Department of Oral and Maxillofacial Surgery, National Hospital Organization Kumamoto Medical Center, Kumamoto, Japan.
Department of Oral and Maxillofacial Surgery, National Hospital Organization Kyoto Medical Center, Kyoto, Japan.
Spec Care Dentist. 2024 Mar-Apr;44(2):513-519. doi: 10.1111/scd.12874. Epub 2023 May 16.
To determine the Oral Health Assessment Tool (OHAT) critical score in palliative care patients and the optimal timing for predicting mortality using time-dependent receiver operating characteristic (ROC) curves.
A retrospective observational study was conducted on 176 patients treated by the palliative care team of our medical center between April 2017 and March 2020. Oral health was assessed using the OHAT. Prediction accuracy was evaluated using the area under the curve (AUC) analysis, sensitivity, and specificity, using time-dependent ROC curves. Overall survival (OS) was compared using Kaplan-Meier curves with the log-rank test; hazard ratios (HRs) adjusted for covariates were calculated using a Cox proportional hazard model. A OHAT score of 6 was shown to best predict 21-day OS (AUC 0.681, sensitivity 42.2%, specificity 80.0%). The median OS was significantly shorter in patients with total OHAT scores ≥6 than in patients with scores < 6 (21 days vs. 43 days, p = .017). For individual OHAT items, the unhealthy status of the lips and tongue was associated with decreased OS (HR = 1.91; 95% confidence interval [CI], 1.19-3.05 and adjusted HR = 1.48; 95% CI, 1.00-2.20).
Predicting disease prognosis based on patient oral health can enable clinicians to provide timely treatment.
确定姑息治疗患者口腔健康评估工具(OHAT)的临界分数,并使用时依接受者操作特性(ROC)曲线确定预测死亡率的最佳时间。
对 2017 年 4 月至 2020 年 3 月期间我院姑息治疗团队治疗的 176 名患者进行了回顾性观察性研究。使用 OHAT 评估口腔健康。使用时依 ROC 曲线分析、敏感性和特异性评估预测准确性。使用 Kaplan-Meier 曲线和对数秩检验比较总生存期(OS);使用 Cox 比例风险模型计算经协变量调整的风险比(HR)。OHAT 得分为 6 分可最佳预测 21 天 OS(AUC 0.681,敏感性 42.2%,特异性 80.0%)。总 OHAT 评分≥6 分的患者 OS 明显短于评分<6 分的患者(21 天 vs. 43 天,p=0.017)。对于 OHAT 各个单项,嘴唇和舌头的不健康状态与 OS 降低相关(HR=1.91;95%置信区间[CI],1.19-3.05;调整后的 HR=1.48;95% CI,1.00-2.20)。
根据患者口腔健康预测疾病预后,可以使临床医生及时进行治疗。