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Enhanced control of periodontitis by an artificial intelligence‐enabled multimodal‐sensing toothbrush and targeted mHealth micromessages: A randomized trial

医学 随机对照试验 牙周炎 口腔卫生 人口 指南 慢性牙周炎 置信区间 探血 物理疗法 牙科 内科学 病理 环境卫生
作者
Yuan Li,Xinyu Wu,M Q Liu,Ke Deng,Annamaria Tullini,Xiao Zhang,Junyu Shi,Hongchang Lai,Maurizio S. Tonetti
出处
期刊:Journal of Clinical Periodontology [Wiley]
卷期号:51 (12): 1632-1643 被引量:19
标识
DOI:10.1111/jcpe.13987
摘要

Abstract Aim Treatment of periodontitis, a chronic inflammatory disease driven by biofilm dysbiosis, remains challenging due to patients' poor performance and adherence to the necessary oral hygiene procedures. Novel, artificial intelligence‐enabled multimodal‐sensing toothbrushes (AI‐MST) can guide patients' oral hygiene practices in real‐time and transmit valuable data to clinicians, thus enabling effective remote monitoring and guidance. The aim of this trial was to assess the effect of such a system as an adjunct to clinical practice guideline‐conform treatment. Materials and Methods This was a single‐centre, double‐blind, standard‐of‐care controlled, randomized, parallel‐group, superiority trial. Male and female adults with generalized Stage II/III periodontitis were recruited at the Shanghai Ninth People's Hospital, China. Subjects received a standard‐of‐care oral hygiene regimen or a technology‐enabled, theory‐based digital intervention consisting of an AI‐MST and targeted doctor's guidance by remote micromessaging. Additionally, both groups received guideline‐conform periodontal treatment. The primary outcome was the resolution of inflamed periodontal pockets (≥4 mm with bleeding on probing) at 6 months. The intention‐to‐treat (ITT) analysis included all subjects who received the allocated treatment and at least one follow‐up. Results One hundred patients were randomized and treated (50 tests/controls) between 1 February and 30 November 2022. Forty‐eight tests (19 females) and 47 controls (16 females) were analysed in the ITT population. At 6 months, the proportion of inflamed periodontal pockets decreased from 80.7% (95% confidence interval [CI] 76.5–84.8) to 52.3% (47.7–57.0) in the control group, and from 81.4% (77.1–85.6) to 44.4% (39.9–48.9) in the test group. The inter‐group difference was 7.9% (1.6–14.6, p < .05). Test subjects achieved better levels of oral hygiene ( p < .001). No significant adverse events were observed. Conclusions The tested digital health intervention significantly improved the outcome of periodontal therapy by enhancing the adherence and performance of self‐performed oral hygiene. The model breaks the traditional model of oral health care and has the potential to improve efficiency and reduce costs (NCT05137392).
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