Relationship between Metabolic Syndrome Components and COVID-19 Disease Severity in Hospitalized Patients: A Pilot Study

Background. Preliminary data suggest that patients with comorbidities are more susceptible to severe COVID-19 infection. However, data regarding the presence of metabolic syndrome (MetS) in patients with COVID-19 are scarce. Aim. In the present study, we aim to investigate the association between Me...

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Main Authors: Hande Erman, Banu Boyuk, Meltem Sertbas, Ali Ozdemir
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Canadian Journal of Infectious Diseases and Medical Microbiology
Online Access:http://dx.doi.org/10.1155/2022/9682032
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author Hande Erman
Banu Boyuk
Meltem Sertbas
Ali Ozdemir
author_facet Hande Erman
Banu Boyuk
Meltem Sertbas
Ali Ozdemir
author_sort Hande Erman
collection DOAJ
description Background. Preliminary data suggest that patients with comorbidities are more susceptible to severe COVID-19 infection. However, data regarding the presence of metabolic syndrome (MetS) in patients with COVID-19 are scarce. Aim. In the present study, we aim to investigate the association between MetS components and disease severity in hospitalized COVID-19 patients. Methods. We conducted a prospective observational study of 90 hospitalized patients with COVID-19 pneumonia at a tertiary hospital. The study population consisted of inpatients who tested positive by the reverse transcription polymerase chain reaction (RT-PCR) for SARS-CoV-2. Patients with critical COVID-19 disease on admission were excluded. Adult Treatment Panel III of the National Cholesterol Education Program (NCEP-ATP III) criteria were used to define MetS. Laboratory analysis and thorax CT were performed on admission. Results. 90 patients, 60 moderate and 30 severe COVID-19 patients, included in the study. The percentage of MetS cases was higher among severe COVID-19 patients (p=0.018). Of the MetS criteria fasting blood glucose (p=0.004), triglycerides (p=0.007) were significantly higher in patients with severe COVID-19 disease with no statistical significance found in waist circumference (WC) (p=0.348), systolic blood pressure (p=0.429), and HDL-C levels (p=0.263) between two groups. Body mass index (BMI) values were similar in both severe and moderate cases (p=0.854). In logistic regression analysis, serum triglycerides (p=0.024), HDL-C (p=0.006), and WC (p=0.004) were found as independent prognostic factor for severe COVID-19 infection. Conclusion. Severe COVID-19 patients have higher rates of MetS. Serum triglycerides, HDL-C, and WC have an impact on disease severity in COVID-19.
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spelling doaj-art-7bf6878fa6aa48efac6e84ac1170f7c42025-02-03T01:21:02ZengWileyCanadian Journal of Infectious Diseases and Medical Microbiology1918-14932022-01-01202210.1155/2022/9682032Relationship between Metabolic Syndrome Components and COVID-19 Disease Severity in Hospitalized Patients: A Pilot StudyHande Erman0Banu Boyuk1Meltem Sertbas2Ali Ozdemir3Department of Internal MedicineDepartment of Internal MedicineDepartment of Internal MedicineDepartment of Internal MedicineBackground. Preliminary data suggest that patients with comorbidities are more susceptible to severe COVID-19 infection. However, data regarding the presence of metabolic syndrome (MetS) in patients with COVID-19 are scarce. Aim. In the present study, we aim to investigate the association between MetS components and disease severity in hospitalized COVID-19 patients. Methods. We conducted a prospective observational study of 90 hospitalized patients with COVID-19 pneumonia at a tertiary hospital. The study population consisted of inpatients who tested positive by the reverse transcription polymerase chain reaction (RT-PCR) for SARS-CoV-2. Patients with critical COVID-19 disease on admission were excluded. Adult Treatment Panel III of the National Cholesterol Education Program (NCEP-ATP III) criteria were used to define MetS. Laboratory analysis and thorax CT were performed on admission. Results. 90 patients, 60 moderate and 30 severe COVID-19 patients, included in the study. The percentage of MetS cases was higher among severe COVID-19 patients (p=0.018). Of the MetS criteria fasting blood glucose (p=0.004), triglycerides (p=0.007) were significantly higher in patients with severe COVID-19 disease with no statistical significance found in waist circumference (WC) (p=0.348), systolic blood pressure (p=0.429), and HDL-C levels (p=0.263) between two groups. Body mass index (BMI) values were similar in both severe and moderate cases (p=0.854). In logistic regression analysis, serum triglycerides (p=0.024), HDL-C (p=0.006), and WC (p=0.004) were found as independent prognostic factor for severe COVID-19 infection. Conclusion. Severe COVID-19 patients have higher rates of MetS. Serum triglycerides, HDL-C, and WC have an impact on disease severity in COVID-19.http://dx.doi.org/10.1155/2022/9682032
spellingShingle Hande Erman
Banu Boyuk
Meltem Sertbas
Ali Ozdemir
Relationship between Metabolic Syndrome Components and COVID-19 Disease Severity in Hospitalized Patients: A Pilot Study
Canadian Journal of Infectious Diseases and Medical Microbiology
title Relationship between Metabolic Syndrome Components and COVID-19 Disease Severity in Hospitalized Patients: A Pilot Study
title_full Relationship between Metabolic Syndrome Components and COVID-19 Disease Severity in Hospitalized Patients: A Pilot Study
title_fullStr Relationship between Metabolic Syndrome Components and COVID-19 Disease Severity in Hospitalized Patients: A Pilot Study
title_full_unstemmed Relationship between Metabolic Syndrome Components and COVID-19 Disease Severity in Hospitalized Patients: A Pilot Study
title_short Relationship between Metabolic Syndrome Components and COVID-19 Disease Severity in Hospitalized Patients: A Pilot Study
title_sort relationship between metabolic syndrome components and covid 19 disease severity in hospitalized patients a pilot study
url http://dx.doi.org/10.1155/2022/9682032
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AT meltemsertbas relationshipbetweenmetabolicsyndromecomponentsandcovid19diseaseseverityinhospitalizedpatientsapilotstudy
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