Abstract
Background
There is no proven prognostic marker or adequate number of studies in patients
hospitalized for coronavirus disease 2019 (COVID-19).
Methods
We conducted a retrospective cohort study of patients hospitalized with COVID-
19 from March 14 to June 17, 2020, at São Paulo Hospital. SARS-CoV-2 viral
load was assessed using the cycle threshold (Ct) values obtained from an RT-
PCR assay applied to the nasopharyngeal swab samples. Disease severity and
patient outcomes were compared.
Results
Among the 875 patients, 50.1% (439/875) had mild, 30.4% (266/875) moderate,
and 19.5% (170/875) severe disease. A Ct value of <25 (472/875) indicated a
high viral load, which was independently associated with mortality (OR: 0,34;
95% CI: 0,217–0,533; p < 0.0001).
Conclusions
Admission SARS-CoV-2 viral load is an important surrogate biomarker of
infectivity and is independently associated with mortality among patients
hospitalized with COVID-19.
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Introduction
The pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-
2) has been responsible for causing >11 million infections around the world
since December 2019 [1]. Although the severity is mild in most cases, up to
33% of the infected patients require hospitalization and almost 20% die [2,3]. To
date, several studies have focused on the risk factors for moderate to severe
coronavirus disease-2019 (COVID-19), such as comorbidities, older age, and
laboratory abnormalities [4,5]. However, the effect of SARS-CoV-2 viral load on
clinical outcomes remains understated. Two Chinese studies demonstrated that
the viral load in hospitalized patients was higher [6,7] and one recent American
study demonstrated that higher viral loads were correlated with a higher risk of
intubation and death for inpatients [8]. Nevertheless, the correlation between
viral load and hospitalization risk in inpatients and outpatients remains
unelucidated.
Detection of SARS-CoV-2 by reverse transcription-polymerase chain reaction
(RT-PCR) assay in nasopharyngeal swab specimens is the primary diagnostic
Method
for COVID-19 [9]. Data concerning cycle threshold (Ct) values, which
are inversely proportional to the amount of RNA viral copies, has been used as
an inference of the viral load.
Viral load can also act as a biomarker of disease severity, clinical outcome, and
mortality. We conducted a retrospective analysis of SARS-CoV-2 Ct values,
disease severity, and clinical outcome of 875 patients at a large university
hospital in São Paulo, Brazil, between March and June 2020.
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Methods
Study population and setting
This retrospective observational cohort study involved patients who presented
with respiratory symptoms from March 14 to June 17, 2020, at São Paulo
Hospital in the Federal University of São Paulo, Brazil. A nasopharyngeal swab
sample was collected from all of the patients and analyzed for SARS-CoV-2. All
the specimens were stored in 2/i1mL sterile Ringer’s lactate solution in sterile
tubes and transported to the Virology Laboratory at the Federal University of
São Paulo for testing.
Viral load analysis method
We used the cycle threshold (Ct) values as a semiquantitative measure of viral
load. The amount of viral RNA copies present in the positive samples is
inversely proportional to the corresponding Ct value. That is, the greater is the
amount of viral RNA, the lower is the Ct value.
Samples and RNA preparation
Nasal swab samples were collected from the patients at admission. The RNA of
the samples was purified using the Quick-RNA Viral Kit (Zymo Research, USA),
according to manufacturer’s instructions. The purified RNA was stored at
−80°C.
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SARS-CoV-2 detection
Viral detection was performed using the AgPath-ID One-Step RT-PCR reagents
(ThermoFisher Scientific, Austin, USA), according to the manufacturer’s
instructions. The reactions were performed in a 20 µL total reaction volume
containing 5.0 µL purified RNA, 400 nM primers, and 200 nM probes following
the CDC USA protocol targeting the N1 and N2 sequences of the SARS-CoV-2
nucleoprotein gene and human ribonuclease P gene (RNAse P) serving as an
endogenous control [10]. For the semiquantitative analysis, we used the Ct
values of the more sensitive N2 target. Samples with Ct values <40 were
considered positive.
Data collection
Information on age, hospitalization status, and clinical outcome was retrieved
from the electronic medical records of the patients. According to World Health
Organization guidelines, patients were stratified into groups on the basis of age,
as follows: 0–5; 5–14; 15–24; 25–34; 35–44; 45–54; 55–64; 65–74; 75–84; and
>85 years. Disease severity and clinical outcome were classified as follows:
mild (no hospitalization), moderate (hospitalization in the ward), severe
(hospitalization in the Intensive Care Unit), and discharge or death. Patients
who were still hospitalized, awaiting a defined outcome, during data collection
were not considered for the statistical analysis.
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Statistical analysis
Statistical analyses were performed using the Student t-test for parametric data
and the Mann–Whitney test for non-parametric data. Significance level was set
at a p value of <0.05.
Results
Among the 875 individuals with laboratory-confirmed COVID-19, more
than a half (50.9%, 446/875) were female patients. The median age was 48
years (range, 2–97 years) and the median Ct value was 24. A Ct value of 24 (403/875) low viral load.
The initial Ct values for each age group is presented in Figure 1. We
found no significant differences.
Figure 1: Initial Ct values from the swab samples in different age groups.
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The Ct values were analyzed according to the disease severity—mild
(50.1%; 439/875; median, 22); moderate (30.4%; 266/875; median, 27), and
severe (19.5%; 170/875; median, 21.5)—in the 875 patients. The initial Ct value
for patients with moderate disease was higher and significantly differed from
that for patients with mild (p < 0.0001) and severe (p < 0.0001) disease, as is
shown in Figure 2.
Figure 2: Initial Ct values from the swab samples obtained from patients with
different clinical outcomes.
As is shown in Figure 3, when the initial Ct was compared with the hospital
discharge or death, survivors demonstrated a higher value (low RNA viral
copies) than non-survivors (Ct median, 27 and 21, respectively). The initial Ct
differed significantly between the two groups (p < 0.0001). Mortality rates were
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46% (87/191) among patients with a high viral load (Ct < 25) and 22% (41/185)
among patients with a low viral load. The risk of in-hospital mortality was also
higher in patients with a high viral load (Ct 24), and this association was statistically significant (OR: 0.34; 95% CI:
0.217–0.533; p < 0.0001).
Figure 3: Ct values from the swab samples according discharge or death
Discussion
The analysis of viral load is applied in different endemic respiratory
viruses’ diseases, although a clear association between the viral load and
disease severity or outcome remains unelucidated. [11,12,13,14]. Nonetheless,
certain viruses, such as H5N1, are considerably associated with severe
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disease, such as COVID-19. Pawestri et al. confirmed the association of the
viral load with poor disease outcome.
Our study included a large number of admission SARS-CoV-2 samples
with a stratified clinical expression in mild (non-hospitalized), moderate, and
severe (hospitalized) than described by others who did not categorize patients.
Argyropoulos et al. [16] found that patients with mild Covid-19 infection
presented high viral load, as was demonstrated in our study. However, their
study demonstrated that hospitalized patients had a lower viral load than non-
hospitalized patients, but they did not categorize the patients according to
disease severity. Their small sample size probably accounts for the different
Results
we observed in this study. Viral load distribution according to the Ct
values from initial samples of our study patients followed a V curve, with mild
and critically ill patients having higher viral load than hospitalized patients with a
better outcome.
Ct values of <25 were consistent with high viral load in patients who were
more likely to die during hospitalization. Magleby et al. [17] evaluating the
correlation between Ct values and clinical outcome demonstrated a significant
association between higher viral load and death or intubation.
The results of this study must be interpreted considering the
methodological limitations. We focused on virologic aspects and did not include
the effects of comorbidities, clinical symptoms, date of admission, date of
sample collection, use of antivirals and antibiotics because of the heterogenous
nature of the hospitalized patients and requirement of a large cohort for
subgroup analysis. The duration of symptoms before testing may be an
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important variable, therefore, date of symptom onset is not consistently reported
by medical assistants collecting samples at health services but other studies
demonstrated that patients with other acute viral infections tend to present to
hospital after expected peak viral load [18].
In conclusion, we found that admission SARS-CoV-2 viral load, as was
determined by the Ct value, is an important surrogate epidemiological marker of
infectivity that was independently associated with mortality among the patients
hospitalized with COVID-19. These findings suggest that Ct values can be used
to assist clinicians to identify patients at a high risk for severe outcome.
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