Description

Gronbeck et al reported a nomogram for predicting inpatient status following a primary total knee arthroplasty (TKA). The authors are from the University of Connecticut.


Patient selection: age >= 65 years (Medicare0aged)

 

Parameters:

(1) age in years

(2) body mass index (BMI)

(3) hypertension

(4) COPD

(5) anemia

(6) metastatic cancer

(7) bleeding disorder

(8) dyspnea

(9) chronic kidney disease

(10) diagnosis

(11) type of anesthesia

(12) procedure length in minutes

(13) sex

(14) race

(15) current smoker

(16) chronic steroid use

(17) ASA status

(18) functional status

(19) admitted from a facility

(20) diabetes

 

points for age =

= MIN(10.03, (0.0055462 * ((age)^2)) - (0.32353 * (age)) - 2.4403)

 

BMI

Points

< 25

0

25 to 40

(0.01072 * ((BMI)^2)) - (0.4766 * (BMI)) + 5.978

> 40

4.09

 

 

Parameter

Finding

Points

hypertension

no

0

 

yes

0.31

COPD

no

0

 

yes

2.89

anemia

no

0

 

yes

2.86

metastatic cancer

no

0

 

yes

5.89

bleeding disorder

no

0

 

yes

2.34

dyspnea

no

0

 

yes

1.62

chronic kidney disease

no

0

 

yes

2.55

diagnosis

post traumatic arthritis

0

 

osteoarthritis

2.40

 

inflammatory

2.98

 

osteonecrosis

4.74

type of anesthesia

spinal

0

 

general

3.97

procedure length

<= 100 minutes

0

 

> 100 minutes

3.73

sex

male

0

 

female

5.11

race

Asian

0

 

Black

0.83

 

White

0.46

 

other

5.19

current smoker

no

0

 

yes

0.90

chronic steroid use

no

0

 

yes

1.29

ASA

1 or 2

0

 

3 to 5

1.11

functional status

independent

0

 

dependent

6.06

admitted from a facility

no

0

 

yes

4.25

diabetes

no

0

 

yes

1.29

 

total score =

= SUM(points for all of the parameters)

 

Interpretation:

• minimum score: 0

• maximum score: 76.58

 

value of X =

= (0.1104 * (score)) - 0.9526

 

probability of inpatient status =

= 1 / (1 + EXP((-1) * X))

 

Performance:

• The area under the ROC curve is 0.66.

 


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