Early alterations in the cardiovascular structure and function may change normal body water distribution. The resulting fluid shifts may thus serve as an early marker for cardiovascular disease. However, studies examining this in healthy populations are absent.
This study examined the association between the proportion of total body water that is extracellular water and subsequent development of non-fatal or fatal cardiovascular disease in a healthy population.
Bioelectrical impedance spectroscopy is an easy-to-use, non-invasive and relatively inexpensive technique to evaluate changes in body water distribution. A random subset (n = 2120) of Danes aged 41-71 years, examined in 1993–1994 for body water distribution by bioelectrical impedance spectroscopy was included. Cox-proportional hazard models and linear splines were performed. The ratio between resistance estimates from an infinite-frequency and from no-frequency (R∞/R0) was used as a surrogate measure of ratio between extracellular water and total body water. The outcome was 13.5 years of follow-up for cardiovascular morbidity and mortality.
A high proportion of total body water that is extracellular water was associated with increased risk of incident cardiovascular disease. A threshold effect was evident, with greatly increased risk of cardiovascular morbidity and mortality above R∞/R0 = 0.68. Below the threshold there seemed to be no additional benefit of having a low ratio.
Our findings suggest that non-clinically evident oedema, measured as an increased proportion of total body water that is extracellular, above a threshold of 0.68, may be an early marker of pre-clinical cardiovascular disease. This simple, safe, cheap and easily obtainable measure of R∞/R0 from bioelectrical impedance may help the early identification of these otherwise clinically healthy individuals who are at an increased risk of future cardiovascular disease. However, more studies are needed before it can be concluded that bioelectrical impedance spectroscopy improves clinical risk prediction.
Citation: Knudsen NN, Kjærulff TM, Ward LC, Sæbye D, Holst C, Heitmann BL (2014) Body Water Distribution and Risk of Cardiovascular Morbidity and Mortality in a Healthy Population: A Prospective Cohort Study. PLoS ONE9(2): e87466. https://doi.org/10.1371/journal.pone.0087466
Editor: Stefan Kiechl, Innsbruck Medical University, Austria
Received: September 13, 2013; Accepted: December 27, 2013; Published: February 3, 2014
Copyright: © 2014 Knudsen et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: The authors have no support or funding to report.
Competing interests: The authors have declared that no competing interests exist.
As body water distribution may change already in the very early phases during disease development, the possibility of measuring such early fluid shifts may be an attractive marker of preclinical disease. A number of studies have investigated the association between various measures of water distribution and health outcomes in different patient groups. For example, studies investigating fluid imbalances in patients with advanced colorectal cancer, lung cancer, breast cancer or pancreatic cancer have found lower survival among those patients with a high proportion of extracellular-to-intracellular water (ECW/ICW) determined by phase angle – an indicator of water distribution obtained from impedance technology –. The same association between fluid imbalance and prognostic outcomes (e.g. survival time) was found in studies investigating patients with conditions such as chronic obstructive pulmonary disease, acute heart failure, hepatitis C infection, HIV, renal diseases and patients receiving peritoneal dialysis –. Similarly, two studies investigating dengue virus infection in children or patients with suspected bacteraemia found an expansion of extracellular water (ECW) to be correlated with subsequent increased disease severity and mortality. These studies all found an enlarged ECW proportion to be associated with later disease severity and premature death in a variety of sick populations , . Studies have also found body water balance and distribution to be associated with blood viscosity and the functioning of large arteries and thereby related to future risk of cardiovascular disease (CVD) , . However, it remains to be investigated as to whether commonly detected alterations or differences in body water distribution in a healthy population may have future clinical implications.
We hypothesise that an increased ECW volume, expressed as an elevated extracellular to total body water ratio, may predict a dysfunctional cardiovascular system and hence preclinical CVD. The aim of the present study was therefore to examine the association between water distribution, determined by bioelectrical impedance spectroscopy (BIS), and later morbidity and mortality from CVD in a random population sample of healthy individuals after accounting for covariates from a range of anthropometric variables and lifestyle factors.
Materials and Methods
The data was part of the Danish MONICA (Monitoring Trends in Cardiovascular Disease) study, which is a longitudinal population-based study sampled from the greater Copenhagen area. The first MONICA survey was carried out in 1982–1983 as an age-stratified sample of subjects born in 1922, 1932, 1942 and 1952 selected at random from the Danish Civil Registration System (n = 4807) . Subjects not born in Denmark were excluded from the study (n = 226). Out of the 4581 subjects, 3608 (79%) underwent a general health examination. The present study was based on the data collection from the third survey conducted between May 1993 and November 1994 (n = 2656) and included measures of BIS . All subjects with formerly registered cancer diagnoses or self-reported diabetes or intake of diuretics (n = 247), as well as subjects with a registered CVD diagnose before 1993–1994 (n = 190), were excluded from further study. Furthermore, only those with complete information on impedance measurements were included. The final sample included 822 women and 861 men, who were followed for development of incident CVD morbidity and mortality from examination until 8 July 2007.
Information on non-fatal and fatal CVD during follow-up was retrieved from the Danish National Patient Register  and the Danish Register of Causes of Death . Subjects were followed for an average of 13.5 years. For incidence of CVD, ICD-8 codes 390–458 and ICD-10 codes I00-I99 were used. Generally, there is minimal loss to follow-up from these registers because all Danish citizens have a unique personal identification number that renders linkage at the individual level between these nationwide registers and other data sources possible .
The data collection was done with permission from the Danish Data Protection Agency. All subjects gave written informed consent and the project was approved by the Committee on Biomedical Research Ethics for the Copenhagen County. The project is in accordance with the Helsinki Declaration of 1975 as revised in 1983 on human rights.
Bioelectrical impedance measurements
Measurements of whole body, wrist to ankle, impedance were made using an SEAC SFB3 impedance spectrometer (SEAC-ImpediMed Ltd, Brisbane) and the tetrapolar method of electrode arrangement. The protocol for measuring BIS in this study was similar to that recommended by the European Society for Parenteral and Enteral Nutrition (ESPEN) for clinical applications . Prior to examination, the subjects had fasted for 12 hours over night. The subjects were lying relaxed on a couch while attention was paid to the abduction of limbs, as, for reasons of conductivity, it is important that the legs are separated and that the arms are at a distance from the trunk. The same nurse took all measurements. Additionally, contact with any metal parts on the couch was avoided to eliminate electrical conduction. The environment was electromagnetically neutral with no strong electrical or magnetic fields and at an ambient temperature of approximately 23–24°C. Silver-silver chloride EKG-style gel electrodes were placed on the individual patient’s skin with two electrodes, through which the alternating electric current entered the body, attached to the dorsal surface of the right hand and foot, at the distal metacarpals and metatarsals, respectively. Two detection electrodes were placed on the wrist and the ankle, between the distal prominences of the radius and ulna at the wrist and the medial and lateral malleoli at the ankle. Resistance and reactance were measured at 496 discrete frequencies in the range 4–1012 kHz. From these data the resistance at zero (R0) and infinite frequencies (R∞) were determined according to Cole theory . R0 can be used to predict ECW because cell membranes are impermeable to the current at very low frequency, while resistance at an infinite frequency (R∞) can be used to predict TBW because the cell membrane is permeable to the current at high frequency and hence flows through TBW . Coefficients of variation of measurement have been determined previously : 0.26% and 0.17% for R0 and R∞, respectively. In the present study the impedance ratio of R∞/R0, was used as a surrogate measure of the ratio ECW/TBW, henceforth referred to as the ECW proportion (note the inverse relation between ECW and R0, and TBW and R∞, respectively) .
The covariates were chosen a priori. Systolic and diastolic blood pressures were measured with a London School of Hygiene sphygmomanometer, with one of three different cuffs. Duplicate measurements were performed on the left arm after a minimum of five minutes’ rest in a supine position. Means of duplicate measurements were calculated. High-density lipoprotein (HDL), low-density lipoprotein (LDL), and triglyceride concentrations were measured from blood samples drawn after a 12-hour overnight fast. Commercial enzymatic methods (Boehringer Mannheim, GmbH, Mannheim, Germany) were used to analyse for the lipids. All anthropometric measures were taken at baseline in accordance with WHO standards .
Information on lifestyle factors was retrieved through a detailed self-administrated questionnaire at baseline. Information on smoking status from 1993–1994 and 1982–83 was used to calculate pack years of smoking (years of smoking x daily tobacco consumption (g) divided by 20 (cigarrettes per package)) for current and previous smokers. Alcohol consumption was included in the analysis as a continuous variable, where one unit of alcohol corresponds to 1 beer, 1 glass of wine or 4 cl. of spirits. Physical activity was categorised into sedentary (sedentary), light exercise (light activity at least 4 hrs/week), and hard exercise (strenuous exercise at least 3 hrs/week). Educational level was included in the analyses as a continuous covariate on a scale counting years of education. Finally, the questionnaire asked, “Has your doctor ever told you that you have had either: diabetes, coronary thrombosis, other heart disease, stroke, pulmonary thrombosis or embolus?”, with the response categories yes/no. Together with the health information from the Danish registers on previous diagnoses this information was used in order to exclude anyone with a known diagnosis from the study, so that only healthy individuals were followed up.
The information obtained from registers on previous diseases included all previous cancers from the Danish Cancer Registry , and all CVD from the Danish National Patient Register . For incidence of cancer, ICD-7 codes 140–148, 150–165, 170–181 and 192–207 were used; for incidence of CVD, ICD-8 codes 390–458 and ICD-10 codes I00-I99 were used.
We used Mann-Whitney U tests and χ2 tests to compare the distribution of the variables between those who experienced or died of CVD and the remaining subjects. Cox proportional hazard regression models were performed with age during follow-up as the underlying time scale . Participants’ age at measurement of BIS defined the age at entry.
We fitted a series of four models examining the association between water distribution and CVD morbidity and mortality under different adjustments schemes. The crude Model 1 was adjusted for birth cohort and sex. Model 2 was adjusted for sex, birth cohort, alcohol intake, smoking, educational level, physical activity and BMI. Model 3 was additionally adjusted for systolic and diastolic blood pressure. Finally, Model 4 also included waist circumference and concentration of HDL, LDL and triglyceride. In order to examine potential sex differences in the association we also conducted the analyses for men and women separately. Furthermore, we conducted a sensitivity analysis with only fatal CVD cases as the outcome as well as two analyses that included information on measured hypertension at baseline: one analysis included hypertension at baseline as a confounder in the four models and the other analysis excluded subjects with hypertension at baseline.
Restricted cubic splines with three knots placed at impedance ratios of 0.65 (10th), 0.69 (50th) and 0.73 (90th) to allow for non-linear effects of the continuous effect variable were used to graph the hazard ratios (HR). The splines were restricted to being linear below the first knot and after the last knot. The curves had a shape indicating a threshold effect in the curve minimum. The minimum value was 0.6831 (hereafter 0.68) in the fully adjusted model with only slight deviation across the four models. In the final analyses HRs were calculated below and above the impedance ratio of 0.68. The proportional hazards assumption was examined with Schoenfeld residuals and found no indication of problems regarding non-proportionality . Analyses were performed using STATA 9 and SPSS 17.0.
Over approximately 13.5 years of follow-up, 299 men and 227 women experienced or died of incident CVD. Table 1 provides information on the anthropometric variables and lifestyle factors for subjects with and without incident non-fatal or fatal CVD shown for men and women. Compared with the men who experienced or died from CVD during follow-up, baseline R∞/R0, BMI, waist circumference, systolic blood pressure, diastolic blood pressure, triglycerides and the amount of smoked pack years were generally lower for men who did not experience CVD, whereas baseline HDL, years of education and hard physical activity were greater for those who did not experience CVD. There was no significant difference in LDL or alcohol intake between the men who did not experience CVD and those who experienced or died of CVD. Similar observations were generally made for women, although not significantly so for BMI, HDL, pack years and physical activity. Among the women, those who experienced or died from CVD had a significantly higher baseline level of LDL compared to the women who did not experience CVD.
The association between ECW proportion and CVD morbidity and mortality was examined in four different adjustment models. Figure 1 shows the predicted HRs and confidence intervals for having a high proportion of ECW on subsequent development of non-fatal or fatal CVD for the crude Model 1. Above an impedance ratio, R∞/R0, of 0.68, the risk of morbidity and mortality from CVD was significant and increased steadily, whereas below this value there was no significant association between the impedance ratio and risk of morbidity and mortality from CVD indicating a threshold effect at 0.68. The shape of the curves was essentially similar before and after adjustment for covariates as seen in Figures 1 and 2 (fully adjusted Model 4). Only small differences in HRs for R∞/R0 above 0.68 could be observed for the four different models.
Figure 1 illustrates the HRs for CVD morbidity and mortality as a function of impedance ratio among 1683 healthy subjects when adjusting for birth cohort and sex. The curve shows that a threshold effect for high impedance ratio on CVD morbidity and mortality was evident at around 0.68; below this threshold the risk of having a higher ECW proportion carried no further risk of CVD morbidity or mortality. Abbreviations: CVD (cardiovascular disease), R∞/R0 (impedance ratio).
Figure 2 shows the HRs for CVD morbidity or mortality according to impedance ratio among 1622 healthy subjects when adjusting for birth cohort, sex, alcohol, smoking, educational level, physical activity, BMI, systolic and diastolic blood pressure, HDL, LDL, triglycerides and waist circumference. The figure illustrates that the association between the impedance ratio and CVC morbidity and mortality remains after adjusting for potential confounders. Abbreviations: CVD (cardiovascular disease), R∞/R0 (impedance ratio).
Tables 2 shows the predicted HRs and confidence intervals for various centiles in the distribution of the impedance ratio (the 2.5th, 5th, 10th, 25th, 50th, 75th, 90th, 95th and 97.5th centiles) in relation to cardiovascular morbidity and mortality. The reference HR is for those with a median impedance ratio, which in this case is close to the threshold value. An impedance ratio above median was related to an increased risk of cardiovascular morbidity and mortality. The quarter of subjects with the highest impedance ratio had more than a 10% increased risk of CVD morbidity and mortality compared to those with a median impedance ratio. Furthermore, the 10% of subjects with the highest impedance ratio had around a 30% increased risk of CVD morbidity and mortality and the 5% of subjects with the highest impedance ratio had an increased risk of approximately 50%.
In order to examine whether the effect of a high impedance ratio on CVD morbidity and mortality differed by sex, the analyses were conducted for men and women separately; however, associations were essentially similar for both sexes. Moreover, the interaction between the impedance ratio and sex was included in all models. Neither the estimated HRs of the interaction nor the graphical display of the curves for men and women provided evidence for sex differences in the observed association. Finally, sensitivity analyses were made for the fatal CVD endpoints exclusively. In total only 52 men and 30 women died from CVD during follow-up. These additional analyses generally showed no significantly increased hazard among the subjects in the groups with the highest centiles of the impedance ratio.
More than 1 out of 6 subjects in the study population had moderate hypertension (>140/90) when examined in 1993–1994. However, results were similar after further adjusting for presence of hypertension. Additionally, an analysis excluding individuals with hypertension gave approximately the same results.
Oedema is a clinical indicator of malfunction in the mechanisms regulating body water distribution. In the self-reported questionnaire the subjects responded to the question, ”Do your legs swell during the day?” with the response categories yes/no. A total of 264 subjects, corresponding to 15.7% of the study population with information on this question (n = 1677), indicated that they had swollen legs. When examining the association between swollen legs and the impedance ratio we found that the incidence of swollen legs rose with increasing impedance ratio. However, a clinical focus on swollen legs is not sufficient to identify all subjects who, according to our model, are at high risk of CVD morbidity and mortality seeing that among subjects in the highest decile of impedance ratio only around 28% reported swollen legs (Figure 3).
Figure 3 shows the percentage of the study population that reports swelling of the legs during the day in each of the impedance ratio deciles. The figure illustrates a rise in the incidence of swollen legs with increasing impedance ratio. Abbreviations: R∞/R0 (impedance ratio).
We performed a non-response analysis using Mann-Whitney U and χ2 comparing those excluded due to incomplete impedance measurements with those having complete information on all impedance measures. We found no significant differences in the distribution of covariates between the groups except that subjects with complete impedance measures included in this study had significantly higher systolic and diastolic blood pressure and tended to be slightly younger.
Furthermore, the number of subjects who experienced or died of CVD was not significantly different when comparing those with and without complete impedance measurements.
In a population sample of healthy adult Danes, we demonstrated a strong and independent association between excess ECW, as measured by the impedance ratio, and development of non-fatal or fatal CVD over the subsequent almost 13.5 years, suggesting that early sub-clinical fluctuations in water balance detectable with BIS may be used to identify otherwise healthy subjects who are at high risk of subsequently developing CVD. The association was evident when R∞/R0 was above a threshold value of 0.68, indicating the existence of a critical ECW proportion for increasing the risk of CVD morbidity and mortality. Below this threshold we did not find the impedance ratio to be significantly associated with CVD morbidity and mortality. Almost half of the population had an impedance ratio above the threshold, suggesting that the measure may have great clinical relevance.
The observed association remained remarkably stable after controlling for competing risk factors of CVD, including hypertension, and a range of socioeconomic factors, thus suggesting that early fluid disturbances leading to excess ECW may serve as a biomarker for future CVD. In fact the observed fluid distribution shifts may to some extent specifically be an easily obtainable marker of early stages of, and yet undiagnosed, chronic heart failure, that may otherwise only have been discovered by a screening of this healthy population subset, using one or more of the novel biomarkers like N-terminal pro-brain natriuretic peptide . Future studies may use measures like N-terminal pro-brain natriuretic peptide to verify whether or to what extent BIS may be used to assess specifically undiagnosed chronic heart failure.
Moreover, the analyses did not show any sex difference in the association between body water distribution and CVD morbidity and mortality, thus indicating no difference in threshold values for men and women.
Earlier studies have suggested that the ratio between ECW and TBW could be used as a prognostic indicator when illness is already present. This study opens new potentials in relation to prevention of CVD among healthy individuals as the ECW proportion was found to be an early marker of undetected disease. The results of the present study do not answer whether a change in water distribution per se increases the risk of CVD or whether the expanded ratio points toward an underlying disease process. If the first suggestion is the case, it could enable a reduction in the risk of CVD by lowering extracellular fluid overload. If the second proposal is the case, the BIS method may be used to identify preclinical disease in apparently healthy subjects before CVD becomes manifest.
The pathophysiological mechanisms linking fluid balance to CVD are not fully understood. One plausible causal pathway relates extracellular fluid overload to hypertension and left ventricular hypertrophy, which are both traditional risk factors of CVD . However, our results were unaffected by the presence of hypertension. Equally, changes in fluid distribution have consequences for electrolyte and acid-base balance . However, future studies are needed to clarify the pathophysiological mechanisms and further investigate the threshold effect, as well as the association between the impedance ratio and more specific CVD outcomes.
The applicability of BIS and the interpretation of the impedance ratio
Many studies have found good agreement of water volume predictions obtained from spectroscopy measures by BIS and tracer dilutometry at the population level . Along with a range of practical advantages these findings make BIS a preferable method for determining water distribution in larger population samples.
The concept of using the ratio of impedances measured at high and low frequencies as a surrogate marker for the ratio ECW/TBW is not new , . In the present study we used R∞ and R0, the theoretically optimal measures of TBW and ECW, respectively . Alternatively, an advantage of utilising population-specific regression equations to convert the measured impedances to absolute volumes of ECW and TBW, is that the equations provide measurements that are familiar and intuitively easy to comprehend and communicate to non-specialists of BIS. Evaluating water distribution using raw impedance measurements, instead of computed volumes derived from regression models obtained in restricted samples of human subjects, however, avoids the possibility of inadvertently using an inappropriate prediction algorithm.
Interpreting the impedance ratio should be done with caution as it represents the proportion of ECW to TBW, rather than an index of volume status. An increase in the impedance ratio might result from an expanded volume of ECW or a decreased proportion of TBW due to a reduction of ICW. Indeed, an increased impedance ratio may reflect hypervolemia, or it can indicate malnutrition characterised by changes in cellular membrane integrity and alterations in the fluid balance thereby decreasing the body cell mass , .
Study strengths and limitations
A major strength of the present study is the prospective design and the large size of the population with complete impedance measures, which provided a unique opportunity to investigate our hypothesis. The non-response analysis showed no substantial differences when comparing those excluded due to incomplete impedance measures with the study population, thus indicating that selection bias did not seem to be an issue in the present study.
It may be argued though, that the exclusion of subjects with disease was incomplete as it was based on a restricted number of diagnoses. With this procedure a limited number of sick subjects, e.g. chronic haemodialysis patients, who have been found to have a higher ECW proportion compared to healthy subjects , could have been incorrectly categorised as healthy and thus included in the study population. However, the exclusion of subjects who reported intake of diuretics probably eliminated most of the chronic haemodialysis patients who furthermore represented only 2039 patients in Denmark (equivalent to 0.037% of the total Danish population (5.45 million)) in 2007 . Inclusion of subjects undergoing haemodialysis was therefore not likely to have confounded our results substantially. Also, all subjects with any previous CVD diagnosis for which they were hospitalized, were excluded, thus eliminating the possibility that any subject with a known diagnosis remained for follow up and subsequent analyses.
The present study found that among a healthy subset of adult Danes a high proportion of ECW was associated with the development of cardiovascular morbidity and mortality. The 10% of subjects with the highest impedance ratio had an approximately 30% increased risk of developing non-fatal or fatal CVD over the following 13.5 years. The increased risk was independent of lifestyle and cardiovascular risk factors such as obesity, blood pressure and cholesterol. Furthermore, a threshold effect was evident, which suggests that the association was substantial for water distribution ratios above 0.68. This study adds to the growing body of evidence regarding the clinical application of BIS-derived measures of water distribution. If future research can confirm the hypothesis of the present study, which suggests an increased R∞/R0 to be a cheap, easily obtainable and safe marker of preclinical CVD, the results may help general practitioners to identify otherwise healthy individuals with an increased risk of future CVD and early mortality.
We wish to thank all individuals who participated in this study for their contributions to the research.
Conceived and designed the experiments: BLH NNK TMK DS CH LCW. Performed the experiments: BLH NNK TMK DS CH LCW. Analyzed the data: NNK TMK DS CH LCW BLH. Contributed reagents/materials/analysis tools: BLH NNK TMK DS CH LCW. Wrote the paper: NNK TMK BLH DS CH LCW.
- 1. Gupta D, Lammersfeld CA, Burrows JL, Dahlk SL, Vashi PG, et al. (2004) Bioelectrical impedance phase angle in clinical practice: implications for prognosis in advanced colorectal cancer. Am J Clin Nutr 80: 1634–1638.
- 2. Gupta D, Lammersfeld CA, Vashi PG, King J, Dahlk SL, et al. (2008) Bioelectrical impedance phase angle as a prognostic indicator in breast cancer. BMC Cancer 8: 249.
- 3. Gupta D, Lammersfeld CA, Vashi PG, King J, Dahlk SL, et al. (2009) Bioelectrical impedance phase angle in clinical practice: implications for prognosis in stage IIIB and IV non-small cell lung cancer. BMC Cancer 9: 37.
- 4. Gupta D, Lis CG, Dahlk SL, Vashi PG, Grutsch JF, et al. (2004) Bioelectrical impedance phase angle as a prognostic indicator in advanced pancreatic cancer. Br J Nutr 92: 957–962.
- 5. Jones CH, Newstead CG (2004) The ratio of extracellular fluid to total bodywater and technique survival in peritoneal dialysis patients. Perit Dial Int 24: 353–358.
- 6. Nescolarde L, Piccoli A, Roman A, Nunez A, Morales R, et al. (2004) Bioelectrical impedance vector analysis in haemodialysis patients: relation between oedema and mortality. Physiol Meas 25: 1271–1280.
- 7. Schwenk A, Beisenherz A, Romer K, Kremer G, Salzberger B, et al. (2000) Phase angle from bioelectrical impedance analysis remains an independent predictive marker in HIV-infected patients in the era of highly active antiretroviral treatment. Am J Clin Nutr 72: 496–501.
- 8. Slinde F, Gronberg A, Engstrom CP, Rossander-Hulthen L, Larsson S (2005) Body composition by bioelectrical impedance predicts mortality in chronic obstructive pulmonary disease patients. Respir Med 99: 1004–1009.
- 9. Kahraman A, Hilsenbeck J, Nyga M, Ertle J, Wree A, et al. (2010) Bioelectrical impedance analysis in clinical practice: implications for hepatitis C therapy BIA and hepatitis C. Virol J. 7: 191.
- 10. Liu MH, Wang CH, Huang YY, Tung TH, Lee CM, et al. (2012) Edema index established by a segmental multifrequency bioelectrical impedance analysis provides prognostic value in acute heart failure. J Cardiovasc Med (Hagerstown) 13: 299–306.
- 11. Libraty DH, Endy TP, Kalayanarooj S, Chansiriwongs W, Nisalak A, et al. (2002) Assessment of body fluid compartment volumes by multifrequency bioelectrical impedance spectroscopy in children with dengue. Trans R Soc Trop Med Hyg 96: 295–299.
- 12. Schwenk A, Ward LC, Elia M, Scott GM (1998) Bioelectrical impedance analysis predicts outcome in patients with suspected bacteremia. Infection 26: 277–282.
- 13. Chan J, Knutsen SF, Blix GG, Lee JW, Fraser GE (2002) Water, other fluids, and fatal coronary heart disease: the Adventist Health Study. Am J Epidemiol 155: 827–833.
- 14. Lin YP, Yu WC, Hsu TL, Ding PY, Yang WC, et al. (2003) The extracellular fluid-to-intracellular fluid volume ratio is associated with large-artery structure and function in hemodialysis patients. Am J Kidney Dis 42: 990–999.
- 15. Pedersen CB (2011) The Danish Civil Registration System. Scand J Public Health 39: 22–25.
- 16. Heitmann BL, Garby L (2002) Composition (lean and fat tissue) of weight changes in adult Danes. Am J Clin Nutr 75: 840–847.
- 17. Lynge E, Sandegaard JL, Rebolj M (2011) The Danish National Patient Register. Scand J Public Health 39: 30–33.
- 18. Helweg-Larsen K (2011) The Danish Register of Causes of Death. Scand J Public Health 39: 26–29.
- 19. Thygesen LC, Daasnes C, Thaulow I, Bronnum-Hansen H (2011) Introduction to Danish (nationwide) registers on health and social issues: structure, access, legislation, and archiving. Scand J Public Health 39: 12–16.
- 20. Chumlea W, Sun S (2005) Bioelectrical Impedance Analysis. In: Heymsfield S, Lohman T, Wang Z, Going S, editors. Human body composition. 2nd ed. Champaign, IL: Human Kinetics. pp. 79–87.
- 21. Heitmann BL (1990) Prediction of body water and fat in adult Danes from measurement of electrical impedance. A validation study. Int J Obes 14: 789–802.
- 22. Heitmann BL (1992) The effects of gender and age on associations between blood lipid levels and obesity in Danish men and women aged 35-65 years. J Clin Epidemiol 45: 693–702.
- 23. Jaffrin MY, Morel H (2008) Body fluid volumes measurements by impedance: A review of bioimpedance spectroscopy (BIS) and bioimpedance analysis (BIA) methods. Med Eng Phys 30: 1257–1269.
- 24. Kyle UG, Bosaeus I, De Lorenzo AD, Deurenberg P, Elia M, et al. (2004) Bioelectrical impedance analysis—part I: review of principles and methods. Clin Nutr 23: 1226–1243.
- 25. Kyle UG, Bosaeus I, De Lorenzo AD, Deurenberg P, Elia M, et al. (2004) Bioelectrical impedance analysis-part II: utilization in clinical practice. Clin Nutr 23: 1430–1453.
- 26. Cole K, Cole R (1941) Dispersion and absorbtion in dielectrics: I alternating current characteristics. J Chem Phys 9: 341–351.
- 27. Cornish BH, Thomas BJ, Ward LC (1993) Improved prediction of extracellular and total body water using impedance loci generated by multiple frequency bioelectrical impedance analysis. Phys Med Biol 38: 337–346.
- 28. Ward LC (2009) Inter-instrument comparison of bioimpedance spectroscopic analysers. Open Med Dev J 1: 3–10.
- 29. World Health Organization (1989) Measuring obesity - classification and description of anthropometric data. Report on a WHO consultlation of the epidemiology of obesity. Warsaw 21–23 October 1987. Copenhagen: WHO.
- 30. Gjerstorff ML (2011) The Danish Cancer Registry. Scand J Public Health 39: 42–45.
- 31. Korn EL, Graubard BI, Midthune D (1997) Time-to-event analysis of longitudinal follow-up of a survey: choice of the time-scale. Am J Epidemiol 145: 72–80.
- 32. Therneau T, Grambsch P (2000) Residuals. In: Therneau T, Grambsch P, editors. Modelling survival data: Extending the Cox model. New York: Springer. pp. 79–87.
- 33. McDonagh TA, Holmer S, Raymond I, Luchner A, Hildebrant P, et al. (2004) NT-proBNP and the diagnosis of heart failure: a pooled analysis of three European epidemiological studies. Eur J Heart Fail 6: 269–273.
- 34. Sarnak MJ, Levey AS (2003) Schoolwerth AC, Coresh J, Culleton B, et al (2003) Kidney disease as a risk factor for development of cardiovascular disease: a statement from the American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention. Circulation 108: 2154–2169.
- 35. Seeley R, Stephen T, Tate P (2008) Water, electrolytes, and acid-based balance. In: Seeley R, Stephen T, Tate P, editors. Anatomy and Physiology. 8th ed. New York: McGraw-Hill. pp. 1004–1030.
- 36. Cha K, Chertow GM, Gonzalez J, Lazarus JM, Wilmore DW (1995) Multifrequency bioelectrical impedance estimates the distribution of body water. J Appl Physiol 79: 1316–1319.
- 37. Barbosa-Silva MC, Barros AJ (2005) Bioelectrical impedance analysis in clinical practice: a new perspective on its use beyond body composition equations. Curr Opin Clin Nutr Metab Care 8: 311–317.
- 38. Chen W, Guo LJ, Wang T (2007) Extracellular water/intracellular water is a strong predictor of patient survival in incident peritoneal dialysis patients. Blood Purif 25: 260–266.
- 39. Park J, Chung HC, Kim MS, Kim SJ, Chang JW, et al. (2009) Relationship between extracellular water fraction of total body water estimated by bioimpedance spectroscopy and cardiac troponin T in chronic haemodialysis patients. Blood Purif 28: 61–68.
- 40. Danish Nephrology Register (2011) Annual Report 2010. Available: http://www.nephrology.dk/Publikationer/Landsregister/%C3%85rsrapport 2010.pdf. Accessed 2012 Apr 28.