Literature DB >> 31587553

Stool Consistency: Looking Beyond the Bristol Stool Form Scale.

Lisa Vork1, Ellen Wilms1, John Penders2, Daisy M A E Jonkers1.   

Abstract

Entities:  

Year:  2019        PMID: 31587553      PMCID: PMC6786442          DOI: 10.5056/jnm19086

Source DB:  PubMed          Journal:  J Neurogastroenterol Motil        ISSN: 2093-0879            Impact factor:   4.924


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TO THE EDITOR: With great interest we have read the article of Chen et al1 on the effects of Lactobacillus casei Shirota on stool consistency in constipated patients. Apart from an improvement of constipation-related symptoms, they also showed a clear interaction between baseline Bristol stool form scale (BSFS) consistency levels and baseline relative abundance of Lachnoclostridium, Lachnospiraceae UCG-004, Pseudobutyrivibrio, and Ruminiclostridum 5. In line with this observation, an increasing number of studies use BSFS to correct for differences in fecal consistency in microbiome analyses. The generalizability of this patient-reported tool is however unclear. The BSFS has been developed in the early 90s as a surrogate marker of whole-gut transit time (WGTT) and has been recommended for the use as such in both clinical and research settings.2,3 Although initially designed for WGTT, the BSFS is often used as a measure of stool consistency. Recently, Blake et al4 studied the correlation between BSFS and fecal water content in 169 healthy adults and reported a high correlation (r = 0.701) when BSFS was assessed by trained experts. However, the correlation was only moderate (r = 0.491) when BSFS was self-reported, underlining the importance of inter-rater differences and experience when using the BSFS. The authors recommended that further research is required in order to assess reliability in different patient groups and to make comparisons with other methods.4 We suggest fecal dry weight content (ie, percentage dry weight after 4–5 hours vacuum drying 0.5 g feces at 60°C) as a more objective alternative to determine stool consistency. Excellent reproducibility of this method was found by repeating the procedure for 20 samples, showing an intraclass correlation coefficient of 0.948. We then compared patient-reported BSFS with fecal dry weight content in a pooled dataset including 122 stool samples of healthy volunteers and 67 samples of irritable bowel syndrome patients. We found a correlation of −0.411 in the total dataset, with a lower correlation in healthy subjects (r = −0.337) compared to irritable bowel syndrome (r = −0.536). Furthermore, in a subgroup of healthy elderly (70–85 years, n = 21) the correlation was −0.233, pointing towards possible difficulties in rating stool consistency within specific subgroups. In conclusion, we consider the BSFS to be a helpful tool in daily clinical practice as it is a quick and easy patient-reported measure of WGTT, and can be used as a surrogate marker for stool consistency. However, one should be aware of the relatively low correlation between the BSFS and more objective measures of stool consistency, and the considerable inter-rater error when using the BSFS. Therefore, when analyzing stool consistency in scientific studies, we suggest considering more objective assessments such as fecal dry weight or water content.
  4 in total

1.  Stool form scale as a useful guide to intestinal transit time.

Authors:  S J Lewis; K W Heaton
Journal:  Scand J Gastroenterol       Date:  1997-09       Impact factor: 2.423

2.  Validity and reliability of the Bristol Stool Form Scale in healthy adults and patients with diarrhoea-predominant irritable bowel syndrome.

Authors:  M R Blake; J M Raker; K Whelan
Journal:  Aliment Pharmacol Ther       Date:  2016-08-05       Impact factor: 8.171

3.  An office guide to whole-gut transit time. Patients' recollection of their stool form.

Authors:  K W Heaton; L J O'Donnell
Journal:  J Clin Gastroenterol       Date:  1994-07       Impact factor: 3.062

4.  Differential Effects of Lactobacillus casei Strain Shirota on Patients With Constipation Regarding Stool Consistency in China.

Authors:  Shanbin Chen; Yangwenshan Ou; Liang Zhao; Yang Li; Zhenxing Qiao; Yanling Hao; Fazheng Ren
Journal:  J Neurogastroenterol Motil       Date:  2019-01-31       Impact factor: 4.924

  4 in total
  3 in total

Review 1.  Preclinical experimental models for assessing laxative activities of substances/products under investigation: a scoping review of the literature.

Authors:  Patiwat Kongdang; Dumnoensun Pruksakorn; Nut Koonrungsesomboon
Journal:  Am J Transl Res       Date:  2022-02-15       Impact factor: 4.060

2.  Upregulated adenosine 2A receptor accelerates post-infectious irritable bowel syndrome by promoting CD4+ T cells' T helper 17 polarization.

Authors:  Li-Wei Dong; Zhi-Chao Ma; Jiao Fu; Bai-Li Huang; Fu-Jin Liu; Deming Sun; Cheng Lan
Journal:  World J Gastroenterol       Date:  2022-07-07       Impact factor: 5.374

3.  How to Count Our Microbes? The Effect of Different Quantitative Microbiome Profiling Approaches.

Authors:  Gianluca Galazzo; Niels van Best; Birke J Benedikter; Kevin Janssen; Liene Bervoets; Christel Driessen; Melissa Oomen; Mayk Lucchesi; Pascalle H van Eijck; Heike E F Becker; Mathias W Hornef; Paul H Savelkoul; Frank R M Stassen; Petra F Wolffs; John Penders
Journal:  Front Cell Infect Microbiol       Date:  2020-08-07       Impact factor: 5.293

  3 in total

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