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Factores de riesgo cardiovasculares y metabólicos asociados con la aparición de síndrome poscovid: un estudio de cohorte retrospectivo

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datacite.rightshttp://purl.org/coar/access_right/c_abf2
dc.contributor.authorRaad Sarabia, Maria Isabel
dc.contributor.authorAroca-Martinez, Gustavo
dc.contributor.authorCassiani Miranda, Carlos
dc.contributor.authorTirado Otálvaro, Andrés Felipe
dc.contributor.authorDaza Arnedo, Rodrigo
dc.contributor.authorPorto-Corbacho, Daniel
dc.contributor.authorMondol Almeida, Zulay
dc.contributor.authorJuan Guardela , Emilio
dc.contributor.authorPINEDA PATERNINA, MARIO
dc.contributor.authorLlanos Almario, Kevin Andrés
dc.contributor.authorVelasco Gómez, Astrid
dc.contributor.authorGomez Alvarez, Libardo Jesus
dc.contributor.authorBenavides Guillem, María
dc.contributor.authorRico-Fontalvo, Jorge
dc.date.accessioned2024-09-30T22:58:02Z
dc.date.available2024-09-30T22:58:02Z
dc.date.issued2024
dc.description.abstractContexto: el síndrome metabólico (SM) se define como un conjunto de factores de riesgo que aumentan la probabilidad de padecer enfermedad cardiovascular. El síndrome poscovid es una complicación a largo plazo de la infección por COVID-19, definida por la Organización Mundial de la Salud (OMS) como la perpetuación de los síntomas de la enfermedad aguda más allá de 12 semanas sin otra causa aparente. La asociación entre las enfermedades cardiometabólicas y las complicaciones de la infección aguda por SARSCoV- 2 ha estado clara desde el principio, no siendo así con el síndrome poscovid. Objetivo: determinar la asociación existente entre la presencia de enfermedades cardiovasculares en el momento de la infección aguda por SARS-CoV-2 y el desarrollo de síndrome poscovid. Metodología: estudio observacional de cohortes y retrospectivo, con un total de 278 pacientes, 140 en la cohorte expuesta y 138 en la cohorte no expuesta, para establecer la asociación entre la presencia de enfermedades cardiovasculares en la fase aguda de infección por COVID-19 y el síndrome poscovid. Resultados: en la cohorte expuesta, el 74,1 % presentó el síndrome poscovid, mientras que en la cohorte no expuesta el 25,9 % presentó dicho desenlace. Luego del análisis multivariado, se estableció una asociación estadísticamente significativa entre el diagnóstico de síndrome metabólico en la fase aguda de la infección por COVID-19 y el desarrollo de síndrome poscovid, con un RRa de 3,18, IC 95 % 1,42-7,14; p = 0,005. Conclusiones: se logró establecer una asociación clara entre la presencia del síndrome metabólico en la fase de infección aguda por COVID-19 y la aparición de síndrome poscovid.spa
dc.description.abstractBackground: Metabolic syndrome (MS) is defined as a set of risk factors that increase the likelihood of cardiovascular disease. Post-COVID syndrome is a long-term complication of COVID-19 infection defined by the WHO as the perpetuation of acute disease symptoms beyond 12 weeks with no other apparent cause. The association between cardiometabolic diseases and complications of acute SARS-CoV 2 infection has been clear from the beginning, but this is not the case with post-COVID syndrome. Purpose: To determine the association between the presence of cardiovascular diseases at the time of acute SARS-CoV-2 infection and the development of post-COVID syndrome. Methods: Observational, cohort, retrospective study with a total of 278 patients, 140 in the exposed cohort and 138 in the unexposed cohort, to establish the association between the presence of cardiovascular diseases in the acute phase of COVID-19 infection and post-COVID syndrome. Results: In the exposed cohort, 74.1% presented post-COVID syndrome, while in the unexposed cohort, 25.9% presented this outcome. After multivariate analysis, a statistically significant association was established between the diagnosis of metabolic syndrome in the acute phase of COVID-19 infection and the development of post-COVID syndrome with an RRa 3.18, 95% CI 1.42-7.14 p 0.005. Conclusions: A clear association was established between the presence of metabolic syndrome in the acute phase of COVID-19 infection and the appearance of post-COVID syndrome.eng
dc.format.mimetypepdf
dc.identifier.citationRaad-Sarabia M, Aroca-Martínez G, Cassiani Miranda C, Ramos-Clason E, Tirado Otálvaro A, Daza Arnedo R, et al. Factores de riesgo cardiovasculares y metabólicos asociados con la aparición de síndrome poscovid: un estudio de cohorte retrospectivo. Rev Colomb Endocrinol Diabet Metab. 2024;11(3):e878. https://doi.org/10.53853/encr.11.3.878
dc.identifier.doihttps://doi.org/10.53853/encr.11.3.878
dc.identifier.issn23899786
dc.identifier.issn28055853 (Electrónico)
dc.identifier.urihttps://hdl.handle.net/20.500.12442/15720
dc.identifier.urlhttps://revistaendocrino.org/index.php/rcedm/article/view/878/1249
dc.language.isoeng
dc.publisherAsociación Colombiana de Endocrinología, Diabetes y Metabolismospa
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United Stateseng
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.sourceRevista Colombiana de Endocrinología, Diabetes y Metabolismospa
dc.sourceVol. 11 No. 3 Año 2024spa
dc.subjectInfección por COVID-19spa
dc.subjectSíndrome metabólicospa
dc.subjectSíndrome poscovidspa
dc.subjectDiabetesspa
dc.subjectHipertensiónspa
dc.subjectDislipidemiaspa
dc.subjectObesidadspa
dc.subject.keywordsCOVID-19 infectioneng
dc.subject.keywordsMetabolic syndromeeng
dc.subject.keywordsPost-COVID-19 syndromeeng
dc.subject.keywordsDiabeteseng
dc.subject.keywordsHypertensioneng
dc.subject.keywordsDyslipidemiaeng
dc.subject.keywordsObesityeng
dc.titleFactores de riesgo cardiovasculares y metabólicos asociados con la aparición de síndrome poscovid: un estudio de cohorte retrospectivospa
dc.type.driverinfo:eu-repo/semantics/article
dc.type.spaArtículo científico
dcterms.referencesHuang PL. A comprehensive definition for metabolic syndrome. Dis Model Mech. 2009;2(5-6):231-7. https://doi. org/10.1242/dmm.001180eng
dcterms.referencesNational Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation. 2002;106(25):3143- 421.eng
dcterms.referencesGrundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, et al. Diagnosis and management of the metabolic syndrome: An American Heart Association/ National Heart, Lung, and Blood Institute scientific statement. Circulation. 2005;112(17):2735-52. https://doi. org/10.1161/circulationaha.105.169404eng
dcterms.referencesPájaro-Galvis N, Abuabara-Franco E, Leal- Martínez V, Serpa-Díaz D, Rico-Fontalvo J, Daza-Arnedo R, et al. Anticoagulación en pacientes con infección por COVID-19. Salud UIS. 2020;52(4):422-30. https:// doi.org/10.18273/revsal.v52n4-2020009spa
dcterms.referencesGuan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, et al. clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;382(18):1708-20. https:// doi.org/10.1056/nejmoa2002032eng
dcterms.referencesDatta SD, Talwar A, Lee JT. A proposed framework and timeline of the spectrum of disease due to SARS-CoV-2 infection: illness beyond acute infection and public health implications. JAMA. 2020;324(22):2251-2.eng
dcterms.referencesSoriano JB, Murthy S, Marshall JC, Relan P, Diaz JV, WHO Clinical Case Definition Working Group on Post- COVID-19 Condition. A clinical case definition of post COVID-19 condition by a Delphi consensus. Lancet Infect Dis. 2022;22(4):e102-7. https://doi. org/10.1016/s1473-3099(21)00703-9eng
dcterms.referencesPavli A, Theodoridou M, Maltezou H. Post-COVID syndrome: incidence, clinical spectrum, and challenges for primary healthcare professionals. Arch Med Res. 2021;52(6):575-81. https://doi. org/10.1016/j.arcmed.2021.03.010eng
dcterms.referencesBaquero Rodríguez R, Yomayusa N, González C, Yama E, Vargas JG, Rico J, et al. Consenso colombiano de expertos sobre recomendaciones informadas en la evidencia para la prevención, diagnóstico y manejo de la infección por SARSCoV- 2/COVID-19 en paciente pediátrico con enfermedad renal crónica o lesión renal aguda asociada a COVID-19. Rev. Colomb. Nefrol. 2020;7(2)50-69. https:// doi.org/10.22265/acnef.7.Supl.2.488spa
dcterms.referencesSalamanna F, Veronesi F, Martini L, Landini MP, Fini M. Post-COVID-19 syndrome: the persistent symptoms at the postviral stage of the disease: a systematic review of the current data. Front Med. 2021;8:653516. https://doi.org/10.3389/ fmed.2021.653516eng
dcterms.referencesMaltezou HC, Pavli A, Tsakris A. Post- COVID syndrome: an insight on its pathogenesis. Vaccines. 2021;9(5):497. https://doi.org/10.3390%2Fvaccines9050497eng
dcterms.referencesFériz-Bonelo KM, Iriarte-Durán MB, Giraldo O, Parra-Lara LG, Martínez V, Urbano MA, et al. Diabetes and stress hyperglycemia in SARS-CoV-2 infection. Biomédica. 2024;44(supl. 1):73-88. https://doi.org/10.7705/biomedica.7095spa
dcterms.referencesLopera Vargas JM, Rico Fontalvo JE, Melgarejo E, Castillo Barrios GA, Ramírez Rincón A, Gómez AM, et al. Efecto de terapias farmacológicas para el control glicémico en pacientes con diabetes mellitus tipo 2 en los desenlaces vasculares. Rev Colom Nefrol. 2020;7(1):44-59. https:// doi.org/10.22265/acnef.7.1.372spa
dcterms.referencesGonzalez C, Yama E, Yomayusa N, Vargas J, Rico J, Ariza A, et al. Consenso colombiano de expertos sobre recomendaciones informadas en la evidencia para la prevención, diagnóstico y manejo de la lesión renal aguda por SARSCoV- 2/COVID-19. Rev Colom Nefrol. 2020;7(supl. 2). https://doi.org/10.22265/ acnef.7.supl.2.73spa
dcterms.referencesAroca-Martínez G, Avendaño-Echavez L, Garcia C, Ripoll D, Dianda D, Cadena- Bonfanti A, et al. Renal tubular dysfunction in COVID-19 patients. Ir J Med Sci. 2023;192(2):923-7. https://doi.org/10.100 7%2Fs11845-022-02993-0eng
dcterms.referencesKlok FA, Boon GJ, Barco S, Endres M, Miranda Geelhoed JJ, Knauss S, et al. The post-COVID-19 functional status scale: a tool to measure functional status over time after COVID-19. Eur Respir J. 2020;56(1):2001494.eng
dcterms.referencesHosmer DW, Taber S, Lemeshow S. The importance of assessing the fit of logistic regression models: a case study. Am J Public Health. 1991;81(12):1630-5. https://doi.org/10.2105/ajph.81.12.1630eng
dcterms.referencesBastos LS, de Vasconcellos Carvalhaes de Oliveira R, de Souza Velasque L. Obtaining adjusted prevalence ratios from logistic regression models in crosssectional studies. Cad Saude Publica. 2015;31(3):487-95.eng
dcterms.referencesAlRasheed MM, Al-Aqeel S, Aboheimed GI, AlRasheed NM, Abanmy NO, Alhamid GA, et al. Quality of life, fatigue, and physical symptoms poscovid condition: a cross-sectional comparative study. Healthcare. 2023;11(11):1660. https:// doi.org/10.3390/healthcare11111660eng
dcterms.referencesLoosen SH, Ole Jensen BE, Tanislav C, Luedde T, Roderburg C, Kostev K. Obesity and lipid metabolism disorders determine the risk for development of long COVID syndrome: a cross-sectional study from 50,402 COVID-19 patients. Infection. 2022;50(5):1165-70. https://doi. org/10.1007/s15010-022-01784-0eng
dcterms.referencesFernández-de-las-Peñas C, Torres- Macho J, Elvira-Martínez CM, Molina- Trigueros LJ, Sebastián-Viana T, Hernández-Barrera V. Obesity is associated with a greater number of long term poscovid symptoms and poor sleep quality: a multicentre case-control study. Int J Clin Pract. 2021;75(12):e14917. https://doi.org/10.1111/ijcp.14917eng
dcterms.referencesVimercati L, De Maria L, Quarato M, Caputi A, Gesualdo L, Migliore G, et al. Association between long COVID and overweight/ obesity. J Clin Med. 2021;10(18):4143. https://doi.org/10.3390/jcm10184143eng
dcterms.referencesFernández-de-las-Penas C, Guijarro C, Torres-Macho J, Velasco-Arribas M, Plaza- Canteli S, Hernández-Barrera V, et al. Diabetes and the risk of long-term poscovid symptoms. Diabetes. 2021;70(12):2917- 21. https://doi.org/10.2337/db21-0329eng
dcterms.referencesAugustin M, Schommers P, Stecher M, Dewald F, Gieselmann L, Gruell H, et al. Post-COVID syndrome in nonhospitalised patients with COVID-19: a longitudinal prospective cohort study. Lancet Reg Health Eur. 2021;6:100122. https://doi.org/10.1016/j.lanepe.2021.100122eng
dcterms.referencesSudre CH, Murray B, Varsavsky T, Graham MS, Penfold RS, Bowyer RC, et al. Attributes and predictors of long COVID. Nat Med. 2021;27(4):626-31. https://doi. org/10.1038/s41591-021-01292-yeng
dcterms.referencesAlkodaymi MS, Omrani OA, Fawzy NA, Shaar BA, Almamlouk R, Riaz M, et al. Prevalence of post-acute COVID-19 syndrome symptoms at different follow-up periods: a systematic review and meta-analysis. Clin Microbiol Infect. 2022;28(5):657-66. https://doi.org/10.1016/j.cmi.2022.01.014eng
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