Conservative Management of Postoperative Fever in Gynecologic Patients Undergoing Major Abdominal or Vaginal Operations

Autor: Jacob M. Estes, J. Michael Straughn, Kristopher J. Kimball, Charles A. Leath, James E. Kendrick, T. Michael Numnum
Rok vydání: 2008
Předmět:
Zdroj: Journal of the American College of Surgeons. 207:393-397
ISSN: 1072-7515
Popis: Background To develop a standardized protocol for management of postoperative fever in gynecology patients to decrease unnecessary diagnostic workups and empiric use of antibiotics. Study Design A prospective analysis of postoperative gynecology patients identified those who experienced fever (maximum temperature [T max ] > 100.4°F). Patients were triaged into low- and high-risk groups. High-risk patients were managed independent of the protocol. High-risk criteria included bowel operation, preoperative infection, immunodeficiency, indwelling vascular access, mechanical heart valves, and intensive care unit admissions. Low-risk patients were treated with observation and antipyretics. Patients with persistent or high fever, defined as T max > 101°F for > 48 hours, were evaluated and treated based on physical examination findings. Results We evaluated 292 postoperative patients. Forty-seven percent of patients had a final diagnosis of malignancy. Sixty-four patients were high-risk and 33% of these patients experienced fever. Using the standardized protocol, 228 low-risk patients were managed. Thirty-seven of the 228 patients (16%) had fever postoperatively. Nineteen patients had low-grade fever (100.4 to 101°F); none of these patients required antibiotics. Seventeen patients had fever (101.1 to 102°F) and one patient had fever > 102°F. Using the protocol, 6 of 37 patients (16%) were treated with antibiotics for an infectious diagnosis. Conclusions Although postoperative fever is common in gynecologic patients, the incidence of infection is low (3%). A standardized postoperative fever protocol in low-risk gynecology patients decreases use of empiric antibiotics without compromising morbidity.
Databáze: OpenAIRE