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肌萎缩侧索硬化症患者营养咨询的远程医疗干预措施。

A Telehealth Intervention for Nutritional Counseling in Amyotrophic Lateral Sclerosis Patients.

作者信息

De Marchi Fabiola, Serioli Marcella, Collo Alessandro, Belotti Evelyn Gisell, Alloatti Francesca, Biroli Giampaolo, Bolioli Andrea, Cantello Roberto, Riso Sergio, Mazzini Letizia

机构信息

ALS Centre, Department of Neurology, Maggiore della Carità Hospital, University of Piemonte Orientale, 28100 Novara, Italy.

Clinical Nutrition and Dietetics Unit, Maggiore della Carità Hospital, 28100 Novara, Italy.

出版信息

J Clin Med. 2022 Jul 23;11(15):4286. doi: 10.3390/jcm11154286.

Abstract

Nutritional status is one of the most relevant prognostic factors in Amyotrophic Lateral Sclerosis (ALS), and close monitoring can help avoid severe weight loss over the disease course. We describe the impact of a Chatbot webapp on improving the communications between physicians, patients, and/or caregivers for dietary monitoring. We developed a chatbot that provides patients with a tool to register their meals through an intuitive and carefully designed conversational interface. Patients recorded their dietary intake twice weekly and received an adequate nutritional recommendation monthly. We monitored their functional and nutritional parameters. The data were compared with a control group followed up by standard counseling. We enrolled 26 patients. Regarding feasibility, 96% of participants completed the three-month follow-up, and 77% ended the six months. Regarding the change in weight in the Chatbot group, we observed a weight stabilization (F = 1.874, -value: 0.310 for changes) over the telehealth compared to the control group (F = 1.710, -value: 0.024 for changes). A telehealth approach for nutritional support is feasible and reproducible in an ALS setting: frequent monitoring turned out to help prevent further weight loss, allowing an early nutritional strategy adjustment.

摘要

营养状况是肌萎缩侧索硬化症(ALS)中最相关的预后因素之一,密切监测有助于避免患者在病程中出现严重体重减轻。我们描述了一个聊天机器人网络应用程序对改善医生、患者和/或护理人员之间饮食监测沟通的影响。我们开发了一个聊天机器人,通过直观且精心设计的对话界面为患者提供记录饮食的工具。患者每周记录两次饮食摄入量,并每月获得一次适当的营养建议。我们监测他们的功能和营养参数。将数据与通过标准咨询进行随访的对照组进行比较。我们招募了26名患者。关于可行性,96%的参与者完成了三个月的随访,77%的参与者完成了六个月的随访。关于聊天机器人组的体重变化,与对照组相比(对照组变化的F值 = 1.710,P值 = 0.024),我们观察到通过远程医疗,聊天机器人组的体重趋于稳定(变化的F值 = 1.874,P值 = 0.310)。在ALS环境中,远程医疗营养支持方法是可行且可重复的:频繁监测有助于防止体重进一步减轻,从而能够早期调整营养策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/564d/9331838/6d4a338c5670/jcm-11-04286-g001.jpg

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