scholarly journals The Relation of Blood Pressure to Weight, Height and Body Surface Area in Schoolboys Aged 11 to 15 Years

1952 ◽  
Vol 27 (131) ◽  
pp. 43-53 ◽  
Author(s):  
L. Hahn
Keyword(s):  
Blood Pressure ◽  
Surface Area ◽  
Body Surface Area ◽  
Body Surface

Doppler Transmitral Flow Velocity Parameters: Relationship between Age, Body Surface Area, Blood Pressure and Gender in Normal Subjects

1987 ◽  
Vol 1 (1) ◽  
pp. 3-10 ◽  
Author(s):  
Julius M. Gardin ◽  
Mary K. Rohan ◽  
Dennis M. Davidson ◽  
Ali Dabestani ◽  
Mark Sklansky ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Flow Velocity ◽  
Surface Area ◽  
Body Surface Area ◽  
Body Surface ◽  
Normal Subjects ◽  
Transmitral Flow ◽  
And Gender

Left Ventricular Hypertrophy in Adolescents with Elevated Blood Pressure: Assessment by Chest Roentgenography, Electrocardiography, and Echocardiography

PEDIATRICS ◽  
1981 ◽  
Vol 67 (2) ◽  
pp. 255-259
Author(s):  
W. Pennock Laird ◽  
David E. Fixler
Keyword(s):  
Blood Pressure ◽  
Left Ventricular Hypertrophy ◽  
Surface Area ◽  
Body Surface Area ◽  
Body Surface ◽  
Ventricular Hypertrophy ◽  
Left Ventricular ◽  
Elevated Blood ◽  
Control Subjects ◽  
Normotensive Control

The purpose of this study was to assess the prevalence of left ventricular hypertrophy in adolescents with persistently elevated blood pressures. Chest roentgenograms, electrocardiograms, and echocardiograms were performed on 50 adolescents with elevated blood pressure and 50 matched normotensive control subjects. No subject in either group demonstrated cardiomegaly on x-ray. Interpretation of the electrocardiograms indicated that similar numbers of both hypertensive (7/50) and control subjects (8/50) had ECG evidence of left ventricular hypertrophy. The echocardiograms showed that the mean left ventricular wall thickness (LVWT) in the hypertensive adolescents was 7.8 mm ± 0.1 (SE), compared with 6.5 ± 0.1 in the control subjects (P < .001). When the measurements were indexed to body surface area, the difference remained highly significant. Indexed left ventricular mass (LVM)/body surface area (BSA) was also significantly greater (P < .001) in the hypertensive (84.2 gm/sq m ± 2.1) than in the control subjects (72.0 ± 2.1). Using data from the normotensive control subjects, we defined the 95th percentile for both LVWT/BSA and LVM/BSA. Among hypertensive adolescents, 9/50 had LVWT/BSA and 8/50 had LVM/BSA above this level. For control subjects, only 1/50 had elevated LVWT/BSA values and 2/50 elevated LVM/BSA values. This study demonstrates that hypertensive adolescents have an increased prevalence of left ventricular hypertrophy and that echocardiography is the most useful noninvasive method to detect these changes.

scholarly journals Body Surface Area and Baseline Blood Pressure Predict Subclinical Anthracycline Cardiotoxicity in Women Treated for Early Breast Cancer

PLoS ONE ◽  
2016 ◽  
Vol 11 (12) ◽  
pp. e0165262 ◽  
Author(s):  
Paul Kotwinski ◽  
Gillian Smith ◽  
Jackie Cooper ◽  
Julie Sanders ◽  
Louise Ma ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Blood Pressure ◽  
Surface Area ◽  
Body Surface Area ◽  
Early Breast Cancer ◽  
Body Surface ◽  
Baseline Blood Pressure ◽  
Anthracycline Cardiotoxicity

scholarly journals How should renal hemodynamic data be indexed in obesity?

1995 ◽  
Vol 5 (9) ◽  
pp. 1709-1713 ◽  
Author(s):  
R E Schmieder ◽  
A H Beil ◽  
H Weihprecht ◽  
F H Messerli
Keyword(s):  
Blood Pressure ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Surface Area ◽  
Body Surface Area ◽  
Arterial Blood Pressure ◽  
Body Surface ◽  
Normal Weight ◽  
Arterial Blood ◽  
Obese Subjects

Clearance data are customarily indexed to body surface area of 1.73 m2. This study examined whether this standard procedure gives correct values for renal perfusion in obese subjects. In 215 subjects who varied in age, gender, height, weight, obesity, and mean arterial blood pressure, RPF was determined by measuring the clearance of (131I)para-aminohippuric acid. Multiple regression analysis of the whole study group revealed that age (beta = -0.44, P < 0.001), height (beta = +0.25, P < 0.01), and arterial blood pressure (beta = -0.19, P < 0.01) were independent predictors of RPF, but that weight or body mass index was not. When related to body surface area, RPF appeared to decline with increasing obesity as follows: normal weight, 609 +/- 153 mL/min per 1.73 m2; overweight, 572 +/- 149 mL/min per 1.73 m2; severely overweight, 530 +/- 145 mL/min per 1.73 m2 (P < 0.012). In contrast, RPF related to height reflected a pattern concordant with the multiple regression analysis: normal weight, 3.76 +/- 0.9 mL/min per meter; overweight, 3.86 +/- 1.0 mL/min per meter; and severely overweight, 3.86 +/- 1.0 mL/min per meter (not significant). A separate repetition of the whole analysis for both normotensive (N = 55) and hypertensive subjects (N = 160) revealed a result similar to that found for the whole group. Thus, our results show that obesity was not a determinant of RPF, and when related to body surface area, inappropriately low values of RPF were calculated for obese patients. It was concluded that RPF values correlate with height and not with surface area in obese subjects.

Blood pressure load per body surface area is higher in women than in men

2020 ◽  
Author(s):  
Päivi E. Korhonen ◽  
Samuel Palmu ◽  
Hannu Kautiainen ◽  
Johan G. Eriksson
Keyword(s):  
Blood Pressure ◽  
Surface Area ◽  
Body Surface Area ◽  
Body Surface ◽  
Pressure Load ◽  
Blood Pressure Load

The Effect of Insulin on the Rise in Blood Pressure and Plasma Aldosterone after Angiotensin II in Normal Man

1983 ◽  
Vol 64 (4) ◽  
pp. 383-386 ◽  
Author(s):  
H. Vierhapper ◽  
W. Waldhäusl ◽  
P. Nowotny
Keyword(s):  
Blood Pressure ◽  
Angiotensin Ii ◽  
Surface Area ◽  
Body Surface Area ◽  
Body Surface ◽  
Serum Potassium ◽  
Intravenous Infusion ◽  
Serum Insulin ◽  
Plasma Aldosterone ◽  
Normal Man

1. The effect of an intravenous infusion of insulin [2.5 units h−1 (m2 of body surface area)−1] on the rise in blood pressure and plasma aldosterone after intravenous angiotensin II (5, 10, and 20 ng min−1 kg−1) was investigated in six healthy, sodium-loaded men. 2. Serum insulin reached 96.8 ± 18.1 μ-units/ml (control: 7.0 ± 1.5 μ-units/ml) and serum potassium fell from 4.2 ± 0.2 mmol/l to 3.6 ± 0.2 mmol/l (P < 0.005). 3. Hyperinsulinaemia increased (P < 0.05) the secretion of aldosterone during the largest dose of angiotensin II (20 ng min−1 kg−1), but had no effect on the rise in blood pressure after angiotensin II.

Risk Factors for Bleeding during Treatment of Acute Venous Thromboembolism

1996 ◽  
Vol 76 (05) ◽  
pp. 682-688 ◽  
Author(s):  
Jos P J Wester ◽  
Harold W de Valk ◽  
Karel H Nieuwenhuis ◽  
Catherine B Brouwer ◽  
Yolanda van der Graaf ◽  
...  
Keyword(s):  
Risk Factors ◽  
Venous Thromboembolism ◽  
Surface Area ◽  
Body Surface Area ◽  
Body Surface ◽  
Small Body ◽  
Bleeding Risk ◽  
Risk Scores ◽  
Risk Of Bleeding ◽  
Acute Venous Thromboembolism

Summary Objective: Identification of risk factors for bleeding and prospective evaluation of two bleeding risk scores in the treatment of acute venous thromboembolism. Design: Secondary analysis of a prospective, randomized, assessor-blind, multicenter clinical trial. Setting: One university and 2 regional teaching hospitals. Patients: 188 patients treated with heparin or danaparoid for acute venous thromboembolism. Measurements: The presenting clinical features, the doses of the drugs, and the anticoagulant responses were analyzed using univariate and multivariate logistic regression analysis in order to evaluate prognostic factors for bleeding. In addition, the recently developed Utrecht bleeding risk score and Landefeld bleeding risk index were evaluated prospectively. Results: Major bleeding occurred in 4 patients (2.1%) and minor bleeding in 101 patients (53.7%). For all (major and minor combined) bleeding, body surface area ≤2 m2 (odds ratio 2.3, 95% Cl 1.2-4.4; p = 0.01), and malignancy (odds ratio 2.4, 95% Cl 1.1-4.9; p = 0.02) were confirmed to be independent risk factors. An increased treatment-related risk of bleeding was observed in patients treated with high doses of heparin, independent of the concomitant activated partial thromboplastin time ratios. Both bleeding risk scores had low diagnostic value for bleeding in this sample of mainly minor bleeders. Conclusions: A small body surface area and malignancy were associated with a higher frequency of bleeding. The bleeding risk scores merely offer the clinician a general estimation of the risk of bleeding. In patients with a small body surface area or in patients with malignancy, it may be of interest to study whether limited dose reduction of the anticoagulant drug may cause less bleeding without affecting efficacy.

The use of Body Surface Index as a Better Clinical Health indicators Compare to Body Mass Index and Body Surface Area for Clinical Application

2018 ◽  
pp. 131-136
Author(s):  
Shirazu I. ◽  
Theophilus. A. Sackey ◽  
Elvis K. Tiburu ◽  
Mensah Y. B. ◽  
Forson A.
Keyword(s):  
Surface Area ◽  
Body Surface Area ◽  
Clinical Application ◽  
Body Surface ◽  
Body Height ◽  
Health Indicators ◽  
The Body ◽  
Body Parameters ◽  
The Relationship ◽  
Individual Body

The relationship between body height and body weight has been described by using various terms. Notable among them is the body mass index, body surface area, body shape index and body surface index. In clinical setting the first descriptive parameter is the BMI scale, which provides information about whether an individual body weight is proportionate to the body height. Since the development of BMI, two other body parameters have been developed in an attempt to determine the relationship between body height and weight. These are the body surface area (BSA) and body surface index (BSI). Generally, these body parameters are described as clinical health indicators that described how healthy an individual body response to the other internal organs. The aim of the study is to discuss the use of BSI as a better clinical health indicator for preclinical assessment of body-organ/tissue relationship. Hence organ health condition as against other body composition. In addition the study is `also to determine the best body parameter the best predict other parameters for clinical application. The model parameters are presented as; modeled height and weight; modelled BSI and BSA, BSI and BMI and modeled BSA and BMI. The models are presented as clinical application software for comfortable working process and designed as GUI and CAD for use in clinical application.

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