The accuracy of clinical prediction of prognosis for patients admitted with sepsis to internal medicine departments

Ann Med. 2015;47(7):555-60. doi: 10.3109/07853890.2015.1089361. Epub 2015 Oct 1.

Abstract

Introduction: Prognosis estimation offered by physicians for patients inflicted by sepsis on their admission to Internal Medicine (IM) departments is considered a challenge. Early prognosis estimation is critical and determines the intensity of treatment offered. The accuracy of prognosis estimation made by physicians has previously been investigated mainly among intensive care physicians and oncologists.

Objective: To ascertain the accuracy of prognosis prediction made by internists for septic patients on admission to IM departments.

Methods: Physicians were asked to estimate the prognosis of every patient identified to have sepsis on admission. Their intuitive assessment of prognosis was incorporated into the patients' electronic medical record. Survival follow-up was recorded until death or for at least 2 years. Later we compared survival with physicians' prognosis estimations.

Results: Prognosis estimation was recorded for 1,073 consecutive septic patients admitted throughout the years 2008-2009 to IM departments. The mean age of patients was 74.7 ± 16.1 years. A total of 42.4% were suspected to have pneumonia, and 65.4% died during a mean follow-up time of 661.1 ± 612.3 days. Almost half of the patients classified to have good prognosis survived compared to 14.9% and 4.9% of those with intermediate and bad prognosis estimation, respectively (P < 0.001).

Conclusion: Internists can discriminate well between septic patients with good, intermediate, and bad prognosis.

Keywords: Internist; physician; prognosis; sepsis; survival.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Female
  • Follow-Up Studies
  • Hospital Departments
  • Hospitalization*
  • Humans
  • Internal Medicine*
  • Male
  • Middle Aged
  • Patient Admission*
  • Prognosis
  • Prospective Studies
  • Sepsis / mortality
  • Sepsis / physiopathology*
  • Survival Rate