Avoiding futile damage control laparotomy.
BACKGROUND
The age of a patient, lowest pre-operative pH and lowest core temperature are significant predictors of mortality in patients undergoing damage control surgery (DCS). An equation had previously been devised based on these three variables, which could predict which patients would die despite undergoing DCS (100% positive predictive value, 25% sensitivity). The aim of this study was to validate this equation by testing it on a different cohort of patients undergoing DCS.


METHODS
A retrospective validation study of patients who underwent DCS over a four-year period (1998-2001) was undertaken. The lowest pre-operative pH, lowest pre-operative core temperature and age were recorded and the equation was used to predict which patients were "unsalvageable". This was then compared to the true outcomes of these patients.


RESULTS
A total of 73 case notes were analysed for the period 1998-2001. The equation predicted that eight patients were unsalvageable. All eight patients died (100% positive predictive value), despite DCS being utilised. A further 25 of the rest of the "potentially salvageable" patients also died (24% sensitivity). When data of the original study (2002-2004) was combined with the current study data, the cohort totalled 145 patients, of whom 53 died (37%). Thirteen of these would have been predicted as unsalvageable with a 100% positive predictive value, had the equation been used during this time.


CONCLUSIONS
Both the positive predictive value and sensitivity of the equation remain consistent. When resources are overwhelmed by multiple casualties, this equation could prove useful in identifying patients in whom surgery may be futile, allowing surgical triage to be directed in a more efficient manner.
Kairinos
Nicolas
N
Trauma Centre, Dept of Surgery, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa. nickykairinos@gmail.com
Hayes
Philip M
PM
Nicol
Andrew J
AJ
Kahn
Delawir
D
D000138:Acidosis / Q000401:mortality; D000367:Age Factors; D000368:Aged; D003661:Decision Support Techniques; D006801:Humans; D007035:Hypothermia / Q000401:mortality; D007813:Laparotomy; D008875:Middle Aged; D011237:Predictive Value of Tests; D011379:Prognosis; D012189:Retrospective Studies; D016019:Survival Analysis; D016896:Treatment Outcome; D014218:Triage / Q000379:methods; D014947:Wounds and Injuries / Q000401:mortality* / Q000601:surgery*