Objectives: To identify the risk factors and evaluate the early neonatal outcomes of premature infants in Duhok Hospital for Obstetrics and Gynecology, a tertiary center in Kurdistan Region - Iraq. Methods: This cross sectional study was carried out from September 1/2021 to December 31/2021. Four hundred participants were recruited, 200 were preterm and 200 were term. The participants were examined and followed till delivery. Multivariable logistic regression analysis was used to identify the risk factors for preterm delivery. Results: The risks factors for preterm delivery were maternal age ≥ 35 years (AOR 3.32; 95 % CI 1.12-9.86), nulliparity (AOR 2.14; 95 % CI 1.25-3.67), history of preterm birth (AOR 6.51; 95 % CI 1.99-21.28,), no ANC (AOR 3.01; 95 % CI 1.32-6.87), < 4 ANC visits (AOR 1.92; 95 % CI 1.12-3.30), PROM (AOR 4.71; 95 % CI 2.71-8.16), antepartum hemorrhage (AOR 9.25; 95 % CI 1.81-47.39), hypertensive disorders in pregnancy (AOR 2.30; 95 % CI 1.12-4.71) and anemia (AOR 3.51; 95 % CI 1.86-6.63). Preterm delivery is linked to poor early neonatal outcomes. Conclusions: Early identification of women at risk for preterm delivery by health care providers is essential to prevent preterm delivery

Background: Pregnancy and childbirth are women's great life events. Their health is very important to the well-being of the whole family and society. A poor pregnancy outcome due to complications during the antenatal and intranatal periods emphasizes the importance of using appropriate techniques for determining the pregnancy risk level. The study aims to identify pregnancy risks and levels in order to provide sufficient care. Methods: A cross-sectional study design was applied to a convenience sample of 400 pregnant women referred to the Obstetrics Consultant's Unit. Detailed history and necessary lab results were taken according to the Modified Coopland scoring system. Pregnant women were divided into three groups: low, moderate, and high risk according to their total risk score. Results: Most of the study sample were between the ages of 18 and 35 (88%). Those who had previous cesarean section were (25%). Moderate anemia seems to be in (21.8%). Overall (23.5%) of the sample were in the high-risk category. A statistically high significant association was found between age and number of pregnancies with pregnancy risk level at p-value < 0.001. Conclusions: Study concluded that one quarter of the participants were under high risk category. Anemia and history of previous cesarean section were most common risk factors. In order to prevent adverse maternal and perinatal outcomes, it is crucial to identify high-risk pregnancies in the antenatal period by using a simple, easy-to-use, non-invasive, cost-effective numerical scoring system.