A Bayes Study of Bile Acid Constituents on Cholelithiasis and Carcinoma of the Gallbladder

Authors

  • Richa Srivastava Department of Statistics, Banaras Hindu University, Varanasi‐221005, India
  • Satyanshu K. Upadhyay Department of Statistics and DST Centre for Interdisciplinary Mathematical Sciences, Banaras Hindu University, Varanasi‐221005, India
  • Vijay K. Shukla Department of General Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi‐221005, India

DOI:

https://doi.org/10.6000/1929-6029.2014.03.01.8

Keywords:

Bile acid constituents, Cholelithiasis, Gallbladder carcinoma, Logistic regression model, Vague prior, Odds ratio, Posterior simulation

Abstract

Background: Significantly high concentration of secondary bile acids and low concentration of primary acids are reported by the surgeons in patients with gallbladder carcinoma (GBC) compared to control and cholelithiasis groups.

Aim: To examine the effect of primary and secondary bile acids on the development of cholelithiasis and GBC and to investigate the association, if any, among the two groups of bile acids.

Methods: The study uses two groups of patients at a time selected in accordance with some pre-fixed inclusion and exclusion criteria. Informed consent was obtained from all patients. The demographic characteristics such as mean age, sex ratio and body mass index, etc. are obtained for the selected groups of patients. The study defines dichotomous responses and the four bile acid constituents, namely cholic acid (CA), chenodeoxycholic acid (CDCA), deoxycholic acid (DCA) and lithocholic acid (LCA), as the predictors. It then assumes logistic regression model to associate the binary responses with the predictors by using probability scores. Bayes analysis is developed using Markov chain Monte Carlo (MCMC) pack in R software for the posterior simulation.

Results: Twenty one cholelithiasis patients and twenty patients in each of control and GBC groups are studied. It is seen that a unit decrement in the level of CA (CDCA) increases the log (odds ratio) for cholelithiasis by an amount of 0.49 (0.14) and odds ratio by almost 1.5 (1.12). Similarly, a unit increment in the level of DCA (LCA) provides the log (odds ratio) for cholelithiasis as 0.18 (1.3) and odds ratio as 1.16 (2.95). Comparing GBC with control population, it is noted that a unit decrease in the level of CA (CDCA) in the control population increases the log (odds ratio) for GBC by an amount of 1.16(0.26) and odds ratio by almost 2.63 (1.24) times. Similarly, the log(odds ratio) for GBC increases by 0.77(1.94) and the odds ratio increases by 1.9 (5.0) for the unit increment in the level of DCA(LCA).

Conclusions: The study observes relatively high variations in the primary and secondary bile acids in the cholelithiasis and GBC groups as compared with the control group. It, in turn, reflects strong association among the two categories of bile acids in gallbladder diseases.

Author Biographies

Richa Srivastava, Department of Statistics, Banaras Hindu University, Varanasi‐221005, India

Department of Statistics

Satyanshu K. Upadhyay, Department of Statistics and DST Centre for Interdisciplinary Mathematical Sciences, Banaras Hindu University, Varanasi‐221005, India

Department of Statistics

Vijay K. Shukla, Department of General Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi‐221005, India

Department of General Surgery, Institute of Medical Sciences

References

Pandey M, Shukla VK. Gallbladder Cancer. New Delhi: Jaypee 2004. http://dx.doi.org/10.5005/jp/books/10321 DOI: https://doi.org/10.5005/jp/books/10321

Shukla VK, Khandelwal C, Roy SK, et al. Primary carcinoma of gallbladder: A reviews of 16 year period at the university hospital. J Surg Oncol 1985; 28: 32-35. http://dx.doi.org/10.1002/jso.2930280109 DOI: https://doi.org/10.1002/jso.2930280109

Gupta SK, Ansari MA, Shukla VK. What makes the gangetic belt a fertile ground for gallbladder cancers? (Letter to the editor). J Surg Oncol 2005; 91: 143-44. http://dx.doi.org/10.1002/jso.20292 DOI: https://doi.org/10.1002/jso.20292

deStoll M. Rationis mendendi in nosocomine practico vindobonensi. Part I. Vienna, Bernardi 1777.

Adson MA. Carcinoma of gallbladder. Surg Clin N Am 1973; 53: 1203-206. DOI: https://doi.org/10.1016/S0039-6109(16)40147-7

Hart J, Shani M, Mohan B. Epidemiological aspect of gallbladder and biliary tract neoplasm. Am J Pub Health 1972; 62: 36-39. http://dx.doi.org/10.2105/AJPH.62.1.36 DOI: https://doi.org/10.2105/AJPH.62.1.36

Hart J, Madan B. Factors affecting survival of patients with gallbladder neoplasm. Arch Intern Med 1975; 129: 931-34. http://dx.doi.org/10.1001/archinte.1972.00320060079009 DOI: https://doi.org/10.1001/archinte.129.6.931

Dixit R, Srivastava P, Basu S, et al. Association of mustard oil as cooking media with carcinoma of the gallbladder. J Gastrointest Cancer 2012; 1-5.

Basu S, Priya R, Singh TB, et al. Role of nicotine in gallbladder carcinoma: A preliminary report. J Digest Dis 2012; 13(10): 536-40. http://dx.doi.org/10.1111/j.1751-2980.2012.00623.x DOI: https://doi.org/10.1111/j.1751-2980.2012.00623.x

Cook JW, Kennaway EL, Kennaway NM. Production of tumours in mice by deoxycholic acid. Nature 1940; 145: 627-28. http://dx.doi.org/10.1038/145627a0 DOI: https://doi.org/10.1038/145627a0

Reddy BS, Narisawa T, Weisburger J, et al. Promoting effect of sodium deoxycholic on colon adenocarcinimas in germ free rats. JNCI 1976; 56: 441-42. DOI: https://doi.org/10.1093/jnci/56.2.441

Shukla VK, Tiwari SC, Roy SK. Biliary bile acids in cholelithiasis and carcinoma of the gallbladder. Eur J Cancer Prevent 1993; 2: 155-60. http://dx.doi.org/10.1097/00008469-199303000-00008 DOI: https://doi.org/10.1097/00008469-199303000-00008

Makkar P. Bayesian Solutions of Some Medical Data Problems. Unpublished Ph.D. thesis, Department of Statistics, Banaras Hindu University, India 2009.

Irvin JL, Johnston CG, Kopala I. A photometric method for the determination of cholates in bile and blood. J Biol Chem 1944; 153: 439. DOI: https://doi.org/10.1016/S0021-9258(18)71986-8

Upadhyay SK, Gupta A, Dey DK. Bayesian modeling of bathtub shaped hazard rate using various Weibull extensions and related issues of model selection. Sankhya: Ind J Statist 2012; 74(B): Part I, 15-43. DOI: https://doi.org/10.1007/s13571-012-0041-4

Upadhyay SK, Vasishta N, Smith AFM. Bayes inference in life testing and reliability via markov chain Mante Carlo simulation. Sankhya: Ind J Statist 2001; 63(A), pt. 1, 15-40.

Ott RL, Longnecker M. An Introduction of Statistical Methods and Data Analysis, sixth edition. Brooks/Cole,Cengage Learning, USA 2010.

Kozoni V, Tsioulias G, Rigas B. The effect of lithicholic acid on proliferation and apoptosis during the early stages of colon carcinogenesis:Differential effect on apoptosis in the presence of colon carcinogen. Carcinogenesis 2000; 21(5): 999-1005. http://dx.doi.org/10.1093/carcin/21.5.999 DOI: https://doi.org/10.1093/carcin/21.5.999

Cook JW, Haslewood GA. Conversion of a bile acid into a hydrocarbon derived from 1,2-benzanthracene. Chem Ind Rev 1933; 11: 758-59. http://dx.doi.org/10.1002/jctb.5000523802 DOI: https://doi.org/10.1002/jctb.5000523802

Hill MJ. Bacteria and the etiology of colon cancer. Cancer 1974; 34: 815-18. http://dx.doi.org/10.1002/1097-0142(197409)34:3+<815:: AID-CNCR2820340705>3.0.CO;2-6 DOI: https://doi.org/10.1002/1097-0142(197409)34:3+<815::AID-CNCR2820340705>3.0.CO;2-6

Sharma V, Chauhan VS, Nath G, et al. Role of bile bacteria in gallbladder carcinoma. Hepatogastroenterology 2007; 54(78): 1622-25.

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Published

2014-01-31

How to Cite

Srivastava, R., Upadhyay, S. K., & Shukla, V. K. (2014). A Bayes Study of Bile Acid Constituents on Cholelithiasis and Carcinoma of the Gallbladder. International Journal of Statistics in Medical Research, 3(1), 66–73. https://doi.org/10.6000/1929-6029.2014.03.01.8

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General Articles