Temporal trends in tolvaptan use after revision of national heart failure guidelines in Japan

Safety assessment of tolvaptan: real-world adverse event analysis using the FAERS database

Objective

This study aims to analyze the adverse drug events (ADEs) associated with tolvaptan in the Food and Drug Administration Adverse Event Reporting System database from the fourth quarter of 2009 to the second quarter of 2024.

Methods

After standardizing the data, various signal detection techniques, including Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network, and Multi-Item Gamma Poisson Shrinker, were employed for analysis.

Results

Among the 7,486 ADE reports where tolvaptan was the primary suspected drug, a total of 196 preferred terms were identified, spanning 24 different system organ classes. Specifically, hepatobiliary disorders, renal and urinary disorders, and metabolic and nutritional disorders were found to be characteristic adverse reactions associated with tolvaptan. Additionally, uncommon but notable ADE signals were observed, such as renal cyst rupture, renal cyst infection, polycystic liver disease, and renal cyst hemorrhage. These several ADEs have not been referred to in the previous literature. Notably, strong ADE signals were detected for decreased urine osmolality [n = 5, ROR 149.74, PRR 149.7, IC (Information Component) 7.13, EBGM (Empirical Bayes Geometric Mean) 139.79], osmotic demyelination syndrome (n = 38, ROR 128.47, PRR 128.25, IC 6.92, EBGM 120.91), and pulmonary-related tumors such as bronchial metastatic carcinoma, bronchial carcinoma, metastatic small cell lung carcinoma, and small cell lung carcinoma. In the concomitant medication analysis of 7,486 suspected adverse drug reaction reports related to tolvaptan, the top three drugs most commonly used in combination with tolvaptan were furosemide, spironolactone, and amlodipine.

Conclusion

While tolvaptan provides therapeutic benefits, it poses a risk of significant adverse reactions. Clinicians should closely monitor the occurrence of events related to hepatobiliary disorders, renal and urinary disorders, metabolic and nutritional disorders, as well as benign, malignant, and indeterminate tumors during its clinical use.

Association of pre-hospital precipitating factors with short- and long-term outcomes of acute heart failure patients: A report from the WET-HF2 registry

BACKGROUND

Interest in clinical course preceding heart failure (HF) exacerbation has grown, with a greater emphasis placed on patients' clinical factors including precipitant factor (PF). Large-scale studies with precise PF documentation and temporal-outcome variation remain limited.

METHODS

We reviewed prospectively collected 2412 consecutive patient-level records from a multicenter Japanese registry of hospitalized patients with HF (West Tokyo Heart Failure2 Registry: 2018-2020). Patients were categorized based on PFs: behavioral (i.e., poor adherence to physical activity, medicine, or diet regimen), treatment-required (i.e., anemia, arrhythmia, ischemia, infection, thyroid dysfunction or other conditions as suggested exacerbating factors), and no-PF. The composite outcomes of HF rehospitalization and death within 1 year after discharge and HF rehospitalization were individually assessed.

RESULTS

Median patient age was 78 years (interquartile range: 68-85 years), and 1468 (61%) patients had documented PFs, of which 356 (15%) were considered behavioral. The behavioral PF group were younger, more male and had past HF hospitalization history compared to those in the other groups (all p < 0.05). Although risk of in-hospital death was lower in the behavioral PF group, their risk of composite outcome was not significantly different from the treatment-required group (hazard ratio [HR] 1.19 [95% confidence interval {CI} 0.93-1.51]) and the no-PF group (HR 1.28 [95%CI 1.00-1.64]). Furthermore, the risk of HF rehospitalization was higher in the behavioral PF group than in the other two groups (HR 1.40 [95%CI 1.07-1.83] and HR 1.39 [95%CI 1.06-1.83], respectively).

CONCLUSION

Despite a better in-hospital prognosis, patients with behavioral PFs were at significantly higher risk of HF rehospitalization.

The characteristics and outcomes in patients with acute heart failure who used tolvaptan: from KCHF registry

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).

Real-World Intravenous Diuretic Use to Treat Congestion in Patients With Heart Failure - An Observational Study Using a Research Database

Background: Intravenous (IV) diuretics are key in the treatment of acute heart failure, but the time of administration can affect outcomes. Using a medical database, we assessed the real-world usage and clinical impact of IV diuretics after admission. Methods and Results: This observational study included hospitalized patients with heart failure who received IV diuretics. Relationships between IV diuretic use and clinical outcomes (duration of hospitalization, in-hospital mortality, readmission) were evaluated using analysis of variance or logistic regression. Overall, 9,653 patients (51.1% male) were assessed (mean age 80.9 years). Most (89.1%) patients had IV loop diuretic treatment initiated on Day 1 of hospitalization and 68.0% achieved the maximum dose on that day. The median duration of hospitalization was 17.0 days. In-hospital mortality was 9.2%; 13.7% of patients were readmitted within 3 months after discharge. There were prognostic relationships between IV diuretic usage and both duration of hospitalization and in-hospital mortality. On multivariable analysis, the time of maximum dose had the biggest impact on outcomes. Duration of hospitalization was prolonged and in-hospital mortality rates increased when the time of maximum dose was delayed. There was little correlation between IV diuretic use and readmission following discharge. Conclusions: Short-term outcomes (duration of hospitalization, in-hospital mortality) correlated with the time of maximum IV diuretic dose; thus, early initiation and subsequent modification of appropriate congestion treatment is critical for prognostic improvement.

Phenotyping of Elderly Patients With Heart Failure Focused on Noncardiac Conditions: A Latent Class Analysis From a Multicenter Registry of Patients Hospitalized With Heart Failure

Background The burden of noncardiovascular conditions is becoming increasingly prevalent in patients with heart failure (HF). We aimed to identify novel phenogroups incorporating noncardiovascular conditions to facilitate understanding and risk stratification in elderly patients with HF. Methods and Results Data from a total of 1881 (61.2%) patients aged ≥65 years were extracted from a prospective multicenter registry of patients hospitalized for acute HF (N=3072). We constructed subgroups of patients with HF with preserved ejection fraction (HFpEF; N=826, 43.9%) and those with non-HFpEF (N=1055, 56.1%). Latent class analysis was performed in each subgroup using 17 variables focused on noncardiovascular conditions (including comorbidities, Clinical Frailty Scale, and Geriatric Nutritional Risk Index). The latent class analysis revealed 3 distinct clinical phenogroups in both HFpEF and non-HFpEF subgroups: (1) robust physical and nutritional status (Group 1: HFpEF, 41.2%; non-HFpEF, 46.0%); (2) multimorbid patients with renal impairment (Group 2: HFpEF, 40.8%; non-HFpEF, 41.9%); and (3) malnourished patients (Group 3: HFpEF, 18.0%; non-HFpEF, 12.1%). After multivariable adjustment, compared with Group 1, patients in Groups 2 and 3 had a higher risk for all-cause death over the 1-year postdischarge period (hazard ratio [HR], 2.79 [95% CI, 1.64-4.81] and HR, 2.73 [95% CI, 1.39-5.35] in HFpEF; HR, 1.96 [95% CI, 1.22-3.14] and HR, 2.97 [95% CI, 1.64-5.38] in non-HFpEF; respectively). Conclusions In elderly patients with HF, the phenomapping focused on incorporating noncardiovascular conditions identified 3 phenogroups, each representing distinct clinical outcomes, and the discrimination pattern was similar for both patients with HFpEF and non-HFpEF. This classification provides novel risk stratification and may aid in clinical decision making.