Comparison of DMSA Scintigraphy and USG in Detecting Renal Cortical Scars in Children with Urinary Tract Infection

2018 ◽  
Vol 13 (03) ◽  
pp. 210-215
Author(s):  
Fatma Taşbent ◽  
Özlem Şahin
Keyword(s):  
Urinary Tract ◽  
Predictive Value ◽  
Renal Damage ◽  
Renal Scarring ◽  
Imaging Techniques ◽  
Dmsa Scintigraphy ◽  
Multiple Imaging ◽  
Tract Infections ◽  
Sensitivity Specificity ◽  
Parenchymal Damage

Objective Multiple imaging techniques may be used to evaluate the development of progressive renal damage in children with urinary tract infections (UTIs). The aim of this study was to compare the efficacy of Tc-99m dimercaptosuccinic acid (DMSA) scintigraphy and renal ultrasonography (USG) in detecting renal scars in children with UTIs. Methods A total of 630 kidneys from 364 children were included in the study and the results of DMSA and USG of children with UTIs were evaluated retrospectively between January 2016 and October 2017. DMSA scintigraphy is accepted as the gold standard and it was compared with USG results. Results The sensitivity, specificity, positive predictive value, and negative predictive value for USG in the detection of renal scarring was found as 57.1, 89.6, 40.8, and 94.4%, respectively. Conclusions Although USG is known to be safe, readily available, and relatively inexpensive, the sensitivity of USG does not seem to be sufficient to identify the renal parenchymal damage. We concluded that USG cannot replace DMSA in the evaluation of renal scarring.

Accuracy of Electronic Surveillance of Catheter-Associated Urinary Tract Infection at an Academic Medical Center

2014 ◽  
Vol 35 (06) ◽  
pp. 685-691 ◽  
Author(s):  
H. L. Wald ◽  
B. Bandle ◽  
A. Richard ◽  
S. Min
Keyword(s):  
Urinary Tract ◽  
Diagnostic Accuracy ◽  
Predictive Value ◽  
Medical Center ◽  
Academic Medical Center ◽  
University Hospital ◽  
Reference Standard ◽  
Electronic Surveillance ◽  
Tract Infections ◽  
Sensitivity Specificity

Objective.To develop and validate a methodology for electronic surveillance of catheter-associated urinary tract infections (CAUTIs).Design.Diagnostic accuracy study.Setting.A 425-bed university hospital.Subjects.A total of 1,695 unique inpatient encounters from November 2009 through November 2010 with a high clinical suspicion of CAUTI.Methods.An algorithm was developed to identify incident CAUTIs from electronic health records (EHRs) on the basis of the Centers for Disease Control and Prevention (CDC) surveillance definition. CAUTIs identified by electronic surveillance were compared with the reference standard of manual surveillance by infection preventionists. To determine diagnostic accuracy, we created 2 × 2 tables, one unadjusted and one adjusted for misclassification using chart review and case adjudication. Unadjusted and adjusted test statistics (percent agreement, sensitivity, specificity, positive predictive value [PPV], negative predictive value [NPV], and κ) were calculated.Results.Electronic surveillance identified 64 CAUTIs compared with manual surveillance, which identified 19 CAUTIs for 97% agreement, 79% sensitivity, 97% sensitivity, 23% PPV, 100% NPV, and κ of .33. Compared with the reference standard adjusted for misclassification, which identified 55 CAUTIs, electronic surveillance had 98% agreement, 80% sensitivity, 99% specificity, 69% PPV, 99% NPV, and κ of .71.Conclusion.The electronic surveillance methodology had a high NPV and a low PPV compared with the reference standard, indicating a role of the electronic algorithm in screening data sets to exclude cases. However, the PPV markedly improved compared with the reference standard adjusted for misclassification, suggesting a future role in surveillance with improvements in EHRs.Infect Control Hosp Epidemiol2014;35(6):685–691

scholarly journals Macroscopy and Microscopy Urinalysis: A Vital Screening Procedure for Urinary Tract Infections (UTIs) in a Hospital in Awka, Nigeria

2020 ◽  
Vol 11 (1) ◽  
pp. 143
Author(s):  
Uchechukwu G. Nwankwo ◽  
Chinenye U. Ezebialu ◽  
Joachim O. Ezeadila ◽  
Ikechukwu Okoli
Keyword(s):  
Urinary Tract ◽  
Positive Predictive Value ◽  
Predictive Value ◽  
Urine Culture ◽  
Positive Urine ◽  
Microscopic Features ◽  
Tract Infections ◽  
Sensitivity Specificity ◽  
Urine Microscopy ◽  
Urine Colour

Urine examination has been employed in clinical practice as the most common screening laboratory method for early detection of urinary tract infections (UTIs) or renal disorder. This study was undertaken to ascertain the usefulness of urine macroscopy and microscopy as vital screening procedure for diagnosing UTI among antenatal patients in a teaching hospital in Awka, Nigeria. Freshly voided midstream urine specimens of 269 pregnant women were collected and examined using macroscopic, microscopic and culture methods. The sensitivity, specificity, positive predictive value and negative predictive value of urine colour, and microscopic features were compared with urine culture in diagnosis of UTI. Statistical analysis was done using SPSS and Epi info® and P-value was set at <0.05 significant level. One hundred and seven specimens showed positive urine cultures. Out of these 107 specimens, 60 (56.1%) also had deviation from normal urine colour and 77(72%) were positive on urine microscopy. Macroscopic examination showed that a significant relationship exists between urine colour and positive urine culture (p=0.0001). The sensitivity and specificity of urine colour with respect to UTI were 56.7% and 67.9% respectively. Urine microscopy revealed that the positive features had a significant relationship with positive urine culture (p= 0.000). Pyuria alone showed the specificity and positive predictive value of 100% each. The sensitivity, specificity, positive predictive value and the negative predictive value of combination of positive microscopic features were 72%, 64.8%, 57.5% and 77.8% respectively. Examination of colours and microscopic features of urine are therefore vital in predicting urinary tract infection.

Accuracy of Electronic Surveillance of Catheter-Associated Urinary Tract Infection at an Academic Medical Center

2014 ◽  
Vol 35 (6) ◽  
pp. 685-691 ◽  
Author(s):  
H. L. Wald ◽  
B. Bandle ◽  
A. Richard ◽  
S. Min
Keyword(s):  
Urinary Tract ◽  
Diagnostic Accuracy ◽  
Predictive Value ◽  
Medical Center ◽  
Academic Medical Center ◽  
University Hospital ◽  
Reference Standard ◽  
Electronic Surveillance ◽  
Tract Infections ◽  
Sensitivity Specificity

Objective.To develop and validate a methodology for electronic surveillance of catheter-associated urinary tract infections (CAUTIs).Design.Diagnostic accuracy study.Setting.A 425-bed university hospital.Subjects.A total of 1,695 unique inpatient encounters from November 2009 through November 2010 with a high clinical suspicion of CAUTI.Methods.An algorithm was developed to identify incident CAUTIs from electronic health records (EHRs) on the basis of the Centers for Disease Control and Prevention (CDC) surveillance definition. CAUTIs identified by electronic surveillance were compared with the reference standard of manual surveillance by infection preventionists. To determine diagnostic accuracy, we created 2 × 2 tables, one unadjusted and one adjusted for misclassification using chart review and case adjudication. Unadjusted and adjusted test statistics (percent agreement, sensitivity, specificity, positive predictive value [PPV], negative predictive value [NPV], and κ) were calculated.Results.Electronic surveillance identified 64 CAUTIs compared with manual surveillance, which identified 19 CAUTIs for 97% agreement, 79% sensitivity, 97% sensitivity, 23% PPV, 100% NPV, and κ of .33. Compared with the reference standard adjusted for misclassification, which identified 55 CAUTIs, electronic surveillance had 98% agreement, 80% sensitivity, 99% specificity, 69% PPV, 99% NPV, and κ of .71.Conclusion.The electronic surveillance methodology had a high NPV and a low PPV compared with the reference standard, indicating a role of the electronic algorithm in screening data sets to exclude cases. However, the PPV markedly improved compared with the reference standard adjusted for misclassification, suggesting a future role in surveillance with improvements in EHRs.Infect Control Hosp Epidemiol 2014;35(6):685–691

scholarly journals New Markers: Urine Xanthine Oxidase and Myeloperoxidase in the Early Detection of Urinary Tract Infection

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Pınar Ciragil ◽  
Ergul Belge Kurutas ◽  
Meral Miraloglu
Keyword(s):  
Urinary Tract ◽  
Early Detection ◽  
Xanthine Oxidase ◽  
Predictive Value ◽  
Culture Method ◽  
Spot Urine ◽  
E Coli ◽  
Tract Infections ◽  
Sensitivity Specificity ◽  
Urine Specimens

Objectives.The aim of this study was to evaluate if xanthine oxidase and myeloperoxidase levels quantitation method may alternate routine culture method, which takes more time in the diagnosis of urinary tract infections.Material and Methods.Five hundred and forty-nine outpatients who had admitted to Clinic Microbiology Laboratory were included in the study. The microorganisms were identified by using VITEK System. The urine specimens that were negative from the quantitative urine culture were used as controls. The activities of MPO and XO in spot urine were measured by spectrophotometric method.Results.Through the urine cultures, 167 bacteria were isolated from 163 urine specimens; 386 cultures yielded no bacterial growth.E. coliwas the most frequent pathogen. In infection withE. coliboth XO and MPO levels were increased the most. The sensitivity, specificity, positive predictive value, and negative predictive value for XO were 100%, 100%, 100%, and 100%, respectively. These values for MPO were 87%, 100%, 100%, and 94%, respectively.Conclusion.These data obtained suggest that urine XO and MPO levels may be new markers in the early detection of UTI.

185 Urine cytokines profile in women with recurrent urinary tract infections and renal scarring

2012 ◽  
Vol 11 (1) ◽  
pp. e185
Author(s):  
N.M. Stepanova ◽  
V.E. Driyanska ◽  
V.Y. Kundin ◽  
O.A. Romanenko ◽  
T.I. Berezyak
Keyword(s):  
Urinary Tract ◽  
Urinary Tract Infections ◽  
Renal Scarring ◽  
Recurrent Urinary Tract Infections ◽  
Tract Infections

scholarly journals Comparing the Performance of the New Fully Automated Urine Particle Analyzer UF-5000 with UF-1000i and Gram Stain in Predicting Bacteria Growth Patterns in Women with Uncomplicated Urinary Tract Infections

2020 ◽  
Author(s):  
Stephen Shei-Dei Yang ◽  
Chun-Chun yang ◽  
Yi-Shen Chen ◽  
Shangjen chang
Keyword(s):  
Urinary Tract ◽  
Urine Analysis ◽  
Growth Patterns ◽  
Gram Stain ◽  
Gram Positive ◽  
Gram Negative ◽  
Bacterial Patterns ◽  
Tract Infections ◽  
Sensitivity Specificity ◽  
Gram Positive Cocci

Abstract BackgroudTo compare the performance of the new flow cytometer UF-5000 with UF-1000i (Sysmex, Kobe, Japan) and Gram stain in predicting the bacterial patterns in urine samples MethodsWomen with symptoms suggestive of urinary tract infection were enrolled. Mid-stream urine sample was collected for gram staining, urine analysis and urine culture. Bacterial patterns were classified though UF1000i (none, cocci bacteria or rods/mixed growth), UF-5000 (none, cocci, rods or mixed growth) and Gram stain. Results Among the 102 samples, there were 10 gram-positive cocci, 2 gram-positive bacilli, 66 gram-negative rods, and 24 mixed growth. The sensitivity/specificity of the UF-1000i was 81.8/91.1% for gram-negative rods and 23.5/96.9% for cocci/mixed. The sensitivity/specificity of the UF-5000 was 80.0/88.2% for gram negative rods and 70.0/86.5% for gram-positive cocci.ConclusionsThe UF-5000 demonstrated the good sensitivity and specificity for Gram-negative bacilli bacteria and demonstrated an improved sensitivity for detecting Gram-positive cocci.

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