Facial femoral syndrome (FFS) is a rare congenital abnormality, also known as femoral hypoplasia-unusual facies syndrome, characterized by variable degrees of femoral hypoplasia, associated with specific facial features. Other organ malformations are sometimes present. Most cases are sporadic, but rare family observations suggest genetic origin. However, no chromosomal or genetic abnormalities have ever been incriminated. We conducted a comprehensive literature review and added three new unreported observations. Through these 92 cases, authors aimed to determine sonographic signs that should direct towards diagnosis, and discuss potential genetic etiology. Diagnosis was suspected prenatally in 27.2% of cases, and maternal diabetes was found in 42.4% of patients. When fetal karyotype was available, it was normal in 97.1% of cases, but genomic variations of unknown significance were discovered in all three cases in which array comparative genomic hybridization (CGH) techniques were applied. Femoral affection defining FFS was hypoplasia in 78.3% of cases, agenesis in 12%, and both in 9.8%. Affection was bilateral in 84.8% of cases. Retrognathia was present in 65.2% of cases, cleft lip and/or palate in 63%, and other organ malformations in 53.3%. Intellectual development was normal in 79.2% of cases. Better prenatal recognition of this pathology, notably frequently associated malformations, should lead to a more precise estimation of functional prognosis. It seems likely that today's tendency to systematically employ array-CGH and exome/genome sequencing methods to investigate malformative sequences will allow the identification of a causal genetic abnormality in the near future.
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http://dx.doi.org/10.1002/ajmg.a.38420 | DOI Listing |
Expert Rev Hematol
January 2025
Nishtar Medical University and Hospital, Multan, Pakistan.
Background: To compare plateletcount (PC), mean platelet volume (MPV), and platelet distribution width (PDW)between women with preeclampsia (PE) and normotensive pregnant women, andevaluate their effectiveness as predictors of PE.
Research Design Andmethods: This cross-sectionalstudy at Nishtar Hospital, Multan, included 141 women: 74 normotensive and 67preeclamptic. Data was collected using an automated hematology analyzer andanalyzed with SPSS version 26 and ROC curves.
Clin Trials
January 2025
Department of Biostatistics, University of Florida, Gainesville, FL, USA.
Introduction: The sequential parallel comparison design has emerged as a valuable tool in clinical trials with high placebo response rates. To further enhance its efficiency and effectiveness, adaptive strategies, such as sample size adjustment and allocation ratio modification can be employed.
Methods: We compared the performance of Jennison and Turnbull's method and the Promising Zone approach for sample size adjustment in a two-phase sequential parallel comparison design study.
Front Biosci (Landmark Ed)
January 2025
Institute of Translational Medicine, Shanghai University, 200444 Shanghai, China.
Background: Dexamethasone has proven life-saving in severe acute respiratory syndrome (SARS) and COVID-19 cases. However, its systemic administration is accompanied by serious side effects. Inhalation delivery of dexamethasone (Dex) faces challenges such as low lung deposition, brief residence in the respiratory tract, and the pulmonary mucus barrier, limiting its clinical use.
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January 2025
Department of Obstetrics and Gynecology, Zhongda Hospital, School of Medicine, Southeast University, 210000 Nanjing, Jiangsu, China.
Background: Pre-eclampsia (PE) is a gestational disorder that significantly endangers maternal and fetal health. Transfer ribonucleic acid (tRNA)-derived small RNAs (tsRNAs) are important in the progression and diagnosis of various diseases. However, their role in the development of PE is unclear.
View Article and Find Full Text PDFBr J Hosp Med (Lond)
January 2025
Department of Surgery & Cancer, Imperial College London, London, UK.
Predictive algorithms have myriad potential clinical decision-making implications from prognostic counselling to improving clinical trial efficiency. Large observational (or "real world") cohorts are a common data source for the development and evaluation of such tools. There is significant optimism regarding the benefits and use cases for risk-based care, but there is a notable disparity between the volume of clinical prediction models published and implementation into healthcare systems that drive and realise patient benefit.
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