A Systematic Review of the Clinical Utility of Cycle Threshold Values in the Context of COVID-19.

BACKGROUND: The ability to predict likely prognosis and infectiousness for patients with COVID-19 would aid patient management decisions. Diagnosis is usually via real-time PCR, and it is unclear whether the semi-quantitative capability of this method, determining viral load through cycle threshold (Ct) values, can be leveraged.
OBJECTIVES: We aim to review available knowledge on correlations between SARS-COV-2 Ct values and patient- or healthcare-related outcomes to determine whether Ct values provide useful clinical information. SOURCES: A PubMed search was conducted on 1 June 2020 based on a search strategy of (Ct value OR viral load) AND SARS-CoV-2. Data were extracted from studies reporting on the presence or absence of an association between Ct values, or viral loads determined via Ct value, and clinical outcomes. CONTENT: Data from 18 studies were relevant for inclusion. One study reported on the correlation between Ct values and mortality and one study reported on the correlation between Ct values and progression to severe disease; both reported a significant association (p < 0.001 and p = 0.008, respectively). Fourteen studies reported on the correlation between Ct value or viral loads determined via Ct value and disease severity, and an association was observed in eight (57%) studies. Studies reporting on the correlation of viral load with biochemical and haematological markers showed an association with at least one marker, including increased lactate dehydrogenase (n = 4), decreased lymphocytes (n = 3) and increased high-sensitivity troponin I (n = 2). Two studies reporting on the correlation with infectivity showed that lower Ct values were associated with higher viral culture positivity. IMPLICATIONS: Data suggest that lower Ct values may be associated with worse outcomes and that Ct values may be useful in predicting the clinical course and prognosis of patients with COVID-19; however, further studies are warranted to confirm clinical value.

Key Summary Points

Introduction

Patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) display disparate disease severity, ranging from an absence of symptoms to requiring intensive care and fatal outcomes [1]. Therefore, the ability to predict the likely prognosis and infectiousness of patients at diagnosis would greatly aid treatment and patient management decisions.

The standard molecular method for coronavirus disease 2019 (COVID-19) diagnosis is via real-time reverse transcription polymerase chain reaction (RT-PCR) [2]. Real-time RT-PCR cycle threshold (Ct) values represent the number of amplification cycles required for the target gene to exceed a threshold level. Ct values are therefore inversely related to viral load and can provide an indirect method of quantifying the copy number of viral RNA in the sample; however, the use of Ct values as a proxy of viral load is influenced by the assay itself (correlation would stand in the linear dynamic range of the specific RT-PCR assay used) and factors within the sample matrix that can affect amplification efficiency [3].

It has previously been suggested that the viral load of SARS-CoV-2 may be an important factor in determining both disease severity and likelihood of transmission [4-6]. Although there are many differences between the current SARS-CoV-2 pandemic compared to the SARS-CoV epidemic of 2002, evidence from SARS-CoV indicated that higher viral load was associated with increased need for intensive care and overall worse prognosis [7-9]. In a clinical setting, the results of SARS-CoV-2 RT-PCR diagnostic tests are usually reported qualitatively as a binary positive or negative result using a specified cut-off, either based on Ct or integrated by an automatic algorithm interpreting different parameters of the potential amplification; Ct values themselves are not normally reported. It is currently unclear whether SARS-CoV-2 Ct values could be leveraged to guide patient management decisions.

In this review, we assessed the available global literature to determine whether there is evidence that SARS-CoV-2 Ct values correlate with clinical outcomes and therefore whether they could provide valuable information to clinicians for more tailored decision-making.

Methods

This review was undertaken according to the principles outlined in the Cochrane handbook. A comprehensive search of PubMed was conducted on 1 June 2020 based on the following search strategy: (Ct value OR viral load) AND SARS-CoV-2. The full search string is presented in the Supplementary Materials. Titles and abstracts were screened for relevance by two independent reviewers, and a third reviewer resolved conflicts. All studies that were conducted in humans diagnosed with COVID-19 and reported on the presence or absence of an association between real-time RT-PCR Ct values, or viral load specifically determined via real-time PCR Ct value, and clinical or healthcare-associated outcomes were eligible for inclusion. Studies that reported only on the time course of SARS-CoV-2 viral load or that only compared viral load in different sample types or using different methodologies were not included. Pre-review articles, animal studies and reviews were excluded, but additional publications were identified by manual citation searching of appropriate reviews. The full texts of relevant studies were assessed for inclusion by two independent reviewers and key data from all included studies were captured using a data extraction form. All extracted data were verified by an independent reviewer. This article is based on previously conducted studies and does not contain any studies with human participants or animals performed by any of the authors.

Results

Included Studies

PubMed searches identified 162 unique records for screening and one study was identified through manual citation searches. The PRISMA flowchart of included studies is shown in Fig. 1. Data from 18 studies were relevant for inclusion and are summarised in Tables 1 and 2.

Fig. 1

PRISMA flow diagram

Table 1

Summary of reported data relating to SARS-CoV-2 real-time PCR Ct value correlation with mortality, disease progression and severity

Outcome	Study	Country	Number of PCR + patients	Patients	Sample type	RT-PCR target	Timepoint of assessment	Lower Ct values associated with worse outcome	P value	Outcome measure
Mortality	Huang et al. [11]	China	308	Hospitalised adult patients	Nasal and pharyngeal swab	ORF1ab gene	Multiple time points after admission	Yes	< 0.001	Average Ct values were lower in patients who died during the study than those who did not [discharged from hospital: median 37.43 (IQR 34.94–38.67); still hospitalised: median 36.97 (IQR 34.33–38.70); deceased: median 34.79 (IQR 25.46–37.65)]
Disease progression	Yu et al. [17]	China	92	Hospitalised patients	Sputum from the lower respiratory tract	N and Orf1b genes	Hospital admission	Yes	0.008	Lower Ct values were observed in specimens from patients who became severe during hospitalisation than those did not (Ct values 24 vs. 29)
									NR	Ct values negatively correlated with the probability of progression to severe disease in patients representing mild-moderate disease at admission
Severity of disease	Arons et al. [25]	USA	57	Patients in a long-term skilled nursing facility	Nasopharyngeal and oropharyngeal swabs	N1 and N2 genes	10 days after first patient within the facility tested positive	No	NR	Median Ct values for the four symptom status groups were similar (asymptomatic: 25.5; presymptomatic: 23.1; atypical symptoms: 24.2; typical symptoms: 24.8)
	He et al. [10]	China	94	Hospitalised patients	Throat swab	N gene	Symptom onset to day 32	No	NR	Graphs of Ct values over time for patients with mild or severe disease and at least one positive test result (Ct value < 40) did not show any obvious difference in Ct value by disease severity
	Huang et al. [11]	China	308	Hospitalised patients	Nasal and pharyngeal swab	ORF1ab gene	Multiple time points after admission	Yes	NR	Ct values of critical patients were much lower than general patients and severe patients in the early stages of hospitalisation. The overall Ct values of general patients were higher than severe patients
	Kimball et al. [26]	USA	23	Patients in a long-term skilled nursing facility	Nasopharyngeal and oropharyngeal swabs	N1 and N2 genes	12 days after an HCP within the facility tested positive	No	0.3	Mean Ct values in the four symptom status groups did not show any difference (typical symptoms: 18.6–29.2; atypical symptoms only: 24.3–26.3; presymptomatic: 15.3–37.9; asymptomatic: 21.9–31.0)
	Liu et al. [14]	China	12	Hospitalised patients	Respiratory samples, including throat swabs	ORF1ab and N genes	Hospital admission	Yes	0.01	Ct value was positively linked to lung disease severity measured by Murray score (r =  − 0.765)
									0.018	Ct value was positively linked to PaO2/FiO2 ratio (r = 0.663)
									0.08	There was no significant correlation of APACHE II scores with Ct values (r =  − 0.503)
	Liu et al. [13]	China	76	Hospitalised patients	Nasopharyngeal swab		Hospital admission	Yes	0.017	Patients with severe disease had significantly lower Ct values than mild-moderate cases at admission (25 vs. 28)
	Liu et al. [12]	China	76	Hospitalised patients	Nasopharyngeal swab		At diagnosis	Yes	< 0.00001	ΔCt values (Ct of sample minus Ct of reference sample) of severe cases were significantly lower than those of mild cases at the time of admission (− 1.42 ± 3.62 vs. 4.44 ± 3.99); the mean viral load of severe cases was around 60 times higher than that of mild cases
	Schwierzeck et al. [23]	Germany	12	Paediatric dialysis patients	Nasopharyngeal swab	E and RdRP genes	> 5 days after contact with index case	Yes	0.007	Ct values of the symptomatic cases [22.55 (range 16.03–23.50); n = 6] were lower compared with asymptomatic cases [29.94 (range 21.89–37.49); n = 6], indicating an approximately 200-fold higher viral load
	Shi et al. [15]	China	114	Hospitalised patients	Pharyngeal swab	N gene	Hospital admission	Noa	NR	Mean viral load was lower in cases with pneumonia (5.15 log10 copies/ml), followed by non-pneumonia cases (5.22 log10 copies/ml) and highest in severe pneumonia cases (5.58 log10 copies/ml), but the differences were not significant
									< 0.05	Among female cases, mean viral load in patients with severe pneumonia was higher and significantly differed from non-pneumonia patients and pneumonia patients
									< 0.05	Within the C-reactive protein- and serum amyloid A-positive group, mean viral load was higher in patients with severe pneumonia than in those without pneumonia (4.80 log10 copies/ml vs. 5.50 log10 copies/ml)
	To et al. [21]	Hong Kong	23	Hospitalised patients	Early morning saliva from the posterior pharynx	RdRP gene	0–29 days after symptom onset	Noa	0.56	Median initial viral loads in severe cases were higher than those in mild cases [log 10 copies/ml 6.17 (IQR 4.18–7.13) vs. 5.11 (IQR 3.91–7.56)] although the difference was not significant
									0.52	Median peak viral loads in severe cases were higher than those in mild cases [6.91 log10 copies/ml (IQR 4.27–7.40) vs. 5.29 log10 copies/ml (IQR 3.91–7.56)], although the difference was not significant
	Xia et al. [16]	China	10	Hospitalised patients	Nasopharyngeal swab	ORF1ab and N genes	Hospital admission	Yes	NR	Ct values for severe cases (n = 3) were lower than those of other patients (n = 7)
	Yu et al. [17]	China	92	Hospitalised patients	Sputum from the lower respiratory tract	N and Orf1b genes	Hospital admission	Yes	0.017	Severe patients had lower Ct values than mild-moderate cases at admission (25 vs. 28)
	Zheng et al. [19]	China	96	Hospitalised patients	Respiratory	ORFab1	Multiple time points after admission	Yesa	0.03	Patients with severe disease had significantly higher viral loads than patients with mild disease
					Stool	ORFab1		Noa	0.83	Viral loads in stool samples showed no significant difference between patients with mild disease and patients with severe disease
					Serum	ORFab1		Noa	0.09	Viral loads in serum samples showed no significant difference between patients with mild disease and patients with severe disease
	Zou et al. [20]	China	18		Nasal and throat swabs	Orf1b	0–21 days after symptom onset	No	NR	Viral load that was detected in the asymptomatic patient (n = 1) was similar to that in the symptomatic patients

APACHE Acute Physiology and Chronic Health Evaluation, Ct cycle threshold, HCP healthcare professional IQR inter-quartile range, RT-PCR real-time polymerase chain reaction

aPresence or absence of correlation of outcome with viral load determined via use of a Ct standard curve rather than directly with Ct values

Table 2

Summary of reported data relating to SARS-CoV-2 real-time PCR Ct value correlation with clinical biomarkers and infectivity

Outcome	Study	Country	Number of PCR + patients	Patients	Sample type	RT-PCR target	Timepoint of assessment	Lower Ct values associated with worse outcome	P value	Outcome measure
Clinical markers	Azzi et al. [22]	Italy	25	Hospitalised patients with severe disease	Saliva	5′ Untranslated region	After hospital admission	Yes	0.04	There was an inverse correlation between LDH levels and Ct values
									0.07	There was no significant correlation between ultrasensitive C-reactive protein levels and Ct values
	Huang et al. [11]	China	308	Hospitalised patients	Nasal and pharyngeal swab	ORF1ab gene	Multiple time points after admission	Yes	< 0.0001	Cases with Ct < median had higher neutrophil percentages than cases with Ct > median [62.4 (54.8–74.2) vs. 61.8 (52.6–70.5)]
									0.0007	Cases with Ct < median had lower lymphocyte percentages than cases with Ct > median [24.1 (16.1–30.2) vs. 25.7 (17.6–32.4)]
									0.0002	Cases with Ct < median had lower basophil percentages than cases with Ct > median [0.40 (0.20–0.70) vs. 0.60 (0.30–0.80)]
									0.0001	Cases with Ct < median had lower eosinophil percentages than cases with Ct > median [1.60 (0.50–2.80) vs. 2.00 (0.98–3.20)]
									< 0.0001	Cases with Ct < median had lower T cell counts than cases with Ct > median [783 cell/µl (466–1126) vs. 916 cells/µl (692–1132)]
									< 0.0001	CK-MB levels were increased in cases with Ct < median compared with cases with Ct > median [0.84 µg/l (0.53–1.66) vs. 0.65 µg/l (0.40–1.12)]
									< 0.0001	Myoglobin levels were increased in cases with Ct < median compared with cases with Ct > median [32.8 µg/l (25.0–68.2) vs. 26.4 µg/l (21.1–38.6)]
									< 0.0001	Ultrasensitive troponin-1 levels were increased in cases with Ct < median compared with cases with Ct > median [0.01 µg/l (0.01–0.03) vs. 0.01 µg/l (0.01–0.01)]
									0.0005	N-terminal pro-brain natriuretic peptide levels were increased in cases with Ct < median compared with cases with Ct > median [173.4 ng/l (43.3–646.1) vs. 91.4 ng/l (28.0–278.0)]
									< 0.0001	Cases with Ct < median had lower serum albumin compared with cases with Ct > median [36.3 g/l (32.9–39.2) vs. 37.7 g/l (34.8–40.0)]
									< 0.0001	Cases with Ct < median had lower inorganic phosphorus levels compared with cases with Ct > median [1.15 mmol/l (0.99–1.30) vs. 1.22 mmol/l (1.07–1.35)]
									< 0.0001	Cases with Ct < median had higher adjusted calcium levels compared with cases with Ct > median [2.47 (2.27–2.67) vs. 2.40 mmol/l (2.25–2.59)]
									< 0.0001	LDH levels were increased in cases with Ct < median compared with cases with Ct > median [220.0 mmol/l (187.0–287.5) vs. 204.0 mmol/l (174.0–240.0)]
	Liu et al. [11]	China	12	Hospitalised patients	Respiratory samples, including throat swabs	ORF1ab and N genes	Hospital admission	Yes	0.035	Angiotensin II level in plasma samples was markedly elevated and negatively correlated with Ct value (r =  − 0.669)
									0.01	Albumin levels correlated with Ct value (r = 0.717)
									0.01	Percentage of lymphocytes correlated with Ct value (r = 0.717)
									0.05	Percentage of neutrophils negatively correlated with Ct value (r =  − 0.529)
									0.03	CRP levels negatively correlated with Ct value (r =  − 0.584)
	Liu et al. [13]	China	76	Hospitalised patients	Nasopharyngeal swab		Hospital admission	Yes	< 0.001	ΔCt value (Ct of sample minus Ct of reference sample) was positively correlated with lymphocyte counts (r = 0.548)
									< 0.001	ΔCt value was positively correlated with CD4 + T lymphocyte counts (r = 0.478)
									< 0.001	ΔCt value was positively correlated with CD8 + T lymphocyte counts (r = 0.525)
									0.002	ΔCt value was negatively correlated with interleukin-2R levels (r =  − 0.323)
									0.004	ΔCt value was negatively correlated LDH levels (r =  − 0.339)
									< 0.001	ΔCt value was negatively correlated with high-sensitivity troponin T levels (r =  − 0.537)
	Yuan et al. [18]	China	217	Paediatric patients	Throat swab	ORF1ab gene	0–24 days after symptom onset	Yes	NR	Viral loads (assumed to be inversely related to Ct value) were positively correlated with myocardial zymogram, CK-MB, LDH and IL-10, while negatively correlated with neutrophils, CD8 + T cells and white blood cells
					Anal swab	ORF1ab gene		Yes	NR	Viral loads (assumed to be inversely related to Ct value) were positively correlated with myocardial zymogram, CK-MB, LDH and CD4 + cell counts, while negatively correlated with neutrophils, Tregs, IgG and IgM
Infectivity	Bullard et al. [27]	Canada	90		Nasopharyngeal or endotracheal samples	E gene	0–21 days after symptom onset	Yes	< 0.001	Positive culture samples had a significantly lower Ct values compared with culture-negative samples [17 (16–18) vs. 27 (22–33), respectively]
									< 0.001	Multivariate logistic regression using positive culture as a predictor variable and symptom onset to test, age and gender as independent variables showed Ct value as being significant (OR 0.64 [95% CI 0.49, 0.84])
	La Scola et al. [24]	France	155		Nasopharyngeal swab or sputum	E gene	Not reported	Yes	NR	An association between Ct value and culture positivity rate was observed: samples with Ct values of 13–17 all led to positive culture; culture positivity rate then decreased progressively according to Ct values to reach 12% at Ct = 33; no culture was obtained from samples with Ct > 34

CK-MB creatinine kinase myocardial band, Ct cycle threshold, IQR inter-quartile range, LDH lactate dehydrogenase, RT-PCR real-time polymerase chain reaction

Twelve studies (63%) were conducted in China or Hong Kong [10-21], three studies were performed in Europe [22-24] and three studies were carried out in the USA or Canada [25-27]. Nearly all studies reported data for specimens from the respiratory tract, although two studies analysed saliva [21, 22], one used stool and serum samples in addition to respiratory samples [19], and one used both throat and anal swabs [18]. The real-time PCR targets varied between studies and included ORF1ab (including RdRp), N and E genes and the 5′ untranslated genome region. Six studies analysed SARS-CoV-2 Ct values at multiple time points for each patient [10, 11, 18–21], and seven studies determined Ct values at hospital admission or diagnosis [12–17, 22]. Fourteen studies reported on the direct correlation of outcomes with Ct values [10–14, 16, 17, 20, 22–27]. Three studies reported on the correlation of outcomes with viral load, determined using standard curves of Ct values versus RNA copy number [15, 19, 21], and one study correlated outcomes with the inverse of Ct values, taken as a proxy for viral load [18].

Mortality

Only one study reported on the correlation between SARS-CoV-2 Ct values and mortality (Table 1). In 308 hospitalised adult patients in China, average Ct values across multiple time points during the disease course were lower in patients who died compared with those who had recovered or who were still hospitalised at the end of the study (recovered: median 37.43 [interquartile range (IQR) 34.94–38.67]; still hospitalised: median 36.97 [IQR 34.33–38.70]; deceased: median 34.79 [IQR 24.46–37.65]; p < 0.001) [11].

Disease Progression

One study reported that SARS-CoV-2 Ct values at hospital admission negatively correlated with the probability of progression to severe disease in 62 patients who presented with mild-moderate disease (Table 1) [17]. Lower Ct values were observed in specimens from patients who became severely ill during hospitalisation than in those who did not (24 vs. 29; p = 0.008).

Disease Severity

Eleven studies (with numbers of PCR-positive patients ranging from 10 to 308) reported on the correlation between Ct value and disease severity [10–14, 16, 17, 20, 23, 25, 26] and lower Ct values from respiratory samples were associated with more severe disease in seven (64%) of these (Table 2) [11–14, 16, 17, 23]. Three studies (with numbers of PCR-positive patients ranging from 23 to 114) reported on the correlation between viral load determined via Ct values and disease severity [15, 19, 21] and one of these (which included 96 patients) reported that higher viral loads were significantly associated with more severe disease (Table 2) [19]. In a study by Shi et al., mean viral loads were not significantly different between patients with pneumonia, severe pneumonia and without pneumonia, but in two subgroups analysed (female subgroup and C-reactive protein- and serum amyloid A-positive subgroup), a significantly higher viral load was observed in patients with severe pneumonia compared with those without pneumonia [15].

Of the 15 studies reporting on the correlation between Ct value or viral load determined via Ct value and disease severity, 11 were performed in hospitalised patients [10–17, 19, 21, 23] and three included non-hospitalised patients [20, 25, 26]. Of the eleven studies performed in hospitalised patients only, eight (73%) reported an association between Ct value and disease severity [11–14, 16, 17, 19, 23], of which six showed statistical significance [12–14, 17, 19, 23]. None of three studies that included non-hospitalised patients reported that patients with severe disease had higher viral loads compared with those with mild disease [20, 25, 26].

Biochemical and Haematological Markers

All five studies (with numbers of PCR-positive patients ranging from 12 to 308) reporting on the correlation of Ct value with biochemical and haematological markers showed a correlation with at least one marker (Table 2) [11, 13, 14, 18, 22]. Lower Ct values were significantly associated with: higher lactate dehydrogenase (LDH) levels (n = 4) [11, 13, 18, 22]; lower lymphocyte counts and/or percentages (n = 3) [11, 13, 14]; lower T-cell counts (n = 3) [11, 13, 18]; lower serum albumin levels (n = 2) [11, 14]; increased levels of creatinine kinase myocardial band (n = 2) [11, 18]; increased levels of high-sensitivity troponin 1 (n = 2) [11, 13]. Two studies showed that lower Ct values were associated with higher neutrophil counts and/or percentages [11, 14], whereas one study showed a negative correlation [18]. One study in 12 patients showed that C-reactive protein levels negatively correlated with Ct value (r =  − 0.584; p = 0.03) [14], whereas another in 25 patients showed no significant association (p = 0.07) [22]. Associations were also reported between Ct values and angiotensin II [14], IL-2R [13], basophil and eosinophil counts as well as levels of myoglobin, N-terminal pro-brain natriuretic peptide, inorganic phosphorus and calcium [11].

Infectivity

Two studies reported on the correlation between Ct value and infectivity and showed that lower Ct values were associated with higher probability of a positive viral culture (Table 2) [24, 27]. In one study of 155 patients, multivariate logistic regression analyses using time from symptom onset to test, age and gender as independent variables showed a significant effect of Ct value on the culture positivity of samples [OR 0.64 (95% confidence interval 0.49, 0.84), p < 0.001] suggesting that for every one unit increase in Ct, the odds of positive culture decreased by 32% [27]. The results demonstrated that infectivity (defined as growth in cell culture) was significantly reduced when RT-PCR Ct values were > 24 (p < 0.001).

Discussion

The majority of the 18 studies identified in this review reported an association between SARS-CoV-2 Ct values or viral load determined via Ct values and clinical outcomes. Higher Ct values generally correlate with lower viral loads, although Ct value and log viral load may not be directly proportional because of the linear dynamic range of the assay and potential presence of inhibitory factors within clinical samples [28]. Fifteen (79%) of the studies included in this review investigated the direct association of Ct values with clinical outcomes rather than viral load itself, but it was assumed by authors that Ct values are an appropriate surrogate for viral load.

Clinical knowledge of COVID-19 is constantly evolving, with studies being published at a high rate; however, there are currently only limited data relating to the correlation of viral loads with patient prognoses, such as mortality or disease progression. Only one study reported on the association between mortality and SARS-Cov-2 Ct value and showed that lower Ct values correlated with increased risk of death [11], which is consistent with data for previous epidemic-causing coronaviruses [9, 29]. Given the wide range in disease course for COVID-19, the ability to predict which patients are at particularly high risk of deterioration and negative outcomes would be of particular value in the clinical setting; it would therefore be useful to continue to assess the value of SARS-CoV-2 Ct as further data become available.

Eleven studies reported on the correlation of Ct values with symptom severity at presentation and seven of these indicated that lower Ct values were associated with more severe disease. This is consistent with some previous studies of Ct values in other respiratory infections [29-31], although other studies do not show correlation [32]. Whilst correlation between Ct value and disease severity was observed for 73% of studies in hospitalised patients, correlation between Ct or viral load determined via Ct value and disease severity was observed in none of the studies that included patients with COVID-19 who were not hospitalised. Studies in hospitalised patients are unlikely to include asymptomatic patients or those with very mild symptoms, but are likely to be more controlled, making correlations with Ct more probable. The role that symptoms play in viral shedding remains to be determined; in a large study of 5830 patients with COVID-19, which was pre-review at the time that this review was conducted, viral load determined via Ct values in nasal swabs of asymptomatic and symptomatic patients was not statistically different (median 4.7 log10 copies/ml vs. 5.0 log10 copies/ml; p = 0.51) [33].

Ct values were found to correlate with a number of clinical markers. Lower Ct values were associated with elevated LDH levels in all four studies in which it was assessed, which is consistent with reports that elevated LDH can act as an indicator of poor prognosis in patients with COVID-19 [34, 35]. Increased LDH reflects tissue destruction and in interstitial pulmonary fibrosis is seen as an important prognostic marker for lung injury [36]. Lower Ct values were associated with lower lymphocyte levels in all three studies in which they were assessed, which is consistent with reports that lymphopaenia could act as a predictor of higher disease severity in patients with COVID-19 [35, 37]. Similarly, correlation of Ct values was also seen with high-sensitivity troponin I, which has been suggested as a marker of COVID-19 disease progression and mortality [35].

Both studies that investigated the correlation between SARS-CoV-2 Ct values and infectivity showed that samples with higher Ct values had lower culture positivity. It has been shown that following resolution of COVID-19 symptoms, people can have prolonged positive SARS-CoV-2 real-time PCR results for several weeks [38] and, at late time points, Ct values are often very high representing low copies of viral RNA [20]. Therefore, as suggested previously [4], considering Ct values in conjunction with the clinical context of patients may help in patient management decisions such as the need for isolation, use of PPE and testing resources.

To the best of our knowledge, this is the first report to systematically assess the globally available literature data relating to the predictive value of SARS-CoV-2 Ct values; however, it is associated with a number of limitations. The majority of the studies included in this review contained a relatively small number of patients; only four studies included > 100 patients with COVID-19 [11, 15, 18, 24]. The viral load of SARS-CoV-2 is known to vary during the course of infection [10, 11, 13, 19, 20, 39–42]. The time from onset of symptoms to sampling varied between studies and in most of the included studies, varied between patients. Time from onset of symptoms was included as an independent variable in only one of the analyses presented [27] and therefore this may be a confounding factor in many of the studies reported. The type of sample used varied between studies. Sample type is known to affect the Ct values and detected viral load [20, 40], and therefore this may have affected results. The variability within and between the included studies is not consistent with previously reported considerations regarding variability around factors (sample type, workflow, assay) involved in robust viral load measurement using RT-PCR [3]. Reproducible experimental layouts to assess viral load from patient samples are key to establish any correlation to patient outcome.

Conclusions

Reporting of qualitative SARS-CoV-2 test results as positive or negative is sufficient for diagnosis, but the totality of currently available data indicates that the reporting of Ct values may offer benefit to clinicians in making clinical and patient-management decisions for patients with COVID-19 as well as guide infection control, public health and occupational health decisions. However, additional data and prospective studies are required to support this.

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 12 kb)

Systematic literature review to understand whether SARS-CoV-2 cycle threshold (Ct) values correlate with clinical outcomes and therefore whether they could provide valuable information to clinicians as patients infected with SARS-CoV-2 display disparate disease severity.

The results of this review indicate that lower Ct values are potentially associated with worse outcomes in COVID-19 patients.

Low SARS-CoV-2 Ct values correlate with increased probability of progression to severe disease, increased disease severity, increased mortality and presence of biochemical and haematological markers.

While reporting of qualitative SARS-CoV-2 test results as positive or negative is sufficient for diagnosis, the reporting of Ct values may offer benefit to clinicians in making clinical and patient-management decisions for patients with COVID-19 as well as guide infection control, public health and occupational health decisions.