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      Predictive Model for Ambulatory Hypertension Based on Office Blood Pressure in Obese Children

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          Abstract

          Background: The epidemic of obesity, along with hypertension (HT) and cardiovascular disease, is a growing contributor to global disease burden. It is postulated that obese children are predisposed to hypertension and subsequent cardiovascular disease in adulthood. Early detection and management of hypertension in these children can significantly modify the course of the disease. However, there is a paucity of studies for the characterization of blood pressure in obese children through ambulatory blood pressure monitoring (ABPM), especially in the developing world. This study aims to characterize ambulatory blood pressure in obese children and to explore feasibility of using office BP that will predict ambulatory hypertension.

          Methods:In the present study, 55 children with a body mass index (BMI) in the ≥95th percentile for age and sex were enrolled in a tertiary care hospital and underwent 24 h of ABPM and detailed biochemical investigations.

          Results:Ambulatory hypertension was recorded in 14/55 (25.5%; white coat hypertension in 17/29 (58.6%) and masked hypertension in 2/26 (7.69%). For office SBP percentile the area under curve (AUC) was 0.773 (95% CI: 0.619–0.926, p = 0.005) and for office DBP percentile the AUC was 0.802 (95% CI: 0.638–0.966, p = 0.002). The estimated cut offs (Youden's index) for office blood pressure which predicts ambulatory hypertension in obese children were the 93rd percentile for systolic BP (sensitivity-67% and specificity−78%) and the 88th percentile for diastolic BP (sensitivity-83% and specificity-62%).

          Conclusion:Ambulatory blood pressure abnormalities are highly prevalent among children with obesity. Office blood pressure did not accurately predict ambulatory hypertension. More than half of the children labeled as “hypertension” on office blood pressure measurement in the study were diagnosed to have white coat hypertension (WCH), thus emphasizing the role of ABPM for evaluation of WCH before the child is subjected to detailed investigations or started on pharmacotherapy.

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          Most cited references17

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          easyROC: An Interactive Web-tool for ROC Curve Analysis Using R Language Environment

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            Prognostic significance of the nocturnal decline in blood pressure in individuals with and without high 24-h blood pressure: the Ohasama study.

            To examine the relationship between the normal nocturnal decline in blood pressure and the risk of cardiovascular mortality in individuals with and without high 24-h blood pressure values. We obtained 24-h ambulatory blood pressure readings from 1542 residents of Ohasama, Japan, who were aged 40 years or more and were representative of the Japanese general population. We then followed up their survival for a mean of 9.2 years. The relationship was analysed using a Cox proportional hazards model adjusted for possible confounding factors. There was a linear relationship between the nocturnal decline in blood pressure and cardiovascular mortality. On average, each 5% decrease in the decline in nocturnal systolic/diastolic blood pressure was associated with an approximately 20% greater risk of cardiovascular mortality. There were no significant interactions for the risk between 24-h systolic/diastolic blood pressure values and continuous values for the nocturnal decline in blood pressure ( for interaction 0.6). Even when 24-h blood pressure values were within the normal range ( 135/80 mmHg, average 118/69 mmHg), diminished nocturnal decreases in systolic/diastolic blood pressure were associated with an increased risk of cardiovascular mortality. This is the first study to demonstrate that a diminished nocturnal decline in blood pressure is a risk factor for cardiovascular mortality, independent of the overall blood pressure load during a 24-h period, in the general population.
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              Effectiveness of blood pressure control outside the medical setting.

              We studied the effectiveness of blood pressure (BP) control outside the clinic by using ambulatory BP monitoring (ABPM) among a large number of hypertensive subjects treated in primary care centers across Spain. The sample consisted of 12 897 treated hypertensive subjects who had indications for ABPM. Office-based BP was calculated as the average of 2 readings. Twenty-four-hour ABPM was then performed using a SpaceLabs 90207 monitor under standardized conditions. A total of 3047 patients (23.6%) had their office BP controlled, and 6657 (51.6%) were controlled according to daytime ABPM. The proportion of office resistance or underestimation of patients' BP control by physicians in the office (office BP >or=140/90 mm Hg and average daytime ambulatory BP or=135/85 mm Hg) was 5.4%. BP control was more frequently underestimated in patients who were older, female, obese, or with morning BP determination than in their counterparts. BP control was more frequently overestimated in those who were younger, male, nonobese, smokers, or with evening BP determination. Ambulatory-based hypertension control was far better than office-based hypertension control. This conveys an encouraging message to clinicians, namely that they are actually doing better than is evidenced by office-based data. However, the burden of underestimation and overestimation of BP control at the office is still remarkable. Physicians should be aware that the likelihood of misestimating BP control is higher in some hypertensive subjects.
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                Author and article information

                Contributors
                Journal
                Front Pediatr
                Front Pediatr
                Front. Pediatr.
                Frontiers in Pediatrics
                Frontiers Media S.A.
                2296-2360
                19 May 2020
                2020
                : 8
                : 232
                Affiliations
                [1] 1Department of Pediatrics, All India Institute of Medical Sciences (AIIMS) Bhopal , Bhopal, India
                [2] 2Department of Community & Family Medicine, All India Institute of Medical Sciences (AIIMS) Bhopal , Bhopal, India
                [3] 3Department of Biochemistry, All India Institute of Medical Sciences (AIIMS) Bhopal , Bhopal, India
                [4] 4Department of Radio-diagnosis, All India Institute of Medical Sciences (AIIMS) Bhopal , Bhopal, India
                Author notes

                Edited by: Giovanni Biglino, University of Bristol, United Kingdom

                Reviewed by: Alexandre A. da Silva, University of Mississippi Medical Center, United States; Rajiv Sinha, Institute of Child Health, India

                *Correspondence: Girish C. Bhatt drgcbhatt@ 123456gmail.com

                This article was submitted to Pediatric Cardiology, a section of the journal Frontiers in Pediatrics

                †Present Address: Priya Gogia, Government Medical College, Vidisha, Madhya Pradesh Shikha Jain, All India Institute of Medical Sciences, Nagpur, India

                Article
                10.3389/fped.2020.00232
                7248329
                32509711
                d48ac95e-3a72-417f-82d7-c69941a34daa
                Copyright © 2020 Bhatt, Pakhare, Gogia, Jain, Gupta, Goel and Malik.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 09 July 2019
                : 16 April 2020
                Page count
                Figures: 3, Tables: 4, Equations: 0, References: 22, Pages: 7, Words: 4009
                Categories
                Pediatrics
                Original Research

                ambulatory blood pressure monitoring (abpm),obesity,white coat hypertension (wch),ambulatory hypertension,predictive model

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