Sara M Alexanian, Michael C Cheney, Jenny C Bello Ramos, Nicole L Spartano, Howard A Wolpert, Devin W Steenkamp
{"title":"膳食胰岛素注射时间和睡前零食对住院患者连续血糖监测衍生血糖指标的影响","authors":"Sara M Alexanian, Michael C Cheney, Jenny C Bello Ramos, Nicole L Spartano, Howard A Wolpert, Devin W Steenkamp","doi":"10.1089/dia.2025.0027","DOIUrl":null,"url":null,"abstract":"<p><p><b><i>Objective:</i></b> In hospitalized inpatients, timely administration of prandial insulin with meals is challenging. Furthermore, the glycemic impact of snacking after dinner (\"bedtime snacking\") without prandial insulin administration has not been previously explored. We present an analysis of the impact of delayed mealtime insulin administration and bedtime snacking on inpatient glycemic control. <b><i>Research Design and Methods:</i></b> We conducted a post hoc analysis from the In-Fi study: a randomized controlled trial comparing Fiasp versus insulin aspart (Novolog) in inpatients with type 2 diabetes. Glycemic outcomes were assessed using the Dexcom G6 PRO continuous glucose monitoring (CGM). We analyzed CGM and insulin administration data from 122 randomized subjects who completed the primary study protocol, which included wearing a CGM for ≥4 meals. This analysis evaluates the impact of delayed mealtime insulin administration and bedtime snacking on glucose control. <b><i>Results:</i></b> Four-hour postprandial time in range (TIR<sub>70-180</sub>) was 48% for insulin boluses administered before meals (<i>n</i> = 149) versus 24% when a meal bolus was delayed for >5 min after a meal (mean delay 58.7 min; <i>n</i> = 112; <i>P</i> < 0.001). Bedtime snacking (9 pm-12 am) was associated with significantly higher fasting glucose the next morning (35.2 mg/dL, standard error [SE] = 15.4, <i>P</i> = 0.026) and with a reduced overnight (9 pm-6 am) TIR<sub>70-180</sub> (31.9%, SE = 8.06, <i>P</i> < 0.001), adjusting for bedtime sensor glucose. Bedtime snacking was associated with higher overnight glucose standard deviation (12.3 mg/dL, SE = 3.46, <i>P</i> < 0.001) and with higher overnight glucose percentage coefficient of variation (3.6%; SE = 1.7, <i>P</i> = 0.044), adjusting for initial bedtime sensor glucose. <b><i>Conclusions:</i></b> Delayed mealtime insulin administration and bedtime snacking without insulin administration are significant causes of postprandial and overnight hyperglycemia in hospitalized inpatients. Adjustments in mealtime insulin protocols, attention to food intake, and the potential inpatient adoption of technology, such as CGM and automated insulin delivery systems, are needed to address this shortcoming in inpatient diabetes care.</p>","PeriodicalId":11159,"journal":{"name":"Diabetes technology & therapeutics","volume":" ","pages":""},"PeriodicalIF":5.7000,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of Meal Insulin Bolus Timing and Bedtime Snacking on Continuous Glucose Monitoring-Derived Glycemic Metrics in Hospitalized Inpatients.\",\"authors\":\"Sara M Alexanian, Michael C Cheney, Jenny C Bello Ramos, Nicole L Spartano, Howard A Wolpert, Devin W Steenkamp\",\"doi\":\"10.1089/dia.2025.0027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b><i>Objective:</i></b> In hospitalized inpatients, timely administration of prandial insulin with meals is challenging. Furthermore, the glycemic impact of snacking after dinner (\\\"bedtime snacking\\\") without prandial insulin administration has not been previously explored. We present an analysis of the impact of delayed mealtime insulin administration and bedtime snacking on inpatient glycemic control. <b><i>Research Design and Methods:</i></b> We conducted a post hoc analysis from the In-Fi study: a randomized controlled trial comparing Fiasp versus insulin aspart (Novolog) in inpatients with type 2 diabetes. Glycemic outcomes were assessed using the Dexcom G6 PRO continuous glucose monitoring (CGM). We analyzed CGM and insulin administration data from 122 randomized subjects who completed the primary study protocol, which included wearing a CGM for ≥4 meals. This analysis evaluates the impact of delayed mealtime insulin administration and bedtime snacking on glucose control. <b><i>Results:</i></b> Four-hour postprandial time in range (TIR<sub>70-180</sub>) was 48% for insulin boluses administered before meals (<i>n</i> = 149) versus 24% when a meal bolus was delayed for >5 min after a meal (mean delay 58.7 min; <i>n</i> = 112; <i>P</i> < 0.001). Bedtime snacking (9 pm-12 am) was associated with significantly higher fasting glucose the next morning (35.2 mg/dL, standard error [SE] = 15.4, <i>P</i> = 0.026) and with a reduced overnight (9 pm-6 am) TIR<sub>70-180</sub> (31.9%, SE = 8.06, <i>P</i> < 0.001), adjusting for bedtime sensor glucose. Bedtime snacking was associated with higher overnight glucose standard deviation (12.3 mg/dL, SE = 3.46, <i>P</i> < 0.001) and with higher overnight glucose percentage coefficient of variation (3.6%; SE = 1.7, <i>P</i> = 0.044), adjusting for initial bedtime sensor glucose. <b><i>Conclusions:</i></b> Delayed mealtime insulin administration and bedtime snacking without insulin administration are significant causes of postprandial and overnight hyperglycemia in hospitalized inpatients. Adjustments in mealtime insulin protocols, attention to food intake, and the potential inpatient adoption of technology, such as CGM and automated insulin delivery systems, are needed to address this shortcoming in inpatient diabetes care.</p>\",\"PeriodicalId\":11159,\"journal\":{\"name\":\"Diabetes technology & therapeutics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2025-03-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Diabetes technology & therapeutics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1089/dia.2025.0027\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetes technology & therapeutics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1089/dia.2025.0027","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
摘要
目的:在住院患者中,随餐及时给药是一个挑战。此外,晚餐后吃零食对血糖的影响(“睡前零食”),而不使用餐前胰岛素,以前还没有研究过。我们分析了延迟进餐时间胰岛素注射和睡前吃零食对住院患者血糖控制的影响。研究设计和方法:我们对in - fi研究进行了事后分析:这是一项比较Fiasp与胰岛素分离(Novolog)治疗住院2型糖尿病患者的随机对照试验。使用Dexcom G6 PRO连续血糖监测(CGM)评估血糖结局。我们分析了122名随机受试者的CGM和胰岛素给药数据,这些受试者完成了主要研究方案,其中包括佩戴CGM≥4餐。本分析评估了延迟进餐时间胰岛素注射和睡前吃零食对血糖控制的影响。结果:餐前给药胰岛素的餐后4小时时间范围(TIR70-180)为48% (n = 149),而餐后给药延迟50分钟(平均延迟58.7分钟;N = 112;P < 0.001)。睡前吃零食(晚上9点至凌晨12点)与第二天早上空腹血糖升高(35.2 mg/dL,标准误差[SE] = 15.4, P = 0.026)以及夜间(晚上9点至早上6点)TIR70-180降低(31.9%,SE = 8.06, P < 0.001)相关,调整了睡前传感器血糖。睡前吃零食与较高的夜间血糖标准偏差(12.3 mg/dL, SE = 3.46, P < 0.001)和较高的夜间血糖百分比变异系数(3.6%;SE = 1.7, P = 0.044),调整初始睡前传感器葡萄糖。结论:住院患者餐后及夜间高血糖发生的重要原因是进餐时间胰岛素注射延迟和睡前零食未注射胰岛素。需要调整进餐时间胰岛素方案,注意食物摄入,以及潜在的住院患者采用技术,如CGM和自动胰岛素输送系统,以解决住院糖尿病护理中的这一缺陷。
Impact of Meal Insulin Bolus Timing and Bedtime Snacking on Continuous Glucose Monitoring-Derived Glycemic Metrics in Hospitalized Inpatients.
Objective: In hospitalized inpatients, timely administration of prandial insulin with meals is challenging. Furthermore, the glycemic impact of snacking after dinner ("bedtime snacking") without prandial insulin administration has not been previously explored. We present an analysis of the impact of delayed mealtime insulin administration and bedtime snacking on inpatient glycemic control. Research Design and Methods: We conducted a post hoc analysis from the In-Fi study: a randomized controlled trial comparing Fiasp versus insulin aspart (Novolog) in inpatients with type 2 diabetes. Glycemic outcomes were assessed using the Dexcom G6 PRO continuous glucose monitoring (CGM). We analyzed CGM and insulin administration data from 122 randomized subjects who completed the primary study protocol, which included wearing a CGM for ≥4 meals. This analysis evaluates the impact of delayed mealtime insulin administration and bedtime snacking on glucose control. Results: Four-hour postprandial time in range (TIR70-180) was 48% for insulin boluses administered before meals (n = 149) versus 24% when a meal bolus was delayed for >5 min after a meal (mean delay 58.7 min; n = 112; P < 0.001). Bedtime snacking (9 pm-12 am) was associated with significantly higher fasting glucose the next morning (35.2 mg/dL, standard error [SE] = 15.4, P = 0.026) and with a reduced overnight (9 pm-6 am) TIR70-180 (31.9%, SE = 8.06, P < 0.001), adjusting for bedtime sensor glucose. Bedtime snacking was associated with higher overnight glucose standard deviation (12.3 mg/dL, SE = 3.46, P < 0.001) and with higher overnight glucose percentage coefficient of variation (3.6%; SE = 1.7, P = 0.044), adjusting for initial bedtime sensor glucose. Conclusions: Delayed mealtime insulin administration and bedtime snacking without insulin administration are significant causes of postprandial and overnight hyperglycemia in hospitalized inpatients. Adjustments in mealtime insulin protocols, attention to food intake, and the potential inpatient adoption of technology, such as CGM and automated insulin delivery systems, are needed to address this shortcoming in inpatient diabetes care.
期刊介绍:
Diabetes Technology & Therapeutics is the only peer-reviewed journal providing healthcare professionals with information on new devices, drugs, drug delivery systems, and software for managing patients with diabetes. This leading international journal delivers practical information and comprehensive coverage of cutting-edge technologies and therapeutics in the field, and each issue highlights new pharmacological and device developments to optimize patient care.