Heart failure hospitalization: An important prognostic factor for heart failure re-admission and mortality

Vericiguat Use in Patients with Heart Failure in Real-World Settings during the First Year after the Drug Authorization in Japan

Background: Vericiguat was developed to treat patients with heart failure (HF). Currently, limited data are available to characterize vericiguat-treated patients in real-world clinical settings. Methods: This retrospective cohort study was done using a Japanese hospital administrative database to describe the use of vericiguat in patients with HF in real-world settings. Adult patients diagnosed with HF prescribed vericiguat between 1 July 2021 and 30 September 2022 were included. Patient characteristics at the initiation of vericiguat treatment, patterns of HF medication use, and vericiguat dose titrations were assessed within the first 90 days of treatment. Results: The study included 829 patients who were initiated on vericiguat therapy. The mean age was 75.5 years and 69.0% were male. Hypertension, coronary artery disease, and diabetes mellitus were present in 91.7, 71.3, and 60.1% of patients, respectively. Most patients had previously received HF medications, with high percentages using angiotensin-receptor blocker neprilysin inhibitors (ARNI; 43.9%) and sodium-glucose cotransporter-2 inhibitors (54.4%). During the first 90 days of vericiguat treatment, 65.8% of the patients were uptitrated from their starting dose, and 32.3% had reached the maximal daily dose. The median time to reach the maximal daily dose was 34 days. The multivariable model identified that initiating vericiguat treatment in an outpatient setting and using ARNI before initiating vericiguat treatment were factors significantly associated with reaching the maximal daily dose of vericiguat at any given time, whereas older age, chronic kidney disease, hyperkalemia, and anemia were not associated. Conclusions: These findings provide early insights into the use of vericiguat, which aid in optimizing the combinations and/or sequences of HF treatment incorporating vericiguat therapy.

Treatment Patterns, Outcomes, and Persistence to Newly Started Heart Failure Medications in Patients with Worsening Heart Failure: A Cohort Study from the United States and Germany

BACKGROUND

Data are limited regarding guideline-directed medical therapy (GDMT) treatment patterns in patients with worsening heart failure (HF).

METHODS

We used administrative claims databases in Germany and the USA to conduct a retrospective cohort study of patients with worsening HF. Two cohorts of patients with prevalent HF and a HF hospitalization (HFH) from 2016 to 2019, alive at discharge (N = 75,140 USA; N = 47,003 Germany) were identified. Index date was the first HFH during the study period. One-year HF rehospitalization and mortality rates were calculated and a composite endpoint of both outcomes assessed using Kaplan-Meier estimation. We evaluated HF medication patterns in the 6 months before and after the index date. New users of a HF medication (at discharge/after index HFH) were followed for 1 year to evaluate persistence (no treatment gaps > 2 months) RESULTS: One-year HF rehospitalization rates were 36.2% (USA) and 47.7% (Germany). One year mortality rates were 30.0% (USA) and 23.0% (Germany), and the composite endpoint (mortality/HF rehospitalization) was reached in 55.1 % (USA) and 56.6% (Germany). Kaplan-Meier plots showed the risk for the composite endpoint was high in the early post discharge period. Comparison of patterns pre- and postindex HFH showed some increase in use of mineralocorticoid receptor antagonists (MRAs), angiotensin receptor-neprilysin inhibitor (ARNI), and triple therapy; use of angiotensin-converting enzyme (ACE) inhibitor/ angiotensin receptor blocker (ARB) plus beta-blockers remained constant/slightly declined; < 20% patients received triple therapy (ACE inhibitor/ARB plus beta-blocker plus MRA). A third of patients were new users; 1 year persistence rates were often low.

CONCLUSIONS

Morbidity, mortality, and rehospitalization risk is high among patients with worsening HF; uptake and continuation of GDMT is suboptimal.

Initiation and continuation of pharmacological therapies in patients hospitalized for heart failure in Japan

Currently, the utilization patterns of medications for heart failure (HF) after worsening HF events remain unelucidated in Japan. Here, we conducted a retrospective cohort study evaluating the changes in HF drug utilization patterns in 6 months before and after hospitalizations for HF. The adherence to newly initiated HF medications was evaluated based on the proportion of days covered (PDC) and persistence as continuous treatment episodes among new users. The study included 9091 patients hospitalized for HF between January 2016 and September 2019, including 2735 (30.1%) patients who were newly prescribed at least one HF medication after hospitalization. Despite increases in the use of foundational HF therapy (beta-blockers, angiotensin-converting-enzyme inhibitors/angiotensin receptor blockers, or mineralocorticoid receptor antagonists), 35.6% and 7.6% of patients were treated with the HF foundational monotherapy or diuretics alone after hospitalization, respectively. The mean PDC of newly initiated HF medications ranged from 0.57 for thiazide diuretics to 0.77 for sodium-glucose cotransporter-2 inhibitors. Continuous use of HF medications during the first year after initiation was observed in 30-60% of patients. The mean PDC and one-year continuous HF medication use were consistently lower in patients aged ≥ 75 years and in patients with a history of HF hospitalization for all HF medication classes except for tolvaptan and digoxin. Despite the guideline recommendations of HF pharmacotherapy, both treatment and adherence were suboptimal after HF hospitalization, especially in vulnerable populations such as older patients and those with prior HF hospitalizations.

Predicting One-Year Mortality after Discharge Using Acute Heart Failure Score (AHFS)

Background: Acute heart failure (AHF) represents a leading cause of unscheduled hospital stays, frequent rehospitalisations, and mortality worldwide. The aim of our study was to develop a bedside prognostic tool, a multivariable predictive risk score, that is useful in daily practice, thus providing an early prognostic evaluation at admission and an accurate risk stratification after discharge in patients with AHF. Methods: This study is a subanalysis of the STADE HF study, which is a single-centre, prospective, randomised controlled trial enrolling 123 patients admitted to hospital for AHF. Here, 117 patients were included in the analysis, due to data exhaustivity. Regression analysis was performed to determine predictive variables for one-year mortality and/or rehospitalisation after discharge. Results: During the first year after discharge, 23 patients died. After modellisation, the variables considered to be of prognostic relevance in terms of mortality were (1) non-ischaemic aetiology of HF, (2) elevated creatinine levels at admission, (3) moderate/severe mitral regurgitation, and (4) prior HF hospitalisation. We designed a linear model based on these four independent predictive variables, and it showed a good ability to score and predict patient mortality with an AUC of 0.84 (95%CI: 0.76-0.92), thus denoting a high discriminative ability. A risk score equation was developed. During the first year after discharge, we observed as well that 41 patients died or were rehospitalised; hence, while searching for a model that could predict worsening health conditions (i.e., death and/or rehospitalisation), only two predictive variables were identified: non-ischaemic HF aetiology and previous HF hospitalisation (also included in the one-year mortality model). This second modellisation showed a more discrete discriminative ability with an AUC of 0.67 (95% C.I. 0.59-0.77). Conclusions: The proposed risk score and model, based on readily available predictive variables, are promising and useful tools to assess, respectively, the one-year mortality risk and the one-year mortality and/or rehospitalisations in patients hospitalised for AHF and to assist clinicians in the management of patients with HF aiming at improving their prognosis.

Etiologies and Predictors of 30-Day Readmission in Heart Failure: An Updated Analysis

BACKGROUND AND OBJECTIVES

Readmissions in heart failure (HF), historically reported as 20%, contribute to significant patient morbidity and high financial cost to the healthcare system. The changing population landscape and risk factor dynamics mandate periodic epidemiologic reassessment of HF readmissions.

METHODS

National Readmission Database (NRD, 2019) was used to identify HF-related hospitalizations and evaluated for demographic, admission characteristics, and comorbidity differences between patients readmitted vs. those not readmitted at 30-days. Causes of readmission and predictors of all-cause, HF-specific, and non-HF-related readmissions were analyzed.

RESULTS

Of 48,971 HF patients, the readmitted cohort was younger (mean 67.4 vs. 68.9 years, p≤0.001), had higher proportion of males (56.3% vs. 53.7%), lowest income quartiles (33.3% vs. 28.9%), Charlson comorbidity index (CCI) ≥3 (61.7% vs. 52.8%), resource utilization including large bed-size hospitalizations, Medicaid enrollees, mean length of stay (6.2 vs. 5.4 days), and disposition to other facilities (23.9% vs. 20%) than non-readmitted. Readmission (30-day) rate was 21.2% (10,370) with cardiovascular causes in 50.3% (HF being the most common: 39%), and non-cardiac in 49.7%. Independent predictors for readmission were male sex, lower socioeconomic status, nonelective admissions, atrial fibrillation, chronic obstructive pulmonary disease, chronic kidney disease, anemia, and CCI ≥3. HF-specific readmissions were significantly associated with prior coronary artery disease and Medicaid enrollment.

CONCLUSIONS

Our analysis revealed cardiac and noncardiac causes of readmission were equally common for 30-day readmissions in HF patients with HF itself being the most common etiology highlighting the importance of addressing the comorbidities, both cardiac and non-cardiac, to mitigate the risk of readmission.

Machine Learning Patient-Specific Prediction of Heart Failure Hospitalization Using Cardiac MRI-Based Phenotype and Electronic Health Information

Background

Heart failure (HF) hospitalization is a dominant contributor of morbidity and healthcare expenditures in patients with systolic HF. Cardiovascular magnetic resonance (CMR) imaging is increasingly employed for the evaluation of HF given capacity to provide highly reproducible phenotypic markers of disease. The combined value of CMR phenotypic markers and patient health information to deliver predictions of future HF events has not been explored. We sought to develop and validate a novel risk model for the patient-specific prediction of time to HF hospitalization using routinely reported CMR variables, patient-reported health status, and electronic health information.

Methods

Standardized data capture was performed for 1,775 consecutive patients with chronic systolic HF referred for CMR imaging. Patient demographics, symptoms, Health-related Quality of Life, pharmacy, and routinely reported CMR features were provided to both machine learning (ML) and competing risk Fine-Gray-based models (FGM) for the prediction of time to HF hospitalization.

Results

The mean age was 59 years with a mean LVEF of 36 ± 11%. The population was evenly distributed between ischemic (52%) and idiopathic non-ischemic cardiomyopathy (48%). Over a median follow-up of 2.79 years (IQR: 1.59–4.04) 333 patients (19%) experienced HF related hospitalization. Both ML and competing risk FGM based models achieved robust performance for the prediction of time to HF hospitalization. Respective 90-day, 1 and 2-year AUC values were 0.87, 0.83, and 0.80 for the ML model, and 0.89, 0.84, and 0.80 for the competing risk FGM-based model in a holdout validation cohort. Patients classified as high-risk by the ML model experienced a 34-fold higher occurrence of HF hospitalization at 90 days vs. the low-risk group.

Conclusion

In this study we demonstrated capacity for routinely reported CMR phenotypic markers and patient health information to be combined for the delivery of patient-specific predictions of time to HF hospitalization. This work supports an evolving migration toward multi-domain data collection for the delivery of personalized risk prediction at time of diagnostic imaging.

Prognostic score based on physical frailty in patients with heart failure: a multicenter prospective cohort study (FLAGSHIP)

BACKGROUND

In patients with heart failure (HF), physical frailty should be assessed to enable risk stratification. No conventional frailty criteria have so far been developed considering HF-specific outcomes. This study aimed to propose a frailty-based prognostic score using a nationwide cohort study of Japanese patients with HF.

METHODS

We analysed 2721 patients hospitalized for HF and capable of walking at discharge (median age: 76 years [interquartile range 67-83], men: 60.5%). Physical frailty was evaluated at discharge using four quantitative measures: usual walking speed, grip strength, Performance Measure for Activities of Daily Living-8 (PMADL-8), and Self-Efficacy for Walking-7 (SEW-7). The primary outcome was a composite of HF rehospitalization and all-cause mortality within 2 years. A cut-off point was identified for each measure using receiver operating characteristic analysis in a derivation cohort (n = 1778). Cox proportional hazards model was used to assign a score to each frailty domain according to the correlation with the endpoint. Patients were divided into four categories according to the sum score, and survival was compared by analysing the Kaplan-Meier curve and Cox proportional hazards model. Cumulative incidences of the events according to frailty categories were compared between the derivation cohort and a validation cohort (n = 943).

RESULTS

The cut-off value and assigned score of each indicator was determined as follows: usual walking speed < 0.98 m/s = 4 points; grip strength < 30.0 kg (men) or 17.5 kg (women) = 5 points; PMADL-8 ≥ 21 points = 2 points; SEW-7 ≤ 20 points = 3 points. We stratified patients into four categories according to the sum score: Category I, ≤3 points; Categories II, 4-8 points; Category III, 9-13 points; and Category IV, 14 points. The prevalence and cumulative incidence of the composite outcome for Categories I to IV in the derivation cohort were 27.4%, 25.2%, 26.4%, and 21.0%, and 9.5, 16.3, 26.3, and 36.8/100 person-years, respectively. Similar results were confirmed in the validation cohort. In Cox proportional hazards model, frailty categories were associated with the composite outcome independent of potential confounders (hazard ratio [95% confidence interval] in reference to Category I: Categories II, 1.51 [0.84-2.72], P = 0.169; Category III, 2.37 [1.32-4.23], P = 0.004; Category IV, 2.66 [1.45-4.89], P = 0.002).

CONCLUSIONS

The frailty-based prognostic score proposed in this study was well associated with prognosis and will serve for risk stratification in patients with HF.

Use of mobile applications in heart failure self-management: a qualitative study exploring the patient and primary care clinician perspective (Preprint)

Background

Mobile apps have the potential to support patients with heart failure and facilitate disease self-management, but this area of research is recent and rapidly evolving, with inconsistent results for efficacy. So far, most of the published studies evaluated the feasibility of a specific app or assessed the quality of apps available in app stores. Research is needed to explore patients’ and clinicians’ perspectives to guide app development, evaluation, and implementation into models of care.

Objective

This study aims to explore the patient and primary care clinician perspective on the facilitators and barriers to using mobile apps, as well as desired features, to support heart failure self-management.

Methods

This is a qualitative phenomenological study involving face-to-face semistructured interviews. Interviews were conducted in a general practice clinic in Sydney, Australia. Eligible participants were adult patients with heart failure and health care professionals who provided care to these patients at the clinic. Patients did not need to have previous experience using heart failure mobile apps to be eligible for this study. The interviews were audio-recorded, transcribed, and analyzed using inductive thematic data analysis in NVivo 12.

Results

A total of 12 participants were interviewed: 6 patients (mean age 69 [SD 7.9] years) and 6 clinicians. The interviews lasted from 25 to 45 minutes. The main facilitators to the use of apps to support heart failure self-management were communication ability, personalized feedback and education, and automated self-monitoring. Patients mentioned that chat-like features and ability to share audio-visual information can be helpful for getting support outside of clinical appointments. Clinicians considered helpful to send motivational messages to patients and ask them about signs and symptoms of heart failure decompensation. Overall, participants highlighted the importance of personalization, particularly in terms of feedback and educational content. Automated self-monitoring with wireless devices was seen to alleviate the burden of tracking measures such as weight and blood pressure. Other desired features included tools to monitor patient-reported outcomes and support patients’ mental health and well-being. The main barriers identified were the patients’ unwillingness to engage in a new strategy to manage their condition using an app, particularly in the case of low digital literacy. However, clinicians mentioned this barrier could potentially be overcome by introducing the app soon after an exacerbation, when patients might be more willing to improve their self-management and avoid rehospitalization.

Conclusions

The use of mobile apps to support heart failure self-management may be facilitated by features that increase the usefulness and utility of the app, such as communication ability in-between consultations and personalized feedback. Also important is facilitating ease of use by supporting automated self-monitoring through integration with wireless devices. Future research should consider these features in the co-design and testing of heart failure mobile apps with patients and clinicians.

Influenza-Associated Hospitalizations and Risk of Subsequent Heart Failure Hospital Admissions: A 20-Year Territorywide Registry Study in Hong Kong, China

Little is known about the risk of hospitalization for cardiovascular disease after influenza infection in younger adults. In a territorywide Hong Kong, China, study using clinical registry data for 1997-2017, we examined the association between influenza-associated hospitalizations and the risk of subsequent hospitalization for heart failure (HHF) in 3 age groups: 18-44 years, 45-65 years, and >65 years. Exposure was defined as any infection with influenzavirus as a primary principal diagnosis for hospitalization, whereas the nonexposed control group comprised persons with hospitalizations for elective orthopedic surgery. Logistic regression was used to determine the risk of HHF within 12 months of hospital discharge for the exposed group versus the nonexposed group. Results showed that influenza-associated hospitalization in the preceding 12 months was associated with increased risk of subsequent HHF in all age groups (all P values < 0.001). Notably, the age group 18-44 years was found to have the highest elevated risk of HHF (adjusted odds ratio = 14.90, 95% confidence interval: 4.48, 49.58). In view of the relatively small number of subsequent HHF episodes in this age group, future studies are needed to confirm the elevated risk in this group and to explore the role of age in the relationship between influenza-associated hospitalization and subsequent HHF.

Readmission and mortality among heart failure patients with history of hypertension in a statewide database

Objective was to examine the temporal trends in readmission and mortality of heart failure (HF) patients with history of hypertension. This study includes 51 141 patients with history of hypertension who were discharged with a first diagnosis of HF between January 1, 2000, and December 31, 2014. Data were obtained from the Myocardial Infarction Data Acquisition System (MIDAS), a statewide database of all hospitalizations for cardiovascular (CV) disease in New Jersey. The temporal trends of mortality, rates of HF-specific readmission, and all-cause readmissions up to 1 year after discharge were examined using multivariable logistic regression. The difference in all-cause mortality at 3 years between patients who were readmitted compared to those who were not readmitted at 1 year was examined. The number of patients with history of hypertension and HF remained unchanged during the study period. Male gender, black race, comorbidities, and admission to non-teaching hospitals were predictors of HF readmission and CV mortality (P < .05 for all). Readmission rate for any cause increased during the study period (P < .001) while rates of HF readmissions and mortality remained relatively unchanged. Patients that had been readmitted within a year exhibited a significantly higher 3-year mortality (P < .001). CV mortality among HF patients with history of hypertension did not change significantly between 2000 and 2014, while the rates of all-cause readmission increased. Patients who were readmitted had higher 3-year mortality (P < .001) than those who were not.

Diabetes mellitus and risk of new-onset and recurrent heart failure: a systematic review and meta-analysis

Despite mounting evidence of the positive relationship between diabetes mellitus (DM) and heart failure (HF), the entire context of the magnitude of risk for HF in relation to DM remains insufficiently understood. The principal reason is because new‐onset HF (HF occurring in participants without a history of HF) and recurrent HF (HF re‐occurring in patients with a history of HF) are not discriminated. This meta‐analysis aims to comprehensively and separately assess the risk of new‐onset and recurrent HF depending on the presence or absence of DM. We systematically searched cohort studies that examined the relationship between DM and new‐onset or recurrent HF using EMBASE and MEDLINE (from 1 Jan 1950 to 28 Jul 2019). The risk ratio (RR) for HF in individuals with DM compared with those without DM was pooled with a random‐effects model. Seventy‐four and 38 eligible studies presented data on RRs for new‐onset and recurrent HF, respectively. For new‐onset HF, the pooled RR [95% confidence interval (CI)] of 69 studies that examined HF as a whole [i.e. combining HF with preserved ejection fraction (HFpEF) and HF with reduced ejection fraction (HFrEF)] was 2.14 (1.96–2.34). The large between‐study heterogeneity (I² = 99.7%, P < 0.001) was significantly explained by mean age [pooled RR (95% CI) 2.60 (2.38–2.84) for mean age < 60 years vs. pooled RR (95% CI) 1.95 (1.79–2.13) for mean age ≥ 60 years] (P < 0.001). Pooled RRs (95% CI) of seven and eight studies, respectively, that separately examined HFpEF and HFrEF risk were 2.22 (2.02–2.43) for HFpEF and 2.73 (2.71–2.75) for HFrEF. The risk magnitudes between HFpEF and HFrEF were not significantly different in studies that examined both HFpEF and HFrEF risks (P = 0.86). For recurrent HF, pooled RR (95% CI) of the 38 studies was 1.39 (1.33–1.45). The large between‐study heterogeneity (I² = 80.1%, P < 0.001) was significantly explained by the proportion of men [pooled RR (95% CI) 1.53 (1.40–1.68) for < 65% men vs. 1.32 (1.25–1.39) for ≥65% men (P = 0.01)] or the large pooled RR for studies of only participants with HFpEF [pooled RR (95% CI), 1.73 (1.32–2.26) (P = 0.002)]. Results indicate that DM is a significant risk factor for both new‐onset and recurrent HF. It is suggested that the risk magnitude is large for new‐onset HF especially in young populations and for recurrent HF especially in women or individuals with HFpEF. DM is associated with future HFpEF and HFrEF to the same extent.

Is Chikungunya Virus Infection an Independent Risk Factor for 2-Year Mortality in Older Afro-Caribbean Subjects?

Purpose

The aim of this study was to investigate whether Chikungunya virus infection (CVI) was an independent risk factor for 2-year mortality in Afro-Caribbean subjects aged 65 years or older.

Patients and methods

A retrospective cohort study was performed from January 2014 to December 2016 in the University Hospital of Martinique. Subjects aged ≥65 years admitted to the hospital were included. Baseline characteristics and concurrent manifestations at admission were collected. Subjects were followed up by phone for 2 years.

Results

A total of 687 old Afro-Caribbean subjects (80.4±8.0 years) were included: 467 positive for CVI (Chik+) and 220 negative for CVI (Chik-). During the follow-up, 180 (26.2%) died. The proportion of deaths was higher among Chik- (40.9%) than among Chik+ subjects (21.6%) (p<0.0001). By multivariable analysis, when adjusted for age polyarthralgia, neurological troubles, cardiovascular disorders, absence of neutrophilia, thrombocytopenia, hypernatremia, and hospital stay, Chik+ subjects had significantly higher survival rates (HR: 0.58; 95% CI: 0.40-0.85) than Chik- ones.

Conclusion

Within the two years following hospital admission of subjects aged ≥65 years or older, Chik+ subjects had significantly higher survival rates than Chik- ones.

Skin Autofluorescence as a Predictor of First Heart Failure Hospitalization in Patients With Heart Failure With Preserved Ejection Fraction

Background

An autofluorescence (AF) reader can be used to diagnose skin AF non-invasively by measuring local accumulation of advanced glycation end-products. A number of studies have investigated the relationships between skin AF and cardiovascular disease. However, data regarding the usefulness of skin AF as a predictor of chronic heart failure remain limited. This prospective study aimed to elucidate the usefulness of skin AF as a predictor of first heart failure (HF) hospitalization in patients with HF with preserved ejection fraction (HFpEF).

Methods

A total of 412 outpatients with HFpEF with no history of HF hospitalization were enrolled. Patients were assigned to either the low (group L; skin AF ≤ 2.9 arbitrary units (AU); n = 303) or the high (group H; skin AF ≥ 3.0 AU; n = 109) group according to optimal skin AF cut-off levels determined using receiver operating characteristic curves. Clinical parameters and the usefulness of skin AF as a predictor of first HF hospitalization were evaluated.

Results

The E/e' ratio as a marker of left ventricular diastolic function was significantly higher in group H patients than in group L patients at baseline (group H, 11.8 ± 3.8; group L, 10.6 ± 3.3; P = 0.002). During the 72.7-month follow-up period, 43 HF cases were hospitalized (group L, 15 cases; group H, 28 cases; P < 0.001, log-rank test). Multivariate Cox regression analyses revealed that group H exhibited a significantly higher risk of first HF hospitalization than did group L (hazard ratio, 2.26; 95% confidence interval, 1.21 - 3.52; P = 0.014).

Conclusions

The present study demonstrated that skin AF can predict the risk of first HF hospitalization in patients with HFpEF. Prospective studies, including intervention therapies, are required to validate our observations.

Analysis Of Re-Hospitalizations For Patients With Heart Failure Caused By Coronary Heart Disease: Data Of First Event And Recurrent Event

BACKGROUND

The re-hospitalization rate of patients with heart failure remains at a high level, and studies of the subject have focused mainly on event-time outcomes. In addition to using re-hospitalization data with the outcomes of the event-time-count, this study introduces the conditional frailty model, which could help obtain more reasonable results.

MATERIALS AND METHODS

This prospective observational cohort study enrolled 1484 patients with heart failure caused by coronary heart disease. The outcomes of heart failure readmissions and the case report form data were collected. Based on the traditional Cox model with event-time outcomes, the mixed effects of a conditional frailty model were added to analyze the event-time-count longitudinal data.

RESULTS

The Cox regression model showed that non-manual work, diastolic dysfunction, and better medical compensation increased the risk of heart failure readmission, whereas treatment with beta-blockers decreased the risk. The conditional frailty model further revealed that age, female sex, non-manual work, better medical compensation, longer QRS duration, and treatment with percutaneous coronary intervention increased the risk of heart failure readmission.

CONCLUSION

This study obtained more reliable, reasonable results based on longitudinal data and a mixed model. The results could provide more clinical epidemiological evidence for the management of heart failure.

Clinical Significance of Arterial Velocity Pulse Index in Patients With Stage B Heart Failure With Preserved Ejection Fraction

Background

In clinical settings, the arterial velocity pulse index (AVI) is explored as a novel marker of atherosclerosis using pulse wave analysis; however, data regarding the correlations between AVI and heart failure (HF) are limited. This study aimed to elucidate the clinical significance of AVI in patients with stage B HF with preserved ejection fraction (HFpEF).

Methods

In this cross-sectional study, 345 patients with stage B HFpEF (no symptoms despite evidence of cardiac structural or functional impairment, and left ventricular ejection fraction which is estimated by echocardiography ≥ 50%) were enrolled. Patients with a history of HF hospitalization were excluded. The AVI was measured using a commercial device, and associations between AVI and various clinical parameters were examined.

Results

Significant correlations between AVI and various clinical parameters, such as E/e' as a maker of left ventricular diastolic function (r = 0.35; P < 0.001), high-sensitivity cardiac troponin T levels as a marker of myocardial injury (r = 0.47; P < 0.001), reactive oxygen metabolite levels as an oxidative stress marker (r = 0.31; P < 0.001), urinary albumin concentration as a marker of kidney function (r = 0.34; P < 0.001) and calf circumference as a marker of muscle mass volume (r = -0.42; P < 0.001) were observed. Furthermore, multiple regression analyses revealed that these clinical parameters were selected as independent variables when AVI was used as a subordinate factor.

Conclusions

This study shows that AVI might be a determining factor for prognosis in patients with stage B HFpEF. Nevertheless, further comprehensive prospective studies, including intervention therapies, are warranted to validate the findings of this study.

Long-term survival and clinical forms in the acute phase of Chikungunya virus infection in older Caribbeans

OBJECTIVE

To investigate whether the long-term survival in elderly patients with prior Chikungunya virus infection (CVI) is associated with the clinical form presented in the acute phase, as defined by the WHO classification.

METHODS

Retrospective cohort study performed in Martinique University Hospitals. Patients who attended the emergency department for suspected CVI, and who had a positive biological diagnosis of CVI by reverse transcription-polymerase chain reaction on a plasma sample between 10 January and 31 December 2014 were eligible for inclusion. Time-to-death was the primary outcome. The independent relationship between clinical forms and time-to-death was analysed using a Cox model.

RESULTS

In total, 268 patients were included. Mean age was 80 ± 8 years, 53% were women. Median length of follow-up was 28 months (range: 0-39). During follow-up, 53 (19.8%) patients died. Median survival time was 13.2 months (range: 0-33.6). At the end of follow-up, death rates were 4.6% for acute clinical cases, 19.0% for atypical cases, 19.2% for severe acute cases and 23.5% for unclassifiable cases. By multivariable analysis, the clinical form of CVI at admission was found to be independently associated with long-term survival (atypical form: HR = 2.38; 95% CI = 2.15-2.62; severe acute form: HR = 2.40; 95% CI = 2.17-2.64; unclassifiable form: HR = 2.28; 95% CI = 2.06-2.51).

CONCLUSION

The clinical form at presentation with CVI has a significant impact on long-term survival. Management of CVI patients should be tailored according to their clinical form at admission.

The Relationship Between Heart-Failure Hospitalization and Mortality in Patients Receiving Transcatheter Aortic Valve Replacement

BACKGROUND

Patients who have had transcatheter aortic valve replacement (TAVR) are at risk of hospitalization during the first year postprocedure. Few studies have examined the incidence of heart- failure hospitalizations (HFH) post-TAVR and the impact this has on subsequent hospitalizations and mortality. Our aim was to determine the incidence, predictors, and mortality associated with HFH post-TAVR.

METHODS

We used prospectively collected data for all patients who underwent TAVR between August 1, 2010, and March 31, 2015; 742 consecutive patients who underwent TAVR during the study period were included. Patients were followed for a minimum of 1 year post-TAVR.

RESULTS

Mean age was 80.9 ± 8.1, and 58.2% were men. Hospitalizations post-TAVR occurred in 20% of patients at 30 days and 59.7% at 1 year. Of patients hospitalized, HFH was the primary cause of hospitalization in 25.8% and 21.4% of patients at 30 days and 1 year post-TAVR, respectively. Patients with HFH at either 30 days or 1 year had higher subsequent rates of rehospitalization compared with patients who had non-HFH. Patients with HFH or non-HFH at 30 days had 1-year mortality rates of 23.1% and 21.4%, respectively, whereas those with HFH by 1 year had a higher 1-year rate of mortality compared with patients who had non-HFHs (25% vs 10.9%, P < 0.001).

CONCLUSIONS

HF accounts for a quarter of all hospitalizations post-TAVR and is associated with higher rates of subsequent rehospitalization and death compared with those who had non-HFH. Understanding predictors of readmissions post-TAVR will allow for better risk stratification and improve outcomes in patients receiving TAVR.

Challenges of evaluating chronic heart failure and acute heart failure events in research studies using large health care databases

Epidemiological studies on heart failure (HF) using large health care databases are becoming increasingly frequent, as they represent an invaluable opportunity to characterize the importance and risk factors of HF from a population perspective. Nevertheless, because of its complex diagnosis and natural history, the heterogeneous use of the relevant terminology in routine clinical practice, and the limitations of some disease coding systems, HF can be a challenging condition to assess using large health care databases as the main source of information. In this narrative review, we discuss some of the challenges that researchers may face, with a special focus on the identification and validation of chronic HF cases and acute HF decompensations. For each of these challenges, we present some potential solutions inspired by the literature and/or based on our research experience, aimed at increasing the internal validity of research and at informing its interpretation. We also discuss future directions on the field, presenting constructive recommendations aimed at facilitating the conduct of valid epidemiological studies on HF in the coming years.

An integrative review of the literature on in-hospital worsening heart failure

A subset of patients hospitalized for acute exacerbation of chronic heart failure develop in-hospital worsening heart failure. The objective of this paper is to present an integrative review of in-hospital worsening heart failure, including definitions, incidence, prevalence, mechanisms, treatments, outcomes, and early identification by providers. A search of electronic databases was conducted from January 2000-August 2017 using multiple search terms. Papers were reviewed for relevance; retained papers were abstracted and data were reported in a narrative synthesis. Twenty papers were selected. Many papers were observational data from in-hospital events that occurred during research trials. There was great variability in in-hospital worsening heart failure definition, incidence, prevalence, and treatments offered. Despite rescue therapies, in-hospital worsening heart failure was associated with increased risk for longer hospital stays, higher readmission rates, and death. To date, there are no therapies that target the underlying mechanisms or minimize its occurrence.

Efficacy of the Reactive Oxygen Metabolite Test as a Predictor of Initial Heart Failure Hospitalization in Elderly Patients With Chronic Heart Failure

Background

The reactive oxygen metabolites (d-ROMs) test has recently been explored as a novel marker of oxidative stress in vivo and used in clinical settings. Conversely, data regarding the utility of the d-ROMs test as a predictor of patients with chronic heart failure (CHF) are limited. This prospective study aims to elucidate the efficacy of the d-ROMs test as a predictor of initial heart failure (HF) hospitalization in elderly patients with CHF.

Methods

A total of 428 elderly outpatients with CHF with no history of HF hospitalization (108 males, 320 females; mean age, 75 ± 7 years) were enrolled. Based on the median value of d-ROMs test levels (303 U.CARR), the patients were divided into the following two groups: group L (low d-ROMs test levels) and group H (high d-ROMs test levels). The utility of the d-ROMs test as a predictor of initial HF hospitalization was evaluated.

Results

During the 88.1-month follow-up period, 58 HF cases were hospitalized (group L, 17 cases; group H, 41 cases; P < 0.001, log-rank test). Multivariate Cox regression analyses revealed that group H exhibited a significantly higher risk for HF hospitalization than did group L (hazard ratio (HR), 2.35; 95% confidence interval (CI), 1.37 - 4.43; P < 0.01). Furthermore, the HR (vs. group L with low brain natriuretic peptide (BNP) levels (< 200 pg/mL), HR, 9.18; 95% CI, 4.78 - 22.94; P < 0.001) for the incidence of HF hospitalization increased in group H with high BNP levels (≥ 200 pg/mL).

Conclusions

The present study demonstrates that high d-ROMs test levels predict initial HF hospitalization in elderly patients with CHF. In addition, the predictive value for the incidence of HF hospitalization increases by using a combination of two biomarkers as d-ROMs test and BNP levels.

Derivation and validation of a predictive model for the readmission of patients with diabetes mellitus treated in internal medicine departments

OBJECTIVES

We developed a predictive model for the hospital readmission of patients with diabetes. The objective was to identify the frail population that requires additional strategies to prevent readmissions at 90 days.

METHODS

Using data collected from 1977 patients in 3 studies on the national prevalence of diabetes (2015-2017), we developed and validated a predictive model of readmission at 90 days for patients with diabetes.

RESULTS

A total of 704 (36%) readmissions were recorded. There were no differences in the readmission rates over the course of the 3 studies. The hospitals with more than 500 beds showed significantly (p=.02) higher readmission rates than those with fewer beds. The main reasons for readmission were infectious diseases (29%), cardiovascular diseases (24) and respiratory diseases (14%). Readmissions directly related to diabetic decompensations accounted for only 2% of all readmissions. The independent variables associated with hospital readmission were patient's age, degree of comorbidity, estimated glomerular filtration rate, degree of disability, presence of previous episodes of hypoglycaemia, use of insulin in treating diabetes and the use of systemic glucocorticoids. The predictive model showed an area under the ROC curve (AUC) of 0.676 (95% confidence interval [95% CI] 0.642-0.709; p=.001) in the referral cohort. In the validation cohort, the model showed an AUC of 0.661 (95% CI 0.612-0.710; p=.001).

CONCLUSION

The model we developed for predicting readmissions for hospitalised patients with type 2 diabetes helps identify a subgroup of frail patients with a high risk of readmission.

Clinical Significance of Skin Autofluorescence in Patients With Type 2 Diabetes Mellitus With Chronic Heart Failure

Background

Recent clinical studies have shown that skin autofluorescence (AF) levels are significantly associated with diabetic complications. In contrast, data regarding the relationships between skin AF and chronic heart failure (CHF) are limited. The aim of this study was to clarify the clinical significance of skin AF in patients with type 2 diabetes mellitus (DM) with CHF.

Methods

This cross-sectional study enrolled 257 outpatients with type 2 DM with CHF who were treated medically (96 men and 161 women; mean age, 79 ± 7 years). Associations between skin AF and various clinical parameters were examined.

Results

Incidence of skin AF in patients with a history of hospitalization due to HF was significantly higher than in those without a history of hospitalization due to HF (3.0 ± 0.5 AU vs. 2.7 ± 0.5 AU, respectively, P < 0.001). Significant positive correlations were found between skin AF and various clinical parameters, such as E/e′ as a maker of left ventricular diastolic function (r = 0.30, P < 0.001), high-sensitivity cardiac troponin T levels as a marker of myocardial injury (r = 0.45, P < 0.001), reactive oxygen metabolite levels as an oxidative stress marker (r = 0.31, P < 0.001), and cardio-ankle vascular index as a marker of arterial function (r = 0.38, P < 0.001). Furthermore, multiple regression analyses showed that these clinical parameters (E/e′ (β = 0.25, P < 0.001)), high-sensitivity cardiac troponin T levels (β = 0.30, P < 0.001), cardio-ankle vascular index (β = 0.21, P < 0.001), reactive oxygen metabolite levels (β = 0.15, P < 0.01), and a history of hospitalization due to HF (β = 0.23, P < 0.001) were independent variables when skin AF was used as a subordinate factor.

Conclusion

The findings of this study showed that skin AF may be a determining factor for prognosis in patients with type 2 DM with CHF. Further investigations in a large prospective study, including intervention therapies, are required to validate the results of this study.

The contribution of comorbidities to mortality in hospitalized patients with heart failure

BACKGROUND

Heart failure (HF) with reduced ejection fraction (HFrEF) has a worse prognosis than HF with preserved EF (HFpEF). The study aimed to evaluate whether different comorbidity profiles of HFrEF- and HFpEF-patients or HF-specific mechanisms contribute to a greater extent to this difference.

METHODS

We linked data from two health insurances to data from a cardiology clinic hospital information system. Patients with a hospitalization with HF in 2005-2011, categorized as HFrEF (EF < 45%) or HFpEF (EF ≥ 45%), were propensity score (PS) matched to controls without HF on comorbidites and medication to assure similar comorbidity profiles of patients and their respective controls. The balance of the covariates in patients and controls was compared via the standardized difference (SDiff). Age-standardized 1-year mortality rates (MR) with 95% confidence intervals (CI) were calculated.

RESULTS

777 HFrEF-patients (1135 HFpEF-patients) were PS-matched to 3446 (4832) controls. Balance between patients and controls was largely achieved with a SDiff < 0.1 on most variables considered. The age-standardized 1-year MRs per 1000 persons in HFrEF-patients and controls were 267.8 (95% CI 175.9-359.8) and 86.1 (95% CI 70.0-102.3). MRs in HFpEF-patients and controls were 166.2 (95% CI 101.5-230.9) and 61.5 (95% CI 52.9-70.1). Thus, differences in MRs between patients and their controls were higher for HFrEF (181.7) than for HFpEF (104.7).

CONCLUSIONS

Given the similar comorbidity profiles between HF-patients and controls, the higher difference in mortality rates between HFrEF-patients and controls points more to HF-specific mechanisms for these patients, whereas for HFpEF-patients a higher contribution of comorbidity is suggested by our results.