scholarly journals A novel specific artificial intelligence-based method to identify COVID-19 cases using simple blood exams

Author(s):  
Felipe Soares ◽  
Aline Villavicencio ◽  
Flávio Sanson Fogliatto ◽  
Maria Helena Pitombeira Rigatto ◽  
Michel José Anzanello ◽  
...  

BackgroundThe SARS-CoV-2 virus responsible for COVID-19 poses a significant challenge to healthcare systems worldwide. Despite governmental initiatives aimed at containing the spread of the disease, several countries are experiencing unmanageable increases in the demand for ICU beds, medical equipment, and larger testing capacity. Efficient COVID-19 diagnosis enables healthcare systems to provide better care for patients while protecting caregivers from the disease. However, many countries are constrained by the limited amount of test kits available, lack of equipment and trained professionals. In the case of patients visiting emergency rooms (ERs) with a suspect of COVID-19, prompt diagnosis may improve the outcome and even provide information for efficient hospital management. In such a context, a quick, inexpensive and readily available test to perform an initial triage in ERs could help to smooth patient flow, provide better patient care, and reduce the backlog of exams.MethodsIn this Case-control quantitative study, we developed a strategy backed by artificial intelligence to perform an initial screening of suspect COVID-19 patients. We developed a machine learning classifier that takes widely available simple blood exams as input and classifies samples as likely to be positive (having SARS-CoV-2) or negative (not having SARS-CoV-2). Based on this initial classification, positive cases can be referred for further highly sensitive testing (e.g. CT scan, or specific antibodies). We used publicly available data from the Albert Einstein Hospital in Brazil from 5,644 patients. Focusing on simple blood exam figures as main predictors, a sample of 599 subjects that had the fewest missing values for 16 common exams were selected. From these 599 patients, 81 tested positive for SARS-CoV-2 (determined by RT-PCR). Based on the reduced dataset, we built an artificial intelligence classification framework, ER-CoV, aiming at determining if suspect patients arriving in ER were likely to be negative for SARS-CoV-2, that is, to predict if that suspect patient is negative for COVID-19. The primary goal of this investigation is to develop a classifier with high specificity and high negative predictive values, with reasonable sensitivity.FindingsWe identified that our AI framework achieved an average specificity of 85.98% [95%CI: 84.94 – 86.84] and negative predictive value (NPV) of 94.92% [95%CI: 94.37% – 95.37%]. Those values are completely aligned with our goal of providing an effective low-cost system to triage suspect patients in ERs. As for sensitivity, our model achieved an average of 70.25% [95%CI: 66.57% – 73.12%] and positive predictive value (PPV) of 44.96% [95%CI: 43.15% – 46.87%]. The area under the curve (AUC) of the receiver operating characteristic (ROC) was 86.78% [95%CI: 85.65% – 87.90%]. An error analysis (inspection of which patients were misclassified) identified that, on average, 28% of the false negative results would have been hospitalized anyway; thus the model is making mistakes for severe cases that would not be overlooked, partially mitigating the fact that the test is not highly sensitive. All code for our AI model, called ER-CoV is publicly available at https://github.com/soares-f/ER-CoV.InterpretationBased on the capacity of our model to accurately predict which cases are negative from suspect patients arriving in emergency rooms, we envision that this framework may play an important role in patient triage. Probably the most important outcome is related to testing availability, which at this point is extremely low in many countries. Considering the achieved specificity, we could reduce by at least 90% the number of SARS-CoV-2 tests performed in emergency rooms, with around 5% chance of getting a false negative. The second important outcome is related to patient management in hospitals. Patients predicted as positive by our framework could be immediately separated from other patients while waiting for the results of confirmatory tests. This could reduce the spread rate within hospitals since in many of them all suspect cases are kept in the same ward. In Brazil, where the data was collected, rate infection is starting to quickly spread and the lead time of a SARS-CoV-2 may be up to 2 weeks.FundingThe University of Sheffield provided financial support for the Ph.D. scholarship for Felipe SoaresProf. Fogliatto’s research is funded by CNPq [Grant # 303509/2015-5].Prof. Anzanello’s research is funded by CNPq [Grant # 306724/2018-9].

2021 ◽  
Author(s):  
Zhao-qian Wang ◽  
Hai-xia Zhang ◽  
Wei Wu ◽  
You-sheng Yuan ◽  
Ya-na Dou ◽  
...  

Abstract Purpose: To explore the diagnostic efficacy of CCTA + plain scan for ruptured plaques with optical coherence tomography (OCT) as the reference, and to preliminarily analyze the influential factors. Methods: Patients who underwent CCTA and OCT were retrospectively enrolled. Signs of ruptured plaque (plaque ulcer or intra-plaque dye penetration) and other plaque measurements on CCTA were recorded and compared with plain scans (calcification scoring scan) to differentiate calcifications from rupture signs. By OCT, presence of ruptured plaque was determined. Total 65 patients with 71 plaques were included. Results: There were 40 OCT-confirmed ruptured plaques in 38 patients and 31 OCT-confirmed non-ruptured plaques in 27 patients. CCTA+ plain scan identified 27 ruptured plaques in 27 patients and 28 non-ruptured plaques in 24 patients. With OCT as the gold standard, the per-patient sensitivity, specificity, positive and negative predictive values, and accuracy of CCTA + plain scan for diagnosing ruptured plaque were 71%, 89%, 90%, 69%, and 78%, and there was good agreement (Kappa=0.70) between CCTA + plain scan and OCT. Among 13 false negative ruptured plaques, 2 had calcifications close to the rupture, and the cavity depth in the remaining 11 was 0.46 ±0.17 mm, vs. 0.98±0.26 mm in 27 true positive ruptured plaques (P<0.01).Conclusion: CCTA + plain scan has high specificity and positive predictive value in diagnosing ruptured plaque with medium sensitivity and negative predictive value. The cavity depth of ruptured plaques and calcifications at the rupture site may be the main influential factors.


2016 ◽  
Vol 23 (3) ◽  
pp. 221-228 ◽  
Author(s):  
Cristina Legnani ◽  
Michela Cini ◽  
Mirella Frascaro ◽  
Giuseppina Rodorigo ◽  
Michelangelo Sartori ◽  
...  

In patients presenting non-high clinical pretest probability (PTP), a negative d-dimer can exclude venous thromboembolism without imaging tests. However, each d-dimer assay should be validated in prospective studies. We evaluated an automated d-dimer immunoassay using the Sclavo Auto d-dimer (Sclavo Diagnostics Int, Sovicille, Italy) provided by Dasit Diagnostica (Cornaredo, Milan, Italy). Three hundred two consecutive outpatients suspected of leg deep vein thrombosis (DVT) with non-high PTP were included. The Sclavo Auto d-dimer assay was evaluated on 2 analyzers (Sysmex CA-7000 and Sysmex CS-2100; Sysmex Corporation, Kobe, Japan, provided by Dasit). The cutoff value (200 ng/mL) was established a priori. Prevalence of DVT was 11.9%. Since no false-negative patients were detected, the sensitivity and negative predictive values (NPVs) were 100% (sensitivity = CA-7000: 100% [95% confidence interval, CI: 93.3-100], CS-2100: 100% [95% CI: 93.3-100]; NPV = CA-7000: 100% [95% CI: 97.9-100], CS-2100: 100% [95% CI: 98.0-100]). Specificity was 65.4% (95% CI: 59.4-71.1) and 69.2% (95% CI: 63.3-74.7) for CA-7000 and CS-2100, respectively. Specificity increased when a higher cutoff value (234 ng/mL) was used for patients aged ≥60 years without compromising the safety. Assay reproducibility was satisfactory at concentrations near the cutoff value (total coefficient of variations <10%). In conclusion, the Sclavo Auto d-dimer assay was accurate when used for DVT diagnostic workup in outpatients with non-high PTP. Based on its high sensitivity and NPV, it can be used as a stand-alone test in outpatients with non-high PTP. Given its high specificity, the number of patients in whom further imaging techniques can be avoided increased, improving the yield of the test.


2019 ◽  
Vol 2019 ◽  
pp. 1-6
Author(s):  
Xiaoqin Cao ◽  
Shuzheng Liu ◽  
Manman Jia ◽  
Hongmin Chen ◽  
Dongmei Zhao ◽  
...  

Context. Human papillomavirus (HPV) testing is widely used in cervical cancer screening in women; however, its efficiency in triaging women with atypical squamous cells of undetermined significance (ASC-US) needs to be validated. Objective. To evaluate the performance of HPV16/18 in the triage of women with ASC-US. Methods. Women presenting for routine cervical cancer screening had cervical specimens collected, with which both liquid-based cytology (LBC) and hrHPVs were examined; those with ASC-US cytology underwent colposcopy. HPV16/18 and 12 other types were tested with domestic hybridization capture and chemiluminescence signal amplification (DH3). Performance characteristics of HPV test (sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) for identification of cervical intraepithelium neoplasma (CIN) grade 2 or worse (CIN2+), and CIN grade 3 or worse (CIN3+)) were determined using standard statistical tests. Results. 317 women with ASC-US were eligible for the study. HrHPV prevalence was 15.77% (50/317); HPV16/18 prevalence was 3.61% (20/317). Sensitivity and specificity of HPV16/18 for detection of CIN 2+ were 64.71% and 97% and 64.29% and 96.37% for detection of CIN 3+, respectively. The positive predictive values (PPVs) and negative predictive values (NPVs) of HPV16/18 were 55.00% and 97.98% for CIN2+ and 45.00% and 98.32% for CIN3+, respectively. Conclusion. HPV16/18 can be considered as an effective method to triage women with ASC-US as its good clinical performance. Trial Registration. This trial is registered with Henan Cancer Hospital Medical Ethics Committee on July 5, 2016 (http://www.anti-cancer.com.cn), with registry no.: 2016037.


2021 ◽  
Vol 12 (4) ◽  
pp. 98-104
Author(s):  
Manisha Bajaj ◽  
Rajib Roy ◽  
Motiur Rahman ◽  
Joydeb Roychowdhury

Background: Uterine abnormalities, congenital or acquired are implicated as causal factor in 10%-15% of infertile couplesreporting for treatment. Hysteroscopy, hysterosalpingography (HSG), saline-infusion-sonography and USG are available for evaluation of uterine cavity. HSG helps in initial evaluation of a sub-fertile woman, but hysteroscopy is gold standardas itallows direct visualisation ofintrauterine pathology and treatment in same-setting, if required. Aims and Objective: To describe hysteroscopic findings of infertile patients and compare the observations with their respective HSG findings. Materials and Methods: It’s a prospective analysis of 105 women with infertility who attendedtertiary-care hospital during 18 monthsfulfilling pre-defined inclusion and exclusion criteria. All cases were evaluated with both HSG and hysteroscopy, observations were recorded and co-related with each other. Results: Among 105 cases, maximum (76.19%) were 25-35 years of age. The primary infertility accounted for 68.57% cases.Abnormal HSG findings observed in 19 cases (20%), most common being filling-defect.Hysteroscopy detected abnormalities in 39 cases (37.14%), commonest being endometrial polyp. Out of 39 cases of abnormal uterine cavity detected on hysteroscopy only 19 were picked-up by HSG, rest 20 cases failed to be identified. The strength of agreement between hysteroscopy and HSG calculated is moderate (Kappa=0.505). Conclusion: As HSG hadlow false positivity (03%), high positive-predictive-value (90.48%) and negative-predictive-value (76.19%) and high specificity (96.96%) it is still considered as a first-choice screening method of uterine cavity. However, high false-negative-value (51.28%)of HSG makes Hysteroscopy a better diagnostic test. HSG couldn’t differentiate endometrial polyp, adhesions and submucous fibroid, shown them as filling defect only.


2020 ◽  
Author(s):  
Tenzin Tenzin ◽  
Kelzang Lhamo ◽  
Purna B Rai ◽  
Dawa Tshering ◽  
Pema Jamtsho ◽  
...  

Abstract Background: Rabies kills approximately 59,000 people in the world each year worldwide. Rapid and accurate diagnosis of rabies is important for instituting rapid containment measures and for advising the exposed people for postexposure treatment. The application of a rapid diagnostic tests in the field can greatly enhance disease surveillance and diagnostic activities, especially in resource poor settings. In this study, a total of 179 brain tissue samples collected from different rabies suspect animal species (113 dogs, 50 cattle, 10 cats, 3 goats, 2 horses, and 1 bear) were selected and tested using both rapid immunochromatographic kit and the reference standard fluorescent antibody test (FAT). We evaluated the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of a rapid antigen detection test kit produced by BioNote, Inc. (Hwaseong-si, Korea) relative to a FAT for its fit-for-purpose for confirmation of clinical cases of rabies for early response and enhancing rabies surveillance. Results: Among 179 samples examined in this study, there was a concordance in results by the rapid test and FAT in 115 positive samples and 54 negative samples. Test results were discordant in 10 samples which were positive by FAT, but negative (false negative) by rapid kit. The rapid test kit showed a sensitivity of 92% (95% CI: 85.9 – 95.6) and specificity of 100% (95% CI: 93.4 – 100) using FAT as the reference standard. The positive and negative predictive values were found to be 100% (95% CI:96.7 – 100) and 84.4% (95% CI: 73.6 – 91.3), respectively. Overall, there was 94.4% (95% CI: 90 – 96.9) test agreement between rapid test and FAT (Kappa value = 0.874) with a positive percent agreement and negative percent agreement of 92 and 100%, respectively. Conclusions: Our finding demonstrated that the rapid test kit (BioNote) can be used for rabies surveillance and confirming clinical case of rabies in animals for making rapid decisions particularly controlling rabies outbreaks in resource poor settings.


2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Konuralp Yakar

Aim. To compare the clinical performance of the Spot Vision Screener used to detect amblyopia risk factors (ARFs) in children before and after induction of cycloplegia; the children were referred because they met the screening criteria of the American Association for Pediatric Ophthalmology and Strabismus (AAPOS). Methods. The Spot Vision Screener and a standard autorefractometer were used to examine 200 eyes of 100 children aged 3–10 years, before and after cycloplegia induction, in terms of ARFs. Sensitivity, specificity, and positive and negative predictive values for the detection of significant refractive errors were measured using the AAPOS referral criteria. It was explored that Spot Screener data were affected by cycloplegia. The extent of agreement between cycloplegic/noncycloplegic photoscreening data and cycloplegic autorefraction measurements was assessed using Wilcoxon and Spearman correlation analyses. Results. The Spot’s sensitivity was improved from 60.9% to 85.3% and specificity from 94.9% to 87.4% with cycloplegia compared to cycloplegic standard autorefractometer results. The positive predictive value of Spot was 75.7%, and the negative predictive value was 90.4% without cycloplegia. With cycloplegia, the positive predictive value of Spot was 63.6% and the negative predictive value was 95.8%. Conclusions. The Spot Screener afforded moderate sensitivity and high specificity prior to cycloplegia. The sensitivity and negative predictive value improved after induction of cycloplegia. Examiners should be aware of the effects of cycloplegia on their findings.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Xiaohong Pu ◽  
Hongwei Zheng ◽  
Xin Yang ◽  
Qing Ye ◽  
Zhiwen Fan ◽  
...  

Abstract Background Using fluorescence in situ hybridisation (FISH) to detect any gain of chromosomes 3, 7, or 17 and loss of the 9p21 locus has been proven to be sensitive in the diagnosis of pancreatobiliary tumors. However, both genetic and environmental factors contribute to the pathogenesis of pancreatobiliary tumors. Therefore, it is unknown whether this method is suitable for Chinese patients with pancreatobiliary tumors. This study aims to compare the sensitivity, specificity, predictive values and accuracy of cytology, ERCP/MRCP and FISH based on Chinese patients with pancreatobiliary tumors,and to analyze differences between brushing-based and formalin-fixed paraffin-embedded (FFPE)-based FISH. Methods A total of 66 brush cytology specimens obtained during ERCP were detected by FISH and cytology test respectively to compare the sensitivity, specificity, predictive values and accuracy. Besides, FFPE-based FISH was performed on 46 corresponding paraffin sections of pancreatobiliary tumors obtained by surgical resection. Results Our findings demonstrate that FISH greatly improves diagnostic sensitivity and negative predictive value compared to ERCP/MRCP and cytology without much reduction in specificity and positive predictive value. However, our results also indicate that FFPE-based FISH could not effectively identify the false-negative of brushing-based FISH. Conclusions We believe that FISH can effectively distinguish true positive and false positive results of cytological or radiological suspicions of malignancy. However, FFPE-based FISH still does not precisely recognize the false-negative of brushing-based FISH. Both cytology-based and PPFE-based FISH had limitation in some specimens.


ISRN Urology ◽  
2014 ◽  
Vol 2014 ◽  
pp. 1-4 ◽  
Author(s):  
Luigi Cormio ◽  
Clarbruno Vedruccio ◽  
Giorgio Leucci ◽  
Paolo Massenio ◽  
Giuseppe Di Fino ◽  
...  

Objectives. Normal and neoplastic human tissues have different electromagnetic properties. This study aimed to determine the diagnostic accuracy of noninvasive electromagnetic detection of bladder cancer (BC) by the tissue-resonance interaction method (TRIM-prob). Patients and Methods. Consecutive patients were referred for cystoscopy because of (i) microscopic or gross hematuria and/or irritative voiding symptoms and (ii) bladder ultrasounds and urinary cytology findings negative or just suspicious of malignancy. Patients were first submitted to TRIM-prob bladder scanning by a single investigator and then to cystoscopy by another investigator blind to TRIM-prob data. Results. In 125 evaluated patients cystoscopy was positive for BC in 47 and negative in the remaining 78; conversely, TRIM-prob bladder scanning was positive for BC in 53 and negative in 72. In particular, TRIM-prob scanning yielded 7 false positives and only one false negative; therefore, its overall sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy were 97.9%, 89.9%, 86.8%, 98.6%, and 93.6%, respectively. Conclusions. TRIM-prob bladder scanning was a simple and quite accurate method for non-invasive electromagnetic detection of BC. If the elevated positive and negative predictive values will be replicated in further well-designed studies, it could be used to screen asymptomatic patients at high risk of BC.


2021 ◽  
Author(s):  
Bokretsion Gidey ◽  
Desalegn Nega ◽  
Adugna Abera ◽  
Abnet Abebe ◽  
Sindew Mekasha ◽  
...  

Abstract Background: In Ethiopia, malaria cases are declining as a result of proven interventions and in 2017, the country launched a malaria elimination strategy in targeted settings. Accurate malaria diagnosis and prompt treatment are the key components of the strategy to prevent morbidity and stop the continuation of transmission. However, the quality of microscopic diagnosis in general is deteriorating as malaria burden declines. Therefore, this study was carried out to evaluate the competency of microscopists and the performance of health facilities on malaria microscopic diagnosis.Methods: A cross-sectional study was conducted from August 1st to September 30th, 2019 in nine regional states and one city administration. A standard checklist was used for on-site evaluation, archived patient slides were re-checked, and proficiency of microscopists was tested using WHO certified slides from the national slide bank at the Ethiopian Public Health Institute (EPHI). The strength of agreement, the sensitivity, the specificity, and the positive and negative predictive values were calculated.Results: In this study, 102 health facilities (84 health centers and 18 hospitals) were included; from which, 202 laboratory professionals participated. In slide re-checking, moderate agreement (Agreement: 76.0%; Kappa: 0.41) was observed between experts and microscopists on malaria detection in all health facilities. The sensitivity and specificity of routine slide reading and the re-checking results were 78.1% and 80.7%, respectively. Likewise, positive predictive value of 65.1% and negative predictive value of 88.8% were scored in the routine diagnosis. By panel testing, a substantial overall agreement (A: 91.8%; K: 0.79) was observed between microscopists and experts in detecting malaria parasites. The sensitivity and specificity in the detection of malaria parasites was 92.7% and 89.1%, respectively. Furthermore, in identifying species, a slight agreement (A: 57%; K: 0.18) was observed between microscopists and experts. Conclusion: The study found significant false positive and false negative results in routine microscopy on slide re-checking of Plasmodium parasites. Moreover, reduced grade in parasite species identification was reported on the panel tests. Therefore, implementing comprehensive malaria microscopy mentorship, in-service training, and supportive supervision are the key strategies to improve the overall performance of health facilities in malaria microscopy.


Author(s):  
C. S. Asha ◽  
B. R. Suchit Roy

<p class="abstract"><strong>Background:</strong> Neck swellings are a common clinical finding affecting all age groups. FNAC is a minimally invasive procedure helpful in the diagnosis of various neck swellings. The purpose of this study is to determine the accuracy of FNAC in the diagnosis of neck swellings by comparing it with the histopathology which is taken as the gold standard.</p><p class="abstract"><strong>Methods:</strong> A prospective study which included 90 patients who attended ENT and surgery departments of Government Medical College, Trivandrum with neck swellings from July 2006-2007. FNAC of the swelling was done and the FNAC results were compared with the histopathology results. The specificity, sensitivity, positive and negative predictive values and accuracy of FNAC were calculated.  </p><p class="abstract"><strong>Results:</strong> Of the 90 patients, thyroid swelling formed the major group followed by lymph node, salivary gland and miscellaneous swellings. Thyroid swellings had a female predominance while the other three groups namely lymph node, salivary gland and miscellaneous groups showed a male preponderance. When the neck swellings namely thyroid, salivary gland, lymph node and miscellaneous group were taken into consideration as a whole, the sensitivity of FNAC for detecting malignancy was 64.3%. The specificity, positive predictive value, negative predictive value and accuracy were 97.4%, 81.8%, 93.7% and 92% respectively.</p><p class="abstract"><strong>Conclusions:</strong> FNAC can be rated as a safe, simple, reliable, cost effective and rapid diagnostic tool with high specificity and sensitivity for the initial evaluation of neck swellings.</p>


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