Underlying comorbidities in Covid-19 related deaths by age group in Colombia

Comorbilidades de los fallecidos por COVID-19 según el grupo etario en Colombia

Main Article Content

Jorge Enrique Díaz Pinzón

Abstract

Introduction: The emerging COVID-19 pandemic caused by the SARS-CoV-2 virus represents a global health crisis which causes serious illness and death, predominantly in patients with underlying cardiovascular and metabolic anomalies. Objective: to conduct a statistical analysis of the underlying comorbidities in patients who died from COVID-19 and its distribution by age group in Colombia. Methodology: we worked on two research hypotheses. A one-factor ANOVA test was applied for the hypotheses and analyzed in the SPSS v 25.0 statistical package. Results: the significance level was 0.000, which is less than α= 0.05, therefore, the hypothesis (Ha) was accepted, which means there are differences in the average scores obtained in COVID-19-related deaths for a specific comorbidity and its distribution by age group in Colombia. Conclusion: It was determined that the most frequent comorbidity was HT (hypertension) in 5.861 cases and the most vulnerable group was the 70-79 age group; the following underlying comorbidity was DM (diabetes mellitus) in 3.589 cases, the 60-69 age group being the most vulnerable; and respiratory diseases in 2.280 cases.

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Author Biography

Jorge Enrique Díaz Pinzón, Secretaría de Educación de Soacha

. Ingeniero. Magister en Gestión de la Tecnología Educativa, Especialista en

Administración de la Informática Educativa. Docente de matemáticas e

Investigador. Secretaría de Educación de Soacha, Cundinamarca, Colombia.

orcid.org/0000-0002-8870-7769

References

Tay MZ, Poh CM, Renia L, MacAry PA, Ng LFP. The trinity of COVID-19: immunity, inflammation and intervention. Nat Rev Immunol. 2020;20(6):363-74. doi: 10.1038/s41577-020-0311-8

Velavan TP, Meyer CG. The COVID-19 epidemic. Trop Med Int Health. 2020;25(3):278-80. doi: 10.1111/tmi.13383

Hoffmann M, Kleine-Weber H, Schroeder S, Kruger N, Herrler T, Erichsen S, et al. SARS-CoV-2 Cell Entry Depends on ACE2 and TMPRSS2 and Is Blocked by a Clinically Proven Protease Inhibitor. Cell. 2020;181(2):271-80 e8. doi: 10.1016/j.cell.2020.02.052

Fignani D, Licata G, Brusco N, Nigi L, Grieco GE, Marselli L, et al. SARS-CoV-2 receptor Angiotensin I-Converting Enzyme type 2 (ACE2) is expressed in human pancreatic β-cells and in the human pancreas microvasculature. bioRxiv. 2020:2020.07.23.208041. doi: 10.1101/2020.07.23.208041

Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507-13. doi: 10.1016/S0140-6736(20)30211-7

Sardu C, D'Onofrio N, Balestrieri ML, Barbieri M, Rizzo MR, Messina V, et al. Outcomes in Patients With Hyperglycemia Affected by COVID-19: Can We Do More on Glycemic Control? Diabetes care. 2020;43(7):1408-15. doi: 10.2337/dc20-0723

Sardu C, D'Onofrio N, Balestrieri ML, Barbieri M, Rizzo MR, Messina V, et al. Outcomes in Patients With Hyperglycemia Affected by COVID-19: Can We Do More on Glycemic Control? Diabetes care. 2020;43(7):1408-15. doi: 10.2337/dc20-0723

Wu J, Huang J, Zhu G, Wang Q, Lv Q, Huang Y, et al. Elevation of blood glucose level predicts worse outcomes in hospitalized patients with COVID-19: a retrospective cohort study. BMJ Open Diabetes Res Care. 2020;8(1). doi: 10.1136/bmjdrc-2020-001476

Chee YJ, Ng SJH, Yeoh E. Diabetic ketoacidosis precipitated by Covid-19 in a patient with newly diagnosed diabetes mellitus. Diabetes Res Clin Pract. 2020;164:108166. doi: 10.1016/j.diabres.2020.108166

Organización Panamericana de la Salud, Organización Mundial de la Salud. COVID-19 y comorbilidades - AMÉRICAS. Organización Mundial de la Salud; 2020. p. 2.

Kamps BS, Hoffman C. Comorbilidades [Internet]. Steinhauser Verlag; 2020 [citado 2020 octubre]; Disponible en: https://covidreference.com/comorbs_es.

Díaz-Pinzón, J.E. Estimación de las tasas de mortalidad y letalidad por COVID-19 en Colombia. Repert Med Cir. 2020;29(Supl. Núm. 1):89-93. doi: 10.31260/RepertMedCir.01217372.1103

Díaz-Pinzón JE. Simulador Applet Descartes: Como didáctica de enseñanza de la función cuadrática. INNOVA Research Journal 2017;2(8):69-78. doi: 10.33890/innova. V2. N8.2017.256

Instituto Nacional de Salud. Coronavirus (COVID-2019) en Colombia [Internet]. Bogotá: Instituto Nacional de Salud; 2020. [citado 2020 octubre 28]; Recuperado de: https://www.ins.gov.co/Noticias/Paginas/Coronavirus.aspx.

Díaz-Pinzón JE. Precisión del pronóstico de la propagación del COVID-19 en Colombia. Repert Med Cir. 2020;29(Núm.Supl.1):27-33. doi: 10.31260/RepertMedCir.01217372.1045

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