2 research outputs found

    Determination of Fetal Abnormalities in Pregnancies Leading to Legal Abortion in Golestan Province (2018-19)

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    Background and Objective: In recent years, studies have been conducted to determine the prevalence rate of congenital abnormalities in different regions of Iran, most of which were conducted on live births. This study was conducted to determine fetal abnormalities in pregnancies leading to legal abortion in Golestan province. Methods: This descriptive-analytical study was conducted on 199 pregnant women with a gestational age of less than 20 weeks with abortion licenses from the Forensic Medicine Center of Golestan province over 9 months during 2018-19. Demographic characteristics, including parents’ age, ethnicity, and family relationship, and the type of fetal abnormalities were recorded. Results: Given 29,460 births in Golestan province over a 9-month period, the prevalence of fetal abnormalities was determined to be 6.75 per thousand births. The incidence rates of fetal abnormalities were determined to be 6.78, 6.68, 7.69, and 5.65 per thousand births in native Fars (80 cases), Turkmen (65 cases), Sistani (34 cases), and other (20 cases) ethnic groups, respectively. Since the gender of 80 fetuses was unknown, the incidence rates of abnormality were determined to be 4.36 and 3.72 per thousand births in female (63 cases) and male (56 cases) fetuses, respectively. The most common fetal abnormalities included central nervous system (n=49, 24.62%), chromosomal abnormalities (n=47, 23.61%), and cardiovascular impairments (n=26, 13.06%). The incidence of fetal abnormalities was not found to have a statistically significant relationship with parents' age, ethnicity, and family relationship. Conclusion: The most prevalent fetal abnormality was related to central nervous system disorders. The incidence of fetal abnormalities had no relationship with the parents’ age, ethnicity, and family relationship

    The Role of IL-6 for Predicting Neonatal Sepsis: A Systematic Review and Meta-Analysis

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    Objective: Neonatal sepsis (NS) is a common and life-threatening disorder in infants. Previous studies showed that interleukin-6 (IL-6) may be a valid non-invasive and rapid method for diagnosis of NS. We conducted this review to assess the validity of IL-6 for predicting NS. Methods: This was a systematic review with meta-analysis. Embase, Medline and Web of Science databases were searched between January 1990 and December 2009. The search terms used were “cytokine”, “neonate”, “sepsis” and “interleukin-6". We used standard methods recommended for meta analyses of diagnostic test evaluations. The analysis was based on a summary ROC (SROC) curve. Meta-regression analysis was used to assess the effects of some confounding factors on the results of meta-analysis. Potential presence of publication bias was tested using funnel plots and the Egger test. Findings: Meta-analysis was performed on 13 publications including 353 infants with sepsis and 691 control infants. The pooled sensitivity and specificity of IL-6 was 0.79 and 0.84, respectively. The maximum joint sensitivity and specificity (i.e., the Q value) in SROC curve was 0.82 and the area under curve (AUC) was 0.89 (95% CI: 0.84-0.94). Meta-regression analysis showed that the diagnostic accuracy of IL-6 was not affected by confounding variables. The evaluation of publication bias showed that the Egger test was not significant (P=0.07). Conclusion: IL-6 seems to be a valid marker for predicting NS. It may be considered for early diagnosis of sepsis in neonatal care units
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