Xu HM, Shen XJ, Liu J. Establishment of models to predict factors influencing periodontitis in patients with type 2 diabetes mellitus. World J Diabetes 2023; 14(12): 1793-1802 [PMID: 38222787 DOI: 10.4239/wjd.v14.i12.1793]
Corresponding Author of This Article
Jia Liu, MM, Attending Doctor, Department of Stomatology, Taizhou Central Hospital (Taizhou University Hospital), No. 999 Donghai Avenue, Jiaojiang District, Taizhou 318000, Zhejiang Province, China. liujia_861217@163.com
Research Domain of This Article
Endocrinology & Metabolism
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Diabetes. Dec 15, 2023; 14(12): 1793-1802 Published online Dec 15, 2023. doi: 10.4239/wjd.v14.i12.1793
Table 1 General information
Factor
Total number (n = 300)
Periodontitis group (n = 224)
Non-periodontitis group (n = 76)
t/χ²/Z
P value
Sex, n (%)
4.050
0.044
Male
164 (54.67)
130 (58.04)
34 (44.74)
Female
136 (45.33)
94 (41.96)
42 (55.26)
Age (yr), (mean ± SD)
59.18 ± 11.40
60.91 ± 9.49
54.11 ± 14.69
-4.646
< 0.001
Education level, n (%)
-3.626
< 0.001
Below high school education
118 (39.33)
98 (43.75)
20 (26.31)
High school education
98 (32.67)
76 (33.93)
22 (28.95)
Above high school education
84 (28.00)
50 (22.32)
34 (44.74)
Monthly income, n (%)
-1.890
0.059
< 2000 yuan
65 (21.67)
54 (24.11)
11 (14.47)
2000-5000 yuan
133 (44.33)
99 (44.20)
34 (44.74)
> 5000 yuan
102 (34.00)
71 (31.70)
31 (40.79)
Table 2 Lifestyle factors
Factor
Total (n = 300)
Periodontitis group (n = 224)
Non-periodontitis group (n = 76)
χ²
P value
Smoking, n (%)
3.500
0.061
No
238 (79.33)
172 (76.79)
66 (86.84)
Yes
62 (20.67)
52 (23.21)
10 (13.16)
Alcohol consumption, n (%)
0.460
0.497
No
249 (83.00)
184 (82.14)
65 (85.53)
Yes
51 (17.00)
40 (17.86)
11 (14.47)
Regular exercise, n (%)
No
142 (47.33)
109 (48.66)
33 (43.42)
0.625
0.429
Yes
158 (52.67)
115 (51.34)
43 (56.58)
Brushing frequency, n (%)
29.248
< 0.001
≥ 2 times/d
137 (45.67)
82 (36.61)
55 (72.37)
< 2 times/d
163 (54.33)
142 (63.39)
21 (27.63)
Table 3 Physical health status
Factor
Total number (n = 300)
Periodontitis group (n = 224)
Non-periodontitis group (n = 76)
t/Z
P value
BMI (kg/m2), median (P25, P75)
24.96 (22.36, 26.81)
24.86 (22.13, 26.65)
25.61 (23.26, 27.23)
-1.223
0.221
TG (mmol/L)
1.51 ± 0.28
1.53 ± 0.28
1.44 ± 0.26
-2.678
0.008
< 1.7
226 (75.33)
163 (72.77)
63 (82.89)
≥ 1.7
74 (26.67)
61 (27.23)
13 (17.11)
TC (mmol/L)
4.72 ± 0.77
4.86 ± 0.78
4.33 ± 0.59
-5.361
< 0.001
< 5.18
212 (70.67)
144 (64.29)
68 (89.47)
≥ 5.18
88 (29.33)
80 (35.71)
8 (10.53)
HDL-C (mmol/L)
1.09 ± 0.19
1.08 ± 0.20
1.12 ± 0.15
1.777
0.077
< 1.04, n (%)
114 (38.00)
93 (41.52)
21 (27.63)
≥ 1.04, n (%)
186 (62.00)
131 (58.48)
55 (72.37)
LDL-C (mmol/L)
2.42 ± 0.29
2.44 ± 0.29
2.39 ± 0.30
-1.183
0.238
< 3.37, n (%)
300 (100.00)
224 (100.00)
76 (100.00)
≥ 3.37, n (%)
0 (0.00)
0 (0.00)
0 (0.00)
HbA1c (mmol/L)
7.86 ± 1.17
8.10 ± 1.16
7.14 ± 0.85
-6.596
< 0.001
< 6.5%, n (%)
37 (12.33)
17 (7.59)
20 (26.32)
6.5%-7.5%, n (%)
83 (27.66)
52 (23.21)
31 (40.79)
7.5%-8.5%, n (%)
90 (30.00)
71 (31.70)
19 (25.00)
≥ 8.5%, n (%)
90 (30.00)
84 (37.50)
6 (7.89)
Table 4 Assignment and description of related factors affecting the occurrence of periodontitis in patients with type 2 diabetes mellitus
Factor
Assignment of value
Sex
Female = 0
Male = 1
Age
Continuous variables
Brushing frequency
≥ 2 times/d = 0
< 2 times/d = 1
Education level
Below high school education = 0
High school education = 1
Above high school education = 2
HbA1c
Continuous variables
TC
Continuous variables
TG
Continuous variables
Table 5 Multivariate logistic regression analysis of occurrence of periodontitis in patients with type 2 diabetes mellitus
Factor
β
SE
Wald χ²
P value
OR (95%CI)
Age
0.046
0.015
9.813
0.002
1.047 (1.017-1.078)
Sex
0.622
0.346
3.230
0.072
1.863 (0.945-3.674)
Brushing frequency
1.459
0.353
17.073
< 0.001
4.303 (2.154-8.599)
Education level
-0.639
0.212
9.065
0.003
0.528 (0.348-0.800)
HbA1c
0.934
0.185
25.392
< 0.001
2.545 (1.770-3.661)
TC
1.055
0.260
16.451
< 0.001
2.872 (1.725-4.781)
TG
1.196
0.600
3.967
0.046
3.306 (1.019-10.723)
Table 6 Efficacy of the two models in predicting the occurrence of periodontitis in patients with type 2 diabetes mellitus in the training dataset
Model
Sensitivity
Specificity
Accuracy
Recall
Precision
AUC (95%CI)
Random forest
1.000
1.000
1.000
1.000
1.000
1.000 (1.000-1.000)
Logistic regression
0.569
0.919
0.830
0.569
0.707
0.851 (0.791-0.910)
Table 7 Efficacy of the two models in predicting the occurrence of periodontitis in patients with type 2 diabetes mellitus in the validation dataset
Model
Sensitivity
Specificity
Accuracy
Recall
Precision
AUC (95%CI)
Random forest
0.520
0.960
0.850
0.520
0.813
0.946 (0.905-0.986)
Logistic regression
0.640
0.907
0.840
0.640
0.696
0.915 (0.857-0.973)
Citation: Xu HM, Shen XJ, Liu J. Establishment of models to predict factors influencing periodontitis in patients with type 2 diabetes mellitus. World J Diabetes 2023; 14(12): 1793-1802