1.Prediction and prevention of preterm birth after cervical conization.
Journal of Gynecologic Oncology 2010;21(4):207-208
No abstract available.
Conization
;
Premature Birth
2.Effect of Anti-inflammatory Drungs on the Lipopolysaccharide-induced Preterm Birth Rate in Pregnant Mice.
Pil Ryang LEE ; So Ra KIM ; Bok Kyung JUNG ; Jyu Raw KIM ; Mi Kyung KIM ; Ji Youn CHUNG ; Hye Sung WON ; In Sik LEE ; Ahm KIM
Korean Journal of Perinatology 2000;11(4):498-506
No abstract available.
Animals
;
Mice*
;
Premature Birth*
3.The Risk of Repeated Preterm Birth.
Kyung SEO ; Soon Mi CHOI ; Jae Sung CHO ; Yong Won PARK ; Yoon Ho LEE ; Kook LEE
Korean Journal of Obstetrics and Gynecology 1997;40(12):2728-2732
No abstract available.
Epidemiology
;
Premature Birth*
;
Risk Factors
4.Epidemiologic Study of Preterm Birth in Kwangju and Chonnam(I).
Hyung Gyun RHO ; Jong PARK ; Sang Ki PARK ; Chang Hun SONG
Korean Journal of Perinatology 1999;10(3):322-330
No abstract available.
Epidemiologic Studies*
;
Gwangju*
;
Premature Birth*
5.Hugs for keeps: A case report of pessary insertion in preterm twin gestation in the Philippines
Koleen C. Pasamba ; Regina Rosario M. Panlilio Vitriolo
Philippine Journal of Obstetrics and Gynecology 2019;43(6):33-38
Preterm birth accounts to 35 % of deaths in a year. Twin gestation, around 7.2 per 1000 births in the Philippines, is a known risk factor that increases likelihood of preterm birth compared to singletons. Most studies that addresses preterm births are focused on singleton pregnancies. There have been no established recommendations to control preterm labor in twin pregnancies. Pessary insertion is among these recommendations. There are no reported cases of pessary insertion to control preterm birth among twins in the Philippines. This study presents a case of twin gestation in preterm labor and no functional cervix on transvaginal ultrasound. Hodge pessary was inserted at 28 weeks age of gestation. She delivered at 36 weeks to live baby girls, both 2,200 grams and were directly roomed-in. Further studies are recommended to establish stronger evidence supporting pessary use in multiple gestation to improve outcome of neonates.
Pessaries
;
Premature Birth
;
Obstetric Labor, Premature
;
Pregnancy, Twin
6.Effects of maternal work activity during pregnancy on preterm birth and low birth weight.
Sang Heon KIM ; Yoon Kee PARK ; Sung Ho LEE
Korean Journal of Obstetrics and Gynecology 1993;36(8):3273-3280
No abstract available.
Humans
;
Infant, Low Birth Weight*
;
Infant, Newborn
;
Pregnancy*
;
Premature Birth*
7.The status, causes and solutions to reduce children mortality at Thai Binh province, 2001-2010 period
Journal of Vietnamese Medicine 2004;297(4):64-68
Analysis of 1.701 cases of children mortality under 14 years old at 7 districts and Thai Binh city, from January 1998 to December 2000. The results: early neonatal mortality (< 7days) or a part of prenatal mortality accounted for 35.3%; neonatal mortality 41.6%, children mortality under 1 year old: 57.6%; children mortality under 5 years old: 83.5% compared with children mortality total under 14 years old. Children mortality rate under 1 year old was 13.22%o; Children mortality rate under 5 years old trended to decrease from 23.3%o (1998) to 17.5%o (2000). The main causes of children mortality was cerebral diseases, meninges diseases; respiratory diseases, cardiovascular disease; then some accidents as drowning, electric shock, traffic accident and the third was premature birth
Child
;
Mortality
;
Cerebral Arterial Diseases
;
Premature Birth
9.Prediction of Gestational Age at Birth using an Artificial Neural Networks in Singleton Preterm Birth
Jee Yun LEE ; Soo Jung JO ; Eun Jin JUNG ; Kwang Sig LEE ; Seung Woo KIM ; Ho Yeon KIM ; Geum Joon CHO ; Soon Cheol HONG ; Min Jeong OH ; Hai Joong KIM ; Ki Hoon AHN
Journal of the Korean Society of Maternal and Child Health 2018;22(3):151-161
PURPOSE: The objective of the present study was to predict the gestational age at preterm birth using artificial neural networks for singleton pregnancy. METHODS: Artificial neural networks (ANNs) were used as a tool for the prediction of gestational age at birth. ANNs trained using obstetrical data of 125 cases, including 56 preterm and 69 non-preterm deliveries. Using a 36-variable obstetrical input set, gestational weeks at delivery were predicted by 89 cases of training sets, 18 cases of validating sets, and 18 cases of testing sets (total: 125 cases). After training, we validated the model by another 12 cases containing data of preterm deliveries. RESULTS: To define the accuracy of the developed model, we confirmed the correlation coefficient (R) and mean square error of the model. For validating sets, the correlation coefficient was 0.839, but R of testing sets was 0.892, and R of total 125 cases was 0.959. The neural networks were well trained, and the model predictions were relatively good. Furthermore, the model was validated with another dataset of 12 cases, and the correlation coefficient was 0.709. The error days were 11.58±13.73. CONCLUSION: In the present study, we trained the ANNs and developed the predictive model for gestational age at delivery. Although the prediction for gestational age at birth in singleton preterm birth was feasible, further studies with larger data, including detailed risk variables of preterm birth and other obstetrical outcomes, are needed.
Dataset
;
Gestational Age
;
Parturition
;
Pregnancy
;
Premature Birth
10.Assessment of mortality risky factors in low birth weight and premature newborns, who admitted in the Intensive Care Unit of Hospital of Sick Children N02 from 2000 to 2002
Journal of Practical Medicine 2004;471(1):40-43
The study was carried out on 58 premature newborn underweight babies at the Department of Rehabilitation of Pediatric Hospital, HCM City from Jan 1999 to May 2002. The babies have been monitored from the first 12th hour after birth to the discharge day of hospital. Results showed that premature newly born underweigh babies with disturbance of oxygene metabolism and acidosis blood metabolism had got the higher fatal versus the omes who had not. The ealier correcting of these disturbances will help to improve the mortality. It should increase the early use of surfactants at the Department of neonatal rehabilitation to reduce the risks of internal membranous disorders.
Mortality
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Risk factors
;
Infant, Low Birth Weight
;
Premature Birth
;
Infant, Premature