You will be shown a claim about public health, 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". If the abstract does not provide enough information to arrive at a verdict, write "NEI" (for "not enough information").
- "evidence": An array of sentences providing evidence for the verdict. Please copy all relevant sentences verbatim from the abstract. If the verdict was "NEI", then return an empty array.

For instance, if the model were given the claim "wearing masks can prevent the spread of COVID", the output might be
{
  "verdict": "SUPPORT",
  "evidence": ["Our findings indicate that mass mask-wearing reduces the transmission rate for COVID-19."]
}

Claim: reports hypertension may be risk factor for people who get infected with the coronavirus, experts says there's not enough evidence to support that fear.

Abstract:
Hypertension is one of the most common comorbidities in patients with coronavirus disease 2019 (COVID-19).
This study aimed to clarify the impact of hypertension on COVID-19 and investigate whether the prior use of renin-angiotensin-aldosterone system (RAAS) inhibitors affects the prognosis of COVID-19.
A total of 996 patients with COVID-19 were enrolled, including 282 patients with hypertension and 714 patients without hypertension.
Propensity score-matched analysis (1:1 matching) was used to adjust the imbalanced baseline variables between the 2 groups.
Patients with hypertension were further divided into the RAAS inhibitor group (n=41) and non-RAAS inhibitor group (n=241) according to their medication history.
The results showed that COVID-19 patients with hypertension had more severe secondary infections, cardiac and renal dysfunction, and depletion of CD8+ cells on admission.
Patients with hypertension were more likely to have comorbidities and complications and were more likely to be classified as critically ill than those without hypertension.
Cox regression analysis revealed that hypertension (hazard ratio, 95% CI, unmatched cohort [1.80, 1.20-2.70]; matched cohort [2.24, 1.36-3.70]) was independently associated with all-cause mortality in patients with COVID-19.
In addition, hypertensive patients with a history of RAAS inhibitor treatment had lower levels of C-reactive protein and higher levels of CD4+ cells.
The mortality of patients in the RAAS inhibitor group (9.8% versus 26.1%) was significantly lower than that of patients in the non-RAAS inhibitor group.
In conclusion, hypertension may be an independent risk factor for all-cause mortality in patients with COVID-19.
Patients who previously used RAAS inhibitors may have a better prognosis.
{"verdict": "CONTRADICT", "evidence": ["The results showed that COVID-19 patients with hypertension had more severe secondary infections, cardiac and renal dysfunction, and depletion of CD8+ cells on admission.", "Patients with hypertension were more likely to have comorbidities and complications and were more likely to be classified as critically ill than those without hypertension.", "In conclusion, hypertension may be an independent risk factor for all-cause mortality in patients with COVID-19.", "Patients who previously used RAAS inhibitors may have a better prognosis."]}