Thomas L Higgins

Summary

Affiliation: Baystate Medical Center
Country: USA

Publications

  1. doi request reprint Prospective validation of the intensive care unit admission Mortality Probability Model (MPM0-III)
    Thomas L Higgins
    Department of Medicine, Critical Care Division, Springfield, MA, USA
    Crit Care Med 37:1619-23. 2009
  2. doi request reprint Outcome prediction in critical care: the Mortality Probability Models
    Thomas L Higgins
    Baystate Medical Center, Critical Care Division, Springfield, MA, USA
    Curr Opin Crit Care 14:498-505. 2008
  3. ncbi request reprint Invited commentary
    Thomas L Higgins
    Critical Care Services, Baystate Medical Center, Springfield, MA 01199, USA
    Ann Thorac Surg 79:1908. 2005
  4. ncbi request reprint Quantifying risk and benchmarking performance in the adult intensive care unit
    Thomas L Higgins
    Baystate Medical Center, Critical Care Division, 759 Chestnut St, Springfield, MA 01199, USA
    J Intensive Care Med 22:141-56. 2007
  5. doi request reprint Subgroup mortality probability models: are they necessary for specialized intensive care units?
    Brian H Nathanson
    OptiStatim LLC, Longmeadow, MA, USA
    Crit Care Med 37:2375-86. 2009
  6. ncbi request reprint Assessing contemporary intensive care unit outcome: an updated Mortality Probability Admission Model (MPM0-III)
    Thomas L Higgins
    Critical Care Division, Baystate Medical Center, Springfield, MA, USA
    Crit Care Med 35:827-35. 2007
  7. ncbi request reprint A revised method to assess intensive care unit clinical performance and resource utilization
    Brian H Nathanson
    OptiStatim LLC, Longmeadow, MA, USA
    Crit Care Med 35:1853-62. 2007
  8. ncbi request reprint Early indicators of prolonged intensive care unit stay: impact of illness severity, physician staffing, and pre-intensive care unit length of stay
    Thomas L Higgins
    Department of Medicine, Baystate Medical Center, Springfield, MA, USA
    Crit Care Med 31:45-51. 2003
  9. doi request reprint Development and validation of a model that uses enhanced administrative data to predict mortality in patients with sepsis
    Tara Lagu
    Center for Quality of Care Research, Division of General Internal Medicine and Geriatrics, Baystate Medical Center, Springfield, MA, USA
    Crit Care Med 39:2425-30. 2011
  10. ncbi request reprint Hemodynamic consequences of heart-lung interactions
    Jay S Steingrub
    Critical Care Division, Baystate Medical Center, Springfield, MA 01199, USA
    J Intensive Care Med 18:92-9. 2003

Detail Information

Publications18

  1. doi request reprint Prospective validation of the intensive care unit admission Mortality Probability Model (MPM0-III)
    Thomas L Higgins
    Department of Medicine, Critical Care Division, Springfield, MA, USA
    Crit Care Med 37:1619-23. 2009
    ..This data set was external from the MPM0-III developmental and internal validation data collected between 2001 and 2004...
  2. doi request reprint Outcome prediction in critical care: the Mortality Probability Models
    Thomas L Higgins
    Baystate Medical Center, Critical Care Division, Springfield, MA, USA
    Curr Opin Crit Care 14:498-505. 2008
    ..These models must be periodically updated to reflect current medical practices. This article will review the history of the Mortality Probability Model (MPM), discuss why and how it was recently updated, and outline examples of MPM use...
  3. ncbi request reprint Invited commentary
    Thomas L Higgins
    Critical Care Services, Baystate Medical Center, Springfield, MA 01199, USA
    Ann Thorac Surg 79:1908. 2005
  4. ncbi request reprint Quantifying risk and benchmarking performance in the adult intensive care unit
    Thomas L Higgins
    Baystate Medical Center, Critical Care Division, 759 Chestnut St, Springfield, MA 01199, USA
    J Intensive Care Med 22:141-56. 2007
    ..It is important for clinicians to understand how these scores are derived and how they are properly applied to quantify patient severity of illness and benchmark intensive care unit performance...
  5. doi request reprint Subgroup mortality probability models: are they necessary for specialized intensive care units?
    Brian H Nathanson
    OptiStatim LLC, Longmeadow, MA, USA
    Crit Care Med 37:2375-86. 2009
    ..MPM0-III is an important benchmarking tool for intensive care units in Project IMPACT. Overall, MPM0-III has excellent discrimination and calibration but its performance varies on six common patient subsets...
  6. ncbi request reprint Assessing contemporary intensive care unit outcome: an updated Mortality Probability Admission Model (MPM0-III)
    Thomas L Higgins
    Critical Care Division, Baystate Medical Center, Springfield, MA, USA
    Crit Care Med 35:827-35. 2007
    ..To update the Mortality Probability Model at intensive care unit (ICU) admission (MPM0-II) using contemporary data...
  7. ncbi request reprint A revised method to assess intensive care unit clinical performance and resource utilization
    Brian H Nathanson
    OptiStatim LLC, Longmeadow, MA, USA
    Crit Care Med 35:1853-62. 2007
    ..MPM0-II was recently updated (MPM0-III) but not the model for predicting resource utilization. The objective was to develop a new WHD model and revised Rapoport-Teres graph...
  8. ncbi request reprint Early indicators of prolonged intensive care unit stay: impact of illness severity, physician staffing, and pre-intensive care unit length of stay
    Thomas L Higgins
    Department of Medicine, Baystate Medical Center, Springfield, MA, USA
    Crit Care Med 31:45-51. 2003
    ..Such factors might include process of care, including active involvement of full-time ICU physicians and length of hospital stay before ICU admission...
  9. doi request reprint Development and validation of a model that uses enhanced administrative data to predict mortality in patients with sepsis
    Tara Lagu
    Center for Quality of Care Research, Division of General Internal Medicine and Geriatrics, Baystate Medical Center, Springfield, MA, USA
    Crit Care Med 39:2425-30. 2011
    ..We aimed to determine whether a sepsis risk-adjustment model that uses only administrative data could be used when other intensive care unit risk-adjustment methods are unavailable...
  10. ncbi request reprint Hemodynamic consequences of heart-lung interactions
    Jay S Steingrub
    Critical Care Division, Baystate Medical Center, Springfield, MA 01199, USA
    J Intensive Care Med 18:92-9. 2003
    ..These effects will aid in understanding the complex interactions between ventilation and right and left ventricular pressures and volumes, as well as the influence of lung inflation pressure on ventricular interdependence...
  11. ncbi request reprint Drotrecogin alfa (activated) in sepsis: initial experience with patient selection, cost, and clinical outcomes
    Thomas L Higgins
    Critical Care Division, Department of Medicine, Baystate Medical Center Tufts University School of Medicine, Springfield, MA 01199, USA
    J Intensive Care Med 20:339-45. 2005
    ..Total cost of hospital care, including mean drotrecogin alfa, activated drug cost of 7,312 US dollars, exceeded reimbursement by a mean of 18,227 US dollars...
  12. doi request reprint The association between ICU readmission rate and patient outcomes
    Andrew A Kramer
    Cerner Corporation, Vienna, VA, USA
    Crit Care Med 41:24-33. 2013
    ..To examine the association between ICU readmission rates and case-mix-adjusted outcomes...
  13. doi request reprint Intensive care unit readmissions in U.S. hospitals: patient characteristics, risk factors, and outcomes
    Andrew A Kramer
    Cerner Corporation, Vienna, VA, USA
    Crit Care Med 40:3-10. 2012
    ..To examine which patient characteristics increase the risk for intensive care unit readmission and assess the association of readmission with case-mix adjusted mortality and resource use...
  14. ncbi request reprint New-generation pulse oximetry in the care of critically ill patients
    Karen K Giuliano
    The Boston College William F Connell School of Nursing, Chestnut Hill, MA, USA
    Am J Crit Care 14:26-37; quiz 38-9. 2005
    ....
  15. ncbi request reprint Who's on first?
    Thomas L Higgins
    Crit Care Med 35:2650-1. 2007
  16. doi request reprint Placing bets with a full house
    Thomas L Higgins
    Crit Care Med 36:1008-9. 2008
  17. ncbi request reprint Timing is everything
    Thomas L Higgins
    Chest 126:4-6. 2004
  18. ncbi request reprint An exploratory study using data envelopment analysis to assess neurotrauma patients in the intensive care unit
    Brian Harris Nathanson
    Department of Mechanical and Industrial Engineering, University of Massachusetts Amherst, USA
    Health Care Manag Sci 6:43-55. 2003
    ....