Comparison of Baseline Characteristics, Sociodemographics, and Gynecological Risk Factors Associated with Secondary Infertility of Females in Pakistan.

Introduction: Secondary infertility is characterized by the inability to conceive for a period of 1 year, after having previously conceived at least once. Objectives: To explore the risk factors of secondary infertility and compare sociodemographics and anthropometric variables of each studied group. Methods: Study was conducted at University Institute of Public Health, Faculty of Allied Health Sciences, The University of Lahore, collecting data from Gilani Ultrasound Center in 18 months after approval of synopsis. Total 690 females (345 cases and 345 controls) were enrolled. Participants were included in case group if they were 20-45 years of age, having any parity, and confirmed diagnosis of secondary infertility. Results: The mean age of cases and controls was 33.08 ± 4.17 years and 31.37 ± 4.36 years, respectively. The mean body mass index (BMI) in cases was 27.61 ± 4.27 kg/m2, and in controls the mean BMI was 25.52 ± 4.30 kg/m2. There was not a significant difference among religion that shows no association (p = 0.73) with secondary infertility as profession has association with it (p = 0.01). History of polycystic ovary syndrome, pelvic inflammatory disease, endometriosis, uterine fibroids, menorrhagia, intermenstrual bleeding, and history of abortion are associated with secondary infertility. Conclusions: While several sociodemographic features and medical disorders have been associated to secondary infertility, it is vital to stress that not all of these factors are controllable by medical therapy. Factors like age and certain medical issues may be unaffected by intervention. However, for controllable variables like BMI and certain medical diseases, focused therapies and lifestyle changes may reduce the chance of subsequent infertility.

Predicted risk factors associated with secondary infertility in women: univariate and multivariate logistic regression analyses.

Introduction: Infertile women are those who regularly engage in unprotected intercourse for a period of at least 1 year and are unable to become clinically pregnant. Primary infertility means the inability of couples to conceive, without any previous successful pregnancies. Secondary Infertility refers to the inability to get pregnant for 12 months, after having a previous pregnancy for one time at least. The objectives of the current study were to analyze risk factors for secondary infertility and compare the predictive accuracy of artificial neural network (ANN) and multiple logistic regression models. Methods: The study was conducted at The University Institute of Public Health collecting data from Gilani Ultrasound Center 18 months after approval of synopsis. A total of 690 women (345 cases and 345 controls) were selected. The women selected for the case group had to be 20-45 years of age, had any parity, and had a confirmed diagnosis of secondary infertility. Results: Multiple logistic regression (MLR) and ANN were used. The chance of secondary infertility was 2.91 times higher in women living in a joint family [odds ratio (OR) = 2.91; 95% confidence interval (CI) (1.91, 4.44)] and was also 2.35 times higher for those women who had relationship difficulties with their husband [OR = 2.35; 95% CI (1.18, 4.70)]. Marriage at an earlier age was associated with secondary infertility with ß being negative and OR being < 1 [OR = 0.94; 95% CI (0.88, 0.99)]. For the logistic regression model, the area under the receiver operative characteristic curve (ROC) was 0.852 and the artificial neural network was 0.87, which was better than logistic regression. Discussion: Identified risk factors of secondary infertility are mostly modifiable and can be prevented by managing these risk factors.

Comparison of the resistive indices obtained in the uterine artery and the ophthalmic artery in preeclamptic and normotensive patients in Doppler US.

Introduction: Preeclampsia is a medical condition characterized by hypertension and proteinuria during pregnancy, with the symptoms generally manifesting in the 3rd trimester. Hypertension brings hemodynamic changes; it is therefore expected that arterial blood flow velocity waveforms will be different in the uterine and ophthalmic arteries in preeclampsia. Vascular changes do occur in preeclampsia, which in turn induces hemodynamic changes. Aim: To compare mean values of the resistive index of the ophthalmic and uterine arteries in patients with preeclampsia and normotensive individuals in Doppler US. Methods: In this cross-sectional observational study, ultrasound of the uterine and ophthalmic arteries was performed in 60 pregnant women in the 2nd and 3rd trimester of pregnancy to compare the resistive index of these arteries in preeclamptic and normotensive individuals. All the patients, i.e. 30 preeclamptic and 30 normotensive pregnant women, took part in this study voluntarily. The study was approved by the institutional review board (IRB) of the University of Lahore. Results: The mean resistive index of the uterine artery was 0.50 ± 0.08 in normotensive participants and 0.64 ± 0.09 in preeclamptic women, with the p-value <0.001. The mean resistive index of the ophthalmic artery was 0.70 ± 0.05 in normotensive participants and 0.63 ± 0.04 in preeclamptic women, with the p-value <0.001. Conclusions: There was a significant negative correlation between the resistive index of the uterine and ophthalmic arteries among the patients with preeclampsia and a significant positive correlation among normotensive individuals. Preeclampsia could be easily diagnosed with Doppler ultrasound based on hemodynamic changes in response to vascular changes in the ophthalmic and uterine arteries.Introduction: Preeclampsia is a medical condition characterized by hypertension and proteinuria during pregnancy, with the symptoms generally manifesting in the 3rd trimester. Hypertension brings hemodynamic changes; it is therefore expected that arterial blood flow velocity waveforms will be different in the uterine and ophthalmic arteries in preeclampsia. Vascular changes do occur in preeclampsia, which in turn induces hemodynamic changes. Aim: To compare mean values of the resistive index of the ophthalmic and uterine arteries in patients with preeclampsia and normotensive individuals in Doppler US. Methods: In this cross-sectional observational study, ultrasound of the uterine and ophthalmic arteries was performed in 60 pregnant women in the 2nd and 3rd trimester of pregnancy to compare the resistive index of these arteries in preeclamptic and normotensive individuals. All the patients, i.e. 30 preeclamptic and 30 normotensive pregnant women, took part in this study voluntarily. The study was approved by the institutional review board (IRB) of the University of Lahore. Results: The mean resistive index of the uterine artery was 0.50 ± 0.08 in normotensive participants and 0.64 ± 0.09 in preeclamptic women, with the p-value <0.001. The mean resistive index of the ophthalmic artery was 0.70 ± 0.05 in normotensive participants and 0.63 ± 0.04 in preeclamptic women, with the p-value <0.001. Conclusions: There was a significant negative correlation between the resistive index of the uterine and ophthalmic arteries among the patients with preeclampsia and a significant positive correlation among normotensive individuals. Preeclampsia could be easily diagnosed with Doppler ultrasound based on hemodynamic changes in response to vascular changes in the ophthalmic and uterine arteries.