Factores pronósticos de mortalidad intrahospitalaria en pacientes ancianos con infección por COVID 19 ingresados a un hospital de tercer nivel en Bogotá, Colombia
ilustraciones, gráficas, tablas
- Autores:
-
Londoño Morales, Viviana Andrea
- Tipo de recurso:
- Fecha de publicación:
- 2022
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/81004
- Palabra clave:
- 610 - Medicina y salud
Infecciones por Coronavirus
Mortalidad
Salud del Anciano
Coronavirus Infections
Mortality
Health of the Elderly
Mortalidad
COVID -19
Fragilidad
Anciano frágil
Síndrome de dificultad respiratoria aguda
COVID-19
Mortality
Acute respiratory distress syndrome
Kidney injury
Frailty
Frail elderly
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional
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| dc.title.spa.fl_str_mv |
Factores pronósticos de mortalidad intrahospitalaria en pacientes ancianos con infección por COVID 19 ingresados a un hospital de tercer nivel en Bogotá, Colombia |
| dc.title.translated.eng.fl_str_mv |
Prognostic factors for in-hospital mortality in elderly patients with COVID 19 infection admitted to a hospital in Bogotá, Colombia |
| title |
Factores pronósticos de mortalidad intrahospitalaria en pacientes ancianos con infección por COVID 19 ingresados a un hospital de tercer nivel en Bogotá, Colombia |
| spellingShingle |
Factores pronósticos de mortalidad intrahospitalaria en pacientes ancianos con infección por COVID 19 ingresados a un hospital de tercer nivel en Bogotá, Colombia 610 - Medicina y salud Infecciones por Coronavirus Mortalidad Salud del Anciano Coronavirus Infections Mortality Health of the Elderly Mortalidad COVID -19 Fragilidad Anciano frágil Síndrome de dificultad respiratoria aguda COVID-19 Mortality Acute respiratory distress syndrome Kidney injury Frailty Frail elderly |
| title_short |
Factores pronósticos de mortalidad intrahospitalaria en pacientes ancianos con infección por COVID 19 ingresados a un hospital de tercer nivel en Bogotá, Colombia |
| title_full |
Factores pronósticos de mortalidad intrahospitalaria en pacientes ancianos con infección por COVID 19 ingresados a un hospital de tercer nivel en Bogotá, Colombia |
| title_fullStr |
Factores pronósticos de mortalidad intrahospitalaria en pacientes ancianos con infección por COVID 19 ingresados a un hospital de tercer nivel en Bogotá, Colombia |
| title_full_unstemmed |
Factores pronósticos de mortalidad intrahospitalaria en pacientes ancianos con infección por COVID 19 ingresados a un hospital de tercer nivel en Bogotá, Colombia |
| title_sort |
Factores pronósticos de mortalidad intrahospitalaria en pacientes ancianos con infección por COVID 19 ingresados a un hospital de tercer nivel en Bogotá, Colombia |
| dc.creator.fl_str_mv |
Londoño Morales, Viviana Andrea |
| dc.contributor.advisor.spa.fl_str_mv |
Espinosa Almanza, Carmelo José López Ramírez, Jorge Hernán |
| dc.contributor.author.spa.fl_str_mv |
Londoño Morales, Viviana Andrea |
| dc.subject.ddc.spa.fl_str_mv |
610 - Medicina y salud |
| topic |
610 - Medicina y salud Infecciones por Coronavirus Mortalidad Salud del Anciano Coronavirus Infections Mortality Health of the Elderly Mortalidad COVID -19 Fragilidad Anciano frágil Síndrome de dificultad respiratoria aguda COVID-19 Mortality Acute respiratory distress syndrome Kidney injury Frailty Frail elderly |
| dc.subject.decs.spa.fl_str_mv |
Infecciones por Coronavirus Mortalidad Salud del Anciano |
| dc.subject.decs.eng.fl_str_mv |
Coronavirus Infections Mortality Health of the Elderly |
| dc.subject.proposal.spa.fl_str_mv |
Mortalidad COVID -19 Fragilidad Anciano frágil Síndrome de dificultad respiratoria aguda |
| dc.subject.proposal.eng.fl_str_mv |
COVID-19 Mortality Acute respiratory distress syndrome Kidney injury Frailty Frail elderly |
| description |
ilustraciones, gráficas, tablas |
| publishDate |
2022 |
| dc.date.accessioned.none.fl_str_mv |
2022-02-17T16:29:05Z |
| dc.date.available.none.fl_str_mv |
2022-02-17T16:29:05Z |
| dc.date.issued.none.fl_str_mv |
2022-02-17 |
| dc.type.spa.fl_str_mv |
Trabajo de grado - Especialidad Médica |
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info:eu-repo/semantics/masterThesis |
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info:eu-repo/semantics/acceptedVersion |
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Text |
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http://purl.org/redcol/resource_type/TM |
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acceptedVersion |
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https://repositorio.unal.edu.co/handle/unal/81004 |
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Universidad Nacional de Colombia |
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Repositorio Institucional Universidad Nacional de Colombia |
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https://repositorio.unal.edu.co/ |
| url |
https://repositorio.unal.edu.co/handle/unal/81004 https://repositorio.unal.edu.co/ |
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Universidad Nacional de Colombia Repositorio Institucional Universidad Nacional de Colombia |
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spa |
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Bireme |
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A., & Gill, T. M. (2018). Pre-intensive care unit cognitive status, subsequent disability, and new nursing home admission among critically ill older adults. In Annals of the American Thoracic Society (Vol. 15, Issue 5, pp. 622–629). American Thoracic Society. https://doi.org/10.1513/AnnalsATS.201709-702OC Flaatten, H., Oeyen, S., & deLange, D. W. (2018). Predicting outcomes in very old ICU patients: time to focus on the past? In Intensive Care Medicine (Vol. 44, Issue 8, pp. 1344–1345). Springer Verlag. https://doi.org/10.1007/s00134-018-5262-1 Formiga, F., Ortega, C., Cabot, C., Porras, F., Mascaro, J., & Pujol, R. (2006). Interobserver concordance in functional assessment by Barthel index. Revista Clinica Espanola, 206(5), 230–232. https://doi.org/10.1016/s0014-2565(06)72781-3 Gao, S; Jiang, F; Jin, Wei; Shi, Y; Yang, L; Xia, Y; Jia, L; Wang, Bo; Lin, Han; Cai, Yin; Xia, Z; Peng,J. ( 2020). Rick factors influencing the prognosis of elderly patients infected with COVID-19: a clinical retrospective study in Wuhan, China. Aging. 12(13): 12504–12516. doi: 10.18632/aging.103631 Garrouste-Orgeas, M., Timsit, J. F., Montuclard, L., Colvez, A., Gattolliat, O., Philippart, F., Rigal, G., Misset, B., & Carlet, J. (2006). Decision-making process, outcome, and 1-year quality of life of octogenarians referred for intensive care unit admission. Intensive Care Medicine, 32(7), 1045–1051. https://doi.org/10.1007/s00134-006-0169-7 Gill, T. M., Allore, H. G., Gahbauer, E. A., & Murphy, T. E. (2010). Change in disability after hospitalization or restricted activity in older persons. JAMA - Journal of the American Medical Association, 304(17), 1919–1928. https://doi.org/10.1001/jama.2010.1568 Gómez-Belda, A. B., Fernández-Garcés, M., Mateo-Sanchis, E., Madrazo, M., Carmona, M., Piles-Roger, L., & Artero, A. (2021). COVID-19 in older adults: What are the differences with younger patients? 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The Dilemma of Coronavirus Disease 2019, Aging, and Cardiovascular Disease: Insights From Cardiovascular Aging Science. https://doi.org/10.4266/kjccm Meftahi, G. H., Jangravi, Z., Sahraei, H., & Bahari, Z. (2020). The possible pathophysiology mechanism of cytokine storm in elderly adults with COVID-19 infection: the contribution of “inflame-aging.” In Inflammation Research (Vol. 69, Issue 9, pp. 825–839). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/s00011-020-01372-8 Mitnitski, A., Howlett, S. E., & Rockwood, K. (2017). Heterogeneity of Human Aging and Its Assessment. Journals of Gerontology - Series A Biological Sciences and Medical Sciences, 72(7), 877–884. https://doi.org/10.1093/gerona/glw089 Mori, H., Obinata, H., Murakami, W., Tatsuya, K., Sasaki, H., Miyake, Y., Taniguchi, Y., Ota, S., Yamaga, M., Suyama, Y., & Tamura, K. (2021). Comparison of COVID-19 disease between young and elderly patients: Hidden viral shedding of COVID-19. 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K., Canonico, A., Hopkins, R. O., Bernard, G. R., Dittus, R. S., & Ely, E. W. (2013). Long-Term Cognitive Impairment after Critical Illness. New England Journal of Medicine, 369(14), 1306–1316. https://doi.org/10.1056/nejmoa1301372 Paul, J. A., Whittington, R. A., & Baldwin, M. R. (2020). Critical Illness and the Frailty Syndrome: Mechanisms and Potential Therapeutic Targets. Anesthesia and Analgesia, 1545–1555. https://doi.org/10.1213/ANE.0000000000004792 Perrotta, F., Corbi, G., Mazzeo, G., Boccia, M., Aronne, L., D’Agnano, V., Komici, K., Mazzarella, G., Parrella, R., & Bianco, A. (2020a). COVID-19 and the elderly: insights into pathogenesis and clinical decision-making. In Aging Clinical and Experimental Research (Vol. 32, Issue 8, pp. 1599–1608). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/s40520-020-01631-y Quah, P., Li, A., Phua, J., & Phua, J. (2020). Mortality rates of patients with COVID-19 in the intensive care unit: A systematic review of the emerging literature. In Critical Care (Vol. 24, Issue 1). BioMed Central Ltd. https://doi.org/10.1186/s13054-020-03006-1 Ren, L. L., Wang, Y. M., Wu, Z. Q., Xiang, Z. C., Guo, L., Xu, T., Jiang, Y. Z., Xiong, Y., Li, Y. J., Li, X. W., Li, H., Fan, G. H., Gu, X. Y., Xiao, Y., Gao, H., Xu, J. Y., Yang, F., Wang, X. M., Wu, C., … Wang, J. W. (2020). Identification of a novel coronavirus causing severe pneumonia in human: a descriptive study. Chinese Medical Journal, 133(9), 1015–1024. https://doi.org/10.1097/CM9.0000000000000722 Richardson, S., Hirsch, J. S., Narasimhan, M., Crawford, J. M., McGinn, T., Davidson, K. W., Barnaby, D. P., Becker, L. B., Chelico, J. D., Cohen, S. L., Cookingham, J., Coppa, K., Diefenbach, M. A., Dominello, A. J., Duer-Hefele, J., Falzon, L., Gitlin, J., Hajizadeh, N., Harvin, T. G., … Zanos, T. P. (2020). Presenting Characteristics, Comorbidities, and Outcomes among 5700 Patients Hospitalized with COVID-19 in the New York City Area. JAMA - Journal of the American Medical Association, 323(20), 2052–2059. https://doi.org/10.1001/jama.2020.6775 Rothman, K., Greenland, S., Lash T. (2008) Modern Epidemiology. Philadelphia, USA: Lippincott Williams & Wilkins. Saavedra Trujillo, C. H. (2020). Consenso colombiano de atención, diagnóstico y manejo de la infección por SARS-COV-2/COVID 19 en establecimientos de atención de la salud. Recomendaciones basadas en consenso de expertos e informadas en la evidencia. Infectio, 24(3), 1. https://doi.org/10.22354/in.v24i3.851 Sacanella, E., Pérez-Castejón, J. M., Nicolás, J. M., Masanés, F., Navarro, M., Castro, P., & López-Soto, A. (2011). Functional status and quality of life 12 months after discharge from a medical ICU in healthy elderly patients: A prospective observational study. Critical Care, 15(2). https://doi.org/10.1186/cc10121 Seligman, B., Charest, B., Gagnon, D. R., & Orkaby, A. R. (2021). Trends in 30-day mortality from COVID-19 among older adults in the Veterans Affairs system. In Journal of the American Geriatrics Society (Vol. 69, Issue 6, pp. 1448–1450). Blackwell Publishing Inc. https://doi.org/10.1111/jgs.17127 Sharma, J., Rajput, R., Bhatia, M., Arora, P., & Sood, V. (2021). Clinical Predictors of COVID-19 Severity and Mortality: A Perspective. Frontiers in Cellular and Infection Microbiology, 11. https://doi.org/10.3389/fcimb.2021.674277 Stavem, K., Hoel, H., Skjaker, S. A., & Haagensen, R. (2017). Charlson comorbidity index derived from chart review or administrative data: Agreement and prediction of mortality in intensive care patients. Clinical Epidemiology, 9, 311–320. https://doi.org/10.2147/CLEP.S133624 United Nations, Department of Economic and Social Affairs, Population Division (2020). World Population Ageing 2019 (ST/ESA/SER.A/444). 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Prognostic factors associated with mortality risk and disease progression in 639 critically ill patients with COVID-19 in Europe: Initial report of the international RISC-19-ICU prospective observational cohort. EClinicalMedicine, 25. https://doi.org/10.1016/j.eclinm.2020.100449 World Health Organization.(2020).General’s opening remarks at the Mission briefing on COVID- 19 – 12 March 2020. Disponible en: https://www.who.int/dg/speeches/detail/who-director-general- s-opening-remarks-at-the-mission-briefing-on-covid-19-12-march-2020. World Health Organization..WHO Coronavirus (COVID-19) Dashboard,Situation by Region, Country, Territory & Area. (17 de julio de 2021). Wordl health Organization. https://covid19.who.int/ World Health Organization. (2020). Critical preparedness, readiness and response actions for COVID-19: interim guidance, 22 March 2020. World Health Organization. https://apps.who.int/iris/handle/10665/331511. Wunsch, H., Guerra, C., Barnato, A. E., Angus, D. C., Li, G., & Linde-Zwirble, W. T. (n.d.). Three-Year Outcomes for Medicare Beneficiaries Who Survive Intensive Care. http://jama.jamanetwork.com/ Xu, J., Yang, X., Yang, L., Zou, X., Wang, Y., Wu, Y., Zhou, T., Yuan, Y., Qi, H., Fu, S., Liu, H., Xia, J., Xu, Z., Yu, Y., Li, R., Ouyang, Y., Wang, R., Ren, L., Hu, Y., … Shang, Y. (2020). Clinical course and predictors of 60-day mortality in 239 critically ill patients with COVID-19: A multicenter retrospective study from Wuhan, China. Critical Care, 24(1). https://doi.org/10.1186/s13054-020-03098-9 Yang, X., Yu, Y., Xu, J., Shu, H., Xia, J., Liu, H., Wu, Y., Zhang, L., Yu, Z., Fang, M., Yu, T., Wang, Y., Pan, S., Zou, X., Yuan, S., & Shang, Y. (2020). Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study. 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Universidad Nacional de Colombia |
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Bogotá - Medicina - Especialidad en Geriatría |
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Atribución-NoComercial-SinDerivadas 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Espinosa Almanza, Carmelo José0c9ec38a850d6cc74f20b3a041d1ecc6600López Ramírez, Jorge Hernánf0c378e36ea73dfa7ff2ed62b81a2c6eLondoño Morales, Viviana Andrea46e22232111e61d48b8b00646d34f0382022-02-17T16:29:05Z2022-02-17T16:29:05Z2022-02-17https://repositorio.unal.edu.co/handle/unal/81004Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilustraciones, gráficas, tablasEl presente estudio tiene como objetivo establecer los factores pronósticos asociados al desarrollo de muerte intrahospitalaria en pacientes adultos mayores de 65 años con infección por SARS- CoV2/COVID -19 confirmado en el Hospital Universitario Nacional de Colombia. Métodos: Este es un estudio observacional analítico. Se evaluaron pacientes adultos mayores de 65 años con diagnóstico de infección por SARS-CoV2/COVID-19 confirmado. Los pacientes fueron estratificados por estado de fragilidad y funcionalidad. La mortalidad se determinó a los 28 días y se creó un modelo de regresión logística incondicional, ajustando por factores de confusión. La significancia estadística se estableció en p ≤ 0,05. Resultados: 170 pacientes fueron estratificados en sobrevivientes y no sobrevivientes . El porcentaje de hombres en los sobrevivientes y no sobrevivientes fue similar, sin diferencias significativas en la edad promedio entre ambos grupos, tampoco en relación a la presencia de síntomas. En el análisis multivariado, las siguientes variables predijeron la ocurrencia del desenlace mortalidad a 28 días: fragilidad, antecedente de cáncer, SDRA, lesión renal aguda y SOFA. Conclusiones: La tasa mortalidad a 28 días en pacientes adultos mayores de 65 años con infección por COVID 19 en este estudio fue de 38%.Al ajustar por antecedente de cáncer, desarrollo de lesión renal aguda, SDRA, puntuación SOFA y PAFI al ingreso, la fragilidad se asoció con una mayor mortalidad en la población estudiada. (Texto tomado de la fuente).The present study aims to establish the prognostic factors associated with the development of in-hospital death in adult patients over 65 years of age with confirmed SARS-CoV2/COVID-19 infection at the National University Hospital of Colombia. Methods: This is an analytical observational study. Adult patients older than 65 years with a confirmed diagnosis of SARS-CoV2/COVID-19 infection was evaluated. The patients were stratified by state of frailty and functionality. Mortality will be reduced at 28 days and an unconditional logistic regression model will be created, adjusting for confounding factors. Statistical significance is set at p ≤ 0.05. Results: There were 170 patients, they were stratified into survivors and non-survivors. The percentage of men in the survivors and non-survivors was similar, without significant differences in the average age between both groups, in relation to the presence of symptoms. In the multivariate analysis, the following variables predicted the incidence of the 28-day mortality outcome: frailty, history of cancer, ARDS, acute kidney injury and SOFA. Conclusions: The 28-day mortality rate in adults older than 65 years with COVID 19 infection in this study was 38%. When adjusting for history of cancer, development of acute kidney injury, ARDS, SOFA score and PAFI at admission, frailty was associated with higher mortality in the study population.Incluye anexosEspecialidades MédicasEspecialista en Geriatríaxiv, 51 páginas sin numerarapplication/pdfspaUniversidad Nacional de ColombiaBogotá - Medicina - Especialidad en GeriatríaDepartamento de Medicina InternaFacultad de MedicinaBogotá, ColombiaUniversidad Nacional de Colombia - Sede Bogotá610 - Medicina y saludInfecciones por CoronavirusMortalidadSalud del AncianoCoronavirus InfectionsMortalityHealth of the ElderlyMortalidadCOVID -19FragilidadAnciano frágilSíndrome de dificultad respiratoria agudaCOVID-19MortalityAcute respiratory distress syndromeKidney injuryFrailtyFrail elderlyFactores pronósticos de mortalidad intrahospitalaria en pacientes ancianos con infección por COVID 19 ingresados a un hospital de tercer nivel en Bogotá, ColombiaPrognostic factors for in-hospital mortality in elderly patients with COVID 19 infection admitted to a hospital in Bogotá, ColombiaTrabajo de grado - Especialidad Médicainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMBogotáColombiaBiremeÁguila-Gordo, D., Martínez-del Río, J., Mazoteras-Muñoz, V., Negreira-Caamaño, M., Nieto-Sandoval Martín de la Sierra, P., & Piqueras-Flores, J. (2021). Mortality and associated prognostic factors in elderly and very elderly hospitalized patients with respiratory disease COVID-19. Revista Espanola de Geriatria y Gerontologia, 56(5), 259–267. https://doi.org/10.1016/j.regg.2020.09.006Beil, M., Sviri, S., Flaatten, H., de Lange, D. W., Jung, C., Szczeklik, W., Leaver, S., Rhodes, A., Guidet, B., & van Heerden, P. V. (2021). On predictions in critical care: The individual prognostication fallacy in elderly patients. In Journal of Critical Care (Vol. 61, pp. 34–38). W.B. Saunders. https://doi.org/10.1016/j.jcrc.2020.10.006Brandberg, C., Blomqvist, H., & Jirwe, M. (2013). What is the importance of age on treatment of the elderly in the intensive care unit? Acta Anaesthesiologica Scandinavica, 57(6), 698–703. https://doi.org/10.1111/aas.12073Brieghel, C., Ellekvist, P., Lund, M. L., Søborg, C., Schwartz Walsted, E., Thomsen, J. J., Biering-Sørensen, T., Mohr, T., Knop, F. K., & Ravn, P. (2021). 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New England Journal of Medicine, 382(8), 727–733. https://doi.org/10.1056/nejmoa2001017EstudiantesInvestigadoresMaestrosPersonal de apoyo escolarORIGINAL1088314019.2022.pdf1088314019.2022.pdfTesis de Especialidad en Geriatríaapplication/pdf1227884https://repositorio.unal.edu.co/bitstream/unal/81004/1/1088314019.2022.pdf00224a6be17345f6e34a71551d9076e3MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-84074https://repositorio.unal.edu.co/bitstream/unal/81004/2/license.txt8153f7789df02f0a4c9e079953658ab2MD52THUMBNAIL1088314019.2022.pdf.jpg1088314019.2022.pdf.jpgGenerated Thumbnailimage/jpeg5364https://repositorio.unal.edu.co/bitstream/unal/81004/3/1088314019.2022.pdf.jpgde30f0ef8e461dc1206f9430468a362fMD53unal/81004oai:repositorio.unal.edu.co:unal/810042024-08-03 23:10:06.344Repositorio Institucional Universidad Nacional de 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