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Revista de investigación clínica

On-line version ISSN 2564-8896Print version ISSN 0034-8376

Rev. invest. clín. vol.74 n.2 Ciudad de México Mar./Apr. 2022  Epub May 02, 2022

https://doi.org/10.24875/ric.21000599 

Original articles

Admission Monocyte/HDL Ratio Predicts Adverse Cardiac Remodeling After St-Elevation Myocardial Infarction

Ferhat Eyyupkoca1  * 

Onur Yildirim1 

Serkan Sivri2 

Mehmet Ali-Felekoglu3 

Bekir Demirtas4 

Mehmet Sait-Altintas5 

Burcu Ugurlu-Ilgin6 

Omer Faruk-Ates7 

1Department of Cardiology, Dr. Nafiz Korez Sincan State Hospital, Ankara, Turkey

2Department of Cardiology, Yildirim Beyazit University Ataturk Training and Research Hospital, Ankara, Turkey

3Department of Cardiology, Ankara Diskapi Training and Research Hospital, Ankara, Turkey

4Department of Cardiology, Ankara Numune Training and Research Hospital, Ankara, Turkey

5Department of Cardiology, Yedikule Chest Diseases and Thoracic Surgery Training and Research Hospital, Istanbul, Turkey

6Department of Cardiology, Ankara Numune Training and Research Hospital, Ankara, Turkey

7Department of Radiology, Yildirim Beyazit University Ataturk Training and Research Hospital, Ankara, Turkey


ABSTRACT

Background:

Inflammation plays a critical role in cardiac remodeling after myocardial infarction (MI). Monocyte to high-density lipoprotein-cholesterol (HDL-C) ratio (MHR) has emerged as a potential indicator of inflammation.

Objectives:

The study aimed to investigate the prognostic role of MHR at the time of hospital admission in late cardiac remodeling and subsequent 1-year mortality in an academic training and research hospital.

Methods:

This prospective multicenter study included 231 patients with acute ST-elevation MI. Left ventricular (LV) functions and volumes were assessed by cardiac magnetic resonance (CMR) imaging at 2 weeks and 6 months post-MI. The definition of adverse cardiac remodeling (AR) was based on the increase of LV end-diastolic volume by ≥ 12% at 6 months post-MI. All patients were followed for survival for 1 year after the second CMR imaging measurements.

Results:

At 6 months post-MI, 20 patients (23.8%) exhibited AR. The median MHR was higher in the AR group compared to the group without AR (2.2 vs. 1.5, p < 0.001). A positive correlation was found between MHR and infarct size in the groups with and without AR. High MHR was an independent predictor of AR (OR: 3.21, p = 0.002). The cut-off value of MHR in predicting AR was found to be >1.6 with 92.7% sensitivity and 70.1% specificity (AUC ± SE: 0.839 ± 0.03, p < 0.001). Mortality risk was 5.62-fold higher in the group with MHR of >1.6 (HR: 5.62, p < 0.001).

Conclusions:

These results indicate that admission MHR is a useful tool to predict patients with AR who are at risk of progression to heart failure and mortality after MI.

Keywords Biomarker; Cardiac remodeling; Monocyte to high-density lipoprotein-cholesterol ratio; Myocardial infarction

INTRODUCTION

Cardiac remodeling after acute myocardial infarction (MI) is related to the balance between the extent of ischemia, inflammation, and oxidant radicals and the levels of defense systems against these pathological conditions1-3. Inflammation is not only a local response but it is also a systemic process that follows the elevation of inflammatory mediators. While extremely elevated inflammation or oxidant radicals are associated with adverse cardiac remodeling (AR), elevated defensive systems (anti-inflammatory and antioxidant balance) are associated with reverse or adaptive cardiac remodeling4,5.

Monocytes, which are the main players of innate immunity, extravasate to inflammatory tissues after the leukocyte recruitment cascade during inflammation6. Lipid-loaded macrophages, which are produced due to the activation of monocytes in the area of inflammation, are of critical importance in the inflammatory response7. Oxidation of high-density lipoprotein-cholesterol (HDL-C) mainly occurs in inflammatory microenvironments. HDL-C plays a role in suppressing the activation of monocytes and the proliferation and differentiation of monocyte progenitor cells8. Thus, accumulation of monocytes and decrease in HDL-C are associated with atherosclerosis and cardiovascular diseases. Recent studies show that the monocyte to HDL-C ratio (MHR), which is an easily calculable measure, may be a new indicator of inflammation9. However, we could not find any studies in the literature exploring the relationship between post-MI cardiac remodeling and MHR. MHR was reported to be an important predictor of the slow-flow/no-reflow phenomenon in MI patients10. The no-reflow phenomenon was a strong predictor of infarct size and early cardiac remodeling11. We assumed that MHR might be an important indicator in cardiac modeling after MI because of the relationship between high monocyte counts and low levels of HDL-C in inflammatory responses. In the present study, we aimed to investigate the prognostic role of MHR at the time of hospital admission in late cardiac remodeling and subsequent 1-year mortality.

METHODS

This study was planned as a multicenter prospective study between June 2015 and June 2020, including Ankara Dr. Nafiz Korez Sincan State Hospital, Ankara Diskapi Training and Research Hospital, Yildirim Beyazit University Atatürk Training and Research Hospital, and Ankara Numune Training and Research Hospital. Assuming an alpha value of 0.05, power of 0.90, and 25% estimated AR rate in line with previous reports12, the estimated sample size was at least 157 patients in total. The study was performed in accordance with the Declaration of Helsinki and approved by the Ankara Yildirim Beyazit University Faculty of Medicine's Non-Drug Clinical Research Ethics Committee on 24 June 2013 under Decision No. 2013/106. Written informed consent was obtained from all patients.

This research received financial support from the Ministry of Health of the Republic of Turkey (Department of Research, Development, and Health Technology Evaluation) through project 2015/SAGEM-2/001.

Study population

A total of 231 patients older than 18 years of age who were admitted to the hospital with ST-elevation MI (STEMI) for the first time ever and who underwent primary percutaneous coronary intervention within 12 hours after the onset of chest pain was evaluated in this study. STEMI was defined according to the third universal definition of MI13 and was managed according to the latest guidelines of the European Society of Cardiology14. Patients with any mechanical complications (ventricular septal rupture, ventricular free wall rupture or cardiac tamponade, and papillary muscle rupture), cardiogenic shock, or need for an intra-aortic balloon pump and those with a history of silent ischemia/infarct or right coronary artery occlusion, with any kind of systemic inflammatory disease or autoimmune disease, with a history of chronic corticosteroid or anti-inflammatory drugs, with pregnancy or delivery within the past 90 days or currently breastfeeding, and with emergency or elective coronary artery bypass graft scheduled after the angiography procedure were excluded from the study.

Clinical, demographic, laboratory, and radiological findings were recorded in patient files during follow-up in a timely manner. After inclusion of patients in the study, follow-up cardiac magnetic resonance (CMR) imaging was performed at baseline (2 weeks) and 6 months after the index event. All patients were followed for 1 year for survival after the 6-month CMR imaging. The Global Registry of Acute Cardiac Events (GRACE) risk score was calculated using the official calculator (www.gracescore.org).

Laboratory parameters

Venous blood samples were taken at first admission and analyzed for complete blood count and lipid and cardiac biomarkers. Collected blood samples were centrifuged at 1500 rpm for 10 minutes to measure the determined parameters. Complete blood count parameters were measured with a Sysmex XN-1000 hematology analyzer (Sysmex Corporation, Kobe, Japan). Hemoglobin was measured photometrically. Biochemical parameters were measured with a 7600-120 model automatic biochemical analyzer (Hitachi High Technologies, Tokyo, Japan). Lipid parameters were determined by the homogenous enzymatic colorimetric method with a Hitachi Modular P800 autoanalyzer (Roche Diagnostics Corp., Indianapolis, IN, USA). The following inflammatory indices were calculated: leukocyte count to HDL-C ratio (WHR), monocyte count to HDL-C ratio (MHR), neutrophil count to HDL-C ratio (NHR), platelet count to lymphocyte count ratio (PLR), and neutrophil count to lymphocyte count ratio (NLR).

CMR imaging

All CMR imaging studies were performed with a 3-T scanner (MAGNETOM Skyra, Siemens Medical Systems, Erlangen, Germany). The imaging protocol included the acquisition of 4- and 2-chamber views and cine short-axis sections from the base to the apex of the heart (slice thickness of 6 mm at 10-mm intervals). The indices of left ventricular (LV) systolic function were assessed using a retrospective electrocardiogram-gated turbo-fast low-angle shot (turbo-FLASH) sequence with the following settings: echo time (TE) 1.42 ms, repetition time (TR) 39 ms, flip angle 57°, voxel size 1.67 × 1.67 × 6 mm. Cardiac function and volumes were measured using syngo.via imaging software (Siemens). LV end-diastolic and end-systolic volumes (LVEDV, LVESV) were calculated with short-axis-based planimetry from the basal to the apical level. Stroke volume was calculated as LVEDV minus LVESV, and LV ejection fraction (LVEF) was calculated as follows: LVEF = [(LVEDV - LVESV)/LVEDV] × 100. The definition of AR was based on an increase of LVEDV by ≥ 12% at 6 months post-MI12,15.

Statistical analysis

The STATA program (StataCorp LLC, College Station, TX, USA) was used for data analysis. Normality testing was performed with the Shapiro–Wilk test. Normal distributions were shown as mean ± standard deviation and non-normal distributions as median (interquartile range [IQR]: 25th-75th percentile). Categorical variables were expressed as numbers and percentages. Student's t-test or the Mann-Whitney U test were used to compare numerical variables between the groups with and without AR. Chi-square, Yate's correction, and Fisher exact chi-square tests were used for comparisons of categorical data. The relationships between numerical variables were evaluated by Pearson and Spearman's correlation analysis. Changes of CMR parameters were evaluated with paired sample t-tests or Wilcoxon test. The difference of these changes between the groups was evaluated by mixed model repeated measures analysis. Multivariable logistic regression analyses (backward method) were conducted to establish any possible independent predictors of AR. The optimal threshold value of MHR in predicting AR was evaluated by Youden index method in ROC curve analysis. Survival plots were analyzed by Kaplan-Meier method. Values of p < 0.05 (*) were considered significant in the statistical analysis.

RESULTS

A total of 231 patients were included in the CMR imaging analysis. The mean age was 53.9 ± 8.7 years and patients were mostly male (88.7%) with a representative risk profile for cardiovascular disease. At 6 months post-MI, 20 patients (23.8%) exhibited AR. The median cardiac troponin I (57 ng/L vs. 46.5 ng/L, p = 0.035), median white blood cell count (11.6 × 109/L vs. 10.4 × 109/L, p = 0.038), mean monocyte count (0.8 ± 0.2 × 109/L vs. 0.7 ± 0.2 × 109/L, p = 0.003), median high-sensitivity C-reactive protein (26.4 mg/L vs. 18.9 mg/L, p = 0.045), median WHR (31.8% vs. 27.8%, p = 0.027), median NHR (20.8% vs. 18.3%, p = 0.034), and median MHR (2.2% vs. 1.5%, p < 0.001) levels were higher in the AR group compared to the group without AR. GRACE scores were also higher in the AR group (Table 1).

Table 1 Demographic and clinical findings 

Variables All population (n = 231) Adverse Cardiac Remodeling p


No (n = 176) Yes (n = 55)
Gender, n (%)

Female 26 (11.3) 22 (12.5) 4 (7.3) 0.338
Male 205 (88.7) 154 (87.5) 51 (92.7)
Age, years 53.9 ± 8.7 54.0 ± 9.2 53.7 ± 7.1 0.846
BMI, kg/m2 26.8 ± 4.1 26.4 ± 4.1 27.8 ± 4.2 0.314
Smoking, n (%) 122 (52.8) 93 (52.8) 29 (52.7) 0.999
Hypertension, n (%) 99 (42.9) 74 (42.0) 25 (45.5) 0.656
Diabetes mellitus, n (%) 53 (22.9) 40 (22.7) 13 (23.6) 0.889
SBP, mm Hg 124 ± 18.1 124.6 ± 17.5 122.5 ± 19.9 0.528
DBP, mm Hg 76.3 ± 12.4 76.5 ± 12 75.7 ± 13.7 0.730
HR, beat per minute 76.6 ± 16.1 75.9 ± 16.9 78.7 ± 13.4 0.272
LVEF, % 46.7 ± 8.9 46.5 ± 8.6 47.6 ± 9.7 0.423
Door-to-balloon time, min 42.7 ± 8.7 42.3 ± 9.7 43.8 ± 5.4 0.459
Symptom-to-balloon time, min 293.8 ± 52.8 298.1 ± 53.1 282.8 ± 52.5 0.361
Grace score 121 (100-144) 120 (99-141) 136 (101-169) 0.033

IRA, n (%)

LAD 151 (65.4) 116 (65.9) 35 (63.6) 0.748
Cx 80 (34.6) 60 (34.1) 20 (36.4)

Pre-PCI TIMI flow

0 152 (65.8) 113 (64.2) 39 (70.9) 0.432
1 23 (10.0) 16 (9.1) 7 (12.7)
2 27 (11.7) 22 (12.5) 5 (9.1)
3 29 (12.6) 25 (14.2) 4 (7.3)
Post-PCI TIMI flow >2, n (%) 222 (96.1) 170 (96.6) 52 (94.5) 0.585
cTn-I, ng/L 46.8 (38.5-59.7) 46.5 (38-59) 57 (45-68.3) 0.035
CK-MB, IU/L 55 (21-75) 53.5 (20-70) 58 (23.5-75) 0.631
Glucose, mg/dL 112.5 (96-146) 112 (96-139) 115 (97-163) 0.393

Pre-PCI TIMI flow

Hemoglobin, g/dL 14.1 ± 1.5 14.1 ± 1.4 14.1 ± 1.7 0.949
WBC, × 109/L 10.8 (8.8-13.5) 10.4 (8.5-12.8) 11.6 (10.1-14.1) 0.038
Neutrophils, × 109/L 7.6 (6.2-9.3) 7.5 (6.1-8.6) 7.6 (6.8-9.4) 0.853
Lymphocytes, × 109/L 2.3 (1.8-3.1) 2.5 (1.8-3.0) 2.4 (1.7-3.1) 0.514
Monocyte, × 109/L 0.7 ± 0.2 0.7 ± 0.2 0.8 ± 0.2 0.003
Platelets, × 109/L 280.4 ± 70.7 275.7 ± 65.8 295.1 ± 83.4 0.119
Total cholesterol, mg/dL 197.6 ± 47.5 195.6 ± 45.1 203.9 ± 54.2 0.262
LDL, mg/dL 136 (110-161) 135 (105-157) 142 (119-172) 0.159
HDL, mg/dL 41.9 ± 9.6 42.9 ± 9.6 38.7 ± 8.9 0.005
Triglycerides, mg/dL 142.5 (101-185) 151.5 (104.5-183) 120 (91-198.5) 0.184
Creatinine, mg/dL 1.0 ± 0.2 1.0 ± 0.2 1.0 ± 0.2 0.127
hs-CRP, mg/L 20 (12.3-28.6) 18.9 (10.7-26.8) 26.4 (20-32) 0.045
WHR, % 28.9 (20.7-35.4) 27.8 (20.0-34.7) 31.8 (26.3-39.5) 0.027
NHR, % 18.8 (13.3-23.9) 18.3 (13.0-22.6) 20.8 (13.4-28.0) 0.034
MHR, % 1.7 (1.2-2.1) 1.5 (1.1-2.0) 2.2 (1.7-2.9) < 0.001
NLR 3.3 (2.5-4.2) 3.3 (2.6-4.1) 3.5 (2.3-4.4) 0.613
PLR 114 (90-153.0) 111.1 (87.4-154.2) 115.5 (97.0-152.3) 0.561

Discharge therapy

ACE/ARB 225 (97.4) 171 (97.2) 54 (98.2) 0.999
Beta blockers 222 (96.1) 169 (96.0) 53 (96.4) 0.999
Statins, n (%) 227 (98.3) 173 (98.3) 54 (98.2) 0.999

Data are mean ± standard deviation, median (IQR), or number (%). ACE: angiotensin-converting enzyme; ARB: angiotensin II receptor blocker; BMI: body mass index; Cx: circumflex artery; cTn-I: cardiac troponin I; DBP: diastolic blood pressure; HDL: high-density lipoprotein; HR: heart rate; hs-CRP: high-sensitivity C-reactive protein; IRA: infarct-related artery; LAD: left anterior descending artery; LDL: low-density lipoprotein; MHR: monocyte to HDL ratio; NHR: neutrophils to HDL ratio; NLR: neutrophils to lymphocytes ratio; PCI: percutaneous coronary intervention; PLR: platelets to lymphocytes ratio; SBP: systolic blood pressure; TIMI: thrombolysis in myocardial infarction; WBC: white blood counts;

WHR: WBC to HDL ratio.

At 2 weeks post-MI, median infarct size was larger in the AR group compared to the group without AR (20% vs. 15% of LV, p < 0.001), with no differences for other baseline CMR imaging parameters. At 6 months post-MI, mean LVEF was lower in the AR group compared to the group without AR (45.6 ± 10.2% vs. 51.7 ± 9.2%, p < 0.001), while the median LVEDV (175 mL vs. 125 mL, p < 0.001), median LVESV (120 mL vs. 72 mL, p = 0.003), and median infarct size (18% vs. 13% of LV, p < 0.001) were higher in AR group (Table 2).

Table 2 Results of cardiac magnetic resonance imaging 

Variables 2 weeks post-MI 6 months post-MI Δp



Adverse Cardiac Remodeling p Adverse Cardiac Remodeling p
No Yes No No
(n = 176) (n = 55) (n = 176) (n = 55)
LVEF, % 48.3 ± 9.4 49.3 ± 10.1 0.501 51.7 ± 9.2 45.6 ± 10.2 < 0.001 < 0.001
LVEDV, mL 145 (127-165) 158 (129.7-181) 0.247 125 (119-150) 175 (140-214) < 0.001 < 0.001
LVESV, mL 73 (57-94) 78 (58-105) 0.508 60 (51-80) 87 (65.2-117) < 0.001 < 0.001
Stroke volume, mL 72.4 ± 17.3 74.4 ± 15.7 0.445 75.9 ± 16.6 73.5 ± 16.4 0.349 0.109
CO, mL/min 4.5 ± 1.1 4.7 ± 1.0 0.231 4.8 ± 1.1 4.6 ± 1.2 0.251 0.144
CI, mL/min/m2 2.5 ± 0.6 2.6 ± 0.5 0.264 2.7 ± 0.6 2.6 ± 0.5 0.264 0.092
Infarct size, % of LV 15 (12-20) 20 (13-26) < 0.001 13 (10-18) 18 (10-23) < 0.001 0.467

Data are mean ± standard deviation or median (IQR). CI: cardiac index; CO: cardiac output; LVEF: left ventricular ejection fraction;

LVEDV: left ventricular end-diastolic volume; LVESV: left ventricular end-systolic volume.

A positive correlation was found between MHR and infarct size in groups with and without AR (Fig. 1). MHR (OR: 3.21, p = 0.002) and infarct size (OR: 1.09, p = 0.001) were determined as independent predictors of AR. Accordingly, a 1% increase in MHR increased the risk of AR by 3.21-fold (Table 3). MHR showed superior diagnostic performance compared to other indices in predicting AR and the threshold value of MHR was found to be >1.6% with 92.7% sensitivity and 70.1% specificity (AUC ± SE: 0.84 ± 0.03, 95% CI: 0.78-0.88, PPV: 46.8%, NPV: 96.7%, p < 0.001) (Fig. 2A). Mortality risk was 5.62-fold higher in patients with MHR of >1.6 (HR: 5.62, 95% CI: 2.01-15.70, log-rank p < 0.001) (Fig. 2B).

Figure 1 The relationship between MHR and the size of infarct. 

Table 3 Independent predictors of adverse remodeling 

Variables Univariable regression Multivariable regression
OR 95% CI p OR 95% CI p
Infarct size 1.08 1.03-1.13 < 0.001 1.09 1.02–1.15 0.001
Grace score 1.02 1.01-1.04 0.037
cTn-I 1.10 1.01-1.20 0.030
WBC 1.03 1.01-1.05 0.037
Monocyte 17.7 4.43-70.92 0.005
HDL 0.95 0.92-0.98 0.007
WHR 1.02 1.01-1.04 0.031
NHR 1.05 1.01-1.09 0.036
MHR 3.01 1.95-4.65 < 0.001 3.21 1.51-84 0.002
hs-CRP 1.05 1.01-1.10 0.024
Nagelkerke R2 = 0.371; p < 0.001

Figure 2 Diagnostic performance of MHR in predicting AR (A) and mortality risk (B). MHR: monocyte to HDL ratio; NHR: neutrophils to HDL ratio; NLR: neutrophils to lymphocytes ratio; PLR: platelets to lymphocytes ratio; WBCs: white blood cells; WHR, WBC to HDL ratio. 

DISCUSSION

To the best of our knowledge, this is the first study to investigate the role of MHR in cardiac remodeling after MI. Admission MHR values were higher among patients who developed AR. A positive correlation was detected between MHR and infarct size in patients with and without AR. It was also determined that MHR is an independent predictor of AR and has high diagnostic performance in predicting AR.

The recovery process after MI includes a complex array of molecular, cellular, and physiological responses that directly affect the pathological and structural changes in the heart and thus the prognosis. A multistage recovery process initiated by the immune system follows acute MI16. Inflammation is of critical importance in cardiac healing during this recovery process17. The increased levels of leukocytes, neutrophils, and monocytes and low level of anti-inflammatory HDL-C are important indicators of inflammation. Furthermore, HDL-C can inhibit the activation and migration of leukocytes18. Following MI, increased leukocyte migration from the spleen to the heart tissue was associated with an increase in specialized pro-resolving lipid mediator production in the myocardium19. Neutrophils, the first line of defense against inflammation, gather in the ischemic zone to scavenge dead cell debris following MI. The release of reactive oxygen species, granular components, and pro-inflammatory mediators by neutrophils may contribute to myocardial injury20. It has been suggested that the inhibition of monocytes that are recruited in the infarcted myocardium may improve ventricular function21. Monocytes are activated by binding to adhesion molecules expressed during the inflammation process22,23. Activated monocytes transform into macrophages, which engulf oxidized LDL-C molecules and turn into foam cells. These foam cells facilitate the release of chemokines, cytokines, and growth factors24. HDL-C reduces the activation and adhesion of monocytes, regulates the release of endothelial adhesion molecules, reverses the effects of oxidized LDL-C, and causes vasodilation via the release of nitric oxide8,25. This series of events plays an important role in determining the macroscopic structure and geometry of the scarring and has significant effects on cardiac remodeling16. Therefore, an index generated by leukocytes and their subtypes and HDL-C may be a more important indicator of cardiac healing after MI.

High values of WHR, NHR, and MHR at admission have been demonstrated to be independent inflammatory markers of thrombus burden, prognosis, and cardiovascular events26-29. The prognostic significance of MHR in terms of mortality is consistent with current findings. However, we could not find any study evaluating the relationships between WHR, NHR, and MHR and AR. Current findings indicate that MHR has better diagnostic performance than WHR and NHR in predicting AR. Suzuki et al.30 suggested that the amount of CD14++CD16+ cells in circulation is higher in patients with atrial fibrillation, and this can be associated with left atrial remodeling. Canpolat et al.31 suggested that MHR may be an important marker for left atrial remodeling. Values of admission MHR and baseline infarct size were higher in patients with AR, reflecting higher inflammation in the acute phase in infarct areas, but infarct size showed no characteristic healing differences between the groups with and without AR. Nevertheless, there was a positive correlation between infarct size and MHR in both groups and MHR predicted AR regardless of infarct size. These findings might be related to an extremely increased inflammatory response in patients with AR. This is consistent with higher levels of C-reactive protein in patients with AR. In the event of an extremely increased inflammatory response, besides the above mechanisms, higher monocyte counts might negatively affect cardiac recovery22. HDL-C molecules can also prevent the activation and propagation of monocytes while inhibiting activated monocytes32.

Blood parameters are the most commonly available laboratory data during the early period of hospital admission, and they are present universally for the first hour of admission14. A biomarker that can be easily evaluated in clinical practice would be of critical importance in the classification of high-risk patients, such as those with AR, which is an important predictor of heart failure and poor prognosis. The threshold value of MHR had high diagnostic performance in detecting patients who developed AR, and it was also determined to be an indicator of high risk in terms of mortality. On the other hand, the threshold value of MHR predicting AR is also consistent with the threshold values of MHR predicting mortality or major adverse cardiac events as shown in a previous meta-analysis33. Therefore, MHR, which is an index that does not increase the costs of patient care and is easy to evaluate in different hospitals that treat MI patients, may be a useful biomarker in cardiac remodeling and mortality risk stratification after MI.

One of the important limitations of this study is that MHR was calculated only at the time of admission. MHR levels after the acute phase of MI were not considered. Another important limitation is that the cytokines that play a role in both AR and inflammatory response were not analyzed. Finally, subtypes of monocytes were not evaluated. Doing so may provide a better understanding of the role of monocytes in the pathophysiology of cardiac remodeling and reveal the prognostic value of MHR levels more clearly.

In conclusion, high admission MHR is an independent predictor of AR at the 6-month follow-up in STEMI patients who have undergone successful primary percutaneous coronary intervention. MHR offers high diagnostic performance for the classification of AR after MI from a prognostic point of view.

ACKNOWLEDGMENTS

This study received financial support from the Ministry of Health of the Republic of Turkey (Department of Research, Development, and Health Technology Evaluation) through project 2015/SAGEM-2/001.

REFERENCES

1. Neri M, Fineschi V, Di Paolo M, Pomara C, Riezzo I, Turillazzi E, et al. Cardiac oxidative stress and inflammatory cytokines response after myocardial infarction. Curr Vasc Pharmacol. 2015;13:26-36. [ Links ]

2. Frangogiannis NG. Inflammation in cardiac injury, repair and regeneration. Curr Opin Cardiol. 2015;30:240-5. [ Links ]

3. Prabhu SD, Frangogiannis NG. The biological basis for cardiac repair after myocardial infarction:From inflammation to fibrosis. Circ Res. 2016;119:91-112. [ Links ]

4. Kain V, Prabhu SD, Halade GV. Inflammation revisited:inflammation versus resolution of inflammation following myocardial infarction. Basic Res Cardiol. 2014;109:444. [ Links ]

5. Bhatt AS, Ambrosy AP, Velazquez EJ. Adverse remodeling and reverse remodeling after myocardial infarction. Curr Cardiol Rep. 2017;19:71. [ Links ]

6. Kratofil RM, Kubes P, Deniset JF. Monocyte conversion during inflammation and injury. Arterioscler Thromb Vasc Biol. 2017;37:35-42. [ Links ]

7. Tani S, Matsumoto M, Anazawa T, Kawamata H, Furuya S, Takahashi H, et al. Development of a model for prediction of coronary atherosclerotic regression:evaluation of high-density lipoprotein cholesterol level and peripheral blood monocyte count. Heart Vessels. 2012;27:143-50. [ Links ]

8. Nazir S, Jankowski V, Bender G, Zewinger S, Rye KA, van der Vorst EP. Interaction between high-density lipoproteins and inflammation:Function matters more than concentration!Adv Drug Deliv Rev. 2020;159:94-119. [ Links ]

9. Ganjali S, Gotto AM, Ruscica M, Atkin SL, Butler AE, Banach M, et al. Monocyte-to-HDL-cholesterol ratio as a prognostic marker in cardiovascular diseases. J Cell Physiol. 2018;233:9237-46. [ Links ]

10. Kalyoncuoglu M, Biter HI, Ozturk S, Belen E, Can MM. Predictive accuracy of lymphocyte-to-monocyte ratio and monocyte-to-high-density-lipoprotein-cholesterol ratio in determining the slow flow/no-reflow phenomenon in patients with non-ST-elevated myocardial infarction. Coron Artery Dis. 2020;31:518-26. [ Links ]

11. Berezin AE, Berezin AA. Adverse cardiac remodelling after acute myocardial infarction:old and new biomarkers. Dis Markers. 2020;2020:1215802. [ Links ]

12. Bulluck H, Carberry J, Carrick D, McEntegart M, Petrie MC, Eteiba H, et al. Redefining adverse and reverse left ventricular remodeling by cardiovascular magnetic resonance following ST-segment-elevation myocardial infarction and their implications on long-term prognosis. Circ Cardiovasc Imaging. 2020;13:e009937. [ Links ]

13. Thygesen K, Alpert JS, Jaffe AS, Simoons ML, Chaitman BR, White HD, et al. Third universal definition of myocardial infarction. J Am Coll Cardiol. 2012;60:1581-98. [ Links ]

14. Ibanez B, James S, Agewall S, Antunes MJ, Bucciarelli-Ducci C, Bueno H, et al. 2017 ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation:The Task Force for the management of acute myocardial infarction in patients presenting with ST-segment elevation of the European Society of Cardiology (ESC). Eur Heart J. 2018;39:119-77. [ Links ]

15. Bulluck H, Go YY, Crimi G, Ludman AJ, Rosmini S, Abdel-Gadir A, et al. Defining left ventricular remodeling following acute ST-segment elevation myocardial infarction using cardiovascular magnetic resonance. J Cardiovasc Magn Reson. 2017;19:26. [ Links ]

16. Naresh NK, Xu Y, Klibanov AL, Vandsburger MH, Meyer CH, Leor J, et al. Monocyte and/or macrophage infiltration of heart after myocardial infarction:MR imaging by using T1-shortening liposomes. Radiology. 2012;264:428-35. [ Links ]

17. Westman PC, Lipinski MJ, Luger D, Waksman R, Bonow RO, Wu E, et al. Inflammation as a driver of adverse left ventricular remodeling after acute myocardial infarction. J Am Coll Cardiol. 2016;67:2050-60. [ Links ]

18. Spirig R, Schaub A, Kropf A, Miescher S, Spycher MO, Rieben R. Reconstituted high-density lipoprotein modulates activation of human leukocytes. PLoS One. 2013;8:e71235. [ Links ]

19. Halade GV, Norris PC, Kain V, Serhan CN, Ingle KA. Splenic leukocytes define the resolution of inflammation in heart failure. Sci Signal. 2018;11. [ Links ]

20. Kologrivova I, Shtatolkina M, Suslova T, Ryabov V. Cells of the immune system in cardiac remodeling:Main players in resolution of inflammation and repair after myocardial infarction. Front Immunol. 2021;12:664457. [ Links ]

21. Dutta P, Nahrendorf M. Monocytes in myocardial infarction. Arterioscler Thromb Vasc Biol. 2015;35:1066-70. [ Links ]

22. Peet C, Ivetic A, Bromage DI, Shah AM. Cardiac monocytes and macrophages after myocardial infarction. Cardiovasc Res. 2020;116:1101-12. [ Links ]

23. Weirather J, Hofmann UD, Beyersdorf N, Ramos GC, Vogel B, Frey A, et al. Foxp3+CD4+T cells improve healing after myocardial infarction by modulating monocyte/macrophage differentiation. Circ Res. 2014;115:55-67. [ Links ]

24. Ghattas A, Griffiths HR, Devitt A, Lip GY, Shantsila E. Monocytes in coronary artery disease and atherosclerosis:where are we now?J Am Coll Cardiol. 2013;62:1541-51. [ Links ]

25. Cameron SJ, Morrell CN, Bao C, Swaim AF, Rodriguez A, Lowenstein CJ. A novel anti-inflammatory effect for high density lipoprotein. PLoS One. 2015;10:e0144372. [ Links ]

26. Wu TT, Zheng YY, Chen Y, Yu ZX, Ma YT, Xie X. Monocyte to high-density lipoprotein cholesterol ratio as long-term prognostic marker in patients with coronary artery disease undergoing percutaneous coronary intervention. Lipids Health Dis. 2019;18:180. [ Links ]

27. Zhang DP, Baituola G, Wu TT, Chen Y, Hou XG, Yang Y, et al. An elevated monocyte-to-high-density lipoprotein-cholesterol ratio is associated with mortality in patients with coronary artery disease who have undergone PCI. Biosci Rep. 2020;40. [ Links ]

28. Wu TT, Zheng YY, Xiu WJ, Wang WR, Xun YL, Ma YY, et al. White blood cell counts to high-density lipoprotein cholesterol ratio, as a novel predictor of long-term adverse outcomes in patients after percutaneous coronary intervention:A retrospective cohort study. Front Cardiovasc Med. 2021;8:616896. [ Links ]

29. Huang JB, Chen YS, Ji HY, Xie WM, Jiang J, Ran LS, et al. Neutrophil to high-density lipoprotein ratio has a superior prognostic value in elderly patients with acute myocardial infarction:a comparison study. Lipids Health Dis. 2020;19:59. [ Links ]

30. Suzuki A, Fukuzawa K, Yamashita T, Yoshida A, Sasaki N, Emoto T, et al. Circulating intermediate CD14++CD16+monocytes are increased in patients with atrial fibrillation and reflect the functional remodelling of the left atrium. Europace. 2017;19:40-7. [ Links ]

31. Canpolat U, Aytemir K, Yorgun H, Sahiner L, Kaya EB, Cay S, et al. The role of preprocedural monocyte-to-high-density lipoprotein ratio in prediction of atrial fibrillation recurrence after cryoballoon-based catheter ablation. Europace. 2015;17:1807-15. [ Links ]

32. Kontush A. HDL-mediated mechanisms of protection in cardiovascular disease. Cardiovasc Res. 2014;103:341-9. [ Links ]

33. Villanueva DL, Tiongson MD, Ramos JD, Llanes EJ. Monocyte to high-density lipoprotein ratio (MHR) as a predictor of mortality and major adverse cardiovascular events (MACE) among ST elevation myocardial infarction (STEMI) patients undergoing primary percutaneous coronary intervention:a meta-analysis. Lipids Health Dis. 2020;19:55. [ Links ]

Received: December 03, 2021; Accepted: January 27, 2022

* Corresponding author: Ferhat Eyyupkoca E-mail: eyupkocaferhat@gmail.com

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