The characteristics and outcomes in patients with acute heart failure who used tolvaptan: from KCHF registry
Abstract
Aims
The use of tolvaptan is increasing in clinical practice in Japan. However, the characteristics of patients who used tolvaptan and the timing of its use in patients with acute heart failure (AHF) are not fully elucidated.
Methods and results
Among consecutive 4056 patients in the Kyoto Congestive Heart Failure registry, we analysed 3802 patients after excluding patients on dialysis, prior or unknown tolvaptan use at admission, and unknown timing of tolvaptan use, and we divided them into two groups: tolvaptan use (N = 773) and no tolvaptan use (N = 3029). The prevalence of tolvaptan use varied widely from 48.7% to 0% across the participating centres. Factors independently associated with tolvaptan use were diabetes, poor medical adherence, oedema, pleural effusion, hyponatraemia, estimated glomerular filtration rate < 30 mL/min/1.73 m2, moderate/severe tricuspid regurgitation, dobutamine infusion within 24 h, and additional inotropes infusion beyond 24 h after admission. The mortality rate at 90 days after admission was significantly higher in the tolvaptan use group than in the no tolvaptan use group (14.3% vs. 8.6%, P = 0.049). However, after adjustment, the excess mortality risk of tolvaptan use relative to no tolvaptan use was no longer significant (hazard ratio = 1.53, 95% confidence interval = 0.77–3.02, P = 0.22). Patients with tolvaptan use had a longer hospital stay [median (interquartile range): 22 (15–34) days vs. 15 (11–21) days, P < 0.0001] and a higher prevalence of worsening renal failure (47.0% vs. 31.8%, P < 0.0001) and worsening heart failure (24.8% vs. 14.4%, P < 0.0001) than those without.
Conclusions
AHF patients with tolvaptan use had more congestive status with poorer in-hospital outcomes and higher short-term mortality than those without tolvaptan use.
Clinical Trial Registration: https://clinicaltrials.gov/ct2/show/NCT02334891 (NCT02334891) and https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000017241 (UMIN000015238).
Introduction
Heart failure (HF) is markedly increasing and becoming a major and serious public health problem worldwide.1-3 In Japan, the incidence of HF may increase until 2035 from contemporary epidemiological study.4 Tolvaptan, an oral antagonist of the V2 (vasopressin type 2) receptor, was approved only for hyponatraemia in the United States and Europe. However, tolvaptan has been approved in 2010 in Japan for HF patients with volume overload uncontrolled by loop diuretics therapy.5 The EVEREST (Efficacy of Vasopressin Antagonism in Heart Failure Outcome Study With Tolvaptan) trial, a phase III trial, demonstrated that adding tolvaptan to standard therapy including diuretics improved some HF signs and symptoms in patients with HF.6 However, the use of tolvaptan in hospitalized patients with HF did not have any effect on all-cause death and cardiovascular death or hospitalization for HF7 as in the other randomized controlled trials.8 On the other hand, tolvaptan reduced the incidence of worsening renal function (WRF) and early administration of tolvaptan was associated with a shorter hospital stay.9-13 In Japan, the number of HF patients is increasing significantly, and the use of tolvaptan is on the rise.14 However, the characteristics including physical examination findings in patients who used tolvaptan and the timing of tolvaptan use were not fully elucidated in patients with acute heart failure (AHF). Hence, we aimed to characterize the patient profile of patients who used tolvaptan and the timing of tolvaptan use and to evaluate the in-hospital outcomes with or without tolvaptan use.
Materials and methods
Study population
The Kyoto Congestive Heart Failure (KCHF) registry is a physician-initiated, prospective, observational, multicentre cohort study enrolling consecutive patients who were hospitalized due to AHF for the first time between 1 October 2014 and 31 March 2016 in the 19 participating secondary and tertiary hospitals in Japan. The overall designs of the KCHF registry have been previously described in detail.15, 16 In brief, we enrolled consecutive patients with AHF, as defined by the modified Framingham criteria, who were admitted to the participating centres and who underwent HF-specific treatment involving intravenous drugs administered within 24 h of hospital presentation.
Among consecutive 4056 patients enrolled in the KCHF registry, the current study population consisted of 3802 patients after excluding 44 patients on dialysis, 169 patients with tolvaptan use prior to admission, 19 patients with unknown timing for tolvaptan use, and 22 patients with unknown tolvaptan use (Figure 1). There were 773 patients in the tolvaptan use group and 3029 patients in the no tolvaptan use group. Based on the median time for starting tolvaptan, we defined early tolvaptan use as that starting within 48 h from hospital presentation, whereas we defined late tolvaptan use as that starting beyond 48 h. There were 378 patients in the early tolvaptan use group and 395 patients in the late tolvaptan use group.
In the present study, we sought to compare the baseline characteristics, discharge status, and clinical outcomes at 90 days after admission between the two groups with and without tolvaptan use. We also sought to identify the factors associated with tolvaptan use. Moreover, we sought to compare the baseline characteristics between the two groups with early and late tolvaptan use. Finally, we sought to evaluate the inter-hospital variation for tolvaptan use and for the timing of tolvaptan use.
Ethics
The investigation conformed to the principles outlined in the Declaration of Helsinki. The study protocol was approved by the ethics committee in Kyoto University Hospital (local identifier: E2311) and each participating hospital. A waiver of written informed consent was granted by the institutional review boards of Kyoto University and each participating centre, as the study met the conditions outlined in the Japanese ethical guidelines for medical and health research involving human subjects.17 We disclosed the details of the present study to the public as an opt-out method and informed the patients of their right to refuse enrolment. Details were described in the supporting information. This study was registered with UMIN (UMIN identifier: UMIN000015238).
Data collection and definitions
We collected data on patient demographics, medical history, underlying heart disease, pre-hospital activities, socioeconomic status, signs, symptoms, medications, laboratory tests at hospital presentation, electrocardiogram, echocardiography, and clinical events during the index hospitalization by the attending physicians or research assistants at each participating hospital. The definitions for these data were previously reported and summarized in the supporting information.15
The attending physicians or research assistants at each participating hospital collected data regarding clinical events that occurred during 90 days of follow-up after admission from the hospital charts. The outcome measures for the current study were all-cause death, cardiovascular death, and non-cardiovascular death. The causes of death were classified according to the VARC (Valve Academic Research Consortium) definitions.18 A clinical event committee adjudicated all the endpoint events.15, 16 We also assessed worsening HF (WHF) and WRF. WHF during the index hospitalization was defined as additional intravenous drug treatment for HF, haemodialysis, or mechanical circulatory or respiratory support, occurring >24 h after therapy initiation, while WRF was defined as >0.3 mg/dL increase in serum creatinine during the index hospitalization.19, 20 Valvular heart disease was classified as moderate to severe aortic stenosis, aortic regurgitation, mitral stenosis, mitral regurgitation (excluding functional mitral regurgitation), tricuspid regurgitation (TR), and prosthetic valve dysfunction.
Statistical analyses
The categorical variables were presented as numbers and percentages and were compared using a χ2 test or Fisher's exact test. The continuous variables were expressed as means (standard deviations) or medians [interquartile ranges (IQRs)]. On the basis of their distributions, the continuous variables were compared using the Student's t-test or the Wilcoxon rank sum test.
We used a multivariable logistic regression model to explore the factors associated with tolvaptan use. We included the following 19 variables based on the clinical relevance including those factors related to the volume status: age (over 80 years old), prior HF hospitalization, diabetes mellitus, poor medical adherence, high-dose loop diuretics, mineralocorticoid receptor antagonists (MRAs), New York Heart Association (NYHA) classification III or IV, oedema, pleural effusion, hypotension (systolic blood pressure below 90 mmHg), anaemia, hypoalbuminaemia (albumin level < 3.0 g/dL), hyponatraemia (sodium level < 135 mEq/L), estimated glomerular filtration rate (eGFR) < 30 mL/min/1.73 m2, left ventricular ejection fraction (LVEF) < 40% by echocardiography, moderate or severe TR, infusion therapy of carperitide within 24 h, infusion therapy of dobutamine within 24 h, and infusion therapy of additional inotropes 24 h after admission. The odds ratios (ORs) and 95% confidence intervals (CIs) were calculated.
To estimate the risk of tolvaptan use relative to no tolvaptan use for the clinical outcome measures at 90 days after admission, we used Cox proportional hazard models incorporating tolvaptan use as a time-updated covariate accounting for the time to start tolvaptan. We included the following clinically relevant 23 risk-adjusting variables shown in Table 1 into the model consistent with previous studies.21 The adjusted hazard ratios (HRs) and 95% CIs were calculated.
Variables | No tolvaptan use (N = 3029) | Tolvaptan use (N = 773) | P value | Total N of patients analysed |
---|---|---|---|---|
Clinical characteristic | ||||
Age, years | 77.9 ± 12.0 | 79.0 ± 11.7 | 0.02 | 3802 |
Age ≥ 80 yearsa | 1582 (52.2) | 451 (58.3) | 0.002 | 3802 |
Womena | 1373 (45.3) | 362 (46.8) | 0.45 | 3802 |
BMI, kg/m2 | 22.8 ± 4.4 | 23.0 ± 4.8 | 0.17 | 3588 |
BMI ≤ 22 kg/m2a | 1348 (47.1) | 327 (45.0) | 0.32 | 3588 |
Aetiology | <0.0001 | 3802 | ||
Coronary artery disease | 978 (32.3) | 264 (34.2) | ||
Non-acute coronary syndrome | 794 (26.2) | 221 (28.6) | ||
Acute coronary syndromea | 184 (6.1) | 43 (5.6) | ||
Hypertensive heart disease | 792 (26.2) | 153 (19.8) | ||
Valvular heart disease | 563 (18.6) | 193 (25.0) | ||
AS | 196 (6.5) | 79 (10.2) | ||
AR | 79 (2.6) | 20 (2.6) | ||
MS | 19 (0.6) | 13 (1.7) | ||
MR | 190 (6.3) | 44 (5.7) | ||
TR | 23 (0.8) | 11 (1.4) | ||
Prosthetic valve dysfunction | 56 (1.9) | 26 (3.4) | ||
Cardiomyopathy | 452 (14.9) | 106 (13.7) | ||
Other heart disease | 244 (8.1) | 57 (7.4) | ||
Medical history | ||||
Hypertensiona | 2196 (72.5) | 553 (71.5) | 0.59 | 3802 |
Diabetesa | 1069 (35.3) | 315 (40.8) | 0.005 | 3802 |
Dyslipidaemia | 1143 (37.7) | 303 (39.2) | 0.45 | 3802 |
Atrial fibrillation or fluttera | 1226 (40.5) | 339 (43.9) | 0.09 | 3802 |
Previous HF hospitalizationa | 993 (32.8) | 275 (35.6) | 0.14 | 3802 |
Previous myocardial infarctiona | 660 (21.8) | 180 (23.3) | 0.37 | 3802 |
Previous PCI or CABG | 739 (24.4) | 195 (25.2) | 0.63 | 3802 |
Prior device implantation | 260 (8.6) | 79 (10.2) | 0.15 | 3802 |
Pacemaker | 179 (5.9) | 51 (6.6) | ||
ICD | 41 (1.4) | 13 (1.7) | ||
CRTP/CRTD | 42 (1.4) | 16 (2.1) | ||
Previous strokea | 476 (15.7) | 139 (18.0) | 0.13 | 3802 |
Current smokinga | 374 (12.6) | 79 (10.4) | 0.10 | 3729 |
Chronic kidney disease | 1186 (39.2) | 435 (56.3) | <0.0001 | 3802 |
Chronic lung diseasea | 401 (13.2) | 97 (12.6) | 0.61 | 3802 |
COPD | 247 (8.2) | 65 (8.4) | 0.82 | 3802 |
Asthma | 182 (6.0) | 37 (4.8) | 0.19 | 3802 |
Malignancy | 443 (14.6) | 103 (13.3) | 0.36 | 3802 |
Cognitive dysfunction | 551 (18.2) | 172 (22.3) | 0.01 | 3802 |
Daily life activities | <0.0001 | 3768 | ||
Ambulatorya | 2403 (80.1) | 562 (73.2) | ||
Use of wheelchair | 472 (15.7) | 170 (22.1) | ||
Bedridden | 125 (4.2) | 36 (4.7) | ||
Social background | ||||
Poor medical adherence | 517 (17.1) | 109 (14.1) | 0.047 | 3802 |
Employed | 417 (13.8) | 74 (9.6) | 0.002 | 3802 |
Public assistance | 181 (6.0) | 30 (3.9) | 0.02 | 3802 |
Lifestyle | ||||
Singlea | 659 (21.8) | 161 (20.8) | 0.58 | 3802 |
With a partner only | 777 (25.7) | 172 (22.3) | 0.0501 | 3800 |
Institution for aged or hospital | 205 (6.8) | 66 (8.5) | 0.09 | 3802 |
Vital signs at presentation | ||||
Heart rate, b.p.m. | 97.2 ± 28.2 | 93.8 ± 26.0 | 0.002 | 3779 |
<60 b.p.m.a | 195 (6.5) | 54 (7.0) | 0.58 | 3779 |
Systolic BP, mmHg | 149.3 ± 35.2 | 141.7 ± 33.3 | <0.0001 | 3792 |
<90 mmHga | 78 (2.6) | 27 (3.5) | 0.17 | 3794 |
Rhythms at presentation | 0.55 | 3802 | ||
Sinus rhythm | 1718 (56.7) | 423 (54.7) | ||
Atrial fibrillation or flutter | 1092 (36.1) | 288 (37.3) | ||
Others | 219 (7.2) | 62 (8.0) | ||
Clinical presentation | ||||
Paroxysmal nocturnal dyspnoea | 1448 (49.9) | 350 (47.9) | 0.34 | 3636 |
Orthopnoea | 1745 (59.5) | 475 (64.0) | 0.03 | 3673 |
Dyspnoea on exertion | 2391 (82.3) | 630 (86.2) | 0.01 | 3636 |
Oedema | 1406 (47.7) | 472 (63.2) | <0.0001 | 3692 |
Jugular vein distension | 1270 (44.7) | 448 (61.2) | <0.0001 | 3576 |
Pleural effusion | 1326 (44.2) | 468 (60.6) | <0.0001 | 3769 |
Pulmonary congestion | 1777 (59.4) | 456 (59.2) | 0.95 | 3764 |
NYHA class III or IV | 2617 (86.8) | 699 (90.8) | 0.003 | 3784 |
Echocardiography | ||||
LVEF, % | 46.2 ± 16.0 | 46.5 ± 16.5 | 0.62 | 3670 |
LVEF classification | 0.29 | 3790 | ||
HFrEF (LVEF < 40%)a | 1131 (37.5) | 298 (38.7) | ||
HFmrEF (LVEF 40–49%) | 581 (19.2) | 129 (16.8) | ||
HFpEF (LVEF ≥ 50%) | 1308 (43.3) | 343 (44.6) | ||
TR (moderate/severe) | 673 (24.0) | 249 (35.1) | <0.0001 | 3518 |
MR (moderate/severe) | 895 (31.9) | 283 (40.4) | <0.0001 | 3507 |
AS (moderate/severe) | 181 (6.5) | 53 (7.6) | 0.29 | 3510 |
Laboratory findings on admission | ||||
BNP, pg/mL | 693 (384–1238) | 783 (438–1442) | 0.0003 | 3361 |
NT-proBNP, pg/mL | 5572 (2623–12 175) | 6622 (3529–18 300) | 0.02 | 659 |
Troponin I, ng/mL | 0.057 (0.027–0.203) | 0.075 (0.030–0.232) | 0.18 | 1630 |
Troponin T, ng/mL | 0.045 (0.026–0.100) | 0.050 (0.027–0.140) | 0.13 | 939 |
Serum creatinine, mg/dL | 1.04 (0.80–1.49) | 1.30 (0.94–1.91) | <0.0001 | 3796 |
eGFR, mL/min/1.73 m2 | 48.4 ± 23.2 | 40.4 ± 22.4 | <0.0001 | 3796 |
<30 mL/min/1.73 m2a | 679 (22.5) | 288 (37.3) | <0.0001 | 3796 |
Albumin, g/L | 3.5 ± 0.5 | 3.4 ± 0.5 | <0.0001 | 3699 |
<3.0 g/La | 378 (12.8) | 148 (19.6) | <0.0001 | 3699 |
Sodium, mEq/L | 139.3 ± 4.1 | 138.2 ± 4.8 | <0.0001 | 3791 |
<135 mEq/La | 331 (11.0) | 139 (18.0) | <0.0001 | 3791 |
Haemoglobin, g/dL | 11.7 ± 2.3 | 11.1 ± 2.3 | <0.0001 | 3796 |
Anaemiaa | 1934 (64.0) | 576 (74.6) | <0.0001 | 3796 |
Medication prior to admission | ||||
ACEI/ARBs | 1370 (45.2) | 361 (46.7) | 0.46 | 3802 |
Beta-blockers | 1128 (37.2) | 293 (37.9) | 0.73 | 3802 |
MRAsa | 491 (16.2) | 178 (23.0) | <0.0001 | 3802 |
Loop diureticsa | 1332 (44.0) | 452 (58.5) | <0.0001 | 3802 |
High-dose loop diuretics | 140 (11.0) | 74 (17.0) | 0.001 | 1709 |
Aspirin | 970 (32.0) | 254 (32.9) | 0.66 | 3802 |
P2Y12 receptor blockers | 363 (12.0) | 102 (13.2) | 0.36 | 3802 |
Intravenous drugs within 24 h after hospital presentation | ||||
Furosemide | 2562 (84.6) | 666 (86.2) | 0.27 | 3802 |
Vasodilators | ||||
Carperitide | 1112 (36.7) | 298 (38.6) | 0.34 | 3802 |
Nitrates | 590 (19.5) | 130 (16.8) | 0.09 | 3802 |
Nicardipine | 178 (5.9) | 51 (6.6) | 0.45 | 3802 |
Inotropes | ||||
Dopamine | 52 (1.7) | 14 (1.8) | 0.86 | 3802 |
Dobutamine | 318 (10.5) | 129 (16.7) | <0.0001 | 3802 |
Noradrenaline | 95 (3.1) | 32 (4.1) | 0.17 | 3802 |
Intravenous drugs beyond 24 h after hospital presentation | ||||
Furosemide | 69 (2.3) | 38 (4.9) | <0.0001 | 3802 |
Carperitide | 75 (2.5) | 46 (6.0) | <0.0001 | 3802 |
Nitrates | 32 (1.1) | 21 (2.7) | 0.0004 | 3802 |
Inotropes | 148 (4.9) | 96 (12.4) | <0.0001 | 3802 |
Medications at discharge | ||||
ACEI/ARBs | 1725 (60.4) | 341 (48.6) | <0.0001 | 3557 |
Beta-blockers | 1927 (67.5) | 431 (61.5) | 0.003 | 3557 |
MRAs | 1290 (45.1) | 336 (47.9) | 0.19 | 3557 |
Loop diuretics | 2272 (79.6) | 603 (86.0) | <0.0001 | 3557 |
Aspirin | 1095 (38.3) | 271 (38.7) | 0.88 | 3557 |
P2Y12 receptor blockers | 543 (19.0) | 143 (20.4) | 0.40 | 3557 |
- Values are number (%) or mean ± standard deviation, or median (interquartile range). P values were calculated using the χ2 test or Fisher's exact test for categorical variables and the Student's t-test or the Wilcoxon rank sum test for continuous variables.
- ACEI, angiotensin-converting enzyme inhibitor; AR, aortic regurgitation; ARBs, angiotensin II receptor blockers; AS, aortic stenosis; BMI, body mass index; BNP, B-type natriuretic peptide; BP, blood pressure; CABG, coronary artery bypass grafting; COPD, chronic obstructive pulmonary disease; CRTD, cardiac resynchronization therapy with defibrillator; CRTP, cardiac resynchronization therapy without defibrillator; eGFR, estimated glomerular filtration rate; HF, heart failure; HFmrEF, heart failure with mid-range ejection fraction; HFpEF, heart failure with preserved ejection fraction; HFrEF, heart failure with reduced ejection fraction; ICD, implantable cardioverter defibrillator; LVEF, left ventricular ejection fraction; MR, mitral regurgitation; MRAs, mineralocorticoid receptor antagonists; MS, mitral stenosis; NT-proBNP, N-terminal pro-brain-type natriuretic peptide; NYHA, New York Heart Association; PCI, percutaneous coronary intervention; TR, tricuspid regurgitation.
- a Risk-adjusting variables selected for the Cox proportional hazard models.
To explore the inter-hospital variation of tolvaptan use, we evaluated the prevalence of early and late tolvaptan use across the participating centres. We also assessed the correlation between the prevalence of tolvaptan use and the ratio of early to late tolvaptan use in each participating centre using Spearman's rank correlation coefficient weighting the number of cases at the participating centres.
All statistical analyses were conducted by a physician (R. N.) and a statistician (T. M.) using JMP 16.0 (SAS Institute Inc., Cary, NC, USA) and EZR (Easy R). All the reported P values were two-tailed, and P values < 0.05 were considered statistically significant.
Results
Characteristics of the study population with and without tolvaptan use
Of the 3802 patients without tolvaptan use before the index hospitalization included in this current study, 773 patients (20%) used tolvaptan (Figure 1). Characteristics of the two groups with and without tolvaptan use are shown in Table 1. Patients who used tolvaptan as compared with those who did not use tolvaptan were older and had higher B-type natriuretic peptide or N-terminal pro-brain-type natriuretic peptide and serum creatinine levels. They also had a higher prevalence of valvular heart disease aetiology, diabetes, chronic kidney disease (CKD), cognitive dysfunction, symptoms of congestion like orthopnoea, dyspnoea on exertion, oedema, jugular vein distension, pleural effusion, NYHA class III or IV, and moderate to severe TR and mitral regurgitation, while they had a lower prevalence of ambulatory status, poor medical adherence, employed status, and public assistance and had a lower heart rate, systolic blood pressure, serum albumin, sodium, and haemoglobin level.
Patients who used tolvaptan as compared with those who did not use tolvaptan were more frequently treated with MRAs and loop diuretics at admission but were less frequently treated with angiotensin-converting enzyme inhibitor/angiotensin II receptor blocker and beta-blockers at discharge. Patients who used tolvaptan were more frequently treated with dobutamine within 24 h after hospital presentation and were more frequently treated with furosemide, carperitide, nitrates, and inotropes beyond 24 h after hospital presentation than those who did not use tolvaptan (Table 1).
Factors associated with tolvaptan use during hospitalization
By the multivariable logistic regression analysis, the factors independently associated with tolvaptan use were diabetes (OR = 1.36, 95% CI = 1.05–1.76, P = 0.02), poor medical adherence (OR = 0.66, 95% CI = 0.46–0.95, P = 0.02), oedema (OR = 1.54, 95% CI = 1.18–2.01, P = 0.002), pleural effusion (OR = 1.53, 95% CI = 1.18–1.98, P = 0.001), hyponatraemia (sodium level < 135 mEq/L) (OR = 1.51, 95% CI = 1.07–2.13, P = 0.02), eGFR < 30 mL/min/1.73 m2 (OR = 1.66, 95% CI = 1.27–2.16, P = 0.0002), moderate or severe TR (OR = 1.56, 95% CI = 1.20–2.02, P = 0.0008), infusion therapy of dobutamine within 24 h (OR = 1.71, 95% CI = 1.18–2.47, P = 0.005), and infusion therapy of additional inotropes 24 h after admission (OR = 2.49, 95% CI = 1.58–3.94, P < 0.0001) (Table 2).
Variables | Univariate analysis | Multivariable analysis | ||
---|---|---|---|---|
Odds ratio (95% CI) | P value | Odds ratio (95% CI) | P value | |
Age ≧ 80 years | 1.28 (1.09–1.50) | 0.002 | 1.10 (0.84–1.43) | 0.49 |
Prior HF hospitalization | 1.13 (0.96–1.34) | 0.14 | 0.91 (0.71–1.17) | 0.46 |
Diabetes | 1.26 (1.07–1.48) | 0.005 | 1.36 (1.05–1.76) | 0.02 |
Poor medical adherence | 0.80 (0.64–0.997) | 0.047 | 0.66 (0.46–0.95) | 0.02 |
High-dose loop diuretics | 1.66 (1.22–2.25) | 0.001 | 1.33 (0.94–1.89) | 0.11 |
MRAs prior to admission | 1.55 (1.27–1.88) | <0.0001 | 1.21 (0.93–1.57) | 0.16 |
NYHA class III or IV | 1.49 (1.14–1.95) | 0.003 | 0.97 (0.67–1.41) | 0.88 |
Oedema | 1.88 (1.59–2.22) | <0.0001 | 1.54 (1.18–2.01) | 0.002 |
Pleural effusion | 1.94 (1.65–2.28) | <0.0001 | 1.53 (1.18–1.98) | 0.001 |
Hypotension (systolic BP below 90 mmHg) | 1.37 (0.88–2.13) | 0.17 | 1.22 (0.59–2.53) | 0.59 |
Anaemia | 1.66 (1.39–1.98) | <0.0001 | 1.34 (0.96–1.86) | 0.08 |
Hypoalbuminaemia (albumin level < 3.0 g/dL) | 1.66 (1.34–2.05) | <0.0001 | 1.30 (0.93–1.83) | 0.13 |
Hyponatraemia (sodium level < 135 mEq/L) | 1.79 (1.44–2.22) | <0.0001 | 1.51 (1.07–2.13) | 0.02 |
eGFR < 30 mL/min/1.73 m2 | 2.05 (1.73–2.43) | <0.0001 | 1.66 (1.27–2.16) | 0.0002 |
LVEF < 40% by echocardiography | 1.05 (0.90–1.24) | 0.52 | 0.82 (0.62–1.09) | 0.17 |
Moderate or severe TR | 1.72 (1.44–2.05) | <0.0001 | 1.56 (1.20–2.02) | 0.0008 |
Infusion therapy of carperitide within 24 h | 1.08 (0.92–1.27) | 0.34 | 1.08 (0.83–1.40) | 0.57 |
Infusion therapy of dobutamine within 24 h | 1.71 (1.37–2.13) | <0.0001 | 1.71 (1.18–2.47) | 0.005 |
Infusion therapy of additional inotropes 24 h after admission | 2.76 (2.11–3.62) | <0.0001 | 2.49 (1.58–3.94) | <0.0001 |
- BP, blood pressure; CI, confidence interval; eGFR, estimated glomerular filtration rate; HF, heart failure; LVEF, left ventricular ejection fraction; MRAs, mineralocorticoid receptor antagonists; NYHA, New York Heart Association; TR; tricuspid regurgitation.
Clinical outcomes after 90 days of follow-up from the index hospitalization and discharge status: the tolvaptan use vs. no tolvaptan use groups
The incidences of all-cause death and cardiovascular death at 90 days of follow-up from the index hospitalization were significantly higher in the tolvaptan use group than in the no tolvaptan use group (14.3% vs. 8.6%, P = 0.049 and 10.0% vs. 6.2%, P = 0.03, respectively). After adjusting for confounders incorporating tolvaptan use as a time-updated covariate accounting for the time to start tolvaptan, the excess risk of tolvaptan use relative to no tolvaptan use was no longer significant for all-cause death, cardiovascular death, and non-cardiovascular death at 90 days of follow-up from the index hospitalization (adjusted HR = 1.53, 95% CI = 0.77–3.02, P = 0.22; adjusted HR = 2.00, 95% CI = 0.85–4.72, P = 0.11; adjusted HR = 0.82, 95% CI = 0.24–2.74, P = 0.74) (Table 3). Patients who used tolvaptan had a longer hospital stay [median 22 (15–34) days vs. 15 (11–21) days, P < 0.0001] and a higher prevalence of WRF (47.0% vs. 31.8%, P < 0.0001) and WHF (24.8% vs. 14.4%, P < 0.0001). Also, they more often had high-dose loop diuretic, dyspnoea on exertion, and oedema at discharge (Supporting Information, Table S1).
No tolvaptan use (N = 3029) | Tolvaptan use (N = 773) | Crude hazard ratio (95% CI) | P value | Adjusted hazard ratio (95% CI) | P value | |
---|---|---|---|---|---|---|
All-cause death | 257 (8.6%) | 109 (14.3%) | 1.74 (1.00–3.03) | 0.049 | 1.53 (0.77–3.02) | 0.22 |
Cardiovascular death | 185 (6.2%) | 75 (10.0%) | 2.18 (1.10–4.33) | 0.03 | 2.00 (0.85–4.72) | 0.11 |
Non-cardiovascular death | 72 (2.5%) | 34 (4.7%) | 1.08 (0.42–2.75) | 0.87 | 0.82 (0.24–2.74) | 0.74 |
- CI, confidence interval.
Early vs. late use of tolvaptan
Of the 773 patients who used tolvaptan, 378 patients used tolvaptan early and 395 patients used tolvaptan late. The median interval from admission to the day of starting tolvaptan was 2 (IQR: 0–6) days. The histogram for the days of starting tolvaptan was shown in Supporting Information, Figure S1. Characteristics of the early and late use of tolvaptan groups were shown in Supporting Information, Table S2. Patients with late tolvaptan use had higher levels of Troponin T, serum sodium, and haemoglobin at presentation than patients with early tolvaptan use. Patients with late tolvaptan use were more frequently treated with carperitide and noradrenaline and less frequently treated with nicardipine within 24 h after hospital presentation and were more frequently treated with furosemide and inotropes beyond 24 h after hospital presentation than patients with early tolvaptan use (Supporting Information, Table S2).
Tolvaptan use across the participating centres
The prevalence of tolvaptan use varied from 48.7% to 0% across the participating centres (Figure 2). There was a significant positive correlation between the prevalence of tolvaptan use and the ratio of early to late tolvaptan use in each participating centre (R2 = 0.256, P = 0.03) (Figure 3).
Discussion
The main findings of the present study are as follows: (i) Patients using tolvaptan had more congestive findings, worse discharge status, and higher mortality rate at 90 days after admission; (ii) the factors independently associated with tolvaptan use were diabetes, poor medical adherence, oedema, pleural effusion, hyponatraemia, eGFR < 30 mL/min/1.73 m2, moderate or severe TR, infusion therapy of dobutamine within 24 h, and infusion therapy of additional inotropes beyond 24 h after admission; and (iii) the prevalence of tolvaptan use varied widely across the participating centres, and there was a significant positive correlation between the prevalence of tolvaptan use and the ratio of early to late tolvaptan use in each participating centre.
In this study, patients with tolvaptan use had more congestive findings such as oedema, pleural effusion, and moderate or severe TR, because tolvaptan improves fluid retention and reduces intracellular water and extracellular water at comparable reduction rates.22 There was a report that valvular heart disease including moderate or severe TR was a significant association with sleep apnoea, especially central and mixed apnoea.23 TR might be associated with right heart dysfunction, and right heart dysfunction has been reported to be associated with major cardiovascular adverse events.24 Patients with hyponatraemia and CKD were also more likely to use tolvaptan, as there were some reports that tolvaptan was effective in hyponatraemia with HF and in CKD with HF.25, 26 Tolvaptan was also more likely to be used when dobutamine infusion was used within 24 h from admission. Patients who used dobutamine generally had low LVEF, severe congestion, and hypotension, and therefore, tolvaptan was probably chosen because of its minimal haemodynamic impact.27 Tolvaptan was used when furosemide, carperitide, or inotropic was added after 24 h from admission, and it was thought that tolvaptan had to be added when initial treatment resulted in poor improvement of congestion. Previous randomized controlled studies have reported no change in in-hospital mortality with tolvaptan in patients with AHF.7, 13, 25, 28, 29 In the present study, mortality at 90 days was higher in the group of patients who used tolvaptan, but this might be attributed to the poor background of patients who used tolvaptan. Patients who used tolvaptan had a higher rate of residual congestion and high-dose loop diuretics at discharge. Diuretics, including loop diuretics and tolvaptan, were often added when congestion remains after initial treatment. The increased use of loop diuretics was thought to have resulted in an increased frequency of WRF and longer length of hospital stay, as reported in a previous observational study.30 Poor medical adherence is expected to avoid the tolvaptan use because we should monitor the serum sodium levels to avoid the rapid occurrence of hypernatraemia. The relatively high drug price of tolvaptan in Japan has prevented its use for patients with poor therapeutic adherence.
The characteristics of patients who used tolvaptan early or late were very similar at presentation except for the prevalence of hyponatraemia and anaemia. However, the infusion drugs within 24 h at admission were quite different between the two groups. Patients in the late tolvaptan use group were more likely to use carperitide within 24 h of admission and furosemide and inotropic drugs beyond 24 h. It was thought that tolvaptan was used as an additional treatment in cases of poor response to initial treatment, including carperitide, although the exact identification of the group that responded poorly to initial therapy was not possible in the present study. Further study is needed to explore whether early tolvaptan use would improve the outcomes in these patients. As in the previous report,10, 13 patients with early tolvaptan use were associated with shorter hospital stays and less frequent WRF than those with late tolvaptan use. Japanese physicians might have prioritized early decongestion and renal protection with tolvaptan over usage of increased doses of loop diuretics in clinical practice.
The timing of tolvaptan use varied considerably across the participating centres and was earlier as the prevalence of tolvaptan increases. This may be affected by the physicians' experience for tolvaptan use favouring early oral treatment by tolvaptan use rather than keeping the intravenous blood access in patients with AHF.
Limitations
The present study had several limitations. First, the observational nature of the study design could have introduced unmeasurable residual confounding factors. Second, it is impossible to account for the effect of selection biases for tolvaptan use and the timing of tolvaptan use as well as treatment biases for other pharmacological and mechanical therapies. Third, this study did not evaluate long-term outcomes such as long-term mortality, rehospitalization of HF, or quality of life. Fourth, sacubitril/valsartan and sodium-glucose cotransporter 2 inhibitors were just approved in Japan during the study periods and were not included in the present analysis. Finally, the data from the KCHF registry came from Japanese institutions only and may not be representative of HF patients in other regions of the world.
Conclusions
AHF patients with tolvaptan use had more congestive status with poorer in-hospital outcomes and higher short-term mortality than those without tolvaptan use.
Acknowledgements
None reported.
Conflict of interest
Dr K. Kuwahara reports modest lectures fees from Alnylam Japan Co., Ltd, AstraZeneca Co., Ltd, Otsuka Pharmaceutical Co., Ltd, Ono Pharmaceutical Co., Ltd, Kyowa Kirin Co., Ltd, Daiichi Sankyo Co., Ltd, Mitsubishi Tanabe Pharma Co., Ltd, Eli Lilly Japan Co., Ltd, Nippon Boehringer Ingelheim Co., Ltd, Novartis Pharma Co., Ltd, and Bayer Pharmaceutical Co., Ltd; modest research grants from Kowa Co., Ltd, AstraZeneca Co., Ltd, Daiichi Sankyo Co., Ltd, and Japan Clinical Research Forum; modest scholarship donations from Otsuka Pharmaceutical Co., Ltd, Mitsubishi Tanabe Pharma Co., Ltd, and Nippon Boehringer Ingelheim Co., Ltd; and modest endowed chair affiliation from Biotronic Japan Co., Ltd, Boston Scientific Japan Co., Ltd, Medtronic Japan Co., Ltd, Abbott Medical Japan LLC, Boston Scientific Japan Co., Ltd, Terumo Co., Ltd, Japan Lifeline Co., Ltd, Cardinal Health Japan LLC, and Nipro Co., Ltd. Dr K. Ando reports modest honoraria from Medtronic Japan, Japan Lifeline, Terumo, Bristol Myers Squibb, Abbott Medical Japan, and BIOTRONIK Japan.
Funding
This study was supported by grant 18059186 from the Japan Agency for Medical Research and Development (Drs T.K., K.K., and O.N.).