Scientific article
English

The dynamics of disease progression in sepsis: Markov modeling describing the natural history and the likely impact of effective antisepsis agents

Published inClinical infectious diseases, vol. 27, no. 1, p. 185-190
Publication date1998
Abstract

We conducted a 9-month prospective cohort study of 2,527 patients with systemic inflammatory response syndrome in three intensive care units and three general wards in a tertiary health care institution. Markov models were developed to predict the probability of movement to and from more severe stages--sepsis, severe sepsis, or septic shock--at 1, 3, and 7 days. For patients with sepsis, severe sepsis, and septic shock, the probabilities of remaining in the same category after 1 day were.65,.68, and.61, respectively. The probability for progression after 1 day was.09 for sepsis to severe sepsis and.026 for severe sepsis to shock. The probability of patients with sepsis, severe sepsis, and septic shock dying after 1 day was.005,.009, and.079, respectively. The model can be used to predict the reduction in end organ dysfunction and mortality with use of increasingly effective antisepsis agents.

Keywords
  • Disease Progression
  • Humans
  • Intensive Care Units
  • Markov Chains
  • Probability
  • Prospective Studies
  • Sepsis/drug therapy/mortality/ physiopathology
  • Systemic Inflammatory Response Syndrome/drug therapy/mortality/physiopathology
Citation (ISO format)
RANGEL-FRAUSTO, M. S. et al. The dynamics of disease progression in sepsis: Markov modeling describing the natural history and the likely impact of effective antisepsis agents. In: Clinical infectious diseases, 1998, vol. 27, n° 1, p. 185–190.
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Additional URL for this publicationhttp://www.jstor.org/stable/4460469
Journal ISSN1058-4838
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