Description

Tiret et al studied patients having complications within 24 hours of a surgical procedure requiring anesthesia.


Patient selection:

(1) age over 40 years

(2) noncardiac surgery

 

Parameters used in step-up logistic regression:

(1) age of the patient

(2) ASA classification score

(3) emergency vs elective procedure

(4) major vs minor procedure

 


ASA Classification

Score

normal, healthy

1

mild systemic disease

2

severe systemic disease

3

incapacitating systemic disease

4

moribund

5

 

Major procedures:

(1) neurosurgery

(2) major intraperitoneal

(3) intrathoracic

(4) aortic

(5) major orthopedic

 

Parameter

Finding

Value

age of the patient in years

 

age

emergency surgical procedure

no

0

 

yes

1

major surgical procedure

no

0

 

yes

1

ASA classification score

 

score

 

risk score =

= 1000 * ((0.015 * (age in years)) + (0.7 * (value for emergency surgery)) + (1.079 * (value for major procedure)) + (1.121 * (ASA score)))

 

where:

• The regression coefficients are the combined subset values from Table II, page 951.

 

Interpretation:

• minimum score: 1,736 (age 41, ASA class 1, nonemergency, not major procedure)

• maximum score: around 8,880, depending on age

• The risk of complications increases as the risk score increases.

• Complications occurring with scores under 2,000 were most often due to errors in anesthesia or the rare occurrence of anaphylaxis to the anesthetic agent.

 

Cutoff Score

Sensitivity

Specificity

Positive Predictive Value

Percent of Patients

3,000

88%

58%

1%

42%

3,500

77%

79%

2%

21%

4,000

73%

81%

3%

19%

4,500

58%

92%

4%

9%

5,500

42%

97%

9%

3%

from Table IV, page 952

 

In the implementation I have used < 3,000 as low risk; > 5,000 as high risk; and 3,000-5,000 as intermediate risk groups.


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