The CKDu picture in Sri Lanka is certainly confusing
Amarasiri de Silva, PhD
In a bid to seek assistance from friendly countries to
combat kidney disease, the President of Sri Lanka stated in a recent meeting
that about 40, 000 people were suffering from kidney disease of unknown
etiology (CKDu) and that approximately 1000 persons succumbed to the disease
annually (Island July 29). He further stated that even though steps were taken
to improve the facilities in hospitals that attend to such patients, the number
of patients was still on the rise. The inability of the government to tame the
disease is partly due to the poor attention paid by the scientific community to
understand and explain the socio-cultural aspects of the disease.
The failure to take account of sociocultural factors in
research so far carried out on CKDu in Sri Lanka is responsible for the present
confusion and lack of understanding about the disease. Biomedical and
epidemiological scientists have led us astray by their emphasis on the search on
etiologies, and so the whole phenomenon remains an unduly difficult one to comprehend.
The scientists themselves have accepted this confusion and continue to assign a
‘u’ at the end of CKD to denote the unknown nature of the etiology of the disease.
While focusing on environmental and other factors such as
water pollution, the use of fertilizers and pesticides in agriculture, snake
bites, the use of aluminum utensils, and heredity in their analysis of CKDu,
the researchers have forgotten the human face of the disease. They often saw
the persons affected by such environmental nephrotoxins as patients – CKDu
patients in their 4th and 5th stages. Often, they merely analyzed urine and
blood samples, and carried out kidney autopsies. The most important aspect of
these patients – their personhood, their humanness, their social relationships
and culture – were completely forgotten in carrying out this scientific
research. These studies have failed to see who these ‘patients’ were, what activities,
and behaviors they engaged in, the social groups they belonged to, the
predicament that made them members of certain social groups that were affected
by the disease. Why it is that predominantly men in these groups get affected
by this disease? Why do many women in these groups not progress towards end-stage
CKDu? In order to understand how CKDu is structured in agricultural societies
in South Asia and Mesoamerica, it is important that we provide answers to these
behavioral questions.
Although scientists vary in their opinions on the
etiology of the CKDu, they all agree that the occurrence of the disease is a
result of the interface between humans and their living and working
environment. This interface is often seen in people who depend on the environment
for their livelihoods. The link between environment and livelihoods can be
understood only if we study how people make use of the environment. In other
words, what are the behaviors that people are engaged in, in order to exploit the
environment for gain? In the areas where
CKDu is prevalent, what distinguishes those who are affected from those who are
not?
Following well-structured scientific procedures with high
technology, rigorous methodologies and laboratory experiments aimed at isolating
etiologies is pertinent if CKDu is found in all segments of society. However,
the story of CKDu in Sri Lanka as well as other affected areas in the world is
that it is found in pockets or ‘islands’. This shows that CKDu occurs in specific
social settings. The simple question we have
failed to ask so far is why this disease occurs in certain social groups and
not in others. The scientists have never asked who these CKDu patients are; where
they come from; what they do for a living; and whether those affected share common
social and cultural characteristics. If we were able to answer these simple
questions, we would also be able to address many of the challenging issues surrounding
CKDu. So far, these questions remain
unanswered.
The article published in BMC Nephrology by Jayatilake et al in 2013 (Chronic kidney disease
of uncertain aetiology: prevalence and causative factors in a developing country)
is the published form of the widely discussed WHO study on CKDu in Sri Lanka.
Although involved a huge investment in research, this investigation did not provide
a comprehensive understanding of CKDu, partly due to its inability to answer these
sociocultural questions and the failure to comprehend the behavioral component
of the disease. It is important to consider why it failed to incorporate the sociocultural
and behavioral components into the analysis.
A cross-sectional study: Although Jayatilake’s
article is based on a cross-sectional study that randomly selected 100
households from twenty-two villages in three districts, it failed to discuss
how the study brings into focus the social and cultural makeup of the village
communities and agricultural resettlements in the affected districts. No
description is given of the type of villages chosen, or how they represent
different socio-cultural zones of the affected districts. An analysis of
community types, in both case and control groups, is necessary, as CKDu is
socially and culturally situated in certain segments of the affected districts.
One could argue that, since ‘patients’ were randomly selected from the affected
districts, they would inevitably include people from all walks of society. But
the problem is that the sample was not broken down into socio-cultural groups
and, therefore, the most important variables of such groups were not included in
the analysis.
Prevalence: The overall prevalence of CKDu was 15.3% with a higher
prevalence in females (16.8%) than males (13.3%) (p < 0.05). More severe
grades of CKDu were seen more frequently in males (grade 3: males vs. females
=19.9 vs. 5.3%, grade 4: males vs. females = 16.1 vs. 3.8%). In both sexes, prevalence was higher with
increasing age (p < 0.05). This shows that less severe grades were more
prevalent in females. If so, with age increase will there be more females with
severe stages of CKDu? The article states that male sex has been reported to be
a risk factor for progression to end-stage renal disease. This is interesting but
the article does not elaborate on this very important behavioral factor
associated with male farmers. If this aspect were dealt with, it would have
brought in important socio-cultural factors associated with CKDu.
The magnitude of the affected population as discussed in
this publication becomes questionable. For example, based on 15.1% prevalence
rate, how do we square the figure of 129,291 people affected in Anuradhapura
alone (the prevalence rate of CKDu in Anuradhapura District as mentioned in the
article was 15.1%), as implied by the WHO study, with the much lower numbers
reported for hospital attendance? Are we really to believe that, in a country
such as Sri Lanka where seeking medical treatment is a well-established
practice, so many people affected by the disease refrain from going to
hospital? This would suggest that, taking Anuradhapura alone with a total
population of 856,232 (Census and Statistics 2011), the CKDu positive
population increased from around 21,000 in 2011 (based on data provided by
Chandrajith (2011) where prevalence of 18 years and over was 2-3%) to over 129,291
in 2012, a 516% increase over one year.
The WHO data indicate that the prevalence of the disease
is higher among females, but this is not corroborated by any other research
carried out so far. Demographic information collected by Jayasekara et al
(2013) from Northern Region clinics, covering 11,323 patients, shows that the
male: female ratio among those suffering from the disease was 2.4:1. Other
published research also shows that males form the majority of the affected
population. A review of published findings from El Salvador, Nicaragua,
Costa Rica, Sri Lanka, Egypt and India (Almaguer et al 2014) shows that prevalence
was generally higher in male farmworkers aged 20–50 years.
The samples were drawn from three locations for the cross
sectional study. They were the CKDu confirmed patients from CKDu affected
locations, non CKDu people from the affected locations and a third sample from
Hambantota, which is a non CKDu affected area. However, the research design did
not allow a sample of CKDu patients from a non-affected area. The 4th
category is important as the disease is now spreading into newer locations
beyond areas that are already identified as high incidence locations.
CKDu and Occupation: When separate logistic regressions were run for each
potential exposure, only occupation type (being a farmer increased odds by
19.5%) and type of agriculture (paddy cultivation compared to cultivation of
vegetables and other crops decreased odds by 26.8%) were shown as significant. Most
important to see how means of production of people in these farming communities
are related to CKDu. In an agrarian society such as rural Sri Lanka, the
means of production are the soil (land) and the plough (labor). The fact that
whether these farmers own land, if so how much or whether they were owner
farmers or they were wage laborers was not mentioned. However, the fact that
those who cultivated chena land (highland for vegetables – slash and burn
cultivation -- being a chena cultivation farmer increased the OR by 19.5%,
while engaging in paddy cultivation compared to cultivation of vegetables and
other crops [chena cultivation] decreased the OR by 26.8%) had the higher rate
of CKDu. This shows that the disease was higher in percentages among poor slash
and burn farmers who do not own or own only a little paddy land and were poor
laborers. This is a very important aspect, and if analyzed would have given
much needed socio-cultural information on the social standing of the affected
people (more than just patients) and their socio-cultural location in the
communities.
The article
concludes that ‘the risk was reduced in individuals who were male or who
engaged in paddy cultivation (OR = 0.745, 95% CI = 0.562 to 0.988 and OR =
0.732, 95% CI = 0.542 to 0.988 respectively, P < 0.05). This is misleading
for the very fact that paddy cultivation is regarded as one simple variable in
the analysis. Paddy agriculture is a complex variable, which has many different
forms, which cuts across land ownership, type of tenure and wage labor. Paddy
agriculture constitutes
many types such as owner farmers, wage laborers, tenants, lessees, partnership
caretakers and mortgagers etc. If the variable paddy agriculture were fragmented
into simple variables of different types of paddy agricultural work, picture
would have been different and more realistic. However, a majority of studies
show that there is a link between paddy agriculture and CKDu. Most critical
statements made in the article says ‘…In the present study, older age, being
female and being a chena cultivation farmer increased the risk of CKDu’ (p9).
In simple language, it says that the females who are older and engage in chena
cultivation display a high risk for CKDu. It would have been good if age
related odd ratios were provided in Table 2 to better understand the argument.
In Table 2, none of the OR were significant with years of engagement in
agriculture is interesting, and one would therefore, tend question the validity
of the above statement that being an older age female chena farmer is a risk
for CKDu. Table 1 on page 3 says the
mean Age (years) of CKDu patients was 39.1 (SD14.2). In 2013 Jayasekara et al,
in a study of 796 and 67 patients from Padaviya and Nikawewa respectively,
conclude that the mean age of CKDu patients was 54.7 years. Two years after
studying three cohorts of population in the North Central Province, Jayasekara
et al (2015) were able to establish reliability of the mean age statistic of
CKDu patients as 54.7 years. It is problematic for the reader to understand why
the WHO study deviated from other studies with respect to the mean age of CKDu
patients and the identification of gender of the majority of patients.
Ground water and CKDu: The article says ‘CKDu occurs in areas where groundwater is the main
source of drinking water’, but failed to account for this factor. The only
thing that they say is that it may be because of high concentration of fluoride
in ground water. They borrow findings from other researchers to support their
hypothesis, but their study did not invest in testing out this hypothesis. This
explanation is a camouflage used by the article to hide their inability to
prove cadmium availability in excess of the recommended amounts in well water.
The faults in sampling of wells for water testing has created this situation in
this study. The study by Jayasumana et al (2015) examined water quality of
abandoned old wells in the endemic areas and found that they had a very high
cadmium content in water.
The lessons we
learn from this critique of the WHO study are many. First, it is important to explore
the social and cultural characteristics of the affected population. Especially
when a disease entity is affecting a particular region and a social segment of
the society one of the first steps is to find out who these people (as opposed
to patients) are, why they are prone to this particular disease. Second, we
must recognize the importance of both social and cultural dimensions in
delineating etiologies, and, therefore, research of this nature must be
multi-disciplinary. There should be complete exchange of data and findings
among different researchers from wide array of disciplines. Assigning a sociocultural
component of the study to an isolated group, as in the case of the WHO study, would
not bring the socio-cultural aspects of the disease into central focus. The article we reviewed showed that the
sociological study of the WHO project did not lead to deep understanding in the
final published document of the project, apparently because of absence of
exchange of fundamental ideas and data between the groups. Finally, pursuing
etiologies prior to a sophisticated social and cultural analysis (or risk
factor analysis as epidemiologists say) of the regional problem is premature in
disease entities such as the CKDu which are regionally and socially confined
diseases. In order to better serve the purpose of evidenced based policy and
programming in diseases that are localized in certain communities, it is
necessary that the researchers should have a better informed community focus in
their research.

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