蓝色指数作为以患者为中心的糖尿病患者综合护理评估。

Q3 Medicine
Rupak Chatterjee, Arindam Naskar, Shambo Samrat Samajdar, Shatavisa Mukherjee, Shashank Joshi, Partha Sarathi Karmakar
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引用次数: 0

摘要

背景:糖尿病健康评估需要考虑代谢、非代谢以及饮食、运动、随访和习惯等自我保健措施。另一方面,并发症指数包括糖尿病的大血管和微血管并发症以及足部并发症。蓝色指数(BI)是对糖尿病健康相关参数和糖尿病全身并发症的综合评估。本研究旨在以单一指数评估患者的糖尿病控制状况:这项前瞻性观察研究共纳入了 100 名成年糖尿病患者,对他们的糖尿病健康状况(DHS)和并发症评分(KS)进行了评估,包括心血管/大血管并发症、微血管并发症和足部并发症。BI 以综合比率计算,分别在基线、3 个月后和 6 个月时测量。对数据进行了统计分析:结果:与基线相比,糖尿病患者的健康状况在第 3 个月和第 6 个月分别有明显改善(P = 0.000)。与基线相比,KS 分别在第 3 个月和第 6 个月明显下降(p = 0.000)。与基线相比,BI 综合得分在第 3 个月和第 6 个月分别稳步上升至 9.62 分和 13.14 分。根据发现糖尿病的时间长短进行评估,DHS、KS 和 BI 的得分显示出相似的变化。根据患者的性别进行评估,女性的 DHS 在基线时明显高于男性,随着时间的推移,男女患者的得分都在逐步提高。与此形成对比的是,男性的 KS 显著低于女性,随着时间的推移,得分逐渐降低,这表明并发症有所改善。DHS 与发现糖尿病的时间(p = 0.001)和年龄(p = 0.01)明显相关:BI 是一种简单的工具,它包含了糖尿病护理不同方面的各种参数,包括并发症。结论:BI 是一种简单的工具,包含了糖尿病护理不同方面(包括并发症)的各种参数,不仅可供内分泌科医生使用,也可供所有医生作为监测和改善糖尿病护理的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blue Index as a Comprehensive, Patient-centered Assessment of Care in Diabetic Patients.

Background: Assessment of diabetes health takes into account metabolic, nonmetabolic, and self-care measures like diet, exercise, follow-up, and habits. On the other hand, the index of complications includes the macro- and microvascular complications of diabetes along with foot complications. The Blue Index (BI) is a composite assessment of both diabetic health-related parameters and systemic complications stemming from diabetes. The present study aimed to evaluate the diabetes control status of the patients as a single index.

Methods: A prospective, observational study included a total of 100 adult diabetic patients in whom diabetic health status (DHS) and Komplications Score (KS) were assessed for cardiovascular/macrovascular, microvascular, and foot complications. The BI was calculated as a composite ratio, and measures were obtained at baseline, after 3 months, and at 6 months. Data were statistically analyzed.

Results: Diabetic health status significantly increased at the 3rd month and the 6th month, respectively, compared to baseline (p = 0.000). KS significantly decreased at the 3rd month and the 6th month, respectively, compared to baseline measures (p = 0.000). The composite BI scores showed a steady increase of 9.62 at the 3rd month and 13.14 at the 6th month, respectively, compared to baseline. Assessing based on the duration of diabetes detection, the scores of DHS, KS, and BI showed similar changes. Assessing based on patients' gender, DHS was significantly higher in females at baseline compared to males, with gradual improvement in scores over time for both genders. Contrastingly, KS was significantly lower in males compared to females, with scores showing gradual decrement over the time frame, signifying improvement in complications. DHS was significantly correlated with the duration of diabetes detection (p = 0.001) and age (p = 0.01).

Conclusion: The BI is a simple tool that incorporates various parameters covering different aspects of diabetes care, including complications. It may be used not only by endocrinologists but also by all physicians as a tool to monitor and improve diabetic care.

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