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Concomitant exotropia (CX), a common form of strabismus, often requires surgical correction, yet up to 60% of patients undergo secondary surgery (SS) due to recurrence or residual deviation. Current risk prediction tools remain limited by inconsistent variables and short-term follow-up. This study aimed to develop and validate a nomogram integrating long-term follow-up data to predict individualized SS risk in CX patients. This is a retrospective cohort study of patients with CX who underwent surgery at the Peking University First Hospital between January 1, 2008, and December 31, 2010. Of the 355 CX cases included, 70% were randomly assigned to the training set (n = 248) and 30% to the validation set (n = 107). Demographic and clinical variables were ascertained at hospital admission and discharge and screened using multivariate Cox proportional hazards regression analysis to construct predictive models and generate a one-, three-, and six-year alignment rate nomogram. This nomogram provided an estimate of the risk of SS in patients with surgically treated CX. Internal validation was conducted using the concordance index (C-index) and calibration curve for the training and validation sets, respectively. Four independent prognostic factors were identified: age of onset, refraction, types, and deviation angles one week after surgery entered into the nomogram. The proposed nomogram showed favorable discrimination and accuracy in the training and validation sets. The C-indexes of the training and validation sets were 0.83(95%CI:0.71 ~ 0.95) and 0.80(95%CI: 0.70 ~ 0.89), respectively. The proposed nomogram may serve as a predictive tool for prognostic evaluation of CX surgery.
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http://dx.doi.org/10.1038/s41598-025-01463-8 | DOI Listing |
J Mass Spectrom
October 2025
Graduate Program in Health Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, Rio Grande do Sul, Brazil.
The laboratory analysis of new psychoactive substances and related drugs is crucial for accurate clinical and forensic diagnosis of poisonings. Given this, a new LC-MS/MS method for analyzing hallucinogens, synthetic cathinones, and synthetic cannabinoids in urine was developed. Urine samples were extracted using a liquid-liquid extraction protocol optimized via a multivariate experimental design.
View Article and Find Full Text PDFStem Cell Rev Rep
September 2025
Department of Medical Genetics and Prenatal Diagnostics, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
The emergence of organoid models has significantly bridged the gap between traditional cell cultures/animal models and authentic human disease states, particularly for genetic disorders, where their inherent genetic fidelity enables more biologically relevant research directions and enhances translational validity. This review systematically analyzes established organoid models of genetic diseases across organs (e.g.
View Article and Find Full Text PDFJ Imaging Inform Med
September 2025
Department of Biomedical Engineering, Gachon University, Seongnam-Si 13120, Gyeonggi-Do, Republic of Korea.
To develop and validate a deep-learning-based algorithm for automatic identification of anatomical landmarks and calculating femoral and tibial version angles (FTT angles) on lower-extremity CT scans. In this IRB-approved, retrospective study, lower-extremity CT scans from 270 adult patients (median age, 69 years; female to male ratio, 235:35) were analyzed. CT data were preprocessed using contrast-limited adaptive histogram equalization and RGB superposition to enhance tissue boundary distinction.
View Article and Find Full Text PDFEur J Nutr
September 2025
Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark.
Purpose: We developed a diet quality index based on the Planetary Health Diet (PHD) to assess healthy and sustainable diets. The index was applied alongside socio-demographic characteristics in five regions across Europe and North Africa.
Methods: The Sustainable Healthy Diet Index (SHDI) was designed using existing and validated healthy diet indexes.
Pharm Res
September 2025
Axcelead Tokyo West Partners, Inc. Translational Science, Discovery DMPK, Hino-Shi, Tokyo, 191-0065, Japan.
Purpose: Accurate prediction of human clearance (CL) is essential in early drug development. Single Species Scaling (SSS) using rat pharmacokinetic (PK) data, particularly with unbound plasma fraction (f), is widely used. However, its accuracy declines for compounds with extremely low f, and no systematic method has addressed this limitation.
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