Assessment of Efficacy of KAN-JANG® in Mild COVID-19

The complexity of COVID-19 suggests a potential need for a range of therapies, including antiviral agents, immunostimulants, immunosuppressants, adaptogens, and anticoagulants. In this context, implementation of polyvalency drugs, which exhibit a wide range of biological activities and multitarget effects that is common for herbal medicines and specifically for Kan Jang, the fixed combination of Andrographis paniculata (Burm. F.) Wall. ex. Nees and Eleutherococcus senticosus (Rupr. \& Maxim.) Maxim which are known to exhibit antiviral, immunomodulatory, and anti-inflammatory effects and clinical efficacy in the respiratory tract of patients with infectious diseases. The purpose of this study is to provide scientific evidence on the effectiveness of Kan Jang for the treatment of mild COVID-19. We hypothesize that Kan Jang will have superior efficacy in amelioration COVID symptoms compared to placebo with a comparable safety profile to placebo. We hypothesize that Kan Jang will increase patients' recovery rate and decrease the duration of illness.

The objective of the study is to assess the efficacy and tolerability of adjuvant treatment with Kan Jang for alleviating the severity of inflammatory symptoms (headache, loss of smell, gustatory dysfunction, rhinorrhea, nasal congestions, cough, sore throat, asthenia, myalgia, and fever) and shortening of their duration in mild COVID-19 patients.

Rationale. Pathogenesis and progression of COVID-19 is a multistep process, which requires correct therapeutic strategy on various steps of initiation of overall defense response to pathogen and its resolution. Consequently, effective treatment of COVID-19 requires pharmaceutical corrections of many components innate, adaptive immune system, phases I-III metabolizing enzymes of detoxifying and repairing systems, and the SARS-Cov-2 virus' life cycle and proliferation.

It can be achieved by multitarget pharmaceutical intervention of herbal preparations with polyvalent and pleiotropic actions on host defense systems, e.g., adaptogens Andrographis paniculata L. (Burm. F.) Wall. ex. Nees and Eleutherococcus senticosus (Rupr. \& Maxim.) Maxim, known as natural stress-protective plant extracts that increase adaptability, resilience, and survival of organisms.

A growing body of evidence suggests that extracts of Andrographis paniculata L. (SHA-10) and Eleutherococcus senticosus (SHE-3) are effective and well-tolerated medications for preventing and treating acute viral respiratory infections. WHO recognizes the use of Andrographis paniculata in the symptomatic treatment of upper respiratory infections, bronchitis, and pharyngotonsillitis. Recently, Thailand's health ministry approved using an Herba Andrographidis extract to treat the early stages of Covid-19 as a pilot program amid a flareup in the coronavirus outbreak in Thailand.

The fixed combination of these plants' extracts, the herbal medicinal product Kan Jang®, has been used in Scandinavia for treating symptoms of viral respiratory diseases, such as common colds and influenza, for \>30 years. The clinical evidence accumulated indicates that Kan Jang has strong and, in many cases, significant effects on various common cold symptoms. In general, significant improvements were observed in nasal symptoms (e.g., secretion (g/day) frequency, and congestion, throat symptoms (soreness), respiratory problems (incl. cough, frequency of cough), headache, general malaise, fatigue, earache, sleep disturbance, and the objective parameter body temperature and decreased overall total symptoms scores in 5 days of treatment. Furthermore, Kan Jang® sped up patients' recovery and reduced post-influenza complications during the influenza viruses A1 and A3 periods in 1999 and 2000.

Both A. paniculata and E. senticosus and their fixed combination, Kan Jang®, exhibit antiviral, immunomodulatory, and anti-inflammatory effects. Kan Jang® is significantly more effective than the two active ingredients A. paniculata, and E. senticosus extracts alone, presumably due to synergistic interactions in molecular networks deregulated by Kan Jang. A recent study direct antiviral activity of Andrographis, Eleutherococcus, and their combination Kan Jang®, against coronavirus, has been demonstrated: Kan Jang significantly inhibits coronavirus growth in isolated human cells. The antiviral activity of the combinations of Andrographis and Eleutherococcus is more significant than expected. Further studies in COVID-19 patients are warranted to verify whether this observation of the direct antiviral activity of Kan Jang® has clinical significance.

Assessment of primary and secondary endpoints

Treatment benefits will be evaluated by assessment of clinical outcomes, including clinician-reported outcome; observer-reported outcome; performance patient-reported outcomes and biomarkers

Treatment benefits will be evaluated by assessing clinician-, observer- and patient-reported outcomes, including performance outcomes and biomarkers.

Efficacy primary and secondary endpoints will be obtained by intergroup comparison of clinical outcomes changes from baseline during the treatment and follow-up (from Day 1 to Day 14 and day 21 after randomization) in Kan Jang control groups.

A description of the statistical methods to be employed, including the timing of any planned interim analysis (es).

Clinical data at each visit will be recorded using a standardized clinician assessment form and a set of patient rating scales. The data will be entered into an Excel database used as input to statistical software GraphPad (San Diego, CA, USA) Prism software (version 6.03 for Windows), which will be the primary software used for data development and analysis.

Statistical analysis will involve evaluating the patient's change in scores on the test scale from the initial visit (baseline) to intermediate and the final visit and at each scheduled visit of the study. Analysis of changes within treatment groups during the study (Visits 1,2,3 and 4) will be performed by:

* One-way, repeated measures ANOVA (variables with normal distribution),
* Friedman test for repeated several measures (nonparametric data), Results will be calculated using parametric or non-parametric statistical methods depending on the nature of data and applied on intention to treat and per-protocol study groups.

We will evaluate two main questions.

Question 1: was randomization successful, and are groups equal at the beginning of the study?

To assess whether the treatment groups are similar at baseline, we will compare the mean values at baseline for subjects who receive Kan Jang vs. placebo by the Student's parametric independent-measures t-test (variables with normal distribution) or Mann-Whitney non-parametric test, depending on results of normality test.

Question 2: is the effect of Kan Jang treatment superior to the Placebo effect?

Assessment of the efficacy of study medications will be achieved by comparison of mean changes from the baseline (differences before and after treatment of every single patient) between groups using two-way between-within ANOVA in which an interaction effect indicates a different response over time between the two groups and would therefore signal a treatment effect, as well as by multiple comparison t-test (one unpaired test per row),

The primary endpoint is defined as the Duration of the Symptoms. Kaplan-Meier curves will be generated for all endpoints, and medians will be calculated from those curves. The treatment arms will be compared by Mantel-Cox log-rank and Gehan-Breslow-Wilcoxon tests. we will calculate the estimates of treatment hazard ratios based on log-rank tests and 95% CIs.

Intergroup comparison of the number of patients with particular symptoms will be assessed using the odds ratio (OR) statistics of endpoints according to Altman; A/B test of significance of differences of endpoints at 95% confidence, and z-statistic at 95% confidence of statistical significance (Figure 3 b and Supplement 2) (https://www.medcalc.org/calc/odds_ratio.php)

The effect size of the individual and overall symptoms will be calculated as the difference between the effects of Kan Jang and placebo. We will evaluate an overall relative estimate of overall effect size (%) between two treatment groups as.

Effect size (%) = KJ™ - Placebo / KJ™ X 100

We will use a statistical significance level of 5% in the Protocol approved by the health authorities.

We will perform statistical analysis on an intent-to-treat basis.

Safety Analyses

Descriptive statistics (mean, median, standard deviation, minimum, and maximum for continuous variables, and frequencies and percent for categorical variables) will be used to summarize safety measures, which include adverse experiences, physical examination, vital signs, and clinical laboratory tests, etc.

The incidence of adverse events will be compared across treatment groups for descriptive purposes and to identify possible differences in the safety profiles using the odds ratio (OR) statistics of endpoints according to Altman; A/B test of significance of differences of endpoints at 95% confidence; and z-statistic methods for categorical data https://www.medcalc.org/calc/odds_ratio.php.

Eligibility Criteria:
Inclusion Criteria:

* Laboratory confirmed (SARS-Cov-2 PCR-positive test) mild COVID-19 infection (in the last three days),
* COVID-19 patient in stable, moderate condition (i.e., not requiring Intensive Care Unit (ICU) admission).
* Subjects must be under observation or admitted to a controlled facility or hospital (home quarantine is not sufficient).
* Able to take medication alone
* Able to give informed consent.

Exclusion Criteria:

* Pulmonary diseases
* Chronic pulmonary diseases
* Chronic rhinosinusitis
* Patient admitted already under invasive mechanical ventilation;
* The patient admitted with the severe acute respiratory syndrome and diagnosed with an etiologic agent other than Covid 19;
* Renal failure requiring dialysis or creatinine ≥ 2.0mg/dl;
* Tube feeding or parenteral nutrition.
* Respiratory decompensation requiring mechanical ventilation.
* Uncontrolled diabetes type 2.
* Hypertension stage 3,
* Autoimmune disease.
* Pregnant or lactating women.
* Patients are taking antibiotics for a reason other than COVID-19 at enrollment.
* Has a chronically weakened immune system (AIDS, lymphoma, chemo-radio- corticosteroid therapy, immunosuppressive pathology);
* Patients treated with chemo-radio-corticosteroid therapy in the last six months.
* Patients with active cancer.
* Taking immunosuppressive drugs (e.g., anti-rejection treatment after organ transplant);
* Already participating in another clinical trial;
* Has any other condition that would prevent safe participation in the study.