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Herramienta para el diagnóstico de cumplimiento de requisitos SQF módulo 11

3.1 Background and aims

As has been mentioned in the literature review it now appears that recurrent acute

diarrhoeal diseases are probably not the cause o f long-term growth faltering in the

tropics (Briend et al., 1989, Moy et al., 1994a). However, there is still evidence that

diarrhoeal disease may be the an important cause o f growth faltering (Lutter et al.,

1989). Diarrhoeal episodes however, are still regarded as an important indicator o f

intestinal disease. Poskitt et al (Poskitt et al., 1999) has described a fall in the

prevalence o f acute diarrhoeal disease based on clinic data but we do not know what

the prevalence is from a community based survey. In view o f the fact that there is

evidence that diarrhoeal disease patterns are changing, there is a need to ascertain

whether or not the previously described lack o f association between diarrhoeal disease

and intestinal permeability still holds true.

The aim o f the first section o f this chapter was to use a community based diarrhoea

survey (rather than a clinic based one by Poskitt et al) to estimate the subject

prevalence of diarrhoea for the cohort o f Keneba children and to related this to

intestinal permeability and biochemical markers o f systemic inflammation (acute

phase reactants and immunoglobulins). This would confirm or refute the lack o f

association between growth and acute diarrhoeal disease in Keneba children.

Patients see section 2.1.3

Diarrhoeal survey see section 2.4.2.

Lactulose-mannitol permeability see 2.5.5

Anthropometry see section 2.5.2

Biochemistry see section 2.6

3.1.3 Statistical analysis

The main unit o f measurement to quantify diarrhoea used was the mean monthly

subject diarrhoea prevalence, which is the mean days with diarrhoea for each child

standardised to a 30.45 day month. Diarrhoea was defined as (see section 2.4.2) the

mothers’ (or main child carer’s impression o f change in bowel habit towards increase

in stool frequency and looseness. This definition has been previously used in The

Gambia by Rowland et al (Rowland et al., 1985, Rowland et al., 1986)

Associations between continuous variables were tested using linear regression. Growth

was defined as a change in height or weight standard deviation score over the whole of

the study period (response variable) expressed as a monthly rate and a summary o f

intestinal permeability, acute phase proteins and immunoglobulins were the predictor

variables. Summary of predictor variables was done by taking the mean o f all

measurements across the study period.

Normality was tested using Bartlett’s test. Log transformation was undertaken in non-

parametrically distributed variables.

For all analyses one subject was excluded who had a subject prevalence for diarrhoea

>4 standard deviations from the cohort mean. No specific cause for the very heavy

burden o f diarrhoea in this child was identified, and he subsequently developed

kwashiorkor and died at 18 months o f age. He was negative for HIV antibodies at that

3.1.4 Results

Seventy-one children were studied, but 5 from the study cohort were excluded as they

were followed for less than 3 months. The mean duration o f follow up was 7.5 months

with a standard deviation o f 2.8 (range 13-3.5 months). There was a clear seasonal

pattern to the diarrhoea but this did not strictly follow the rainy season (late June to

September). Fig 3.1 shows the change in diarrhoea prevalence over a 12 month period.

October to February, during the cool dry season, has the lowest rates o f diarrhoea with

the average child having diarrhoea about 5 % o f the time. A sustained rise in diarrhoea

morbidity above the October to February rates is seen between May and June, before

the rains begin but this escapes significance {P = 0.09).

The highest incidence of diarrhoea comes during the heaviest rains in August and

September rising to a peak mean monthly prevalence o f 18 % in August more than 3

fold higher than the period between October to February. However the diarrhoea

prevalence seems to rise at least 4 months before the rains start and not fall until the

August peak has finished.

The mean diarrhoea prevalence across the whole year is 0.83 days per week ( SD 0.67 )

with a range o f 0.1 - 3.6 days / week. This is equal to 12 % o f the time across a

calendar year slightly higher than the value o f 9.8 % previously quoted by Lunn et al

(Downes et al., 1991).

Significant relationships exist between number o f days with diarrhoea (after log

transformation) and number o f days with vomiting (r = 0.49, P < 0.05), but not with

fever, which correlated more strongly with vomiting (r = 0.76, P < 0.001).

Change in weight and height z-score was not significantly associated with the average

There was also no association between the mean monthly subject prevalence for

diarrhoea and the mean L:M permeability over the survey period. This was repeated

for % recovery o f both lactulose and mannitol and again there was no significant

association.

Comparisons between permeability values for each child were made by summarising

the serial estimates in to a mean for each child. There was no significant relationship

between permeability and average days with diarrhoea per week by linear regression.

Measurements o f immunoglobulins, albumin, G/art/za-specific IgM, haematocrit,

alpha-1 -antichymotrypsin and GRP estimates were summarised by taking the mean

values for individual subjects across the survey period and compared to the mean

number o f days with diarrhoea per month for each child. Immunoglobulin subclasses

IgG and IgM were significantly related to the diarrhoea morbidity {r = 0.70 P = 0.02;

r = 0.65, P = 0.03 respectively) but IgA was not (P = 0.07). Days with diarrhoea were

not significantly related to mean C-reactive protein haematocrit, ACT but approached

significance for Gzarcfza-specific IgM (P = 0.06).

3.1.5 Discussion

This survey confirms the commonly held belief that diarrhoeal disease is still very

prevalent in West Africa. Published data from similar surveys carried out in the USA

suggest that children between 6-18 months have 1-3 attacks o f diarrhoea per year

lasting up to 3 days giving a total o f 9 days or 2% over one year (Roubenhoff and

Rosenberg, 1991). This is substantially less than the 12 % estimated by this survey.

This study has not shown any evidence o f a decrease in the subject prevalence since

1994 (Lunn et al., 1995) however much o f the reduction reported by Poskitt et al came

diarrhoea may explain the divergence in the results reported by Poskitt et al and this

present study. It is likely that a twice weekly visit to the compound would gain a

higher estimate than at a 2 monthly clinic visit. This study also used a less rigid

definition o f diarrhoea than the study by Poskitt et al, which would tend to lead to a

higher estimate of diarrhoea prevalence.

Seasonal climatic and social changes are important in the pattern o f diarrhoeal

morbidity with peak rates coming during August (the month o f maximal rain fall).

However, the seasonal rise in diarrhoea begins in May and June before the rains

commence, but during the period when mothers are away from the children preparing

the fields for farming. During the pre-rainy season rise in diarrhoea, the young children

are left in the care o f a child nurse maid who may only be 7 years old (Weaver and

Beckerleg, 1993, Beckerleg, 1993). Infants could be left in the care o f nurse maids for

long periods o f time with the food being prepared in the morning and continuing from

the same bowl for the entire day. By evening the bacterial loads are extremely high and

the consumption o f the gruel puts the infant at risk o f gastrointestinal infection

(Rowland and Barrell, 1978).

This study has confirmed the previous reports that there is no association between

diarrhoeal disease and growth and diarrhoeal disease and intestinal mucosal damage

assessed by L:M permeability. There are at least two possible explanations. Firstly

L:M rises in a non-specific way in any small bowel inflammatory condition, but is

probably not affected by colonic pathology (Elia et al., 1991), which may cause

diarrhoeal disease. Secondly, the lack o f diarrhoeal disease in coeliac disease is well

established, so that even histologically grossly abnormal mucosa can exist in a subject

without diarrhoeal symptoms for years. Potentially the same scenario exists for tropical

marker o f small bowel mucosal damage, or that there were other confounding causes

o f acute phase response.

Mean immunoglobulin levels are significantly related to diarrhoeal prevalence with

higher values seen in children with the greater diarrhoea morbidity, indicating that

diarrhoeal disease is associated with detectable systemic inflammatory activity.

However the acute phase proteins CRP and ACT were not related to diarrhoea

prevalence suggesting that full scale activation o f the reticulo-endothelial system does

not occur with most bouts o f common diarrhoea in Gambian children.

Giardia-s^QQiüo IgM mean levels had a positive relationship to subject diarrhoea

prevalence that approaches significance and supports the idea that Giardiasis is an

important cause o f diarrhoeal disease. The role o f Giardia in causing enteropathy and

growth faltering in rural Gambia will be discussed in chapter 4 in more detail.

3.1.6 Conclusion

Diarrhoeal disease is not associated with long-term growth performance in Gambian

infants, neither is it related to the degree o f small bowel mucosal damage as assessed

by the L:M test. However mean levels o f circulating immunoglobulins (IgM and IgG

in particular) are positively related to subject diarrhoea prevalence, indicating that a

U l A

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K a

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Q 20 r

Mean days with diarrhoea as a percent o f a standardized m onth August '96-Jiilv '97

Jan Fe b Mar Apr May June July Aug S e p t Oct Nov De c

Chapter 3.2

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