• Clinical and Experimental Reproductive Medicine
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• 제38권4호
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• pp.222-227
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• 2011

Objective: To evaluate the ability of serum anti-M$\ddot{u}$llerian hormone (AMH), FSH, and age to clinically predict ovarian response to controlled ovarian hyperstimulation (COH) in IVF patients with endometriosis. Methods: We evaluated 91 COH cycles, including 43 cycles with endometriosis (group I) and 48 cycles with male factor infertility (group II) from January to December, 2010. Patients were classified into study groups based on their surgical history of endometriosis-group Ia (without surgical history, n=16), group Ib (with a surgical history, n=27). Results: The mean age was not significantly different between group I and group II. However, AMH and FSH were significantly different between group I and group II ($1.9{\pm}1.9$ ng/mL vs. $4.1{\pm}2.9$ ng/mL, $p$ <0.01; $13.1{\pm}7.2$ mIU/mL vs. $8.6{\pm}3.3$ mIU/mL, $p$ <0.01). Furthermore, the number of retrieved oocytes and the number of matured oocytes were significantly lower in group I than in group II. In group II, AMH and FSH as well as age were significant predictors of retrieved oocytes on univariate analysis. Only the serum AMH level was a significant predictor of poor ovarian response in women with endometriosis. Conclusion: Serum AMH may be a better predictor of the ovarian response of COH in patients with endometriosis than basal FSH or age. AMH level can be considered a useful clinical predictor of poor ovarian response in endometriosis patients.

• Clinical and Experimental Reproductive Medicine
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• 제38권3호
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• pp.153-158
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• 2011

Objective: The aim of this study was to investigate whether anti-M$\ddot{u}$llerian hormone (AMH) levels could be predict ovarian poor/hyper response and IVF cycle outcome. Methods: Between May 2010 and January 2011, serum AMH levels were evaluated with retrospective analysis. Three hundred seventy infertile women undergoing 461 IVF cycles between the ages of 20 and 42 were studied. We defined the poor response as the number of oocytes retrieved was equal or less than 3, and the hyper response as more than 25 oocytes retrieved. Serum AMH was measured by commercial enzymelinked immunoassay. Results: The number of oocytes retrieved was more correlated with the serum AMH level (r=0.781, $p$ <0.01) than serum FSH (r=-0.412, $p$ <0.01). The cut-off value of serum AMH levels for poor response was 1.05 ng/mL (receiver operating characteristic [ROC] curves/area under the curve [AUC], $ROC_{AUC}$=0.85, sensitivity 74%, specificity 87%). Hyper response cut-off value was 3.55 ng/mL $ROC_{AUC}$=0.91, sensitivity 94%, specificity 81%). When the study group was divided according to the serum AMH levels (low: <1.05 ng/mL, middle: 1.05 ng/mL - 3.55 ng/mL, high: >3.55 ng/mL), the groups showed no statistical differences in mature oocyte rates (71.6% vs. 76.5% vs. 74.8%) or fertilization rates (76.9% vs. 76.6% vs. 73.8%), but showed significant differences in clinical pregnancy rates (21.7% vs. 24.1% vs. 40.8%, $p$=0.017). Conclusion: The serum AMH level can be used to predict the number of oocytes retrieved in patients, distinguishing poor and high responders.

• Journal of Genetic Medicine
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• 제9권2호
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• pp.78-83
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• 2012

Purpose: The aim of this nested case-control study was to investigate the association between hepatocyte growth factor (HGF) concentrations in maternal plasma and the risk of developing preeclampsia. Materials and Methods: Plasma HGF concentration were measured in 52 women who subsequently developed preeclampsia and 104 normal pregnant women at the time of genetic amniocentesis (15-20 weeks) by enzyme-linked immunosorbent assay. Results: Maternal plasma HGF concentrations were significantly higher in women with subsequent preeclampsia (median: 737.8 ng/mL vs. 670.4 ng/mL, P=0.003) than in normal controls. However, HGF concentrations were not significantly different between subgroups by preeclamptic complications. After adjusting for potential confounding factors, women with HGF concentrations ${\geq}702.5ng/mL$ had a 3.2-fold increased risk (95% CI 2.7-5.4, P<0.001) of subsequent development of preeclampsia compared with women with HGF concentrations <702.5 ng/mL. Conclusion: Elevated maternal plasma HGF concentrations in the early second-trimester are associated with an increased risk of developing preeclampsia.

• 대한생식의학회:학술대회논문집
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• 대한불임학회 2001년도 제41차 추계학술대회
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• pp.84-84
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• 2001

• 대한생식의학회:학술대회논문집
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• 대한불임학회 2002년도 제43차 추계학술대회
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• pp.72-72
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• 2002

• 대한생식의학회:학술대회논문집
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• 대한불임학회 2001년도 제40차 춘계학술대회
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• pp.62-63
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• 2001

• 한국치위생학회지
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• 제3권2호
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• pp.169-182
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• 2003

The present study attempts to investigate the knowledge, belief, attitude and behavior of healthcare major students and non-healthcare counterparts concerning their oral hygiene. The purpose is to provide basic data for positive oral health activities to the students with non-healthcare major, who tend to have insufficient information on oral hygiene. A survey was conducted to 400 students in K college in Incheon from May 1-30, 2003. A total of 384 surveys were analyzed using the SPSS program Version 10.0. The result is as follows: 1. There was a statistically significant difference in the knowledge on oral hygiene between the healthcare(M=3.08) and non-healthcare(M=2.78) students(pE0.05). 2. As for the beliefs and attitudes toward oral health behaviors, 56.9% of the healthcare students and 60.6% of non-health care counterparts responded "moderate" to the question asking if they liked tooth-brushing. The reason they liked tooth-brushing were cleanliness(60.3% of healthcare and 71.9% of non-healthcare students). They didn't like brushing their teeth because they felt it was a nuisance(60.6% of healthcare and 54.5% of non-healthcare students). 90.6% of healthcare students and 90.1% of their non-healthcare counterparts said they wanted to keep their oral health intact. Most of the subjects seemed to acquire information on oral hygiene through mass media(62.2% of healthcare and 55.3% of non-healthcare students). The persons who give them oral health information are their friends or neighbors(26.8% of healthcare and 22.8% of non-healthcare students), and dental hygienists were the last in the list of the sources of information(3.4% of healthcare and 2.5% of non-healthcare students). 3. Their oral health behaviors were also considered, 64.4% of the healthcare students and 53.7% of the non-healthcare counterparts brush their teeth once or twice a day, 51.4% of the former brush their teeth for 2 minutes and 44.8% of the latter for 3 minutes. Some of them use oral health measures other than tooth-brushing(13.3% of healthcare and 14.3% of non-healthcare students). Not many of them used oral health products(6.6% of healthcare and 5.9% of non-healthcare), and the difference was statistically significant(pE0.05). The largest number of healthcare students brush their teeth right before going to bed(29.9%), while their counterparts do it after breakfast(25.8%)

• 한국융합학회논문지
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• 제6권4호
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• pp.243-248
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• 2015

U-Healthcare는 언제, 어디서나 환자의 건강을 검사하고 관리하며 유지할 수 있도록 하는 의료와 IT가 융합된 서비스이다. U-Healthcare 서비스에서 이루어지는 통신은 검진한 분석 결과나 긴급 데이터를 무선 통신방식을 이용하여 병원 서버에 전송하는 방식이 활용되고 있다. 이 때 악의적인 접근을 수행하는 자(공격자)가 U-Healthcare기기나 BS(Base Station)에 DRDoS(Distributed Reflection DoS)공격을 하면 위급한 환자의 상황 정보가 병원 서버까지 전송되지 않는 다양한 피해가 예상된다. 이를 대응하기 위해 DRDoS 공격 시나리오와 DRDoS에 대한 대응방안을 제안하고 대량의 패킷을 처리할 수 있는 빅데이터와 융합한다. 공격자가 U-Healthcare 기기나 BS(Base Station)를 공격 시 DB와 연동하여 일치하면 공격을 막는다. 본 논문은 원격의료 서비스인 U-Healthcare기기나 BS에서 나타날 수 있는 공격방법을 분석하고, 빅데이터를 활용하여 보안 위협에서의 대응방안을 제안한다.

• International Journal of Computer Science & Network Security
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• 제21권4호
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• pp.313-324
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• 2021

This study empirically investigates the factors influencing the intention to accept mobile technology in Saudi healthcare service delivery using the extended unified theory of acceptance and use of technology model (UTAUT) with perceived reliability and price value. Accordingly, a conceptual model combining behavioral constructs with those linked to the technology acceptance model is developed. This model aims to identify factors that predict patients' acceptance of mobile technology healthcare service delivery. The developed model is examined using responses obtained from a survey on 545 participants receiving healthcare services in Saudi Arabia. Thus, we have conceptualized the developed model and validated seven hypotheses involving key constructs. Results suggest that performance expectancy, effort expectancy, social influence, facilitating conditions, price value, and perceived reliability are direct predictors of user behavior to accept mobile technology in healthcare service delivery. The results provide empirical evidence to the literature on the effect of facilitating conditions and effort expectancy on mobile health (mHealth) adoption. The results show that the COVID-19 pandemic has significantly increased the adoption of mHealth services in Saudi Arabia.

• Clinical and Experimental Reproductive Medicine
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• 제40권3호
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• pp.135-140
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• 2013

Objective: To evaluate correlations between serum anti-M${\ddot{u}}$llerian hormone (AMH) levels, phenotypes of polycystic ovary syndrome (PCOS), obesity, and metabolic parameters in patients with PCOS. Methods: A total of 175 patients with PCOS were diagnosed according to the Rotterdam Consensus were included. Exclusion criteria were age over 40, FSH>25 mIU/mL, and 17a-OHP>1.5 ng/mL. The Phenotypes of PCOS were divided into a severe form (oligo-anovulation, ANOV/hyperandrogenism/polycystic ovary morphology [PCOM]; n=59) and a mild form without HA (ANOV/PCOM, n=105). The serum AMH levels were classified into 3 groups (<5 vs. 5-10 vs. >10 ng/mL). Obesity was defined as body mass index (BMI) ${\geq}25kg/m^2$ (n=34). Results: The mean age was $25.9{\pm}5.7$ year and mean AMH level was $10.1{\pm}5.4$ ng/mL. The BMI ($kg/m^2$) was higher in group 1 ($24.2{\pm}6.3$) than in group 2 ($21.9{\pm}4.3$, p=0.046) or group 3 ($21.6{\pm}3.3$, p=0.019). There was no difference among the three groups in age, menstrual interval, antral follicle counts, androgens, or other metabolic parameters. The obesity group showed significantly lower AMH ($7.7{\pm}3.9$ ng/mL vs. $10.7{\pm}5.6$ ng/mL), p=0.004) and low-density lipoprotein levels ($93.1{\pm}21.2$ mg/dL vs. $107.5{\pm}39.3$ mg/dL, p=0.031), and showed higher total T ($0.74{\pm}0.59$ L vs. $0.47{\pm}0.36$ ng/mL, p=0.001), free T ($2.01{\pm}1.9$ vs. $1.04{\pm}0.8$ pg/mL, p=0.0001), and free androgen index ($6.2{\pm}7.9$ vs. $3.5{\pm}3.0$, p=0.003). After controlling for age factors and BMI, the serum AMH levles did not show any significant correlations with other hormonal or metabolic parmeters. Conclusion: For PCOS patients under the age 40, serum AMH is not negatively correlated with age. High serum AMH levels can not predict the phenotype of PCOS and metabolic disturbances in PCOS patients in the non-obese group. Further study might be needed to define the relation more clearly.