Background: The purpose of this study was to create a mathematical model to precalculate the acreage change in the abdominal median sagittal plane (ac-AMSP) of patients with ankylosing spondylitis (AS) for whom two-level pedicle subtraction osteotomy (PSO) was planned.
Methods: A single-centre retrospective review of prospectively collected data was conducted among 11 adults with AS. Acreage of the abdominal median sagittal plane (a-AMSP) was performed. The distances and angles between the osteotomy apexes, anterosuperior edge of T12, xiphoid process, superior edge of the pubis, and anterosuperior corner of the sacrum were measured on preoperative thoracolumbar computed tomography. A mathematical model was created using basic trigonometric functions in accordance with the abdominal parameters. Planned osteotomized vertebra angles (POVAs) were substituted into the mathematical model, and the predictive ac-AMSP (P-AC) was obtained. A paired sample t test was performed to determine the differences between the P-AC and actual ac-AMSP (A-AC) and between the predictive acreage change rate (P-CR) and actual acreage change rate (A-CR).
Results: The mean age and GK were 44.4 ± 8.99 years and 102.9° ± 19.17°, respectively. No significant difference exists between A-CR and P-CR via mathematical modeling (p > 0.05). No statistically significant difference existed between POVA and actual osteotomized vertebra angles (AOVA) (p > 0.05). A statistically significant difference was observed between preoperative and postoperative measurements of LL, SVA, and GK variables (p < 0.001).
Conclusions: The novel mathematical model was reliable in predicting the ac-AMSP in AS patients undergoing two-level PSO.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11370221 | PMC |
| http://dx.doi.org/10.1186/s12893-023-02285-z | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Identify the underlying true model from other models for clinical practice using model performance measures.
BMC Med Res Methodol
January 2025
School of Mathematical Sciences, Xiamen University, Xiamen, 361005, People's Republic of China.
Objective: To assess whether the outcome generation true model could be identified from other candidate models for clinical practice with current conventional model performance measures considering various simulation scenarios and a CVD risk prediction as exemplar.
Study Design And Setting: Thousands of scenarios of true models were used to simulate clinical data, various candidate models and true models were trained on training datasets and then compared on testing datasets with 25 conventional use model performance measures. This consists of univariate simulation (179.
Simulated retail food environments: A literature review of systems science approaches to advance equity in access to healthy diets.
Obes Rev
January 2025
Department of Epidemiology and Biostatistics, University at Albany School of Public Health, Rensselaer, NY, USA.
As researchers increasingly utilize systems science simulation modeling (SSSM), little is known about how and by whom SSSMs are being leveraged to address inequities in access to healthy diets. We evaluated the extent to which studies (n = 66) employing SSSM to examine retail food environments (RFEs): included three pillars of equity (social position, human capital, socioeconomic and political context) that shape RFEs and access to healthy diets; grounded model design and development in theory; engaged with diverse stakeholders and lived experiences related to RFEs; and translated model findings towards addressing inequities in RFEs. Most studies (n = 58) included some model characteristics related to social position (e.
View Article and Find Full Text PDFMeta-Analysis of the Input and Disposition of Various Dosage Forms of Methylprednisolone in Healthy Subjects Utilizing a Physiologically Based Pharmacokinetic Model.
AAPS J
January 2025
Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, State University of New York at Buffalo, 160 Hayes Rd, Buffalo, New York, 14214, USA.
The study quantitatively analyzes and compares the pharmacokinetics (PK) of methylprednisolone (MPL) in humans upon administration of various dosage forms. The PK parameters and profiles of MPL in healthy subjects were collected from 22 literature sources. A minimal physiologically based pharmacokinetic (mPBPK) model consisting of blood and two tissue (lumped liver and kidney, remainder) compartments with nonlinear tissue partitioning was applied to describe MPL disposition.
View Article and Find Full Text PDFAdministration of Bisphosphonate Preparations to Mice with Mild-type Hypophosphatasia Reduces the Quality of Spontaneous Locomotor Activity.
Calcif Tissue Int
January 2025
Department of Pharmacology, Tokyo Dental College, 2-9-18, Kandamisaki-cho, Chiyoda-ku, Tokyo, 101-0061, Japan.
Hypophosphatasia (HPP) is a congenital bone disease caused by tissue-nonspecific mutations in the alkaline phosphatase gene. It is classified into six types: severe perinatal, benign prenatal, infantile, pediatric, adult, and odonto. HPP with femoral hypoplasia on fetal ultrasonography, seizures, or early loss of primary teeth can be easily diagnosed.
View Article and Find Full Text PDFA global kernel estimator for partially linear varying coefficient additive hazards models.
Lifetime Data Anal
January 2025
Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China.
We study kernel-based estimation methods for partially linear varying coefficient additive hazards models, where the effects of one type of covariates can be modified by another. Existing kernel estimation methods for varying coefficient models often use a "local" approach, where only a small local neighborhood of subjects are used for estimating the varying coefficient functions. Such a local approach, however, is generally inefficient as information about some non-varying nuisance parameter from subjects outside the neighborhood is discarded.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!