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Introduction: Knee pain increases the risk of developing chronic widespread pain (CWP) and knee osteoarthritis (KOA). The prevalence of CWP and KOA has increased, and there is a need for early prevention. Therefore, the aim was to examine the associations of health-related quality of life (HRQoL) and lifestyle habits with chronic pain at a two-year follow-up in individuals with knee pain.

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Study Design: Retrospective review of a prospectively collected single-center adolescent idiopathic scoliosis (AIS) database.

Objective: To evaluate the outcomes of single-sided thoracic anterior vertebral body tethering (VBT) versus bilateral thoracic/thoracolumbar VBT for the treatment of Lenke 1C type curves, as well as the outcomes of Lenke 1A/B curves compared to 1C curves.

Background: Lenke 1C curves can be successfully treated with selective thoracic fusion alone.

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Objectives: To evaluate central quadrantectomy and nipple resection with areola preservation (CQ-NR-AP) as a new reconstructive oncoplastic technique Versus Grisotti flap mammoplasty (GFM) in central malignant tumors of the breast extending to the nipple, in terms of time procedures, breast symmetry, patient satisfaction, postoperative complications, and local recurrence.

Patients And Methods: The current study is a single-blind, single-center, randomized, controlled trial that was performed between May 2018 and May 2023 in the breast surgery unit of University Hospitals. This trial involved 40 individuals who had central breast lesions that extended to the nipple and were monitored for two years following surgery.

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Machine learning models for neurocognitive outcome prediction in preterm born infants.

Pediatr Res

January 2025

Emma Children's Hospital Amsterdam UMC, location University of Amsterdam, Follow-Me program & Emma Neuroscience group, Meibergdreef 9, Amsterdam, The Netherlands.

Background: Outcome prediction after preterm birth is important for long-term neonatal care, but has proven notoriously challenging for neurocognitive outcome. This study investigated the potential of machine learning to improve neurocognitive outcome prediction at two and five years of corrected age in preterm infants, using readily available predictors from the neonatal setting.

Methods: Predictors originating from the antenatal and neonatal period of preterm infants born <30 weeks gestation were used to predict adverse neurocognitive outcome on the Bayley Scale and Wechsler Preschool and Primary Scale of Intelligence.

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Background: Intraoperative femoral fractures are a rare, but serious complication of primary total hip arthroplasty (THA), and little is known about the rates of complications and reoperations in these patients. The objective of this investigation was to describe the two-year outcomes and revision rates in patients who sustain an intraoperative femoral fracture during THA.

Methods: A large administrative claims database was queried for patients who sustained an intraoperative femoral fracture during primary and elective THA from 2015 to 2022.

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