Ballian et al developed clinical prediction rules for a patient undergoing laparoscopic repair of a giant paraesophageal hernia. One model predicts postoperative morbidity. The authors are from the University of Pittsburgh.
Patient selection: laparoscopic repair of a giant paraesophageal hernia
Outcome: morbidity (pneumonia, reintubation, postoperative tracheostomy, pulmonary embolism, myocardial infarction, congestive heart failure, acute renal failure, stroke, sepsis, operative site leak, hernia recurrence, readmission, reoperation)
Parameters:
(1) congestive heart failure
(2) pulmonary disease
(3) surgical acuity
(4) age of the patient in years
(5) sex
Parameter |
Finding |
Points |
congestive heart failure |
absent |
0 |
|
present |
4 |
pulmonary disease |
absent |
0 |
|
present |
2 |
surgical acuity |
elective |
0 |
|
nonelective |
2 |
age of the patient |
< 50 years |
0 |
|
50 to 59 years |
1 |
|
60 to 79 years |
2 |
|
>= 80 |
3 |
sex |
female |
0 |
|
male |
1 |
total score =
= SUM(points for all 5 parameters)
Interpretation:
• minimum score: 0
• maximum score: 12
• The higher the score the greater the morbidity.
Total Score |
Risk Group |
At least 1 major adverse outcome |
0 to 2 |
minimal |
13.5% |
3 |
19.7% |
|
4 |
intermediate |
26.1% |
5 to 12 |
high |
40.6% |
Performance:
• The area under the ROC curve is 0.678.
Specialty: Anesthesiology, Surgery, general, Gastroenterology