Assessment of severity and mortality of COVID-19 with anti-A1 and anti-B IgM isohaemagglutinins, a reflection of the innate immune status

Clinical comparison of omicron and delta variants in older COVID-19 patients and the effect of vaccination status

Aim: It was aimed to investigate the clinical course of the Omicron vand Delta variant among the SARS-CoV-2 vaccinated and unvaccinated COVID-19 patients over 65 years old and to compare their effects on patients. Material and Method: The study was conducted on 567 COVID-19 patients over 65 years old. All patients’ gender, age, medical history, COVID-19 PCR test results, blood test results, thorax CT images, vaccination status, hospitalization status, and treatment results were recorded. When evaluating the chest CT images, a semiquantitative scoring system was used. The patients were divided into the Omicron and Delta variant subgroups, and vaccinated and unvaccinated groups. Comparisons were made between the Delta variant and Omicron variant groups, the vaccinated and unvaccinated patient groups,and SARS-CoV-2 mRNA vaccinated and inactivated SARS-CoV-2 vaccinated patient groups. Results: A total of 519 patients were included in the study.337 patients were in the Omicron variant group, 182 were in the Delta variant group.The hospitalization rate, ICU admission rate, mortality rate, rate of symptomatic patients,and the median thorax CT severity score was significantly higher in the Delta variant group than the Omicron variant group.The hospitalization rate, ICU admission rate, mortality rate, median thorax CT score and the rate of asymptomatic patients was significantly higher in the unvaccinated patient group than in the vaccinated group.There was no significant difference in the mortality rates and in the ICU admission rates between the inactivated SARS-CoV-2 vaccinated group and the SARS-CoV-2 mRNA vaccinated group. Conclusion: The SARS-CoV-2 Omicron variant compared to the Delta variant and the SARS-CoV-2 vaccinated patients compared to the unvaccinated patients had a milder clinical course and less mortality in COVID-19 patients over 65 years old.

Use of the derived isohemagglutinin parameter to predict patients with COVID-19 in need of an intensive care unit

Predicting which patients will need the intensive care unit (ICU) due to severe COVID-19 is critical in terms of disease treatment. In this study, the use of the derived isohemagglutinin (dIH) parameter calculated from isohemagglutinin (IH) values and neutrophil to lymphocyte ratios for prediction of clinical care (CLC), ICU admission and mortality status was investigated for the morbidity and mortality of COVID-19. The data of approximately 21,500 patients admitted to the hospital with the suspicion of COVID-19 were scanned retrospectively. A total of 352 patients with IH results were divided into three groups according to CLC, ICU admission and mortality. Isohemagglutinin, hemogram and biochemistry test results, demographic characteristics, chronic diseases, length of stay, treatments, ICU admission and mortality records were reviewed for all patients. The relationship between test results, demographic characteristics, clinical status and mortality was investigated using statistical methods. The dIH values of patients with ICU admission and mortality were much lower than those of CLC patients [median (min-max): 3.34 (0.14-95.8) and 0.82 (0.05-42.3) vs. 0.18 (0.01-20.6) titers, p < 0.01, respectively]. In the ROC analysis for the power of dIH to discriminate ICU admission, the cutoff was ≤ 0.68 with sensitivity 88.9%, and specificity 79.6%. It was determined that a 1-unit increase in dIH values decreased the need for ICU by 2.09 times and the mortality of those receiving ICU treatment by 2.02 times. dIH values calculated in the early stages of the disease in patients with COVID-19 can be used to estimate the clinical progression associated with ICU admission and mortality.

Gamma-glutamyl-transferase may predict COVID-19 outcomes in hospitalised patients

AIM

In this study, we aimed to define the predictive role of liver function tests at admission to the hospital in outcomes of hospitalised patients with COVID-19.

MATERIAL AND METHOD

In this multicentric retrospective study, a total of 269 adult patients (≥18 years of age) with confirmed COVID-19 who were hospitalised for the treatment were enrolled. Demographic features, complete medical history and laboratory findings of the study participants at admission were obtained from the medical records. Patients were grouped regarding their intensive care unit (ICU) requirements during their hospitalisation periods.

RESULTS

Among all 269 participants, 106 were hospitalised in the ICU and 66 died. The patients hospitalised in ICU were older than patients hospitalised in wards (P = .001) and expired patients were older than alive patients (P = .001). Age, elevated serum D-dimer, creatinine and gamma-glutamyl transferase (GGT) levels at admission were independent factors predicting ICU hospitalisation and mortality in COVID-19 patients.

CONCLUSION

In conclusion, in hospitalised patients with COVID-19, laboratory data on admission, including serum, creatinine, GGT and d-dimer levels have an important predictive role for the ICU requirement and mortality. Since these tests are readily available in all hospitals and inexpensive, some predictive formulas may be calculated with these parameters at admission, to define the patients requiring intensive care.

Assessment of severity and mortality of COVID-19 with anti-A1 and anti-B IgM isohaemagglutinins, a reflection of the innate immune status

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.