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相关概念视频

Insulin Formulations: Types and Delivery01:27

Insulin Formulations: Types and Delivery

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Insulin preparations are categorized by their duration of action into short-acting and long-acting types. Two strategies are used to modify insulin's absorption and pharmacokinetic profile: slowing the absorption post-subcutaneous injection, or altering human insulin's amino acid sequence or protein structure. These changes retain the insulin's ability to bind to the insulin receptor, but alter its behavior in solution or after injection.
Short-acting insulins are divided into...
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Pulse rhythm01:30

Pulse rhythm

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Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
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Glucose Homeostasis: Pancreatic Islets and Insulin Secretion01:27

Glucose Homeostasis: Pancreatic Islets and Insulin Secretion

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The pancreatic islets comprising only 1%-2% of the volume are highly vascularized and innervated mini-organs. They contain five endocrine cell types, including β cells that secrete insulin, which is synthesized as a single polypeptide chain, preproinsulin, processed to proinsulin, and finally to insulin and C-peptide. This process is complex and regulated, involving the Golgi complex, the endoplasmic reticulum, and the secretory granules of the β cell.
Insulin and C-peptide are...
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Insulin: Dosing Regimen and Adverse Effects01:16

Insulin: Dosing Regimen and Adverse Effects

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Insulin-replacement therapy usually includes both long-acting insulin (basal) and short-acting insulin (to cater to postprandial needs). In a diverse group of type 1 diabetes patients, the average daily insulin dose is typically 0.5-0.7 units/kg body weight. However, obese patients and pubertal adolescents may need more due to insulin resistance.
The basal dose constitutes about 40%-50% of the total daily dose, with the rest as premeal insulin. The mealtime insulin dose should mirror...
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Diabetes: Symptoms, Diagnosis, and Complications01:15

Diabetes: Symptoms, Diagnosis, and Complications

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For most patients, experiencing several weeks of polyuria, polydipsia, fatigue, and significant weight loss may indicate the presence of diabetes. Furthermore, adults displaying the phenotypic appearance of type 2 diabetes (particularly those who are obese and not initially insulin-requiring), may have islet cell autoantibodies, suggesting autoimmune-mediated β cell destruction and a diagnosis of latent autoimmune diabetes of adults (LADA). The categorization of glucose homeostasis is...
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Hormones Regulating Blood Glucose01:16

Hormones Regulating Blood Glucose

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Insulin is released by beta cells of the pancreas when blood glucose levels are high. It facilitates glucose absorption and utilization in insulin-dependent cells with insulin receptors on their plasma membranes. Insulin promotes glucose uptake by increasing the number of glucose transport proteins in the cell membrane, allowing glucose to enter the cell. As a result, glucose utilization and ATP production are enhanced.
In addition to accelerating glucose uptake and utilization, insulin has...
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相关实验视频

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在长期CGM和胰岛素数据中识别模式 - - 一项探索性研究

Iben E Giese1, Morten H Jensen1,2, Thomas Kronborg1,3

  • 1Department of Health Science and Technology, Aalborg University, Gistrup, Denmark.

Studies in health technology and informatics
|August 23, 2024
PubMed
概括

连续血糖监测器 (CGM) 和智能胰岛素笔 (SIP) 为2型糖尿病管理产生了宝贵的数据. 这项研究调查了这些健康数据中的长期模式,以改善患者护理.

关键词:
长期数据 长期数据连续监测葡萄糖的监测器.模式 模式 模式 模式 模式这是智能胰岛素笔.

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科学领域:

  • 内分泌学 在内分泌学.
  • 生物医学信息学 生物医学信息学
  • 糖尿病 技术 技术

背景情况:

  • 2型糖尿病的管理越来越依赖于数字健康工具.
  • 连续血糖监测器 (CGM) 和智能胰岛素笔 (SIP) 是产生大量患者数据的关键技术.
  • 了解长期数据模式对于优化糖尿病护理至关重要.

研究的目的:

  • 在连续血糖监测器 (CGM) 生成的数据中探索潜在的长期使用模式.
  • 识别智能胰岛素笔 (SIP) 数据中的趋势和相关性.
  • 调查CGM和SIP数据在2型糖尿病管理中的联合实用性.

主要方法:

  • 分析CGM设备的匿名,纵向数据.
  • 检查SIP设备的使用和剂量数据.
  • 模式识别算法的应用,以识别组合数据集中的趋势.

主要成果:

  • 确定了CGM和SIP的独特的长期使用配置文件.
  • 观察到特定的CGM模式与胰岛素剂量行为之间的相关性.
  • 证明了对治疗坚持和有效性的数据驱动洞察力的潜力.

结论:

  • 长期CGM和SIP数据为2型糖尿病自我管理提供了宝贵的见解.
  • 模式分析可以揭示粘附问题,并为个性化干预提供信息.
  • 整合这些设备的数据有望改善血糖控制和患者的治疗结果.