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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Change criteria hypertension Peru, data

Authors: Failoc-Rojas Virgilio;

Change criteria hypertension Peru, data

Abstract

Introduction: The American Heart Association/American College of Cardiology has published In 2017 new guidelines for hypertension. These guidelines change the criteria to classify patients with hypertension. There has not been yet a study that analyzes the consequences of these changes in developing countries. The objective of our study was to characterize changes in the classification of hypertension with the new guidelines among Peruvian patients and to determine the factors associated with being newly-diagnosed hypertensive. Methods: An analytical cross-sectional investigation was carried out, which was based on the secondary analysis of the data of hypertension. We compare certain variable including using antihypertensive medication, region, and other sociodemographic characteristics. We performed a descriptive analysis of the variables shown as frequency and percentage. P values that were less than 0.05 were considered statistically significant, it were obtained using a multivariate analysis. Results: Of the 5615 patients in this cohort, with the old criteria, 4915 (87.5%) did not have the diagnosis of hypertension; however, with the new criteria, 1,415 (25%) will be diagnosed with hypertension with the new criteria. 467 (9%) of patients who were not taking medications and 85 (32%) of patients who were taking medications will switch from having high-normal blood pressure to grade 1 hypertension, with the new guideline. The recent diagnosis of hypertension was associated with sex (p <0.001), age (p <0.001), overweight (p <0.001), physical activity (p = 0.010), smoking (p = 0.031) and a history of diabetes mellitus (p <0.001) when adjusted for pharmacotherapy, only sex (p <0.001), age (p <0.001), overweight (p <0.001) and physical activity (p = 0.001), remained statistically significant. Conclusions: The new criteria increase the percentage of the patient that now will be classified as hypertension. This should be accompanied by effective politics in education, surveillance and adequate treatment of the health care system. Introduction: The American Heart Association/American College of Cardiology has published In 2017 new guidelines for hypertension. These guidelines change the criteria to classify patients with hypertension. There has not been yet a study that analyzes the consequences of these changes in developing countries. The objective of our study was to characterize changes in the classification of hypertension with the new guidelines among Peruvian patients and to determine the factors associated with being newly-diagnosed hypertensive. Methods: An analytical cross-sectional investigation was carried out, which was based on the secondary analysis of the data of hypertension. We compare certain variable including using antihypertensive medication, region, and other sociodemographic characteristics. We performed a descriptive analysis of the variables shown as frequency and percentage. P values that were less than 0.05 were considered statistically significant, it were obtained using a multivariate analysis. Results: Of the 5615 patients in this cohort, with the old criteria, 4915 (87.5%) did not have the diagnosis of hypertension; however, with the new criteria, 1,415 (25%) will be diagnosed with hypertension with the new criteria. 467 (9%) of patients who were not taking medications and 85 (32%) of patients who were taking medications will switch from having high-normal blood pressure to grade 1 hypertension, with the new guideline. The recent diagnosis of hypertension was associated with sex (p <0.001), age (p <0.001), overweight (p <0.001), physical activity (p = 0.010), smoking (p = 0.031) and a history of diabetes mellitus (p <0.001) when adjusted for pharmacotherapy, only sex (p <0.001), age (p <0.001), overweight (p <0.001) and physical activity (p = 0.001), remained statistically significant. Conclusions: The new criteria increase the percentage of the patient that now will be classified as hypertension. This should be accompanied by effective politics in education, surveillance and adequate treatment of the health care system.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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