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Impact of Metabolic Syndrome in the Clinical Outcome of Disease by SARS-COV-2.
León-Pedroza, José Israel; Rodríguez-Cortés, Octavio; Flores-Mejía, Raúl; Gaona-Aguas, Cinthia Vianney; González-Chávez, Antonio.
  • León-Pedroza JI; Departamento de Terapia Médica Intensiva, Hospital General de México, Dr. Eduardo Liceaga, Ciudad de México, México; Facultad de Medicine, Universidad Nacional Autónoma de México, Ciudad de México, México.
  • Rodríguez-Cortés O; Laboratorio 103, Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Ciudad de México, México.
  • Flores-Mejía R; Laboratorio 103, Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Ciudad de México, México.
  • Gaona-Aguas CV; Coordinación de Vigilancia Epidemiológica, Instituto Mexicano del Seguro Social, Ciudad de México, México.
  • González-Chávez A; Clínica de Atención Integral para pacientes con Diabetes y Obesidad, Hospital General de México, Dr. Eduardo Liceaga, Ciudad de México, México. Electronic address: antoniogonzalezchavez51@gmail.com.
Arch Med Res ; 52(7): 738-745, 2021 10.
Article in English | MEDLINE | ID: covidwho-1491707
ABSTRACT

BACKGROUND:

It has been observed that subjects with comorbidities related to metabolic syndrome (MetS) as hypertension, obesity, cardiovascular disease (CVD), and diabetes mellitus (DM2) show severe cases and a higher mortality by COVID-19. To date, there is little information available on the impact of the interaction between these comorbidities in the risk of death by COVID-19. AIM OF THE STUDY To evaluate the impact of the combinations of MetS components in overall survival (OS) and risk of death among COVID-19 patients.

METHODS:

Using public data of the Ministry of Health, suspected, and confirmed COVID-19 cases from February 25-June 6, 2020 was analyzed. Mortality odds ratio (OR) was calculated with a univariate analysis (95% CI) and attributable risk. Interactions between components and survival curves were analyzed and a multivariate logistics regression analysis was conducted.

RESULTS:

The analysis included 528,651 cases out of which 202,951 were confirmed for COVID-19. Probabilities of OS among confirmed patients were 0.93, 0.89, 0.87, 0.86, and 0.83 while the OR of multivariate analysis was 1.83 (1.77-1.89), 2.58 (2.48-2.69), 2.83 (2.66-3.01), and 3.36 (2.83-3.99) for zero, one, two, three, and four MetS components, respectively. The combination with the highest risk was DM2 + hypertension at 2.22 (2.15-2.28), and the attributable risk for any component was 9.35% (9.21-9.49). Only the combination obesity + CVD showed no significant interaction.

CONCLUSION:

The presence of one MetS component doubles the risk of death by COVID-19, which was higher among patients with DM2 + hypertension. Only obesity and CVD do not interact significantly.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Metabolic Syndrome / Diabetes Mellitus / COVID-19 / Hypertension Type of study: Experimental Studies / Observational study / Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: Arch Med Res Journal subject: Medicine Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Metabolic Syndrome / Diabetes Mellitus / COVID-19 / Hypertension Type of study: Experimental Studies / Observational study / Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: Arch Med Res Journal subject: Medicine Year: 2021 Document Type: Article