Mortalidad en pacientes de 70 años o más, ingresados a unidad de cuidados intensivos
Introducción: la edad avanzada como característica biológica no modificable, la edad ha sido considerada por algunos como un criterio aislado de selección para el ingreso de pacientes a las unidades de cuidado intensivo (UCI), desconociendo que se trata de una población heterogénea con diferentes po...
- Autores:
-
Ocaziónez Jiménez, Jesús Enrique
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad Autónoma de Bucaramanga - UNAB
- Repositorio:
- Repositorio UNAB
- Idioma:
- spa
- OAI Identifier:
- oai:repository.unab.edu.co:20.500.12749/7057
- Acceso en línea:
- http://hdl.handle.net/20.500.12749/7057
- Palabra clave:
- Medical sciences
Health sciences
Critical care medicine
Patient monitoring
Elderly
Intensive care unit
Critical care
Mortality
Risk factors
Human life cycle
Adulthood
Emergency medicine
Ciencias médicas
Cuidados intensivos (Medicina)
Monitoreo de pacientes
Ciclo vital humano
Edad adulta
Medicina de urgencias
Ciencias de la salud
Anciano
Vejez
Unidad de cuidado intensivo
Cuidado crítico
Mortalidad
Factores de riesgo
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/2.5/co/
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dc.title.spa.fl_str_mv |
Mortalidad en pacientes de 70 años o más, ingresados a unidad de cuidados intensivos |
dc.title.translated.eng.fl_str_mv |
Mortality in patients aged 70 years and over, admitted to the intensive care unit |
title |
Mortalidad en pacientes de 70 años o más, ingresados a unidad de cuidados intensivos |
spellingShingle |
Mortalidad en pacientes de 70 años o más, ingresados a unidad de cuidados intensivos Medical sciences Health sciences Critical care medicine Patient monitoring Elderly Intensive care unit Critical care Mortality Risk factors Human life cycle Adulthood Emergency medicine Ciencias médicas Cuidados intensivos (Medicina) Monitoreo de pacientes Ciclo vital humano Edad adulta Medicina de urgencias Ciencias de la salud Anciano Vejez Unidad de cuidado intensivo Cuidado crítico Mortalidad Factores de riesgo |
title_short |
Mortalidad en pacientes de 70 años o más, ingresados a unidad de cuidados intensivos |
title_full |
Mortalidad en pacientes de 70 años o más, ingresados a unidad de cuidados intensivos |
title_fullStr |
Mortalidad en pacientes de 70 años o más, ingresados a unidad de cuidados intensivos |
title_full_unstemmed |
Mortalidad en pacientes de 70 años o más, ingresados a unidad de cuidados intensivos |
title_sort |
Mortalidad en pacientes de 70 años o más, ingresados a unidad de cuidados intensivos |
dc.creator.fl_str_mv |
Ocaziónez Jiménez, Jesús Enrique |
dc.contributor.advisor.spa.fl_str_mv |
Meléndez Flórez, Héctor Julio |
dc.contributor.author.spa.fl_str_mv |
Ocaziónez Jiménez, Jesús Enrique |
dc.contributor.cvlac.*.fl_str_mv |
Meléndez Flórez, Héctor Julio [0000320609] |
dc.subject.keywords.eng.fl_str_mv |
Medical sciences Health sciences Critical care medicine Patient monitoring Elderly Intensive care unit Critical care Mortality Risk factors Human life cycle Adulthood Emergency medicine |
topic |
Medical sciences Health sciences Critical care medicine Patient monitoring Elderly Intensive care unit Critical care Mortality Risk factors Human life cycle Adulthood Emergency medicine Ciencias médicas Cuidados intensivos (Medicina) Monitoreo de pacientes Ciclo vital humano Edad adulta Medicina de urgencias Ciencias de la salud Anciano Vejez Unidad de cuidado intensivo Cuidado crítico Mortalidad Factores de riesgo |
dc.subject.lemb.spa.fl_str_mv |
Ciencias médicas Cuidados intensivos (Medicina) Monitoreo de pacientes Ciclo vital humano Edad adulta Medicina de urgencias |
dc.subject.proposal.spa.fl_str_mv |
Ciencias de la salud Anciano Vejez Unidad de cuidado intensivo Cuidado crítico Mortalidad Factores de riesgo |
description |
Introducción: la edad avanzada como característica biológica no modificable, la edad ha sido considerada por algunos como un criterio aislado de selección para el ingreso de pacientes a las unidades de cuidado intensivo (UCI), desconociendo que se trata de una población heterogénea con diferentes posibilidades de supervivencia frente a la enfermedad crítica. Se han estudiado otros factores de riesgo de peores desenlaces médicos, como la oportunidad de la atención, la naturaleza y severidad de la enfermedad aguda, la carga de la enfermedad crónica , el estado cognitivo, la dependencia funcional, la intensidad de la atención y las complicaciones durante su estancia, entre otros. El objetivo del presente estudio fue describir la mortalidad en UCI y hospitalaria de los pacientes mayores de 70 años que ingresaron a UCI, la existencia de diferencias significativas de mortalidad entre los grupos de edad y los principales diagnósticos de ingreso y de comorbilidad de esta población. Metodología: Estudio analítico de corte trasversal que incluyó 607 pacientes mayores o iguales a 70 años ingresados a UCI de la clínica FOSCAL en un periodo de 12 meses. Las variables independientes fueron edad, sexo, comorbilidad al ingreso, tipo de admisión, diagnóstico de ingreso, estancias pre ingreso a UCI, en UCI e institucional. Se realizó un análisis descriptivo uni y bi-variado en Stata 14. Resultados: Se encontró una mortalidad en UCI del 23.89% , hospitalaria del 12,77% y general del 33.61 %, los principales diagnósticos de ingreso pertenecieron los grupos cardiovascular, infección e insuficiencia respiratoria, las patologías más asociadas pertenecieron a los grupos cardiovascular, respiratorio y endocrino metabólico y las principales causas de mortalidad se debieron a los grupos de shock, falla respiratoria e infección; la edad como riesgo biológico solo se dio al ser mayor de 85 años. Conclusiones: Existen diferencias significativas en la mortalidad según la edad entre las dos salas de hospitalización y la UCI. Se requiere considerar otros factores adicionales a la edad, a la hora de seleccionar los pacientes que ingresen a UCI. |
publishDate |
2019 |
dc.date.issued.none.fl_str_mv |
2019 |
dc.date.accessioned.none.fl_str_mv |
2020-07-27T20:38:37Z |
dc.date.available.none.fl_str_mv |
2020-07-27T20:38:37Z |
dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/masterThesis |
dc.type.local.spa.fl_str_mv |
Tesis |
dc.type.redcol.none.fl_str_mv |
http://purl.org/redcol/resource_type/TM |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12749/7057 |
dc.identifier.instname.spa.fl_str_mv |
instname:Universidad Autónoma de Bucaramanga - UNAB |
dc.identifier.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional UNAB |
dc.identifier.repourl.spa.fl_str_mv |
repourl:https://repository.unab.edu.co |
url |
http://hdl.handle.net/20.500.12749/7057 |
identifier_str_mv |
instname:Universidad Autónoma de Bucaramanga - UNAB reponame:Repositorio Institucional UNAB repourl:https://repository.unab.edu.co |
dc.language.iso.spa.fl_str_mv |
spa |
language |
spa |
dc.relation.references.spa.fl_str_mv |
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Is Survival Better at Hospitals With Higher “End-of-Life” Treatment Intensity? Med Care. 2010;48(2):125–32. 8. Cher DJ, Lenert LA, DJ C, LA L, Cher DJ, Lenert LA. Method of Medicare reimbursement and the rate of potentially ineffective care of critically ill patients. JAMA. 1997;278(12):1001–7. 9. Bagshaw SM, Webb SAR, Delaney A, George C, Pilcher D, Hart GK, et al. Very old patients admitted to intensive care in Australia and New Zealand: a multi-centre cohort analysis. Crit Care. 2009;13(2):R45. 10. Angus DC, Barnato AE, Linde-Zwirble WT, Weissfeld LA, Watson RS, Rickert T, et al. Use of intensive care at the end of life in the United States: An epidemiologic study*. Crit Care Med. 2004;32(3):638–43. 11. Halpern NA, Pastores SM, Greenstein RJ. Critical care medicine in the United States 1985–2000: An analysis of bed numbers, use, and costs*. Crit Care Med. 2004;32(6):1254–9. 12. Chelluri L, Mendelsohn AB, Belle SH, Rotondi AJ, Angus DC, Donahoe MP, et al. Hospital costs in patients receiving prolonged mechanical ventilation: Does age have an impact? Crit Care Med. 2003;31(6):1746–51. 13. Boumendil A, Aegerter P, Guidet B. Treatment intensity and outcome of patients aged 80 and older in intensive care units: A Multicenter Matched-Cohort Study. J Am Geriatr Soc. 2005;53(1):88–93. 14. Cooper LM, Linde-Zwirble WT. Medicare intensive care unit use: analysis of incidence, cost, and payment. Crit Care Med. 2004;32(11):2247–53. 15. Poses RM, McClish DK, Smith WR, Bekes C, Scott WE. Prediction of survival of critically ill patients by admission comorbidity. J Clin Epidemiol. 1996;49(7):743–7. 16. Sligl WI, Eurich DT, Marrie TJ, Majumdar SR. Only severely limited, premorbid functional status is associated with short- and long-term mortality in patients with pneumonia who are critically ill a prospective observational study. Chest. 2011;139(1):88–94. 17. Ho KM, Finn J, Knuiman M, Webb SAR. Combining multiple comorbidities with Acute Physiology Score to predict hospital mortality of critically ill patients: A linked data cohort study. Anaesthesia. 2007;62(11):1095–100. 18. Dowdy DW, Eid MP, Sedrakyan A, Mendez-Tellez PA, Pronovost PJ, Herridge MS, et al. Quality of life in adult survivors of critical illness: A systematic review of the literature. Vol. 31, Intensive Care Medicine. 2005. p. 611–20. 19. Simchen E, Sprung CL, Galai N, Zitser-Gurevich Y, Bar-Lavi Y, Gurman G, et al. Survival of critically ill patients hospitalized in and out of intensive care units under paucity of intensive care unit beds*. Crit Care Med. 2004;32(8):1654–61. 20. Copeland-Fields L, Griffin T, Jenkins T, Buckley M, Wise LC. Comparison of outcome predictions made by physicians, by nurses, and by using the mortality prediction model. Vol. 10, American Journal of Critical Care. 2001. p. 313–9. 21. Frick S, Uehlinger DE, Zuercher Zenklusen RM. Medical futility: Predicting outcome of intensive care unit patients by nurses and doctors—A prospective comparative study*. Crit Care Med. 2003;31(2):456–61. 22. Hanson LC, Danis M. Use of Life‐Sustaining Care for the Elderly. J Am Geriatr Soc. 1991;39(8):772–7. 23. Garrouste-Orgeas M, Montuclard L, Timsit J-F, Misset B, Christias M, Carlet J. Triaging patients to the ICU: a pilot study of factors influencing admission decisions and patient outcomes. Intensive Care Med. 2003;29:774–81. 24. Dragsted L, Qvist J. Epidemiology of intensive care. Int J Technol Assess Health Care. 1992;8(3):395–407. 25. Garrouste-Orgeas M, Boumendil A, Pateron D, Aergerter P, Somme D, Simon T, et al. Selection of intensive care unit admission criteria for patients aged 80 years and over and compliance of emergency and intensive care unit physicians with the selected criteria: An observational, multicenter, prospective study*. Crit Care Med. 2009;37(11). 26. Hamel MB, Davis RB, Teno JM, Knaus WA, Lynn J, Harrell F, et al. Older age, aggressiveness of care, and survival for seriously ill, hospitalized adults. SUPPORT Investigators. Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments. Ann Intern Med. 1999;131(10):721–8. 27. Kaarlola A, Tallgren M, Pettilä V. Long-term survival, quality of life, and quality-adjusted life-years among critically ill elderly patients. Crit Care Med. 2006;34(8):2120–6. 28. Somme D, Maillet J-M, Gisselbrecht M, Novara A, Ract C, Fagon J-Y. Critically ill old and the oldest-old patients in intensive care: short- and long-term outcomes. Intensive Care Med. 2003;29(12):2137–43. 29. Orwelius L, Nordlund A, Nordlund P, Simonsson E, Bäckman C, Samuelsson A, et al. Pre-existing disease: the most important factor for health related quality of life long-term after critical illness: a prospective, longitudinal, multicentre trial. Crit Care. 2010;14(2):R67. 30. Vincent JL, Moreno R. Clinical review: scoring systems in the critically ill. Crit Care. 2010;14(2):207. 31. Vosylius S, Sipylaite J, Ivaskevicius J. Determinants of outcome in elderly patients admitted to the intensive care unit. Age Ageing. 2005;34(2):157–62. 32. Farfel JM, Franca SA, Sitta MDC, Filho WJ, Carvalho CRR. Age, invasive ventilatory support and outcomes in elderly patients admitted to intensive care units. Age Ageing. 2009;38(5):515–20. 33. Belayachi J, El KM, Dendane T, Madani N, Abidi K, Abouqal R, et al. Factors predicting mortality in elderly patients admitted to a Moroccan medical intensive care unit. South African J Crit Care. 2012;28(1):22–7. 34. Fuchs L, Chronaki CE, Park S, Novack V, Baumfeld Y, Scott D, et al. ICU admission characteristics and mortality rates among elderly and very elderly patients. Intensive Care Med. 2012;38(10):1654–61. 35. Pavoni V, Gianesello L, Paparella L, Buoninsegni LT, Mori E, Gori G. Outcome and quality of life of elderly critically ill patients: An Italian prospective observational study. Arch Gerontol Geriatr. 2012;54(2):e193–8. 36. Sacanella E, Pérez-Castejón JM, Nicolás JM, Masanés F, Navarro M, Castro P, et al. Mortality in healthy elderly patients after ICU admission. Intensive Care Med. 2009;35(3):550–5. 37. Heyland D, Cook D, Bagshaw SM, Garland A, Stelfox HT, Mehta S, et al. The Very Elderly Admitted to ICU. Crit Care Med. 2015;43(7):1352–60. 38. Dennis RJ, Pérez A, Rowan K, Londoño D, Metcalfe A, Gómez C, et al. Factores asociados con la mortalidad hospitalaria en pacientes admitidos en cuidados intensivos en Colombia. Arch Bronconeumol. 2002;38(3):117–22. 39. Héctor J, Meléndez F, Fernando F. Mortalidad general y atribuible a cuidado intensivo: estudio de cohorte. 2017. 40. Ball IM, Bagshaw SM, Burns KEA, Cook DJ, Day AG, Dodek PM, et al. Pronostics des patients âgés et gravement malades en médecine et en chirurgie: une étude de cohorte multicentrique. Can J Anesth. 2017;64(3):260–9. 42. Suarez-de-la-Rica A, Castro-Arias C, Latorre J, Gilsanz F, Maseda E. Prognosis and predictors of mortality in critically ill elderly patients. Rev Esp Anestesiol Reanim. 2018;65(3):143–8. 43. Guidet B, Leblanc G, Simon T, Woimant M, Quenot JP, Ganansia O, et al. Effect of systematic intensive care unit triage on long-term mortality among critically ill elderly patients in France a randomized clinical trial. JAMA - J Am Med Assoc. 2017;318(15):1450–9. 44. P. LB, Q. M, S. C, F. L, J.-E. H, A. B, et al. Critically ill elderly patients (90 years): Clinical characteristics, outcome and financial implications. PLoS One. 2018;13(6):1–12. 45. López-Soto A, Sacanella E, Pérez Castejón JM, Nicolás JM. El anciano en la unidad de cuidados intensivos. Rev Esp Geriatr Gerontol. 2009;44(SUPPL. 1):27–33. 46. Flaatten H, De Lange DW, Morandi A, Andersen FH, Artigas A, Bertolini G, et al. The impact of frailty on ICU and 30-day mortality and the level of care in very elderly patients (≥ 80 years). Intensive Care Med. 2017;43(12):1820–8. 47. Llamas-Reyes JC, Alonso JV, Fonseca J, Santos ML, Ruiz-Cabello Jiménez M de los Á, Braniff J. Characteristics and mortality of elderly patients admitted to the Intensive Care Unit of a district hospital. Indian J Crit Care Med. 2016;20(7):391–7. 48. Orsini J, Butala A, Salomon S, Studer S, Gadhia S, Shamian B, et al. Prognostic factors associated with adverse outcome among critically ill elderly patients admitted to the intensive care unit. Geriatr Gerontol Int. 2015;15(7):889–94. 50. Flaatten H, de Lange DW, Artigas A, Bin D, Moreno R, Christensen S, et al. The status of intensive care medicine research and a future agenda for very old patients in the ICU. Intensive Care Med. 2017;43(9):1319–28. 51. Bellani G, Laffey JG, Pham T, Fan E, Brochard L, Esteban A, et al. Epidemiology, patterns of care, and mortality for patients with acute respiratory distress syndrome in intensive care units in 50 countries. JAMA - J Am Med Assoc. 2016;315(8):788–800. 52. Groll DL, To T, Bombardier C, Wright JG. The development of a comorbidity index with physical function as the outcome. J Clin Epidemiol. 2005;58(6):595–602. 53. Higgins TL, Teres D, Copes WS, Nathanson BH, Stark M, Kramer AA. Assessing contemporary intensive care unit outcome: An updated Mortality Probability Admission Model (MPM0-III). Crit Care Med. 2007;35(3):827–35. 54. Cardona-morrell M, Hillman K. Development of a tool for defining and identifying the dying patient in hospital : Criteria for Screening and Triaging to Appropriate aLternative care ( CriSTAL ). 2015;78–90. 55. Barnett K, Mercer SW, Norbury M, Watt G, Wyke S, Guthrie B. Epidemiology of multimorbidity and implications for health care, research, and medical education: A cross-sectional study. Lancet. 2012;380(9836):37–43. 56. Jankowski K, Bryden DC. Using a CriSTAL scoring system to identify pre-morbid conditions associated with a poor outcome after admission to intensive care in people 70 years or older. J Intensive Care Soc. 2018; 57. L.L. L, J.M. L. Predicting adverse postoperative outcomes in patients aged 80 years or older. J Am Geriatr Soc. 2000;48(4):405–12. 58. Van Den Bulcke B, Piers R, Jensen HI, Malmgren J, Metaxa V, Reyners AK, et al. Ethical decision-making climate in the ICU: Theoretical framework and validation of a self-Assessment tool. BMJ Qual Saf. 2018;27(10):781–9. 59. Robert R, Skrifvars MB, Ranzani OT. Is this critically ill patient elderly or too old? Intensive Care Med. 2017;43(12):1884–6. 60. Laupland KB, Kirkpatrick AW, Kortbeek JB, Zuege DJ. Long-term mortality outcome associated with prolonged admission to the ICU. Chest. 2006;129(4):954–9. 61. Hofhuis JGM, Van Stel HF, Schrijvers AJP, Rommes JH, Spronk PE. Changes of health-related quality of life in critically ill octogenarians: A follow-up study. Chest. 2011;140(6):1473–83. 62. Gordo F, Castro C, Torrejón I, Bartolomé S, Coca F, Abella A. Functional status as an independent risk factor in elderly patients admitted to an Intensive Care Unit. Rev Esp Geriatr Gerontol. 2018;53(4):213–6. 63. Guidet B, Vallet H, Boddaert J, de Lange DW, Morandi A, Leblanc G, et al. Caring for the critically ill patients over 80: a narrative review. Ann Intensive Care. 2018;8(1). 41. Poma J, Gálvez M, Zegarra J, Meza M, Varela L, Chávez H. Morbimortalidad de pacientes mayores de 60 años en el servicio de cuidados intensivos de un hospital general. Rev Medica Hered. 2012;23(1). 49. Yatabe T, Nishigaki A, Tamura T, Yokoyama M. Mortality and physical status at hospital discharge in Japanese elderly critically ill patients: a single-center retrospective study. JA Clin Reports. 2018;4(1):1–5. |
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Meléndez Flórez, Héctor Julio20cc143a-86c7-44c4-bcab-57fb40719b36Ocaziónez Jiménez, Jesús Enriquecdd2f028-463d-460c-bccb-669613f70f18Meléndez Flórez, Héctor Julio [0000320609]Floridablanca (Santander, Colombia)UNAB Campus Bucaramanga2020-07-27T20:38:37Z2020-07-27T20:38:37Z2019http://hdl.handle.net/20.500.12749/7057instname:Universidad Autónoma de Bucaramanga - UNABreponame:Repositorio Institucional UNABrepourl:https://repository.unab.edu.coIntroducción: la edad avanzada como característica biológica no modificable, la edad ha sido considerada por algunos como un criterio aislado de selección para el ingreso de pacientes a las unidades de cuidado intensivo (UCI), desconociendo que se trata de una población heterogénea con diferentes posibilidades de supervivencia frente a la enfermedad crítica. Se han estudiado otros factores de riesgo de peores desenlaces médicos, como la oportunidad de la atención, la naturaleza y severidad de la enfermedad aguda, la carga de la enfermedad crónica , el estado cognitivo, la dependencia funcional, la intensidad de la atención y las complicaciones durante su estancia, entre otros. El objetivo del presente estudio fue describir la mortalidad en UCI y hospitalaria de los pacientes mayores de 70 años que ingresaron a UCI, la existencia de diferencias significativas de mortalidad entre los grupos de edad y los principales diagnósticos de ingreso y de comorbilidad de esta población. Metodología: Estudio analítico de corte trasversal que incluyó 607 pacientes mayores o iguales a 70 años ingresados a UCI de la clínica FOSCAL en un periodo de 12 meses. Las variables independientes fueron edad, sexo, comorbilidad al ingreso, tipo de admisión, diagnóstico de ingreso, estancias pre ingreso a UCI, en UCI e institucional. Se realizó un análisis descriptivo uni y bi-variado en Stata 14. Resultados: Se encontró una mortalidad en UCI del 23.89% , hospitalaria del 12,77% y general del 33.61 %, los principales diagnósticos de ingreso pertenecieron los grupos cardiovascular, infección e insuficiencia respiratoria, las patologías más asociadas pertenecieron a los grupos cardiovascular, respiratorio y endocrino metabólico y las principales causas de mortalidad se debieron a los grupos de shock, falla respiratoria e infección; la edad como riesgo biológico solo se dio al ser mayor de 85 años. Conclusiones: Existen diferencias significativas en la mortalidad según la edad entre las dos salas de hospitalización y la UCI. Se requiere considerar otros factores adicionales a la edad, a la hora de seleccionar los pacientes que ingresen a UCI.introduccion 10 1. planteamiento del problema 12 1.1 pregunta de investigación: 13 1.2 hipótesis 13 2. justificacion 14 3. marco teorico 16 4. objetivos 22 4.1 objetivo general 22 4.2 objetivos específicos 22 5. materiales y metodos 23 6. aspectos eticos 26 7. desarrollo de la investigacion 28 8. resultados 30 9. discusion 36 10. conclusiones 41 11. impacto esperado 42 bibliografia 43 anexos 50Especializaciónby many as a isolated criteria for admission to intensive care units (ICU, unknowing the heterogeneity of population with different survival against critical illness. it has been studying other risk factors that have worse medical outcomes such as opportunity in health care, nature and severity of acute illness, chronic disease burden, cognitive state, functional dependence, intensive care and complications during hospital stay, among others. Introduction: advance age as an unmodifiable characteristic has been considered. The main goal of the study was to describe ICU and hospital mortality in patients with 70 years or older admitted at ICU, the existence of significant mortality differences between age groups and principal comorbidities and admission diagnosis in this population. Methods: Cross sectional analytic study with 607 patients 70 years old or older, admitted to FOSCAL’s clinic ICU in a period of one year. Independent variables were age, sex, admission comorbidity, admission type, diagnosis at admission, pre ICU, ICU and total hospital length of stay. We performed an univariate and bivariate analysis using Stata 14. Results: We found ICU mortality of 23,89%, in-hospital mortality of 12,77% and overall mortality of 33.61%. Principal admission diagnosis belonged to cardiovascular, infectious and respiratory insufficiency groups. most common admission comorbidities belonged cardiovascular, respiratory and endocrine-metabolic groups. Age as biological risk factor only occurs at 85 years old or older. Conclusions: There statistical differences in mortality across different ages between ICU and hospitalization. Many additional factors besides age should be consider to adequately assign elderly patients to ICU.Modalidad Presencialapplication/pdfspahttp://creativecommons.org/licenses/by-nc-nd/2.5/co/Abierto (Texto Completo)info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Atribución-NoComercial-SinDerivadas 2.5 ColombiaMortalidad en pacientes de 70 años o más, ingresados a unidad de cuidados intensivosMortality in patients aged 70 years and over, admitted to the intensive care unitEspecialista en Medicina Crítica y Cuidado Intensivo del AdultoUniversidad Autónoma de Bucaramanga UNABFacultad Ciencias de la SaludEspecialización en Medicina Crítica y Cuidado Intensivo del Adultoinfo:eu-repo/semantics/masterThesisTesishttp://purl.org/redcol/resource_type/TMMedical sciencesHealth sciencesCritical care medicinePatient monitoringElderlyIntensive care unitCritical careMortalityRisk factorsHuman life cycleAdulthoodEmergency medicineCiencias médicasCuidados intensivos (Medicina)Monitoreo de pacientesCiclo vital humanoEdad adultaMedicina de urgenciasCiencias de la saludAncianoVejezUnidad de cuidado intensivoCuidado críticoMortalidadFactores de riesgo1. 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JA Clin Reports. 2018;4(1):1–5.ORIGINAL2019_Tesis_Jesus_Enrique_Ocazionez_ Jimenez.pdf2019_Tesis_Jesus_Enrique_Ocazionez_ Jimenez.pdfTesisapplication/pdf726182https://repository.unab.edu.co/bitstream/20.500.12749/7057/1/2019_Tesis_Jesus_Enrique_Ocazionez_%20Jimenez.pdfa166be8ec0ce7021b6f49702831f850aMD51open accessLicencia_Jesus_Enrique.pdfLicencia_Jesus_Enrique.pdfLicenciaapplication/pdf301873https://repository.unab.edu.co/bitstream/20.500.12749/7057/4/Licencia_Jesus_Enrique.pdfb72b4fb1fa202f0c75e9af765179bf7dMD54metadata only accessLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repository.unab.edu.co/bitstream/20.500.12749/7057/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52open accessTHUMBNAIL2019_Tesis_Jesus_Enrique_Ocazionez_ Jimenez.pdf.jpg2019_Tesis_Jesus_Enrique_Ocazionez_ Jimenez.pdf.jpgIM Thumbnailimage/jpeg4440https://repository.unab.edu.co/bitstream/20.500.12749/7057/3/2019_Tesis_Jesus_Enrique_Ocazionez_%20Jimenez.pdf.jpg65333f8a55e7025004a41a04b589ba7dMD53open accessLicencia_Jesus_Enrique.pdf.jpgLicencia_Jesus_Enrique.pdf.jpgIM Thumbnailimage/jpeg10980https://repository.unab.edu.co/bitstream/20.500.12749/7057/5/Licencia_Jesus_Enrique.pdf.jpg97a79f5df1ee0a9052d445a0d292b2ecMD55metadata only access20.500.12749/7057oai:repository.unab.edu.co:20.500.12749/70572024-09-18 22:01:37.526open accessRepositorio Institucional | Universidad Autónoma de Bucaramanga - UNABrepositorio@unab.edu.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 |