Insuficiencia cardíaca en tiempo de pandemia por COVID-19

2021 ◽  
pp. 1-3
Author(s):  
Flavio López-Miro-Espinosa
Keyword(s):  
Heart Failure ◽  
Hospital Admissions ◽  
Decompensated Heart Failure ◽  
Advanced Heart Failure ◽  
Heart Failure Unit ◽  
Acutely Decompensated Heart Failure ◽  
Outpatient Visits ◽  
Vulnerable Patients ◽  
Insuficiencia Cardiaca

<b>Background:</b> Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has emerged as a new threat to healthcare systems. In this setting, heart failure units have faced an enormous challenge: taking care of their patients while at the same time avoiding patients’ visits to the hospital. <b>Objective:</b> The aim of this study was to evaluate the results of a follow-up protocol established in an advanced heart failure unit at a single center in Spain during the coronavirus disease 2019 (COVID-19) pandemic. <b>Methods:</b> During March and April 2020, a protocolized approach was implemented in our unit to reduce the number of outpatient visits and hospital admissions throughout the maximum COVID-19 spread period. We compared emergency room (ER) visits, hospital admissions, and mortality with those of January and February 2020. <b>Results:</b> When compared to the preceding months, during the COVID pandemic there was a 56.5% reduction in the ER visits and a 46.9% reduction in hospital admissions, without an increase in mortality (9 patients died in both time periods). A total of 18 patients required a visit to the outpatient clinic for decompensation of heart failure or others. <b>Conclusion:</b> Our study suggests that implementing an active-surveillance protocol in acutely decompensated heart failure units during the SARS-CoV-2 pandemic can reduce hospital admissions, ER visits and, potentially, viral transmission, in a cohort of especially vulnerable patients.

scholarly journals Heart Failure in the Time of COVID-19

Cardiology ◽  
2020 ◽  
Vol 145 (8) ◽  
pp. 481-484 ◽  
Author(s):  
Marta Jiménez-Blanco Bravo ◽  
David Cordero Pereda ◽  
Diego Sánchez Vega ◽  
Susana del Prado Díaz ◽  
Juan Manuel Monteagudo Ruiz ◽  
...  
Keyword(s):  
Heart Failure ◽  
Hospital Admissions ◽  
Decompensated Heart Failure ◽  
Healthcare Systems ◽  
Advanced Heart Failure ◽  
Heart Failure Unit ◽  
Acutely Decompensated Heart Failure ◽  
Outpatient Visits ◽  
Vulnerable Patients

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has emerged as a new threat to healthcare systems. In this setting, heart failure units have faced an enormous challenge: taking care of their patients while at the same time avoiding patients’ visits to the hospital. Objective: The aim of this study was to evaluate the results of a follow-up protocol established in an advanced heart failure unit at a single center in Spain during the coronavirus disease 2019 (COVID-19) pandemic. Methods: During March and April 2020, a protocolized approach was implemented in our unit to reduce the number of outpatient visits and hospital admissions throughout the maximum COVID-19 spread period. We compared emergency room (ER) visits, hospital admissions, and mortality with those of January and February 2020. Results: When compared to the preceding months, during the COVID pandemic there was a 56.5% reduction in the ER visits and a 46.9% reduction in hospital admissions, without an increase in mortality (9 patients died in both time periods). A total of 18 patients required a visit to the outpatient clinic for decompensation of heart failure or others. Conclusion: Our study suggests that implementing an active-surveillance protocol in acutely decompensated heart failure units during the SARS-CoV-2 pandemic can reduce hospital admissions, ER visits and, potentially, viral transmission, in a cohort of especially vulnerable patients.

scholarly journals Lack of Diuretic Efficiency (but Not Low Diuresis) Early in An Acutely Decompensated Heart Failure Episode Is Associated with Increased 180-Day Mortality

2017 ◽  
Vol 7 (2) ◽  
pp. 137-149 ◽  
Author(s):  
João Pedro Ferreira ◽  
Nicolas Girerd ◽  
Pedro Bettencourt Medeiros ◽  
Miguel Bento Ricardo ◽  
Tiago Almeida ◽  
...  
Keyword(s):  
Heart Failure ◽  
Emergency Room ◽  
Decompensated Heart Failure ◽  
University Hospital ◽  
Acutely Decompensated Heart Failure ◽  
All Cause Mortality ◽  
Diuretic Efficiency ◽  
Relevant Variables ◽  
Emergency Room Admission

Introduction: The assessment of the amount of urine produced by the dose of administered diuretic has been proposed as the main signal of interest in diuretic responsiveness - diuretic efficiency (DE). The main aim of our study is to determine if a low DE is associated with 180-day all-cause mortality (ACM). Methods: During a 3-year period, we retrospectively studied patients with acutely decompensated heart failure (ADHF) and respiratory insufficiency admitted to the emergency room of a tertiary university hospital in Porto, Portugal. A total of 170 patients (age 76.2 ± 10.3 years) were included. The outcome of ACM occurred in 43 (25.3%) patients during the 180-day follow-up period. DE was evaluated for a maximum of 3 h after emergency room admission. The lowest DE was defined as ≤140 mL of diuresis per 40 mg of furosemide equivalents. Results: No significant differences in age, comorbidities, baseline HF symptoms, or disease-modifying medication were found between the lowest and highest DE groups. The lowest DE group had higher blood urea and lower estimated glomerular filtration rate (eGFR) levels (41.3 ± 24.5 vs. 56.7 ± 23.2 mL/min/1.73 m2, p < 0.001). The patients with the lowest DE had significantly higher rates of ACM during the 180-day follow-up, even after adjustment for other clinically relevant variables: hazard ratio (HR) [95% CI] = 2.31 [1.16-4.58], p = 0.016. The lowest diuresis (≤300 mL) and the highest intravenous furosemide dose (>80 mg) alone were not significantly associated with the outcome. After adjustment for N-terminal prohormone of brain natriuretic peptide, the association between the lowest DE and the outcome lost strength (HR [95% CI] = 1.53 [0.75-3.13], p = 0.240). Conclusion: A low DE (≤140 mL/40 mg of furosemide) in the first 3 h after an ADHF episode was associated with increased mid-term mortality rates.

scholarly journals Effects of Metolazone Administration on Congestion, Diuretic Response and Renal Function in Patients with Advanced Heart Failure

2021 ◽  
Vol 10 (18) ◽  
pp. 4207
Author(s):  
Alberto Palazzuoli ◽  
Gaetano Ruocco ◽  
Paolo Severino ◽  
Luigi Gennari ◽  
Filippo Pirrotta ◽  
...  
Keyword(s):  
Heart Failure ◽  
Renal Function ◽  
Acute Decompensated Heart Failure ◽  
Nyha Class ◽  
Decompensated Heart Failure ◽  
Advanced Heart Failure ◽  
Loop Diuretics ◽  
Reduced Ejection Fraction ◽  
Diuretic Response

Background: Advanced heart failure (HF) is a condition often requiring elevated doses of loop diuretics. Therefore, these patients often experience poor diuretic response. Both conditions have a detrimental impact on prognosis and hospitalization. Aims: This retrospective, multicenter study evaluates the effect of the addition of oral metolazone on diuretic response (DR), clinical congestion, NTproBNP values, and renal function over hospitalization phase. Follow-up analysis for a 6-month follow-up period was performed. Methods: We enrolled 132 patients with acute decompensated heart failure (ADHF) in advanced NYHA class with reduced ejection fraction (EF < 40%) taking a mean furosemide amount of 250 ± 120 mg/day. Sixty-five patients received traditional loop diuretic treatment plus metolazone (Group M). The mean dose ranged from 7.5 to 15 mg for one week. Sixty-seven patients continued the furosemide (Group F). Congestion score was evaluated according to the ESC recommendations. DR was assessed by the formula diuresis/40 mg of furosemide. Results: Patients in Group M and patients in Group F showed a similar prevalence of baseline clinical congestion (3.1 ± 0.7 in Group F vs. 3 ± 0.8 in Group M) and chronic kidney disease (CKD) (51% in Group M vs. 57% in Group F; p = 0.38). Patients in Group M experienced a better congestion score at discharge compared to patients in Group F (C score: 1 ± 1 in Group M vs. 3 ± 1 in Group F p > 0.05). Clinical congestion resolution was also associated with weight reduction (−6 ± 2 in Group M vs. −3 ± 1 kg in Group F, p < 0.05). Better DR response was observed in Group M compared to F (940 ± 149 mL/40 mgFUROSEMIDE/die vs. 541 ± 314 mL/40 mgFUROSEMIDE/die; p < 0.01), whereas median ΔNTproBNP remained similar between the two groups (−4819 ± 8718 in Group M vs. −3954 ± 5560 pg/mL in Group F NS). These data were associated with better daily diuresis during hospitalization in Group M (2820 ± 900 vs. 2050 ± 1120 mL p < 0.05). No differences were found in terms of WRF development and electrolyte unbalance at discharge, although Group M had a significant saline solution administration during hospitalization. Follow-up analysis did not differ between the group but a reduced trend for recurrent hospitalization was observed in the M group (26% vs. 38%). Conclusions: Metolazone administration could be helpful in patients taking an elevated loop diuretics dose. Use of thiazide therapy is associated with better decongestion and DR. Current findings could suggest positive insights due to the reduced amount of loop diuretics in patients with advanced HF.

scholarly journals Iron status and inflammatory biomarkers in patients with acutely decompensated heart failure: early in-hospital phase and 30-day follow-up

2017 ◽  
Vol 19 (8) ◽  
pp. 1075-1076 ◽  
Author(s):  
Lucas N.L. Van Aelst ◽  
Marjorie Abraham ◽  
Malha Sadoune ◽  
Thibaud Lefebvre ◽  
Philippe Manivet ◽  
...  
Keyword(s):  
Heart Failure ◽  
Iron Status ◽  
Decompensated Heart Failure ◽  
Inflammatory Biomarkers ◽  
Acutely Decompensated Heart Failure

scholarly journals Biomarkers-based personalized follow-up in chronic heart failure improves patient’s outcomes and reduces care associate cost

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Antonio Leon-Justel ◽  
Jose I. Morgado Garcia-Polavieja ◽  
Ana Isabel Alvarez-Rios ◽  
Francisco Jose Caro Fernandez ◽  
Pedro Agustin Pajaro Merino ◽  
...  
Keyword(s):  
Heart Failure ◽  
Hospital Admissions ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Secondary Outcome ◽  
Ventricular Ejection Fraction ◽  
Number Of Patients ◽  
Ed Visits ◽  
The Impact

Abstract Background Heart failure (HF) is a major and growing medical and economic problem, with high prevalence and incidence rates worldwide. Cardiac Biomarker is emerging as a novel tool for improving management of patients with HF with a reduced left ventricular ejection fraction (HFrEF). Methods This is a before and after interventional study, that assesses the impact of a personalized follow-up procedure for HF on patient’s outcomes and care associated cost, based on a clinical model of risk stratification and personalized management according to that risk. A total of 192 patients were enrolled and studied before the intervention and again after the intervention. The primary objective was the rate of readmissions, due to a HF. Secondary outcome compared the rate of ED visits and quality of life improvement assessed by the number of patients who had reduced NYHA score. A cost-analysis was also performed on these data. Results Admission rates significantly decreased by 19.8% after the intervention (from 30.2 to 10.4), the total hospital admissions were reduced by 32 (from 78 to 46) and the total length of stay was reduced by 7 days (from 15 to 9 days). The rate of ED visits was reduced by 44% (from 64 to 20). Thirty-one percent of patients had an improved functional class score after the intervention, whereas only 7.8% got worse. The overall cost saving associated with the intervention was € 72,769 per patient (from € 201,189 to € 128,420) and €139,717.65 for the whole group over 1 year. Conclusions A personalized follow-up of HF patients led to important outcome benefits and resulted in cost savings, mainly due to the reduction of patient hospitalization readmissions and a significant reduction of care-associated costs, suggesting that greater attention should be given to this high-risk cohort to minimize the risk of hospitalization readmissions.

External validation of a heart failure risk prediction model in a remote monitoring cohort submitted to cardiac resynchronization therapy

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
I Cardoso ◽  
M Coutinho ◽  
G Portugal ◽  
A Valentim ◽  
A.S Delgado ◽  
...  
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
High Risk ◽  
Remote Monitoring ◽  
Hospital Admissions ◽  
External Validation ◽  
Left Ventricular Ejection ◽  
National Database ◽  
Failure Risk

Abstract Background Patients (P) submitted to cardiac ressynchronization therapy (CRT) are at high risk of heart failure (HF) events during follow-up. Continuous analysis of various physiological parameters, as reported by remote monitoring (RM), can contribute to point out incident HF admissions. Tailored evaluation, including multi-parameter modelling, may further increase the accuracy of such algorithms. Purpose Independent external validation of a commercially available algorithm (“Heart Failure Risk Status” HFRS, Medtronic, MN USA) in a cohort submitted to CRT implantation in a tertiary center. Methods Consecutive P submitted to CRT implantation between January 2013 and September 2019 who had regular RM transmissions were included. The HFRS algorithm includes OptiVol (Medtronic Plc., MN, USA), patient activity, night heart rate (NHR), heart rate variability (HRV), percentage of CRT pacing, atrial tachycardia/atrial fibrillation (AT/AF) burden, ventricular rate during AT/AF (VRAF), and detected arrhythmia episodes/therapy delivered. P were classified as low, medium or high risk. Hospital admissions were systematically assessed by use of a national database (“Plataforma de Dados de Saúde”). Accuracy of the HFRS algorithm was evaluated by random effects logistic regression for the outcome of unplanned hospital admission for HF in the 30 days following each transmission episode. Results 1108 transmissions of 35 CRT P, corresponding to 94 patient-years were assessed. Mean follow-up was 2.7 yrs. At implant, age was 67.6±9.8 yrs, left ventricular ejection fraction 28±7.8%, BNP 156.6±292.8 and NYHA class &gt;II in 46% of the P. Hospital admissions for HF were observed within 30 days in 9 transmissions. Stepwise increase in HFRS was significantly associated with higher risk of HF admission (odds ratio 12.7, CI 3.2–51.5). HFRS had good discrimination for HF events with receiving-operator curve AUC 0.812. Conclusions HFRS was significantly associated with incident HF admissions in a high-risk cohort. Prospective use of this algorithm may help guide HF therapy in CRT recipients. Funding Acknowledgement Type of funding source: None

scholarly journals How different combinations of comorbidities affect healthcare use by elderly patients with obstructive lung disease

2021 ◽  
Vol 31 (1) ◽  
Author(s):  
Alessandra Buja ◽  
Andrea Bardin ◽  
Giulia Grotto ◽  
Stefania Elvini ◽  
Pietro Gallina ◽  
...  
Keyword(s):  
Heart Failure ◽  
Elderly Patients ◽  
Lung Disease ◽  
Ambulatory Care ◽  
Obstructive Lung Disease ◽  
Hospital Admissions ◽  
Large Population ◽  
Healthcare Resources ◽  
Outpatient Visits ◽  
Common Causes

AbstractPrevious research had shown the number of comorbidities is a major factor influencing the burden of care for elderly patients with obstructive lung disease (OLD). This retrospective cohort study on a large population of elderly patients (age > 65 years) with OLD in northern Italy measures the use of healthcare resources associated with the most frequent combinations of comorbidities and investigates the most common reasons for hospitalization. Total health costs, pharmacy costs, emergency department (ED) visits, outpatient visits, and hospital admissions are assessed for every subject. The most common causes of hospitalization by a number of comorbidities and the most common sets of three comorbidities are identified. For each comorbidity group, we rank a list of the most frequent causes of hospitalization, both overall and avoidable with effective ambulatory care. A small group of patients suffering from major comorbidities accounts for the use of most healthcare resources. The most frequent causes of hospitalization are respiratory failure, heart failure, chronic bronchitis, and bronchopneumonia. The most common conditions manageable with ambulatory care among causes of hospitalizations are heart failure, bacterial pneumonia, and COPD. The set of three comorbidities responsible for the highest average total costs, and the highest average number of hospitalizations and outpatient visits comprised hypertension, cardiac arrhythmias, and heart failure. The main reasons for hospitalization proved to remain linked to heart failure and acute respiratory disease, regardless of specific combinations of comorbidities. Based on these findings, specific public health interventions among patients with OLD cannot be advised on the basis of specific sets of comorbidities only.

scholarly journals Invasive Devices and Sensors for Remote Care of Heart Failure Patients

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2014
Author(s):  
Sumant P. Radhoe ◽  
Jesse F. Veenis ◽  
Jasper J. Brugts
Keyword(s):  
Heart Failure ◽  
Remote Monitoring ◽  
Hospital Admissions ◽  
Acute Decompensated Heart Failure ◽  
Admission Rate ◽  
Decompensated Heart Failure ◽  
Hospital Admission Rate ◽  
Remote Care ◽  
New Sensors ◽  
Near Future

The large and growing burden of chronic heart failure (CHF) on healthcare systems and economies is mainly caused by a high hospital admission rate for acute decompensated heart failure (HF). Several remote monitoring techniques have been developed for early detection of worsening disease, potentially limiting the number of hospitalizations. Over the last years, the scope has been shifting towards the relatively novel invasive sensors capable of measuring intracardiac filling pressures, because it is believed that hemodynamic congestion precedes clinical congestion. Monitoring intracardiac pressures may therefore enable clinicians to intervene and avert hospitalizations in a pre-symptomatic phase. Several techniques have been discussed in this review, and thus far, remote monitoring of pulmonary artery pressures (PAP) by the CardioMEMS (CardioMicroelectromechanical system) HF System is the only technique with proven safety as well as efficacy with regard to the prevention of HF-related hospital admissions. Efforts are currently aimed to further develop existing techniques and new sensors capable of measuring left atrial pressures (LAP). With the growing body of evidence and need for remote care, it is expected that remote monitoring by invasive sensors will play a larger role in HF care in the near future.

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