O‘TKIR PERIODONTITNING BOLALARDA TARQALISHI VA DAVOLASH NATIJALARINI MODELLASHTIRISH: FARG'ONA VODIYSI MISOLI

Nuriddin Najmiddinovich Qutibiddinov; Irabonu Shavkat qizi Kamoliddinova; Madinabonu Azizillo qizi Ne'matova

Vol. 1 No. 7 (2025), Articles

Vol. 1 No. 7 (2025)

O‘TKIR PERIODONTITNING BOLALARDA TARQALISHI VA DAVOLASH NATIJALARINI MODELLASHTIRISH: FARG'ONA VODIYSI MISOLI

Articles

Published 2025-10-30

Nuriddin Najmiddinovich Qutibiddinov⁺⁻
Irabonu Shavkat qizi Kamoliddinova ⁺⁻
Madinabonu Azizillo qizi Ne'matova⁺⁻

Nuriddin Najmiddinovich Qutibiddinov

Emu 2-kurs magistranti Qo'qon universiteti Andijon fliali Stomatologiya kafedrasi assistenti

Irabonu Shavkat qizi Kamoliddinova

Qo‘qon universiteti Andijon filiali Stomatologiya yo‘nalishi Klinik fanlar kafedrasi assistenti

Madinabonu Azizillo qizi Ne'matova

Qo'qon universiteti Andijon fliali Stomatologiya kafedrasi assistenti

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Keywords

surunkali periodontit,
epidemiologiya,
bolalar stomatologiyasi,
Farg‘ona viloyati,
ekologik omillar,
diagnostik mezonlar,
immunoglobulinlar,
matematik-kartografik modellashtirish,
xavf darajasi.

How to Cite

O‘TKIR PERIODONTITNING BOLALARDA TARQALISHI VA DAVOLASH NATIJALARINI MODELLASHTIRISH: FARG’ONA VODIYSI MISOLI. (2025). JOURNAL OF ANALYTICAL SYNERGY AND SCIENTIFIC HORIZON, 1(7), 92-105. https://www.universalpublishings.com/index.php/jassh/article/view/14041

Abstract

Farg‘ona viloyati bolalar aholisida surunkali periodontitning tarqalishi ekologik omillar, stomatologik yordam darajasi va atmosfera ifloslanishiga bog‘liq holda o‘rganildi. Tadqiqot davomida hududlar kasallanish ko‘rsatkichi va xavf darajasi bo‘yicha tasniflandi. Surunkali periodontitni aniqlash uchun diagnostik mezonlar ishlab chiqildi, bu esa tekshiruv hajmini kamaytirishga imkon berdi. Matematik-kartografik modellashtirish asosida patologiyaning hududiy tarqalish qonuniyatlari aniqlandi va yuqori xavfli zonalar belgilandi. Shuningdek, so‘lakdagi IgA, sIgA, IgG va IgM immunoglobulinlari hamda limfotsitlar foizining diagnostik ahamiyati isbotlandi, bu bolalarda surunkali periodontitni aniqlash samaradorligini oshirdi.

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References

1. American Academy of Pediatric Dentistry. Guideline on pulp therapy for primary and immature permanent teeth. Pediatr Dent. 2016;38(6):280-8.

2. Ng YL, Mann V, Gulabivala K. A prospective study of the factors affecting outcomes of nonsurgical root canal treatment. Int Endod J. 2011;44(11):1026-38.

3. World Health Organization. Oral health surveys: basic methods. 5th ed. Geneva: WHO; 2013.

4. O'zbekiston Respublikasi Sog'liqni saqlash vazirligi. Stomatologiya xizmati ko'rsatkichlari. Toshkent; 2023.

5. Schwendicke F, Samek W, Krois J. Artificial Intelligence in Dentistry: Chances and Challenges. J Dent Res. 2020;99(7):769-774.

6. Aminoshariae A, Kulild JC. Evidence-based recommendations for antibiotic usage to treat endodontic infections. J Am Dent Assoc. 2016;147(3):186-91.

7. Al-Malik MI, Holt RD, Bedi R, Speight PM. Investigation of an index to measure tooth wear in primary teeth. J Dent. 2001;29(2):103-7.

8. Petersen PE, Lennon MA. Effective use of fluorides for the prevention of dental caries in the 21st century. Bull World Health Organ. 2004;82(9):670-6.

9. Selwitz RH, Ismail AI, Pitts NB. Dental caries. Lancet. 2007;369(9555):51-9.

10. Brandtzaeg P. Secretory IgA: Designed for Anti-Microbial Defense. Front Immunol. 2013;4:222.

11. Fouad AF, Levin LG. Pulpal Reactions to Caries and Dental Procedures. In: Hargreaves KM, Berman LH, editors. Cohen's Pathways of the Pulp. 12th ed. St. Louis: Elsevier; 2020. p. 573-97.

12. Schwendicke F, Golla T, Dreher M, Krois J. Convolutional neural networks for dental image diagnostics. J Dent Res. 2019;98(8):837-44.