NAME:  	The ICU Data (ICU.DAT)
KEYWORDS:  Logistic Regression
SIZE:  200 observations, 21 variables

SOURCE: Hosmer and Lemeshow (2000) Applied Logistic Regression: Second 
	Edition.  These data are copyrighted by John Wiley & Sons Inc. and must
	be acknowledged and used accordingly.  Data were collected at Baystate 
	Medical Center in Springfield, Massachusetts.


DESCRIPTIVE ABSTRACT:

The ICU data set consists of a sample of 200 subjects who were part of
a much larger study on survival of patients following admission to an adult
intensive care unit (ICU).  The major goal of this study was to develop a
logistic regression model to predict the probability of survival to hospital
discharge of these patients and to study the risk factors associated with 
ICU mortality.  A number of publications have appeared which have focused on
various facets of the problem.  The reader wishing to learn more about the
clinical aspects of this study should start with Lemeshow, Teres, Avrunin,
and Pastides (1988).


LIST OF VARIABLES:
  
Column 
Position  	Name				Codes/Values	Abbreviations
-------------------------------------------------------------------------------
6-8		Identification Code		ID Number	ID

11		Vital Status			0 = Lived	STA
						1 = Died

14-15		Age				Years		AGE

18		Sex				0 = Male	SEX
						1 = Female

21		Race				1 = White	RACE
						2 = Black
						3 = Other

24		Service at ICU Admission	0 = Medical	SER
						1 = Surgical

27		Cancer Part of Present		0 = No		CAN
		Problem				1 = Yes

30		History of Chronic Renal	O = No		CRN
		Failure				1 = Yes

33		Infection Probable at ICU	0 = No		INF
		Admission			1 = Yes

36		CPR Prior to ICU Admission	0 = No		CPR	
						1 = Yes

39-41		Systolic Blood Pressure at	mm Hg		SYS
		ICU Admission

44-46		Heart Rate at ICU Admission	Beats/min	HRA	
	
49		Previous Admission to an ICU	0 = No		PRE	
		within 6 Months			1 = Yes
	
52		Type of Admission		0 = Elective	TYP
						1 = Emergency

55		Long Bone, Multiple, Neck,	0 = No		FRA
		Single Area, or Hip Fracture	1 = Yes

58		PO2 from Initial Blood Gases	0 = > 60	PO2
						1 = < 60

61		PH from Initial Blood Gases	0 => 7.25	PH
						1 =< 7.25

64		PCO2 from initial Blood		0 = < 45	PCO
		Gases				1 = > 45

67		Bicarbonate from Initial	0 = > 18	BIC
		Blood Gases			1 = < 18

70		Creatinine from Initial Blood	0 = < 2.0	CRE
		Gases				1 = > 2.0

73		Level of Consciousness at ICU	O = No Coma	LOC
		Admission			or Stupor
						1 = Deep
						stupor	
						2 = Coma

----------------------------------------------------------------------------

PEDAGOGICAL NOTES:

These data have been used to fit an ordinary logistic regression 
model and for various exercises involving logistic regression.


REFERENCES:

1.  Hosmer and Lemeshow, Applied Logistic Regression, Wiley, (1989).

2.  Lemeshow, S., Teres, D., Avrunin, J. S., Pastides, H. (1988). Predicting
    the Outcome of Intensive Care Unit Patients. Journal of the American
    Statistical Association, 83, 348-356.