牙周炎患者发生种植体周围炎风险预测模型的构建

doi:10.13591/j.cnki.kqyx.2023.08.007

Abstract

Abstract:

Objective To analyze the risk factors of peri-implantitis after dental implants in patients with periodontitis, and construct a nomogram prediction model. Methods A total of 203 patients were included into the study, and divided into modeling group(n=142) and validation group(n=61) by random sampling. Based on the independent risk factors of peri-implantitis in patients with periodontitis, the Logistic risk prediction model was established. The model was internally verified by Bootstrap method and the external verification was completed by the verification group. Hosmer-Lemeshow test(H-L test) and the area under the receiver operating characteristic(ROC) curve was used to evaluate the prediction model. Results Smoking history, diabetes history, irregular periodontal treatment, thickness of peri-implant mucosa<2 mm, anterior teeth implantation and adhesive restoration were the independent risk factors for peri-implantitis after dental implantation in patients with periodontitis(P<0.05). According to the above risk factors, a nomogram model was constructed to predict the occurrence of peri-implantitis in patients with periodontitis. H-L test had a significant level of 0.536. The calibration curve showed that the predicted values of the modeling group and the verification group were basically consistent with the measured values. The area under the curve(AUC)of the model group was 0.906, indicating that the model had good prediction accuracy.Conclusion The risk prediction model, consisting of smoking history, diabetes history, irregular periodontal treatment, thickness of peri-implant mucosa<2 mm, anterior teeth implantation and adhesive restoration, may effectively predict the incidence ofperi-implantitis after dental implants in patients with periodontitis.

Key words: periodontitis, dental implant, peri-implantitis, nomogram predictive model

CLC Number:

R783.4

TANG Jinxin, TANG Chunbo, SONG Xin, RUI Na, XUE Chang'ao. Establishment of risk prediction model for peri-implantitis after dental implants in patients with periodontitis[J]. Stomatology, 2023, 43(8): 706-710.

Figures/Tables 5

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References 27

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因素	周围炎组 (n=18)	非周围炎组 (n=124)	χ²	P
性别			1.017	0.313
男	12	67
女	6	57
年龄/岁			0.148	0.700
<60	9	56
≥60	9	68
吸烟史(>200支/年)			16.078	<0.001
是	9	15
否	9	109
未定期行牙周治疗			11.055	0.001
是	6	90
否	12	34
糖尿病			10.602	0.001
是	10	25
否	8	99
高血压			0.107	0.744
是	4	32
否	14	92
骨关节病			2.760	0.097
是	5	16
否	13	108
种植体周围黏膜厚度<2 mm			6.679	0.010
是	10	32
否	8	92
种植部位			0.400	0.527
上	10	59
下	8	65
种植部位			6.133	0.013
前	9	28
后	9	96
行骨增量手术			0.427	0.513
是	5	26
否	13	98
固位方式			9.277	0.002
粘接固位	13	43
螺丝固位	5	81

危险因素	回归系数	标准误	Wald值	P	OR值(95%CI)
吸烟史(>200支/年)(0=否,1=是)	1.582	0.663	2.39	0.017	4.865(1.327~17.836)
糖尿病(0=否,1=是)	1.734	0.696	2.49	0.013	5.662(1.446~22.165)
未定期行牙周治疗(0=否,1=是)	1.391	0.660	2.11	0.035	4.018(1.102~14.644)
种植体周围黏膜厚度<2 mm(0=否,1=是)	1.900	0.721	2.64	0.008	6.689(1.629~27.472)
前牙区种植(0=否,1=是)	1.507	0.679	2.22	0.027	4.515(1.193~17.095)
粘接固位修复(0=否,1=是)	1.530	0.685	2.23	0.026	4.620(1.206~17.703)
常量	-5.912	1.101	-5.37	<0.001

Establishment of risk prediction model for peri-implantitis after dental implants in patients with periodontitis

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