A Single Center Analysis Of Correlation Of Heartmate 3 Lvad Flows To Indirect Fick Method Derived By Swan-ganz Catheter
HFSA ePoster Library. Riesbeck M. 09/10/21; 343458; 225
Matthew Riesbeck
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Abstract
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Background Cardiogenic shock (CS) continues to have high mortality despite advancements in care, including the development of shock teams and standardized protocols. Body mass index (BMI) may be associated with CS mortality, though the exact relationship remains unknown.
Methods A retrospective observational study was performed that included all patients cared for by a single-center shock team from 2014 to 2019. Patients were divided into cohorts based on their weight category: underweight, normal weight, overweight, obese, and extremely obese. Hemodynamics, demographics, and co-morbidities were compared between groups. Survival to 30 days of activation of the shock team was analyzed between groups. Descriptive statistics are included as mean (SD), and categorical variables are presented as number of patients (%). T-tests, ANOVA, and Mann Whitney U tests were used to compare means, and Fisher exact tests and odds ratios were used for categorical data. Survival analyses were performed with Mantel Cox method.
Results Eighty patients were cared for by the shock team during the study period; the mean age was 62.0 years (SD 12.3 years), and 35 patients (43%) were female. The mean BMI for the total population was 31.1 kg/m2 (SD 8 kg/m2). The mean BMI for survivors was 29.7 kg/m2 (SD 8.0 kg/m2) and 33.7 kg/m2 ( SD 7.6 kg/m2) for non-survivors (p = 0.04). One hundred percent (n = 5) of underweight patients survived, compared to 78% of normal weight patients ( n = 21), 48% of overweight patients (n = 21), 39% of obese patients (n = 28), and 22% of extremely obese patients (n = 9) (p = 0.02). This trend represents is a linear relationship between weight category and survival (r2 = 0.97). Survival analysis demonstrates a significant difference between each group (p = 0.03). There were no differences in age, cardiac power output, pulmonary artery pulsatility index, or prevalence of comorbid diseases between each group.
Conclusions There is a linear inverse association between BMI and survival in CS. This correlation is not explained by co-morbidities or other factors that are known to have high risk for CS mortality, suggesting that BMI itself is a risk factor. BMI should weigh into clinicians’ future risk assessments for CS.
Methods A retrospective observational study was performed that included all patients cared for by a single-center shock team from 2014 to 2019. Patients were divided into cohorts based on their weight category: underweight, normal weight, overweight, obese, and extremely obese. Hemodynamics, demographics, and co-morbidities were compared between groups. Survival to 30 days of activation of the shock team was analyzed between groups. Descriptive statistics are included as mean (SD), and categorical variables are presented as number of patients (%). T-tests, ANOVA, and Mann Whitney U tests were used to compare means, and Fisher exact tests and odds ratios were used for categorical data. Survival analyses were performed with Mantel Cox method.
Results Eighty patients were cared for by the shock team during the study period; the mean age was 62.0 years (SD 12.3 years), and 35 patients (43%) were female. The mean BMI for the total population was 31.1 kg/m2 (SD 8 kg/m2). The mean BMI for survivors was 29.7 kg/m2 (SD 8.0 kg/m2) and 33.7 kg/m2 ( SD 7.6 kg/m2) for non-survivors (p = 0.04). One hundred percent (n = 5) of underweight patients survived, compared to 78% of normal weight patients ( n = 21), 48% of overweight patients (n = 21), 39% of obese patients (n = 28), and 22% of extremely obese patients (n = 9) (p = 0.02). This trend represents is a linear relationship between weight category and survival (r2 = 0.97). Survival analysis demonstrates a significant difference between each group (p = 0.03). There were no differences in age, cardiac power output, pulmonary artery pulsatility index, or prevalence of comorbid diseases between each group.
Conclusions There is a linear inverse association between BMI and survival in CS. This correlation is not explained by co-morbidities or other factors that are known to have high risk for CS mortality, suggesting that BMI itself is a risk factor. BMI should weigh into clinicians’ future risk assessments for CS.
Background Cardiogenic shock (CS) continues to have high mortality despite advancements in care, including the development of shock teams and standardized protocols. Body mass index (BMI) may be associated with CS mortality, though the exact relationship remains unknown.
Methods A retrospective observational study was performed that included all patients cared for by a single-center shock team from 2014 to 2019. Patients were divided into cohorts based on their weight category: underweight, normal weight, overweight, obese, and extremely obese. Hemodynamics, demographics, and co-morbidities were compared between groups. Survival to 30 days of activation of the shock team was analyzed between groups. Descriptive statistics are included as mean (SD), and categorical variables are presented as number of patients (%). T-tests, ANOVA, and Mann Whitney U tests were used to compare means, and Fisher exact tests and odds ratios were used for categorical data. Survival analyses were performed with Mantel Cox method.
Results Eighty patients were cared for by the shock team during the study period; the mean age was 62.0 years (SD 12.3 years), and 35 patients (43%) were female. The mean BMI for the total population was 31.1 kg/m2 (SD 8 kg/m2). The mean BMI for survivors was 29.7 kg/m2 (SD 8.0 kg/m2) and 33.7 kg/m2 ( SD 7.6 kg/m2) for non-survivors (p = 0.04). One hundred percent (n = 5) of underweight patients survived, compared to 78% of normal weight patients ( n = 21), 48% of overweight patients (n = 21), 39% of obese patients (n = 28), and 22% of extremely obese patients (n = 9) (p = 0.02). This trend represents is a linear relationship between weight category and survival (r2 = 0.97). Survival analysis demonstrates a significant difference between each group (p = 0.03). There were no differences in age, cardiac power output, pulmonary artery pulsatility index, or prevalence of comorbid diseases between each group.
Conclusions There is a linear inverse association between BMI and survival in CS. This correlation is not explained by co-morbidities or other factors that are known to have high risk for CS mortality, suggesting that BMI itself is a risk factor. BMI should weigh into clinicians’ future risk assessments for CS.
Methods A retrospective observational study was performed that included all patients cared for by a single-center shock team from 2014 to 2019. Patients were divided into cohorts based on their weight category: underweight, normal weight, overweight, obese, and extremely obese. Hemodynamics, demographics, and co-morbidities were compared between groups. Survival to 30 days of activation of the shock team was analyzed between groups. Descriptive statistics are included as mean (SD), and categorical variables are presented as number of patients (%). T-tests, ANOVA, and Mann Whitney U tests were used to compare means, and Fisher exact tests and odds ratios were used for categorical data. Survival analyses were performed with Mantel Cox method.
Results Eighty patients were cared for by the shock team during the study period; the mean age was 62.0 years (SD 12.3 years), and 35 patients (43%) were female. The mean BMI for the total population was 31.1 kg/m2 (SD 8 kg/m2). The mean BMI for survivors was 29.7 kg/m2 (SD 8.0 kg/m2) and 33.7 kg/m2 ( SD 7.6 kg/m2) for non-survivors (p = 0.04). One hundred percent (n = 5) of underweight patients survived, compared to 78% of normal weight patients ( n = 21), 48% of overweight patients (n = 21), 39% of obese patients (n = 28), and 22% of extremely obese patients (n = 9) (p = 0.02). This trend represents is a linear relationship between weight category and survival (r2 = 0.97). Survival analysis demonstrates a significant difference between each group (p = 0.03). There were no differences in age, cardiac power output, pulmonary artery pulsatility index, or prevalence of comorbid diseases between each group.
Conclusions There is a linear inverse association between BMI and survival in CS. This correlation is not explained by co-morbidities or other factors that are known to have high risk for CS mortality, suggesting that BMI itself is a risk factor. BMI should weigh into clinicians’ future risk assessments for CS.
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