Randomized comparison of the effects of tailored text messaging versus pillbox organizers on medication adherence of heart failure patients.

BACKGROUND: Heart failure (HF) is a major public health issue worldwide, affecting approximately 64.3 million people in 2017. Non-adherence to medication is a common and serious issue in the management of HF. However, new reminder systems utilizing mobile technology, such as text messaging, have shown promise in improving medication adherence. The purpose of this study was to compare the impact of tailored text messaging (TTM) and pillbox organizers on medication adherence in individuals with HF. METHODS: A randomized controlled trial was conducted, involving 189 eligible patients with HF who were randomly assigned to either the TTM, pillbox organizer, or control group. Medication adherence was evaluated using pill counting and the Medication Adherence Rating Scale (MARS) over a period of three months and compared across the groups. The data were analyzed using Kruskal-Wallis, Analysis of Variance (ANOVA), and Repeated Measures ANOVA tests. RESULTS: The results indicate that both the TTM and pillbox organizers groups had significantly higher medication adherence compared to the control group, as measured by pill counting (MD = 0.05, 95%CI = 0.03-0.06; p < 0.001 for TTM group, MD = 0.04, 95%CI = 0.03-0.06; p < 0.001 for pillbox organizers group) and the MARS (MD = 1.32, 95%CI = 0.93 to 1.72; p < 0.001 for TTM group, MD = 1.33, 95%CI = 0.95 to 1.72; p < 0.001 for pillbox organizers group). However, there was no statistically significant difference in medication adherence between the two intervention groups using either measurement method. The TTM group exhibited a lower hospitalization rate than the other groups in the first follow up (p = 0.016). CONCLUSIONS: Both the TTM and pillbox organizers were shown to be effective in enhancing medication adherence among patients with HF. Therefore, healthcare providers should take into account the patient's condition and preferences when selecting one of these methods to promote medication adherence. Future research should aim to address the limitations of this study, such as controlling for confounding variables, considering long-term effects, and comparing the effectiveness of different interventions.

Association between triglyceride glucose-body mass index and long-term adverse outcomes of heart failure patients with coronary heart disease.

BACKGROUND: The triglyceride glucose-body mass index (TyG-BMI) is recognized as a reliable surrogate for evaluating insulin resistance and an effective predictor of cardiovascular disease. However, the link between TyG-BMI index and adverse outcomes in heart failure (HF) patients remains unclear. This study examines the correlation of the TyG-BMI index with long-term adverse outcomes in HF patients with coronary heart disease (CHD). METHODS: This single-center, prospective cohort study included 823 HF patients with CHD. The TyG-BMI index was calculated as follows: ln [fasting triglyceride (mg/dL) × fasting blood glucose (mg/dL)/2] × BMI. To explore the association between the TyG-BMI index and the occurrences of all-cause mortality and HF rehospitalization, we utilized multivariate Cox regression models and restricted cubic splines with threshold analysis. RESULTS: Over a follow-up period of 9.4 years, 425 patients died, and 484 were rehospitalized due to HF. Threshold analysis revealed a significant reverse "J"-shaped relationship between the TyG-BMI index and all-cause mortality, indicating a decreased risk of all-cause mortality with higher TyG-BMI index values below 240.0 (adjusted model: HR 0.90, 95% CI 0.86-0.93; Log-likelihood ratio p = 0.003). A distinct "U"-shaped nonlinear relationship was observed with HF rehospitalization, with the inflection point at 228.56 (adjusted model: below: HR 0.95, 95% CI 0.91-0.98; above: HR 1.08, 95% CI 1.03-1.13; Log-likelihood ratio p < 0.001). CONCLUSIONS: This study reveals a nonlinear association between the TyG-BMI index and both all-cause mortality and HF rehospitalization in HF patients with CHD, positioning the TyG-BMI index as a significant prognostic marker in this population.

Differences in provider approach to initiating and titrating guideline directed medical therapy in heart failure with reduced ejection fraction.

BACKGROUND: Despite the strong evidence supporting guideline-directed medical therapy (GDMT) in patients with heart failure with reduced ejection fraction (HFrEF), prescription rates in clinical practice are still lacking. METHODS: A survey containing 20 clinical vignettes of patients with HFrEF was answered by a national sample of 127 cardiologists and 68 internal/family medicine physicians. Each vignette had 4-5 options for adjusting GDMT and the option to make no medication changes. Survey respondents could only select one option. For analysis, responses were dichotomized to the answer of interest. RESULTS: Cardiologists were more likely to make GDMT changes than general medicine physicians (91.8% vs. 82.0%; OR 1.84 [1.07-3.19]; p = 0.020). Cardiologists were more likely to initiate beta-blockers (46.3% vs. 32.0%; OR 2.38 [1.18-4.81], p = 0.016), angiotensin receptor blocker/neprilysin inhibitor (ARNI) (63.8% vs. 48.1%; OR 1.76 [1.01-3.09], p = 0.047), and hydralazine and isosorbide dinitrate (HYD/ISDN) (38.2% vs. 23.7%; OR 2.47 [1.48-4.12], p < 0.001) compared to general medicine physicians. No differences were found in initiating angiotensin-converting enzyme inhibitor/angiotensin receptor blocker (ACEi/ARBs), initiating mineralocorticoid receptor antagonist (MRA), sodium-glucose transporter protein 2 (SGLT2) inhibitors, digoxin, or ivabradine. CONCLUSIONS: Our results demonstrate cardiologists were more likely to adjust GDMT than general medicine physicians. Future focus on improving GDMT prescribing should target providers other than cardiologists to improve care in patients with HFrEF.

Self-care behavior and associated factors among adult heart failure patients in outpatient cardiac follow-up unit at Wachemo University Nigist Eleni Comprehensive Specialized Hospital, Southern Ethiopia.

BACKGROUND: Heart failure is a serious medical condition that occurs when the heart is unable to pump sufficient blood to meet the needs of the tissues. Good self-care is an essential behavior in long term management and maintenance of physiologic stability, better medical and person-centered outcomes. Poor self-care behavior deteriorates the outcomes of heart failure patients. However, there were no sufficient evidences that illustrate the topic in the country, including the study area. METHODOLOGY: Institutional based cross-sectional study was conducted among 250 heart failure patients from July 5-August 4, 2021. All adult heart failure patients who fulfill the inclusion criteria and have appointment during study period were included in the study. Interview and medical chart review was used to collect data. Epidata version 3.1 and SPSS version 20 were used for data entry and analysis respectively. Bivariate and multivariable analysis was computed. The model fitness was checked by Hosmer and Lemeshow test. RESULTS: From the total patients, 240 were interviewed with the response rate of 96%. Among these, 140(58.3%) [95% CI: 52.6, 64.9] had poor self-care behavior. Age>54: 9.891 [2.228, 43.922], poor knowledge: 6.980[1.065, 45.727], depression: 4.973[1.107, 22.338], low social support: 6.060[1.373, 26.739], insomnia: 4.801[1.019, 22.622] and duration with heart failure <1 year: 5.782[1.438, 23.247] were factors associated with poor self-care behavior. CONCLUSION: In this study, more than half of participants attending at Wachemo University Nigist Eleni Comprehensive Specialized Hospital in outpatient cardiac follow-up unit had poor self-care behavior. Of the study variables, older age, poor knowledge, depressive symptoms, low social support, insomnia and short duration with heart failure were related with poor self-care behavior. Thus, the findings highlight importance of assessing level of self-care behavior and implicate direction to take action to enhance level of self-care behavior.

Bovine medicine: Whats´s your diagnosis?

INTRODUCTION: Two Angus calves housed in the Swiss Alps for two months were presented with brisket edema, jugular distension, and diarrhea. Hematological and biochemical examination included elevated concentration of erythrocytes and increased activity of liver enzymes. Ultrasonography revealed small amount of pleural effusion hepatomegaly and congested caudal vena cava. The diagnosis of congestive heart failure secondary to high-altitude disease was confirmed in pathology.

INTRODUCTION: Deux veaux Angus alpés dans les Alpes suisses depuis deux mois ont été présentés avec un œdème du poitrail, une stase jugulaire et de la diarrhée. Les examens hématologiques et biochimiques ont révélé une concentration élevée d'érythrocytes ainsi qu'une augmentation de l'activité des enzymes hépatiques. L'échographie a révélé un petit épanchement pleural, une hépatomégalie et une veine cave caudale congestionnée. Le diagnostic d'insuffisance cardiaque congestive secondaire à un mal des montagnes a été confirmé par la pathologie.

Prediction of heart failure patients with distinct left ventricular ejection fraction levels using circadian ECG features and machine learning.

Heart failure (HF) encompasses a diverse clinical spectrum, including instances of transient HF or HF with recovered ejection fraction, alongside persistent cases. This dynamic condition exhibits a growing prevalence and entails substantial healthcare expenditures, with anticipated escalation in the future. It is essential to classify HF patients into three groups based on their ejection fraction: reduced (HFrEF), mid-range (HFmEF), and preserved (HFpEF), such as for diagnosis, risk assessment, treatment choice, and the ongoing monitoring of heart failure. Nevertheless, obtaining a definitive prediction poses challenges, requiring the reliance on echocardiography. On the contrary, an electrocardiogram (ECG) provides a straightforward, quick, continuous assessment of the patient's cardiac rhythm, serving as a cost-effective adjunct to echocardiography. In this research, we evaluate several machine learning (ML)-based classification models, such as K-nearest neighbors (KNN), neural networks (NN), support vector machines (SVM), and decision trees (TREE), to classify left ventricular ejection fraction (LVEF) for three categories of HF patients at hourly intervals, using 24-hour ECG recordings. Information from heterogeneous group of 303 heart failure patients, encompassing HFpEF, HFmEF, or HFrEF classes, was acquired from a multicenter dataset involving both American and Greek populations. Features extracted from ECG data were employed to train the aforementioned ML classification models, with the training occurring in one-hour intervals. To optimize the classification of LVEF levels in coronary artery disease (CAD) patients, a nested cross-validation approach was employed for hyperparameter tuning. HF patients were best classified using TREE and KNN models, with an overall accuracy of 91.2% and 90.9%, and average area under the curve of the receiver operating characteristics (AUROC) of 0.98, and 0.99, respectively. Furthermore, according to the experimental findings, the time periods of midnight-1 am, 8-9 am, and 10-11 pm were the ones that contributed to the highest classification accuracy. The results pave the way for creating an automated screening system tailored for patients with CAD, utilizing optimal measurement timings aligned with their circadian cycles.

Heart Transplantation in a Patient With Rheumatic Heart Disease and Severe Left Atrial Calcification.

A 62-year-old woman who had undergone mitral valve replacement 24 years ago was admitted to the hospital with congestive heart failure. She needed heart transplantation for stage D heart failure. Preoperative cardiac computed tomographic scans showed a severely calcified left atrium and a large right atrium. Given that the left atrium's calcification was too severe to suture, the calcified left atrial wall was broadly resected, and the resected left atrial wall was reconstructed with a bovine pericardial patch for anastomosis with the donor's left atrial wall. The operation was completed without heavy bleeding, and the patient was discharged from the hospital with no complications.

High Variability of Body Mass Index Is Independently Associated With Incident Heart Failure.

BACKGROUND: Heart failure (HF) is a serious condition with increasing prevalence, high morbidity, and increased mortality. Obesity is an established risk factor for HF. Fluctuation in body mass index (BMI) has shown a higher risk of cardiovascular outcomes. We investigated the association between BMI variability and incident HF. METHODS AND RESULTS: In the UK Biobank, we established a prospective cohort after excluding participants with prevalent HF or cancer at enrollment. A total of 99 368 White participants with ≥3 BMI measures during >2 years preceding enrollment were included, with a median follow-up of 12.5 years. The within-participant variability of BMI was evaluated using standardized SD and coefficient of variation. The association of BMI variability with incident HF was assessed using Fine and Gray's competing risk model, adjusting for confounding factors and participant-specific rate of BMI change. Higher BMI variability measured in both SD and coefficient of variation was significantly associated with higher risk in HF incidence (SD: hazard ratio [HR], 1.05 [95% CI, 1.03-1.08], P<0.0001; coefficient of variation: HR, 1.07 [95% CI, 1.04-1.10], P<0.0001). CONCLUSIONS: Longitudinal health records capture BMI fluctuation, which independently predicts HF incidence.

Prediction of adverse cardiovascular events in children using artificial intelligence-based electrocardiogram.

BACKGROUND: Convolutional neural networks (CNNs) have emerged as a novel method for evaluating heart failure (HF) in adult electrocardiograms (ECGs). However, such CNNs are not applicable to pediatric HF, where abnormal anatomy of congenital heart defects plays an important role. ECG-based CNNs reflecting neurohormonal activation (NHA) may be a useful marker of pediatric HF. This study aimed to develop and validate an ECG-derived marker of pediatric HF that reflects the risk of future cardiovascular events. METHODS: Based on 21,378 ECGs from 8324 children, a CNN was trained using B-type natriuretic peptide (BNP) and the occurrence of major adverse cardiovascular events (MACEs). The output of the model, or the electrical heart failure indicator (EHFI), was compared with the BNP regarding its ability to predict MACEs in 813 ECGs from 295 children. RESULTS: EHFI achieved a better area under the curve than BNP in predicting MACEs within 180 days (0.826 versus 0.691, p = 0.03). On Cox univariable analyses, both EHFI and BNP were significantly associated with MACE (log10 EHFI: hazard ratio [HR] = 16.5, p < 0.005 and log10 BNP: HR = 4.4, p < 0.005). The time-dependent average precisions of EHFI in predicting MACEs were 32.4%-67.9% and 1.6-7.5-fold higher than those of BNP in the early period. Additionally, the MACE rate increased monotonically with EHFI, whereas the rate peaked at approximately 100 pg/mL of BNP and decreased in the higher range. CONCLUSIONS: ECG-derived CNN is a novel marker of HF with different prognostic potential from BNP. CNN-based ECG analysis may provide a new guide for assessing pediatric HF.

Predictors of heart failure readmission and all-cause mortality in patients with acute heart failure.

BACKGROUND: Predischarge risk stratification of patients with acute heart failure (AHF) could facilitate tailored treatment and follow-up, however, simple scores to predict short-term risk for HF readmission or death are lacking. METHODS: We sought to develop a congestion-focused risk score using data from a prospective, two-center observational study in adults hospitalized for AHF. Laboratory data were collected on admission. Patients underwent physical examination, 4-zone, and in a subset 8-zone, lung ultrasound (LUS), and echocardiography at baseline. A second LUS was performed before discharge in a subset of patients. The primary endpoint was the composite of HF hospitalization or all-cause death. RESULTS: Among 350 patients (median age 75 years, 43% women), 88 participants (25%) were hospitalized or died within 90 days after discharge. A stepwise Cox regression model selected four significant independent predictors of the composite outcome, and each was assigned points proportional to its regression coefficient: NT-proBNP ≥2000 pg/mL (admission) (3 points), systolic blood pressure < 120 mmHg (baseline) (2 points), left atrial volume index ≥60 mL/m2 (baseline) (1 point) and ≥ 9 B-lines on predischarge 4-zone LUS (3 points). This risk score provided adequate risk discrimination for the composite outcome (HR 1.48 per 1 point increase, 95% confidence interval: 1.32-1.67, p < 0.001, C-statistic: 0.70). In a subset of patients with 8-zone LUS data (n = 176), results were similar (C-statistic: 0.72). CONCLUSIONS: A four-variable risk score integrating clinical, laboratory and ultrasound data may provide a simple approach for risk discrimination for 90-day adverse outcomes in patients with AHF if validated in future investigations.

Imbalance of Iron Availability and Demand in Patients With Acute and Chronic Heart Failure.

BACKGROUND: Iron deficiency (ID) is a frequent comorbidity in patients with acute (AHF) and chronic heart failure (CHF) associated with morbidity and death. We aimed to better characterize iron homeostasis in patients with heart failure applying different biomarkers and to evaluate the accuracy of current ID definition by the European Society of Cardiology/American College of Cardiology/American Heart Association to indicate tissue iron availability and demand. METHODS AND RESULTS: We performed a retrospective cohort study investigating 277 patients with AHF and 476 patients with CHF between February 2021 and May 2022. Patients with AHF had more advanced ID than patients with CHF, reflected by increased soluble transferrin receptor and soluble transferrin receptor-ferritin index, and lower ferritin, serum iron, transferrin saturation, hepcidin, and reticulocyte hemoglobin. Decreased iron availability or increased tissue iron demand, reflected by increased soluble transferrin receptor-ferritin index and decreased reticulocyte hemoglobin, was found in 84.1% (AHF) and 28.0% (CHF) with absolute ID and in 50.0% (AHF) and 10.5% (CHF) with combined ID according to the current European Society of Cardiology/American College of Cardiology/American Heart Association-based ID definition. Low hepcidin expression as an indicator of systemic ID was found in 91.1% (AHF) and 80.4% (CHF) of patients with absolute ID and in 32.3% (AHF) and 18.8% (CHF) of patients with combined ID. ID definitions with higher specificity reduce the need for iron supplementation by 25.5% in patients with AHF and by 65.6% in patients with CHF. CONCLUSIONS: Our results suggest that the current European Society of Cardiology/American College of Cardiology/American Heart Association-based ID definition might overestimate true ID, particularly in CHF. More stringent thresholds for ID could more accurately identify patients with heart failure with reduced tissue iron availability who benefit from intravenous iron supplementation.

Assessment of new-onset heart failure prediction in a diabetic population using left ventricular global strain: a prospective cohort study based on UK Biobank.

Background: Impaired glucose utilization influences myocardial contractile function. However, the prognostic importance of left ventricular global radial strain (LV-GRS), left ventricular global circumferential strain (LV-GCS), and left ventricular global longitudinal strain (LV-GLS) in predicting new-onset heart failure (HF) in a population with diabetes is unclear. Methods: The study design is prospective cohort from the UK Biobank. Totally 37,899 participants had a complete data of cardiac magnetic resonance (CMR), of which 940 patients with diabetes were included, and all the participants completed follow-up. LV-GRS, LV-GCS, and LV-GLS were measured by completely automated CMR with tissue tagging. Cox proportional hazards regression analysis and C-index was performed to evaluate the association between the strain parameters and the new-onset HF in patients suffering from diabetes. Results: The average age of the 940 participants was 57.67 ± 6.97 years, with males comprising 66.4% of the overall population. With an average follow-up period of 166.82 ± 15.26 months, 35 (3.72%) patients reached the endpoint (emergence of new-onset HF). Significant associations were found for the three strain parameters and the new-onset HF (LV-GRS-hazard ratio [HR]: 0.946, 95% CI: 0.916-0.976; LV-GCS-HR: 1.162, 95% CI: 1.086-1.244; LV-GCS-HR: 1.181, 95% CI: 1.082-1.289). LV-GRS, LV-GCS, and LV-GLS were closely related to the related indicators to HF, and showed a high relationship to new-onset HF in individuals with diabetes at 5 and 10 years: LV-GRS: 0.75 (95% CI, 0.41-0.94) and 0.76 (95% CI, 0.44-0.98), respectively; LV-GCS: 0.80 (95% CI, 0.50-0.96) and 0.75 (95% CI, 0.41-0.98), respectively; LV-GLS: 0.72 (95% CI, 0.40-0.93) and 0.76 (95% CI, 0.48-0.97), respectively. In addition, age, sex, body mass index (BMI), and presence of hypertension or coronary artery disease (CAD) made no impacts on the association between the global strain parameters and the incidence of HF. Conclusion: LV-GRS, LV-GCS, and LV-GLS is significantly related to new-onset HF in patients with diabetes at 5 and 10 years.

Qualitative Analysis of Patient Decisional Needs for Medications to Treat Heart Failure.

BACKGROUND: The development of tools to support shared decision-making should be informed by patients' decisional needs and treatment preferences, which are largely unknown for heart failure (HF) with reduced ejection fraction (HFrEF) pharmacotherapy decisions. We aimed to identify patients' decisional needs when considering HFrEF medication options. METHODS: This was a qualitative study using semi-structured interviews. We recruited patients with HFrEF from 2 Canadian ambulatory HF clinics and clinicians from Canadian HF guideline panels, HF clinics, and Canadian HF Society membership. We identified themes through inductive thematic analysis. RESULTS: Participants included 15 patients and 12 clinicians. Six themes and associated subthemes emerged related to HFrEF pharmacotherapy decision-making: (1) patient decisional needs included lack of awareness of a choice or options, difficult decision timing and stage, information overload, and inadequate motivation, support and resources; (2) patients' decisional conflict varied substantially, driven by unclear trade-offs; (3) treatment attribute preferences-patients focused on both benefits and downsides of treatment, whereas clinicians centered discussion on benefits; (4) quality of life-patients' definition of quality of life depended on pre-HF activity, though most patients demonstrated adaptability in adjusting their daily activities to manage HF; (5) shared decision-making process-clinicians' described a process more akin to informed consent; (6) decision support-multimedia decision aids, virtual appointments, and primary-care comanagement emerged as potential enablers of shared decision-making. CONCLUSIONS: Patients with HFrEF have several decisional needs, which are consistent with those that may respond to decision aids. These findings can inform the development of HFrEF pharmacotherapy decision aids to address these decisional needs and facilitate shared decision-making.

Clinical Implications of Estimating Glomerular Filtration Rate with Different Equations in Heart Failure Patients with Preserved Ejection Fraction.

INTRODUCTION: The prognostic values of estimated glomerular filtration rate (eGFR) calculated by different formulas have not been adequately compared in patients with heart failure with preserved ejection fraction (HFpEF). AIM: We compared the predictive values of serum creatinine-based eGFRs calculated by the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) 2009 equation, Modification of Diet in Renal Disease Study (MDRD) formula, and full-age-spectrum creatinine (FAS Cr) equation in 1751 HFpEF patients. METHODS: The area under the receiver-operating characteristic curve (AUC), integrated discrimination improvement (IDI) and net reclassification improvement (NRI) were employed. RESULTS: eGFR values were lowest calculated with FAS Cr equation (p < 0.001). When patients were classified into 4 subgroups (eGFR ≥ 90, 89-60, 59-30, and  < 30 ml/min/1.73 m2) or only 2 subgroups (≥ 60 or  < 60 ml/min/1.73 m2), the 3 formulas correlated significantly, with the best correlation found between the MDRD and CKD-EPI formulas (kappa = 0.871 and 0.963, respectively). The 3 formulas conveyed independent prognostic information. After adjusting for potential cofounders, risk prediction for all-cause mortality was more accurate (p = 0.001) using the CKD-EPI equation than MDRD formula as assessed by AUC. Compared with MDRD formula, CKD-EPI equation exhibited superior predictive ability assessed by IDI and NRI of 0.32% (p < 0.001)/10.4% (p = 0.010) for primary endpoint and 0.37% (p = 0.010)/10.8% (p = 0.010) for HF hospitalization. The risk prediction for deterioration of renal function was more accurate (p ≤ 0.040) using the CKD-EPI equation than FAS Cr equation as assessed by AUC, IDI, and NRI. CONCLUSION: The CKD-EPI formula might be the preferred creatinine-based equation in clinical risk stratification in HFpEF patients.

Aetiology and predictors of major bleeding events in patients with heart failure with reduced ejection fraction undergoing percutaneous coronary intervention.

OBJECTIVES: We sought to determine the relationship between the degree of left ventricular ejection fraction (LVEF) impairment and the frequency and type of bleeding events after percutaneous coronary intervention (PCI). DESIGN: This was an observational retrospective cohort analysis. Patients who underwent PCI from 2009 to 2017 were identified from our institutional National Cardiovascular Disease Registry (NCDR) CathPCI database. Patients were stratified by pre-PCI LVEF: preserved (≥50%), mildly reduced (41%-49%) and reduced (≤40%) LVEF. PRIMARY OUTCOME MEASURES: The outcome was major bleeding, defined by NCDR criteria. Events were classified based on bleeding aetiology and analysed by multivariable logistic regression. RESULTS: Among 13 537 PCIs, there were 817 bleeding events (6%). The rate of bleeding due to any cause, blood transfusion, gastrointestinal bleeding and coronary artery perforation or tamponade each increased in a stepwise fashion comparing preserved, mildly reduced and reduced LVEF reduction (p<0.05 for all comparisons). However, there were no differences in bleeding due to asymptomatic drops in haemoglobin, access site haematoma or retroperitoneal bleeding. After multivariable adjustment, mildly reduced and reduced LVEF remained independent predictors of bleeding events (OR 1.36, 95% CI 1.06 to 1.74, p<0.05 and OR 1.73, 95% CI 1.45 to 2.06, p<0.0001). CONCLUSIONS: The degree of LV dysfunction is an independent predictor of post-PCI major bleeding events. Patients with mildly reduced or reduced LVEF are at greatest risk of post-PCI bleeding, driven by an increased need for blood transfusion, major GI bleeding events and coronary artery perforation or tamponade. Pre-PCI LV dysfunction does not predict asymptomatic declines in haemoglobin, access site haematoma or retroperitoneal bleeding.

Detection of NT-proBNP Using Optical Fiber Back-Reflection Plasmonic Biosensors.

Heart failure (HF) is a clinical entity included in cardiovascular diseases affecting millions of people worldwide, being a leading cause of hospitalization of older adults, and therefore imposing a substantial economic burden on healthcare systems. HF is characterized by dyspnea, fatigue, and edema associated with elevated blood levels of natriuretic peptides, such as N Terminal pro-B-type Natriuretic Peptide (NT-proBNP), for which there is a high demand for point of care testing (POCT) devices. Optical fiber (OF) biosensors offer a promising solution, capable of real-time detection, quantification, and monitoring of NT-proBNP concentrations in serum, saliva, or urine. In this study, immunosensors based on plasmonic uncladded OF tips were developed using OF with different core diameters (200 and 600 µm). The tips were characterized to bulk refractive index (RI), anddetection tests were conducted with NT-proBNP concentrations varying from 0.01 to 100 ng/mL. The 200 µm sensors showed an average total variation of 3.6 ± 2.5 mRIU, an average sensitivity of 50.5 mRIU/ng·mL-1, and a limit of detection (LOD) of 0.15 ng/mL, while the 600 µm sensors had a response of 6.1 ± 4.2 mRIU, a sensitivity of 102.8 mRIU/ng·mL-1, and an LOD of 0.11 ng/mL. Control tests were performed using interferents such as uric acid, glucose, and creatinine. The results show the potential of these sensors for their use in biological fluids.

[Applicability of H2FPEF and HFA-PEFF Scores in Chinese Patients Suffering From Heart Failure With Preserved Ejection Fraction and Heart Failure With Preserved Ejection Fraction Complicated With Atrial Fibrillation].

Objective To analyze the diagnostic values of H2FPEF and HFA-PEFF scores for heart failure with preserved ejection fraction (HFpEF) and HFpEF complicated with atrial fibrillation (HFpEF-AF) in Chinese patients and explore the related factors. Methods A cross-sectional study was conducted.A total of 835 consecutive HFpEF patients treated in the Department of Geriatric Cardiology,the First Hospital of Lanzhou University from 2009 to 2020 were selected and assigned to a HFpEF-AF group (n=267) and a HFpEF group (n=568) according to the presence of AF or not.HFA-PEFF and H2FPEF scores were used for retrospective diagnosis and the diagnostic consistency of the two scores was assessed.One hundred and thirty-six healthy volunteers with age and sex matching the patients during the same period were selected as healthy controls.The receiver operating characteristic (ROC) curves were established for H2FPEF and HFA-PEFF scores in diagnosing HFpEF-AF and HFpEF,on the basis of which the diagnostic performance of the two scores was evaluated. Results There was no difference in the HFA-PEFF score between the two groups (P=0.070).However,the HFpEF-AF group had higher mean H2FPEF score and higher proportion of patients with the score no less than 6 than the HFpEF group (P<0.001).According to the ROC curves,HFA-PEFF and H2FPEF scores demonstrated high performance in diagnosing all HFpEF patients,with the area under the curve (AUC) of 0.892 and 0.922 and the optimal cut-offs of 4 and 4,respectively.The HFA-PEFF score showed similar performance in diagnosing HFpEF and HFpEF-AF,with the AUC of 0.899 and 0.911,respectively.The H2FPEF score had higher performance in diagnosing HFpEF-AF (AUC of approximately 1.000) and low performance in diagnosing HFpEF (AUC of 0.885). Conclusions The HFA-PEFF score is applicable in the diagnosis of both HFpEF and HFpEF-AF.The H2FPEF score may underestimate HFpEF in Chinese patients,and its applicability in the Chinese patients with HFpEF alone remains to be investigated.

Implementation Science to Achieve Equity in Heart Failure Care: A Scientific Statement From the American Heart Association.

Guideline-directed medical therapies and guideline-directed nonpharmacological therapies improve quality of life and survival in patients with heart failure (HF), but eligible patients, particularly women and individuals from underrepresented racial and ethnic groups, are often not treated with these therapies. Implementation science uses evidence-based theories and frameworks to identify strategies that facilitate uptake of evidence to improve health. In this scientific statement, we provide an overview of implementation trials in HF, assess their use of conceptual frameworks and health equity principles, and provide pragmatic guidance for equity in HF. Overall, behavioral nudges, multidisciplinary care, and digital health strategies increased uptake of therapies in HF effectively but did not include equity goals. Few HF studies focused on achieving equity in HF by engaging stakeholders, quantifying barriers and facilitators to HF therapies, developing strategies for equity informed by theory or frameworks, evaluating implementation measures for equity, and titrating strategies for equity. Among these HF equity studies, feasibility was established in using various educational strategies to promote organizational change and equitable care. A couple include ongoing randomized controlled pragmatic trials for HF equity. There is great need for additional HF implementation trials designed to promote delivery of equitable guideline-directed therapy.