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. 2017 Jan 13;12(1):e0169915. doi: 10.1371/journal.pone.0169915

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 Roellig 1,*, Jonathan S Yoder 1, Susan Madison-Antenucci 2, Trisha J Robinson 3, Tam T Van 4, Sarah A Collier 1, Dave Boxrud 3, Timothy Monson 4, Leigh Ann Bates 5, Anna J Blackstock 6, Shari Shea 7, Kirsten Larson 7, Lihua Xiao 1, Michael Beach 1
Editor: Rodney D Adam8
PMCID: PMC5234809  PMID: 28085927

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).

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 [14]. 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 [79].

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%[1216], 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 [1820].

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
Minnesota New York Wisconsin Overall
N (%) N (%) N (%) N (%)
Total number of tests 95 (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 Xpect 0 2 (1.7) 75 (43.6) 77 (20.0)
    Other 0 1 (0.8) 3 (1.7) 4 (1.0)
Age group
    0–9 Years 14 (14.7) 22 (18.8) 49 (30.8) 85 (22.9)
    10–19 Years 9 (9.5) 19 (16.2) 33 (20.8) 61 (16.4)
    20–39 Years 30 (31.6) 34 (29.1) 37 (23.3) 101 (27.2)
    40–59 Years 20 (21.1) 25 (21.4) 31 (19.5) 76 (20.5)
    ≥60 Years 22 (23.2) 17 (14.5) 9 (5.7) 48 (12.9)
Sex
    Male 49 (51.6) 47 (40.2) 83 (52.2) 179 (48.3)
    Female 46 (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, Spring 49 (51.6) 52 (44.1) 74 (45.1) 175 (46.4)
Storage temperature at community laboratory
    Room temperature 87 (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)
    Other 0 1 (0.9) 0 1 (0.3)
Preservative used
    SAF 20 (21.1) 71 (59.7) 51 (29.7) 142 (36.8)
    Cary Blair 30 (31.6) 0 81 (47.1) 111 (28.8)
    10% Formalin 27 (28.4) 47 (39.5) 23 (13.4) 97 (25.1)
    Other** 12 (12.6) 1 (0.8) 3 (1.7) 16 (4.2)
    None 6 (6.3) 0 14 (8.1) 20 (5.2)
Time between collection and testing at community laboratory
    Same Day 61 (66.3) 46 (39.7) 102 (62.2) 209 (56.2)
    Next Day 31 (33.7) 53 (45.7) 47 (28.7) 131 (35.2)
    2–3 Days 0 17 (14.7) 15 (9.2) 32 (8.6)
Confirmatory testing performed at community laboratory
    Any 0 77 (65.3) 52 (30.8) 129 (34.9)
    None 83 (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.

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 laboratory State laboratory
N positive N (%) confirmed by DFA N positive N (%) confirmed by DFA
Overall 386 237 (61.4) 249 215 (86.4)
Site
    Minnesota 95 37 (39.0) 43 36 (83.7)
    New York 119 76 (63.9) 81 70 (86.4)
    Wisconsin 172 124 (72.1) 125 109 (87.2)
Test
    Meridian Immunocard! Stat 305 166 (54.4) 186 155 (83.3)
    Remel Xpect 77 67 (87.0) 63 60 (95.2)
    Other 4 4 (100.0) NA NA
Age Group
    0–9 Years 85 73 (85.9) 69 66 (95.7)
    10–19 Years 61 53 (86.9) 47 46 (97.9)
    20–39 Years 101 67 (66.3) 71 62 (87.3)
    40–59 Years 76 34 (44.7) 40 32 (80.0)
    ≥60 Years 48 6 (12.5) 15 5 (33.3)
Sex
    Male 179 116 (64.8) 121 107 (88.4)
    Female 192 117 (60.9) 122 104 (85.3)
Season
    Summer* 202 133 (65.8) 135 118 (87.4)
    Fall, Winter, Spring 175 97 (55.4) 108 91 (84.3)
Storage temperature at community laboratory
    Room temperature 274 169 (61.7) 181 154 (85.1)
    Refrigerated (4C) 102 63 (61.8) 62 56 (90.3)
    Other 1 0 (0) 0
Preservative used
    SAF 142 96 (67.6) 100 89 (89.0)
    Cary Blair 111 58 (52.3) 70 53 (75.7)
    10% Formalin 97 62 (63.9) 60 55 (91.7)
    Other** 16 12 (75.0) 10 10 (100.0)
    No preservative used 20 9 (45.0) 9 8 (88.9)
Time between collection and testing at community laboratory
    Same Day 209 114 (54.6) 122 102 (83.6)
    Next Day 131 90 (68.7) 92 82 (89.1)
    2–3 Days 32 23 (71.9) 26 22 (84.6)
Confirmatory testing performed at community laboratory
    Any*** 129 97 (75.2) 101 88 (87.1)
    None 241 134 (55.6) 141 122 (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.

Fig 1

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).

Total Number (%) false positives Unadjusted OR (95% CI) Adjusted* OR (95% CI)
Overall 305 139 (45.6%) NA NA
Site
    New York 116 43 (37.1) ref ref
    Wisconsin 94 38 (40.4) 1.2 (0.7, 1.9) 0.6 (0.3, 1.2)
    Minnesota 95 58 (61.1) 2.7 (1.5, 4.7) 1.6 (1.0, 2.8)
Age Group
    ≤25 140 31 (22.1) ref ref
    >25 152 99 (65.1) 6.5 (3.6, 11.7) 6.3 (3.4, 11.7)**
Sex
    Male 142 60 (42.3) ref ref
    Female 150 70 (46.7) 1.2 (0.8, 2.0) 0.8 (0.5, 1.5)
Season
    Summer 153 63 (41.2) ref ref
    Fall, Winter, Spring 148 75 (50.7) 1.5 (0.9, 2.5) 1.7 (0.9, 3.2)
Storage temperature at community laboratory
    Room temperature 223 100 (44.8) ref ref
    Refrigerated (4C) 74 35 (47.3) 1.1 (0.7, 1.9) 0.7 (0.3, 1.5)
Preservative used
    10% Formalin 90 35 (38.9) ref ref
    SAF 100 43 (43.0) 1.2 (0.6, 2.4) 1.4 (0.9, 2.4)
    Cary Blair 88 48 (54.6) 2.0 (1.0, 3.7) 3.0 (1.8, 4.9)**
    Other*** 15 4 (26.7) 0.6 (0.2, 1.3) 0.5 (0.4, 0.7)**
    No preservative used 12 9 (75.0) 4.7 (1.0, 21.9) 8.1 (1.9, 35.4)**
Time between collection and testing at community laboratory
    Same Day 176 89 (50.6) ref ref
    Next Day 99 38 (38.4) 0.6 (0.4, 0.9) 0.5 (0.3, 1.0)
    2–3 Days 21 9 (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.

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.

Fig 2

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 [1820]. 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.

Supporting Information

S1 Table. Giardia and Cryptosporidium Rapid Cartridge Assay Guidelines for Laboratorians.

(PDF)

Acknowledgments

This publication’s contents are solely the responsibility of the authors and do not necessarily represent the official views of the Association of Public Health Laboratories, the Centers for Disease Control and Prevention, and/or Assistant Secretary for Preparedness and Response.

Data Availability

All relevant data are within the paper and its Supporting Information file.

Funding Statement

This publication was supported by the Association of Public Health Laboratories and by the Cooperative Agreement Number U60HM000803 from the Centers for Disease Control and Prevention and/or Assistant Secretary for Preparedness and Response. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the Association of Public Health Laboratories, the Centers for Disease Control and Prevention, and/or Assistant Secretary for Preparedness and Response. This project was 100% funded with federal funds from a federal program of $1.5M.

References

  • 1.Hunter PR, Hughes S, Woodhouse S, Syed Q, Verlander NQ, Chalmers RM, et al. Sporadic cryptosporidiosis case-control study with genotyping. Emerging infectious diseases. 2004;10(7):1241–9. PubMed Central PMCID: PMC3323324. 10.3201/eid1007.030582 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Hunter PR, Nichols G. Epidemiology and clinical features of Cryptosporidium infection in immunocompromised patients. Clinical microbiology reviews. 2002;15(1):145–54. PubMed Central PMCID: PMC118064. 10.1128/CMR.15.1.145-154.2002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Yoder JS, Wallace RM, Collier SA, Beach MJ, Hlavsa MC, Centers for Disease C, et al. Cryptosporidiosis surveillance—United States, 2009–2010. Morbidity and mortality weekly report Surveillance summaries. 2012;61(5):1–12. [PubMed] [Google Scholar]
  • 4.Painter JE, Hlavsa MC, Collier SA, Xiao L, Yoder JS, Centers for Disease C, et al. Cryptosporidiosis surveillance—United States, 2011–2012. Morbidity and mortality weekly report Surveillance summaries. 2015;64 Suppl 3:1–14. [Google Scholar]
  • 5.Scallan E, Hoekstra RM, Angulo FJ, Tauxe RV, Widdowson MA, Roy SL, et al. Foodborne illness acquired in the United States—major pathogens. Emerg Infect Dis. 2011;17(1):7–15. PubMed Central PMCID: PMCPMC3375761. 10.3201/eid1701.P11101 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Ryan U, Fayer R, Xiao L. Cryptosporidium species in humans and animals: current understanding and research needs. Parasitology. 2014;141(13):1667–85. 10.1017/S0031182014001085 [DOI] [PubMed] [Google Scholar]
  • 7.Fox LM, Saravolatz LD. Nitazoxanide: a new thiazolide antiparasitic agent. Clinical infectious diseases: an official publication of the Infectious Diseases Society of America. 2005;40(8):1173–80. [DOI] [PubMed] [Google Scholar]
  • 8.Hlavsa MC, Roberts VA, Anderson AR, Hill VR, Kahler AM, Orr M, et al. Surveillance for waterborne disease outbreaks and other health events associated with recreational water—United States, 2007–2008. Morbidity and mortality weekly report Surveillance summaries. 2011;60(12):1–32. [PubMed] [Google Scholar]
  • 9.Checkley W, White AC Jr., Jaganath D, Arrowood MJ, Chalmers RM, Chen XM, et al. A review of the global burden, novel diagnostics, therapeutics, and vaccine targets for cryptosporidium. The Lancet Infectious diseases. 2015;15(1):85–94. 10.1016/S1473-3099(14)70772-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.(CSTE) CoSaTE. Update to Cryptosporidiosis Case Definition. CSTE Position Statement 11-ID-142011.
  • 11.National Notifiable Disease Surveillance System (NNDDSS). 2012 Cryptosporidiosis Case Definition. http://wwwn.cdc.gov/NNDSS/script/casedef.aspx?CondYrID=648&DatePub=2012-01-01
  • 12.Garcia LS, Shimizu RY. Evaluation of nine immunoassay kits (enzyme immunoassay and direct fluorescence) for detection of Giardia lamblia and Cryptosporidium parvum in human fecal specimens. Journal of clinical microbiology. 1997;35(6):1526–9. PubMed Central PMCID: PMCPMC229779. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Garcia LS, Shum AC, Bruckner DA. Evaluation of a new monoclonal antibody combination reagent for direct fluorescence detection of Giardia cysts and Cryptosporidium oocysts in human fecal specimens. Journal of clinical microbiology. 1992;30(12):3255–7. PubMed Central PMCID: PMCPMC270643. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Zimmerman SK, Needham CA. Comparison of conventional stool concentration and preserved-smear methods with Merifluor Cryptosporidium/Giardia Direct Immunofluorescence Assay and ProSpecT Giardia EZ Microplate Assay for detection of Giardia lamblia. Journal of clinical microbiology. 1995;33(7):1942–3. PubMed Central PMCID: PMCPMC228307. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Kehl KS, Cicirello H, Havens PL. Comparison of four different methods for detection of Cryptosporidium species. Journal of clinical microbiology. 1995;33(2):416–8. PubMed Central PMCID: PMCPMC227959. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Alles AJ, Waldron MA, Sierra LS, Mattia AR. Prospective comparison of direct immunofluorescence and conventional staining methods for detection of Giardia and Cryptosporidium spp. in human fecal specimens. Journal of clinical microbiology. 1995;33(6):1632–4. PubMed Central PMCID: PMCPMC228230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Chalmers RM, Katzer F. Looking for Cryptosporidium: the application of advances in detection and diagnosis. Trends in parasitology. 2013;29(5):237–51. 10.1016/j.pt.2013.03.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Garcia LS, Shimizu RY, Novak S, Carroll M, Chan F. Commercial assay for detection of Giardia lamblia and Cryptosporidium parvum antigens in human fecal specimens by rapid solid-phase qualitative immunochromatography. Journal of clinical microbiology. 2003;41(1):209–12. PubMed Central PMCID: PMC149610. 10.1128/JCM.41.1.209-212.2003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Johnston SP, Ballard MM, Beach MJ, Causer L, Wilkins PP. Evaluation of three commercial assays for detection of Giardia and Cryptosporidium organisms in fecal specimens. Journal of clinical microbiology. 2003;41(2):623–6. PubMed Central PMCID: PMC149727. 10.1128/JCM.41.2.623-626.2003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.El-Moamly AA, El-Sweify MA. ImmunoCard STAT! cartridge antigen detection assay compared to microplate enzyme immunoassay and modified Kinyoun's acid-fast staining technique for detection of Cryptosporidium in fecal specimens. Parasitology research. 2012;110(2):1037–41. 10.1007/s00436-011-2585-z [DOI] [PubMed] [Google Scholar]
  • 21.Robinson TJ, Cebelinski EA, Taylor C, Smith KE. Evaluation of the positive predictive value of rapid assays used by clinical laboratories in Minnesota for the diagnosis of cryptosporidiosis. Clinical infectious diseases: an official publication of the Infectious Diseases Society of America. 2010;50(8):e53–5. [DOI] [PubMed] [Google Scholar]
  • 22.Cronquist A, Beach MJ, Johnston SP, da Silva A. Manufacturer's recall of rapid cartridge assay kits on the basis of false-positive Cryptosporidium antigen tests-Colorado, 2004. MMWR. 2004;53:198 [PubMed] [Google Scholar]
  • 23.Feng Y, Li N, Duan L, Xiao L. Cryptosporidium genotype and subtype distribution in raw wastewater in Shanghai, China: evidence for possible unique Cryptosporidium hominis transmission. Journal of clinical microbiology. 2009;47(1):153–7. PubMed Central PMCID: PMC2620847. 10.1128/JCM.01777-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Centers for Disease C, Prevention. False-positive laboratory tests for Cryptosporidium involving an enzyme-linked immunosorbent assay—United States, November 1997-March 1998. MMWR Morbidity and mortality weekly report. 1999;48(1):4–8. [PubMed] [Google Scholar]
  • 25.de Lucio A, Merino FJ, Martinez-Ruiz R, Bailo B, Aguilera M, Fuentes I, et al. Molecular genotyping and sub-genotyping of Cryptosporidium spp. isolates from symptomatic individuals attending two major public hospitals in Madrid, Spain. Infect Genet Evol. 2016;37:49–56. 10.1016/j.meegid.2015.10.026 [DOI] [PubMed] [Google Scholar]
  • 26.De Waele V, Berzano M, Berkvens D, Speybroeck N, Lowery C, Mulcahy GM, et al. Age-stratified Bayesian analysis to estimate sensitivity and specificity of four diagnostic tests for detection of Cryptosporidium oocysts in neonatal calves. Journal of clinical microbiology. 2011;49(1):76–84. PubMed Central PMCID: PMC3020464. 10.1128/JCM.01424-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Soenen S, Rayner CK, Jones KL, Horowitz M. The ageing gastrointestinal tract. Curr Opin Clin Nutr Metab Care. 2016;19(1):12–8. 10.1097/MCO.0000000000000238 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Table. Giardia and Cryptosporidium Rapid Cartridge Assay Guidelines for Laboratorians.

(PDF)

Data Availability Statement

All relevant data are within the paper and its Supporting Information file.


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