通过Sugar fit的-Tech/ ai驱动平台,每日个性化生活指导和专家医疗建议,一名患有多种慢性合并症的长期T2DM患者的所有参数都有显著改善

Chhavi Mehra, A. M. Raymond, S. L
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摘要

背景:2型糖尿病(T2DM)不仅是死亡的主要原因之一,而且其对医疗成本和负担的影响每年都变得不可持续。生活质量和预期寿命都受到这种慢性代谢疾病的显著影响。为了帮助控制血糖水平,2型糖尿病患者在专业人士的指导下坚持自我管理方案。现在有各种各样的技术选择来帮助自我管理。方法:我们报告了一例64岁的女性胰岛素依赖型2型糖尿病患者,患有多种合并症,抑郁症,被限制在她的房间里,无法行走约一年。经过六个月的Sugar fit方法,包括日常个性化生活指导,专家医疗建议,技术支持,人工智能驱动的模型,她在每个参数上都显示出巨大的进步。结果:患者在加入糖适前,使用快速胰岛素44个单位,长效及口服降糖药18个单位。患者基线Hba1c为8%;六个月后,它是6.8%所有快速和长期胰岛素停止和口服药物基本上和以前一样。她的肌酐从1.88降至1.37,甘油三酯从1015降至448。她的降压药量降到了50%她每天步行2公里,并积极参加社交活动,抑郁症已得到缓解。她的体重减轻了3公斤,腰围缩小了3英寸。结论:研究结果表明,即使在这种特别复杂的病例中,技术支持、人工智能驱动的模型,辅以密集的个性化指导、生活方式改变和专家医生指导,也显示出显著的效果。研究结果表明,通过先进的技术和人工智能驱动的见解,个性化和个性化的频繁生活方式指导和专家医生意见导致所有参数的显着改善和显著的药物减少,即使是长期伴有合并症的糖尿病患者
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Case Study Presenting Remarkable Improvements of all Parameters in a Long-Term T2DM Patient with Multiple Chronic Comorbidities by Sugar fit’s -Tech/Ai-Driven Platform with Daily Personalised Life Coaching and Expert Medical Advice
Background: Type 2 diabetes mellitus (T2DM) is not only one of the leading causes of mortality, but its impact on healthcare costs and burden is becoming unsustainable each year. The quality of life and life expectancy are both significantly impacted by this chronic metabolic condition. To help control their blood glucose levels, patients with T2DM adhere to a self-management regimen as instructed by a professional. Various technological options are available now to help self-management. Methods: Here, we present a case of a 64-year-old female with insulin-dependent type 2 diabetes mellitus, multiple co-morbidities, depression, confined to her room, and inability to walk for about a year. After six months of the Sugar fit approach with daily-personalized life coaching, expert medical advice, tech-enabled, AI-driven model, she showed tremendous improvement in every parameter. Results: Before joining sugar fit, the patient was on 44 units of rapid insulin and 18 units of long-acting and oral anti-diabetic medications. The patient’s Hba1c at baseline was 8%; six months later, it is 6.8% with all rapid and long insulin stopped and oral meds essentially the same as before. She has reduced creatinine from 1.88 to 1.37 and triglycerides from 1015 to 448, respectively. Her BP medications have been reduced to 50%. She walks for 2 km every day and is socially active with resolved depression. She has lost 3 kgs of weight and 3 inches of waist circumference. Conclusions: The findings indicate that a tech-enabled, AI-driven model with intensive, personalized coaching, lifestyle modification, and expert physician guidance has shown remarkable results even in this particularly complicated case. The findings indicate that the personalized and individualized frequent lifestyle coaching and expert physician opinion enabled by superior technology and AI-driven Insights resulted in marked improvement of all parameters and significant medication reductions even in Diabetes of long duration with comorbidities
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