You will be shown a claim related to the COVID-19 pandemic, and the abstract of a biomedical research paper. Each sentence from the abstract will be on a separate line. Your task is to return a JSON object with two fields:

- "verdict": The fact-checking verdict. If the information in the abstract supports the claim, write "SUPPORT". If the abstract contradicts the claim, write "CONTRADICT".
- "evidence": An array of sentences providing evidence for the verdict. Please copy all relevant sentences verbatim from the abstract.

For instance, if the model were given the claim "the COVID vaccine is safe for healthy adults", the output might be
{
  "verdict": "SUPPORT",
  "evidence": ["Our findings indicate that the risks of severe COVID vaccine side effects are low for healthy adults."]
}

Claim: Erythrocytes reveal complement activation in patients with covid-19

Abstract:
COVID-19, the disease caused by the SARS-CoV-2 virus, can progress to multi-organ failure characterized by respiratory insufficiency, arrhythmias, thromboembolic complications and shock.
The mortality of patients hospitalized with COVID-19 is unacceptably high and new strategies are urgently needed to rapidly identify and treat patients at risk for organ failure.
Clinical epidemiologic studies demonstrate that vulnerability to organ failure is greatest after viral clearance from the upper airway, which suggests that dysregulation of the host immune response is a critical mediator of clinical deterioration and death.
Autopsy and pre-clinical evidence implicate aberrant complement activation in endothelial injury and organ failure.
A potential therapeutic strategy warranting investigation is to inhibit complement, with case reports of successful treatment of COVID-19 with inhibitors of complement.
However, this approach requires careful balance between the host protective and potential injurious effects of complement activation, and biomarkers to identify the optimal timing and candidates for therapy are lacking.
Here we report the presence of complement activation products on circulating erythrocytes from hospitalized COVID-19 patients using flow cytometry.
These findings suggest that novel erythrocyte-based diagnostics provide a method to identify patients with dysregulated complement activation.
{"verdict": "SUPPORT", "evidence": ["Here we report the presence of complement activation products on circulating erythrocytes from hospitalized COVID-19 patients using flow cytometry.", "These findings suggest that novel erythrocyte-based diagnostics provide a method to identify patients with dysregulated complement activation."]}