Bromocriptine treatment and outcomes in peripartum cardiomyopathy: the EORP PPCM registry.

BACKGROUND AND AIMS: Peripartum cardiomyopathy (PPCM) remains a serious threat to maternal health around the world. While bromocriptine, in addition to standard treatment for heart failure, presents a promising pathophysiology-based disease-specific treatment option in PPCM, the evidence regarding its efficacy remains limited. This study aimed to determine whether bromocriptine treatment is associated with improved maternal outcomes in PPCM. METHODS: PPCM patients from the EORP PPCM registry with available follow-up were included. The main exposure of this exploratory non-randomized analysis was bromocriptine treatment, and the main outcome was a composite endpoint of maternal outcome (death or hospital readmission within the first 6 months after diagnosis, or persistent severe left ventricular dysfunction [left ventricular ejection fraction <35%] at 6-month follow-up). Inverse probability weighting was used to minimize the effects of confounding by indication. Multiple imputation was used to account for missing data. RESULTS: Among 552 patients with PPCM, 85 were treated with bromocriptine (15%). The primary endpoint was available in 491 patients (89%) and occurred in 18 out of 82 patients treated with bromocriptine in addition to standard of care (22%) and in 136 out of 409 patients treated with standard of care (33%) (p=0.044). In complete case analysis, bromocriptine treatment was associated with reduced adverse maternal outcome (odds ratio [OR] 0.29, 95% confidence interval [CI] 0.10-0.83, p=0.021). This association remained after applying multiple imputation and methods to correct for confounding by indication (inverse probability weighted model on imputed data OR 0.39, 95% CI 0.19-0.81, p=0.011). Thrombo-embolic events were observed in 5.9% of the patients in the bromocriptine group versus 5.6% in the standard of care group (p=0.900). CONCLUSIONS: Among women with PPCM, bromocriptine treatment in addition to standard of care was associated with better maternal outcomes after 6 months.

Chronic kidney disease begets heart failure and vice versa: temporal associations between heart failure events in relation to incident chronic kidney disease in type 2 diabetes.

AIM: To investigate the interplay of incident chronic kidney disease (CKD) and/or heart failure (HF) and their associations with prognosis in a large, population-based cohort with type 2 diabetes (T2DM). METHODS: Patients aged ≥18 years with new-onset T2DM, without renal disease or HF at baseline, were identified from the territory-wide Clinical Data Analysis Reporting System between 2000 and 2015. Patients were followed up until December 31, 2020 for incident CKD and/or HF and all-cause mortality. RESULTS: Among 102 488 patients (median age 66 years, 45.7% women, median follow-up 7.5 years), new-onset CKD occurred in 14 798 patients (14.4%), in whom 21.7% had HF. In contrast, among 9258 patients (9.0%) with new-onset HF, 34.6% had CKD. The median time from baseline to incident CKD or HF (4.4 vs. 4.1 years) did not differ. However, the median (interquartile range) time until incident HF after CKD diagnosis was 1.7 (0.5-3.6) years and was 1.2 (0.2-3.4) years for incident CKD after HF diagnosis (P < 0.001). The crude incidence of CKD was higher than that of HF: 17.6 (95% confidence interval [CI] 17.3-17.9) vs. 10.6 (95% CI 10.4-10.9)/1000 person-years, respectively, but incident HF was associated with a higher adjusted-mortality than incident CKD. The presence of either condition (vs. CKD/HF-free status) was associated with a three-fold hazard of death, whereas concomitant HF and CKD conferred a six to seven-fold adjusted hazard of mortality. CONCLUSION: Cardiorenal complications are common and are associated with high mortality risk among patients with new-onset T2DM. Close surveillance of these dual complications is crucial to reduce the burden of disease.

Adalimumab combined with methotrexate versus adalimumab monotherapy in psoriasis: Three-year follow-up data of a single-blind randomized controlled trial.

BACKGROUND: Anti-drug antibodies (ADA) are formed in patients treated with adalimumab (ADL). This might increase clearance of ADL, potentially causing a (secondary) non-response. Combination therapy of ADL and methotrexate (MTX) reduces ADA levels and has a clinical benefit in rheumatologic diseases. In psoriasis however, the long-term effectiveness and safety have not been studied. OBJECTIVES: To investigate the three-year follow-up data of ADL combined with MTX compared to ADL monotherapy in ADL-naive patients with moderate to severe plaque type psoriasis. METHODS: We conducted a multicentre RCT in the Netherlands and Belgium. Randomization was performed by a centralized online randomization service. Patients were seen every 12 weeks until week 145. Outcome assessors were blinded. We collected data on drug survival, effectiveness, safety, pharmacokinetics and immunogenicity of patients that started ADL combined with MTX compared to ADL monotherapy. We present descriptive analysis and patients were analysed according to the group initially randomized to. Patients becoming non-adherent to the biologic were excluded from analyses. RESULTS: Sixty-one patients were included and 37 patients (ADL group n = 17, ADL + MTX group n = 20) continued in the follow-up study after 1 year. After 109 weeks and 145 weeks, there was a trend towards longer drug survival in the ADL + MTX group compared to the ADL group (week 109: 54.8% vs. 41.4%; p = 0.326, week 145: 51.6% vs. 41.4%; p = 0.464). At week 145, 7/13 patients were treated with MTX. In the ADL group, 4/12 patients that completed the study developed ADA, and 3/13 in the ADL + MTX group. CONCLUSIONS: In this small study, there was no significant difference in ADL overall drug survival when it was initially combined with MTX, compared to ADL alone. Discontinuation due to adverse events was common in the combination group. To secure accessible healthcare, combination treatment of ADL and MTX can be considered in individual patients.

Global disparities in prescription of guideline-recommended drugs for heart failure with reduced ejection fraction.

BACKGROUND: Heart failure (HF) is a global challenge, with lower- and middle-income countries (LMICs) carrying a large share of the burden. Treatment for HF with reduced ejection fraction (HFrEF) improves survival but is often underused. Economic factors might have an important effect on the use of medicines. METHODS AND RESULTS: This analysis assessed prescription rates and doses of renin-angiotensin system (RAS) inhibitors, ß-blockers, and mineralocorticoid receptor antagonists at discharge and 6-month follow-up in 8669 patients with HFrEF (1458 from low-, 3363 from middle-, and 3848 from high-income countries) hospitalized for acute HF in 44 countries in the prospective REPORT-HF study. We investigated determinants of guideline-recommended treatments and their association with 1-year mortality, correcting for treatment indication bias.Only 37% of patients at discharge and 34% of survivors at 6 months were on all three medication classes, with lower proportions in LMICs than high-income countries (19 vs. 41% at discharge and 15 vs. 37% at 6 months). Women and patients without health insurance, or from LMICs, or without a scheduled medical follow-up within 6 months of discharge were least likely to be on guideline-recommended medical therapy at target doses, independent of confounders. Being on ≥50% of guideline-recommended doses of RAS inhibitors, and ß-blockers were independently associated with better 1-year survival, regardless of country income level. CONCLUSION: Patients with HFrEF in LMICs are less likely to receive guideline-recommended drugs at target doses. Improved access to medications and medical care could reduce international disparities in outcome.

A global perspective of racial differences and outcomes in patients presenting with acute heart failure.

Important racial differences in characteristics, treatment, and outcomes of patients with acute heart failure (AHF) have been described. The objective of this analysis of the International Registry to assess medical Practice with longitudinal observation for Treatment of Heart Failure (REPORT-HF) registry was to investigate racial differences in patients with AHF according to country income level.

Left atrial structure and function in heart failure with reduced (HFrEF) versus preserved ejection fraction (HFpEF): systematic review and meta-analysis.

Left atrial (LA) structure and function in heart failure with reduced (HFrEF) versus preserved ejection fraction (HFpEF) is only established in small studies. Therefore, we conducted a systematic review of LA structure and function in order to find differences between patients with HFrEF and HFpEF. English literature on LA structure and function using echocardiography was reviewed to calculate pooled prevalence and weighted mean differences (WMD). A total of 61 studies, comprising 8806 patients with HFrEF and 9928 patients with HFpEF, were included. The pooled prevalence of atrial fibrillation (AF) was 34.4% versus 42.8% in the acute inpatient setting, and 20.1% versus 33.1% in the chronic outpatient setting when comparing between HFrEF and HFpEF. LA volume index (LAVi), LA reservoir global longitudinal strain (LAGLSR), and E/e' was 59.7 versus 52.7 ml/m2, 9.0% versus 18.9%, and 18.5 versus 14.0 in the acute inpatient setting, and 48.3 versus 38.2 ml/m2, 12.8% versus 23.4%, and 16.9 versus 13.5 in the chronic outpatient setting when comparing HFrEF versus HFpEF, respectively. The relationship between LAVi and LAGLSR was significant in HFpEF, but not in HFrEF. Also, in those studies that directly compared patients with HFrEF versus HFpEF, those with HFrEF had worse LAGLSR [WMD = 16.3% (22.05,8.61); p < 0.001], and higher E/e' [WMD = -0.40 (-0.56, -0.24); p < 0.05], while LAVi was comparable. When focusing on acute hospitalized patients, E/e' was comparable between patients with HFrEF and HFpEF. Despite the higher burden of AF in HFpEF, patients with HFrEF had worse LA global function. Left atrial myopathy is not specifically related to HFpEF.

Identifying optimal doses of heart failure medications in men compared with women: a prospective, observational, cohort study.

BACKGROUND: Guideline-recommended doses of angiotensin-converting-enzyme (ACE) inhibitors or angiotensin-receptor blockers (ARBs), and ß blockers are similar for men and women with heart failure with reduced ejection fraction (HFrEF), even though there are known sex differences in pharmacokinetics of these drugs. We hypothesised that there might be sex differences in the optimal dose of ACE inhibitors or ARBs and ß blockers in patients with HFrEF. METHODS: We did a post-hoc analysis of BIOSTAT-CHF, a prospective study in 11 European countries of patients with heart failure in whom initiation and up-titration of ACE inhibitors or ARBs and ß blockers was encouraged by protocol. We included only patients with left ventricular ejection fraction less than 40%, and excluded those who died within the first 3 months. Primary outcome was a composite of time to all-cause mortality or hospitalisation for heart failure. Findings were validated in ASIAN-HF, an independent cohort of 3539 men and 961 women with HFrEF. FINDINGS: Among 1308 men and 402 women with HFrEF from BIOSTAT-CHF, women were older (74 [12] years vs 70 [12] years, p<0·0001) and had lower bodyweights (72 [16] kg vs 85 [18] kg, p<0·0001) and heights (162 [7] cm vs 174 [8] cm, p<0·0001) than did men, although body-mass index did not differ significantly. A similar number of men and women reached guideline-recommended target doses of ACE inhibitors or ARBs (99 [25%] vs 304 [23%], p=0·61) and ß blockers (57 [14%] vs 168 [13%], p=0·54). In men, the lowest hazards of death or hospitalisation for heart failure occurred at 100% of the recommended dose of ACE inhibitors or ARBs and ß blockers, but women showed approximately 30% lower risk at only 50% of the recommended doses, with no further decrease in risk at higher dose levels. These sex differences were still present after adjusting for clinical covariates, including age and body surface area. In the ASIAN-HF registry, similar patterns were observed for both ACE inhibitors or ARBs and ß blockers, with women having approximately 30% lower risk at 50% of the recommended doses, with no further benefit at higher dose levels. INTERPRETATION: This study suggests that women with HFrEF might need lower doses of ACE inhibitors or ARBs and ß blockers than men, and brings into question what the true optimal medical therapy is for women versus men. FUNDING: European Commission.

Multimorbidity in patients with heart failure from 11 Asian regions: A prospective cohort study using the ASIAN-HF registry.

BACKGROUND: Comorbidities are common in patients with heart failure (HF) and complicate treatment and outcomes. We identified patterns of multimorbidity in Asian patients with HF and their association with patients' quality of life (QoL) and health outcomes. METHODS AND FINDINGS: We used data on 6,480 patients with chronic HF (1,204 with preserved ejection fraction) enrolled between 1 October 2012 and 6 October 2016 in the Asian Sudden Cardiac Death in Heart Failure (ASIAN-HF) registry. The ASIAN-HF registry is a prospective cohort study, with patients prospectively enrolled from in- and outpatient clinics from 11 Asian regions (Hong Kong, Taiwan, China, Japan, Korea, India, Malaysia, Thailand, Singapore, Indonesia, and Philippines). Latent class analysis was used to identify patterns of multimorbidity. The primary outcome was defined as a composite of all-cause mortality or HF hospitalization within 1 year. To assess differences in QoL, we used the Kansas City Cardiomyopathy Questionnaire. We identified 5 distinct multimorbidity groups: elderly/atrial fibrillation (AF) (N = 1,048; oldest, more AF), metabolic (N = 1,129; obesity, diabetes, hypertension), young (N = 1,759; youngest, low comorbidity rates, non-ischemic etiology), ischemic (N = 1,261; ischemic etiology), and lean diabetic (N = 1,283; diabetic, hypertensive, low prevalence of obesity, high prevalence of chronic kidney disease). Patients in the lean diabetic group had the worst QoL, more severe signs and symptoms of HF, and the highest rate of the primary combined outcome within 1 year (29% versus 11% in the young group) (p for all <0.001). Adjusting for confounders (demographics, New York Heart Association class, and medication) the lean diabetic (hazard ratio [HR] 1.79, 95% CI 1.46-2.22), elderly/AF (HR 1.57, 95% CI 1.26-1.96), ischemic (HR 1.51, 95% CI 1.22-1.88), and metabolic (HR 1.28, 95% CI 1.02-1.60) groups had higher rates of the primary combined outcome compared to the young group. Potential limitations include site selection and participation bias. CONCLUSIONS: Among Asian patients with HF, comorbidities naturally clustered in 5 distinct patterns, each differentially impacting patients' QoL and health outcomes. These data underscore the importance of studying multimorbidity in HF and the need for more comprehensive approaches in phenotyping patients with HF and multimorbidity. TRIAL REGISTRATION: ClinicalTrials.gov NCT01633398.

Correction: Multimorbidity in patients with heart failure from 11 Asian regions: A prospective cohort study using the ASIAN-HF registry.

[This corrects the article DOI: 10.1371/journal.pmed.1002541.].

The Risk of Keratinocyte Cancer in Vitiligo and the Potential Mechanisms Involved.

Although light skin types are associated with increased skin cancer risk, a lower incidence of both melanoma and nonmelanoma skin cancer (NMSC) has been reported in patients with vitiligo. We performed a systematic review and meta-analysis on the NMSC risk in patients with vitiligo, indicating a reduced relative risk ratio of NMSC in vitiligo. Furthermore, we propose a series of hypotheses on the underlying mechanisms, including both immune-mediated and nonimmune-mediated pathways. This study reveals insights into the relationship between vitiligo and keratinocyte cancer and can also be used to better inform patients with vitiligo.

Digital tools in heart failure: addressing unmet needs.

This Series paper provides an overview of digital tools in heart failure care, encompassing screening, early diagnosis, treatment initiation and optimisation, and monitoring, and the implications these tools could have for research. The current medical environment favours the implementation of digital tools in heart failure due to rapid advancements in technology and computing power, unprecedented global connectivity, and the paradigm shift towards digitisation. Despite available effective therapies for heart failure, substantial inadequacies in managing the condition have hindered improvements in patient outcomes, particularly in low-income and middle-income countries. As digital health tools continue to evolve and exert a growing influence on both clinical care and research, establishing clinical frameworks and supportive ecosystems that enable their effective use on a global scale is crucial.

Clinical and proteomic profiles of chronic kidney disease in heart failure with reduced and preserved ejection fraction.

BACKGROUND: Chronic kidney disease (CKD) is prevalent and related to poor clinical outcomes in patients with heart failure (HF). The pathophysiology of CKD in HF with a reduced ejection fraction (HFrEF) and HF with a preserved ejection fraction (HFpEF) is not well defined. In this study we compared clinical and proteomic profiles of CKD between patients with HFrEF and HFpEF. METHODS: We included 478 patients of the Scottish BIOSTAT-CHF cohort, of which 246 had HFrEF and 232 had HFpEF. CKD was defined as an eGFR <60 mL/min/1.73m2. We compared HFrEF-patients with CKD to HFpEF-patients with CKD using logistic- and Cox-regression. We performed a differential expression analysis using 6376 proteins. RESULTS: The prevalence of CKD was 36 % and 32 % in patients with HFpEF and HFrEF, respectively. CKD patients were on average 7 years older. BMI, higher NT-proBNP, ACE-inhibitors, HDL-cholesterol and Stroke were associated with CKD- patients with HFrEF. In HFpEF, CKD was associated with MRA-use and higher platelet count. CKD was associated with increased risk of death or heart failure hospitalization (HR 1.82, p < 0.001), with similar effect in HFrEF and HFpEF. The pattern of differentially expressed proteins between patients with and without CKD was similar in both HF-groups. CONCLUSION: Clinical profiles related to CKD- patients with HFrEF were different from CKD-patients with HFrEF. CKD was associated with an increased risk of death or heart failure hospitalization, which was not different between HFpEF and HFrEF. Patterns of circulating proteins were similar between CKD-patients with HFpEF and HFrEF, suggesting no major differences in CKD-pathophysiology.

Longitudinal NT-proBNP: Associations With Echocardiographic Changes and Outcomes in Heart Failure.

BACKGROUND: The relationship of serial NT-proBNP (N-terminal pro-B-type natriuretic peptide) measurements with changes in cardiac features and outcomes in heart failure (HF) remains incompletely understood. We determined whether common clinical covariates impact these relationships. METHODS AND RESULTS: In 2 nationwide observational populations with HF, the relationship of serial NT-proBNP measurements with serial echocardiographic parameters and outcomes was analyzed, further stratified by HF with reduced versus preserved left ventricular ejection fraction, inpatient versus outpatient enrollment, age, obesity, chronic kidney disease, atrial fibrillation, and attainment of ≥50% guideline-recommended doses of renin-angiotensin system inhibitors and ß-blockers. Among 1911 patients (mean±SD age, 65.1±13.4 years; 26.6% women; 62% inpatient and 38% outpatient), NT-proBNP declined overall, with more rapid declines among inpatients, those with obesity, those with atrial fibrillation, and those attaining ≥50% guideline-recommended doses. Each doubling of NT-proBNP was associated with increases in left ventricular volume (by 6.1 mL), E/e' (transmitral to mitral annular early diastolic velocity ratio) (by 1.4 points), left atrial volume (by 3.6 mL), and reduced left ventricular ejection fraction (by -2.1%). The effect sizes of these associations were lower among patients with HF with preserved ejection fraction, atrial fibrillation, or advanced age (Pinteraction<0.001). A landmark analysis identified that an SD increase in NT-proBNP over 6 months was associated with a 27% increase in the risk of the composite event of HF hospitalization or all-cause death between 6 months and 2 years (adjusted hazard ratio, 1.27 [95% CI, 1.15-1.40]; P<0.001). CONCLUSIONS: The relationships between NT-proBNP and structural/functional remodeling differed by age, presence of atrial fibrillation, and HF phenotypes. The association of increased NT-proBNP with increased risk of adverse outcomes was consistent in all subgroups.

External validation of a deep learning algorithm for automated echocardiographic strain measurements.

Aims: Echocardiographic strain imaging reflects myocardial deformation and is a sensitive measure of cardiac function and wall-motion abnormalities. Deep learning (DL) algorithms could automate the interpretation of echocardiographic strain imaging. Methods and results: We developed and trained an automated DL-based algorithm for left ventricular (LV) strain measurements in an internal dataset. Global longitudinal strain (GLS) was validated externally in (i) a real-world Taiwanese cohort of participants with and without heart failure (HF), (ii) a core-lab measured dataset from the multinational prevalence of microvascular dysfunction-HF and preserved ejection fraction (PROMIS-HFpEF) study, and regional strain in (iii) the HMC-QU-MI study of patients with suspected myocardial infarction. Outcomes included measures of agreement [bias, mean absolute difference (MAD), root-mean-squared-error (RMSE), and Pearson's correlation (R)] and area under the curve (AUC) to identify HF and regional wall-motion abnormalities. The DL workflow successfully analysed 3741 (89%) studies in the Taiwanese cohort, 176 (96%) in PROMIS-HFpEF, and 158 (98%) in HMC-QU-MI. Automated GLS showed good agreement with manual measurements (mean ± SD): -18.9 ± 4.5% vs. -18.2 ± 4.4%, respectively, bias 0.68 ± 2.52%, MAD 2.0 ± 1.67, RMSE = 2.61, R = 0.84 in the Taiwanese cohort; and -15.4 ± 4.1% vs. -15.9 ± 3.6%, respectively, bias -0.65 ± 2.71%, MAD 2.19 ± 1.71, RMSE = 2.78, R = 0.76 in PROMIS-HFpEF. In the Taiwanese cohort, automated GLS accurately identified patients with HF (AUC = 0.89 for total HF and AUC = 0.98 for HF with reduced ejection fraction). In HMC-QU-MI, automated regional strain identified regional wall-motion abnormalities with an average AUC = 0.80. Conclusion: DL algorithms can interpret echocardiographic strain images with similar accuracy as conventional measurements. These results highlight the potential of DL algorithms to democratize the use of cardiac strain measurements and reduce time-spent and costs for echo labs globally.

Distinguishing heart failure with reduced ejection fraction from heart failure with preserved ejection fraction: A phenomics approach.

AIM: Pathophysiological differences between patients with heart failure with preserved (HFpEF) and reduced (HFrEF) ejection fraction (EF) remain unclear. Therefore we used a phenomics approach, integrating selected proteomics data with patient characteristics and cardiac structural and functional parameters, to get insight into differential pathophysiological mechanisms and identify potential treatment targets. METHODS AND RESULTS: We report data from a representative subcohort of the prospective Singapore Heart Failure Outcomes and Phenotypes (SHOP), including patients with HFrEF (EF <40%, n = 217), HFpEF (EF ≥50%, n = 213), and age- and sex-matched controls without HF (n = 216). We measured 92 biomarkers using a proximity extension assay and assessed cardiac structure and function in all participants using echocardiography. We used multi-block projection to latent structure analysis to integrate clinical, echocardiographic, and biomarker variables. Candidate biomarker targets were cross-referenced with small-molecule and drug databases. The total cohort had a median age of 65 years (interquartile range 60-71), and 50% were women. Protein profiles strongly discriminated patients with HFrEF (area under the curve [AUC] = 0.89) and HFpEF (AUC = 0.94) from controls. Phenomics analyses identified unique druggable inflammatory markers in HFpEF from the tumour necrosis factor receptor superfamily (TNFRSF), which were positively associated with hypertension, diabetes, and increased posterior and relative wall thickness. In HFrEF, interleukin (IL)-8 and IL-6 were possible targets related to lower EF and worsening renal function. CONCLUSION: We identified pathophysiological mechanisms related to increased cardiac wall thickness parameters and potentially druggable inflammatory markers from the TNFRSF in HFpEF.

The limited value of sentinel lymph node biopsy in lentigo maligna melanoma: A nomogram based on the results of 29 years of the nationwide dutch pathology registry (PALGA).

BACKGROUND: Lentigo maligna melanoma (LMM) predominantly presents in the head and neck of the elderly. The value of sentinel lymph node biopsy (SLNB) for LMM patients remains to be determined, as the reported average yield of positive lymph nodes is less than 10%. In this nationwide cohort study, we wanted to identify LMM patients with an increased risk of SLNB-positivity. METHODS: LMM with an SLNB indication according to the 8th AJCC melanoma guidelines were retrospectively identified from the nationwide network and registry of histo- and cytopathology in the Netherlands (PALGA). A penalized (LASSO) logistic regression analysis was performed to determine the optimal combination of clinicopathological factors to predict a positive SLNB. RESULTS: Between 1991 and 2020, 1989 LMM patients met our inclusion criteria. SLNB was performed in 16.7% (n = 333) and was positive in 7.5% (25/333). The false-negative rate was 21.9%. Clinically detectable regional lymph node (LN) metastases were found in 1.3% (n = 25). Clinicopathological characteristics best predictive for SLNB-positivity (Odds ratio; 95% CI) were age (0.95; 0.91-0.99), ulceration 1.59 (0.44-4.83), T4-stage (1.81; 0.43-6.2), male sex (1.97; 0.79-5.27), (lymph)angioinvasion (5.07; 0.94-23.31), and microsatellites (7.23; 1.56-32.7) (C-statistic 0.75). During follow-up, regional LN recurrences were detected in 4.2% (83/1989) of patients, of which the majority (74/83) had no evidence of regional LN metastases at baseline. CONCLUSION: Our findings confirm the limited SLNB-positivity in LMM patients. Based on the identified high-risk clinicopathological features, a nomogram was developed to predict the risk of a positive SLNB.

Patient-Reported Versus Physician-Assessed Health Status in Heart Failure With Reduced and Preserved Ejection Fraction From ASIAN-HF Registry.

BACKGROUND: We aimed to assess if discordance between patient-reported Kansas City Cardiomyopathy Questionnaire (KCCQ)-overall summary (os) score and physician-assessed New York Heart Association (NYHA) class is common among patients with heart failure (HF) with reduced or preserved ejection fraction, and determine its association with outcomes. METHODS: A total of 4818 patients with HF were classified according to KCCQ-os score (range 0-100, dichotomized by median value 71.9 into high [good] versus low [bad]) and NYHA class (I/II [good] or III/IV [bad]) as concordant good (low NYHA class, high KCCQ-os score), concordant bad (high NYHA class, low KCCQ-os score), discordant worse NYHA class (high NYHA class, high KCCQ-os score), and discordant worse KCCQ-os score (low NYHA class, low-KCCQ-os score). The composite of HF hospitalization or death at 1 year was compared across groups. RESULTS: There were 2070 (43.0%) concordant good, 1099 (22.8%) concordant bad, 331 (6.9%) discordant worse NYHA class, and 1318 (27.4%) discordant worse KCCQ-os score patients. Compared with concordant good, adverse outcomes were the highest in concordant bad (HR, 2.7 [95% CI, 2.2-3.5]) followed by discordant worse KCCQ-os score (HR, 1.8 [95% CI, 1.4-2.2]) and discordant worse NYHA class (HR, 1.5 [95% CI, 1.0-2.3]); with no modification by HF phenotype (preserved versus reduced ejection fraction, Pinteraction=0.52). At 6 months, 1403 (48%) experienced clinically significant improvement in KCCQ-os score (≥5 points increase over 6 months). Patients with improved KCCQ-os at 6 months (HR, 0.65 [95% CI, 0.47-0.92]) had better outcomes and the association was not modified by HF phenotype (Pinteraction=0.40). CONCLUSIONS: One-third of patients with HF had discordance between patient-reported and clinician-assessed health status, largely attributable to worse patient-reported outcomes. Such discordance, particularly in those with discordantly worse KCCQ, should alert physicians to an increased risk of HF hospitalization and death, and prompt further assessment for potential drivers of worse patient-reported outcomes relative to physicians' assessment.

Fully Automated Artificial Intelligence Assessment of Aortic Stenosis by Echocardiography.

BACKGROUND: Aortic stenosis (AS) is a common form of valvular heart disease, present in over 12% of the population age 75 years and above. Transthoracic echocardiography (TTE) is the first line of imaging in the adjudication of AS severity but is time-consuming and requires expert sonographic and interpretation capabilities to yield accurate results. Artificial intelligence (AI) technology has emerged as a useful tool to address these limitations but has not yet been applied in a fully hands-off manner to evaluate AS. Here, we correlate artificial neural network measurements of key hemodynamic AS parameters to experienced human reader assessment. METHODS: Two-dimensional and Doppler echocardiographic images from patients with normal aortic valves and all degrees of AS were analyzed by an artificial neural network (Us2.ai) with no human input to measure key variables in AS assessment. Trained echocardiographers blinded to AI data performed manual measurements of these variables, and correlation analyses were performed. RESULTS: Our cohort included 256 patients with an average age of 67.6 ± 9.5 years. Across all AS severities, AI closely matched human measurement of aortic valve peak velocity (r = 0.97, P < .001), mean pressure gradient (r = 0.94, P < .001), aortic valve area by continuity equation (r = 0.88, P < .001), stroke volume index (r = 0.79, P < .001), left ventricular outflow tract velocity-time integral (r = 0.89, P < .001), aortic valve velocity-time integral (r = 0.96, P < .001), and left ventricular outflow tract diameter (r = 0.76, P < .001). CONCLUSIONS: Artificial neural networks have the capacity to closely mimic human measurement of all relevant parameters in the adjudication of AS severity. Application of this AI technology may minimize interscan variability, improve interpretation and diagnosis of AS, and allow for precise and reproducible identification and management of patients with AS.