m+Medelevator.RU
← Поиск публикаций
Alternative therapies in health and medicine · 2024

Analysis of Factors Influencing the Prognosis of Periodontal Disease Treated with Host Modulation and the Development of a Predictive Model.

СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Yu Chengbo, Tao Dan, Cai Mimqiu, Xu Hongmiao, Guo Jianlin

Аннотация

OBJECTIVE: To explore the effect of host regulation (HMT) therapy on periodontal disease and construct prognosis prediction model.

METHODS: The clinical data of 106 patients who received HMT treatment in our hospital from January 2020 to January 2023 were retrospectively analyzed. The changes of plaque index (PLI), periodontal pocket depth (PD), tooth looseness (TM), attachment loss (AL) and gingival bleeding index (BI) were observed before and after treatment. According to the clinical efficacy of patients after treatment, they were divided into effective group and ineffective group. Multivariate Logistic regression model was used to analyze the relevant factors affecting the prognosis of patients., and a predictive model of the factors affecting the prognosis of periodontal disease was constructed to predict the diagnostic value of the prognostic outcome of periodontal disease using the relative operating characteristic (ROC) curve.

RESULTS: After HMT treatment, PLI, PD, AL and BI were significantly reduced in all patients, while TM(grade II and III) patients were decreased (P < .05). After 4 weeks of treatment, a total of 74 patients were included in the effective group. Univariate and multivariate analysis showed that oral hygiene, early use of broad-spectrum antibiotics, periodontal bone loss shape, gingival flap thickness and alveolar bone resorption type were independent factors influencing the prognosis of HMT (P < .001). ROC results showed that the area under the curve (AUC), sensitivity and specificity of the above independent influencing factors combined to predict the clinical efficacy of HMT in patients with periodontal disease were higher.

CONCLUSION: HMT has a good clinical effect in the treatment of periodontal disease, but there are still cases of poor prognostic effect. The combination of independent factors affecting the prognosis of HMT has a good predictive value for the clinical efficacy of patients with periodontal disease after HMT treatment.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты