Identification of earlier predictors of pregnancy complications through wearable technologies in a brazilian multicentre cohort : maternal actigraphy exploratory study I (MAES-I) study protocol
Renato T. Souza, Jose Guilherme Cecatti, Jussara Mayrink, Rafael Bessa Galvao, Maria Laura Costa, Francisco Feitosa, Edilberto Rocha Filho, Debora F. Leite, Janete Vettorazzi, Ricardo P. Tedesco, Danielly S. Santana, Joao Paulo Souza, Carina B. Luiz, Luiza C. Brust, Danilo Anacleto, Livia C....
Renato T. Souza, Jose Guilherme Cecatti, Jussara Mayrink, Rafael Bessa Galvao, Maria Laura Costa, Francisco Feitosa, Edilberto Rocha Filho, Debora F. Leite, Janete Vettorazzi, Ricardo P. Tedesco, Danielly S. Santana, Joao Paulo Souza, Carina B. Luiz, Luiza C. Brust, Danilo Anacleto, Livia C. Nascimento, Daisy Lucena, Denise E. F. Cordeiro, Mariana B. Rogerio
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Agradecimentos: This study was funded by The Bill and Melinda Gates Foundation through the Grand Challenge Exploration program, call 19 (research grant OPP1182749)
Non-invasive tools capable of identifying predictors of maternal complications would be a step forward for improving maternal and perinatal health. There is an association between modification in physical activity (PA) and sleep-wake patterns and the occurrence of inflammatory, metabolic,...
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Non-invasive tools capable of identifying predictors of maternal complications would be a step forward for improving maternal and perinatal health. There is an association between modification in physical activity (PA) and sleep-wake patterns and the occurrence of inflammatory, metabolic, pathological conditions related to chronic diseases. The actigraphy device is validated to estimate PA and sleep-wake patterns among pregnant women. In order to extend the window of opportunity to prevent, diagnose and treat specific maternal conditions, would it be possible to use actigraphy data to identify risk factors for the development of adverse maternal outcomes during pregnancy? A cohort will be held in five centres from the Brazilian Network for Studies on Reproductive and Perinatal Health. Maternal Actigraphy Exploratory Study I (MAES-I) will enrol 400 low-risk nulliparous women who will wear the actigraphy device on their wrists day and night (24 hours/ day) uninterruptedly from 19 to 21 weeks until childbirth. Changes in PA and sleep-wake patterns will be analysed throughout pregnancy, considering ranges in gestational age in women with and without maternal complications such as pre-eclampsia, preterm birth (spontaneous or provider-initiated), gestational diabetes, maternal haemorrhage during pregnancy, in addition to perinatal outcomes. The plan is to design a predictive model using actigraphy data for screening pregnant women at risk of developing specific adverse maternal and perinatal outcomes. Ethics and dissemination MAES-I has been reviewed and approved by each institutional review board and also by the National Council for Ethics in Research. Detailed information about the study is provided in the Brazilian Cohort website (www.medscinet.com/samba) and findings will be published in the scientific literature and institutional webpages
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DOI: https://doi.org/10.1136/bmjopen-2018-023101
Texto completo: https://bmjopen.bmj.com/content/9/4/e023101
Identification of earlier predictors of pregnancy complications through wearable technologies in a brazilian multicentre cohort : maternal actigraphy exploratory study I (MAES-I) study protocol
Renato T. Souza, Jose Guilherme Cecatti, Jussara Mayrink, Rafael Bessa Galvao, Maria Laura Costa, Francisco Feitosa, Edilberto Rocha Filho, Debora F. Leite, Janete Vettorazzi, Ricardo P. Tedesco, Danielly S. Santana, Joao Paulo Souza, Carina B. Luiz, Luiza C. Brust, Danilo Anacleto, Livia C....
Renato T. Souza, Jose Guilherme Cecatti, Jussara Mayrink, Rafael Bessa Galvao, Maria Laura Costa, Francisco Feitosa, Edilberto Rocha Filho, Debora F. Leite, Janete Vettorazzi, Ricardo P. Tedesco, Danielly S. Santana, Joao Paulo Souza, Carina B. Luiz, Luiza C. Brust, Danilo Anacleto, Livia C. Nascimento, Daisy Lucena, Denise E. F. Cordeiro, Mariana B. Rogerio
Identification of earlier predictors of pregnancy complications through wearable technologies in a brazilian multicentre cohort : maternal actigraphy exploratory study I (MAES-I) study protocol
Renato T. Souza, Jose Guilherme Cecatti, Jussara Mayrink, Rafael Bessa Galvao, Maria Laura Costa, Francisco Feitosa, Edilberto Rocha Filho, Debora F. Leite, Janete Vettorazzi, Ricardo P. Tedesco, Danielly S. Santana, Joao Paulo Souza, Carina B. Luiz, Luiza C. Brust, Danilo Anacleto, Livia C....
Renato T. Souza, Jose Guilherme Cecatti, Jussara Mayrink, Rafael Bessa Galvao, Maria Laura Costa, Francisco Feitosa, Edilberto Rocha Filho, Debora F. Leite, Janete Vettorazzi, Ricardo P. Tedesco, Danielly S. Santana, Joao Paulo Souza, Carina B. Luiz, Luiza C. Brust, Danilo Anacleto, Livia C. Nascimento, Daisy Lucena, Denise E. F. Cordeiro, Mariana B. Rogerio
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BMJ Open Vol. 9, no. 4 (June, 2019), n. art. e023101 |