Wj. Chwals et al., DETECTION OF POSTOPERATIVE SEPSIS IN INFANTS WITH THE USE OF METABOLIC STRESS MONITORING, Archives of surgery, 129(4), 1994, pp. 437-442
Objectives: To evaluate the ability of serial protein metabolic monito
ring to detect postoperative injury due to serious bacterial infection
in infants by comparing changes observed in these protein parameters
with more conventionally accepted indexes of infection. Design: Retros
pective review of infants whose postoperative course was complicated b
y bacterial infection compared with a matched cohort of infants in who
m bacterial infection did not develop postoperatively. Setting: Neonat
al and pediatric intensive care units at the Wake Forest University Me
dical Center, Winston-Salem, NC. Patients: Critically ill infants (N=4
0) recovering from major surgical intervention. Main Outcome Measures:
Serum C-reactive protein, prealbumin, and tumor necrosis factor conce
ntrations were compared with the white blood cell count, immature-tota
l neutrophil ratio, and body temperature obtained within 24 hours befo
re and following the new onset of culture-established postoperative ba
cterial infection in 13 infants. These infants were compared with a ma
tched cohort of 27 infants in whom postoperative bacterial infection d
id not develop. Results: Only C-reactive protein (P=.0001) and prealbu
min (P=.0003) levels were significantly altered in association with th
e onset of serious bacterial infection (paired t test). The C-reactive
protein levels were clearly superior to all other variables in predic
ting postoperative infection (at cutoff point >6.0 mg/dL; sensitivity,
92%; specificity, 96%). The predictive power of prealbumin level was
lower, but acceptable (at cutoff point less than or equal to 9.0 mg/dL
; sensitivity, 85%; specificity, 74 %) Conclusions: Monitoring of seri
al protein metabolic stress with C-reactive protein and prealbumin lev
els in infants following operations is more effective than the white b
lood cell count, immature-total neutrophil ratio, or temperature in de
tecting serious postoperative infections.