Study Design: A cohort of 145 patients with adolescent idiopathic scoliosis (AIS) were identified and contacted to determine whether they had a family history of scoliosis. These results were submitted to an internal genealogical database to screen for potential connections to other AIS families. The severity and incidence of AIS in extended family groups were also analyzed.
Objectives: Our objectives were to quantify the genetic effect in AIS, determine the expressivity and penetrance of AIS in large family groupings, and examine larger scoliosis pedigrees for evidence of multiple genes.
Summary Of Background Data: Previous reports have suggested an 80% connectedness among scoliosis families, but no clear evidence of multiple genes. It is not known if there are major gene(s).
Methods: A cohort of 145 AIS probands were identified and contacted to ascertain whether they had a family history of AIS. Their medical records and spine radiographs were reviewed to confirm the diagnosis and determine the disease severity. Using an internal genealogical database, the cases were screened for potential connections that would produce larger extended pedigrees.
Results: Overall, 131 of the probands were in the database and 127 showed connections to other scoliosis families, a 97% connectedness. These results suggest a major scoliosis gene, as more than 50% of the probands were connected by founders that all resided in England in the mid 1500s. The differences in penetrance (41% vs. 34%) and expressivity (38% vs. 61%) between seemingly unrelated large family groupings might suggest that two different genes are a major influence for AIS in these families.
Conclusions: Nearly all (97%) AIS patients have familial origins. There appears to be at least one major gene, and the differences in penetrance and expressivity in two large unconnected pedigrees might suggest the presence of more than one gene.
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http://dx.doi.org/10.1097/01.brs.0000202527.25356.90 | DOI Listing |
Spine Deform
January 2025
Department of Orthopedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Purpose: Vertebral body tethering (VBT) is a non-fusion surgical option for adolescent idiopathic scoliosis (AIS) that requires a postoperative (PO) chest tube. This study evaluates whether 48 h of PO TXA reduces chest tube (CT) drainage and retention compared to 24 h of TXA following VBT for AIS.
Methods: Consecutively treated patients with a diagnosis of AIS who underwent VBT were assessed.
BMC Nurs
January 2025
Nursing Department, Hamad Medical Corporation, Doha, P.O. Box 3050, Qatar.
Background: Artificial Intelligence (AI) is increasingly applied in healthcare to boost productivity, reduce administrative workloads, and improve patient outcomes. In nursing, AI offers both opportunities and challenges. This study explores nurses' perspectives on implementing AI in nursing practice within the context of Jordan, focusing on the perceived benefits and concerns related to its integration.
View Article and Find Full Text PDFWorld Neurosurg
January 2025
Department of Rehabilitation, Lu 'an Hospital of Traditional Chinese Medicine of Anhui Province, Lu' an, Anhui, China. Electronic address:
Background: This study analyzes the factors influencing the 90-day prognosis of acute ischemic stroke (AIS) patients after mechanical thrombectomy (MT) and established a multidimensional risk model to predict postoperative 90-day outcomes.
Methods: A retrospective analysis of clinical data was conducted for AIS patients who underwent MT at our hospital. A total of 111 patients who met the inclusion criteria were included in the study.
Pharmaceuticals (Basel)
January 2025
College of Pharmacy, University of Illinois, Chicago, IL 60612, USA.
Artificial Intelligence (AI) has the disruptive potential to transform patients' lives via innovations in pharmaceutical sciences, drug development, clinical trials, and manufacturing. However, it presents significant challenges, ethical concerns, and risks across sectors and societies. AI's rapid advancement has revealed regulatory gaps as existing public policies struggle to keep pace with the challenges posed by these emerging technologies.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Electronics and Electrical Engineering, Faculty of Science and Technology, Keio University, 3-14-1, Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan.
In recent years, advancements in the interaction and collaboration between humans and have garnered significant attention. Social intelligence plays a crucial role in facilitating natural interactions and seamless communication between humans and Artificial Intelligence (AI). To assess AI's ability to understand human interactions and the components necessary for such comprehension, datasets like Social-IQ have been developed.
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