Legg-Calvé-Perthes disease (LCPD) presents with chronic nature of inflammation, characterized by prolonged synovitis. So far, no single blood marker has been identified to guide clinicians in estimating the severity and prognosis. Blood neutrophil to lymphocyte ratio (NLR) or systemic immune inflammation index (SII) is a simple indicator of subclinical inflammation. This study aims to examine the predictive ability of NLR, SII, and common laboratory parameters for estimating the severity of LCPD. The pre-operative laboratory findings at the time of osteotomy and implant removal in patients with unilateral LCPD who had been treated with the Salter innominate osteotomy and followed up until skeletal maturity as well as those of age-matched control patients with idiopathic noninflammatory conditions were analyzed. The datasets of 26 or 38 LCPD patients at the time of osteotomy or implant removal, respectively, and those of 20 control patients were available for analysis. At the time of osteotomy, compared to the control group, a significantly higher mean NLR or SII and a significantly lower mean alkaline phosphatase value were observed in the LCPD group. The alkaline phosphatase levels of patients with the modified lateral pillar (LP) group-A hips were significantly lower than those with the non-LP-A hips, whereas no significant differences were observed in any of the parameters between patients with favorable LP-A or -B hips and those with unfavorable LP-B|C border or -C hips. In agreement with the conventional opinion, it may be difficult to predict a meaningful prognosis of LCPD with the use of inflammatory markers or common laboratory parameters obtained in the initial stage of the disease.
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http://dx.doi.org/10.1097/MD.0000000000029061 | DOI Listing |
J Phys Chem A
January 2025
Department of Physics, University of Northeastern, IMIT-CONICET, Av. Libertad, 5500 Corrientes, Argentina.
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View Article and Find Full Text PDFJ Chem Theory Comput
January 2025
Beijing National Laboratory for Molecular Sciences, State Key Laboratory of Polymer Physics and Chemistry, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, P. R. China.
The accuracy and efficiency of a coarse-grained (CG) force field are pivotal for high-precision molecular simulations of large systems with complex molecules. We present an automated mapping and optimization framework for molecular simulation (AMOFMS), which is designed to streamline and improve the force field optimization process. It features a neural-network-based mapping function, DSGPM-TP (deep supervised graph partitioning model with type prediction).
View Article and Find Full Text PDFCurr Cardiol Rev
January 2025
Department of Pharmacology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, 342005, India.
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View Article and Find Full Text PDFCancer Manag Res
January 2025
Department of Clinical Laboratory, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, 530021, People's Republic of China.
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Med J Islam Repub Iran
September 2024
College of Medicine, University of Baghdad, Baghdad, Iraq.
Background: The involvement of inflammation in the start and advancement of atherosclerotic plaques in acute coronary syndrome has been clarified. White blood cell count and its differential are key inflammatory markers in cardiovascular disease, with the neutrophil-to-lymphocyte ratio (NLR) emerging as a marker of inflammation and a predictor of mortality in patients with acute coronary syndrome. The study aims to investigate the utility of neutrophil to lymphocyte ratio and other complete blood count parameters as a risk stratification tool and independent predictor of Global Registry for Acute Coronary Events (GRACE) risk score in Non-ST segment elevation acute coronary syndrome (NSTE-ACS).
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