Publications by authors named "Iustina Solomon-Condriuc"

Article Synopsis
  • Multidrug-resistant urinary tract infections (MDR UTIs) are a significant public health issue for pregnant women, prompting a study to analyze the types of bacteria involved and their resistance patterns.
  • The study included 371 pregnant patients with UTIs, categorizing them based on their resistance to antibiotics into four groups, and used statistical methods to assess the impact of these infections on pregnancy outcomes.
  • Key findings revealed that MDR UTIs are associated with high resistance to common antibiotics like ampicillin and increased risks of complications such as preterm birth and neonatal health issues, highlighting the need for improved treatment protocols.
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Aim: In this secondary analysis, we aimed to characterize the lymphocytes population and placental inflammation in pregnant women with moderate and severe coronavirus disease 2019 (COVID-19) forms.

Patients, Materials And Methods: In the analysis of this prospective evaluation, we included 26 pregnant women at term with moderate and severe COVID-19 forms that were evaluated in a tertiary maternity center in a one-year timeframe. Clinical data, along with blood immunophenotyping results and placental histopathological examinations were comparatively evaluated between two study groups depending on the COVID-19 severity: Group 1 (moderate COVID-19, n=14 patients) and Group 2 (severe COVID-19, n=12 patients).

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Aim: Cervical intraepithelial neoplasia 2 (CIN2) evolution is controversial, and some of them regress spontaneously in a two-year follow-up. The purpose of this work was to evaluate the percentage of CIN2 progression or persistence during a 24-month follow-up, using clinical predictors such as human papillomavirus (HPV) genotype and cytology results.

Patients, Materials And Methods: This is a retrospective case-control study and included patients of reproductive age who had a new diagnosis of CIN2 who were monitored for lesion regression (Group 1, n=72 patients), and progression or persistence (Group 2, n=36 patients).

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: Polycystic ovary syndrome (PCOS) is a complex disorder that can negatively impact the obstetrical outcomes. The aim of this study was to determine the predictive performance of four machine learning (ML)-based algorithms for the prediction of adverse pregnancy outcomes in pregnant patients diagnosed with PCOS. : A total of 174 patients equally divided into 2 groups depending on the PCOS diagnosis were included in this prospective study.

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(1) Background: Trial of labor after cesarean (TOLAC) can be associated with significant maternal and neonatal complications, and the aim of this retrospective study was to calculate the risks and probabilities of these complications in two tertiary maternity centers in Romania. (2) Methods: A total of 216 patients who attempted TOLAC were included in the study and were segregated into two groups, depending on TOLAC success. Medical records were assessed, and clinical data were used to determine the maternal and neonatal risks and complications, using multinomial logistic regression and postestimation predictions.

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Introduction: Literature data present new studies about precancerous lesions of pelvic serous carcinoma that originate from the tubal secretory cells. It has long been thought that ovarian cancer cannot be prevented by prophylactic screening or surgery. In recent years, gynecologists have adapted to new principles and so, during routine hysterectomies in perimenopausal women for benign uterine pathologies, salpingo-oophorectomy is performed as a prophylactic approach.

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