Publications by authors named "Zhi-li Liu"

Purpose: The emergence of the SARS-CoV-2 Omicron variant has posed a significant global public health challenge. Elucidating the laboratory profiles of individuals infected with this variant is crucial for assessing organ damage. This study aimed to investigate the variations in liver function tests and their correlation with demographic characteristics and inflammatory markers in patients with early Omicron variant infections.

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  • The study investigates lumbar disc herniation (LDH) prevalence among patients with low back pain, using magnetic resonance imaging (MRI) data from outpatient clinics in 2022.
  • Out of 8,161 patients, 4,496 were diagnosed with LDH, resulting in a 55.1% prevalence, with surgical treatment offered to 15.2% of those diagnosed.
  • Results showed that patients with both low back pain and lower limb symptoms had the highest LDH diagnosis rate (82.1%), while males had a slightly higher prevalence (58.8%) compared to females (52.4%).
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Study Design: Retrospective cohort study.

Objective: To evaluate the effectiveness of pedicle screw trajectory planning based on artificial intelligence (AI) software in patients with different levels of bone mineral density (BMD).

Summary Of Background Data: AI-based pedicle screw trajectory planning has potential to improve pullout force (POF) of screws.

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Background: Sepsis, a complex and life-threatening disease, poses a significant global burden affecting over 48 million individuals. Recently, it has been reported that programmed death-ligand 1 (PD-L1) expressed on neutrophils is involved in both inflammatory organ dysfunction and immunoparalysis in sepsis. However, there is a dearth of strategies to specifically target PD-L1 in neutrophils in vivo .

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Background: This study aimed to investigate alterations in serum markers [creatine kinase-MB (CKMB), cardiac troponin T (cTnT), myoglobin (Myo), B-type natriuretic peptide (BNP), D-dimer (DD), procalcitonin (PCT) and interleukin-6 (IL6)] in early Omicron variant infection and analyzed their correlation with clinical parameters.

Methods: Retrospective analysis of 1,138 mild/asymptomatic cases at Tianjin First Central Hospital, including age, gender, serum markers and nucleic acid test results. Statistical analysis used SPSS software, version 24.

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  • The study developed a predictive nomogram model to forecast the recollapse of fractured vertebrae in patients with thoracolumbar fractures after undergoing posterior pedicle screw fixation.
  • Researchers reviewed 224 patients, finding that 20.5% experienced vertebral recollapse and identified key predictors such as age and injury severity.
  • The nomogram showed strong performance metrics, including a high area under the curve (0.891), suggesting it can aid clinicians in making informed treatment decisions.
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The variation and correlation of leaf economics and vein traits are crucial for predicting plant ecological strategies under different environmental changes. However, correlations between these two suites of traits and abiotic factors such as soil water and nitrogen content remain ambiguous. We measured leaf economics and vein traits as well as soil water and nitrogen content for two different shade-tolerant species ( and ) in four mixed broadleaved-Korean pine () forests along a latitudinal gradient in Northeast China.

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Background: Sepsis is a critical systemic inflammatory syndrome which usually leads to multiple organ dysfunction. Caffeic acid (CA), a phenolic compound derived from various plants, has been proved to be essential in neuroprotection, but its role in septic organ damage is unclear. This research aimed to investigate whether CA protects against organ injury in a mouse model of cecal ligation and puncture (CLP).

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Sparganosis is a rare parasitic infection caused by plerocercoid tapeworm larvae. We described a case of a 27-year-old man presenting with numbness in both legs and masses in the right lung and spine, initially thought to have spinal metastasis from lung cancer. However, after pathological and parasitological examinations, the patient was found to have spinal sparganosis, likely due to a history of consuming raw frogs.

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Objective: To identify the risk factors for developing postoperative pulmonary infection in patients with acute cervical spinal cord injury (CSCI), and to develop a nomogram prediction model.

Methods: Patients with CSCI who were admitted to 3 different medical centers between July 2011 and July 2021 were included in this study. All patients underwent cervical spine surgery.

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Purpose: The purpose of this study was to analyze the clinical and radiological outcomes of two different zero-profile spacers (ROI-C and anchor-C) in contiguous two-level ACDF for CDDD patients.

Methods: We retrospectively analyzed patients who underwent contiguous two-level ACDF due to CDDD between January 2015 and December 2020 in our hospital. Patients who received ROI-C and anchor-C were included as the study groups, and those who underwent plate-cage construct (PCC) were included as the control group.

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  • The study aimed to create an effective machine learning model to predict postoperative pulmonary infections in spinal cord injury patients to help doctors make better decisions.
  • Data from 870 patients was analyzed, using 70% to train the model and 30% to test it, with the Random Forest (RF) algorithm delivering the best results (AUC = 0.721).
  • Key risk factors identified included age, ASIA scale, and tracheotomy, underscoring the need for careful monitoring of these elements post-surgery.
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To understand the distribution pattern of leaflet traits in compound-leaved along with phyllotaxy, we selected three compound-leaved trees with opposite phyllotaxy in Xiaoxing' an Mountains, , , , as the research objects. We measured leaf thickness, leaf area, specific leaf area, leaf dry matter content, palisade tissue thickness, spongy tissue thickness, ratio of palisade tissue thickness to spongy tissue thickness, and carbon content, nitrogen content, phosphorus content of leaflets at different phyllotaxy positions. We analyzed the variation of leaflet traits with phyllotaxy and the influence of phyllotaxy on the inner relationships between leaflet traits.

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  • The study analyzed the relationship between postoperative hemoglobin levels and outcomes in patients who had lumbar interbody fusion surgery, focusing on identifying risk factors for low hemoglobin levels.
  • The analysis involved 726 patients and categorized them based on their hemoglobin levels post-surgery, revealing that those with lower levels experienced more complications, longer hospital stays, and higher costs.
  • A predictive nomogram model was developed based on identified risk factors and showed strong accuracy, indicating its potential for clinical application in predicting low postoperative hemoglobin levels.
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Background: Unplanned reoperation is commonly performed due to postoperative complications. Previous studies have reported the incidence of unplanned reoperation following lumbar spinal surgery. But few study focused on the trend of reoperation rates, and the reasons of unplanned reoperation were not clear.

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Purpose: The aim of this study was to established a dynamic nomogram for assessing the risk of bone metastasis in patients with thyroid cancer (TC) and assist physicians to make accurate clinical decisions.

Methods: The clinical data of patients with TC admitted to the First Affiliated hospital of Nanchang University from January 2006 to November 2016 were included in this study. Demographic and clinicopathological parameters of all patients at primary diagnosis were analyzed.

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  • The study focused on assessing the effectiveness of MRI features in diagnosing cervical disc ruptures in patients with traumatic cervical spinal cord injury (TSCI) who showed no signs of fracture or dislocation.
  • Conducted at an affiliated hospital in Nanchang, China, it included 140 patients who underwent anterior cervical surgery between June 2016 and December 2021, with MRI assessments prior to surgery.
  • Results indicated that while many patients had disc ruptures confirmed during surgery, a significant percentage lacked clear MRI evidence; specifically, the presence of high-signal in the posterior ligamentous complex (PLC) was highly predictive for diagnosing these ruptures.
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Purpose: Thoracolumbar fracture is one of the most common fractures of spine. And short-segment posterior fixation including the fractured vertebra (SSPFI) is usually used for the surgical treatment of it. However, the outcomes of SSPFI for different types of thoracolumbar fractures are not clear, and whether it is necessary to perform transpedicular bone grafting is still controversial.

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  • The paper aimed to create a machine learning algorithm to predict bone metastasis in non-small cell lung cancer (NSCLC) and to establish an easy-to-use web predictor based on this algorithm.
  • Researchers analyzed data from over 50,000 NSCLC patients, identifying key risk factors like sex and tumor stage through various statistical methods and six different machine learning models.
  • The XGB algorithm proved to be the most effective model, achieving high accuracy scores, and was used to develop a web tool that might help doctors make better clinical decisions regarding NSCLC patients.
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Purpose: Obstructive sleep apnea (OSA) is a sleep disorder that may lead to cognitive impairment. The primary pathophysiological feature of OSA is chronic intermittent hypoxia (CIH), but the underlying mechanisms of CIH are not known. There have been few studies on the role of ferroptosis, a novel form of programmed cell death, during CIH-induced cognitive impairment.

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Objective: Study of the molecular mechanisms of metastasis is still the research focus for osteosarcoma (OS) prevention. This study investigates the mechanism of valosin-containing protein (VCP) promoting OS metastasis in vitro through autophagy and epithelial-mesenchymal transition (EMT).

Methods: Different cell lines of osteosarcoma (143B and MG63) were adopted in this study.

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Objective: This study used machine learning algorithms to identify critical variables and predict postoperative delirium (POD) in patients with degenerative spinal disease.

Methods: We included 663 patients who underwent surgery for degenerative spinal disease and received general anesthesia. The LASSO method was used to screen essential features associated with POD.

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HELQ plays a key role in DNA damage response and cell-cycle checkpoint regulation. It has been implicated in ovarian and pituitary tumors and may play a role in germ cell maintenance. This study investigated the role of HELQ in lung cancer.

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Background: Osteosarcoma (OS) is one of the malignant bone tumors with strong aggressiveness and poor prognosis. Leucine-rich repeats and immunoglobulin-like domains2 (LRIG2) is closely associated with the poor prognosis of a variety of tumors, but the role of LRIG2 in osteosarcoma and the underlying molecular mechanism remains unclear.

Objective: The aim of this study was to determine the function of LRIG2 in OS and the related molecular mechanism on cell proliferation, apoptosis and migration of OS.

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