Abstract MP17: Sustained Improvements in Liver Fat Reduction and Cardiometabolic Health at Nine Months after a 12 Week Digital Health Program in Individuals with Non-Alcoholic Fatty Liver Disease - A Feasibility Study

Sigridur Bjornsdottir,Hildigunnur Ulfsdottir,Elias F Gudmundsson,Bartosz Dobies,Kolbrun Sveinsdottir,Ari P Isberg,Gudlaug Bjornsdottir,Sigurdur Sigurdsson,Saemundur Oddsson,Vilmundur Gudnason

Circulation（2024）

The Reykjavik Heart Cntr | Sidekick Health | Univ of Iceland | Icelandic Heart Association

Cited 0|Views21

Abstract

Introduction: Behavioral changes can improve health outcomes, but maintaining improvements can be challenging. A 12-week digital health program for Non-Alcoholic Fatty Liver Disease (NAFLD) was previously shown to be feasible in terms of patient engagement, program retention, and improvements in clinical markers of liver and cardiometabolic health. Here, we report on retention and clinical measurements after a 6-month maintenance program. Hypothesis: We hypothesized that improvements in cardiometabolic health can be sustained six months beyond an active program’s duration. Methods: A prospective, open label, single arm, 12-week long study was first conducted, where a digital health program was delivered through the Sidekick app with emphasis on disease education, lowering dietary carbohydrates, increasing activity levels, reducing stress and lifestyle coaching. Individuals with either BMI>30, metabolic syndrome or type 2 diabetes were screened for NAFLD with a FibroScan assessment. Data collection included demographics, anthropometric and clinical measurements, MRI-PDFF for liver fat content, dual-energy X-ray absorptiometry for body composition and blood tests. Measurements were done at baseline, 12 weeks and nine months. Once the 12-week program concluded, a six-month maintenance program was initiated with no new educational materials and the health coaching ceased. During the maintenance program the participants retained access to the app with recurring educational content. Summary statistics were calculated for all participants who started the health program. Missing values at follow-up were imputed using baseline observation carried forward. Results: In total, 38 individuals were included in the study and 34 (89%) completed the 12-week program, of which 28 (83%) attended the third and final follow-up visit at nine months. The median population age was 59.5 [IQR 46.3,68.8] years and 23 (60.5%) were females. At month nine the mean weight loss compared to baseline was 4.0 kg (SD=5.0) (p<0.001) with 5.2% (SD=10.0) reduction in fat mass (p<0.001). The average relative liver fat reduction was 18.4% (SD=30.5) (p<0.001). Systolic blood pressure decreased by 8.3 mmHg on average (SD=13.4) (p<0.001), diastolic blood pressure by 2.5 mmHg (SD=6.0) (p=0.015) and waist circumference by 4.7 cm (SD=7.1) (p<0.001). According to a sensitivity analysis the observed changes were not explained by changes in medication. Previous changes in triglyceride levels were not maintained. In the final week, 50% (19/38) of the users were retained in the app. Conclusion: This study suggests that improvements after a 12-week digital health program can be sustained at nine months despite coaching cessation. We observed sustained improvements for weight loss, liver fat, blood pressure and body composition. This approach could provide a new tool to obtain and maintain improvements in NAFLD.

Translated text

求助PDF

上传PDF

Bibtex

AI Read Science

AI Summary

AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.

Example

Background

Key content

Introduction

Methods

Results

Related work

Fund

Key content

Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

Upload PDF to Generate Summary

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper

Data Disclaimer

The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn

Chat Paper

【要点】：本研究表明，经过12周数字健康程序后，非酒精性脂肪肝病（NAFLD）患者的体重、肝脂肪含量、血压和身体组成改善可以持续至九个月，即使停止了健康指导。

【方法】：采用前瞻性、开放标签、单臂、12周的研究，通过Sidekick应用提供数字健康程序，重点在于疾病教育、降低饮食中的碳水化合物、增加活动量、减少压力和生活方式指导。

【实验】：共38名参与者，其中34人（89%）完成了12周程序，28人（83%）在九个月时完成了最终随访。实验使用的数据集包括人口学数据、人体测量和临床测量、MRI-PDFF测量肝脂肪含量、双能X射线吸收法测量身体组成和血液测试。结果显示，九个月时，平均体重减轻4.0公斤，脂肪质量减少5.2%，平均相对肝脂肪含量减少18.4%，收缩压平均下降8.3毫米汞柱，舒张压平均下降2.5毫米汞柱，腰围平均减少4.7厘米。