Three-dimensional digital model of the facial nerve assisted in the excision of benign parotid tumors based on 3D-DESS-WE-MRI.

This study proposes a novel surgical technique for the excision of benign parotid tumors, utilizing a extracapsular dissection guided by a three dimensional digital model of the facial nerve(3DFN-ECD) and compares its clinical efficacy with the extracapsular dissection (ECD) method. This prospective study included 68 patients with benign parotid tumors. The control group (40 patients) received the ECD treatment, while the experimental group (28 patients), underwent the 3DFN-ECD approach proposed in this study.

The prediction of the survival in patients with severe trauma during prehospital care: Analyses based on NTDB database.

Purpose: Traumas cause great casualties, accompanied by heavy economic burdens every year. The study aimed to use ML (machine learning) survival algorithms for predicting the 8-and 24-hour survival of severe traumas.

Methods: A retrospective study using data from National Trauma Data Bank (NTDB) was conducted.

Effect of continuous hypertonic saline infusion on clinical outcomes in patients with traumatic brain injury.

Osmotic therapy has been recognized as an important treatment option for patients with traumatic brain injury (TBI). Nevertheless, the effect of hypertonic saline (HTS) remains unknown, as findings are primarily based on a large database. This study aimed to elucidate the effect of HTS on the clinical outcomes of patients with TBI admitted to the intensive care unit (ICU).

Single-cell RNA sequencing reveals tumor heterogeneity within salivary gland pleomorphic adenoma: A preliminary study.

Background: Salivary gland pleomorphic adenoma (SPA) is a common neoplasm of salivary glands that displays remarkable histological diversity. Previous studies have demonstrated the involvement of gene rearrangements and cytoskeleton-remodeling-related myoepithelial cells in SPA tumorigenesis. Cytoskeleton remodeling is necessary for epithelial-mesenchymal transition (EMT), a key process in tumor progression.

Identification and validation of Rab11a in Rat orofacial inflammatory pain model induced by CFA.

Orofacial pain (OFP) is a clinically very common and the most troubling condition; however, there is few effective way to relieve OFP. Rab11a, a small molecule guanosine triphosphate enzyme, is one of the Rab member family playing a vital role in intracellular endocytosis and the pain process. Therefore, we investigated the hub genes of rat OFP model induced by Complete Freund's Adjuvant (CFA) via re-analyzing microarray data (GSE111160).

Where are we heading in post-China angioplasty and stenting for symptomatic intracranial severe stenosis era?

Symptomatic intracranial atherosclerotic disease (ICAD) is a globally challengeable disease. In the past 20 years, people have made a huge effort to deal with the problem including using endovascular technology and aggressive medical therapy. However, the efficacy of these methods seemed to be limited.

Targeted nutritional intervention with enhanced recovery after surgery for carotid endarterectomy: A prospective clinical trial.

Ischemic stroke is the most common cerebrovascular disease, and vascular obstruction is an important cause of this disease. As the main method for the management of carotid artery stenosis, carotid endarterectomy (CEA) is an effective and preventive treatment measure in ischemic cerebrovascular disease. This study aims to propose the application of a new enhanced recovery after surgery (ERAS) nutritional support regimen in CEA, which can significantly improve the perioperative nutritional status of patients.

Machine Learning Prediction Algorithm for In-Hospital Mortality following Body Contouring.

Background: Body contouring is a common procedure, but it is worth attention because of concern for a variety of complications, and even the potential for death. As a result, the purpose of this study was to determine the key predictors following body contouring and create models for the risk of mortality using diverse machine learning (ML) models.

Methods: The National Inpatient Sample database from 2015 to 2017 was queried to identify patients undergoing body contouring.

Temporal trends and outcomes in acute ischaemic stroke patients with a current or historical diagnosis of cancer.

Background And Purpose: The aim was to evaluate the temporal trends, characteristics and in-hospital outcomes of patients hospitalized with acute ischaemic stroke (AIS) between those with and without current or historical malignancies.

Methods: Adult hospitalizations with a primary diagnosis of AIS were identified from the National Inpatient Sample database 2007-2017. Logistic regression was used to compare the differences in the utilization of AIS interventions and in-hospital outcomes.

Impact of Early Tracheostomy on Clinical Outcomes in Trauma Patients Admitted to the Intensive Care Unit: A Retrospective Causal Analysis.

Objectives: To assess the indications, timing, and clinical outcomes that result from the early tracheostomy (ET) administration, by causal inference models.

Design: A retrospective observational study.

Setting: Multiinstitutional intensive care unit in the United States PARTICIPANTS: The study comprised 626 trauma patients.

Temporal Trend and Clinical Outcomes in HIV and Non-HIV Patients following Liposuction: A Propensity-Matched Analysis.

Background: Because of the availability of highly active antiretroviral therapy, individuals infected with human immunodeficiency virus (HIV) are enjoying greater longevity with chronic conditions including abnormal adipose distribution. However, prior data on postoperative outcomes of liposuction in HIV-positive patients were limited by small sample size. Therefore, the authors aimed to compare differences in temporary trend, clinical characteristics, and outcomes between patients with and without HIV who underwent liposuction.

A Machine Learning Approach for the Prediction of Severe Acute Kidney Injury Following Traumatic Brain Injury.

Background: Acute kidney injury (AKI), a prevalent non-neurological complication following traumatic brain injury (TBI), is a major clinical issue with an unfavorable prognosis. This study aimed to develop and validate machine learning models to predict severe AKI (stage 3 or greater) incidence in patients with TBI.

Methods: A retrospective cohort study was conducted by using two public databases: the Medical Information Mart for Intensive Care IV (MIMIC)-IV and the eICU Collaborative Research Database (eICU-CRD).

Low-grade intraductal carcinoma of accessory parotid gland: a case report.

Salivary low-grade intraductal carcinoma (LGIDC) is a rare tumor that mainly occurs in the parotid. Thus far, LGIDC originating from the accessory parotid gland has been rarely reported in domestic and foreign literature. This study reports a case of LGIDC of the accessory parotid gland and a brief summary of its clinical features, diagnostic points, and treatment by reviewing the literature, with the aim of providing a reference for clinical practice and further research.

Mandibular Reconstruction With the Contralateral Vascularized Iliac Flap Using Individual Design: Iliac Crest Used to Reconstruct the Ramus and the Anterior Border of the Iliac Wing Used to Reconstruct the Inferior Border: A Case Report.

Mandible defects resulting from resection of benign or malignant lesions, trauma, or radionecrosis are commonly encountered in the oral and maxillofacial department. Vascularized bone flaps, in general, provide the best functional and aesthetic outcome. The iliac crest provides a large piece of curved cortico-cancellous bone, measuring 6-16 cm in length.

Machine learning approach for the prediction of 30-day mortality in patients with sepsis-associated encephalopathy.

Objective: Our study aimed to identify predictors as well as develop machine learning (ML) models to predict the risk of 30-day mortality in patients with sepsis-associated encephalopathy (SAE).

Materials And Methods: ML models were developed and validated based on a public database named Medical Information Mart for Intensive Care (MIMIC)-IV. Models were compared by the area under the curve (AUC), accuracy, sensitivity, specificity, positive and negative predictive values, and Hosmer-Lemeshow good of fit test.

Association Between the Clivus Slope and Patient-Reported Japanese Orthopaedic Association (PRO-JOA) Scores in Patients with Basilar Invagination: A Retrospective Study.

Aim: To determine a quantitative relationship between the postoperative clivus slope (CS) and the change in the Patient-Reported Japanese Orthopaedic Association (PRO-JOA) scores following reduction surgery of the basilar invagination (BI).

Material And Methods: A single center retrospective study was conducted. Patients who met the inclusion and exclusion criteria at our hospital during the period from August 2015 to August 2020 were identified.

Alcohol Abuse Associated With Increased Risk of Angiographic Vasospasm and Delayed Cerebral Ischemia in Patients With Aneurysmal Subarachnoid Hemorrhage Requiring Mechanical Ventilation.

Objective: Although alcohol abuse has been indicated to cause cerebral aneurysm development and rupture, there is limited data on the impact of alcohol abuse on outcomes after an aneurysmal subarachnoid hemorrhage (aSAH). This study aims to investigate whether alcohol abuse increases the risk of angiographic vasospasm and delayed cerebral ischemia (DCI) in critically ill patients with aSAH.

Methods: We conducted a secondary analysis based on a retrospective study in a French university hospital intensive care unit (ICU).

Group-based trajectory modeling of intracranial pressure in patients with acute brain injury: Results from multi-center ICUs, 2008-2019.

Objective: The objective of the study was to characterize the longitudinal, dynamic intracranial pressure (ICP) trajectory in acute brain injury (ABI) patients admitted to intensive care unit (ICU) and explore whether it added sights over traditional thresholds in predicting outcomes.

Methods: ABI patients with ICP monitoring were identified from two public databases named Medical Information Mart for the Intensive Care (MIMIC)-IV and eICU Collaborative Research Database (eICU-CRD). Group-based trajectory modeling (GBTM) was employed to identify 4-h ICP trajectories in days 0-5 post-ICU admission.

Comprehensive analysis of 65 patients with Castleman disease in a single center in China.

This study aimed to investigate the epidemiologic, clinical, pathological characteristics, and treatment of patients with Castleman disease (CD) in a single center in China. We retrospectively analyzed the data of 65 Chinese CD patients, divided into unicentric CD (UCD) and multicentric CD (MCD) groups, and also microscopic subtypes as hypervascular (HV), plasmacytic (PC) and Mixed. Based on whether HHV-8 infection existed, MCD was subdivided into HHV-8-associated MCD and idiopathic Castleman disease (iMCD).

Tangential elastic contact model of the cylindrical contact with different axis crossing angles.

In this paper, a cylinder contact model with different axis crossing angles is proposed, and the axis crossing angle is introduced into the normal and tangential constitutive equations. This paper uses the method of formula derivation to establish the analytical solution of the tangential elastic contact of the cylinder with different axis cross angles, and gives the relational expression of the tangential load and the tangential displacement. The finite element method (FEM) is used to verify the tangential displacement load curve and the tangential stiffness curve of the two cylinders.

Comparative Analysis Between Machine Learning Algorithms and Conventional Regression in Predicting the Prognosis of Patients with Basilar Invagination: A Retrospective Cohort Study.

Aim: To identify predictors of basilar invagination (BI) prognosis and compare diagnostic properties between logistic modeling and machine learning methods.

Material And Methods: We conducted a single-center retrospective study. Patients at our hospital who met the inclusion and exclusion criteria were identified between August 2015 and August 2020 for inclusion.

A Machine Learning Approach for the Prediction of Traumatic Brain Injury Induced Coagulopathy.

Traumatic brain injury-induced coagulopathy (TBI-IC), is a disease with poor prognosis and increased mortality rate. Our study aimed to identify predictors as well as develop machine learning (ML) models to predict the risk of coagulopathy in this population. ML models were developed and validated based on two public databases named Medical Information Mart for Intensive Care (MIMIC)-IV and the eICU Collaborative Research Database (eICU-CRD).