Correlation of saliva characteristics and caries in beta-thalassemia major patients

https://doi.org/10.22146/majkedgiind.45969

Siti Rusdiana Puspa Dewi(1*), Sherly Septhimoranie(2), Suryadi Muchzal(3)

(1) Department of Biomedical Science, Dentistry Study Programme, Faculty of Medicine, Universitas Sriwijaya, Palembang, South Sumatra
(2) Dentistry Study Programme, Faculty of Medicine, Universitas Sriwijaya, Palembang, South Sumatra
(3) Department of Dental Public Health, Dentistry Study Programme, Faculty of Medicine, Universitas Sriwijaya, Palembang, South Sumatra
(*) Corresponding Author

Abstract


A patient with beta-thalassemia major is known to have poor oral hygiene and a high risk of caries. Some studies showed that patients with beta-thalassemia have low salivary flow rate and acidic saliva. A reduction in salivary flow rate and pH would increase caries susceptibility. The aim of this study was to determine the correlation between salivary flow rate and pH with DMFT index in patients with beta-thalassemia major. This study was a cross-sectional design. A total of 38 patients with beta-thalassemia major aged more than 12 years old at Dr. Mohammad Hoesin Palembang Hospital were included in this study. Their unstimulated saliva was collected by spitting methods, and the teeth were examined with DMFT Index. The salivary flow rate was expressed as ml/min and the pH was measured using a saliva pH indicator paper. Data were analyzed using Pearson correlation test to determine the correlation between variables. The result showed that the mean age of the patients in this study was 16.6 years old, with a higher number of female patients than males. Patients with beta-thalassemia major had low salivary flow rate (0.72 ml/5 min), acidic saliva (6.34), and high DMFT index (8.34). This correlation was statistically significant (p<0.01). It can be concluded that there is a strong negative relation between DMFT index with salivary flow rate and salivary pH in patients with beta-thalassemia major.

Keywords


beta-thalassemia major; DMFT; salivary flow rate; salivary pH

Full Text:

PDF


References

1. Widowati W, Akbae SH, Tin MH. Saliva pH changes in patients with high and low caries risk after consuming organic (sucrose) and non-organic (maltitol) sugar. IIUM Medical Journal Malaysia. 2013; 12(2): 15-21. doi: 10.31436/imjm.v12i2.504

2. A’yun Q, Hendrartini J, Supartinah A. Pengaruh keadaan rongga mulut, perilaku ibu, dan lingkungan terhadap risiko karies pada anak. Majalah Kedokteran Gigi Indonesia. 2016; 2(2): 86-94. doi: 10.22146/majkedgiind.11267

3. Suratri MAL, Jovina TA, Tjahja IN. Pengaruh (pH) saliva terhadap terjadinya karies gigi pada anak usia prasekolah. Buletin Penelitian Kesehatan 2017; 45(4): 241-248. doi: 10.22435/bpk.v45i4.6247.241-248

4. Galanello R, Origa R. Beta-thalassemia. Orphanet J Rare Dis. 2010; 5: 11-19.
doi: 10.1186/1750-1172-5-11

5. Al-Jobouri HS, Al-Casey M. Selected salivary constituent among 16-18 years patients with beta thalassemia major in relation to oral disease. J Bagh College Dentistry. 2011; 23(2): 124-7.

6. Sushma K, Arora M, Abhilasha D, Kushal R. Orodental complication and orofacial
manifestation in children and adolescents with thalassemia major of western Rajasthan population: a comparative study. Int J Biol Med Res. 2012; 3(2): 1816-1819.

7. Shooriabi M, Zareyee A, Gilavand A, Mansoori B, Dehdezi BK. Investigating DMFT indicator and its correlation with the amount of serum ferritin and hemoglobin in students with betathalassemia major in Ahvaz, South West of Iran. Int. J. Pediatr. 2016; 4(3): 1519-1527. doi: 10.22038/ijp.2016.6595

8. Patidar KA, Parwani RN, Wanjari SP. Correlation of salivary and serum IgG, IgA
levels with total protein in oral submucous fibrosis. J. Oral Sci. 2011; 53(1): 97-102. doi: 10.2334/josnusd.53.97

9. Hauke J, Kossowski T. Comparison of values of Pearson’s and Spearman’s correlation coefficient on the same sets of data. Quaestiones Geographicae. 2011; 30(2): 87-93

10. Bhatia P, Nagar V, Meena JS, Singh D, Pal DK. A study on the demographic and morbidity patterns of thalassemia patients registered data tertiary-care center of central India. Int J Med Sci Public Health. 2015; 4(1): 85-88.
doi: 10.5455/ijmsph.2015.1009201417

11. Diwan JM, Mohammad ZJ. Study of salivary IgA concentrations, salivary flow rate in patients with β–thalassemia major in Missan Governorate. JBCD. 2015; 27(3): 55-57.

12. Ansari S, Baghersalimi A, Azarkeivan A, Nojomi M, Rad AH. Quality of life in patients with thalassemia major. Iran J Ped Hematol Oncol. 2014; 4(2): 57-63

13. Poengoet BNSR, Sungkar E, Pandji TD. Quality of life in thalassemia major patients: reliability and validity of Indonesian version of tranQol questionnaire. IJIHS. 2017; 5(2): 72-79. doi: 10.15850/ijihs.v5n2.1011

14. Canatan D, Akdeniz SK. Iron and ferritin levels in saliva of patients with thalassemia and iron deficiency anemia. Mediterr J Hematol Infect Dis. 2012; 4(1): e2012051. doi: 10.4084/MJHID.2012.051

15. Bhat AA, Parwani NR, Wanjari SP. Demonstration of iron in exfoliated buccal
cells of β-thalassemia major patients. J Cytol. 2013; 30(3): 169–173.
doi: 10.4103/0970-9371.117662

16. Agha-Hosseini F, Shirzad N, Moosavi MS. Evaluation of Xerostomia and salivary flow rate in Hashimoto’s Thyroiditis. Med Oral Patol Oral Cir Bucal. 2016; 21(1): e1–e5. doi: 10.4317/medoral.20559

17. Hans R, Thomas S, Garla B, Dagli RJ, Hans MK. Effect of various sugary beverages on salivary pH, flow rate, and oral clearance rate amongst adults. Scientifica (Cairo). 2016; 2016: 1-6. doi: 10.1155/2016/5027283

18. Reddy JM, Gayathri R, Priya VV. Variation in salivary pH and buffering capacity of saliva in normal and diabetes mellitus patients - A pilot study. Drug Invention Today. 2018; 10(6): 895-898.

19. Kumar B, Kashyap N, Avinash A, Chevvuri R, Sagar MK, Shrinkant K. The composition, function, and role of saliva in maintaining oral health: A review. Int J Contemp Dent Med Rev. 2017; 2017: 1-7. doi: 10.15713/ins.ijcdmr.121

20. Helmi N, Bashir M, Shireen A, Ahmed IM. Thalassemia review: features, dental
considerations, and management. Electron Physician. 2017; 9(3): 4003-4008.
doi: 10.19082/4003

21. Basha KPN, Shetty N, Shenoy UV. Prevalence of hypoparathyroidism (HPT) in betathalassemia major. J Clin Diagn Res. 2014; 8(2): 24–26.
doi: 10.7860/JCDR/2014/6672.3997

22. Wong HM, Peng SH, Wen YF, King NM, McGrath CPJ. Risk factors of developmental defects of enamel-a prospective cohort study. PLoS One. 2014; 9(10): e109351. doi: 10.1371/journal.pone.0109351

23. Fine DH. Lactoferrin: A roadmap to the borderland between caries and periodontal disease. J Dent Res. 2015; 94(6): 768-776. doi: 10.1177/0022034515577413

24. Moslemi M, Sattari M, Kooshki F, Fotuhi F, Modarresi N, Sadrabad ZK, Shadkar
MS. Relationship of salivary lactoferrin and lysozyme concentrations with early childhood caries. J Dent Res Dent Clin Dent Prospects. 2015; 9(2): 109–114.
doi: 10.15171/joddd.2015.022

25. Hemadi A, Huang R, Zhou Y, Zou J. Salivary proteins and microbiota as biomarkers for early childhood caries risk assessment. J Oral Sci. 2017; 9: 1-6.
doi: 10.1038/ijos.2017.35

26. Krunića J, Stojanovića N, Stojićc ND. Salivary flow rate and decayed, missing, and filled teeth (DMFT) in female patients with schizophrenia on chlorpromazine therapy. Journal of Dental Sciences. 2013; 8(4): 418-424. doi: 10.1016/j.jds.2013.05.004

27. Nasiru WO, Taiwo JO, Ibiyemi O. Salivary flow rate, buffering capacity and dental caries among 6-12 year-old school children, age and gender in Nigeria: A comparative study. IOSR JDMS. 2019; 18(1): 72-79.

28. Abuaffan AH. Dental caries among Sudanese children with beta-thalassemia major. Hong Kong J Pediatr. 2018; 1(1): 14-17.



DOI: https://doi.org/10.22146/majkedgiind.45969

Article Metrics

Abstract views : 1511 | views : 2160

Refbacks

  • There are currently no refbacks.




Copyright (c) 2020 Majalah Kedokteran Gigi Indonesia

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.


Currently, Majalah Kedokteran Gigi Indonesia indexed by:

        

 

 

 

 

 

 View My Stats


real
time web analytics