Abstract
Background
The mechanism underlying serum creatinine (SCr) fluctuations in heart failure (HF) patients remains unclear. This study examined mediators of SCr fluctuations under diuretic treatment in HF patients.
Methods and Results
Data from 26 HF patients were analyzed. Clinical tests included measurement of peripheral blood, blood urea nitrogen, SCr, serum and urinary electrolytes, B-type natriuretic peptide (BNP), and plasma neurohormones. Among the 26 patients recovering from worsening HF, changes in SCr were negatively correlated with changes in serum Cl, and positively correlated with changes in plasma arginine vasopressin (AVP). According to the median change in SCr, patients were divided into high (range 0.16–0.79 mg/dL; n=13) and low (range −0.35 to 0.14 mg/dL; n=13) change groups. Plasma AVP concentrations after treatment decreased in the low SCr change group and increased in the high SCr change group (−1.28±2.8 vs. 2.14±4.4 pg/mL, respectively; P=0.027). In both groups, there was no change in plasma volume, plasma BNP and norepinephrine concentrations decreased, and plasma renin activity increased after treatment. Multivariate logistic regression analysis showed a tendency towards an independent association between an increase in SCr and an increase or no change in the plasma AVP after decongestion (odds ratio 4.44; 95% confidence interval 0.81–24.3; P=0.086).
Conclusions
Plasma AVP appears to be a physiologically important mediator of SCr fluctuations under decongestion treatment in HF patients.
Key Words: Antidiuretic hormone, Arginine vasopressin, Creatinine, Diuretics, Heart failure
There are complex interactions between the heart and kidney in heart failure (HF) pathophysiology.1–3 Diuretic therapy for worsening HF frequently leads to deterioration of renal function, as determined by serum creatinine (SCr) concentrations. Many studies report that worsening renal function based on SCr concentrations and/or estimated glomerular filtration rate (eGFR) calculated from the SCr concentration after treatment for acute decompensated HF leads to recurrent episodes of worsening HF, hospitalization, and increased mortality.4–7 Later studies, however, raised questions about the harmful effects of creatinine-based worsening renal function induced by decongestion therapy for acutely decompensated HF on long-term survival.8–11 To determine the clinical significance of creatinine-based renal function, it is important to explore the possible intrinsic mechanism(s) underlying serial changes or fluctuations in the SCr concentration in HF patients. As yet, however, it remains unclear how SCr fluctuations are associated with change(s) in serum biochemical substances or plasma neurohormones under diuretic therapy in HF patients. Thus, the present study explored the association between changes in SCr concentrations with changes in serum solutes or plasma neurohormones after diuretic treatment in patients with acute HF.
Methods
Study Design
This study was a prospective single-center observational study that enrolled 31 consecutive patients with acute HF at Nishida Hospital (Saiki-city, Oita, Japan) who were undergoing a neurohormonal study between March 2017 and April 2018. A diagnosis of worsening of HF was established by standard clinical criteria of presentation, echocardiography, and serum B-type natriuretic peptide (BNP) concentrations.12 Additional routine tests included thoracic ultrasound to evaluate the presence of pleural effusion13 and monitoring changes in body weight during follow-up (HBF-352-W; Omron Healthcare, Kyoto, Japan).12 Worsening HF was treated by conventional therapy with a combination of loop diuretics, aldosterone blockade, thiazide diuretics, an oral vasopressin antagonist, acetazolamide, and/or inotropic drugs administered orally and/or intravenously in the hospital or outpatient clinic. Based on follow-up examinations, the response of worsening HF to treatment and the return of the clinical presentation to a stable HF status were determined.
Acute HF patients with cardiogenic shock, a clinical diagnosis of acute coronary syndrome, or known advanced renal disease (SCr >3.0 mg/dL) were excluded from the present study.
Data Collection and Analytic Methods
Physical examination, peripheral venous blood tests, and a spot urine test for electrolytes and creatinine were performed twice (i.e., during acute HF immediately before initiation of treatment and during stable HF after successful decongestion therapy). Blood and urine samples were obtained after patients had rested in a supine or semisupine position for 20 min. Peripheral blood tests, analyzed by standard techniques, included hemoglobin [Hb], hematocrit [Hct], serum electrolytes (sodium, potassium, and chloride), blood urea nitrogen, and creatinine. The spot urine test included measurement of electrolytes and creatinine concentrations, and osmolality. Plasma BNP was measured by chemiluminescent immunoassay. Plasma epinephrine and norepinephrine were measured by HPLC. Plasma renin activity (PRA) was measured by enzyme immunoassay. Plasma aldosterone and arginine vasopressin (AVP) concentrations were measured by radioimmunoassay. The eGFR was calculated according to the revised equations for estimating the glomerular filtration rate from SCr concentrations for the Japanese population.14 The Strauss formula was used to estimate the percentage change in plasma volume, as follows:15
% Change in plasma volume = ([(Hb1 / Hb2) × (100 − Hct2) / (100 − Hct1) − 1] × 100
where superscript 1 (Hb1, Hct1) indicates baseline values and superscript 2 (Hb2, Hct2) indicates end values. Urinary osmotic pressure was measured by the freezing point depression method using an OM-6060-type automatic osmotic pressure measuring device (Arkray, Kyoto, Japan).
Statistical Analysis
All continuous data are expressed as the mean±SD and all categorical data are presented as percentages. Paired and unpaired t-tests for continuous data were used for 2-group comparisons. Pearson’s correlation analysis was used to evaluate the linear association between 2 variables. Logistic regression analysis using the dichotomous dependent variables was used to determine the independent predictors of changes in SCr concentrations under recovery from worsening HF by selecting variables that demonstrated a significant linear association with changes in the SCr concentration and using iterative modeling procedures to arrive at the most efficient model. Odds ratio (ORs) and associated 95% confidence intervals (CIs) were estimated to determine the association between those variables and changes in the SCr concentration. Two-sided P<0.05 was considered statistically significant.
Results
Of the 31 acute HF patients, 5 were excluded from the present study because of a lack of clinical data for analysis due to cardiac death during follow-up (n=3) and insufficient data (n=2). The remaining 26 patients (50% men; mean age 81.2±12 years), including de novo acute HF patients (n=9), were enrolled in the present analysis.
The clinical characteristics of the study patients at the time of presentation with acute HF are given in Table 1. All study patients presented with 2–4 HF signs on the basis of physical examination and evaluation of potential pleural effusion by thoracic ultrasound. Serum BNP concentrations ware definitely elevated (≥500 pg/mL) in 18 patients, moderately elevated (between 200 and <500 pg/mL) in 6, and mildly elevated (between 100 and <200 pg/mL) in 2. Treatment for acute HF was performed in hospital for 21 patients, and at an outpatient clinic for 5 patients. Decongestion therapy for 25.2±17 days (range 7–78) days led to good responses in all study patients, resulting in the disappearance of at least 2 HF-related signs in each patient; minimal residual HF-related signs remained in only 5 patients (persistent basal rales in 3 and minimal pleural effusion in 2).
Table 1.
Clinical Characteristics of the Study Patients at Presentation of Worsening HF (n=26)
| Age (years) | |
| Mean±SD | 81.2±12 |
| Range | 53–97 |
| Male sex | 13 (50) |
| Primary cause of HF | |
| Hypertension | 18 (69) |
| Valvular | 4 (15) |
| Ischemic/cardiomyopathy | 3 (12) |
| Arrhythmia | 1 (4) |
| LVEF (%) | 46.8±18 |
| LVEF >50% | 14 (54) |
| AF | 13 (50) |
| NYHA FC at acute HF presentation | |
| III | 5 (19) |
| IV | 21 (81) |
| HF-related physical findings | |
| Bilateral leg edema around or above the ankle | 22 (85) |
| Bilateral pulmonary rales beyond the basal lung | 20 (77) |
| Pleural effusion on thoracic ultrasound | 23 (88) |
| Third heart sound (S3) | 5 (19) |
| No. HF signs | |
| Mean±SD | 2.69±0.62 |
| Range | 2–4 |
| BNP (pg/mL) | |
| ≥2,000 | 1 (4) |
| 1,000–2,000 | 5 (19) |
| 500–1,000 | 12 (46) |
| 200–500 | 6 (23) |
| 100–200 | 2 (8) |
Unless specified otherwise, data presented as the mean±SD or n (%). AF, atrial fibrillation; BNP, B-type natriuretic peptide; HF, heart failure; LVEF, left ventricular ejection fraction; NYHA FC, New York Heart Association functional class.
As indicated in Table 2, of the 26 patients with recovery from worsening HF, changes in SCr concentration were negatively correlated with changes in the serum chloride concentrations (Figure 1A) and positively correlated with changes in the serum blood urea nitrogen and plasma AVP levels (Figure 1B).
Table 2.
Pearson’s Correlation for Changes of SCr Concentration or Plasma Arginine Vasopressin With Changes in Different Variables After Decongestion Therapy for Worsening HF
| Variable | Changes in SCr | Changes in plasma AVP | ||
|---|---|---|---|---|
| R2 | P value | R2 | P value | |
| SBP (mmHg) | 0.007 | 0.67 | 0.0004 | 0.92 |
| DBP (mmHg) | 0.015 | 0.56 | 0.03 | 0.39 |
| Log[BNP] (pg/mL) | 0.13 | 0.07 | 0.15 | 0.049* |
| Hemoglobin (g/dL) | 0.007 | 0.68 | 0.05 | 0.26 |
| Hematocrit (%) | 0.027 | 0.42 | 0.019 | 0.5 |
| % Change in plasma volume | 0.04 | 0.31 | 0.018 | 0.51 |
| Serum total protein | 0.005 | 0.74 | 0.006 | 0.7 |
| Serum albumin | 0.014 | 0.57 | 0.014 | 0.34 |
| Serum electrolytes (mEq/L) | ||||
| Sodium | 0.09 | 0.13 | 0.16 | 0.044* |
| Potassium | 0.009 | 0.65 | 0.04 | 0.3 |
| Chloride | 0.17 | 0.04* | 0.22 | 0.015* |
| Serum BUN (mg/dL) | 0.3 | 0.004* | 0.62 | <0.0001* |
| SCr (mg/dL) | – | – | 0.33 | 0.002* |
| Serum uric acid (mg/dL) | 0.14 | 0.06 | 0.17 | 0.039* |
| Urinary concentrations (mEq/L) | ||||
| Sodium | 0.04 | 0.32 | 0.002 | 0.82 |
| Potassium | 0.02 | 0.58 | 0.042 | 0.31 |
| Chloride | 0.04 | 0.33 | 0.001 | 0.88 |
| Osmolality (mOsmol/kg H2O) | 0.018 | 0.51 | 0.007 | 0.67 |
| Epinephrine (pg/mL) | 0.016 | 0.54 | 0.04 | 0.33 |
| Norepinephrine (pg/mL) | 0.026 | 0.43 | 0.07 | 0.2 |
| PRA (ng/mL/h) | 0.024 | 0.45 | 0.11 | 0.11 |
| Aldosterone (pg/mL) | 0.001 | 0.86 | 0.0002 | 0.95 |
| AVP (pg/mL) | 0.33 | 0.002* | – | – |
*P<0.05. AVP, arginine vasopressin; BUN, blood urea nitrogen; DBP, diastolic blood pressure; PRA, plasma renin activity; SBP, systolic blood pressure; SCr, serum creatinine. Other abbreviations as in Table 1.
Figure 1.
Relationship between changes in serum creatinine concentration and (A) serum chloride concentration or (B) plasma arginine vasopressin under treatment for worsening heart failure.
Based on the median change in SCr concentrations, patients were divided into 2 groups: one with a high change in SCr (range 0.16–0.79 mg/dL; n=13) and the other with a low change in SCr (range −0.35 to 0.14 mg/dL; n=13). As indicated in Table 3, there were no differences in SCr concentration and eGFR at baseline between the low and high SCr change groups. Cardiovascular medication at stable HF status after decongestion therapy for acute HF also did not differ between the 2 groups. There was no change in plasma volume in either group, but plasma log[BNP] and norepinephrine concentrations decreased and PRA increased after decongestion therapy in both groups. Except for log[BNP], the changes in these variables did not differ between the 2 groups. However, changes in plasma AVP concentrations differed significantly different between 2 groups, decreasing in the low SCr change group, and increasing in the high SCr change group (−1.28±2.8 vs. 2.14±4.4 pg/mL, respectively; P=0.027).
Table 3.
Comparison of Laboratory Findings Between Groups With Low (Range −0.35 to 0.14 mg/dL) or High (Range 0.16 to 0.79 mg/dL) Changes in SCr Concentration After Diuretic Therapy
| Variables | All patients (n=26) |
Changes in SCr concentration | P value | |
|---|---|---|---|---|
| Low (n=13) | High (n=13) | |||
| Age (years) | 81.2±12 | 79.7±14 | 82.7±9.9 | 0.52 |
| Basal eGFR (mL/min/1.73 m2) | 45.5±19 | 47.7±23 | 43.4±14 | 0.58 |
| SCr (mg/dL) | ||||
| Worsening | 1.26±0.56 | 1.30±0.70 | 1.21±0.41 | 0.7 |
| Recovery | 1.43±0.6 | 1.28±0.69 | 1.58±0.47 | 0.2 |
| ΔWorsening to recovery | 0.17±0.27 | −0.03±0.16 | 0.36±0.21 | <0.0001* |
| P value | 0.004* | 0.57 | <0.0001* | |
| SBP (mmHg) | ||||
| Worsening | 135±34 | 130±29 | 141±39 | 0.41 |
| Recovery | 119±17 | 114±16 | 124±17 | 0.11 |
| ΔWorsening to recovery | −16±25 | −16.2±20 | −16.6±29 | 0.97 |
| P value | 0.002* | 0.014* | 0.06 | |
| DBP (mmHg) | ||||
| Worsening | 76.3±21 | 75.0±22 | 77.7±20 | 0.75 |
| Recovery | 66.1±12 | 62.1±14 | 70.1±7.2 | 0.09 |
| ΔWorsening to recovery | −10±20 | −12.8±18 | −7.62±21 | 0.5 |
| P value | 0.013* | 0.025* | 0.22 | |
| Serum log[BNP] (pg/mL) | ||||
| Worsening | 2.81±0.34 | 2.85±0.37 | 2.78±0.31 | 0.58 |
| Recovery | 2.25±0.31 | 2.16±0.32 | 2.34±0.28 | 0.14 |
| ΔWorsening to recovery | −0.56±0.32 | −0.69±0.32 | −0.43±0.27 | 0.04* |
| P value | <0.0001* | <0.0001* | <0.0001* | |
| Hemoglobin (g/dL) | ||||
| Worsening | 11.7±2.1 | 11.6±2.2 | 11.8±2.0 | 0.79 |
| Recovery | 12.0±2.5 | 11.9±2.9 | 12.1±2.0 | 0.87 |
| ΔWorsening to recovery | 0.28±1.3 | 0.31±1.49 | 0.25±1.1 | 0.92 |
| P value | 0.28 | 0.47 | 0.42 | |
| Hematocrit (%) | ||||
| Worsening | 35.4±6.0 | 34.5±6.4 | 36.3±5.6 | 0.44 |
| Recovery | 35.9±6.9 | 35.3±8.2 | 36.5±5.5 | 0.65 |
| ΔWorsening to recovery | 0.53±3.8 | 0.82±4.2 | 0.25±3.6 | 0.71 |
| P value | 0.48 | 0.49 | 0.81 | |
| ΔChange in % plasma volume | −0.20±6.3 | −0.65±6.5 | 0.26±6.4 | 0.72 |
| Serum total protein (g/dL) | ||||
| Worsening | 6.41±0.51 | 6.23±0.40 | 6.59±0.55 | 0.07 |
| Recovery | 6.61±0.73 | 6.49±0.89 | 6.72±0.54 | 0.43 |
| ΔWorsening to recovery | 0.20±0.63 | 0.26±0.70 | 0.13±0.56 | 0.6 |
| P value | 0.12 | 0.21 | 0.41 | |
| Serum albumin (g/dL) | ||||
| Worsening | 3.63±0.42 | 3.49±0.40 | 3.78±0.40 | 0.08 |
| Recovery | 3.58±0.47 | 3.53±0.59 | 3.63±0.33 | 0.59 |
| ΔWorsening to recovery | −0.05±0.48 | 0.04±0.51 | −0.15±0.45 | 0.34 |
| P value | 0.57 | 0.79 | 0.26 | |
| Serum sodium (mEq/L) | ||||
| Worsening | 139±5.1 | 137±5.8 | 141±3.5 | 0.06 |
| Recovery | 139±4.7 | 138±3.2 | 140±3.5 | 0.46 |
| ΔWorsening to recovery | 0.19±4.7 | 1.38±3.6 | −1.00±4.7 | 0.16 |
| P value | 0.82 | 0.19 | 0.46 | |
| Serum potassium (mEq/L) | ||||
| Worsening | 4.27±0.68 | 4.19±0.74 | 4.35±0.64 | 0.56 |
| Recovery | 4.12±0.51 | 4.00±0.57 | 4.23±0.44 | 0.26 |
| ΔWorsening to recovery | −0.15±0.73 | −0.19±0.82 | −0.12±0.66 | 0.81 |
| P value | 0.28 | 0.42 | 0.51 | |
| Serum chloride (mEq/L) | ||||
| Worsening | 104±5.8 | 103±6.1 | 104±5.5 | 0.51 |
| Recovery | 104±5.8 | 106±3.9 | 103±7.2 | 0.26 |
| ΔWorsening to recovery | 0.54±7.2 | 2.62±7.0 | −1.54±7.1 | 0.15 |
| P value | 0.71 | 0.2 | 0.45 | |
| BUN (mg/dL) | ||||
| Worsening | 26.6±11 | 26.2±12 | 26.9±12 | 0.87 |
| Recovery | 38.6±20 | 31.2±13 | 46.0±23 | 0.05* |
| ΔWorsening to recovery | 12.0±17 | 5.00±8.9 | 19.1±20 | 0.027* |
| P value | 0.001* | 0.07 | 0.004* | |
| Serum uric acid (mg/dL) | ||||
| Worsening | 6.38±2.4 | 6.30±2.8 | 6.45±2.0 | 0.87 |
| Recovery | 7.43±2.1 | 7.25±1.6 | 7.62±2.6 | 0.67 |
| ΔWorsening to recovery | 1.05±2.2 | 0.95±2.4 | 1.16±2.1 | 0.81 |
| P value | 0.023* | 0.18 | 0.07 | |
| Epinephrine (pg/mL) | ||||
| Worsening | 0.085±0.08 | 0.079±0.05 | 0.091±0.10 | 0.69 |
| Recovery | 0.048±0.05 | 0.046±0.04 | 0.050±0.05 | 0.84 |
| ΔWorsening to recovery | −0.04±0.06 | −0.03±0.05 | −0.04±0.07 | 0.74 |
| P value | 0.005* | 0.03* | 0.068 | |
| Norepinephrine (pg/mL) | ||||
| Worsening | 0.96±0.63 | 0.86±0.61 | 1.05±0.66 | 0.45 |
| Recovery | 0.52±0.33 | 0.41±0.19 | 0.64±0.39 | 0.07 |
| ΔWorsening to recovery | −0.44±0.6 | −0.45±0.54 | −0.41±0.67 | 0.86 |
| P value | 0.001* | 0.01* | 0.047* | |
| PRA (ng/mL/h) | ||||
| Worsening | 1.64±2.0 | 2.10±2.4 | 1.18±1.4 | 0.25 |
| Recovery | 5.48±6.1 | 4.66±5.3 | 6.30±6.9 | 0.5 |
| ΔWorsening to recovery | 3.84±5.6 | 2.55±3.9 | 5.12±6.9 | 0.25 |
| P value | 0.0018* | 0.035* | 0.02* | |
| Aldosterone (pg/mL) | ||||
| Worsening | 117±90 | 114±102 | 120±81.4 | 0.88 |
| Recovery | 209±257 | 158±114 | 260±346 | 0.32 |
| ΔWorsening to recovery | 92.1±215 | 43.8±110 | 140±282 | 0.26 |
| P value | 0.039* | 0.18 | 0.1 | |
| Vasopressin (pg/mL) | ||||
| Worsening | 3.54±3.4 | 3.28±2.4 | 3.80±4.3 | 0.71 |
| Recovery | 3.97±6.1 | 2.00±1.6 | 5.94±8.2 | 0.1 |
| ΔWorsening to recovery | 0.43±4.0 | −1.28±2.8 | 2.14±4.4 | 0.027* |
| P value | 0.59 | 0.12 | 0.1 | |
| Urine osmolality (mOsmol/kg H2O) | ||||
| Worsening | 473±184 | 482±214 | 463±156 | 0.8 |
| Recovery | 452±155 | 456±163 | 449±153 | 0.91 |
| ΔWorsening to recovery | −20.3±163 | −26.3±188 | −14.4±141 | 0.86 |
| P value | 0.53 | 0.62 | 0.72 | |
| Medication use when status stable after decongestion therapy for acute HF | ||||
| Loop diuretics | 22 (85) | 11 (85) | 11 (85) | 1 |
| Thiazide diuretics | 4 (15) | 1 (8) | 3 (23) | 0.59 |
| MRA | 22 (85) | 9 (69) | 13 (100) | 0.1 |
| Tolvaptan | 6 (23) | 2 (15) | 4 (30) | 0.64 |
| Acetazolamide | 17 (65) | 9 (69) | 8 (60) | 1 |
| ACEI/ARB | 10 (38) | 6 (46) | 4 (30) | 0.69 |
| β-blockers | 12 (46) | 4 (30) | 8 (60) | 0.24 |
| Calcium antagonists | 10 (38) | 5 (38) | 5 (38) | 1 |
*P<0.05. Unless specified otherwise, data are presented as the mean±SD or as n (%). ACEI, angiotensin-converting enzyme inhibitor; ARB, angiotensin II receptor blocker; eGFR, estimated glomerular filtration rate; MRA, mineralocorticoid receptor antagonist. Other abbreviations as in Tables 1,2.
Multivariate logistic regression analysis (Table 4) showed a tendency towards an independent association between an increase in the SCr concentration and an increase or no change in the plasma AVP concentrations after decongestion therapy (OR 4.44; 95% CI 0.81–24.3; P=0.086).
Table 4.
Multivariate Predictors of Changes in SCr Concentration Under Decongestion Therapy
| Change after treatment | Changes in SCr after decongestion treatment | ||||
|---|---|---|---|---|---|
| Low group (n=13) | High group (n=13) | Wald χ2 | OR (95% CI) | P value | |
| Serum chloride | |||||
| Increase/no change | 8 | 5 | 0.61 | 0.51 (0.09–2.79) | 0.4 |
| Decrease | 5 | 8 | |||
| Antidiuretic hormone | |||||
| Increase/no change | 4 | 9 | 2.95 | 4.44 (0.81–24.3) | 0.086 |
| Decrease | 9 | 4 | |||
| Blood urea nitrogen | |||||
| Increase/no change | 10 | 12 | 0.08 | 1.35 (0.16–11.8) | 0.78 |
| Decrease | 3 | 2 | |||
Based on the median change in serum creatinine (SCr) concentrations, patients were divided into 2 groups: one with a high change in SCr (range 0.16–0.79 mg/dL) and the other with a low change in SCr (range −0.35 to 0.14 mg/dL). CI, confidence interval; OR, odds ratio.
As indicated in Table 2, among the 26 patients with recovery from worsening HF, changes in plasma AVP concentrations were positively correlated with changes in plasma log[BNP] (Figure 2A) and kidney-related solutes (i.e., blood urea nitrogen [Figure 2D], SCr [Figure 2E], and serum uric acid [Figure 2F]), and negatively correlated with changes in serum sodium (Figure 2B) and chloride (Figure 2C) concentrations.
Figure 2.
Relationship between changes in plasma arginine vasopressin concentrations and changes in (A) plasma log B-type natriuretic peptide (BNP), (B) serum sodium, (C) serum chloride, (D) blood urea nitrogen, (E) serum creatinine, and (F) serum uric acid concentrations.
Discussion
Interpretation of the Present Study
SCr concentrations could be affected by changes in handling and metabolism, such as creatinine production in the muscle and diffusion into the plasma, excretion of plasma creatinine by glomerular filtration and/or tubular excretion into the urine, and tubular reabsorption of urinary creatinine.16–19 More importantly, SCr fluctuations could be significantly affected by body fluid status rather than intrinsic kidney injury during the clinical course of HF.20,21 To date, however, limited clinical data are available regarding the association between serial changes in SCr with regulatory neurohormonal agent(s) and their role in regulating body fluid status under decongestion therapy for HF patients. The present study revealed an important role for AVP as a possible determinant of SCr changes or fluctuations in individual HF patients under decongestion therapy.
Previous Studies on Creatinine-Based Renal Function in Cardiorenal Syndrome
The pathophysiology of renal dysfunction under HF status is multifactorial and associated with decreased renal perfusion,22–24 venous congestion,22,24–27 higher renal interstitial pressure,28 atherosclerosis and inflammation, endothelial dysfunction, and neurohormonal activation.1,3,29 Decongestion therapy for worsening HF patients may resolve congestion but worsen renal function by excessive diuretic-related hypovolemia8,10,30,31 and/or a drop in blood pressure5,6,32–34 accompanied by enhanced activation of the sympathetic and renin-angiotensin-aldosterone systems, leading to Type 1 cardiorenal syndrome.2,3,31,35 As to creatinine-based worsening renal function induced by decongestion therapy, of particular interest is a report by Metra et al,9 who demonstrated that worsening renal function under decongestion therapy was not associated with worse outcomes, but that worsening renal function in the context of persistent congestion was an independent predictor of post-discharge morbidity and mortality. Subsequently, achieving individualized optimal plasma volume and resolution of congestion, despite the occurrence of creatinine-based worsening renal function, are the 2 main purposes of diuretic therapy for controlling HF.8,36,37
Previous Studies on AVP Activity in HF Pathophysiology
The antidiuretic hormone AVP is a potentially important neurohormone in HF pathophysiology for the regulation of body fluid status. This hormone affects free water reabsorption in the kidney, body fluid osmolality, blood volume, vasoconstriction, and myocardial contractile function.38 The dominant stimulus for AVP secretion is serum osmolality, but non-osmotic factors (e.g., cardiac filling pressure, arterial pressure, and the effects of adrenergic stimuli and angiotensin II in the central nervous system) can modulate the osmotic control of AVP to varying degrees.39 However, in the present study, changes in plasma AVP activity were not correlated with changes in the plasma neurohormonal activity after decongestion therapy for acute HF patients (Table 2).
Lanfear et al40 reported that an elevated AVP concentration in patients hospitalized for worsening chronic systolic HF was independently associated with longer-term outcomes, including death. In the clinical setting, AVP activity is ordinarily elevated in HF patients compared with normal subjects.41–44 However, there are some controversies regarding the correlation between AVP activity and hemodynamic parameters, with some studies reporting a positive association with right-sided cardiac pressure,42 a significant correlation between baseline AVP concentrations and an increase in systemic vascular resistance after vasopressin antagonist infusion,45 a weak association with differences in the left ventricular ejection fraction,41 and an unclear association between AVP activity and hemodynamic parameters.43 Interestingly, Imamura et al44 reported a definite association between elevated AVP concentrations and advanced HF patients with low cardiac output, and a reversal of this association following an improvement in cardiac function with surgical treatment.
With regard to the correlation between AVP activity and serum sodium concentrations, 1 study did not demonstrate a significant association between them,43 although many other studies have confirmed AVP elevation in HF patients with hyponatremia.44–47 A positive association between AVP concentrations and PRA was reported by Goldsmith et al,43 but not by Creager et al.45 There is a scant clinical data on the association between changes in SCr and AVP activity under resolution of worsening HF after decongestion treatment.
Association Between SCr Fluctuations and AVP Activity in HF Pathophysiology
Serial SCr changes or fluctuations ordinarily occur during the clinical course of HF, and often seem to be associated with changes in body fluid status,20,21 possibly due to the effects primarily of dietary fluid intake and the use of diuretics. As mentioned above, the antidiuretic hormone AVP is significantly associated with HF pathophysiology, but its association with serial changes in SCr under decongestion treatment has not been well evaluated. The present study demonstrated the possible underlying neurohormonal circumstances for fluctuations in SCr concentrations during the clinical course of HF, during which an as yet unknown, but potentially causal, relationship may exist among changes in SCr, AVP secretion, and body fluid status in individual HF patients, as hypothesized below.
As shown in the present study, plasma AVP concentrations were inversely correlated with changes in serum sodium and chloride concentrations (Table 2; Figure 2B,C). Conversely, changes in plasma AVP concentrations were positively correlated with the change in the SCr concentration under sufficient diuresis following diuretic use (Table 2; Figures 1B,2E). Considering these facts together, it is conceivable that, under HF pathophysiology, a change to a low (or high) serum sodium or chloride concentration after decongestion treatment would be accompanied by paradoxically high (or low) AVP secretion (Figure 2B,C), thus favoring more water absorption (excretion), despite presumed low (high) serum osmolality due to a decrease (increase) in sodium and chloride electrolytes. Under the conditions of forced diuresis by the use of medical diuretics, such antidiuretic actions of high (or low) AVP may be insufficient or maladapted to ensure lowering (enhancing) of the SCr concentration (Figure 2E) via a hemodilution (or concentration) mechanism, probably owing to inadequate water absorption (excretion) in the urinary tubules. As such, many episodes of creatinine-based worsening renal function under diuretic treatment would reflect hemodynamic or functional changes in glomerular filtration (pseudo-worsening renal function).48 Therefore, changes in SCr would not be an appropriate measure for determining intrinsic renal injury in HF patients. Other biomarkers are more suitable for identifying intrinsic kidney injury in HF patients under decongestion therapy.49 The concept described above is hypothetical, and further detailed studies are required to precisely assess the interactions among changes in SCr, AVP secretion, and body fluid status in HF pathophysiology.
Study Limitations
This study is a cross-sectional observational study and should be considered as hypothesis generating, and to have some limitations. The present study was performed on a population of patients with mild-to-moderate HF. Therefore, the findings of the present study cannot be generalized to patients with more advanced HF. Further, this study was a small-sized retrospective observational study with a selection bias due to data availability. Thus, studies including a larger number of HF patients are needed to better assess the association of changes in SCr concentrations with changes in serum solutes or plasma neurohormones in HF patients.
Conclusions
The antidiuretic hormone AVP appears to be a physiologically important mediator of serial SCr changes or fluctuations under decongestion therapy in HF patients.
Sources of Funding
This work did not receive any external funding.
Disclosures
The author has no conflicts of interest to declare.
IRB Information
The Research Ethics Committee of Nishida Hospital approved the study protocol (Reference no. 201710-01). This study was performed in accordance with the Declaration of Helsinki. The study involved only diagnostic standard data and thus individual consent for inclusion was waived, but an oral explanation of the need for blood and hormone tests was provided.
Acknowledgments
None.
Data Availability
The deidentified participant data will not be shared.
References
- 1. Sinkeler SJ, Damman K, van Veldhuisen DJ, Hillege H, Navis G.. A re-appraisal of volume status and renal function impairment in chronic heart failure: Combined effects of pre-renal failure and venous congestion on renal function. Heart Fail Rev 2012; 17: 263–270. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Ronco C, Cicoira M, McCullough PA.. Cardiorenal syndrome type 1: Pathophysiological crosstalk leading to combined heart and kidney dysfunction in the setting of acute decompensated heart failure. J Am Coll Cardiol 2012; 60: 1031–1042. [DOI] [PubMed] [Google Scholar]
- 3. Mullens W, Damman K, Testani JM, Martens P, Mueller C, Lassus J, et al.. Evaluation of kidney function throughout the heart failure trajectory: A position statement from the Heart Failure Association of the European Society of Cardiology. Eur J Heart Fail 2020; 22: 584–603. [DOI] [PubMed] [Google Scholar]
- 4. Smith GL, Lichtman JH, Bracken MB, Shlipak MG, Phillips CO, DiCapua P, et al.. Renal impairment and outcomes in heart failure: Systematic review and meta-analysis. J Am Coll Cardiol 2006; 47: 1987–1996. [DOI] [PubMed] [Google Scholar]
- 5. Voors AA, Davison BA, Felker GM, Ponikowski P, Unemori E, Cotter G, et al.. Early drop in systolic blood pressure and worsening renal function in acute heart failure: Renal results of Pre-RELAX-AHF. Eur J Heart Fail 2011; 13: 961–967. [DOI] [PubMed] [Google Scholar]
- 6. Blair JEA, Pang PS, Schrier RW, Metra M, Traver B, Cook T, et al.. Changes in renal function during hospitalization and soon after discharge in patients admitted for worsening heart failure in the placebo group of the EVEREST trial. Eur Heart J 2011; 32: 2563–2572. [DOI] [PubMed] [Google Scholar]
- 7. Damman K, Valente MA, Voors AA, O’Connor CM, Van Veldhuisen DJ, Hillege HL.. Renal impairment, worsening renal function, and outcome in patients with heart failure: An updated meta-analysis. Eur Heart J 2014; 35: 455–469. [DOI] [PubMed] [Google Scholar]
- 8. Testani JM, Chen J, McCauley BD, Kimmel SE, Shannon RP.. Potential effects of aggressive decongestion during the treatment of decompensated heart failure on renal function and survival. Circulation 2010; 122: 265–272. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Metra M, Davison B, Bettari L, Sun H, Edwards C, Lazzarini V, et al.. Is worsening renal function an ominous prognostic sign in patients with acute heart failure?: The role of congestion and its interaction with renal function. Circ Heart Fail 2012; 5: 54–62. [DOI] [PubMed] [Google Scholar]
- 10. van der Meer P, Postmus D, Ponikowski P, Cleland JG, O’Connor CM, Cotter G, et al.. The predictive value of short-term changes in hemoglobin concentration in patients presenting with acute decompensated heart failure. J Am Coll Cardiol 2013; 61: 1973–1981. [DOI] [PubMed] [Google Scholar]
- 11. Beldhuis IE, Streng KW, van der Meer P, ter Maaten JM, O’Connor CM, Metra M, et al.. Trajectories of changes in renal function in patients with acute heart failure. J Card Fail 2019; 25: 866–874. [DOI] [PubMed] [Google Scholar]
- 12. Kataoka H.. Clinical significance of bilateral leg edema and added value of monitoring weight gain during follow-up of patients with established heart failure. ESC Heart Fail 2015; 2: 106–115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Kataoka H, Takada S.. The role of thoracic ultrasonography for evaluation of patients with decompensated chronic heart failure. J Am Coll Cardiol 2000; 35: 1638–1646. [DOI] [PubMed] [Google Scholar]
- 14. Matsuo S, Imai E, Horio M, Yasuda Y, Tomita K, Nitta K, et al.. Revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis 2009; 53: 982–992. [DOI] [PubMed] [Google Scholar]
- 15. Kalra PR, Anagnostopoulos C, Bolger AP, Coats AJS, Anker SD.. The regulation and measurement of plasma volume in heart failure. J Am Coll Cardiol 2002; 39: 1901–1908. [DOI] [PubMed] [Google Scholar]
- 16. Perrone RD, Madias NE, Levey AS.. Serum creatinine as an index of renal function: New insights into old concepts. Clin Chem 1992; 38: 1933–1953. [PubMed] [Google Scholar]
- 17. Schrier RW.. Blood urea nitrogen and serum creatinine: Not married in heart failure. Circ Heart Fail 2008; 1: 2–5. [DOI] [PubMed] [Google Scholar]
- 18. Waikar SS, Bonventre JV.. Creatinine kinetics and the definition of acute kidney injury. J Am Soc Nephrol 2009; 20: 672–679. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Iwasaki K, Seguchi O, Murata S, Nishimura K, Yoshitake K, Yagi N, et al.. Effect of the creatinine excretion rate index, a marker of sarcopenia, on prediction of intracranial hemorrhage in patients with advanced heart failure and a continuous-flow left ventricular assist device. Circ J 2020; 84: 949–957. [DOI] [PubMed] [Google Scholar]
- 20. Kataoka H.. Short-term dynamic changes in hematologic and biochemical tests during follow-up of definite heart failure patients. Int J Cardiol 2010; 144: 441–444. [DOI] [PubMed] [Google Scholar]
- 21. Kataoka H.. Phenomenon of paradoxical improvement in renal function defined by a decreased concentration of serum creatinine despite heart failure worsening. Int J Cardiol 2014; 176: 1392–1395. [DOI] [PubMed] [Google Scholar]
- 22. Merrill AJ.. Edema and decreased renal blood flow in patients with chronic congestive heart failure: Evidence of “forward failure” as the primary cause of edema. J Clin Invest 1946; 25: 389–400. [PubMed] [Google Scholar]
- 23. Ljungman S, Laragh JH, Cody RJ.. Role of the kidney in congestive heart failure: Relationship of cardiac index to kidney function. Drugs 1990; 39(Suppl 4): 10–21. [DOI] [PubMed] [Google Scholar]
- 24. Damman K, Navis G, Smilde TDJ, Voors AA, van der Bij W, van Veldhuisen DJ, et al.. Decreased cardiac output, venous congestion and the association with renal impairment in patients with cardiac dysfunction. Eur J Heart Fail 2007; 9: 872–878. [DOI] [PubMed] [Google Scholar]
- 25. Maxwell MH, Breed ES, Schwartz IL.. Renal venous pressure in chronic congestive heart failure. J Clin Invest 1950; 29: 342–348. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Firth JD, Raine AEG, Ledingham JGG.. Raised venous pressure: A direct cause of renal sodium retention in oedema? Lancet 1988; 1: 1033–1036. [DOI] [PubMed] [Google Scholar]
- 27. Mullens W, Abrahams Z, Francis GS, Sokos G, Taylor DO, Starling RC, et al.. Importance of venous congestion for worsening of renal function in advanced decompensated heart failure. J Am Coll Cardiol 2009; 53: 589–596. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Burnett JC Jr, Knox FG.. Renal interstitial pressure and sodium excretion during renal vein constriction. Am J Physiol 1980; 238: F279–F282. [DOI] [PubMed] [Google Scholar]
- 29. Hillege HL, Girbes ARJ, de Kam PJ, Boomsma F, de Zeeuw D, Charlesworth A, et al.. Renal function, neurohormonal activation, and survival in patients with chronic heart failure. Circulation 2000; 102: 203–210. [DOI] [PubMed] [Google Scholar]
- 30. Marenzi G, Grazi S, Giraldi F, Lauri G, Perego G, Guazzi M, et al.. Interrelation of humoral factors, hemodynamics, and fluid and salt metabolism in congestive heart failure: Effects of extracorporeal ultrafiltration. Am J Med 1993; 94: 49–56. [DOI] [PubMed] [Google Scholar]
- 31. Galve E, Mallol A, Catalan R, Palet J, Méndez S, Nieto E, et al.. Clinical and neurohumoral consequences of diuretic withdrawal in patients with chronic, stabilized heart failure and systolic dysfunction. Eur J Heart Fail 2005; 7: 892–898. [DOI] [PubMed] [Google Scholar]
- 32. Testani JM, Coca SG, McCauley BD, Shannon RP, Kimmel SE.. Impact of changes in blood pressure during the treatment of acute decompensated heart failure on renal and clinical outcomes. Eur J Heart Fail 2011; 13: 877–884. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Dupont M, Mullens W, Finucan M, Taylor DO, Starling RC, Tang WHW.. Determinants of dynamic changes in serum creatinine in acute decompensated heart failure: The importance of blood pressure reduction during treatment. Eur J Heart Fail 2013; 15: 433–440. [DOI] [PubMed] [Google Scholar]
- 34. Aronson D, Abassi Z, Allon E, Burger AJ.. Fluid loss, venous congestion, and worsening renal function in acute decompensated heart failure. Eur J Heart Fail 2013; 15: 637–643. [DOI] [PubMed] [Google Scholar]
- 35. Chiong JR, Cheung RJ.. Loop diuretic therapy in heart failure: The need for solid evidence on a fluid issue. Clin Cardiol 2010; 33: 345–352. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Testani JM, Brisco MA, Chen J, McCauley BD, Parikh CR, Tang WH.. Timing of hemoconcentration during treatment of acute decompensated heart failure and subsequent survival: Importance of sustained decongestion. J Am Coll Cardiol 2013; 62: 516–524. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Breidthardt T, Weidmann ZM, Twerenbold R, Gantenbein C, Stallone F, Rentsch K, et al.. Impact of haemoconcentration during acute heart failure therapy on mortality and its relationship with worsening renal function. Eur J Heart Fail 2017; 19: 226–236. [DOI] [PubMed] [Google Scholar]
- 38. Thibonnier M.. Vasopressin receptor antagonists in heart failure. Curr Opin Pharmacol 2003; 3: 683–687. [DOI] [PubMed] [Google Scholar]
- 39. Schrier RW, Berl T, Anderson RJ.. Osmotic and nonosmotic control of vasopressin release. Am J Physiol 1979; 236: F321–F332. [DOI] [PubMed] [Google Scholar]
- 40. Lanfear DE, Sabbah HN, Goldsmith SR, Greene SJ, Ambrosy AP, Fought AJ, et al.. Association of arginine vasopressin levels with outcomes and the effect of V2 blockade in patients hospitalized for heart failure with reduced ejection fraction: Insights from the EVEREST trial. Circ Heart Fail 2013; 6: 47–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Benedict CR, Johnstone DE, Weiner DH, Bourassa MG, Bittner V, Kay R, et al.. Relation of neurohumoral activation to clinical variables and degree of ventricular dysfunction: A report from the Registry of Studies of Left Ventricular Dysfunction. J Am Coll Cardiol 1994; 23: 1410–1420. [DOI] [PubMed] [Google Scholar]
- 42. Yamane Y.. Plasma ADH level in patients with chronic congestive heart failure. Jpn Circ J 1968; 32: 745–759. [DOI] [PubMed] [Google Scholar]
- 43. Goldsmith SR, Francis GS, Cowley AW, Levine TB, Cohn JN.. Increased plasma arginine vasopressin levels in patients with congestive heart failure. J Am Coll Cardiol 1983; 1: 1385–1390. [DOI] [PubMed] [Google Scholar]
- 44. Imamura T, Kinugawa K, Hatano M, Fujino T, Inaba T, Maki H, et al.. Low cardiac output stimulates vasopressin release in patients with stage D heart failure: Its relevance to poor prognosis and reversal by surgical treatment. Circ J 2014; 78: 2259–2267. [DOI] [PubMed] [Google Scholar]
- 45. Creager MA, Faxon DP, Cutler SS, Kohlmann O, Ryan TJ, Gavras H.. Contribution of vasopressin to vasoconstriction in patients with congestive heart failure: Comparison with the renin-angiotensin system and the sympathetic nervous system. J Am Coll Cardiol 1986; 7: 758–765. [DOI] [PubMed] [Google Scholar]
- 46. Szatalowicz VL, Arnold PE, Chaimovitz C, Bichet D, Berl T, Schrier RW.. Radioimmunoassay of plasma arginine vasopressin in hyponatremic patients with congestive heart failure. N Engl J Med 1981; 305: 263–266. [DOI] [PubMed] [Google Scholar]
- 47. Riegger GAL, Liebau G, Koschsiek K.. Antidiuretic hormone in congestive heart failure. Am J Med 1982; 72: 49–52. [DOI] [PubMed] [Google Scholar]
- 48. Ahmad T, Jackson K, Rao VS, Tang WH, Brisco-Bacik MA, Chen HH, et al.. Worsening renal function in patients with acute heart failure undergoing aggressive diuresis is not associated with tubular injury. Circulation 2018; 137: 2016–2028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Damman K, Masson S, Hillege HL, Voors AA, van Veldhuisen DJ, Rossignol P, et al.. Tubular damage and worsening renal function in chronic heart failure. JACC Heart Fail 2013; 14: 417–424. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The deidentified participant data will not be shared.


