Prospective analysis of a fever evaluation algorithm after major gynecologic surgery.
OBJECTIVE
We performed a prospective trial to evaluate the feasibility, accuracy, and safety of a postoperative fever algorithm that is based on symptoms and physical examination in an attempt to decrease the random use of urine cultures, blood cultures, and chest radiographs.


METHODS
Our fever algorithm consisted of assessing all febrile postoperative patients for signs and symptoms of infection. If none were present, no tests were ordered.


RESULTS
Twenty-eight of 105 consecutive patients (27%) had postoperative fever after major gynecologic surgery. Three of 28 febrile patients (11%) were evaluated with tests according to the algorithm. Two of 28 febrile patients (7%) were evaluated in violation of the algorithm. Four febrile patients (14%) had documented infections. Two patients had infections within the first 30 days after discharge. Compared with our previous retrospective review, significantly fewer febrile patients were evaluated with testing with a significantly increased yield of positive test results.


CONCLUSIONS
Our postoperative fever evaluation algorithm that is based on symptoms and physical examination is feasible, is safe, decreases random testing, and increases the yield of positive test results.
Schwandt
A
A
Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Medical College of Ohio, Toledo 43614-5809, USA.
Andrews
S J
SJ
Fanning
J
J
D000328:Adult; D000465:Algorithms; D005240:Feasibility Studies; D005260:Female; D005334:Fever / Q000175:diagnosis*; D013509:Gynecologic Surgical Procedures; D006801:Humans; D008875:Middle Aged; D010808:Physical Examination; D011014:Pneumonia / Q000175:diagnosis; D011183:Postoperative Complications / Q000175:diagnosis; D011184:Postoperative Period; D011446:Prospective Studies; D012449:Safety; D014552:Urinary Tract Infections / Q000175:diagnosis