Obstetrical and Medical History of Pregnant Women with Toxoplasmosis in Al-Najaf Province, Case-Control Study

2019 ◽  
Vol 13 (4) ◽  
pp. 1334
Author(s):  
Raad Ajam Sayal ◽  
Atheer Kadhim Ibadi ◽  
Humam Kasem Hussein ◽  
Ameer Sadeq Yasir
Author(s):  
Mulualem Endeshaw ◽  
Fantu Abebe ◽  
Melkamu Bedimo ◽  
Anemaw Asrat ◽  
Abebaw Gebeyehu ◽  
...  

Background <br />Preeclampsia is one of the leading causes of maternal and fetal morbidity and mortalities worldwide. Despite extensive research, the underlying cause of preeclampsia remains poorly understood. This study aimed to offer compelling evidence on the important risk factors of preeclampsia in Amhara region, Ethiopia.<br /><br />Methods<br />A case control study was conducted in public health facilities of Bahir Dar city from September 2014 to January 2015. A total of 453 (151 cases and 302 controls) pregnant women were enrolled in this study. Hemoglobin level and urinary tract infection (UTI) status were collected from clinical notes. Oral examination was performed by a dentist for detection of periodontal diseases. Univariate and multiple logistic regression analysis was conducted to determine the relationship of all the independent variables with the outcome variable. A p-value &lt;0.05 was declared statistically significant.<br /><br />Result<br />Advanced maternal age (AOR=4.79;95% CI 1.031-22.18), family history of hypertension (AOR=11.16;95% CI 5.41-41.43), history of diabetes mellitus (AOR=6.17;95% CI 2.11-20.33), UTI in the current pregnancy (AOR=6.58;95% CI 2.93-14.73), failure to comply with iron and folic acid supplement during pregnancy (AOR=8.32;95% CI 3.35-20.62), lack of exercise (AOR=3.33;95% CI 1.35-8.17), multiple pregnancy (AOR=4.05;95% CI 1.57-12.27), anemia (AOR=4.19;95% CI 1.27-13.92), and periodontal disease or gingivitis (AOR =3.51;95% CI 1.14-10.83) were associated with preeclampsia.<br /><br />Conclusion <br />Family history of hypertension was the most dominant risk factor for preeclampsia in pregnant women. Encouraging pregnant women to have health seeking behavior during pregnancy would provide a chance to diagnose preeclampsia as early as possible.


Author(s):  
Hossein Maroufi ◽  
Abdorreza Naser Moghadasi ◽  
Hossein Rezaei-Aliabadi ◽  
Mohammad Ali Sahraian ◽  
Sharareh Eskandarieh

Background: The association between medical history and primary progressive multiple sclerosis (PPMS) development has not been well documented in the pertinent literature. The possible association between 23 medical diseases and PPMS occurrence was assessed in the present study. Methods: In order to figure out the possible association between several medical histories and PPMS occurrence, the present population-based case-control study examined 143 PPMS cases in Tehran, Iran, from 2019 to 2020. Diagnosis of PPMS was confirmed by neurologists based on the 2017 McDonald criteria. Sex-matched healthy controls (n = 143) were selected using the random-digit dialing (RDD) technique. Face-to-face and telephone interviews were conducted for gathering the data. The conditional logistic regression model was used to calculate adjusted and unadjusted odds ratio (OR) at a 95% confidence interval (CI). Results: A significant association was found between PPMS development and diseases like depression (OR = 3.12, 95% CI: 1.49-6.53), migraine (OR = 0.19, 95% CI: 0.05-0.67), infectious mononucleosis (OR = 13.16, 95% CI: 2.74-63.17), hypothyroidism (OR = 3.20, 95% CI: 1.23-8.30), and kidney failure (OR = 3.76, 95% CI: 1.41-9.99). Conclusion: Lifetime history of depression, infectious mononucleosis, hypothyroidism, and kidney failure might increase the risk of PPMS development, while individuals with positive history of migraine disease are at lower risk for developing PPMS.


2018 ◽  
Vol 21 (02) ◽  
pp. 347-353
Author(s):  
Manzoor Ahmad Naeem ◽  
Usra Naeem ◽  
Asif Hanif

Introduction: Pregnancy is a normal physiological event but some pregnancyspecific or other medical conditions can cause maternal as well as fetal morbidities and evenmortalities. Among them, raised blood pressure during pregnancy adversely affects bothmaternal and fetal outcomes. Objectives: In this study, risk factors associated with hypertensivedisorders of pregnancy are explored and pregnancy outcomes of hypertensive women withnormotensive pregnant women are compared. Design: Case control study. Settings: Obstetricsand gynecology department of Jinnah hospital Lahore. Period: 1st October 2011 to 24 February2012. Subjects and methods: The case control study of 250 cases (pregnant females withhypertensive disorders) and controls (pregnant females without hypertensive disorder),presented at obstetrics & gynecology department of Jinnah hospital during 1st October 2011 to24 February 2012 was conducted. SPSS software (16) and MS excel were used for statisticalanalysis. Results: Mean age for cases and controls was 26.96 ± 5.29yearsand 25.25 ±4.60years, respectively. Age and history of pregnancy was found to be significantly associatedwith hypertensive disorders of pregnancy. Comparison of neonatal outcome between casegroup and control group showed that hypertensive pregnant women were at higher risk of havingadverse pregnancy outcome. Conclusions: Women with hypertension during pregnancy are atincreased risk of having adverse pregnancy outcome as compared to normotensive women andage, history of pregnancy induced hypertension are contributing risk factors for developinghypertension during pregnancy.


2020 ◽  
Author(s):  
jianqiong liu ◽  
Qiong Dai ◽  
Wei Li ◽  
Yan Guo ◽  
Anna Dai ◽  
...  

Abstract Background Gestational diabetes mellitus (GDM) is extremely harmful to both the women and the fetuses. The association between the vitamin D receptor (VDR) gene and GDM has not been thoroughly investigated in Chinese pregnant women. Therefore, we aimed to determine whether VDR gene single nucleotide polymorphisms (SNPs) rs154410, rs7975232, rs731236, rs2228570 and rs739837 contribute to GDM risk in Wuhan, China. In addition, we aimed to explore their combined effect on the risk of GDM. Methods Pregnant women who had prenatal examination at 24 to 28 weeks’ gestation in our hospital were included in this case-control study. After exclusion, a total of 1684 pregnant women (826 GDM patients and 858 non-diabetic controls) were recruited. The clinical information and blood sample were collected by trained interviewers and nurses. Genotyping of candidate SNPs was conducted by the Sequenom MassARRAY platform. Statistical analyses such as t-test, chi-square test and logistic regression etc. were performed to the data with SPSS Software. Multifactor dimensionality reduction method was used to explore the gene-gene interactions on the risk of GDM. Results Differences in age, pre-pregnancy BMI, family history of diabetes and morning sickness between the case and control groups were statistically significant (P < 0.05), whereas no significant differences were found in height, gravidity, parity, and age of menarche (P > 0.05). There were no significant differences at allele and genotype distributions of the examined VDR gene SNPs (P > 0.05). After adjusting by age, pre-pregnancy BMI, family history of diabetes and morning sickness, the results of logistic regression analysis showed no associations of the five SNPs with GDM in all the four genotype models(P > 0.05). Furthermore, there were no gene-gene interactions on the GDM risk among the five examined VDR gene SNPs. Conclusion The VDR gene SNPs rs154410, rs7975232, rs731236, rs2228570 and rs739837 showed neither significant associations nor gene-gene interactions with GDM in Wuhan, China.


2019 ◽  
Vol 10 ◽  
Author(s):  
Angela Morra ◽  
Simone Palini ◽  
Luca Aquilanti ◽  
Lucrezia Togni ◽  
Luca Montanari ◽  
...  

2021 ◽  
Author(s):  
jianqiong Liu ◽  
Qiong Dai ◽  
Wei Li ◽  
Yan Guo ◽  
Anna Dai ◽  
...  

Abstract Background: Gestational diabetes mellitus (GDM) increased risk for perinatal complications to both the women and the fetuses. The association between the vitamin D receptor (VDR) gene and GDM has not been thoroughly investigated in Chinese pregnant women. Therefore, we aimed to determine whether VDR gene single nucleotide polymorphisms (SNPs) rs154410, rs7975232, rs731236, rs2228570 and rs739837 contribute to GDM risk in Wuhan, China. In addition, we aimed to explore their combined effect on the risk of GDM. Methods: Pregnant women who had prenatal examination at 24 to 28 weeks’ gestation in our hospital from January 15, 2018 to March 31, 2019 were included in this case-control study. After exclusion, a total of 1684 pregnant women (826 GDM patients and 858 non-diabetic controls) were recruited. The clinical information and blood sample were collected by trained interviewers and nurses. Genotyping of candidate SNPs was conducted by the Sequenom MassARRAY platform. Statistical analyses including t-test, ANOVA, chi-square test and logistic regression were performed to the data with SPSS Software to evaluate differences in genotype distribution and association of genotypes with GDM risk. Multifactor dimensionality reduction method was used to explore the gene-gene interactions on the risk of GDM. Results: Differences in age, pre-pregnancy BMI, family history of diabetes and previous history of GDM between the case and control groups were statistically significant (P<0.05), whereas no significant differences were found in height, gravidity, parity, and age of menarche (P>0.05). There were no significant differences at genotype distributions of the examined VDR gene SNPs (P>0.05). After adjusting by age, pre-pregnancy BMI, family history of diabetes, the results of logistic regression analysis showed no associations of the five SNPs with GDM in all the four genotype models(P>0.05). Furthermore, there were no gene-gene interactions on the GDM risk among the five examined VDR gene SNPs. Conclusion: The VDR gene SNPs rs154410, rs7975232, rs731236, rs2228570 and rs739837 showed neither significant associations nor gene-gene interactions with GDM in Wuhan, China.


2021 ◽  
Author(s):  
Zenebe Tefera ◽  
Mandefro Assefaw ◽  
Mulugeta W/Selassie

Abstract Background: Globally, hyperemesis gravidarum affects 0.3 to 3.6% of pregnant women. The etiology of hyperemesis gravidarum is unclear. In Ethiopia, limited studies have been conducted on the determinants of hyperemesis gravidarum. Therefore this study is aim to identify the determinants of hyperemesis gravidarum among pregnant women in public hospitals of Mekelle city, North Ethiopia. Methods: An unmatched case-control study was conducted from May to October 2019, with the ratio of 1:2(109 cases and 218 controls). Cases were women with hyperemesis gravidarum and controls were women who had no hyperemesis gravidarum. Cases were enrolled using consecutive sampling techniques and controls were selected by a systematic random sampling technique. Data were collected by interview using a structured questionnaire and analyzed using SPSS version 22. Statistical significance was considered at p- 0.05, and the strength of association was assessed by odds ratio and 95% confidence intervals. Result: Being housewife (AOR=2.43; 95% CI; 1.27, 4.62), unplanned pregnancy (AOR=2.58; 95% CI; 1.27, 5.24), had family history of hyperemesis gravidarum (AOR=3.85; 95% CI; 1.69, 8.75). H. pylori infection (AOR=3.50; 95% CI; 1.92, 6.39), high perceived stress (AOR=7.01; 95% CI; 2.56, 19.18) and being in the first and second trimester (AOR=6.01; 95% CI; 1.87, 19.26), and (AOR=4.73; 95% CI; 1.59, 14.00) were determinant of hyperemesis gravidarum. Conclusion and Recommendations: In this study; being a housewife, unplanned pregnancy, had a family history of hyperemesis gravidarum, H. pylori infection, high perceived stress, and being in the 1st and 2nd trimester of pregnancy were found to be the determinants of hyperemesis gravidarum. We recommend stress should be minimized through psychological support during follow up of pregnancy. Screening for H. Pylori should be taken as routine investigations for pregnant women who complain of nausea and vomiting.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jianqiong Liu ◽  
Qiong Dai ◽  
Wei Li ◽  
Yan Guo ◽  
Anna Dai ◽  
...  

Abstract Background Gestational diabetes mellitus (GDM) increased risk of perinatal complications for both the women and the fetuses. The association between the vitamin D receptor (VDR) gene polymorphism and GDM has not been thoroughly investigated in Chinese pregnant women. Therefore, we aimed to determine whether VDR gene single nucleotide polymorphisms (SNPs) rs154410, rs7975232, rs731236, rs2228570 and rs739837 contribute to GDM risk in Wuhan, China. Moreover, we aimed to explore their combined effects on the risk of GDM. Methods Pregnant women who had prenatal examinations at 24 to 28 weeks’ gestation in our hospital from January 15, 2018 to March 31, 2019 were included in this case-control study. After exclusion, a total of 1684 pregnant women (826 GDM patients and 858 non-diabetic controls) were recruited. The clinical information and blood samples were collected by trained interviewers and nurses. Genotyping of candidate SNPs was conducted on the Sequenom MassARRAY platform. Statistical analyses including t-test, ANOVA, chi-square test and logistic regression were performed to the data with SPSS Software to evaluate differences in genotype distribution and associations with GDM risk. Multifactor dimensionality reduction method was used to explore the gene-gene interactions on the risk of GDM. Results Differences in age, pre-pregnancy BMI, family history of diabetes and previous history of GDM between the case and control groups were statistically significant (P < 0.05), whereas no significant differences were found in height, gravidity, parity, and age of menarche (P > 0.05). There were no significant differences at genotype distributions of the examined VDR gene SNPs (P > 0.05). After adjusting by age, pre-pregnancy BMI, family history of diabetes, the results of logistic regression analysis showed no associations of the five SNPs with GDM in all the four genotype models(P > 0.05). Furthermore, there were no gene-gene interactions on the GDM risk among the five examined VDR gene SNPs. Conclusions The VDR gene SNPs rs154410, rs7975232, rs731236, rs2228570 and rs739837 showed neither significant associations nor gene-gene interactions with GDM in Wuhan, China.


Vaccine ◽  
2021 ◽  
Author(s):  
Aurelie Baldolli ◽  
Jocelyn Michon ◽  
Fanny Appia ◽  
Caroline Galimard ◽  
Renaud Verdon ◽  
...  

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