Retrospective Evaluation of Clinical, Virological and Serological Data in Patients With Mild Acute Upper Respiratory Tract Infections

1. Symptoms and quality of life data of patients with mild, acute upper respiratory symptoms in the stated period, as recorded in standard health assessment questionnaires used at the institution. Symptoms and quality of life parameters recorded during the course of acute mild upper respiratory disease based on the health assessment questionnaires used at the institution and international standard upper respiratory questionnaires (revised " CMC Déli Klinika - Clinical Data, Health and Risk Assessment Related to the SARS CoV-2 Tests" questionnaire and the WHO-protocol_2019-nCoV-Seroepidemiology-2020.1 and WURSS based on "Wisconsin Upper Respiratory Symptom Survey - WURSS-24 - Daily Symptom Report".
2. Clinical laboratory data: Results of the SARS CoV-2 PCR and serological tests over a 15-day period. As an additional cohort, contact persons with close exposure, who were asymptomatic or presenting with mild upper respiratory symptoms, in whose case the SARS CoV-2 virus was detected by PCR within 48 hours and the proximity of SARS CoV-2 PCR positive patients can be considered as potential exposure.

The study was conducted between 01 January 2021 to 30 June 2021, using data from patients presenting at the CMC Déli Klinika. Data analysis for research purposes includes a critical analysis of the results of the enrollment tests, the so-called (baseline data) laboratory data and the results from the online (follow-up) symptom diaries.

For all persons presenting at the institution, it should be confirmed during the standard consent procedure of the clinic that the CMC Déli Klinika conducting the data collection will treat patient documents and data in strict confidence. In addition, all personal data, especially sensitive data related to the health of the research participants, must be handled in accordance with GDPR 2016/679 and all related local requirements.

The data collection perod is 1 January 2021 to 30 June 2021, using data from patients presenting at the CMC Déli Klinika. Data analysis for research purposes includes a critical analysis of the results of the enrollment tests, the so-called (baseline data) laboratory data and the results from the online (follow-up) symptom diaries.

Due to the retrospective observational nature of the study, the analysis will be descriptive/exploratory. Available data from all patients who meet the inclusion criteria will be included in the analysis. The subgroups will be analyzed in an exploratory way (e.g. by age, gender, medications used and other supplementary therapies, and by relevant subgroups). The analysis plan is to be developed at an analytical statistical meeting after the primary analysis of the data for the period under review. One of the variables in the study is the change in the revised WURSS-24 scale score on days 10-15 compared to the baseline 2-day value, and its change in the 2-10 day period under review. The change will be analyzed by descriptive statistical methods, there will be no formal hypothesis testing. The results of the statistical tests performed will be interpreted descriptively. Continuous data will be described by statistical estimates (mean, standard deviation, minimum and maximum, mode, median). Categorical data will be characterized by absolute frequency and percentage. The parameters related to the research study objectives will be described descriptively, and the time course and characteristic extreme values of each data set will be presented. According to the applied treatment, the data will be compared by t-test in the case of two groups and by ANOVA in the case of more than 2 groups. The change over time will also be presented graphically. For the proportion of PCR-positive patients confirmed by standard diagnostic procedure, the proportion of COVID-positive patients confirmed by PCR and PCR-positive contact persons on days 10-15 and the related 95% confidence interval will be determined. The ratios measured in each treatment subgroup will be compared by Chi-square test.

For quality of life questions used by the institution, the quality of life will be evaluated on a QoL scale. The results of the questionnaires will be summarized separately for each subgroup by time, using descriptive statistics. For continuous variables, the number of cases, mean, standard deviation, median, minimum and maximum values will be presented. For categorical variables, the case number and frequency will be presented.

In the course of its healthcare services, the institution provides medical and health data related to patients in accordance with the data protection standards, confidentiality and local/regional/national requirements. All records and patient documents being kept confidential. During the retrospective analysis, the data will be stored exclusively in a coded form according to the institution's database, anonymously. In order to process the data, they will be entered and checked by qualified staff in accordance with the daily standard routine. The inspection of the clinical data of the retrospective survey will be performed for the purpose of verification by a designated independent clinical research specialist at the study site. The statistical evaluation of the data and the comparison of the results of each subgroup will be carried out with the involvement and under the guidance of a specialist statistician. Descriptive statistical methods, as well as the formation of relevant subgroups for each parameter and the drug and supplementary therapies used to treat symptoms, and comparative analysis of cohort data. Data will be analyzed anonymously, aggregated and by subgroups.

The institution conducting the research is responsible for submitting an application, in an appropriate method and form, for the ethical authorization of the retrospective analytical research. In accordance with the relevant rules of procedure, a copy of the submitted documentation as well as the source data used and its database will be archived by the principal investigator.