Rapid and Accurate Diagnosis Based on Real-Time PCR Cycle Threshold Value for the Identification of &lt;i&gt;Campylobacter jejuni&lt;/i&gt;, &lt;i&gt;astA&lt;/i&gt; Gene-Positive &lt;i&gt;Escherichia coli&lt;/i&gt;, and &lt;i&gt;eae&lt;/i&gt; Gene-Positive &lt;i&gt;E. coli&lt;/i&gt;

Kawase, Jun; Asakura, Hiroshi; Kurosaki, Morito; Oshiro, Hitoshi; Etoh, Yoshiki; Ikeda, Tetsuya; Watahiki, Masanori; Kameyama, Mitsuhiro; Hayashi, Fumi; Kawakami, Yuta; Murakami, Yoshiko; Tsunomori, Yoshie

doi:10.7883/yoken.jjid.2017.151

Cited by 13 publications

(9 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Ct is defined as the cycle number when the sample fluorescence exceeds a chosen threshold above the calculated background fluorescence. 5 In other words, the lower the Ct value of a specific gene, the more the gene exists in the sample. However, the problem with a Ct-based diagnosis is that there is no absolute or constant Ct cut-off value, and Ct cut-off values are different for each diagnostic reagent even for the same gene.…”

Section: Notes On Interpreting Rrt-pcr Resultsmentioning

confidence: 99%

Interpreting the COVID-19 Test Results

Lee

Hur

Park

2020

Am J Phys Med Rehabil

View full text Add to dashboard Cite

Although various novel coronavirus disease 2019 (COVID-19) diagnostic methods are being used worldwide, the advantages and disadvantages of each testing method and the cautions needed when interpreting the results of each method are not well known to the physiatrists. For proper management and containment of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)transmission in the rehabilitation department of the hospital, physiatrists need to understand the advantages and disadvantages of the various diagnostic tests available and the cautions required in interpreting the results. Therefore, in this review, we discuss the various diagnostic methods for COVID-19 and the caution needed when interpreting the test results.

show abstract

Section: Notes On Interpreting Rrt-pcr Resultsmentioning

confidence: 99%

Interpreting the COVID-19 Test Results

Lee

Hur

Park

2020

Am J Phys Med Rehabil

View full text Add to dashboard Cite

show abstract

“…The cycle threshold value (Ct) derived from a sample is essentially a measure of the amplification required for the target viral gene to cross a threshold value and is inversely related to the viral load [17]. Kawase et al have defined Ct as the cycle number when the sample fluorescence exceeds a set above the calculated background fluorescence [18]. In fact, while many are familiar with the term "viral load" for the quantification of certain viruses, this value is most commonly not measured directly but interpolated from a standard curve generated using the identified Ct values found from samples of known concentration.…”

Section: Introductionmentioning

confidence: 99%

SARS-CoV-2 PCR cycle threshold at hospital admission associated with patient mortality

et al. 2020

View full text Add to dashboard Cite

Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cycle threshold (Ct) has been suggested as an approximate measure of initial viral burden. The utility of cycle threshold, at admission, as a predictor of disease severity has not been thoroughly investigated. Methods and findings We conducted a retrospective study of SARS-CoV-2 positive, hospitalized patients from 3/26/2020 to 8/5/2020 who had SARS-CoV-2 Ct data within 48 hours of admission (n = 1044). Only patients with complete survival data, discharged (n = 774) or died in hospital (n = 270), were included in our analysis. Laboratory, demographic, and clinical data were extracted from electronic medical records. Multivariable logistic regression was applied to examine the relationship of patient mortality with Ct values while adjusting for established risk factors. Ct was analyzed as continuous variable and subdivided into quartiles to better illustrate its relationship with outcome. Cumulative incidence curves were created to assess whether there was a survival difference in the setting of the competing risks of death versus patient discharge. Mean Ct at admission was higher for survivors (28.6, SD = 5.8) compared to non-survivors (24.8, SD = 6.0, P<0.001). In-hospital mortality significantly differed (p<0.05) by Ct quartile. After adjusting for age, gender, BMI, hypertension and diabetes, increased cycle threshold was associated with decreased odds of in-hospital mortality (0.91, CI 0.89–0.94, p<0.001). Compared to the 4th Quartile, patients with Ct values in the 1st Quartile (Ct <22.9) and 2nd Quartile (Ct 23.0–27.3) had an adjusted odds ratio of in-hospital mortality of 3.8 and 2.6 respectively (p<0.001). The discriminative ability of Ct to predict inpatient mortality was found to be limited, possessing an area under the curve (AUC) of 0.68 (CI 0.63–0.71). Conclusion SARS-CoV-2 Ct was found to be an independent predictor of patient mortality. However, further study is needed on how to best clinically utilize such information given the result variation due to specimen quality, phase of disease, and the limited discriminative ability of the test.

show abstract

“…If the RT-PCR test result is positive, then it allows the clinicians and public health professionals to isolate the patient as soon as possible and prevent spread of the viral infection. The Cycle threshold (Ct) value of a RT-PCR is the number of cycles at which fluorescence of the PCR product is detectable over the background signal [6]. The Ct values are inversely proportional to the amount of genetic material (RNA) in the sample which means lower Ct values may be associated with more viral load and worse course of illness and outcomes and vice versa.…”

Section: Cycle Threshold In Rt-pcr: a Relevance To Low-middle -Income Countriesmentioning

confidence: 99%

Cycle Threshold in RT-PCR: A Relevance to Low-Middle -Income Countries

Chandra¹,

Chandra²,

Sharma

2020

BJSTR

View full text Add to dashboard Cite

With the result of the various studies on the COVID issue, our view shows that determination of Cycle Threshold (Ct) value will help in managing COVID positive cases efficiently and economically during this time of high spread of pandemic. At large, COVID has created chaos and health sector facing extreme shortages of resources and not enough infrastructures to keep COVID patients in country like Nepal and other LMICs. Hence segregating COVID positive cases according to the viral load i.e.; Ct value will help us managing the cases without much stress on the nearly flooded hospitals and we can even easily monitor the cases along with their contacts.

show abstract

Rapid and Accurate Diagnosis Based on Real-Time PCR Cycle Threshold Value for the Identification of <i>Campylobacter jejuni</i>, <i>astA</i> Gene-Positive <i>Escherichia coli</i>, and <i>eae</i> Gene-Positive <i>E. coli</i>

Cited by 13 publications

References 25 publications

Interpreting the COVID-19 Test Results

Interpreting the COVID-19 Test Results

SARS-CoV-2 PCR cycle threshold at hospital admission associated with patient mortality

Cycle Threshold in RT-PCR: A Relevance to Low-Middle -Income Countries

Contact Info

Product

Resources

About