The Experts below are selected from a list of 51 Experts worldwide ranked by ideXlab platform

Roger W Jelliffe - One of the best experts on this subject based on the ideXlab platform.

  • outcome prediction in chest injury by a mathematical search and Display program
    Chest, 2005
    Co-Authors: William C Shoemaker, David S Bayard, Lichien Chien, Linda S Chan, Roger W Jelliffe
    Abstract:

    Objective This study applies a stochastic or probability search and Display Model to prospectively predict outcome and to evaluate therapeutic effects in a consecutively monitored series of 396 patients with severe thoracic and thoracoabdominal injuries. Study design Prospective observational study of outcome prediction using noninvasive hemodynamic monitoring by previously designed protocols and tested against actual outcome at hospital discharge in a level 1 trauma service of a university-run, inner-city public hospital. Methods Cardiac index (CI), heart rate (HR), mean arterial pressure (MAP), arterial oxygen saturation measured by pulse oximetry (Spo 2 ), transcutaneous oxygen tension (Ptco 2 ), and transcutaneous carbon dioxide tension (Ptcco 2 ) were monitored beginning shortly after admission to the emergency department. The stochastic search and Display Model with a decision support program based on noninvasive hemodynamic monitoring was applied to 396 severely ill patients with major thoracic and thoracoabdominal trauma. The survival probability (SP) was calculated during initial resuscitation continuously until patients were stabilized, and compared with the actual outcome when the patient was discharged from the hospital usually a week or more later. Results The CI, Spo 2 , Ptco 2 , and MAP were appreciably higher in survivors than in nonsurvivors. HR and Ptcco 2 were higher in the nonsurvivors. The calculated SP in the first 24-h observation period of survivors of chest wounds averaged 83 ± 18% (± SD) and 62 ± 19% for nonsurvivors. Misclassifications were 9.6%. The relative effects of alternative therapies were evaluated before and after therapy, using hemodynamic monitoring and SP as criteria. Conclusions Noninvasive hemodynamic monitoring with an information system provided a feasible approach to early outcome predictions and therapeutic decision support.

  • mathematical program for outcome prediction and therapeutic support for trauma beginning within 1 hr of admission a preliminary report
    Critical Care Medicine, 2005
    Co-Authors: William C Shoemaker, Demetrios Demetriades, David S Bayard, Andreas Botnen, Ashutosh Gandhi, Lichien Chien, Matthew J Martin, Linda S Chan, Nasrollah Ahmadpour, Roger W Jelliffe
    Abstract:

    Objectives: The aims were a) to noninvasively monitor acute emergency trauma patients beginning within 1 hr after admission to the emergency department; b) to prospectively predict outcome; and c) to evaluate the relative effectiveness of various modes of therapy. Design: Prospective outcome prediction study using a mathematical search and Display Model based on noninvasive hemodynamic monitoring. Setting: A level I trauma service in a large university-run inner-city public hospital. Patients: We studied 185 consecutively noninvasively monitored emergency patients. Interventions: We noninvasively monitored cardiac index, mean arterial blood pressure, heart rate, pulse oximetry, and transcutaneous oxygen and carbon dioxide tensions beginning within 1-hr after emergency admission. Measurements and Main Results: The cardiac index, pulse oximetry, transcutaneous oxygen tension, transcutaneous carbon dioxide tension, and mean arterial blood pressure were higher in survivors than in nonsurvivors in the initial resuscitation period and at the hemodynamic nadir. Heart rate and transcutaneous carbon dioxide tension were higher in the nonsurvivors. The calculated survival probability in the first hour observation period of survivors averaged 85 ± 14% vs. 69 ± 16% for nonsurvivors (p = .0001). Misclassifications of the series as a whole were 11.3%; after excluding brain death from severe head injury, there were 6.4% misclassifications. A decision support system evaluated the effects of various therapies based on responses of patients with similar clinical-hemodynamic states. Conclusion: Noninvasive hemodynamic monitoring and an information system provided a feasible approach to predict outcome early and to evaluate prospectively the efficacy of various therapies.

William C Shoemaker - One of the best experts on this subject based on the ideXlab platform.

  • outcome prediction in chest injury by a mathematical search and Display program
    Chest, 2005
    Co-Authors: William C Shoemaker, David S Bayard, Lichien Chien, Linda S Chan, Roger W Jelliffe
    Abstract:

    Objective This study applies a stochastic or probability search and Display Model to prospectively predict outcome and to evaluate therapeutic effects in a consecutively monitored series of 396 patients with severe thoracic and thoracoabdominal injuries. Study design Prospective observational study of outcome prediction using noninvasive hemodynamic monitoring by previously designed protocols and tested against actual outcome at hospital discharge in a level 1 trauma service of a university-run, inner-city public hospital. Methods Cardiac index (CI), heart rate (HR), mean arterial pressure (MAP), arterial oxygen saturation measured by pulse oximetry (Spo 2 ), transcutaneous oxygen tension (Ptco 2 ), and transcutaneous carbon dioxide tension (Ptcco 2 ) were monitored beginning shortly after admission to the emergency department. The stochastic search and Display Model with a decision support program based on noninvasive hemodynamic monitoring was applied to 396 severely ill patients with major thoracic and thoracoabdominal trauma. The survival probability (SP) was calculated during initial resuscitation continuously until patients were stabilized, and compared with the actual outcome when the patient was discharged from the hospital usually a week or more later. Results The CI, Spo 2 , Ptco 2 , and MAP were appreciably higher in survivors than in nonsurvivors. HR and Ptcco 2 were higher in the nonsurvivors. The calculated SP in the first 24-h observation period of survivors of chest wounds averaged 83 ± 18% (± SD) and 62 ± 19% for nonsurvivors. Misclassifications were 9.6%. The relative effects of alternative therapies were evaluated before and after therapy, using hemodynamic monitoring and SP as criteria. Conclusions Noninvasive hemodynamic monitoring with an information system provided a feasible approach to early outcome predictions and therapeutic decision support.

  • mathematical program for outcome prediction and therapeutic support for trauma beginning within 1 hr of admission a preliminary report
    Critical Care Medicine, 2005
    Co-Authors: William C Shoemaker, Demetrios Demetriades, David S Bayard, Andreas Botnen, Ashutosh Gandhi, Lichien Chien, Matthew J Martin, Linda S Chan, Nasrollah Ahmadpour, Roger W Jelliffe
    Abstract:

    Objectives: The aims were a) to noninvasively monitor acute emergency trauma patients beginning within 1 hr after admission to the emergency department; b) to prospectively predict outcome; and c) to evaluate the relative effectiveness of various modes of therapy. Design: Prospective outcome prediction study using a mathematical search and Display Model based on noninvasive hemodynamic monitoring. Setting: A level I trauma service in a large university-run inner-city public hospital. Patients: We studied 185 consecutively noninvasively monitored emergency patients. Interventions: We noninvasively monitored cardiac index, mean arterial blood pressure, heart rate, pulse oximetry, and transcutaneous oxygen and carbon dioxide tensions beginning within 1-hr after emergency admission. Measurements and Main Results: The cardiac index, pulse oximetry, transcutaneous oxygen tension, transcutaneous carbon dioxide tension, and mean arterial blood pressure were higher in survivors than in nonsurvivors in the initial resuscitation period and at the hemodynamic nadir. Heart rate and transcutaneous carbon dioxide tension were higher in the nonsurvivors. The calculated survival probability in the first hour observation period of survivors averaged 85 ± 14% vs. 69 ± 16% for nonsurvivors (p = .0001). Misclassifications of the series as a whole were 11.3%; after excluding brain death from severe head injury, there were 6.4% misclassifications. A decision support system evaluated the effects of various therapies based on responses of patients with similar clinical-hemodynamic states. Conclusion: Noninvasive hemodynamic monitoring and an information system provided a feasible approach to predict outcome early and to evaluate prospectively the efficacy of various therapies.

Lichien Chien - One of the best experts on this subject based on the ideXlab platform.

  • outcome prediction in chest injury by a mathematical search and Display program
    Chest, 2005
    Co-Authors: William C Shoemaker, David S Bayard, Lichien Chien, Linda S Chan, Roger W Jelliffe
    Abstract:

    Objective This study applies a stochastic or probability search and Display Model to prospectively predict outcome and to evaluate therapeutic effects in a consecutively monitored series of 396 patients with severe thoracic and thoracoabdominal injuries. Study design Prospective observational study of outcome prediction using noninvasive hemodynamic monitoring by previously designed protocols and tested against actual outcome at hospital discharge in a level 1 trauma service of a university-run, inner-city public hospital. Methods Cardiac index (CI), heart rate (HR), mean arterial pressure (MAP), arterial oxygen saturation measured by pulse oximetry (Spo 2 ), transcutaneous oxygen tension (Ptco 2 ), and transcutaneous carbon dioxide tension (Ptcco 2 ) were monitored beginning shortly after admission to the emergency department. The stochastic search and Display Model with a decision support program based on noninvasive hemodynamic monitoring was applied to 396 severely ill patients with major thoracic and thoracoabdominal trauma. The survival probability (SP) was calculated during initial resuscitation continuously until patients were stabilized, and compared with the actual outcome when the patient was discharged from the hospital usually a week or more later. Results The CI, Spo 2 , Ptco 2 , and MAP were appreciably higher in survivors than in nonsurvivors. HR and Ptcco 2 were higher in the nonsurvivors. The calculated SP in the first 24-h observation period of survivors of chest wounds averaged 83 ± 18% (± SD) and 62 ± 19% for nonsurvivors. Misclassifications were 9.6%. The relative effects of alternative therapies were evaluated before and after therapy, using hemodynamic monitoring and SP as criteria. Conclusions Noninvasive hemodynamic monitoring with an information system provided a feasible approach to early outcome predictions and therapeutic decision support.

  • mathematical program for outcome prediction and therapeutic support for trauma beginning within 1 hr of admission a preliminary report
    Critical Care Medicine, 2005
    Co-Authors: William C Shoemaker, Demetrios Demetriades, David S Bayard, Andreas Botnen, Ashutosh Gandhi, Lichien Chien, Matthew J Martin, Linda S Chan, Nasrollah Ahmadpour, Roger W Jelliffe
    Abstract:

    Objectives: The aims were a) to noninvasively monitor acute emergency trauma patients beginning within 1 hr after admission to the emergency department; b) to prospectively predict outcome; and c) to evaluate the relative effectiveness of various modes of therapy. Design: Prospective outcome prediction study using a mathematical search and Display Model based on noninvasive hemodynamic monitoring. Setting: A level I trauma service in a large university-run inner-city public hospital. Patients: We studied 185 consecutively noninvasively monitored emergency patients. Interventions: We noninvasively monitored cardiac index, mean arterial blood pressure, heart rate, pulse oximetry, and transcutaneous oxygen and carbon dioxide tensions beginning within 1-hr after emergency admission. Measurements and Main Results: The cardiac index, pulse oximetry, transcutaneous oxygen tension, transcutaneous carbon dioxide tension, and mean arterial blood pressure were higher in survivors than in nonsurvivors in the initial resuscitation period and at the hemodynamic nadir. Heart rate and transcutaneous carbon dioxide tension were higher in the nonsurvivors. The calculated survival probability in the first hour observation period of survivors averaged 85 ± 14% vs. 69 ± 16% for nonsurvivors (p = .0001). Misclassifications of the series as a whole were 11.3%; after excluding brain death from severe head injury, there were 6.4% misclassifications. A decision support system evaluated the effects of various therapies based on responses of patients with similar clinical-hemodynamic states. Conclusion: Noninvasive hemodynamic monitoring and an information system provided a feasible approach to predict outcome early and to evaluate prospectively the efficacy of various therapies.

David S Bayard - One of the best experts on this subject based on the ideXlab platform.

  • outcome prediction in chest injury by a mathematical search and Display program
    Chest, 2005
    Co-Authors: William C Shoemaker, David S Bayard, Lichien Chien, Linda S Chan, Roger W Jelliffe
    Abstract:

    Objective This study applies a stochastic or probability search and Display Model to prospectively predict outcome and to evaluate therapeutic effects in a consecutively monitored series of 396 patients with severe thoracic and thoracoabdominal injuries. Study design Prospective observational study of outcome prediction using noninvasive hemodynamic monitoring by previously designed protocols and tested against actual outcome at hospital discharge in a level 1 trauma service of a university-run, inner-city public hospital. Methods Cardiac index (CI), heart rate (HR), mean arterial pressure (MAP), arterial oxygen saturation measured by pulse oximetry (Spo 2 ), transcutaneous oxygen tension (Ptco 2 ), and transcutaneous carbon dioxide tension (Ptcco 2 ) were monitored beginning shortly after admission to the emergency department. The stochastic search and Display Model with a decision support program based on noninvasive hemodynamic monitoring was applied to 396 severely ill patients with major thoracic and thoracoabdominal trauma. The survival probability (SP) was calculated during initial resuscitation continuously until patients were stabilized, and compared with the actual outcome when the patient was discharged from the hospital usually a week or more later. Results The CI, Spo 2 , Ptco 2 , and MAP were appreciably higher in survivors than in nonsurvivors. HR and Ptcco 2 were higher in the nonsurvivors. The calculated SP in the first 24-h observation period of survivors of chest wounds averaged 83 ± 18% (± SD) and 62 ± 19% for nonsurvivors. Misclassifications were 9.6%. The relative effects of alternative therapies were evaluated before and after therapy, using hemodynamic monitoring and SP as criteria. Conclusions Noninvasive hemodynamic monitoring with an information system provided a feasible approach to early outcome predictions and therapeutic decision support.

  • mathematical program for outcome prediction and therapeutic support for trauma beginning within 1 hr of admission a preliminary report
    Critical Care Medicine, 2005
    Co-Authors: William C Shoemaker, Demetrios Demetriades, David S Bayard, Andreas Botnen, Ashutosh Gandhi, Lichien Chien, Matthew J Martin, Linda S Chan, Nasrollah Ahmadpour, Roger W Jelliffe
    Abstract:

    Objectives: The aims were a) to noninvasively monitor acute emergency trauma patients beginning within 1 hr after admission to the emergency department; b) to prospectively predict outcome; and c) to evaluate the relative effectiveness of various modes of therapy. Design: Prospective outcome prediction study using a mathematical search and Display Model based on noninvasive hemodynamic monitoring. Setting: A level I trauma service in a large university-run inner-city public hospital. Patients: We studied 185 consecutively noninvasively monitored emergency patients. Interventions: We noninvasively monitored cardiac index, mean arterial blood pressure, heart rate, pulse oximetry, and transcutaneous oxygen and carbon dioxide tensions beginning within 1-hr after emergency admission. Measurements and Main Results: The cardiac index, pulse oximetry, transcutaneous oxygen tension, transcutaneous carbon dioxide tension, and mean arterial blood pressure were higher in survivors than in nonsurvivors in the initial resuscitation period and at the hemodynamic nadir. Heart rate and transcutaneous carbon dioxide tension were higher in the nonsurvivors. The calculated survival probability in the first hour observation period of survivors averaged 85 ± 14% vs. 69 ± 16% for nonsurvivors (p = .0001). Misclassifications of the series as a whole were 11.3%; after excluding brain death from severe head injury, there were 6.4% misclassifications. A decision support system evaluated the effects of various therapies based on responses of patients with similar clinical-hemodynamic states. Conclusion: Noninvasive hemodynamic monitoring and an information system provided a feasible approach to predict outcome early and to evaluate prospectively the efficacy of various therapies.

Linda S Chan - One of the best experts on this subject based on the ideXlab platform.

  • outcome prediction in chest injury by a mathematical search and Display program
    Chest, 2005
    Co-Authors: William C Shoemaker, David S Bayard, Lichien Chien, Linda S Chan, Roger W Jelliffe
    Abstract:

    Objective This study applies a stochastic or probability search and Display Model to prospectively predict outcome and to evaluate therapeutic effects in a consecutively monitored series of 396 patients with severe thoracic and thoracoabdominal injuries. Study design Prospective observational study of outcome prediction using noninvasive hemodynamic monitoring by previously designed protocols and tested against actual outcome at hospital discharge in a level 1 trauma service of a university-run, inner-city public hospital. Methods Cardiac index (CI), heart rate (HR), mean arterial pressure (MAP), arterial oxygen saturation measured by pulse oximetry (Spo 2 ), transcutaneous oxygen tension (Ptco 2 ), and transcutaneous carbon dioxide tension (Ptcco 2 ) were monitored beginning shortly after admission to the emergency department. The stochastic search and Display Model with a decision support program based on noninvasive hemodynamic monitoring was applied to 396 severely ill patients with major thoracic and thoracoabdominal trauma. The survival probability (SP) was calculated during initial resuscitation continuously until patients were stabilized, and compared with the actual outcome when the patient was discharged from the hospital usually a week or more later. Results The CI, Spo 2 , Ptco 2 , and MAP were appreciably higher in survivors than in nonsurvivors. HR and Ptcco 2 were higher in the nonsurvivors. The calculated SP in the first 24-h observation period of survivors of chest wounds averaged 83 ± 18% (± SD) and 62 ± 19% for nonsurvivors. Misclassifications were 9.6%. The relative effects of alternative therapies were evaluated before and after therapy, using hemodynamic monitoring and SP as criteria. Conclusions Noninvasive hemodynamic monitoring with an information system provided a feasible approach to early outcome predictions and therapeutic decision support.

  • mathematical program for outcome prediction and therapeutic support for trauma beginning within 1 hr of admission a preliminary report
    Critical Care Medicine, 2005
    Co-Authors: William C Shoemaker, Demetrios Demetriades, David S Bayard, Andreas Botnen, Ashutosh Gandhi, Lichien Chien, Matthew J Martin, Linda S Chan, Nasrollah Ahmadpour, Roger W Jelliffe
    Abstract:

    Objectives: The aims were a) to noninvasively monitor acute emergency trauma patients beginning within 1 hr after admission to the emergency department; b) to prospectively predict outcome; and c) to evaluate the relative effectiveness of various modes of therapy. Design: Prospective outcome prediction study using a mathematical search and Display Model based on noninvasive hemodynamic monitoring. Setting: A level I trauma service in a large university-run inner-city public hospital. Patients: We studied 185 consecutively noninvasively monitored emergency patients. Interventions: We noninvasively monitored cardiac index, mean arterial blood pressure, heart rate, pulse oximetry, and transcutaneous oxygen and carbon dioxide tensions beginning within 1-hr after emergency admission. Measurements and Main Results: The cardiac index, pulse oximetry, transcutaneous oxygen tension, transcutaneous carbon dioxide tension, and mean arterial blood pressure were higher in survivors than in nonsurvivors in the initial resuscitation period and at the hemodynamic nadir. Heart rate and transcutaneous carbon dioxide tension were higher in the nonsurvivors. The calculated survival probability in the first hour observation period of survivors averaged 85 ± 14% vs. 69 ± 16% for nonsurvivors (p = .0001). Misclassifications of the series as a whole were 11.3%; after excluding brain death from severe head injury, there were 6.4% misclassifications. A decision support system evaluated the effects of various therapies based on responses of patients with similar clinical-hemodynamic states. Conclusion: Noninvasive hemodynamic monitoring and an information system provided a feasible approach to predict outcome early and to evaluate prospectively the efficacy of various therapies.