icu: Intensive Care Unit study data

In LogisticDx: Diagnostic Tests for Models with a Binomial Response

Description

Intensive Care Unit study data

Format

A data.frame with 200 observations (rows) and 14 variables (columns).

Details

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:

ID

Identification code.

STA

Vital status (factor):

0

lived

1

died

AGE

Age (years).

SEX

Gender (factor):

0

male

1

female

RACE

Race (factor):

1

white

2

black

3

other

SER

Service, when admitted to ICU (factor):

0

Medical

1

Surgical

CAN

Cancer part of present problem? (factor):

0

no

1

yes

CRN

Chronic renal failure? (factor):

0

no

1

yes

INF

Infection probable when admitted to ICU? (factor):

0

no

1

yes

CPR

Cardiopulmonary resuscitataion prior to ICU admission? (factor):

0

no

1

yes

SYS

Systolic blood pressure (mmHG) when admitted to ICU.

HRA

Heart rate when admitted to ICU.

PRE

Previous admission to ICU within 6 months? (factor):

0

no

1

yes

TYP

Type of admission (factor):

0

elective

1

emergency

FRA

Fracture present (long bone, multiple, neck, single area or hip)? (factor):

0

no

1

yes

PO2

pO2 from initial blood gases (factor):

0

>60

1

<=60

PH

pH from initial blood gases (factor):

0

>=7.25

1

<7.25

PCO

pCO2 from initial blood gases (factor):

0

>=18

1

<18

CRE

Creatinine from initial blood gases (factor):

0

<=2

1

>2

LOC

Level of consciousness when admitted to ICU (factor):

0

no_coma

1

deep_stupor

2

coma

Source

Wiley FTP

References

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. JAMA (paywall)

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. JAMA (paywall)

LogisticDx documentation built on May 2, 2019, 6:15 p.m.