Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Zhongping Jian"'
Autor:
Manuel Ignacio Monge García, Zhongping Jian, Feras Hatib, Jos J. Settles, Maurizio Cecconi, Michael R. Pinsky
Publikováno v:
Physiological Reports, Vol 11, Iss 4, Pp n/a-n/a (2023)
Abstract Left ventricular mechanical dyssynchrony (LVMD) refers to the nonuniformity in mechanical contraction and relaxation timing in different ventricular segments. We aimed to determine the relationship between LVMD and LV performance, as assesse
Externí odkaz:
https://doaj.org/article/5a553ec4356046d9815b18c95644a89c
Autor:
Manuel Ignacio Monge García, Zhongping Jian, Jos J. Settels, Charles Hunley, Maurizio Cecconi, Feras Hatib, Michael R. Pinsky
Publikováno v:
Annals of Intensive Care, Vol 9, Iss 1, Pp 1-10 (2019)
Abstract Background The aim of this study was to quantify the impact of different cardiovascular factors on left ventricular ejection fraction (LVEF) and test a novel LVEF calculation considering these factors. Results 10 pigs were studied. The exper
Externí odkaz:
https://doaj.org/article/88a41c5decef4bd898de67ddd09c61cb
Autor:
Manuel Ignacio Monge Garcia, Zhongping Jian, Jos J. Settels, Charles Hunley, Maurizio Cecconi, Feras Hatib, Michael R. Pinsky
Publikováno v:
Critical Care, Vol 22, Iss 1, Pp 1-12 (2018)
Abstract Background Maximal left ventricular (LV) pressure rise (LV dP/dtmax), a classical marker of LV systolic function, requires LV catheterization, thus surrogate arterial pressure waveform measures have been proposed. We compared LV and arterial
Externí odkaz:
https://doaj.org/article/36edb8ac7ba642ea9545f834401cca06
Autor:
Manuel Ignacio Monge García, Zhongping Jian, Feras Hatib, Jos J. Settels, Maurizio Cecconi, Michael R. Pinsky
Publikováno v:
Frontiers in Physiology, Vol 11 (2020)
Dynamic arterial elastance (Eadyn), the ratio between arterial pulse pressure and stroke volume changes during respiration, has been postulated as an index of the coupling between the left ventricle (LV) and the arterial system. We aimed to confirm t
Externí odkaz:
https://doaj.org/article/9cc0b95c4f0344bb814e843dcac39d3d
Autor:
Davies, Simon J., Sessler, Daniel I., Zhongping Jian, Fleming, Neal W., Mythen, Monty, Maheshwari, Kamal, Veelo, Denise P., Vlaar, Alexander P. J., Settels, Jos, Scheeren, Thomas, van der Ster, B. J. P., Sander, Michael, Cannesson, Maxime, Hatib, Feras
Publikováno v:
Anesthesiology; Sep2024, Vol. 141 Issue 3, p443-452, 10p
Publikováno v:
Journal of Clinical Monitoring and Computing. 37:651-659
To investigate if the Hypotension Prediction Index was an early indicator of haemodynamic instability in a negative inotropy porcine model, and to assess the correlation of commonly measured indicators of left ventricular systolic function. Eight ana
Autor:
Barak Cohen, Jos J. Settels, Sai Buddi, Zhongping Jian, Daniel I. Sessler, Tetsuya Shimada, Feras Hatib, Kamal Maheshwari
Publikováno v:
Journal of Clinical Monitoring and Computing
An algorithm derived from machine learning uses the arterial waveform to predict intraoperative hypotension some minutes before episodes, possibly giving clinician’s time to intervene and prevent hypotension. Whether the Hypotension Prediction Inde
Publikováno v:
Cureus
Cureus, vol 13, iss 8
Cureus, vol 13, iss 8
Invasive intraarterial blood pressure measurement is currently the gold standard for intraoperative hemodynamic monitoring but accurate systolic blood pressure (SBP) measurement is difficult in everyday clinical practice, mostly because of problems w
Autor:
Maurizio Cecconi, Feras Hatib, Manuel Ignacio Monge García, Michael R. Pinsky, Zhongping Jian, Charles Hunley, Jos J. Settels
Publikováno v:
Annals of Intensive Care, Vol 9, Iss 1, Pp 1-10 (2019)
The aim of this study was to quantify the impact of different cardiovascular factors on left ventricular ejection fraction (LVEF) and test a novel LVEF calculation considering these factors. 10 pigs were studied. The experimental protocol consisted o
Autor:
Feras Hatib, Michael R. Pinsky, Jos J. Settels, Manuel Ignacio Monge García, Zhongping Jian, Maurizio Cecconi
Publikováno v:
Journal of Clinical Monitoring and Computing. 33:937-940