Organ injury and its management in heart failure: Liver, kidney, and thyroid gland dysfunction

Heart failure is hemodynamically characterized as congestion and/or end-organ hypoperfusion, and is associated with increased morbidity and mortality. Underlying pathophysiology, such as neuro-hormonal activation, exacerbates heart failure and leads to functional deterioration of other organs. We have been conducting clinical research to study the pathophysiology of heart failure and discover prognostic factors. In this review article, we report the results and implications of our clinical research on heart failure.

Impact of polypharmacy on 3-year mortality in patients with heart failure: a retrospective study

BACKGROUND

Guideline-directed medical therapy (GDMT) is important in heart failure management; however, polypharmacy itself may impact heart failure. Although measures against polypharmacy are needed, current discussion on unilateral drug tapering (including the drugs that should be tapered) is insufficient. In this study, we investigated the relationship between the number of prescribed GDMT drugs and prognosis in patients with heart failure.

METHODS

In this single-centre retrospective study, 3,146 eligible patients with heart failure were included and divided into four groups based on the median number of prescribed GDMT drugs and the median number of drugs not included in the GDMT (ni-GDMT) at the time of hospital discharge. The definition of GDMT was based on various Japanese guidelines. The primary outcome was all-cause mortality within 3 years of hospital discharge.

RESULTS

A total of 252 deaths were observed during the 3-year follow-up period. Kaplan-Meier analysis revealed that groups with GDMT drug count ≥ 5 and ni-GDMT drug count < 4 had the lowest mortality, and those with GDMT drug count < 5 and ni-GDMT drug count ≥ 4 had the highest mortality (log-rank, P < 0.001). Cox regression analysis revealed a significant association between ni-GDMT drug count and all-cause mortality, even after adjustment for number of GDMT medications, age, male, left ventricular ejection function < 40%, hemoglobin, albumin levels, and estimated glomerular filtration rate [HR = 1.06 (95% CI: 1.01-1.11), P = 0.020]. Conversely, the GDMT drug count was not associated with increased mortality rates.

CONCLUSIONS

The ni-GDMT drug count was significantly associated with 3-year mortality in patients with heart failure. Conversely, the GDMT drug count did not worsen the prognosis. Polypharmacy measures should consider ni-GDMT drug quantity to improve the prognosis and outcomes in patients with heart failure.

Geriatric Nutritional Risk Index predicts bleeding event in patients with heart failure

AIMS

We aimed to elucidate the association between malnutrition and the occurrence of bleeding events in patients with heart failure.

METHODS AND RESULTS

We evaluated the nutritional status of patients with heart failure [n = 2044, median (inter-quartile range) age 69.0 (59.0-78.0) years, 1209 (59.1%) males] using the Geriatric Nutritional Risk Index (GNRI). The primary endpoint was a composite of bleeding events such as haemorrhagic stroke or gastrointestinal bleeding. According to the survival classification and regression tree analysis, the accurate cut-off point of GNRI for predicting the primary endpoint was 106.2. We divided the patients into two groups based on GNRI levels: high GNRI group (GNRI ≥ 106.2, n = 606, 29.6%) and low GNRI group (GNRI < 106.2, n = 1438, 70.4%). We compared the patients' characteristics and prognosis between the two groups. The low GNRI group was older [72.0 (63.0-79.0) vs. 63.0 (53.0-73.0) years, P < 0.001] and had a lower prevalence of male sex (56.9% vs. 64.5%, P = 0.001). There were no differences in the use of antiplatelet agents and anticoagulants between the two groups. Levels of B-type natriuretic peptide were higher [321.1 (123.3-667.4) vs. 111.6 (42.6-235.4) pg/mL, P < 0.001] and levels of haemoglobin were lower [12.4 (10.8-13.7) vs. 14.2 (12.9-15.4) g/dL, P < 0.001] in the low GNRI group. The Kaplan-Meier analysis demonstrated that bleeding event rates were higher in the low GNRI group (log-rank P < 0.001). The multivariable Cox proportional hazard analysis revealed that low GNRI (hazard ratio 1.952, 95% confidence interval 1.002-3.805, P = 0.049) was associated with bleeding events.

CONCLUSIONS

Heart failure patients with poor nutritional status, determined by GNRI under 106.2, experienced high bleeding event rates. Comprehensive management is required to avoid bleeding event in those populations.

Predictors of bleeding events in acute decompensated heart failure patients with antithrombotic therapy: AURORA study

AIMS

Heart failure (HF) is reported to be one of the major risks of bleeding events. On the other hand, HF patients frequently receive anticoagulants or antiplatelet therapy to manage various co-morbidities. However, predictors of bleeding events in patients with HF have rarely been reported. This study aimed to evaluate the predictors of bleeding events and relationship between bleeding events and HF re-hospitalizations.

METHODS AND RESULTS

We included 1660 acute decompensated heart failure (ADHF) patients from the AURORA registry between January 2015 and December 2020. A total of 1429 patients were excluded because of history of HF admission, missing echocardiographic data at discharge, lost to follow-up, haemodialysis and no antithrombotic drugs. Finally, we evaluated 231 patients from AURORA registry. The bleeding events were defined as Type 2 to 5 bleeding according to the Bleeding Academic Research Consortium definition. We divided our patients into the bleeding group and non-bleeding group. We compared the baseline characteristics, medications, laboratory data, and echocardiographic data between the two groups. Median age was 78 (IQR 71-82) years old and male accounted for 59%. Approximately half of the patients had an antiplatelet therapy and 70% had an anticoagulant therapy. During a median follow-up of 651 (IQR 357-1139) days, 32 patients (13.8%) suffered from bleeding events. The major driver of the registered events was gastrointestinal bleeding (n = 21, 65.6%), and the other events were cerebral bleeding (n = 4, 12.5%), intraarticular bleeding (n = 2, 6.3%), urogenital bleeding (n = 2, 6.3%), haemorrhagic pericardial effusions (n = 1, 3.1%), subcutaneous hematomas (n = 1, 3.1%), and haemothorax (n = 1, 3.1%). There was a significantly lower haemoglobin level (P < 0.01), higher proportion of inferior vena cava (IVC) diameter ≥21 mm (P < 0.01), and higher furosemide equivalent doses per kilogram (P < 0.01) in the bleeding group than non-bleeding group. A multivariate analysis revealed an equivalent dose of furosemide per kilogram ≥0.66 mg/kg (hazard ratios (HR) of 2.64, 95% confidence interval (CI) 1.26-5.68, P = 0.01), haemoglobin ≤10.3 g/dL (HR of 2.43, 95% CI 1.14-5.03, P = 0.02), and IVC diameter ≥21 mm (HR of 2.79, 95% CI 1.16-6.29, P = 0.02) were independently associated with bleeding events. The Kaplan-Meier analysis showed that HF re-hospitalization rates were higher in the bleeding group than non-bleeding group (P = 0.04).

CONCLUSIONS

High doses of oral loop diuretics, IVC dilatation, and anaemia were predictors of bleeding events in patients hospitalized with ADHF patients. In addition, bleeding events were associated with HF re-hospitalizations.

B-type natriuretic peptide is associated with the occurrence of bleeding events in heart failure patients with a history of coronary artery disease

BACKGROUND

Bleeding risk in heart failure (HF) patients with coronary artery disease (CAD) has not yet been fully investigated.

METHODS

We analyzed the data of 677 patients with a previous history of CAD who were hospitalized for HF. The patients were divided into three groups based on the tertiles of B-type natriuretic peptide (BNP) levels: Low, Middle, and High BNP groups (n = 225, 226, and 226, respectively). The primary endpoint was post-discharge bleeding events, which was defined as hemorrhagic stroke and gastrointestinal bleeding.

RESULTS

The High BNP group was the oldest (Low, Middle, High, 67.0, 74.0, and 75.0 years, respectively; p < 0.001), showed the lowest left ventricular ejection fraction (56.0%, 50.7%, and 40.3%, respectively; p < 0.001), and contained more patients at high bleeding risk (HBR) defined by the simplified version of the Academic Research Consortium for High Bleeding Risk (ARC-HBR) definition (65.3%, 85.4%, and 93.8%, respectively, p < 0.001). Kaplan-Meier analysis demonstrated that post-discharge bleeding events occurred most frequently in the High BNP group (log-rank p = 0.008). In the Cox proportional hazard analysis, compared to the Low BNP group as a reference, the High BNP group was independently associated with bleeding events after adjustment for age, sex, simplified ARC-HBR definition, and left ventricular ejection fraction (hazard ratio 3.208, 95% confidence interval 1.078-9.544, p = 0.036).

CONCLUSIONS

High BNP is associated with bleeding events in HF patients with a history of CAD.

Risk of Postoperative Gastrointestinal Bleeding and Its Associated Factors: A Nationwide Population-Based Study in Korea

Postoperative gastrointestinal bleeding (PGIB) is a serious complication with expensive medical costs and a high mortality rate. This study aims to analyze the incidence of PGIB and its associated factors, including its relationship with postoperative analgesic use. Patients aged ≥20 years who received various kinds of surgery from 2013 to 2017 were included (n = 1,319,807). PGIB was defined by admission with ICD-10 codes of gastrointestinal bleeding plus transfusion within 2 months after surgery. A total of 3505 (0.27%) subjects had PGIB, and the incidence was much higher for those who underwent major gastrointestinal and major cardiovascular surgery (1.9% for both), followed by major head and neck (0.7%), major genitourinary (0.5%), and orthopedic surgery (0.45%). On multivariate analysis, older age, male sex, lower income, comorbidities, peptic ulcer disease, and congestive heart failure were associated with a higher risk of gastrointestinal bleeding. Among analgesics, steroid use was associated with increased postoperative bleeding risk (adjusted OR: 1.36, 95% CI: 1.25–1.48). Acetaminophen/nonsteroidal anti-inflammatory drugs, cyclooxygenase 2 inhibitors, anticonvulsants, antidepressants, and opioids were not associated with increased risk. PGIB is considerable for major surgeries, and its risk should be considered, especially for patients with older age and comorbidities and use of steroids.

Simplified Academic Research Consortium for High Bleeding Risk (ARC-HBR) Definition Predicts Bleeding Events in Patients With Heart Failure

BACKGROUND

It has recently been reported that the simplified Academic Research Consortium for High Bleeding Risk (ARC-HBR) definition, which excludes 6 rare criteria, is comparable to the original ARC-HBR definition in predicting major bleeding in patients with coronary artery disease (CAD) who undergo percutaneous coronary intervention. In this study, we investigated whether the simplified ARC-HBR definition could be applied to patients with heart failure (HF) to identify those at high bleeding risk (HBR).Methods and Results:In all, 2,437 patients hospitalized for HF were enrolled in this study. Patients were divided into 2 groups based on the simplified ARC-HBR definition: those at HBR (n=2,026; 83.1%) and those not (non-HBR group; n=411; 16.9%). The HBR group was older (72.0 vs. 61.0 years; P<0.001) and had a lower prevalence of CAD (31.1% vs. 36.5%; P=0.034) than the non-HBR group. Kaplan-Meier analysis showed that post-discharge bleeding events defined as hemorrhagic stroke or gastrointestinal bleeding were more frequent in the HBR than non-HBR group (log-rank P<0.001). The simplified ARC-HBR definition accurately predicted bleeding events (Fine-Gray model; hazard ratio 2.777, 95% confidence interval 1.464-5.270, P=0.001).

CONCLUSIONS

The simplified ARC-HBR definition predicts a high risk of bleeding events in patients with HF.

Incidence, predictors, and clinical impact of bleeding recurrence in patients with prior gastrointestinal bleeding undergoing LAAC

BACKGROUND

Gastrointestinal bleeding (GIB) is associated with a high recurrence rate and a prior GIB episode is common in real-world left atrial appendage closure (LAAC) recipients. The present study sought to evaluate the clinical characteristics and outcomes of patients with prior GIB undergoing LAAC, and to determine the factors associated with and clinical impact of GIB recurrence.

METHODS

Multicenter study including 277 consecutive patients who underwent percutaneous LAAC and had prior GIB. All-cause death, all bleeding, GIB recurrence, and clinical ischemic stroke were recorded.

RESULTS

After a median follow-up of 17 (interquartile range: 6-37) months post-LAAC, the rates of death, bleeding, GIB recurrence, and ischemic stroke were 14.0 per 100 person-year (PY), 29.3 per 100 PY, 17.7 per 100 PY, and 1.1 per 100 PY, respectively. GIB recurrence occurred within 3 months post-LAAC in 55.8% of patients. A previous lower GIB (vs. upper or unclassified) (HR: 1.76; 95% CI: 1.09-2.82; p = .020) and eGFR < 45 mL/min (HR: 1.70; 95% CI:1.04-2.67; p = .033) determined an increased risk of GIB recurrence. By multivariable analysis, eGFR < 45 mL/min (HR: 2.72; 95% CI: 1.70-4.34; p < .001), GIB recurrence following LAAC (HR: 2.15; 95% CI: 1.33-3.46; p = .002), diabetes mellitus (HR: 1.77; 95% CI: 1.10-2.84; p = .018), and age (HR: 1.06; 95% CI: 1.03-1.10; p < .001) were associated with an increased mortality.

CONCLUSIONS

Patients with prior GIB undergoing LAAC exhibited a relatively low rate of GIB recurrence, and prior lower GIB and moderate-to-severe chronic kidney disease determined an increased risk. GIB recurrence was associated with an increased mortality.

Glasgow-Blatchford Score Predicts Post-Discharge Gastrointestinal Bleeding in Hospitalized Patients with Heart Failure

Background: The Glasgow-Blatchford Score (GBS) is one of the most widely used scoring systems for predicting clinical outcomes for gastrointestinal bleeding (GIB). However, the clinical significance of the GBS in predicting GIB in patients with heart failure (HF) remains unclear. Methods and Results: We conducted a prospective observational study in which we collected the clinical data of a total of 2236 patients (1130 men, median 70 years old) who were admitted to Fukushima Medical University Hospital for acute decompensated HF. During the post-discharge follow-up period of a median of 1235 days, seventy-eight (3.5%) patients experienced GIB. The GBS was calculated based on blood urea nitrogen, hemoglobin, systolic blood pressure, heart rate, and history of hepatic disease. The survival classification and regression tree analysis revealed that the accurate cut-off point of the GBS in predicting post-discharge GIB was six points. The patients were divided into two groups: the high GBS group (GBS > 6, n = 702, 31.4%) and the low GBS group (GBS ≤ 6, n = 1534, 68.6%). The Kaplan–Meier analysis showed that GIB rates were higher in the high GBS group than in the low GBS group. Multivariate Cox proportional hazards analysis adjusted for age, malignant tumor, and albumin indicated that a high GBS was an independent predictor of GIB (hazards ratio 2.258, 95% confidence interval 1.326–3.845, p = 0.003). Conclusions: A high GBS is an independent predictor and useful risk stratification score of post-discharge GIB in patients with HF.

Relative impact of bleedings over ischaemic events in patients with heart failure: insights from the CARDIONOR registry

AIMS

Major bleeding events in heart failure (HF) patients are poorly described. We sought to investigate the importance of major bleeding and its impact on outcomes in HF patients.

METHODS AND RESULTS

We analysed incident bleeding and ischaemic events during a 3 year follow-up in 2910 HF outpatients included in a prospective multicentre registry. Major bleeding was defined as a Type ≥3 bleed using the Bleeding Academic Research Consortium definition. Ischaemic event was a composite of ischaemic stroke and myocardial infarction. Events were adjudicated by a blinded committee. At inclusion, most patients (89%) received at least one antithrombotic: anticoagulation (53.9%) and/or antiplatelet therapy (46.2%). Bleeding occurred in 111 patients {3 year cumulative incidence: 3.6% [95% confidence interval (CI) 3.0-4.3]} and ischaemic events in 102 patients [3 year cumulative incidence: 3.3% (95% CI 2.7-4.0)]. Most bleedings were Bleeding Academic Research Consortium 3a (32.5%) or 3b (31.5%). Most frequent sites of bleeding were gastrointestinal (40.6%) and intracranial (27.9%). Variables associated with bleeding were atrial fibrillation [hazard ratio (HR) = 2.63 (95% CI 1.66-4.19), P < 0.0001], diabetes [HR = 1.62 (95% CI 1.11-2.38), P = 0.012], and older age [HR = 1.19 per 10 year increase (95% CI 1.00-1.41), P = 0.049]. Anticoagulation use was associated with a two-fold increase in the bleeding risk. Bleeding events as well as ischaemic events were strongly associated with subsequent mortality [adjusted HRs: 5.67 (4.41-7.29), P < 0.0001 and 4.29 (3.18-5.78), P < 0.0001, respectively].

CONCLUSIONS

In HF outpatients, antithrombotics are widely used. Bleeding occurs at a stable rate of 1.2% annually (as frequent as ischaemic events) and is associated with a dramatic increase in mortality (at least as severe as ischaemic events). Most events occurred in patients receiving anticoagulation. Knowledge of these findings may help physicians to manage antithrombotics in HF patients.

Prediction of gastrointestinal bleeding events in patients with acute coronary syndrome undergoing percutaneous coronary intervention: An observational cohort study (STROBE compliant)

Bleeding complications of acute coronary syndromes (ACS) after percutaneous coronary intervention (PCI) are strongly associated with adverse patient outcomes, and gastrointestinal bleeding (GIB) is the most common major bleeding event, especially in the early post-PCI period. Current guidelines recommend routinely conducting bleeding risk assessments. The existing tools are mainly used to evaluate the overall bleeding risk and guide the adjustment of antithrombotic strategies after 1 year. However, there are no specific tools for GIB risk assessment.Between January 2015 and June 2015, 4943 ACS patients underwent PCI were consecutively enrolled in the derivation cohort. GIB, cardiovascular, and cerebrovascular events were recorded within 1 year of follow-up. A validation cohort including 1000 patients who met the same inclusion and exclusion criteria was also established by propensity-score matching baseline characteristics. Multivariable cox proportional-hazards regression model was used to derive a risk-scoring system, and predictive variables were selected. A risk score nomogram based on the risk prediction model was created to estimate the 1-year risk of GIB.In this study, we found that the usage of clopidogrel (hazard ratio, HR: 2.52, 95% confidence intervals, CI: 1.573-4.021) and glycoprotein IIb/IIIa receptor inhibitors (HR: 1.863, 95% CI: 1.226-2.829), history of peptic ulcers (HR: 3.601, 95% CI: 1.226-2.829) or tumor (HR: 4.884, 95% CI: 1.226-2.829), and cardiac insufficiency (HR: 11.513, 95% CI: 7.282-18.202), renal insufficiency (HR: 2.010, 95% CI: 1.350-2.993), and prolonged activated partial thromboplastin time (HR: 4.639, 95% CI: 2.146-10.032) were independent risk factors for GIB 1 year after PCI. Based on these 7 factors, a nomogram and scoring system was established. The area under curve of risk score was 0.824 in the deviation cohort and 0.810 in the verification cohort. In both cohorts, the GIB score was significantly better than that of 3 classical bleeding scores (all P < .05).This score could well predict the risk of GIB within 1 year after PCI and could be used to guide antithrombotic strategies.