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The pH of human faeces is variable but the average is pH 6.6 for normal faeces. [1] [2] A lower faecal pH (very acidic stool) can indicate a digestive problem such poor absorption of carbohydrates or fats, [3] lactose intolerance, [4] an infection such as E. coli or rotavirus, or overgrowth of acid-producing bacteria (such as lactic acid bacteria).
Stool osmotic gap is a measurement of the difference in solute types between serum and feces, used to distinguish among different causes of diarrhea. Feces is normally in osmotic equilibrium with blood serum, which the human body maintains between 290–300 mOsm/kg. [ 1 ]
The Bristol stool scale is a medical aid designed to classify the form of human feces into seven categories. Sometimes referred to in the UK as the Meyers Scale, it was developed by K.W. Heaton at the University of Bristol and was first published in the Scandinavian Journal of Gastroenterology in 1997. [4]
This is an accepted version of this page This is the latest accepted revision, reviewed on 10 January 2025. Medical system for classifying human faeces Medical diagnostic method Bristol stool scale Bristol stool chart Synonyms Bristol stool chart (BSC); Bristol Stool Scale (BSS); Bristol Stool Form Scale (BSFS or BSF scale); Purpose classify type of feces (diagnostic triad for irritable bowel ...
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A stool test is a medical diagnostic technique that involves the collection and analysis of fecal matter. Microbial analysis (culturing), microscopy and chemical ...
Faecal calprotectin (or fecal calprotectin) is a biochemical measurement of the protein calprotectin in the stool.Elevated faecal calprotectin indicates the migration of neutrophils to the intestinal mucosa, which occurs during intestinal inflammation, including inflammation caused by inflammatory bowel disease.
The standard definition of a reference range for a particular measurement is defined as the interval between which 95% of values of a reference population fall into, in such a way that 2.5% of the time a value will be less than the lower limit of this interval, and 2.5% of the time it will be larger than the upper limit of this interval, whatever the distribution of these values.