Literature DB >> 36057474

Comment on "The atherogenic index of plasma as a predictor of mortality in patients with COVID-19".

Samar Sajid1.   

Abstract

Entities:  

Year:  2022        PMID: 36057474      PMCID: PMC9420727          DOI: 10.1016/j.hrtlng.2022.08.019

Source DB:  PubMed          Journal:  Heart Lung        ISSN: 0147-9563            Impact factor:   3.149


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To the editor

I have read with great interest the manuscript titled “The atherogenic index of plasma as a predictor of mortality in patients with COVID-19" by Yıldırım and Kaya and would like to commend them for their brilliant efforts. However, a few additional points would enhance the quality of this article. First of all, while this study concluded that non-survivors of the COVID-19 infection had lower LDL-C values when they were hospitalised, a study conducted on 5274 hospitalised patients found that both low and high LDL-C levels were linked to an increased risk of mortality among such patients. Secondly, there is a lack of mention regarding the ethnic background and body mass index (BMI) of patients. To illustrate their importance, consider this nation-wide cohort which shows that risk of COVID-19 mortality is higher in patients from an ethnic minority background. With regard to BMI, this nationwide prospective study found that regardless of the associated conditions, it significantly affects the probability of hospitalization and death in COVID-19 patients. Moreover, this study may have selection bias because there is a dearth of information on younger people who often have reduced cardiovascular risk profiles, perhaps because their serum lipid levels are not routinely checked. Furthermore, patients may seek medical care at different points during the course of their illness, which may have an impact on the clinical course and results. Serial concentrations of these atherogenic indicators might be measured and contrasted with other COVID-19 biomarkers to minimize this possible bias. The dates of their extraction and the onset of the symptoms can also be used to draw a comparison. Results may also be influenced by the paucity of knowledge on serum lipid levels in the periods before the COVID-19 testing. Its presence might have made it possible to determine whether the alterations in triglyceride and LDL-C levels were brought on by an underlying clinical condition or whether they were the result of modifications to lipid expression during the pathogenesis of COVID-19 infection. Additionally, because the laboratory results were only recorded on the first day of hospitalization, there is no documentation of the subsequent variations in their levels, thereby rendering it difficult to assess the relationship between their fluctuating levels and the prognosis of patients. Finally, comorbidities such as sepsis, congestive heart failure, and neuropathy have demonstrated considerable heterogeneity among COVID-19 cohorts. Evaluation of competing risks from repeated events or other diseases may have influenced risk estimates.
  4 in total

1.  Associations between body-mass index and COVID-19 severity in 6·9 million people in England: a prospective, community-based, cohort study.

Authors:  Min Gao; Carmen Piernas; Nerys M Astbury; Julia Hippisley-Cox; Stephen O'Rahilly; Paul Aveyard; Susan A Jebb
Journal:  Lancet Diabetes Endocrinol       Date:  2021-04-28       Impact factor: 32.069

2.  The atherogenic index of plasma as a predictor of mortality in patients with COVID-19.

Authors:  Özge Turgay Yıldırım; Şeyhmus Kaya
Journal:  Heart Lung       Date:  2021-01-26       Impact factor: 2.210

3.  Relationship Between Blood Lipid Levels and Mortality in Hospitalized COVID-19 Patients.

Authors:  Sidar Ş Aydın; Emrah Aksakal; Faruk Aydınyılmaz; Oktay Gülcü; İbrahim Saraç; Kamuran Kalkan; Selim Aydemir; Remziye Doğan; Uğur Aksu; İbrahim H Tanboğa
Journal:  Angiology       Date:  2022-02-06       Impact factor: 3.299

4.  Ethnic differences in COVID-19 mortality during the first two waves of the Coronavirus Pandemic: a nationwide cohort study of 29 million adults in England.

Authors:  Vahé Nafilyan; Nazrul Islam; Rohini Mathur; Daniel Ayoubkhani; Amitava Banerjee; Myer Glickman; Ben Humberstone; Ian Diamond; Kamlesh Khunti
Journal:  Eur J Epidemiol       Date:  2021-06-16       Impact factor: 8.082

  4 in total

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