Objective: To identify the incidence and clinical course of septic shock combined with neutropenia during chemotherapy in gynecological cancer patients. Methods: We retrospectively reviewed the medical records of all gynecological cancer patients who received intravenous chemotherapy between March 2009 and March 2018.Patients diagnosed with neutropenic septic shock (NSS) during the course of chemotherapy were identified. We calculated the overall incidence and mortality rate of NSS, and analyzed risk factors and clinical course. Results: A total of 1,009 patients received 10,239 cycles of chemotherapy during the study period. Among these, 30 (3.0%) patients had 32 NSS events, of which 12 (1.2%) died. With respect to patient age during the first course of chemotherapy, the incidence of NSS after the age of 50 was significantly higher than that in patients under 50 (3.9% vs. 1.4%, p=0.034).As the number of chemotherapy courses increased, the incidence of NSS increased, and linear-by-linear association analysis showed a positive correlation (p=0.004). NSS events occurred on average 7.8 days after the last cycle of chemotherapy, and the median duration of vasopressor administration was 23.3 hours. The median age (64.0 vs. 56.5, p=0.017) and peak heart rate (149.5 min −1 vs. 123.5 min −1 , p=0.015) were significantly higher in the group of patients who subsequently died of NSS than in those who survived. Conclusion The overall incidence of NSS in gynecological cancer patients receiving chemotherapy was 3.0%, which is higher than previously estimated. Peak heart rate during NSS events may be an indicator for predicting survival.

OBJECTIVE: This study aimed to determine the factors affecting pathologic discrepancy and final diagnosis between colposcopic biopsy and pathology by loop electrosurgical excision procedure (LEEP). METHODS: Between 2004 and 2016, 1,200 patients who underwent LEEP were enrolled for this study. 667 underwent cervical cytology, human papillomavirus (HPV) test, colposcopic biopsy, and LEEP. We analyzed patient's age, menopausal status, number of delivery, abortion times, cervical cytology, number of punch biopsies, HPV type, LEEP, and interval between colposcopic biopsy and LEEP. RESULTS: Logistic regression analysis of the final diagnosis showed that age 30–39 years and other high HPV group types were associated with cancer diagnosis, whereas atypical squamous cells cannot exclude high-grade squamous intraepithelial lesion (ASC-H), high-grade squamous intraepithelial lesion (HSIL), and HPV type 16 affected the diagnosis of cervical intraepithelial neoplasia (CIN) 2. The overall concordance rate of histopathology between punch biopsy and LEEP was 43.3%. The rates of detecting a more severe lesion by LEEP than those by biopsy were 23.1%. The rates of a less severe lesion detected by LEEP than those by biopsy were 33.6%. Factors related with biopsy underestimation were as follows: < 1 vaginal delivery, HSIL, number of punch biopsies and HPV type. Punch biopsy number is a unique factor of biopsy overestimation. CONCLUSION: Patients with ASC-H, HSIL, and HPV type 16 may undergo conization immediately without colposcopic biopsy. We suggest that colposcopically directed 3 to 5 punch biopsies may be used to determine the need for conization.
Atypical Squamous Cells of the Cervix ; Biopsy* ; Cervical Intraepithelial Neoplasia ; Cervix Uteri* ; Conization* ; Diagnosis ; Female ; Humans ; Logistic Models ; Papanicolaou Test ; Pathology ; Squamous Intraepithelial Lesions of the Cervix

Objective: Familial cancer appears at a young age and its incidence is increasing. About 12% of familial ovarian cancer cases are associated with BRCA1/2 mutations (BRCAm). In this study, we investigated BRCA1 methylation may predict ovarian cancer in those with a family history of cancer (FHC) but without BRCA1/2 mutations (BRCAwt). Methods: Using peripheral blood DNA from 55 subjects without a history of cancer [cancer(−)] and 52 ovarian cancer patients, we examined BRCA1 promoter methylation through bisulfite sequencing of the promoter and expressed the results as the cumulative methylation index. Then, we evaluated the BRCA1 promoter methylation according to BRCA1/2 germline mutations. Results: BRCA1 methylation was more prevalent in the BRCAm cancer(−) group than in the BRCAwt cancer(−) group and ovarian cancer patients (p=0.031 and p=0.019, respectively). In the BRCAwt cancer(−) group, BRCA1 methylation was more prevalent in those with an FHC than in those without one and in the BRCAm cancer(−) group with an FHC (p=0.001 and p<0.001, respectively). Conclusion Our data suggest a predictive role of BRCA1 methylation profile for ovarian cancer in those without a history of cancer but with an FHC. BRCA1 methylation has important implications for diagnostic and predictive testing of those with BRCAwt cancer(−) status with FHC.