Accuracy of a point-of-care luteinizing hormone test for help in distinguishing between sexually intact and ovariectomized or castrated domestic cats

2017 ◽  
Vol 20 (10) ◽  
pp. 955-961 ◽  
Author(s):  
Matthew R Krecic ◽  
Brian A DiGangi ◽  
Brenda Griffin

Objectives The aim of this study was to determine the accuracy of a commercial luteinizing hormone (LH) test as an aid in distinguishing between sexually intact and ovariectomized or castrated domestic cats. Methods Convenience serum samples collected from sexually intact female and male cats (n = 67) undergoing elective sterilization surgery and archived sera from ovariectomized and castrated cats (n = 54) were tested for LH using a commercial diagnostic assay. Test results were compared with the known reproductive status of the cats. Additionally, sera from sexually intact (n = 54) and ovariectomized (n = 94) queens were collected at specific times of the year to evaluate possible seasonal effects on test results. Results Overall test sensitivity was 89.3% (95% confidence interval [CI] 82.3–94.2%), specificity was 92.6% (95% CI 87.1–96.2%) and accuracy was 91.1%. Analysis of results of female cats (n = 216) – sexually intact (n = 87) and ovariectomized (n = 129) – yielded a test sensitivity of 90.8% (95% CI 82.7–96.0%), a specificity of 92.3% (95% CI 86.2–96.2%) and accuracy of 91.7%. Analysis of the results of male cats (n = 53) – sexually intact (n = 19) and neutered (n = 34) – yielded test a sensitivity of 85.3% (95% CI 68.9–95.1%), a specificity of 94.7% (95% CI 74.0–99.9%) and accuracy of 88.7%. The sera of 10 intact queens unexpectedly yielded positive LH results; two of these cats were in estrus, based on visual inspection at the time of ovariohysterectomy. Test accuracy was 94.6% for those 148 samples collected at specific times of the year, with two samples each over three, 3 month periods yielding false-positive results. Conclusions and relevance The commercial point-of-care LH test is a useful adjunct to historical and physical examination findings for determination of reproductive status in domestic cats. Repeat testing 24 h later should be considered for those female cats with signs of estrus and initial positive test results.

2021 ◽  
Author(s):  
Alfred Kipyegon Keter ◽  
Lutgarde Lynen ◽  
Alastair van Heerden ◽  
Els Goetghebeur ◽  
Bart K.M. Jacobs

Abstract Background Lack of a perfect reference standard for pulmonary tuberculosis (PTB) diagnosis complicates assessment of accuracy of new diagnostic tests. Alternative strategies such as discrepant resolution and use of composite reference standards may lead to incorrect inferences on disease prevalence and diagnostic test sensitivity and specificity. Latent class analysis (LCA), a statistical method for analyzing diagnostic test results in the absence of a gold standard, allows correct estimation under strict assumptions. The model assumes that the diagnostic tests are independent conditional on the true disease status and that the diagnostic test sensitivity and specificity remain constant across subpopulations. These assumptions are violated when a factor such as severe comorbidity affects the prevalence and/or alters the diagnostic test performance. We aim to provide guidance on correct estimation of the prevalence and diagnostic test accuracy based on LCA when a known factor induces dependence among the diagnostic tests. If unaccounted for, this dependence may lead to misleading inferences. Methods Through likelihood evaluation and simulation we examined implications of likely model violations on estimation of prevalence, sensitivity and specificity among passive case-finding presumptive PTB patients with or without HIV. We generated independent results for five diagnostic tests conditional on PTB and HIV. We performed Bayesian LCA, separately for five and three diagnostic tests using four working models with or without constant PTB prevalence and diagnostic test accuracy across HIV subpopulations. Results In evaluating three diagnostic tests, the models accounting for heterogeneity in diagnostic accuracy produced consistent estimates while the models ignoring it produced biased estimates. The model ignoring heterogeneity in PTB prevalence is less problematic. When evaluating five diagnostic tests, the models were robust to violation of the assumptions. Conclusions Well-chosen covariate-specific adaptations of the model can avoid bias implied by recognized heterogeneity in PTB patient populations generating otherwise dependent test results in LCA.


Author(s):  
Andrew J. Larner

<b><i>Background/Aims:</i></b> Since screening and diagnostic tests for dementia do not have perfect accuracy, &#x3e;1 test is often administered when assessing patients with cognitive complaints. Use of both patient performance tests and informant questionnaires has been recommended. Combination of individual test results may be based on methods originally defined by Thomas Bayes (revision or updating of pretest probabilities to post-test probabilities given the test results) and by George Boole (application of associative “AND” or “OR” operator). This study sought to apply these methods in clinical practice. <b><i>Methods:</i></b> Using the dataset of a pragmatic test accuracy study of the Six-Item Cognitive Impairment Test (6CIT) and informant Ascertain Dementia 8 (AD8), post-test probabilities for the combination were calculated using Bayes’ formula and compared to Boolean “AND” combination. Combined test sensitivity and specificity was calculated using either Boolean “AND” or “OR” operator and compared to results using equations based on individual test sensitivity and specificity. <b><i>Results:</i></b> Both Bayesian and Boolean methods produced similar improvements from pretest probability (0.288) to combined post-test probability for dementia (≈0.5). Likewise, the 2 different methods for calculating combined sensitivities and specificities gave similar results, with, as anticipated, the “AND” combination improving overall specificity (to ≈0.65) whereas the “OR” combination improved sensitivity (to ≈1.00). <b><i>Conclusion:</i></b> Combination of individual screening test results using Bayesian and Boolean methods is relatively straightforward and may add to clinicians’ intuitive judgements when combining test results.


2020 ◽  
Author(s):  
Samuel G. Urwin ◽  
B. Clare Lendrem ◽  
Jana Suklan ◽  
Kile Green ◽  
Sara Graziadio ◽  
...  

AbstractBackgroundPoint-of-care (POC) tests for COVID-19 could relieve pressure on isolation resource, support infection prevention and control, and help commence more timely and appropriate treatment. We aimed to undertake a systematic review and pooled diagnostic test accuracy study of available individual patient data (IPD) to evaluate the diagnostic accuracy of a commercial POC test (FebriDx) in patients with suspected COVID-19.MethodsA literature search was performed on the 1st of October 2020 to identify studies reporting diagnostic accuracy statistics of the FebriDx POC test versus real time reverse transcriptase polymerase chain reaction (RT-PCR) testing for SARS-CoV-2. Studies were screened for risk of bias. IPD were sought from studies meeting the inclusion and exclusion criteria. Logistic regression was performed to investigate the study effect on the outcome of the RT-PCR test result in order to determine whether it was appropriate to pool results. Diagnostic accuracy statistics were calculated with 95% confidence intervals (CIs).Results15 studies were screened, and we included two published studies with 527 hospitalised patients. 523 patients had valid FebriDx results for Myxovirus resistance protein A (MxA), an antiviral host response protein. The FebriDx test produced a pooled sensitivity of 0.920 (95% CI: 0.875-0.950) and specificity of 0.862 (0.819-0.896) compared with RT-PCR, where there was an estimated true COVID-19 prevalence of 0.405 (0.364-0.448) and overall FebriDx test yield was 99.2%. Patients were tested at a median of 4 days [interquartile range: 2:9] after symptom onset. No differences were found in a sub-group analysis of time tested since the onset of symptoms.ConclusionsBased on a large sample of patients from two studies during the first wave of the SARS-CoV-2 pandemic, the FebriDx POC test had reasonable diagnostic accuracy in a hospital setting with high COVID-19 prevalence, out of influenza season. More research is required to determine how FebriDx would perform in other healthcare settings with higher or lower COVID-19 prevalence, different patient populations, or when other respiratory infections are in circulation.Trial registrationThis work was based on a pooled analysis of anonymised data from two previous studies; the CoV-19POC study, described by Clark et al. (9), the “Southampton study” [ISRCTN:14966673, date registered: 18/03/2020]; and a study described by Karim et al. (13) the “Kettering study”.Lay summaryTests to diagnose COVID-19 are crucial to help control the spread of the disease and to guide treatment. Over the last few months, tests have been developed that can detect the SARS-CoV-2 virus which causes COVID-19. These tests use complex machines in pathology laboratories accepting samples from large geographical areas. Sometimes it takes days for test results to come back. So, to reduce the wait for results, new portable tests are being developed. These point-of-care (POC) tests are designed to work close to where patients require assessment and care such as hospital emergency departments, GP surgeries or care homes. For these new POC tests to be useful, they should ideally be as good as standard laboratory tests so patients get their result quickly and can benefit from the best, safest care.In this study we looked at published research into a new test, FebriDx, which can detect the presence of any viral infection, including infections due to the SARS-CoV-2 virus, as well as bacterial infections which can have similar symptoms. The FebriDx result was compared with that obtained on the same patient’s throat and nose swab and using the standard COVID-19 viral laboratory test. We were able to analyse data from two studies with a total of 523 adult patients who were receiving emergency hospital care with symptoms of COVID-19 during the early stage of the UK pandemic. Almost half of the patients were diagnosed as positive for SARS-CoV-2 virus using standard laboratory COVID-19 viral tests.Our analysis demonstrated that the FebriDx POC test agreed 94 out of 100 times with the standard laboratory test results when FebriDx diagnosed the patient as free from COVID-19. However, FebriDx agreed only 82 out of 100 times with the standard laboratory test when FebriDx indicated that the patient had a COVID-19 infection. These differences have important implications for how these tests could be used. As there were far fewer FebriDx false results when the results of the FebriDx test were negative (6 out of 100) than when the results of the FebriDx test were positive (18 out of 100), we can have more confidence in a negative test result using FebriDx at the POC than a positive FebriDx result.Overall, we have shown that the FebriDx POC test performed quite well during the first wave of the COVID-19 pandemic when compared with laboratory tests, especially when the POC test returned a negative test. For the future, this means that the FebriDx POC test might be helpful in making a rapid clinical decision whether to isolate a patient with COVID-19-like symptoms arriving in a busy emergency department. However, our results indicate it would not completely replace the need to conduct a confirmatory laboratory test in certain cases.There are limitations to our findings. For example, we do not know if FebriDx will work in a similar way with patients in different settings such as in the community or care homes. Similarly, we do not know whether other viral and bacterial infections which cause similar COVID-19 symptoms, and are more common in the autumn and winter months, could influence the FebriDx test accuracy.


Viruses ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 1397
Author(s):  
Michael Sieg ◽  
Irene Sacristán ◽  
Johannes Busch ◽  
Karen A. Terio ◽  
Javier Cabello ◽  
...  

The family of paramyxoviruses has received growing attention as several new species have been identified recently, notably two different clusters in domestic cats, designated as feline morbillivirus (FeMV) and feline paramyxovirus (FPaV). Their phylogenetic origin and whether wild felids also harbor these viruses are currently unknown. Kidney samples from 35 guignas (Leopardus guigna), a wild felid from Chile, were investigated for paramyxoviruses using consensus-RT-PCR. In addition, thirteen serum samples of guignas were screened for the presence of FeMV-specific antibodies by an immunofluorescence assay (IFA). Viral RNA was detected in 31% of the kidney samples. Phylogenetic analyses revealed two well-supported clusters, related to isolates from domestic cats, rodents and bats. No significant histopathology changes were recorded in infected guignas. Serology identified two samples which were positive for FeMV-specific antibodies. Our study highlights the diversity of paramyxovirus infections in felids with special emphasis on guignas from Chile.


2017 ◽  
Vol 24 (1) ◽  
pp. 151-156 ◽  
Author(s):  
Yasushi Nagao ◽  
Rikuo Masuda ◽  
Akane Ando ◽  
Mutsumi Nonaka ◽  
Akiko Nishimura ◽  
...  

When patients on antiplatelet therapy (APT) require minor invasive surgery, APT is usually continued to limit the risk of thrombosis. However, the possibility of hemostatic difficulties necessitates the monitoring of platelet aggregation to prevent unexpected bleeding. We examined whether whole blood aggregometry as a point-of-care testing (POCT) could be useful as a tool for predicting hemostatic difficulties. Sixty-five patients receiving APT and 15 patients who were not receiving APT were enrolled in the present study; all patients were scheduled to undergo a tooth extraction. Whole blood samples were obtained and were examined using multiple electrode aggregometry. The aggregometry was performed using arachidonic acid (AA), adenosine diphosphate (ADP), and thrombin receptor activating peptide. Hemostatic difficulty was defined as a need for more than 10 minutes of compression to achieve hemostasis. The AA test results were significantly lower in patients treated with aspirin (control: 97.7 [29.0] U, aspirin: 14.5 [7.2] U, P < .001). The ADP test results were also significantly lower in patients treated with a P2Y12 inhibitor (control: 77.7 [21.7] U, P2Y12 inhibitor: 37.3 [20.4] U, P < .01). Six of the examined cases exhibited hemostatic difficulties. The cutoff values for the prediction of hemostatic difficulty were 16.5 U for the AA test (sensitivity, 0.833; specificity, 0.508) and 21 U for the ADP test (sensitivity, 0.847; specificity, 0.500). Our study showed that whole blood aggregometry was useful as a POCT for the prediction of hemostatic difficulties after tooth extraction in patients receiving APT.


1998 ◽  
Vol 36 (2) ◽  
pp. 358-361 ◽  
Author(s):  
Anne Ebel ◽  
Loïc Bachelart ◽  
Jean-Michel Alonso

The BioElisa Syphilis, a new competitive enzyme immunoassay (EIA) for Treponema pallidum whole antigen that uses specific human immunoglobulin G (IgG) antibodies as the competitor, was evaluated for potential use in screening for syphilis at various stages. The results obtained by this competitive EIA were compared with those obtained by the fluorescent treponemal antibody absorption (FTA-abs) test and the T. pallidum hemagglutination assay (TPHA). Serum samples from 434 patients with positive TPHA and FTA-abs test results, including patients with primary, latent, secondary, and tertiary syphilis and neurosyphilis, were investigated. Two samples tested negative by competitive EIA but were weakly reactive by the TPHA and the FTA-abs test. Sixteen serum samples from patients with clinically documented active syphilis, including several patients infected with human immunodeficiency virus, tested positive by the competitive EIA. There was a direct inverse correlation between EIA indices and titers in the TPHA and the FTA-abs test for all samples that tested positive. Specificity was assessed by testing 358 serum samples which tested negative for syphilis by TPHA and the FTA-abs test, including 100 serum samples from patients with documented infectious or autoimmune diseases. Only two serum samples gave a weakly positive EIA result. Thus, competitive EIA had a sensitivity of 99.5% and a specificity of 99.4% relative to the results of the FTA-abs test and TPHA. Our evaluation shows that BioElisa Syphilis is a sensitive, specific, and simple assay for screening for syphilis.


2017 ◽  
Author(s):  
Bo Tian ◽  
Peter Svedlindh ◽  
Mattias Strömberg ◽  
Erik Wetterskog

In this work, we demonstrate for the first time, a ferromagnetic resonance (FMR) based homogeneous and volumetric biosensor for magnetic label detection. Two different isothermal amplification methods, <i>i.e.</i>, rolling circle amplification (RCA) and loop-mediated isothermal amplification (LAMP) are adopted and combined with a standard electron paramagnetic resonance (EPR) spectrometer for FMR biosensing. For RCA-based FMR biosensor, binding of RCA products of a synthetic Vibrio cholerae target DNA sequence gives rise to the formation of aggregates of magnetic nanoparticles. Immobilization of nanoparticles within the aggregates leads to a decrease of the net anisotropy of the system and a concomitant increase of the resonance field. A limit of detection of 1 pM is obtained with an average coefficient of variation of 0.16%, which is superior to the performance of other reported RCA-based magnetic biosensors. For LAMP-based sensing, a synthetic Zika virus target oligonucleotide is amplified and detected in 20% serum samples. Immobilization of magnetic nanoparticles is induced by their co-precipitation with Mg<sub>2</sub>P<sub>2</sub>O<sub>7</sub> (a by-product of LAMP) and provides a detection sensitivity of 100 aM. The fast measurement, high sensitivity and miniaturization potential of the proposed FMR biosensing technology makes it a promising candidate for designing future point-of-care devices.<br>


Author(s):  
E.V. Molchanova ◽  
D.N. Luchinin ◽  
A.O. Negodenko ◽  
D.R. Prilepskaya ◽  
N.V. Boroday ◽  
...  

The paper presents data from the monitoring studies’ results of arbovirus infections transmitted by mosquitoes in the Volgograd region. West Nile virus antigen (WNV) in 9 samples, Tahyna virus in one sample, Batai virus in two samples were detected in the study of 110 samples of field material (blood-sucking mosquitoes) by ELISA test. Antibodies to WNV in 16.58 percent of the samples, to tick-borne encephalitis virus in 1.08 percent, to viruses of the California serogroup and Ukuniemi in 1.09 percent, to the virus Sindbis in 2.17 percent were detected as a result of the study of blood serum samples from donors in the Volgograd region. Thus, we obtained data on the probable presence of the Batai, Sindbis, Ukuniemi and Californian serogroup viruses along with the circulation of WNV on the territory of the Volgograd region.


Biosensors ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 157
Author(s):  
Bárbara V. M. Silva ◽  
Marli T. Cordeiro ◽  
Marco A. B. Rodrigues ◽  
Ernesto T. A. Marques ◽  
Rosa F. Dutra

Zika virus (ZIKV) is a mosquito-borne infection, predominant in tropical and subtropical regions causing international concern due to the ZIKV disease having been associated with congenital disabilities, especially microcephaly and other congenital abnormalities in the fetus and newborns. Development of strategies that minimize the devastating impact by monitoring and preventing ZIKV transmission through sexual intercourse, especially in pregnant women, since no vaccine is yet available for the prevention or treatment, is critically important. ZIKV infection is generally asymptomatic and cross-reactivity with dengue virus (DENV) is a global concern. An innovative screen-printed electrode (SPE) was developed for amperometric detection of the non-structural protein (NS2B) of ZIKV by exploring the intrinsic redox catalytic activity of Prussian blue (PB), incorporated into a carbon nanotube–polypyrrole composite. Thus, this immunosensor has the advantage of electrochemical detection without adding any redox-probe solution (probe-less detection), allowing a point-of-care diagnosis. It was responsive to serum samples of only ZIKV positive patients and non-responsive to negative ZIKV patients, even if the sample was DENV positive, indicating a possible differential diagnosis between them by NS2B. All samples used here were confirmed by CDC protocols, and immunosensor responses were also checked in the supernatant of C6/36 and in Vero cell cultures infected with ZIKV.


2021 ◽  
pp. 0272989X2110027
Author(s):  
Frederik van Delft ◽  
Mirte Muller ◽  
Rom Langerak ◽  
Hendrik Koffijberg ◽  
Valesca Retèl ◽  
...  

Background Although immunotherapy (IMT) provides significant survival benefits in selected patients, approximately 10% of patients experience (serious) immune-related adverse events (irAEs). The early detection of adverse events will prevent irAEs from progressing to severe stages, and routine testing for irAEs has become common practice. Because a positive test outcome might indicate a clinically manifesting irAE that requires treatment to (temporarily) discontinue, the occurrence of false-positive test outcomes is expected to negatively affect treatment outcomes. This study explores how the UPPAAL modeling environment can be used to assess the impact of test accuracy (i.e., test sensitivity and specificity), on the probability of patients entering palliative care within 11 IMT cycles. Methods A timed automata-based model was constructed using real-world data and expert consultation. Model calibration was performed using data from 248 non–small-cell lung cancer patients treated with nivolumab. A scenario analysis was performed to evaluate the effect of changes in test accuracy on the probability of patients transitioning to palliative care. Results The constructed model was used to estimate the cumulative probabilities for the patients’ transition to palliative care, which were found to match real-world clinical observations after model calibration. The scenario analysis showed that the specificity of laboratory tests for routine monitoring has a strong effect on the probability of patients transitioning to palliative care, whereas the effect of test sensitivity was limited. Conclusion We have obtained interesting insights by simulating a care pathway and disease progression using UPPAAL. The scenario analysis indicates that an increase in test specificity results in decreased discontinuation of treatment due to suspicion of irAEs, through a reduction of false-positive test outcomes.


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