-cause mortality in the ATS group (45/95 patients, 44.1%) compared to the non-CAD group (499/2572 patients, 17.9%) (P < 0.001) by χ2 test (Table 1). The log-rank test Kaplan–Meier analysis showed that patients in the ATS group had shorter time to all-cause and infection-related mortality compared to patients without ATS (Fig. 2C,D; P < 0.001). After adjusting for confounders, patients in the ATS group had a HR of 2.79 (95%CI 1.92–4.07) for all-cause mortality and 2.04 (95%CI, 1.19–3.46) for infection-related mortality (Table 2).

Microbiological outcomes

After adjusting for confounders, the ATS group had an OR of 0.71 (95%CI, 0.26–1.92) for sputum culture positivity at 2 months and an OR of 1.84 (95%CI, 0.49–6.75) for sputum smear positivity at 2 months compared to the non-ATS group (Table 2).

Association of ASCVD with systemic inflammation and its mediation of mortality

After adjusting for confounders, the CAD+AMI+ group had a significantly higher mean CRP (Regression co-efficient B (SE), 1.24 (0.62), P = 0.040) and the CAD+AMI− group had a non-significantly higher CRP (B (SE), 1.04(0.60), P = 0.087) compared to the non-CAD group in the linear regression analysis (Table 3). The ATS group had a non-significantly higher CRP (B (SE), 0.49(0.68), P = 0.466) compared to the non-ATS group at baseline. No similar association was noted between the presence of CAD or ATS and other inflammatory markers, such as WBC or NL ratio at baseline.

Table 3.

Association of CAD and acute myocardial infarction (AMI) with inflammatory parameters.

Inflammatory markers CAD+ AMI- CAD+ AMI+ ATS
Unadjusted B(SE) P-value Adjusted B(SE) #& P-value Unadjusted B(SE) P-value Adjusted B(SE) #& P-value B(SE) P-value AdjustedB(SE) #$ P-value
C-reactive protein 1.08 (0.52) 0.038 1.04 (0.60) 0.087 1.41 (0.57) 0.038 1.24 (0.62) 0.040 0.61 (0.61) 0.315 0.49 (0.68) 0.466
WBC 0.19 (0.33) 0.567 0.22 (0.38) 0.563 -0.17 (0.41) 0.670 -0.00(0.44) 0.993 0.12 (0.43) 0.783 0.12 (0.49) 0.801
NL ratio 0.03 (0.19) 0.891 -0.16 (0.21) 0.452 0.20 (0.23) 0.387 0.22 (0.23) 0.346 0.56 (0.24) 0.018 0.40 (0.26) 0.127
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ATS: Atherothrombotic stroke, CAD + AMI + : Coronary artery disease with history of Acute myocardial infarction; CAD + AMI-: Coronary artery disease without history of Acute myocardial infarction, B: Regression co-efficient, SE: Standard error.

#Adjusted for age, gender, body mass index (BMI), diabetes mellitus (DM), hypertension (HTN), cancer, chronic kidney disease (stage 3–5), asthma, chronic obstructive pulmonary disease (COPD), liver cirrhosis, transplant status, baseline sputum AFB status, cavitary disease at baseline, metformin use, statin use, and calcium channel blocker use.

&Additionally adjusted for ATS.

$Additionally adjusted for CAD.

The causal directed acyclic graph (cDAG) representing our proposed mediation hypothesis linking the exposure (pre-existing ASCVD) and the outcome (all-cause and infection-related mortality during TB treatment) by using inflammatory markers (measured by CRP, NL ratio, WBC count) as the potential mediators is shown in Fig. 3. CRP mediated 66% of the association of CAD+AMI− with all-cause mortality (P = 0.048) and 73% of the association with infection-related mortality (P = 0.035) (Table 4). CRP mediated 25% of the association of CAD+AMI+ with all-cause mortality (P = 0.033) and 36% of the association with infection-related mortality (P = 0.042). CRP did not significantly mediate the association of ATS with all-cause or infection-related mortality (Table 4). WBC and NL ratio were not found to mediate the association of ASCVD and mortality.

Figure 4.

Figure 4

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Kaplan Meier analysis on the association of statin use among patients with Atherosclerotic cardiovascular disease (ASCVD) with (A) all-cause mortality and (B) infection-related mortality.

Table 4.

Assessment of mediation of the effect of CAD and ATS on mortality by inflammatory parameters (adjusted analysis).

Outcome All-cause mortality Infection-related mortality
Total effect β (95%CI) Direct effect β (95%CI) Indirect effect β (95%CI) Effect mediated by inflammatory parameters % (95%CI) Total effect β (95%CI) Direct effect β (95%CI) Indirect effect β (95%CI) Effect mediated by inflammatory parameters% (95%CI)
Effect Mediation by CRP
CAD+ AMI- 0.05 (-0.07 to 0.17) (P = 0.439) 0.02 (-0.09 to 0.13) (P = 0.407) 0.03(0.01 to 0.06) (P = 0.047) 66% (P = 0.048) 0.03 (-0.07 to 0.14) (P = 0.559) 0.01 (-0.09 to 0.11) (P = 0.876) 0.02 (0.01 to 0.04) (P = 0.035) 73% (P = 0.035)
CAD+ AMI+ 0.13 (0.01 to 0.23) (P = 0.038) 0.09 (-0.02 to 0.21) (P = 0.111) 0.03 (0.01 to 0.06) (P = 0.033) 25% (P = 0.033) 0.07 (-0.03 to 0.18) (P = 0.180) 0.05 (-0.04 to 0.13) (P = 0.297) 0.03 (0.01 to 0.05) (P = 0.033) 36% (P = 0.042)
ATS 0.07 (-0.05 to 0.19) (P = 0.257) 0.07 (-0.04 to 0.18) (P = 0.259) 0.01 (-0.02 to 0.04) (P = 0.814) 6% (0.828) 0.04(-0.07 to 0.15) (P = 0.459) 0.04 (-0.07 to 0.15) (P = 0.494) 0.01 (-0.02 to 0.03) (P = 0.812) 7% (P = 0.829)
Effect Mediation by WBC
CAD+ AMI- 0.03 (-0.05 to 0.11) (P = 0.422) 0.04 (-0.05 to 0.10) (P = 0.531) 0.01 (-0.01 to 0.02) (P = 0.223) 25% (P = 0.226) 0.03 (-0.04 to 0.09) (P = 0.362) 0.03 (-0.04 to 0.09) (P = 0.427) 0.01(-0.01 to 0.02) (P = 0.262) 15% (0.258)
CAD+ AMI+ 0.13 (0.04 to 0.22) (P = 0.010) 0.13 (0.03 to 0.22) (P = 0.010) -0.01 (-0.02 to 0.02) (P = 0.796) 1% (P = 0.796) 0.08 (-0.01 to 0.16) (P = 0.065) 0.08 (-0.01 to 0.16) (P = 0.058) -0.01 (-0.01 to 0.01) (P = 0.796) 1% (0.789)
ATS 0.20 (0.09 to 0.31) (P < 0.001) 0.20 (0.09 to 0.30) (P < 0.001) 0.01 (-0.02 to 0.02) (P = 0.714) 1% (P = 0.728) 0.07 (-0.02 to 0.16) (P = 0.124) 0.07 (-0.02 to 0.16) (P = 0.128) 0.01 (-0.01 to 0.02) (P = 0.716) 2% (P = 0.736)
Effect Mediation by NL ratio
CAD+ AMI- 0.04 (-0.05 to 0.12) (P = 0.416) 0.05 (-0.04 to 0.12) (P = 0.333) -0.01 (-0.03 to 0.01) (P = 0.590) 14% (P = 0.581) 0.03 (-0.03 to 0.11) (P = 0.364) 0.04 (-0.04 to 0.11) (P = 0.317) -0.01 (-0.02 to 0.01) (P = 0.594) 8% (P = 0.586)
CAD+ AMI+ 0.12 (0.02 to 0.21) (P = 0.006) 0.11 (0.01 to 0.21) (P = 0.031) 0.01 (-0.02 to 0.03) (P = 0.492) 7% (P = 0.512) 0.07 (-0.01 to 0.15) (P = 0.104) 0.07 (-0.02 to 0.15) (P = 0.131) 0.01 (-0.01 to 0.02) (P = 0.491) 8% (P = 0.517)
ATS 0.19 (0.08 to 0.30) (P = 0.001) 0.18 (0.07 to 0.29) (P = 0.002) 0.01 (-0.02 to 0.04) (P = 0.440) 6% (P = 0.452) 0.06 (-0.03 to 0.16) (P = 0.180) 0.06 (-0.04 to 0.15) (P = 0.234) 0.01 (-0.01 to 0.02) (P = 0.429) 10% (P = 0.459)
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ATS: Atherothrombotic stroke, CAD + AMI + : Coronary artery disease with history of Acute myocardial infarction; CAD + AMI-: Coronary artery disease without history of Acute myocardial infarction, B: Regression co-efficient, SE: Standard error.

#Adjusted for age, gender, body mass index (BMI), diabetes mellitus (DM), hypertension (HTN), cancer, chronic kidney disease (stage 3–5), asthma, chronic obstructive pulmonary disease (COPD), liver cirrhosis, transplant status, metformin use, statin use, and calcium channel blocker use.

&Additionally adjusted for ATS.

$Additionally adjusted for CAD.

Stratification based on statin use among patients with ASCVD (CAD or ATS)

Patient characteristics

Among 355 patients with pre-existing ASCVD, 65 patients (18.3%) received statins according to the intention to treat definition and 45 patients (12.7%) received statins according to the per-protocol definition. Patient characteristics stratified by statin use according to the intention-to-treat exposure are shown in Table 5.

Table 5.

Patient characteristics stratified by statin user in patients with cardiovascular disorders.

Study characteristics Measure Total (N = 355) Statin non-users (n = 290) Statin users (n = 65) P-value
Age (years) Median (IQR) 76.7 (69.1–84.1) 77.1 (69.1–84.4)) 75.8 (67.7–83.5) 0.395
Male Sex No (%) 260 (73.2%) 207 (71.4%) 53 (81.5%) 0.094
BMI Mean (SD) 21.8 (0.22) 21.5 (0.24) 23.2 (0.48) 0.002
Smoking No. (%) 130(41.3%) 99(39.3%) 31(49.2%) 0.153
Alcoholism No. (%) 9 (2.5%) 8 (2.8%) 1 (1.5%) 0.572
DM No. (%) 124(34.9%) 91(31.4%) 33(50.8%) 0.003
HTN No. (%) 263(74.1%) 207(71.4%) 56(86.2%) 0.014
Cancer No. (%) 73(20.6%) 63(21.7%) 10(15.4%) 0.253
CKD Stage ≥ 3 No. (%) 141(39.7%) 112(38.6%) 29(44.6%) 0.372
Asthma No. (%) 20(5.6%) 19(6.6%) 1(1.5%) 0.113
COPD No. (%) 98(27.6%) 79(27.2%) 19(29.2%) 0.746
Bronchiectasis No. (%) 17(4.8%) 13(4.5%) 4(6.2%) 0.568
Pneumoconiosis No. (%) 5(1.4%) 3(1.0%) 2(3.1%) 0.207
Liver cirrhosis No. (%) 6(1.7%) 6(2.1%) 0(0%) 0.242
History of transplant No. (%) 7(1.9%) 6(2.1%) 1(1.5%) 0.781
HIV No. (%) 4(1.1%) 3(1.0%) 1(1.5%) 0.728
CAD No. (%) 291(81.9%) 232(80%) 59(90.8%) 0.041
ATS No. (%) 102(28.7%) 86(29.7%) 16(24.6%) 0.417
Baseline lipid levels
LDL Mean (SD) 86.1 (5.2) 83.5 (24.8) 89.6 (38.1) 0.572
HDL Mean (SD) 37.3 (2.5) 39.5 (19.6) 34.3 (2.8) 0.314
TCHOL Mean (SD) 150.3 (4.7) 149.5 (6.2) 151.5 (7.3) 0.836
TG Mean (SD) 96.8 (6.8) 86.3 (8.6) 119.3 (9.8) 0.024
TB disease characteristics
Initial AFB smear positivity No. (%) 144(42.1%) 113(40.2%) 31(50.8%) 0.128
Initial AFB smear grade Median (IQR) 0 (0–2) 0 (0–2) 1 (0–2) 0.111
Prior TB No. (%) 16(7.4%) 11(6.1%) 5(13.5%) 0.117
Cavitary disease No. (%) 28(7.9%) 22(7.6%) 6(9.2%) 0.657
Cardiovascular drug use
Metformin users No. (%) 55(15.5%) 35(12.1%) 20(30.8%)  < 0.001
Calcium channel blocker users No. (%) 107(30.1%) 84(28.9%) 23(35.4%) 0.308
Outcome
All-cause mortality No. (%) 115 (34.5%) 102 (37.9%) 13 (20.3%) 0.008
Infection-related mortality No. (%) 67 (20.1%) 59 (21.9%) 8 (12.5%) 0.091
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AFB: Acid-fast bacilli; BMI: Body mass index; ATS: Atherothrombotic stroke, CAD: Coronary artery disease; CAD + AMI + : Coronary artery disease with history of Acute myocardial infarction; CAD + AMI-: Coronary artery disease without history of Acute myocardial infarction; CCB: Calcium channel blocker; CCI: Charlson comorbidity index; CHF: Congestive heart failure; CKD: Chronic kidney disease; COPD: Chronic obstructive pulmonary disease; CVA: Cerebrovascular accident; DM: Diabetes mellitus; HDL: High density lipoprotein cholesterol; HIV: Human immunodeficiency virus; HTN: Hypertension; IQR, Interquartile range; LDL: Low density lipoprotein cholesterol; PVD: Peripheral vascular disease; SD: Standard deviation.

Mortality

Patients receiving statins (as per the intention-to treat definition) had a HR of 0.41 (95%CI, 0.19–0.84) for all-cause mortality and a HR of 0.42 (95%CI, 0.17–1.06) for infection-related mortality after adjusting for confounders (Table 6, Fig. 4A,B). Using the per-protocol definition, patients receiving statins had a HR of 0.41 (95%CI, 0.18–0.96) for all-cause mortality and a HR of 0.43 (95%CI, 0.15–1.25) for infection-related mortality after adjusting for confounders (Table 6). Sensitivity analyses excluding patients who died less than 30 days from treatment onset (Supplementary Table 1) and excluding patients who did not receive the required dose of statin from the comparison group (Supplementary Table 2) showed lower hazard for all-cause mortality but not infection-related mortality among statin users in the intention-to-treat analysis.

Table 6.

Association of statin use with mortality in patients with cardiovascular disorders.

Characteristic Statin Use (Intention-to-treat) Statin Use (Per-protocol)
Unadjusted HR (95%CI) P-value Adjusted HR# 95%CI P-value Unadjusted HR (95%CI) P-value Adjusted HR# 95%CI P-value
All-cause mortality 0.51 0.28–0.90 0.021 0.41 0.19–0.84 0.015 0.46 0.23–0.95 0.036 0.41 0.18–0.96 0.041
Infection-related mortality 0.55 0.26–1.16 0.116 0.42 0.17–1.06 0.065 0.55 0.26–1.16 0.116 0.43 0.15–1.25 0.122
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#Adjusted for age, gender, body mass index (BMI), diabetes mellitus (DM), hypertension (HTN), cancer, chronic kidney disease (stage 3–5), asthma, chronic obstructive pulmonary disease (COPD), liver cirrhosis, transplant status, baseline sputum AFB status, cavitary disease at baseline, metformin use, and calcium channel blocker use.

Figure 3.

Figure 3

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Causal directed acyclic graph (cDAG) for the analysis of the mediation of the association of Atherosclerotic cardiovascular disease (ASCVD) with mortality by inflammatory markers. Exposure: ASCVD: CAD+AMI−, CAD+AMI+ and ATS were assessed in separate models. Mediator: Inflammatory markers: CRP, WBC and NL ratio were assessed in separate models Outcomes: All-cause and infection related mortality were assessed in separate models. Confounders: Age, gender, body mass index, diabetes mellitus, hypertension, cancer, chronic kidney disease (stage 3–5), asthma, chronic obstructive pulmonary disease, liver cirrhosis, transplant status, baseline sputum acid fast bacilli status, cavitary disease at baseline, metformin use, statin use, and calcium channel blocker use. ATS, pre-existing atherothrombotic stroke; CAD, pre-existing coronary artery disease; CAD+AMI−, Pre-existing coronary artery disease without prior acute myocardial infarction; CAD+AMI+, Pre-existing coronary artery disease with prior acute myocardial infarction. CRP: C-reactive protein; NL ratio: Neutrophil lymphocyte ratio; WBC: Total leukocyte count (× 103/µL).

Discussion

Our retrospective cohort study found that a history of prior AMI and ATS was associated with higher all-cause and infection-related mortality during the first nine months after TB treatment initiation independent of confounding factors despite the comparison group having higher rates of cavitary TB disease at baseline. Pre-existing CAD (AMI− or AMI+) or ATS was not associated with microbiological outcomes, namely sputum culture conversion or sputum smear AFB positivity at two months of TB treatment. The CAD+AMI− and CAD+AMI+ groups had significantly higher levels of systemic inflammation at TB diagnosis, manifested by higher CRP levels in the univariable analysis. The multivariable analysis showed significant association only for the CAD+AMI+ group, suggesting a relationship between the progression of CAD with systemic levels of inflammation. Higher NL ratios were noted in the ATS group only in univariable, but not multivariable, analysis.

TB and cardiovascular diseases have a close epidemiological and geographical overlap36. An important relationship has been demonstrated in the pathogenesis of TB and ASCVD37. The key hallmarks of atherosclerosis are LDL oxidation, foam cell formation and inflammation38. Preclinical studies have shown that Mtb infection of guinea pigs resulted in systemic oxidative stress, depletion of serum total antioxidant capacity and accumulation of oxidized LDL in granulomas39, with an increased expression of key atherosclerosis markers, such as scavenger receptor CD36 and lectin oxidized LDL receptor 139.

A systematic review indicated that patients with TB have an increased risk of CAD4. Also, pulmonary TB was associated with a higher hazard of progression to AMI in a propensity score-matched analysis from a US insurance claims database7. Likewise, patients with TB have an increased risk of ischemic9,10, but not hemorrhagic stroke in the first three years after TB diagnosis10 when compared to non-infected controls. Multiples cases of TB causing coronary arteritis and subsequent AMI have been reported40,41. Preclinical studies have shown that mycobacterial infection aggravates atherosclerosis formation in the aortas of hyperlipidemic, lipoprotein receptor knockout (Ldlr−/−) mice42. These data suggest that M. tuberculosis and associated systemic inflammation may play a causative role in atherosclerosis.

Prior reports in non-TB populations have shown that higher levels of systemic inflammation increase plaque instability, resulting in plaque rupture, fissuring, or erosion14,43–46. In particular, patients with CAD and elevated CRP levels have higher rates of death and progression to AMI, relative to patients with lower CRP47,48. Our study demonstrated the consistency of these findings in ASCVD patients with TB as well, with CAD patients (AMI− or AMI+) having greater levels of baseline CRP compared to patients without CAD. Similarly, patients with a history of ATS were found to have higher NL ratios than patients without ATS. Higher levels of inflammatory markers, such as CRP, WBC, and NL ratio, have been associated with a poor prognosis in patients with TB8,18. Our mediation analysis assessed whether the higher mortality observed in the CAD and ATS groups was mediated by systemic inflammation. We found that more than nearly one-quarter of the hazard of mortality in TB patients with AMI is mediated by systemic inflammation, as reflected by elevated serum CRP levels. These findings raise the intriguing possibility of targeting systemic inflammation as a potential intervention to reduce mortality and improve outcomes among TB patients with ASCVD.

Statins are commonly used agents used to reduce serum lipids and systemic inflammation to improve outcomes in patients with a history of or at risk for ASCVD. Prior systematic reviews have shown that statin use reduces TB incidence, both in patients with DM and in the general population28,29. Preclinical studies in macrophage and mouse models have demonstrated that statins enhance autophagy and phagosome maturation24, increase the proportion of NK cells, and increase secretion of the pro-inflammatory cytokines IL-1β and IL-12p70, thereby reducing the lung bacillary burden in M. tuberculosis-infected mice24,49. We found that the anti-tubercular activity of statins represents a class effect50, which is mediated by inhibition of cholesterol biosynthesis and autophagy via the AMPK-mTORC1-TFEB axis in macrophages25. These studies demonstrate that statins enhance the anti-tubercular activity of the first-line regimen and activate the host immune response against M. tuberculosis. Although a cohort study from an insurance claims database showed that TB treatment completion rates did not improve following statin therapy30, the study did not appropriately adjust for confounding factors. Furthermore, no previous clinical study has evaluated the effect of statin use on important TB-related outcomes, such as long-term lung function or sputum microbiological outcomes51. In our retrospective cohort, among patients with ASCVD, statin users had a lower hazard of all-cause mortality. We did not note a similar significant association between statin use and infection-related mortality. Though our cohort included only drug-susceptible TB patients, we believe that statin therapy may have similar beneficial effects in drug-resistant TB as well.

With respect to the strengths of our study, our large sample size enabled adjusting for multiple confounders. Availability of data on the serum inflammatory markers in a relatively large number of patients at baseline enabled mediation analysis to assess the effect of CAD mediated by systemic inflammation. Our study also has a few limitations. Follow-up levels of serum inflammatory markers following initiation of TB treatment would have enabled a trend of these parameters in patients with or without systemic inflammation at baseline. We did not have data on aspirin use, which can act as a confounding factor. We did not have a control population with respiratory or non-respiratory infections other than TB in our cohort to further assess the role played by systemic inflammation in cardiovascular diseases. The relatively small sample size of patients receiving statin therapy prevented an analysis of the effect of statin use on sputum smear and culture results.

In summary, patients with CAD and ATS have higher hazards of all-cause and infection-related mortality during the first nine months after TB treatment initiation. Elevated serum inflammation markers (CRP) mediate nearly one-quarter to one-third of this association when adjusted for confounders. However, pre-existing CAD or ATS was not associated with a difference in sputum culture or smear positivity at two months. Statin use was associated with lower all-cause mortality among patients with ASCVD. Randomized controlled trials are required to assess the utility of adjunctive statin therapy on microbiological and clinical outcomes in TB patients with and without ASCVD.

Supplementary Information

Supplementary Information 1. (96KB, doc)
Supplementary Information 2. (182KB, pdf)

Author contributions

V. C., and P.C.K. conceived the study. J.-Y. W. collected the data. V.C. performed the analysis. A.G. and M.G.M. guided in the analysis and the methods. V.C., J.R.C., A.K., S.W., and J.W. drafted the manuscript. A. G., J.-Y. W., and P.C. K. corrected the draft. All authors critically reviewed the manuscript and approved the final version of the article.

Funding

This study was supported by the National Institute of Allergy and Infectious Diseases (NIAID)/ National Institutes of Health (NIH) grants UH3AI122309 and K24AI143447 to P.C.K.; and the Taiwan Centers for Disease Control grant MOHW-105-CDC-C-114-000103 to J.-Y.W.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-021-94590-x.

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