The Experts below are selected from a list of 84 Experts worldwide ranked by ideXlab platform

Daniel I Sessler - One of the best experts on this subject based on the ideXlab platform.

  • a model to predict Patient Temperature during cardiac surgery
    Physics in Medicine and Biology, 2007
    Co-Authors: Nmw Natascha Severens, Van Wd Wouter Marken Lichtenbelt, Ajh Arjan Frijns, Van Aa Anton Steenhoven, De Bajm Bas Mol, Daniel I Sessler
    Abstract:

    A core Temperature drop after cardiac surgery slows down the Patient's recuperation process. In order to minimize the amount of the so-called afterdrop, more knowledge is needed about the impaired thermoregulatory system during anesthesia and the effect of different protocols on Temperature distribution. Therefore, a computer model has been developed that describes heat transfer during cardiac surgery. The model consists of three parts: (1) a passive part, which gives a simplified description of the human geometry and the passive heat transfer processes, (2) an active part that takes into account the thermoregulatory system as a function of the amount of anesthesia and (3) submodels, through which it is possible to adjust the boundary conditions. The validity of the new model was tested by comparing the model results to the measurement results of three surgical procedures. A good resemblance was found between simulation results and the experiments. Next, a model application was shown. A parameter study was performed to study the effect of different Temperature protocols on afterdrop. It was shown that the effectiveness of forced-air heating is larger than the benefits resulting from increased environmental Temperature or usage of a circulating water mattress. Ultimately, the model could be used to develop a monitoring decision system that advises clinicians what Temperature protocol will be best for the Patient.

Denise H Rhoney - One of the best experts on this subject based on the ideXlab platform.

Brian Burns - One of the best experts on this subject based on the ideXlab platform.

  • a prospective observational study of the association between cabin and outside air Temperature and Patient Temperature gradient during helicopter transport in new south wales
    Anaesthesia and Intensive Care, 2016
    Co-Authors: Matthew Miller, C Richmond, Sandra Ware, Karel Habig, Brian Burns
    Abstract:

    The prevalence of hypothermia in Patients following helicopter transport varies widely. Low outside air Temperature has been identified as a risk factor. Modern helicopters are insulated and have heating; therefore outside Temperature may be unimportant if cabin heat is maintained. We sought to describe the association between outside air, cabin and Patient Temperature, and having the cabin Temperature in the thermoneutral zone (18-36°C) in our helicopter-transported Patients. We conducted a prospective observational study over one year. Patient Temperature was measured on loading and engines off. Cabin and outside air Temperature were recorded for the same time periods for each Patient, as well as in-flight. Previously identified risk factors were recorded. Complete data was obtained for 133 Patients. Patients' Temperature increased by a median of 0.15°C (P=0.013). There was no association between outside air Temperature or cabin Temperature and Patient Temperature gradient. The best predictor of Patient Temperature on landing was Patient Temperature on loading (R2=0.86) and was not improved significantly when other risk factors were added (P=0.63). Thirty-five percent of Patients were hypothermic on loading, including those transferred from district hospitals. No Patient loaded normothermic became hypothermic when the cabin Temperature was in the thermoneutral zone (P=0.04). A large proportion of Patients in our sample were hypothermic at the referring hospital. The best predictor of Patient Temperature on landing is Patient Temperature on loading. This has implications for studies that fail to account for pre-flight Temperature.

  • a prospective observational study of the association between cabin and outside air Temperature and Patient Temperature gradient during helicopter transport in new south wales
    Anaesthesia and Intensive Care, 2016
    Co-Authors: Matthew Miller, C Richmond, Sandra Ware, Karel Habig, Brian Burns
    Abstract:

    The prevalence of hypothermia in Patients following helicopter transport varies widely. Low outside air Temperature has been identified as a risk factor. Modern helicopters are insulated and have h...

Nmw Natascha Severens - One of the best experts on this subject based on the ideXlab platform.

  • a model to predict Patient Temperature during cardiac surgery
    Physics in Medicine and Biology, 2007
    Co-Authors: Nmw Natascha Severens, Van Wd Wouter Marken Lichtenbelt, Ajh Arjan Frijns, Van Aa Anton Steenhoven, De Bajm Bas Mol, Daniel I Sessler
    Abstract:

    A core Temperature drop after cardiac surgery slows down the Patient's recuperation process. In order to minimize the amount of the so-called afterdrop, more knowledge is needed about the impaired thermoregulatory system during anesthesia and the effect of different protocols on Temperature distribution. Therefore, a computer model has been developed that describes heat transfer during cardiac surgery. The model consists of three parts: (1) a passive part, which gives a simplified description of the human geometry and the passive heat transfer processes, (2) an active part that takes into account the thermoregulatory system as a function of the amount of anesthesia and (3) submodels, through which it is possible to adjust the boundary conditions. The validity of the new model was tested by comparing the model results to the measurement results of three surgical procedures. A good resemblance was found between simulation results and the experiments. Next, a model application was shown. A parameter study was performed to study the effect of different Temperature protocols on afterdrop. It was shown that the effectiveness of forced-air heating is larger than the benefits resulting from increased environmental Temperature or usage of a circulating water mattress. Ultimately, the model could be used to develop a monitoring decision system that advises clinicians what Temperature protocol will be best for the Patient.

M S Goepfert - One of the best experts on this subject based on the ideXlab platform.

  • changes in sevoflurane plasma concentration with delivery through the oxygenator during on pump cardiac surgery
    BJA: British Journal of Anaesthesia, 2013
    Co-Authors: Rainer Nitzschke, J Wilgusch, Jan Felix Kersten, Constantin Trepte, Sebastian Haas, Daniel A Reuter, Alwin E Goetz, M S Goepfert
    Abstract:

    Background It is unclear what factors affect the uptake of sevoflurane administered through the membrane oxygenator during cardiopulmonary bypass (CPB) and whether this can be monitored via the oxygenator exhaust gas. Methods Stable delivery of sevoflurane was administered to 30 elective cardiac surgery Patients at 1.8 vol% (inspiratory) via the anaesthetic circuit and ventilator. During CPB, sevoflurane was administered in the oxygenator fresh gas supply (Compactflo Evolution™; Sorin Group, Milano, Italy). Sevoflurane plasma concentration (SPC) was measured using gas chromatography. Changes were correlated with bispectral index (BIS), Patient Temperature, haematocrit, plasma albumin concentration, oxygenator fresh gas flow, and the sevoflurane concentration in the oxygenator exhaust at predefined time points. Results The mean SPC pre-bypass was 54.9 µg ml−1 [95% confidence interval (CI): 50.6–59.1]. SPC decreased to 43.2 µg ml−1 (95% CI: 40.3–46.1; P Conclusions The uptake of sevoflurane delivered via the membrane oxygenator during CPB seems to be affected by hypothermia, haemodilution, and changes in the oxygenator fresh gas supply flow. Measuring the concentration of sevoflurane in the exhaust from the oxygenator is not useful for monitoring sevoflurane administration during bypass.