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Comment on “Relationship between the number of comorbidities, quality of life, and cardiac autonomic modulation in patients with coronary disease: a cross-sectional study”

Editor,

We read with great interest the original article entitled “Relationship between the number of comorbidities, quality of life, and cardiac autonomic modulation in patients with coronary disease: a cross-sectional study,” by Valente et al.11 Valente HB, Silva VEDS, Barros TRM, Vanderlei FM, Laurino MJL, Botta AFB, et al. Relationship between the number of comorbidities, quality of life, and cardiac autonomic modulation in patients with coronary disease: a cross-sectional study. Rev Assoc Med Bras (1992). 2022;68(4):450-5. https://doi.org/10.1590/1806-9282.20210919
https://doi.org/10.1590/1806-9282.202109...
in Revista da Associacao Medica Brasileira. In this article, the authors used the Medical Outcome Study 36-Item—Short Form Health Survey (SF-36) to assess the quality of life of the subjects. Their results found that the number of comorbidities is inversely related to the pain domain of the SF-36, suggesting a stronger association between higher pain levels and the number of comorbidities in patients with coronary artery disease. Although discussed in detail, our team still believes that there are some issues that need further in-depth study.

First, the authors used the RR interval as an important indicator of cardiac function to measure heart rate. However, the heart beat frequency is affected by many factors, and hormones in the body are one of the factors that need to be considered. For example, thyroid disease22 Xia MF, Chang XX, Zhu XP, Yan HM, Shi CY, Wu W, et al. Preoperative thyroid autoimmune status and changes in thyroid function and body weight after bariatric surgery. Obes Surg. 2019;29(9):2904-11. https://doi.org/10.1007/s11695-019-03910-8
https://doi.org/10.1007/s11695-019-03910...
, pituitary disease33 Xia L, Jiao Z, Pei L, Yuan C, Zhao Y, Guo Y, et al. Prenatal ethanol exposure induced disorder of hypothalamic-pituitary-adrenal axis-associated neuroendocrine metabolic programming alteration and dysfunction of glucose and lipid metabolism in 40-week-old female offspring rats. Reprod Toxicol. 2020;94:48-54. https://doi.org/10.1016/j.reprotox.2020.04.075
https://doi.org/10.1016/j.reprotox.2020....
, and kidney or adrenal disease33 Xia L, Jiao Z, Pei L, Yuan C, Zhao Y, Guo Y, et al. Prenatal ethanol exposure induced disorder of hypothalamic-pituitary-adrenal axis-associated neuroendocrine metabolic programming alteration and dysfunction of glucose and lipid metabolism in 40-week-old female offspring rats. Reprod Toxicol. 2020;94:48-54. https://doi.org/10.1016/j.reprotox.2020.04.075
https://doi.org/10.1016/j.reprotox.2020....
,44 Tona F, Boscaro M, Barbot M, Maritan L, Famoso G, Dal Lin C, et al. New insights to the potential mechanisms driving coronary flow reserve impairment in Cushing's syndrome: a pilot noninvasive study by transthoracic Doppler echocardiography. Microvasc Res. 2020;128:103940. https://doi.org/10.1016/j.mvr.2019.103940
https://doi.org/10.1016/j.mvr.2019.10394...
will directly or indirectly affect the basal metabolic rate of the human body, which in turn affects the beating frequency of the heart and hence reflects the difference in value, that is, RR.

In addition, we noted that during the subjects’ baseline data collection, the researchers collected only general demographic characteristics such as age, gender, and BMI, which were incomplete. Items such as occupation, culture, income, and permanent residence were not collected. Occupation is the determinant of a person's living habits, and poor living habits may lead to the decline of the pain domain of the SF-36. Therefore, occupational factors may be another potential factor that causes difference in the pain domain of the SF-3655 Korshøj M, Lund Rasmussen C, de Oliveira Sato T, Holtermann A, Hallman D. Heart rate during work and heart rate variability during the following night: a day-by-day investigation on the physical activity paradox among blue-collar workers. Scand J Work Environ Health. 2021;47(5):387-94. https://doi.org/10.5271/sjweh.3965
https://doi.org/10.5271/sjweh.3965...
,66 Tomes C, Schram B, Orr R. Relationships between heart rate variability, occupational performance, and fitness for tactical personnel: a systematic review. Front Public Health. 2020;8:583336. https://doi.org/10.3389/fpubh.2020.583336
https://doi.org/10.3389/fpubh.2020.58333...
.

In general, we believe that the baseline data of the patients are not complete enough, and the comparability of the groups is weak. We suggest that the authors improve the baseline data of the subjects and conduct random grouping so that the observation group (experimental group) and the control group are balanced.

  • Funding: none.

REFERENCES

  • 1
    Valente HB, Silva VEDS, Barros TRM, Vanderlei FM, Laurino MJL, Botta AFB, et al. Relationship between the number of comorbidities, quality of life, and cardiac autonomic modulation in patients with coronary disease: a cross-sectional study. Rev Assoc Med Bras (1992). 2022;68(4):450-5. https://doi.org/10.1590/1806-9282.20210919
    » https://doi.org/10.1590/1806-9282.20210919
  • 2
    Xia MF, Chang XX, Zhu XP, Yan HM, Shi CY, Wu W, et al. Preoperative thyroid autoimmune status and changes in thyroid function and body weight after bariatric surgery. Obes Surg. 2019;29(9):2904-11. https://doi.org/10.1007/s11695-019-03910-8
    » https://doi.org/10.1007/s11695-019-03910-8
  • 3
    Xia L, Jiao Z, Pei L, Yuan C, Zhao Y, Guo Y, et al. Prenatal ethanol exposure induced disorder of hypothalamic-pituitary-adrenal axis-associated neuroendocrine metabolic programming alteration and dysfunction of glucose and lipid metabolism in 40-week-old female offspring rats. Reprod Toxicol. 2020;94:48-54. https://doi.org/10.1016/j.reprotox.2020.04.075
    » https://doi.org/10.1016/j.reprotox.2020.04.075
  • 4
    Tona F, Boscaro M, Barbot M, Maritan L, Famoso G, Dal Lin C, et al. New insights to the potential mechanisms driving coronary flow reserve impairment in Cushing's syndrome: a pilot noninvasive study by transthoracic Doppler echocardiography. Microvasc Res. 2020;128:103940. https://doi.org/10.1016/j.mvr.2019.103940
    » https://doi.org/10.1016/j.mvr.2019.103940
  • 5
    Korshøj M, Lund Rasmussen C, de Oliveira Sato T, Holtermann A, Hallman D. Heart rate during work and heart rate variability during the following night: a day-by-day investigation on the physical activity paradox among blue-collar workers. Scand J Work Environ Health. 2021;47(5):387-94. https://doi.org/10.5271/sjweh.3965
    » https://doi.org/10.5271/sjweh.3965
  • 6
    Tomes C, Schram B, Orr R. Relationships between heart rate variability, occupational performance, and fitness for tactical personnel: a systematic review. Front Public Health. 2020;8:583336. https://doi.org/10.3389/fpubh.2020.583336
    » https://doi.org/10.3389/fpubh.2020.583336

Publication Dates

  • Publication in this collection
    09 Jan 2023
  • Date of issue
    2023

History

  • Received
    24 Aug 2022
  • Accepted
    09 Sept 2022
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