{"id":11499,"date":"2020-12-15T09:33:45","date_gmt":"2020-12-15T15:33:45","guid":{"rendered":"https:\/\/saluddigital.com\/?p=11499"},"modified":"2025-10-21T14:04:06","modified_gmt":"2025-10-21T20:04:06","slug":"covid-19-evaluacion-de-signos-fisiologicos-relacionados-a-sintomas-a-traves-de-wearables","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/comunidades-conectadas\/covid-19-evaluacion-de-signos-fisiologicos-relacionados-a-sintomas-a-traves-de-wearables\/","title":{"rendered":"COVID-19: Assessment of physiological signs related to symptoms through wearables"},"content":{"rendered":"
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Through mobile devices also known as smartwatches, it is possible to measure breathing rate, heart rate and health metrics that are associated with COVID-19 symptoms.<\/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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The journal npj digital Medicine, recently published the article: \u201cAssessment of physiological signs associated with COVID-19 measured using wearable devices\u201d. Breathing rate, heart rate, and heart rate variability (HRV) were the three metrics evaluated for this study, as all three are easily measured by smart devices. Moreover, they are signs that could determine whether there are early signs of coronavirus disease.<\/p>

To conduct the study, they collected data from more than 30,000 PCR tests, of which 2,745 people were diagnosed with COVID-19, with an active infection from May 21 to September 11, 2020, who were the final participants. The more than 2 thousand participants had a smartwatch intelligent device. smartwatch.<\/em><\/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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Among the male participants, 11.9% were asymptomatic, by 11.2% of the female participants. 48.3% of the men recovered at home and 47.8% of the women, as for those who required hospitalization (without ventilator), it was 9.3% of the men and 6.6% of the women. Among the patients who did require assisted ventilation, they reported 0.5% in men and 0.4% in women.<\/p>

Regarding symptoms, participants reported 21 symptoms, whose prevalence depended on the sex of the participants. Fatigue was the symptom that was most present among participants, 66.1% of men, by 76.1% of women. Followed by fever with 59.4% of men and 52% of women.<\/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

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The study introduced a simple formula for estimating the need for hospital care in participants, this formula considered the symptoms of disease and self-reported symptoms such as diabetes, hypertension, among other chronic diseases age, sex and body mass index (BMI). The main variable predicting the need for hospitalization was difficulty in breathing, as well as gastrointestinal symptoms such as vomiting and loss of appetite were indicative of serious illness. On the other hand, sore throat and stomach pain were the least likely for hospitalization.<\/p>

The significance of this study also had its strength in self-reported symptoms. The authors recognized that, despite the number of predictions made, 196 out of 2179 in need of hospitalization, the study \u201cprovides an important scientific contribution by suggesting (a) hospitalization risk can be calculated from self-reported symptoms, and (b) relevant and predictive physiological signs related to COVID-19 may be detected by consumer wearable devices\u201d.<\/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\tBIBLIOGRAPHY<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t

NATURE<\/strong><\/p>

https:\/\/www.nature.com\/articles\/s41746-020-00363-7#Sec6<\/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":"

A trav\u00e9s de los dispositivos m\u00f3viles tambi\u00e9n conocidos como relojes inteligentes o smartwatches, es posible medir la frecuencia respiratoria, frecuencia cardiaca y m\u00e9tricas de salud que se asocian con s\u00edntomas de COVID-19. La revista npj digital Medicine, public\u00f3 recientemente el art\u00edculo: “Evaluaci\u00f3n de los signos fisiol\u00f3gicos asociados con COVID-19 medidos con dispositivos m\u00f3viles”. La frecuencia respiratoria, la frecuencia cardiaca y la variabilidad de frecuencia cardiaca (VFC), fueron las tres m\u00e9tricas evaluadas para este estudio, ya que las tres son f\u00e1cilmente medibles a trav\u00e9s de los dispositivos inteligentes. Adem\u00e1s, son signos que podr\u00edan determinar si existen signos tempranos de enfermedad por coronavirus. Para realizar el estudio recopilaron datos de m\u00e1s de 30 mil pruebas PCR, de las cuales 2,745 personas fueron diagnosticadas con COVID-19, con infecci\u00f3n activa del 21 de mayo al 11 de septiembre de 2020, quienes fueron los participantes finales. Los m\u00e1s de 2 mil participantes contaron con un dispositivo inteligente smartwatch. Entre los participantes masculinos, 11,9% fueron asintom\u00e1ticos, por 11,2% de las participantes femeninas. 48,3% del hombre se recuperaron solos en casa y de las mujeres 47,8%, en cuanto a las personas que requirieron hospitalizaci\u00f3n (sin ventilador), 9,3% de los hombres por 6,6% de las mujeres. Entre los pacientes que si requirieron ventilaci\u00f3n asistida reportaron 0,5% en los hombres y 0,4% en las mujeres. Sobre la sintomatolog\u00eda, los participantes reportaron 21 s\u00edntomas, de los cuales su prevalencia dependi\u00f3 en el sexo de los participantes. La fatiga fue el s\u00edntoma que m\u00e1s estuvo presente entre los participantes, 66,1% de los hombres, por 76,1% de las mujeres.  Seguido de fiebre con 59,4% de los hombres y 52% de las mujeres. El estudio present\u00f3 una formula simple para la estimaci\u00f3n de necesidad de atenci\u00f3n hospitalaria en los participantes, esta f\u00f3rmula consideraba los s\u00edntomas de enfermedad y s\u00edntomas auto informados, como diabetes, hipertensi\u00f3n, entre otras enfermedades cr\u00f3nicas la edad, el sexo y el \u00edndice de masa corporal (IMC). La principal variable que indic\u00f3 la predicci\u00f3n de necesidad de hospitalizaci\u00f3n fue la dificultad para respirar, as\u00ed como los s\u00edntomas gastrointestinales como v\u00f3mito y p\u00e9rdida de apetito fueron indicativos de una enfermedad grave. Por otra parte, el dolor de garganta y de est\u00f3mago fueron los menos probables para una hospitalizaci\u00f3n. La importancia de este estudio tambi\u00e9n tuvo su fuerte en los s\u00edntomas auto informados. Los autores reconocieron que, a pesar del n\u00famero de predicciones realizadas, de 196 de 2179 en necesidad de hospitalizaci\u00f3n, el estudio \u201cproporciona una contribuci\u00f3n cient\u00edfica importante al sugerir que (a) el riesgo de hospitalizaci\u00f3n se puede calcular a partir de s\u00edntomas auto informados, y (b) los dispositivos port\u00e1tiles de los consumidores pueden detectar signos fisiol\u00f3gicos relevantes y predictivos relacionados con COVID-19\u201d. BIBLIOGRAF\u00cdA NATURE https:\/\/www.nature.com\/articles\/s41746-020-00363-7#Sec6<\/p>","protected":false},"author":1,"featured_media":11500,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[154,155,3401,1418],"tags":[145],"class_list":["post-11499","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-comunidades-conectadas","category-el-mundo-en-la-nube","category-iotapps","category-resena-de-publicaciones-cientificas","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/11499","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=11499"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/11499\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/11500"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=11499"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=11499"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=11499"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}