Corynebacterium striatum Cardiac Device-Related Infective Endocarditis: The First Case Report in a Patient With a Cardiac Resynchronization Therapy Defibrillator Device and Review of the Literature

Corynebacterium striatum (C. striatum) is a skin commensal agent, rarely described as a cause of infective endocarditis. We describe a case of a 48-year-old man, with multiple comorbidities with cardiac resynchronization therapy defibrillator (CRT-D) device implanted 1 year before. A cardiac device-related infective endocarditis (CDRIE) due to C. striatum, with vegetations in the tricuspid valve adjacent to the electrode lead and concomitant lumbar spondylodiscitis were diagnosed. The patient was treated initially with a 6-week course of vancomycin with sterile blood cultures and reduction of inflammatory parameters. Surgery was refused at this stage. Six weeks later, he was readmitted due to C. striatum bacteriemia recurrence, with vegetations adhering to the electrode wire, being treated with daptomycin 10mg/kg body weight, after presenting renal toxicity to vancomycin. CRT-D device was removed with implantation of epicardial cardiac resynchronization therapy pacemaker (CRT-P). To our knowledge, this might be the first description of C. striatum CDRIE in a patient with a CRT-D. In the five cases described in the literature of CDRIE by this agent, early removal of the pacemaker was performed with good results. In this case, the device was removed only after failure of medical treatment alone.info:eu-repo/semantics/publishedVersio

Pulmonary artery elastance as a predictor of hospital mortality in heart failure cardiogenic shock

Aims The initial bundle of cares strongly affects haemodynamics and outcomes in acute decompensated heart failure cardiogenic shock (ADHF-CS). We sought to characterize whether 24 h haemodynamic profiling provides superior prognostic information as compared with admission assessment and which haemodynamic parameters best predict in-hospital death. Methods and results All patients with ADHF-CS and with available admission and 24 h invasive haemodynamic assessment from two academic institutions were considered for this study. The primary endpoint was in-hospital death. Regression analyses were run to identify relevant predictors of study outcome. We included 127 ADHF-CS patients [65 (inter-quartile range 52-72) years, 25.2% female]. Overall, in-hospital mortality occurred in 26.8%. Non-survivors were older, with greater CS severity. Among admission variables, age [odds ratio (OR) = 1.06; 95% confidence interval (CI): 1.02-1.11; P-adj = 0.005] and CPIRAP (OR = 0.62 for 0.1 increment; 95% CI: 0.39-0.95; P-adj = 0.034) were found significantly associated with in-hospital death. Among 24 h haemodynamic univariate predictors of in-hospital death, pulmonary elastance (PaE) was the strongest (area under the curve of 0.77; 95% CI: 0.68-0.86). PaE (OR = 5.98; 95% CI: 2.29-17.48; P-adj < 0.001), pulmonary artery pulsatility index (PAPi, OR = 0.77; 95% CI: 0.62-0.92; P-adj = 0.013) and age (OR = 1.06; 95% CI: 1.02-1.11; P-adj = 0.010) were independently associated with in-hospital death. Best cut-off for PaE was 0.85 mmHg/mL and for PAPi was 2.95; cohort phenotyping based on these PaE and PAPi thresholds further increased in-hospital death risk stratification; patients with 24 h high PaE and low PAPi exhibited the highest in-hospital mortality (56.2%). Conclusions Pulmonary artery elastance has been found to be the most powerful 24 h haemodynamic predictor of in-hospital death in patients with ADHF-CS. Age, 24 h PaE, and PAPi are independently associated with hospital mortality. PaE captures right ventriclar (RV) afterload mismatch and PAPi provides a metric of RV adaptation, thus their combination generates four distinct haemodynamic phenotypes, enhancing in-hospital death risk stratification

Pulmonary artery elastance as a predictor of hospital mortality in heart failure cardiogenic shock

Aims The initial bundle of cares strongly affects haemodynamics and outcomes in acute decompensated heart failure cardiogenic shock (ADHF-CS). We sought to characterize whether 24 h haemodynamic profiling provides superior prognostic information as compared with admission assessment and which haemodynamic parameters best predict in-hospital death. Methods and results All patients with ADHF-CS and with available admission and 24 h invasive haemodynamic assessment from two academic institutions were considered for this study. The primary endpoint was in-hospital death. Regression analyses were run to identify relevant predictors of study outcome. We included 127 ADHF-CS patients [65 (inter-quartile range 52-72) years, 25.2% female]. Overall, in-hospital mortality occurred in 26.8%. Non-survivors were older, with greater CS severity. Among admission variables, age [odds ratio (OR) = 1.06; 95% confidence interval (CI): 1.02-1.11; P-adj = 0.005] and CPIRAP (OR = 0.62 for 0.1 increment; 95% CI: 0.39-0.95; P-adj = 0.034) were found significantly associated with in-hospital death. Among 24 h haemodynamic univariate predictors of in-hospital death, pulmonary elastance (PaE) was the strongest (area under the curve of 0.77; 95% CI: 0.68-0.86). PaE (OR = 5.98; 95% CI: 2.29-17.48; P-adj < 0.001), pulmonary artery pulsatility index (PAPi, OR = 0.77; 95% CI: 0.62-0.92; P-adj = 0.013) and age (OR = 1.06; 95% CI: 1.02-1.11; P-adj = 0.010) were independently associated with in-hospital death. Best cut-off for PaE was 0.85 mmHg/mL and for PAPi was 2.95; cohort phenotyping based on these PaE and PAPi thresholds further increased in-hospital death risk stratification; patients with 24 h high PaE and low PAPi exhibited the highest in-hospital mortality (56.2%). Conclusions Pulmonary artery elastance has been found to be the most powerful 24 h haemodynamic predictor of in-hospital death in patients with ADHF-CS. Age, 24 h PaE, and PAPi are independently associated with hospital mortality. PaE captures right ventriclar (RV) afterload mismatch and PAPi provides a metric of RV adaptation, thus their combination generates four distinct haemodynamic phenotypes, enhancing in-hospital death risk stratification