Assessment of risk factors and predictors for spontaneous pre-term birth in a South Indian antenatal cohort

Abstract

To assess incidence of spontaneous preterm births and determine biochemical and obstetric risk factors for spontaneous pre-term births in a cohort of antenatal women visiting a secondary care hospital. Methods: A prospective cohort study was designed to include 1420 pregnant women coming for antenatal care at a secondary care hospital. The cohort was followed throughout pregnancy and relevant history, obstetric and ultrasonographic examination and biochemical investigations was carried out in 2nd (20-24 weeks period of gestation) and 3rd trimester (28-32 weeks period of gestation). Outcome of delivery was noted for all the subjects. Results: A total of 1133 women were recruited. Among the 1071 respondents, 11 had abortions, 93.1% delivered at term while 5.9% had preterm deliveries. Preterm deliveries were noted among 6.5% women with short stature, 13.3% with cervical length <2.5 cms and 5.2% among women with anaemia. Statistically significant association was noted between Oligohydramnios, IUGR and preterm births. Salivary estriol was lower in women who had preterm births as compared to term births. Conclusions: The incidence of preterm births (5.9%) was low in the present cohort. Oligohydramnios and Intrauterine Growth Retardation (IUGR) were identified as significant risk factors for preterm births. Conventional risk factors like short cervix, short stature and biochemical inflammatory markers were not identified as predictors of prematurity. Lower levels of salivary estriol identified among women at risk of preterm births demonstrates the utility of the test as a non-invasive investigation for early identification of preterm births.

Predictors of preterm birth in Western Ethiopia: A case control study

“…Women who gave preterm birth were 2.48 more likely to have pregnancy complications than those giving birth at term [AOR = 2.48,95% CI 1.31-4.71]. This is in line with the crosssectional study conducted in the Debre markos town and the case-control study conducted in Southern India [23,25]. These could be due to most of the pregnancy complications affect the placental function like delivery of oxygen and nutrients to the growing fetus, possibly resulting in fetal growth restriction.…”

descriptive analysis on bagging based hybrid ensemble classification technique

“…The addition of maternal biomarkers (e.g., cervical length, fetal fibronectin, and serum analytees) improves prognosis, but gradually [7,8] a few methods can be used to predict fetal weight in clinical activities, including miscarriage, iparturient symphysio. -Fundal height and abdominal girth measurements, as well as obstetric ultrasound.…”

“…Historical data on prenatal testing can be analyzed and relationships between fiction organizations can be assessed through their training, integration, planning, and learning ability. .The use of machine learning techniques may reveal test algorithms that are more sensitive than conventional [7].…”

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“…When the expectant mother undergoes prenatal checkups, the clinical pathologic status may indicate the possibility of a PTB. In the Obstetrics and Gynecology (O&G) world, these indicators are called risk factors of PTB (8,9,10,11). The physician analyzes these risk factors and diagnoses the birth as either TB or PTB.…”