98%
921
2 minutes
20
Purpose: The aim of this study was to evaluate the prognostic value of textural parameters of primary tumors, serum lactate dehydrogenase (LDH), D -dimer, and ferritin in high-risk neuroblastoma patients.
Patients And Methods: The imaging findings of 22 neuroblastoma patients (14 girls and 8 boys; age, 36.6 ± 34.2 [range: 5 to 138] months) who underwent 18-fluorodeoxyglucose positron emission tomography/computed tomography for primary staging before therapy between 2009 and 2020 were retrospectively evaluated. Positron emission tomography-derived metabolic data (maximum standard uptake value, mean standard uptake value, metabolic tumor volume, and total lesion glycolysis) and textural features of primary tumors were obtained. Serum LDH, D -dimer, and ferritin levels at the time of diagnosis were recorded. Univariate and multivariate Cox proportional hazards regression models were used to identify predictors for progression-free survival (PFS) and overall survival (OS). Survival curves were estimated by using the Kaplan-Meier method.
Results: The median follow-up duration after diagnosis was 63 months (range: 5 to 141 mo). The median PFS and OS in all patients were 19 and 72 months, respectively. In multivariate Cox regression analyses with backward stepwise selection, grey level size zone matrix_size zone emphasis (GLSZM_SZE) was found as an independent predictor for both PFS and OS. Serum ferritin level was also found as an independent predictor for PFS. The Kaplan-Meier survival analysis showed that higher serum LDH, D -dimer, GLSZM_SZE, and zone size nonuniformity were significantly associated with shorter OS.
Conclusion: Serum LDH, D -dimer, ferritin levels, and GLSZM_SZE of primary tumors may be used as prognostic biomarkers to identify patients with worse prognoses in high-risk neuroblastoma. GLSZM textural features showing higher tumor heterogeneity are significantly associated with shorter PFS and OS.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1097/MPH.0000000000002662 | DOI Listing |
Ann Med Surg (Lond)
September 2025
Sheikh Khalifa Medical City, Ajman, United Arab Emirates.
Introduction: The infection caused by the COVID-19 virus is associated with thromboembolic events and severe inflammatory reactions, significantly impacting the prognosis of infected patients. Numerous studies have indicated that COVID-19 patients often exhibit a hypercoagulable state, disseminated intravascular coagulation, and overwhelming inflammation, particularly in critically ill patients with multiple comorbidities requiring admission to the ICU. This study aims to assess the prognostic significance of alterations in coagulation, inflammatory, and blood chemistry markers in COVID-19 patients both before and during admission to the ICU.
View Article and Find Full Text PDFBiomedicines
August 2025
Institute for Medical Research, University of Belgrade, 11000 Belgrade, Serbia.
: The coronavirus disease 2019 (COVID-19) has more severe symptoms and increased mortality among men than women. To address the prognostic impact of vaccination, comorbidities, and inflammatory biomarkers on classified clinical outcomes in hospitalized COVID-19 patients, we compared common and sex differences. : Besides laboratory and clinical parameters at hospital admission, we performed a common and sex-based comparative analysis for the clinical outcomes, RT-qPCR analyses, and measured severe acute respiratory syndrome coronavirus (SARS-CoV-2)-specific IgM and IgG antibody levels of 702 COVID-19 patients in a single centre from June 2020 to April 2022.
View Article and Find Full Text PDFBio Protoc
August 2025
Kusuma School of Biological Sciences, Indian Institute of Technology, New Delhi, India.
Pyruvate kinase M2 (PKM2) is a key glycolytic enzyme that catalyzes the conversion of phosphoenolpyruvate (PEP) to pyruvate, producing ATP in the final step of glycolysis. Unlike other isoforms, PKM2 is uniquely regulated, shifting between active tetramers and less active dimers to balance energy production with biosynthetic demands. This flexibility is exploited in cancer cells to support the Warburg effect and anabolic growth.
View Article and Find Full Text PDFThis study aimed to explore the relationship between total leukocyte count (TLC), ferritin, D-dimer, C-reactive protein (CRP), lactate dehydrogenase (LDH) and glycosylated hemoglobin (HbA1c) with the outcomes of SARS-CoV-2 Omicron infections. The retrospective cross-sectional study was conducted on 850 COVID patients, admitted in hospitals in Islamabad and Lahore from January 2021 to December 2022. Baseline data, medical history and laboratory findings including Complete Blood Count (CBC), TLC, D-dimer, serum ferritin, CRP, LDH and HbA1c were collected.
View Article and Find Full Text PDFZhonghua Wei Zhong Bing Ji Jiu Yi Xue
May 2025
Department of Emergency, Xiang'an Hospital of Xiamen University, Xiamen 361100, Fujian, China.
Objective: To identify the optimal machine learning algorithm for predicting post-stroke epilepsy (PSE) within one year following acute stroke, establish a nomogram model based on this algorithm, and perform external validation to achieve accurate prediction of secondary epilepsy.
Methods: A total of 870 acute stroke patients admitted to the emergency department of Xiang'an Hospital of Xiamen University from June 2019 to June 2023 were enrolled for model development (model group). An external validation cohort of 435 acute stroke patients admitted to the Fifth Hospital of Xiamen during the same period was used to validate the machine learning algorithms and nomogram model.