Clinical, bioelectrical, epidemiological and nutritional characterization of patient with COVID-19
Keywords:
coronavirus, SARS-CoV-2, COVID-19, electric impedance, nutritional status.Abstract
Introduction: During the last decades, the world has been exposed to a series of threats by emerging viral outbreaks of different nature, which, when studied in detail, it is possible to understand their real impact, not only in an immediate way, but also in the long term.
Objective: To characterize clinical, bioelectrical, epidemiological, and nutritional aspects of COVID-19 patients.
Methods: An observational and descriptive study of 312 patients confirmed with COVID-19 was carried out. The following variables were studied: Age group, sex, nutritional status, disease intensity, phase angle, status at discharge and days of disease evolution. The data were obtained from the medical records of the patients. Absolute frequencies and percentages were analyzed for categorical variables and mean and standard deviation for quantitative variables.
Results: Mean age was 56.7 years, predominance of patients aged 60 years and over (43.3%), male (70.8%), overweight (50.6%) and slightly affected (58.0%). Obesity (26.4%) and worse evolution were more frequent in the female sex. Likewise, patients with greater intensity of the condition and those who died, showed lower phase angle values.
Conclusions: The association between female sex, old age and obesity with a worse evolution of the disease in affected patients is evident. Phase angle is confirmed as the main variable of electrical bioimpedance related to the evolution and mortality of this type of patients.
Downloads
References
2. Guzmán Del Giudice OE, Lucchesi Vásquez EP, Trelles De Belaúnde M, Pinedo Gonzales RH, Camere Torrealva MA, Daly A, et al. Características clínicas y epidemiológicas de 25 casos de COVID-19 atendidos en la Clínica Delgado de Lima. Rev Soc Peru Med Interna. 2020 [acceso: 29/04/2020]; 33(1):15-24. Disponible en: http://revistamedicinainterna.net/index.php/spmi/article/view/506
3. Xaverius Moonen HPF, Louise van Zanten FJ, Driessen L, de Smet V, Slingerland-Boot R, Mensink M, Hubert van Zanten AR. Association of bioelectric impedance analysis body composition and disease severity in COVID-19 hospital ward and ICU patients: The BIAC-19 study. Clinical Nutrition. 2021 [acceso: 29/01/2023]; 40: 2328-36. DOI: 10.1016/j.clnu.2020.10.023
4. Cala Calviño L, Rodríguez Casero R, Reyes Coyado M, Morris Quevedo HJ. Composición corporal estimada por bioimpedancia eléctrica en ratas wistar tras administración de lecitina de soya. En: Segundo congreso virtual de ciencias básicas biomédicas en Granma. Manzanillo: Cibamanz; 2021 [acceso: 08/02/2023]. Disponible en: https://cibamanz2021.sld.cu/index.php/cibamanz/cibamanz2021/paper/viewFile/88/125
5. Ramírez Herrera CJ, Pico Tarazona JC, Sánchez IA, Garavito Peña FR, Mendoza Romero D, Castro Jiménez LE. Ángulo de fase como indicador de riesgo cardiovascular en estudiantes universitarios. Rev Colomb Cardiol. 2021; 28(6):656-64. DOI: 10.24875/RCCAR.M21000109
6. Palacios Cruz M, Santos E, Velázquez Cervantes MA, León Juárez M. COVID-19, una emergencia de salud pública mundial. Rev Clin Esp. 2020 [acceso: 11/02/2023]; 221(1):55-61. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102523/pdf/main.pdf
7. Ministerio de Salud Pública de Cuba. Protocolo de actuación nacional para la COVID-19. Versión 1.6. La Habana: Ministerio de salud pública; 2021. [acceso: 04/02/2023]. Disponible en: https://covid19cubadata.github.io/protocolos/protocolo-version-6.pdf
8. Miranda Pérez Y, Peña González M, Ochoa Roca TZ, Sanz Candía M, Velázquez Garcés M. Caracterización nutricional del adulto mayor en el policlínico. CCM. 2019 [acceso: 17/02/2023]; 23(1):122-43. Disponible en: http://scielo.sld.cu/pdf/ccm/v23n1/1560-4381-ccm-23-01-122.pdf
9. Matos Chamorro DRA, Lucero Ccencho YY, Molina Miranda MN. Evaluación de modelos matemáticos para estimar el peso y talla en pacientes adultos usando CRM, RMSE, Pearson y Bland Altman. Rev Nutr Clín Diet Hosp. 2022; 42(1):152-9. DOI: 10.12873/421matos
10. Cruz R. El análisis de bioimpedancia eléctrica. Nutrición clínica. Iidenut. 2022 [actualizado: 25/07/2022; acceso: 22/03/2023]. Disponible en: https://www.iidenut.org/instituto/2022/07/25/el-analisis-de-impedancia-bioelectrica/
11. Asociación Médica Mundial. Declaración de Helsinki de la AMM - Principios éticos para las investigaciones médicas en seres humanos. Brasil, Fortaleza: AMM; 2013. [acceso: 08/02/2023]. Disponible en: https://www.wma.net/es/policies-post/declaracion-de-helsinki-de-la-amm-principios-eticos-para-las-investigaciones-medicas-en-seres-humanos/
12. Jaqueti Aroca J, Molina Esteban LM, García Arata I, García Martínez J. COVID-19 en pacientes españoles e inmigrantes en un área sanitaria de Madrid. Rev Española Quimioter. 2020 [acceso: 28/05/2020]; 33(4):289-91. Disponible en: https://seq.es/wp-content/uploads/2020/05/jaqueti20may2020.pdf
13. Cortés AE, García Ubaque JC, Becerra CE. Comportamiento por sexo y género de la pandemia de COVID-19 en Colombia. Rev. Salud Pública. 2020 [acceso: 03/07/2023]; 22(6): 575-81. Disponible en: https://scielosp.org/pdf/rsap/2020.v22n6/575-581/es
14. Samada Suárez M, Hernández Perera JC. ¿Predomina la mortalidad por la Covid-19 en el sexo masculino? Boletín Científico del CIMEQ. 2020 [acceso: 08/02/2023]; 1(15):6-7. Disponible en: http://instituciones.sld.cu/bolcimeq/2020/06/29/predomina-la-mortalidad-por-la-covid-19-en-el-sexo-masculino/
15. Alfonso Guerra JP, Jiménez Acosta S, Alfonso Julia JM. Relación entre la obesidad y la Covid-19. Rev Cub Med. 2021 [acceso: 08/02/2023]; 60(4):1-8. Disponible en: http://scielo.sld.cu/pdf/med/v60n4/1561-302X-med-60-04-e2397.pdf
16. Wu Z, McGoogan JM. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention. JAMA. 2020 [acceso: 08/02/2023]; 323(13):1239-42. Disponible en: https://pubmed.ncbi.nlm.nih.gov/32091533/
17. Rearte A, María Baldani AE, Barcena Barbeira P, Domínguez CS, Laurora MA, Pesce M, et al. Características epidemiológicas de los primeros 116 974 casos de COVID-19 en Argentina, 2020. Rev. argent. salud pública. 2020 [acceso: 26/11/2021]; 12 (supl.1):[aprox. 9 pant.]. Disponible en: http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S1853-810X2020000300005&lng=es&nrm=iso&tlng=es
18. González Lara D, Sánchez Hernández E, Labrada Chacón L, Ferrer Castro JE, Moreno reyes JC. Características clínico epidemiológicas de pacientes sospechosos y confirmados con la covid-19 en una comunidad con régimen de cuarentena. MEDISAN. 2022 [acceso: 08/02/2023]; 26(2):342-54. Disponible en: https://medisan.sld.cu/index.php/san/article/view/4045/html
19. Donner Alves F, Correa Souza G, Badin Aliti G, Rejane Rabelo-Silva E, Clausell N, Biolo A. Dynamic changes in bioelectrical impedance vector analysis and phase angle in acute decompensated heart failure. Rev Nutrition. 2015 [acceso: 08/02/2023]; 31(1):84-9. Disponible en: https://pubmed.ncbi.nlm.nih.gov/25466653/
20. Alvero Cruz JR, Correas Gómez L, Ronconi M, Fernández Vázquez R, Porta Manzañido J. La bioimpedancia eléctrica como método de estimación de la composición corporal: normas prácticas de utilización. Rev Andal Med Deporte. 2011 [acceso: 01/03/2023]; 4(4):[aprox. 7 pant.]. Disponible en: http://www.redalyc.org/pdf/3233/323327668006.pdf
21. Osuna Padilla IA, Rodríguez Moguel NC, Rodríguez Llamazares S, Aguilar Vargas A, Casas Aparicio GA, Ríos Ayala MA, et al. Low phase angle is associated with 60-daymortality in critically ill patients with COVID-19. JPEN J Parenter Enteral Nutr. 2022 [acceso: 24/01/2022]; 46(4):828-35. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8420520/
22. Lima e Silva RR, Sabino Pinho CP, Galvao Rodrígues I, De Moura Monteiro Junior JG. Ángulo de fase como indicador del estado nutricional y pronóstico en pacientes críticos. Nutr Hosp. 2015 [acceso: 24/01/2022]; 31(3):1278-85. DOI: 10.3305/nh.2015.31.3.8014
23. Miranda Pedroso M. Tormenta de citoquinas en la infección por SARS-CoV-2 (COVID-19). Rev Cub de Med Intensiva y Emergencias. 2021 [acceso: 26/01/2023]; 20(3):1-24. Disponible en: https://revmie.sld.cu/index.php/mie/article/view/830
24. Danielsen AC, Lee KMN, Boulicault M, Rushovich T, Gompers A, Tarrant A, et al. Sex disparities in COVID-19 outcomes in the United States: Quantifying and contextualizing variation. Social Science & Medicine. 2022 [acceso: 01/02/2022]; 294: 114716. DOI: 10.1016/j.socscimed.2022.114716
Published
How to Cite
Issue
Section
License
Authors who have publications with this Journal accept the following terms:
- The authors will retain their copyright and guarantee the Journal the right of first publication of their work, which will simultaneously be subject to the Creative Commons Attribution License. The content presented here can be shared, copied and redistributed in any medium or format; Can be adapted, remixed, transformed or created from the material, using the following terms: Attribution (giving appropriate credit to the work, providing a link to the license, and indicating if changes have been made); non-commercial (you cannot use the material for commercial purposes) and share-alike (if you remix, transform or create new material from this work, you can distribute your contribution as long as you use the same license as the original work).
- The authors may adopt other non-exclusive license agreements for the distribution of the published version of the work (for example: depositing it in an institutional electronic archive or publishing it in a monographic volume) as long as the initial publication in this Journal is indicated.
- Authors are allowed and recommended to disseminate their work through the Internet (e.g., in institutional electronic archives or on their website) before and during the submission process, which can produce interesting exchanges and increase citations. of the published work.