Abstract
Purpose: The current explored the impact of heat inactivation of blood samples on the results of a particular clinical test and its potential application value during the SARS-CoV-2 pandemic. We have aimed at providing a reference for clinical testing methods during the pandemic.Methods: Blood samples were selected from our department's routine clinical examination between January 2021 and June 2021. The levels of these samples for quantitative detection of these indicators in each group (n = 90 cases/group) covered normal reference ranges and medically determined levels. For qualitative testing of the indicators, the specimens were additionally classified as negative, weakly positive, and positive (n = 20 cases/group). The specimens were then inactivated, and the differences in relevant indicators before and after inactivation were evaluated.Results: A statistically significant difference was evident between the levels of TSH, T3, FT4, FT3, AFP, NSE, CYFRA211, IRI, IL-1β, IL-6, IL-8, IL-10, IL-2R, and TNF-α in the non-inactivated group 1 and the inactivated group 1 (P < 0.05). Among them, there was a strong correlation between TSH, T3, FT4, FT3, CYFRA211, IRI, IL-1β, IL-6, IL-8, and IL-2R levels in the two groups (P < 0.05), however, there was no correlation between AFP (P = 0.256) and NSE (P = 0.352) levels between the two groups (P > 0.05). The detected values of low-level AFP (<4 ng/mL), IL-10, and TNF-α after inactivation were all lower than the detection limit. There was not any statistically significant difference in the levels of tumor markers, such as CEA, CA125, CA724, CA199, CA153, and the quantitative levels of T4, Vit. D, HCG, CPS, and five items of hepatitis B virus (P > 0.05). The positive rate of anti-nuclear antibodies after inactivation was not statistically different from the ones observed before inactivation (P > 0.05). Upon correction by the regression equation, the observed levels of TSH, T3, FT4, FT3, CYFRA211, IRI, IL-1β, IL-6, IL-8, and IL-2R were not significantly different from those before inactivation (P > 0.05).Conclusion: The heat inactivation of blood samples had different various effects on different test indicators, and some indicators could be corrected by employing regression equations. This detection method could potentially be employed during the SARS-CoV-2 pandemic, thereby effectively preventing iatrogenic infections.
Highlights
The Severe Acute Respiratory Syndrome-related Coronavirus 2 (SARS-CoV-2) is the B subgroup of Betacoronavirus and is essentially an enveloped single-stranded positive-stranded RNA virus (GenBank No.MN908947)
The blood specimens were obtained from routine clinical examination specimens in our department
If the interior quality control (IQC) fails or there is a significant deviation from the mean value of the IQC, the quality control products were tested continuously at two concentration levels for 20 times in accordance with the requirements of NCCLS EP15-A, and the intra-batch imprecision and total precision of the two concentrations were calculated, respectively
Summary
The Severe Acute Respiratory Syndrome-related Coronavirus 2 (SARS-CoV-2) is the B subgroup of Betacoronavirus and is essentially an enveloped single-stranded positive-stranded RNA virus (GenBank No.MN908947). It possesses a helical structure and is highly infectious [1,2,3]. As a potential solution to this problem, if the patient’s blood sample is centrifuged and inactivated in the BSL-3 laboratory before testing, the inactivated blood or serum sample can be tested in a routine laboratory. We investigated whether the inactivation treatment at 56◦C for 30 min had any influence on the evaluation of relevant blood samples
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