Evaluation of Risk Factors for Infectious Morbidity in Postoperative Gynecologic Oncology Patients: A Time for a New Paradigm?

Caroline C. Billingsley , Jonathan R. Foote , Jeffrey E. Korte , Elizabeth A. Gagliardi , Matthew F. Kohler , William T. Creasman
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Abstract

This study aimed to determine the postoperative fever index in the gynecologic oncology patient associated with significant infectious morbidity. A retrospective analysis was performed of 355 patients who underwent abdominal surgery. Charts were reviewed to evaluate postoperative temperature and risk factors for infectious morbidity. Statistical analyses were performed as indicated by the data type, including the Student t test, Mann-Whitney U test, χ2 test, and 1-way analysis of variance. A value of P < .05 was considered significant. There were 210 patients with temperatures < 100.5°F (group 1), 69 with a temperature ≥ 100.5°F to < 101°F (group 2), and 76 with a temperature ≥ 101°F (group 3). Demographic data were similar among groups. There were 285 diagnostic tests performed, with 51 test results indicative of infectious morbidity. Patients in group 3 underwent more testing and had more positive test results compared with groups 1 and 2. The majority of diagnostic testing and positive test results (60%) were in patients from group 3. Groups 1 and 2 were statistically similar in the number of positive test results and antibiotic duration, demonstrating a lower risk of infectious morbidity compared with group 3. This study suggests that a postoperative temperature of ≥ 101°F appears to be a better predictor of significant infectious morbidity compared with the prior definition of a temperature ≥ 100.5°F. Furthermore, this illustrates the need for the development of a postoperative temperature evaluation protocol to avoid expensive evaluations and empiric treatment of benign causes of postoperative fever.

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妇科肿瘤术后患者感染性发病的危险因素评估:一个新范式的时代?
本研究旨在确定与显著感染性发病率相关的妇科肿瘤患者术后发热指数。回顾性分析了355例接受腹部手术的患者。回顾图表以评估术后温度和感染发病率的危险因素。根据数据类型进行统计分析,包括Student t检验、Mann-Whitney U检验、χ2检验和单因素方差分析。P <的值;0.05被认为是显著的。有210名患者体温升高。100.5°F(组1),69与温度≥100.5°F至<101°F(2组),76例≥101°F(3组)。组间人口统计学数据相似。进行了285项诊断测试,其中51项测试结果表明感染性发病率。与1组和2组相比,3组患者的检测次数更多,阳性结果也更多。大多数诊断检测和阳性检测结果(60%)发生在第3组患者。1组和2组在阳性检测结果数量和抗生素持续时间方面具有统计学意义相似,表明与3组相比,感染发病率的风险较低。这项研究表明,与先前定义的温度≥100.5°F相比,术后温度≥101°F似乎是显著感染性发病率的更好预测指标。此外,这说明需要制定术后体温评估方案,以避免昂贵的评估和术后发热良性原因的经验性治疗。
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