Literature DB >> 34520113

Haemodynamic parameters associated with renal function prior to and following heart transplantation.

Guillaume Baudry1,2, Laurent Sebbag1, Juliette Bourdin1, Elisabeth Hugon-Vallet1, Antoine Jobbe Duval1, Nathan Mewton3, Matteo Pozzi4, Patrick Rossignol2, Nicolas Girerd2.   

Abstract

AIMS: Abnormal renal function is a common feature in patients on heart transplant waiting lists. This study aimed to identify the haemodynamic parameters associated with decreased estimated glomerular filtration rate (eGFR) in patients listed for heart transplantation (HT) and renal function improvement following HT. METHODS AND
RESULTS: A total of 176 adults (52 years old, 81% men) with available right heart catheterization (RHC) listed in our centre for HT between 2014 and 2019 were studied. Cardiac catheterization measurements were obtained at time of HT listing evaluation. Changes in renal function were assessed between RHC and 6 months after HT. Median eGFR was 63 mL/min/1.73 m2 at time of RHC. Central venous pressure > 10 mmHg was associated with a two-fold increase in the likelihood of eGFR < 60 mL/min/1.73 m2 at time of RHC (adjusted odd ratio, 2.2; 95% confidence interval, 1.1-4.7; P = 0.04). In the 134 patients (76%) who underwent HT during follow-up, eGFR decreased by 7.9 ± 29.7 mL/min/1.73 m2 from RHC to 6 months after HT. In these patients, low cardiac index (<2.1 L/min/m2 ) at initial RHC was associated with a (adjusted) 6 month post-HT eGFR improvement of 12.2 mL/min/1.73 m2 (P = 0.018). Patients with eGFR < 60 mL/min/1.73 m2 and low cardiac index at time of RHC exhibited the greatest eGFR improvement (delta eGFR = 18.3 mL/min/1.73 m2 ) while patients with eGFR ≥ 60 mL/min/1.73 m2 and normal cardiac index had a marked decrease in eGFR (delta eGFR = -27.7 mL/min/1.73 m2 , P < 0.001).
CONCLUSIONS: Central venous pressure is the main haemodynamic parameter associated with eGFR < 60 mL/min/1.73 m2 in patients listed for HT. Low cardiac index prior to HT is associated with post-transplant renal function recovery.
© 2021 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.

Entities:  

Keywords:  Cardiac index; Cardiac oedema; Cardiorenal syndrome; Cardiovascular diseases; Heart failure; Heart transplantation; Renal function

Mesh:

Year:  2021        PMID: 34520113      PMCID: PMC8712911          DOI: 10.1002/ehf2.13534

Source DB:  PubMed          Journal:  ESC Heart Fail        ISSN: 2055-5822


Introduction

Cardiorenal syndrome is a well‐known phenomenon in acute and chronic settings leading to high morbidity and mortality in heart failure (HF) patients. , Glomerular filtration rate (GFR) below 60 mL/min/1.73 m2 is observed in 30–50% of patients with HF. , The pathophysiology of renal impairment in the setting of HF reportedly includes age, underlying co‐morbidities (especially hypertension and diabetes), and also specific HF factors such as reduced renal blood flow, ncreased central venous pressure (CVP), and reduced systemic blood pressure. Central venous pressure has been deemed to be an independent key factor associated with impaired renal function in patients with a wide range of heart diseases and especially HF. , , Surprisingly, low cardiac index, which has initially been emphasized as a central driver of cardiorenal interactions, does not appear to be strongly associated with renal function , especially when competing with other haemodynamic variables. Similarly, some uncertainty remains regarding the impact of low blood pressure on renal function. Advanced HF is the end‐stage of all cardiomyopathies and is characterized by the severity of the symptoms becoming refractory to medical treatment. , In this advanced setting, episodes of low output and congestion are frequent, the latter of which can trigger organ dysfunction, including worsening renal function. The prevalence of estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2 in advanced HF patients awaiting transplantation is considerably high when considering the relatively young age of these patients compared with the general HF population. Accordingly, between 2000 and 2017, 43% of heart transplant recipients in the USA had an eGFR < 60 mL/min/1.73 m2 at transplant listing. Because a chronically low cardiac index is a predominant feature in patients with advanced HF, this trait may be increasingly associated with renal dysfunction in this particular population as opposed to previous reports in which haemodynamic studies were primarily performed in less severely ill populations. Renal function frequently drops during the first year after heart transplantation (HT), particularly in patients with prior renal dysfunction, co‐morbidities (age and diabetes), and receiving high‐dose cyclosporine. , International HT guidelines consider reduced eGFR < 40 mL/min/1.73 m2 as a relative contraindication for HT alone. However, renal dysfunction in this advanced HF setting can be partially reversible possibly due to the normalization of haemodynamics following cardiac transplantation. Notwithstanding, the association of haemodynamic parameters with renal function prior to cardiac transplantation as well as with changes in post‐transplant renal function remains poorly characterized. The co‐primary objectives of the present study were (i) to assess the haemodynamic parameters associated with renal dysfunction in patients with advanced HF listed for HT and (ii) to determine whether pre‐transplant haemodynamic features are related to renal function recovery following HT.

Methods

Study population

This study consisted of a single‐centre cohort analysis using the French national CRISTAL database. The 201 newly registered adult patients (18 years or older) entered on the French national waiting list for HT between 1 January 2014 and 31 December 2019 in our heart transplant centre were included. Twenty‐five patients without right heart catheterization were excluded from the analysis. Overall, 134 patients (76%) ultimately underwent HT. The data of 99 patients who survived the HT process were included in the analysis of eGFR change at 6 months. Among them, two patients were on dialysis at 6 months, and an arbitrary value of 15 mL/min/1.73 m2 of eGFR was used in the analysis of eGFR changes.

Pulmonary artery catheterization

Cardiac catheterization measurements were obtained at the time of assessment for HT listing. The most recent catheterization was selected in those having undergone multiple exams before their listing. Serum creatinine was obtained within 24 h prior to right heart catheterization. Haemodynamic variables obtained during catheterization included systolic blood pressure (mmHg), diastolic blood pressure (mmHg), cardiac output (L/min), pulmonary capillary wedge pressure (mmHg), mean pulmonary arterial pressure (mmHg), and right atrial pressure as an indicator of CVP (mmHg). Cardiac index (L/min/m2) was determined as cardiac output divided by body surface area, which was calculated using the Boyd formula (BSA = 0.03330 × W(0.6157 − 0.0188 × log10(W)) × H(0.3)).

Data collection and variables

This single‐centre study was performed using the data of the French national registry (CRISTAL). The registry is administered by the Agence de la biomédecine and prospectively collects data on all organ transplant candidates in France along with their outcomes. A description of the CRISTAL registry has previously been published. Selected data included the candidate's demographics, primary diagnosis, clinical status, device therapy, short‐term and long‐term mechanical circulatory support, and laboratory parameters at transplantation. Data at time of heart catheterization and at 6 months after HT were collected retrospectively. GFR was estimated using the Modification of Diet in Renal Disease (MDRD) formula (186.3 * (creatinine in μmol/L/88.4)−1.154 * Age−0.203 (* 0.742 for female patients)). The study was conducted according to French legislation stipulating that anonymized research studies based on the national CRISTAL registry do not require institutional review board approval.

Statistical analysis

All analyses were performed using SPSS Version 27 (IBM SPSS Statistics for Windows, NY: IBM Corp). Continuous variables are expressed as medians with interquartile 25–75% (IQ25–75) range, categorical variables as frequencies (percentages), and odd ratios (ORs) as estimates and 95% confidence interval (95% CI). Comparisons of baseline characteristics were carried out using Student's t‐test and 𝜒2 test as required. The two‐tailed significance level was set at P < 0.05. Factors associated with decreased eGFR were assessed using univariable and multivariable logistic regression. To this aim, a dichotomous categorization of catheterization parameters was used: CVP, mean pulmonary artery pressure, and pulmonary capillary wedge pressure were classified as normal if ≤10, ≤25, and ≤21 mmHg or increased if >10, >25, and >21 mmHg, respectively, and cardiac index and blood pressure were described as decreased if <2.1 L/min/m2 and <90 mmHg or normal if ≥2.1 L/min/m2 and ≥90 mmHg, respectively. Models were adjusted for age, BNP Z‐score, and history of hypertension. In a supplementary analysis, models were further adjusted for renin–angiotensin system blockers and loop diuretics dose at transplant listing. Factors associated with changes in eGFR between catheterization and 6 months after HT were assessed using linear regression in crude and adjusted models. The adjusted model included adjustment for age, BNP Z‐score, history of hypertension, eGFR at time of catheterization, treatment with renin–angiotensin system blockers, loop diuretics dose at transplant listing, and calcineurin inhibitor regimen after HT.

Results

Baseline characteristics

Among the 176 studied patients (mean age 52, 81% men), 40% had dilated cardiomyopathy and 34% had ischaemic cardiomyopathy (Table ). Median HF duration was 15 months, and a minority of patients presented co‐morbidities (23% hypertension and 15% diabetes). All patients had severe left ventricular systolic dysfunction with a median ejection fraction of 25%. Median BNP and eGFR were 868 ng/L and 63 mL/min/1.73 m2, respectively. Cardiac index was severely reduced (1.97 L/min/m2) although pulmonary artery pressure, CVP, and pulmonary capillary wedge pressure were only moderately increased (Figure S1).
Table 1

Baseline patient characteristics, medication use, and haemodynamic variables

Missing (%)Whole cohortGFR < 60 mL/min/1.73 m2 GFR > 60 mL/min/1.73 m2 P‐value
17683 (47)93 (53)
Demographic data
Age, years0 (0)52 (44–61)58 (49–63)49 (38–57)0.001
Male sex, n (%)0 (0)143 (81.3)70 (84.3)73 (78.5)0.234
Body mass index, kg/m2 0 (0)24.6 (22.1–27.9)24.3 (22.3–28.4)24.9 (22–27.5)0.801
Medical history
Hypertension, n (%)0 (0)41 (23.3)28 (33.7)13 (14)0.002
Diabetes, n (%)0 (0)26 (14.8)15 (18.1)11 (11.8)0.246
Smoking history, n (%)0 (0)115 (65.3)53 (63.9)62 (66.7)0.698
Heart failure duration, months23 (13)15 (8–48)15 (8–39)13 (6–51)0.188
Heart failure aetiology, n (%)0.21
Ischaemic, n (%)0 (0)60 (34.1)32 (38.6)28 (30.1)
Dilated cardiomyopathy, n (%)0 (0)71 (40.3)28 (33.7)43 (46.2)
Hypertrophic cardiomyopathy, n (%)0 (0)13 (7.4)9 (10.8)4 (4.3)
Heart transplant rejection, n (%)0 (0)6 (3.4)4 (4.8)2 (2.2)
Other, n (%)0 (0)26 (14.8)10 (12)16 (17.2)
Medical treatment, n (%)
Beta‐blocker, n (%)0 (0)101 (57.4)49 (59)52 (55.9)0.678
ACE inhibitor or ARB, n (%)0 (0)71 (40.3)31 (37.3)40 (43)0.448
ARNI, n (%)0 (0)53 (30.1)25 (30.1)28 (30.1)0.999
MRA, n (%)101 (57.4)42 (50.6)59 (63.4)0.99
Furosemide equivalent dose, mg0 (0)100 (40–250)80 (0–160)40 (0–160)0.93
CRT, n (%)0 (0)56 (31.8)34 (41)22 (23.7)0.014
ICD, n (%)0 (0)129 (73.3)61 (73.5)68 (73.1)0.955
Inotropic support, n (%)0 (0)54 (30.7)29 (34.9)25 (26.9)0.25
LVAD, n (%)0 (0)30 (17)13 (15.7)17 (18.3)0.647
Biological data
Creatinine, μmol/L0 (0)110 (86–142)144 (127–189)88 (75–101)<0.001
eGFR, mL/min/1.73 m2 11 (6)62.7 (46.9–83.7)44.9 (36.1–51.7)82.0 (68.0–100.3)<0.001
Total bilirubin, μmol/L0 (0)18 (12–26)20 (15–31)15 (12–22)0.011
BNP, ng/L11 (6)868 (395–1696)1240 (640–2027)582 (244–1277)<0.001
Echocardiography
LVEF, %9 (5)25 (20–30)25 (20–35)25 (20–30)0.185
LVEF < 25%, n (%)9 (5)88 (50%)41 (49.4)47 (50.5)0.881
LVEDD, mm24 (14)66 (57–74)64 (54–73)67 (59–74)0.521
Right heart catheterization
Ambulatory0 (0)93 (52.8)43 (65.1)50 (53.8)0.132
Hospitalized33 (18.8)19 (22.9)14 (15.1)
ICU50 (28.4)21 (25.3)29 (31.2)
Haemodynamic variables
CVP, mmHg0 (0)7 (3–12)10 (4–15)6 (3–10)0.003
CVP > 10 mmHg0 (0)67 (38.1)42 (50.6)25 (26.9)0.001
Mean PAP, mmHg0 (0)27 (21–35)28 (22–37)26 (19–34)0.069
Mean PAP > 25 mmHg0 (0)102 (58)51 (61.4)51 (54.8)0.378
PCWP, mmHg2 (1)19 (12–24)20 (13–26)19 (11–24)0.132
PCWP > 22 mmHg, mmHg2 (1)61 (35)32 (39)29 (32)0.359
CI, L/min/m2 6 (3)1.98 (1.66–2.31)1.95 (1.64–2.27)2.04 (1.70–2.41)0.458
CI < 2.1 L/min/m2 6 (3)102 (58)52 (64)50 (56)0.289
CVP/PCWP3 (1)0.39 (0.22–0.66)0.46 (0.24–0.71)0.33 (0.19–0.56)0.034
PAPi21 (12)3.2 (1.8–5.4)2.6 (1.6–4.3)3.7 (2.2–6.7)0.274
RVSWI, g/m/beat/m2 6 (3)6.4 (4.4–9.2)5.8 (4.2–9.2)6.8 (4.8–9.2)0.937
Clinical and functional variables
Pulmonary vascular resistance, Wood unit0 (0)2.38 (1.51–3.41)2.5 (1.63–3.56)2.3 (1.63–2.36)0.187
Systolic blood pressure, mmHg0 (0)100 (90–110)100 (85–109)100 (91–110)0.203
Diastolic blood pressure, mmHg0 (0)62 (56–70)61 (56–70)62 (57–70)0.612
Heart rate, b.p.m.0 (0)77 (67–90)78 (70–90)76 (65–92)0.87
NYHA1 (0.5)2.83 (0.63)2.89 (0.61)2.77 (0.64)0.224
VO2 max82 (47)12 (9.6–15.5)10.8 (9.4–13.6)14 (10.5–15.8)0.137

ACE, angiotensin‐converting enzyme; ARB, angiotensin II receptor blocker; ARNI, angiotensin receptor‐neprilysin inhibitor; BNP, B‐type natriuretic peptide; CI, cardiac index; CRT, cardiac resynchronization therapy; CVP, central venous pressure; eGFR, estimated glomerular filtration rate; ICD, implantable cardioverter‐defibrillator; ICU, intensive care unit; LVAD, left ventricular assist device; LVEDD, left ventricular end‐diastolic diameter; LVEF, left ventricular ejection fraction; MRA, mineralocorticoid receptor antagonist; NYHA, New York Heart Association; PAP, pulmonary artery pressure; PAPi, pulmonary artery pulsatility index; PCWP, pulmonary capillary wedge pressure; RVSWI, right ventricular stroke work index; VO2 max, maximum oxygen consumption rate.

Baseline patient characteristics, medication use, and haemodynamic variables ACE, angiotensin‐converting enzyme; ARB, angiotensin II receptor blocker; ARNI, angiotensin receptor‐neprilysin inhibitor; BNP, B‐type natriuretic peptide; CI, cardiac index; CRT, cardiac resynchronization therapy; CVP, central venous pressure; eGFR, estimated glomerular filtration rate; ICD, implantable cardioverter‐defibrillator; ICU, intensive care unit; LVAD, left ventricular assist device; LVEDD, left ventricular end‐diastolic diameter; LVEF, left ventricular ejection fraction; MRA, mineralocorticoid receptor antagonist; NYHA, New York Heart Association; PAP, pulmonary artery pressure; PAPi, pulmonary artery pulsatility index; PCWP, pulmonary capillary wedge pressure; RVSWI, right ventricular stroke work index; VO2 max, maximum oxygen consumption rate.

Factors associated with estimated glomerular filtration rate < 60 mL/min/1.73 m2 in patients awaiting heart transplantation

Approximately half of the population (47%) had an eGFR < 60 mL/min/1.73 m2; these patients were older, had a higher prevalence of hypertension, and had cardiac resynchronization therapy. CVP was higher in those patients with eGFR < 60 mL/min/1.73 m2 (10 mmHg vs. 6 mmHg, P = 0.003). Similarly, prevalence of eGFR < 60 mL/min/1.73 m2 was 38% and 63% in patients with CVP ≤ 10 and >10 mmHg, respectively (Figure ).
Figure 2

Prevalence of eGFR < 60 mL/min/1.73 m2 according to central venous pressure at right heart catheterization (Panel A) and mean delta eGFR between right heart catheterization and 6 months after heart transplantation according to eGFR and cardiac index at right heart catheterization (Panel B). CI, cardiac index; CVP, central venous pressure; eGFR, estimated glomerular filtration rate; HT, heart transplantation; RHC, right heart catheterization.

Associations between various pulmonary artery catheter parameters and chronic kidney disease using logistic regression are shown in Table . Continuous and categorical CVPs were associated with decreased eGFR (OR per mmHg increase, 1.07; 95% CI, 1.02–1.12; P = 0.004 and OR for CVP > 10 mmHg, 2.79; 95% CI, 1.49–5.22; P = 0.001, respectively). This finding resulted in a correlation of eGFR and CVP on a continuous scale (ρ = −0.24, P = 0.001) (Figure ). This association persisted after adjustment for age, history of hypertension, and BNP Z‐score. Patients with CVP > 10 mmHg doubled the likelihood of eGFR < 60 mL/min/1.73 m2 (OR in adjusted model = 2.21; 95% CI, 1.05–4.66; P = 0.036). The results remained unchanged when further adjusting for renin–angiotensin system blockers and loop diuretics dose (OR of CVP > 10 mmHg = 2.39; 95% CI, 1.09–5.25; P = 0.030, whereas all other haemodynamic variables had P > 0.05).
Table 2

Univariable and multivariable models of the association between clinical or haemodynamic profiles and estimated glomerular filtration rate < 60 mL/min/1.73 m2

Crude associationsAdjusted associations
OR95% CI P‐valueOR95% CI P‐value
Haemodynamic variables
CVP per 1 mmHg1.071.02–1.120.0041.051.00–1.110.065
CVP > 10 mmHg2.791.49–5.220.0012.211.05–4.660.036
mPAP per mmHg1.031.00–1.060.0721.000.97–1.040.881
mPAP > 25 mmHg1.310.72–2.400.3760.900.43–1.890.780
PCWP per mmHg1.020.99–1.060.2200.990.95–1.040.997
PCWP > 22 mmHg1.340.72–2.500.3560.910.43–1.900.797
CI per 1 L/min/m2 0.670.38–1.190.1711.180.67–2.080.560
CI < 2.1 L/min/m2 1.400.75–2.600.2871.110.54–2.300.769
PVR per Wood unit1.150.93–1.410.1881.010.81–1.270.906
CVP/PCWP2.511.02–6.200.0452.240.81–6.180.118
PAPi0.960.90–1.030.2780.990.91–1.070.772
RVSWI1.000.92–1.070.9360.970.88–1.060.483
Clinical and functional variables
SBP per mmHg0.990.97–1.010.2030.990.96–1.010.258
SBP < 90 mmHg1.800.89–3.600.0991.680.74–3.790.214
DBP per mmHg0.990.97–1.020.6101.000.97–1.030.918
NYHA class per 1 unit1.350.83–2.180.2241.090.62–1.920.768
VO2 max per mL/kg/min0.930.84–1.020.1400.990.88–1.120.905

95% CI, 95% confidence interval; CI, cardiac index; CVP, central venous pressure; DBP, diastolic blood pressure; HR, heart rate; mPAP, mean pulmonary arterial pressure; NYHA, New York Heart Association; OR, odds ratio; PAPi, pulmonary artery pulsatility index; PCWP, pulmonary capillary wedge pressure; PVR, pulmonary vascular resistance; RVSWI, right ventricular stroke work index; SBP, systolic blood pressure, VO2 max, maximum oxygen consumption rate.

Model adjusted for age, BNP Z‐score, and history of hypertension.

Figure 1

Correlation between CVP, CI, SBP, PCWP, and eGFR at right heart catheterization. CI, cardiac index; CVP, central venous pressure; eGFR, estimated glomerular filtration rate; HR, heart rate; PCWP, pulmonary capillary wedge pressure; SBP, systolic blood pressure.

Univariable and multivariable models of the association between clinical or haemodynamic profiles and estimated glomerular filtration rate < 60 mL/min/1.73 m2 95% CI, 95% confidence interval; CI, cardiac index; CVP, central venous pressure; DBP, diastolic blood pressure; HR, heart rate; mPAP, mean pulmonary arterial pressure; NYHA, New York Heart Association; OR, odds ratio; PAPi, pulmonary artery pulsatility index; PCWP, pulmonary capillary wedge pressure; PVR, pulmonary vascular resistance; RVSWI, right ventricular stroke work index; SBP, systolic blood pressure, VO2 max, maximum oxygen consumption rate. Model adjusted for age, BNP Z‐score, and history of hypertension. Correlation between CVP, CI, SBP, PCWP, and eGFR at right heart catheterization. CI, cardiac index; CVP, central venous pressure; eGFR, estimated glomerular filtration rate; HR, heart rate; PCWP, pulmonary capillary wedge pressure; SBP, systolic blood pressure.

Factors associated with favourable renal outcome at 6 months after heart transplantation

Median time between right heart catheterization and HT was 4.5 (1–11) months. Mean eGFR decreased by 7.9 ± 29.7 mL/min/1.73 m2 at 6 months after HT, with substantial intergroup differences according to eGFR and cardiac index at the time of heart catheterization (Table 3).
Table 3

Evolution of renal parameters between right heart catheterization and 6 months after heart transplantation according to estimated glomerular filtration rate at the time of right heart catheterization

Missing (%)Whole cohortGFR < 60 mL/min/1.73 m2 at the time of RHCGFR > 60 mL/min/1.73 m2 at the time of RHC P‐value
Haemodialysis at time of transplantation, n (%)0 (0)11 (8)7 (5)4 (3)0.23
Acute kidney injury in first 3 months after HT0 (0)0.17
No acute kidney injury30 (22)18 (28)12 (17)
Stage 1 acute kidney injury16 (12)9 (14)7 (10)
Stage 2 acute kidney injury27 (20)9 (14)18 (26)
Stage 3 acute kidney injury60 (45)28 (44)33 (47)
Length of ICU stay, days011 (8–19)11 (8–21)11 (8–16)0.07
Post‐operative mortality021 (16)14 (10)7 (5)0.06
End‐stage renal dysfunction at 6 months after HT, n (%)0 (0)2 (1)1 (1)1 (1)0.79
Creatinine at time of HT, μmol/L0 (0)113 (88–145)142 (118–180)92 (71–111)<0.001
Creatinine at 6 months after HT2 (1)113 (92–143)123 (94–139)105 (89–149)0.387
Mean eGFR at time of HT, mL/min/1.73 m2 0 (0)65.7 (30.6)45.8 (17.4)82.8 (29.1)<0.001
Median eGFR at time of HT, mL/min/1.73 m2 0 (0)59.3 (42.8–80.3)44.7 (34.1–56.3)75.2 (60.6–108)<0.001
Mean eGFR at 6 months after HT, mL/min/1.73 m2 0 (0)62.3 (24.7)57.0 (23.4)65.8 (25.1)0.086
Median eGFR at 6 months after HT, mL/min/1.73 m2 0 (0)59.3 (43.3–76.3)52.0 (43.5–68.8)65.5 (41.5–80.7)0.086
Mean delta eGFR between RHC and HT, mL/min/1.73 m2 0 (0)−1.0 (23.3)2.1 (16.0)−3.6 (28.0)0.027
Median delta eGFR between RHC and HT, mL/min/1.73 m2 0 (0)−2.6 (−14.2 to 7.7)−0.9 (−7.0 to 9.4)−7.0 (−20.1 to 7.5)0.027
Mean delta eGFR between RHC and M6 after HT, mL/min/1.73 m2 0 (0)−7.9 (29.7)13.1 (23.6)−22.2 (24.5)<0.001
Median delta eGFR between RHC and M6 after HT, mL/min/1.73 m2 0 (0)−5.9 (−24.2 to 9.0)14.9 (−4.2 to 23.0)−16.0 (−34.6 to −3.1)<0.001

eGFR, estimated glomerular filtration rate; HT, heart transplantation; ICU, intensive care unit; M6, 6 months; RHC, right heart catheterization.

Evolution of renal parameters between right heart catheterization and 6 months after heart transplantation according to estimated glomerular filtration rate at the time of right heart catheterization eGFR, estimated glomerular filtration rate; HT, heart transplantation; ICU, intensive care unit; M6, 6 months; RHC, right heart catheterization. Linear regression analysis for delta eGFR between right heart catheterization and 6 months after HT is shown in Table . Low cardiac index was the only parameter associated with an increase in eGFR between pulmonary artery catheterization and 6 months after HT in univariable analysis and after adjustment. Patients with cardiac index < 2.1 (over 60% of the study population) exhibited an increase in eGFR of 16.6 mL/min/1.73 m2 (P = 0.006) and 11.8 mL/min/1.73 m2 (P = 0.036) in univariable and multivariable analysis, respectively. The results remained unchanged after exclusion of the two patients on haemodialysis at 6 months after HT. Neither elevated venous pressure (P = 0.766) nor low systolic blood pressure (P = 0.526) was associated with changes in kidney function in multivariable analysis.
Table 4

Linear regression analysis for delta estimated glomerular filtration rate between right heart catheterization and 6 months after heart transplantation

Delta eGFR between RHC and M6 after HT
Crude associationsAdjusted associations
β P‐value β P‐value
Haemodynamic variables
CVP per 1 mmHg−0.010.980−0.190.633
CVP > 10 mmHg−1.890.766−3.810.481
mPAP per mmHg0.270.368−0.060.823
mPAP > 25 mmHg−1.160.855−6.640.257
PCWP per mmHg0.100.210−0.230.491
PCWP > 22 mmHg−3.870.530−6.030.239
CI per 1 L/min/m2 −12.50.027−15.40.006
CI < 2.1 L/min/m2 16.70.00612.20.018
PVR per Wood unit3.160.1092.080.200
Clinical variables
SBP per mmHg−0.080.706−0.040.842
SBP < 90 mmHg4.380.526−3.900.503
DBP per mmHg−0.030.9120.020.937
NYHA class per 1 unit−9.980.045−7.660.066
VO2 max per mL/kg/min0.630.4341.380.117
Renal variable
eGFR at the time of RHC, mL/min/1.73 m2 −0.67<0.001

CI, cardiac index; CVP, central venous pressure; DBP, diastolic blood pressure; eGFR, estimated glomerular filtration rate; HR, heart rate; mPAP, mean pulmonary arterial pressure; NYHA, New York Heart Association; PCWP, pulmonary capillary wedge pressure; PVR, pulmonary vascular resistance; RHC, right heart catheterization; SBP, systolic blood pressure; VO2 max, maximum oxygen consumption rate.

Model adjusted for age, BNP Z‐score, history of hypertension, eGFR at the time of RHC, treatment with renin–angiotensin system blockers and loop diuretics dose at transplant listing, and calcineurin inhibitor regimen in the 6 months after heart transplantation.

Linear regression analysis for delta estimated glomerular filtration rate between right heart catheterization and 6 months after heart transplantation CI, cardiac index; CVP, central venous pressure; DBP, diastolic blood pressure; eGFR, estimated glomerular filtration rate; HR, heart rate; mPAP, mean pulmonary arterial pressure; NYHA, New York Heart Association; PCWP, pulmonary capillary wedge pressure; PVR, pulmonary vascular resistance; RHC, right heart catheterization; SBP, systolic blood pressure; VO2 max, maximum oxygen consumption rate. Model adjusted for age, BNP Z‐score, history of hypertension, eGFR at the time of RHC, treatment with renin–angiotensin system blockers and loop diuretics dose at transplant listing, and calcineurin inhibitor regimen in the 6 months after heart transplantation.

Interplay of estimated glomerular filtration rate and cardiac index or central venous pressure in predicting estimated glomerular filtration rate improvement following heart transplantation

Patients with eGFR < 60 mL/min/1.73 m2 and cardiac index < 2.1 L/min/m2 exhibited the greatest eGFR improvement (delta eGFR = 18.3 mL/min/1.73 m2) while patients with eGFR ≥ 60 mL/min/1.73 m2 and cardiac index ≥ 2.1 L/min/m2 had a marked decrease in eGFR (delta GFR = −27.7 mL/min/1.73 m2, P < 0.001) (Figure ). When further considering the interplay of CVP and pre‐transplant eGFR, patients who had the most significant renal recovery were patients with low CVP and low eGFR, whereas eGFR changes were similar in patients with low CVP and elevated CVP when eGFR was normal at baseline (Supporting Information, Figure ). In addition, patients who exhibited the greatest eGFR recovery following HT were patients with low eGFR at baseline, low CI, and normal CVP (Supporting Information, Figure ). Prevalence of eGFR < 60 mL/min/1.73 m2 according to central venous pressure at right heart catheterization (Panel A) and mean delta eGFR between right heart catheterization and 6 months after heart transplantation according to eGFR and cardiac index at right heart catheterization (Panel B). CI, cardiac index; CVP, central venous pressure; eGFR, estimated glomerular filtration rate; HT, heart transplantation; RHC, right heart catheterization.

Results according to estimated glomerular filtration rate estimated by the chronic kidney disease epidemiology collaboration formula

The association of CVP with decreased eGFR (adjusted OR for CVP > 10 mmHg = 2.59, 1.22–5.51, P = 0.01) and the association of CI with eGFR recovery (adjusted beta for CI < 2.1 L/min/m2 = 9.9, P = 0.04) remained significant when using the Chronic Kidney Disease Epidemiology Collaboration (CKD‐EPI) formula in lieu of the MDRD formula.

Discussion

To the best of our knowledge, this is the first report describing the haemodynamic determinants of mid‐term renal function in advanced HF patients listed for cardiac transplantation. Our results highlight the association between elevated CVP and renal dysfunction in patients awaiting transplantation. Moreover, this is the first study to show that low cardiac index prior to HT is associated with long‐term renal improvement after transplantation, especially in patients with renal function impairment prior to transplantation.

Impact of central venous pressure and cardiac index on renal function in patients awaiting heart transplantation

Damman et al. previously showed that elevated CVP was associated with impaired renal function in a wide spectrum of cardiomyopathy patients who had undergone catheterization. However, in this latter study, HF patients accounted for only 16% of the population and mean cardiac index was normal (2.9 L/min/m2). Importantly, our population also differed from the HF population studied in the ESCAPE trial in that all of our patients were listed for HT, thus identifying a very specific population of young patients with advanced HF and minimal co‐morbidities. Central venous pressure elevation can represent a cause and also a consequence of chronic kidney dysfunction. Indeed, baseline renal dysfunction is an important predictor of diuretic response leading to congestion despite an increase in diuretic dose, described as diuretic resistance. , The mechanisms of renal toxicity secondary to congestion are multiple and not fully understood, although are reported to include haemodynamic effects, neurohormonal effects, endothelial activation, and proinflammatory cytokine secretion as well as iron deficiency. Prior to the present study, the respective weight of elevated CVP and decreased cardiac index on eGFR in an advanced HF population with severely reduced cardiac index was uncertain. Indeed, renal blood flow is an important determinant of GFR, , with cardiac index and renal blood flow concomitantly decreasing in patients with advanced HF. There is conversely some uncertainty regarding the association between cardiac index and eGFR. , Cardiac index and GFR have been reported not to be associated in acute decompensated severe HF populations, , although these studies lacked specific data regarding advanced HF populations with severely reduced cardiac index. In our pre‐transplant patients, we found no relationship between reduced cardiac index and eGFR, suggesting that these two parameters are not significantly related even in the lowest cardiac index values range.

Impact of cardiac index in post‐transplant kidney function

Solid organ transplantation is associated with a risk of decline in kidney function. , Common factors associated with chronic kidney dysfunction include patient age, race and sex, history of hypertension, reduced eGFR, and post‐transplant calcineurin regimen. , Similarly, acute kidney injury following HT is a common feature that can have an impact on mid‐term renal function in certain patients. In the present study population, a decrease in eGFR (7.1 mL/min/1.73 m2) was observed between right heart catheterization and 6 months after HT. The benefit of restoring cardiac output could have been counterbalanced by acute perioperative renal toxicity and calcineurin nephropathy. Moreover, this relative stability masked a sharp disparity between individuals according to renal function and cardiac index at the time of right heart catheterization. The greatest improvement in renal function in our transplanted population was observed in patients with eGFR < 60 mL/min/1.73 m2 and low cardiac index at the time of right heart catheterization. Decreased cardiac index was the only significant predictor of renal function recovery after transplantation. Improvement in renal function after restoring cardiac index is a well‐known phenomenon in patients implanted with a left ventricular assist device , in all stages of chronic kidney disease. Early renal function improvement is mostly observed in this setting in younger patients with impaired baseline eGFRs, most often in patients implanted within a bridge‐to‐transplant strategy. Similarly, Yalcin et al. emphasized that patients experiencing renal improvement had a lower cardiac index (2.5 L/min/m2 vs. 3 L/min/m2) and also increased CVP and pulmonary capillary wedge pressure. These prior findings in patients with left ventricular assist device are in keeping with the present results in the setting of HT. The International Society for Heart and Lung Transplantation guidelines recommend combined heart–kidney transplantation as opposed to HT alone in patients with irreversible renal dysfunction and eGFR < 40 mL/min/1.73 m2. Nevertheless, standardized criteria for defining irreversible renal dysfunction are still lacking. There is furthermore no recommendation for systematic kidney biopsy given the procedural risk and the absence of strong evidence supporting this approach. Combined heart and kidney transplantation is recommended by some authors if tubular atrophy and interstitial fibrosis involve at least 25% of the sampled cortex. In light of the present results, we suggest integrating low cardiac index to the clinical decision‐making process, in addition to currently considered criteria such as age, severity of HF, history of diabetes or hypertension, baseline eGFR, and kidney biopsy (if feasible or routinely performed on site in this setting).

Study limitations

The present analysis has several limitations. Some of the data were collected through a national registry and thus subject to missing data and potential coding errors. However, data are entered prospectively in order to limit these errors. The cross‐sectional and retrospective design of our study further precludes the assessment of a cause–effect relationship. The patient population comprised in the current study was limited to patients with advanced HF listed for HT and may not be generalizable to less severe or older HF patients. Haemodynamic variables are subject to measurement errors as well as intraoperator or interoperator variability; however, our centre is a tertiary centre with a vast experience in pulmonary artery catheterization limiting this bias. We did not routinely perform right heart catheterization following HT. We consequently cannot assess the association between CVP changes and renal function recovery. Glomerular function was not measured but rather estimated by the MDRD formula, and no patient underwent a renal biopsy prior to HT to assess cardiorenal syndrome reversibility. INTERMACS class at time of transplantation was not reported in the CRISTAL registry and thus not available for further investigation. Episodes of rejection and calcineurin dose were not assessed although severe rejections were quite rare due to induction with anti‐thymocyte globulin, and our routine protocol always included a calcineurin inhibitor without a dose reduction strategy in the first 6 months after HT.

Implications for clinical practice

Renal congestion is a common occurrence in patients with advanced HF and is associated with chronic kidney disease. Although there is no prospective study showing the benefit associated with the normalization of blood volume in patients with advanced HF, it would seem reasonable to endeavour achieving this goal even in patients with severely impaired renal or cardiac function. The present findings clearly highlight the association between low cardiac index and renal improvement after HT. In practice, while a decrease in renal function is likely to be observed following HT, clinicians should nevertheless be aware that patients with low cardiac output often experience an improvement in renal function. Low cardiac index should hence be considered as an additional good prognosis factor for renal function recovery in addition to young age, absence of diabetes or hypertension history, and baseline renal function when considering patients for isolated HT versus combined heart–kidney transplantation.

Conclusions

Central venous pressure is the main haemodynamic factor associated with decreased eGFR in advanced HF patients listed for HT. Low cardiac index prior to transplantation is associated with renal function recovery and should be assessed during the decision‐making process of combined heart–kidney transplantation versus isolated HT.

Conflict of interest

G.B. reports personal fees from AstraZeneca, Boehringer Ingelheim, and Abbott, outside the submitted work. L.S. reports personal fees from Novartis Pharma, AstraZeneca, and Vifor Pharma, outside the submitted work. J.B. has nothing to disclose. E.H.V. has nothing to disclose. A.J.D. reports personal fees from Boehringer Ingelheim, Novartis, Sanofi Genzyme, and Amicus. N.M. reports grants and personal fees from Novartis, personal fees from Bayer, grants from AstraZeneca, and personal fees from Vifor Pharma, outside the submitted work. M.P. has nothing to disclose. P.R. reports consulting fees from Bayer, G3P (stocks), Idorsia, and KBP; honoraria from Ablative Solutions, AstraZeneca, Bayer, Boehringer Ingelheim, Corvidia, CVRx, Fresenius, Grunenthal, Novartis, Novo Nordisk, Vifor Pharma, Inc., Sanofi, Sequana Medical, Servier, Stealth Peptides, and Vifor Fresenius Medical Care Renal Pharma; and cofounder: CardioRenal. N.G. reports personal fees from AstraZeneca, Bayer, Boehringer, Novartis, and Vifor.

Funding

The Nancy team is supported by the RHU Fight‐HF, a public grant overseen by the French National Research Agency (ANR) as part of the second ‘Investissements d'Avenir’ programme (reference: ANR‐15‐RHUS‐0004), the French PIA project ‘Lorraine Université d'Excellence’ (reference: ANR‐15‐IDEX‐04‐LUE), the ANR FOCUS‐MR (reference: ANR‐15‐CE14‐0032‐01), the ERA‐CVD EXPERT (reference: ANR‐16‐ECVD‐0002‐02), the Contrat de Plan Etat Lorraine IT2MP, and FEDER Lorraine. Figure S1. Baseline hemodynamic values at time of right heart catheterization according to eGFR. Figure S2. Mean delta eGFR between right heart catheterization and 6 months after heart transplantation according to eGFR and central venous pressure at right heart catheterization. Figure S3. Mean delta eGFR between right heart catheterization and 6 months after heart transplantation according to eGFR, cardiac index and central venous pressure at right heart catheterization. Click here for additional data file.
  29 in total

1.  The 2016 International Society for Heart Lung Transplantation listing criteria for heart transplantation: A 10-year update.

Authors:  Mandeep R Mehra; Charles E Canter; Margaret M Hannan; Marc J Semigran; Patricia A Uber; David A Baran; Lara Danziger-Isakov; James K Kirklin; Richard Kirk; Sudhir S Kushwaha; Lars H Lund; Luciano Potena; Heather J Ross; David O Taylor; Erik A M Verschuuren; Andreas Zuckermann
Journal:  J Heart Lung Transplant       Date:  2016-01       Impact factor: 10.247

2.  Evaluation study of congestive heart failure and pulmonary artery catheterization effectiveness: the ESCAPE trial.

Authors:  Cynthia Binanay; Robert M Califf; Vic Hasselblad; Christopher M O'Connor; Monica R Shah; George Sopko; Lynne W Stevenson; Gary S Francis; Carl V Leier; Leslie W Miller
Journal:  JAMA       Date:  2005-10-05       Impact factor: 56.272

3.  The role of kidney biopsy in heart transplant candidates with kidney disease.

Authors:  Barbara Labban; Neiha Arora; Susan Restaino; Glen Markowitz; Anthony Valeri; Jai Radhakrishnan
Journal:  Transplantation       Date:  2010-04-15       Impact factor: 4.939

Review 4.  The relevance of congestion in the cardio-renal syndrome.

Authors:  Joseph F Gnanaraj; Stephan von Haehling; Stefan D Anker; Dominic S Raj; Jai Radhakrishnan
Journal:  Kidney Int       Date:  2012-12-19       Impact factor: 10.612

5.  Increased central venous pressure is associated with impaired renal function and mortality in a broad spectrum of patients with cardiovascular disease.

Authors:  Kevin Damman; Vincent M van Deursen; Gerjan Navis; Adriaan A Voors; Dirk J van Veldhuisen; Hans L Hillege
Journal:  J Am Coll Cardiol       Date:  2009-02-17       Impact factor: 24.094

6.  Hemodynamic and neurochemical determinates of renal function in chronic heart failure.

Authors:  Cameron Gilbert; David Z I Cherney; Andrea B Parker; Susanna Mak; John S Floras; Abdul Al-Hesayen; John D Parker
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2015-11-11       Impact factor: 3.619

7.  Renal function and outcome after heart transplantation.

Authors:  Oscar Kolsrud; Kristjan Karason; Erik Holmberg; Sven-Erik Ricksten; Marie Felldin; Ola Samuelsson; Göran Dellgren
Journal:  J Thorac Cardiovasc Surg       Date:  2017-12-14       Impact factor: 5.209

8.  Decreased cardiac output, venous congestion and the association with renal impairment in patients with cardiac dysfunction.

Authors:  Kevin Damman; Gerjan Navis; Tom D J Smilde; Adriaan A Voors; Wim van der Bij; Dirk J van Veldhuisen; Hans L Hillege
Journal:  Eur J Heart Fail       Date:  2007-06-22       Impact factor: 15.534

9.  2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: The Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC)Developed with the special contribution of the Heart Failure Association (HFA) of the ESC.

Authors:  Piotr Ponikowski; Adriaan A Voors; Stefan D Anker; Héctor Bueno; John G F Cleland; Andrew J S Coats; Volkmar Falk; José Ramón González-Juanatey; Veli-Pekka Harjola; Ewa A Jankowska; Mariell Jessup; Cecilia Linde; Petros Nihoyannopoulos; John T Parissis; Burkert Pieske; Jillian P Riley; Giuseppe M C Rosano; Luis M Ruilope; Frank Ruschitzka; Frans H Rutten; Peter van der Meer
Journal:  Eur Heart J       Date:  2016-05-20       Impact factor: 29.983

Review 10.  The New Heart Failure Association Definition of Advanced Heart Failure.

Authors:  Marco Metra; Elisabetta Dinatolo; Nicolò Dasseni
Journal:  Card Fail Rev       Date:  2019-02
View more
  2 in total

1.  Prognosis of Advanced Heart Failure Patients according to Their Hemodynamic Profile Based on the Modified Forrester Classification.

Authors:  Guillaume Baudry; Juliette Bourdin; Raluca Mocan; Elisabeth Hugon-Vallet; Matteo Pozzi; Antoine Jobbé-Duval; Nicolas Paulo; Patrick Rossignol; Laurent Sebbag; Nicolas Girerd
Journal:  J Clin Med       Date:  2022-06-24       Impact factor: 4.964

2.  Haemodynamic parameters associated with renal function prior to and following heart transplantation.

Authors:  Guillaume Baudry; Laurent Sebbag; Juliette Bourdin; Elisabeth Hugon-Vallet; Antoine Jobbe Duval; Nathan Mewton; Matteo Pozzi; Patrick Rossignol; Nicolas Girerd
Journal:  ESC Heart Fail       Date:  2021-09-14
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.