1.Factors associated with HPV persistence after conization in patients with negative margins.
Kyehyun NAM ; Sooho CHUNG ; Jeongsig KIM ; Seob JEON ; Donghan BAE
Journal of Gynecologic Oncology 2009;20(2):91-95
OBJECTIVE: The clearance rate of human papillomavirus (HPV) after conization is generally high, although some HPV infections persist. We investigated the factors that affect the clearance of HPV after conization in patients with negative margins. METHODS: We retrospectively analyzed 77 patients (mean age 39.9 years, range 25 to 51 years) with CIN 2/3 who underwent loop electrosurgical excision procedure (LEEP) conization with negative margins. All patients had a Pap smear and high-risk (HR) HPV testing using Hybrid Capture II system and HPV DNA chip before conization. We used> or =1 relative light units (RLUs) as the cutoff for persistence of HPV after conization. RESULTS: High-risk HPV was detected in 73 of 77 (94.8%) patients before conization. At the 6-months follow-up, the high-risk HPV was eliminated in 60 of 73 (82.2%) patients. The HPV persistence rate after conization was 17.8% (13/73). Univariate analysis showed that persistent HPV infection after conization with negative margins was more likely to occur when the pretreatment viral load was high (RLU/positive control >100 (p=0.027) and the HPV was type 16 (p=0.021). Logistic regression analysis showed that preoperative HPV type 16 infection was the only significant independent factor (p=0.021) for HPV persistence out of age, cytology, punch biopsy histology, HPV viral load, and conization histology. CONCLUSION: Conization effectively removes HR-HPV infection. HPV type 16 infection before conization was significantly related to HR-HPV persistence after conization with negative margins. Therefore, patients with HPV 16 infection before conization need to be followed closely.
Biopsy
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Chimera
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Conization
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Follow-Up Studies
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Human papillomavirus 16
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Humans
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Light
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Logistic Models
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Oligonucleotide Array Sequence Analysis
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Retrospective Studies
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Viral Load
2.Absence of dysplasia in the excised cervix by a loop electrosurgical excision procedure in the treatment of cervical intraepithelial neoplasia.
Aeli RYU ; Kyehyun NAM ; Sooho CHUNG ; Jeongsik KIM ; Haehyeog LEE ; Eunsuk KOH ; Donghan BAE
Journal of Gynecologic Oncology 2010;21(2):87-92
OBJECTIVE: Absence of dysplasia in the excised specimen following loop electrosurgical excision procedure (LEEP) for treatment of cervical intraepithelial neoplasia (CIN) 2/3 is an occasional finding of uncertain clinical significance. We evaluated several factors including age, liquid-based Pap (LBP) test, human papillomavirus (HPV) load before treatment, and HPV typing as predictors for absence of dysplasia. Absence of dysplasia in LEEP specimens was analyzed in terms of factors for recurrent disease after LEEP conization METHODS: In total, 192 women (mean age, 39.3+/-8.4 years; range, 24 to 70 years) with biopsy-proven CIN 2/3 were treated by LEEP conization. Age, LBP test, histological grade, HPV load, and HPV DNA typing were evaluated as possible predictors of the absence of residual dysplasia or recurrent disease. RESULTS: Of the LEEP specimens, 34 (17.7%) showed no dysplasia in preoperative biopsies from patients with proven CIN 2/3. Low HPV load (<100 relative light units [RLU]) was significantly related to the absence of dysplasia in LEEP specimens, using logistic regression. Margin involvement and high HPV load (> or =400 RLU) were significant factors for recurrence. CONCLUSION: Absence of dysplasia in LEEP specimens occurred in 17.7% of our specimens. Prediction of the absence of dysplasia in LEEP specimens was associated with low HPV load. Residual/recurrent disease after LEEP was associated with a positive resection margin and high viral load, and was not associated with absence of dysplasia in LEEP specimens. Even if there is no dysplasia in conization specimens, close follow-up for residual/recurrent disease is needed.
Biopsy
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Cervical Intraepithelial Neoplasia
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Cervix Uteri
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Conization
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DNA Fingerprinting
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Female
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Follow-Up Studies
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Humans
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Light
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Logistic Models
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Recurrence
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Viral Load
3.A comparison of systolic and diastolic time variation with pulse pressure variation as a predictor of fluid responsiveness during pediatric liver transplantation.
Young Jin MOON ; Hwa Mi LEE ; Jung Won KIM ; Hyung Joo CHUNG ; Sooho LEE ; In Young HUH ; Gyu Sam HWANG
Anesthesia and Pain Medicine 2015;10(3):208-213
BACKGROUND: In pediatric patients, dynamic preload indices to predict fluid responsiveness remain controversial. Because each beat of blood pressure (BP) - waveform - contains evidence of a systolic and diastolic time interval (STI, DTI), we compared pulse pressure variation (PPV) with respiratory STI and DTI variation (STV, DTV) as predictors of fluid responsiveness during pediatric liver transplantation. METHODS: A total of 61 datasets from 16 pediatric liver transplant patients (age range one month to seven years), before and after an inferior vena cava clamp was applied, were retrospectively evaluated from electronically archived BP and central venous pressure (CVP) waveforms. STI and DTI were separated by a beat-to-beat blood pressure waveform. STV, DTV and PPV were calculated by averaging three consecutive respiratory cycles. Averaged CVP was used as a static preload index. A PPV threshold of > or =16%, a known cutoff value in pediatric surgery, was used to discriminate fluid responsiveness in the receiver operating characteristic (ROC) curve analysis. RESULTS: PPV showed correlations with STV and DTV (r = 0.65 and 0.57, P < 0.001, respectively), but not with CVP (r = -0.30, P = 0.079). The area under the ROC curves (AUC) of STV, DTV and CVP were 0.834, 0.872, and 0.613, respectively. Cut-off values of STV and DTV were 7.7% (sensitivity/specificity, 0.80/0.83) and 7.7% (sensitivity/specificity, 0.70/0.88), respectively. CONCLUSIONS: This study demonstrates that STV and DTV from a BP waveform showed the potential to predict fluid responsiveness as a surrogate of PPV during pediatric surgery.
Blood Pressure*
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Central Venous Pressure
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Child
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Dataset
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Humans
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Liver
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Liver Transplantation*
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Retrospective Studies
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ROC Curve
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Systole
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Vena Cava, Inferior