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Objectives: The aim was to investigate the prevalence of and factors associated with periodontal disease among pregnant Sudanese women. A cross-sectional study was conducted at the Antenatal Care Clinic of Saad Abualila Hospital (Khartoum, Sudan) from August to October 2018. Socioeconomic-demographic information and reproductive history were gathered using a questionnaire. Body mass index was computed from the weight and height. The diagnosis of periodontal disease was performed using criterion that also evaluated bleeding upon probing. Results: Four hundred and four women were enrolled in the study, with a mean (SD) gestational age of 30.0 (8.7) weeks. Their mean (SD) age and parity were 27.0 (5.7) years and 1.6 (1.7), respectively. Ninety-seven (24.0%) of these 404 women had periodontal disease, which was mild, moderate and severe in 49 (12.1%), 36 (8.9%) and 12 (3.0%) women respectively, while 307 (76.0%) women had no periodontal disease. In logistic regression, age, parity, education, and brushing were not associated with periodontitis, but lower gestational age was associated with periodontal disease (OR = 0.96, 95% CI 0.94-0.99, P = 0.011).

Background Oral glucose tolerance test (OGTT) performed at 24‐28 weeks gestation is the current recommended method to the diagnosis of gestational diabetes mellitus (GDM). Many recent studies investigating HbA1c in detecting GDM yield different results. There are no published data on HbA1c in the diagnosis of GDM in Sub‐Saharan countries including Sudan. Methods A cross‐sectional study was carried out at the antenatal care of Saad Abuelela Maternity Hospital, Khartoum, Sudan during the period from February to November 2018 to assess the reliability of HbA1c in the diagnosis of GDM. GDM was diagnosed according to the International Association of Diabetes and Pregnancy Study Groups using a 75‐g oral glucose tolerance test. Results Three hundred and forty‐eight women were enrolled. The mean (SD) of the age, gravidity, and gestational age of the enrolled women were 27.8 (5.6) years, 2.36 (2.2) and 26.26 (2.43) weeks, respectively. Sixty‐eight women (19.5%) had GDM. A poor productively for HbA1c in diagnosis GDM was shown (AUC = 0.62, 95% CI = 0.55‐0.69). At HbA1c level of 4.150%, the sensitivity and specificity of the diagnosis for GDM were 76.51% and 37.85%, respectively. At HbA1c level of 5.850%, the sensitivity and specificity of the diagnosis for GDM were 13.24% and 91.43%, respectively. While there was no significant (Spearman) correlation between fasting blood glucose and HbA1c, there were significant correlations between HbA1c and OGTT 1 and 2 hours of OGTT. Conclusion In this study, HbA1c has a poor reliability, insufficient sensitivity or specificity for use to diagnose GDM.

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Objective: To investigate the association between anemia and cesarean delivery. Methods:A case-control study was conducted in Saad Abu-Alela Hospital in Khartoum, Sudan from March 1 to November 30, 2107. The cases were women who had cesarean delivery; women who delivered vaginally were the controls. Obstetrics history was gathered using a questionnaire. Results:There was no significant difference in age, parity, residence, job, education, and newborn gender between women who delivered by cesarean (n=130) and women who delivered vaginally (n=260). While mean (SD) of the body mass index (29.3 (5.4) kg/m 2 vs 26.3 (5.6) kg/m 2 , P<0.001) was significantly higher, hemoglobin level (103.0 (8.0) g/L vs 107.0 (8.0) g/L, P=0.001) was significantly lower in women who delivered by cesarean compared with women who delivered vaginally. In logistic regression analyses, age, gravidity, occupation, education, history of miscarriage, and newborn gender were not associated with cesarean delivery; overweight (adjusted odds ratio [AOR] 2.30, 95% confidence interval [CI] 1.24-4.26), obesity (AOR 7.17, 95% CI 3.64-14.13) and anemia (AOR 2.45, 95% CI 1.47-4. 11) were associated with cesarean delivery. Conclusion:The significant association between anemia and cesarean delivery has important implications for the prevention and treatment of anemia among these women. K E Y W O R D S Anemia; Cesarean delivery; Hemoglobin; Maternal outcome; Pregnancy; Sudan 1 | INTRODUCTION Anemia during pregnancy is a public health problem, especially in resource-poor countries, and it is associated with increased risk of adverse effects on both maternal and perinatal outcomes. 1 WHO has defined anemia in pregnancy as a hemoglobin level of less than 110.0 g/L. 2 Global data show that over half (56%) of pregnant women in low-and middle-income countries are anemic. 1 Pregnant women in sub-Saharan Africa (57%) and in South-East Asia have the highest rate of anemia. 2 Anemia during pregnancy can lead to negative maternal and child health effects, such as fetal distress, low birth weight, and preterm delivery, and increase the risk of maternal and perinatal mortality. 3While the effects of anemia on pregnancy outcomes are extensively investigated, 4 the effect of anemia on mode of delivery in not yet fully explored. While some reports showed significant association between anemia and cesarean delivery, 5-9 other reports have shown no association between anemia and cesarean delivery or have shown that anemia reduced the likelihood of cesarean delivery. 5,6 Although the physiological reason for the increased rate of cesarean delivery in women with anemia is not fully understood, some factors such as impair delivery of oxygen and altered feto-placental angiogenesis could explain the association between anemia and cesarean delivery. [10][11][12][13] It is important to investigate the association between anemia and mode of delivery because there has been an increased rate of cesarean deliveries worldwide. The traditional list of indications for cesarean delivery, su...

This study aimed to analyze the existing literature on how artificial intelligence is being used to support the identification of cephalometric landmarks. The systematic analysis of literature was carried out by performing an extensive search in PubMed/MEDLINE, Google Scholar, Cochrane, Scopus, and Science Direct databases. Articles published in the last ten years were selected after applying the inclusion and exclusion criteria. A total of 17 full-text articles were systematically appraised. The Cochrane Handbook for Systematic Reviews of Interventions (CHSRI) and Newcastle-Ottawa quality assessment scale (NOS) were adopted for quality analysis of the included studies. The artificial intelligence systems were mainly based on deep learning-based convolutional neural networks (CNNs) in the included studies. The majority of the studies proposed that AI-based automatic cephalometric analyses provide clinically acceptable diagnostic performance. They have worked remarkably well, with accuracy and precision similar to the trained orthodontist. Moreover, they can simplify cephalometric analysis and provide a quick outcome in practice. Therefore, they are of great benefit to orthodontists, as with these systems they can perform tasks more efficiently.

Background: Panoramic radiographs are the most common radiographic tool used by the dental clinicians to evaluate teeth, mandible and other related structures of the jaws. Mandibular condyle is an important anatomical landmark for facial growth, expressed in an upward and backward direction. The presentation of mandibular condyle differs widely among different group of ages and individuals. Materials and methods:The retrospective cross-sectional study was conducted from Nov 2018 to March 2019 at Dow International Dental College (DIDC) Karachi that includes radiographic evaluation of 500 mandibular condyles. All retrievable OPGs were obtained and data were extracted regarding age, gender and condylar morphology. Results:The morphological appearances of mandibular condyle have great variation among different age groups and subjects. Normally we recognize five basic shapes i.e. Oval, Bird beak, crooked finger, diamond and mixed. Out of 250 pair of condylar heads that were evaluated, 50% were oval, 40% bird beak, 4.8% crooked finger and diamond 4.8%. Conclusions:All four morphological types of mandibular condyles were observed and the oval shape condyles were most prevalent among both genders and all age groups. In future studies, the inclusion of other parameters and large sample size may provide unique information.

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