Literature DB >> 28085927

Community Laboratory Testing for Cryptosporidium: Multicenter Study Retesting Public Health Surveillance Stool Samples Positive for Cryptosporidium by Rapid Cartridge Assay with Direct Fluorescent Antibody Testing.

Dawn M Roellig1, Jonathan S Yoder1, Susan Madison-Antenucci2, Trisha J Robinson3, Tam T Van4, Sarah A Collier1, Dave Boxrud3, Timothy Monson4, Leigh Ann Bates5, Anna J Blackstock6, Shari Shea7, Kirsten Larson7, Lihua Xiao1, Michael Beach1.   

Abstract

Cryptosporidium is a common cause of sporadic diarrheal disease and outbreaks in the United States. Increasingly, immunochromatography-based rapid cartridge assays (RCAs) are providing community laboratories with a quick cryptosporidiosis diagnostic method. In the current study, the Centers for Disease Control and Prevention (CDC), the Association of Public Health Laboratories (APHL), and four state health departments evaluated RCA-positive samples obtained during routine Cryptosporidium testing. All samples underwent "head to head" re-testing using both RCA and direct fluorescence assay (DFA). Community level results from three sites indicated that 54.4% (166/305) of Meridian ImmunoCard STAT! positives and 87.0% (67/77) of Remel Xpect positives were confirmed by DFA. When samples were retested by RCA at state laboratories and compared with DFA, 83.3% (155/186) of Meridian ImmunoCard STAT! positives and 95.2% (60/63) of Remel Xpect positives were confirmed. The percentage of confirmed community results varied by site: Minnesota, 39.0%; New York, 63.9%; and Wisconsin, 72.1%. The percentage of confirmed community results decreased with patient age; 12.5% of community positive tests could be confirmed by DFA for patients 60 years of age or older. The percentage of confirmed results did not differ significantly by sex, storage temperature, time between sample collection and testing, or season. Findings from this study demonstrate a lower confirmation rate of community RCA positives when compared to RCA positives identified at state laboratories. Elucidating the causes of decreased test performance in order to improve overall community laboratory performance of these tests is critical for understanding the epidemiology of cryptosporidiosis in the United States (US).

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Year:  2017        PMID: 28085927      PMCID: PMC5234809          DOI: 10.1371/journal.pone.0169915

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Cryptosporidiosis is a gastrointestinal disease caused by the protozoan parasite Cryptosporidium. In immunocompetent individuals, cryptosporidiosis is generally characterized by self-limited diarrhea, abdominal pain, weight loss, anorexia, fatigue, joint pain, vomiting, fever, and/or headache; a potentially deadly diarrheal illness characterizes infections in immunocompromised individuals [1-4]. In the United States, it is estimated that 748,000 annual cases of diarrheal illness linked to cryptosporidiosis occur from waterborne, foodborne, zoonotic, childcare, and nosocomial cases and outbreaks [5]. The majority of these cases and outbreaks are caused by two of the more than 20 Cryptosporidium species identified—C. hominis and C. parvum [6]. Cryptosporidiosis has been a nationally notifiable disease since the Council of State and Territorial Epidemiologists (CSTE) called for reporting in 1994 [3]. The most recent report in the United States found the 2010 incidence rate of cryptosporidiosis to be 2.9%, more than double the incidence reported in the first full year of national reporting in 1995 [3]. The cause of this increase is unknown. It may reflect true rises in exposure and transmission, advancements in diagnostic testing, increased reporting following the introduction of new therapeutic treatments and electronic outbreak reporting systems, or a combination of these factors [7-9]. In confirmed cases of cryptosporidiosis, the Cryptosporidium organisms, antigens, or DNA must be detected [10][11]. The current gold standard for testing is direct fluorescence assay (DFA) with a sensitivity of 93–100% and specificity of 99.8–100%[12-16], but a number of other methods are employed to detect Cryptosporidium, including acid-fast microscopy, enzyme immunoassay (EIA), indirect immunofluorescence assay (IFA), polymerase chain reaction (PCR), and rapid cartridge assay (RCA). Each assay has advantages and disadvantages relating to costs, resources (staff time and expertise, specialized equipment, consumables), turnaround time, sensitivity, specificity, and the ability to identify other pathogens. These factors must be considered to adopt the most appropriate method for a given population [17]. Cryptosporidiosis diagnosis in the absence of trained microscopists or molecular capabilities has been made possible with the introduction of RCAs that detect parasite antigen [18]. These commercially available RCA assays, such as Meridian Immunocard STAT! and Remel Xpect, work as qualitative immunochromatographic tests. Cryptosporidium antigen is detected using colored polystyrene particles or colloidal dye and labeled monoclonal antibodies to Cryptosporidium. When exposed to fecal specimens with Cryptosporidium antigen, a cartridge containing proprietary capture antibody for the antigen will cause a colored line (Remel Xpect, red for Cryptosporidium; Meridian Immunocard STAT!, gray-black) to appear in addition to a line in the control window. In previous studies, these assays were reported to perform well compared to other diagnostics assays [18-20]. However, as per a CSTE Position Statement, RCA results are excluded from cryptosporidiosis surveillance data, and cases with these laboratory tests are considered probable rather than confirmed [10]. This is following a Minnesota study in 2010 where RCAs were shown to have a low positive predictive value when specimens were subjected to confirmatory testing by PCR or DFA and modified Ziehl-Neelsen stain [21]. As more clinical laboratories implement these tests, accurate data on disease incidence in the US will be lost. Multiple factors may affect the accuracy and performance of RCAs, including the proficiency of the technologist conducting the test and reading the results, handling and storage of test kits, the appropriate use of sample preservatives, and storage times and temperatures [22]. In spite of these limiting factors, the ease-of-use and reduced labor costs of RCAs has resulted in their expanded use for the routine detection and reporting of cryptosporidiosis in the United States. The goal of the current study was to expand on the previous RCA findings and determine if RCAs can be used as reliable diagnostic tools for Cryptosporidium surveillance by “head to head” re-testing of RCA-positive Cryptosporidium stool specimens with both RCA and DFA.

Materials and Methods

Ethics statement

All case interviews were conducted as part of routine state surveillance activities. Personally identifiable information was not transferred to CDC as part of this study. All demographic and clinical data collected for this study were derived from existing surveillance data for cryptosporidiosis, a nationally notifiable disease in the United States. Thus, informed consent was conducted for each Cryptosporidium positive case as part of the state routine cryptosporidiosis surveillance and case investigation, based on the regulations of each site’s jurisdiction.

Study sites

Four state health departments (Wisconsin, New York-Wadsworth, Minnesota, and Kentucky) were selected based on their responses to questions in a Request for Application distributed by APHL. Sites were asked to demonstrate access to at least 100 Cryptosporidium RCA-positive stool samples within one year, either as part of routine state submissions or through an established relationship with one or more community laboratory partners. Data from Kentucky were not included in analysis because <100 positive cryptosporidiosis cases occurred in Kentucky during the study period.

Specimen collection

Stool specimens were collected during the study period (October 2012 through January 2014) from residual clinical samples that tested positive for Cryptosporidium by any rapid cartridge assay test. Samples came from community (hospital-based or reference) laboratories that had agreed to participate in the study with their State Public Health Laboratory. Eligible stool specimens were included in the study as they were reported, with a target of 100 samples per site, based on power calculations. Stools were excluded from the study if 1) no clinical data were available, 2) no stool collection data were available, 3) there was insufficient (<5 g or ml) fecal material available for re-testing by both RCAs and DFA, or 4) the stool was stored in an unsuitable preservative (e.g., PVA fixatives).

Data collection

Submitting community laboratories identified stools that met the study inclusion criteria and submitted samples to the respective public health laboratory. Specimen data that were collected by investigators from community laboratories included RCA test type, test lot number, test expiration date, sample preservative, specimen storage conditions, and specimen collection, receipt, and testing dates. Simple clinical and demographic data were collected by investigators at each of the study sites as part of routine disease surveillance activities based on the regulations of each site’s jurisdiction. Patients were interviewed using each state’s foodborne or Cryptosporidium-specific interview questionnaire to gather basic demographic data, including age, sex, clinical symptoms, onset and resolution dates, and hospitalizations. Interviews were conducted within 30 days of identifying the patient with laboratory-confirmed cryptosporidiosis. Standardized data collection spreadsheets were developed and distributed by the CDC to the study sites. Data were collected on the submitting laboratory (community level) stool specimen and diagnostic assay, demographics gathered during interviews described above, and the test comparison completed at study sites. De-identified data was transmitted to the CDC for analyses.

Laboratory methods

Testing was performed at the four participating state public health laboratories. The state public health laboratories performed the following tests concurrently on all stool specimens: 1) ImmunoCard STAT! Crypto/Giardia RCA by Meridian Bioscience; 2) Xpect Cryptosporidium RCA by Remel; and 3) Merifluor Crypto & Giardia DFA by Meridian Bioscience. Tests were stored, handled, and performed following manufacturers’ guidelines, including sample specifications such as storage condition and time from collection to testing. Additionally, molecular characterization was performed on specimens from Minnesota and Wisconsin. Minnesota conducted molecular testing at the Minnesota Department of Health Public Health Laboratory, and Wisconsin forwarded specimens to the CDC for molecular testing. Molecular testing at both sites included PCR-RFLP analysis of the 18s rRNA gene to differentiate Cryptosporidium species and genotypes and a nested amplification and sequencing of the gp60 gene to identify the subtype of C. hominis- and C. parvum-positive specimens [23].

Data handling and analysis

Completed laboratory, specimen data, and case epidemiologic data were reviewed and coded by each site and were entered into a database created and supplied by CDC. Data analysis was performed at CDC using SAS 9.3 (Cary, NC). Log binomial regression was used to identify factors associated with false positive results at the community level while accounting for within-laboratory correlation.

Results

A total of 386 stool specimens were submitted to the state public health laboratories (Minnesota, New York, and Wisconsin) by community laboratories. The Meridian ImmunoCard STAT!-positive specimens were the predominant submissions across all sites with 305 (79.0%) samples (Table 1). Age and gender were evenly represented in RCA positive, community submitted samples across all sites. Other characteristics of the specimens, including seasonality and preservative, were also evenly represented (Table 1).
Table 1

Characteristics of stool specimens that tested positive for Cryptosporidium infection by rapid cartridge assay at community laboratories, by study site and overall.

Site
MinnesotaNew YorkWisconsinOverall
N (%)N (%)N (%)N (%)
Total number of tests95 (24.6)119 (30.8)172 (44.6)386 (100)
Test
    Meridian Immunocard Stat!95 (100)116 (97.5)94 (54.7)305 (79.0)
    Remel Xpect02 (1.7)75 (43.6)77 (20.0)
    Other01 (0.8)3 (1.7)4 (1.0)
Age group
    0–9 Years14 (14.7)22 (18.8)49 (30.8)85 (22.9)
    10–19 Years9 (9.5)19 (16.2)33 (20.8)61 (16.4)
    20–39 Years30 (31.6)34 (29.1)37 (23.3)101 (27.2)
    40–59 Years20 (21.1)25 (21.4)31 (19.5)76 (20.5)
    ≥60 Years22 (23.2)17 (14.5)9 (5.7)48 (12.9)
Sex
    Male49 (51.6)47 (40.2)83 (52.2)179 (48.3)
    Female46 (48.4)70 (59.8)76 (47.8)192 (51.8)
Season
    Summer*46 (48.4)66 (55.9)90 (54.9)202 (53.6)
    Fall, Winter, Spring49 (51.6)52 (44.1)74 (45.1)175 (46.4)
Storage temperature at community laboratory
    Room temperature87 (91.6)99 (84.6)88 (53.3)274 (72.7)
    Refrigerated (4C)8 (8.4)17 (14.5)77 (46.7)102 (27.1)
    Other01 (0.9)01 (0.3)
Preservative used
    SAF20 (21.1)71 (59.7)51 (29.7)142 (36.8)
    Cary Blair30 (31.6)081 (47.1)111 (28.8)
    10% Formalin27 (28.4)47 (39.5)23 (13.4)97 (25.1)
    Other**12 (12.6)1 (0.8)3 (1.7)16 (4.2)
    None6 (6.3)014 (8.1)20 (5.2)
Time between collection and testing at community laboratory
    Same Day61 (66.3)46 (39.7)102 (62.2)209 (56.2)
    Next Day31 (33.7)53 (45.7)47 (28.7)131 (35.2)
    2–3 Days017 (14.7)15 (9.2)32 (8.6)
Confirmatory testing performed at community laboratory
    Any077 (65.3)52 (30.8)129 (34.9)
    None83 (100)41 (34.8)117 (69.2)241 (65.1)

Percentages might not sum to 100 because of rounding. Total counts might not sum to 386 because of missing data.

* Summer was defined as sample receipt at the community laboratory between May 27, 2013 and September 30, 2013.

** “Other” category included Totalfix, Ecofix, and preservatives described as “Other” with no brand specified.

Percentages might not sum to 100 because of rounding. Total counts might not sum to 386 because of missing data. * Summer was defined as sample receipt at the community laboratory between May 27, 2013 and September 30, 2013. ** “Other” category included Totalfix, Ecofix, and preservatives described as “Other” with no brand specified. Overall, 61.4% of community laboratory RCA-positive samples were confirmed by DFA; when RCA testing was repeated at the state laboratory, 86.4% of state laboratory RCA positives were confirmed by DFA (Table 2). The percentage of samples confirmed by DFA varied by manufacturer: 54.4% of the Meridian ImmunoCard STAT!-positives from community laboratories were confirmed by DFA and 87.0% of the Remel Xpect-positives from community laboratories could be confirmed. RCA positives were retested at the state laboratory, and 83.3% of Meridian ImmunoCard STAT! and 95.2% of Remel Xpect positives from state-administered tests were confirmed by DFA (Table 2, Fig 1). The proportion of community-tested specimens confirmed by DFA differed by patient age, ranging from 84.0% in persons <20 years of age to 12.5% in persons ≥60 years of age. That difference in concordant results was also found upon re-testing at the state laboratory.
Table 2

Results of direct fluorescent antibody testing (DFA) for stool specimens that tested positive for Cryptosporidium infection by rapid cartridge assay at community laboratories (n = 386) or repeat rapid cartridge assay at state public health laboratories (n = 249).

Community laboratoryState laboratory
N positiveN (%) confirmed by DFAN positiveN (%) confirmed by DFA
Overall386237 (61.4)249215 (86.4)
Site
    Minnesota9537 (39.0)4336 (83.7)
    New York11976 (63.9)8170 (86.4)
    Wisconsin172124 (72.1)125109 (87.2)
Test
    Meridian Immunocard! Stat305166 (54.4)186155 (83.3)
    Remel Xpect7767 (87.0)6360 (95.2)
    Other44 (100.0)NANA
Age Group
    0–9 Years8573 (85.9)6966 (95.7)
    10–19 Years6153 (86.9)4746 (97.9)
    20–39 Years10167 (66.3)7162 (87.3)
    40–59 Years7634 (44.7)4032 (80.0)
    ≥60 Years486 (12.5)155 (33.3)
Sex
    Male179116 (64.8)121107 (88.4)
    Female192117 (60.9)122104 (85.3)
Season
    Summer*202133 (65.8)135118 (87.4)
    Fall, Winter, Spring17597 (55.4)10891 (84.3)
Storage temperature at community laboratory
    Room temperature274169 (61.7)181154 (85.1)
    Refrigerated (4C)10263 (61.8)6256 (90.3)
    Other10 (0)0
Preservative used
    SAF14296 (67.6)10089 (89.0)
    Cary Blair11158 (52.3)7053 (75.7)
    10% Formalin9762 (63.9)6055 (91.7)
    Other**1612 (75.0)1010 (100.0)
    No preservative used209 (45.0)98 (88.9)
Time between collection and testing at community laboratory
    Same Day209114 (54.6)122102 (83.6)
    Next Day13190 (68.7)9282 (89.1)
    2–3 Days3223 (71.9)2622 (84.6)
Confirmatory testing performed at community laboratory
    Any***12997 (75.2)10188 (87.1)
    None241134 (55.6)141122 (86.5)

* Summer was defined as sample receipt at the community laboratory between May 27, 2013 and September 30, 2013.

** “Other” category included Totalfix, Ecofix, and preservatives described as “Other” with no brand specified.

***”Any” category included DFA or IFA, staining and microscopy, and EIA

Fig 1

Comparison of positive predictive values for cryptosporidiosis rapid cartridge assay (RCA) tests performed in community laboratories and repeat testing under recommended conditions in state public health laboratories, by manufacturer.

* Summer was defined as sample receipt at the community laboratory between May 27, 2013 and September 30, 2013. ** “Other” category included Totalfix, Ecofix, and preservatives described as “Other” with no brand specified. ***”Any” category included DFA or IFA, staining and microscopy, and EIA Because the majority of tests in this study were performed using the Meridian ImmunoCard STAT! kit, further analysis was done to understand predictors of false positivity for the test (Table 3). In univariate analysis, reporting state, patient age, and time between sample collection and testing at the community laboratory were significant predictors of false positive results; the type of preservative used approached significance. After adjusting for all other attributes, age and preservative type were significant predictors of false positive results.
Table 3

Predictors of false positive results (using direct fluorescent antibody testing (DFA) as the gold standard) for stool specimens that tested positive for Cryptosporidium infection by Meridian Immunocard Stat! rapid cartridge assay at community laboratories (n = 305).

TotalNumber (%) false positivesUnadjusted OR (95% CI)Adjusted* OR (95% CI)
Overall305139 (45.6%)NANA
Site
    New York11643 (37.1)refref
    Wisconsin9438 (40.4)1.2 (0.7, 1.9)0.6 (0.3, 1.2)
    Minnesota9558 (61.1)2.7 (1.5, 4.7)1.6 (1.0, 2.8)
Age Group
    ≤2514031 (22.1)refref
    >2515299 (65.1)6.5 (3.6, 11.7)6.3 (3.4, 11.7)**
Sex
    Male14260 (42.3)refref
    Female15070 (46.7)1.2 (0.8, 2.0)0.8 (0.5, 1.5)
Season
    Summer15363 (41.2)refref
    Fall, Winter, Spring14875 (50.7)1.5 (0.9, 2.5)1.7 (0.9, 3.2)
Storage temperature at community laboratory
    Room temperature223100 (44.8)refref
    Refrigerated (4C)7435 (47.3)1.1 (0.7, 1.9)0.7 (0.3, 1.5)
Preservative used
    10% Formalin9035 (38.9)refref
    SAF10043 (43.0)1.2 (0.6, 2.4)1.4 (0.9, 2.4)
    Cary Blair8848 (54.6)2.0 (1.0, 3.7)3.0 (1.8, 4.9)**
    Other***154 (26.7)0.6 (0.2, 1.3)0.5 (0.4, 0.7)**
    No preservative used129 (75.0)4.7 (1.0, 21.9)8.1 (1.9, 35.4)**
Time between collection and testing at community laboratory
    Same Day17689 (50.6)refref
    Next Day9938 (38.4)0.6 (0.4, 0.9)0.5 (0.3, 1.0)
    2–3 Days219 (42.9)0.8 (0.3, 2.2)0.8 (0.2, 2.9)

* Log binomial regression using GEE with an exchangeable correlation matrix was used to account for correlation between isolates from the same lab. The adjusted model included all attributes shown in the table.

** 95% confidence interval for odds ratios did not include the null after adjustment

*** “Other” category included Totalfix, Ecofix, and preservatives described as “Other” with no brand specified.

* Log binomial regression using GEE with an exchangeable correlation matrix was used to account for correlation between isolates from the same lab. The adjusted model included all attributes shown in the table. ** 95% confidence interval for odds ratios did not include the null after adjustment *** “Other” category included Totalfix, Ecofix, and preservatives described as “Other” with no brand specified. A patient’s age was related to a higher false-positive rate of the Meridian ImmunoCard STAT!; those samples from individuals over age 25 were more likely to be unconfirmed between community and state testing (OR = 6.3 (3.4, 11.7)) (Table 3; Fig 2). Stool specimens stored in Cary Blair (OR = 3.0 (1.8, 4.9)) or without preservative (OR = 8.1 (1.9, 35.4)) and tested by the Meridican ImmunoCard STAT! were less likely to be confirmed between community and state laboratories, whereas those stored in “Other” preservatives (Totalfix, Ecofix, and no brand specified; OR = 0.5 (1.8, 4.9)) were more likely to be confirmed (Table 3). There were no significant differences in percentage of confirmed results based on sex, season, storage temperature, or time between collection and testing of samples (Table 3).
Fig 2

Age distribution of persons for which stool specimens tested positive for Cryptosporidium infection by Meridian ImmunoCard Stat! rapid cartridge assay at community laboratories, by DFA result.

Molecular testing of Minnesota (n = 104) and Wisconsin (n = 180) stool specimens identified C. parvum (81.6%) and C. hominis (14.9%) as the predominant species; other species/genotypes identified included C. ubiquitum (n = 2), C. meleagridis (n = 1), and Cervine genotype (n = 1).

Discussion

This study documented a high rate of false-positive results from RCAs used in community laboratories to test for Cryptosporidium. Nearly half of positive results from community laboratories could not be confirmed by DFA at the state public health laboratories. Because the sample was limited to positive results from community laboratories, a more thorough comparison of RCA and DFA at the state level could not be made, but the agreement between state DFA and RCA testing suggest that problems with test handling, storage, or operation in the community laboratories could account for at least a portion of the poor performance of RCAs. The high false-positive rate presents serious problems for routine surveillance and understanding the epidemiology of Cryptosporidium in the United States. In this study, the performance of RCAs did not match manufacturer’s test performance evaluations. Several studies have previously identified these tests as having sensitivity and specificity similar to the performance of DFA, the gold standard test for Cryptosporidium [18-20]. However, previous problems with false-positive results associated with these tests have been noted [19, 24, 25]. These false positive issues were related to antigen production and delayed reading of results, which can lead to production of faint bands that could be misread as positives [22]. Similar concerns have not arisen from the commercially available antigens of traditional EIA tests. Results suggest that factors in the community laboratory contributed to the decreased performance of the rapid cartridge assays. Possible contributors to decreased performance in community settings might include not reading the result at the prescribed time, inconsistency between test operators and readers, incorrect sample preservative, improper dilution of sample, use of out-of-date tests, and improper storage temperature of tests and/or specimens. These factors, especially testing times, could contribute to test performance errors, resulting in the appearance and misinterpretation of “ghost bands” on the RCA as a positive result. Education and training may help improve testing for Cryptosporidium in community settings (S1 Table). Possible areas for improvement include proper training on how to administer the test, better consistency in performance of the tests, and availability of simple guidelines for RCA procedures. However, our data suggest that, even accounting for possible problems at community laboratories, these tests are performing at levels less than indicated in RCA package inserts that state 100% reproducibility. The positive predictive value at the state level during repeat testing suggests there are inherent specificity problems, particularly for the Meridian ImmunoCard STAT! RCA. Persons ≥65 years old were significantly more likely to have false positive results. This was true for tests performed at community and state public health laboratories, suggesting that this phenomenon is not due to poor testing practices. A possible explanation includes production of non-specific antibodies in the elderly that mimic Cryptosporidium epitopes. These mimic epitopes might react with the lateral flow assay to produce a false-positive result. False positives due to non-specific reactions in immunoassay tests have been previously reported, and decreased specificity among age groups have been noted in animal studies [24, 26]. Cross-reactivity of either RCA test’s proprietary antibodies with other organisms was not suspected as package inserts included a list of parasites, bacteria, and viruses tested for cross-reactivity during product development, quality assurance, and quality control. Another reason for the false positives may be inappropriate testing for cryptosporidiosis in the senior age group. Often, this population is less likely to have some of the major risk factors for acquiring Cryptosporidium infections, such as recreational swimming, coming in contact with children, and consumption of non-sterilized water [3]. Clinical manifestations are not pathognomonic for cryptosporidiosis; therefore, the common presentation of general gastroenteritis symptoms in seniors may lead to increased testing of the population and subsequent increased positive rate[27]. This finding is reflected in a recent analysis of cryptosporidiosis surveillance data which show that persons >65 years old have the second highest rate of illness [4]. If most of these cases are diagnosed by RCAs and there is a differential false positive rate for the elderly, these trends in national surveillance might be unreliable. The problems with RCA use in community settings may decrease the utility of routine cryptosporidiosis surveillance data for understanding the Cryptosporidium epidemiology in the United States. Identifying factors contributing to decreased test performance are necessary to improve overall performance of these tests. Ideally, this will lead to greater confidence in the immunochromatographic card tests and expansion of the current CSTE classification criteria for confirmed cryptosporidiosis cases.

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Journal:  MMWR Morb Mortal Wkly Rep       Date:  2017-04-21       Impact factor: 17.586

4.  Molecular diversity and frequency of the diarrheagenic enteric protozoan Giardia duodenalis and Cryptosporidium spp. in a hospital setting in Northern Spain.

Authors:  José Manuel Azcona-Gutiérrez; Aida de Lucio; Marta Hernández-de-Mingo; Concepción García-García; Luis Miguel Soria-Blanco; Lucía Morales; María Aguilera; Isabel Fuentes; David Carmena
Journal:  PLoS One       Date:  2017-06-15       Impact factor: 3.240

5.  Performance of three rapid diagnostic tests for the detection of Cryptosporidium spp. and Giardia duodenalis in children with severe acute malnutrition and diarrhoea.

Authors:  Joseph Bitilinyu-Bangoh; Wieger Voskuijl; Johnstone Thitiri; Sandra Menting; Nienke Verhaar; Laura Mwalekwa; Daisy B de Jong; Merlin van Loenen; Petra F Mens; James A Berkley; Robert H J Bandsma; Henk D F H Schallig
Journal:  Infect Dis Poverty       Date:  2019-11-28       Impact factor: 4.520

6.  Portable on-chip colorimetric biosensing platform integrated with a smartphone for label/PCR-free detection of Cryptosporidium RNA.

Authors:  George S Luka; Ephraim Nowak; Quin Robert Toyata; Nishat Tasnim; Homayoun Najjaran; Mina Hoorfar
Journal:  Sci Rep       Date:  2021-12-01       Impact factor: 4.379

7.  Evidence of False Positivity for Vibrio Species Tested by Gastrointestinal Multiplex PCR Panels, Minnesota, 2016-2018.

Authors:  Marijke Decuir; Randal C Fowler; Elizabeth Cebelinski; Kirk Smith; David Boxrud; Carlota Medus
Journal:  Open Forum Infect Dis       Date:  2021-05-16       Impact factor: 3.835

8.  Detection of Cryptosporidium spp. in Diarrheic Immunocompetent Patients in Beni-Suef, Egypt: Insight into Epidemiology and Diagnosis.

Authors:  Samah S Abdel Gawad; Mousa A M Ismail; Naglaa F A Imam; Ahmed H A Eassa; Enas Yahia Abu-Sarea
Journal:  Korean J Parasitol       Date:  2018-04-30       Impact factor: 1.341

  8 in total

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