Identifying patterns of diurnal blood pressure variation among ELSA‐Brasil participants

Paula, Daniela Polessa; Lopes, Leidjaira J; Mill, José Geraldo; Fonseca, Maria J M; Griep, Rosane Härter

doi:10.1111/jch.14066

Cited by 2 publications

(4 citation statements)

References 43 publications

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“…13 Additionally, AutoML frameworks can be computationally expensive, requiring significant computing resources to evaluate the entire range of models and hyperparameters, especially if the dataset being used for training is large. 14 Finally, AutoML frameworks may also be unable to identify and address more complex data issues, like imbalanced data or outliers. 15 Blood pressure predictions were generated using timevarying data from physiological monitors and infusion devices needed for nitroglycerin titration.…”

Section: Discussionmentioning

confidence: 99%

“…This may result in suboptimal performance compared with a customized approach 13 . Additionally, AutoML frameworks can be computationally expensive, requiring significant computing resources to evaluate the entire range of models and hyperparameters, especially if the dataset being used for training is large 14 . Finally, AutoML frameworks may also be unable to identify and address more complex data issues, like imbalanced data or outliers 15 …”

Section: Discussionmentioning

confidence: 99%

“…The actual time of day was not provided in the eICU database, so we could not use time as a predictor in our analyses, even though it could be considered potentially crucial for blood pressure prediction. Diurnal patterns in blood pressure are well known and include a gradual decrease in the evening with a fall to a low point during sleep 14 . That said, circadian rhythm is disturbed in critical care patients, leading to alteration in the usual diurnal variation in blood pressure 15 .…”

Section: Discussionmentioning

confidence: 99%

“…Diurnal patterns in blood pressure are well known and include a gradual decrease in the evening with a fall to a low point during sleep. 14 That said, circadian rhythm is disturbed in critical care patients, leading to alteration in the usual diurnal variation in blood pressure. 15 The sample consists mostly of older White male adults.…”

Section: Limitationsmentioning

confidence: 99%

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Predicting Blood Pressure After Nitroglycerin Infusion Dose Titration in Critical Care Units

Kamboj,

Metcalfe,

Chu

et al. 2023

CIN: Computers, Informatics, Nursing

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Critical care nurses use physiological indicators, such as blood pressure, to guide their decision-making regarding the titration of nitroglycerin infusions. A retrospective study was conducted to determine the accuracy of systolic blood pressure predictions during nitroglycerin infusions. Data were extracted from the publicly accessible eICU program database. The accuracy of a linear model, least absolute shrinkage and selection operator, ridge regression, and a stacked ensemble model trained using the AutoGluon-Tabular framework were investigated. A persistence model, where the future value in a time series is predicted as equal to its preceding value, was used as the baseline comparison for model accuracy. Internal-external validation was used to examine if heterogeneity among hospitals could contribute to model performance. The sample consisted of 827 patients and 2541 nitroglycerin dose titrations with corresponding systolic blood pressure measurements. The root-mean-square error on the test set for the stacked ensemble model developed using the AutoGluon-Tabular framework was the lowest of all models at 15.3 mm Hg, equating to a 22% improvement against the baseline. Internal-external validation revealed consistent accuracy across hospitals. Further studies are needed to determine the impact of using systolic blood pressure predictions to inform nurses' clinical decision-making regarding nitroglycerin infusion titration in critical care.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Limitationsmentioning

confidence: 99%

See 2 more Smart Citations

Predicting Blood Pressure After Nitroglycerin Infusion Dose Titration in Critical Care Units

Kamboj,

Metcalfe,

Chu

et al. 2023

CIN: Computers, Informatics, Nursing

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Assessment by ABPM verified the presence of hypertension in patients with self-reported hypertension, pregnant women, as well as differences between ethnicities in women aged 38-39 years in the Ribeirão Preto cohort

Brandão

Veiga²,

Levy³

et al. 2022

Front. Pharmacol.

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Introduction: Arterial hypertension is a global health problem and one of the main risk factors for cardiovascular diseases (CVD), and therefore for morbidity and mortality among adult men and women. Factors related to obstetric history, family history, sociodemographic characteristics, and lifestyle habits are known determinants of arterial hypertension.Methods: Case-control study of women belonging to the 1978/79 birth cohort conducted in the city of Ribeirão Preto/SP. Sociodemographic data, presence of comorbidities, maternal comorbidities, paternal comorbidities, comorbidities during pregnancy, and biometric and biophysical markers associated with blood pressure measured by 24-h ambulatory blood pressure monitoring (ABPM) were assessed in women aged 38–39 years. We want to study which variables of the previous sentence are related to the presence of hypertension measured by ABPM.Results: Data from 281 women were analyzed. Our results showed that ethnicity, a history of hypertension, and gestational hypertension reported by the women were significantly associated with the presence of hypertension measured by ABPM. Other factors such as marital status, educational level, comorbidities of the woman, paternal or maternal comorbidities, anthropometric measurements or serum levels of cardiovascular markers were not associated with the presence of hypertension measured by ABPM.Conclusion: We conclude that ethnicity, self-reported hypertension, and gestational hypertension are associated with arterial hypertension measured by ABPM.

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Identifying patterns of diurnal blood pressure variation among ELSA‐Brasil participants

Cited by 2 publications

References 43 publications

Predicting Blood Pressure After Nitroglycerin Infusion Dose Titration in Critical Care Units

Predicting Blood Pressure After Nitroglycerin Infusion Dose Titration in Critical Care Units

Assessment by ABPM verified the presence of hypertension in patients with self-reported hypertension, pregnant women, as well as differences between ethnicities in women aged 38-39 years in the Ribeirão Preto cohort

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