Publications by authors named "Ruoran Wang"

Background: The thrombocytopenia influences prognoses of critically ill patients. There are few studies exploring the prognostic value of thrombocytopenia among ICH patients. We perform this study to explore the correlation between thrombocytopenia at different timepoints of hospitalizations and mortality of ICH.

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Background: The association between ABO blood types and outcome of aneurysm subarachnoid hemorrhage (aSAH) has not reached a conclusion. This study was performed to testify the difference of outcome between ABO blood types.

Methods: 663 aSAH patients hospitalized in the West China hospital were enrolled.

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Article Synopsis
  • Coagulopathy in traumatic brain injury (TBI) patients is linked to a poor prognosis, and this study investigates how serum magnesium levels may influence this risk.
  • Researchers analyzed data from TBI patients to understand factors related to coagulopathy, revealing a U-shaped relationship between magnesium levels and the condition.
  • Results indicate that both low (<1.7 mg/dL) and high (>2.2 mg/dL) magnesium levels increase the likelihood of coagulopathy, suggesting the need for medical attention regarding magnesium levels in TBI patients.
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Background: Mild traumatic brain injury (mTBI) comprises a majority of traumatic brain injury (TBI) cases. While some mTBI would suffer neurological deterioration (ND) and therefore have poorer prognosis. This study was designed to develop the predictive model for the ND among mTBI using machine learning algorithms.

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Background: Traumatic brain injury (TBI) is a global health concern that often leads to poor prognosis. We designed this study to explore whether thiamine use is associated with a better prognosis of TBI.

Methods: TBI patients selected from the Medical Information Mart for Intensive Care-III database were included in the study.

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Background: Aneurysmal subarachnoid hemorrhage (aSAH) patients typically have poor prognoses. The anion gap (AG) has been proven to correlate with mortality in various critically ill patients. However, hypoalbuminemia can lead to underestimations of the true anion gap levels.

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Background: The Endothelial Activation and Stress Index (EASIX) is a novel marker of endothelial injury and correlates with survival of various patients. The endothelial dysfunction plays an important role on the pathophysiological process of traumatic brain injury (TBI). This study was designed to explore the prognostic value of EASIX on TBI patients.

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Background: Traumatic brain injury (TBI) patients suffer high risks of mortality. Ondansetron has been verified to be effective in improving the prognosis of some kinds of critically ill patients. We design this study to explore whether ondansetron use is associated with lower risks of mortality among TBI patients.

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In diabetes, macrophages and inflammation are increased in the islets, along with β-cell dysfunction. Here, we demonstrate that galectin-3 (Gal3), mainly produced and secreted by macrophages, is elevated in islets from both high-fat diet (HFD)-fed and diabetic db/db mice. Gal3 acutely reduces glucose-stimulated insulin secretion (GSIS) in β-cell lines and primary islets in mice and humans.

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Background: Acute kidney injury (AKI) is prevalent in hospitalized patients with traumatic brain injury (TBI), and increases the risk of poor outcomes. We designed this study to develop a visual and convenient decision-tree-based model for predicting AKI in TBI patients.

Methods: A total of 376 patients admitted to the emergency department of the West China Hospital for TBI between January 2015 and June 2019 were included.

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Impeded autophagy can impair pancreatic β cell function by causing apoptosis, of which DAP-related apoptosis-inducing kinase-2 (DRAK2) is a critical regulator. Here, we identified a marked up-regulation of DRAK2 in pancreatic tissue across humans, macaques, and mice with type 2 diabetes (T2D). Further studies in mice showed that conditional knockout (cKO) of DRAK2 in pancreatic β cells protected β cell function against high-fat diet feeding along with sustained autophagy and mitochondrial function.

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Purpose: We aimed to investigate the association between the early mean arterial pressure (MAP)/norepinephrine equivalent dose (NEQ) index and mortality risk in patients with shock on vasopressors and further identify the breakpoint value of the MAP/NEQ index for high mortality risk. Methods: Based on the Medical Information Mart for Intensive Care IV database, we conducted a retrospective cohort study involving 19,539 eligible intensive care unit records assigned to three groups (first tertile, second tertile, and third tertile) by different MAP/NEQ indexes within 24 h of intensive care unit admission. The study outcomes were 7-, 14-, 21-, and 28-day mortality.

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Cancer patients may have increased risk of cardiovascular mortality than general population. We designed this study to investigate the incidence and risk factors of cardiovascular mortality in meningioma patients. Meningioma patients recorded in Surveillance Epidemiology and End Results (SEER) database between 2004 and 2016 were eligible for this study.

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Background: The base deficit, international normalized ratio, and Glasgow Coma Scale (BIG) score was previously developed to predict the outcomes of pediatric trauma patients. We designed this study to explore and improve the prognostic value of the BIG score in adult patients with traumatic brain injury (TBI).

Methods: Adult patients diagnosed with TBI in a public critical care database were included in this observational study.

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The immunomodulatory effect of divalent manganese cations (Mn ), such as activation of the cGAS-STING pathway or NLRP3 inflammasomes, positions them as adjuvants for cancer immunotherapy. In this study, it is found that trace Mn ions, bound to bovine serum albumin (BSA) to form Mn@BSA nanocomplexes, stimulate pro-inflammatory responses in human- or murine-derived macrophages through TLR4-mediated signaling cascades. Building on this, the assembly of Mn@BSA nanocomplexes to obtain nanowire structures enables stronger and longer-lasting immunostimulation of macrophages by regulating phagocytosis.

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Lung cancer is the leading cause of cancer mortality worldwide. Preclinical studies in lung cancer hold the promise of screening for effective antitumor agents, but mechanistic studies and drug discovery based on 2D cell models have a high failure rate in getting to the clinic. Thus, there is an urgent need to explore more reliable and effective lung cancer models.

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Platelet count is a key component of sepsis severity score. However, the predictive value of the platelet count at admission for mortality in sepsis remains unclear. We designed a retrospective observational study of patients with sepsis admitted to our hospital from January 2017 to September 2021 to explore the predictive value of platelet count at admission for mortality.

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Background: Ventilator associated pneumonia (VAP) is a common complication and associated with poor prognosis of traumatic brain injury (TBI) patients.

Objectives: This study was conducted to explore the predictive performance of different machine-learning algorithms for VAP in TBI patients.

Methods: TBI patients receiving mechanical ventilation more than 48 hours from the Medical Information Mart for Intensive Care-III (MIMIC-III) database were eligible for the study.

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The fibrosis-4 score is a marker of liver fibrosis and has been confirmed to be associated with the prognosis of various diseases. There is no study exploring the prognostic value of the fibrosis-4 score in traumatic brain injury (TBI) patients. We design this study to explore the association between the fibrosis-4 score and mortality from TBI.

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Background: Nosocomial pneumonia commonly develops in aneurysmal subarachnoid hemorrhage (aSAH) patients and is associated with poor prognosis of these patients. This study is designed to verify the predictive value of procalcitonin (PCT) on nosocomial pneumonia in aSAH patients.

Methods: 298 aSAH patients received treatments in the neuro-intensive care unit (NICU) of West China hospital were included.

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Background: Acute kidney injury (AKI) commonly develops among traumatic brain injury (TBI) patients and causes poorer outcomes. We perform this study to explore the relationship between serum magnesium and the risk of AKI among TBI.

Methods: TBI patients recorded in the Medical Information Mart for Intensive Care-III database were eligible for this research.

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Background: Evaluating risk of poor outcome for Traumatic Brain Injury (TBI) in early stage is necessary to make treatment strategies and decide the need for intensive care. This study is designed to verify the prognostic value of serum cystatin C in TBI patients.

Methods: 415 TBI patients admitted to West China hospital were included.

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Objective: Spinal cord cavernous malformation (SCCM) is a rare vascular lesion, and the treatment strategy remains controversial at present. The goal of this retrospective study was to analyze the surgical outcomes of the SCCM and to find more appropriate treatment strategies for a better prognosis.

Method: A retrospective review of 98 patients with SCCM from 2009 to 2018 was conducted at the neurosurgical center of our hospital.

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Objective: We report our experience with the use of hemilaminectomy approach for the removal of benign intraspinal tumors.

Method: A retrospective review of 1,067 patients who underwent hemilaminectomy in our hospital between 2013 and 2019 was analyzed. Baseline medical data were collected.

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Synopsis of recent research by authors named "Ruoran Wang"

  • - Ruoran Wang's research primarily focuses on the prognostic factors and predictive modeling related to traumatic brain injury (TBI) and other neurological conditions, utilizing data-driven approaches to improve patient outcomes.
  • - Key findings include the identification of serum magnesium levels, thiamine use, and the Endothelial Activation and Stress Index (EASIX) as significant markers influencing the coagulopathy and mortality risk in TBI patients.
  • - Wang's work also encompasses the development of machine learning algorithms for predicting neurological deterioration in mild traumatic brain injury (mTBI) patients, showcasing innovative methodologies to enhance clinical decision-making in critical care settings.