Publications by authors named "Xigang Xia"

Background: There are factors that significantly increase the risk of postoperative pulmonary infections in patients with primary hepatic carcinoma (PHC). Previous reports have shown that over 10% of patients with PHC experience postoperative pulmonary infections. Thus, it is crucial to prioritize the prevention and treatment of postoperative pulmonary infections in patients with PHC.

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Purpose: This study is to investigate the [Ga]Ga-DOTA-FAPI PET/CT diagnosis performance in biliary tract carcinoma (BTC) and analyze the association between [Ga]Ga-DOTA-FAPI PET/CT and clinical indexes.

Methods: A prospective study (NCT05264688) was performed between January 2022 and July 2022. Fifty participants were scanned using [Ga]Ga-DOTA-FAPI and [F]FDG PET/CT and acquired pathological tissue.

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Background: Postoperative pancreatic fistula (PF) is a serious life-threatening complication after pancreaticoduodenectomy (PD). Our research aimed to develop a machine learning (ML)-aided model for PF risk stratification.

Aim: To develop an ML-aided model for PF risk stratification.

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Background: High glycolysis efficiency in tumor cells can promote tumor growth. lncRNAs play an important role in the proliferation, metabolism and migration of cancer cells, but their regulation of tumor glycolysis is currently not well researched.

Methods: We analyzed the co-expression of glycolysis-related genes and lncRNAs in The Cancer Genome Atlas (TCGA) database to screen glycolysis-related lncRNAs.

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Inhibiting the functioning of PD-1/PD-L1 to activate human immune system and improve the prognosis of pancreatic cancer (PC) would provide a significant boost to handling the disease. One research found the expression level of NSG3 was reduced in pediatric pilocytic astrocytoma, so is PC and we found NSG3 could regulate the expression of PD-L1. So NSG3 could become a new target for enhancing the immune response to PC.

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Background: To develop a sensitive and clinically applicable risk assessment tool identifying coronavirus disease 2019 (COVID-19) patients with a high risk of mortality at hospital admission. This model would assist frontline clinicians in optimizing medical treatment with limited resources.

Methods: 6415 patients from seven hospitals in Wuhan city were assigned to the training and testing cohorts.

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Corticosteroid therapy is now recommended as a treatment in patients with severe COVID-19. But one key question is how to objectively identify severely ill patients who may benefit from such therapy. Here, we assigned 12,862 COVID-19 cases from 21 hospitals in Hubei Province equally to a training and a validation cohort.

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Background: The coronavirus disease 2019 (COVID-19) is a recently emerged respiratory infectious disease with kidney injury as a part of the clinical complications. However, the dynamic change of kidney function and its association with COVID-19 prognosis are largely unknown.

Methods: In this multicenter retrospective cohort study, we analyzed clinical characteristics, medical history, laboratory tests, and treatment data of 12,413 COVID-19 patients.

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Statins are lipid-lowering therapeutics with favorable anti-inflammatory profiles and have been proposed as an adjunct therapy for COVID-19. However, statins may increase the risk of SARS-CoV-2 viral entry by inducing ACE2 expression. Here, we performed a retrospective study on 13,981 patients with COVID-19 in Hubei Province, China, among which 1,219 received statins.

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Type 2 diabetes (T2D) is a major comorbidity of COVID-19. However, the impact of blood glucose (BG) control on the degree of required medical interventions and on mortality in patients with COVID-19 and T2D remains uncertain. Thus, we performed a retrospective, multi-centered study of 7,337 cases of COVID-19 in Hubei Province, China, among which 952 had pre-existing T2D.

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This paper investigates the performance of a full-duplex (FD) relaying-enabled satellite sensor network under residual loop interference, where the satellite uplink and the downlink transmissions simultaneously occur over the same frequency band. Specifically, the closed-form expressions for the outage probability and ergodic capacity of the FD relaying satellite sensor network are derived by considering residual loop interference, channel statistical property, propagation loss, geometric satellite antenna pattern, and terminal elevation angle. Simulation results show the achieved performance gains of a full-duplex relaying satellite sensor network over traditional half-duplex relaying, and highlight the impact of key system parameters on the performance of the considered FD relaying satellite sensor network.

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Objective: To investigate the effects of lipiodol-hydroxyapatite nanoparticle (lipi-nHAP) on the growth, necrosis, apoptosis, proliferation, and angiogenesis of hepatic tumor.

Methods: Ultrasound-emulsification was used to make lipi-nHAP Eighty New Zealand white rabbits underwent implantation of carcinoma cells of the line VX2 into the left lobe of liver. Two weeks later the rabbits underwent catheterization into the gastroduodenal artery so that, and then the rabbits were randomly divided into four equal groups to receive infusion via the hepatic artery of different drugs: physiological saline (Group A), lipiodol (Group B), adriamycin + lipiodol (Group C), and lipi-nHAP (Group D).

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