Open Access

Impact of serum potassium on therapeutic prognosis of maintenance hemodialysis patients on angiotensin receptor antagonists

  • Kiyotsugu Omae1, 2,
  • Tetsuya Ogawa2Email author,
  • Masao Yoshikawa1,
  • Hiroshi Sakura2 and
  • Kosaku Nitta3
Renal Replacement Therapy20162:14

DOI: 10.1186/s41100-016-0026-2

Received: 29 September 2015

Accepted: 19 January 2016

Published: 18 April 2016

Abstract

Background

In chronic kidney disease patients, angiotensin receptor blockers (ARBs) have been known to increase serum potassium (K) levels. On the other hand, it has been reported that in patients on maintenance dialysis, both hyperkalemia and hypokalemia were related to poor prognosis. In this study, the prognosis with ARB treatment was investigated using a prospective cohort of dialysis patients that were divided into two groups according to pre-dialysis serum K levels: these were the low serum K group (below 4.6 mEq/L) and the high serum K group (4.6 mEq/L and higher).

Methods

A total of 260 patients in our dialysis database were classified into four groups according to their serum K level and ARB use. The survival curves of these groups were estimated by Kaplan–Meier method and compared using a log-rank test. Using Cox regression model, prognostic factors for all-cause mortality were extracted from background factors, including the three classifications; high serum K and ARB group that served as the control.

Results

In terms of all-cause mortality rates, the low serum K and ARB group had the highest, whereas the high serum K and ARB group had the lowest. In the Cox regression model, all three classifications, except the control group, were factors for poor prognosis.

Conclusions

In this study, pre-dialysis serum K level and ARB use affected all-cause mortality of dialysis patients. Multi-center prospective randomized study will be needed in the future to validate our findings.

Keywords

Angiotensin receptor blocker Serum potassium All-cause mortality Hemodialysis patients

Background

In recent years, angiotensin receptor blockers (ARBs) have been widely used in Japan as first-line drugs for the treatment of hypertensive patients on maintenance dialysis. However, renin–angiotensin system (RAS) inhibitors, including ARBs, have been reported to induce critical hyperkalemia in normokalemic patients with chronic kidney disease or heart failure [1, 2]. In dialysis patients, excessive hyperkalemia has been known as one of the causes of sudden death [3] and hypokalemia lower than 4.0 mEq/L has been reported to be associated with poor prognosis [4]. Therefore, the appropriate control of pre-dialysis serum potassium (K) at a level of 4.6–5.5 mEq/L is important for good prognosis in dialysis patients [5].

At present, it is not clear whether the use of ARB is one of the risk factors for fatal hyperkalemia, which may affect the prognosis of dialysis patients. Furthermore, it is also unclear whether the efficacy and safety of ARB treatment are consistent, regardless of serum K levels, in hypokalemic and hyperkalemic patients before dialysis. In this study, we performed multivariate analysis on our prospective cohort of dialysis patients to examine the association between ARB treatment and prognosis in both hypokalemic (serum K below 4.6 mEq/L) and normo- to hyperkalemic (serum K 4.6 mEq/L or more) groups.

Methods

This was a prospective cohort study that enrolled 309 out-patients on dialysis at Yoshikawa Clinic between April 2006 and October 2010. Written informed consent was obtained from the patients who were registered on a dialysis database. The original cohort consisted of 309 patients; of these, 49 were excluded because of inappropriate prescriptions and transfer to another dialysis facility within less than 1 month from registration. The remaining 260 patients (149 men and 111 women) were included in the final cohort.

Hemodialysis (HD) was performed thrice weekly with a standard technique. The dialysate contained 2.0 mEq/L of K and 3.0 mEq/L of calcium. Dry weight estimates were routinely measured in our institution based on clinical signs of hydration, blood pressure pattern during dialysis sessions, and cardiothoracic ratio on chest radiograph. The protocol of this study was approved by the ethics committee of our hospital. This investigation conformed to the principles outlined in the Declaration of Helsinki.

Investigation of therapeutic prognosis with ARB treatment

Eligible patients were followed up until October 2010 from the time of registration in our database. The survival curves of the ARB and non-ARB groups were estimated by Kaplan–Meier method and compared. The main outcome measured was all-cause mortality, the prognostic factors of which were extracted by Cox regression model using descriptive variables, such as age, gender, co-morbidities, vintage of dialysis, presence of atrial fibrillation (AF) or ST–T segment changes on electrocardiogram (ECG), medication at the time of registration, pre-dialysis average systolic blood pressure (SBP) and diastolic blood pressure (DBP) within 1 month after registration, average dialysis efficiency (Kt/V), and average values of laboratory blood tests during the entire observational period.

Comorbidities included were diabetes mellitus, heart failure, ischemic heart disease, and stroke. Having diabetes mellitus, as a comorbidity, was defined as following one or more of the following criteria of the Japan Diabetes Society: the primary cause of end-stage renal disease was diabetic nephropathy; random blood sugar level over 200 mg/dL; or HbA1c over 6.5 % in more than one occasion. Congestive heart failure (CHF) was defined by a history of decompensated heart failure or left ventricular ejection fraction of less than 40 % on echocardiography. Coronary artery disease (CAD) was defined by a history of myocardial infarction or coronary stenosis confirmed by coronary angiography or another imaging techniques. Stroke was defined as the presence of definitive findings of cerebral infarction or hemorrhage on computed tomography or magnetic resonance imaging. Standard 12-lead ECG was recorded every 3 months at our hospital; the nearest tracing to the time of registration was used. Changes in ST–T segment on resting ECG were evaluated by two investigators based on the Minnesota code of 4–1 to 4–4 for ST depression and 5–1 to 5–3 for negative or flat T wave [6]. Medications used were ARBs, angiotensin-converting enzyme inhibitors (ACEi), calcium (Ca) channel blockers (CCBs), beta-blockers (Beta-B), and vitamin D3 (VD). SBP and DBP were recorded by a brachial sphygmomanometer in the supine position every 30 min during dialysis sessions, and from the time of registration, the monthly average values of SBP and DBP at the beginning of every dialysis session were used.

Laboratory blood tests that were measured included blood urea nitrogen (BUN), albumin (Alb), hemoglobin (Hb), C-reactive protein (CRP), serum K, Ca, phosphorus (P), total cholesterol (TC), blood sugar (BS), and hepatitis C virus (HCV) antibody. Of these variables, serum K was regarded as categorical data and was classified as 0 (serum K below 4.6 mEq/L) or 1 (serum K equal to or more than 4.6 mEq/L). Measurements of Kt/V and laboratory markers were performed twice a month; the average values for each were calculated during the entire observational period.

Investigation of the relationship between pre-dialysis serum K level and prognosis with ARB therapy

Eligible patients were classified into the following four groups according to serum K levels and the use or non-use of ARB: (1) ARB non-use and serum K below 4.6 mEq/L (group 1); (2) ARB use and serum K below 4.6 mEq/L (group 2); (3) ARB non-use and serum K equal to or more than 4.6 mEq/L (group 3); and (4) ARB use and serum K equal to or more than 4.6 mEq/L (group 4). Survival curves of these four groups were estimated by the Kaplan–Meier method and were compared. Using the four groups as descriptive variables, multivariate analysis using Cox regression model was performed to determine the prognostic factors for all-cause mortality, cardiovascular mortality and non-cardiovascular mortality. Groups 1 to 3 were included in the analysis as binary variables, with group 4 serving as the control.

Statistical analysis

Continuous variables were presented as mean ± standard deviation. Categorical variables were reported as numbers and percentages. Continuous variables were compared by paired Student’s t test; categorical variables were compared by the chi-square test, as appropriate. The differences among survival curves were tested for significance by the log-rank test. Extraction of prognostic factors was performed using Cox regression model, according to the variable decrease likelihood ratio method. Adjusted hazard ratios (HR) and their 95 % confidence intervals (CI) were reported. A p value of less than 0.05 was considered statistically significant. The statistical analyses were performed by the Dr SPSS II software program (v11.0.1J; SPSS Inc., 1991–2000).

Results

Therapeutic prognosis with ARB in all subjects

Table 1 shows the clinical and demographic characteristics of the study population according to ARB use. A total of 260 HD patients, comprising 149 men and 111 women with a mean age of 68.8 ± 6.33 years, participated in this study. The mean duration of HD therapy at the time of enrollment was 5.61 ± 3.25 years. There were 89 patients with diabetes and 101 patients with ST–T segment changes. Hypertension was diagnosed in 214 patients; 167 patients were in the ARB group and 93 patients were in the non-ARB group. At the beginning of the dialysis, mean blood pressure was 148.5 ± 9.40 mmHg for SBP and 74.5 ± 5.44 mmHg for DBP. Compared with the non-ARB group, the ARB group showed significantly higher mean SBP and DBP values and significantly higher proportion of patients who also received CCBs, beta-Bs, and VD. There were no statistically significant differences between the ARB group and non-ARB group in terms of age, gender, vintage of dialysis, comorbidities, laboratory data, ECG changes, and frequency of ACEi prescription.
Table 1

Patient profile

   

ARB

 
  

Total

(+)

(–)

p value

Age

(Years old)

68.8 ± 6.33

68.1 ± 6.10

70.1 ± 6.71

0.234

Gender (M to F ratio)

 

149:111

95:72

54:39

0.855

Vintage of dialysis

(Years)

5.61 ± 3.25

5.63 ± 3.30

5.56 ± 3.18

0.939

Diabetes

 

89

63

26

0.112

CAD

 

50

37

13

0.109

CHF

 

30

18

12

0.609

Stroke

 

21

13

8

0.817

SBP at the beginning of session

(mmHg)

148.5 ± 9.40

153.2 ± 7.99

140.1 ± 10.3

<0.001

DBP at the beginning of session

(mmHg)

74.5 ± 5.44

75.6 ± 5.16

72.4 ± 5.81

0.024

BUN

(mg/dL)

63.0 ± 5.25

63.4 ± 5.16

62.5 ± 5.42

0.503

Kt/V

 

0.96 ± 0.12

0.96 ± 0.11

0.96 ± 0.11

0.997

Alb

(g/dL)

3.63 ± 0.19

3.65 ± 0.17

3.60 ± 0.21

0.354

Hb

(g/dL)

10.0 ± 0.33

10.0 ± 0.32

10.1 ± 0.35

0.570

CRP

(mg/dL)

1.00 ± 0.99

0.97 ± 1.10

1.07 ± 0.77

0.701

K

(mEq/L)

5.0 ± 0.3

5.0 ± 0.3

4.9 ± 0.3

0.053

Ca

(mg/dL)

8.6 ± 0.3

8.6 ± 0.3

8.5 ± 0.3

0.096

P

(mg/dL)

5.3 ± 0.4

5.3 ± 0.4

5.3 ± 0.5

0.928

TC

(mg/dL)

155.4 ± 18.4

154.8 ± 18.0

156.3 ± 19.1

0.769

Blood glucose

(mg/dL)

123.4 ± 19.9

122.4 ± 19.5

125.3 ± 20.9

0.576

AF

 

21

10

11

0.098

Changes of ST–T segment in ECG

 

101

71

30

0.105

HCV infection

 

18

10

8

0.428

ACEI

 

20

12

8

0.683

ARB

 

167

167

0

CCB

 

186

139

47

<0.001

beta-B

 

88

66

22

0.009

VD

 

157

111

46

0.007

Weekly dose of Erythropoietin/DW

(U/w/kg)

119.7 ± 44.4

121.5 ± 44.5

116.6 ± 44.6

0.354

CAD coronary artery disease, CHF congestive heart failure, SBP systolic blood pressure, DBP diastolic blood pressure, BUN blood urea nitrogen, Alb albumin, Hb hemoglobin, CRP C-reactive protein, K serum potassium, Ca calcium, P phosphorus, TC total cholesterol, AF atrial fibrillation, HCV hepatitis C virus, ACEI angiotensin converting enzyme inhibitor, ARB angiotensin II receptor blocker, CCB calcium channel blocker, beta-B beta receptor blocker, VD vitamin D3, DW dry weight

During a mean follow-up period of 3.28 ± 0.74 years, 69 patients died; 43 of these deaths were due to cardiovascular disease (Tables 1 and 2). All-cause mortality rate was the same for ARB group (25.1 %) and non-ARB groups (29.0 %). The time course of the relationship between ARB intake and survival was similar for the two groups (p = 0.420) (Fig. 1).
Table 2

Causes of death

  

ARB

 

Total

(+)

(−)

Cardiovascular death

43

27

16

 CHF

9

6

3

 Acute coronary syndrome

2

1

1

 Cardiac sudden death

14

7

7

 Cerebral infarction

8

5

3

 Cerebral hemorrhage

4

2

2

 Aortic or peripheral artery disease

6

6

0

Death of other cause

26

15

11

 Infection

13

7

6

 Hepatic failure

2

1

1

 Malignancy

3

3

0

 Others

8

4

4

 Total

69

42

27

CHF congestive heart failure

Fig. 1

Kaplan–Meier survival analysis between ARB group and non-ARB group

Multivariate analysis (Table 3) showed that treatment with ARB was not an independent prognostic factor for all-cause mortality. Age, gender, SBP at the beginning of dialysis, serum levels of albumin, CRP, and BS, serum K below 4.6 mEq/L, presence of AF on ECG, and intake of VD were extracted as significant prognostic factors for all-cause mortality.
Table 3

Prognostic factors in the eligible patients for all-cause mortality

 

Exp(B)

95 % CI

p value

Age (per +1 year old)

1.047

1.020–1.075

0.001

Gender (male)

2.114

1.172–3.813

0.013

SBP at the beginning of session (per +1 mmHg)

1.018

1.004–1.032

0.012

Albumin (per +1 g/dL)

0.151

0.071–0.321

<0.001

CRP (per +1 mg/dL)

1.147

1.038–1.268

0.007

SK < 4.6 mEq/L

2.453

1.469–4.095

0.001

Blood glucose (per +1 mg/dL)

1.009

1.002–1.016

0.008

AF

2.586

1.221–5.474

0.013

VD

0.580

0.350–0.962

0.035

SBP systolic blood pressure, CRP C-reactive protein, SK serum potassium, AF atrial fibrillation, VD vitamin D3

Comparison of therapeutic prognosis with ARB according to pre-dialysis serum K levels

Groups 1, 2, 3, and 4 comprised 27, 36, 66, and 131 patients, respectively (Table 4). Vintage of dialysis, SBP, DBP, BUN, Kt/V, Alb, Hb, CRP, Ca, P, BS, and frequency of prescriptions of CCB, Beta-B, and VD were significantly different among these four groups. Group 4, as the control for multivariate analysis, included patients who have been on HD for a relatively longer time and showed good nutritional status, low CRP levels, and high frequency of CCB, Beta-B, and VD prescriptions. In terms of all-cause mortality, patients in group 2 had the highest rate, whereas those in group 4 had the lowest (p < 0.001) (Fig. 2). Multivariate analysis showed that groups 1–3 had high all-cause mortality rates (Table 5). Age, SBP, Kt/V, Alb, CRP, BS, and presence of AF were also determined as prognostic factors for all-cause mortality. In terms of cardiovascular mortality, groups 1 and 2 had high cardiovascular mortality rates and hazard ratio was 3.469 (1.180–10.19, p = 0.024) in group 1 and 4.980 (2.117–11.71, p < 0.001) in group 2.
Table 4

Patient profile grouping by predialysis potassium and ARB treatment

  

Predialysis potassium

 
  

<4.6 mEq/L

≥4.6 mEq/L

 
  

ARB(−)

ARB(+)

ARB(−)

ARB(+)

 
  

Group 1

Group 2

Group 3

Group 4

p value

  

(n = 27)

(n = 36)

(n = 66)

(n = 131)

 

Age

(Years old)

70.2 ± 7.19

72.7 ± 6.54

70.0 ± 6.56

66.8 ± 5.85

0.060

Gender (M to F ratio)

 

17:10

27:9

37:29

68:63

0.087

Vintage of dialysis

(Years)

2.18 ± 2.07

3.67 ± 2.32

6.95 ± 3.31

6.17 ± 3.48

0.002

Diabetes

 

8

18

18

45

0.131

CAD

 

5

5

8

32

0.166

CHF

 

3

3

5

7

0.710

Stroke

 

4

5

4

8

0.230

SBP at the beginning of session

(mmHg)

132.9 ± 11.6

153.7 ± 9.62

143.0 ± 9.43

153.0 ± 7.52

<0.001

DBP at the beginning of session

(mmHg)

69.6 ± 5.03

73.3 ± 6.00

73.6 ± 6.04

75.3 ± 4.87

0.019

BUN

(mg/dL)

59.4 ± 5.15

55.4 ± 5.23

63.7 ± 5.44

65.6 ± 4.58

<0.001

Kt/V

 

0.87 ± 0.09

0.83 ± 0.12

0.99 ± 0.11

0.99 ± 0.09

<0.001

Alb

(g/dL)

3.55 ± 0.22

3.40 ± 0.23

3.62 ± 0.20

3.71 ± 0.14

<0.001

Hb

(g/dL)

10.22 ± 0.39

9.75 ± 0.46

10.02 ± 0.34

10.11 ± 0.26

0.016

CRP

(mg/dL)

1.45 ± 1.03

1.96 ± 2.09

0.91 ± 0.63

0.69 ± 0.54

0.004

K

(mEq/L)

4.2 ± 0.2

4.2 ± 0.2

5.2 ± 0.2

5.2 ± 0.2

Ca

(mg/dL)

8.3 ± 0.3

8.5 ± 0.2

8.6 ± 0.3

8.7 ± 0.3

0.027

P

(mg/dL)

5.1 ± 0.6

4.6 ± 0.4

5.4 ± 0.4

5.5 ± 0.4

<0.001

TC

(mg/dL)

164.5 ± 21.9

142.3 ± 15.6

152.8 ± 17.7

157.9 ± 18.3

0.083

Blood glucose

(mg/dL)

131.3 ± 21.8

139.6 ± 25.3

122.9 ± 20.7

118.3 ± 17.3

0.040

AF

 

4

2

7

8

0.363

Changes of ST–T segment in ECG

 

6

16

24

55

0.230

HCV infection

 

2

4

6

6

0.464

ACEI

 

1

1

7

11

0.442

ARB

 

0

36

0

131

CCB

 

14

30

33

109

<0.001

beta-B

 

4

8

18

58

0.002

VD

 

12

19

34

92

0.010

Weekly dose of erythropoietin/DW

(U/w/kg)

111.5 ± 41.9

146.4 ± 41.4

118.6 ± 45.9

114.6 ± 44.8

0.272

Observational period

 

2.66 ± 0.81

2.19 ± 0.74

3.40 ± 0.71

3.65 ± 0.66

<0.001

All-cause death

 

8

24

19

18

<0.001

Cardiovascular death

 

5

14

11

13

<0.001

CAD coronary artery disease, CHF congestive heart failure, SBP systolic blood pressure, DBP diastolic blood pressure, BUN blood urea nitrogen, Alb albumin, Hb hemoglobin, CRP C-reactive protein, K serum potassium, Ca calcium, P phosphorus, TC total cholesterol, AF atrial fibrillation, HCV hepatitis C virus, ACEI angiotensin converting enzyme inhibitor, ARB angiotensin II receptor blocker, CCB calcium channel blocker, beta-B beta receptor blocker, VD vitamin D3, DW dry weight

Fig. 2

Impact of serum potassium level above median on the relationship between ARB treatment and all-cause mortality

Table 5

Prognostic factors of eligible patients including three groups as explanatory factors

 

Exp(B)

95 % CI

p value

Age (per +1 year old)

1.048

1.019–1.078

0.001

SBP at the beginning of session (per +1 mmHg)

1.024

1.008–1.040

0.003

Kt/V (per +1.0)

0.228

0.067–0.776

0.018

Albumin (per +1 g/dL)

0.200

0.094–0.427

<0.001

CRP (per +1 mg/dL)

1.163

1.055–1.281

0.002

Blood glucose (per +1 mg/dL)

1.007

1.000–1.013

0.043

AF

3.244

1.549–6.795

0.002

Group 1 (SK < 4.6 mEq/L, ARB(−))

3.957

1.599–9.794

0.003

Group 2 (SK < 4.6 mEq/L, ARB(+))

3.707

1.889–7.277

<0.001

Group 3 (SK ≥ 4.6 mEq/L, ARB(−))

2.445

1.211–4.934

0.013

SBP systolic blood pressure, CRP C-reactive protein, AF atrial fibrillation, SK serum potassium

Discussion

Pre-dialysis serum K level is one of the prognostic factors in patients on dialysis. Hypokalemia has been reported to be associated with poor prognosis in terms of all-cause mortality; similarly, remarkable hyperkalemia has also been reported to evoke lethal arrhythmia [4, 5]. Specifically, among patients on ARB use, those with normokalemia or hyperkalemia before dialysis had the lowest all-cause mortality rate, whereas those with hypokalemia before dialysis showed the poorest prognosis. On the other hand, for dialysis patients who were not on ARB treatment, hyperkalemia before dialysis was associated with better prognosis than for those with hypokalemia before dialysis. In addition, the characteristics of groups 1–3 were independent risk factors that increased all-cause mortality.

Several studies have indicated that RAS inhibitors, including ACEi and ARBs, decreased cardiovascular events, ameliorated renal function decline, and decreased mortality rates of hypertensive or diabetic patients [79]. In dialysis patients, several reports have shown the suppressive effects of RAS inhibitors on left ventricular hypertrophy; however, whether or not antihypertensive therapy with RAS inhibitors can ameliorate all-cause or cardiovascular mortality remains to be determined [10]. A randomized trial on fosinopril in 397 dialysis patients failed to show improved cardiovascular prognosis [11]. In a meta-analysis of randomized controlled trials of peritoneal dialysis patients, antihypertensive therapy with ACEi or ARB did not reduce mortality rates and cardiovascular events [12]. A retrospective investigation on the efficacy ACEi or ARB for good cardiovascular prognosis in 1950 dialysis patients did not show an association between the use of these RAS inhibitors and reduction of cardiovascular events [13]. On the other hand, a retrospective study based on the DOPPS I and II registries by Lopes et al. [14] and an observational study on 28,628 dialysis patients by Chan et al. [15] similarly showed that the use of ARB was associated with reduction of mortality rates.

In this study, all patients had the same all-cause mortality regardless of ARB; however, those who were on ARB and had pre-dialysis normokalemia or hyperkalemia showed lower mortality than the others. From these results, antihypertensive therapy with ARB would seem to improve prognosis only in patients with pre-dialysis serum K level of 4.6 mEq/L or more. Because low pre-dialysis serum K (below 4.6 mEq/L) was a risk factor for all-cause mortality in this study, it is necessary to determine whether the demonstrated efficacy of ARB in group 4 was secondary to an increased serum K level or was due to the suppression of the RAS.

Although there was no significant difference in pre-dialysis serum K levels between the ARB and non-ARB groups, normokalemic or hyperkalemic patients on ARBs had lower mortality rates than did those who were not on ARBs. Furthermore, our results on multivariate analysis suggest that ARB treatment improved prognosis regardless of serum K levels. However, the influence of ARBs on serum K levels was not accounted for and may have confounded the outcomes of our study population.

In pre-dialysis patients with renal failure, it is generally accepted that the frequency of hyperkalemia due to ARB use may increase along with deterioration of renal function [1]. In contrast, it has not been clarified whether antihypertensive therapy with RAS inhibitors is a risk factor for lethal hyperkalemia in dialysis patients. Knoll et al. reported that the risk for hyperkalemia in dialysis patients increased 2.1–2.3 times due to the use of RAS inhibitors [16]. In other literature, the relationship between the use of ARB and changes in serum K was not shown in dialysis patients [17, 18]. This present study was observational and based on our dialysis database; in addition, patients who were on ARB at the time of registration to the database were assigned to the ARB group. Therefore, changes in serum K that may be secondary to ARB administration have not been recorded. In all patients, univariate regression analysis showed a positive correlation between ARB use and pre-dialysis serum K (p = 0.016); conversely, multivariate linear regression analysis using stepwise backward elimination did not demonstrate a significant relationship between ARB use and serum K (Table 6). Factors, such as age, vintage of dialysis, SBP, BUN, Kt/V, Alb, P, and Beta-B use, were positively correlated with serum K. Among these related factors, SBP, BUN, Kt/V, Alb, and P were indicators of nutritional status, suggesting that serum K may also be associated with nutritional status, regardless of ARB use. This association between pre-dialysis serum K and nutritional status was similarly suggested by Kovesdy et al. [7]. Furthermore, in a post hoc analysis of 4D, hypokalemia was evaluated as one of the indicators of malnutrition [19]. Consequently, RAS suppression by ARB use, rather than serum K changes, has been suggested to contribute to the favorable prognosis of group 4 patients in this study.
Table 6

Correlation with serum potassium in the eligible patients

 

Standardized B

p value

Age

0.126

0.019

Vintage of dialysis

0.165

0.002

SBP at the beginning of session

0.161

<0.001

BUN

0.327

<0.001

Kt/V

0.221

<0.001

Albumin

0.164

0.003

Phosphorus

0.229

<0.001

Use of beta-B

0.129

0.008

SBP systolic blood pressure, BUN blood urea nitrogen, beta-B beta receptor blocker

In this study, the difference in prognosis between hypokalemic and normokalemic or hyperkalemic patients on ARB may be explained by some humoral factors that could have influenced the effect of serum K on therapeutic prognosis of ARB. Based on previous literature, changes in plasma aldosterone concentration (PAC) positively correlated with serum K level in anuric dialysis patients [20]. In this present study, measurement of PAC was incidentally performed in nine patients during the observation period; Fig. 3 shows a positive correlation of PAC/plasma renin-activity ratio with serum K level in these patients. Similarly, dependency of aldosterone secretion on serum K level in dialysis patients was suggested in this study. High levels of aldosterone induce vascular and organ damage, such as atherosclerosis, renal fibrosis, myocardial hypertrophy, and fibrosis [21]. In vascular smooth muscle cells, the link between aldosterone and angiotensin II receptor was also reported [21]. The randomized aldactone evaluation study (RALES) revealed that spironolactone reduced all-cause mortality in patients with severe heart failure [22]. In a recent randomized study on dialysis patients, spironolactone reduced cardiovascular events and deaths [23]. Consequently, excess secretion of aldosterone due to hyperkalemia in groups 3 and 4 was inferred in this study. It is possible that antihypertensive therapy with ARB in group 4 suppressed aldosterone secretion or the cross-talk with aldosterone receptor to reduce all-cause mortality.
Fig. 3

Correlation between serum potassium (K) level and plasma aldosterone level/plasma renin-activity (PAC/PRA) ratio

In contrast, low aldosterone secretion due to hypokalemia in groups 1 and 2 was inferred based on the finding that ARB use with serum K below 4.6 mEq/L had increased all-cause mortality. Low aldosterone level as a risk factor for all-cause mortality was reported in dialysis patients by Kohagura et al. [24]. However, the therapeutic prognosis of ARB in dialysis patients with hypokalemia or low aldosterone levels has not been clarified at the moment. In hypokalemic dialysis patients, antihypertensive therapy with ARB may further reduce aldosterone secretion and increase all-cause mortality. Accordingly, based on aldosterone levels, it is necessary to confirm the therapeutic prognosis and appropriate use of ARB in dialysis patients.

Regarding ACEI treatment, there was no significant difference in the mortality risk among the four groups according to serum K levels (4.6 mEq/L) and the use or non-use of ACEI monotherapy and combination therapy with ARB. Multiple analyses showed that groups 1–3 did not have high all-cause mortality rates. However, the number of patients with ACEI treatment was so small, especially two patients in group 2. It will be necessary to confirm the safety of ACEI treatment in patients with serum K levels below 4.6 mEq/L.

Limitations: This was a single-center observational study on a relatively small study population. Despite using multiple methods to address potential bias, we cannot rule out the possibility of residual confounding factors that may have affected the outcomes of patients on ARB use. In addition, the effects of dosage or duration of antihypertensive therapy with ARB were not addressed.

Conclusions

In conclusion, pre-dialysis serum K may influence the efficacy of ARB on all-cause mortality. Hyperkalemic dialysis patients were suggested as the best candidates for antihypertensive therapy with ARB. In contrast, dialysis patients with serum K below 4.6 mEq/L may need to reconsider intake of antihypertensive agents other than ARBs. The relationship between therapeutic prognosis with ARB and serum K or aldosterone level must be confirmed by prospective randomized studies in the future.

Declarations

Acknowledgements

The authors would like to thank the dialysis room staffs of Yoshikawa Clinic for their invaluable cooperation in data collection in this study and Enago (www.enago.com) for the English language review.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Internal Medicine, Yoshikawa Clinic
(2)
Department of Medicine, Tokyo Women’s Medical University Medical Center East
(3)
Department of Medicine, Kidney Center, Tokyo Women’s Medical University

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© The Author(s) 2016

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