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Original article Postoperative effects of bariatric surgery on heart rate recovery and heart rate variability
Han Su Park1orcid, Kyungwon Seo2orcid, Hyeon Soo Kim1orcid, Sung il Im1orcid, Bong Joon Kim1orcid, Bu Kyung Kim3orcid, Jung Ho Heo1orcid
Kosin Medical Journal 2022;37(2):119-126.
DOI: https://doi.org/10.7180/kmj.22.020
Published online: June 27, 2022
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1Division of Cardiology, Department of Internal Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Korea

2Division of General Surgery, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Korea

3Division of Endocrinology, Department of Internal Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Korea

Corresponding Author: Jung Ho Heo, MD, PhD Division of Cardiology, Department of Internal Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, 262 Gamcheon-ro, Seo-gu, Busan 49267, Korea Tel: +82-51-990-6105 Fax: +82-51-241-5458 E-mail: duggymdc@gmail.com
• Received: March 2, 2022   • Revised: May 3, 2022   • Accepted: May 4, 2022

Copyright © 2022 Kosin University College of Medicine.

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

  • Background
    Several studies have reported associations between obesity and autonomic dysfunction. However, little research has investigated the effect of bariatric surgery on heart rate recovery (HRR) in the treadmill test and heart rate variability (HRV) in 24-hour Holter monitoring. We investigated the effects of bariatric surgery on HRR and HRV, which are parameters related to autonomic dysfunction.
  • Methods
    We retrospectively investigated patients who underwent bariatric surgery in 2019. The treadmill test, 24-hour Holter monitoring, and echocardiography were performed before and 6 months after surgery. We compared the changes in HRR in the treadmill test and HRV parameters such as the time domain and spectral domain in 24-hour Holter monitoring before and after surgery.
  • Results
    Of the 40 patients who underwent bariatric surgery, 25 patients had the treadmill test or 24-hour Holter monitoring both before and after surgery. Body weight and body mass index significantly decreased after surgery (112.86±24.37 kg vs. 89.10±20.26 kg, p<0.001; 39.22±5.69 kg/m2 vs. 31.00±5.09 kg/m2, p<0.001, respectively). HRR significantly increased (n=23; 43.00±20.97 beats/min vs. 64.29±18.49 beats/min, p=0.001). The time domain of HRV parameters increased (n=21; standard deviation of the N-N interval 123.57±28.05 ms vs. 152.57±39.49 ms, p=0.002 and mean N-N interval 791.57±88.84 ms vs. 869.05±126.31 ms, p=0.002).
  • Conclusions
    Our data showed that HRR after exercise and HRV during 24-hour Holter monitoring improved after weight reduction with bariatric surgery through improved cardiac autonomic function.
Obesity is a state in which body weight is increased due to excessive accumulation of fat, defined by a body mass index (BMI) of over 30 kg/m2. The World Health Organization estimated that 13% of the population worldwide was obese in 2016 [1]. An epidemiological study on obesity conducted in the United States reported that obesity prevalence has been gradually increasing over time [2]. Obesity is an important factor of metabolic syndrome and independent risk for cardiovascular diseases and mortality [1,3]. Of the physiologic changes occurring in obesity, autonomic dysfunction is notable. Generally, the autonomic function in obese individuals is disturbed. The main mechanisms influencing various factors, such as insulin resistance, are reduced vagal tone and overactivated sympathetic nervous function [1,4,5]. Impaired autonomic function is associated with all-cause and cardiovascular mortality [6]. One study reported that cardiac autonomic dysfunction could be responsible for the 40 times higher rate of sudden cardiac death in obese people as compared to those with normal body weight [4]. Previous studies reported improvement of the autonomic function after weight loss in obese people [7-10].
Bariatric surgery is very effective intervention for weight loss that improves metabolic complications. Long-term follow-up data showed effective remission and prevention of type 2 diabetes mellitus (DM), dyslipidemia and hypertension after Roux-en-Y gastric bypass surgery [11]. After gastric bypass surgery, both disease-related mortality and risk of cardiovascular events are reduced significantly [12,13]. However, the effect on autonomic function after bariatric surgery is inconclusive.
The cardiac autonomic function can be assessed based on the heart rate recovery (HRR) in the exercise test and the heart rate variability (HRV) in 24-hour Holter monitoring. HRR is commonly defined heart rate decrease after cessation of exercise, as a predictor of coronary arterial disease and cardiovascular mortality [14]. HRV is regulated by the interaction between sympathetic and parasympathetic activities, and decreased HRV is associated with cardiovascular events [15,16].
We investigated the effects of bariatric surgery on the autonomic function and the factors influencing the improvement in autonomic function.
Ethical statements: This study was approved by the Ethics Committee of Kosin University Gospel Hospital (No. 2021-05-018). The need for written informed consent from the participants was waived because of the retrospective nature of this study.
1. Study design and population
This was a retrospective, observational, single-cohort study. We reviewed the medical records of patients who underwent bariatric surgery in 2019 at Kosin University Gospel Hospital. We excluded patients who did not undergo baseline or follow-up treadmill test and 24-hour Holter monitoring. We compared the HRR 1 minute after the treadmill test and the HRR parameters such as time domain and spectral domain on 24-hour Holter monitoring at baseline and 6 months after surgery. We also compared the body weight, BMI, glycated hemoglobin (HbA1c), fasting insulin, C-peptide, lipid profile, and echocardiographic parameters. The patients were divided according to the type of surgical procedure which is one of the factors for autonomic function.
Hypertension was defined as systolic blood pressure (BP) >140 mmHg or diastolic BP >90 mmHg or previous diagnosis. DM was defined when the patient had fasting plasma glucose level >126 mg/dL, HbA1c level >6.5%, or was treated for DM. Dyslipidemia was considered if the patient was being treated with lipid-lowering drugs. Coronary arterial disease was defined as luminal stenosis of coronary artery over 50% on coronary angiography or computed tomographic coronary angiography or a history of previous coronary artery bypass graft or percutaneous coronary angioplasty. Chronic kidney disease was defined as estimated glomerular filtration rate <60 mL/min/1.73 m2 in the baseline laboratory test. Obstructive sleep apnea was confirmed using nocturnal polysomnography.
2. Exercise test
The exercise test was a treadmill test that was performed according to the Bruce protocol using GE CASE version 6.51 (GE Healthcare, Boston, MA, USA) before and after surgery. Participants were encouraged to exercise up to 80% of their age-predicted maximal heart rate (HR) and at stage III of the Bruce protocol. The BP and HR were recorded during the last 30 seconds of each stage immediately after the exercise and at 1, 2, and 5 minutes of recovery. HRR was defined as the difference between the maximal HR during exercise and the HR at 1 minute of recovery. S-T segment abnormality is defined as an upsloping depression ≥1.5 mm or horizontal or down-sloping depression ≥1 mm [14].
3. 24-Hour Holter monitoring
The patients were subjected to 24-hour Holter monitoring before and after surgery. The three-channel 24-hour register was obtained from seven electrodes on the thoracic surface. The electrodes were connected to a Seer Light recorder (General Electric, Milwaukee, WI, USA). While the parasites were cleaned semi-manually during the analysis, the time domain parameters, such as standard deviation of the N-N interval (SDNN), standard deviation of sequential 5-minute N-N interval means (SDANN), mean number of normal sinus R mean NN percentage of successive normal sinus RR interval >50 ms (pNN50), and frequency domain parameters, such as very low frequency, low frequency, high frequency, and low to high frequency ratio, were recorded automatically.
4. Echocardiography
Standard two-dimensional echocardiography was performed for all subjects using a 3.5-MHz transducer. The examiners were blinded to the information of the subjects. The echocardiographic parameters measured included the left ventricle (LV) cavity diameter, LV end-diastolic volume, and LV end-systolic volume, according to the criteria of the American Society of Echocardiography. The LV ejection fraction was measured using the Simpson’s method. The pulse-wave Doppler imaging of the trans-mitral LV inflow was performed in the apical four-chamber view, with the sample volume placed at the level of the mitral valve tips. Doppler variables were analyzed during three consecutive beats. The following measurements of the global LV diastolic function were also recorded: peak early (E) and late (A) diastolic mitral flow velocity, E/A ratio, and early (E′) diastolic mitral annular velocity.
5. Statistical analysis
The data were analyzed using the Statistical Product and Service Solutions version 25.0 for Windows (IBM Corp., Armonk, NY, USA). All continuous values are reported as means±standard deviations. Normally distributed variables were compared using Student t-test. If the data were non-normally distributed, a Wilcoxon signed-rank test was used.
Of the 40 subjects, 25 were enrolled in the final analysis. The mean age of the subjects was 37.4 years. The male was 14 (56%). Moreover, 14 subjects had DM (56%) and mean duration was 5.1 years (Table 1). Laparoscopic sleeve gastrectomy was performed in 14 patients (56%), laparoscopic Roux-en-Y gastric bypass surgery in 10 (40%), and gastric band ligation in one (4%) (Table 1).
Compared to the baseline, the postoperative body weight values reduced significantly (112.86±24.37 kg vs. 89.10±20.26 kg, p<0.001), and the BMI decreased according to the weight loss (39.22±5.69 kg/m2 vs. 31.00±5.09 kg/m2, p<0.001). The HbA1c, fasting blood sugar, fasting insulin, and C-peptide levels reduced significantly after surgery, as well as the Homeostatic Model Assessment for Insulin Resistance score that assesses insulin resistance. In the lipid profile, the triglyceride level and high-density lipoprotein cholesterol level were improved significantly (Table 2).
The echocardiographic variables are presented in Table 3. There were no significant differences in the LV end-diastolic diameter, LV end-systolic diameter, LV end-diastolic volume, LV end-systolic volume, end-diastolic interventricular septal thickness, and end-diastolic posterior LV wall thickness values after surgery. Moreover, no changes were noted in the Doppler parameters of E velocity, A velocity, E/A ratio, E’, and E/E’.
1. Exercise test
Of the 25 patients, 23 underwent the exercise test before and after the surgery. No significant ST-T segment changes were observed. The total exercise time and metabolic equivalents improved significantly after surgery, whereas the baseline HR decreased and peak HR increased significantly. The HRR after 1 minute was significantly increased from the baseline (43.00±20.97 beats/min vs. 64.29±18.49 beats/min, p=0.001) (Table 4).
2. 24-Hour Holter monitoring
Of the 25 patients, 21 patients were subjected to 24-hour Holter monitoring before and after surgery. Although maximal HR was not significantly different before and after surgery, the average HR and minimal HR showed a significant reduction after surgery. Of the time domain parameters, the mean NN, SDNN, and SDANN significantly increased after surgery. However, the frequency domain parameters like very low frequency, low frequency, high frequency, and low to high frequency ratio, did not differ statistically (Table 4).
3. Types of bariatric surgery
In laparoscopic sleeve gastrectomy cases, the HRR in the exercise test and all parameters of the time domain and frequency domain in the 24-hour Holter monitoring showed significant differences. Although SDNN, SDANN, and mean NN almost showed a statistical difference (p=0.008, p=0.006, and p=0.015, respectively), the HRR and other HRV parameters had no significant difference in laparoscopic Roux-en-Y gastric bypass surgery cases (Table 5).
The major results of this report were increased HRR and exercise capacity; increased HRV parameters of time domain including SDNN, SDANN, and mean NN; and reduced baseline HR on exercise test and mean HR on 24-hour Holter monitoring in patients after bariatric surgery. The metabolic parameters of DM and dyslipidemia also improved.
Previous studies have reported an association between autonomic function and weight reduction [7-9,17]. Brinkworth et al. [10] showed that the HRR improved after weight loss. Similarly, Wasmund et al. [18] reported improvement in the HRR 2 years after gastric bypass surgery, and Nault et al. [19] reported an increase in HRV on 24-hour Holter monitoring following weight loss after biliopancreatic diversion and duodenal switch surgery. Maser et al. [20] reported favorable effects on the cardiovascular autonomic function 12 months after surgery. However, some studies reported unfavorable results after bariatric surgery [21-23]. Zhang et al. [22] reported that approximately 4.2% of patients experienced orthostatic intolerance within 5 years of bariatric surgery, and 16.5% of them had severe symptoms that needed treatment with vasopressor agents. Our results showed improvement of the autonomic function, and no orthostatic intolerance was reported in the participants after bariatric surgery.
The mechanisms underlying the improvement of autonomic function are complex and undefined. A prospective study with type 1 DM patients showed that BMI is an independent predictor of autonomic dysfunction as well as poor glycemic control [15]. Another recent study reported that the metabolic benefits after bariatric surgery are related to weight loss itself in type 2 DM patients [24]. Some studies suggest that the improvement of autonomic function is associated with weight reduction after bariatric surgery [18,20,25]. A previous study reported that the HRV improved after bariatric surgery, and this was associated with adipose tissue and adipocyte secretors that are affected by weight loss [26]. On the other hand, Perugini et al. [27] showed that the HRV improved after laparoscopic Roux-en-Y gastric bypass surgery, which correlates with insulin resistance but not with the degree of obesity. In this study, we could not determine a correlation between the autonomic function parameters and the independent factors such as weight reduction or insulin resistance.
Autonomic function is also influenced by the surgical technique [25,28,29]. A recent meta-analysis showed gastric sleeve gastrectomy is more effective on the parasympathetic nervous function due to preserving the vagal trunk of the stomach’s lesser curvature [30]. other prospective study reported that both sleeve gastrectomy and gastric bypass surgery are effective in weight reduction, remission of obesity-associated comorbidities, and improvement of quality of life but less nutritional deficiency in sleeve gastrectomy [28]. In our data, only sleeve gastrectomy group showed significant increase of HRV and HRR parameters. however, previous multiple studies reported improvement of autonomic function with gastric bypass surgery. this study is inconclusive because of small sample size and uncontrolled other factors such as diabetes (35.71% in sleeve gastrectomy vs. 90% in gastric bypass).
HRR and HRV are one of the noninvasive methods of autonomic function and reflect balance of sympathetic activities and parasympathetic activities. Previous studies reported that the risk of coronary arterial disease, death from myocardial infarction, cardiovascular mortality was increased as reduced HRR and increased resting HR [31,32]. The ARIC study showed decreased HRV parameters were important risk factor of coronary heart disease [33]. The reduction of HRV on 24-hour Holter monitoring indicates the risk of increased arrhythmia after myocardial infarction and long-term cardiac events [34,35]. So, reduction of HRR and HRV parameters are associated with cardiac autonomic dysfunction and risk of cardiovascular events. Postoperative increase of the HRR and HRV suggests improvement of autonomic function and a reduction in the cardiovascular mortality risk. It supports the findings of a prior long-term study on the mortality benefits after bariatric surgery, especially disease-related death including cardiovascular death [12].
The limitations of this study include the single-center design, small sample size, and relatively short follow-up duration. Other confounding factors, such as obstructive sleep apnea, were not well controlled. Adipocyte secretors and other neurohormones such as adiponectin and leptin were not considered in this study. Additional case-control studies with further long-term period data involving mortality and cardiovascular events are warranted.
In conclusion, our results showed that the HRR on exercise test and HRV on 24-hour Holter monitoring improved after bariatric surgery. This suggests that the improvement in the autonomic function with weight reduction after bariatric surgery could be one of the major factors in reduction of long-term cardiovascular mortality.

Conflicts of interest

Sung Il Im is an editorial board member of the journal but was not involved in the peer reviewer selection, evaluation, or decision process of this article. No other potential conflicts of interest relevant to this article were reported.

Funding

None.

Author contributions

Conceptualization: HSP, JHH. Data curation: HSP, JHH. Formal analysis: HSP. Investigation: HSP, JHH. Methodology: HSP, BKK, JHH. Project administration: HSP, BKK, JHH. Resources: HSP. Software: HSP. Supervision: KWS, HSK, SII, BJK, BKK, JHH. Validation: KWS, BKK, JHH. Visualization: HSP. Writing - original draft: HSP. Writing - review & editing: KWS, HSK, SII, BJK, BKK, JHH. Approval of final manuscript: all authors.

Table 1.
Baseline characteristics
Characteristics Value (n=25)
Age (yr) 37.40±10.49
Male sex 14 (56.0)
Hypertension 15 (60.0)
Diabetes mellitusa) 14 (56.0)
Dyslipidemia 11 (44.0)
Chronic kidney disease 1 (4.0)
Congestive heart failure 0
Coronary arterial disease 3 (12.5)
Fatty liver 13 (52.0)
Stroke 1 (4.0)
Sleep apnea 12 (48.0)
Laparoscopic sleeve gastrectomy 15 (60.0)
Laparoscopic Roux-en-Y gastric bypass 10 (40.0)

Values are represented as mean±standard deviation or number (%).

a) Mean duration, 5.1 years.

Table 2.
Changes in metabolic parameters
Variable Mean±SD
p-value
Before surgery After surgery (6 mo)
Weight (kg) 112.86±24.37 89.10±20.26 <0.001
Body mass index (kg/m2) 39.22±5.69 31.00±5.09 <0.001
HbA1c (%) 7.14±1.93 5.64±0.71 <0.001
Insulin, fasting (mIU/L) 32.13±33.57 7.41±4.06 <0.001
C-peptide, fasting (ng/mL) 2.64±1.32 1.90±1.86 <0.001
Fasting blood sugar (mg/dL) 127.50±56.83 89.16±14.16 <0.001
HOMA-IR 9.26±8.61 1.63±0.96 <0.001
Triglycerides (mg/dL) 190.41±134.68 110.76±63.09 0.002
Total cholesterol (mg/dL) 174.75±51.04 168.80±42.55 0.475
High-density lipoprotein (mg/dL) 45.31±12.74 49.52±11.99 0.025
Low-density lipoprotein (mg/dL) 111.08±48.01 104.96±36.87 0.357

SD, standard deviation; HbA1c, glycated hemoglobin; HOMA-IR, Homeostatic Model Assessment for Insulin Resistance.

Table 3.
Changes in echocardiographic parameters
Variable Mean±SD
p-value
Before surgery After surgery (6 mo)
LVEF (%) 64.97±4.17 61.19±4.08 0.681
LVEDD (mm) 50.60±4.39 50.22±3.59 0.823
LVESD (mm) 32.33±3.02 31.20±5.50 0.601
LVEDV (mL) 106.70±37.24 99.12±32.48 0.455
LVESV (mL) 37.69±13.60 36.02±11.54 0.823
IVSTd (mm) 10.82±1.46 10.45±1.47 0.140
PWTd (mm) 10.40±1.40 10.80±5.33 0.179
E velocity (cm/sec) 0.73±0.19 0.72±0.14 0.779
A velocity (cm/sec) 0.63±0.18 0.62±0.15 0.841
E/A ratio 1.27±0.55 1.18±0.43 0.888
E’ (cm/sec) 0.10±0.11 0.08±0.01 0.794
E/E’ 9.47±2.50 8.42±1.70 0.159

SD, standard deviation; LVEF, left ventricular ejection fraction; LVEDD, left ventricular end-diastolic diameter; LVESD, left ventricular end-systolic diameter; LVEDV, left ventricular end-diastolic volume; LVESV, left ventricular end-systolic volume; IVSTd, interventricular septal end diastole thickness; PWTd, posterior left ventricular wall thickness; E velocity, peak early diastolic mitral flow velocity; A velocity, late diastolic mitral flow velocity; E′, early diastolic mitral annular velocity.

Table 4.
Changes of exercises test parameters and 24-hour Holter monitoring parameters
Variable Mean±SD
p-value
Before surgery After surgery (6 mo)
Exercise ECG test
 Time (sec) 397.52±91.14 495.48±104.18 0.001
 Metabolic equivalents 8.14±1.53 9.60±1.84 0.002
 Baseline SBP (mmHg) 124.95±16.95 121.19±17.63 0.104
DBP (mmHg) 71.90±15.80 69.62±12.55 0.475
HR (beats/min) 78.90±18.31 68.81±15.90 0.039
 Peak SBP (mmHg) 186.19±24.81 175.48±30.75 0.080
DBP (mmHg) 77.90±24.05 81.38±20.38 0.455
HR (beats/min) 143.00±21.47 156.57±19.13 0.007
 Recovery SBP (mmHg) 171.19±36.67 159.67±25.66 0.104
DBP (mmHg) 68.81±21.05 69.67±15.16 0.398
HR (beats/min) 100.00±11.84 82.29±21.09 0.010
 Change in SBP (mmHg) 61.24±31.08 54.29±25.11 0.139
DBP (mmHg) 6.00±19.27 11.76±20.29 0.204
 Heart rate recovery (beats/min) 43.00±20.97 64.29±18.49 0.001
24-Hour Holter monitoring
 QRS interval (beats) 97,967±17,304 77,020±20,365 <0.001
 HR Minimum 51.86±6.82 47.23±7.75 0.003
Average 76.86±8.89 71.09±9.88 0.005
Maximum 126.38±15.88 127.59±20.07 0.835
 Mean NN (ms) 791.57±88.84 869.05±126.31 0.002
 SDNN (ms) 123.57±28.05 152.57±39.49 0.002
 SDANN (ms) 106.19±26.44 134.76±36.82 0.001
 pNN50 (%) 11.66±8.01 15.29±11.42 0.181
 Frequency (ms) Very low 31.41±11.56 33.64±12.39 0.058
Low 19.98±11.96 20.81±8.40 0.076
High 13.34±5.04 14.89±5.62 0.181
 L/H ratio 1.48±0.40 1.72±1.69 0.263

SD, standard deviation; EGC, electrocardiogram; SBP, systolic blood pressure; DBP, diastolic blood pressure; HR, heart rate; mean NN, mean number of normal sinus R; SDNN, standard deviation of the N-N interval; SDNN, standard deviation of the N-N interval; SDANN, standard deviation of sequential 5-minute N-N interval means; pNN50, percentage of successive normal sinus RR intervals >50 ms; L/H, low frequency/high frequency.

Table 5.
Changes in parameters related to sleeve gastrectomy and bypass surgery
Laparoscopic sleeve gastrectomy cases (n=15) Laparoscopic Roux-en-Y gastric bypass surgery cases (n=10)
Before surgery After surgery (6 mo) p-value Before surgery After surgery (6 mo) p-value
Weight (kg) 113.97±16.80 87.56±14.45 0.001 113.41±33.65 91.45±27.51 0.005
Body mass index (kg/m2) 39.47±2.93 30.63±3.07 0.001 38.83±8.53 31.56±7.34 0.005
HRR (beats/min) 44.53±20.04 67.00±20.20 0.003 39.22±28.56 59.00±13.20 0.123
Mean NN (ms) 796.08±87.30 895.83±146.54 0.012 785.56±95.84 833.33±88.59 0.066
SDNN (ms) 117.08±30.58 152.17±38.88 0.008 132.22±23.12 153.11±42.65 0.086
SDANN (ms) 98.67±29.21 130.42±32.62 0.006 116.22±19.41 140.56±43.13 0.051
pNN50 (%) 9.58±6.10 18.42±12.90 0.015 14.43±9.71 11.12±7.92 0.374
Low frequency (ms) 18.48±4.98 22.22±10.10 0.060 21.98±17.78 18.94±5.38 0.594
High frequency (ms) 12.05±3.41 16.24±6.07 0.023 15.06±6.47 13.11±4.71 0.314
L/H ratio 1.57±0.38 1.33±0.39 0.008 1.35±0.42 2.23±2.53 0.173
HbA1c (%) 6.58±1.83 5.45±0.74 0.001 7.94±1.89 5.92±0.59 0.005
Insulin (mIU/L) 28.21±26.29 8.37±4.45 0.005 38.02±43.19 5.98±3.07 0.005
C-peptide (ng/mL) 2.60±1.49 1.66±0.65 0.004 2.70±1.11 2.28±2.88 0.139
HOMA-IR 8.19±9.80 1.78±1.03 0.004 10.87±6.62 1.41±0.84 0.005

Values are represented as mean±standard deviation.

HRR, heart rate recovery; mean NN, mean number of normal sinus R; SDNN, standard deviation of the N-N interval; SDANN, standard deviation of sequential 5-minute N-N interval means; pNN50, percentage of successive normal sinus RR intervals >50 ms; L/H, low frequency/high frequency; HbA1c, glycated hemoglobin; HOMA-IR, Homeostatic Model Assessment for Insulin Resistance.

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