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Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Int+J+Clin+Pract 2021 ; 75 (11): e14624 Nephropedia Template TP
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Assessment of severity and mortality of COVID-19 with anti-A1 and anti-B IgM isohaemagglutinins, a reflection of the innate immune status #MMPMID34251730
Ozcelik F; Tanoglu A; Guven BB; Keskin U; Kaplan M
Int J Clin Pract 2021[Nov]; 75 (11): e14624 PMID34251730show ga
AIMS: The relationship between the innate immune system that creates the polysaccharide antibody response and COVID-19 is not fully understood. In this study, it was aimed to determine the predictive values of isohaemagglutinins in COVID-19 severity/mortality. METHODS: Approximately 15 440 patients diagnosed with COVID-19 were examined, and a total of 286 patients with anti-B and anti-A1 IgM isohaemagglutinins test results were randomly enrolled in the study. These patients were stratified into two groups according to anti-A1 (n: 138 blood type B or O) and anti-B (n: 148 blood type A) IgM isohaemagglutinins. Anti-A1 or/and anti-B IgM, biochemical parameters, symptoms, chronic diseases, hospitalisation status, intubation status, admission to intensive care unit (ICU) and exitus status were recorded and evaluated for all patients. RESULTS: Anti-A1 IgM and anti-B IgM were significantly lower in ICU patients (7.5 +/- 9.9 vs 18.0 +/- 20.4 and 5.5 +/- 6.3 vs 19.3 +/- 33.6 titres, respectively; P < .01) and in exitus patients (3.8 +/- 3.6 vs 16.7 +/- 18.7 and 3.5 +/- 4.7 vs 16.9 +/- 29.6 titres respectively; P < .01). In the ROC analysis performed to differentiate between exitus and discharge within groups, the sensitivity of anti-B IgM and anti-A1 IgM at cut-off =4 was 88.9% and 79.6%, specificity 66.0% and 73.4%, and AUC 0.831 and 0.861, respectively (P < .01). Anti-A1 IgM decreased the mortality risk 0.811 times per unit while anti-B IgM decreased 0.717 times (P < .01). CONCLUSION: Anti-B and anti-A1 isohaemagglutinins, which are an expression of the innate immune system, can be used to predict the severity and mortality of COVID-19 disease.