14 days) were used
[9]. The abstracts on acute diarrhea were further stratified into those
with controls and without controls. Control population was defined
separately in different studies as ‘Non-diarrheal’ or ‘healthy
controls’. Control population in studies with persistent diarrhea
included healthy children or those with acute diarrhea. Narrative
reviews and isolated case reports were dropped from analysis but
information was considered for discussion. Few studies were retrieved
which analyzed microbiological flora from stool samples. These studies
were included if samples were obtained from pediatric patients. Few
studies had included only children with cryptosporidiosis to analyze
risk factors associated with transmission. These were also retained for
analysis.
The data collected was stratified and tabulated.
Results
Acute Diarrhea
Epidemiological features in studies with
non-diarrheal controls
The prevalence of cryptosporidiosis was reported over
a broad range across different studies at both hospital and community
level. We identified a total of 33 studies (Web
Table I) [6,10-44], which had enrolled both diarrheal (cases)
and non-diarrheal (control) children (23-hospital based, 9
community-based). The prevalence was higher and varied from 1.7-35%
among those with diarrhea than 0.4-15.6% in children without diarrhea,
from LMIC Asia and Africa. The prevalence among diarrheal cases from
certain high-income and high- to middle-income countries was found
comparable (11.2% from Venezuela [34], 18% from Mexico [20] and 27% from
Brazil [43]) to that in developing countries. This wide range of
prevalence could result from different time frames of each study –
prospective or cross-sectional, different methods used for diagnosis,
and special efforts made to detect the organism in studies reporting
high prevalence. Detection improved with additional methods like
auramine staining [31,43], and direct or indirect fluorescence using
monoclonal antibodies [44]. Among case-control studies, a higher
prevalence was seen among hospitalized children than in community.
However, Katsumata, et al. [33] from Indonesia detected higher
prevalence in community than hospital diarrheal samples (8.2% and 2.8%,
respectively).
As per hospital data, the prevalence was higher among
cases in studies which enrolled children below five years (1.4-46%) of
age than those with age range till adolescence (4.1-17%). However, two
studies reported higher prevalence in the older age group than the
younger. Wang, et al. [14] evaluated concurrent infections (Giardia,
E. bieneusi and C. difficile) in children during an outbreak
of cryptosporidium in China with a point prevalence of 51%. This
exaggerated prevalence was related to outbreak, and was not indicative
of true overall prevalence [14]. Mirzaei, et al. [18] also
reported 35% prevalence in children below 15 years over a 3-month
period, which was higher than that seen in adults in his study. The age
distribution of subjects below 15 years was unavailable [18].
Cryptosporidium was also detected in asymptomatic
controls at both hospital and community setting, though at a
significantly lower prevalence (0-6%; Web Table I) than
cases. Two studies from Africa detected higher prevalence of infection
in controls than that reported by other studies, (8.5% [23] and 15.6%
[27]); however, the positivity rate was less than that in cases.
Among the community-based studies, a higher
prevalence was seen in cases (3.8-45%) than controls (1.7-4%). A higher
prevalence (two-fold) of infection in controls than cases was reported
from Thailand [36,38], which was probably an incidental occurrence that
signified the burden of latent infection among asymptomatic children
below five years of age. Both studies had used enzyme immunoassays for
detection, with sensitivity of more than 95% in the latter [38].
The median prevalence in community-based studies was
almost similar to hospital-based data. However, two studies which had
evaluated younger children (below 2 years) reported high prevalence in
community (45% and 27.8%, respectively) [43,44]. The only case-control
study from India was from Varanasi, which had recruited total 1136
children aged below 5 years. The detection of cryptosporidium was 3.8%
in cases and 1.7% in controls (OR 2.94; P <0.01) [42].
Epidemiological features in studies without controls
A relatively greater number of studies (49) were
found which described epidemiological patterns in diarrheal children
without simultaneous enrolment of controls – 24 hospital-based and 25
community-based (Web Table II) [46-97]. The detection rate
was generally higher in community-based studies (0.1%-45%) than
hospital-based studies (1.4%-18.9%). The detection rate was greater in
studies which used additional diagnostic methods over acid-fast
staining, varying from 18.7% with direct fluorescence [65], 18.9% with
Immunocard [53], 42.4% with antigen detection kit [88], and 45% with
direct fluorescence using monoclonal antibody [44]. The detection rate
improved from 4% with routine microscopy to 28% with immunoassay in an
Indian study [47]. Prevalence was higher if study had enrolled
immunocompromised seropositive children [71], or those attending
day-care center [65,80]. Detection was also greater if stool samples
were analyzed within few days of occurrence of index case (20%) [90].
Clinical features of infection
Cryptosporidiosis occured frequently in younger than
older children in most of studies. On further age-stratification,
children aged below 2 years of age were more predisposed to infection (Web
Tables I and II). The vulnerability in this age group may
be explained by diminished maternal antibody protection and increased
exposure to pathogens by virtue of their feeding practices. The Indian
data in GEMS study identified attributable-fraction of cryptosporidiosis
in moderate-to-severe diarrhea as being second highest after rotavirus,
in children aged 0-11 months and 12-23 months (Rotavirus 27 and 25.4,
and cryptosporidium 11.7 and 8.4 weighted percent of total diarrheal
episodes, respectively) [5]. The annual burden of cryptosporidiosis in
Indian children aged below 2 years was estimated to 3.9–7.1 million
diarrheal episodes, 66.4–249.0 thousand hospitali-zations, and 5.8–14.6
thousand deaths [5]. Few studies did not find any significant
association with age [24-26]. Almost all studies precluded the role of
gender as a predisposing factor (Web
Tables I and II).
Among infants who presented with acute diarrhea due
to cryptosporidium, fever, nausea and abdominal distension were commonly
seen, but not dehydration [20]. Similarly, in children younger than 5
years, fever and vomiting were commoner findings unlike dehydration
[23,24,41,45,70]. The diarrheal pattern in cryptospori-diosis was mainly
watery diarrhea (Web
Tables I and II).
Few studies also reported mucoid stools in children with
cryptosporidiosis [32,69]. A study from slums in Southern India reported
prolonged oocyst shedding in 40% of children affected with repeated
cryptosporidial infections, which may adversely impact growth during
childhood [84]. Diarrhea due to cryptosporidium had a propensity for
prolonged course [26,31,34,62,86], and its detection rate in stool
samples was higher in children with persistent diarrhea than in acute
diarrhea [27] (Web Table III). The subtype C. hominis
was associated with longer duration of diarrhea while C. parvum
resulted in more systemic features [86].
Risk factors
Malnutrition: The relation between malnutrition
and cryptosporidiosis is bi-directional. Cryptosporidium impairs
nutrient absorption and results in growth failure and stunting [2], as
has also been documented in prospective studies [44,97]. In addition,
higher isolation rate of cryptosporidium is seen among malnourished
children, defined as low weight-for-age, height-for-age or
weight-for-height, in different studies [6,23,27,31, 43,56,62,70].
Kirkpatrick, et al. [28] concluded both underweight and stunting
as stronger risk factors for infection than wasting, and also found
vitamin A deficiency as a risk factor [28]. Mondal, et al. [85]
found underweight as a more significant risk factor than stunting among
289 slum children from Bangladesh [85]. Even stunting at birth was a
significant risk factor among slum children at Bangladesh [77]. Two
studies from Bangladesh [24,30] and one from Brazil [41] did not
conclude any significant relation with anthropometric variables. One of
these studies [24] measured growth cross-sectionally, while another [30]
had a short follow-up period of three months. Two separate studies did
not find any association with baseline weight or height, but documented
a significant detrimental effect on weight and height on follow-up (P<0.02),
notably in infants [43,97].
Immunodeficiency: It is a predisposing
factor for various opportunistic infections, including cryptosporidium
[98]. The prevalence of cryptosporidiosis among children seropositive
for HIV from India was reported as 29% in those with diarrhea, 14% in
those without diarrhea and nil in seronegative subjects [99]. The
prevalence varied from 5.2% [52] to 18% [71,89] as per different
studies. However, cryptosporidium detection had no relation to
HIV-positivity in some studies [31,49,83]. The GEMS study also detected
cryptosporidium as a significant diarrheal pathogen regardless of HIV
status [5]. A case-control study from Italy did not find any child with
cryptosporidiosis to be immune-deficient [45]. The literature suggests
that though most cryptosporidial infections occur in children who are
not immunodeficient, seropositive children have a higher predisposition
to the infection [12]. The risk of infection reduces in seropositive
children with administration of Highly active antiretroviral therapy
(HAART) [positivity HAART-0%, Non-HAART 3.9%]. Low CD 4 counts (<350
cells/ mm3) increased the risk of infection in the latter group [OR 13
(95% CI 10.5 to 97.6), P<0.01] [46].
Environment and sociodemographic factors: The
geographical distribution has not been conclusively established as a
risk factor for cryptosporidiosis. Rural environment is considered
favourable for transmission of intestinal infections due to suboptimal
sanitary facilities, frequent animal exposure, and limited access to
safe water [2,73]. However, urban areas are also at-risk because of
possibility of contamination of water supply systems. Abu-Alrub, et
al. [17] found higher prevalence of cryptosporidium among children
dwelling in rural/refugee area in Palestine, but data from Malawi,
Africa [2], did not report any difference in prevalence of
cryptosporidiosis in rural or urban area.
Socio-demographic factors are likely to play a more
important role than mere geographical distribution, as cryptosporidiosis
is a zoonotic infection. Contact with cattle and cats is a significant
risk factor as reported in both hospital-based [21,33], and
community-based studies [39,73,76,83]. A village-based study from
Odisha, India reported cattle to contribute maximum to environmental
load of oocysts than dogs and cats [73]. However, few studies did not
find any significant association with animal exposure
[23,24,32,40,55,90]. In addition, contact with contaminated water in
public swimming places was reported as a risk factor as per adult
surveillance data across US and Australia [22,39,40]. Asymptomatic
infection was detected in a significant proportion of children residing
in slum area of Vellore, Southern India (28.4%) [84], postulated to
result due to compromised hygiene and sanitation services. However,
contrary to the belief of protection against infection with use of
packaged water, studies from Vellore, India [75] and the West [39,40]
have reported lack of association between the two (adjusted RR = 0.86;
95% CI, .60-1.23) [75]. They postulated multiple transmission pathways
from asymptomatic infected controls than drinking water source. The
environmental factors reported as risk factors for infection include
swimming in public pools and contact with cattle [73] or with another
person with diarrhea [39,40]. Both hospital- and community-based surveys
did not find other environmental factors like food hygiene, presence of
sewage [65] and socio-demographic factors like maternal education
[27,84] and socio-economic status [84] as risk factors for
cryptosporidium.
Rainy humid environment has been found more conducive
for parasitic growth, survival and transmission [33,58,60]. However,
hospital-based studies from India and Pakistan reported higher
occurrence of infection in hot summer months with no relation to
humidity [51,55]. As per a multi-site study across India, prevalence of
cryptosporidiosis had positive association with minimum and maximum
temperature, but negative with relative humidity. These differences were
appreciable in areas with seasonal temperature fluctuations only [55].
Jagai, et al. [100] concluded presence of both high ambient
temperature (seen in temperate countries) and high rainfall (seen in the
tropics) as contributory seasonal factors for infection. The MAL-ED
study from 8 sites in World reported peak incidence of cryptosporidium
coincident with peak diarrheal season at respective sites. Thus, it may
not be season alone but unhygienic practices also which are responsible
for propagation of infection [35].
Persistent Diarrhea
Cryptosporidiosis has a propensity for prolongation
of the diarrheal episode [24]. Initial studies from India in 1990s did
not report increased isolation of cryptosporidium in children with
persistent diarrhea, unlike Giardia [101]. However, these studies used
modified acid-fast staining for documenting cryptosporidium in stool
samples. Recent studies from other parts of world have used better
detection methods than simple microscopy and found higher prevalence of
cryptosporidium in persistent diarrhea (16-31%) [102,103], with
prevalence being higher than that in acute diarrhea (Web
Table III) [101-117].
The risk factors identified for development of
persistent diarrhea in cryptosporidiosis include young age (<2 years)
[21,100] and lack of breastfeeding [106]; Vomiting and dehydration were
other clinical features that were seen in a significant proportion of
these children [24,106,109].
Persistent diarrhea negatively impacts nutritional
status in children in terms of weight, height and weight for height
[110]; few studies have reported an association between this condition
and cryptosporidiosis [108]. The pre-infection weight and height of
children presenting with diarrhea was found comparable in different
studies, irrespective of positivity of cryptosporidiosis [24,97]. Both
Mølbak, et al. [97] and Lima, et al. [110] documented
significant growth faltering in children with cryptosporidium
infections, suggesting a two-way association of malnutrition with
cryptospori-diosis. Among infants, there was a greater faltering in
height on follow-up till 180 days (though not statistically significant)
unlike weight loss which remained similar on follow-up till 180 days
[97].
Immunodeficiency is reported as an important risk
factor for cryptosporidiosis in persistent diarrhea [108]. A
hospital-based study at Uganda found significantly higher odds of
cryptosporidium in HIV-positive than HIV-negative children with
persistent diarrhea (OR 44.36; 95% CI 18.39 to 110.40). The risk of
infection was also higher in those with low CD4 cell count (<25%) than
those with higher CD4 counts (OR 6.45; 95% CI 3.28 to 12.76). The
authors also commented on higher isolation of C. parvum species
in children with HIV than C. hominis (OR 0.167; 95% CI 0.036 to
0.771) [102].
Discussion
The present review compiles available evidence on
epidemiology of cryptosporidium diarrhea in the pediatric age group. The
prevalence of cryptosporidium in pediatric diarrhea is high in
both acute and persistent diarrhea, being higher in the latter group.
The available evidence concluded young age, malnutrition and certain
socio-demographic factors as associated risk factors, with inconclusive
association with exposure to animals and sanitation. HIV-positivity has
a definite association with cryptosporidium in persistent, but not
necessarily in acute diarrhea.
The UNICEF fact sheet 2014 mentions diarrhea among
top four causes of under-five mortality in children in world,
contributing to 9% of total deaths. India alone contributes to 21% of
all under-five deaths globally [1]. As per GEMS study,
Cryptosporidium spp., which were initially thought to be only
opportunistic protozoal infection, have now been identified as the third
leading cause of moderate to severe diarrhea, ranking after rotavirus
and Shigella, and are associated with an increased risk of death in
children aged 12-23 months [5]. Recent secondary analysis of data from
the GEMS study, which analyzed over 15,000 stool samples showed annual
incidence (per 100 child years) of cryptosporidiosis varying from
2.52-4.88% to 3.18-3.48% in less-severe and moderate to severe diarrhea,
respectively in infants. The incidence was lesser (1.36-1.41%) among
toddlers with moderate to severe diarrhea but similar (4.04-4.71%) in
those with less severe diarrhea [118]. The attributable incidence (per
100 child years) in less severe diarrhea from India was reported as 4.73
(0.61–8.86) in those <11 months and as 3.43 (-0.78-7.64) in children
aged 12-23 months. The odds of risk of cryptosporidiosis in moderate
diarrhea varied with age as 2.44 (1.34-4.44), 3.22 (1.90-5.47) and 2.19
(1.23-3.87) in children aged < 6months, 6-11 months and 12-17 months,
respectively [118]. Further, the authors estimated around 202,000
cryptosporidium-attributable deaths, with around 59,000 excess deaths
occuring among cryptosporidium-attributable diarrhea cases over expected
if cases had been cryptosporidium-negative.
In most recent studies, a significant proportion of
healthy children with diarrhea were detected positive for
cryptosporidium. The protozoan was also detected in mixed infections.
Thus, screening for cryptosporidium should be contemplated in settings
of prolonged or persistent diarrhea. Lack of specific clinical signs or
pattern of illness also justifies its screening. In addition to
diarrhea, cryptosporidium had significant impact on childhood growth in
both symptomatic and asymptomatic infections with greater severity in
symptomatic infection than asymptomatic infection [44]. This devastating
effect on growth after cryptosporidial infection is attributed to
impaired intestinal absorption due to mucosal inflammation, which gets
worsened in malnourished children [4].
We have not systematically addressed certain key
areas like diagnosis and treatment in this review. Microscopy using
modified acid-fast staining is a cheap and readily available method,
though its sensitivity gets compromised with lack of good staining,
visual expertise and parasitic load. Fluorescent staining with auramine
stains improve detection but may affect specificity, which can be
overcome with immunoflourescent stains [4]. The GEMS study – the largest
ever study of etiology of acute diarrhea, which documented a high
prevalence of cryptosporidium – also used immunoassays for detection of
Cryptosporidium spp. and Giardia [119]. The literature
demonstrates better sensitivity and specificity of serological and
molecular methods over conventional microscopic examination of oocysts
[6,38,47,49,54]. Martin-Ampudia, et al. [120] detected
cryptosporidium in 62 (15.5%) stool samples with additional
parasitological testing. This indicated under-notification of
cryptosporidiosis and highlighted the need for its routine testing in
children. Only one study reported false positive results with EIA over
microscopy [57]. Molecular analysis, mostly based on 18S rRNA, can
differentiate different species. The high cost and need for technical
expertise limits its use to research settings [4].
The limitations of the present review are include
search strategy limited to PubMed; lack of quality assessment of
studies; and absence of a meta-analysis. Moreover, some more studies
might be available since the last date of search for this review. There
is clinical heterogeneity among included studies in terms of study
population, geographical areas, time frames and microbiological methods
used for diagnosis of cryptosporidium infection. We identified the
following research areas: prevalence of cryptosporidium infection in
diarrhea from community-based studies in low- to middle-income
countries; longitudinal studies documenting short-term and long-term
outcomes of children suffering from cryptosporidium infection; and
development of rapid, sensitive and cost-effective kits for detection of
cryptosporidium. Moreover, specific treatment options for
cryptosporidiosis are still limited. The difficulty in in vitro
propagation of cryptosporidium is a major obstacle in developing
specific therapeutic agents, in addition to lack of standardized animal
models [4]. An exaggerated pro-inflammatory cell-mediated immune
response with elevated levels of interleukin 8,10,13 and tumor necrosis
factor-
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