Age as a variable associated with severity in patients with COVID-19
Introduction: COVID-19, rocked the world in December 2019. Since its inception, it has been observed that older patients are prone to develop severe forms of the disease. Objective: To determine the role of age as a variable associated with severity in COVID-19 patients. Methods: A retrospective c...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | Spanish |
| Published: |
Editorial Ciencias Médicas - ECIMED
2022-01-01
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| Series: | Revista Cubana de Medicina Militar |
| Subjects: | |
| Online Access: | http://www.revmedmilitar.sld.cu/index.php/mil/article/view/1766 |
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| Summary: | Introduction: COVID-19, rocked the world in December 2019. Since its inception, it has been observed that older patients are prone to develop severe forms of the disease.
Objective: To determine the role of age as a variable associated with severity in COVID-19 patients.
Methods: A retrospective cohort analytical study was conducted in 150 patients diagnosed with COVID-19, during March to June 2020. The severity was analyzed according to age groups, and a simple binary logistic regression model was used. Clinical and laboratory variables at hospital admission were summarized for the comparison of two age groups from the optimal cut-off point for age using the ROC curve. The free software R version 4.0.2 (22-06-2020) was used for processing.
Results: The age of the patients had a wide range, with disease severity predominating in the older age groups. The optimal cut-off point calculated was 71.5. Was observed that from 70 years of age onwards patients had greater comorbidity and altered laboratory tests. Likewise, a greater number of symptoms, hospital stay, and number of deaths.
Conclusions: Age is a risk factor associated with severity in patients with COVID-19, which increases significantly after 70 years of age, where a series of factors coexist which, together with advanced age, play an important role in the prognosis. |
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| ISSN: | 1561-3046 |