Pp. Tekkis et al., Operative mortality rates among surgeons - Comparison of POSSUM and p-POSSUM scoring systems in gastrointestinal surgery, DIS COL REC, 43(11), 2000, pp. 1528-1532
PURPOSE: The original Physiological and Operative Severity Score for the en
Umeration of Mortality and morbidity and the more recent Portsmouth predict
or equation for mortality scoring systems were developed to provide risk-ad
justed mortality rates in general surgery. The aim of this study was to com
pare crude and risk-adjusted operative mortality rates among four surgeons
using the above scoring systems and assess their applicability for patients
scored retrospectively. METHODS: A total of 505 consecutive patients under
going major gastrointestinal surgery were analyzed, 65 percent underwent co
lorectal, 27.5 percent underwent upper gastrointestinal, and 7.5 percent un
derwent small-bowel surgery. The observed:predicted mortality ratios using
the Physiological and Operative Severity Score for the enUmeration of Morta
lity and morbidity and Portsmouth predictor equation for mortality scoring
systems were calculated for each surgeon. RESULTS: The actual overall opera
tive mortality rate was 11.1 percent (elective was 3.9 percent, and emergen
cy was 25.1 percent). The Portsmouth predictor equation for mortality equat
ion predicted a mortality rate of 11.3 percent (P = 0.51). However, the Phy
siological and Operative Severity Score for the enUmeration of Mortality an
d morbidity scoring system was found to overpredict death by a factor of tw
o: 21.5 percent (P < 0.001). Mortality rates among the four surgeons varied
from 7.6 to 14.7 percent but depended on the proportion of elective vs. em
ergency surgery. The observed:predicted ratio for Portsmouth predictor equa
tion for mortality was close to unity (0.905-1.067) for all surgeons, but i
t was 0.45 to 0.56 for Physiological and Operative Severity Score for the e
nUmeration of Mortality and morbidity. CONCLUSION: The Portsmouth predictor
equation for mortality equation seems to be a more accurate predictor of m
ortality in gastrointestinal surgery. It would seem to provide the best cho
ice for analyzing operative mortality rates for individual surgeons, taking
into account variation in case mix and fitness of patients even when score
d retrospectively. This has important implications for the future assessmen
t of surgeons' clinical standards and the assessment of quality of surgical
care.