Evaluation of red blood cell parameters provided by the UF-5000 urine auto-analyzer in patients with glomerulonephritis

Abstract Objectives The microscopic examination of hematuria, a cardinal symptom of glomerulonephritis (GN), is time-consuming and labor-intensive. As an alternative, the fully automated urine particle analyzer UF-5000 can interpret the morphological information of the glomerular red blood cells (RBCs) using parameters such as UF-5000 small RBCs (UF-%sRBCs) and Lysed-RBCs. Methods Hematuria samples from 203 patients were analyzed using the UF-5000 and blood and urine chemistries to determine the cut-off values of RBC parameters for GN and non-glomerulonephritis (NGN) classification and confirm their sensitivity to the IgA nephropathy and non-IgA nephropathy groups. Results The UF-%sRBCs and Lysed-RBCs values differed significantly between the GN and NGN groups. The cut-off value of UF-%sRBCs was >56.8% (area under the curve, 0.649; sensitivity, 94.1%; specificity, 38.1%; positive predictive value, 68.3%; and negative predictive value, 82.1%), while that for Lysed-RBC was >4.6/μL (area under the curve, 0.708; sensitivity, 82.4%; specificity, 56.0%; positive predictive value, 72.6%; and negative predictive value, 69.1%). Moreover, there was no significant difference in the sensitivity between the IgA nephropathy and non-IgA nephropathy groups (87.1 and 89.8% for UF-%sRBCs and 83.9 and 78.4% for Lysed-RBCs, respectively). In the NGN group, the cut-off values showed low sensitivity (56.0% for UF-%sRBCs and 44.0% for Lysed-RBCs). Conclusions The RBC parameters of the UF-5000, specifically UF-%sRBCs and Lysed-RBCs, showed good cut-off values for the diagnosis of GN.

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Abstract 15233: The Lesion Length Gives a Better Effect on the Fractional Flow Reserve Than the Minimal Luminal Area in the Intermediate Coronary Artery Lesion

Circulation ◽

10.1161/circ.132.suppl_3.15233 ◽

2015 ◽

Vol 132 (suppl_3) ◽

Author(s):

Yoon Juneyoung ◽

Xiongjie Jin ◽

Kyong-Woo Seo ◽

Jin-sun Park ◽

Hyoung-Mo Yang ◽

...

Keyword(s):

Coronary Artery Disease ◽

Coronary Artery ◽

Positive Predictive Value ◽

Negative Predictive Value ◽

Predictive Value ◽

Area Under The Curve ◽

Lesion Length ◽

Visual Estimation ◽

Luminal Area ◽

Artery Disease

Introduction: The pressure gradient of the circulation fluid in a stenosis area depends on minimal luminal area (MLA) of the stenosis, lesion length (LL), and the fluid velocity. However, the correlation of the LL and the MLA; the cutoff values are uncertain. Hypothesis: LL and MLA differently influences the FFR. Methods: We studied 117 patients with intermediate coronary artery disease who underwent FFR and IVUS measurement out of 302 patients in FAVOR study. This study was a prospective, 1:1 randomized, open label multicenter trial to demonstrate the clinical outcomes between FFR and IVUS-guided PCI. Inclusion criteria were as follows: 1)Angina or documented silent ischemia 2) De novo intermediate coronary artery disease (30-70% diameter stenosis) by visual estimation, 3) Reference vessel diameter ≥ 3.0mm by visual estimation. We excluded left main disease, MI, EF< 40%, and graft vessel. There were no significant differences in baseline clinical characteristics. The mean values are the QCA (54.3±14.0 %), MLA (3.6±1.4 mm2) and LL (20.6±1.4mm), respectively. We were performed the path analysis using AMOS 18, and estimated the ROC curve in SPSS 18. Results: Standardized estimates were the LL -0.47,QCA -0.28 and MLA -0.21 (R2=0.594, p<0.000) in path analysis. The model is recursive and statistically significant. The FFR was ≤0.80 in 47 lesions (31%). The optimal LL for an FFR of ≤0.80 was 15.8mm (90% sensitivity, 50% specificity, 44% positive predictive value, 87% negative predictive value, area under the curve: 0.75, 95% CI: 0.66 to 0.85; p < 0.001) and MLA 3.9mm (sensitivity 86%, specificity 59%, 35% positive predictive value , 94% negative predictive value, area under the curve: 0.78, 95% CI: 0.67 to 0.85; p < 0.001) Conclusions: The lesion length influenced more the FFR than MLA. The lesion length ≥ 15.8mm and MLA ≤ 3.9mm are risk zones, which need to be confirm the functional status with FFR because of the low positive predictive value

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Immunocytochemistry Test of Protein BRAF Expression for Diagnosis of Well Differentiated Thyroid Carcinoma

Case Reports in Oncology ◽

10.1159/000495029 ◽

2018 ◽

Vol 11 (3) ◽

pp. 843-849 ◽

Cited By ~ 1

Author(s):

I. Wayan Sudarsa ◽

Elvis Deddy Kurniawan Pualillin ◽

Putu Anda Tusta Adiputra ◽

Ida Bagus Tjakra Wibawa Manuaba

Keyword(s):

Positive Predictive Value ◽

Thyroid Carcinoma ◽

Negative Predictive Value ◽

Diagnostic Test ◽

Predictive Value ◽

Preoperative Diagnosis ◽

Area Under The Curve ◽

Diagnostic Value ◽

Differentiated Thyroid Carcinoma ◽

Inclusion Criteria

Background: Thyroid carcinoma generally has a good prognosis. The main focus of current research on thyroid carcinoma is to increase the accuracy of preoperative diagnosis of thyroid nodules. When the result of fine needle aspiration biopsy (FNAB) is indeterminate, clinicians often have doubts in determining the surgical management. Objective: Protein BRAF expression analysis can help improve the accuracy of FNAB and optimize the management of differentiated thyroid carcinoma. Methods: This study is a diagnostic test performed from October 2016 at Sanglah General Hospital with 38 patients as subjects who fulfilled the inclusion criteria. Data is being presented in descriptive form before diagnostic test is done to determine sensitivity, specificity, positive predictive value, negative predictive value and the accuracy of immunocytochemistry test for BRAF on indeterminate thyroid nodule. Results: Thirty-eight samples met the inclusion criteria during the study period. Three samples were male (7.9%) and 35 samples (92.1%) were female. The mean age of the sample was 45.21 years (SD ±10.910 years) with ages ranging from 23 to 66 years. Of the 12 samples undergoing isthmolobectomy, 7 samples (58.4%) were determined to be malignant from histopathological results. The sensitivity value of BRAF immunocytochemistry test is 45.45% with a specificity value of 81.25%, a positive predictive value of 76.92%, a negative predictive value of 52% and an accuracy of 60.50%. Analysis of the receiver operator (ROC) curve shows the area under the curve (AUC) of 63.4% with a confidence interval of 45.5–81.2%. Conclusion: Immunocytochemistry BRAF test have a reliable diagnostic value and can be taken into consideration in the preoperative diagnosis of thyroid malignancies.

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Investigating the impact of disease and health record duration on the eMERGE algorithm for rheumatoid arthritis

Journal of the American Medical Informatics Association ◽

10.1093/jamia/ocaa014 ◽

2020 ◽

Vol 27 (4) ◽

pp. 601-605

Author(s):

Vanessa L Kronzer ◽

Liwei Wang ◽

Hongfang Liu ◽

John M Davis ◽

Jeffrey A Sparks ◽

...

Keyword(s):

Rheumatoid Arthritis ◽

Positive Predictive Value ◽

Negative Predictive Value ◽

Predictive Value ◽

Index Date ◽

Model Performance ◽

Area Under The Curve ◽

Population Based ◽

Health Record ◽

The Impact

Abstract Objective The study sought to determine the dependence of the Electronic Medical Records and Genomics (eMERGE) rheumatoid arthritis (RA) algorithm on both RA and electronic health record (EHR) duration. Materials and Methods Using a population-based cohort from the Mayo Clinic Biobank, we identified 497 patients with at least 1 RA diagnosis code. RA case status was manually determined using validated criteria for RA. RA duration was defined as time from first RA code to the index date of biobank enrollment. To simulate EHR duration, various years of EHR lookback were applied, starting at the index date and going backward. Model performance was determined by sensitivity, specificity, positive predictive value, negative predictive value, and area under the curve (AUC). Results The eMERGE algorithm performed well in this cohort, with overall sensitivity 53%, specificity 99%, positive predictive value 97%, negative predictive value 74%, and AUC 76%. Among patients with RA duration <2 years, sensitivity and AUC were only 9% and 54%, respectively, but increased to 71% and 85% among patients with RA duration >10 years. Longer EHR lookback also improved model performance up to a threshold of 10 years, in which sensitivity reached 52% and AUC 75%. However, optimal EHR lookback varied by RA duration; an EHR lookback of 3 years was best able to identify recently diagnosed RA cases. Conclusions eMERGE algorithm performance improves with longer RA duration as well as EHR duration up to 10 years, though shorter EHR lookback can improve identification of recently diagnosed RA cases.

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Waist-to-height ratio as index of cardiometabolic risk among the doctors

Bangabandhu Sheikh Mujib Medical University Journal ◽

10.3329/bsmmuj.v10i4.34760 ◽

2017 ◽

Vol 10 (4) ◽

pp. 251

Author(s):

Miliva Mozaffor ◽

Md. Matiur Rahman ◽

Mariya Tabassum ◽

Forhadul Hoque Mollah

Keyword(s):

Risk Factors ◽

Cardiovascular Disease ◽

Positive Predictive Value ◽

Negative Predictive Value ◽

Predictive Value ◽

Cardiometabolic Risk ◽

Area Under The Curve ◽

Age Group ◽

Height Ratio ◽

Waist To Height Ratio

<p>The aim of this study was to see the cardiometabolic risk among doctors using waist-to-height ratio index as tool. Cardiometabolic risk is an umbrella term that includes all the risk factors of diabetes and cardiovascular disease. The study was conducted among 195 doctors. According to waist-to-height ratio index 167 (85.6%) doctors had cardiometabolic risk. Waist-to-height ratio index was found good (area under the curve >0.5, sensitivity 88.1%, specificity 23.2%, positive predictive value 53.9%, and negative predictive value 66.7%) for their predictive value of cardiometabolic risk. Age grouping was done and found that no age group was free from cardiometabolic risk.</p>

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99mTc-red blood cells SPECT and planar scintigraphy in the diagnosis of hepatic hemangiomas

Acta chirurgica iugoslavica ◽

10.2298/aci0804023a ◽

2008 ◽

Vol 55 (4) ◽

pp. 23-26 ◽

Cited By ~ 2

Author(s):

M.V. Artiko ◽

P.D. Sobic-Saranovic ◽

S.M. Perisic-Savic ◽

V.M. Stojkovic ◽

B.I. Radoman ◽

...

Keyword(s):

Positive Predictive Value ◽

Blood Cell ◽

Red Blood Cells ◽

Negative Predictive Value ◽

Red Blood Cell ◽

Predictive Value ◽

Blood Cells ◽

Single Photon ◽

Photon Emission ◽

Planar Imaging

The aim of the study is the assessment of the value of SPECT (single photon emission computerized tomography) using 99mTc-labeled red blood cells in the detection of liver hemangioma, in comparison to planar imaging. With planar red blood cell scintigraphy, sensitivity of the method was 76%, specificity 98%, positive predictive value 98% and negative predictive value 79%. With SPECT, sensitivity of the method was 95%, specificity 98%, positive predictive value 98% and negative predictive value 94%. The smallest lesion detected by planar red blood cell scintigraphy was 1.2 cm, and with SPECT red blood cell scintigraphy 0.8 cm. The use of 99mTc-labeled red blood cells SPECT improved the sensitivity much more in smaller lesions (0.8 to 2 cm), than in bigger ones (2-5 cm). SPECT with radiolabeled red blood cells significantly improves the results of scintigraphic findings, especially in the small lesions.

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Added value of strain elastography in the characterisation of breast lesions: A prospective study

Ultrasound ◽

10.1177/1742271x20912762 ◽

2020 ◽

Vol 28 (3) ◽

pp. 164-173

Author(s):

Dimpi Sinha ◽

Sukrity Sharma ◽

Nischal G Kundaragi ◽

Sudhir Kumar Kale

Keyword(s):

Negative Predictive Value ◽

Predictive Value ◽

Histopathological Examination ◽

Area Under The Curve ◽

Added Value ◽

Breast Lesions ◽

Strain Elastography ◽

Combined Use ◽

Significant Difference ◽

Malignant Breast

Background Elastography is a new promising ultrasonographic technique which is used to differentiate benign and malignant breast lesions based on the stiffness of the lesion. Purpose To determine the role of strain elastography in characterisation of breast lesions and to compare the diagnostic performances of strain elastography and conventional ultrasound (US). Methods In total, 113 breast lesions in 100 women were prospectively evaluated by US and strain elastography followed by the histopathological examination. Elastography score based on the Tsukuba colour scale and strain ratio were determined for each lesion. The sensitivity, specificity, accuracy, positive predictive value and negative predictive value were calculated for each modality and the diagnostic performances were compared. The best cut-off point was calculated for each of the elastography parameters using the receiver operator curve analysis. Results Out of the 113 lesions, 40 were malignant (35.4%) and 73 were benign (64.6%). The area under the curve for elastography score showed significant difference with that of US: 0.98 versus 0.90 (Difference = 0.08, p =0.02). The elastography parameters were more specific as compared to US (ES-95 and SR-93% vs. 63%, p < 0.05) with a high negative predictive value. The combined use of elastography and US gave better results with 95% sensitivity, 94% specificity, 94% accuracy and negative predictive value reaching 97%. Conclusion Strain elastography is a useful adjunct to conventional ultrasonography. The combined use of strain elastography and ultrasound improves the characterisation of breast lesions and helps in down-staging of assigned BI-RADS category, thereby avoiding unnecessary biopsies. ES is the most useful elastography parameter to differentiate between benign and malignant breast lesions.

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Ruling out septic arthritis risk in a few minutes using mid-infrared spectroscopy in synovial fluids

Rheumatology ◽

10.1093/rheumatology/keaa373 ◽

2020 ◽

Cited By ~ 1

Author(s):

Jean-David Albert ◽

Maëna Le Corvec ◽

Olivia Berthoud ◽

Claire David ◽

Xavier Guennoc ◽

...

Keyword(s):

Positive Predictive Value ◽

Septic Arthritis ◽

Negative Predictive Value ◽

Risk Score ◽

Predictive Value ◽

Evanescent Wave ◽

Area Under The Curve ◽

Independent Set ◽

Mid Infrared ◽

Multicentre Cohort

Abstract Objectives The aim of this study was to show the usefulness of a mid-infrared fibre evanescent wave spectroscopy point of care device in the identification of septic arthritis patients in a multicentre cohort, and to apply this technology to clinical practice among physicians. Methods SF samples from 402 patients enrolled in a multicentre cohort were frozen for analysis by mid-infrared fibre evanescent wave spectroscopy. The calibration cohort was divided into two groups of patients (septic arthritis and non-septic arthritis) and relevant spectral variables were used for logistic regression model. Model performances were tested on an independent set of 86 freshly obtained SF samples from patients enrolled in a single-centre acute arthritis cohort and spectroscopic analyses performed at the patient’s bedside. Results The model set-up, using frozen–thawed SFs, provided good performances, with area under the curve 0.95, sensitivity 0.90, specificity 0.90, positive predictive value 0.41 and negative predictive value 0.99. Performances obtained in the validation cohort were area under the curve 0.90, sensitivity 0.92, specificity 0.81, positive predictive value 0.46 and negative predictive value 0.98. The septic arthritis probability has been translated into a risk score from 0 to 4 according to septic risk. For a risk score of 0, the probability of identifying a septic patient is very low (negative predictive value of 1), whereas a risk score of 4 indicates very high risk of septic arthritis (positive predictive value of 1). Conclusion Mid-infrared fibre evanescent wave spectroscopy could distinguish septic from non-septic synovial arthritis fluids with good performances, and showed particular usefulness in ruling out septic arthritis. Our data supports the possibility of technology transfer. Trial registration ClinicalTrials.gov, http://clinicaltrials.gov, NCT02860871.

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Correlation of Ultrasound and RIPASA Scoring System in the Diagnosis of Acute Appendicitis

International Journal of Medicine and Surgery ◽

10.15342/ijms.v5ir.193 ◽

2018 ◽

Vol 5 ◽

Author(s):

Anand Rai Bansal ◽

Suvendu Sekhar Jena ◽

Sanjeev Kumar

Keyword(s):

Acute Appendicitis ◽

Positive Predictive Value ◽

Negative Predictive Value ◽

Study Design ◽

Predictive Value ◽

Scoring System ◽

Negative Appendicectomy ◽

Low Sensitivity ◽

Sensitivity Specificity

Objective: Correlation of Ultrasound and RIPASA scoring system in the diagnosis of acute appendicitis. Study Design: 50 patients presenting to emergency underwent ultrasound and evaluation as per RIPASA scoring system followed by emergency appendicectomy. The sensitivity, specificity, positive and negative predictive value calculated for each goups. Results: The sensitivity, specificity, Positive Predictive Value and Negative Predictive Value for ultrasound were 75.51%, 100%, 100% and 7.69% respectively and that for RIPASA scoring system were 93.9%, 100% 100% and 25% respectively. The negative appendicectomy rate was 2%. Conclusion: RIPASA scoring system may be used for correctly diagnosing acute appendicitis but low sensitivity of ultrasound precludes its routine use and may be used as a complementary tool in diagnosing acute appendicitis. Keywards: Acute Appendictis, RIPASA, Ultrasound.

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Diagnostic Performance of a Smart Device With Photoplethysmography Technology for Atrial Fibrillation Detection: Pilot Study (Pre-mAFA II Registry) (Preprint)

10.2196/preprints.11437 ◽

2018 ◽

Author(s):

Yong-Yan Fan ◽

Yan-Guang Li ◽

Jian Li ◽

Wen-Kun Cheng ◽

Zhao-Liang Shan ◽

...

Keyword(s):

Atrial Fibrillation ◽

Positive Predictive Value ◽

Mobile Phone ◽

Negative Predictive Value ◽

Mobile Phones ◽

Predictive Value ◽

Normal Sinus Rhythm ◽

Smart Devices ◽

Smart Device ◽

Significant Difference

BACKGROUND Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia. The asymptomatic nature and paroxysmal frequency of AF lead to suboptimal early detection. A novel technology, photoplethysmography (PPG), has been developed for AF screening. However, there has been limited validation of mobile phone and smart band apps with PPG compared to 12-lead electrocardiograms (ECG). OBJECTIVE We investigated the feasibility and accuracy of a mobile phone and smart band for AF detection using pulse data measured by PPG. METHODS A total of 112 consecutive inpatients were recruited from the Chinese PLA General Hospital from March 15 to April 1, 2018. Participants were simultaneously tested with mobile phones (HUAWEI Mate 9, HUAWEI Honor 7X), smart bands (HUAWEI Band 2), and 12-lead ECG for 3 minutes. RESULTS In all, 108 patients (56 with normal sinus rhythm, 52 with persistent AF) were enrolled in the final analysis after excluding four patients with unclear cardiac rhythms. The corresponding sensitivity and specificity of the smart band PPG were 95.36% (95% CI 92.00%-97.40%) and 99.70% (95% CI 98.08%-99.98%), respectively. The positive predictive value of the smart band PPG was 99.63% (95% CI 97.61%-99.98%), the negative predictive value was 96.24% (95% CI 93.50%-97.90%), and the accuracy was 97.72% (95% CI 96.11%-98.70%). Moreover, the diagnostic sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of mobile phones with PPG for AF detection were over 94%. There was no significant difference after further statistical analysis of the results from the different smart devices compared with the gold-standard ECG (P>.99). CONCLUSIONS The algorithm based on mobile phones and smart bands with PPG demonstrated good performance in detecting AF and may represent a convenient tool for AF detection in at-risk individuals, allowing widespread screening of AF in the population. CLINICALTRIAL Chinese Clinical Trial Registry ChiCTR-OOC-17014138; http://www.chictr.org.cn/showproj.aspx?proj=24191 (Archived by WebCite at http://www.webcitation/76WXknvE6)

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Assessment of occlusive disease of lower extremity arteries on the basis of anatomic region: Value of 128-slice multidetector CT angiography in comparison with digital subtraction angiography

Journal of College of Medical Sciences-Nepal ◽

10.3126/jcmsn.v12i4.16416 ◽

2017 ◽

Vol 12 (4) ◽

pp. 179-186

Author(s):

Roshan Pangeni ◽

Ping Han ◽

Feng Pan ◽

Laxmi Pangeni Lamsal ◽

Zhen Zhang ◽

...

Keyword(s):

Positive Predictive Value ◽

Lower Extremity ◽

Digital Subtraction Angiography ◽

Negative Predictive Value ◽

Predictive Value ◽

Multidetector Ct ◽

Digital Subtraction ◽

Significant Difference ◽

Arterial Occlusive Diseases ◽

Sensitivity Specificity

Background & Objectives: The Previous studies of multidetector CT (MDCT) of the lower extremities for the detection of peripheral vascular disease showed high diagnostic accuracy but were performed with older generation systems. Our study aimed at assessing the diagnostic value of 128 MDCTA compared with that of digital subtraction angiography (DSA) in the grading of focal arterial disease of lower extremity arteries on the basis of anatomic regions.Materials & Methods: Forty-two patients with peripheral arterial occlusive diseases underwent both MDCTA and DSA. Lower extremity arteries depicted at MDCTA and DSA were graded separately for the degree of stenosis into 3 anatomic regions and 33 segments. Grading by MDCTA and DSA was done independently. Homogeneity analysis was used between MDCTA and DSA measurements in each patient. The sensitivity, specificity, positive predictive value and negative predictive value for detection of stenotic lesions were calculated for all anatomic regions, with findings at DSA used as the reference standard. Results: No statistically significant difference (P>.05) between DSA and MDCTA was present in Aorto-iliac and poplitiofemoral regions while there was statistically significant difference (P<.05) in the infrapopliteal region. The Sensitivity, Specificity, Positive Predictive Value and Negative Predictive Value based on a reading of MDCTA were 84.3%, 93.8%, 89.4% and 90.6% for aorto-iliac 86.6%, 94.7%, 84.1% and 94.7% for poplitiofemoral and 95.7%, 86.1%, 85.6% and 95.9% for infra-popliteal region respectively.Conclusion: MDCTA is excellent alternative in diagnosing lower extremity arterial occlusive diseases above the knee. DSA remains better on illustrating distal runoff vessels.

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