Journal List > Lab Med Online > v.11(3) > 1147216

A Study for Accurate Reporting of Bacteria in Urine by Manual Microscopic Examination

Abstract

Background

Since there is no standardized criterion for the semi quantitation of bacteria in manual microscopic examination, activities for reducing the subjectiveness of manual microscopic examination for detecting urinary bacteria are required.

Methods

This study was performed on specimens with result of WBC 0-1/a few bacteria in an automated urine sediment analyzer (Roche Diagnostic International, Switzerland). To establish the criterion for semi quantitation of bacterial counting, 43 specimens were examined by five technologists using manual microscopy and compared with the results of Gram staining. After application of the criterion, 71 specimens were examined by manual microscopy, following which, Gram staining and a urine culture were also performed.

Results

The newly established criterion was as follows: negative (<20/high-power field, HPF), a few (20-30/HPF), moderate (31-49/HPF), and many (≥50/HPF). The analytical sensitivity of the instrument was adjusted (from 18.18/field to 30/field) to decrease false positivity. After establishment of the criterion and education, the agreement rate was increased from 52.8% to 95.8%, and the specificity increased from 32.5% to 87.7% with the same sensitivity.

Conclusions

It will be necessary to ensure that all technologists apply the same criterion in the laboratory and clinical settings, assess the analytical sensitivity of an automated analyzer, and educate on the correct interpretation of urine microscopic examination.

초록

배경

요 수기 검경 시 반정량 기준이 표준화되어 있는 적혈구나 백혈구와 달리 요 중 박테리아는 아직까지 이에 대한 분명한 기준이 없다. 이에 저자들은 일선 검사실에서 요 중 박테리아 수기 검경 과정을 점검하고 반정량에 대한 검사실 내부 표준지침을 수립하여 적용했던 경험을 보고하고자 한다.

방법

본 연구에서는 요침사 자동화 장비(Cobas u 701, Roche Diagnostics International, Switzerland)의 결과가 ‘WBC 0-1/a few bacteria’인 검체를 대상으로 하였다. 일정 기간 분석된 568건의 요 검체 중 대상 검체는 70개였고 그중 장비에 저장된 이미지로 육안 판독이 불가능했던 43개 검체에 대해 5명의 검사자가 각각 수기 검경을 하였고 그람 염색을 시행하였다. 새 기준을 적용한 뒤 71개 검체를 수기 검경하고, 그람 염색과 요 배양을 시행하여 결과를 비교하였다.

결과

본 연구를 통해 요 박테리아 수기 검경 시 반정량의 기준을 ‘negative (<;20/high-power field, HPF), a few (20-30/HPF), moderate (31-49/HPF), many (≥50/HPF)’로 정하였다. 새 기준과 장비 이미지 육안 판독을 위한 교육을 시행하였고, 장비의 분석민감도도 18.18/field에서 30/field로 조정하였다. 그 결과, 검사자 간 판독 결과의 일치도는 52.8%에서 95.8%로 증가하였고, 동일한 민감도를 보이면서도 특이도가 32.5%에서 87.7%로 증가하였다.

결론

임상 검사실은 그람 염색이나 요 배양 결과를 검토함으로써 적절한 요 박테리아의 수기 검경 시 반정량의 기준을 수립하고 검사자 교육을 지속적으로 하여 일관되고 정확한 요 박테리아 결과를 제공해야 할 것이다.

INTRODUCTION

Urinary tract infection (UTI) is a common infectious disease of the urogenital system [1]. UTIs are diagnosed by studying a urine culture and noting its clinical manifestations. The urine culture study has been known as the gold standard for diagnosis of UTIs, despite it being time-consuming and labor intensive. However, in patients with poor immunity, a rapid diagnostic evaluation may be required since UTIs may cause serious complications [2, 3].
The urinalysis consists of a chemical examination using a urine strip and microscopic examination of the urine sediment, usually through automated analyzers [4]. However, manual microscopic examination is still considered the reference method for urine sediment examination [5]. Therefore, manual microscopic examination should be used when the results of the urine sediment analyzer are discordant with the results of the urine strip analyzer - such as RBC vs. occult blood, WBC vs. leukocyte esterase, cast vs. protein, or bacteria vs nitrite.
However, the methods of manual microscopic examination are not standardized [6]. In addition, there is a wide inter-observer variability among laboratory technologists [7]. According to several studies comparing automated analyzer and manual microscopic examinations, relatively good correlation was reported for cell counts of red blood cells, white blood cells, and epithelial cells but not for counts of bacteria [8-10]. It is important to standardize the method for bacterial counting since it can provide a clue for the diagnosis of UTI. Generally, clinical laboratories report semiquantitative methods for bacteria (negative, a few/rare, moderate, many), but there is no standardized criterion for counting them.
Cobas u 701 (Roche Diagnostics International, Rotkreuz, Switzerland) is based on auto-captured images and has recently been introduced into clinical laboratories. The detection rate of bacteria in Cobas u 701 is controlled by the analytical sensitivity of the instrument, as well as those of other cellular components [11]. Generally, analytical sensitivity of bacteria was evaluated as part of the process for diagnostic performance at the onset of automated urine sediment analysis. The analytical sensitivity of bacteria of Cobas u 701 is primarily set at 18.18/field, but it may be increased to 30 or 50 depending on the performance evaluation results and the laboratory operating policy. Therefore, the analytical sensitivity of bacteria needs to be included as an important consideration in reporting the results of urinary bacteria.
In this study, we introduce several ways to accurately report bacteria in urine by manual microscopic examination in a clinical laboratory; the establishment of the criterion, adjustment of the analytical sensitivity of the instrument, and education about urine microscopic examination. We then evaluated whether the agreement rate between technologists increased following application of the criterion.

MATERIALS AND METHODS

This study was carried out sequentially, beginning with establishment of the criterion for semi quantitation of bacteria in manual microscopic examination of urine, followed by analysis of the results of applying the criterion to clinical specimens. This study was approved by the Institutional Review Board of Kyung Hee University Hospital at Gangdong.

1. Selection of specimens and study design

These studies were performed on specimens with WBC 0-1/a few bacteria in the Cobas u 701 automated urine sediment analyzer. Selection of specimens and study design are shown in Fig. 1.

1) Analysis for establishing the criterion for semi quantitation of bacteria

Among the 568 urine specimens analyzed by the Cobas u 701 in three days, 70 (12.3%) reported results of WBC 0-1/a few bacteria. Twenty-seven specimens (38.6%) could be interpreted with digital images stored in Cobas u 701. The technologist in charge checked the digital images and reported no bacteria as ‘negative’ and definite rod-shaped bacteria as ‘positive’ (Fig. 2). The remaining 43 specimens (61.4%) could not be interpreted as cocci or contained artifacts such as air bubbles or dust on digital images. Further, five well-trained laboratory technologists examined urine slides using microscopy and separately recorded the results of semi quantitation of bacteria. Gram staining was also performed on these specimens.

2) Establishment of the criterion

We assessed the five technologists’ individual criteria for semi quantitation of bacteria, and the results of the manual microscopic examinations were compared with those of the Gram stains. We established the criterion for semi quantitation of bacteria during manual microscopic examinations, considering these results.

3) Evaluation of usefulness of established criterion

Among the 1,966 urine specimens analyzed by Cobas u 701 in two weeks, 215 (10.9%) reported results were of WBC 0-1/a few bacteria. A total of 71 specimens were subjected to manual microscopic examination by the same five technologists, after excluding 143 specimens that could be interpreted as having negative or positive results by the digital images of the Cobas u 701. On these 71 specimens, Gram staining and a urine culture were also conducted. We evaluated the agreement rate between technologists and analyzed the sensitivity and specificity of manual microscopic examination based on the results of urine culture and Gram staining.

2. Urine sediment analysis using Cobas u 701

A sample of 200 μL of well-mixed un-centrifuged urine was transferred to a cuvette and centrifuged in the analyzer. Fifteen high-quality digital images were captured and interpreted by Auto Image Evaluation Module software (Roche Diagnostics International). For bacteria, Cobas u 701 reported semiquantitative results as negative, a few, moderate, or many.

3. Manual microscopic examination of urine

Ten milliliters of well-mixed urine was centrifuged (1,500 rpm, 5 minutes). Following this, the supernatant was decanted, and the remaining 150 μL was re-suspended. One drop was placed on the slides and covered with an 18×18 mm cover slip. The smear was examined using microscopy under high-power field (HPF, ×400). Before establishment of the new criterion, the results were reported according to the individual criterion of the five technologists. However, for evaluation of the established criterion, the mean value of the 5 HPFs was calculated and reported according to the newly established criterion (negative: <20, a few: 20–30, moderate: 31–49, many: ≥50 per HPF). The results of ‘agreement’ were defined as four or more of the five technologists reporting the same results.

4. Gram staining

One drop (about 50 μL) of urine was placed on a slide and allowed to air dry. The smear was stained with Gram stain and examined for the presence of bacteria under an oil immersion microscope (×1,000 magnification). A positive result was defined as the presence of ≥1 bacteria/oil immersion field [12, 13].

5. Urine culture

A urine culture was performed by inoculating 1 μL of urine onto a 5% sheep blood agar plate and MacConkey agar (Bi-plate [BAP/MAC], Asan Pharmaceutical Co., Yongin, Korea) and streaking the entire plate surface. The agar plates were incubated aerobically at 35°C for 24 hours. Positive results were defined as the presence of colony forming units ≥105/mL. No growth or less than 105/mL was considered negative. Three or more isolates without a dominant pathogen was regarded as contamination.

RESULTS

1. Analysis of the results of manual microscopic examination before establishment of the criterion

Agreement was observed in 25 (58.2%) of the 43 specimens (Table 1). The rates of positive results for the five technologists ranged from 22.2% to 83.3%. In total, there were 11 positive results and 14 negative results (Table 2). Among the 11 positive specimens with agreement, a positive result by Gram staining was detected in only two specimens (18.2%). All 14 negative specimens with agreement showed negative results by Gram staining. Amongst the 18 specimens (41.8%) showing discrepant results from these technologists, only one had a positive result by Gram staining. Based on Gram staining results, the sensitivity and specificity of manual microscopic examination were 66.7% and 32.5%, respectively. The positive predictive value (PPV) and negative predictive value (NPV) of manual microscopic examination were 18.2% and 100%, respectively.

2. Establishment of criterion for semi quantitation of bacteria during manual microscopic examination of urine and other considerations

The criteria used by the five technologists were different from each other (Table 3). The lower limit of the ‘a few’ result varied from 4 to 10/HPF, and the corresponding upper limit ranged widely from 10 to 50/HPF.
Table 2 shows that more than 80% of the specimens with positive results of bacteria were negative for Gram stain. In addition, over 90% of the specimens with discrepant results between technologists were negative for Gram stain. These results showed low specificity. To increase the specificity of manual microscopic examination, the lower limit of the ‘a few’ result was adjusted to 20/HPF [14], and the following definitions were established: negative (<20), a few (20–30), moderate (31–49), many (≥50). Further, our clinical laboratory technologists were trained on the criterion, and five fields were observed at each test to determine the mean value of bacterial counts.
In addition, there was no correlation between the lower limit of ‘a few’ and the positive rate between the five technologists. For technologists 1, 2, and 3, the positive rate was high (60–80%) even though the lower limit for the ‘a few’ result was higher (10/HPF) than that of technologists 4 and 5 (4 or 5/HPF). These results showed that there were many cases with misinterpretation owing to dust, air bubbles or cocci bacteria. This may be caused by inadequate education about urine manual microscopy of cocci bacteria. We made several bacteriuria specimens for education by spiking small colonies of enterococci on urine samples with a negative urine sediment analysis. Then, the clinical laboratory technologists were educated and trained on the microscopic shape and character of cocci in urine.
Finally, we adjusted the analytical sensitivity of bacteria from 18.18/field to 30/field according to results from this study with the objective of decreasing false positivity. After adjustment, the rate of specimens with WBC 0–1/a few bacteria from Cobas u 701 was slightly decreased from 12.3% to 10.9%.

3. Evaluation of the established criterion in a larger population

Among the 71 specimens, agreement was observed in 68 (95.8%) (Table 4). There were 10 positive results and 58 negative ones. Among the 10 positive specimens with agreement, positivity by Gram staining and urine culture was detected in 7 (70%) and 4 specimens (40%), respectively. In the 58 negative specimens with agreement, negativity of Gram stain and culture study was observed in 53 (91.4%) and 56 specimens (96.6%), respectively. Based on Gram stain results, the sensitivity and specificity of manual microscopic examination were 53.8% (7/13) and 91.4% (53/58), respectively. Based on the results from culture study, the sensitivity and specificity of manual microscopic examination were 66.7% (4/6) and 86.2% (56/65), respectively. The PPV and NPV of manual microscopic examination for Gram staining results were 70% (7/10) and 91.4% (53/58), respectively. The PPV and NPV for urine culture results were 40% (4/10) and 96.6% (56/58), respectively.

DISCUSSION

Urine sediment analysis is one of the two axes of urinalysis and is performed with the urine strip test. Urine sediment analysis is traditionally based on microscopic examination. Findings about erythrocytes, leukocytes, various epithelial cells, casts, crystals, bacteria, yeasts and other elements are reported. However, introduction of the automated urine sediment analyzer in 1982 allowed faster and more precise analysis [15]. Most automated urine sediment analyzers in clinical laboratories adapted a flow cytometry or image-based method as the principle [8]. Cobas u 701 detects urine sediments using 15 digital images captured by a digital camera. They report quantitative results for RBC or WBC and semiquantitative results for bacteria, epithelial cells, and hyaline casts. For pathological casts, crystals, yeasts, mucus, and sperm, qualitative data are provided. In cases where it is necessary to confirm the results, technologists can examine the stored digital images. However, manual microscopic examination should be performed when it is difficult to interpret results using the images. It is not easy to interpret the existence of bacteria by only digital images [16-18]. Correct detection of cocci is more difficult than that of rod forms, digitally [11]. Therefore, manual microscopic examination is an essential procedure in a clinical laboratory, and there is a need for standardization of the criterion for semi quantitation to obtain an accurate diagnosis of UTI.
However, a standardized criterion has not been established. Several studies reported sensitivity and specificity according to various lower limits for positive results of bacteria. When the criterion of positivity was set to ≥1/HPF, the sensitivity was greater than 90% and specificity was 50-80% [19, 20]. In the same article, when the criterion was set to ≥100/HPF, the sensitivity was 60-80% and the specificity was almost 100%. In a review article, the authors suggested four categories: negative, <1/HPF, ≥1 and ≤50/HPF, and >50/HPF [21]. In another literature, the suggested lower limit of positivity was 20/HPF [14].
We established the criterion by considering the technologists’ individual criteria and by analysis of comparative data of manual microscopic examination and Gram staining. There was weak agreement (58.2%) between the technologists because no clear-cut criterion for bacterial counting existed. Although the sensitivity was not high, the specificity was very low at 32.5%. This result implied that there was a high rate of false positivity of manual microscopic examination. At that time, the clinicians at our hospital complained that there was a tendency of ‘a few’ bacteria in urine sediment analysis even in patients with very low necessity for retest or further examination. We assessed each criterion of the five technologists and raised the lower limit of the ‘a few’ result to ≥20/HPF.
When the newly established criterion was applied, the specificity increased to 87.7% with the same sensitivity (66.7%). The sensitivity or specificity of Cobas u 701 based on urine culture was not analyzed in this study. However, in a comparison study of diagnostic performance of bacteria for Cobas u 701 and urine culture, the sensitivity and specificity were 81.5% and 73.8%, respectively (with analytical sensitivity of 30/field) [11]. Based on the two studies (this study and reference [11]), there was no statistical difference in sensitivity between Cobas u 701 and manual microscopic examination, but specificity was significantly higher in manual microscopic examination (P<0.05). In addition, following the new criterion, the PPV of manual microscopic examination for Gram stain was improved significantly from 18% to 70%. Consequently, patients with positive results of urinary bacteria by manual microscopic examination were more likely to have UTI clinically when applying the new criterion.
Further studies with more specimens with positive results of urine culture are needed. With the establishment of the new criterion, it is also necessary to ensure that technologists can distinguish between cocci and other artifacts in urine microscopic examination and to educate them to interpret the results correctly. Further, since the detection rate varies depending on the analytical sensitivity of the analyzer, adjustment of analytical sensitivity should be considered when the false positive rate of the analyzer is high [11]. Thus, we adjusted the analytical sensitivity of the Cobas u 701 from 18.18/field to 30/field.
In this study, we targeted specimens with initial results of WBC 0-1/a few bacteria from the automated urine sediment analyzer. It can be difficult to determine whether that result is to be ignored as contamination or to be retested, especially for women. Therefore, in these cases, confirmation of the actual existence of bacteria is needed. During the study period, these cases comprised about 10% of the sample population. Among them, 59.6% ([27+143]/[70+215]) of the specimens could be interpreted on stored digital images (positive results: 46.2%, data not shown). A total of about 40% of specimens were targeted for manual microscopic examination.
The limitation of this study is that there was a small number of specimens with positive results from urine culture. Therefore, even though the lower limit before establishment of the new criterion was low (4-10/HPF), the sensitivity was lowered to 66%. There is a need to analyze more specimens with positive results of urine culture. In addition, the amount of urine observed in urine sediment analyzer, manual microscopy, and Gram stain was different. Further study is needed because the amount of urine used in the test may affect the sensitivity or specificity of the test.
This study suggests several important points. Through this study, it can be seen that each technologist has a different standard for semi quantitation of urine bacteria in manual microscopic examination. Moreover, when the new criterion was established by applying the experimental results with appropriate education, more clinically useful information could be reported. Additionally, the process is described in detail so that it can be practically applied to other clinical laboratories.
In clinical laboratories, it will be necessary to ensure that all technologists are applying the same criterion. In addition, it is necessary to assess the analytical sensitivity of the automated urine sediment analyzer and the need for education about the correct interpretation of urine microscopic examination.

Notes

Conflicts of Interest

None declared.

REFERENCES

1. dos Santos JC, Weber LP, Perez LR. 2007; Evaluation of urinalysis parameters to predict urinary-tract infection. Braz J Infect Dis. 11:479–81. DOI: 10.1590/S1413-86702007000500008. PMID: 17962874.
crossref
2. Broeren MA, Bahçeci S, Vader HL, Arents NL. 2011; Screening for urinary tract infection with the Sysmex UF-1000i urine flow cytometer. J Clin Microbiol. 49:1025–9. DOI: 10.1128/JCM.01669-10. PMID: 21248088. PMCID: PMC3067737.
crossref
3. Hsiao CY, Yang HY, Chang CH, Lin HL, Wu CY, Hsiao MC, et al. 2015; Risk factors for development of septic shock in patients with urinary tract infection. Biomed Res Int. 2015:717094. DOI: 10.1155/2015/717094. PMID: 26380292. PMCID: PMC4561874.
crossref
4. Mundt LA, Shanahan K, editors. 2011. Graff’s textbook of routine urinalysis and body fluids. 2nd ed. Wolters Kluwer Health/Lippincott Williams & Wilkins Health;PA: p. 36.
5. Zaman Z, Fogazzi GB, Garigali G, Croci MD, Bayer G, Kránicz T. 2010; Urine sediment analysis: Analytical and diagnostic performance of sediMAX - a new automated microscopy image-based urine sediment analyser. Clin Chim Acta. 411:147–54. DOI: 10.1016/j.cca.2009.10.018. PMID: 19861122.
crossref
6. Ko DH, Ji M, Kim S, Cho EJ, Lee W, Yun YM, et al. 2016; An approach to standardization of urine sediment analysis via suggestion of a common manual protocol. Scand J Clin Lab Invest. 76:256–63. DOI: 10.3109/00365513.2016.1144141. PMID: 26963924.
crossref
7. Winkel P, Statland BE, Jorgensen K. 1974; Urine microscopy, an ill-defined method, examined by a multifactorial technique. Clin Chem. 20:436–9. DOI: 10.1093/clinchem/20.4.436. PMID: 4818195.
8. Lee W, Ha JS, Ryoo NH. 2016; Comparison of the automated cobas u 701 urine microscopy and UF-1000i flow cytometry systems and manual microscopy in the examination of urine sediments. J Clin Lab Anal. 30:663–71. DOI: 10.1002/jcla.21919. PMID: 26842372. PMCID: PMC6807231.
crossref
9. Yüksel H, Kiliç E, Ekinci A, Evliyaoğlu O. 2013; Comparison of fully automated urine sediment analyzers H800-FUS100 and LabUMat-UriSed with manual microscopy. J Clin Lab Anal. 27:312–6. DOI: 10.1002/jcla.21604. PMID: 23852791. PMCID: PMC6807495.
crossref
10. İnce FD, Ellidağ HY, Koseoğlu M, Şimşek N, Yalçın H, Zengin MO. 2016; The comparison of automated urine analyzers with manual microscopic examination for urinalysis automated urine analyzers and manual urinalysis. Pract Lab Med. 5:14–20. DOI: 10.1016/j.plabm.2016.03.002. PMID: 28856199. PMCID: PMC5574505.
crossref
11. Kim SH, Song SA, Urm SH, Kook JK, Kim HR, Yong D, et al. 2017; Evaluation of the Cobas u 701 microscopy analyser compared with urine culture in screening for urinary tract infection. J Med Microbiol. 66:1110–3. DOI: 10.1099/jmm.0.000553. PMID: 28771134.
crossref
12. Pfaller MA, Baum CA, Niles AC, Murray PR. 1983; Clinical laboratory evaluation of a urine screening device. J Clin Microbiol. 18:674–9. DOI: 10.1128/jcm.18.3.674-679.1983. PMID: 6195180. PMCID: PMC270873.
crossref
13. European Confederation of Laboratory Medicine. 2000; European urinalysis guidelines. Scand J Clin Lab Invest Suppl. 231:1–86. DOI: 10.1080/00365513.2000.12056993.
14. Kunin CM. 1997. Urinary tract infections: detection, prevention, and management. 5th ed. Williams & Wilkins;Baltimore, MD: p. 59.
15. Deindoerfer FH, Gangwer JR, Laird CW, Ringold RR. 1985; "The Yellow IRIS" urinalysis workstation--the first commercial application of "automated intelligent microscopy". Clin Chem. 31:1491–9. DOI: 10.1093/clinchem/31.9.1491. PMID: 4028398.
crossref
16. Budak YU, Huysal K. 2011; Comparison of three automated systems for urine chemistry and sediment analysis in routine laboratory practice. Clin Lab. 57:47–52.
17. Lamchiagdhase P, Preechaborisutkul K, Lomsomboon P, Srisuchart P, Tantiniti P, Khan-u-Ra N, et al. 2005; Urine sediment examination: a comparison between the manual method and the iQ200 automated urine microscopy analyzer. Clin Chim Acta. 358:167–74. DOI: 10.1016/j.cccn.2005.02.021. PMID: 16018883.
crossref
18. Alves L, Ballester F, Camps J, Joven J. 2005; Preliminary evaluation of the Iris IQ 200 automated urine analyser. Clin Chem Lab Med. 43:967–70. DOI: 10.1515/CCLM.2005.166. PMID: 16176179.
crossref
19. Littlewood JM, Jacobs SI, Ramsden CH. 1977; Comparison between microscopical examination of unstained deposits of urine and quantitative culture. Arch Dis Child. 52:894–6. DOI: 10.1136/adc.52.11.894. PMID: 339849. PMCID: PMC1544817.
crossref
20. Pryles CV, Eliot CR. 1965; Pyuria and bacteriuria in infants and children. The value of pyuria as a diagnostic criterion of urinary tract infections. Am J Dis Child. 110:628–35. DOI: 10.1001/archpedi.1965.02090030656007. PMID: 5320881.
21. Jenkins RD, Fenn JP, Matsen JM. 1986; Review of urine microscopy for bacteriuria. JAMA. 255:3397–403. DOI: 10.1001/jama.1986.03370240067039. PMID: 2423720.
crossref

Fig. 1
An outline of the study.
Abbreviation: WBC, white blood cell.
lmo-11-3-155-f1.tif
Fig. 2
Digital images from Cobas u 701. (A) Arrows indicate rod bacteria. (B) Arrows indicated cocci-like features, but were confirmed as artifacts by manual microscopic examination.
Abbreviation: SEC, squamous epithelial cell.
lmo-11-3-155-f2.tif
Table 1
Eighteen cases showing inter-observer variability among five technologists before establishment of a criterion
Case No. Bacteria in urine

1 2 3 4 5
1 A few A few - A few -
2 - - A few - A few
3 A few - A few - -
4 A few - A few - A few
5 - A few A few - -
6 A few A few A few - -
7 A few A few - - -
8 A few A few - A few -
9 A few A few A few - -
10 A few A few - - A few
11 A few A few A few - -
12 A few A few A few - -
13 A few - - A few -
14 A few A few A few - -
15 - A few A few A few -
16 A few - A few A few -
17 A few - - A few -
18 A few - A few - A few
Positive rate 83.3% 61.1% 66.7% 33.3% 22.2%
Table 2
Comparison of the results of manual microscopic examination of urine by five technologists with the results by Gram staining before establishment of criterion
Manual microscopic examination Gram staining Total (%)

Positive (%) Negative (%)
Positive* 2 (18.2) 9 (81.8) 11 (25.6)
Negative* 0 14 (100) 14 (32.6)
Discrepancy 1 (5.6) 17 (94.4) 18 (41.8)
Total 3 (6.9) 40 (93.1) 43 (100)

*Indicates that the same results were obtained by four or more of the five technologists.

Table 3
The criteria for semi-quantitation of bacteria by the five technologists before establishment of criterion and a newly established criterion
Technologist Negative A few Moderate Many
1 < 10 10–50 51–99 ≥ 100
2 < 10 10–30 31–49 ≥ 50
3 < 10 10–15 16–49 ≥ 50
4 < 5 5–10 11–49 ≥ 50
5 < 4 4–20 21–49 ≥ 50
Established criterion < 20 20–30 31–49 ≥ 50
Table 4
Comparison of the results of manual microscopic examination of urine by five technologists with the results by Gram staining and urine culture after application of the criterion
Manual microscopic examination Gram staining Urine culture Total


Positive (%) Negative (%) Positive (%) Negative (%)
Positive* 7 (70) 3 (30) 4 (40) 6 (60) 10 (14.1)
Negative* 5 (8.6) 53 (91.4) 2 (3.4) 56 (96.6) 58 (81.7)
Discrepancy 1 (33.3) 2 (66.7) 0 3 (100) 3 (4.2)
Total 13 (18.3) 58 (81.7) 6 (8.5) 65 (91.5) 71 (100)

*Indicates that the same results were obtained by four or more of the five technologists.

TOOLS
Similar articles