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The effect of a dietary supplement of potassium chloride or potassium citrate on blood pressure in predominantly normotensive volunteers

Published online by Cambridge University Press:  01 June 2008

Alessandro Braschi
Affiliation:
Department of Nutrition and Dietetics, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NN, UK
Donald J. Naismith*
Affiliation:
Department of Nutrition and Dietetics, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NN, UK
*
*Corresponding author: Professor Donald J. Naismith, fax +44 207 333 4285, email djnaismith@googlemail.com
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Abstract

Blood pressure (BP) shows a continuous relationship with the risk of CVD. There is substantial evidence that dietary potassium exerts an anti-pressor effect. Most clinical trials have used KCl. However, the chloride ion may have a pressor effect and in foods potassium is associated with organic anions. In a double-blind randomized placebo-controlled trial we explored the effect on BP of two salts of potassium, KCl and potassium citrate (K-cit), in predominantly young healthy normotensive volunteers. The primary outcome was the change in mean arterial pressure as measured in a clinic setting. After 6 weeks of supplementation, compared with the placebo group (n 31), 30 mmol K-cit/d (n 28) changed mean arterial pressure by − 5·22 mmHg (95 % CI − 8·85, − 4·53) which did not differ significantly from that induced by KCl (n 26), − 4·70 mmHg ( − 6·56, − 2·84). The changes in systolic and diastolic BP were − 6·69 (95 % CI − 8·85, − 4·43) and − 4·26 (95 % CI − 6·31, − 2·21) mmHg with K-cit and − 5·24 (95 % CI − 7·43, − 3·06) and − 4·30 (95 % CI − 6·39, − 2·20) mmHg with KCl, and did not differ significantly between the two treatments. Changes in BP were not related to baseline urinary electrolytes. A greater treatment-related effect was observed in those with higher systolic BP. Increasing dietary potassium could therefore have a significant impact on the progressive rise in BP in the entire population.

Type
Full Papers
Copyright
Copyright © The Authors 2007

Elevated blood pressure (BP) is the most common risk factor for cardiovascular mortality and morbidity worldwide(Reference Whelton1). Much attention has been given to the role of diet in influencing BP, in particular to the pressor effect of sodium(Reference Stamler2) and more recently to the anti-pressor effect of potassium(Reference Whitworth3, Reference Appel, Brands, Daniels, Karanja, Elmer and Sacks4) and to the interaction between these two cations(Reference Morris, Schmidlin, Frassetto and Sebastian5). Diets rich in fruits and vegetables have been found to exert an anti-pressor effect(Reference Berkow and Barnard6Reference Siani, Strazzullo, Giacco, Pacioni, Celentano and Mancini8) which has been attributed in part to their high content of potassium(Reference Appel, Brands, Daniels, Karanja, Elmer and Sacks4, Reference Morris, Schmidlin, Frassetto and Sebastian5, Reference Sacks, Svetkey and Vollmer7). Most clinical trials on potassium and BP have been performed on a small sample of hypertensive subjects, having an intervention period lasting less than 1 month and using high doses of KCl (60–200 mmol/d)(Reference Whelton, He, Cutler, Brancati, Appel, Follmann and Klag9, Reference Geleijnse, Kok and Grobbee10). However, there is some evidence that the accompanying chloride anion is essential in determining the pressor effect of sodium chloride, as sodium salts of bicarbonate, citrate and phosphate have been found to be ineffective in raising BP(Reference Kotchen and Kotchen11). Moreover, potassium in plant foods is present in association with organic anions such as citrate or malate(Reference Demigne, Sabboh, Remesy and Meneton12) and it has been suggested that chloride per se might have a pressor effect(Reference Schmidlin, Forman, Tanaka, Sebastian and Morris13). The few studies reported using non-chloride salts of potassium have provided conflicting results.

We hypothesized that organic salts of potassium lower BP and would exert a greater anti-pressor effect than KCl. We therefore conducted a placebo-controlled randomized double-blind trial on healthy volunteers, over a 6-week period, to compare the effect of either KCl or potassium citrate (K-cit) with a dose (30 mmol/d) approximating the current dietary deficit in the UK population.

Experimental methods

Design of the trial

The study, approved by the King's College Research Ethics Committee, took the form of an 8-week randomized, double-blind placebo-controlled trial with parallel arm design of oral potassium supplementation (ISRCTN no. 52748737). It was aimed to test the effect on BP of 30 mmol/d of two potassium supplements, KCl and K-cit, and to evaluate the possible influence of the accompanying anion. The between-groups difference in increments in mean arterial pressure (MAP), as measured by the oscillometric sphygmomanometer, was the primary outcome.

Based on data from our previous study(Reference Naismith and Braschi14) and assuming a standard deviation of 5·3 mmHg for MAP, a sample size of thirty-five subjects per group was required in order to detect a change in clinic MAP of 4·0 mmHg at P < 0·05 and 80 % power. A greater number of participants was recruited to allow for dropouts.

Volunteers were invited to participate in a 2-week run-in period during which placebo capsules were taken in order to test adherence or intolerance to the placebo (lactose). They were also asked, on a voluntary basis, to provide a blood and a 24 h urine sample to obtain baseline values for 24 h electrolyte excretion, plasma electrolytes and erythrocyte potassium content (RBC-K). Baseline values for BMI, heart rate and BP were then measured. Volunteers were randomly allocated to receive either a placebo, KCl or K-cit capsules for 6 weeks and were required to attend a final evaluation during which heart rate, BP and BMI were again measured and criteria for exclusion considered. At a mid-term visit BP was again measured after 3 weeks of treatment. Three days from the end of supplementation a second 24 h urine and blood sample were obtained. Volunteers were asked to complete a questionnaire to determine whether the supplements had side-effects.

Adherence to the treatment was calculated as a percentage of assigned capsules actually consumed and confirmed by urine analysis.

Randomization was performed by a statistician consultant unrelated to the intended study using a series of computer-generated random numbers (Excel, Office 1997, Microsoft Ltd, Reading, UK). Details of the series were unknown to the investigators and were provided on completion of the study.

Subjects

A total of 127 subjects were recruited from amongst the academic staff and the student population of King's College London. Ninety completed the study.

Participants had to be aged between 22 and 65 years, have a BMI between 19 and 35 kg/m2, an alcohol consumption of ≤ 21 units/week for women and ≤ 28 units/week for men (1 unit = 10 ml of ethanol), and have a systolic BP (SBP) ≤ 160 and diastolic BP (DBP) ≤ 105 mmHg at screening. Subjects taking medications for which potassium supplementation is not contraindicated, or mineral and vitamin supplements, took part with the provision that they would continue their use. None contained potassium. Participants suffering from postural hypotension were also not included.

Subjects suffering from CVD (including cardiac arrhythmia), renal diseases, diabetes, metabolic acidosis and digestive problems or those taking anti-hypertensive medications, cyclosporin, heparin, digoxin, anticholinergics and non-steroidal anti-inflammatory drugs did not participate.

Subjects who during the study period changed either their usual diet or lifestyle and those undergoing changes in psychical condition (stress, depression, tiredness) were excluded. Volunteers who during the run-in consumed less than 80 % of the placebo would not proceed to the supplementation phase, while data from those who consumed less than 70 % during the intervention would be rejected.

Treatment administered

The supplements of potassium and the placebo were formulated at Penn Pharmaceutical Services Ltd (Tredegar, UK). The supplement contained 5 mmol potassium microencapsulated with Eudragit NE 30 D. The purpose was to obtain a formulation that would gradually release the potassium salts thus avoiding high local concentrations of the salt. Two capsules were taken three times a day after each main meal (breakfast, lunch and dinner).

Blood pressure and heart rate

BP was measured following current recommendations(Reference Beevers, Lip and O'Brien15, Reference Beevers, Lip and O'Brien16) as outlined in our previous study(Reference Naismith and Braschi14). Briefly, BP was assessed at approximately the same time of the day (within 30 min) by the same observer using the same instruments throughout the study. Participants were asked to maintain the same habits before each appointment, in particular with regard to factors known to influence BP(Reference Beevers, Lip and O'Brien15) such as exercise, awakening time and meal time. They were asked to refrain from smoking, eating, drinking and exercising 30 min before each appointment. Those who felt unwell or stressed, or had changes of pulse greater than 15 beats/min when compared with the average baseline pulse were asked to arrange another appointment.

BP was measured in the seated position in the left arm after a 10 min rest using a clinically validated(Reference Longo, Bertolo, Toffanin, Frezza and Palatini17) semi-automated oscillometric sphygmomanometer (UA-779; A & D Instruments Ltd, Maidenhead, UK) providing pulse measurements. Three readings were taken at 2 min intervals. The values for SBP were then averaged, the reading that had the greatest difference from the mean being discarded together with the corresponding DBP and pulse measurement, and the mean of the two remaining readings used for analysis.

BP was thereafter confirmed by taking two more readings at 2 min intervals with a validated(Reference O'Brien, Waeber, Parati, Staessen and Myers18) mercury sphygmomanometer (Trimline-PyMah; MedRoDi Medical Ltd, Whitecross, UK). SBP was measured as the point of appearance of the Korotkoff sounds (Phase I) while DBP was judged as the point of complete disappearance of the sounds (Phase V).

MAP was calculated as (2 DBP+SBP)/3. Three different cuffs were used depending on arm circumference(Reference Beevers, Lip and O'Brien15). Participants with measurements of either SBP ≥ 140 or DBP ≥ 90 mmHg were regarded as hypertensive(19). Since oscillometric monitors may be unreliable for some individuals for which there is no obvious reason(Reference O'Brien, Beevers and Lip20), those who at screening had a discrepancy for BP between the mercury and oscillometric device ≥ 9 mmHg for SBP or ≥ 5 mmHg for DBP(Reference Longo, Bertolo, Toffanin, Frezza and Palatini17) were deemed unsuitable for oscillometric instruments.

Erythrocyte potassium and water content

Fasting venous blood samples were drawn into 10 ml lithium heparin tubes kept at room temperature and processed within 1 h. An aliquot of 0·5 ml was centrifuged (Ames Microspin, Bayer Diagnostic GmbH, Germany) for haematocrit determination.

To assess erythrocyte potassium content a modification of the method devised by Weissberg et al. (Reference Weissberg, West and Woods21) relating the electrolyte content of an erythrocyte lysate to its dry mass was used. Blood was centrifuged at 3000 g for 5 min at 4°C, the buffy coat discarded and plasma kept for analysis. The erythrocytes were washed four times with 5 ml isosmolar 110 mmol/l MgCl2, spinning for 3 min at 3000 g at 4°C and discarding the supernatant. Approximately 1 ml of washed cells was lysed in 4 ml of ultrapure water. Then 1 ml of lysate was accurately pipetted and dried at 60°C to constant weight. The remaining 3 ml of lysate was centrifuged at 3000 g for 3 min, and a duplicate aliquot of 1 ml was stored for analysis. After chemical analysis the intra-assay CV on five estimates was < 3 %.

Erythrocyte water content was estimated as the percentage (w/w) of weight lost from a duplicate sample of washed packed cells (~0·25 ml) before and after desiccation(Reference Delgado and Delgado-Almeida22). This technique gave an intra-assay CV on five estimates of < 1 %.

Laboratory analysis

Samples of urine, plasma and lysate were stored at − 80°C. Assays on urine electrolytes and creatinine, plasma electrolytes and the potassium content in the erythrocyte lysate were carried out by the Department of Chemical Pathology at St Thomas' Hospital, London. For analysis for potassium and sodium an automated clinical analyser employing ion-selective electrodes (Synchron LX20; Beckman Coulter Ltd, High Wycombe, UK) was used. The sensitivity for both ions was 2 mmol/l. Creatinine concentration was determined using the Jaffe rate method (Synchron LX20) with a precision of 177 μmol/l.

Statistical analysis

The present trial was designed to test the alternative hypothesis that the increments in BP would differ among the three different intervention groups.

All data were checked for normality using the One-sample Kolmogorov–Smirnov test, and all but alcohol consumption and vegetarianism were confirmed to be normally distributed. The χ2 test was used to assess the significance of differences between the groups for nominal-level variables (e.g. gender). For interval-level variables (e.g. BP) the significance of differences between the groups at baseline was tested using ANOVA, while changes after the intervention period were tested using ANOVA with covariates (ANCOVA). When a significant difference was detected the pairwise comparison was made by using the least significant difference technique. For interval-level variables the significance of differences in parameters within each intervention group was tested by the paired sample t test (two-sided). The influence of nominal-level variables on interval-level variables was assessed using either the independent samples t test or alternatively ANOVA for more than two categories. Relationships between interval-level variables were examined using the Pearson correlation test (two-sided), or with the Spearman correlation test (two-sided) when non-normally distributed variables were involved.

Data are presented as means and their standard errors. The increments of the parameters observed after the intervention period are presented as estimated marginal means, standard errors and 95 % CI. A P value of ≤ 0·05 was considered to be statistically significant.

Sample size and power calculation was estimated using Minitab statistical software (version 13.1; Minitab Ltd, Coventry, UK). All the other calculations were performed with the SPSS statistical software package SPSS 13.0 for Windows (SPSS UK Ltd, Woking, UK).

Results

Subject details

A detailed flowchart showing enrolment and allocation of the volunteers into the different intervention groups, and including reasons for withdrawal or exclusion, is presented in Fig. 1. None of the participants were excluded for poor compliance. Inequalities between the number reported for groups and totals arose from exclusions and withdrawals.

Fig. 1 Flow diagram of enrolment and visit completion of the participants in the study. *One volunteer belonging to the placebo group could not provide reliable blood pressure (BP) readings from the mercury sphygmomanometer at the mid-point and final visits, as the Koroktoff sounds were faint and of difficult interpretation. †One volunteer in the potassium citrate (KCitrate) and KCl group and three volunteers in the placebo group could not provide a complete 24 h urine sample for the final assessment. ‡Two volunteers in the placebo group and one in the KCl group were excluded from erythrocyte potassium content analysis owing to errors made during the preparation of the haemolysates from the final blood samples. For one volunteer in the placebo group the final haematocrit and erythrocyte water content determinations were lost.

The baseline characteristics of the volunteers are shown in Table 1. There were no significant differences among the treatment groups other than for height and BMI that differed significantly between the placebo and the KCl group. The difference in height reflected the greater, although non-significant, number of females who were allocated to the KCl group.

Table 1 Baseline characteristics of the participants

(Mean values with their standard errors)

K-cit, potassium citrate.Mean values were significantly different from those of the KCl group: *P < 0·05. There were no significant differences at baseline (ANOVA or χ2 test) between the three groups other than stated.

Compliance and side-effects

The compliance as judged by pill counting was 90·0 (sem 1·5) % in the placebo group, 91·4 (sem 1·2) % in the KCl group and 92·5 (sem 1·2) % in the K-cit group during the intervention period. However, a comparison of urinary potassium excretion between the groups (see later) indicated that compliance was approximately 75 % in the KCl group and 83 % in the K-cit group.

The capsules were well tolerated, with no clinically significant side-effects.

Blood pressure and heart rate

At baseline two volunteers in the K-cit group were classified as hypertensives while after 6 weeks of intervention the number was reduced to one. Mean BP was not significantly different among the three groups at baseline and throughout the duration of the study.

Baseline SBP was significantly correlated with baseline body weight (r 0·47, P = 0·000), baseline BMI (r 0·44, P = 0·000), age (r 0·28, P = 0·010) and alcohol consumption (r 0·24, P = 0·026). Significant correlations were also found between DBP and baseline BMI (r 0·33, P = 0·002), body weight (r 0·26, P = 0·018) and age (r 0·27, P = 0·012).

At the end of the 6-week intervention period mean BP decreased significantly from baseline within the potassium-supplemented groups (Fig. 2), while no change was observed in the placebo group. When comparing the changes in BP between the three different groups no significant differences were found between the two potassium treatments while BP changes between the active treatments and the placebo group achieved statistical significance (Table 2). The decrease in BP observed in the potassium groups occurred gradually, with an early decrease in both SBP and DBP followed by a predominant decrease in SBP during the last 3-week period.

Fig. 2 Average blood pressure over the 6-week intervention period (♦, systolic blood pressure; ▲, diastolic blood pressure; ■, MAP, mean arterial pressure) for the three treatment groups (placebo, A; KCl, B; potassium citrate, C). Values are means with their standard errors depicted by vertical bars. Estimates for differences within each treatment group were assessed by the paired t test, while between groups were assessed by ANOVA. Mean values were significantly different from baseline (within-group comparison): **P < 0·05, **P < 0·01, ***P < 0·005. There were no significant differences within and between the three groups other than stated.

Table 2 Pairwise comparisons of changes in blood pressure between the potassium and placebo groups (Mean values with their standard errors)

DBP, diastolic blood pressure; K-cit, potassium citrate; MAP, mean arterial pressure; SBP, systolic blood pressure.Mean values were significantly different from zero: *P < 0·05, ***P < 0·005· Estimates for differences between groups were assessed by ANOVA with covariates (ANCOVA). There were no significant differences between the three groups other than stated.

Derived from the least significant different test.

§ Placebo n 26, KCl n 22, K-cit n 25.

Placebo n 31, KCl n 26, K-cit n 28.

Changes are adjusted for SBP as covariate (SBP: 110·03, P = 0·007).

In the analysis of covariance no significant relationships were found between the changes in BP and baseline BMI, age, gender, heart rate, urinary electrolyte excretion, plasma electrolytes, erythrocyte water and potassium content. In particular, no significant relationships were found between the changes in BP and the changes in the above variables as covariates. However, a significant relationship (P = 0·007) was found between the change in SBP (final from baseline) and SBP level (calculated as the mean of all measurements of SBP) as covariate (common slope = − 0·111 ± 0·040, intercept varies according to treatment).

There were no significant differences in mean heart rate at baseline (placebo 67·5 (sem 1·3); KCl 67·5 (sem 1·8); K-cit 67·8 (sem 1·9)). During the intervention period pulse did not change significantly within the three groups, nor did mean changes differ significantly between the groups.

Urinary excretion of electrolytes

Baseline mean urinary electrolytes and creatinine excretion did not differ significantly between the three treatment groups (Table 3).

Table 3 Changes (final from baseline) in urinary electrolyte and creatinine, haematocrit, erythrocyte water and potassium content by treatment group (Mean values with their standard errors)

Na–K ratio, molar ratio of sodium to potassium; RBC-K, erythrocyte potassium content.Mean values were significantly different from zero (within-group comparison): *P < 0·05, **P < 0·01. Estimates for differences within each treatment group were assessed by the paired t test. There were no significant differences other than stated.Mean values were significantly different from those of the placebo (between-groups comparison): ††P < 0·01. Estimates for differences between groups were assessed by ANOVA for differences in baseline values and the ANOVA with covariates (ANCOVA) for effect of treatment. There were no significant differences other than stated.

Derived from ANCOVA.

At the end of the supplementation period in the potassium groups the mean urinary excretion of potassium increased significantly from baseline. As a result the daily urinary excretion of potassium was significantly greater (P < 0·010) in the K-cit (98·17 (sem 5·02) mmol/d) and KCl (89·58 (sem 6·96) mmol/d) groups than in the placebo group (66·75 (sem 5·49 mmol/d)). Compared with the placebo group urinary potassium increased significantly by 24·98 (sem 8·47) mmol/d (95 % CI 8·12, 41·85; P < 0·010) in the K-cit group and by 22·60 (sem 8·91) mmol/d (95 % CI 4·86, 40·34; P < 0·010) in the KCl group. In the K-cit group the mean molar ratio of sodium to potassium (Na–K ratio) and the mean creatinine excretion decreased significantly from the respective baseline values, but these changes were not significantly different when compared with the other two groups.

Plasma electrolytes, erythrocyte water and potassium content

Baseline values for plasma electrolytes were similar among three intervention groups (Table 3). After the 6-week intervention period, there were no significant changes in plasma electrolytes within the three intervention groups. Changes in plasma electrolytes did not differ significantly between the different treatments.

There were no significant differences between the three groups in mean baseline values for erythrocyte potassium and water. Following treatment there were no significant changes between and within the groups in RBC-K (Table 3). After the intervention period erythrocyte water content decreased significantly in the placebo and K-cit group when compared with the respective baseline values but the changes were not significantly different between the three groups. Erythrocyte water content was found to be positively correlated with RBC-K (r 0·41, P = 0·025) and plasma potassium (r 0·59, P = 0·000).

BMI

On completion of the study mean BMI had not changed significantly from baseline in any of the three treatments groups (placebo: − 0·11 (sem 0·07) kg/m2, 95 % CI − 0·25, 0·04; KCl: − 0·05 (sem 0·08) kg/m2, 95 % CI − 0·21, 0·11; K-cit: 0·11 (sem 0·08) kg/m2, 95 % CI − 0·04, 0·26) nor was the mean change in BMI significantly different between the groups.

Discussion

In the present study we confirmed our earlier findings(Reference Naismith and Braschi14) that an increase in dietary potassium of approximately 30 mmol/d, equivalent to an increase in dietary potassium of around 40 % in the UK population(Reference Henderson, Gregory, Bates, Prentice, Perks, Swan and Farron23) and to the amount contained in five portions of fresh fruits and vegetables, substantially decreases BP in predominantly young normotensive people. The effect was independent of the accompanying anion of the potassium salt, was greater in those with higher BP and increased with the duration of supplementation.

Pharmacological treatment is inappropriate for individuals who are not regarded as hypertensive, but have BP higher than the optimal level, and account for around 30–40 % of all BP-related CVD(Reference Whelton1). Of the non-pharmacological measures to manage BP weight control is considered to be one of the most effective(Reference Appel, Brands, Daniels, Karanja, Elmer and Sacks4). The importance of body weight as a factor influencing BP is undisputed, and was appreciated in the current study, as a consistent positive correlation between BP and body weight or BMI was observed. The slight imbalance observed between the groups at baseline for BMI and height did not influence the BP-response to the supplements as in the current study BMI and height were used in the analysis of covariance without revealing a significance relationship with BP changes. Other lifestyle modifications have also been shown to influence BP independently of the changes in body weight(Reference Appel, Brands, Daniels, Karanja, Elmer and Sacks4). A reduction of 50 mmol/d in salt intake bringing the total salt intake to an average 100 mmol/d(Reference Henderson, Gregory, Bates, Prentice, Perks, Swan and Farron23) is widely recommended(Reference Appel, Brands, Daniels, Karanja, Elmer and Sacks4). However, this is acknowledged to be difficult to achieve and sustain, and would be of little benefit to normotensive individuals(Reference Hooper, Bartlett, Davey Smith and Ebrahim24). The fall in BP observed in the present and earlier study(Reference Naismith and Braschi14) exceeded that which would result from removing 100 mmol NaCl/d from the diet(Reference He and MacGregor25) (equivalent to 62 % of the customary salt intake in the UK(Reference Henderson, Gregory, Bates, Prentice, Perks, Swan and Farron23)). A concomitant modest increase in potassium intake is an attractive possibility to complement a moderate salt restriction in order to reduce BP, although likely to produce a result that is less than would be expected if the effects were additive(Reference Morris, Schmidlin, Frassetto and Sebastian5, Reference Sacks, Svetkey and Vollmer7). The major factor appears to be the molar ratio of sodium to potassium(Reference Morris, Schmidlin, Frassetto and Sebastian5).

There is a paucity of clinical trials exploring the effect of non-chloride salts on BP and of comparing the effect of different salts of potassium, but these have provided confusing results on the basis of the use of high dose levels of potassium, short duration(Reference Mullen and O'Connor26), small number of participants(Reference Overlack, Stumpe, Moch, Ollig, Kleinmann, Muller, Kolloch and Kruck27Reference Overlack, Maus, Ruppert, Lennarz, Kolloch and Stumpe29) and lack of an appropriate control group(Reference He, Markandu, Coltart, Barron and MacGregor30).

The present finding that a low-dose non-chloride potassium salt lowers BP has recently been supported in a study published after the completion of the current investigation. In this trial Franzoni et al. (Reference Franzoni, Santoro, Carpi, Da Prato, Bartolomucci, Femia, Prattichizzo and Galetta31) allocated 104 volunteers to receive either a 30 mmol/d potassium aspartate supplement or no treatment. After 4 weeks of intervention the authors observed a significant decrease in BP by 12·2/8·2 mmHg (P < 0·001). The study, that was neither randomized nor placebo-controlled, indicated a greater effect than that observed in the current investigation. However, it was conducted on untreated hypertensive patients who are acknowledged to have a greater response to potassium(Reference Whelton, He, Cutler, Brancati, Appel, Follmann and Klag9, Reference Geleijnse, Kok and Grobbee10).

In contrast to the results of other authors(Reference Delgado and Delgado-Almeida22, Reference Resnick, Barbagallo, Dominguez, Veniero, Nicholson and Gupta32) we did not find any correlation between RBC-K and baseline BP levels nor did we observe an effect of supplementation on RBC-K. An explanation for the present result may partially arise from the fact that the sample of participants was relatively small and composed largely of young healthy normotensive subjects.

Whereas most of the potassium supplementation trials have been performed on hypertensive patients(Reference Whelton, He, Cutler, Brancati, Appel, Follmann and Klag9, Reference Geleijnse, Kok and Grobbee10), participants in the present study were predominantly normotensive, with a mean BP lower than the UK average of 126/71 (SBP/DBP) mmHg(Reference Ruston, Henderson, Gregory, Bates, Prentice, Birch, Swan and Farron33). Although not a representative sample of the UK population, our subjects had a sodium and potassium intake that was very similar to the average British consumption of 162 and 75 mmol/d, respectively(Reference Henderson, Gregory, Bates, Prentice, Perks, Swan and Farron23). These facts together would indicate that a modest increase in potassium intake, slightly exceeding the current recommendation, could make a substantial contribution to the prevention and prevalence of high BP in the UK adult population. Since BP shows a continuous relationship with the risk of CVD throughout its entire range, a small decrease in BP in the general population may lead to an appreciable decrease in mortality and morbidity(Reference Whelton1, Reference Stamler2). It is predicted that a reduction in BP of the magnitude observed in the present study would decrease the mortality from all forms of CVD by approximately 15 %(Reference Stamler2).

As a means of increasing dietary potassium intake, raising the consumption of fresh fruits and vegetables is an obvious measure(Reference Appel, Brands, Daniels, Karanja, Elmer and Sacks4), although it may also prove difficult. As observed in the UK, despite the incessant and persuasive ‘5 a day’ campaign(Reference Attree34) there has been little improvement in fruit and vegetable intake(Reference Kelly and Stanner35). The average UK consumption is below three portions per day and around two portions in those in the lowest income group(Reference Nelson, Erens, Bates, Church and Boshier36).

Thus lifestyle changes might be implemented by diet modifications that do not depend on individual choice(Reference Whelton1). Substituting common salt with a mixture of KCl and NaCl has been shown to lower BP in hypertensive patients(Reference Katz, Rosenthal, Maoz, Peleg, Zeidenstein and Levi37, Reference Geleijnse, Witteman, Bak, den Breeijen and Grobbee38) and to decrease the risk of CVD(Reference Chang, Hu, Yue, Wen, Yeh, Hsu, Tsai and Pan39). Currently a reduction in the salt content of manufactured foods is strongly recommended(Reference Whelton1, Reference Kelly and Stanner35), as most dietary salt is derived from processed foods and little from discretionary use(Reference Stamler2). However, little is known about whether a substantial reduction in the salt content of manufactured foods might raise the use of discretionary salt. Other adjustments are also required, and restoration of potassium in food products would be a pragmatic approach.

Acknowledgements

The authors are grateful to Peter Milligan (Senior Application Advisor in Statistics, Computing and IT Services, King's College London) for advice on statistical procedures, to Professor Ramasamyiyer Swaminathan (Department of Chemical Pathology, St Thomas' Hospital London) for advice and collaboration in the analysis of the blood and urine samples. The study was partially funded by the Food and Drink Federation and by King's College Enterprises. A. B. was in receipt of a research scholarship from the King's College London Association. The authors declare that there is no conflict of interest.

References

1Whelton, PK (2004) Hypertension curriculum review: epidemiology and the prevention of hypertension. J Clin Hypertens (Greenwich) 6, 636642.Google Scholar
2Stamler, J (1997) The INTERSALT Study: background, methods, findings, and implications. Am J Clin Nutr 65, Suppl. 2, 626S642S.Google Scholar
3Whitworth, JA (2003) 2003 World Health Organization (WHO)/International Society of Hypertension (ISH) statement on management of hypertension. J Hypertens 21, 19831992.Google Scholar
4Appel, LJ, Brands, MW, Daniels, SR, Karanja, N, Elmer, PJ & Sacks, FM (2006) Dietary approaches to prevent and treat hypertension: a scientific statement from the American Heart Association. Hypertension 47, 296308.Google Scholar
5Morris, RC Jr, Schmidlin, O, Frassetto, LA & Sebastian, A (2006) Relationship and interaction between sodium and potassium. J Am Coll Nutr 25, Suppl. 3, 262S270S.Google Scholar
6Berkow, SE & Barnard, ND (2005) Blood pressure regulation and vegetarian diets. Nutr Rev 63, 18.Google Scholar
7Sacks, FM, Svetkey, LP, Vollmer, WM, et al. (2001) Effects on blood pressure of reduced dietary sodium and the Dietary Approaches to Stop Hypertension (DASH) diet. DASH-Sodium Collaborative Research Group. N Engl J Med 344, 310.CrossRefGoogle ScholarPubMed
8Siani, A, Strazzullo, P, Giacco, A, Pacioni, D, Celentano, E & Mancini, M (1991) Increasing the dietary potassium intake reduces the need for antihypertensive medication. Ann Intern Med 115, 753759.Google Scholar
9Whelton, PK, He, J, Cutler, JA, Brancati, FL, Appel, LJ, Follmann, D & Klag, MJ (1997) Effects of oral potassium on blood pressure. Meta-analysis of randomized controlled clinical trials. JAMA 277, 16241632.Google Scholar
10Geleijnse, JM, Kok, FJ & Grobbee, DE (2003) Blood pressure response to changes in sodium and potassium intake: a metaregression analysis of randomised trials. J Hum Hypertens 17, 471480.Google Scholar
11Kotchen, TA & Kotchen, JM (1997) Dietary sodium and blood pressure: interactions with other nutrients. Am J Clin Nutr 65, Suppl. 2, 708S711S.Google Scholar
12Demigne, C, Sabboh, H, Remesy, C & Meneton, P (2004) Protective effects of high dietary potassium: nutritional and metabolic aspects. J Nutr 134, 29032906.Google Scholar
13Schmidlin, O, Forman, A, Tanaka, M, Sebastian, A & Morris, RC Jr (1999) NaCl-induced renal vasoconstriction in salt-sensitive African Americans: antipressor and hemodynamic effects of potassium bicarbonate. Hypertension 33, 633639.CrossRefGoogle ScholarPubMed
14Naismith, DJ & Braschi, A (2003) The effect of low-dose potassium supplementation on blood pressure in apparently healthy volunteers. Br J Nutr 90, 5360.Google Scholar
15Beevers, G, Lip, GY & O'Brien, E (2001) ABC of hypertension. Blood pressure measurement. Part I – sphygmomanometry: factors common to all techniques. Br Med J 322, 981985.Google Scholar
16Beevers, G, Lip, GY & O'Brien, E (2001) ABC of hypertension. Blood pressure measurement. Part II – conventional sphygmomanometry: technique of auscultatory blood pressure measurement. Br Med J 322, 10431047.CrossRefGoogle ScholarPubMed
17Longo, D, Bertolo, O, Toffanin, G, Frezza, P & Palatini, P (2002) Validation of the A&D UA-631 (UA-779 Life Source) device for self-measurement of blood pressure and relationship between its performance and large artery compliance. Blood Press Monit 7, 243248.CrossRefGoogle ScholarPubMed
18O'Brien, E, Waeber, B, Parati, G, Staessen, J & Myers, MG (2001) Blood pressure measuring devices: recommendations of the European Society of Hypertension. Br Med J 322, 531536.Google Scholar
19European Society of Hypertension — European Society of Cardiology (2003) Guidelines for the management of arterial hypertension. J Hypertens 21, 10111053.CrossRefGoogle Scholar
20O'Brien, E, Beevers, G & Lip, GY (2001) ABC of hypertension. Blood pressure measurement. Part IV – automated sphygmomanometry: self blood pressure measurement. Br Med J 322, 11671170.CrossRefGoogle ScholarPubMed
21Weissberg, PL, West, MJ & Woods, KL (1983) An improved method for measuring intracellular electrolytes in erythrocytes and the effects of cold storage. Clin Chim Acta 129, 8589.CrossRefGoogle ScholarPubMed
22Delgado, MC & Delgado-Almeida, A (2002) Red blood cell potassium and blood pressure in adolescents: a mixture analysis. Nutr Metab Cardiovasc Dis 12, 112116.Google ScholarPubMed
23Henderson, LIK, Gregory, J, Bates, CJ, Prentice, A, Perks, J, Swan, G & Farron, Mon behalf of the Food Standards Agency and the Department of Health (2003) The National Diet & Nutrition Survey: Adults Aged 19 to 64 Years. Vitamins and Mineral Intake and Urinary Analytes. Ministry of Agriculture, Fisheries and Food, National Statistics. London: Her Majesty's Stationary Office.Google Scholar
24Hooper, L, Bartlett, C, Davey Smith, G & Ebrahim, S (2002) Systematic review of long term effects of advice to reduce dietary salt in adults. Br Med J 325, 628.Google Scholar
25He, FJ & MacGregor, GA (2003) How far should salt intake be reduced? Hypertension 42, 10931099.CrossRefGoogle ScholarPubMed
26Mullen, JT & O'Connor, DT (1990) Potassium effects on blood pressure: is the conjugate anion important? J Hum Hypertens 4, 589596.Google Scholar
27Overlack, A, Stumpe, KO, Moch, B, Ollig, A, Kleinmann, R, Muller, HM, Kolloch, R & Kruck, F (1985) Hemodynamic, renal, and hormonal responses to changes in dietary potassium in normotensive and hypertensive man: long-term antihypertensive effect of potassium supplementation in essential hypertension. Klin Wochenschr 63, 352360.CrossRefGoogle ScholarPubMed
28Overlack, A, Conrad, H & Stumpe, KO (1991) The influence of oral potassium citrate/bicarbonate on blood pressure in essential hypertension during unrestricted salt intake. Klin Wochenschr 69, Suppl. 2, 7983.Google Scholar
29Overlack, A, Maus, B, Ruppert, M, Lennarz, M, Kolloch, R & Stumpe, KO (1995) Potassium citrate versus potassium chloride in essential hypertension. Effects on hemodynamic, hormonal and metabolic parameters. Dtsch Med Wochenschr 120, 631635.CrossRefGoogle ScholarPubMed
30He, FJ, Markandu, ND, Coltart, R, Barron, J & MacGregor, GA (2005) Effect of short-term supplementation of potassium chloride and potassium citrate on blood pressure in hypertensives. Hypertension 45, 571574.CrossRefGoogle ScholarPubMed
31Franzoni, F, Santoro, G, Carpi, A, Da Prato, F, Bartolomucci, F, Femia, FR, Prattichizzo, F & Galetta, F (2005) Antihypertensive effect of oral potassium aspartate supplementation in mild to moderate arterial hypertension. Biomed Pharmacother 59, 2529.CrossRefGoogle ScholarPubMed
32Resnick, LM, Barbagallo, M, Dominguez, LJ, Veniero, JM, Nicholson, JP & Gupta, RK (2001) Relation of cellular potassium to other mineral ions in hypertension and diabetes. Hypertension 38, 709712.CrossRefGoogle ScholarPubMed
33Ruston, DHJ, Henderson, L, Gregory, J, Bates, JC, Prentice, A, Birch, M, Swan, G & Farron, Mon behalf of the Food Standards Agency and the Department of Health (2004) The National Diet & Nutrition Survey: Adults Aged 19 to 64 Years. Nutritional Status (Anthropometry and Blood Analytes), Blood Pressure and Physical Activity. Ministry of Agriculture, Fisheries and Food, National Statistics. London: Her Majesty's Stationary Office.Google Scholar
34Attree, P (2006) A critical analysis of UK public health policies in relation to diet and nutrition in low-income households. Matern Child Nutr 2, 6778.Google Scholar
35Kelly, CN & Stanner, SA (2003) Diet and cardiovascular disease in the UK: are the messages getting across? Proc Nutr Soc 62, 583589.Google Scholar
36Nelson, M, Erens, B, Bates, B, Church, S & Boshier, T on behalf of the Food Standards Agency (2007) Low Income Diet and Nutrition Survey. Food Consumption. Nutrient Intake. London: Stationery Office.Google Scholar
37Katz, A, Rosenthal, T, Maoz, C, Peleg, E, Zeidenstein, R & Levi, Y (1999) Effect of a mineral salt diet on 24-h blood pressure monitoring in elderly hypertensive patients. J Hum Hypertens 13, 777780.CrossRefGoogle ScholarPubMed
38Geleijnse, JM, Witteman, JC, Bak, AA, den Breeijen, JH & Grobbee, DE (1994) Reduction in blood pressure with a low sodium, high potassium, high magnesium salt in older subjects with mild to moderate hypertension. Br Med J 309, 436440.CrossRefGoogle ScholarPubMed
39Chang, HY, Hu, YW, Yue, CS, Wen, YW, Yeh, WT, Hsu, LS, Tsai, SY & Pan, WH (2006) Effect of potassium-enriched salt on cardiovascular mortality and medical expenses of elderly men. Am J Clin Nutr 83, 12891296.Google Scholar
Figure 0

Fig. 1 Flow diagram of enrolment and visit completion of the participants in the study. *One volunteer belonging to the placebo group could not provide reliable blood pressure (BP) readings from the mercury sphygmomanometer at the mid-point and final visits, as the Koroktoff sounds were faint and of difficult interpretation. †One volunteer in the potassium citrate (KCitrate) and KCl group and three volunteers in the placebo group could not provide a complete 24 h urine sample for the final assessment. ‡Two volunteers in the placebo group and one in the KCl group were excluded from erythrocyte potassium content analysis owing to errors made during the preparation of the haemolysates from the final blood samples. For one volunteer in the placebo group the final haematocrit and erythrocyte water content determinations were lost.

Figure 1

Table 1 Baseline characteristics of the participants(Mean values with their standard errors)

Figure 2

Fig. 2 Average blood pressure over the 6-week intervention period (♦, systolic blood pressure; ▲, diastolic blood pressure; ■, MAP, mean arterial pressure) for the three treatment groups (placebo, A; KCl, B; potassium citrate, C). Values are means with their standard errors depicted by vertical bars. Estimates for differences within each treatment group were assessed by the paired t test, while between groups were assessed by ANOVA. Mean values were significantly different from baseline (within-group comparison): **P < 0·05, **P < 0·01, ***P < 0·005. There were no significant differences within and between the three groups other than stated.

Figure 3

Table 2 Pairwise comparisons of changes in blood pressure between the potassium and placebo groups (Mean values with their standard errors)

Figure 4

Table 3 Changes (final from baseline) in urinary electrolyte and creatinine, haematocrit, erythrocyte water and potassium content by treatment group (Mean values with their standard errors)