Intensive Care Unit study data
A data.frame with
\(200\) observations (rows)
and \(14\) variables (columns).
A sample of 200 subjects who were part of a study on survival of patients admitted to an adult intensive care unit (ICU).
The observed variable values were modified to protect patient confidentiality.
Columns are:
Identification code.
Vital status (factor):
lived
died
Age (years).
Gender (factor):
male
female
Race (factor):
white
black
other
Service, when admitted to ICU (factor):
Medical
Surgical
Cancer part of present problem? (factor):
no
yes
Chronic renal failure? (factor):
no
yes
Infection probable
when admitted to ICU? (factor):
no
yes
Cardiopulmonary resuscitataion prior
to ICU admission? (factor):
no
yes
Systolic blood pressure (mmHG) when admitted to ICU.
Heart rate when admitted to ICU.
Previous admission to ICU
within 6 months? (factor):
no
yes
Type of admission (factor):
elective
emergency
Fracture present (long bone, multiple,
neck, single area or hip)? (factor):
no
yes
pO2 from initial blood gases (factor):
>60
<=60
pH from initial blood gases (factor):
>=7.25
<7.25
pCO2 from initial blood gases (factor):
>=18
<18
Creatinine from
initial blood gases (factor):
<=2
>2
Level of consciousness
when admitted to ICU (factor):
no_coma
deep_stupor
coma
H&L 2nd ed. Page 22, Section 1.6.1.
Lemeshow S, Teres D, Avrunin JS, Pastides H 1988. Predicting the outcome of intensive care unit patients. Journal of the American Statistical Association. 83(402):348--356. JSTOR (free)
Lemeshow S, Teres D, Klar J, Avrunin JS, Gehlbach SH , Rapoport John 1993. Mortality Probability Models (MPM II) based on an international cohort of intensive care unit patients. Journal of the American Medical Association. 270(20):2478--2486. 10.1001/jama.1993.03510200084037
Lemeshow S, Le Gall J 1994. Modeling the severity of illness of ICU patients: a systems update. Journal of the American Medical Association. 272(13):1049--1055. 10.1001/jama.1994.03520130087038