7 research outputs found
In vitro fertilization outcome in women with diminished ovarian reserve
OBJECTIVE: This study aimed to identify factors that affect in vitro fertilization (IVF) outcomes in women with diminished ovarian reserve (DOR).
METHODS: We reviewed 99 IVF cycles in 52 women with DOR between September 2010 and January 2015. DOR was defined as serum anti-Mรผllerian hormone level of <1.1 ng/dL or serum follicle-stimulating hormone level of โฅ20 mIU/mL. Total 96 cycles in 50 patients were evaluated after excluding fertility preservation cases.
RESULTS: The clinical pregnancy rate was 11.5% per cycle, and the total cancellation rate was 34.4%. Clinical pregnancy rate was significantly associated with the antral follicle count and the cause of the DOR. Age, serum anti-Mรผllerian hormone and follicle-stimulating hormone levels, antral follicle count, peak estradiol level, and the cause of DOR were significantly associated with cycle cancellation. However, history of previous ovarian surgery remained as a significant factor of clinical pregnancy (model 1: odds ratio [OR] 10.17, 95% confidence interval [CI] 1.46 to 70.84, P=0.019; model 2: OR 10.85, 95% CI 1.05 to 111.71, P=0.045). In cancellation models, idiopathic or previous chemotherapy group showed borderline significance (model 1: OR 3.76, 95% CI 0.83 to 17.04, P=0.086; model 2: OR 3.15, 95% CI 0.84 to 11.84, P=0.09).
CONCLUSION: DOR caused by previous ovarian surgery may show better pregnancy outcome, whereas that caused by chemotherapy could significantly increase the cycle cancellation rate. Furthermore, patients with DOR who previously received gonadotoxic agents may show reduced efficacy and increased risk of IVF cycle cancellation.ope
๋น๋ง ์ฒญ์๋ ์์ ์ธ์๋ฆฐ์์ฑ์ฅ์ธ์ ๊ฒฐํฉ๋จ๋ฐฑ-3 ์ ๋จ๋ฐฑ๋ถํด์ ์ธ์๋ฆฐ์ ํญ์ฑ๊ณผ์ ์ฐ๊ด์ฑ
Dept. of Medicine/์์ฌPurpose: The prevalence of adolescent obesity is increasing, thereby causing an increase of metabolic syndrome in adolescents. Recently, the metabolic roles of insulin-like growth factor binding protein-3 (IGFBP-3) in human adipocytes and animals have been revealed. This study was performed to investigate the role of IGFBP-3 proteolysis in insulin resistance in obese adolescents. Methods: A total of 197 adolescents aged 12 to 13years were included in this study. They were classified into the obesity group (n=56, M:F=25:31), the overweight group (n=41, M:F=19:22), and the control group (n=100, M:F=49:51) according to body mass index (BMI) for age and gender. Measurements for anthropometric profiles (height, weight, and waist circumference) and blood pressure (BP) were taken. Lipid profiles, and levels of aspartate aminotransferase (AST), alanine aminotransferase (ALT), high sensitivity C-reactive protein, fasting glucose and fasting insulin were measured. Homeostatic model assessment-insulin resistance (HOMA-IR) was calculated. IGFBP-3 proteolytic fragments were obtained by Western immunoblot assay. Results: Weight, height, waist circumference, BMI, systolic BP, and diastolic BP were higher in the overweight and obesity groups than in the control group (P < 0.01). The levels of triglycerides, low-density lipoprotein cholesterol, ALT, fasting glucose, and fasting insulin were increased in the overweight and obesity groups compared to the control group (P < 0.01), while the level of high-density lipoprotein cholesterol was decreased in the obesity group compared to the overweight and control groups (P < 0.01). HOMA-IR was significantly increased in the overweight and obesity groups compared to the control group (control vs. overweight, 1.5ยฑ0.8 vs. 2.9ยฑ3.2, P < 0.001; control vs. obesity, 1.5ยฑ0.8 vs. 3.6ยฑ2.2, P < 0.001). The optical densities of the IGFBP-3 proteolytic fragments were significantly increased in the overweight and obesity groups compared to controls (control vs. overweight, 2.09 ยฑ 1.32 (100%) vs. 3.83 ยฑ 0.37 (183%), P < 0.001; control vs. obesity, 2.09 ยฑ 1.32 (100%) vs. 3.85 ยฑ 0.63 (184%), P < 0.001). The degree of IGFBP-3 proteolysis was correlated with weight (r = 0.599, P < 0.001), height (r = 0.241, P < 0.001), ALT (r = 0.220, P < 0.05), fasting glucose (r = 0.295, P = 0.001), fasting insulin (r = 0.307, P = 0.001), BMI (r = 0.651, P < 0.001), waist circumference (r = 0.608, P= 0.001), and HOMA-IR (r = 0.313, P <0.001). Conclusion: The degree of IGFBP-3 proteolysis was increased in overweight and obese subjects and positively correlated with parameters associated with insulin resistance. These results suggest that the proteolysis of IGFBP-3 may be involved in the pathogenesis of insulin resistance and IGFBP-3 fragments could be considered as surrogate markers of insulin resistance in obesity.
[ํ๊ธ]
๋ชฉ์ : ์ ์ธ๊ณ์ ์ผ๋ก ์์์ฒญ์๋
์ ๋น๋ง์ด ์ฆ๊ฐํ๊ณ ์์ผ๋ฉฐ, ์ด๋ก ์ธํด
์ฒญ์๋
๋ค์ ๋์ฌ์ฆํ๊ตฐ์ ๋ํ ์ ๋ณ๋ฅ ์ฆ๊ฐ๊ฐ ์ด๋๋์ด ์ฌํ๊ฒฝ์ ์ ๋ฌธ์ ๋ฅผ
์ผ๊ธฐํ๋ค. ์ต๊ทผ์ ๋น๋ง์ธํฌ์ ๋๋ฌผ๋ชจ๋ธ์์ ์ธ์๋ฆฐ์์ฑ์์ธ์ ๊ฒฐํฉ๋จ๋ฐฑ-3
์ ๋์ฌ์ ๊ด๋ จ๋ ์ญํ ์ด ๋ฐํ์ง๊ณ ์์ผ๋ ์์๊ณผ ๊ด๋ จ๋ ์ฐ๊ตฌ๋ ์ถฉ๋ถํ์ง
์์ ์ค์ ์ด๋ค. ๋ณธ ์ฐ๊ตฌ๋ ๋น๋งํ ์ฒญ์๋
์์ ์ธ์๋ฆฐ์์ฑ์ฅ์ธ์
๊ฒฐํฉ๋จ๋ฐฑ-3 ๋จ๋ฐฑ๋ถ์ ์ด ์ธ์๋ฆฐ์ ํญ์ฑ๊ณผ ๊ด๋ จ์ฑ์ด ์๋์ง๋ฅผ ์์๋ณด๊ณ ์
ํ์๋ค.
๋์ ๋ฐ ๋ฐฉ๋ฒ: ๊ฑด๊ฐ๊ฒ์ง์ ์ํด ๋ณ์์ ๋ฐฉ๋ฌธํ 12-13 ์ธ ์ฒญ์๋
197 ๋ช
์
๋์์ผ๋ก ์ฑ๋ณ, ์ฐ๋ น๋ณ ์ฒด์ง๋์ง์์ ๋ฐ๋ผ ์ ์๊ตฐ 100 ๋ช
(๋จ์ 49 ๋ช
, ์ฌ์
51 ๋ช
), ๊ณผ์ฒด์ค๊ตฐ 41 ๋ช
(๋จ์ 19 ๋ช
, ์ฌ์ 22 ๋ช
), ๋น๋ง๊ตฐ 56 ๋ช
(๋จ์ 25 ๋ช
, ์ฌ์
31 ๋ช
)์ผ๋ก ๊ตฌ๋ถํ์๋ค. ์ฒด์ค, ํค, ํ๋ฆฌ๋๋ ์ ์ ์ฒด๊ณ์ธก์ ํ๊ณ ํ์์
์ธก์ ํ์๋ค. ํ์ก๊ฒ์ฌ๋ฅผ ํตํด ๊ณต๋ณต์ ํ๋น, ์ธ์๋ฆฐ, hs-CRP, AST, ALT, ํ์ฒญ
์ง์ง๋์ฌ๋ถ์์ ์ํํ๊ณ , ์ ๋ฐ๋์ฝ๋ ์คํ
๋กค์ ์ฐ์ถํ์์ผ๋ฉฐ,
์ธ์๋ฆฐ์ ํญ์ฑ์ ์งํ๋ก HOMA-IR ์ ์ฐ์ถํ์๋ค. ํ์ฒญ์ ์ ๊ธฐ์๋ ํ
Western immunoblot ์ ์ํํ์ฌ ์ธ์๋ฆฐ์์ฑ์ฅ์ธ์ ๊ฒฐํฉ๋จ๋ฐฑ-3 ์ 29-kDa ,
18-kDa ๋ถ์ ์ ์ป์์ผ๋ฉฐ, ์ด์ ๋ํ ํก๊ด๋๋ฅผ ์ธก์ ํ์๋ค.
๊ฒฐ๊ณผ: ์ฒด์ค, ํค, ํ๋ฆฌ๋๋ , ์ฒด์ง๋์ง์, ์์ถ๊ธฐ ํ์, ์ด์๊ธฐ ํ์, ์ค์ฑ์ง๋ฐฉ,
์ ๋ฐ๋์ฝ๋ ์คํ
๋กค, ALT, ๊ณต๋ณตํ๋น, ๊ณต๋ณต ์ธ์๋ฆฐ์ด ์ ์๊ตฐ์ ๋นํด ๊ณผ์ฒด์ค๊ตฐ
๋๋ ๋น๋ง๊ตฐ์์ ์ฆ๊ฐ๋์๋ค(P < 0.01). ๊ณ ๋ฐ๋์ฝ๋ ์คํ
๋กค์ ๋น๋ง๊ตฐ๊ณผ
๊ณผ์ฒด์ค๊ตฐ์์ ๊ฐ์๋์๋ค(P < 0.01). HOMA-IR ์ ์ ์๊ตฐ์ ๋นํด
๊ณผ์ฒด์ค๊ตฐ๊ณผ ๋น๋ง๊ตฐ์์ ์๋ฏธ์๋ ์ฆ๊ฐ๋ฅผ ๋ณด์๋ค. (์ ์๊ตฐ vs. ๊ณผ์ฒด์ค๊ตฐ,
1.5ยฑ0.8 vs. 2.9ยฑ3.2, P < 0.001; ์ ์๊ตฐ vs. ๋น๋ง๊ตฐ, 1.5ยฑ0.8 vs. 3.6 ยฑ 2.2, P < 0.001),
์ธ์๋ฆฐ์์ฑ์ฅ์ธ์ ๊ฒฐํฉ๋จ๋ฐฑ-3 ์ ๋จ๋ฐฑ๋ถ์ ์ ๋๋ ์ ์๊ตฐ์ ๋นํด
๊ณผ์ฒด์ค๊ตฐ๊ณผ ๋น๋ง๊ตฐ์์ ์ฆ๊ฐ๋์๋ค (์ ์๊ตฐ vs. ๊ณผ์ฒด์ค๊ตฐ, 2.09 ยฑ 1.32 vs. 3.83
ยฑ 0.37, P < 0.001; ์ ์๊ตฐ vs. ๋น๋ง๊ตฐ, 2.09 ยฑ 1.32 vs. 3.85 ยฑ 0.63, P < 0.001).
์ธ์๋ฆฐ์์ฑ์ฅ์ธ์ ๊ฒฐํฉ๋จ๋ฐฑ-3 ์ ๋จ๋ฐฑ๋ถ์ ์ ๋๋ ์ฒด์ค (r = 0.599, P < 0.001)
, ํค (r = 0.241, P < 0.001), ALT (r = 0.220, P < 0.05), ๊ณต๋ณตํ๋น (r = 0.295, P =
0.001), ๊ณต๋ณต์ธ์๋ฆฐ (r = 0.307, P = 0.001), ์ฒด์ง๋์ง์ (r = 0.651, P < 0.001),
ํ๋ฆฌ๋๋ (r = 0.608, P = 0.001) ์ ๊ฐ๊ฐ ์์ ์๊ด๊ด๊ณ๋ฅผ ๋ณด์๋ค.
์ธ์๋ฆฐ์์ฑ์ฅ์ธ์ ๊ฒฐํฉ๋จ๋ฐฑ-3 ์ ๋จ๋ฐฑ๋ถ์ ์ ๋๊ฐ ์ฆ๊ฐ ํ ์๋ก
์ธ์๋ฆฐ์ ํญ์ฑ์ ๋ฐ์ํ๋ HOMA-IR ๋ํ ์ฆ๊ฐํ๋ ์์์ ๋ณด์๋ค (r =
0.313, P <0.001).
๊ฒฐ๋ก : ๋ณธ ์ฐ๊ตฌ๋ฅผ ํตํ์ฌ ์ฒญ์๋
, ๋น๋ง๊ตฐ๊ณผ ๊ณผ์ฒด์ค๊ตฐ์์ ํ์ฒญ
์ธ์๋ฆฐ์์ฑ์ฅ์ธ์ ๊ฒฐํฉ๋จ๋ฐฑ-3 ์ ๋จ๋ฐฑ๋ถํด ๋ถ์ ์ด ์ฆ๊ฐ๋์ด ์์์ผ๋ฉฐ, ๋ถ์
์ ๋๊ฐ ์ฆ๊ฐ ํ ์๋ก ์ธ์๋ฆฐ์ ํญ์ฑ์ด ์ฆ๊ฐ๋จ์ ํ์ธํ์๋ค. ์ด๋
์ธ์๋ฆฐ์์ฑ์ฅ์ธ์ ๊ฒฐํฉ๋จ๋ฐฑ-3 ์ ๋ถ์ ์ด ๋น๋ง์ ์ธ์๋ฆฐ์ ํญ์ฑ ๋ฐ๋ณ๊ณผ์ ์
๊ด์ฌํจ์ ์์ฌํ๋ฉฐ, ์ธ์๋ฆฐ์ ํญ์ฑ์ ํ์ง์๋ก ์ด์ฉ๋ ์ ์์ ๊ฒ์ผ๋ก
์๊ฐ๋๋ค.ope
Effects of video discharge education program for mothers of high risk infants on mother-infant attachment
์๋๊ฐํธ์ ๊ณต/์์ฌ๋ณธ ์ฐ๊ตฌ๋ ํด์์ ์ค๋นํ๋ ๊ณ ์ํ์ ์์ ์ด๋จธ๋๋ฅผ ๋์์ผ๋ก ๋ชจ์์ ์ฐฉ๊ด๊ณ ํ์ฑ์ ์ฆ์งํ๋ ํด์ ๋์์ ๊ต์ก ํ๋ก๊ทธ๋จ์ ํด์์ ์ค๋นํ๋ ์์ ์ ์ ๊ณต ํ ํ ๊ณ ์ํ์ ์์ ์ด๋จธ๋์ ๋ชจ์ฑ์ญํ ์์ ๊ฐ๊ณผ ์ ์ฐฉ๊ด๊ณ ํ์ฑ์ ๋ฏธ์น๋ ํจ๊ณผ๋ฅผ ํ์ธํ๊ณ ์ ์๋ํ์๋ค. ๋ณธ ์ฐ๊ตฌ์ ์ฐ๊ตฌ ์ค๊ณ๋ ๋จ์ผ๊ตฐ ์ฌ์ ์ฌํ ์คํ์ค๊ณ(one group pre-post test design)๋ฅผ ์ด์ฉํ์๋ค. ๋ณธ ์ฐ๊ตฌ ๋์์๋ 2012๋
6์ 4์ผ๋ถํฐ 12์ 6์ผ๊น์ง ์์ธ์์ ์์ฌํ K๋ณ์ ์ ์์ ์ง์ค์น๋ฃ์ค ํด์์ ์๋๊ณ ์๋ ์๊ธฐ์ ์ด๋จธ๋๋ก์ ์ฐ๊ตฌ ์งํ ๊ธฐ๊ฐ ๋ด ๊ฐ๋ฅํ ์ ์๋ก ์ด 18๋ช
์ด์๋ค. ํด์ ๊ต์ก์ ํด์ 0~7์ผ ์ ์ ์ค์ํ์์ผ๋ฉฐ ํด์ ๊ต์ก์ ๋ฐ๊ธฐ ์ ์ ์ฌ์ ์กฐ์ฌ๋ฅผ ์ค์ํ์๋ค. ์ค๋ฌธ์ง๋ฅผ ์์ฑํ ํ ๋ผ์ง์(2011)์ด ๊ฐ๋ฐํ ๋ฏธ์์ ์ด๋จธ๋๋ฅผ ์ํ ๋ชจ์์ํธ์์ฉ ์ค์ฌ์ ํด์ ๋์์ ๊ต์ก ํ๋ก๊ทธ๋จ์ ์ ๊ณตํ์๋ค. ์ฌํ ์กฐ์ฌ 1(์ธํฐ๋ทฐ)์ ํด์ ๋์์ ๊ต์ก ์งํ ์ค์ํ์์ผ๋ฉฐ ์ฌํ ์กฐ์ฌ 2๋ ๊ณ ์ํ์ ์์์ ํด์ 7~9์ผ ํ ์ ํ ์๋ด์ ํตํด ๋ ๋ฒ์งธ ์ค๋ฌธ์กฐ์ฌ์ ๋ ๋ฒ์งธ ์ธํฐ๋ทฐ๋ฅผ ์ค์ํ์๋ค. ๋์์ ๊ต์ก ํ๋ก๊ทธ๋จ์ CD๋ก ์ ์ํ์ฌ ํด์ ์ ์ ๊ณตํ์๋ค. ๋ชจ์ฑ์ญํ ์์ ๊ฐ ์ธก์ ๋๊ตฌ๋ Pharis(1978)์ ๋ชจ์ฑ์ญํ ์์ ๊ฐ ์ธก์ ๋๊ตฌ 13๋ฌธํญ์ ํ ๋๋ก ์ฅ์์(2004)์ด ์์ ๋ณด์ํ ๋๊ตฌ๋ฅผ ๋ค์ ์์ ํ์ฌ ์ฌ์ฉํ์๋ค. ์ด๋จธ๋์ ๋ชจ์์ ์ฐฉ ์ธก์ ์ Muller(1994)๊ฐ ๊ณ ์ํ ๋ชจ์ฑ์ ์ฐฉ(Maternal Attachment Inventory)์ ํ ๋๋ก ํ๊ท์(2001)์ด ๋ฒ์ ์์ ๋ณด์ํ ๋๊ตฌ๋ฅผ ๋ค์ ์์ ํ์ฌ ์ด์ฉํ์๋ค. ์์ง๋ ์๋ฃ๋ SPSS๋ฅผ ์ฌ์ฉํ์ฌ ๋ฐฑ๋ถ์จ, ํ๊ท , ํ์คํธ์ฐจ๋ฅผ ๊ตฌํ ํ paired t-test, Repeated Measures ANOVA๋ก ๋ถ์ํ์๋ค. ๊ต์ก ํ ์ธํฐ๋ทฐ์ ํด์ ํ 1์ฃผ ํ ์ธํฐ๋ทฐ๋ ๋ด์ฉ ๋ถ์์ผ๋ก ํจ๊ณผ๋ฅผ ๋ถ์ํ์๋ค. ์ฐ๊ตฌ ๊ฒฐ๊ณผ๋ ๋ค์๊ณผ ๊ฐ๋ค.1. ์ 1๊ฐ์ค์ธ โ์ ์ฐฉ๊ด๊ณ ํ์ฑ ์ฆ์ง์ ์ค์ ์ ๋ ํด์ ๋์์ ๊ต์ก์ ์ ๊ณต๋ฐ์ ๊ณ ์ํ์ ์์ ์ด๋จธ๋๋ ๋ชจ์ฑ์ญํ ์์ ๊ฐ์ด ์์นํ ๊ฒ์ด๋ค.โ๋ ์ค๋ฌธ์กฐ์ฌ์์์ ์ธํฐ๋ทฐ ์กฐ์ฌ์์ ๋ชจ๋ ์ ์ํ ์ฐจ์ด๋ฅผ ๋ณด์ด๋ฉฐ ์ง์ง๋์๋ค.2. ์ 2๊ฐ์ค์ธ โ์ ์ฐฉ๊ด๊ณ ํ์ฑ ์ฆ์ง์ ์ค์ ์ ๋ ํด์ ๋์์ ๊ต์ก์ ์ ๊ณต๋ฐ์ ๊ณ ์ํ์ ์์ ์ด๋จธ๋๋ ๋ชจ์์ ์ฐฉ์ด ์์นํ ๊ฒ์ด๋ค.โ๋ ์ค๋ฌธ์กฐ์ฌ์์๋ ํต๊ณ์ ์ผ๋ก ์ ์ํ ์ฐจ์ด๋ฅผ ๋ณด์ด์ง ์์์ผ๋, ์ธํฐ๋ทฐ ์กฐ์ฌ์์ ์ ์ํ ์ฐจ์ด๋ฅผ ๋ณด์ด๋ฉฐ ์ง์ง๋์๋ค. ๊ฒฐ๋ก ์ ์ผ๋ก ๋ชจ์์ ์ฐฉ์ฆ์ง์ ์ํ ํด์ ๋์์ ๊ต์ก ํ๋ก๊ทธ๋จ์ ๊ณ ์ํ์ ์์ ์ด๋จธ๋์ ๋ชจ์ฑ์ญํ ์์ ๊ฐ์ ๋์ด๊ณ , ๋ชจ์์ ์ฐฉ๊ด๊ณ ํ์ฑ์ ๋๋ ํจ๊ณผ์ ์ธ ๊ฐํธ์ค์ฌ ์ ๋ต์ด๋ผ๊ณ ๋ณผ ์ ์๋ค. ๋ฐ๋ผ์ ๋น๋์ค ์๋ฒ ๊ต์ก ์ค์ฌ๋ฐฉ๋ฒ์ ํ์ฉํ๋ค๋ฉด ํด์ ํ ๊ณ ์ํ์ ์์์ ์ก์์ ๊ด๋ฆฌ ๋ฟ๋ง ์๋๋ผ ๋ชจ์์ ์ฐฉ ์ฆ์ง์ ๋์ผ ์ ์์ ๊ฒ์ผ๋ก ์ฌ๊ฒจ์ง๋ค.ope
Relationship between serum ฮณ-glutamyltransferase level and leukocyte count in Korean children and adolescents
BACKGROUND: Elevated ฮณ-glutamyltransferase (GGT) is an important risk factor for cardiometabolic diseases, which may result from chronic low-grade inflammation. Leukocyte count is widely considered a marker of inflammation and is also an independent predictor of cardiometabolic diseases. This study aimed to determine the relationship between GGT and leukocyte count in a representative sample of Korean children and adolescents.
METHODS: A nationwide cross-sectional study was conducted to examine the relationship between GGT and leukocyte count in 830 boys and 714 girls (aged 10-18 years), using data from the 2010-2012 Korean National Health and Nutrition Examination Survey. The odds ratios (ORs) and 95% confidence intervals (CIs) for high leukocyte count (โฅ 75th percentile) were calculated across GGT quartiles using multiple logistic regression analyses.
RESULTS: Leukocyte count gradually increased in accordance with serum GGT quartiles in both boys and girls (all p-values < 0.001). The OR (95% CI) for high leukocyte of the highest GGT quartile was 2.19 (1.05-4.58) for boys and 2.36 (1.13-4.93) for girls after adjusting for age, BMI, blood pressure, total cholesterol, triglyceride, physical activity, household income, and residential area. Similarly, these positive associations were observed in multiple logistic regression analysis using log2-transformed serum GGT as a continuous variable.
CONCLUSIONS: The present study demonstrates a positive relationship between serum GGT and leukocyte count. These findings indicate that serum GGT may be closely related with subclinical low-grade inflammation in children and adolescents.ope