Wa. Knaus et al., THE CLINICAL-EVALUATION OF NEW DRUGS FOR SEPSIS - A PROSPECTIVE-STUDYDESIGN BASED ON SURVIVAL ANALYSIS, JAMA, the journal of the American Medical Association, 270(10), 1993, pp. 1233-1241
Objective.- To develop a survival model and severity assessment method
to estimate the 28-day mortality risk for patients with sepsis syndro
me entering phase 2 and 3 drug evaluations. Design.- Retrospective ana
lysis of intensive care unit admissions with sepsis syndrome by means
of log-normal regression to identify risk factors for 28-day mortality
. Prospective application of the model to patients with gram-negative
infection meeting sepsis syndrome criteria from separate data collecti
on (validation group). Patients.- A total of 58 737 intensive care uni
t admissions at 107 hospitals in the United States and Western Europe
screened to yield 1195 patients meeting entry criteria for the sepsis
syndrome study for the original model; 295 hospitalized patients with
gram-negative infection meeting criteria for sepsis syndrome for valid
ation. Main Outcome Measures.- Survival time and mortality at 28 days
after fulfillment of the sepsis syndrome criteria. Results.- Acute phy
siologic abnormalities were the most important prognostic factors infl
uencing outcome (82% of total chi2). Specific disease resulting in int
ensive care unit admission and the time the patient was in the hospita
l and intensive care unit before qualification were also independent r
isks, as were age and a clinical history of cirrhosis. The model's ove
rall classification accuracy was a Somers' Dyx of .52 (rank correlatio
n between predicted risk and 28-day mortality) (receiver operating cha
racteristic area, 0.76), with equal accuracy (Dyx=.59; receiver operat
ing characteristic area, 0.80) in the independent group of patients. C
onclusions.- We created an accurate independent estimate for 28-day mo
rtality risk for patients with sepsis syndrome (severe sepsis). This e
stimate could improve the evaluation of new drugs by investigating whe
ther the drug's benefit varies by patient risk and then determining th
e amount of benefit for individual patients.