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Record W2542145858 · doi:10.5339/qfarc.2016.hbsp1531

Enteric Protozoa Associated with Acute Diarrhea in Hospitalized Children in Qatar

2016· article· en· W2542145858 on OpenAlexaboutno aff
Amal Ibrahim, Shaikha Alabduljabbar, Marawan Abou Madi

Bibliographic record

VenueQatar Foundation Annual Research Conference Proceedings Volume 2016 Issue 1 · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicParasitic Infections and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsDiarrheaMedicineVomitingDysenteryBloody diarrheaAcute diarrheaPediatricsInternal medicineAbdominal painShigellaCryptosporidiumFecesMicrobiologyBiology

Abstract

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Introduction: Diarrhea is the passage of three or more watery stool in a period of 24 hours (WHO, 2013). Types of diarrhea include acute watery diarrhea, acute bloody diarrhea known as dysentery and persistent diarrhea (WHO, 2013). It is caused by an infection of different pathogens including bacteria, viruses and parasites through fecal–oral transmission (WHO, 2013). Moreover, it can also be caused by food intolerance to certain food substances and as a side effect of certain medications such as laxatives (Burton & Ludwig, 2015). Diarrhea occurrence is most frequently associated with conditions of poor environmental sanitation and hygiene, poverty, inadequate water supply and limited education (Nelson & Masters, 2014). Worldwide, acute diarrhea disease is considered as the second cause of mortality and morbidity in children according to the World Health Organization (WHO, 2013). In 2012, WHO reported 1.9 million diarrheal cases in children aged under the age of five accounting for 18% of all deaths. The clinical manifestations of diarrhea in pediatric patients include abdominal pain, nausea, vomiting and fever (WGO, 2012 & Maas et al., 2014). Diarrhea in children can lead to many consequences such as malnutrition, diminished growth and impaired cognitive development (WGO, 2012). Severe diarrhea can also result in life-threatening dehydration (Galvao et al., 2013). Thus it is important to replace the fluid and electrolytes by oral rehydration solution. Diarrhea is usually self-limiting. However, in cases of diarrhea persisting for longer than 1 week, broad-spectrum antimicrobial agents are administered to treat bacterial and parasitic infection (Koletzko & Osterrieder, 2009). Intestinal protozoa that are most commonly associated with diarrhea in children include Blastocyst, Dientamoeba fragilis, Giardia lamblia, Cryptosporidium species and Entamoeba species (Maas et al., 2014). Having updated information about the prevalence of these protozoan parasitic infections will aid in faster diagnosis and thus treatment. - Research question and objectives: Research Question: What are the most common protozoa and the risk factors for diarrhea in children under the age of 15 admitted to Hamad Medical Corporation (HMC). Objectives: To identify the prevalence of protozoa pathogen and the risk factors such as gender, age, season and geographical region associated with diarrhea in children. Materials and methods: Study subjects and sample collection: A total of 391 Diarrheal stool samples were collected from March-July 2015 in a sterile container from pediatrics patients (0- 15 years) admitted to HMC with diarrhea. The samples were transported on ice by Dr. Abu Madi's research group and frozen immediately at -70 °C. All required ethical approvals for the project were obtained from Medical Research Centre. - Stool examination: To recover the DNA of the enteric pathogens samples were thawed at +4 °C and 200 mg of the stool sample where weighed in a sterile 14 ml Falcon tube (BD Falcon). DNA was extracted using QIagen miniamp stool kit (Qiagen, Germany) following manufacturer's instructions with minor modifications. The extracted DNA samples were analyzed by uniplex real-time PCR using Applied Biosystems Cycler 7500. The protocol of the available literature has been used as a starting point. However, it was finalized by optimizing the concentrations of primer and probes and evaluating several cycles. The two different fluorescence reporters were used in which SYBR Green was used for Blastocyst, and TaqMan probe was used for D. fragilis, G. lamblia, Cryptosporidium and Entamoeba. For both reporters, Amplification reactions were performed in a 20 μL volume for each well with 17.5 master mix and and 2.5 DNA template. However, the mastermix of SYBR Green consist of 10 μL SYBR Green Mastermix reagent (Qiagen, Germany), 2.2 μL of primer mix, and 5 μL of PCR grade water H2O (Sigma, Germany). Whereas, Taqman reaction consists of 10 μL HotStar Taq Mastermix reagent (Qiagen, Germany), 1.3 μL of primer mix, 0.07 μL of probe and 6.2 of PCR grade water H2O (Sigma, Germany). The initial incubation step is carried out at 95 °C for 15 min to activate the HotStar Taq DNA polymerase, followed by a 40-cycle amplification program consisting of 15 s at 94 °C, 30s at 57 °C, 30s at 72 °C, and a final extension step at 72 °C for 30s. For each plate, internal positive controls were run consisted of positive samples brought from Hamad medical cooperation (HMC). Definition of variables: All Birth dates and collection dates were recorded and the ages of the subjects were categorized into five classes by years, 1.1-1.9, 2.0-4.9, 5.0-9.9 and 10.0-14.9. The collection dates were classified according to the season into summer (May-October) and winter (November-April). The subjects in this study came from 34 different countries. For the purpose of analysis, the subjects were grouped into four geographical groups. These were as follows: Qatar (N = 97), from three countries in the Arabian Peninsula (N = 16, Yemen, Saudi Arabia, Bahrain); from five countries in the Eastern Mediterranean (N = 41, Jordan, Lebanon, Syria, Iraq, Iran); from 7 countries in Asia (N = 131, India, Pakistan, Sri lanka, Bangladesh, Nepal, Mauritania, Philippines); from 7 countries in Africa (N = 86, Nigeria, Egypt, Tunisia, Sudan, Djibouti, Eritrea, Moroccan); from 10 countries in Europe (N = 20, Canada, Poland, UK, Greek, US, Holland, Spain, Italy, Venezuela, France) Statistical analysis: Prevalence data are shown with 95% confidence limits calculated using ( https://www.mccallum-layton.co.uk ). For determining the significance of different classes in each category, chi-square test was conducted using crosstabs descriptive statistics in IBM SPSS software. A p-value less than 0.05 is considered statistically significant. Results: Screening for gastrointestinal pathogens using multiplex RT-PCR A total of 391 pediatrics patients participated in this study during the period of March-July 2015. Out of the 391 diarrheal patients (173 females and 218 males), 41 (10.7%) were positive for at least one protozoa (Table 1 and 2). Blastocyst was detected most frequently, in 4.1% (16/391), followed by D. fragilis in 3.3% (13/391), Cryptosporidium in 2.8% (11/391), G. lamblia in 2.0 (8/391) and Entamoeba histolytica in 0.3% (1/391) (Table 1). Most of diarrhea samples in the study came from the age group of 0-1 year (119/391) followed by 2-4.9 years (108/391), 1.1-1.9 years (105/391), 5-9.9 years (45/391) and 10-14.9 years (14/391) (Table 2). However, protozoa infections were highest at the age group of 5-9.9 years with a prevalence of 21.1% (Table 2 and Fig. 1). Blastocyst and Cryptosporidium showed the same pattern of infections among the age groups with the highest prevalence at the age group 5-9.9 years (Table 2). Whereas, G. lamblia and D. fragilis showed the highest prevalence among the age group of 10-14.9 (Table 2). Females had a higher prevalence than males in infections with Blastocyst (6.4%), Cryptosporidium (4.0%) and G. lamblia (2.9%) (Table 2 and Fig. 2). Whereas, males had a higher prevalence than females in infections with D. fragilis (4.1) and Entamoeba histolytica (0.5%). A total of 34 countries categorized into 6 geoprahical regions were sampled in this study, but most of them were from Asia, Qatar & Africa regions (Table 2). However, the prevelance of protozoa infections was the highest among Europe (15%), followed by Qatar (14.1%), Arabian Peninsula (12.5%), Asia (9.9%), Africa (8.1%) and Eastern mediterean (7.3%). Most of the diarrheal samples were collected during the summer season from May to July (Table 2 and Fig. 3). However, protozoa infections had an overall higher prevalence during the winter season that is March and April (12.5%) (Table 2 and Fig. 4).- Association of protozoa infections with age, gender, geographical distribution and seasonAlthough, most of the variables (i.e. gender, age, season) have shown a high value in one of the categories, the difference was not statistically significant (p>0.05) (Table 2). The only significant variables were the age in combined, Blastocyst and Cryptosporidium infections and the gender in Blastocyst (p < 0.05) (Table 2). Blastocyst and Cryptosporidium infections affects the combined protozoa infections and have both the highest prevalence among the age group of 5-9.9 years with the prevalence of 15.6 and 11.1 respectively (Table 2). Blastocyst infections in Females have higher prevalence than male with a prevalence of 6.4% (Table 1). Conclusion: This study has demonstrated that protozoa parasitic infections are still a public health problem in pediatrics patients with Blastocyst, Dientamoeba fragilis and Cryptosporidium being the most common respectively. Therefore, protozoa parasitic infections should be tested for in children complaining from diarrhea. The study also highlights the use of molecular techniques in diagnosis of protozoa parasitic infections.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.321
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2016
Admission routes1
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