Literature DB >> 35767333

To Screen or Not to Screen? At Which BMI Cut Point? Comment on "Obesity and BMI Cut Points for Associated Comorbidities: Electronic Health Record Study".

Chrissa Sioka1.   

Abstract

Entities:  

Keywords:  BMI; anxiety; body mass index; chronic disease; depression; health services; heart disease; myocardial perfusion imaging; obesity; risk factors; screening

Mesh:

Year:  2022        PMID: 35767333      PMCID: PMC9280459          DOI: 10.2196/37267

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   7.076


× No keyword cloud information.
In their article, Liu et al [1] investigated if there are BMI cut points for various obesity-associated comorbidities. For this purpose, they evaluated 243,332 patients aged 18 to 75 years, documented in the electronic health record, who had at least 3 in-person clinical visits over a 2-year period. The authors reported a significant correlation and calculated cutoff points of BMI with 6 comorbidities, including coronary artery disease, hypertension, hyperlipidemia, obstructive sleep apnea, osteoarthritis, and type 2 diabetes mellitus [1]. Interestingly, no association was found with anxiety and depression. In our recent study [2], although of a different concept, we prospectively evaluated a cohort of 80 patients who were subjected to myocardial perfusion imaging for myocardial ischemia evaluation. All patients in the study were additionally evaluated for the presence of anxiety and depression. Furthermore, cardiological risk factors, including obesity, were additionally assessed. Like the study by Liu et al [1], we found a positive association between obesity and myocardial ischemia. However, we also found a correlation between obesity and depression/anxiety and myocardial ischemia [2]. Other studies have also reported obesity and depression/anxiety as independent risk factors for acute coronary syndrome in young women [3] and that female patients had more central obesity and greater anxiety than male patients with coronary artery disease [4]. In any event, I agree with the conclusions of Liu et al [1] that additional studies may be needed to establish which comorbidities need to be screened in patients with overweight for appropriate management.
  4 in total

1.  Secondary prevention of coronary heart disease in Poland: does sex matter? Results from the POLASPIRE survey.

Authors:  Małgorzata Setny; Piotr Jankowski; Karol Kamiński; Zbigniew Gąsior; Maciej Haberka; Danuta Czarnecka; Andrzej Pająk; Paweł Kozieł; Karolina Szóstak-Janiak; Emilia Sawicka; Zofia Stachurska; Dariusz A Kosior
Journal:  Pol Arch Intern Med       Date:  2021-12-22

2.  Obesity and BMI Cut Points for Associated Comorbidities: Electronic Health Record Study.

Authors:  Natalie Liu; Jen Birstler; Manasa Venkatesh; Lawrence Hanrahan; Guanhua Chen; Luke Funk
Journal:  J Med Internet Res       Date:  2021-08-09       Impact factor: 7.076

3.  The impact of depression and anxiety in prognosis of patients undergoing myocardial perfusion imaging with 99mTc tetrofosmin SPECT for evaluation of possible myocardial ischemia.

Authors:  Andreas Fotopoulos; Petros Petrikis; Ioannis Iakovou; Athanasios Papadopoulos; Konstantinos Sakelariou; Evangelia Gkika; Lampros Lakkas; Christos Touzios; Konstantinos Pappas; Antonios Klaroudas; Argyrios Doumas; Chrissa Sioka
Journal:  Nucl Med Rev Cent East Eur       Date:  2020

4.  The characteristics of risk factors in Chinese young women with acute coronary syndrome.

Authors:  Ruifang Liu; Fangxing Xu; Yujie Zhou; Tongku Liu
Journal:  BMC Cardiovasc Disord       Date:  2020-06-12       Impact factor: 2.298

  4 in total
  1 in total

1.  Authors' Reply to: To Screen or Not to Screen? At Which BMI Cut Point? Comment on "Obesity and BMI Cut Points for Associated Comorbidities: Electronic Health Record Study".

Authors:  Luke Funk; Natalie Liu
Journal:  J Med Internet Res       Date:  2022-06-29       Impact factor: 7.076

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.