Continuous noninvasive tissue oximetry in the early evaluation of the combat casualty: a prospective study.
BACKGROUND
We hypothesized that near-infrared spectroscopy (NIRS)-derived tissue oxygenation saturation (StO2) could assist in identifying shock in casualties arriving to a combat support hospital and predict the need for life-saving interventions (LSIs) and blood transfusions.


METHODS
We performed a prospective observational trial at a single US Army combat support hospital in Iraq from August to December 2007. Arriving casualties had NIRS-derived StO2 recorded in the emergency department. Minimum (StO2 min) and initial 2-minute averaged StO2 and tissue hemoglobin index readings were used as end points. Outcomes measured were requirement for LSIs, any blood transfusion, massive transfusion (>10 units in 24 hours), and early mortality. The data were subjected to univariate and multivariate logistic regression modeling.


RESULTS
Of the 147 combat casualties enrolled in the trial, 72 (49%) required an LSI, 42 (29%) required blood transfusion, and 10 (7%) required massive transfusion. On multivariate logistic regression analysis of the whole study group, systolic blood pressure (SBP), international normalized ratio, tissue hemoglobin index, and hematocrit predicted blood transfusion with an area under the curve of 0.90 (0.84-0.96), with a confidence interval of 95%. When just the group with an SBP >90 was analyzed, independent predictors of patients requiring blood transfusion on logistic regression analysis were StO2 min (odds ratio of 1.35) and hematocrit (odds ratio of 2.66) for an area under the curve of 0.84 (0.76-0.92).


CONCLUSIONS
NIRS-derived StO2 obtained on arrival predicts the need for blood transfusion in casualties who initially seem to be hemodynamically stable (SBP >90). Further study of this technology for use in the resuscitation of trauma patients is warranted.
Beekley
Alec C
AC
Department of General Surgery, Madigan Army Medical Center, Tacoma, Washington, USA. alec.beekley@amedd.army.mil
Martin
Matthew J
MJ
Nelson
Teresa
T
Grathwohl
Kurt W
KW
Griffith
Matthew
M
Beilman
Gregory
G
Holcomb
John B
JB
D000328:Adult; D001803:Blood Transfusion / Q000379:methods*; D016001:Confidence Intervals; D005260:Female; D005500:Follow-Up Studies; D006454:Hemoglobins / Q000378:metabolism*; D006801:Humans; D008297:Male; D008991:Monitoring, Physiologic / Q000379:methods*; D016017:Odds Ratio; D010092:Oximetry / Q000379:methods*; D010101:Oxygen Consumption / Q000502:physiology*; D011446:Prospective Studies; D015996:Survival Rate / Q000639:trends; D013997:Time Factors; D015599:Trauma Severity Indices; D016896:Treatment Outcome; D014218:Triage / Q000379:methods*; D014481:United States / Q000453:epidemiology; D014947:Wounds and Injuries / Q000175:diagnosis / Q000401:mortality / Q000628:therapy*
D006454:Hemoglobins