Journal of Prevention and Treatment for Stomatological Diseases ›› 2020, Vol. 28 ›› Issue (12): 785-790.DOI: 10.12016/j.issn.2096-1456.2020.12.006
• Clinical Study • Previous Articles Next Articles
HU Congjiao(),MAO Feifei(
),WU Ying,FENG Yanhuizhi,ZHOU Min,LUO Lijun(
)
Received:
2020-05-07
Revised:
2020-06-06
Online:
2020-12-20
Published:
2020-11-10
Contact:
Lijun LUO
通讯作者:
罗礼君
作者简介:
胡琮佼,医师,硕士,Email:基金资助:
CLC Number:
HU Congjiao,MAO Feifei,WU Ying,FENG Yanhuizhi,ZHOU Min,LUO Lijun. Big data analysis of patients with periodontitis and factors influencing treatment behavior[J]. Journal of Prevention and Treatment for Stomatological Diseases, 2020, 28(12): 785-790.
胡琮佼,茅飞飞,武影,冯妍慧芝,周敏,罗礼君. 牙周炎患者诊疗行为影响因素的大数据分析[J]. 口腔疾病防治, 2020, 28(12): 785-790.
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Variables | Assignments | |
---|---|---|
Basic information | Sex | Male; female |
Age (y) | ≤ 35; > 35 | |
Smoking | Yes; no | |
Payment method | Medical insurance; self-paying | |
Clinical Variables | Systemic diseases | Hypertension; type 2 diabetes; CAD |
Severity of disease | 1 (early); 2 (moderate); 3 (severe) | |
Phase of treatment | Groups 1-6 | |
Clinic visits | ≤3; 4-5; ≥6 | |
Follow-up visits | 0; 1; 2 |
Table 1 Selected variables and their assignments
Variables | Assignments | |
---|---|---|
Basic information | Sex | Male; female |
Age (y) | ≤ 35; > 35 | |
Smoking | Yes; no | |
Payment method | Medical insurance; self-paying | |
Clinical Variables | Systemic diseases | Hypertension; type 2 diabetes; CAD |
Severity of disease | 1 (early); 2 (moderate); 3 (severe) | |
Phase of treatment | Groups 1-6 | |
Clinic visits | ≤3; 4-5; ≥6 | |
Follow-up visits | 0; 1; 2 |
Variables | Group 1 (n=1 368) | Group 2 (n=960) | Group 3 (n=731) | Group 4 (n=529) | Group 5 (n=3 691) | Group 6 (n=290) | |
---|---|---|---|---|---|---|---|
Gender(male/female) | 676/692 | 448/512 | 377/354 | 278/251 | 1 777/1 914 | 145/145 | |
Age(y),$\bar{x}±s $ | 48.59 ± 13.92 | 40.03 ± 14.87 | 44.00 ± 13.78 | 43.81 ± 12.97 | 42.15 ± 13.22 | 39.57 ± 12.79 | |
Smoking, n(%) | 98(7.16) | 45(4.69) | 45(6.16) | 37(6.99) | 165(4.47) | 12(4.14) | |
Diabetes, n(%) | 65(4.75) | 14(1.46) | 13(1.78) | 20(3.78) | 75(2.03) | 4(1.38) | |
Hypertension, n(%) | 162(11.84) | 41(4.27) | 53(7.25) | 43(8.13) | 214(5.80) | 15(5.17) | |
CAD, n(%) | 33(2.41) | 12(1.25) | 8(1.09) | 4(0.76) | 24(0.65) | 1(0.35) | |
Severity of disease, n(%) | 1 | 322(23.54) | 571(59.48) | 214(29.28) | 107(20.23) | 969(26.25) | 58(20.00) |
2 | 376(27.49) | 238(24.79) | 232(31.74) | 235(44.42) | 1 398(37.88) | 92(31.72) | |
3 | 670(48.98) | 151(15.73) | 285(35.99) | 187(35.35) | 1 324(35.87) | 140(48.28) | |
Payment method, n(%) | Medical insurance | 1 076(78.66) | 785(81.77) | 608(83.17) | 462(87.34) | 3 239(87.75) | 257(88.62) |
Self-paying | 292(21.35) | 175(18.23) | 123(16.83) | 67(12.67) | 452(12.25) | 33(11.38) | |
Follow-up visits | 0 | 1 361 | 814 | 675 | 473 | 2 711 | 117 |
1 | 5 | 107 | 43 | 42 | 628 | 69 | |
2 | 2 | 89 | 20 | 46 | 352 | 104 | |
Treatment times | 1.20 ± 0.71 | 1.64 ± 1.06 | 1.75 ± 1.02 | 2.99 ± 1.68 | 4.32 ± 2.27 | 9.11 ± 4.18 |
Table 2 Basic information of the study population
Variables | Group 1 (n=1 368) | Group 2 (n=960) | Group 3 (n=731) | Group 4 (n=529) | Group 5 (n=3 691) | Group 6 (n=290) | |
---|---|---|---|---|---|---|---|
Gender(male/female) | 676/692 | 448/512 | 377/354 | 278/251 | 1 777/1 914 | 145/145 | |
Age(y),$\bar{x}±s $ | 48.59 ± 13.92 | 40.03 ± 14.87 | 44.00 ± 13.78 | 43.81 ± 12.97 | 42.15 ± 13.22 | 39.57 ± 12.79 | |
Smoking, n(%) | 98(7.16) | 45(4.69) | 45(6.16) | 37(6.99) | 165(4.47) | 12(4.14) | |
Diabetes, n(%) | 65(4.75) | 14(1.46) | 13(1.78) | 20(3.78) | 75(2.03) | 4(1.38) | |
Hypertension, n(%) | 162(11.84) | 41(4.27) | 53(7.25) | 43(8.13) | 214(5.80) | 15(5.17) | |
CAD, n(%) | 33(2.41) | 12(1.25) | 8(1.09) | 4(0.76) | 24(0.65) | 1(0.35) | |
Severity of disease, n(%) | 1 | 322(23.54) | 571(59.48) | 214(29.28) | 107(20.23) | 969(26.25) | 58(20.00) |
2 | 376(27.49) | 238(24.79) | 232(31.74) | 235(44.42) | 1 398(37.88) | 92(31.72) | |
3 | 670(48.98) | 151(15.73) | 285(35.99) | 187(35.35) | 1 324(35.87) | 140(48.28) | |
Payment method, n(%) | Medical insurance | 1 076(78.66) | 785(81.77) | 608(83.17) | 462(87.34) | 3 239(87.75) | 257(88.62) |
Self-paying | 292(21.35) | 175(18.23) | 123(16.83) | 67(12.67) | 452(12.25) | 33(11.38) | |
Follow-up visits | 0 | 1 361 | 814 | 675 | 473 | 2 711 | 117 |
1 | 5 | 107 | 43 | 42 | 628 | 69 | |
2 | 2 | 89 | 20 | 46 | 352 | 104 | |
Treatment times | 1.20 ± 0.71 | 1.64 ± 1.06 | 1.75 ± 1.02 | 2.99 ± 1.68 | 4.32 ± 2.27 | 9.11 ± 4.18 |
Variables | Regression coefficient | 95%CI | t | P |
---|---|---|---|---|
Gender (male/female) | -0.029 | -0.076-0.179 | -1.22 | 0.223 |
Age (y), $\bar{x}±s $ | -0.006 | -0.008--0.004 | -6.30 | <0.001 |
Smoking, n(%) | -0.090 | -0.188-0.008 | -1.79 | <0.001 |
Diabetes, n(%) | -0.148 | -0.297--0.001 | -1.96 | 0.050 |
Hypertension, n(%) | -0.091 | -0.187-0.004 | -1.86 | 0.063 |
CAD, n(%) | -0.461 | -0.683--0.238 | -4.06 | <0.001 |
Severity of disease, n(%) | -0.092 | -0.125--0.060 | -5.60 | <0.001 |
Payment method, n(%) | 0.145 | 0.080-0.210 | 4.37 | <0.001 |
Table 3 Multiple regression analysis of factors affecting treatment behavior of patients with periodontitis
Variables | Regression coefficient | 95%CI | t | P |
---|---|---|---|---|
Gender (male/female) | -0.029 | -0.076-0.179 | -1.22 | 0.223 |
Age (y), $\bar{x}±s $ | -0.006 | -0.008--0.004 | -6.30 | <0.001 |
Smoking, n(%) | -0.090 | -0.188-0.008 | -1.79 | <0.001 |
Diabetes, n(%) | -0.148 | -0.297--0.001 | -1.96 | 0.050 |
Hypertension, n(%) | -0.091 | -0.187-0.004 | -1.86 | 0.063 |
CAD, n(%) | -0.461 | -0.683--0.238 | -4.06 | <0.001 |
Severity of disease, n(%) | -0.092 | -0.125--0.060 | -5.60 | <0.001 |
Payment method, n(%) | 0.145 | 0.080-0.210 | 4.37 | <0.001 |
Variables | Male(n = 3 701) | Female(n = 3 868) | Chi-squared | P | |
---|---|---|---|---|---|
Age, y, median (IQR) | 41 (32-54) | 42 (31-56) | 0.265 | 0.606 | |
Smoking, n(%) | 379 (10.24) | 23 (0.48) | 349.914 | <0.001 | |
Diabetes, n(%) | 282 (7.62) | 246 (5.10) | 4.624 | 0.032 | |
Hypertension, n(%) | 45 (1.22) | 37 (0.77) | 1.186 | 0.276 | |
CAD, n(%) | 121 (3.27) | 70 (1.45) | 16.382 | <0.001 | |
Severity of disease, n(%) | 70.256 | <0.001 | |||
1 | 1 000 (27.02) | 1 245 (32.19) | |||
2 | 1 180 (31.88) | 1 391 (35.96) | |||
3 | 1 519 (41.04) | 1 232 (31.85) | |||
Payment method | 8.507 | 0.004 | |||
Medical insurance | 3 188 (86.14) | 3 239 (83.74) | |||
Self-paying | 513 (13.86) | 629 (16.26) | |||
Follow-up visits, n(%) | 0.052 | 0.974 | |||
0 | 3 011 (81.36) | 3 140 (81.18) | |||
1 | 434 (11.73) | 460 (11.89) | |||
2 | 256 (6.92) | 268 (6.93) | |||
Treatment times, median (IQR) | 3 (1-4) | 3 (1-4) | 2.909 | 0.088 | |
Different treatments, n(%) | Group 1 | 676 (18.27) | 692 (14.34) | 67.451 | 0.672 |
Group 2 | 448 (12.11) | 512 (10.61) | 2.188 | 0.139 | |
Group 3 | 377 (10.19) | 354 (7.34) | 2.320 | 0.128 | |
Group 4 | 278 (7.51) | 251 (5.20) | 3.041 | 0.081 | |
Group 5 | 1 777 (48.01) | 1 914 (39.66) | 1.633 | 0.201 | |
Group 6 | 145 (3.92) | 145 (3.01) | 0.147 | 0.702 |
Table 4 Basic information and treatment behavior of patients of different genders
Variables | Male(n = 3 701) | Female(n = 3 868) | Chi-squared | P | |
---|---|---|---|---|---|
Age, y, median (IQR) | 41 (32-54) | 42 (31-56) | 0.265 | 0.606 | |
Smoking, n(%) | 379 (10.24) | 23 (0.48) | 349.914 | <0.001 | |
Diabetes, n(%) | 282 (7.62) | 246 (5.10) | 4.624 | 0.032 | |
Hypertension, n(%) | 45 (1.22) | 37 (0.77) | 1.186 | 0.276 | |
CAD, n(%) | 121 (3.27) | 70 (1.45) | 16.382 | <0.001 | |
Severity of disease, n(%) | 70.256 | <0.001 | |||
1 | 1 000 (27.02) | 1 245 (32.19) | |||
2 | 1 180 (31.88) | 1 391 (35.96) | |||
3 | 1 519 (41.04) | 1 232 (31.85) | |||
Payment method | 8.507 | 0.004 | |||
Medical insurance | 3 188 (86.14) | 3 239 (83.74) | |||
Self-paying | 513 (13.86) | 629 (16.26) | |||
Follow-up visits, n(%) | 0.052 | 0.974 | |||
0 | 3 011 (81.36) | 3 140 (81.18) | |||
1 | 434 (11.73) | 460 (11.89) | |||
2 | 256 (6.92) | 268 (6.93) | |||
Treatment times, median (IQR) | 3 (1-4) | 3 (1-4) | 2.909 | 0.088 | |
Different treatments, n(%) | Group 1 | 676 (18.27) | 692 (14.34) | 67.451 | 0.672 |
Group 2 | 448 (12.11) | 512 (10.61) | 2.188 | 0.139 | |
Group 3 | 377 (10.19) | 354 (7.34) | 2.320 | 0.128 | |
Group 4 | 278 (7.51) | 251 (5.20) | 3.041 | 0.081 | |
Group 5 | 1 777 (48.01) | 1 914 (39.66) | 1.633 | 0.201 | |
Group 6 | 145 (3.92) | 145 (3.01) | 0.147 | 0.702 |
Variables | Age ≤ 35 (n = 2 743) | Age > 35 (n = 4 826) | Chi-squared | P | |
---|---|---|---|---|---|
Gender (male/female) | 1 305/1 438 | 2 396/2 430 | 3.005 | 0.083 | |
Smoking, n(%) | 88 (3.21) | 314 (6.51) | 37.832 | <0.001 | |
Diabetes, n(%) | 13 (0.47) | 515 (10.67) | 280.262 | <0.001 | |
Hypertension, n(%) | 2 (0.07) | 80 (1.66) | 40.989 | <0.001 | |
CAD, n(%) | 8 (0.29) | 183 (3.79) | 87.115 | <0.001 | |
Severity of disease, n(%) | 2 100 | <0.001 | |||
1 | 1 503 (54.79) | 742 (15.38) | |||
2 | 777 (28.33) | 1 794 (37.17) | |||
3 | 463 (16.88) | 2 288 (47.41) | |||
Payment method, n(%) | 705.428 | <0.001 | |||
Medical insurance | 2 212 (80.64) | 2 396 (49.65) | |||
Self-paying | 531 (19.36) | 2430 (50.35) | |||
Follow-up visits, n(%) | 24.076 | <0.001 | |||
0 | 2 150 (78.38) | 4 001 (82.91) | |||
1 | 375 (13.67) | 519 (10.75) | |||
2 | 218 (7.95) | 303 (6.34) | |||
Treatment times, median (IQR) | 3 (1-4) | 3 (1-4) | 1.044 | 0.307 | |
Different treatments, n(%) | 180.495 | <0.001 | |||
Group 1 | 317 (11.56) | 1 051 (21.78) | 123.397 | <0.001 | |
Group 2 | 465 (16.95) | 495 (10.26) | 70.792 | <0.001 | |
Group 3 | 249 (9.08) | 482 (9.99) | 1.660 | 0.198 | |
Group 4 | 175 (6.38) | 354 (7.34) | 2.456 | 0.117 | |
Group 5 | 1 409 (51.37) | 2 282 (47.29) | 11.662 | 0.001 | |
Group 6 | 128 (4.67) | 162 (3.36) | 8.141 | 0.004 |
Table 5 Basic information and treatment behavior of patients of different ages
Variables | Age ≤ 35 (n = 2 743) | Age > 35 (n = 4 826) | Chi-squared | P | |
---|---|---|---|---|---|
Gender (male/female) | 1 305/1 438 | 2 396/2 430 | 3.005 | 0.083 | |
Smoking, n(%) | 88 (3.21) | 314 (6.51) | 37.832 | <0.001 | |
Diabetes, n(%) | 13 (0.47) | 515 (10.67) | 280.262 | <0.001 | |
Hypertension, n(%) | 2 (0.07) | 80 (1.66) | 40.989 | <0.001 | |
CAD, n(%) | 8 (0.29) | 183 (3.79) | 87.115 | <0.001 | |
Severity of disease, n(%) | 2 100 | <0.001 | |||
1 | 1 503 (54.79) | 742 (15.38) | |||
2 | 777 (28.33) | 1 794 (37.17) | |||
3 | 463 (16.88) | 2 288 (47.41) | |||
Payment method, n(%) | 705.428 | <0.001 | |||
Medical insurance | 2 212 (80.64) | 2 396 (49.65) | |||
Self-paying | 531 (19.36) | 2430 (50.35) | |||
Follow-up visits, n(%) | 24.076 | <0.001 | |||
0 | 2 150 (78.38) | 4 001 (82.91) | |||
1 | 375 (13.67) | 519 (10.75) | |||
2 | 218 (7.95) | 303 (6.34) | |||
Treatment times, median (IQR) | 3 (1-4) | 3 (1-4) | 1.044 | 0.307 | |
Different treatments, n(%) | 180.495 | <0.001 | |||
Group 1 | 317 (11.56) | 1 051 (21.78) | 123.397 | <0.001 | |
Group 2 | 465 (16.95) | 495 (10.26) | 70.792 | <0.001 | |
Group 3 | 249 (9.08) | 482 (9.99) | 1.660 | 0.198 | |
Group 4 | 175 (6.38) | 354 (7.34) | 2.456 | 0.117 | |
Group 5 | 1 409 (51.37) | 2 282 (47.29) | 11.662 | 0.001 | |
Group 6 | 128 (4.67) | 162 (3.36) | 8.141 | 0.004 |
[1] |
Mehta N, Pandit A. Concurrence of big data analytics and healthcare: a systematic review[J]. Int J Med Inform, 2018,114:57-65.
DOI URL PMID |
[2] |
Krawiec C, Marker C, Stetter C, et al. Tracking resident pre-rounding electronic health record usage[J]. Int J Health Care Qual Assur, 2019,32(3):611-620.
DOI URL PMID |
[3] |
Lee J, Ribey E, Wallace JR. A web-based data visualization tool for the MIMIC-II database[J]. BMC Med Inform Decis Mak, 2016,16:15.
DOI URL PMID |
[4] |
Armitage GC. The complete periodontal examination[J]. Periodontol 2000, 2004,34:22-33.
DOI URL PMID |
[5] |
Helmi MF, Huang H, Goodson JM, et al. Prevalence of periodontitis and alveolar bone loss in a patient population at Harvard School of Dental Medicine[J]. BMC Oral Health, 2019,19:254.
DOI URL PMID |
[6] | Ebersole JL, Graves CL, Gonzalez OA, et al. Aging, inflammation, immunity and periodontal disease[J]. Periodontol 2000,72(1):54-75. |
[7] | Alharthi S, Natto ZS, Midle JB, et al. Association between time since quitting smoking and periodontitis in former smokers in the national health and nutrition examination surveys (NHANES) 2009 to 2012[J]. J Periodonol, 2019,90(1):16-25. |
[8] |
Górska R, Dembowska E, Konopka T, et al. Correlation between the state of periodontal tissues and selected risk factors for periodontitis and myocardial infarction[J]. Adv Clin Exp Med, 2017,26(3):505-514.
URL PMID |
[9] |
Kocher T, König J, Borgnakke WS, et al. Periodontal complications of hyperglycemia/diabetes mellitus: epidemiologic complexity and clinical challenge[J]. Periodontol 2000, 2018,78(1):59-97.
DOI URL |
[10] |
Des DE, Moritz AJ, Sagun RS, et al. Scaling and root planing vs. conservative surgery in the treatment of chronic periodontitis[J]. Periodontol 2000, 2016,71(1):128-139.
URL PMID |
[11] |
Caffesse RG, Echeverría JJ. Treatment trends in periodontics[J]. Periodontol 2000, 2019,79(1):7-14.
DOI URL PMID |
[12] | Newmanr M, Takei H, Klokkevold P, et al. Carranza,s clinical periodontology[M].12th ed. Missouri: Elsevier Saunders, 2015: 52-59. |
[13] | 孟焕新. 牙周病学[M]. 5版. 北京: 人民卫生出版社, 2020: 322. |
Meng HX. Periodontology[M]. 5 ed. Beijing: People′s Medical Publishing House, 2020: 322. | |
[14] | Graziani F, Tsakos G. Patient-based outcomes and quality of life[J]. Periodotol 2000, 2020,83(1):277-294. |
[15] |
Shen XH, Vaidya A, Wu SL, et al. The diabetes epidemic in China: an integrated review of national surveys[J]. Endocr Pract, 2016,22(9):1119-1129.
DOI URL PMID |
[16] |
Lu J, Lu Y, Wang X, et al. Prevalence, awareness, treatment, and control of hypertension in China: data from 1. 7 million adults in a population-based screening study (China PEACE Million Persons Project)[J]. Lancet, 2017,390(10112):2549-2558.
DOI URL PMID |
[17] |
Jang YE, Kim CB, Kim NH. Influence of dental insurance coverage on access to preventive periodontal care in middle-aged and elderly populations: analysis of representative korean community health survey data (2011-2015)[J]. Int Dent J, 2019,69(6):445-453.
DOI URL PMID |
[18] |
Park HJ, Lee JH, Park S, et al. Changes in dental care access upon health care benefit expansion to include scaling[J]. J Periodontal Implant Sci, 2016,46(6):405-414.
DOI URL PMID |
[19] |
Perrell-Jones C, Ireland RS. What factors influence patient compliance with supportive periodontal therapy in a general practice setting?[J] Br Dent J, 2016,221(11):701-704.
DOI URL PMID |
[20] | 王兴, 冯希平, 李志新. 第四次全国口腔健康流行病学调查报告[M]. 北京: 人民卫生出版社, 2018: 106. |
Wang X, Feng XP, Li ZX. Report of the Fourth National Oral Health Epidemiological Survey[M]. Beijing: People,s Health Press, 2018: 106. |
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