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Specialty: Statistics
Drug: Insulin

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Total 4 results found since Jan 2013.

An Untargeted Lipidomics Study of Acute Ischemic Stroke with Hyperglycemia Based on Ultrahigh-Performance Liquid Chromatography-Mass Spectrometry
This study was to investigate the interrelationship between hyperglycemia and AIS and provided a reference for blood glucose management of AIS patients. The blood glucose level of AIS patients of the present study was controlled by insulin below 180 mg/dL (standard group) and between 80 and 130 mg/dL (management group). And the fasting venous blood samples were collected for determination of blood glucose level, homeostasis model assessment of insulin resistance (HOMA-IR), peptide C, and basal insulin level. Furthermore, lipids of the blood samples were detected using metabolomics, so as to clarify the similarities and dif...
Source: Computational and Mathematical Methods in Medicine - September 5, 2022 Category: Statistics Authors: Jia Guo Hailan Wang Xin Jiang Yan Wang Zhihao Zhang Qingbin Liao Jia Xu Source Type: research

Influence of Optimal Management of Hyperglycemia and Intensive Nursing on Blood Glucose Control Level and Complications in Patients with Postoperative Cerebral Hemorrhage
CONCLUSION: Optimal management of hyperglycemia and intensive nursing can effectively control the blood sugar level of patients after cerebral hemorrhage, reducing insulin dosage, and the occurrence of hypoglycemia, pulmonary infection, and rebleeding.PMID:36072767 | PMC:PMC9444437 | DOI:10.1155/2022/8553539
Source: Computational and Mathematical Methods in Medicine - September 8, 2022 Category: Statistics Authors: Dandan Sun Liang Sun Fang Su Source Type: research

Efficacy Analysis of Team-Based Nursing Compliance in Young and Middle-Aged Diabetes Mellitus Patients Based on Random Forest Algorithm and Logistic Regression
CONCLUSION: The team-based nursing model has a good effect on the blood glucose control level of middle-aged and young diabetic patients. Age, BMI, and glucose values are risk factors for diabetes. The SF algorithm has a good effect on predicting the risk of diabetes, which is worthy of further clinical application.PMID:35936376 | PMC:PMC9355774 | DOI:10.1155/2022/3882425
Source: Computational and Mathematical Methods in Medicine - August 8, 2022 Category: Statistics Authors: Dongni Qian Hong Gao Source Type: research