13 research outputs found

    The five-point Likert scale for dyspnea can properly assess the degree of pulmonary congestion and predict adverse events in heart failure outpatients

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    OBJECTIVES: Proper assessment of dyspnea is important in patients with heart failure. Our aim was to evaluate the use of the 5-point Likert scale for dyspnea to assess the degree of pulmonary congestion and to determine the prognostic value of this scale for predicting adverse events in heart failure outpatients. METHODS: We undertook a prospective study of outpatients with moderate to severe heart failure. The 5-point Likert scale was applied during regular outpatient visits, along with clinical assessments. Lung ultrasound with ≄15 B-lines and an amino-terminal portion of pro-B-type natriuretic peptide (NT-proBNP) level >;1000 pg/mL were used as a reference for pulmonary congestion. The patients were then assessed every 30 days during follow-up to identify adverse clinical outcomes. RESULTS: We included 58 patients (65.5% male, age 43.5±11 years) with a mean left ventricular ejection fraction of 27±6%. In total, 29.3% of these patients had heart failure with ischemic etiology. Additionally, pulmonary congestion, as diagnosed by lung ultrasound, was present in 58% of patients. A higher degree of dyspnea (3 or 4 points on the 5-point Likert scale) was significantly correlated with a higher number of B-lines (p = 0.016). Patients stratified into Likert = 3-4 were at increased risk of admission compared with those in class 1-2 after adjusting for age, left ventricular ejection fraction, New York Heart Association functional class and levels of NT-proBNP >;1000 pg/mL (HR = 4.9, 95% CI 1.33-18.64, p = 0.017). CONCLUSION: In our series, higher baseline scores on the 5-point Likert scale were related to pulmonary congestion and were independently associated with adverse events during follow-up. This simple clinical tool can help to identify patients who are more likely to decompensate and whose treatment should be intensified

    Association between serum lactate levels and mortality in patients with cardiogenic shock receiving mechanical circulatory support : a multicenter retrospective cohort study

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    Background: To evaluate the prognostic value of peak serum lactate and lactate clearance at several time points in cardiogenic shock treated with temporary mechanical circulatory support (MCS) using veno-arterial extracorporeal membrane oxygenation (VA-ECMO) or Impella CP¼. Methods: Serum lactate and clearance were measured before MCS and at 1 h, 6 h, 12 h, and 24 h post-MCS in 43 patients at four tertiary-care centers in Southern Brazil. Prognostic value was assessed by univariable and multivariable analysis and receiver operating characteristic (ROC) curves for 30-day mortality. Results: VA-ECMO was the most common MCS modality (58%). Serum lactate levels at all time points and lactate clearance after 6 h were associated with mortality on unadjusted and adjusted analyses. Lactate levels were higher in non-survivors at 6 h, 12 h, and 24 h after MCS. Serum lactate >1.55 mmol/L at 24 h was the best single prognostic marker of 30-day mortality [area under the ROC curve=0.81 (0.67–0.94); positive predictive value=86%). Failure to improve serum lactate after 24 h was associated with 100% mortality. Conclusions: Serum lactate was an important prognostic biomarker in cardiogenic shock treated with temporary MCS. Serum lactate and lactate clearance at 24 h were the strongest independent predictors of short-term survival

    Reply to the letter “Understanding lactate and its clearance during extracorporeal membrane oxygenation for supporting refractory cardiogenic shock patients”

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    Abstract This is a reply to the letter titled “Understanding lactate and its clearance during extracorporeal membrane oxygenation for supporting refractory cardiogenic shock patients” by Eva Rully Kurniawati et al. In response to the concerns raised about our paper published in BMC Cardiovascular Disorders, titled “Association between serum lactate levels and mortality in patients with cardiogenic shock receiving mechanical circulatory support: a multicenter retrospective cohort study,“ we have addressed the confounding bias on the population included and the use of VA-ECMO and Impella CP. Furthermore, we have provided new data on the correlation of oxygen supply and lactate levels at admission of cardiogenic shock

    Cardiogenic shock treated with temporary mechanical circulatory support in Brazil : the effect of learning curve

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    Aims: Treatment with mechanical circulatory support (MCS) has been proposed to mitigate mortality in cardiogenic shock (CS). However, there is a lack of data on MCS programs implementation and the effect of the learning curve on its outcomes in limited resources countries such as Brazil. Methods: Prospective cohort of patients with CS admitted in four tertiary-care centers treated with Impella CP or venoarterial extracorporeal membrane oxygenation (VA-ECMO). Clinical outcomes were peri-procedural complications, short-term mortality rate, and the centers’ learning curve. The cohort was divided into two periods: from April 2017 to July 2018 (n=24), and from August 2018 to December 2020 (n=25). Results: The study enrolled 49 patients [age 59 (43–63) years; 34 (70%) males]. The most common causes for CS were acute myocardial infarction in 22 (45%) and acute decompensation of chronic heart failure in 10 (20%). VA-ECMO was employed in 35 (71%) and Impella CP in 14 (29%) of patients. Overall complications occurred in 37 (76%) of patients, where major bleeding in 19 (38%) was the most common. The overall mortality rate was 61%, but it was lower in the second period (40%) in comparison to the first period (83%), p=0.002. The learning curve analysis showed a decrease in the mortality rate after 40 consecutive cases. Conclusions: Implementation of a temporary MCS program for refractory CS in a limited resource country is feasible. The learning curve effect might have played a role on survival rate since high morbimortality has decreased within time reaching optimal results by the end of the study
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