Publications by authors named "Volny L"
Purpose: The echocardiography parameters may predict the maintenance of sinus rhythm after cardioversion of a supraventricular arrhythmia (SVA).
Materials And Methods: Patients in septic shock with onset of an SVA, normal to moderately reduced LV systolic function (EF_LV˃̳35%) and on a continuous noradrenaline of <1.0 μg/kg.
Article Synopsis
- Acute supraventricular arrhythmias can worsen hemodynamic stability in patients with septic shock, and a study compared the effects of intravenous propafenone and amiodarone on arrhythmias in this population.
- In a trial with 209 patients, those receiving propafenone had a quicker return to sinus rhythm (3.7 hours) compared to those on amiodarone (7.3 hours), although the overall 24-hour sinus rhythm rates were similar.
- Propafenone led to fewer cases of arrhythmia recurrence than amiodarone, especially in patients without a dilated left atrium, indicating it may be a more effective option for short-term management.
Purpose: The aim was to verify the impact of obesity on the long-term outcome of patients with severe SARS-CoV-2 ARDS.
Materials And Methods: The retrospective study included patients admitted to the high-volume ECMO centre between March 2020 and March 2022. The impact of body mass index (BMI), co-morbidities and therapeutic measures on the short and 90-day outcomes was analysed.
Immature granulocytes as a sepsis predictor in patients undergoing cardiac surgery.
Interact Cardiovasc Thorac Surg
June 2019
Objectives: Usefulness of immature granulocyte percentage (IG%) to discriminate between postoperative non-infective systemic inflammatory response syndrome (SIRS) and sepsis was tested in cardiac surgical patients.
Methods: A retrospective analysis of 124 patients who developed non-infective SIRS and sepsis after elective cardiac surgery was performed. Predictive ability of IG% to predict sepsis was compared to procalcitonin (PCT), white blood cell count, temperature and different biomarker combinations using receiver operating characteristic and logistic regression analysis.