The Use of an Anesthesia Information Management
System for Prediction of Antiemetic Rescue Treatment at the Postanesthesia
Care Unit
Junger et al. Anesth Analg 2001; 92:1203-9
Reviewed by: R. Prasad, MD
Summary:
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Their computer system (AIMS) collects perioperative data (intraop, PACU,
demographic, medical history) including vitals, drugs given
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Data on 27,626 pts; ~11K for evaluation, rest for validation.
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PONV prophylaxis: by MD preference. No 5-HT3 antagonists
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PONV treatment: metoclopramide, droperidol, dimenhydrinate
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Pts asked repeatedly if nauseated; medicated if true ... med record used
as estimation of PONV incidence.
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Looked at long list of variables related to the patient (but no h/o PONV
or motion sickness), the surgery, the anesthetic (meds used, ...), and
PACU (duration, analgesics, clonidine)
Results:
|
Factor
|
Approx Risk Multiple
|
| Female |
2.5 |
| Opioids in OR |
4 |
| N2O |
2 |
| Smokers |
-2 |
| Propofol IVA (no regional) |
-2.5 |
| Prophylactic Antiemetics |
1 (same risk ... no effect!) |
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Logistic regression equation: PONV probability in PACU = 1/(1+ e^ (4.9682
-0.8949*Female +0.6294*Smoker +0.917*PropofolMAC -0.8078*N2O -1.4301*IntraopOpioids
+0.005*Age -0.0051*DurationMinutes)
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N20 in combination with desflurane (but not propofol) increased PONV
Comments:
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Yet another formula to play with on the Palm
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Unfortunately, did not include potentially important historical info (h/o
PONV, motion sickness) because their database did not record this in any
standardized way. Such a history may add 10-20% to the risk for PONV.
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Only looked at data in PACU - would like to follow patients out to 24 hrs.
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It would be nice if someone could find a statistically valid way of combining
the data from some of these huge studies that have done logistic regression
analysis on a large number of risk factors! Here's my attempt, which I
developed using the very rigorous statistical method of copying and pasting:
PONV
Incidence (just for fun)
Home-Amb-Card-Crit-Neuro-OB-Orth-Pain-Ped-Reg-Tran-Vasc-Misc