Publications by authors named "G Swiercz"

Lumbopelvic pain (LBP) is a prevalent condition during pregnancy, affecting a significant proportion of pregnant women. It arises from hormonal, biomechanical, and postural changes, often exacerbating discomfort and impairing quality of life. This study aimed to evaluate the effects of targeted motor control interventions focusing on sternal alignment on spinal alignment, pain, and muscle activity in pregnant women at risk of preterm birth.

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Artificial Intelligence (AI)-based algorithms are increasingly entering clinical practice, aiding in the assessment of fetal anatomy and biometry. One such tool for evaluating the fetal head and central nervous system structures is SonoCNS™, which delineates appropriate planes for measuring head circumference (HC), biparietal diameter (BPD), occipitofrontal diameter (OFD), transcerebellar diameter (TCD), width of the posterior horn of the lateral ventricle (Vp), and cisterna magna (CM) based on a 3D volume acquired at the level of the fetal head's thalamic plane. This study aimed to evaluate the intra- and interobserver variability of measurements obtained using this software.

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Article Synopsis
  • The study examined the link between first-trimester biochemical markers and the occurrence of preterm birth (PTB) among 1,164 patients, identifying low levels of Pregnancy-Associated Plasma Protein-A (PAPP-A) as a significant risk factor for both general PTB and spontaneous PTB (sPTB).
  • Despite finding correlations, the predictive accuracy of these markers was limited, with an area under the curve (AUC) below 0.7, suggesting they are not highly reliable for diagnosing preterm birth risk.
  • The research concluded that while certain markers are associated with preterm birth outcomes, their individual and combined predictive capabilities are inadequate, indicating the need for better predictive tools.
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Objectives: The use of internet-based search engines for health information is very popular and common. The Internet has become an important source of health information and has a considerable impact on patient's decision making process. Knowledge of pregnant women about childbirth comes from health professionals and personal experiences described by friends or family members.

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: Contemporary diagnostic methods aimed at assessing neonatal outcomes predominantly rely on the medical history of pregnant women. Ideally, universal biomarkers indicating an increased risk of delivering infants in poor clinical condition, with a heightened likelihood of requiring hospitalization in a Neonatal Intensive Care Unit (NICU), would be beneficial for appropriately stratifying pregnant women into a high-risk category. Our study evaluated whether biochemical and ultrasonographical markers universally used in first-trimester screenings for non-heritable chromosomal aberrations could serve this purpose.

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