Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Thomas Heldt, Ph.D.


This page shows the publications co-authored by Thomas Heldt and Andrew Reisner.
Connection Strength

  1. A computational model of hemorrhage and dehydration suggests a pathophysiological mechanism: Starling-mediated protein trapping. . 2013 Feb 15; 304(4):H620-31.
    View in: PubMed
    Score: 0.540
  2. Validation of a 'Usual Care' Model for Vasopressor Initiation in a Cohort of Emergency Department Patients with Sepsis. Annu Int Conf IEEE Eng Med Biol Soc. 2020 07; 2020:2772-2775.
    View in: PubMed
    Score: 0.228
  3. Antibiotic Delays and Feasibility of a 1-Hour-From-Triage Antibiotic Requirement: Analysis of an Emergency Department Sepsis Quality Improvement Database. Ann Emerg Med. 2020 01; 75(1):93-99.
    View in: PubMed
    Score: 0.217
  4. Clustering Blood Pressure Trajectories in Septic Shock in the Emergency Department. Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul; 2019:494-497.
    View in: PubMed
    Score: 0.213
  5. The authors reply. Crit Care Med. 2018 12; 46(12):e1222-e1223.
    View in: PubMed
    Score: 0.205
  6. Presenting Symptoms Independently Predict Mortality in Septic Shock: Importance of a Previously Unmeasured Confounder. Crit Care Med. 2018 10; 46(10):1592-1599.
    View in: PubMed
    Score: 0.202
  7. Challenges and Opportunities for Emergency Department Sepsis Screening at Triage. Sci Rep. 2018 07 23; 8(1):11059.
    View in: PubMed
    Score: 0.200
  8. Classification models to predict vasopressor administration for septic shock in the emergency department. Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul; 2017:2650-2653.
    View in: PubMed
    Score: 0.186
  9. Multiparameter Intelligent Monitoring in Intensive Care II: a public-access intensive care unit database. Crit Care Med. 2011 May; 39(5):952-60.
    View in: PubMed
    Score: 0.030
  10. The cardiac output from blood pressure algorithms trial. Crit Care Med. 2009 Jan; 37(1):72-80.
    View in: PubMed
    Score: 0.026
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.