63 research outputs found

    Full-Body Radiographic Analysis of Postoperative Deviations From Age-Adjusted Alignment Goals in Adult Spinal Deformity Correction and Related Compensatory Recruitment.

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    Background: Full-body stereographs for adult spinal deformity (ASD) have enhanced global deformity and lower-limb compensation associations. The advent of age-adjusted goals for classic ASD parameters (sagittal vertical axis, pelvic tilt, spino-pelvic mismatch [PI-LL]) has enabled individualized evaluation of successful versus failed realignment, though these remain to be radiographically assessed postoperatively. This study analyzes pre- and postoperative sagittal alignment to quantify patient-specific correction against age-adjusted goals, and presents differences in compensation in patients whose postoperative profile deviates from targets. Methods: Single-center retrospective review of ASD patients β‰₯ 18 years with biplanar full-body stereographic x-rays. Inclusion: β‰₯ 4 levels fused, complete baseline and early (≀ 6-month) follow-up imaging. Correction groups generated at postoperative visit for actual alignment compared to age-adjusted ideal values for pelvic tilt, PI-LL, and sagittal vertical axis derived from clinically relevant formulas. Patients that matched exact ± 10-year threshold for age-adjusted targets were compared to unmatched cases (undercorrected or overcorrected). Comparison of spinal alignment and compensatory mechanisms (thoracic kyphosis, hip extension, knee flexion, ankle flexion, pelvic shift) across correction groups were performed with ANOVA and paired Results: The sagittal vertical axis, pelvic tilt, and PI-LL of 122 patients improved at early postoperative visits ( Conclusions: Global alignment cohort improvements were observed, and when comparing actual to age-adjusted alignment, undercorrections recruited pelvic and lower-limb flexion to compensate. Level of Evidence: 3

    Prediction of Protein Domain with mRMR Feature Selection and Analysis

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    The domains are the structural and functional units of proteins. With the avalanche of protein sequences generated in the postgenomic age, it is highly desired to develop effective methods for predicting the protein domains according to the sequences information alone, so as to facilitate the structure prediction of proteins and speed up their functional annotation. However, although many efforts have been made in this regard, prediction of protein domains from the sequence information still remains a challenging and elusive problem. Here, a new method was developed by combing the techniques of RF (random forest), mRMR (maximum relevance minimum redundancy), and IFS (incremental feature selection), as well as by incorporating the features of physicochemical and biochemical properties, sequence conservation, residual disorder, secondary structure, and solvent accessibility. The overall success rate achieved by the new method on an independent dataset was around 73%, which was about 28–40% higher than those by the existing method on the same benchmark dataset. Furthermore, it was revealed by an in-depth analysis that the features of evolution, codon diversity, electrostatic charge, and disorder played more important roles than the others in predicting protein domains, quite consistent with experimental observations. It is anticipated that the new method may become a high-throughput tool in annotating protein domains, or may, at the very least, play a complementary role to the existing domain prediction methods, and that the findings about the key features with high impacts to the domain prediction might provide useful insights or clues for further experimental investigations in this area. Finally, it has not escaped our notice that the current approach can also be utilized to study protein signal peptides, B-cell epitopes, HIV protease cleavage sites, among many other important topics in protein science and biomedicine

    Supplemental Material, Appendix_A - Adverse Outcomes and Prediction of Cardiopulmonary Complications in Elective Spine Surgery

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    <p> Supplemental Material, Appendix_A for Adverse Outcomes and Prediction of Cardiopulmonary Complications in Elective Spine Surgery by Peter G. Passias, Gregory W. Poorman, Edward Delsole, Peter L. Zhou, Samantha R. Horn, Cyrus M. Jalai, Shaleen Vira, Bassel Diebo, and Virginie Lafage in Global Spine Journal </p

    IMMUNOLOGICAL AND BIOCHEMICAL-STUDIES ON THE RELATIONSHIP BETWEEN 2 ACTIN-BINDING PROTEINS, PHOSPHOFRUCTOKINASE AND GELSOLIN

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    BUSS F, Hinssen H, JOCKUSCH BM. IMMUNOLOGICAL AND BIOCHEMICAL-STUDIES ON THE RELATIONSHIP BETWEEN 2 ACTIN-BINDING PROTEINS, PHOSPHOFRUCTOKINASE AND GELSOLIN. EUROPEAN JOURNAL OF BIOCHEMISTRY. 1988;175(2):251-257
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