Effects of Oxiracetam on Postoperative Delirium in Elderly Patients undergoing Laparoscopic Gastrointestinal Surgery: a Multicenter Randomized Controlled Study

开始日期2022-10-20

申办/合作机构

河北燕达医院

NCT02771301 / Unknown statusN/AIIT

Safety and Efficacy of IDH1R132H-DC Vaccine in Gliomas

This trial is aimed at evaluating the safety and efficacy of IDH1R132H-DC vaccine in glioma with IDH1R132H mutation.

开始日期2016-02-01

申办/合作机构

河北燕达医院

[+1]

NCT02416999 / Unknown statusN/AIIT

Ultra-low Dose Bevacizumab Plus Temozolomide for Recurrent High-grade Gliomas

This study is to evaluate the effectiveness of ultra-low dose Bevacizumab plus Temozolomide for recurrent high-grade gliomas.

开始日期2015-05-01

申办/合作机构

河北燕达医院

[+1]

100 项与河北燕达医院相关的临床结果

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2024-12-01·International Journal of Medical Informatics

Development and validation of machine learning models for predicting cancer-related fatigue in lymphoma survivors

Article

作者: Sun, Fengzhi ; Nie, Wenbo ; Xu, Xiaofang ; Tian, Lv ; Song, Yue ; Pang, Weiping ; Wang, Wenqiu ; Wang, Lisheng ; Zhao, Xia ; Wang, Yiming

BACKGROUNDNew cases of lymphoma are rising, and the symptom burden, like cancer-related fatigue (CRF), severely impacts the quality of life of lymphoma survivors. However, clinical diagnosis and treatment of CRF are inadequate and require enhancement.OBJECTIVEThe main objective of this study is to construct machine learning-based CRF prediction models for lymphoma survivors to help healthcare professionals accurately identify the CRF population and better personalize treatment and care for patients.METHODSA cross-sectional study in China recruited lymphoma patients from June 2023 to March 2024, dividing them into two datasets for model construction and external validation. Six machine learning algorithms were used in this study: Logistic Regression (LR), Random Forest, Single Hidden Layer Neural Network, Support Vector Machine, eXtreme Gradient Boosting, and Light Gradient Boosting Machine (LightGBM). Performance metrics like the area under the receiver operating characteristic (AUROC) and calibration curves were compared. The clinical applicability was assessed by decision curve, and Shapley additive explanations was employed to explain variable significance.RESULTSCRF incidence was 40.7 % (dataset I) and 44.8 % (dataset II). LightGBM showed strong performance in training and internal validation. LR excelled in external validation with the highest AUROC and best calibration. Pain, total protein, physical function, and sleep disturbance were important predictors of CRF.CONCLUSIONThe study presents a machine learning-based CRF prediction model for lymphoma patients, offering dynamic, data-driven assessments that could enhance the development of automated CRF screening tools for personalized management in clinical practice.

2024-05-01·Practical Laboratory Medicine

Correction of plasma fat-soluble vitamin levels by blood lipids in elderly patients with coronary heart disease

Article

作者: Ma, Haina ; Tian, Nannan ; Wang, Xin-Yu ; Liu, Xiangzhi ; Wang, Menghan ; Wang, Li ; Zhen, Chengliang

This study aims to investigate the correlation between plasma fat-soluble vitamin levels and blood lipid in elderly patients with coronary heart disease (CHD). A total of 120 participants were enrolled, including 60 CHD patients and 60 controls without CHD. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used to quantify plasma levels of vitamins A, D₃, E, and K. Data analysis was conducted using the statistical analysis system module of MetaboAnalyst 5.0. The CHD group showed significantly higher levels of plasma total cholesterol (TC), triglycerides (TG), and low-density lipoprotein cholesterol (LDL-C) but not high-density lipoprotein cholesterol (HDL-C) compared to controls. The CHD group exhibited significantly higher plasma levels of VA and VE, positively correlating with TC, TG, and LDL-C. After adjusted by TG levels, the CHD group had significantly lower plasma levels of VA and VE, negatively correlating with TC, TG, and LDL-C. The CHD group also had significantly lower concentrations of VD₃, independent of TG modification, compared to controls. VD₃ negatively correlated with TC, TG, and LDL-C. Elderly individuals with CHD display abnormal blood lipid metabolism, and fat-soluble vitamins adjusted by TG levels can more accurately and timely response to implicit fat-soluble vitamins deficiency in CHD patients.

2022-01-01·Contrast Media & Molecular Imaging

Analysis of Clinical Manifestations and Imaging of COVID‐19 Patients in Intensive Care

Article

作者: Chang, Yuejin ; Chen, Lingling ; Wu, Rui ; Lou, Qiaoqin ; Li, Lihong ; Feng, Xiaofei ; Pan, Jinbo ; Yao, Yongwei ; Wang, Zhangli

Objective. The study aims to summarize and analyze the clinical and CT findings of severe COVID‐19 patients. Methods. From February 11 to March 31, 2020, 61 COVID‐19 patients in intensive care in the E1‐3 ward of Tongji Hospital were analyzed retrospectively. Results. The main clinical manifestations were cough, expectoration in 56 cases (91.8%), shortness of breath, chest tightness in 48 cases (78.7%), fever in 61 cases (100%), muscle ache and weakness in 40 cases (65.6%), diarrhea or vomiting in 8 cases (13.1%), and headache in 4 cases (6.6%). After admission, the leukocyte count was normal in 40 cases (57.7%), higher in 9 cases (15.4%), and lower in 12 cases (26.9%). The lymphocyte count decreased in 53 cases (86.9%). CRP was increased in 29 cases (47.5%); PCT was increased in 15 cases (24.6%); ESR was increased in 38 cases (62.3%); D‐dimer increased in 39 cases (63.9%); ALT/AST increased in 40 cases (65.6%); CK/CK‐MB increased in 8 cases (13.1%); troponin I increased in 6 cases (9.8%); NT‐proBNP increased in 35 cases (57.4%); IL‐1 increased in 5 cases (8.2%); IL‐2 receptor increased in 28 cases (45.9%); IL‐6 increased in 23 cases (37.7%); IL‐8 increased in 15 cases (24.6%); IL‐10 increased in 12 cases (19.7%); and NTF increased in 22 cases (36.1%). The chest CT images showed that 38 cases (65.5%) of right lung lesions were more extensive than those of left lung lesions, 20 cases (34.5%) of left lung lesions were more extensive than those of right lung lesions, 42 cases (72.5%) of lower lobe lesions were more extensive than those of upper lobe lesions, 6 cases (10.3%) of upper lobe lesions were more extensive than those of lower lobe lesions, and 10 cases (17.2%) of upper and lower part lesions were roughly the same. Ground‐glass opacity (GGO) was found in 12 cases (20.7%); GGO with focal consolidation in 38 cases (65.5%); small patchy edge fuzzy density increased in 24 cases (41.4%); large consolidation in 20 cases (34.5%); reticular or fibrous cord in 54 cases (93.1%); and air bronchogram in 8 cases (13.8%). Conclusions. COVID‐19 patients in intensive care have no specific clinical manifestation and CT findings. However, analysis and summary of relevant data can help us assess the severity of the disease, decide the timing of treatment, and predict prognosis.

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