European Heart Journal - Quality of Care and Clinical Outcomes最新文献

Background: Mortality after heart transplantation can be influenced by multiple factors. This study analysed its variation across four regions of the USA.

Objective: Analyse the differences in mortality among patients receiving a heart transplant across four regions of the USA.

Methods and results: Organ Procurement and Transplantation Network/United Network for Organ Sharing registry was analysed for adult heart transplant recipients from 1987 to 2023. They were divided into four regions according to heart transplant recipients' residence: the Northeast, Midwest, South, and West. The endpoint was all-cause mortality. A total of 33 482 heart transplant recipients were included in the analysis. Baseline characteristics differed by region. The median survival (years) was lower in the South [Northeast 12.9 (6.1-17.9), Midwest 13.1 (6.5-18.1), South 11.6 (5.3-16.8), and West 13.6 (7.0-18.6); P < 0.0001]. Mortality incidence rate was greater in the South. When compared to the Northeast, in the unadjusted analysis, mortality was higher in the South {hazard ratio (HR) 1.13 [95% confidence interval (CI) 1.07-1.19], P < 0.001} and lower in the West [HR 0.89 (95% CI 0.83-0.94), P < 0.001]. After adjusting for demographic and clinical variables, only the South retained significant differences [HR 1.17 (95% CI 1.10-1.24), P < 0.001]. Mortality significantly increased in all regions after 2018.

Conclusion: Mortality of heart transplant recipients varies across region of residence in the USA. A significant increase in adjusted mortality was observed in the South. These findings suggest that there are regional disparities in the mortality rates of heart transplant recipients.

Background and aims: Hypertrophic cardiomyopathy (HCM) is characterized by unexplained left ventricular hypertrophy (LVH) ≥15 mm. The condition is often hereditary, and family screening is recommended to reduce the risk of adverse disease complications and premature death among relatives. Correct diagnosis of index patients is important to ensure that only relatives at risk of disease development are invited for family screening. To investigate whether patients with International Classification of Disease, Tenth Revision (ICD-10) codes for HCM (DI421) or hypertrophic obstructive cardiomyopathy (HOCM) (DI422) fulfilled recognized diagnostic criteria.

Methods: All patients with ICD-10 codes for HCM or HOCM at a Department of Cardiology were identified and had their diagnosis validated by a cardiac investigation or a review of their medical records and previous investigations.

Results: A total of 240 patients had ICD-10 codes for HCM/HOCM, of whom 202 (84%, 202/240) underwent re-examination, while 38 (16%, 38/240) had their hospital notes reviewed. A total of 76 patients (32%, n = 76/240) did not fulfil diagnostic criteria, of whom 39 (51%, n = 39/76) had normal (10 mm) or modest LV wall thickness (11-14 mm). The remaining 37 patients (49%, n = 37/76) had LVH ≥15 mm, which was well explained by uncontrolled hypertension (32%, n = 24/76), aortic valve stenosis (19%, n = 7/76), or wild-type amyloidosis (16%, n = 6/76).

Conclusion: One-third of patients with ICD-10 codes for HCM or HOCM did not fulfil recognized diagnostic criteria. Incorrect diagnosis of HCM may cause unnecessary family investigations, which may be associated with anxiety, and a waste of healthcare resources. This highlights the need for specialized cardiomyopathy services to ensure correct diagnosis and management of HCM.

Background: Evidence on the longitudinal association of serum uric acid (SUA) with the risk of heart failure (HF) was limited and controversial. This study aimed to investigate the associations of cumulative SUA (cumSUA), incorporating its time course of accumulation, with the risk of HF.

Methods and results: This prospective study enrolled 54 606 participants from the Kailuan study. The magnitude of SUA accumulation was expressed as cumSUA, exposure duration, and cumulative burden from baseline to the third survey, with cumSUA, calculated by multiplying mean values between consecutive examinations by time intervals between visits, as the primary exposure.During a median follow-up of 10 years, 1260 cases of incident HF occurred. A higher risk of HF was observed in participants with the highest vs. the lowest quartile of cumSUA [adjusted hazard ratio (aHR), 1.54; 95% confidence interval (CI), 1.29-1.84], 6-year vs. 0-year exposure duration (aHR, 1.87; 95% CI, 1.43-2.45), cumulative burden >0 vs. = 0 (aHR, 1.55; 95 CI, 1.29-1.86), and those with a negative vs. positive SUA slope (aHR, 1.12; 95% CI, 1.02-1.25). When cumSUA was incorporated with its time course, those with cumSUA ≥median and a negative SUA slope had the highest risk of HF (aHR, 1.55; 95% CI, 1.29-1.86).

Conclusions: Incident HF risk was associated with the magnitude and time course of cumSUA accumulation. Early accumulation resulted in a greater risk of HF compared with later accumulation, indicating the importance of optimal SUA control earlier in life.

Background: Weight loss is a poor prognostic factor in patients with chronic heart failure (HF). However, whether the same is true for hospitalized patients with HF is unknown, even though hospitalization is the first opportunity for many patients to be diagnosed with HF. This study aimed to investigate the prognostic value of weight loss in patients hospitalized for HF.

Methods and results: This was a post-hoc analysis of the FRAGILE-HF study, a prospective multi-center, observational study including 1332 hospitalized older (≥65 years) patients with HF. The primary outcome was all-cause death within two years of discharge. Self-reported body weight data 1 year prior to hospital admission were available for 1106 patients (83.0%) and were compared with their weight after decongestion therapy. The median weight change was -6.9% [-2.4 - -11.9] and 86.8% of the overall cohort experienced some weight loss. Whereas patients with weight loss ≥5%, which is a well-validated cut-off in chronic HF, had comparable mortality to those with less weight loss (P = 0.96 by log-rank test), patients with weight loss >12%, the lowest quartile value, had higher mortality than those with less weight loss (P = 0.024 for all-cause mortality, P = 0.028 for non-cardiovascular mortality, and P = 0.28 for cardiovascular mortality, respectively). In a Cox proportional hazard model, >12% weight loss was associated with high mortality after adjusting for known prognostic factors and history of malignancy (adjusted hazard ratio: 1.485 [1.070-2.062], P = 0.018).

Conclusion: Weight loss derived from patient-reported body weight 1 year before hospitalization was significantly associated with increased mortality after discharge, mainly due to non-cardiovascular etiology, in elderly patients hospitalized for HF.

Aims: We aimed to investigate temporal trends in all-cause mortality, heart failure (HF) hospitalization, and stroke from 1997 to 2018 in patients diagnosed with both HF and atrial fibrillation (AF).

Methods and results: From Danish nationwide registers, we identified 152 059 patients with new-onset HF between 1997 and 2018. Patients were grouped according to year of new-onset HF and AF-status: Prevalent AF (n = 34 734), New-onset AF (n = 12 691), and No AF (n = 104 634). Median age decreased from 76 to 73 years between 1997 and 2018. The proportion of patients with prevalent or new-onset AF increased from 24.7% (n = 9256) to 35.8% (n = 14 970). Five-year risk of all-cause mortality went from 69.1% [confidence interval (CI): 67.9-70.2%] to 51.3% (CI: 49.9-52.7%), 62.3% (CI: 60.5-64.4%) to 43.0% (CI: 40.5-45.5%), and 61.9% (CI: 61.3-62.4%) to 36.7% (CI: 35.9-37.6%) for the Prevalent AF, New-onset AF, and No AF-group, respectively. Minimal changes were observed in the risk of HF-hospitalization. Five-year stroke risk decreased from 8.5% (CI: 7.8-9.1%) to 5.0% (CI: 4.4-5.5%) for the prevalent AF group, 8.2% (CI: 7.2-9.2%) to 4.6% (CI: 3.7-5.5%) for new-onset AF, and 6.3% (CI: 6.1-6.6%) to 4.9% (CI: 4.6-5.3%) for the No AF group. Simultaneously, anticoagulant therapy increased for patients with prevalent (from 42.7 to 93.1%) and new-onset AF (from 41.9 to 92.5%).

Conclusion: From 1997 to 2018, we observed an increase in patients with HF and co-existing AF. Mortality decreased for all patients, regardless of AF-status. Anticoagulation therapy increased, and stroke risk for patients with AF was reduced to a similar level as patients without AF in 2013-2018.

Dilated cardiomyopathy (DCM) is extensively discussed in numerous expert consensus documents and international guidelines, with differing recommendations. To support clinicians in daily practice and decision-making, we conducted a systematic review of key guidelines and recommendations concerning the diagnosis and clinical management of DCM. Our research encompassed MEDLINE and EMBASE databases for relevant articles published, as well as the websites of relevant scientific societies. We identified two guidelines and one scientific statement that met stringent criteria, thereby qualifying them for detailed systematic analysis. Our review revealed consensus on several key aspects: the definition of DCM, the use of B-type natriuretic peptides and high-sensitivity troponin in laboratory testing, the essential role of multimodality cardiovascular imaging for initial diagnosis, genetic counselling, and the management of advanced disease. Nonetheless, notable areas of variation included the formation of multidisciplinary management teams, the role of cascade genetic testing, pathways for arrhythmic risk stratification, and the criteria for prophylactic defibrillator implantation. Significant evidence gaps persist, particularly regarding the clinical trajectory of genetic, non-genetic and gene-elusive forms of DCM, the use of cardiovascular magnetic resonance in phenotype-negative family members with genotype-positive probands, and the development of potential aetiology-oriented therapies. Addressing these gaps could enhance clinical outcomes and inform future research directions and guideline development.

Aims: This study aims to explore the efficacy of reperfusion strategies on the clinical outcomes of ST-elevation myocardial infarction (STEMI) patients over 80 years old in China.

Methods and results: A retrospective cohort study was performed on STEMI patients over 80 years old who underwent reperfusion strategies and no reperfusion between January 2014 and December 2021, based on the Chinese Cardiovascular Association (CCA) Database-Chest Pain Center. This study included a total of 42,699 patients (mean age 84.1 ± 3.6 years, 52.2% male), among whom 19,280 (45.2%) underwent no reperfusion, 20,924 (49.0%) underwent primary percutaneous coronary intervention (PCI), and 2495 (5.8%) underwent thrombolytic therapy. After adjusting for potential confounders, multivariable logistic regression analysis revealed that patients who underwent primary PCI strategy showed a significantly lower risk of in-hospital mortality [odds ratio (OR) = 0.62, 95% confidence interval (CI): 0.57-0.67, P < 0.001] and the composite outcome (OR = 0.83, 95% CI: 0.79-0.87, P < 0.001) compared to those who received no reperfusion. In contrast, patients with thrombolytic therapy exhibited a non-significantly higher risk of in-hospital mortality (OR = 0.99, 95% CI: 0.86-1.14, P = 0.890) and a significantly elevated risk of the composite outcome (OR = 1.15, 95% CI: 1.05-1.27, P = 0.004). During a median follow-up of 6.7 months post-hospital admission, there was a percentage 31.4% of patients died, and patients in the primary PCI group consistently demonstrated a reduced incidence of all-cause mortality (hazard ratio (HR) = 0.58, 95% CI: 0.56-0.61, P < 0.001).

Conclusion: STEMI patients over 80 years old who underwent the primary PCI strategy are more likely to have favourable clinical outcomes compared to those who received no reperfusion, whereas thrombolytic therapy warrants careful assessment and monitoring.

Background: Spot urinary sodium concentration (UNa) is advocated in guidelines to assess diuretic response and titrate dosage in acute heart failure (AHF). However, no randomized controlled trial data exist to support this approach. We performed a prospective pilot trial to investigate the feasibility of this approach.

Methods and results: Sixty patients with AHF (n = 30 in each arm) were randomly assigned to titration of loop diuretics for the first 48 h of admission according to UNa levels (intervention arm) or based on clinical signs and symptoms of congestion (standard care arm). Diuretic insufficiency was defined as UNa <50 mmol/L. Endpoints relating to diuretic efficacy, safety, and AHF outcomes were evaluated. UNa-guided therapy patients experienced less acute kidney injury (20% vs. 50%, P = 0.01) and a tendency towards less hypokalaemia (serum K+ <3.5 mmol, 7% vs. 27%, P = 0.04), with greater weight loss (3.3 kg vs. 2.1 kg, P = 0.01). They reported a greater reduction in the clinical congestion score (-4.7 vs. -2.6, P < 0.01) and were more likely to report marked symptom improvement (40% vs. 13.3%, P = 0.04) at 48 h. There was no difference in the length of hospital stay (median length of stay: 8 days in both groups, P = 0.98), 30-day mortality, or readmission rate.

Conclusion: UNa-guided titration of diuretic therapy in AHF is feasible and safer than titration based on clinical signs and symptoms of congestion, with more effective decongestion at 48 h. Further large-scale trials are needed to determine if the superiority of this approach translates into improved patient outcomes.

Trial registration number: ACTRN12621000950864.

Background: Demand for transcatheter aortic valve implantation (TAVI) has increased in the last decade, resulting in prolonged wait-times and undesirable health outcomes in many health systems. Risk-based prioritization and wait-times benchmarks can improve equitable access to patients.

Methods and results: We used simulation models to follow-up a synthetic population of 50 000 individuals from referral to completion of TAVI. Based on their risk of adverse events, patients could be classified as 'low-', 'medium-', and 'high-risk', and shorter wait-times were assigned for the higher risk groups. We assessed the impacts of the size and wait-times for each risk group on waitlist mortality, hospitalization, and urgent TAVIs. All scenarios had the same resource constraints, allowing us to explore the trade-offs between faster access for prioritized patients and deferred access for non-prioritized groups. Increasing the proportion of patients categorized as high-risk, and providing more rapid access to the higher-risk groups achieved the greatest reductions in mortality, hospitalizations and urgent TAVIs (relative reductions of up to 29%, 23%, and 38%, respectively). However, this occurs at the expense of excessive wait-times in the non-prioritized low-risk group (up to 25 weeks). We propose wait-times of up to 3 weeks for high-risk patients and 7 weeks for medium-risk patients.

Conclusion: Prioritizing higher-risk patients with faster access leads to better health outcomes, however this also results in unacceptably long wait-times for the non-prioritized groups in settings with limited capacity. Decision-makers must be aware of these implications when developing and implementing waitlist prioritization strategies.

Background: Cardiovascular disease (CVD) is the leading cause of mortality and disability globally. We examined healthcare service utilization and costs attributable to CVD in Ireland in the period before the introduction of a major healthcare reform in 2016.

Methods: Secondary analysis of data from 8113 participants of the first wave of The Irish Longitudinal Study on Ageing. Cardiovascular disease was defined as having a self-reported doctor's diagnosis of myocardial infarction, angina, heart failure, stroke, atrial fibrillation, or transient ischaemic attack. Participants self-reported the utilization of healthcare services in the year preceding the interview. Negative binomial regression with average marginal effects (AMEs) was used to estimate the incremental number of general practitioner (GP) and outpatient department (OPD) visits, accident and emergency department attendances and hospitalizations in population with CVD relative to population without CVD. We calculated the corresponding costs at individual and population levels, by gender and age groups.

Results: The prevalence of CVD was 18.2% (95% CI: 17.3, 19.0) Participants with CVD reported higher utilization of all healthcare services. In adjusted models, having CVD was associated with incremental 1.19 [95% confidence interval (CI): 0.99, 1.39] GP and 0.79 (95% CI: 0.65, 0.93) OPD visits. There were twice as many incremental hospitalizations in males with CVD compared to females with CVD [AME (95% CI): 0.20 (0.16, 0.23) vs. 0.10 (0.07, 0.14)]. The incremental cost of healthcare service use in population with CVD was an estimated €352.2 million (95% CI: €272.8, €431.7), 93% of which was due to use of secondary care services.

Conclusion: We identified substantially increased use of healthcare services attributable to CVD in Ireland. Continued efforts aimed at CVD primary prevention and management are required.