The development of surgical site infection (SSI) remains the most common complication of gynecologic surgical procedures and results in significant patient morbidity. Gynecologic procedures pose a unique challenge in that potential pathogenic microorganisms from the skin or vagina and endocervix may migrate to operative sites and can result in vaginal cuff cellulitis, pelvic cellulitis, and pelvic abscesses. Multiple host and surgical risk factors have been identified as risks that increase infectious sequelae after pelvic surgery. This paper will review these risk factors as many are modifiable and care should be taken to address such factors in order to decrease the chance of infection. We will also review the definitions, microbiology, pathogenesis, diagnosis, and management of pelvic SSIs after gynecologic surgery.
Several patient and surgical variables are associated with increased rate of SSI after CD. Identification of risk factors for SSI after CD is important for targeted implementation of quality improvement measures and infection control interventions.
Women with the FMR1 premutation appear to have a high incidence of depression and increased symptoms of anxiety. Screening tools like the Brief CDS and the MAQ may be useful to identify these women in the clinic setting. Positive identification could lead to increased mental health care and treatment.
Porokeratotic eccrine ostial and dermal duct nevus is a rare hamartomatous malformation, histologically characterized by cornoid lamellae overlying dilated eccrine ostia. The nevus most commonly presents in the form of multiple filiform keratotic spines in a linear arrangement, usually on the distal extremities. Porokeratotic eccrine and hair follicle nevus is thought to be a variant of porokeratotic eccrine ostial and dermal duct nevus that additionally involves hair follicle infundibula. We report a case of widespread Porokeratotic eccrine and hair follicle nevus that developed in a 15-year-old woman with keratitis-ichthyosis-deafness syndrome.
Surgery is the primary treatment for vulvar cancer as well as early-stage carcinoma of the cervix. This article reviews the significance of margin status after surgery on overall survival, need for further surgical intervention, and role for possible adjuvant therapy. It summarizes the abundant literature on margin status in vulvar cancer and highlights the need for further investigation on the prognostic significance of margins in cervical cancer. In addition, it reviews other important operative considerations.
Background:Surgical site infection (SSI) is a common complication of hysterectomy. Minimally invasive hysterectomy has lower infection rates than abdominal hysterectomy. The lower SSI rates reflect the role and benefit in infection control of having minimal incisions, rather than a large anterior abdominal wall incision. Despite the lower rates, SSI after laparoscopic hysterectomy is not uncommon. In this article, we review pre-, intra-, and postoperative risk factors for infection. Rates of postoperative fever after laparoscopic hysterectomy and when evaluation for infection is warranted in a febrile patient are also reviewed.Database:PubMed was searched for English-only articles using National Library of Medicine Medical Subject Headings (MESH) terms and keywords including but not limited to “postoperative,” “surgical site,” “infection,” “fever,” “laparoscopic,” “laparoscopy,” and “hysterectomy.”Conclusions:Reducing hospital-acquired infections such as SSI is one of the more effective ways of improving patient safety. Knowledge and understanding of risk factors for infection following laparoscopic hysterectomy enable the gynecologic surgeon or hospital to implement targeted preventive measures.
Purpose: The purpose of this study is to build and validate a statistical model to predict infection after caesarean delivery (CD). Methods: Patient and surgical variables within 30 d of CD were collected on 2419 women. Postpartum infection included surgical site infection, urinary tract infection, endomyometritis and pneumonia. The data were split into model development and internal validation (1 January-31 August; N ¼ 1641) and temporal validation subsets (1 September-31 December; N ¼ 778). Logistic regression models were fit to the data with concordance index and calibration curves used to assess accuracy. Internal validation was performed with bootstrapping correcting for bias. Results: Postoperative infection occurred in 8% (95% CI 7.3-9.9), with 5% meeting CDC criteria for surgical site infections (SSI) (95% CI 4.1-5.8). Eight variables were predictive for infection: increasing BMI, higher number of prior Caesarean deliveries, emergent Caesarean delivery, Caesarean for failure to progress, skin closure using stainless steel staples, chorioamnionitis, maternal asthma and lower gestational age. The model discriminated between women with and without infection on internal validation (concordance index ¼ 0.71 95% CI 0.67-0.76) and temporal validation (concordance index ¼ 0.70, 95% CI 0.62, 0.78). Conclusions: Our model accurately predicts risk of infection after CD. Identification of patients at risk for postoperative infection allows for individualized patient care and counseling.ARTICLE HISTORY
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