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1.
Expert Rev Med Devices ; 18(2): 179-188, 2021 Feb.
Article in English | MEDLINE | ID: mdl-33538204

ABSTRACT

INTRODUCTION: Over the last decade, eCPR programs have become more and more popular, at least amongst high-volume centers. Despite its rise in popularity and promising outcome, strategies concerning pre- and post-implantation of VA-ECMO remain at least debatable. Besides, integrating the appropriate set-up, managing anticoagulation, implementing LV-venting, and predicting neurological outcome play important roles in caring for thise highly selective patient-collective. We sought to present our institutional´s techniques for establishing an eCPR program and managing patients peri- and post implantation in eCPR-runs. AREAS COVERED: This manuscript covers the majority of clinical concerns and parameters for establishing an eCPR program and its recent advantages. We will describe a safe way of cannulation, setting anticoagulation goals, strategies for LV-venting and ICU-treatment. Also included, an elaboration on neurological and cardiac prognostication. EXPERT OPINION: We advocate ultrasound-guided cannula placement in eCPR patients. Also, we emphasize the importance of using stiffer wires and smaller arterial cannula sizes due to the different physiological parameters of OHCA patients. After cannulation, we aim for lower flow goals, the concept of 'partial VA-ECMO,' and lower anticoagulatory targets. LV-venting with Impella should remain an individual case to case decision.


Subject(s)
Cardiopulmonary Resuscitation , Out-of-Hospital Cardiac Arrest/therapy , Anticoagulants/therapeutic use , Catheters , Humans , Monitoring, Physiologic , Out-of-Hospital Cardiac Arrest/diagnosis , Out-of-Hospital Cardiac Arrest/drug therapy , Treatment Outcome , Ultrasonography
2.
J Heart Valve Dis ; 26(3): 262-267, 2017 05.
Article in English | MEDLINE | ID: mdl-29092109

ABSTRACT

BACKGROUND AND AIM OF THE STUDY: Epicardial fat tissue (EAT) is associated with coronary as well as aortic valve calcification. The study aim was to determine whether EAT thickness is different in patients with and without aortic valve stenosis (AVS). METHODS: A cohort of 200 consecutive patients with severe AVS and 200 matched patients without AVS were included retrospectively in the study. EAT thickness was quantified, using transthoracic echocardiography, as the space between the epicardial wall of the myocardium and the visceral layer of the pericardium. Unadjusted and risk factor-adjusted logistic regression analysis was used to determine the association of EAT thickness with the presence of AVS. RESULTS: Overall, 400 patients (182 males, 218 females; mean age 79.6 ± 6.5 years) were included in the study. EAT thickness was significantly higher in patients with severe AVS (7.4 ± 0.3 mm versus 5.8 ± 0.2 mm; p <0.0001 for patients with and without AVS, respectively). In logistic regression analysis, an increase in EAT by one standard deviation was associated with a two-fold increased occurrence of AVS (OR [95%CI]: 2.10 [1.65-2.68]; p <0.0001). Associations remained stable upon adjustment for age, gender and traditional cardiovascular risk factors (2.08 [1.59-2.72]; p <0.0001). Body mass index (BMI) -specific subgroup analysis showed that the link between EAT and AVS was independent of BMI (1.78 [1.15-2.75], 2.62 [1.71- 4.02], and 2.22 [1.36- 3.62], for BMI <25 kg/m2, 25-30 kg/m2, and >30kg/ m2, respectively). EAT, in addition to traditional cardiovascular risk factors, significantly improved the area under the receiver operating characteristic curve (from 0.70 to 0.76; p = 0.003). CONCLUSIONS: EAT thickness is significantly associated with severe AVS, independent of traditional risk factors. While further studies are needed to confirm these results, the present findings support the hypothesis that EAT may influence sclerosis of the aortic valve.


Subject(s)
Adipose Tissue/diagnostic imaging , Aortic Valve Stenosis/diagnostic imaging , Echocardiography , Pericardium/diagnostic imaging , Adipose Tissue/physiopathology , Adiposity , Aged , Aged, 80 and over , Aortic Valve Stenosis/physiopathology , Area Under Curve , Female , Humans , Linear Models , Logistic Models , Male , Pericardium/physiopathology , Predictive Value of Tests , ROC Curve , Retrospective Studies , Risk Factors , Severity of Illness Index
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