{"id":84947,"date":"2000-10-06T00:00:00","date_gmt":"2000-10-06T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/modelos-predictivos-de-independencia-funcional-en-la-rehabilitacion-de-pacientes-con-accidente-cerebrovascular\/"},"modified":"2000-10-06T00:00:00","modified_gmt":"2000-10-06T00:00:00","slug":"modelos-predictivos-de-independencia-funcional-en-la-rehabilitacion-de-pacientes-con-accidente-cerebrovascular","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/ciencias-medicas\/modelos-predictivos-de-independencia-funcional-en-la-rehabilitacion-de-pacientes-con-accidente-cerebrovascular\/","title":{"rendered":"Modelos predictivos de independencia funcional en la rehabilitaci\u00f3n de pacientes con accidente cerebrovascular."},"content":{"rendered":"<h2>Tesis doctoral de <strong> Isidoro Sanchez Blanco <\/strong><\/h2>\n<p>Objetivos:  desarrollar modelos pronosticos para estimar la probalilidad de alcanzar unnivel de idependencia en la marcha y en las actividades de la vida diaria (avd) a los seis meses de un ictus cerebral.  dise\u00f1o:  estudio prospectivo de cohortes.  pacientes y metodo:  noventa y dos pacientes admitidos a un programa de rehabilitaci\u00f3n de forma  consecutiva. Se definio marcha independiente como una clasificaci\u00f3n de marcha funcional superior a 4, y la independencia en avd como un indice de barthel (ib) mayor de 85. Todos los pacientes fueron valorados en la admisi\u00f3n de rehabilitaci\u00f3n y mensualmente hasta el secto mes psot-ictus.  resultados:  los factores pronosticos se identificar\u00f3n mediante an\u00e1lisis multivariante mediante regresi\u00f3n de cox. Se seleccionaron 3 variables predictivas de marcha independiente.  1- la clasificaci\u00f3nde pacientes seg\u00fan sus deficit motores (m), motores y sensitivos (ms) y motores y sensitivos con hemianopsia (msh) (rr-riesgo relativo- 5,43 de m respecto msh, 2,41 de ms respecto (msh)  2- unindice motor mayor de 25 (rr33,19).  3- la edad menor de 70 a\u00f1os (rr 1,99). Para la independencia en avd fueron seleccionados tres factores pronosticos:  1- la clasificaci\u00f3n m-ms-msh (rr 6,02 m para msh, y 1,52 ms par amsh)  2- un ib mayor de 20 (rr 3,45)  3- los antecedentes de independencia previa. Los modelos predictivos construidos mediante regresi\u00f3n logistica multiple, clasifican correctamente al 77% y al 79% de los pacientes que obtiene la independencia de marcha y avd respectivamente.  conclusion:  la clasificaci\u00f3n sindromica m-ms-msh junto con otros datos como el indice motor, el ib, la edad o el nivel de funci\u00f3n previa, puede ser utilies para estimar el pronostico de una paciente en relaci\u00f3n a recuperar un nivel de independencia en la marcha y en las avd.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Modelos predictivos de independencia funcional en la rehabilitaci\u00f3n de pacientes con accidente cerebrovascular.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Modelos predictivos de independencia funcional en la rehabilitaci\u00f3n de pacientes con accidente cerebrovascular. <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Isidoro Sanchez Blanco <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Salamanca<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 10\/06\/2000<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Julio Fermoso Garcia<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: bernardino Bl\u00e1zquez menez <\/li>\n<li>Jos\u00e9 ignacio Calvo arenillas (vocal)<\/li>\n<li>ram\u00f3n Querol prieto (vocal)<\/li>\n<li>lorenzo Jim\u00e9nez cosmes (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Isidoro Sanchez Blanco Objetivos: desarrollar modelos pronosticos para estimar la probalilidad de alcanzar unnivel de idependencia en [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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