Cardiac Manifestation in Adolescent After Pfizer COVID-19 Injection in Thailand

Rationale Recently, a CDC advisory Committee on Immunization Practices identified a likely association between the 2 COVID-19 mRNA vaccines from Pfizer-BioNTech and Moderna and cases of myocarditis and pericarditis. For the cardiovascular system, 4863 adverse events (AEs) were reported from the Pfizer vaccine. Common findings observed with vaccines under study were tachycardia(16.41%), flushing (12.17%), hypertension (5.82%), hypotension (3.6%), and increased heart rate (9.03%). In this study we characterized, classified, evaluate the dynamic of cardiac function and ECG abnormality after the Pfizer vaccine injection.

This is a prospective cohort study. All participants aged 13-18 years old and above who visited the second dose Pfizer covid-19 vaccine injection to determine cardiac manifestation.

Methods for analyzing research data The data will be collected from students enrollment at Kong thabbok upatham changkol kho so tho bo school and Wachirathamsatit school. The participant's history, physical exam, and laboratory data will be reviewed and data will be extracted based on the case record form (CRF). All data will be stored securely and analyzed using the SPSS® Statistics Version 23 developed by IBM®. Data entry will be carried out using coding and verification. Quantitative data will be expressed as mean with standard deviation (SD) or median (IQR) and qualitative data will be presented as a number of observations with percentage (%). Descriptive statistics will be used to summarize the baseline values and demographic data.

All p-values will be derived using the 2-tailed testing, and statistical significance will be set at 0.05 probability. All the categorical variables will be analyzed using the chi-square (x2) or Fisher's exact test whichever is appropriate. Normality of the distribution will be tested for the continuous variable using the Kolmogorov- Smirnov test. All the variables with normal distributions will be compared using the independent t-test and will be reported as mean ± standard deviation (SD). The variables that do not pass the normality test will be compared by means of the Mann-Whitney U test and will be reported as the median and interquartile range (IQR).