{"id":13275,"date":"2021-04-01T08:30:00","date_gmt":"2021-04-01T14:30:00","guid":{"rendered":"https:\/\/saluddigital.com\/?p=13275"},"modified":"2025-10-21T12:52:54","modified_gmt":"2025-10-21T18:52:54","slug":"estudio-de-stanford-sugiere-monitoreo-remoto-a-traves-de-wearables-a-pacientes-con-problemas-cardiacos","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/comunidades-conectadas\/estudio-de-stanford-sugiere-monitoreo-remoto-a-traves-de-wearables-a-pacientes-con-problemas-cardiacos\/","title":{"rendered":"Stanford study suggests remote monitoring via wearables for patients with cardiac problems"},"content":{"rendered":"
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Study published in the scientific journal PLOS ONE used data from wearables and cell phones to measure the frailty of patients with cardiovascular disease and provide other treatment alternatives and remote monitoring. <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Through physical activity data obtained from mobile devices such as smartphones and wearables, it is possible to monitor patients remotely. The study: \"Activity data from wearables as an indicator of functional capacity in patients with cardiovascular disease\", conducted an evaluation of the testing capabilities of six-minute walks (6MWT) for possible replacement or supplementation.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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The study included data from 110 participants who were scheduled for vascular or cardiac procedures. The study was conducted by Stanford University and funded by Apple, so the required data were obtained via an iPhone and an Apple Watch, which the company provided to each participant. The devices were pre-loaded with the VascTrac application used for research related to cardiovascular issues.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Participants were followed for six months, who performed 6MTW in a supervised manner during clinic visits, plus participants performed 6MWT each week at home. \"The app passively collected activity data such as daily step counts. Logistic regression with forward feature selection was used to assess at-home 6MWT and passive data as predictors for \u201cfrailty\u201d as measured by the gold-standard supervised 6MWT. Frailty was defined as walking <300m on an in-clinic 6MWT", the authors explain about their methods.<\/p>

The results showed that the VascTrac app and devices were able to assess \"frailty\" with a sensitivity of 90% and a specificity of 85%. This was in the supervised in-clinic setting. As for the 6MWT performed in the participants' homes the results were 83% sensitivity and 60% specificity. \u201cPassive data collected at home were nearly as accurate at predicting frailty on a clinic-based 6MWT as was a home-based 6MWT, with area under curve (AUC) of 0.643 and 0.704, respectively\u201d, the study explains.<\/p>

As conclusions the authors point out that frailty and functional capacity are activities that can be monitored and assessed remotely in patients with cardiovascular conditions. Mobile technologies offer reliable and safe monitoring: \u201cIn this study, we showed that smart device-based measurements, including both a 6MWT and passively collected activity data, provide clinically accurate and meaningful insights about functional capacity in patients with CVD\u201d, the study concludes.<\/p>

Check the full study at the following link: https:\/\/journals.plos.org\/plosone\/article?id=10.1371\/journal.pone.0247834#sec016<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t BIBLIOGRAPHY<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t

PLOS ONE<\/strong><\/p>

https:\/\/journals.plos.org\/plosone\/article?id=10.1371\/journal.pone.0247834<\/a><\/p>

\u00a0<\/p>

MOBI HEALTH NEWS<\/strong><\/p>

https:\/\/www.mobihealthnews.com\/news\/apple-backed-stanford-study-suggests-iphone-apple-watch-could-remotely-monitor-heart-patients<\/a><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

Estudio publicado en la revista cient\u00edfica PLOS ONE utiliz\u00f3 datos de wearables y tel\u00e9fonos m\u00f3viles para medir la fragilidad de pacientes con enfermedades cardiovasculares y brindar otras alternativas de tratamiento y monitoreo remoto. A trav\u00e9s de datos de actividad f\u00edsica obtenidos de dispositivos m\u00f3viles como smartphones y wearables, es posible monitorear a los pacientes de manera remota. El estudio: \u201cDatos de actividad de wearables como indicador de capacidad funcional en pacientes con enfermedad cardiovascular\u201d, realiz\u00f3 una evaluaci\u00f3n de las capacidades de prueba de las caminatas de seis minutos (6MWT) para su posible reemplazo o complementaci\u00f3n. El estudio incluy\u00f3 datos de 110 participantes que se encontraban programados para procedimientos vasculares o cardiacos. El estudio fue realizado por la Universidad de Stanford y financiado por Apple, por lo que los datos requeridos se obtuvieron a trav\u00e9s de un iPhone y un Apple Watch, que la compa\u00f1\u00eda proporcion\u00f3 a cada uno de los participantes. Los dispositivos ten\u00edan cargada previamente la aplicaci\u00f3n VascTrac utilizada para la investigaci\u00f3n relacionado a temas cardiovasculares. A los participantes se les dio seguimiento durante seis meses, quienes realizaron 6MTW de forma supervisada durante las visitas a la cl\u00ednica, adem\u00e1s los participantes realizaron 6MWT cada semana en casa. “La aplicaci\u00f3n recopilaba datos de actividad de forma pasiva, como el recuento de pasos diarios. La regresi\u00f3n log\u00edstica con selecci\u00f3n de caracter\u00edsticas hacia adelante se utiliz\u00f3 para evaluar la PM6M en el hogar y los datos pasivos como predictores de la \u201cfragilidad\u201d seg\u00fan lo medido por la PM6M supervisada por el est\u00e1ndar de oro. La fragilidad se defini\u00f3 como caminar <300 m en una PM6M en cl\u00ednica”, explican los autores sobre sus m\u00e9todos. Los resultados mostraron que la aplicaci\u00f3n VascTrac y los dispositivos pudieron evaluar la “fragilidad” con una sensibilidad de 90% y una especificidad del 85%. Esto en el entorno cl\u00ednico supervisado. En cuando a las 6MWT realizadas en los hogares de los participantes los resultados fueron 83% de sensibilidad y 60% de especificidad. \u201cLos datos pasivos recopilados en el hogar fueron casi tan precisos para predecir la fragilidad en un 6MWT en la cl\u00ednica como lo fue en un 6MWT en el hogar, con un \u00e1rea bajo la curva (AUC) de 0,643 y 0,704, respectivamente\u201d, explica el estudio. Como conclusiones los autores apuntan que la fragilidad y la capacidad funcional son actividades que pueden monitorizarse y evaluarse de forma remota en pacientes con condiciones cardiovasculares. Las tecnolog\u00edas m\u00f3viles ofrecen un seguimiento confiable y seguro: \u201cEn este estudio, mostramos que las mediciones basadas en dispositivos inteligentes, que incluyen tanto un 6MWT como los datos de actividad recopilados de forma pasiva, brindan informaci\u00f3n cl\u00ednicamente precisa y significativa sobre la capacidad funcional en pacientes con ECV\u201d, concluyen. Consulta el estudio completo en el siguiente enlace: https:\/\/journals.plos.org\/plosone\/article?id=10.1371\/journal.pone.0247834#sec016 BIBLIOGRAF\u00cdA PLOS ONE https:\/\/journals.plos.org\/plosone\/article?id=10.1371\/journal.pone.0247834 MOBI HEALTH NEWS https:\/\/www.mobihealthnews.com\/news\/apple-backed-stanford-study-suggests-iphone-apple-watch-could-remotely-monitor-heart-patients<\/p>","protected":false},"author":1,"featured_media":13276,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[154,3401,3394,1418,3396],"tags":[145],"class_list":["post-13275","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-comunidades-conectadas","category-iotapps","category-redes-sociales","category-resena-de-publicaciones-cientificas","category-uso-de-plataformas-digitales","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/13275","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/comments?post=13275"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/13275\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/13276"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=13275"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=13275"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=13275"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}