Studies on body water in man. II. Body water compartments in normal subjects and edematous patients.
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Although body water content and effective water half-life have been determined in several mammalian species, including man, these measurements are not available for sub-human primates to our knowledge. Values were therefore determined in a group of rhesus and cynomolgus monkeys. A fairly wide range of water half-life values was found in each of the two species between animals, but there was little variation within animals who had more than one determination over the course of 1 year. Mean values for effective water half-life were 7.2 days and 3.7 days for naturally menstruating females of the cynomolgus and rhesus species, respectively. Water half-life in female rhesus monkeys with artificial menstrual cycles averaged 6.2 days. Females of both species had a similar percentage of body water content of 64%. Water half-life measured 7.1 and 8.5 days in two male rhesus; and water content was 62% of body weight in one of these animals.
Total body water (TBW) and total body potassium (TBK) were studied in 40 ileostomists before (with conventional ileostomy) and one year after conversion to a continent ileostomy. Each patient acted as his own control. Total body water was determined by using an isotope dilution technique and TBK by counting the gamma radiation from the naturally present nuclide 40K in a whole body counter. Measured values of TBW and TBK were compared intraindividually (conventional versus continent ileostomy) and also with 'normal values' obtained from the same laboratory and based on a multiple regression analysis of data from 476 healthy controls. There was no evidence of water or potassium depletion in ileostomy patients, neither before nor after construction of the continent ileostomy.
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BACKGROUND: The purpose of this study was to clarify the influence of change of total body water caused by exercise and drinking, on relative body fat (%BF) based on three bioelectrical impedance analyses (BIA) methods, between hand and foot (H-F), between hand and hand (H-H), and between foot and foot (F-F). METHODS: The subjects were 30 Japanese healthy young adults aged 18 to 23 years (15 males, 15 females). Measurements were made three times for each BIA method; before and after exercise with sweat, and after drinking, and also twice according to the under water weighing (UW) method, before exercise and after drinking. A pedaling exercise, with a bicycle ergometer, was used for 60 minutes as the exercise. RESULTS: The relationship of %BF between the UW method and each BIA method was mid-range or more (r=0.765-0.839). However, %BF based on the H-F and F-F BIA methods were higher than that based on the UW method. After drinking, %BF of all the BIA methods were higher than the UW method. %BF of the BIA methods after exercise indicated values lower than those before exercise. %BF of the H-F and H-H BIA methods after drinking were a little higher than those before exercise, indicating that those measurements reflect a slight change of body water. CONCLUSIONS: It was demonstrated that %BF of any BIA method reflect the change of body water caused by exercise, sweating, and drinking.
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Body water estimates were obtained within 12 h of birth in 52 infants of non-diabetic mothers and 61 infants of diabetic mothers. Neonates were grouped as normally-grown or macrosomic. Total body water and extracellular water were estimated from antipyrine space and corrected bromide space, respectively. Intracellular water was assumed to be the difference between total and extracellular water. Infants of diabetic mothers, whether normally-grown or macrosomic, had markedly less mean total body water than normally-grown neonates of non-diabetic mothers. No effect of neonatal macrosomia or maternal diabetes on extracellular and intracellular water estimates could be detected with the techniques used. It is suggested that changes in total body water occur as a result of excessive fat accretion during fetal life.
In the ill hospitalized patient with clinically relevant malnutrition, there is a measurable decrease in the ratio of the total body potassium to total body water (TBK/TBW) and a detectable increase in the ratio of total exchangeable sodium to total exchangeable potassium (Nae/Ke). To evaluate body composition analyses in anorexia nervosa patients with chronic uncomplicated semistarvation, TBK and TBW were measured by whole body K40 counting and deuterium oxide dilution in 10 females with stable anorexia nervosa and 10 age-matched female controls. The ratio of TBK/TBW was significantly (p less than 0.05) higher in anorexia nervosa patients than controls. The close inverse correlation found in published studies between TBK/TBW and Nae/Ke together with our results suggest that in anorexia nervosa, Nae/Ke may be low or normal. A decreased TBK/TBW is not a good indicator of malnutrition in the anorexia nervosa patient. The use of a decreased TBK/TBW ratio or an elevated Nae/Ke ratio as a definition of malnutrition may result in inappropriate nutritional management in the patient with severe nonstressed chronic semistarvation.
BACKGROUND: Indirect methods such as anthropometry (A), Watson formula (W), creatinine kinetics (CK), and body electrical impedance (BEI) are increasingly applied to determine total body water (TBW) and lean body mass (LBM) in dialysis patients. These methods share the disadvantage that they have been validated for healthy men only. We studied which of these four commonly applied methods can best be used routinely in CAPD patients. METHODS: TBW estimates obtained from A, W, CK, and BEI were compared with those obtained by a gold standard (antypirine distribution volume, ADV) in eight CAPD patients. In addition, several BEI equations to derive lean body mass (LBM) were compared with LBM estimated by ADV in order to determine which equation is the most valuable for the assessment of LBM by BEI in CAPD patients. RESULTS: TBW as ADV was 41.4 +/- 6.6 (mean +/- SD) L. TBW estimated by W, A and CK underestimated ADV by a mean +/- SD of 2.3 +/- 13, 5 +/- 8.4 and 12.3 +/- 10.9% respectively. TBW as measured by BEI overestimated ADV by 2.5 +/- 8.8%. The correlation coefficients between ADV-TBW and TBW estimated by the indirect methods were r = 0.88 (A), r = 0.87 (BEI), r = 0.82 (CK), and 0.68 (W). LBM estimated by ADV was 56.7 +/- 8.9 (mean +/- SD) kg; LBM by different BEI equations ranged from 49.9 +/- 7 to 58.1 +/- 10.7 kg. The correlation coefficient between LBM by ADV and LBM according to the various BEI equations ranged from 0.81 to 0.93. CONCLUSION: A and BEI can be used to estimate TBW, but the considerable SD (or inaccuracy) makes individual predictions hazardous. Considering the correlation coefficients and difference between LBM by ADV and LBM according to different BEI equations, Deurenberg's formula can be advocated for use in the estimation of LBM by BEI.
Measurements of body composition were made on 104 women aged 14-60 years whose fat content varied from 6 per cent to 60 per cent of body weight. Estimates of fat content were systematically lower when based on a measurement of body density than when based on body water, and were higher still when based on total body potassium. When body weight and body fat were corrected for stature by dividing by height squared there was a coefficient of correlation between these two variables of 0.936, 0.921 and 0.938 for estimates of fat based on density, water and potassium respectively. When the mean of all three estimates of fat was used the correlation was 0.955. Neither the slope of the regression line nor the strength of the correlation was affected if gross body weight was correlated with total body fat without correction for stature. It is concluded that differences in weight between women of similar height is attributable to tissue which is 70-78 per cent fat and 22-30 per cent lean, and that in the treatment of obese patients it is desirable that no more than 22 per cent of the weight loss should be lean tissue.
Total body water (TBW) was determined on 35 subjects with a tritium (HTO) and an ethanol (ETH) dilution method, the latter using breath analyses for blood ethanol content. Lean body mass (LBM) was estimated by hydrostatic weighing. Mean values for water fraction (TBW/wt) were 0.618 +/- 0.05 with HTO and 0.603 +/- 0.06 with ETH. The difference was not significant. The correlation between the two methods was highly significant (r = 0.90, SEE = 3.5 liters, P less than 0.0001). High correlations were also found between TBW and LBM with either method for TBW (r = 0.94 with HTO, r = 0.91 with ETH). Mean values for TBW/LBM were 0.735 with HTO and 0.717 with ETH. The ETH method compares favorably with the HTO, it has the advantage that it is nonradioactive and can be repeated daily if necessary.
OBJECTIVE: The goal of this study was to compare the adequacy of single and multifrequency bioimpedance analysis (BIA) to evaluate body water compartments, body composition, and nutritional status in maintenance hemodialysis patients. DESIGN: Cross-sectional study. SETTING: University-based hemodialysis unit. PATIENTS: Nineteen patients (12 male, 7 female), ages 28 to 82 years (mean, 58.9), treated with maintenance hemodialysis (MHD) for 0.5 to 15 years (mean, 7.3). INTERVENTION: This was a noninterventional study. Patients gave their informed consent to the diagnostic procedures performed. MAIN OUTCOME MEASURES: Total body water (TBW), extracellular water (ECW), fat-free mass (FFM), and body cell mass (BCM) volumes were estimated with single-frequency (sf BIA) and multifrequency (mf BIA) plethysmographs before and after a midweek dialytic session. Predialysis TBW also was estimated from anthropometric data (e TBW). Serum albumin, prealbumin and myoglobin, and creatinine index were determined as indicators of nutritional status and muscle mass. RESULTS: Sf BIA and mf BIA gave very similar results for TBW volumes. A high linear correlation was also found between e TBW values and both sf TBW and mf TBW; however, a statistically significant difference was found between e TBW and sf and mf TBW. Sf BIA and mf BIA gave quite different results for ECW, particularly when measured predialysis. The results obtained for FFM indicate a poor agreement between sf and mf BIA. The agreement was better when FFM was measured postdialysis. The values of BCM, either measured predialysis or postdialysis, indicate a significant difference between sf and mf BIA. FFM and BCM estimated with mf BIA had a closer correlation with creatinine index than sf BIA. mf BCM had also a higher correlation with serum myoglobin, which is produced by muscle cells. CONCLUSIONS: TBW can be estimated with enough confidence from either sf or mf BIA at any time. On the contrary, the results of ECW are significantly different with sf and mf BIA when measured predialysis. Thus, it seems more convenient to perform BIA after dialysis, in particular when assessing the "ideal" body weight. The measurements of FFM and BCM, obtained with either sf or mf BIA, are correlated with different indicators of nutritional status. In particular, mf BCM seems more appropriate than sf BCM for estimating muscle mass.
The determinations of total body water, body density, surface area and Lee index were carried out on 15 live Sprague-Dawley rats. The rats were subsequently sacrificed and subjected to carcass analysis by desiccation, gravimetry and ether extraction of body fat. The results of multiple regression using the maximum R2 improvement technique indicated that a strong correlation existed only between body fat and total body water which was statistically significant (P = 0.0001). The regression equation representing such a relationship was % of body fat = 83.167-1.067 X (% total body water). The % body fat computed from density, multiple regression models, and the actual fat content of carcass were not significantly different by the Newman-Keuls range test. The validation of the predicting equation was done using lean and obese Zucker rats. It was found that the predicting equation overestimated body fat by 0.67% for lean rats and underestimate 1 body fat of obese Zucker rats by 3.57%.
BACKGROUND: Haemodilution contributes to a low post-operative haemoglobin concentration in cardiac surgery patients. An assessment of the degree of haemodilution could contribute to the avoidance of red cell transfusion when such an act is based simply on a haemoglobin "transfusion trigger". We have recorded post-operative change in total body water along with body weight to assess the impact of haemodilution on haemoglobin concentration. METHODS: Total body water, measured by bio-electrical impedance analysis, haemoglobin and body weight were measured pre-operatively and on the 1st, 3rd, 5th and 10th post-operative days. The percentage peri-operative change in all three variables was used to examine the paired associations. RESULTS: Total body water and body weight underwent a fall from day 1, with both variables significantly associated up until day 10. Haemoglobin rose steadily from day 1 to 10. This rise was associated with falling total body water and body weight until day 5, but not from day 5 to 10. CONCLUSION: Following cardiac surgery, an individual's fluid state should be considered in determining a patient's need for red cell transfusion. Monitoring body weight provides a simple estimate. Such an approach may reduce the incidence of unnecessary, and potentially counterproductive, transfusion in cardiac surgery patients.
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Waste waters released by oil-processing and petrochemical enterprises are characterized by high amounts of oil products, polycyclic and aromatic hydrocarbons, phenols, metal derivatives, surface-active substances, sulfides, naphthylenic acids and other chemicals. Due to ineffectiveness of purification systems, the waste waters grow into serious danger for water bodies. Control taking into account some priorities suggested should cover contents of the waste waters before the inflow into water bodies as well as quality of waters in the sources.