scholarly journals Diagnostic accuracy of a urine dipstick for detecting albuminuria in hypertensive patients

F1000Research ◽  
2021 ◽  
Vol 9 ◽  
pp. 1244
Author(s):  
Phornwipa Panta ◽  
Win Techakehakij
Keyword(s):  
Diagnostic Accuracy ◽  
Predictive Value ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Hypertensive Patients ◽  
Spot Urine ◽  
Urine Dipstick ◽  
Urine Albumin ◽  
Low Sensitivity ◽  
Sensitivity Specificity

Background: Screening for albuminuria is generally recommended among patients with hypertension. While the urine dipstick is commonly used for screening urine albumin, there is little evidence about its diagnostic accuracy among these patients in Thailand. This study aimed to assess the diagnostic accuracy of a dipstick in Thai hypertensive patients for detecting albuminuria. Methods: This study collected the data of 3,067 hypertensive patients, with the results of urine dipstick and urine albumin-to-creatinine ratio (ACR) from random single spot urine being examined in the same day at least once, at Lampang Hospital, Thailand, during 2018. For ACR, a reference standard of ≥ 30 mg/g was applied to indicate the presence of albuminuria. Results: The sensitivity, specificity, positive predictive value (PPV), and negative predictive value of the trace result from dipsticks were 53.6%, 94.5%, 86.5%, and 75.5%, respectively. The area under the receiver operating characteristic curve of the dipstick was 0.748. Conclusion: Using the dipstick for screening albuminuria among hypertensive patients should not be recommended for mass screening due to its low sensitivity. In response to high PPV, a trace threshold of the dipstick may be used to indicate presence of albuminuria.

scholarly journals Diagnostic accuracy of a urine dipstick for detecting albuminuria in hypertensive patients

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 1244
Author(s):  
Phornwipa Panta ◽  
Win Techakehakij
Keyword(s):  
Diagnostic Accuracy ◽  
Predictive Value ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Hypertensive Patients ◽  
Spot Urine ◽  
Urine Dipstick ◽  
Urine Albumin ◽  
Low Sensitivity ◽  
Sensitivity Specificity

Background: Screening for albuminuria is generally recommended among patients with hypertension. While the urine dipstick is commonly used for screening urine albumin, there is little evidence about its diagnostic accuracy among these patients. This study aimed to assess the diagnostic accuracy of a dipstick in Thai hypertensive patients for detecting albuminuria. Methods: This study collected the data of 3,067 hypertensive patients, with the results of urine dipstick and urine albumin-to-creatinine ratio (ACR) from random single spot urine being examined in the same day at least once, at Lampang Hospital, Thailand, during 2018. For ACR, a reference standard of ≥ 30 mg/g was applied to indicate the presence of albuminuria. Results: The sensitivity, specificity, positive predictive value (PPV), and negative predictive value of the trace result from dipsticks were 53.6%, 94.5%, 86.5%, and 75.5%, respectively. The area under the receiver operating characteristic curve of the dipstick was 0.748. Conclusion: Using the dipstick for screening albuminuria among hypertensive patients should not be recommended due to its low sensitivity. In response to high PPV, a trace threshold of the dipstick may be used to indicate presence of albuminuria.

scholarly journals Diagnostic accuracy of a urine dipstick for detecting albuminuria in hypertensive patients

F1000Research ◽  
2021 ◽  
Vol 9 ◽  
pp. 1244
Author(s):  
Phornwipa Panta ◽  
Win Techakehakij
Keyword(s):  
Diagnostic Accuracy ◽  
Predictive Value ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Hypertensive Patients ◽  
Spot Urine ◽  
Urine Dipstick ◽  
Urine Albumin ◽  
Low Sensitivity ◽  
Sensitivity Specificity

Background: Screening for albuminuria is generally recommended among patients with hypertension. While the urine dipstick is commonly used for screening urine albumin, there is little evidence about its diagnostic accuracy among these patients in Thailand. This study aimed to assess the diagnostic accuracy of a dipstick in Thai hypertensive patients for detecting albuminuria. Methods: This study collected the data of 3,067 hypertensive patients, with the results of urine dipstick and urine albumin-to-creatinine ratio (ACR) from random single spot urine being examined in the same day at least once, at Lampang Hospital, Thailand, during 2018. For ACR, a reference standard of ≥ 30 mg/g was applied to indicate the presence of albuminuria. Results: The sensitivity, specificity, positive predictive value (PPV), and negative predictive value of the trace result from dipsticks were 53.6%, 94.5%, 86.5%, and 75.5%, respectively. The area under the receiver operating characteristic curve of the dipstick was 0.748. Conclusion: Using the dipstick for screening albuminuria among hypertensive patients should not be recommended for mass screening due to its low sensitivity. In response to high PPV, a trace threshold of the dipstick may be used to indicate presence of albuminuria.

Predicting 1p/19q codeletion status using diffusion-, susceptibility-, perfusion-weighted, and conventional MRI in IDH-mutant lower-grade gliomas

2020 ◽  
pp. 028418512097362
Author(s):  
Xiefeng Yang ◽  
Yu Lin ◽  
Zhen Xing ◽  
Dejun She ◽  
Yan Su ◽  
...  
Keyword(s):  
Predictive Value ◽  
Operating Characteristic ◽  
Cerebral Blood Volume ◽  
Characteristic Curve ◽  
Lower Grade ◽  
Dynamic Susceptibility ◽  
Dynamic Susceptibility Contrast ◽  
Conventional Mri ◽  
Susceptibility Contrast ◽  
Sensitivity Specificity

Background Isocitrate dehydrogenase (IDH)-mutant lower-grade gliomas (LGGs) are further classified into two classes: with and without 1p/19q codeletion. IDH-mutant and 1p/19q codeleted LGGs have better prognosis compared with IDH-mutant and 1p/19q non-codeleted LGGs. Purpose To evaluate conventional magnetic resonance imaging (cMRI), diffusion-weighted imaging (DWI), susceptibility-weighted imaging (SWI), and dynamic susceptibility contrast perfusion-weighted imaging (DSC-PWI) for predicting 1p/19q codeletion status of IDH-mutant LGGs. Material and Methods We retrospectively reviewed cMRI, DWI, SWI, and DSC-PWI in 142 cases of IDH mutant LGGs with known 1p/19q codeletion status. Features of cMRI, relative ADC (rADC), intratumoral susceptibility signals (ITSSs), and the value of relative cerebral blood volume (rCBV) were compared between IDH-mutant LGGs with and without 1p/19q codeletion. Receiver operating characteristic curve and logistic regression were used to determine diagnostic performances. Results IDH-mutant and 1p/19q non-codeleted LGGs tended to present with the T2/FLAIR mismatch sign and distinct borders ( P < 0.001 and P = 0.038, respectively). Parameters of rADC, ITSSs, and rCBVmax were significantly different between the 1p/19q codeleted and 1p/19q non-codeleted groups ( P < 0.001, P = 0.017, and P < 0.001, respectively). A combination of cMRI, SWI, DWI, and DSC-PWI for predicting 1p/19q codeletion status in IDH-mutant LGGs resulted in a sensitivity, specificity, positive predictive value, negative predictive value, and an AUC of 80.36%, 78.57%, 83.30%, 75.00%, and 0.88, respectively. Conclusion 1p/19q codeletion status of IDH-mutant LGGs can be stratified using cMRI and advanced MRI techniques, including DWI, SWI, and DSC-PWI. A combination of cMRI, rADC, ITSSs, and rCBVmax may improve the diagnostic performance for predicting 1p/19q codeletion status.

scholarly journals Feasibility and Validity of Computed Tomography-Derived Fractional Flow Reserve in Patients With Severe Aortic Stenosis

2020 ◽  
Author(s):  
Michael Michail ◽  
Abdul-Rahman Ihdayhid ◽  
Andrea Comella ◽  
Udit Thakur ◽  
James D. Cameron ◽  
...  
Keyword(s):  
Aortic Stenosis ◽  
Diagnostic Accuracy ◽  
Operating Characteristic ◽  
Severe Aortic Stenosis ◽  
Characteristic Curve ◽  
Fractional Flow ◽  
Predictive Values ◽  
Flow Reserve ◽  
Artery Disease ◽  
Sensitivity Specificity

Background: Coronary artery disease is common in patients with severe aortic stenosis. Computed tomography-derived fractional flow reserve (CT-FFR) is a clinically used modality for assessing coronary artery disease, however, its use has not been validated in patients with severe aortic stenosis. This study assesses the safety, feasibility, and validity of CT-FFR in patients with severe aortic stenosis. Methods: Prospectively recruited patients underwent standard-protocol invasive FFR and coronary CT angiography (CTA). CTA images were analyzed by central core laboratory (HeartFlow, Inc) for independent evaluation of CT-FFR. CT-FFR data were compared with FFR (ischemia defined as FFR ≤0.80). Results: Forty-two patients (68 vessels) underwent FFR and CTA; 39 patients (92.3%) and 60 vessels (88.2%) had interpretable CTA enabling CT-FFR computation. Mean age was 76.2±6.7 years (71.8% male). No patients incurred complications relating to premedication, CTA, or FFR protocol. Mean FFR and CT-FFR were 0.83±0.10 and 0.77±0.14, respectively. CT calcium score was 1373.3±1392.9 Agatston units. On per vessel analysis, there was positive correlation between FFR and CT-FFR (Pearson correlation coefficient, R =0.64, P <0.0001). Sensitivity, specificity, positive predictive value, and negative predictive values were 73.9%, 78.4%, 68.0%, and 82.9%, respectively, with 76.7% diagnostic accuracy. The area under the receiver-operating characteristic curve for CT-FFR was 0.83 (0.72–0.93, P <0.0001), which was higher than that of CTA and quantitative coronary angiography ( P =0.01 and P <0.001, respectively). Bland-Altman plot showed mean bias between FFR and CT-FFR as 0.059±0.110. On per patient analysis, the sensitivity, specificity, positive predictive, and negative predictive values were 76.5%, 77.3%, 72.2%, and 81.0% with 76.9% diagnostic accuracy. The per patient area under the receiver-operating characteristic curve analysis was 0.81 (0.67–0.95, P <0.0001). Conclusions: CT-FFR is safe and feasible in patients with severe aortic stenosis. Our data suggests that the diagnostic accuracy of CT-FFR in this cohort potentially enables its use in clinical practice and provides the foundation for future research into the use of CT-FFR for coronary evaluation pre-aortic valve replacement.

scholarly journals Utility of Thrombin Time in Management of Patients with Green Pit Vipers Bite

2020 ◽  
Vol 8 ◽  
pp. 205031212096646
Author(s):  
Achara Tongpoo ◽  
Pimjai Niparuck ◽  
Charuwan Sriapha ◽  
Winai Wananukul ◽  
Satariya Trakulsrichai
Keyword(s):  
Positive Predictive Value ◽  
Predictive Value ◽  
Operating Characteristic ◽  
Fibrinogen Level ◽  
Characteristic Curve ◽  
International Normalized Ratio ◽  
Thrombin Time ◽  
Coagulation Tests ◽  
Sensitivity Specificity ◽  
Gold Standards

Objectives: GGreen pit vipers (GPV) envenomation causes consumptive coagulopathy mainly by thrombin-like enzymes. Fibrinogen levels are generally investigated to help evaluate systemic envenomation. However, tests of fibrinogen levels may not be available in every hospital. This study aimed to determine the sensitivity, specificity and accuracy for a range of various coagulation tests (20 minute whole blood clotting test (20WBCT), prothrombin time, international normalized ratio and thrombin time (TT)), comparing to the two gold standards performed in patients with GPV bite. Methods: This was the pilot study which we retrospectively reviewed fibrinogen level results including the hospital records of 24 GPV ( Trimeresurus albolabris or macrops) bite patients visiting Ramathibodi Hospital, Thailand during 2013–2017 with 65 results of fibrinogen levels. The fibrinogen levels <164 and <100 mg/dL were used as the standard cut-off points or gold standards as the abnormal low and critical levels, respectively. Results: Most were male. All had local effects. For fibrinogen levels <164 and <100 mg/dL, prolonged TT had the highest sensitivity of 57.1% and 82.4%; the negative predictive value of 74.5% and 93.6%; the accuracy of 81.0% and 92.1%; and the area under a receiver operating characteristic curve of 0.762 and 0.873, respectively. For fibrinogen levels <164, unclotted 20WBCT and prolonged TT had the highest specificity and positive predictive value of 100% all. For fibrinogen levels <100, unclotted 20WBCT had the highest specificity and positive predictive value of 100% both, while prolonged TT had the specificity and positive predictive value of 95.7% and 87.5%, respectively. One patient developed isolated thrombocytopenia without hypofibrinogenemia and coagulopathy. Conclusions: Among four coagulation tests, TT was the most sensitive and accurate test to indicate hypofibrinogenemia in GPV bite patients. In case of unavailable fibrinogen levels thrombin time might be investigated to help evaluate patients’ fibrinogen status. Isolated thrombocytopenia could occur in GPV envenomation.

Clinical Evaluation of a Monoclonal Antibody-based Enzyme Immunoassay for Fibrin Degradation Products in Patients with Clinically Suspected Pulmonary Embolism

2000 ◽  
Vol 83 (06) ◽  
pp. 892-895 ◽  
Author(s):  
Wouter de Monyé ◽  
Jeroen Lijmer ◽  
Willem Nieuwenhuizen ◽  
Harry Büller ◽  
Menno Huisman ◽  
...  
Keyword(s):  
Pulmonary Embolism ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Operating Characteristic ◽  
Degradation Products ◽  
Characteristic Curve ◽  
Suspected Pulmonary Embolism ◽  
Fibrin Degradation Products ◽  
Potential Clinical Utility ◽  
Sensitivity Specificity

SummaryWe prospectively evaluated the diagnostic accuracy of the Fibrinostika® FbDP assay in 304 consecutive patients with suspected pulmonary embolism and examined potentially useful cut-off points at which the disease can be excluded. The prevalence of pulmonary embolism was 31%. The assay generated an area under the Receiver Operating Characteristic curve of 0.79 (95% CI 0.73–0.84). A cut-off point of 0.05 µ,g/ml yielded a sensitivity, specificity, negative predictive value and an exclusion efficiency of 100% (95% CI 96–100), 5% (95% CI 2–9), 100% (95% CI 69–100) and 3% (95% CI 2–6), respectively. A clinically useful cut-off point seems to be 0.11 µ,g/ml which corresponded with a sensitivity, specificity, negative predictive value and an exclusion efficiency of 96% (95% CI 90–99), 27% (95% CI 24–28), 93% (95% CI 84–98) and 20% (95% CI 16–25), respectively. We conclude that the assay has potential clinical utility for the exclusion of pulmonary embolism, but it cannot be used as a sole test.

scholarly journals The value of S-Detect in improving the diagnostic performance of radiologists for the differential diagnosis of thyroid nodules

2020 ◽  
Vol 22 (4) ◽  
pp. 415
Author(s):  
Qi Wei ◽  
Shu-E Zeng ◽  
Li-Ping Wang ◽  
Yu-Jing Yan ◽  
Ting Wang ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Predictive Value ◽  
Diagnostic Performance ◽  
Thyroid Nodules ◽  
Characteristic Curve ◽  
Diagnostic Value ◽  
Ultrasound Images ◽  
Experienced Radiologist ◽  
Before And After ◽  
Sensitivity Specificity

Aims: To compare the diagnostic value of S-Detect (a computer aided diagnosis system using deep learning) in differentiating thyroid nodules in radiologists with different experience and to assess if S-Detect can improve the diagnostic performance of radiologists.Materials and methods: Between February 2018 and October 2019, 204 thyroid nodules in 181 patients were included. An experienced radiologist performed ultrasound for thyroid nodules and obtained the result of S-Detect. Four radiologists with different experience on thyroid ultrasound (Radiologist 1, 2, 3, 4 with 1, 4, 9, 20 years, respectively) analyzed the conventional ultrasound images of each thyroid nodule and made a diagnosis of “benign” or “malignant” based on the TI-RADS category. After referring to S-Detect results, they re-evaluated the diagnoses. The diagnostic performance of radiologists was analyzed before and after referring to the results of S-Detect.Results: The accuracy, sensitivity, specificity, positive predictive value and negative predictive value of S-Detect were 77.0, 91.3, 65.2, 68.3 and 90.1%, respectively. In comparison with the less experienced radiologists (radiologist 1 and 2), S-Detect had a higher area under receiver operating characteristic curve (AUC), accuracy and specificity (p <0.05). In comparison with the most experienced radiologist, the diagnostic accuracy and AUC were lower (p<0.05). In the less experienced radiologists, the diagnostic accuracy, specificity and AUC were significantly improved when combined with S-Detect (p<0.05), but not for experienced radiologists (radiologist 3 and 4) (p>0.05).Conclusions: S-Detect may become an additional diagnostic method for the diagnosis of thyroid nodules and improve the diagnostic performance of less experienced radiologists. 

scholarly journals Comparisons of deep learning algorithms for diagnosing bacterial keratitis via external eye photographs

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ming-Tse Kuo ◽  
Benny Wei-Yun Hsu ◽  
Yi-Sheng Lin ◽  
Po-Chiung Fang ◽  
Hun-Ju Yu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Diagnostic Accuracy ◽  
Rural Areas ◽  
Predictive Value ◽  
Rapid Development ◽  
Characteristic Curve ◽  
Bacterial Keratitis ◽  
Average Percentage ◽  
Sensitivity Specificity ◽  
Corneal Melting

AbstractBacterial keratitis (BK), a painful and fulminant bacterial infection of the cornea, is the most common type of vision-threatening infectious keratitis (IK). A rapid clinical diagnosis by an ophthalmologist may often help prevent BK patients from progression to corneal melting or even perforation, but many rural areas cannot afford an ophthalmologist. Thanks to the rapid development of deep learning (DL) algorithms, artificial intelligence via image could provide an immediate screening and recommendation for patients with red and painful eyes. Therefore, this study aims to elucidate the potentials of different DL algorithms for diagnosing BK via external eye photos. External eye photos of clinically suspected IK were consecutively collected from five referral centers. The candidate DL frameworks, including ResNet50, ResNeXt50, DenseNet121, SE-ResNet50, EfficientNets B0, B1, B2, and B3, were trained to recognize BK from the photo toward the target with the greatest area under the receiver operating characteristic curve (AUROC). Via five-cross validation, EfficientNet B3 showed the most excellent average AUROC, in which the average percentage of sensitivity, specificity, positive predictive value, and negative predictive value was 74, 64, 77, and 61. There was no statistical difference in diagnostic accuracy and AUROC between any two of these DL frameworks. The diagnostic accuracy of these models (ranged from 69 to 72%) is comparable to that of the ophthalmologist (66% to 74%). Therefore, all these models are promising tools for diagnosing BK in first-line medical care units without ophthalmologists.

scholarly journals A case-control clinical trial on the diagnostic performance for Alzheimer’s Disease of a deep learning-based classification system using brain magnetic resonance imaging

2021 ◽  
Author(s):  
Jong Bin Bae ◽  
Subin Lee ◽  
Hyunwoo Oh ◽  
Jinkyeong Sung ◽  
Dongsoo Lee ◽  
...  
Keyword(s):  
Predictive Value ◽  
Diagnostic Performance ◽  
Operating Characteristic ◽  
Control Clinical Trial ◽  
Characteristic Curve ◽  
Brain Mri ◽  
Case Control ◽  
Operating Characteristic Curve ◽  
Sensitivity Specificity ◽  
Normal Controls

Abstract Objective To investigate diagnostic performance of a deep learning-based classification system using structural brain MRI (DLCS) for Alzheimer’s disease (AD). Methods A single-center, case-control clinical trial was conducted. T1-weighted brain MRI scans of 188 patients with mild cognitive impairment or dementia due to AD and 162 cognitively normal controls were retrospectively collected. The patients were amyloid beta (Aβ)-positive, whereas the controls were Aβ-negative, on 18F-florbetaben positron emission tomography. Sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve were calculated to evaluate the performance of DLCS in the classification of Aβ-positive AD patients from Aβ-negative controls. Results The DLCS was excellent in classifying AD patients from normal controls; sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve for AD were 85.6% (95%CI, 79.8–90), 90.1% (95%CI, 84.5–94.2), 91.0% (95%CI, 86.3–94.1), 84.4% (95%CI, 79.2–88.5), and 0.937 (95%CI, 0.911–0.963), respectively. Conclusion The DLCS shows promise in clinical settings where it may improve early detection of AD in any individual who has undergone an MRI scan regardless of purpose. Trial registration: Korean Clinical Trials Registry, KCT0004758. Registered 21 February 2020, https://cris.nih.go.kr/cris/search/detailSearch.do/17665.

scholarly journals Comparison of RIPASA and Alvarado scoring in the diagnosis of acute appendicitis and validation of RIPASA scoring

2019 ◽  
Vol 6 (3) ◽  
pp. 935
Author(s):  
Jeevan G. Sanjive ◽  
Ravi H. Ramaiah
Keyword(s):  
Emergency Department ◽  
Acute Appendicitis ◽  
Diagnostic Accuracy ◽  
Predictive Value ◽  
Scoring System ◽  
Operating Characteristic ◽  
Surgical Emergencies ◽  
Negative Appendicectomy ◽  
Sensitivity Specificity ◽  
Higher Sensitivity

Background: Acute appendicitis is one of the most common surgical emergencies. A delay in performing an appendicectomy in order to improve the diagnostic accuracy increases the risk of appendicular perforation and sepsis. We prospectively compared and validated RIPASA to Alvarado scoring system when applied to an Indian population.Methods: This study included all the patients presented in General Surgery and The Emergency Department of Manipal Hospital, Bangalore diagnosed to have acute appendicitis from October 2014 to March 2016. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), diagnostic accuracy, predicted negative appendicectomy and receiver operating characteristic (ROC) curve of the RIPASA and Alvarado scoring system were derived using SPSS statistical software.Results: 75 patients were included in the study. Using the RIPASA scoring system, 97.1% of patients who actually had acute appendicitis were correctly diagnosed, compared to only 52.85% when using the Alvarado scoring system. The sensitivity and the specificity of the RIPASA scoring system is 97.14% and 60% respectively. The diagnostic accuracy of RIPASA scoring system is 94.67% and that of Alvarado scoring system is 52%. The results indicate that the RIPASA scoring system is a better diagnostic tool for the diagnosis of acute appendicitis (p<0.001).Conclusions: It is observed that the RIPASA scoring system has higher sensitivity and higher specificity compared to Alvarado scoring. It also has higher diagnostic accuracy and consequently, it has low negative appendicectomy rate. It can be concluded that the RIPASA scoring can be effectively conducted for the better evaluation of acute appendicitis.

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