Genotype-phenotype correlations in five patients harboring SERPINA1 mutations and previously showing a severe COVID-19 infection

Background/Objectives: During COVID-19 pandemic, it is essential to detect patients potentially at risk of life-threatening complications, due to possible specific genetic mutations. The aim of our work is to show a practical application of genetic testing, allowing a diagnosis of alpha 1 antitrypsin deficiency in cases with a severe clinical course during COVID-19 infection. Method(s): During hospitalization for COVID-19, we identified 5 patients (3 female, 2 males from two different families, age range 18-47 years) with a severe course of COVID-19 infection, requiring high pressure ventilation with high volume oxygen supply. Two months after discharge, those patients were reevaluated with respiratory function tests, biochemical tests, genetic counselling and genetic testing. A peripheral blood sampling for SERPINA1 genetic testing has been performed, using Sanger sequencing. Result(s): Two months after discharge, in all 5 patients respiratory function tests were consistent with a dysventilatory obstructive syndrome, in contrast with usual findings related to COVID-19 infection. Blood test still showed increase plasmatic transaminase concentration in 3 out of 5 patients, one having increased serum bilirubin as well. We performed SERPINA1 genetic testing showing homozygosity for SERPINA1 pathogenic mutations (c.193del and c.875C>T, respectively) in all 5 patients. Conclusion(s): These cases showed the importance of genetic testing for patients with unexplained severe COVID-19 infection. Genetic testing allowed the diagnosis of cases affected by alpha 1 antitrypsin deficiency, associated with dysventilatory obstructive syndrome, that may worsen the short and long term prognosis of COVID-19.

The Electro-Anatomical Pathway for Normal and Abnormal ECGs in COVID Patients

Patients with COVID-19 frequently have non-typical ECG changes in the QRS and T-wave morphology. The novel CineECG uses using the mean temporal spatial isochrones (mTSI) to relate the activation and recovery pathway to the cardiac anatomy. The aim of this feasib ility study is to use the novel CineECG to separate normal from abnormal ECGs. The ECGs of 100 normal controls were used to obtain the normal mTSI paths values for the QRS, ST segment and T-wave. These normal CineECG values were used to classify the COVID-19 ECGs as either as normal or abnormal of 107 patients being treatedfor COVID-19 in the University Medical Center Utrecht. The CineECG was able to classify 98% of the normal ECG correctly and 94% of the abnormal ECG in comparison to expert ECG classifications. The ability of the CineECG to relate the ECG to the cardiac anatomy supports the detection of abnormal ECGs. The CineECG might be a novel ECG screening tool to detect potential cardiac involvement of the COVID-19 disease for non-ECG experts. © 2020 Creative Commons;the authors hold their copyright.