< < < Home | >1.000 full-text links to scientific articles: Transmission | Epidemiology | Virology | Immunology | Diagnosis | Clinical Manifestation | Treatment | Pediatrics | Severe Covid-19 | Comorbidities | Timeline | Publication history
Rapid identification and isolation of infected individuals is crucial. Diagnosis is made using clinical, laboratory and radiological features. As symptoms and radiological findings of COVID-19 are non-specific, SARS-CoV-2 infection has to be confirmed by nucleic acid-based polymerase chain reaction (PCR), amplifying a specific genetic sequence in the virus. Within a few days after the first cases were published, a validated diagnostic workflow for SARS-CoV-2 was presented (Corman 2020), demonstrating the enormous response capacity achieved through coordination of academic and public laboratories in national and European research networks.
There is an interim guidance for laboratory testing for coronavirus disease (COVID-19) suspected human cases, published by WHO on March 19, 2020 (WHO 2020). Several comprehensive up-to-date reviews of laboratory techniques in diagnosing SARS-CoV-2 have been published recently (Chen 2020, Loeffelholz 2020).
In settings with limited resources, no testing capacity should be wasted. Importantly, patients should only be tested if a positive test results in imperative action. This is not the case in the following examples:
- Young people who had contact with an infected person a few days earlier, have mild or moderate symptoms and live alone. They do not need PCR testing, even if they get fever. They’ll remain in at-home quarantine, on sick leave if necessary, until at least 14 days after the onset of symptoms. A test would only be useful to clarify whether they can work in a hospital or other health care facilities after quarantine. Some authorities require at least one negative test (nasopharyngeal) before starting work again (in addition to at least 48 hours of being symptom-free).
- A couple returning from an epidemic hotspot and feel a slight scratch in their throats. As they should remain in quarantine anyway, again, no testing is needed.
- A family of four with typical COVID-19 symptoms. Testing only one (symptomatic) person is sufficient. If the test is positive, it is not necessary to test the other household contacts – as long as they stay at home.
These decisions are not easy to commnicate, particularly to fearful and worried patients.
In other situations, however, a test must be immediately carried out and repeated if necessary, especially for medical professionals with symptoms, but also, for example, in nursing homes, in order to detect an outbreak as quickly as possible.
Even though there are constantly updated recommendations by authorities and institutions of the country’s health system about who should be tested by whom and when: they are constantly changing and have to be constantly adapted to the local epidemiological situation. With decreasing infection rates and increasing test capacities, more patients will certainly be able to be tested in the future, and the indication for a test will be expanded.
SARS-CoV-2 can be detected in different tissues and body fluids. In a study on 1,070 specimens collected from 205 patients with COVID-19, bronchoalveolar lavage fluid specimens showed the highest positive rates (14 of 15; 93%), followed by sputum (72 of 104; 72%), nasal swabs (5 of 8; 63%), fibrobronchoscopy brush biopsy (6 of 13; 46%), pharyngeal swabs (126 of 398; 32%), feces (44 of 153; 29%), and blood (3 of 307; 1%). None of the 72 urine specimens tested positive (Wang X 2020). The virus was also not found in the vaginal fluid of 10 women with COVID-19 (Saito 2020).
It was also not found in two early studies on sperm and breast milk (Song 2020, Scorzolini 2020). However, in a recent case report, SARSCoV2 RNA was detected in breast millk samples from an infected mother on 4 consecutive days. Detection of viral RNA in milk coincided with mild COVID19 symptoms and a SARSCoV2 positive diagnostic test of the newborn (Groß 2020). On rare occasions, however, the virus may be also detected in tears and conjunctival secretions (Xia 2020).
Besides nasopharyngeal swabs, samples can be taken from sputum (if producible), endotracheal aspirate, or bronchoalveolar lavage. It is likely that lower respiratory samples are more sensitive than nasopharyngeal swabs. Especially in seriously ill patients, there is often more virus in the lower than in the upper respiratory tract (Huang 2020). However, there is always a high risk of “aerosolization” and thus the risk that staff members become infected.
However, viral replication of SARS-CoV-2 is very high in upper respiratory tract tissues which is in contrast to SARS-CoV (Wolfel 2020). According to WHO, respiratory material for PCR should be collected from upper respiratory specimens (nasopharyngeal and oropharyngeal swab or wash) in ambulatory patients (WHO 2020). It is preferred to collect specimens from both nasopharyngeal and oropharyngeal swabs which can be combined in the same tube.
Nasopharyngeal swabs – practical issues
It is important to carry out the swab correctly. Both nasopharynx and oropharyngeal swabs have a number of error options that all can lead to false negative results. In addition, protective measures must be taken in order not to endanger the examiner. Every swab carries a high risk of infection! Respiratory protection, protective glasses, gowns and gloves are required. The correct putting on and taking off of the protective clothing should be practiced! Many mistakes occur even when a protective mask is removed. There is a very useful video on protection, preparation, equipment, handling, removing personal protective equipment, etc (Marty 2020).
For the smear, the patient should sit on a chair and put his head slightly back. The examiner should stand at a slightly offset position in order to avoid a possible cough drop. Tell the patient that it can be uncomfortable for a short time. Swabs should be used that are suitable for virus detection and have the most flexible plastic shaft possible. Wooden sticks can inactivate viruses and pose a high risk of injury. The swab should be held between thumb and forefinger, like a pencil, so the end should not touch anything. The posterior wall of the nasopharynx is often reached after 5-7 cm, indicated by a slight resistance. “Nose popules” is not enough! Touching the teeth and tongue should be avoided when taking a throat swab; the swab should be removed from the back wall, directly next to the uvula. Caution with the gag reflex! There is a wealth of practical videos on the internet for the correct execution of the swabs. After appropriate instruction, many patients can perform the swabs themselves.
We have established swabs for patients who are able to do this (most of them!) at home. A courier with the tubes is sent directly to the patient’s home, and the courier places the tubes in front of the door. Direct contact between patient and courier should be avoided. The swab tubes should not be touched by the courier (either put them directly in a bag or collect them with an inverted bag) and should be brought back directly (no mailing!). This requires prior, precise instruction, but is usually quite feasible.
The swabs can be stored dry or in a small amount of NaCl solution; if necessary, this should be clarified with the laboratory beforehand. Quick PCR examination is important, preferably on the same day if possible. Heat is not favorable. In a small study, samples were inactivated by incubation in a water bath at 56°C for 30 minutes. 7/15 samples with low viral values converted to false negative. Longer storage also led to false negative results (Pan 2020).
Lower respiratory specimens may include sputum (if produced) and/or endotracheal aspirate or bronchoalveolar lavage in patients with more severe respiratory disease. However, a high risk of aerosolization should be considered (adhere strictly to infection prevention and control procedures). Additional clinical specimens may be collected as COVID-19 virus has been detected in blood and stool (see below).
Gathering specimens from nasopharyngeal and throat swabs can cause discomfort for patients and put health-care workers at risk. In contrast to many respiratory viruses, SARS-CoV-2 is present in saliva and several studies have shown that posterior oropharyngeal (deep throat) saliva samples are feasible and more acceptable to patients and healthcare workers (To 2020, Yu 2020). Throat washing may be used for monitoring due to its non-invasiveness and reliability. Throat washing was harvested by asking patients to oscillate over the posterior pharyngeal wall with 20 ml sterile normal saline. After 5-10 seconds, they spit out the normal saline from their throat to a sterile container. In 24 paired throat washings and nasopharyngeal swabs specimens, the positive testing rate of throat washing was much higher than that of swabs (Guo WL 2020).
Although no cases of transmission via fecal-oral route have yet been reported, there is also increasing evidence that SARS-CoV-2 is actively replicating in the gastrointestinal tract. Several studies showed prolonged presence of SARS-CoV-2 viral RNA in fecal samples (Chen 2020, Wu 2020). Combining results of 26 studies, a rapid review revealed that 54% of those patients tested for fecal RNA were positive. Duration of fecal viral shedding ranged from 1 to 33 days after a negative nasopharyngeal swab (Gupta 2020).
These studies have raised concerns about whether patients with negative pharyngeal swabs are truly virus-free, or sampling of additional body sites is needed. However, the clinical relevance of these finding remains unclear and there is one study that did not detect infectious virus from stool samples, despite having high virus RNA concentrations (Wolfel 2020). Therefore, the presence of nucleic acid alone cannot be used to define viral shedding or infection potential (Atkinson 2020). For many viral diseases including SARS-CoV or MERS-CoV, it is well known that viral RNA can be detected long after the disappearance of infectious virus.
SARS-CoV-2 is rarely detected in blood (Wang W 2020, Wolfel 2020). What about transmission risk associated with transfusions? In a screening study of 7,425 blood donations in Wuhan, plasma samples were found positive for viral RNA from 2 asymptomatic donors (Chang 2020).
Another study from Korea found seven asymptomatic blood donors who were later identified as COVID-19 confirmed cases. None of 9 recipients of platelets or red blood cell transfusions tested positive for SARS-CoV-2 RNA. Transfusion transmission of SARS-CoV-2 was considered to be unlikely (Kwon 2020). As with feces, it remains unclear whether detectable RNA in the blood signifies infectivity.
Several different qPCR-based detection kits are available as labs worldwide have customized their PCR tests for SARS-CoV-2, using different primers targeting different sections of the virus’s genetic sequence. A review of different assays and diagnostic devices was recently published (Loeffelholz 2020). A protocol for real-time (RT)-PCR assays for the detection of SARS-CoV-2 for two RdRp targets (IP2 and IP4) is described at https://www.who.int/docs/default-source/coronaviruse/real-time-rt-pcr-assays-for-the-detection-of-sars-cov-2-institut-pasteur-paris.pdf?sfvrsn=3662fcb6_2
Novel real-time RT-PCR assays targeting the RNA-dependent RNA polymerase (RdRp)/helicase, spike and nucleocapsid genes of SARS-CoV-2 may help to improve the laboratory diagnosis of COVID-19. Compared to the reported RdRp-P2 assay which is used in most European laboratories, these assays do not cross-react with SARS-CoV in cell culture and may be more sensitive and specific (Chan JF 2020).
If not, the limits of detection of six commercial kits differ substantially (up to 16-fold difference), with the poorest limits likely leading to false-negative results when RT–PCR were used to detect SARS-CoV-2 infection (Wang X 2020). According to the authors, manufacturers should analyze the existing problems according to the clinical application and further improve their products.
A qualitative PCR (“positive or negative”) is usually sufficient in routine diagnostics. Quantification of viral RNA is currently (still) only of academic interest.
False positive results are rare. However, they do occur. Though the analytical specificity of these tests is usually 100%, the clinical specificity is less, due to contamination (a significant problem for NAT procedures) and/or human error in the handling of samples or data (very hard to eliminate entirely). As seen with serology (see below), these false positive results will have substantial-to-large effects when prevalence is low (Andrew Cohen, personal communication).
Another problem of any qualitative PCR is false negative results which have many causes. Incorrect smears are particularly common, but laboratory errors also occur. In a review of 7 studies with a total of 1,330 respiratory samples the authors estimated the false-negative rate of RT-PCR by day since infection. Over the 4 days before symptom onset, the rate decreased from 100% to 67%. On the day of symptom onset (day 5), the rate was 38%, decreased to 20% (day 8) and then began to increase again, from 21% (day 9) to 66% (day 21). If clinical suspicion is high, infection should not be ruled out on the basis of RT-PCR alone. The false-negative rate is lowest 3 days after onset of symptoms, or approximately 8 days after exposure (Kurcirka 2020). Figure 1 illustrates PCR and antibody detection during SARS
Several studies have shown that asymptomatic patients also have positive PCR results and can transmit the virus (Bai 2020, Cereda 2020, Rothe 2020). Viral shedding may begin 2 to 3 days before the appearance of the first symptoms. Analyzing a total of 414 throat swabs in 94 patients, the highest viral load in throat swabs was found at the time of symptom onset. Infectiousness started from 2.3 days (95% CI, 0.8–3.0 days) before symptom onset and peaked at 0.7 days before symptom onset (He 2020). Infectiousness was estimated to decline quickly within 7 days.
Figure 1. Timeline of diagnostic markers for detection of SARS-CoV-2. AB = Antibody.
In a cohort of 113 symptomatic patients, the median duration of detection of SARS-CoV-2 RNA was 17 days (interquartiles 13-22 days), measured from the onset of the disease. In some patients, the PCR was positive even longer: male gender and a severe course (invasive mechanical ventilation) were independent risk factors for prolonged shedding (Xu K 2020).
Recent reports from patients have repeatedly gained much media attraction, showing positive results after repeated negative PCR and clinical recovery (Lan 2020, Xiao AT 2020, Yuan 2020). These studies raise the question of re-activation or re-infection of COVID-19 (see below, clinical chapter). Currently, the results are much more likely due to methodological problems (Li 2020). At low virus levels, especially during the last days of an infection, the viral load can fluctuate and sometimes be detectable, sometimes not (Wolfel 2020). Reactivation, and also a rapid reinfection would be very unusual for coronaviruses.
Quantification of viral load
Several studies have evaluated the SARS-CoV-2 viral load in different specimens. In a small prospective study, the viral load in nasal and throat swabs obtained from 17 symptomatic patients was analyzed in relation to day-of-onset of any symptoms (Zou 2020). Of note, the viral load detected in the asymptomatic patients was similar to that in the symptomatic patients, which suggests the transmission potential of asymptomatic or minimally symptomatic patients.
In another study on 82 infected individuals, the viral loads in throat swab and sputum samples peaked at around 5–6 days after symptom onset, ranging from around 79,900 copies/ml in the throat to 752,000 copies per mL in sputum (Pan 2020). In a study on oropharyngeal saliva samples, unlike SARS, patients with COVID-19 had the highest viral load near presentation, which could account for the fast-spreading nature of this epidemic (To 2020). The median viral load in posterior oropharyngeal saliva or other respiratory specimens at presentation was 5.2 log10 copies per mL (IQR 4.1-7.0) in this study. In a total of 323 samples from 76 patients, the average viral load in sputum (17,429 copies/test) was significantly higher than in throat swabs (2,552 copies) and nasal swabs (651 copies). Viral load was higher in the early and progressive stages than in the recovery stage (Yu 2020). According to a recently published study, viral shedding may already begin 2-3 days before the appearance of the first symptoms and the infectiousness profile may more closely resemble that of influenza than of SARS (He 2020).
Higher viral loads might be associated with severe clinical outcomes. In a study evaluating serial samples from 21 mild and 10 severe cases (Liu 2020), mild cases were found to have an early viral clearance, with 90% of these patients repeatedly testing negative on RT-PCR by day 10 post-onset. By contrast, all severe cases still tested positive at or beyond day 10 post-onset. However, large and prospective trials are needed to evaluate the role of SARS-CoV-2 viral load as a marker for assessing disease severity and prognosis.
Should we measure the viral load? Probably yes. It may be helpful in clinical practice. A positive RT-qPCR result may not necessarily mean the person is still infectious or that they still have any meaningful disease. The RNA could be from non-viable virus and/or the amount of live virus may be too low for transmission. RT-qPCR provides quantification by first reverse transcribing RNA into DNA, and then performing qPCR where a fluorescence signal increases proportionally to the amount of amplified nucleic acid. The test is positive if the fluorescence reaches a specified threshold within a certain number of PCR cycles (Ct value, inversely related to the viral load). Many qPCR assays use a Ct cut-off of 40, allowing detection of very few starting RNA molecules. Some experts (Tom 2020) suggest using this Ct value or to calculate viral load which can help refine decision-making (shorter isolation etc). Unfortunately, there is still wide heterogeneity and inconsistency of the standard curves calculated from studies that provided Ct values from serial dilution samples and the estimated viral loads. According to other experts, precautions are needed when interpreting the Ct values of SARS-CoV-2 RT-PCR results shown in COVID-19 publications to avoid misunderstanding of viral load kinetics for comparison across different studies (Han 2020).
Test systems other than PCR
Point-of-care tests are easy-to-use devices to facilitate testing outside of laboratory settings (Joung 2020). They are eagerly awaited. On May 6, the FDA granted an emergency use authorization for a clustered regularly interspaced short palindromic repeats (CRISPR)-based SARS-CoV-2 fluorescent assay marketed by Sherlock Biosciences. This method gives results in an hour and has successfully diagnosed 12 positive and 5 negative COVID-19 patients, with at least 2 of 3 replicates scoring positive in infected persons. However, its use still remains limited to laboratories certified to perform high-complexity tests. On May 6, FDA has also authorized Quidel’s Sofia 2 SARS Antigen Fluorescent Immunoassay. This test must be read on a dedicated analyzer and detects SARS-CoV-2 nucleocapsid protein from nasopharyngeal swabs in 15 min. According to the manufacturer, the assay demonstrated acceptable clinical sensitivity and detected 47/59 infections (80%). Unfortunately, no peer-reviewed papers have been published to date. Given the low sensitivity, these tests may mainly serve as an early tool to identify infectious individuals very rapidly, i.e. in the emergency unit. They will not work as a general diagnostic test.
Diagnosis in the setting of shortage of PCR test kits
There is no doubt that the overall goal must be to detect as many infections as possible. However, in many countries, a shortage of supply test kits does not meet the need of a growing infected population. Thus, pooled samples are often used to save material. Several samples are examined together. Only when such a pooled sample is positive, will the samples be examined individually.
Some studies have also investigated whether the diagnosis in high prevalence periods and countries cannot be made without PCR detection if necessary. A large retrospective case-control study from Singapore has evaluated predictors for SARS-CoV-2 infection, using exposure risk factors, demographic variables, clinical findings and clinical test results (Sun 2020). Even in the absence of exposure risk factors and/or radiologic evidence of pneumonia, clinical findings and tests can identify subjects at high risk of COVID-19. Low leukocytes, low lymphocytes, higher body temperature, higher respiratory rate, gastrointestinal symptoms and decreased sputum production were strongly associated with a positive SARS-CoV-2 test. However, those preliminary prediction models are sensitive to the local epidemiological context and phase of the global outbreak. They make only sense during times of high incidence. In other words: if I see a patient during the peak of an epidemic, presenting with fever, cough, shortness of breath and lymphopenia, I can be almost sure that this patient suffers from COVID-19. During phases, when the incidence is lower, these models do not make sense. There is no doubt that the nucleic acid test serves as the gold standard method for confirmation of infection. Whenever PCR is available, PCR should be performed.
Serology (antibody testing)
Detection of past viral infections by looking for antibodies an infected person has produced will be among the most important goals in the fight against the COVID-19 pandemic. Antibody testing is multipurpose: these serological assays are of critical importance to determine seroprevalence, previous exposure and identify highly reactive human donors for the generation of convalescent serum as therapeutic. They will support contact tracing and screening of health care workers to identify those who are already immune. How many people really got infected, in how many did the virus escape the PCR diagnosis, and for what reasons, how many patients are asymptomatic, and what is the real mortality rate in a defined population? Only with comprehensive serology testing (and well-planned epidemiological studies) will we be able to answer these questions and reduce the ubiquitous undisclosed number in the current calculations. Several investigations are already underway in a wide variety of locations worldwide.
In recent weeks it has become clear that serology testing may also aid as a complementary diagnostic tool for COVID-19. The seroconversion of specific IgM and IgG antibodies were observed as early as the 4th day after symptom onset. Antibodies can be detected in the middle and later stages of the illness (Guo 2020, Xiao 2020). If a person with a highly suspicious COVID-19 remains negative by PCR testing and if symptoms are ongoing for at least several days, antibodies may be helpful and enhance diagnostic sensitivity.
However, antibody testing is not trivial. The molecular heterogeneity of SARS-CoV-2 subtypes, imperfect performance of available tests and cross-reactivity with seasonal CoVs have to be considered (reviews: Krammer 2020, Torres 2020).
Several groups are working towards producing these tests (Amanat 2020), some of them are already commercially available. A nice overview of the different platforms, including binding assays such as enzyme-linked immunosorbent assays (ELISAs), lateral flow assays, or Western blot–based assays is given by Krammer 2020. In addition, functional assays that test for virus neutralization, enzyme inhibition, or bactericidal assays can also inform on antibody-mediated immune responses. Many caveats and open questions with regard to antibody testing are also discussed.
Antibody testing usually focuses on antigens (proteins). In the case of SARS-CoV-2, different Enzyme-Linked Immunosorbent Assay (ELISA) kits based on recombinant nucleocapsid protein and spike protein are used (Loeffelholz 2020). The SARS-CoV-2 spike protein seems to be the best target. However, which part of the spike protein to use is less obvious and there is a lot hanging on the uniqueness of the spike protein. The more unique it is, the lower the odds of cross-reactivity with other coronaviruses—false positives resulting from immunity to other coronaviruses. Cross reactivity to other coronaviruses can be challenging. So called confirmation tests (usually neutralization tests) can be used to reduce false positive testings.
Even with a very high specificity of 99% and above, especially in low-prevalence areas, the informative value is limited and a high rate of false positive tests can be assumed. An example: With a specificity of 99%, it is expected that one test out of 100 is positive. In a high prevalence setting, this is less relevant. However, if a person is tested in a low prevalence setting, the likelihood that a positive test is really positive (the positive predictive value, i.e. the number of really positive tests divided by the number of all positive tests) is low. In a population with a given prevalence of 1%, the predictive value would only be 50%! Current estimates from Iceland, a well-defined but unselected population, still have shown a relatively constant rate of around 0.8% in March 2020 (Gudbjartsson 2020). Even in apparently more severely affected countries, the infection rates are only slightly higher. If we assume an infection number of 183,000 (May 30) for Germany, a country with one of the world’s largest number of infections, and assume that the number of undetected infections is about 5 times as high, then the prevalence in Germany is overall still around 1%. Almost every hundredth is infected, every second positive test would be false positive, even with a specificity of 99%. General antibody screening in the population will therefore produce a fairly high rate of false positive tests.
Average sensitivity and specificity of FDA-approved antibody tests is 84.9% and 98.6%, respectively. Given variable prevalence of COVID-19 (1%-15%) in different parts, statistically the positive predictive value will be as low as 30% to 50% in areas with low prevalence (Mathur 2020).
Indication in clinical practice
But, outside clinical studies: who should be tested now? Testing actually makes no sense for patients with a previous, proven COVID-19 disease. However, it can still be done if, for example, you want to validate a test. In addition to those involved in health care or working in other professions with a high risk of transmission, such testing can also be useful in order to identify possible contact persons retrospectively. However, we only measure antibodies when the testing result has consequences. Patients should be informed about the low positive predictive value, especially in those without any evidence of prior disease or exposition to COVID-19. In these patients, antibody testing is not recommended. Outside epidemiological hot spots, virtually everybody is still seronegative. If positive, the predictive value is too low.
Kinetics of antibodies
Serologic responses to coronaviruses are only transient. Antibodies to other human, seasonal coronaviruses may disappear even after a few months. Preliminary data suggest that the profile of antibodies to SARS-CoV-2 is similar to SARS-CoV (Xiao DAT 2020). For SARS-CoV, antibodies were not detected within the first 7 days of illness, but IgG titre increased dramatically on day 15, reaching a peak on day 60, and remained high until day 180 from when it declined gradually until day 720. IgM was detected on day 15 and rapidly reached a peak, then declined gradually until it was undetectable on day 180 (Mo 2006). As with other viruses, IgM antibodies occur somewhat earlier than IgG antibodies which are more specific. IgA antibodies are relatively sensitive but less specific (Okba 2020).
The first larger study on the host humoral response against SARS-CoV-2 has shown that these tests can aid to the diagnosis of COVID-19, including subclinical cases (Guo 2020). In this study, IgA, IgM and IgG response using an ELISA-based assay on the recombinant viral nucleocapsid protein was analyzed in 208 plasma samples from 82 confirmed and 58 probable cases (Guo 2020). The median duration of IgM and IgA antibody detection were 5 days (IQR 3-6), while IgG was detected on day 14 (IQR 10-18) after symptom onset, with a positive rate of 85%, 93% and 78% respectively. The detection efficiency by IgM ELISA was higher than that of PCR after 5.5 days of onset of symptoms. In another study of 173 patients, the seroconversion rates (median time) for IgM and IgG were 83% (12 days) and 65% (14 days), respectively. A higher titer of antibodies was independently associated with severe diseases (Zhao 2020).
In some patients, IgG occurs even faster than IgM. In a study on seroconversion patterns of IgM and IgG antibodies, the seroconversion time of IgG antibody was earlier than IgM. IgG antibody reached the highest concentration on day 30, while IgM antibody peaked on day 18, but then began to decline (Qu 2020). The largest study to date reported on acute antibody responses in 285 patients (mostly non-severe COVID-19). Within 19 days after symptom onset, 100% of patients tested positive for antiviral IgG. Seroconversion for IgG and IgM occurred simultaneously or sequentially. Both IgG and IgM titers plateaued within 6 days after seroconversion. The median day of seroconversion for both IgG and IgM was 13 days post-symptom onset. No association between plateau IgG levels and clinical characteristics was found (Long 2020).
Do all asymptomatic individuals develop antibodies? Probably not. Among five asymptomatic cases, only one generated SARS-CoV-2 specific antibody responses within the first 4 weeks (Yongchen 2020).
Taken together, antibody testing is not only an epidemiological tool. It also may help in the diagnosis. It will be seen in the coming months how the human antibody response to SARS-CoV-2 evolves over time and how this response and titres correlate with immunity. It is also conceivable that in some patients (e.g. those with immunodeficiency), the antibody response remains reduced.
Chest computed tomography
Computed tomography (CT) can play a role in both diagnosing and assessment of disease extent and follow-up. Chest CT has a relatively high sensitivity for diagnosis of COVID-19 (Ai 2020, Fang 2020). However, around half of patients may have a normal CT during the first 1-2 days after symptom onset (Bernheim 2020). On the other hand, it became clear very early in the current pandemic that a considerable proportion of subclinical patients (scans done before symptom onset) may already have pathological CT findings (Chan 2020, Shi 2020). In some of these patients showing pathological CT findings evident for pneumonia PCR in nasopharyngeal swabs was still negative (Xu 2020). On the other hand, half of the patients who later develop CT morphologically visible pneumonia can still have a normal CT in the first 1-2 days after the symptoms appear (Bernheim 2020).
However, one should not overestimate the value of chest CT. The recommendation by some Chinese researchers to include CT as an integral part in the diagnosis of COVID-19 has led to harsh criticism, especially from experts in Western countries. The Chinese studies have been exposed to significant errors and shortcomings. In view of the high effort and also because of the risk of infection for the staff, many experts strictly reject the general CT screening in SARS-CoV-2 infected patients or in those with suspicion (Hope 2020, Raptis 2020). According to the recommendation of the British Radiology Society, which made attempts to incorporate CT into diagnostic algorithms for COVID-19 diagnostics, the value of CT remains unclear – even if a PCR is negative or not available (Nair 2020, Rodrigues 2020). A chest CT should only be performed if complications or differential diagnoses are considered (Raptis 2020).
In blinded studies, radiologists from China and the United States have attempted to differentiate COVID-19 pneumonia from other viral pneumonia. The specificity was quite high, the sensitivity nuch lower (Bai 2020). A recent metaanalysis found a high sensitivity but low specificity (Kim 2020). The sensitivity of CT was affected by the distribution of disease severity, the proportion of patients with comorbidities, and the proportion of asymptomatic patients. In areas with low prevalence, chest CT had a low positive predictive value (1.5-30.7%).
If pathological, images usually show bilateral involvement, with multiple patchy or ground-glass opacities (GGO) with subpleural distribution in multiple bilateral lobes. Lesions may display significant overlap with those of SARS and MERS (Hosseiny 2020).
A systematic review of imaging findings in 919 patients found bilateral multilobar GGO with a peripheral or posterior distribution, mainly in the lower lobes and less frequently within the right middle lobe as the most common feature (Salehi 2020). In this review, atypical initial imaging presentation of consolidative opacities superimposed on GGO were found in a smaller number of cases, mainly in the elderly population. Septal thickening, bronchiectasis, pleural thickening, and subpleural involvement were less common, mainly in the later stages of the disease. Pleural effusion, pericardial effusion, lymphadenopathy, cavitation, CT halo sign, and pneumothorax were uncommon (Salehi 2020).
The evolution of the disease on CT is not well understood. However, with a longer time after the onset of symptoms, CT findings are more frequent, including consolidation, bilateral and peripheral disease, greater total lung involvement, linear opacities, “crazy-paving” pattern and the “reverse halo” sign (Bernheim 2020). Some experts have proposed that imaging can be sorted into four different phases (Li M 2020). In the early phase, multiple small patchy shadows and interstitial changes emerge. In the progressive phase, the lesions increase and enlarge, developing into multiple GGOs as well as infiltrating consolidation in both lungs. In the severe phase, massive pulmonary consolidations and “white lungs” are seen, but pleural effusion is rare. In the dissipative phase, the GGOs and pulmonary consolidations were completely absorbed, and the lesions began to change into fibrosis.
In a longitudinal study analyzing 366 serial CT scans in 90 patients with COVID-19 pneumonia, the extent of lung abnormalities progressed rapidly and peaked during illness days 6-11 (Wang Y 2020). The predominant pattern of abnormalities after symptom onset in this study was ground-glass opacity (45-62%). As pneumonia progresses, areas of lesions enlarge and developed into diffuse consolidations in both lungs within a few days (Guan 2020).
Most patients discharged had residual disease on final CT scans (Wang Y 2020). Studies with longer follow-up are needed to evaluate long-term or permanent lung damage including fibrosis, as is seen with SARS and MERS infections. Pulmonary fibrosis is expected to be the main factor leading to pulmonary dysfunction and decline of quality of life in COVID-19 survivors after recovery. More research is needed into the correlation of CT findings with clinical severity and progression, the predictive value of baseline CT or temporal changes for disease outcome, and the sequelae of acute lung injury induced by COVID-19 (Lee 2020).
Of note, chest CT is not recommended in all COVID-19 patients, especially in those who are well enough to be sent home or those with only short symptomatic times (< 2 days). In case of COVID-19, a large number of patients with infection or suspected infection swarm into the hospital. Consequently, the examination workload of the radiology department increases sharply. Because the transmission route of SARS-CoV-2 is through respiratory droplets and close contact transmission, unnecessary CT scan should be avoided. An overview of the prevention and control of the COVID-19 epidemic in the radiology department is given by An et al.
Ultrasound, PET and other techniques
Some experts have postulated that lung ultrasound (LUS) may be helpful, since it can allow the concomitant execution of clinical examination and lung imaging at the bedside by the same doctor (Buonsenso 2020, Soldati 2020). Potential advantages of LUS include portability, bedside evaluation, safety and possibility of repeating the examination during follow-up. Experience especially from Italy with lung ultrasound as a bedside tool has improved evaluation of lung involvement, and may also reduce the use of chest x-rays and CT. A point scoring system is employed by region and ultrasound pattern (Vetrugno 2020). However, the diagnostic and prognostic role of LUS in COVID-19 is uncertain.
In patients with neurological symptoms, brain MRI is often performed. In 27 patients, the most common imaging finding was cortical signal abnormalities on FLAIR images (37%), accompanied by cortical diffusion restriction or leptomeningeal enhancement (Kandemirli 2020). However, the complex clinical course including comorbidities, long ICU stay with multidrug regimens, respiratory distress with hypoxia episodes can all act as confounding factors and a clear cause-effect relationship between COVID-19 infection and MRI findings will be hard to establish.
Ai T, Yang Z, Hou H, et al. Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases. Radiology. 2020 Feb 26:200642. PubMed: https://pubmed.gov/32101510. Full-text: https://doi.org/10.1148/radiol.2020200642
Amanat F, Nguyen T, Chromikova V, et al. Serological assay to detect SARS-CoV-2 seroconversion in humans. Full-text: https://doi.org/10.1101/2020.03.17.20037713
An P, Ye Y, Chen M, Chen Y, Fan W, Wang Y. Management strategy of novel coronavirus (COVID-19) pneumonia in the radiology department: a Chinese experience. Diagn Interv Radiol. 2020 Mar 25. PubMed: https://pubmed.gov/32209526. Full-text: https://doi.org/10.5152/dir.2020.20167
Atkinson B, Petersen E. SARS-CoV-2 shedding and infectivity. Lancet. 2020 Apr 15. pii: S0140-6736(20)30868-0. PubMed: https://pubmed.gov/32304647. Full-text: https://doi.org/10.1016/S0140-6736(20)30868-0
Bai HX, Hsieh B, Xiong Z, et al. Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT. Radiology. 2020:200823. [PMID: 32155105] doi:10.1148/radiol.2020200823
Bai HX, Hsieh B, Xiong Z, et al. Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT. Radiology. 2020 Mar 10:200823. Full-text: https://doi.org/10.1148/radiol.2020200823
Bernheim A, Mei X, Huang M, Yang Y, et al. Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection. Radiology. 2020 Feb 20:200463. https://doi.org/10.1148/radiol.2020200463.
Buonsenso D, Pata D, Chiaretti A. COVID-19 outbreak: less stethoscope, more ultrasound. Lancet Respir Med. 2020 Mar 20. PubMed: https://pubmed.gov/32203708. Full-text: https://doi.org/10.1016/S2213-2600(20)30120-X
Cereda D, Tirani M, Rovida F, et al. The early phase of the COVID-19 outbreak in Lombardy, Italy. https://arxiv.org/ftp/arxiv/papers/2003/2003.09320.pdf. Accessed 27 March 2020.
Chan JF, Yip CC, To KK, et al. Improved molecular diagnosis of COVID-19 by the novel, highly sensitive and specific COVID-19-RdRp/Hel real-time reverse transcription-polymerase chain reaction assay validated in vitro and with clinical specimens. J Clin Microbiol. 2020 Mar 4. PubMed: https://pubmed.gov/32132196. Full-text: https://doi.org/10.1128/JCM.00310-20
Chan JF, Yuan S, Kok KH, et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet. 2020 Feb 15;395(10223):514-523. PubMed: https://pubmed.gov/31986261. Full-text: https://doi.org/10.1016/S0140-6736(20)30154-9
Chang L, Zhao L, Gong H, Wang L, Wang L. Severe Acute Respiratory Syndrome Coronavirus 2 RNA Detected in Blood Donations. Emerg Infect Dis. 2020 Apr 3;26(7). PubMed: https://pubmed.gov/32243255. Full-text: https://doi.org/10.3201/eid2607.200839
Chen C, Gao G, Xu Y, et al. SARS-CoV-2–Positive Sputum and Feces After Conversion of Pharyngeal Samples in Patients With COVID-19. Ann Intern Med. 2020, March 30. Full-text: https://annals.org/aim/fullarticle/2764036/sars-cov-2-positive-sputum-feces-after-conversion-pharyngeal-samples
Cheng MP, Papenburg J, Desjardins M, et al. Diagnostic Testing for Severe Acute Respiratory Syndrome-Related Coronavirus-2: A Narrative Review. Ann Intern Med. 2020 Apr 13. pii: 2764737. PubMed: https://pubmed.gov/32282894. Full-text: https://doi.org/10.7326/M20-1301.
Corman VM, Landt O, Kaiser M, et al. Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. Euro Surveill. 2020 Jan;25(3). PubMed: https://pubmed.gov/31992387. Full-text: https://doi.org/10.2807/1560-7917.ES.2020.25.3.2000045
Deng Y, Lei L, Chen Y, Zhang W. The potential added value of FDG PET/CT for COVID-19 pneumonia. Eur J Nucl Med Mol Imaging. 2020 Mar 21. PubMed: https://pubmed.gov/32198615. Full-text: https://doi.org/10.1007/s00259-020-04767-1
Fang Y, Zhang H, Xie J, et al. Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR. Radiology. 2020 Feb 19:200432. PubMed: https://pubmed.gov/32073353. Full-text: https://doi.org/10.1148/radiol.2020200432
Guan W, Liu J, Yu C. CT Findings of Coronavirus Disease (COVID-19) Severe Pneumonia. AJR Am J Roentgenol. 2020 Mar 24:W1-W2. PubMed: https://pubmed.gov/32208010. Full-text: https://doi.org/10.2214/AJR.20.23035
Gudbjartsson DF, Helgason A, Jonsson H, et al. Spread of SARS-CoV-2 in the Icelandic Population. N Engl J Med. 2020 Apr 14. PubMed: https://pubmed.gov/32289214. Full-text: https://doi.org/10.1056/NEJMoa2006100.
Guo L, Ren L, Yang S, et al. Profiling Early Humoral Response to Diagnose Novel Coronavirus Disease (COVID-19). Clin Infect Dis. 2020 Mar 21. PubMed: https://pubmed.gov/32198501. Full-text: https://doi.org/10.1093/cid/ciaa310
Guo WL, Jiang Q, Ye F, et al. Effect of throat washings on detection of 2019 novel coronavirus. Clin Infect Dis. 2020 Apr 9. pii: 5818370. PubMed: https://pubmed.gov/32271374. Full-text: https://doi.org/10.1093/cid/ciaa416.
Gupta S, Parker J, Smits S, Underwood J, Dolwani S. Persistent viral shedding of SARS-CoV-2 in faeces – a rapid review. Colorectal Dis. 2020 May 17. PubMed: https://pubmed.gov/32418307. Full-text: https://doi.org/10.1111/codi.15138
Han MS, Byun JH, Cho Y, Rim JH. RT-PCR for SARS-CoV-2: quantitative versus qualitative. Lancet Infect Dis. 2020 May 20:S1473-3099(20)30424-2. PubMed: https://pubmed.gov/32445709. Full-text: https://doi.org/10.1016/S1473-3099(20)30424-2
Hao W. Clinical Features of Atypical 2019 Novel Coronavirus Pneumonia with an initially Negative RT-PCR Assay. J Infect. 2020 Feb 21. PubMed: https://pubmed.gov/32092387. Full-text: https://doi.org/10.1016/j.jinf.2020.02.008
He X, Lau EHY, Wu P, et al. Temporal dynamics in viral shedding and transmissibility of COVID-19. Nat Med. 2020 Apr 15. pii: 10.1038/s41591-020-0869-5. PubMed: https://pubmed.gov/32296168. Full-text: https://doi.org/10.1038/s41591-020-0869-5.
Hope MD, Raptis CA, Henry TS. Chest Computed Tomography for Detection of Coronavirus Disease 2019 (COVID-19): Don´t Rush the Science. Ann Intern Med. 2020 Apr 8. pii: 2764546. PubMed: https://pubmed.gov/32267912. Full-text: https://doi.org/10.7326/M20-1382.
Hosseiny M, Kooraki S, Gholamrezanezhad A, Reddy S, Myers L. Radiology Perspective of Coronavirus Disease 2019 (COVID-19): Lessons From Severe Acute Respiratory Syndrome and Middle East Respiratory Syndrome. AJR Am J Roentgenol. 2020 Feb 28:1-5. PubMed: https://pubmed.gov/32108495. Full-text: https://doi.org/10.2214/AJR.20.22969
Huang Y, Chen S, Yang Z, et al. SARS-CoV-2 Viral Load in Clinical Samples of Critically Ill Patients. Am J Respir Crit Care Med. 2020 Apr 15. PubMed: https://pubmed.gov/32293905. Full-text: https://doi.org/10.1164/rccm.202003-0572LE
Joung J, Ladha A, Saito M, et al. Point-of-care testing for COVID-19 using SHERLOCK diagnostics. Full-text: https://www.medrxiv.org/content/10.1101/2020.05.04.20091231v1
Kandemirli SG, Dogan L, Sarikaya ZT, et al. Brain MRI Findings in Patients in the Intensive Care Unit with COVID-19 Infection. Radiology. 2020 May 8:201697. PubMed: https://pubmed.gov/32384020. Full-text: https://doi.org/10.1148/radiol.2020201697
Kim H, Hong H, Yoon SH. Diagnostic Performance of CT and Reverse Transcriptase-Polymerase Chain Reaction for Coronavirus Disease 2019: A Meta-Analysis. Radiology. 2020 Apr 17:201343. PubMed: https://pubmed.gov/32301646. Full-text: https://doi.org/10.1148/radiol.2020201343
Krammer F, Simon V. Serology assays to manage COVID-19. Science 15 May 2020. Full-text: https://doi.org10.1126/science.abc1227
Kucirka LM, Lauer SA, Laeyendecker O, et al. Variation in False-Negative Rate of Reverse Transcriptase Polymerase Chain Reaction–Based SARS-CoV-2 Tests by Time Since Exposure. Annals Int Med 2020, May 13. Full-text: https://www.acpjournals.org/doi/10.7326/M20-1495
Kwon SY, Kim EJ, Jung YS, Jang JS, Cho NS. Post-donation COVID-19 identification in blood donors. Vox Sang. 2020 Apr 2. PubMed: https://pubmed.gov/32240537. Full-text: https://doi.org/10.1111/vox.12925
Lee EYP, Ng MY, Khong PL. COVID-19 pneumonia: what has CT taught us? Lancet Infect Dis. 2020 Apr;20(4):384-385. PubMed: https://pubmed.gov/32105641. Full-text: https://doi.org/10.1016/S1473-3099(20)30134-1
Li M, Lei P, Zeng B, et al. Coronavirus Disease (COVID-19): Spectrum of CT Findings and Temporal Progression of the Disease. Acad Radiol. 2020 Mar 20. pii: S1076-6332(20)30144-6. PubMed: https://pubmed.gov/32204987. Full-text: https://doi.org/10.1016/j.acra.2020.03.003
Li Y, Xia L. Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management. AJR Am J Roentgenol. 2020 Mar 4:1-7. PubMed: https://pubmed.gov/32130038. Full-text: https://doi.org/10.2214/AJR.20.22954
Li Y, Yao L, Li J, et al. Stability issues of RT-PCR testing of SARS-CoV-2 for hospitalized patients clinically diagnosed with COVID-19. J Med Virol. 2020 Mar 26. PubMed: https://pubmed.gov/32219885. Full-text: https://doi.org/10.1002/jmv.25786
Liu Y, Yan LM, Wan L, et al. Viral dynamics in mild and severe cases of COVID-19. Lancet Infect Dis. 2020 Mar 19. PubMed: https://pubmed.gov/32199493. Full-text: https://doi.org/10.1016/S1473-3099(20)30232-2
Loeffelholz MJ, Tang YW. Laboratory diagnosis of emerging human coronavirus infections – the state of the art. Emerg Microbes Infect. 2020 Dec;9(1):747-756. PubMed: https://pubmed.gov/32196430. Full-text: https://doi.org/10.1080/22221751.2020.1745095
Long Q, Liu B, Deng H et al. Antibody responses to SARS-CoV-2 in patients with COVID-19. Nat Med 2020. Full-text: https://doi.org/10.1038/s41591-020-0897-1
Marty M, Chen K, Verrill KA. How to Obtain a Nasopharyngeal Swab Specimen. NEJM 2020. April 17, 2020. Full-text: https://www.nejm.org/doi/full/10.1056/NEJMvcm2010260?query=featured_home
Mathur F, Mathur S. Antibody Testing For Covid-19: Can It Be Used As A Screening Tool In Areas With Low Prevalence? American Journal of Clinical Pathology 2020, May 15. Ful-text: https://academic.oup.com/ajcp/advance-article/doi/10.1093/ajcp/aqaa082/5837473
Mo H, Zeng G, Ren X, et al. Longitudinal profile of antibodies against SARS-coronavirus in SARS patients and their clinical significance. Respirology. 2006 Jan;11(1):49-53. PubMed: https://pubmed.gov/16423201. Full-text: https://doi.org/10.1111/j.1440-1843.2006.00783.x
Nair A, Rodrigues JCL, Hare S, et al. A British Society of Thoracic Imaging statement: considerations in designing local imaging diagnostic algorithms for the COVID-19 pandemic. Clin Radiol. 2020 May;75(5):329-334. PubMed: https://pubmed.gov/32265036. Full-text: https://doi.org/10.1016/j.crad.2020.03.008.
Okba NMA, Muller MA, Li W, et al. Severe Acute Respiratory Syndrome Coronavirus 2-Specific Antibody Responses in Coronavirus Disease 2019 Patients. Emerg Infect Dis. 2020 Apr 8;26(7). PubMed: https://pubmed.gov/32267220.
Pan Y, Long L, Zhang D, et al. Potential false-negative nucleic acid testing results for Severe Acute Respiratory Syndrome Coronavirus 2 from thermal inactivation of samples with low viral loads. Clin Chem. 2020 Apr 4. pii: 5815979. PubMed: https://pubmed.gov/32246822. Full-text: https://doi.org/10.1093/clinchem/hvaa091
Pan Y, Zhang D, Yang P, Poon LLM, Wang Q. Viral load of SARS-CoV-2 in clinical samples. Lancet Infect Dis. 2020 Feb 24. PubMed: https://pubmed.gov/32105638. Full-text: https://doi.org/10.1016/S1473-3099(20)30113-4
Qin C, Liu F, Yen TC, Lan X. (18)F-FDG PET/CT findings of COVID-19: a series of four highly suspected cases. Eur J Nucl Med Mol Imaging. 2020 Feb 22. PubMed: https://pubmed.gov/32088847. Full-text: https://doi.org/10.1007/s00259-020-04734-w
Qiu L, Liu X, Xiao M, et al. SARS-CoV-2 is not detectable in the vaginal fluid of women with severe COVID-19 infection. Clin Infect Dis 2020, April 2. Full-text: https://doi.org/10.1093/cid/ciaa375
Qu J, Wu C, Li X. Profile of IgG and IgM antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Clinical Infectious Diseases. 2020. 27 April 2020. ciaa489, https://doi.org/10.1093/cid/ciaa489. Full-text: https://academic.oup.com/cid/advance-article/doi/10.1093/cid/ciaa489/5825506
Raptis CA, Hammer MM, Short RG, et al. Chest CT and Coronavirus Disease (COVID-19): A Critical Review of the Literature to Date. AJR Am J Roentgenol. 2020 Apr 16:1-4. PubMed: https://pubmed.gov/32298149. Full-text: https://doi.org/10.2214/AJR.20.23202
Rodrigues JCL, Hare SS, Edey A, et al. An update on COVID-19 for the radiologist – A British society of Thoracic Imaging statement. Clin Radiol. 2020 May;75(5):323-325. PubMed: https://pubmed.gov/32216962. Full-text: https://doi.org/10.1016/j.crad.2020.03.003
Rothe C, Schunk M, Sothmann P, et al. Transmission of 2019-nCoV Infection from an Asymptomatic Contact in Germany. N Engl J Med. 2020 Mar 5;382(10):970-971. PubMed: https://pubmed.gov/32003551. Full-text: https://doi.org/10.1056/NEJMc2001468
Saito M, Adachi E, Yamayoshi S, et al. Gargle lavage as a safe and sensitive alternative to swab samples to diagnose COVID-19: a case report in Japan. Clin Infect Dis. 2020 Apr 2. pii: 5815296. PubMed: https://pubmed.gov/32241023. Full-text: https://doi.org/10.1093/cid/ciaa377
Salehi S, Abedi A, Balakrishnan S, Gholamrezanezhad A. Coronavirus Disease 2019 (COVID-19): A Systematic Review of Imaging Findings in 919 Patients. AJR Am J Roentgenol. 2020 Mar 14:1-7. PubMed: https://pubmed.gov/32174129. Full-text: https://doi.org/10.2214/AJR.20.23034
Scorzolini L, Corpolongo A, Castilletti C, Lalle E, Mariano A, Nicastri E. Comment of the potential risks of sexual and vertical transmission of Covid-19 infection. Clin Infect Dis. 2020 Apr 16. pii: 5820874. PubMed: https://pubmed.gov/32297915. Full-text: https://doi.org/10.1093/cid/ciaa445
Shi H, Han X, Jiang N, et al. Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study. Lancet Infect Dis. 2020 Apr;20(4):425-434. PubMed: https://pubmed.gov/32105637. Full-text: https://doi.org/10.1016/S1473-3099(20)30086-4
Soldati G, Smargiassi A, Inchingolo R, et al. Is there a role for lung ultrasound during the COVID-19 pandemic? J Ultrasound Med. 2020 Mar 20. PubMed: https://pubmed.gov/32198775. Full-text: https://doi.org/10.1002/jum.15284
Song C, Wang Y, Li W, et al. Absence of 2019 Novel Coronavirus in Semen and Testes of COVID-19 Patients. Biol Reprod. 2020 Apr 16. pii: 5820830. PubMed: https://pubmed.gov/32297920. Full-text: https://doi.org/10.1093/biolre/ioaa050
Sun Y, Koh V, Marimuthu K, et al. Epidemiological and Clinical Predictors of COVID-19. Clin Infect Dis. 2020 Mar 25. pii: 5811426. PubMed: https://pubmed.gov/32211755. Full-text: https://doi.org/10.1093/cid/ciaa322
To KK, Tsang OT, Leung WS, et al. Temporal profiles of viral load in posterior oropharyngeal saliva samples and serum antibody responses during infection by SARS-CoV-2: an observational cohort study. Lancet Infect Dis. 2020 Mar 23. pii: S1473-3099(20)30196-1. PubMed: https://pubmed.gov/32213337. Full-text: https://doi.org/10.1016/S1473-3099(20)30196-1
Tom MR, Mina MJ. To Interpret the SARS-CoV-2 Test, Consider the Cycle Threshold Value. Clin Infect Dis. 2020 May 21:ciaa619. PubMed: https://pubmed.gov/32435816. Full-text: https://doi.org/10.1093/cid/ciaa619
Torres R, Rinder HM. Double-Edged Spike: Are SARS-CoV-2 Serologic Tests Safe Right Now? Am J Clin Pathol. 2020 Apr 23. pii: 5823978. PubMed: https://pubmed.gov/32322898. Full-text: https://doi.org/10.1093/ajcp/aqaa071
Vetrugno L, Bove T, Orso D, et al. Our Italian Experience Using Lung Ultrasound for Identification, Grading and Serial Follow-up of Severity of Lung Involvement for Management of Patients with COVID-19. Echocardiography. 2020 Apr 1. PubMed: https://pubmed.gov/32239532. Full-text: https://doi.org/10.1111/echo.14664
Wang W, Xu Y, Gao R, et al. Detection of SARS-CoV-2 in Different Types of Clinical Specimens. JAMA. 2020 Mar 11. pii: 2762997. PubMed: https://pubmed.gov/32159775. Full-text: https://doi.org/10.1001/jama.2020.3786
Wang X, Yao H, Xu X, et al. Limits of Detection of Six Approved RT-PCR Kits for the Novel SARS-coronavirus-2 (SARS-CoV-2). Clin Chem. 2020 Apr 13. pii: 5819547. PubMed: https://pubmed.gov/32282874.
Wang Y, Dong C, Hu Y, et al. Temporal Changes of CT Findings in 90 Patients with COVID-19 Pneumonia: A Longitudinal Study. Radiology. 2020 Mar 19:200843. PubMed: https://pubmed.gov/32191587. Full-text: https://doi.org/10.1148/radiol.2020200843
WHO. Laboratory testing for coronavirus disease (COVID-19) in suspected human cases: interim guidance, 19 March 2020. Full-text: https://apps.who.int/iris/handle/10665/331501
Wolfel R, Corman VM, Guggemos W, et al. Virological assessment of hospitalized patients with COVID-2019. Nature. 2020 Apr 1. pii: 10.1038/s41586-020-2196-x. PubMed: https://pubmed.gov/32235945. Full-text: https://doi.org/10.1038/s41586-020-2196-x
Wu Y, Guo C, Tang L, et al. Prolonged presence of SARS-CoV-2 viral RNA in faecal samples. Lancet Gastroenterol Hepatol. 2020 Mar 19. pii: S2468-1253(20)30083-2. PubMed: https://pubmed.gov/32199469. Full-text: https://doi.org/10.1016/S2468-1253(20)30083-2
Xia J, Tong J, Liu M, Shen Y, Guo D. Evaluation of coronavirus in tears and conjunctival secretions of patients with SARS-CoV-2 infection. J Med Virol. 2020;1-6. https://doi.org/10.1002/jmv.25725.
Xiang F, Wang X, He X, et al. Antibody Detection and Dynamic Characteristics in Patients with COVID-19. Clin Infect Dis. 2020 Apr 19. pii: 5822173. PubMed: https://pubmed.gov/32306047. Full-text: https://doi.org/10.1093/cid/ciaa461
Xiao AT, Tong YX, Zhang S. False-negative of RT-PCR and prolonged nucleic acid conversion in COVID-19: Rather than recurrence. J Med Virol. 2020 Apr 9. PubMed: https://pubmed.gov/32270882. Full-text: https://doi.org/10.1002/jmv.25855
Xiao DAT, Gao DC, Zhang DS. Profile of Specific Antibodies to SARS-CoV-2: The First Report. J Infect. 2020 Mar 21. pii: S0163-4453(20)30138-9. PubMed: https://pubmed.gov/32209385. Full-text: https://doi.org/10.1016/j.jinf.2020.03.012
Xie X, Zhong Z, Zhao W, Zheng C, Wang F, Liu J. Chest CT for Typical 2019-nCoV Pneumonia: Relationship to Negative RT-PCR Testing. Radiology. 2020 Feb 12:200343. PubMed: https://pubmed.gov/32049601. Full-text: https://doi.org/10.1148/radiol.2020200343
Xu J, Wu R, Huang H, et al. Computed Tomographic Imaging of 3 Patients With Coronavirus Disease 2019 Pneumonia With Negative Virus Real-time Reverse-Transcription Polymerase Chain Reaction Test. Clin Infect Dis. 2020 Mar 31. pii: 5814104. PubMed: https://pubmed.gov/32232429. Full-text: https://doi.org/10.1093/cid/ciaa207
Xu K, Chen Y, Yuan J, et al. Factors associated with prolonged viral RNA shedding in patients with COVID-19. Clin Infect Dis. 2020 Apr 9. pii: 5818308. PubMed: https://pubmed.gov/32271376. Full-text: https://doi.org/10.1093/cid/ciaa351
Yongchen Z, Shen H, Wang X, et al. Different longitudinal patterns of nucleic acid and serology testing results based on disease severity of COVID-19 patients. Emerg Microbes Infect. 2020 Apr 20:1-14. PubMed: https://pubmed.gov/32306864. Full-text: https://doi.org/10.1080/22221751.2020.1756699
Yu F, Yan L, Wang N, et al. Quantitative Detection and Viral Load Analysis of SARS-CoV-2 in Infected Patients. Clin Infect Dis. 2020 Mar 28. PubMed: https://pubmed.gov/32221523. Full-text: https://doi.org/10.1093/cid/ciaa345
Yuan J, Kou S, Liang Y, Zeng J, Pan Y, Liu L. PCR Assays Turned Positive in 25 Discharged COVID-19 Patients. Clin Infect Dis. 2020 Apr 8. pii: 5817588. PubMed: https://pubmed.gov/32266381. Full-text: https://doi.org/10.1093/cid/ciaa398
Zhao J, Yuan Q, Wang H, et al. Antibody responses to SARS-CoV-2 in patients of novel coronavirus disease 2019. Clin Infect Dis. 2020 Mar 28. PubMed: https://pubmed.gov/32221519. Full-text: https://doi.org/10.1093/cid/ciaa344
Zou L, Ruan F, Huang M, et al. SARS-CoV-2 Viral Load in Upper Respiratory Specimens of Infected Patients. N Engl J Med. 2020 Mar 19;382(12):1177-1179. PubMed: https://pubmed.gov/32074444. Full-text: https://doi.org/10.1056/NEJMc2001737