One-year mortality outcomes and hospital readmissions of patients admitted with acute heart failure: Data from the Trivandrum Heart Failure Registry in Kerala, India

Heart failure, the global pandemic: A call to action consensus statement from the global presidential conclave at the platinum jubilee conference of cardiological society of India 2023

Heart failure (HF) is emerging as a major public health problem both in high- and low - income countries. The mortality and morbidity due to HF is substantially higher in low-middle income countries (LMICs). Accessibility, availability and affordability issues affect the guideline directed therapy implementation in HF care in those countries. This call to action urges all those concerned to initiate preventive strategies as early as possible, so that we can reduce HF-related morbidity and mortality. The most important step is to have better prevention and treatment strategies for diseases such as hypertension, ischemic heart disease (IHD), type-2 diabetes, and rheumatic heart disease (RHD) which predispose to the development of HF. Setting up dedicated HF-clinics manned by HF Nurses, can help in streamlining HF care. Subsidized in-patient care, financial assistance for device therapy, use of generic medicines (including polypill strategy) will be helpful, along with the use of digital technologies.

Exploring the Need and Benefits of Digital Therapeutics (DTx) for the Management of Heart Failure in India

Indian heart failure (HF) registries consistently indicate high hospital readmissions and increased mortality rates after HF diagnosis. The challenges of Indian cardiologists in HF management include limited longitudinal data, frequent readmissions, low medication adherence, inadequate monitoring and follow-up, insufficient patient education, and lack of standard guidelines on cardiac rehabilitation. This article outlines the adoption of digital therapeutics (DTx) in HF management as a potential solution to address these challenges. DTx services offer improved medication adherence, early symptom identification, remote vital monitoring, timely intervention, patient education on symptoms, self-awareness, and lifestyle. Overall, DTx for HF comprises a dedicated team of cardiologists, health coaches, care managers, and globally certified connected devices to provide comprehensive and proactive monitoring, personalized coaching and support, behavioral engagement to improve adherence, emergency response system, delivery of medications and diagnostic tests at home, and a dedicated application for caregivers. DTx has the potential to enhance HF management in India.

Global Comparison of Readmission Rates for Patients With Heart Failure

BACKGROUND

Heart failure (HF) readmission rates are low in some jurisdictions. However, international comparisons are lacking and could serve as a foundation for identifying regional patient management strategies that could be shared to improve outcomes.

OBJECTIVES

This study sought to summarize 30-day and 1-year all-cause readmission and mortality rates of hospitalized HF patients across countries and to explore potential differences in rates globally.

METHODS

We performed a systematic review and meta-analysis using MEDLINE, Embase, and CENTRAL for observational reports on hospitalized adult HF patients at risk for readmission or mortality published between January 2010 and March 2021. We conducted a meta-analysis of proportions using a random-effects model, and sources of heterogeneity were evaluated with meta-regression.

RESULTS

In total, 24 papers reporting on 30-day and 23 papers on 1-year readmission were included. Of the 1.5 million individuals at risk, 13.2% (95% CI: 10.5%-16.1%) were readmitted within 30 days and 35.7% (95% CI: 27.1%-44.9%) within 1 year. A total of 33 papers reported on 30-day and 45 papers on 1-year mortality. Of the 1.5 million individuals hospitalized for HF, 7.6% (95% CI: 6.1%-9.3%) died within 30 days and 23.3% (95% CI: 20.8%-25.9%) died within 1 year. Substantial variation in risk across countries was unexplained by countries' gross domestic product, proportion of gross domestic product spent on health care, and Gini coefficient.

CONCLUSIONS

Globally, hospitalized HF patients exhibit high rates of readmission and mortality, and the variability in readmission rates was not explained by health care expenditure, risk of mortality, or comorbidities.

Noninvasive assessment of pulmonary congestion in heart failure: Need of the hour

Early pulmonary congestion detection and surveillance in acute heart failure patients can prevent decompensation, minimize hospitalizations, and improve prognosis. In India, the warm and wet types of HF are still the most common types and residual congestion at discharge is still a significant concern. Thus, there is an urgent need for a reliable and sensitive means of identifying residual and subclinical congestion. Two such monitoring systems are available and approved by US FDA. These include CardioMEMS HF System (Abbott, Sylmar, California) and ReDS System (Sensible Medical Innovations, Ltd., Nanya, Israel). CardioMEMS is a wireless pressure-sensitive implantable device, while ReDS is a wearable noninvasive device for measurement of the lung fluid and hence direct detection of PC. This review discusses the role of noninvasive assessment in PC monitoring in patients with heart failure and its implications from an Indian perspective.

Structural Model of Biomedical and Contextual Factors Predicting In-Hospital Mortality due to Heart Failure

Background: Among the clinical predictors of a heart failure (HF) prognosis, different personal factors have been established in previous research, mainly age, gender, anemia, renal insufficiency and diabetes, as well as mediators (pulmonary embolism, hypertension, chronic obstructive pulmonary disease (COPD), arrhythmias and dyslipidemia). We do not know the role played by contextual and individual factors in the prediction of in-hospital mortality. Methods: The present study has added hospital and management factors (year, type of hospital, length of stay, number of diagnoses and procedures, and readmissions) in predicting exitus to establish a structural predictive model. The project was approved by the Ethics Committee of the province of Almeria. Results: A total of 529,606 subjects participated, through databases of the Spanish National Health System. A predictive model was constructed using correlation analysis (SPSS 24.0) and structural equation models (SEM) analysis (AMOS 20.0) that met the appropriate statistical values (chi-square, usually fit indices and the root-mean-square error approximation) which met the criteria of statistical significance. Individual factors, such as age, gender and chronic obstructive pulmonary disease, were found to positively predict mortality risk. Isolated contextual factors (hospitals with a greater number of beds, especially, and also the number of procedures performed, which negatively predicted the risk of death. Conclusions: It was, therefore, possible to introduce contextual variables to explain the behavior of mortality in patients with HF. The size or level of large hospital complexes, as well as procedural effort, are key contextual variables in estimating the risk of mortality in HF.

Risk Factors with 30-Day Readmission and the Impact of Length of Hospital Stay on It in Patients with Heart Failure: A Retrospective Observational Study Using a Japanese National Database

Heart failure is a major disease, and its 30-day readmission (readmission within 30-day after discharge) negatively impacts patients and society. Thus, we need to stratify the risk and prevent readmission. We aimed to investigate risk factors associated with 30-day readmission and examine the impact of length of hospital stay (LOS) on 30-day readmission. Using the Diagnosis-Procedure-Combination database from April 2018 to March 2021, we conducted multiple logistic regression to investigate risk factors with 30-day readmission. Also, we conducted subgroup analysis in the short LOS group. To examine the association between LOS and 30-day readmission, we performed propensity score matching between the short and middle LOS groups. As a result, we categorized 10,283 patients and 169,842 patients into the readmission group and the no-readmission group. We identified the following factors as the risk of readmission: short LOS, female, smoking, older age, lower body mass index, lower barthel index, artificial ventilator, beta-blockers, thiazides, tolvaptan, loop diuretics, carperitides, class Ⅲ antiarrhythmic agents, myocardial infarction, diabetes, renal disease, atrial fibrillation, dilated cardiomyopathy, and discharge to home. As a subgroup analysis in the short LOS group, we revealed that the short LOS group risk factors differed from overall. After propensity score matching in the short LOS group and middle LOS group, 37,199 pairs were matched, and we revealed that shorter LOS increases the risk of readmission. These results demonstrated that shortened LOS increases 30-day readmission, and risk factors are unique to each LOS. We suggest stratifying the readmission risk and being careful with early discharge.

The Value of Admission Serological Indicators for Predicting 28-Day Mortality in Intensive Care Patients With Acute Heart Failure: Construction and Validation of a Nomogram

Background: Acute heart failure (AHF) is a severe clinical syndrome characterized as rapid onset or worsening of symptoms of chronic heart failure (CHF). Risk stratification for patients with AHF in the intensive care unit (ICU) may help clinicians to predict the 28-day mortality risk in this subpopulation and further raise the quality of care.

Methods: We retrospectively reviewed and analyzed the demographic characteristics and serological indicators of patients with AHF in the Medical Information Mart for Intensive Care III (MIMIC III) (version 1.4) between June 2001 and October 2012 and our medical center between January 2019 and April 2021. The chi-squared test and the Fisher's exact test were used for comparison of qualitative variables among the AHF death group and non-death group. The clinical variables were selected by using the least absolute shrinkage and selection operator (LASSO) regression. A clinical nomogram for predicting the 28-day mortality was constructed based on the multivariate Cox proportional hazard regression analysis and further validated by the internal and external cohorts.

Results: Age > 65 years [hazard ratio (HR) = 2.47], the high Sequential Organ Failure Assessment (SOFA) score (≥3 and ≤8, HR = 2.21; ≥9 and ≤20, HR = 3.29), lactic acid (Lac) (>2 mmol/l, HR = 1.40), bicarbonate (HCO3-) (>28 mmol/l, HR = 1.59), blood urea nitrogen (BUN) (>21 mg/dl, HR = 1.75), albumin (<3.5 g/dl, HR = 2.02), troponin T (TnT) (>0.04 ng/ml, HR = 4.02), and creatine kinase-MB (CK-MB) (>5 ng/ml, HR = 1.64) were the independent risk factors for predicting 28-day mortality of intensive care patients with AHF (p < 0.05). The novel nomogram was developed and validated with a promising C-index of 0.814 (95% CI: 0.754–0.882), 0.820 (95% CI: 0.721–0.897), and 0.828 (95% CI: 0.743–0.917), respectively.

Conclusion: This study provides a new insight in early predicting the risk of 28-day mortality in intensive care patients with AHF. The age, the SOFA score, and serum TnT level are the leading three predictors in evaluating the short-term outcome of intensive care patients with AHF. Based on the nomogram, clinicians could better stratify patients with AHF at high risk and make adequate treatment plans.

Mortality and Readmission Rates After Heart Failure: A Systematic Review and Meta-Analysis

Objective

The current work aimed to examine the rates of and risk factors for mortality and readmission after heart failure (HF).

Setting

A systematic search was carried out in PubMed, the Cochrane Library, and EMBASE to identify eligible reports. The random-effects model was utilized to evaluate the pooled results.

Participants

A total of 27 studies with 515,238 participants were finally meta-analysed. The HF patients had an average age of 76.3 years, with 51% of the sample being male, in the pooled analysis.

Primary and Secondary Outcome Measures

The outcome measures were 30-day and 1-year readmission rates, mortality, and risk factors for readmission and mortality.

Results

The effect sizes for readmission and mortality were estimated as the mean and 95% confidence interval (CI). The estimated 30-day and 1-year all-cause readmission rates were 0.19 (95% CI 0.14-0.23) and 0.53 (95% CI 0.46-0.59), respectively, while the all-cause mortality rates were 0.14 (95% CI 0.10-0.18) and 0.29 (95% CI 0.25-0.33), respectively. Comorbidities were highly prevalent in individuals with HF.

Conclusion

Heart failure hospitalization is followed by high readmission and mortality rates.

Successful Treatment of Severe Heart Failure in Advanced Diabetic Kidney Disease Using Angiotensin-neprilysin Inhibitors (Sacubitril/Valsartan) - Report of Two Cases with Review of Options in Literature

Patients with heart failure (HF) and advanced chronic kidney disease (CKD) constitute a special population that experience poor outcomes due to poor adherence to established therapies because of potential safety concerns. Role of newer agents like angiotensin–receptor neprilysin inhibitors (ARNI) in early stages of CKD is well elucidated. We report two cases of HF with reduced ejection fraction, who received ARNI in advanced stage of CKD (stage 5) and achieved remarkable outcomes in terms of quality of life and longevity.

Presentation, Management, and In-Hospital Outcomes of Patients with Acute Heart Failure in South India by Sex: A Secondary Analysis of a Prospective, Interrupted Time Series Study

Background

Sex differences in presentation, management, and outcomes of heart failure (HF) have been observed, but it is uncertain whether these differences exist in South India.

Objective

We describe sex differences in presentation, management, and in-hospital outcomes in patients hospitalized with HF in South India and explore sex-based differences in the effect of the quality improvement intervention in a secondary analysis of a prospective, interrupted time series study.

Methods

The Heart Failure Quality Improvement in Kerala (HF QUIK) study evaluated the effect of a quality improvement toolkit on process of care measures and clinical outcomes in patients hospitalized with HF in eight hospitals in Kerala using an interrupted time series design from February 2018 to August 2018. The primary outcome was guideline-directed medical therapy (GDMT) at hospital discharge for patients with HF with reduced ejection fraction (HFrEF). We performed sex-stratified analyses using mixed effect logistic regression models.

Results

Among 1,400 patients, 536 (38.3%) were female. Female patients were older (69.6 vs. 65 years, p < 0.001), were less likely to have an ischemic etiology of HF (control period: 78.2% vs. 87.5%; intervention period: 83.6% vs. 91.5%; p < 0.05 for both) and were less likely to undergo coronary angiography or percutaneous coronary intervention. The quality improvement intervention had similar effects on the odds of GDMT at discharge in females with HFrEF (adjusted OR 1.79, 95% CI 0.92, 3.47) and males with HFrEF (adjusted OR 1.68, 95% CI 1.07, 2.64, pinteraction = 0.69).

Conclusions

We observed sex-specific differences in presentation and procedural management of patients with HF but no differences in the effect of the quality improvement intervention on discharge GDMT rates. Both male and female patients with HFrEF remained undertreated in the study intervention period, demonstrating the need for implementation strategies to close the HFrEF treatment gap in South India.

Clinical characteristic, red blood cell indices, iron profile and prognosis of heart failure in females

Background: Heart failure is a leading killer worldwide, with concurrent anaemia and iron deficiency portending sepulchral prognosis. Anaemia is rampant, with 53% prevalence in Indian females, but iron deficiency can be present even without anaemia. Therefore, this study was planned to determine the clinical profile, red blood cell indices, and effects of iron deficiency, on the course and prognosis of heart failure in Indian females.

Materials and methods: This was a hospital-based observational study, conducted at a tertiary care teaching institute in India. Data from 147 females enrolled in the study between September 2017 to March 2020 was collected out of all patients enrolled in ongoing heart failure registry at the institute. Clinical characteristics at presentation, iron profile, red blood cell indices, treatment and mortality data was collected.

Results: Mean age of the subjects (n = 147) was 53.31 ± 17.1 years with 55% non-rheumatic and 45% with rheumatic heart disease. The patients with rheumatic heart disease were younger, with a higher prevalence of atrial fibrillation. Non-rheumatic patients had a higher prevalence of CV risk factors like diabetes, hypertension, renal failure, more patients in NYHA IV, and 83% patients had LVEF ≤40%. Anaemia was present in 49%, however iron deficiency was present in 89% (absolute iron deficiency in 80% and functional iron deficiency in 9%) with no significant difference between rheumatic and non-rheumatic group. Red blood cell indices showed no significant difference across the spectrum of iron deficiency and anaemia, except lower mean corpuscular volume in patients with both iron deficiency and anaemia. The mean survival time was 840 days, with no significant difference between groups. There was significantly higher mortality in patients with iron deficiency (log rank 0.045).

Conclusion: Iron deficiency–with or without anaemia–is very high in Indian females, worsening survival in heart failure. Proper diagnosis with iron supplementation will improve the prognosis.

Temporal changes of cardiac acoustic biomarkers and cardiac function in acute decompensated heart failure

AIMS

Relationships between cardiac acoustic biomarkers (CABs) measured by acoustic cardiography and clinical outcomes have been reported in heart failure (HF) patients. However, no studies have investigated the temporal change of CABs and the corresponding changes in HF status. The purpose of this study was to assess whether the temporal changes of CABs in patients with acute decompensated heart failure (ADHF) reflect changes in cardiac function and status.

METHODS AND RESULTS

Sixty ADHF patients were enrolled prospectively. CABs and echocardiography data were collected at admission, before discharge, and at the first clinic visit. CABs included electromechanical activation time (EMAT); the time interval from Q wave onset on electrocardiography to the first heart sound (S1), QoS2; the time interval from Q wave onset on electrocardiography to the second heart sound (S2); and third heart sound (S3) and fourth heart sound (S4) intensities, defined as the peak-to-peak amplitudes of S3 and S4. EMATc (EMAT/RR) (P = 0.001), S3 intensity (P < 0.001), and S4 intensity (P < 0.001) were significantly decreased, and QoS2 (P = 0.005) was significantly increased from admission to discharge. The change in S3 intensity was significantly correlated with that of E/A (ρ = 0.571, P < 0.001), and the extended QoS2 was also significantly correlated with the increase in the stroke volume index (ρ = 0.383, P = 0.004).

CONCLUSIONS

Some CABs in ADHF patients changed significantly in the normal direction throughout the treatment course and could be useful biomarkers in ADHF management.

Five-year mortality and readmission rates in patients with heart failure in India: Results from the Trivandrum heart failure registry

INTRODUCTION

Heart failure (HF) has emerged as an important and increasing disease burden in India. We present the 5-year outcomes of patients hospitalized for HF in India.

METHODS

The Trivandrum Heart Failure Registry (THFR) recruited consecutive patients admitted for acute HF among 16 hospitals in Trivandrum, Kerala in 2013. Guideline-directed medical therapy (GDMT) was defined as the combination of beta-blockers (BB), renin angiotensin system blockers (RAS), and mineralocorticoid receptor antagonists (MRA) in patients with HF with reduced ejection fraction (HFrEF, EF < 40%) at discharge. We used Cox proportional hazards models and Kaplan-Meier survival plots for analysis. The MAGGIC risk score variables were included as exposure variables.

RESULTS

Among 1205 patients [69% male, mean (SD) age = 61.2 (13.7) years], HFrEF constituted 62% of patients and among them, 25% received GDMT. The 5-year mortality rate was 59% (n = 709 deaths), and median survival was 3.1 years. Sudden cardiac death and pump failure caused 46% and 49% of the deaths, respectively. In the multivariate Cox model, components of GDMT associated with lower 5-year mortality risks were discharge prescription of BB, RAS blocker, and MRA. Older age, lower systolic blood pressure, NYHA class III or IV, and higher serum creatinine were also associated with higher 5-year mortality.

CONCLUSIONS

Three out of every 5 patients had died during 5-years of follow-up with a median survival of approximately 3 years. Lack of GDMT in patients with HFrEF and frequent readmissions were associated with higher 5-year mortality. Quality improvement programmes with strategies to improve adherence to GDMT and reduction in readmissions may improve HF outcomes in this region.

Effect of a quality improvement intervention for acute heart failure in South India: An interrupted time series study

BACKGROUND

Although quality improvement interventions for acute heart failure have been studied in high-income countries, none have been studied in low- or middle-income country settings where quality of care can be lower. We evaluated the effect of a quality improvement toolkit on process of care measures and clinical outcomes in patients hospitalized for acute heart failure in 8 hospitals in Kerala, India utilizing an interrupted time series design from February 2018 to August 2018.

METHODS

The quality improvement toolkit included checklists, audit-and-feedback reports, and patient education materials. The primary outcome was rate of discharge guideline-directed medical therapy for patients with heart failure with reduced ejection fraction. We used mixed effect logistic regression and interrupted time series models for analysis.

RESULTS

Among 1400 participants, mean (SD) age was 66.6 (12.2) years, and 38% were female. Mean (SD) left ventricular ejection fraction was 35.2% (9.7%). The primary outcome was observed in 41.3% of participants in the intervention period and 28.1% of participants in the control period (difference 13.2%; 95% CI 6.8, 19.0; adjusted OR = 1.70; 95% CI 1.17, 2.48). Interrupted time series model demonstrated highest rate of guideline-directed medical therapy at discharge in the initial weeks following intervention delivery with a concomitant decline over time. Improvements were observed in discharge process of care measures, including diet counseling, weight monitoring instructions, and scheduling of outpatient clinic follow-up but not hospital length of stay nor inpatient mortality.

CONCLUSIONS

Higher rates of guideline-directed medical therapy at discharge were observed in Kerala. Broader implementation of this quality improvement intervention may improve heart failure care in low- and middle-income countries.

Advanced heart failure beckons: where are the cardiologists?

Advanced Heart Failure is one of the leading causes of death and hospitalization worldwide. Its incidence is increasing steadily in India as well. Despite a huge need, not many cardiologists take heart failure as a career option. The present article seeks to explore the potential reasons for this lack of interest among cardiologists of the country. It also briefly attempts to suggest remedial actions.

Consensus and development of document for management of stabilized acute decompensated heart failure with reduced ejection fraction in India

Aim

Ensuring adherence to guideline-directed medical therapy (GDMT) is an effective strategy to reduce mortality and readmission rates for heart failure (HF). Use of a checklist is one of the best tools to ensure GDMT. The aim was to develop a consensus document with a robust checklist for stabilized acute decompensated HF patients with reduced ejection fraction. While there are multiple checklists available, an India-specific checklist that is easy to fill and validated by regional and national subject matter experts (SMEs) is required.

Methodology

A total of 25 Cardiology SMEs who consented to participate from India discussed data from literature, current evidence, international guidelines and practical experiences in two national and four regional meetings.

Results

Recommendations included HF management, treatment optimization, and patient education. The checklist should be filled at four time points- (a) transition from intensive care unit to ward, (b) at discharge, (c) 1st follow-up and (d) subsequent follow-up. The checklist is the responsibility of the consultant or the treating physician which can be delegated to a junior resident or a trained HF nurse.

Conclusion

This checklist will ensure GDMT, simplify transition of care and can be used by all doctors across India. Institutions, associations, and societies should recommend this checklist for adaptability in public and private hospital. Hospital administrations should roll out policy for adoption of checklist by ensuring patient files have the checklist at the time of discharge and encourage practice of filling it diligently during follow-up visits.

Consensus document: management of heart failure in type 2 diabetes mellitus

Type 2 diabetes mellitus (T2DM) is a known predisposing factor for heart failure (HF). The growing burden of these two conditions and their impact on health of the individual and on society in general needs urgent attention from the health care professionals. Availability of multiple treatment choices for managing T2DM and HF may make therapeutic decisions more complex for clinicians. Recent cardiovascular outcome trials of antidiabetic drugs have added very robust evidence to effectively manage subjects with this dual condition. This consensus statement provides the prevalence trends and the impact of this dual burden on patients. In addition, it concisely narrates the types of HF, the different treatment algorithms, and recommendations for physicians to comprehensively manage such patients.

Early and long-term outcomes of decompensated heart failure patients in a tertiary-care centre in India

AIM

Long-term outcome data of acute decompensated heart failure (HF) are scarce from India. The aim of the study was to collect in-hospital and long-term outcome data of HF patients admitted during 2001-2010 in a tertiary-care centre in South India.

METHODS AND RESULTS

Consecutive patients admitted with first episode of decompensated HF were part of the registry. Data regarding diagnosis, risk factors, treatment, early (in-hospital), and late (5 and 10year) mortality outcomes were captured. During this period, 1502 patients were admitted with first episode of decompensated HF [37.7% of women, mean age of 51.1 (SD = 14.3) years]. Common causes were ischaemic heart disease (36.2%), rheumatic heart disease (34.3%), and cardiomyopathies (9.9%). HF with reduced ejection fraction (HFrEF) was present in 26.9% of patients, and 33.8% had atrial arrhythmias. Diabetes, hypertension, and renal dysfunction were prevalent in 27.4%, 28.6%, and 37.4%, respectively. Median duration of hospitalization was 6 days (interquartile range: 3-10), and 247 patients (16.4%) died during index admission. The total time at risk was 6248 person years, and 1051 patients died during the study period with a median survival time of 3.7 years. Overall mortality rate was 16.8 per 100 person years (95% CI: 15.8-17.9 per 100 person years). Older age [hazard ratio (HR) = 1.08, 95% CI: 1.02-1.14, P = 0.007], anaemia (HR = 1.34, 95% CI: 1.08-1.65, P = 0.007), renal dysfunction (HR = 1.38, 95% CI: 1.20-1.59, P < 0.001), HFpEF (HR = 0.61, 95% CI: 0.52-0.73, P < 0.001 against HFrEF), and the use of guideline-directed therapies (GDT; beta blockers: HR = 0.57, 95% CI: 0.49-0.66, P < 0.0001; and angiotensin converting enzyme inhibitor/angiotensin receptor blocker: HR = 0.59, 95% CI: 0.51-0.69, P < 0.001) were important predictors of mortality. Patients with HF and mid-range EF also benefited from GDT.

CONCLUSION

In our cohort, ischaemic and rheumatic heart diseases were the leading contributors for HF. Anaemia, renal dysfunction, poor ejection fraction, and suboptimal prescriptions of GDT were the main predictors of long-term mortality. Both patients with HFrEF and mid-range EF benefited from GDT.

National Heart Failure Registry, India: Design and methods

Objective

Heart failure (HF) has emerged as a global public health problem that affects both low and high-income countries. The high HF burden and the need for resource-intensive treatments often lead to health system crisis in resource-poor settings. Data on prevailing practice patterns and long-term clinical outcomes of HF are scarce from the low and middle-income countries. Nationally representative HF data from India are not available.

Methods

The National Heart Failure Registry (NHFR) is a multicentric, hospital-based registry of HF patients from 53 centers across India. Consecutive patients admitted with the diagnosis of acute decompensated HF satisfying the European Society of Cardiology (ESC) 2016 criteria will be enrolled into the registry from January 2019 to December 2019. Each participating center is expected to contribute 200 patients into the registry (i.e., more than 10,000 HF patients from India). We are collecting demographics, clinical, laboratory, imaging, and other diagnostic data at baseline from all registered patients in the registry by using a structured document. Additionally, we are collecting the details of treatment practices and the usage of guideline-directed therapy from all participants. We intend to obtain the in-hospital, 3-months, 6-months and one-year outcome data on mortality, cause of death, and repeated hospitalization events.

Conclusions

In summary, NFHR will be the first nationally representative HF registry aimed at providing crucial information on prevailing etiology, distribution and current practices in the management of HF.

[Predictive factors of early readmission and mortality in patients with heart failure hospitalized in the Department of Internal Medicine of the San Carlos University Hospital, Spain]

INTRODUCTION

Heart failure (HF) is a health problem in Spain where the prevalence rate for this disease is correlated with aging. Heart failure-related mortality and hospital readmissions are high. The purpose of this study was to evaluate the clinical features of patients with HF hospitalized in the Department of Internal Medicine as well as factors associated with readmission and intra-hospital mortality.

METHODS

We conducted a cross-sectional, descriptive, and retrospective study based on the review of the clinical records of patients with primary diagnosis of HF in the Basic Minimum Set of Data (BMSD, Conjunto Mínimo Básico de Datos),who were discharged from the Department of Internal Medicine of the San Carlos Clinical Hospital (HCSC) in 2014.

RESULTS

The study involved 199 patients, with an average age of 82.7 years (61.8% were females); 85% of them had left ventricular ejection fraction (LVEF) > 40%, with an average pro-BNP of 9.101,3 pg/ml and 64.3% had ongoing atrial fibrillation. Thirty point two percent of patients were readmitted within 30 days, with an average rate of readmission/year of 1.45 (±0.86). Twenty five percent of patients died during the follow-up period in hospital. Among factors associated with intra-hospital mortality, older age was an associated variable (OR 1,050)(1,002-1,101) (p = 0.04). The most important factors associated with early readmission were polypharmacy (p = 0.024) as well as pluripathology based on Ollero criteria 4,974 (1,396-17,730) (p = 0.024). Patients hospitalized for HF in our Department are elderly patients treated with polymedication.

CONCLUSION

Patients hospitalized for cardiac insufficiency are older and are characterized by pluripathology and polypharmacy. Short-term prognosis is associated with high rates of readmission and mortality in hospitalmainly for patients suffering from kidney disease and/or neurological disorders.

Pre-hospital management protocols and perceived difficulty in diagnosing acute heart failure

Aim

To illustrate the pre‐hospital management arsenals and protocols in different EMS units, and to estimate the perceived difficulty of diagnosing suspected acute heart failure (AHF) compared with other common pre‐hospital conditions.

Methods and results

A multinational survey included 104 emergency medical service (EMS) regions from 18 countries. Diagnostic and therapeutic arsenals related to AHF management were reported for each type of EMS unit. The prevalence and contents of management protocols for common medical conditions treated pre‐hospitally was collected. The perceived difficulty of diagnosing AHF and other medical conditions by emergency medical dispatchers and EMS personnel was interrogated.

Ultrasound devices and point‐of‐care testing were available in advanced life support and helicopter EMS units in fewer than 25% of EMS regions. AHF protocols were present in 80.8% of regions. Protocols for ST‐elevation myocardial infarction, chest pain, and dyspnoea were present in 95.2, 80.8, and 76.0% of EMS regions, respectively. Protocolized diagnostic actions for AHF management included 12‐lead electrocardiogram (92.1% of regions), ultrasound examination (16.0%), and point‐of‐care testings for troponin and BNP (6.0 and 3.5%). Therapeutic actions included supplementary oxygen (93.2%), non‐invasive ventilation (80.7%), intravenous furosemide, opiates, nitroglycerine (69.0, 68.6, and 57.0%), and intubation 71.5%. Diagnosing suspected AHF was considered easy to moderate by EMS personnel and moderate to difficult by emergency medical dispatchers (without significant differences between de novo and decompensated heart failure). In both settings, diagnosis of suspected AHF was considered easier than pulmonary embolism and more difficult than ST‐elevation myocardial infarction, asthma, and stroke.

Conclusions

The prevalence of AHF protocols is rather high but the contents seem to vary. Difficulty of diagnosing suspected AHF seems to be moderate compared with other pre‐hospital conditions.

Predicting the 1-Year All-Cause Mortality After Hospitalisation for an Acute Heart Failure Event: A Real-World Derivation Cohort for the Development of the S2PLiT-UG Score

BACKGROUND

Acute heart failure (AHF) is a complex syndrome associated with high morbidity and mortality. This study aimed to derive a simple risk score with which to identify AHF patients at high risk for an all-cause death event during the first year after hospital discharge.

METHODS

Three hundred AHF patients from the Heart Failure registry were included in the analysis. Cox regression with a forward-conditional algorithm and bootstrapping procedure was used to build the prognostic score, while c-statistic was used to assess the prognostic performance of the score.

RESULTS

Seven variables were independently associated with an all-cause mortality event during the 1-year follow-up (FU): estimated glomerular filtration rate of 40-60; estimated glomerular filtration rate <40 mL/min/1.73 m²; uric acid >450 μmol/L; left-ventricular ejection fraction <45%; sodium <136 mmol/L; systolic blood pressure <115 mmHg; and a positive history of previous heart failure-related decompensation event(s). The score derived from significant variables enabled classification of patients into three risk categories: low (0-2 points), intermediate (3 points), and high (4-6 points). Observed all-cause mortality rates during the 1-year FU were 6.1%, 30.5%, and 80.9% across the three risk categories, respectively. The score demonstrated a high level of discrimination for an all-cause death event in the derivation cohort with the c-statistic value of 0.907 (95% CI, 0.867-0.939; p < 0.0001) and adequate calibration.

CONCLUSIONS

The S₂PLiT-UG score is a simple tool with potential for facilitating risk stratification and therapeutic decision-making during the first year after hospitalisation for an AHF event. Future external validation studies are required to confirm its prognostic performance.

Kerala acute heart failure registry-Rationale, design and methods

Heart failure (HF) is recognized as a major public health problem in both the low and high- income countries. However, data are scarce on the burden, prevailing practice patterns and long-term health outcomes of HF patients in India. The Kerala heart failure registry (KHFR) is a multi-centric, prospective, and hospital based registry in Kerala, India. Consecutive patients admitted with the diagnosis of acute heart failure satisfying the European Society of Cardiology (ESC) criteria will be enrolled in the registry. Data on demographic, clinical, laboratory, imaging, other diagnostics and therapeutic approaches employed and the usage of guideline based medical therapy will be collected as part of the registry. Additionally, all registered patients will be followed-up regularly at 1-month, and thereafter at every 3-months. Both mortality and hospital admission data will be collected during the follow-up visits. We will be recruiting 7500 HF patients in the KHFR. Once completed, KFHR is going to be the largest HF registry in India. We will validate a HF mortality risk score developed based on a previously conducted Trivandrum Heart Failure Registry in the KHFR patients.

In-Hospital and Three-Year Outcomes of Heart Failure Patients in South India: The Trivandrum Heart Failure Registry

BACKGROUND

Long-term data on outcomes of participants hospitalized with heart failure (HF) from low- and middle-income countries are limited.

METHODS AND RESULTS

In the Trivandrum Heart Failure Registry (THFR) in 2013, 1205 participants from 18 hospitals in Trivandrum, India, were enrolled. Data were collected on demographics, clinical presentation, treatment, and outcomes. We performed survival analyses, compared groups and evaluated the association between heart failure (HF) type and mortality, adjusting for covariates that predicted mortality in a global HF risk score. The mean (standard deviation) age of participants was 61.2 (13.7) years. Ischemic heart disease was the most common cause (72%). The in-hospital mortality rate was higher for participants with HF with reduced ejection fraction (HFrEF; 9.7%) compared with those with HF with preserved ejection fraction (HFpEF; 4.8%; P = .003). After 3 years, 540 (44.8%) participants had died. The all-cause mortality rate was lower for participants with HFpEF (40.8%) compared with HFrEF (46.2%; P = .049). In multivariable models, older age (hazard ratio [HR] 1.24 per decade, 95% confidence interval [CI] 1.15-1.33), New York Heart Association functional class IV symptoms (HR 2.80, 95% CI 1.43-5.48), and higher serum creatinine (HR 1.12 per mg/dL, 95% CI 1.04-1.22) were associated with all-cause mortality.

CONCLUSIONS

Participants with HF in the THFR have high 3-year all-cause mortality. Targeted hospital-based quality improvement initiatives are needed to improve survival during and after hospitalization for HF.

Management protocols for chronic heart failure in India

Heart failure is a common clinical syndrome and a global health priority. The burden of heart failure is increasing at an alarming rate worldwide as well as in India. Heart failure not only increases the risk of mortality, morbidity and worsens the patient's quality of life, but also puts a huge burden on the overall healthcare system. The management of heart failure has evolved over the years with the advent of new drugs and devices. This document has been developed with an objective to provide standard management guidance and simple heart failure algorithms to aid Indian clinicians in their daily practice. It would also inform the clinicians on the latest evidence in heart failure and provide guidance to recognize and diagnose chronic heart failure early and optimize management.