Literature DB >> 34974657

The paradoxical effect of aldosterone on cardiovascular outcome in maintenance hemodialysis patients.

Sun Ryoung Choi1,2, Young-Ki Lee2,3, Hayne Cho Park2,3, Do Hyoung Kim2,3, AJin Cho2,3, Juhee Kim3, Kyu Sang Yun2,3, Jung-Woo Noh2,3, Min-Kyung Kang4.   

Abstract

BACKGROUND: Patients with end-stage kidney disease face increased risk of cardiovascular events, and left ventricular diastolic dysfunction (LVDD) contributes to the high occurrence of cardiovascular mortality (CM). Although a high serum aldosterone (sALD) level is involved in the development of cardiovascular complications in the general population, this association is unclear in patients undergoing hemodialysis. We aimed to determine the impact of sALD on LVDD and CM among hemodialysis patients (HDPs).
METHODS: We performed a prospective cohort study of maintenance HDPs without cardiovascular disease. The patients were divided into two groups according to the median level of sALD. All patients underwent baseline echocardiography to evaluate diastolic dysfunction (E/e' ratio > 15). The LVDD and CM rates were compared between the high and low aldosterone groups.
RESULTS: We enrolled a total of 60 adult patients (mean age, 57.9 ± 12.1 years; males, 30.0%). The low aldosterone group had an increased left ventricular diastolic dimension compared with the high aldosterone group (52.2 ± 8.4 mm vs. 50.3 ± 5.2 mm, respectively; p = 0.03). Low log-aldosterone (odds ratio [OR], 0.40; 95% confidence interval [CI], 0.19-0.86) and large left atrial dimension (OR, 1.31; 95% CI, 1.11-1.54) were independent risk factors for LVDD at baseline. In addition, Cox regression analysis demonstrated that low sALD was an independent predictor of CM in HDPs (hazard ratio, 0.46; 95% CI, 0.25-0.85; p = 0.01) during follow-up.
CONCLUSION: Low sALD was not only associated with LVDD but was also an independent predictor of CM among HDPs regardless of their interdialytic weight gain.

Entities:  

Keywords:  Aldosterone; Cardiovascular disease; Hemodialysis

Year:  2021        PMID: 34974657      PMCID: PMC8816408          DOI: 10.23876/j.krcp.21.096

Source DB:  PubMed          Journal:  Kidney Res Clin Pract        ISSN: 2211-9132


Introduction

Among patients on hemodialysis (HD), cardiovascular (CV) mortality is the leading cause of death and accounts for almost 50% of deaths in these patients. The renin-angiotensin-aldosterone system (RAAS) plays a significant role in the pathogenesis of vascular remodeling of the heart and systemic organs, in addition to its classical role in the maintenance of water-electrolyte balance, acid-base balance, and blood pressure regulation [1]. Aldosterone is the primary effector hormone of the RAAS and may have deleterious effects, including fibrosis, hypertrophy, and stimulation of smooth muscle cell proliferation and collagen production with a concurrent elevation in inflammatory and oxidative signaling [2]. Accordingly, aldosterone contributes to the development of myocardial hypertrophy and interstitial fibrosis, thereby promoting left ventricular diastolic dysfunction (LVDD) [3-5]. Likewise, it is actively involved in the development of proinflammatory and prothrombotic states, such as atherosclerotic CV disease [6]. Despite accumulating evidence supporting the positive correlation between aldosterone concentration and CV mortality in the general population as well as in patients with chronic kidney disease (CKD) [7-9], the results have been conflicting in patients undergoing HD. Interestingly, two previous studies reported the paradoxical causality between aldosterone and mortality among HD patients [10,11]. Left ventricular (LV) remodeling may play an important role in this inverse correlation. Therefore, we hypothesized that low serum aldosterone levels may be associated with LVDD and may increase the incidence of CV mortality in maintenance HD patients.

Methods

Study population

This study was conducted at Hallym University Kangnam Sacred Heart Hospital (Seoul, Korea). Ninety-five maintenance HD patients were eligible for the study and were followed up from March 2012 to February 2019. HD was performed three times weekly for four hours each session. Each patient underwent outpatient HD for at least three months. Patients with a history of CV disease and transplantation who had an active infection or a documented malignancy or those who failed to undergo an echocardiogram were excluded. Of the 95 enrolled patients, 33 had a previous history of CV disease, one had liver cirrhosis, and one was treated for hepatocellular carcinoma. The 60 remaining patients were included in this study. Patients were grouped based on their levels of serum aldosterone (Fig. 1). This prospective observational study was conducted in accordance with the principles contained in the Declaration of Helsinki and was approved by the Institutional Review Board of Hallym University Kangnam Sacred Hospital (No. 2010-05-33). Written informed consent was obtained from all participants.
Figure 1.

Flow diagram summarizing the process of patient enrollment and follow-up.

HD, hemodialysis; CV, cardiovascular.

Clinical and biochemical parameters

Baseline parameters including demographic, laboratory, and HD data were collected during the study enrollment process. CV disease included coronary artery, cerebrovascular, and peripheral vascular diseases, and CV mortality was defined as death attributable to CV disease. Blood samples to assess the serum aldosterone level were obtained before the midweek dialysis session to measure various markers using standard techniques after a 15-minute period of rest in the supine position [10]. The method for the quantitative determination of the LIAISON aldosterone assay is a competitive assay that uses sheep monoclonal antibodies to capture the aldosterone molecule (intraassay coefficient of variation, 2.1%–4.2%; interassay coefficient of variation, 5.8%–10.5%) (DiaSorin Inc., Stillwater, MN, USA). The body mass index (BMI) was calculated as the participants’ dry weight in kilograms divided by their height in meters squared (kg/m2). The Kt/V was determined using the logarithmic estimate of the Daugirdas method [12]. To estimate the volume status, the interdialytic weight gain (IDWG) was calculated as the mean value of weight gain after three consecutive HD sessions during the week of enrollment [13]. The dry weight was ascertained by clinical assessment at least monthly using chest X-rays. The ratio of absolute IDWG to the patient’s dry weight was defined as the IDWG%; an IDWG% of ≥4.0 was regarded as excessive [14]. Medical staff and dietitians advised the patients to limit their sodium intake to <2.3 g per day to improve volume control [15]. Additionally, patients who were currently taking an angiotensin-converting enzyme inhibitor (ACEI) or an angiotensin receptor blocker (ARB) were divided into two groups according to the prescription drug dose. Those taking the maximum dose of ACEI or ARB were placed into the high-dose group, while those on lower doses made up the low group.

Echocardiography

Transthoracic echocardiograms were performed for baseline assessments on a nondialysis day within 1 month from the date of receipt of informed consent and were obtained by fundamental imaging (two-dimensional, M-mode, and tissue Doppler imaging [TDI]) using a 2.5-MHz transducer and a commercial ultrasound system (Vivid 7; GE Vingmed Ultrasound AS, Horten, Norway); no further follow-up examinations were performed. The chamber dimensions, wall thickness, and LV ejection fraction (EF) were measured (M-mode), and the mitral annular velocities were obtained by TDI. The left atrial dimension (LAD) was determined from M-mode echocardiograms using a leading edge to leading edge technique by measuring the maximal distance between the posterior aortic root wall and the posterior LA wall at end-systole [16]. We measured the peak velocities of early diastole (e') and calculated the E/e' ratio, which reflects the mean LV diastolic pressure; an E/e' ratio of >15 indicates LVDD [17]. The LV mass was calculated using the Devereux formula [LV mass (g) = 1.04 × (interventricular septal thickness + LV end-diastolic dimension + posterior wall thickness)3 – (LV end-diastolic dimension)3 – 13.6] [18], and the LV mass index (LVMI) was determined as the LV mass in grams divided by the body surface area. LV hypertrophy (LVH) was defined as an LVMI of at least 149 g/m2 in males and 122 g/m2 in females according to the current American and European guidelines [19]. LV systolic function was assessed by calculating the EF using a modified Simpson’s method, and LV systolic dysfunction (LVSD) was defined as an EF of <50% [20]. Echocardiography was performed by two experienced specialists who were blinded to all patient information.

Statistical analysis

The patients were divided into two groups according to their median level of serum aldosterone. The associations between serum aldosterone, IDWG, and echocardiographic parameters were assessed at study enrollment. The participants were followed up to evaluate the effect of aldosterone on CV mortality until death or through March 2019. The researchers obtained the date and cause of death from a medical record review or a phone call at the end of the follow-up period. These summary statistics are expressed as the mean (standard deviation) or median (interquartile range) for continuous variables and as frequencies or percentages for categorical variables. Continuous variables were compared using the Student t test for two groups or the Mann-Whitney U test for the nonparametric test. Categorical variables were compared using the chi-square test. A multivariate logistic regression analysis was performed to identify the independent risk factors for LVDD. A multivariate analysis that used the enter method was performed on variables that were shown to be meaningful upon univariate analysis. A Cox regression analysis was performed by the enter method to evaluate the influence of serum aldosterone on CV and all-cause mortality. All tests were performed using the PASW Statistics version 18.0 (IBM Corp., Armonk, NY, USA). A p-value of <0.05 was considered statistically significant.

Results

Baseline characteristics according to serum aldosterone level

Among the 60 participants, the mean age was 57.9 ± 12.1 years (range, 34–82 years), and 18 patients (30.0%) were male. The median dialysis duration was 3.2 years (interquartile range, 0.4–22.0 years). The underlying cause of end-stage renal disease (ESRD) was diabetes in 30 patients (50.0%). Table 1 shows the baseline data of the low and high serum aldosterone groups. The high aldosterone group had higher levels of serum albumin (4.1 ± 0.3 g/dL vs. 3.8 ± 0.4 g/dL, respectively; p = 0.008) than the low aldosterone group. No significant differences were observed in the absolute IDWG (2.5 ± 1.3 kg vs. 2.4 ± 1.1 kg, respectively; p = 0.88), the proportion of excessive IDWG (4.3% ± 2.2% vs. 4.7% ± 2.3%, respectively; p = 0.46), and the BMI (23.2 ± 3.4 kg/m2 vs. 21.5 ± 3.1 kg/m2, respectively; p = 0.06) between the high aldosterone group and the low aldosterone group (Table 1). There was no significant difference in the proportion of patients taking an ACEI or ARB between the two groups; likewise, there was no significant difference according to the dose.
Table 1.

Baseline characteristics of patients according to serum aldosterone level

CharacteristicAllLow aldosterone groupHigh aldosterone groupp-value
Demographic data
 No. of patients603030
 Age (yr)57.9 ± 12.160.3 ± 13.255.5 ± 10.60.13
 Male sex18 (30.0)8 (26.7)10 (33.3)0.40
 Diabetes mellitus30 (50.0)15 (50.0)15 (50.0)>0.99
 Hypertension49 (81.7)27 (90.0)22 (73.3)0.18
 SBP (mmHg)143.4 ± 11.4144.8 ± 10.1141.9 ± 12.60.36
 DBP (mmHg)82.1 ± 7.283.3 ± 6.280.7 ± 7.90.20
 Dialysis vintage (yr)4.7 ± 4.64.0 ± 3.85.4 ± 5.30.25
 Body mass index (kg/m2)22.3 ± 3.421.5 ± 3.123.2 ± 3.40.06
 Kt/V1.58 ± 0.261.58 ± 0.211.57 ± 0.310.85
Laboratory data
 Log-aldosterone3.8 ± 1.42.8 ± 1.24.8 ± 0.8<0.001
 Aldosterone (ng/dL)[a]44.0 (0.1–1,210.4)23.0 (0.1–44.0)96.8 (47.5–1,210.4)0.001
 Hemoglobin (g/dL)10.0 ± 0.99.8 ± 0.810.3 ± 1.00.07
 hs-CRP (mg/L)2.1 ± 1.92.0 ± 1.82.2 ± 2.10.68
 Albumin (g/dL)4.0 ±0.43.8 ± 0.44.1 ± 0.30.008
 iPTH (pg/mL)204.3 ± 302.7197.9 ± 384.9210.8 ± 195.30.87
 Sodium (mEq/L)137.9 ± 3.1137.9 ± 3.2137.9 ± 3.10.94
 Potassium (mEq/L)4.6 ± 0.74.5 ± 0.74.7 ± 0.70.13
 Calcium (mg/dL)8.3 ± 0.88.2 ± 0.78.5 ± 0.90.28
 Phosphorus (mg/dL)4.8 ± 1.44.6 ± 1.35.1 ± 1.40.18
 Total CO2 (mmol/L)19.5 ± 2.119.8 ± 1.819.1 ± 2.40.19
 Total cholesterol (mg/dL)154.8 ± 32.7150.1 ± 26.9159.4 ± 37.40.28
 Triglyceride (mg/dL)108.4 ± 70.991.5 ± 51.8125.2 ± 83.40.07
 HDL cholesterol (mg/dL)43.4 ± 13.743.1 ± 12.543.7 ± 14.90.86
 LDL cholesterol (mg/dL)87.0 ± 27.385.5 ± 20.988.6 ± 32.80.66
Current medication[b]
 Aspirin46 (76.7)23 (76.6)23 (76.6)>0.99
 ACEI or ARB44 (73.3)24 (80.0)20 (66.7)0.24
  High dose28 (63.7)17 (70.8)11 (55.0)0.35
 Calcium channel blocker39 (65.0)23 (76.7)16 (53.3)0.10
 Beta-blocker33 (55.0)20 (66.7)13 (43.3)0.12
 Statin5 (8.3)2 (6.7)3 (8.3)>0.99
IDWG (kg)2.5 ± 1.22.4 ± 1.12.5 ± 1.30.88
 IDWG%4.5 ± 2.24.7 ± 2.34.3 ± 2.20.46
 Excessive IDWG34 (56.7)17 (56.7)17 (56.7)>0.99

Data are expressed as number only, mean ± standard deviation, number (%), or median (interquartile range).

ACEI, angiotensin-converting enzyme inhibitors; ARB, angiotensin receptor blocker; DBP, diastolic blood pressure; HDL, high-density lipoprotein; hs-CRP, high-sensitivity C-reactive protein; IDWG, interdialytic weight gain; iPTH, intact parathyroid hormone; LDL, low-density lipoprotein; SBP, systolic blood pressure.

Median (interquartile range) values are presented because of a skewed distribution.

None of the patients was treated with aldosterone antagonists.

Baseline characteristics according to interdialytic weight gain

Table 2 shows a comparative analysis of the baseline characteristics of patients with excessive IDWG and those without excessive IDWG. No significant difference was observed in the aldosterone levels between the group with an IDWG of >4% and that without an IDWG of >4% (p = 0.30) (Table 2). Patients with excessive IDWG had higher levels of serum potassium (4.9 ± 0.6 mEq/L vs. 4.3 ± 0.7 mEq/L, respectively; p = 0.001), calcium (8.5 ± 1.0 mg/dL vs. 8.1 ± 0.6 mg/dL, respectively; p = 0.03), phosphorus (5.4 ± 1.3 mg/dL vs. 4.1 ± 1.2 mg/dL, respectively; p < 0.001), and high-density lipoprotein cholesterol (46.9 ± 15.1 mg/dL vs. 38.8 ± 10.1 mg/dL, respectively; p = 0.02) and lower levels of total CO2 (18.6 ± 1.6 mmol/L vs. 20.7 ± 2.3 mmol/L, respectively; p < 0.001) than those without.
Table 2.

Comparative analysis of the baseline characteristics of patients according to IDWG

CharacteristicAllIDWG/DW < 4%IDWG/DW ≥ 4%p-value
Demographic data
 No. of patients602634
 Age (yr)57.9 ± 12.160.5 ± 13.156.0 ± 11.30.16
 Male sex18 (30.0)10 (38.5)8 (23.5)0.17
 Diabetes melliuts30 (50.0)11 (42.3)19 (55.9)0.22
 Hypertension49 (81.7)18 (69.2)31 (91.2)0.03
 SBP (mmHg)143.4 ± 11.4141.2 ± 12.7145.4 ± 10.00.19
 DBP (mmHg)82.1 ± 7.281.6 ± 6.282.5 ± 8.00.65
 Dialysis vintage (yr)4.7 ± 4.63.5 ± 4.45.8 ± 4.60.06
 Body mass index (kg/m2)22.3 ± 3.422.4 ± 2.922.4 ± 3.80.93
 Kt/V1.58 ± 0.261.52 ± 0.281.62 ± 0.250.15
Laboratory data
 Log-aldosterone3.8 ± 1.43.7 ± 1.54.0 ± 1.40.30
 Hemoglobin (g/dL)10.0 ± 0.910.3 ± 1.19.9 ± 0.90.13
 hs-CRP (mg/L)2.1 ± 1.92.1 ± 1.62.2 ± 2.20.87
 Albumin (g/dL)4.0 ± 0.43.9 ± 0.54.1 ± 0.40.23
 iPTH (pg/mL)204.3 ± 302.7153.4 ± 120.3243.4 ± 386.30.26
 Sodium (mEq/L)137.9 ± 3.1138.4 ± 3.1137.5 ± 3.10.30
 Potassium (mEq/L)4.6 ± 0.74.3 ± 0.74.9 ± 0.60.001
 Calcium (mg/dL)8.3 ± 0.98.1 ± 0.68.5 ± 1.00.03
 Phosphorus (mg/dL)4.9 ± 1.44.1 ± 1.25.4 ± 1.3<0.001
 Total CO2 (mmol/L)19.5 ± 2.120.7 ± 2.318.6 ± 1.6<0.001
 Total cholesterol (mg/dL)154.8 ± 32.7160.6 ± 37.0150.3 ± 28.70.23
 Triglyceride (mg/dL)108.4 ± 70.9140.4 ± 76.983.8 ± 55.50.002
 HDL cholesterol (mg/dL)43.4 ± 13.738.8 ± 10.146.9 ± 15.10.02
 LDL cholesterol (mg/dL)87.0 ± 27.393.6 ± 29.882.0 ± 24.50.10
Current medication
 Aspirin46 (76.7)18 (69.2)28 (82.4)0.23
 ACEI or ARB44 (73.3)15 (57.6)29 (85.3)0.02
 Calcium channel blocker39 (65.0)12 (46.2)27 (79.4)0.008
 Beta-blocker33 (55.0)6 (23.1)27 (79.4)<0.001
 Statin5 (8.3)1 (3.8)4 (11.8)0.27
 IDWG (kg)2.5 ± 1.21.4 ± 0.83.3 ± 0.7<0.001
 IDWG%4.5 ± 2.22.5 ± 1.36.1 ± 1.5<0.001

Data are expressed as number only, mean ± standard deviation, or number (%).

ACEI, angiotensin-converting enzyme inhibitors; ARB, angiotensin receptor blocker; DBP, diastolic blood pressure; DW, dry weight; HDL, high-density lipoprotein; hs-CRP, high-sensitivity C-reactive protein; IDWG, interdialytic weight gain; iPTH, intact parathyroid hormone; LDL, low-density lipoprotein; SBP, systolic blood pressure.

Aldosterone as an independent risk factor for left ventricular diastolic dysfunction

The log-aldosterone showed a negative correlation with the E/e' ratio (r = –0.435, p = 0.001) (Fig. 2) and a significant positive relationship with the serum albumin (r = 0.513, p < 0.001). The low aldosterone group had a higher LV diastolic dimension than the high aldosterone group (52.2 ± 8.4 mm vs. 50.3 ± 5.2 mm, respectively; p = 0.03) (Table 3). The E/e' ratio (21.0 ± 11.9 vs. 14.6 ± 5.3, p = 0.01) and the proportion of LVDD (66.6% vs. 40.0%, p = 0.04) were significantly higher in the low aldosterone group than in the high aldosterone group, respectively. There were no significant differences in LVMI and the proportion of LVH between the two groups. The high aldosterone group had higher EFs than the low aldosterone group. However, there was no significant difference in the proportion of LVSD between the two groups (Table 3). A multivariate logistic regression revealed that low log-aldosterone (odds ratio [OR], 0.40; 95% confidence interval [CI], 0.19–0.86) and LAD (OR, 1.31; 95% CI, 1.11–1.54) were independent risk factors for LVDD (Table 4).
Figure 2.

Correlations between log-aldosterone and E/e' ratio and log-aldosterone and serum albumin.

E/e' presented a negative correlation (r = –0.435, p = 0.001) (A), while serum albumin demonstrated a positive correlation with log-aldosterone (r = 0.513, p < 0.001) (B).

Table 3.

Baseline echocardiographic findings according to serum aldosterone level

VariableAll (n = 60)Low aldosterone group (n = 30)High aldosterone group (n = 30)p-value
LAD (mm)41.6 ± 7.342.3 ± 7.141.2 ± 6.70.55
LAVI (mL)37.3 ± 13.540.8 ± 15.133.9 ± 10.90.05
LVDd (mm)51.2 ± 7.052.2 ± 8.450.3 ± 5.20.03
IVSd (mm)10.6 ± 1.810.6 ± 1.610.6 ± 2.00.89
PWd (mm)10.4 ± 1.910.6 ± 1.610.2 ± 2.20.43
PAP (mmHg)38.9 ± 15.041.2 ± 15.336.4 ± 14.60.23
LVMI (g/m2)135.5 ± 43.8141.6 ± 44.7129.4 ± 42.70.29
LVH30 (50.0)18 (60.0)12 (40.0)0.12
E/e' ratio17.2 ± 6.921.0 ± 11.914.6 ± 5.30.01
LVDD32 (53.3)20 (66.7)12 (40.0)0.04
EF (%)60.5 ± 9.657.2 ± 10.963.8 ± 6.90.007
LVSD5 (8.3)4 (13.3)1 (3.3)0.35

Data are expressed as mean ± standard deviation or number (%).

LAD, left atrial dimension; LAVI, left atrial volume index; LVDd, end-diastolic left ventricular dimension; IVSd, interventricular septum thickness at end-diastole; PWd, posterior wall thickness at end-diastole; PAP, pulmonary artery pressure; LVMI, left ventricular mass index; LVH, left ventricular hypertrophy; E, early diastolic mitral inflow velocity; e', early diastolic mitral annular velocity; LVDD, left ventricular diastolic dysfunction; EF, ejection fraction; LVSD, left ventricular systolic dysfunction.

Table 4.

Univariate and multivariate logistic regression analysis of LVDD

Univariate
Multivariate
BetaOR (95% CI)p-valueBetaOR (95% CI)p-value
LAD (mm)0.2511.29 (1.14–1.46)<0.0010.2681.31 (1.11–1.54)0.001
Log-aldosterone–0.6480.52 (0.31–0.88)0.02–0.9100.40 (0.19–0.86)0.02
Low aldosterone1.0993.00 (1.05–8.60)0.04
LVMI (g/m2)0.0231.02 (1.01–1.04)0.0050.0041.00 (0.98–1.03)0.74
Age (yr)0.0291.03 (0.99–1.08)0.20
Hypertension0.8472.33 (0.60–9.02)0.22
Diabetes mellitus0.8152.26 (0.80–6.36)0.12
Dialysis vintage (yr)0.0181.02 (0.91–1.14)0.76
Female sex0.8382.31 (0.75–7.16)0.15
IDWG (kg)0.1611.17 (0.77–1.80)0.46
Hemoglobin (g/dL)–0.0880.92 (0.55–1.54)0.74
Albumin (g/dL)–0.1980.82 (0.25–2.68)0.74
Phosphorus (mg/dL)0.1931.21 (0.83–1.77)0.31
Use of ACEI/ARB–0.5260.59 (0.19–1.87)0.37
SBP (mmHg)0.0381.04 (0.99–1.09)0.14
DBP (mmHg)0.0241.03 (0.95–1.11)0.54

ACEI, angiotensin-converting enzyme inhibitors; ARB, angiotensin receptor blocker; CI, confidence interval; DBP, diastolic blood pressure; IDWG, intradialytic weight gain; LAD, left atrial dimension; LVDD, left ventricular diastolic dysfunction; LVMI, left ventricular mass index; OR, odds ratio; SBP, systolic blood pressure.

Covariates with p-values of <0.05 upon univariate analysis (n = 3) were included in the multivariate logistic analysis model, which used an enter method.

Aldosterone and predictors of cardiovascular mortality

During the mean follow-up period of 5.2 years, 10 of 17 deaths were due to CV disease, which occurred in eight patients (26.7%) in the low aldosterone vs. two patients (6.7%) in the high aldosterone group (Fig. 1). A survival analysis showed that the cumulative incidence rates of CV mortality were significantly higher in the low aldosterone group (log-rank test, p = 0.03) (Fig. 3). In a Cox multivariate analysis that had been adjusted for ACEI/ARB use, the albumin, high-sensitivity C-reactive protein (CRP), and Cox regression analysis showed that old age (OR, 1.17; 95% CI, 1.06–1.30; p = 0.003) and low aldosterone levels (OR, 0.46; 95% CI, 0.25–0.85; p = 0.01) were significantly associated with CV mortality in maintenance HD patients (Table 5). However, the all-cause mortality (p = 0.09) and non-CV mortality (p > 0.99) rates were not significantly different between the two groups.
Figure 3.

Kaplan-Meier survival curves for cardiovascular mortality according to the medians of log-aldosterone.

Seven-year cardiovascular survival was significantly higher among patients in the upper median of log-aldosterone than those in the lower median of log-aldosterone (93.3% vs. 73.3%, log-rank test, p = 0.027).

Table 5.

Cox regression analysis of the predictors of cardiovascular mortality

Univariate
Multivariate
OR (95% CI)p-valueOR (95% CI)p-value
Age (yr)1.14 (1.06–1.22)<0.0011.17 (1.06–1.30)0.003
Log-aldosterone0.53 (0.37–0.76)<0.0010.46 (0.25–0.85)0.01
Low aldosterone4.88 (1.03–23.09)0.05
Albumin (g/dL)0.24 (0.06–0.94)0.045.46 (0.70–42.63)0.12
Phosphorus (mg/dL)0.62 (0.39–0.99)0.051.10 (0.59–2.08)0.76
LAD (mm)1.00 (0.92–1.09)0.99
E/e' ratio1.09 (1.00–1.20)0.06
Hemoglobin (g/dL)0.90 (0.48–1.68)0.73
hs-CRP (mg/L)1.19 (0.93–1.54)0.201.24 (0.91–1.69)0.17
Female sex1.90 (0.40–8.96)0.42
Diabetes mellitus2.70 (0.70–10.44)0.15
Hypertension1.01 (0.21–4.75)0.99
SBP (mmHg)1.01 (0.95–1.07)0.79
DBP (mmHg)0.99 (0.90–1.09)0.79
IDWG (kg)0.87 (0.53–1.45)0.60
Dialysis vintage (yr)0.87 (0.69–1.09)0.22
Total cholesterol (mg/dL)0.97 (0.98–1.02)0.97
Sodium (mEq/L)0.95 (0.79–1.14)0.60
Potassium (mEq/L)0.54 (0.23–1.25)0.15
Use of ACEI/ARB0.57 (0.16–2.00)0.380.92 (0.17–5.11)0.93
Use of CCB1.39 (0.36–5.39)0.63
Use of a beta-blocker0.86 (0.25–2.98)0.81
Use of a statin1.42 (0.18–11.21)0.74

ACEI, angiotensin-converting enzyme inhibitors; ARB, angiotensin receptor blocker; CCB, calcium channel blocker; CI, confidence interval; DBP, diastolic blood pressure; E, early diastolic mitral inflow velocity; e', early diastolic mitral annular velocity; hs-CRP, high-sensitivity C-reactive protein; IDWG, intradialytic weight gain; OR, odds ratio; SBP, systolic blood pressure.

Covariates with p-values < 0.05 upon univariate analysis (n = 4), hs-CRP and use of ACEI/ARB were included in the multivariate logistic analysis model, method with enter.

Discussion

This study demonstrated the effect of low serum aldosterone on CV mortality irrespective of IDWG status. Low aldosterone level was significantly associated with a higher prevalence of LVDD. Moreover, low aldosterone was an independent predictor of CV mortality among patients on maintenance HD regardless of IDWG status. Our study results demonstrate the paradoxical effect of serum aldosterone on CV mortality in HD patients compared with the general population. An elevated serum aldosterone level is an established risk factor for LVH and myocardial fibrosis in hypertensive patients without ESRD [21]. However, the mechanisms behind this aldosterone paradox in HD patients are not well understood, and it has been argued that this association may be due to confounding variables. Aldosterone is metabolized predominantly in the liver and is excreted by the kidney. The serum concentration of aldosterone is substantially raised in HD patients. Cooke et al. [22] reported that no diurnal variation in the plasma aldosterone concentration could be demonstrated in HD patients. However, at least three factors play a role in the regulation of aldosterone secretion, including (1) sodium or volume-related stimuli mediated by the renin-angiotensin system, (2) potassium level, and (3) level of adrenocorticotropic hormone. Therefore, both the IDWG and sodium intake can be important triggers that lead to an increase in the plasma renin activity and aldosterone level. However, our study could not determine whether patients’ pre-HD serum aldosterone levels can be a surrogate for long-term IDWG trends. As the glomerular filtration rate decreases, the plasma aldosterone level is inappropriately elevated relative to the accompanying extracellular fluid expansion [23]. A growing body of evidence links aldosterone excess to an increased risk of CV mortality in the general population [7-9]. Patients with CKD also exhibit abnormally high aldosterone levels and a greater CV risk [24]. However, previous studies that have investigated the association between serum aldosterone and CV mortality in HD patients have yielded inconsistent results. Abd ElHafeez et al. [21] reported that the role of aldosterone as an inverse predictor of mortality was negligible after adjusting for potential confounders, such as malnutrition, inflammation, and volume biomarkers. In contrast, Drechsler et al. [25] found that elevated aldosterone levels were associated with strongly higher risks of sudden cardiac death in HD patients with diabetes. Our findings are consistent with those of Kohagura et al. [10], which showed that a lower aldosterone level was an independent predictor of mortality. They limited their study to hypertensive HD patients and excluded patients treated with RAAS inhibitors. In their study, the high aldosterone group had increased serum albumin and IDWG values and reduced CV and all-cause mortality rates. However, in our study, the high aldosterone group did not have either a higher IDWG or decreased non-CV mortality rates compared with the low aldosterone group. Hung et al. [11] also demonstrated that a high aldosterone level was inversely associated with decreased all-cause mortality and CV event rates only during a state of volume overload. In contrast, our subgroup analysis of the presence of excessive IDWG did not show opposite survival curves (p = 0.79, Supplementary Fig. 1A) and instead suggested that patients in the high aldosterone group without evidence of volume overload had better survival (100.0% vs. 69.2%, p = 0.03) (Supplementary Fig. 1B). Contrary to our expectations, the inverse association of aldosterone levels became profound in patients without any volume overload. The difference between our findings and the results of the two studies [10,11] mentioned above seemed to result from the differences in study population, the operational definition of volume overload, and the HD vintage. In our study, the group that did not have excessive IDWG had a tendency to have a shorter HD vintage, which may also have affected the results. Therefore, further investigation is needed to reveal the relationship among serum aldosterone, IDWG, and CV mortality. LVDD develops early in most patients with cardiac diseases and leads to the elevation of LV filling pressure. Furthermore, it is an independent predictor of CV outcome. However, an inverse relationship between aldosterone and LVDD has not been established in HD patients. The prevalence and severity of LVDD gradually increase as renal function decreases, and it occurs in approximately 50% of HD patients, even in those without current symptoms of heart failure [26,27]. Similar to previous studies [28,29], our data showed that LVDD and LVSD were present in 53.3% and 8.3% of HD patients, respectively. Numerous studies have indicated that the E/e' ratio was the best noninvasive predictor of an elevated LV filling pressure and LVDD [30,31]. Franczyk-Skóra et al. [26] showed that the E/e' ratio was two-fold higher in patients with stage 5 CKD than in those with stage 2 CKD, and it was also greater in patients on HD. In addition to the E/e' ratio, LAD is thought to reflect the LV filling pressure and has been considered an integrator of diastolic function over time. Therefore, this parameter provides diagnostic and prognostic information about LVDD and chronicity of disease [32]. Our data also support LAD as an independent risk factor for LVDD. By contrast, the main mechanism underlying LVDD is LVH with myocardial interstitial fibrosis, which induces myocardial stiffness and impairs heart function during diastole [33]. Among the complex pathophysiological factors, the RAAS plays a crucial role in cardiac hypertrophy, fibrosis, and inflammation [34]. However, our data demonstrated that low serum aldosterone level was associated with an increased risk of LVDD, which is not in accordance with the suggested mechanism. The etiology of the reverse epidemiology between aldosterone and CV outcome in HD patients remains unclear, but several possible causes can be hypothesized. First, it may be related to a survival bias [35]. Only a small proportion of CKD patients undergo dialysis; therefore, it is likely that patients on HD have different CV risk factors. The factors that offer survival advantages to a small percentage of patients remain unknown. Another possible explanation is the malnutrition-inflammation complex. Serum albumin is recognized as a marker of malnutrition and inflammation and also is a strong predictor of CV outcome in HD [36]. A previous study [24] showed that aldosterone was inversely associated with inflammatory markers and directly associated with albumin, which suggested that the inflammation-protein wasting complex was the driving stimulus of aldosterone in HD patients. Similarly, the present study revealed a statistically significant positive relationship between serum aldosterone and albumin. Thus, aldosterone may be a nutritional and/or inflammatory marker, especially in chronic HD patients. Several studies have reported a possible association between inflammation and the pathophysiology of LVDD, although they did not include HD patients. Williams et al. [37] suggested that a higher CRP level was related to LVDD but not to systolic dysfunction. Matsubara et al. [38] also showed that inflammatory markers were elevated in patients with LVDD. More recently, Akin et al. [39] demonstrated a significant association between LVDD and CRP elevation. The fact that the serum aldosterone level was higher in our study patients than in the general population [8] may imply that almost all HD patients are already exposed to CV risks. We do not presume that the serum aldosterone should be excluded from the CV risk factors within this population but instead propose that increased aldosterone may provide some survival advantages due to better nutrition and/or its postulated relationship with anti-inflammatory mediators. Third, IDWG may have been insufficient to adequately access patient volume status in this study. The clinical evaluation of volume status using IDWG has limitations since it does not necessarily correlate with extracellular fluid volume expansion, and chronic fluid overload could not be equivalent to IDWG [40]. This study had several limitations. First, this was a single-center study with small sample size. Second, an observational study may only provide an associative link but not a causative link; therefore, we cannot rule out the possibility of unmeasured confounding factors that influenced the implications between aldosterone and CV outcomes. Third, we did not perform bioimpedance spectroscopy to evaluate the patients’ fluid status and did not evaluate the presence of residual renal function. In addition, adherence to a low-salt diet was not assessed objectively. Lastly, we did not sequentially examine the echocardiographic parameters or the patients for the presence of CV events or risk factors (such as their nutritional, inflammatory, and volume status) during the follow-up period, which would have yielded more informative results. In conclusion, this study demonstrated that low serum aldosterone level was not only inversely associated with LVDD but also was an independent predictor of CV mortality among maintenance HD patients without a previous history of CV disease regardless of IDWG. However, further research and clinical trials are needed to reveal the impact of aldosterone on cardiac function, malnutrition-inflammation complex, and CV outcomes in HD patients. Although aldosterone levels are influenced by several factors, elevated levels of serum aldosterone were not associated with an increase in CV mortality, at least in chronic HD patients.
  40 in total

Review 1.  Clinical Impact of Left Ventricular Diastolic Dysfunction in Chronic Kidney Disease.

Authors:  Tetsuya Ogawa; Kosaku Nitta
Journal:  Contrib Nephrol       Date:  2018-05-07       Impact factor: 1.580

2.  Grading of Left Ventricular Diastolic Dysfunction with Preserved Systolic Function by the 2016 American Society of Echocardiography/European Association of Cardiovascular Imaging Recommendations Contributes to Predicting Cardiovascular Events in Hemodialysis Patients.

Authors:  Tatsunori Toida; Reiko Toida; Risa Yamashita; Norihiro Komiya; Shigehiro Uezono; Hiroyuki Komatsu; Tetsunori Ishikawa; Kazuo Kitamura; Yuji Sato; Shouichi Fujimoto
Journal:  Cardiorenal Med       Date:  2019-03-07       Impact factor: 2.041

3.  Circulating tissue inhibitor of matrix metalloproteinase-1 is associated with aldosterone-induced diastolic dysfunction.

Authors:  Chi-Sheng Hung; Chia-Hung Chou; Xue-Ming Wu; Yi-Yao Chang; Vin-Cent Wu; Ying-Hsien Chen; Yuan-Shian Chang; Yao-Chou Tsai; Ming-Jai Su; Yi-Lwun Ho; Ming-Fong Chen; Kwan-Dun Wu; Yen-Hung Lin
Journal:  J Hypertens       Date:  2015-09       Impact factor: 4.844

4.  Plasma aldosterone concentrations in chronic renal disease.

Authors:  R J Hené; P Boer; H A Koomans; E J Mees
Journal:  Kidney Int       Date:  1982-01       Impact factor: 10.612

Review 5.  Latest aspects of aldosterone actions on the heart muscle.

Authors:  A A Kritis; C P Gouta; E I Liaretidou; K I Kallaras
Journal:  J Physiol Pharmacol       Date:  2016-02       Impact factor: 3.011

6.  Left ventricular diastolic dysfunction as a predictor of rapid decline of residual renal function in patients with peritoneal dialysis.

Authors:  Jwa-Kyung Kim; Sung Gyun Kim; Min-Gang Kim; Sung Eun Kim; Soo Jin Kim; Hyung Jik Kim; Young Rim Song
Journal:  J Am Soc Echocardiogr       Date:  2011-12-22       Impact factor: 5.251

7.  Interdialytic Weight Gain: Trends, Predictors, and Associated Outcomes in the International Dialysis Outcomes and Practice Patterns Study (DOPPS).

Authors:  Michelle M Y Wong; Keith P McCullough; Brian A Bieber; Juergen Bommer; Manfred Hecking; Nathan W Levin; William M McClellan; Ronald L Pisoni; Rajiv Saran; Francesca Tentori; Tadashi Tomo; Friedrich K Port; Bruce M Robinson
Journal:  Am J Kidney Dis       Date:  2016-11-17       Impact factor: 8.860

8.  Aldosterone, mortality, cardiovascular events and reverse epidemiology in end stage renal disease.

Authors:  Samar Abd ElHafeez; Giovanni Tripepi; Francesca Mallamaci; Carmine Zoccali
Journal:  Eur J Clin Invest       Date:  2015-09-06       Impact factor: 4.686

9.  Greater fluid overload and lower interdialytic weight gain are independently associated with mortality in a large international hemodialysis population.

Authors:  Manfred Hecking; Ulrich Moissl; Bernd Genser; Hugh Rayner; Indranil Dasgupta; Stefano Stuard; Andrea Stopper; Charles Chazot; Franklin W Maddux; Bernard Canaud; Friedrich K Port; Carmine Zoccali; Peter Wabel
Journal:  Nephrol Dial Transplant       Date:  2018-10-01       Impact factor: 5.992

10.  Aldosterone and cortisol affect the risk of sudden cardiac death in haemodialysis patients.

Authors:  Christiane Drechsler; Eberhard Ritz; Andreas Tomaschitz; Stefan Pilz; Stephan Schönfeld; Katja Blouin; Martin Bidlingmaier; Fabian Hammer; Vera Krane; Winfried März; Bruno Allolio; Martin Fassnacht; Christoph Wanner
Journal:  Eur Heart J       Date:  2012-12-04       Impact factor: 29.983

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