Skip to main content Skip to main navigation menu Skip to site footer

Radar plot analysis of Helicobacter pylori detection in North Peninsular Malaysia

  • Che Wan Sharifah Robiah Mohamad ,
  • Yahya Mat Arip ,
  • Uyub Abdul Manaf ,
  • Marni Azera Markon ,

Abstract

Introduction: Helicobacter pylori (H. pylori) infection is one serious disease that could result in complications such as gastritis, peptic ulcer and gastric cancer. Both invasive and non-invasive methods have been used to detect the infection, however the best detection depends on the clinical setting. One way to determine this is by graphical radar plot analysis, as it provides practical and useful data for many clinical aspects. The aim of this study was to investigate the prevalence rate of H. pylori ureA genotypes infection with a graphical technique.

Method: We conducted a cross-sectional study in which data was collected from patients with infection symptoms in north peninsular Malaysia. All eligible subjects were required to perform a simple clinical procedure to provide their cell and saliva samples. Subjects were also examined by the medical staff based on their symptoms. Detection of H.pylori in the samples were conducted with three different detection methods such as culture, biopsy, saliva and the combination of thee three methods.

Results: Biopsies were cultured and revealed 19.2% (48/250) of the patients had H. pylori infection. However, when PCR and culture were combined, the prevalence of H. pylori infection jumped by three times to 59.6% (149/250), indicating that PCR on biopsies and saliva was more sensitive. Males who were not Malay and Malay males in the age range of 41 to 60 were found to have significantly different rates of H. pylori infection (p 0.05), according to age group. According to ethnicity, 49.5% (28/58) Malay men were infected compared to 68.1% (62/91) non-Malaysia men (p0.05), while there was no difference between 64.2% (34/53) non-Malaysia women and 51.1% (23/45) Malay women.

Conclusion: This study found that saliva method is accurate for the identification of H. pylori. This approach has several advantages that could be helpful to patients worldwide, thus diagnosis and treatment can be done earlier to prevent complications.

References

  1. International Agency for Research on Cancer WHO. Schistosomes, liver flukes and Helicobacter pylori. IARC working group on the evaluation of carcinogenic risks to human. Lyon, 7-14 June 1994. IARC Monogr Eval Carcinog Risks Hum. 1994;61:1-241.
  2. Abadi AT and Kusters JG. Management of Helicobacter pylori infection. BMC Gastroenterol. 2016;16: 94.
  3. McNicholl AG, Ducons J, Barrio J, Bujanda L, Forne-Bardera M, Aparcero R, et al. Accuracy of the Ultra-Rapid Urease Test for diagnosis of Helicobacter pylori infection. Gastroenterol Hepatol. 2017;40(10): 651-657.
  4. Kignel S, de Almeida Pina F, André EA, Alves Mayer MP, Birman EG. Occurrence of Helicobacter pylori in dental plaque and saliva of dyspeptic patients. Oral diseases. 2005;11(1), 17-21.
  5. Savyon Diagnostics. H. pylori Saliva Test. 2021. Retrieved at https://www.savyondiagnostics.com/product/h-pylori-saliva-test-rapid-test/ on June 2021.
  6. Syam AF, Miftahussurur M, Uwan WB, Simanjuntak D, Uchida T, Yamaoka Y. Validation of urine test for detection of Helicobacter pylori infection in Indonesian population. BioMed research international. 2015.
  7. Yoshii S, Mabe K, Watano K, Ohno M, Matsumoto M, Ono S, et al. Validity of endoscopic features for the diagnosis of Helicobacter pylori infection status based on the Kyoto classification of gastritis. Digestive Endoscopy. 2020;32(1):74-83.
  8. Shichijo S, Endo Y, Aoyama K, Takeuchi Y, Ozawa T, Takiyama H, et al. Application of convolutional neural networks for evaluating Helicobacter pylori infection status on the basis of endoscopic images. Scandinavian journal of gastroenterology. 2019;54(2):158-163.
  9. Lee JW, Kim N, Nam RH, Lee SM, Kwon YH, Sohn SD, et al. Favorable outcomes of culture‐based Helicobacter pylori eradication therapy in a region with high antimicrobial resistance. Helicobacter. 2019;24(2):e12561.
  10. Vesga FJ, Moreno Y, Ferrús MA, Campos C, Trespalacios AA. Detection of Helicobacter pylori in drinking water treatment plants in Bogotá, Colombia, using cultural and molecular techniques. International journal of hygiene and environmental health. 2018;221(4):595-601.
  11. Brennan, DE, Omorogbe J, Hussey M, Tighe D, Holleran G, O’Morain C, et al. Molecular detection of Helicobacter pylori antibiotic resistance in stool vs biopsy samples. World journal of gastroenterology. 2016;22(41):9214.
  12. Pichon M, Tran CT, Motillon G, Debiais C, Gautier S, Aballea M, Burucoa C. Where to biopsy to detect helicobacter pylori and how many biopsies are needed to detect antibiotic resistance in a human stomach. Journal of Clinical Medicine. 2020;9(9):2812.
  13. Saary MJ. Radar plots: a useful way for presenting multivariate health care data. Journal of Clinical Epidemiology. 2008;60:311-317.
  14. Morshed MG, Karita M, Konishi H, Okita K, Nakazawat T. Growth medium containing cyclodextrin and low concentration of horse serum for cultivation of Helicobacter pylori. Microbiology and Immunology. 1994;38 (11):897 – 900
  15. Piccolomini R, Di Bonaventura G, Festi D, Catamo G, Laterza F, Neri MJ. Optimal combination of media for primary isolation of Helicobacter pylori from gastric biopsy specimens. Journal of Clinical Microbiology. 1997;35:1541 – 154
  16. Graham DY, Malaty HM, Evans DG, Evans Jr DJ, Klein PD, Adam E. Epidemiology of Helicobacter pylori in an asymptomatic population in the United States: effect of age, race, and socioeconomic status. Gastroenterology. 1991;100(6):1495-1501.
  17. Pilotto A and Franceschi M. Helicobacter pylori infection in older people. World Journal of Gastroenterology: WJG. 2014;20(21):6364.
  18. Paramita AL, Setiawan F, Sandhika W, Mertaniasih NM, Kawilarang AP, Utomo B. Helicobacter pylori detection in gastric biopsy: immunohistochemistry and toluidine blue comparison. Bali Medical Journal. 2023;12(1):1094-7.

How to Cite

Mohamad, C. W. S. R., Arip, Y. M. ., Manaf, U. A. ., & Markon, M. A. . (2023). Radar plot analysis of Helicobacter pylori detection in North Peninsular Malaysia. Bali Medical Journal, 12(2), 1867–1871. https://doi.org/10.15562/bmj.v12i2.4334

HTML
22

Total
10

Share

Search Panel

Che Wan Sharifah Robiah Mohamad
Google Scholar
Pubmed
BMJ Journal


Yahya Mat Arip
Google Scholar
Pubmed
BMJ Journal


Uyub Abdul Manaf
Google Scholar
Pubmed
BMJ Journal


Marni Azera Markon
Google Scholar
Pubmed
BMJ Journal