[Predictors of in-hospital mortality in adult postcardiotomy cardiacgenic shock patients successfully weaned from venoarterial extracorporeal membrane oxygenation].

Objective: To assess the factors associated with outcome of patients undergoing extracorporeal membrane oxygenation (ECMO) in a large ECMO center. Methods: Patients aged >18 years who received ECMO support for postcardiotomy cardiogenic shock were identified between January 2011 and December 2015. One hundred and seventy-seven patients (64.8%) successfully weaned from ECMO. These patients were divided into two groups depending on whether they could survive to hospital discharge: the survival group (group S, n=119) and death group (group D, n=58). Multivariate logistic regression was performed to identify risk factors independently associated with in-hospital mortality. Results: Compared to those from group D, patients in group S exhibited a younger age[(53.4±11.7) vs (58.9±11.5) years], a lower inotrope score at the beginning of ECMO [25(15, 60) vs 35.0(23, 60)], a lower average platelets transfusion [4.0(2.0, 5.2) vs 5.0(3.0, 7.2)U] (all P<0.05). There were shorter duration of ECMO support [95.0(73.0, 131.0) vs 120.0(95.8, 160.2) h], shorter ventilation time [137.0(70.0, 236.8) vs 215.0(164.0, 305.0) h], shorter stay in ICU [182.0(140.0, 236.0) vs 259.0(207.0, 382.0) h] and longer hospital stay after weaned from ECMO [14(11, 24) vs 8(4, 16) d] in group S patients compared to those in group D (all P<0.05). Age>65 years (P=0.046), neurologic complications (P<0.001) and lower extremity ischemia (P<0.001) during ECMO support, left ventricular ejection fraction<35% (P=0.011) and central venous pressure (CVP)>12 cmH(2)O(P=0.018) when weaned from ECMO, and the multi-organ function failure (P<0.001) after weaned from ECMO were independently associated with in-hospital mortality. Conclusions: Neurologic complications and lower extremity ischemia that occurred during ECMO, multi-organ function failure after weaned from ECMO had a significant impact on in-hospital mortality. Further studies are needed to prevent neurologic complications and lower extremity ischemia in these patients. Interventions that could reduce these complications may improve outcome.

Component spectra extraction from terahertz measurements of unknown mixtures.

The aim of this work is to extract component spectra from unknown mixtures in the terahertz region. To that end, a method, hard modeling factor analysis (HMFA), was applied to resolve terahertz spectral matrices collected from the unknown mixtures. This method does not require any expertise of the user and allows the consideration of nonlinear effects such as peak variations or peak shifts. It describes the spectra using a peak-based nonlinear mathematic model and builds the component spectra automatically by recombination of the resolved peaks through correlation analysis. Meanwhile, modifications on the method were made to take the features of terahertz spectra into account and to deal with the artificial baseline problem that troubles the extraction process of some terahertz spectra. In order to validate the proposed method, simulated wideband terahertz spectra of binary and ternary systems and experimental terahertz absorption spectra of amino acids mixtures were tested. In each test, not only the number of pure components could be correctly predicted but also the identified pure spectra had a good similarity with the true spectra. Moreover, the proposed method associated the molecular motions with the component extraction, making the identification process more physically meaningful and interpretable compared to other methods. The results indicate that the HMFA method with the modifications can be a practical tool for identifying component terahertz spectra in completely unknown mixtures. This work reports the solution to this kind of problem in the terahertz region for the first time, to the best of the authors' knowledge, and represents a significant advance toward exploring physical or chemical mechanisms of unknown complex systems by terahertz spectroscopy.