Predictability of Inpatient Mortality of Different Comorbidities in Both Types of Acute Decompensated Heart Failure: Analysis of National Inpatient Sample

Clinical Outcomes of Decompensated Heart Failure With Reduced Ejection Fraction Admissions With or Without Atrial Fibrillation and Atrial Flutter

The aim of our retrospective study is to determine the influence of co-morbid atrial fibrillation or flutter (AF) on decompensated congestive heart failure (CHF) admissions using data from the 2020 nationwide inpatient sample. We identified 76,835 adults admitted nonelectively with decompensated CHF. After multivariate adjustment, we found decompensated heart failure with reduced ejection fraction (HFrEF) admissions with AF had 37% higher odds of in-hospital mortality, (OR 1.38 [95% CI 1.1-1.72] P < 0.01), 33% higher odds for mechanical ventilation (MV) (OR 1.33 [95% CI 1.14-1.55] P < 0.01), 39% higher odds of early MV (OR 1.39 [95% CI 1.16-1.66] P < 0.01), 54% higher odds of cardiogenic shock (OR 1.54 [95% CI 1.29-1.84] P < 0.01), 61% increased odds of mechanical circulatory support (MCS) requirement (OR 1.61 [95% CI 1.12-2.31] P < 0.02), significantly higher odds of acute renal failure (AKI) necessitating dialysis (OR 2.20 [95% CI 1.39-2.48] P < 0.01), 1-day increase in mean length of stay (LOS) (6.7 vs 5.7 days, adjusted difference: 0.99, P < 0.01), $13,281 increase in total hospitalization charges ($84,316 vs $74,279, adjusted difference: $13,281, P < 0.05) compared to the non-AF cohort. Moreover, we found decompensated heart failure with preserved ejection fraction (HFpEF) admissions with AF had a 23% increased odds of MV (OR 1.23 [95% CI 1.01-1.50] P < 0.01), 24% higher odds of early MV (OR 1.24 [95% CI 1.00-1.53] P < 0.01), 0.36 days increase in mean LOS (5.5 vs 5.2 days, adjusted difference: 0.36, P = < 0.01), but no significant difference in in-hospital mortality (OR 1.23 [95% CI 0.86-1.75] P = 0.25), cardiogenic shock (OR 1.75 [95% CI 0.96-3.19] P < 0.07), dialysis-dependent AKI (OR 0.46 [95% CI 0.18-1.17] P < 0.10), or mean total hospitalization charges ($52,086 vs $47,990, adjusted difference: $5584, P = 0.06) compared to the non-AF cohort.

Incidence of atrial and ventricular arrhythmias in obese patients with heart failure with reduced ejection fraction treated with sacubitril/valsartan

AIM

To compare clinical outcomes among patients with heart failure and reduced ejection fraction (HFrEF) according to body mass index (BMI) after initiating treatment with an angiotensin-receptor neprilysin inhibitor (ARNI).

METHODS

We gathered data from 2016 to 2020 at the University Medical Center Mannheim; 208 consecutive patients were divided into two groups according to BMI (< 30 kg/m2 ; n = 116, ≥ 30 kg/m2 ; n = 92). Clinical outcomes, including mortality rate, all-cause hospitalizations and congestion, were systematically analysed.

RESULTS

At the 12-month follow-up, the mortality rate was similar in both groups (7.9% in BMI < 30 kg/m2 vs. 5.6% in BMI ≥ 30 kg/m2 ; P = .76). All-cause hospitalization before ARNI treatment was comparable in both groups (63.8% in BMI < 30 kg/m2 vs. 57.6% in BMI ≥ 30 kg/m2 ; P = .69). After ARNI treatment, the hospitalization rate was also comparable in both groups at the 12-month follow-up (52.2% in BMI < 30 kg/m2 vs. 53.7% in BMI ≥ 30 kg/m2 ; P = .73). Obese patients experienced more congestion compared with non-obese patients at follow-up, without statistical significance (6.8% in BMI < 30 kg/m2 vs. 15.5% in BMI ≥ 30 kg/m2 ; P = .11). Median left ventricular ejection fraction (LVEF) improved in both groups, but significantly more in non-obese compared with obese patients at the 12-month follow-up (from 26% [3%-45%] [min.-max.] vs. 29% [10%-45%] [min.-max.] [P = .56] to 35.5% [15%-59%] [min.-max.] vs. 30% [13%-50%] [min.-max.] [P = .03], respectively). The incidence of atrial fibrillation (AF), non-sustained (ns) and sustained ventricular tachycardia (VT) and ventricular fibrillation (VF) was less in non-obese than in obese patients after initiation of sacubitril/valsartan at the 12-month follow-up (AF: 43.5% vs. 53.7%; P = .20; nsVT: 9.8% vs. 28.4%; P = .01; VT: 14.1% vs. 17.9%; P = .52; VF: 7.6% vs. 13.4%; P = .23).

CONCLUSIONS

The incidence of congestion in obese patients was higher compared with non-obese patients. LVEF improved significantly more in non-obese compared with obese HFrEF patients. Furthermore, AF and the ventricular tachyarrhythmia rate were revealed more in obesity compared with those without obesity at the 12-month follow-up.

Worse In-Hospital Outcomes Among Patients With Heart Failure (HF) and Concomitant Influenza Infection

INTRODUCTION

 A sizable proportion of heart failure (HF) admissions is precipitated by respiratory infections. Influenza has been linked to higher rates of HF hospitalizations and in-hospital morbidity and mortality.

AIM/OBJECTIVE

 We aim to describe the in-hospital outcomes of systolic HF vs. diastolic HF admissions with concomitant influenza infection in US hospitalizations from 2016 to 2017.  Materials and Methods: We queried the National Inpatient Sample (NIS) from 2016 to 2017 for discharge diagnosis for SHF and DHF and influenza per ICD-10 CM codes. Using binominal logistic regression analysis and adjusting for demographic and comorbid conditions, we compared the outcomes of SHF vs. DHF admissions with concomitant influenza as an independent risk factor for inpatient mortality, acute respiratory failure, ICU admission, assisted ventilation, as well as length of stay, and total hospital costs.

RESULTS

 A total of 7,490,596 HF weighted admissions were analyzed, among which 0.9% had concomitant influenza infection. SHF and DHF admissions with influenza had higher mortality, ICU admission, ventilation assistance, and acute respiratory failure when compared to those without influenza. Among influenza admissions, those with SHF had higher mortality (6.6% vs. 5%, adjusted odds ratio - aOR 1.31, p<0.001) compared to DHF. While intensive care unit (ICU) admission (7.8% vs. 5.2%, aOR 1.30, p<0.001) and ventilation assistance rates (22.1% vs. 18.9%, aOR 1.15, p<0.001) were greater among SHF patients with influenza, acute respiratory failure was more common amongst diastolic HF with influenza (46.6% vs. 51.2%, aOR 0.86, p<0.001). Finally, SHF patients with concomitant influenza had higher inpatient costs ($82,788) when compared to diastolic HF patients ($66,373) and a longer in-hospital stay (7.29 days compared to 6.98 days in the diastolic HF group) p <0.001.

CONCLUSION

 Concomitant influenza infection in hospitalized patients with HF is associated with higher mortality, ICU admission, and the need for assisted ventilation, especially in those with SHF. A greater emphasis on vaccination against influenza may improve in-patient outcomes among HF patients.

Impact of COPD and asthma on in-hospital mortality and management of patients with heart failure in England and Wales: an observational analysis

OBJECTIVE

To evaluate the association between having concomitant chronic obstructive pulmonary disease (COPD) or asthma, and in-patient mortality and post-discharge management among patients hospitalised for acute heart failure (HF).

SETTING

Data were obtained from patients enrolled in the National Heart Failure Audit.

PARTICIPANTS

217 329 patients hospitalised for HF in England-Wales between March 2012 and 2018.

OUTCOMES

In-hospital mortality, referrals to cardiology follow-up and prescriptions for HF medications were compared between patients with comorbid COPD (COPD-HF) or asthma (asthma-HF) versus HF-alone using mixed-effects logistic regression.

RESULTS

Patients with COPD-HF were more likely to die during hospitalisation, and those with asthma-HF had a reduced likelihood of death, compared with patients who had HF-alone ((adjusted)OR_adj, 95% CI: 1.10, 1.06 to 1.14 and OR_adj, 95% CI: 0.84, 0.79 to 0.88). In patients who survived to discharge, referral to HF follow-up services differed between groups: patients with COPD-HF had reduced odds of cardiology follow-up (OR_adj, 95% CI 0.79, 0.77 to 0.81), while cardiology referral odds for asthma-HF were similar to HF-alone. Overall, proportions of HF medication prescriptions at discharge were low for both COPD-HF and asthma-HF groups, particularly prescriptions for beta-blockers.

CONCLUSIONS

In this nationwide analysis, we showed that COPD and asthma significantly impact the clinical course in patients hospitalised for HF. COPD is associated with higher in-patient mortality and lower cardiology referral odds, while COPD and asthma are both associated with lower use of prognostic HF therapies on discharge. These data highlight therapeutic gaps and a need for better integration of cardiopulmonary services to improve healthcare provision for patients with HF and coexisting respiratory disease.

Prognostic impact of diabetes in chronic and acute heart failure

A strong, bidirectional relationship exists between diabetes mellitus (DM) and heart failure (HF) and DM is responsible of the activation of several molecular and pathophysiological mechanisms that may, on the long term, damage the heart. However, the prognostic role of DM in the context of chronic and acute HF is still not yet defined and there are several gaps of evidence in the literature on this topic. These gaps are related to the wide phenotypic heterogeneity of patients with chronic and acute HF and to the concept that not all diabetic patients are the same, but there is the necessity to better characterize the disease and each single patient, also considering the role of other possible comorbidities. The aim of the present review is to summarize the pathophysiological mechanisms subtending the negative effect of DM in HF and analyze the available data exploring the prognostic impact of such comorbidity in both chronic and acute HF.