Literature DB >> 31287026

Improving diagnostic performance of the Kato-Katz method for Clonorchis sinensis infection through multiple samples.

Men-Bao Qian1,2,3,4, Shi-Feng Zhuang5, Shi-Qiao Zhu6, Xiao-Mao Deng6, Zheng-Xiang Li5, Xiao-Nong Zhou7,8,9,10.   

Abstract

BACKGROUND: Clonorchiasis is caused by eating of raw or undercooked freshwater fish containing the larvae of Clonorchis sinensis; the Kato-Katz method is widely applied in diagnosis. The improvement of repeated Kato-Katz smears from multiple stool samples has been well illuminated in many helminths other than C. sinensis.
METHODS: A cross-sectional investigation was implemented to capture the epidemiology and risk factors of clonorchiasis among middle school students in Qiyang county, China. Students with complete data of six Kato-Katz thick smears from two stool samples were included in this analysis. Data on the habits of eating raw freshwater fish were also collected and compared.
RESULTS: Altogether, 397 students had complete information of six smears, out of which 394 reported the information on eating habits. According to the 'gold' standard by six smears, 77 students (19.4%) were detected with C. sinensis. However, only 45 (11.3%) were detected using a single smear, with an underestimation of 41.6% compared to the 'gold' standard. However, the geometric mean of eggs per gram of feces in detected cases was 126.4 in a single smear, overestimated by 105.2% compared to 61.6 by the 'gold' standard. The linear relationship between prevalence and infection intensity of detected cases based on different smears was significantly negative. The habits of eating raw freshwater fish in the false negative cases was similar to those in the detected cases, but these two groups had significantly higher levels for habits of eating raw freshwater fish than negative individuals.
CONCLUSIONS: In low endemicity situations, underestimation of C. sinensis infection could not be avoided based on a limited number of Kato-Katz smears. Thus, repeated smears from at least two stool samples should be considered when an individual eats raw freshwater fish, drug efficacy is evaluated or elimination of C. sinensis is verified. Additionally, when logistics are insufficient for multiple samples to be taken for diagnosis for survey and surveillance in the areas or populations of low endemicity, prevalence accuracy needs to be corrected.

Entities:  

Keywords:  Clonorchiasis; Clonorchis sinensis; Diagnosis; Kato-Katz method

Mesh:

Year:  2019        PMID: 31287026      PMCID: PMC6613260          DOI: 10.1186/s13071-019-3594-5

Source DB:  PubMed          Journal:  Parasit Vectors        ISSN: 1756-3305            Impact factor:   3.876


Background

Clonorchiasis is caused by eating raw or undercooked freshwater fish, which contains infective larvae of Clonorchis sinensis [1]. Clonorchiasis is highly endemic in Asia, including China, the Republic of Korea, Vietnam and part of Russia, due to their popular habits of eating raw freshwater fish [2-6]. There are about 15 million people implicated with C. sinensis infection, out of which about 13 million are domiciled in China [2, 3]. Clonorchis sinensis infection exerts a significant disease burden due to the high comorbidity of gallstone, cholangitis, cholecystitis and especially cholangiocarcinoma [7-9]. Accurate diagnosis for clonorchiasis is important because it determines the drug treatment for the infected individual [1, 10]. On the other hand, accurate diagnosis of individuals could impact the assessment of endemicity, which will then determine the choices of intervention measures and subsequent evaluation of effectiveness [10]. Similar to other helminthiases, the detection of eggs in a stool is a definite diagnosis [1]. The Kato-Katz method, formalin-ether concentration technique and direct smear method are usually used for diagnosis among the fecal examination techniques [11, 12]. Owing to the simplicity of use and capacity for quantification, the Kato-Katz method is frequently applied in large epidemiological surveys, the evaluation of drug efficacy, monitoring and evaluation of intervention, etc. [3, 13, 14]. Due to the variation in the way helminths lay eggs and the deficiency of diagnostic techniques, false negative cases usually cannot be completely avoided in stool examination, especially when the number of observed eggs in the stool is low [15-19]. Thus, the strategy of increasing the number of smears from multiple stool samples is usually applied to increase sensitivity, which has been effectively demonstrated in many helminths including soil-transmitted helminths, Schistosoma spp. and Opisthorchis viverrini [15-19]. In a previous study, we demonstrated that the Kato-Katz method accuracy is highly improved by increasing the number of smears and stool samples of the individuals with C. sinensis infection after drug treatment [20]. However, the performance of this strategy has not been assessed in a natural setting with C. sinensis infection. In the present study, we evaluated the diagnostic performance of the Kato-Katz method in C. sinensis infection by increasing the number of smears and stool samples in a natural setting. Additionally, we included information on eating of raw freshwater fish into the study to explore its relationship with diagnostic performance. Meanwhile, the diagnostic performance in soil-transmitted helminth infections was also analyzed.

Methods

Study design and study area

This study was embedded in a cross-sectional study to explore the epidemiology and risk factors of clonorchiasis in middle school children in Qiyang county, Hunan province in 2013. Hunan province is located in southeastern China and Qiyang county is located in the south of Hunan province. A highly endemic town named Dazhongqiao was selected based on a previous survey [21]. The town had a total population of about 50,000 in 2013. The town had two middle schools, with 473 and 172 students, respectively. All students from the two middle schools were eligible.

Investigation procedures

Each student was asked to provide two stool samples. Furthermore, a questionnaire was administered to each participant to collect information, including whether or not they ate raw freshwater fish. The stool samples were transferred to the local Center for Disease Control and Prevention. The Kato-Katz method using 41.7 mg templates was employed to examine for the presence of helminth eggs in the stool and three thick smears for each sample were prepared and then read [22]. The helminth eggs obtained were recorded both qualitatively and quantitatively.

Statistical analysis

Only students with complete data of six smears from two stool samples were included in this analysis. The diagnostic ‘gold’ standard was defined as a combination of six Kato-Katz thick smears from two stool samples. The prevalence was defined as the proportion of the number of students with infection to the total number of students enrolled and 95% confidence intervals (95% CI) were calculated. The false negative rate was defined as the proportion of the number of cases wrongly classified as negative by a ‘non-gold’ standard in the total number of cases diagnosed by the ‘gold’ standard. Two different algorithms were applied to calculate the infection intensity in terms of eggs per gram of feces (EPG) per individual. First, the arithmetic average of the number of eggs in available smears by the ‘non-gold’ standard was multiplied by 24. Secondly, the arithmetic average of the number of eggs in all six smears by the ‘gold’ standard was multiplied by 24. Correspondingly, the geometric mean of EPG (GMEPG) of the positive cases was provided through two algorithms. However, only the second algorithm could be applied to calculate the GMEPG in the false negative cases. Student’s t-test was applied to compare the EPG after logarithmic transformation in the positive and the false negative cases. Linear regression analysis was used to test the relationship between the prevalence and infection intensity of the positive or the false negative cases based on different diagnostic standards and the coefficient of determination (R2) was provided. In C. sinensis infection, the proportion of participants eating raw freshwater fish was calculated for different groups and Pearson’s Chi-square test was applied to test the difference. When Pearson’s Chi-square test could not be used, Fisher’s exact test was used instead.

Results

Overall information

Altogether, 557 students (10–17 years-old) provided at least one stool sample. Among them, 397 students had complete data of six thick smears from two stool samples, of which 394 provided information on eating practices. Among these 397 students, 77, 20, 3 and 0 had C. sinensis, Trichuris trichiura, Ascaris lumbricoides and hookworm infections, respectively. Thus, the diagnostic performance in C. sinensis and T. trichiura was analyzed.

Diagnostic accuracy of clonorchiasis

Based on the ‘gold’ standard, 77 out of 397 students were detected as infected with C. sinensis (prevalence of 19.4%; 95% CI: 15.5–23.3%) (Table 1). The diagnostic performance improved following an increase in the number of smears. The prevalence was only 11.3% (95% CI: 8.2–14.5%) in a single smear from the first sample, which was significantly lower than that of the ‘gold’ standard. It was also significantly lower than that of four smears from two samples, which gave a prevalence of 18.4% (95% CI: 14.6–22.2%). Compared to the ‘gold’ standard, the false negative rate was 41.6% in a single smear. The false negative rate decreased following an increase in the number of smears.
Table 1

Diagnostic performance of the Kato-Katz method for C. sinensis infection

No. of smearsNo. of positive casesNo. of negative casesPrevalence (95% CI) (%)False negative rate (%)GMEPG of the positive cases (1)aOverestimation of GMEPG (%)bGMEPG of the positive cases (2)cGMEPG of the false negative casesc
1 stool × 1 smear4535211.3 (8.2–14.5)41.6126.4105.2121.223.8d
1 stool × 2 smears4934812.3 (9.1–15.6)36.4119.994.7100.826.0e
1 stool × 3 smears5534213.9 (10.4–17.3)28.691.047.879.033.1f
2 stools × 1 smear6433316.1 (12.5–19.8)16.995.455.096.16.9g
2 stools × 2 smears7332418.4 (14.6–22.2)5.274.120.370.25.7h
2 stools × 3 smears7732019.4 (15.5–23.3)0.061.60.061.6

aOnly the available smears were calculated

bThe calculation was based on the GMEPG of the positive cases (1)

cAll six smears in ‘gold’ standard were calculated

dt(75) = 4.39, P < 0.001, compared to the GMEPG of the positive cases (2)

et(75) = 3.42, P = 0.001, compared to the GMEPG of the positive cases (2)

ft(75) = 1.97, P = 0.053, compared to the GMEPG of the positive cases (2)

gt(75) = 9.62, P < 0.001, compared to the GMEPG of the positive cases (2)

ht(75) = 2.87, P = 0.005, compared to the GMEPG of the positive cases (2)

Diagnostic performance of the Kato-Katz method for C. sinensis infection aOnly the available smears were calculated bThe calculation was based on the GMEPG of the positive cases (1) cAll six smears in ‘gold’ standard were calculated dt(75) = 4.39, P < 0.001, compared to the GMEPG of the positive cases (2) et(75) = 3.42, P = 0.001, compared to the GMEPG of the positive cases (2) ft(75) = 1.97, P = 0.053, compared to the GMEPG of the positive cases (2) gt(75) = 9.62, P < 0.001, compared to the GMEPG of the positive cases (2) ht(75) = 2.87, P = 0.005, compared to the GMEPG of the positive cases (2) Following an increase in the number of smears, the GMEPG of the positive cases decreased from 126.4 to 61.6 based on available smears, which showed an overestimation by 105.2% in single smear compared to that in the ‘gold’ standard (Table 1). Correspondingly, the GMEPG of the positive cases calculated by six smears decreased from 121.2 to 61.6. Overall, the GMEPG of the false negative cases showed a declining trend. The intensity in the false negative cases was lower than that in the positive cases. The linear relationship between the prevalence and the intensity of the positive cases based on available smears was significantly negative (R2 = 0.911, P = 0.003) (Fig. 1a). We observed a negative relationship trend between the prevalence and intensity of the false negative cases based on six smears, but it was not significant (R2 = 0.630, P = 0.109) (Fig. 1b).
Fig. 1

The relationship between prevalence and infection intensity based on different diagnostic standards. a The prevalence and infection intensity of the positive cases based on available smears in C. sinensis infection. b The prevalence and infection intensity of the false negative cases based on six smears in C. sinensis infection. c The prevalence and infection intensity of the positive cases based on available smears in T. trichiura infection. d The prevalence and infection intensity of the false negative cases based on six smears in T. trichiura infection

The relationship between prevalence and infection intensity based on different diagnostic standards. a The prevalence and infection intensity of the positive cases based on available smears in C. sinensis infection. b The prevalence and infection intensity of the false negative cases based on six smears in C. sinensis infection. c The prevalence and infection intensity of the positive cases based on available smears in T. trichiura infection. d The prevalence and infection intensity of the false negative cases based on six smears in T. trichiura infection

Eating raw freshwater fish and the diagnostic performance

The proportion of C. sinensis-infected students as confirmed with the ‘gold’ standard who ate raw freshwater fish was 70.7%. This proportion in the positive cases based on different diagnostic standards did not change significantly, varying between 68.3–73.6% (Table 2). The proportion varied between 25.1–28.9% in the negative cases based on different diagnostic standards, which were all significantly lower than that of the positive cases. The proportion in the false negative cases based on different diagnostic standards who ate raw freshwater fish varied between 63.6–100.0%, which were also all higher than the proportion in the negative cases but not significantly different from the proportion in the positive cases.
Table 2

The proportion eating raw freshwater fish in different groups of C. sinensis infection based on different diagnostic standards

No. of smearsPositive casesNegative casesFalse negative cases
N Consuming raw fishNot consuming raw fishUnclear data N Consuming raw fishNot consuming raw fishUnclear data N Consuming raw fishNot consuming raw fishUnclear data
n (%)a n n n (%)a n n n (%)a n n
1 stool × 1 smear4532 (72.7)b121352101 (28.9)c24923221 (67.7)d101
1 stool × 2 smears4935 (72.9)e13134898 (28.3)f24822818 (66.7)g91
1 stool × 3 smears5539 (73.6)h14234294 (27.6)i24712214 (63.6)j80
2 stools × 1 smear6443 (68.3)k20133390 (27.2)l24121310 (83.3)m21
2 stools × 2 smears7350 (69.4)n22132483 (25.8)o239243 (100.0)p01
2 stools × 3 smears7753 (70.7)q22232080 (25.1)23910000

aNo. with unclear data was not included in the calculation of the proportion

bχ2 = 33.64, df = 1, P < 0.001, positive cases vs negative cases

cχ2 = 19.78, df = 1, P < 0.001, negative cases vs false negative cases

dχ2 = 0.22, df = 1, P = 0.641, positive cases vs false negative cases

eχ2 = 37.49, df = 1, P < 0.001, positive cases vs negative cases

fχ2 = 17.18, df = 1, P < 0.001, negative cases vs false negative cases

gχ = 0.33, df = 1, P = 0.568, positive cases vs false negative cases

hχ2 = 43.44, df = 1, P < 0.001, positive cases vs negative cases

iχ = 12.87, df = 1, P < 0.001, negative cases vs false negative cases

jχ2 = 0.74, df = 1, P = 0.389, positive cases vs false negative cases

kχ2 = 39.91, df = 1, P < 0.001, positive cases vs negative cases

lFisher’s exact test, P < 0.001, negative cases vs false negative cases

mFisher’s exact test, P = 0.491, positive cases vs false negative cases

nχ2 = 50.18, df = 1, P < 0.001, positive cases vs negative cases

oFisher’s exact test, P = 0.018, negative cases vs false negative cases

pFisher’s exact test, P = 0.551, positive cases vs false negative cases

qχ = 56.44, df = 1, P < 0.001, positive cases vs negative cases

Abbreviation: N, total number of cases

The proportion eating raw freshwater fish in different groups of C. sinensis infection based on different diagnostic standards aNo. with unclear data was not included in the calculation of the proportion bχ2 = 33.64, df = 1, P < 0.001, positive cases vs negative cases cχ2 = 19.78, df = 1, P < 0.001, negative cases vs false negative cases dχ2 = 0.22, df = 1, P = 0.641, positive cases vs false negative cases eχ2 = 37.49, df = 1, P < 0.001, positive cases vs negative cases fχ2 = 17.18, df = 1, P < 0.001, negative cases vs false negative cases gχ = 0.33, df = 1, P = 0.568, positive cases vs false negative cases hχ2 = 43.44, df = 1, P < 0.001, positive cases vs negative cases iχ = 12.87, df = 1, P < 0.001, negative cases vs false negative cases jχ2 = 0.74, df = 1, P = 0.389, positive cases vs false negative cases kχ2 = 39.91, df = 1, P < 0.001, positive cases vs negative cases lFisher’s exact test, P < 0.001, negative cases vs false negative cases mFisher’s exact test, P = 0.491, positive cases vs false negative cases nχ2 = 50.18, df = 1, P < 0.001, positive cases vs negative cases oFisher’s exact test, P = 0.018, negative cases vs false negative cases pFisher’s exact test, P = 0.551, positive cases vs false negative cases qχ = 56.44, df = 1, P < 0.001, positive cases vs negative cases Abbreviation: N, total number of cases

Diagnostic accuracy of trichuriasis

Based on six smears, 20 out of 397 students were infected with T. trichiura, with 5.0% prevalence (95% CI: 2.9–7.2%) (Table 3). The number of detected cases was 16 based on a single smear, with 4.0% prevalence (95% CI: 2.1–6.0%). Thus, the false negative rate was 20.0% in a single smear compared to the ‘gold’ standard. Although an increasing trend in prevalence could be seen following an increase in the number of smears, there was no significant difference. The intensity decreased from 58.0 in a single smear to 29.8 in six smears based on available smears and from 35.0 to 29.8 based on the six smears. Thus, there was an overestimation of intensity by 94.7% in a single smear compared to the ‘gold’ standard based on available smears.
Table 3

Diagnostic performance of the Kato-Katz method for T. trichiura infection

No. of smearsNo. of positive casesNo. of negative casesPrevalence (95% CI) (%)False negative rate (%)GMEPG of the positive cases (1)aOverestimation of GMEPG (%)bGMEPG of the positive cases (2)cGMEPG of the false negative casesc
1 stool × 1 smear163814.0 (2.1–6.0)20.058.094.735.015.7d
1 stool × 2 smears173804.3 (2.3–6.3)15.044.749.932.019.7e
1 stool × 3 smears183794.5 (2.5–6.6)10.036.723.330.821.9f
2 stools × 1 smear183794.5 (2.5–6.6)10.037.425.533.211.3g
2 stools × 2 smears203775.0 (2.9–7.2)0.032.07.429.8
2 stools × 3 smears203775.0 (2.9–7.2)0.029.80.029.8

aOnly the available smears were calculated

bThe calculation was based on the GMEPG of the positive cases (1)

cAll six smears in ‘gold’ standard were calculated

dt(18) = 1.14, P = 0.270, compared to the GMEPG of the positive cases (2)

et(18) = 0.60, P = 0.554, compared to the GMEPG of the positive cases (2)

ft(18) = 0.35, P = 0.727, compared to the GMEPG of the positive cases (2)

gt(18) = 1.15, P = 0.264, compared to the GMEPG of the positive cases (2)

Diagnostic performance of the Kato-Katz method for T. trichiura infection aOnly the available smears were calculated bThe calculation was based on the GMEPG of the positive cases (1) cAll six smears in ‘gold’ standard were calculated dt(18) = 1.14, P = 0.270, compared to the GMEPG of the positive cases (2) et(18) = 0.60, P = 0.554, compared to the GMEPG of the positive cases (2) ft(18) = 0.35, P = 0.727, compared to the GMEPG of the positive cases (2) gt(18) = 1.15, P = 0.264, compared to the GMEPG of the positive cases (2) Furthermore, we observed a significantly negative linear relationship between the prevalence and the intensity of the positive cases based on available smears (R2 = 0.862, P = 0.007) (Fig. 1c). However, no correlation was demonstrated between the prevalence and intensity of the false negative cases based on six smears (R2 = 0.001, P = 0.977) (Fig. 1d).

Discussion

Research on human liver flukes, including C. sinensis, lags behind, including the evaluation of diagnostic techniques which needs to be urgently strengthened [23-25]. The present study demonstrates the significant underestimation of clonorchiasis prevalence by the Kato-Katz method when a limited number of smears are employed in a natural setting with low endemicity. The prevalence of clonorchiasis by a single smear underestimated over 40% compared to that determined by six smears from two stool samples. The diagnostic performance increased following efforts to increase the number of smears and stool samples. These findings are consistent with other helminth studies [15-19], and also with an earlier study that evaluated drug efficacy on C. sinensis carried out by our team [20]. Applying six Kato-Katz thick smears and two examinations by the formalin-ether concentration technique from two stool samples, 38 out of 74 individuals investigated were found to have C. sinensis [20]. However, only 23 were detected in a single smear, 29 in three smears and 35 in six smears. Compared with six smears, the underestimation rate was 34.3% (12/35) in a single smear, which is similar to findings (41.6%) in this study. It is not surprising that we observed a negative linear relationship between prevalence and infection intensity of detected cases, because more cases with a lower intensity could be detected following an increase in the number of smears and thus the overall intensity will decrease. Although the difference was not significant, there was an observed trend of a negative relationship between the prevalence and intensity in the false negative cases. It can be argued that the intensity of the newly detected cases through increasing the number of smears should be higher than those cases which are still false negative. Eating raw freshwater fish correlates with C. sinensis infection [1]. To our knowledge, in this study, we first demonstrated the difference of eating practices between different populations by their infection status (the positive cases, negative cases and false negative cases) based on different diagnostic standards. The proportion eating raw freshwater fish was similar in two groups, namely the positive and false negative cases, which were both significantly higher than the negative cases group. This finding justifies that the increased prevalence is owing to the increased number of smears which enhances diagnostic capacity, other than factors such as contamination or low specificity. We also demonstrated that increasing the number of smears could improve the diagnostic accuracy of T. trichiura infection, which is consistent with other studies [16, 18]. The difference was, however, not significant in this study, due to an extreme low prevalence. The prevalence of C. sinensis (19.4%) was nearly four times greater than the prevalence of T. trichiura (5.0%); the intensity of the former was also higher than the latter. However, underestimation in terms of prevalence in a limited number of Kato-Katz smears was still higher in C. sinensis than in T. trichiura. First, the different size and morphology of eggs are important contributors. Eggs of C. sinensis are smaller, measuring 27–35 × 11–20 µm, while T. trichiura eggs measure 50–55 × 20–25 µm [26]. Furthermore, T. trichiura eggs possess a pair of polar “plugs” at both ends, which are easy to distinguish [26]. Secondly, the adults of T. trichiura parasitize the intestines, while C. sinensis adults live in the biliary system [1, 27, 28]. The eggs of C. sinensis enter the stool with bile before they are discharged. Thus, this may impact the characteristics of the egg distribution in stools. This study has several implications for clonorchiasis control. First, the application of multiple samples for diagnostic accuracy should be considered when individuals are reported negative with single smear sample, especially when the individual is highly suspected of being infected, e.g. when the person indulges in eating raw freshwater fish. Secondly, multiple samples are compulsory in drug evaluation, else the cure rate will be definitely overestimated. Thirdly, only a strict diagnosis can verify elimination of the endemicity of clonorchiasis. Fourthly, using a limited number of smears for surveys or surveillance activities in clonorchiasis low endemicity areas will significantly underestimate disease prevalence. Furthermore, taking into consideration the observed low intensity of the disease burden in children and females resulting from a lower frequency of eating raw freshwater fish [29], it is expected that underestimation in these groups will be high, hence, the need to pay attention to these groups. Although using a higher number of replicate samples require more resources, the effort is worthwhile because precise definitive diagnosis benefits subsequent treatment. There is, however, a challenge with the compliance and logistics when a higher number of replicate samples is collected for epidemiological surveys and surveillance. Thus, a correction factor should be introduced to estimate a real prevalence, which therefore needs more in-depth studies. There are some limitations in this study. First, a challenge exists in distinguishing C. sinensis eggs from minute intestinal flukes by the Kato-Katz method [1]. Although clonorchiasis is believed to be endemic in the study area [21], we could not completely rule out the possibility of infections with other flukes in some cases. Secondly, it was found that the variation between fecal samples was greater than between smears of Schistosoma mekongi, but this was not demonstrated in O. viverrini [19]. Findings from this study reported a 16.1% prevalence in a single smear from each of two samples, while it was 12.3% in two smears from a single sample. However, the difference was not statistically significant; thus, there is need for more studies on this topic to generate more insights.

Conclusions

The prevalence of C. sinensis infection is significantly underestimated, while the infection intensity is overestimated in low endemicity areas or populations because of the low accuracy of the Kato-Katz method with one fecal sample. Although a higher number of smears and samples require more resources, this deserves because it can make definite diagnosis for individuals who ate raw freshwater fish, accurately evaluate the drug efficacy and verify the elimination of endemicity. Additionally, when it is not logistically possible for multiple samples to be taken for diagnosis in surveys and surveillance in areas or populations of low endemicity, prevalence accuracy needs to be corrected.
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