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A comprehensive analysis to reveal the underlying molecular mechanisms of natural killer cell in thyroid carcinoma based on single-cell RNA sequencing data.
Discov Oncol
January 2025
The Department of Experimental Medicine, Meishan City People's Hospital, No. 288, South Fourth Section, Dongpo Avenue, Meishan, 620000, Sichuan, China.
Background: Thyroid carcinoma (THCA) is the most common cancer of the endocrine system. Natural killer (NK) cell play an important role in tumor immune surveillance. The aim of this study was to explore the possible molecular mechanisms involved in NK cell in THCA to help the management and treatment of the disease.
View Article and Find Full Text PDFMachine learning validation of a simple prediction model for the correlation between advanced age and clinical outcomes in patients with aneurysmal subarachnoid hemorrhage.
Neurosurg Rev
January 2025
Kobayashi Hospital, 510 Imaichi, Izumo City, Shimane, 693-0001, Japan.
Adverse effects of advanced age and poor initial neurological status on outcomes of patients with aneurysmal subarachnoid hemorrhage (SAH) have been documented. While a predictive model of the non-linear correlation between advanced age and clinical outcome has been reported, no previous model has been validated. Therefore, we created a prediction model of the non-linear correlation between advanced age and clinical outcome by machine learning and validated it using a separate cohort.
View Article and Find Full Text PDFEstablishment and validation of a nomogram for predicting intravenous immunoglobulin resistance and coronary artery lesion involvement in Kawasaki disease: a retrospective study.
Clin Rheumatol
January 2025
Department of Pediatrics, Qilu Hospital of Shandong University, Jinan, 250012, China.
Objective: We aimed to develop a useful nomogram for early identification of Kawasaki disease (KD) children at a high risk of intravenous immunoglobulin (IVIG) resistance and coronary artery lesion (CAL) complications to improve KD management.
Methods: Clinical data from 400 patients treated at our hospital between January 1, 2016, and December 31, 2023, were collected. Lasso regression was utilized to screen risk factors for IVIG resistance and CAL involvement.
Background: Early identification of massive transfusion (MT) requirement in geriatric patients with severe trauma is challenging. Existing systems for predicting MT need in trauma patients have not been systematically evaluated for their relevance to the geriatric population. This study aimed to evaluate the predictive accuracy of initial vital signs and the Glasgow coma scale (GCS) in geriatric trauma patients for predicting MT.
View Article and Find Full Text PDFBackground: The aim of this study was to explore the value of heparin-binding protein (HBP) in the early recognition of sepsis coagulopathy (SIC) and the prognosis of sepsis patients.
Methods: A retrospective analysis was performed for 139 patients with sepsis admitted to the Intensive Care Unit (ICU) of Hefei Third People's Hospital from April 2022 through April 2024. The clinical baseline data, disease scores [sequential organ failure (SOFA) score, acute physiology and chronic health status (APACHE II) score, and SIC score], inflammatory markers [HBP, procalcitonin (PCT), and interleukin 6 (IL-6)], coagulation-related indexes [platelet count (PLT), prothrombin time (PT), prothrombin time international normalized ratio (PT-INR), activated partial thromboplastin time (APTT), fibrinogen (Fib), and D dimer (D-D)], and the survival time and 28-day prognosis of all patients were observed.
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