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http://dx.doi.org/10.3324/haematol.2021.278779 | DOI Listing |
Ann Ital Chir
December 2024
Department of Anesthesiology & Key Laboratory of Clinical Science and Research, Zhongda Hospital, Southeast University, 210009 Nanjing, Jiangsu, China.
Aim: Postoperative delirium (POD) is a common complication with significant adverse effects in elderly patients. Electroencephalography (EEG) provides a promising approach for predicting the risk of POD. This study aims to elucidate the correlation between intraoperative EEG spectrum and the incidence of POD in elderly patients undergoing orthopedic surgery.
View Article and Find Full Text PDFDiabetes Obes Metab
December 2024
Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Aim: We aimed to identify the characteristics of patients with diabetes who can derive cognitive benefits from intensive blood pressure (BP) treatment using machine learning methods.
Materials And Methods: Using data from the Action to Control Cardiovascular Risk in Diabetes Memory in Diabetes (ACCORD-MIND) study, 1349 patients with type 2 diabetes who underwent BP treatment (intensive treatment targeting a systolic BP <120 mmHg vs. standard treatment targeting <140 mmHg) were included in the machine learning analysis.
Risk Manag Healthc Policy
December 2024
Psychiatry, Aalborg University Hospital, Aalborg, Denmark.
Introduction: The COVID-19 pandemic disrupted global economies, social structures, and public health systems. However, Denmark stood out as an exception, maintaining steady life expectancy during this period. This raises important questions about the factors that strengthened the Danish healthcare system and society against the pandemic's challenges.
View Article and Find Full Text PDFFront Neurosci
December 2024
Department of Neurology, Dongyang People's Hospital, Affiliated to Wenzhou Medical University, Dongyang, China.
Background And Aim: This study aimed to develop a predictive model for early neurological deterioration (END) in branch atheromatous disease (BAD) affecting the lenticulostriate artery (LSA) territory using machine learning. Additionally, it aimed to explore the underlying mechanisms of END occurrence in this context.
Methods: We conducted a retrospective analysis of consecutive ischemic stroke patients with BAD in the LSA territory admitted to Dongyang People's Hospital from January 1, 2018, to September 30, 2023.
Front Psychol
December 2024
Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Objective: To assess the prevalence of depression, anxiety, insomnia, and somatic symptom disorder (SSD) in patients with benign and malignant sinonasal tumors.
Materials And Methods: Pretreatment patients with sinonasal tumors were prospectively recruited on the rhinology ward of a tertiary hospital from July 2021 to March 2022. The electronic questionnaire which contains the rhinological symptom scale, the 22-item Sinonasal Outcome Test (SNOT-22) Scale, the Patient Health Questionnaire-9 (PHQ-9), the Generalized Anxiety Disorder-7 (GAD-7), the Insomnia Severity Index (ISI), and the Patient Health Questionnaire-15 (PHQ-15) was filled out by patients at admission.
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