Journal of Clinical and Diagnostic Research, ISSN - 0973 - 709X

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MBBS, MD (Pathology),
Sanjay Gandhi institute of trauma and orthopedics,
Bengaluru.
On Aug 2018




Dr. Mamta Gupta,
"It gives me great pleasure to be associated with JCDR, since last 2-3 years. Since then I have authored, co-authored and reviewed about 25 articles in JCDR. I thank JCDR for giving me an opportunity to improve my own skills as an author and a reviewer.
It 's a multispecialty journal, publishing high quality articles. It gives a platform to the authors to publish their research work which can be available for everyone across the globe to read. The best thing about JCDR is that the full articles of all medical specialties are available as pdf/html for reading free of cost or without institutional subscription, which is not there for other journals. For those who have problem in writing manuscript or do statistical work, JCDR comes for their rescue.
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Reviewing articles is no less a pain staking process and requires in depth perception, knowledge about the topic for review. It requires time and concentration, yet I enjoy doing it. The JCDR website especially for the reviewers is quite user friendly. My suggestions for improving the journal is, more strict review process, so that only high quality articles are published. I find a a good number of articles in Obst. Gynae, hence, a new journal for this specialty titled JCDR-OG can be started. May be a bimonthly or quarterly publication to begin with. Only selected articles should find a place in it.
An yearly reward for the best article authored can also incentivize the authors. Though the process of finding the best article will be not be very easy. I do not know how reviewing process can be improved. If an article is being reviewed by two reviewers, then opinion of one can be communicated to the other or the final opinion of the editor can be communicated to the reviewer if requested for. This will help one’s reviewing skills.
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Dr. Mamta Gupta
Consultant
(Ex HOD Obs &Gynae, Hindu Rao Hospital and associated NDMC Medical College, Delhi)
Aug 2018




Dr. Rajendra Kumar Ghritlaharey

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Salient features of the JCDR: It is a biomedical, multidisciplinary (including all medical and dental specialities), e-journal, with wide scope and extensive author support. At the same time, a free text of manuscript is available in HTML and PDF format. There is fast growing authorship and readership with JCDR as this can be judged by the number of articles published in it i e; in Feb 2007 of its first issue, it contained 5 articles only, and now in its recent volume published in April 2011, it contained 67 manuscripts. This e-journal is fulfilling the commitments and objectives sincerely, (as stated by Editor-in-chief in his preface to first edition) i e; to encourage physicians through the internet, especially from the developing countries who witness a spectrum of disease and acquire a wealth of knowledge to publish their experiences to benefit the medical community in patients care. I also feel that many of us have work of substance, newer ideas, adequate clinical materials but poor in medical writing and hesitation to submit the work and need help. JCDR provides authors help in this regards.
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In the era of fast growing newer technologies, and in computer and internet friendly environment the manuscripts preparation, submission, review, revision, etc and all can be done and checked with a click from all corer of the world, at any time. Of course there is always a scope for improvement in every field and none is perfect. To progress, one needs to identify the areas of one's weakness and to strengthen them.
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Thanking you
With sincere regards
Dr. Rajendra Kumar Ghritlaharey, M.S., M. Ch., FAIS
Associate Professor,
Department of Paediatric Surgery, Gandhi Medical College & Associated
Kamla Nehru & Hamidia Hospitals Bhopal, Madhya Pradesh 462 001 (India)
E-mail: drrajendrak1@rediffmail.com
On May 11,2011




Dr. Shankar P.R.

"On looking back through my Gmail archives after being requested by the journal to write a short editorial about my experiences of publishing with the Journal of Clinical and Diagnostic Research (JCDR), I came across an e-mail from Dr. Hemant Jain, Editor, in March 2007, which introduced the new electronic journal. The main features of the journal which were outlined in the e-mail were extensive author support, cash rewards, the peer review process, and other salient features of the journal.
Over a span of over four years, we (I and my colleagues) have published around 25 articles in the journal. In this editorial, I plan to briefly discuss my experiences of publishing with JCDR and the strengths of the journal and to finally address the areas for improvement.
My experiences of publishing with JCDR: Overall, my experiences of publishing withJCDR have been positive. The best point about the journal is that it responds to queries from the author. This may seem to be simple and not too much to ask for, but unfortunately, many journals in the subcontinent and from many developing countries do not respond or they respond with a long delay to the queries from the authors 1. The reasons could be many, including lack of optimal secretarial and other support. Another problem with many journals is the slowness of the review process. Editorial processing and peer review can take anywhere between a year to two years with some journals. Also, some journals do not keep the contributors informed about the progress of the review process. Due to the long review process, the articles can lose their relevance and topicality. A major benefit with JCDR is the timeliness and promptness of its response. In Dr Jain's e-mail which was sent to me in 2007, before the introduction of the Pre-publishing system, he had stated that he had received my submission and that he would get back to me within seven days and he did!
Most of the manuscripts are published within 3 to 4 months of their submission if they are found to be suitable after the review process. JCDR is published bimonthly and the accepted articles were usually published in the next issue. Recently, due to the increased volume of the submissions, the review process has become slower and it ?? Section can take from 4 to 6 months for the articles to be reviewed. The journal has an extensive author support system and it has recently introduced a paid expedited review process. The journal also mentions the average time for processing the manuscript under different submission systems - regular submission and expedited review.
Strengths of the journal: The journal has an online first facility in which the accepted manuscripts may be published on the website before being included in a regular issue of the journal. This cuts down the time between their acceptance and the publication. The journal is indexed in many databases, though not in PubMed. The editorial board should now take steps to index the journal in PubMed. The journal has a system of notifying readers through e-mail when a new issue is released. Also, the articles are available in both the HTML and the PDF formats. I especially like the new and colorful page format of the journal. Also, the access statistics of the articles are available. The prepublication and the manuscript tracking system are also helpful for the authors.
Areas for improvement: In certain cases, I felt that the peer review process of the manuscripts was not up to international standards and that it should be strengthened. Also, the number of manuscripts in an issue is high and it may be difficult for readers to go through all of them. The journal can consider tightening of the peer review process and increasing the quality standards for the acceptance of the manuscripts. I faced occasional problems with the online manuscript submission (Pre-publishing) system, which have to be addressed.
Overall, the publishing process with JCDR has been smooth, quick and relatively hassle free and I can recommend other authors to consider the journal as an outlet for their work."



Dr. P. Ravi Shankar
KIST Medical College, P.O. Box 14142, Kathmandu, Nepal.
E-mail: ravi.dr.shankar@gmail.com
On April 2011
Anuradha

Dear team JCDR, I would like to thank you for the very professional and polite service provided by everyone at JCDR. While i have been in the field of writing and editing for sometime, this has been my first attempt in publishing a scientific paper.Thank you for hand-holding me through the process.


Dr. Anuradha
E-mail: anuradha2nittur@gmail.com
On Jan 2020

Important Notice

Original article / research
Year : 2023 | Month : May | Volume : 17 | Issue : 5 | Page : BC01 - BC06 Full Version

Association of Cardiac Autonomic Function Derangement with Obesity and Glycated Haemoglobin: A Cross-sectional Study


Published: May 1, 2023 | DOI: https://doi.org/10.7860/JCDR/2023/62899.17808
Piyush Bansal, Prerna Panjeta, Praveen Prashant, Komal

1. Associate Professor, Department of Biochemistry, BPS Government Medical College for Women, Khanpur Kalan, Sonepat, Haryana, India. 2. Associate Professor, Department of Biochemistry, BPS Government Medical College for Women, Khanpur Kalan, Sonepat, Haryana, India. 3. Senior Resident/Demonstrator, Department of Biochemistry, Pt. B.D. Sharma, PGIMS, Rohtak, Haryana, India. 4. Undergraduate Student, Department of HCMS, BPS Government Medical College for Women, Khanpur Kalan, Sonepat, Haryana, India.

Correspondence Address :
Dr. Praveen Prashant,
44/11J, Medical Campus, PGIMS, Rohtak-124001, Haryana, India.
E-mail: praveenprashant12@gmail.com

Abstract

Introduction: Hyperglycaemia (as assessed by Glycated haemoglobin (HbA1c)) and obesity lead to the production of advanced glycation end products in blood, which are responsible for damage to the microvasculature, slowly leading to cardiac autonomic dysfunction. Thus, chronic prediabetic hyperglycaemia, as measured by HbA1c may affect cardiac autonomic function in different ranges of obesity (overweight and obese).

Aim: To study the association of cardiac autonomic dysfunction with Body Mass Index (BMI) and HbA1c.

Materials and Methods: The cross-sectional study was conducted at BPS Government Medical College, Sonepat, Haryana, India, from June to December 2019. This study included age and sex-matched 50 healthy, 50 overweight, and 50 obese subjects aged 18- 50 years. Serum HbA1c, lipid profile and cardiac autonomic function tests for the parasympathetic system (Resting heart rate, Expiration-inspiration difference on deep breathing, Heart rate response to standing/30:15 stand ratio, Valsalva ratio) and sympathetic system {postural hypotension/fall in Systolic Blood Pressure (SBP) and change in Diastolic Blood Pressure (DBP) on sustained hand grip test} were performed. Chi-square test and Mann-Whitney test were used for statistical analysis.

Results: The prevalence of sympathetic autonomic dysfunction was highest in the obese group (36% in males n=25, and 32% in females, n=25) followed by overweight group (12% in males, n=25 and 12% in females, n=25). The prevalence of parasympathetic autonomic dysfunction was highest in the obese group (40% in males, n=25 and 32% in females, n=25), followed by the overweight group (24% in males, n=25 and 16% in females, n=25). Further, HbA1c was highest in obese males (6.27±1.54) and females (5.94±0.45), followed by overweight males (5.89±0.92) and females (5.46±1.84). Males and females with autonomic dysfunction had significantly higher HbA1c (Males 6.4±0.42 and Females 6.2±0.38) than those without it (Males 5.4±0.86 and Females 5.2±0.75) in the obese and overweight groups taken together.

Conclusion: The prevalence of parasympathetic and sympathetic dysfunction is incrementally increased with higher obesity (BMI) and HbA1c. Overweight and obese subjects with cardiac autonomic dysfunction had higher HbA1c and worse lipid profiles than overweight and obese subjects without autonomic dysfunction.

Keywords

Body mass index, Parasympathetic, Sympathetic

Obesity is the modern-day worldwide pandemic extending across all geographical, racial, religious, and economic divides. Adipocytes secrete cytokines and free fatty acids, which are responsible for insulin resistance and subsequent hyperglycaemia (1). Chronic hyperglycaemia, as reflected by HbA1c levels, gradually increases over the years from the prediabetic range (HbA1c 5.7-6.4%) to the diabetic range (HbA1c ≥6.5%). Prediabetic hyperglycaemia or episodes of hyperglycaemia lead to the production of advanced glycation end products in blood. These advanced glycation end products causes microvascular damage, peripheral neuropathy, autonomic dysfunction, nephropathy, and retinopathy (1),(2),(3). HbA1c levels reflect chronic hyperglycaemia and advanced glycation end-product levels (2),(3).

Cardiac autonomic function testing helps measure the grade of autonomic neuropathy and dysfunction. Parasympathetic tests include: Resting heart rate, Expiration-inspiration (E-I) difference on deep breathing, Heart rate response to standing (30:15 stand ratio), Valsalva ratio (4),(5). Sympathetic tests include: Postural hypotension/ fall in SBP and change in DBP on sustained hand grip/isometric exercise test (6),(7).

Prevalence of parasympathetic dysfunction was 25%, and the prevalence of sympathetic dysfunction was 6% in patients with hyperglycaemia in impaired glucose tolerance (prediabetic) range from the Finnish Diabetes Prevention Study cohort (8). Putz Z et al., demonstrated that the mean 24-hours SBP and DBP were significantly higher in 75 people with prediabetic hyperglycaemia compared to a control group of 40 individuals (9). Lu Y et al., described that cardiac autonomic neuropathy was associated with metabolic syndrome and hyperglycaemia (10). Ziegler D et al., described prevalence of cardiac autonomic dysfunction was increased not only in individuals with diabetes but also in those with hyperglycaemia in the prediabetic range (11). Garg R et al., observed in 30 obese subjects aged 21-40 years, that the results of heart rate response to standing (30:15 ratio), valsalva ratio, heart rate response to deep breathing, isometric handgrip exercise test and cold pressor test were significantly lower in obese subjects as compared to control subjects. They noted that latent autonomic neuropathy may be present in otherwise healthy obese individuals (12). In studies by Dimova R et al., and Balciog? lu AS et al., cardiac autonomic neuropathy was found in a significantly higher number of prediabetics, and HbA1c was related to sural sensory neuropathy. Their results demonstrated a high prevalence of autonomic and sensory nerve dysfunction in the early stages of hyperglycaemia (13),(14). Multiple studies have shown that obese people are less responsive to blood pressure changes in posture (15). Monterio G et al., also showed in obese people that there was a decrease in blood pressure response to the isometric handgrip exercise test, reflecting sympathetic dysfunction in contrast to the control group (16). van Baak MA stated that in obesity, sympathetic activity as measured by isometric hand grip and cold pressor test is reduced, and it may be responsible for the maintenance of obesity (17). However, Chiheb S et al., in a study on metabolically healthy obese phenotype, cardiac autonomic dysfunction was not associated with obesity or hyperglycaemia (1).

Valensi P et al., has demonstrated sympathetic insufficiency in obese people. Additionally, it was shown that patients with autonomic dysfunction have increased glucose-induced reduction of lipid oxidation rate in obese persons, which could be due to a decline in parasympathetic activity (18). Further, the activity of the sympathetic nervous system is a determinant of energy expenditure which affects obesity (19). This makes cardiac autonomic dysfunction in obesity even more significant as it may lead to a vicious cycle of maintaining obesity. Cardiac autonomic dysfunction in different range of obesity (overweight and obese ranges) has not been described separately in previous studies (15),(17). The study was conducted in 2019 and the advent of the COVID-19 pandemic from year 2020 has further increased the importance of such pre-COVID-19 data related to obesity and its health effects. The aim and objectives of the study were to study association of cardiac autonomic dysfunction with BMI and HbA1c. Comparison of prevalence of cardiac autonomic dysfunction in healthy, overweight and obese adults and comparison of HbA1c levels in subjects with and without cardiac autonomic dysfunction.

Material and Methods

The hospital-based case-control cross-sectional study was conducted at BPS Government Medical College, which caters to the rural population of Khanpur Kalan, Haryana, India, from June to December 2019 in the pre-COVID era. Institutional scientific and ethical clearance was taken vide letter no. BPSGMCW/RC 445/IEC 19 dated 13 May 2019. Informed and voluntary consent was taken from all subjects.

Inclusion criteria: Individuals of age 18-50 years, consenting voluntarily (volunteers, doctors, and staff working in the medical college and hospital) were included in the study.

Exclusion criteria: Individuals with pregnancy/lactation, history of stroke or coronary/peripheral artery disease as assessed from medical records or complete clinical history and examination, acute or chronic renal/liver/thyroid disease, history of gout/autoimmune diseases, hormonal disorders, Diabetes Mellitus and use of drugs affecting testosterone/estradiol/thyroid/metabolism were excluded from the study.

Sample size: A sample size of 150 as was decided for the study- 50 healthy, 50 overweight, and 50 obese subjects with each group having 25 males and 25 females. Relevant clinical history and physical examination including measurement of BMI, weight in kg/square of height in meter were performed in all subjects to meet inclusion and exclusion criteria. The healthy BMI range was defined as 18.5-24.9 kg/m2, overweight as BMI 25-29.9 kg/m2, and obesity as BMI ≥30 kg/m2 for the purpose of this study [1,2].

Cardiac autonomic function tests were done in the central research lab with the help of the Cardiac Autonomic Function System (CANS) 504R instrument. The laboratory environment was kept quiet, the temperature between 30-35ºC, and the lighting subdued. Subjects were asked to empty their bladder before the tests. The tests did not involve intravascular instrumentation or administration of drugs at any stage. Tests were carried out after 10 minutes of adaptation to the lab environment [7,20]. Cardiac autonomic function tests include assessment of parasympathetic function by measurement of:

1. Resting heart rate: normal is 60 to 100 beats per minute (4).
2. Heart rate response to standing (30:15 stand ratio): performed during the initial phase of adaptation to orthostasis i.e. immediately upon standing (first 45s), and the ratio is 2calculated as a quotient of the maximal (around 30th heart beat) to minimal (near 15th heart beat) RR interval in this period in the Electrocardiogram (ECG) recorded. Value less than 1.04 is abnormal (5),(20).
3. Expiratory-Inspiratory difference (E-I difference)/heart rate response to deep breathing: Heart rate was recorded first during normal breathing (at rest) and then during deep breathing (6/minutes, with five seconds of inhalation and five seconds of exhalation per breath). ECG was recorded and difference between the average of the largest accelerations during inspiration and the average of the largest decelerations during expiration was calculated. Value < 15 beats per minute is abnormal [5,20].
4. The valsalva ratio: Subjects were instructed to exhale into a mouthpiece connected to a mercury manometer and to maintain the expiratory pressure of 40 mmHg for 15 seconds. A clamp is placed on the nose and it is suddenly released after 15 seconds. ECG is recorded during the resting period and during the subsequent 40 heart beats after releasing the clamp. The ratio was calculated between the maximum R-R interval (after the release of strain) and the minimum R-R interval (during strain). Value below 1.21 is abnormal (7),(20).

Parasympathetic dysfunction was defined as abnormal result on abnormal heart rate response to standing (30:15 stand ratio) test or abnormal result on both E-I difference and Valsalva ratio tests (20).

Sympathetic function tests included:

1. Postural hypotension/fall in SBP: After baseline recording of SBP and heart rate in the supine position, the subject was asked to stand for atleast 120 seconds. Blood pressure and heart rate were recorded immediately and 120 seconds after the standing position. Difference between the baseline supine and the minimal blood pressure after standing up was taken. More than 20 mmHg decline in SBP is abnormal (7),(20).
2. Change in DBP on sustained hand grip/isometric exercise test: After recording basal blood pressure, subjects were asked to perform an isometric handgrip exercise. Subjects were instructed to hold the handgrip spring dynamometer in the dominant hand to have a full grip. The handles of the dynamometer were compressed by the subject with maximum effort for a few seconds. The entire process was carried out three times, with breaks in between to prevent fatigue. The mean of the three readings was referred to as maximal isometric tension (T max). Then, the subjects were instructed to perform an isometric handgrip exercise at 30% of T max for two minutes. During the test, blood pressure was recorded from the non exercising arm. Five minutes after completion of the exercise blood pressure was again recorded. Difference between the highest diastolic pressure during the examination and the average diastolic pressure at rest was taken. It should normally be higher than 10 mmHg [6,20].

Sympathetic dysfunction was defined as abnormal result on both of the above tests of cardiac sympathetic function (20). Presence of either of parasympathetic or sympathetic dysfunction was defined as presence of cardiac autonomic dysfunction in a subject (20).

SBP and DBP were measured during cardiac autonomic function testing using CANS 504R instrument. Normal SBP and DBP were taken as <120 mmHg and <80 mm Hg, respectively (20).

HbA1c and lipid profile were done in all subjects enrolled in fasting blood samples. These tests were performed on the Roche Modular P800R biochemistry autoanalyser. Appropriate quality control was carried out for all investigations. HbA1c was measured using National Glycohaemoglobin Standardisation Program standardised assay using the immune-inhibition method-based commercial kits on Roche Modular P800R autoanalyser (21). Reference range of HbA1c was taken as: Normal < 5.7%, Prediabetic 5.7-6.4%, Diabetic ≥6.5%. Lipid profile included total cholesterol (cholesterol esterase and cholesterol oxidase method, normal <200 mg/dL), Low Density Lipoprotein (LDL) cholesterol (calculated by Friedwald formula, normal <130 mg/dL), High Density Lipoprotein (LDL) Cholesterol (magnesium sulphate/PEG-Cholesterol esterase method, normal 40-60 mg/dL), and Triglycerides (glycerol oxidase-lipase method, normal <150 mg/dL) (22).

Statistical Analysis

Statistical Package for the Social Sciences (SPSS) version 20.0 was used for various statistical analyses. A comparison of data between groups was made using the Mann-Whitney test for quantitative data and the Chi-square test for qualitative data. A p-value <0.05 was considered to be statistically significant.

Results

The results of BMI, HbA1c, parasympathetic function tests, and sympathetic function tests in healthy, overweight, and obese subjects are summarised in (Table/Fig 1). Age distribution was similar in the three groups. Amongst parasympathetic function tests, obese males had maximum decline in E-I Difference (15.79±3.61), 30:15 stand Ratio (0.98±0.04) and Valsalva Ratio (1.31±0.17) compared to healthy counterparts. Parasympathetic dysfunction was present in 40% (10/25) of obese males and 32% (8/25) of obese females compared to 24% (6/25) of overweight males and 16% (4/250) of overweight females. Amongst sympathetic function tests, maximum fall in SBP was seen in obese males (16.43±5.65) and obese females (15.48±5.27). Decline in DBP change on sustained hand grip was noted most in obese males (5.9±2.1) and obese females (6.3±2.9) followed by overweight females (8.7±2.5) compared to healthy counterparts. Sympathetic dysfunction was present in 36% (9/25) of obese males and 32% (8/25) of obese females compared to 12% (3/25) of overweight males and 12% (3/25) of overweight females. Amongst the 50 obese and overweight males 16 had cardiac autonomic dysfunction. Amongst the 50 obese and overweight females 12 had cardiac autonomic dysfunction. The comparison of overweight and obese subjects with and without cardiac autonomic dysfunction is summarised in (Table/Fig 2). HbA1c, total-cholesterol, LDL-cholesterol and triglyceride levels were significantly higher in the former group in both male and female subjects. HbA1c levels were maximum in obese and overweight males with cardiac autonomic dysfunction (6.4±0.42%).

Discussion

Central obesity causes insulin resistance which in turn leads to hyperglycaemia in prediabetic range. Chronic hyperglycaemia is reflected by HbA1c levels and was seen to be incrementally increased in overweight and obese groups in this study. HbA1c is biomarker of advanced glycation end products, which is responsible for endothelial and microvascular damage. Microvascular damage leads to retinopathy, nephropathy, and neuropathy (3). In this study, levels of HbA1c were significantly higher in obese and overweight subjects with cardiac autonomic dysfunction than those without it. Prevalence of cardiac autonomic dysfunction, as reflected by various tests of sympathetic and parasympathetic function, was significantly higher in obese than overweight and in both these groups than healthy controls. Total cholesterol, LDL cholesterol, and triglycerides, were also significantly higher in obese and overweight subjects with autonomic dysfunction than in obese and overweight subjects without autonomic dysfunction. Parasympathetic dysfunction was found associated with BMI and triglyceride levels but not with cholesterol or HbA1c by Laitinen T et al., (8). Higher levels of HbA1c and lipids were found in individuals with cardiac autonomic dysfunction in another study (23). Dimova R et al., and Balciog? lu AS et al., also did not find associations between lipid levels and autonomic dysfunction in obese subjects (13),(14). van Biljon A et al., also described association of high LDL levels with cardiac autonomic dysfunction (24).

Parasympathetic function tests like E-I difference on deep breathing, 30:15 stand ratio, and Valsalva ratio were significantly deranged in obese males and females than healthy counterparts. Parasympathetic dysfunction reflects decreased baroreflex sensitivity in obese subjects. Baroreceptor resetting may occur in obese individuals due to atherosclerosis that hardens the carotid sinus walls, which reduces vessel wall compliance. Obese people are less responsive to blood pressure changes to posture (15),(18). Sympathetic function test- Fall in SBP/postural hypotension was significantly higher in obese males and females than in healthy counterparts. In other sympathetic function tests, change in DBP on sustained hand grip (isometric exercise) was significantly lower in obese males and females than in healthy subjects. Prevalence of cardiac autonomic dysfunction, as evaluated by deep breathing, valsalva, and standing was found higher in 24 prediabetic individuals compared to 16 healthy controls in a study published by Dimova R et al., (23). Sushma S et al., assessed cardiac autonomic function by deep breathing test, Valsalva ratio, Orthostatic Heart Rate (OHR), isometric handgrip test, and orthostatic blood pressure in elderly individuals and found significant association for deranged autonomic dysfunction with HbA1c (25). Increased mean resting heart rate was described in individuals with high HbA1c by Casagrande SS et al., (26). Findings of present and previous studies are summarised in (Table/Fig 3) (8),(9),(11),(12),(13),(14),(16),(18),(23),(24),(25),(26).

Obesity leads to decreased activity of the sympathetic nervous system and a lower increase in peripheral resistance to manoeuvres like isometric hand grip exercise which activate the sympathetic system (17),(18). van Baak MA further stated that sympathetic reactivity to isometric handgrip exercise is reduced in obesity. Reduced sympathetic reactivity may be responsible for the maintenance of the obese state by decreasing energy expenditure (17). Valensi P et al., also demonstrated sympathetic insufficiency in obese people. Further, it was shown that glucose induced inhibition of the lipid oxidation rate in obese people is greater in patients with cardiac autonomic dysfunction, which could be due to a decrease in parasympathetic activity (18). The possible mechanisms interlinking obesity, hyperglycaemia, and cardiac autonomic dysfunction described in the literature are summarised in (Table/Fig 4) (27),(28),(29).

HbA1c is produced non enzymatically from haemoglobin as a glycation product due to prolonged hyperglycaemia. Increased HbA1c is a direct marker of neuronal, endothelial, and microvascular damage due to advanced glycation end-product formation (30). Stino AM and Smith AG also showed that HbA1c, and increased resting heart rate are the strongest independent predictors of cardiac autonomic dysfunction (30). Similarly, in the study by Lu Y et al., resting heart rate, HbA1c, diabetes, and hypertension were the strongest predictors of cardiac autonomic dysfunction (10). Further obesity is known to be associated with hypertension due to multiple factors like adipose tissue-derived angiotensinogen, obstructive sleep apnoea, subclinical inflammation, and high dietary fat and carbohydrate content acutely stimulating peripheral α1 and β-adrenergic receptors (27),(28). In this study also, obese and overweight subjects had higher SBP and DBP than their healthy counterparts.

Limitation(s)

The study was limited by minimum sample size as well as inability to study heart rate variability and heart rate turbulence as added test of cardiac autonomic function due to limitations of resources.

Conclusion

The prevalence of parasympathetic dysfunction was incrementally increased with higher obesity. The prevalence of sympathetic dysfunction was also increased in obese individuals. Overweight and obese subjects with cardiac autonomic dysfunction had higher HbA1c than overweight and obese subjects without autonomic dysfunction. Based on the findings of this study, a larger sample size study that also examines heart rate variability, heart rate turbulence as well as fasting insulin and serum advanced glycation end products could be very beneficial in understanding the impact of obesity on cardiac autonomic function across the complete range of BMI.

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DOI and Others

DOI: 10.7860/JCDR/2023/62899.17808

Date of Submission: Jan 14, 2023
Date of Peer Review: Feb 08, 2023
Date of Acceptance: Apr 20, 2023
Date of Publishing: May 01, 2023

AUTHOR DECLARATION:
• Financial or Other Competing Interests: None
• Was Ethics Committee Approval obtained for this study? Yes
• Was informed consent obtained from the subjects involved in the study? Yes
• For any images presented appropriate consent has been obtained from the subjects. NA

PLAGIARISM CHECKING METHODS:
• Plagiarism X-checker: Jan 17, 2023
• Manual Googling: Mar 22, 2023
• iThenticate Software: Apr 14, 2023 (13%)

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