Heart failure in Finland: clinical characteristics, mortality, and healthcare resource use

Exploring the mechanism of Tingli Pill in the treatment of HFpEF based on network pharmacology and molecular docking

To explore the mechanism of action of Tingli Pill (TLP) in the treatment of heart failure with preserved ejection fraction (HFpEF) by using network pharmacology and molecular docking technology. The active components and targets of TLP were screened using the TCMSP and UniProt databases. HFpEF-related targets were identified using the OMIM and GeneCards databases. Drug-disease intersection targets were obtained via Venny 2.1.0, as well as establishing the "component-target" network and screening out the core active components. Construct a protein-protein interaction network of intersecting targets using the STRING database as well as Cytoscape software and filter the core targets. Gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis of core targets were performed using the Metascape database. The core active components of TLP for HFpEF were quercetin, kaempferol, β-sitosterol, isorhamnetin and hederagenin. The core targets of TLP for HFpEF were JUN, MAPK1, TP53, AKT1, RELA, TNF, MAPK14, and IL16. Gene ontology enrichment analysis obtained 1528 biological processes, 85 cell components, and 140 molecular functions. The Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis yielded 1940 signaling pathways, mainly involved in lipid and atherosclerosis, regulation of apoptotic signaling pathway, PI3K-Akt signaling pathway, HIF-1 signaling pathway, oxidative stress, TNF signaling pathway, and IL-17 signaling pathway. TLP has the characteristics of multi-component, multi-target, and multi-pathway in the treatment of HFpEF. This study lays the foundation for revealing the pharmacodynamic substances and mechanism of TLP in the treatment of HFpEF.

Effectiveness of Telemonitoring in Reducing Hospitalization and Associated Costs for Patients With Heart Failure in Finland: Nonrandomized Pre-Post Telemonitoring Study

BACKGROUND

Many patients with chronic heart failure (HF) experience a reduced health status, leading to readmission after hospitalization despite receiving conventional care. Telemonitoring approaches aim to improve the early detection of HF decompensations and prevent readmissions. However, knowledge about the impact of telemonitoring on preventing readmissions and related costs remains scarce.

OBJECTIVE

This study assessed the effectiveness of adding a telemonitoring solution to the standard of care (SOC) for the prevention of hospitalization and related costs in patients with HF in Finland.

METHODS

We performed a nonrandomized pre-post telemonitoring study to estimate health care costs and resource use during 6 months on SOC followed by 6 months on SOC with a novel telemonitoring solution. The telemonitoring solution consisted of a digital platform for patient-reported symptoms and daily weight and blood pressure measurements, automatically generated alerts triggering phone calls with secondary care nurses, and rapid response to alerts by treating physicians. Telemonitoring solution data were linked to patient register data on primary care, secondary care, and hospitalization. The patient register of the Southern Savonia Social and Health Care Authority (Essote) was used. Eligible patients had at least 1 hospital admission within the last 12 months and self-reported New York Heart Association class II-IV from the central hospital in the Southern Savonia region.

RESULTS

Out of 50 recruited patients with HF, 43 completed the study and were included in the analysis. The hospitalization-related cost decreased (49%; P=.03) from €2189 (95% CI €1384-€2994; a currency exchange rate of EUR €1=US $1.10589 is applicable) during SOC to €1114 (95% CI €425-€1803) during telemonitoring. The number of patients with at least 1 hospitalization due to HF was reduced by 70% (P=.002) from 20 (47%) out of 43patients during SOC to 6 (14%) out of 43 patients in telemonitoring. The estimated mean total health care cost per patient was €3124 (95% CI €2212-€4036) during SOC and €2104 (95% CI €1313-€2895) during telemonitoring, resulting in a 33% reduction (P=.07) in costs with telemonitoring.

CONCLUSIONS

The results suggest that the telemonitoring solution can reduce hospital-related costs for patients with HF with a recent hospital admission.

The different risk of new-onset, chronic, worsening, and advanced heart failure: A systematic review and meta-regression analysis

AIMS

Heart failure (HF) is a chronic and progressive syndrome associated with a poor prognosis. While it may seem intuitive that the risk of adverse outcomes varies across the different stages of HF, an overview of these risks is lacking. This study aims to determine the risk of all-cause mortality and HF hospitalizations associated with new-onset HF, chronic HF (CHF), worsening HF (WHF), and advanced HF.

METHODS AND RESULTS

We performed a systematic review of observational studies from 2012 to 2022 using five different databases. The primary outcomes were 30-day and 1-year all-cause mortality, as well as 1-year HF hospitalization. Studies were pooled using random effects meta-analysis, and mixed-effects meta-regression was used to compare the different HF groups. Among the 15 759 studies screened, 66 were included representing 862 046 HF patients. Pooled 30-day mortality rates did not reveal a significant distinction between hospital-admitted patients, with rates of 10.13% for new-onset HF and 8.11% for WHF (p = 0.10). However, the 1-year mortality risk differed and increased stepwise from CHF to advanced HF, with a rate of 8.47% (95% confidence interval [CI] 7.24-9.89) for CHF, 21.15% (95% CI 17.78-24.95) for new-onset HF, 26.84% (95% CI 23.74-30.19) for WHF, and 29.74% (95% CI 24.15-36.10) for advanced HF. Readmission rates for HF at 1 year followed a similar trend.

CONCLUSIONS

Our meta-analysis of observational studies confirms the different risk for adverse outcomes across the distinct HF stages. Moreover, it emphasizes the negative prognostic value of WHF as the first progressive stage from CHF towards advanced HF.

The characteristic large-scale annual analysis by gender and age in heart failure patients: cohort for 10 years in Korea

AIMS

The prevalence and incidence rate of heart failure (HF) continues to increase along with the aging of the population and the increase of ischaemic heart disease. The morbidity and mortality of HF are also on the rise in the industrialized countries; it can be a great public health problem. A detailed and accurate analysis of the demographical incidence and prevalence of HF is an important first step in predicting the occurrence of the disease in the future and proper preparing for prevention. Here, we aimed to analyse the annual prevalence and incidence of HF by gender and age using long-term national health insurance service data in the Republic of Korea.

METHODS AND RESULTS

A total of 47 243 patients newly diagnosed with HF between 2006 and 2015 among nationally representative random subjects of 1 000 000 were included. The data of age and gender were analysed by year, and the total population information of the Ministry of Land, Infrastructure, and Transport of Korea was referred to compare the data of HF patients with the total population (2008-15). Over the decade from 2006 to 2015, the prevalence of HF patients showed tendency of increase (P < 0.001). The overall incidence rate was also gradually increasing (P < 0.001), but in women, it tended to decrease gradually. Women significantly accounted higher than the male group in incidence of HF over the period (54.6% vs. 45.4%, P < 0.001). The mean age at the time of diagnosis gradually increased (P = 0.002 for total, P = 0.001 for each gender). Total incidence was highest in 70s (27.22%), but males were the most in their 60s and females were in their 70s. Analysis of annual trend by age and gender distribution of HF incidence in men presented highest in the 50s-70s with a similar pattern annually, and the incidence is increasing more recently. Different from that of men, in the case of women, the incidence gradually increased with age in a similar annual pattern, peaking in their 70s and gradually decreasing in recent years.

CONCLUSIONS

The prevalence and incidence of HF are gradually increasing. It increased rapidly in their 50s and older. It showed an increased incidence of HF especially in men between their 50s and 70s, and more observation and caution for the management of the risk factors may be needed to prevent HF in the male group.

Identification of urgent gaps in public and policymaker knowledge of heart failure: Results of a global survey

BACKGROUND

Despite advances in the treatment of heart failure (HF) with reduced ejection fraction, people with HF continue to have a high risk of mortality and hospitalisation. Patients also suffer from poor quality of life, with reduced societal and economic participation. The burden of HF on patients and healthcare systems is extraordinary, yet awareness remains low. This survey was conducted to identify gaps in general public and policymaker knowledge around HF.

METHODS

A closed-question web-based survey of the general public and policymakers was conducted between February and October 2020. Study outcomes assessed the participants' awareness and understanding of HF symptoms, risk factors and mortality, and views around hospital admissions in their country. Responses were collected using multiple-choice questions.

RESULTS

The survey was completed by 26,272 general public respondents in 13 countries and 281 government and public sector policymakers in nine countries. While 99% of general public respondents had heard of HF, their understanding of the condition and its symptoms was poor, and only 6% identified that shortness of breath, fatigue, and leg swelling were the main symptoms of HF. Of policymaker respondents, 14% identified HF as the leading cause of avoidable hospitalisations, and only 4% recognised that ~ 87% of government spending on HF is related to hospitalisations.

CONCLUSIONS

Major gaps were identified in the understanding of HF and the burden it places on patients and their caregivers, healthcare systems and society. This study confirms an ongoing need for national policy strategies and investment to raise awareness of the importance of HF prevention, early diagnosis, and implementation of effective treatments to reduce hospitalisations and death.

Bundle branch block in cardiac arrest survivors without ischemic heart disease

Aims

Cardiac arrest (CA) survivors with left/right bundle branch block (LBBB/RBBB) and no ischemic heart disease (IHD) have not been previously characterized. The aim of this study was to describe heart failure, implantable cardioverter defibrillator (ICD) therapy and mortality in this population.

Methods

Between 2009 and 2019 we consecutively identified all CA survivors with a consistent bundle branch block (BBB) defined as a QRS ≥ 120 ms, who had a secondary prophylactic ICD implanted. Patients with congenital and ischemic heart disease (IHD) were excluded.

Results

Among 701 CA-survivors who survived to discharge and received an ICD, a total of 58 (8%) were free from IHD and had BBB; 46 (79%) had LBBB, 10 (17%) had RBBB and 2 (3%) had non-specific BBB (NSBBB). The prevalence of LBBB was 7%. Pre-arrest ECG were available in 34 (59%) patients; 20 patients (59%) had LBBB, 6 (18%) had RBBB, 2 (6%) had NSBBB, 1 had (3%) incomplete LBBB, and 4 (12%) without BBB. At discharge, patients with LBBB had a significantly lower left ventricular ejection fraction (LVEF) than patients with other types of BBB, p < 0.001. During follow-up, 7 (12%) died after a median of 3.6 years (IQR: 2.6-5.1) with no difference between BBB subtypes.

Conclusion

We identified 58 CA-survivors with BBB and no IHD. The prevalence of LBBB among all CA-survivors was high, 7%. During CA hospitalization LBBB patients presented with a significantly lower LVEF than patients with other types of BBB (P < 0.001). ICD treatment and mortality did not differ between BBB subtypes during follow-up.

Risk factors of serious postoperative outcomes in patients aged ≥90 years undergoing surgical intervention

Objective

We aimed to identify preoperative and intraoperative factors associated with serious postoperative outcomes, which may help patients and clinicians make better-informed decisions.

Methods

We conducted a retrospective study including all patients aged ≥90 years who underwent surgery between January 1, 2011, and January 1, 2021, at Chongqing University Central Hospital. We assessed 30 pre- and intraoperative demographic and clinical variables. Logistic regression was used to identify the independent risk factors for serious postoperative outcomes in patients aged ≥90 years.

Results

A total of 428 patients were included in our analysis. The mean age was 92.6 years (SD ± 2.6). There were 240 (56.1%) females and 188 (43.9%) males. The most common comorbidities were hypertension (44.9%) and arrhythmias (34.8%). The 30-day hospital mortality was 5.6%, and severe morbidity was 33.2%. Based on the multivariate logistic regression classification analysis of the American Society of Anesthesiologists (ASA)≥ Ⅳ [odds ratio (OR), 5.39, 95% confidence interval (CI), 2.06-14.16, P = .001], emergency surgery (OR, 5.02, 95% CI, 2.85-15.98, P = .001) and chronic heart failure (OR, 6.11, 95% CI, 1.93-13.06, P = .001) were identified as independent risk factors for 30-day hospital mortality, and ASA≥ Ⅳ (OR, 4.56, 95%CI, 2.56-8.15, P < .001), Barthel index (BI) < 35 (OR, 2.28, 95%CI, 1.30-3.98, P = .001), chronic heart failure (OR, 3.67, 95%CI, 1.62-8.31, P = .002), chronic kidney disease (OR, 4.24, 95%CI, 1.99-9.05, P < .001), general anesthesia (OR, 3.31, 95%CI, 1.91-5.76, P < .001), emergency surgery (OR, 3.72, 95%CI, 1.98-6.99, P < .001), and major surgery (OR, 3.44, 95%CI, 1.90-6.22, P < .001) were identified as independent risk factors for serious postoperative complications.

Conclusions

Patients aged ≥90 years with ASA≥ Ⅳ, BI < 35, combined with chronic heart failure or chronic kidney disease, undergoing emergency surgery, major surgery or general anesthesia have a higher risk of serious postoperative outcomes. Identifying these risk factors in an early stage may contribute to our clinical decision-making and improve the quality of treatments.

Cost-Effectiveness of Empagliflozin in Combination with Standard Care versus Standard Care Only in the Treatment of Heart Failure Patients in Finland

Purpose

Sodium-glucose cotransporter-2 (SGLT2) inhibitor empagliflozin has recently been shown to improve the outcomes of heart failure (HF) patients regardless of patient's left ventricular ejection fraction by reducing the combined risk of cardiovascular death or hospitalization for worsening HF. The aim of this study was to assess the cost-effectiveness of adding empagliflozin to the standard care (SC) in comparison to SC only in the treatment of HF in Finland.

Patients and Methods

The assessment was performed in the cost-utility framework using two Markov cohort state-transition models, one for HF with reduced ejection fraction (HFrEF) and one for HF with preserved ejection fraction (HFpEF). The models have been primarily developed based on the EMPEROR-Reduced and EMPEROR-Preserved trials which informed the modelled patient characteristics, efficacy of treatments in terms of associated risks for heart failure hospitalizations, cardiovascular (CV) and non-CV death, treatment related adverse events (AE), and state- and event-specific health-related quality of life weights (EQ-5D). Direct health care costs were estimated from Finnish published references. Cost-effectiveness was assessed from health care payer perspective based on incremental cost-effectiveness ratio (ICER; cost per quality adjusted life-year [QALY] gained) and probability of cost-effectiveness (at willingness-to-pay [WTP] of 35,000 euros/QALY). The ICER was reported as the weighted (HFrEF, 43.5%; HFpEF, 56.5%) average result of the two models.

Results

Empagliflozin + SC treatment increased the average quality-adjusted life-expectancy, and treatment costs of HF patients by 0.15 QALYs and 1,594 euros, respectively, when compared to SC. An additional QALY with empagliflozin was thus gained at a cost of 10,621 euros. The probability of empagliflozin + SC being cost-effective compared to placebo + SC was 77.6% and 83.5% with WTP of 35,000 and 100,000 euros/QALY, respectively.

Conclusion

Empagliflozin is a cost-effective treatment for patients with HF in the Finnish health care setting.

The Ablation of VEGFR-1 Signaling Promotes Pressure Overload-Induced Cardiac Dysfunction and Sudden Death

Molecular mechanisms involved in cardiac remodelling are not fully understood. To study the role of vascular endothelial growth factor receptor 1 (VEGFR-1) signaling in left ventricular hypertrophy (LVH) and heart failure, we used a mouse model lacking the intracellular VEGFR-1 tyrosine kinase domain (VEGFR-1 TK-/-) and induced pressure overload with angiotensin II infusion. Using echocardiography (ECG) and immunohistochemistry, we evaluated pathological changes in the heart during pressure overload and measured the corresponding alterations in expression level and phosphorylation of interesting targets by deep RNA sequencing and Western blot, respectively. By day 6 of pressure overload, control mice developed significant LVH whereas VEGFR-1 TK-/- mice displayed a complete absence of LVH, which correlated with significantly increased mortality. At a later time point, the cardiac dysfunction led to increased ANP and BNP levels, atrial dilatation and prolongation of the QRSp duration as well as increased cardiomyocyte area. Immunohistochemical analyses showed no alterations in fibrosis or angiogenesis in VEGFR-1 TK-/- mice. Mechanistically, the ablation of VEGFR-1 signaling led to significantly upregulated mTOR and downregulated PKCα phosphorylation in the myocardium. Our results show that VEGFR-1 signaling regulates the early cardiac remodelling during the compensatory phase of pressure overload and increases the risk of sudden death.

Incidence, prevalence, and mortality of heart failure: a nationwide registry study from 2013 to 2016

Aims

Large‐scaled population studies of incidence and prevalence of heart failure (HF) are needed for the development of healthcare policies and priorities. The aim of this study was to estimate the incidence, prevalence, and all‐cause mortality of HF in Norway from 2013 to 2016 on the basis of a national registry.

Methods and results

Using data from the nationwide Norwegian Prescription Database, we identified all patients ≥18 years of age in Norway with at least one drug prescription with HF during 2013–2016, defined by 10th revision of the International Classification of Diseases (ICD‐10) codes I50, I11, I13, or I42. The individual index date was the date of the first prescription. Patients were followed up until death or end of follow‐up (31 October 2017). Annual incidence and prevalence were estimated from 2013 to 2016, using a look‐back period starting from 1 March 2008. We calculated standardized estimates by applying direct age and sex standardization to the 2013 European standard population. All‐cause mortality from 2013 to 2016 was calculated among the prevalent HF patients. Standardized mortality ratio (SMR) was calculated by indirect standardization using general mortality in the Norwegian population as reference. We identified 54 542 unique patients (58% men) with a first‐time diagnosis of HF. The median age was 72 ±14 years, and women were older than men (median age 76 vs. 70 years, respectively). The crude (standardized) incidence of HF was 3.44/1000 (4.23/1000) person‐years in 2016 and did not increase over the 4 year period, while the prevalence increased from 2.0% (2.3%) to 2.4% (2.8%). Both incidence and prevalence were higher in men than in women and strongly associated with age. Crude mortality rates in the HF population declined from 94 to 82/1000 person‐years from 2013 to 2016, and SMR declined from 2.01 to 1.84. Age‐adjusted mortality rates were higher in men than in women.

Conclusions

This nationwide registry study in Norway showed an increase in the prevalence of HF from 2013 to 2016, with stable incidence rates and improved survival.

Real-world clinical diagnostics of heart failure patients with reduced or preserved ejection fraction

AIMS

The study aimed at investigating the use of guideline-recommended diagnostic tools and medication in patients with heart failure (HF) in specialty care in Southwest Finland. We also compared the characteristics of the diagnosed and undiagnosed patients as well as laboratory tests, procedures, and treatments in everyday clinical practice.

METHODS AND RESULTS

Patients diagnosed with HF, cardiomyopathy, or hypertension-induced heart disease (n = 20 878, primary cohort) or not diagnosed with HF but having a record of elevated N-terminal pro-brain natriuretic peptide (NT-proBNP) (>125 ng/L, n = 24 321, secondary cohort) were included in the study from the specialty care patient register of the Hospital District of Southwest Finland during the years 2005-2017. Among patients with an International Classification of Diseases, Tenth Revision (ICD-10) code for HF, only 50% had ejection fraction (EF) data to be found by data mining from the electronic health records. Of these patients, 39% (n = 4042) had EF ≤ 40% [HF with reduced EF (HFrEF)] and 61% (n = 6347) had EF > 40%. Elevated NT-proBNP together with EF > 40% narrowed down the number to 4590 patients, a population defined as HF with preserved EF (HFpEF) patients. HFpEF patients were further stratified into HF with mildly reduced EF (HFmrEF; EF 41-50%, n = 1468) and EF > 50% patients (n = 3122) to compare clinical characteristics. NT-proBNP was higher within the HFrEF patients vs. HFpEF {4580 [inter-quartile range (IQR): 2065-9765] vs. 2900 [2065-9765] ng/L, P < 0.001}. Baseline co-morbidities differed between HFpEF and HFrEF groups. Further, HFpEF patients had more procedures and lab tests taken prior to diagnosis than had HFrEF patients. HFmrEF patients were found to resemble more HFrEF than EF > 50% patients. In 70% (n = 17 156) of patients in the secondary cohort, the NT-proBNP concentrations were >300 ng/L, median was 1090 (IQR 551-2558) ng/L and EF 58.4 ± 12.1% (n with EF available = 6845). Reduced EF was present in 6.8% of patients lacking HF diagnosis.

CONCLUSIONS

Half of the patients with ICD-10 code for HF did not have EF data available after a visit at specialty care. In particular, the diagnosis of HFpEF seems challenging, reflected as an increase in procedures and laboratory test preceding diagnosis compared with those in HFrEF patients. Also, a large proportion of patients did not have HF diagnosis, yet they presented elevated NT-proBNP concentrations and clinical characteristics resembling those of HFpEF patients.

Heart failure in Finland: clinical characteristics, mortality, and healthcare resource use

Aims

The aims of this study were to describe patient characteristics of the adult chronic heart failure (HF) population and to estimate the prevalence, incidence, healthcare resource utilization (HCRU), and mortality associated with HF in Southwest Finland.

Methods and results

This was a retrospective biobank and clinical registry study. Adult patients with an HF diagnosis (International Statistical Classification of Diseases and Related Health Problems (ICD) code I50) during 2004–2013 in secondary care were included in the study and compared with age‐matched and gender‐matched control patients without an I50 diagnosis. HF patients were stratified in groups by left ventricular ejection fraction (LVEF) as follows: LVEF < 40% [HF with reduced ejection fraction (HFrEF)]; LVEF ≥ 40% [HF with preserved ejection fraction (HFpEF)]; or unknown (LVEF unknown). HCRU was stratified by inpatient, outpatient, and emergency room visits. In 2013, the incidence of HF was 3.2/1000, and the prevalence was 13.9/1000 inhabitants (n = 15 594). In the stratified analysis of HF patients (n = 8833, average ± SD age 77.1 ± 11.2), 1115 (12.6%) patients had HFrEF (female 31.3%), 1449 (16.4%) had HFpEF (female 50.9%), and 6269 (71%) had unknown LVEF (female 52.1%). The most common co‐morbidities were essential hypertension (58%), chronic elevated serum creatinine (57.3%), atrial fibrillation and flutter (55.1%), and chronic ischaemic heart disease (46.4%). Patients with HF diagnosis had higher HCRU compared with that of age‐matched and gender‐matched controls (3.7 more days per year at the hospital for HF patients compared with the controls). The total 5 year mortality was 62.6% for HF patients and 28.3% for controls, with higher age being the strongest predictor of mortality. Moreover, multivariable Cox regression analysis showed that patients with HFrEF had a 13% (95% confidence interval 2.7–25%) increased risk of mortality compared with HFpEF patients.

Conclusions

The high mortality rate and HCRU among the studied HF patients highlight the severity of the disease and the economic and social burden on both patients and society. This calls for improved methods of care for this large patient population.