Introduction

Population mobility between countries as well as between regions exacerbates the spread of COVID-19, resulting in unprecedented pressure from imported cases1. By 24:00 on June 2, 2020, a total of 1,762 overseas-imported cases had been reported in China, which were distributed in 28 provinces and cities in the country2. COVID-19 has become a global health emergency that seriously threatens human health.

Clinical manifestations of COVID-19 vary greatly, from the absence of symptoms to severe dyspnoea or even death. Old age, obesity, diabetes complications, hypertension, coronary artery disease and tumours are risk factors for COVID-19 aggravation and related death3,4. Populations with these characteristics have received great attention from scholars and clinicians. However, all populations are susceptible to SARS-CoV-2, and the number of non-severe patients is enormous5, which accounts for approximately 81% of the total number of COVID-19 patients. These non-severe patients are likely to be ignored due to milder symptoms, fewer complications, stronger body tolerance and fewer medical demands. Moreover, reports on the clinical characteristics, disease classification and disease turnover of these patients are relatively rare6,7.

Due to the complexity of COVID-19, experts have suggested classifying COVID-19 infection into mild, moderate, severe and critically severe types based on the clinical manifestations, CT imaging and laboratory outcomes of the patients8,9. As neither the mild type nor the moderate type belongs to an emergent condition, observational and treatment protocols for these patients are basically the same. Although CT imaging is able to differentiate between these two types, the selection of treatment protocols for these two types seems to have no direct relation with the classification outcomes. Whether it is necessary to differentiate patients with mild COVID-19 from those moderate disease according to CT images remains clinically complex.

Confronted with such complexity, as well as a lack of sufficient research on patients with non-severe COVID-19, we retrospectively analysed the clinical characteristics on admission, disease progression during treatment and clinical outcomes of patients with mild and moderate overseas-imported COVID-19, and the necessity of the differentiation between mild COVID-19 and moderate COVID-19 was also discussed.

Results

Clinical manifestations

A total of 2171 suspected patients were screened, and 53 were finally confirmed with COVID-19 and hospitalized (2117 with a negative result and one with severe COVID-19 were excluded according to nucleic acid detection) (Fig.Ā 1). The baseline data of the included patients are summarized in Table 1. All patients were imported from overseas, and 52.4% of the mild group and 46.9% of the moderate group were from the UK (Pā€‰=ā€‰0.695), with the rest from France, America, Serbia, Spain and Thailand. The mild group and the moderate group had no significant differences in age, sex ratio, history of contact with confirmed or suspected COVID-19 patients, complications, or history of smoking.

Figure 1
figure 1

Cohort diagram of this study.

Table 1 Clinical characteristics of the participants with COVID-19.

Fever, pharyngalgia or dry pharynx and tussiculation were the most common symptoms among the included patients. The moderate group showed a significantly higher breathing frequency in the resting state on admission than the mild group (18.0 [17.0ā€“20.0] vs. 18.0 [18.0ā€“19.0], Pā€‰=ā€‰0.042).

Laboratory and imaging examination

The count and percentage of lymphocytes in the moderate group were significantly lower than those in the mild group (Pā€‰=ā€‰0.010 and Pā€‰=ā€‰0.003, respectively; Table 2). The neutrophil percentage of the moderate group was significantly higher than that of the mild group (Pā€‰<ā€‰0.001), whereas no significant difference in the neutrophil count was observed (Pā€‰=ā€‰0.068). The NLR of the moderate group was significantly higher than that of the mild group (Pā€‰<ā€‰0.001). Compared with the mild group, the moderate group also exhibited higher levels of ALT, creatinine, fibrinogen, PCT, CRP and ESR but a lower HDL level.

Table 2 Laboratory findings of patients with COVID-19.

In the moderate group, 28 patients (87.5%) exhibited GGO, 14 (43.8%) exhibited consolidation, 17 (53.1%) exhibited local lesions and 22 (68.8%) exhibited unilateral lesions. FigureĀ 2 shows some typical examples of the CT images. The median CT score of the moderate group was 21,2,3. In contrast, the mild group did not exhibit characteristic changes according to the CT images.

Figure 2
figure 2

Chest CT findings of COVID-19 pneumonia. (a) GGO; (b) consolidation; (c) multifocal lesions; (d) bilateral lesions.

Treatment and outcomes

The proportion of patients who received chloroquine or arbidol antiviral treatment in the moderate group was higher than that in the mild group (Table 3). In the moderate group, 12 patients (37.5%) received oral administration of moxifloxacin or cefaclor for bacterial infection, whereas in the mild group, no patients received antibiotic treatment. Antibody detection at a 3-d interval showed earlier positive expression of IgG in the moderate group than in the mild group (Pā€‰=ā€‰0.014). No characteristic emergence of positive IgM was detected (41 patients (77.3%) were not detected with positive IgM even by 28 d after discharge). During hospitalization, 6 patients in the moderate group exhibited aggravated pneumonia, which met the diagnostic criterion for severe pneumonia. These patients were subjected to intranasal oxygen inhalation and then transferred to other centres for further treatment. Among the 6 patients, 2 needed mechanical ventilation after the emergence of ARDS (Fig.Ā 3), and 2 patients exhibited secondary infections, with one presenting with herpangina and the other complicated with influenza virus type A. Except for the 6 severe patients, all patients in the two groups were cured and discharged. The two groups did not show significant differences in the time span from disease onset to symptom improvement or the hospital stay. No sequelae were observed in the two groups at the time of discharge or at 28 d after discharge. Additionally, no significant difference in hospitalization costs was observed between the two groups (Pā€‰>ā€‰0.05).

Table 3 Treatments and outcomes of patients with COVID-19.
Figure 3
figure 3

Kaplanā€“Meier survival analysis demonstrated increased severe case conversion in the moderate group (pā€‰<ā€‰0.043 by the log-rank test).

Intra-moderate group comparison

In this study, 6 patients with moderate COVID-19 exhibited disease aggravation during treatment, and they were compared with the remaining patients in the same group (nā€‰=ā€‰26). The results are summarized in Table 4.

Table 4 Laboratory findings of the moderate subgroups according to different prognoses.

These patients presented with a lower lymphocyte count than the patients whose prognoses were better (1.13 [0.82ā€“1.72] vs. 1.86 [1.34ā€“2.55]; pā€‰=ā€‰0.033). Among the 6 patients, 3 had lymphopenia, and 2 had lymphocyte counts near the lower threshold of the normal reference range at the time of admission. In addition, they presented with significantly higher NLR (2.82 [1.68ā€“4.77] vs. 1.62 [1.15ā€“2.06]; pā€‰=ā€‰0.049), CRP (20.92 [15.04ā€“52.20] vs. 1.47 [0.27ā€“4.13]; pā€‰=ā€‰0.002) and LDH (206.6 [181.7ā€“300.4] vs. 175.7 [143.9ā€“201.8]; pā€‰=ā€‰0.041).

Discussion

COVID-19 patients exhibit varied symptoms. In this study, the initial symptoms of the non-severe imported cases could be fever and shivering, coughing and expectoration, chest distress and pain, dry and painful pharynx, myalgia and arthralgia, loss of appetite, diarrhoea, dizziness, headache, acratia and dispiritedness, anosmia, or ageusia, which were basically consistent with those reported in local cases10,11. Compared with the mild group, the moderate group did not show significant differences in the primary symptoms, except for a slightly higher proportion of the patients presenting with fever, which was similar to that reported by Sun12. The moderate group exhibited a faster breathing frequency in a resting state, which was the only different sign to differentiate moderate patients from mild patients. In terms of treatment and short-term prognosis, the demand for antiviral drugs and antibiotics in the moderate group was greater than that in the mild group in this study. In addition, all patients exhibiting exacerbated COVID-19 were from the moderate group. These findings suggest that early identification of patients with moderate COVID-19 should be needed and that different treatment methods should be adopted for them.

In this study, the variations in blood cells in the moderate group included a lower lymphocyte count, a decreased lymphocyte percentage, an increased NLR and an increased neutrophil percentage compared with those in the mild group. Zhang et al. reported a noticeable decrease in the count and percentage of lymphocytes in patients with severe COVID-19, and thus, they recommended using these changes as important warning signals for disease exacerbation13. The variations in lymphocytes observed in this study suggest that the influence of the virus on the immune function of the patient exists at an early stage rather than being limited to severe cases. To date, the underlying mechanisms and dynamics of the cellular immunologic response after SARS-CoV-2 infection remain unknown. SARS-CoV-2 infection causes cytokine storms and reduced lymphocytes (particularly CD4ā€‰+ā€‰and CD8ā€‰+ā€‰T cells), as well as suppression of CD4ā€‰+ā€‰T cell production of IFN-Ī³, which might be associated with the severity of COVID-1914. An increase in the NLR was another noticeable variation in the moderate group in this study. The NLR is a well-known marker for systemic inflammation and infection and has been utilized as a predictive index for bacterial infection (including pneumonia). The change in the NLR is associated with the severity of COVID-1915,16,17. In this study, patients with moderate COVID-19 presented with an increased neutrophil count (although the difference was not significant; pā€‰=ā€‰0.068) and an elevated neutrophil percentage compared with those of patients with mild COVID-19. These phenomena might be consequences either of aggravated inflammation and stress response18 or of the mutual effect of innate immunity and adaptive immunity in vivo19. Changes in the classification of leukocytes may reflect the beginning of inflammation and immune reactions in vivo, which also affects patientsā€™ clinical outcomes. Elevated pro-inflammatory factors, such as TNF-Ī± and IL-6, are closely associated with reduced lymphocytes, and severe lymphocyte reduction tends to result in non-resolution of inflammation20, an increased ICU hospitalization rate21 and increased mortality. Lymphocyte reduction is particularly striking among patients who die during hospitalization22,23.

The inflammatory reaction level after SARS-CoV-2 infection also affects patientsā€™ prognoses. In this study, the levels of CRP, PCT, fibrinogen and ESR in the moderate group were higher than those in the mild group. These findings were consistent with those reported in the literature24, which indicate that inflammatory reactions occur at different stages of COVID-19 progression and that inflammatory reactions in moderate COVID-19 are stronger than those in the mild type. Increased CRP and D-dimer and decreased fibrinogen were some of the primary characteristic abnormalities25. In this study, however, the fibrinogen level increased in the moderate group compared with that in the mild group. Presumably, in Zheng et al.ā€™s study25, severe COVID-19 complicated with coagulation disorders led to disseminated intravascular coagulation in some patients, and a decreased fibrinogen level was a depletion manifestation. In this study, the level of D-dimer, as a fibrinolytic product, did not noticeably increase in the moderate group, and the moderate patients did not present with coagulation disorders of the coexistence of coagulation and hyperfibrinolysis, which suggested that fibrinogen did not enter a depletion state. Fibrinogen has been proven to be a biological marker of the severity of pneumonia, and its increase is one of the manifestations of SARS-CoV-2-induced inflammation26,27. In addition, in the moderate group, the PCT level and neutrophil percentage were higher than those in the mild group. An increased PCT level occurred in 3%-35% of COVID-19 patients28,29. Generally, an increase in the PCT level suggests bacterial infection rather than viral infection. Approximately 6%-15% of COVID-19 patients exhibited complications of infection of bacteria and fungi, and 20% were complicated with other respiratory tract infections30,31,32,33. Whether the increased PCT level in the moderate group of this study was related to complications caused by other pathogens remains to be verified.

The emergence of specific and neutralizing antibodies might be able to prevent the invasion of the virus into host cells; however, antibodies cannot be detected in all infected patients34. In this study, all patients with moderate COVID-19 were positive for IgG antibody before hospital discharge, whereas IgG positivity was not detected in 9 patients in the mild group, even by the end of the follow-up. Among all included patients, only 12 were positive for IgM antibodies. Similar findings have also been reported by Lee et al.35. In this study, the median time span from disease onset to the emergence of positive IgG in the moderate group was 13 d, which was earlier than that in the mild group (17Ā days). However, such a difference was not observed in IgM. Previous studies have shown that IgG positivity appears at 10ā€“15 d after SARS-CoV-2 infection32,34. In addition, positive antibody expression appeared at 1ā€“2 w after disease onset; severe and critically severe patients exhibited a higher IgM level and a lower IgG level than mild patients36. Patients with severe COVID-19 presented with a strong antibody response within 2 w after disease onset, and the antibody titre values in these patients were significantly higher than those in patients with non-severe COVID-19, which suggested that antibodies might be generated within 2 w after infection37. Although we found that the emergence of positive IgG in the moderate group occurred earlier than that in the mild group, we did not quantitatively analyse the antibody level. Overall, the production of antibodies is the consequence of the joint influence of the degree of inflammatory reactions and the autoimmune response, and a decreased antibody level in critically severe patients might be associated with a compromised immune response. To date, the significance of antibody emergence remains unclear. The emergence of antibodies has no direct relation with virus removal, and some COVID-19 patients may even exhibit long-term coexistence of positive antibodies and viral PCR results, which brings confusion and worry to the accuracy of clinical judgement and the value of vaccine research38.

In this study, 87.5% of the moderate cases exhibited GGO according to CT imaging, most of whom presented with a unilateral single focus. This finding was consistent with that reported in the literature39,40. However, Shi et al.41 and Bernheim et al.42 reported that most COVID-19 patients from Wuhan, China, exhibited multiple bilateral lesions. This inconsistency might be due to the younger age and non-severe disease of the patients involved in this study. In terms of dynamic imaging outcomes, COVID-19 patients present with a peak of variations approximately 10 d after disease onset, which suggests that the CT findings of COVID-19 are dynamic; therefore, timely rechecks are helpful for accurate and objective understanding of the progression of the disease43.

In addition, in the moderate group of this study, 6 patients presented with disease aggravation during treatment. The analysis of these patients would be helpful for clinicians to identify cases at potential risk of aggravation into severe and critically severe types in a timely manner. Our analytical results showed that most of these patients already had lymphopenia or a lymphocyte count near the lower threshold of the reference range at the time of admission; moreover, these cases were complicated with significantly higher NLRs and CRP and LDH levels than the remaining moderate cases. These findings indicated more severe inflammatory reactions and tissue injury in these patients. According to the literature20,21, the LDH levels of patients with severe and critically severe COVID-19 are significantly increased, whereas those of patients with non-severe COVID-19 remain at a normal level. Although our findings did not show a significant difference in LDH between the mild cases and the moderate cases, they did suggest that non-severe cases with increased LDH at an early stage had the risk of aggravation into severe and critical types.

This study has some limitations. First, it was conducted at a single centre and retrospective. With the alleviation of the epidemic situation in Beijing, the number of confirmed patients is significantly reduced. For this reason, the sample size of this study was relatively small. Second, the follow-up time of this study was short. Third, all patients involved in this study were imported cases, and most of them were young. These features of the patients might cause bias in the explanation of the obtained results. Last, the qualitative detection of antibodies in this study could not reflect the absolute antibody levels in vivo.

In conclusion, patients with moderate COVID-19 show more noticeable inflammatory reactions, more pulmonary imaging characteristics and earlier protective antibody expression than mild patients. Their turnovers are worse. Early identification of different types of COVID-19 followed by adoption of different treatment therapies is useful for predicting the progression of the disease and realizing reasonable allocation of medical resources.

Patients and methods

Study design

A total of 53 patients with imported COVID-19 who received treatment at Beijing Xiaotangshan Designated Hospital between March 16 and April 30, 2020, were consecutively included in this study.

The procedures of this study were performed in accordance with the Declaration of Helsinki and approved by the Ethics Committee of Beijing Xiaotangshan Designated Hospital (2020-LSD-04). Because COVID-19 infections were subject to emergent public health events, written informed consent was waived by the committee.

Subjects

COVID-19 was diagnosed by detecting SARS-CoV-2 RNA in throat swab specimens with a virus nucleic acid detection kit (Shanghai BioGerm Medical Biotechnology Co., Ltd., Shanghai, China)8. Based on vital signs, symptoms, complications and CT imaging outcomes, the cases were classified into mild, moderate, severe and critically severe types. The mild type was defined as mild clinical symptoms without pneumonia manifestations according to imaging examination. The moderate type was defined as fever and respiratory symptoms with pneumonia manifestations. Severe COVID-19 was defined as a case that met any of the following criteria: (1) shortness of breath with a respiration rate (RR)ā€‰ā‰„ā€‰30 times/min; (2) oxygen saturation in a resting stateā€‰ā‰¤ā€‰93%; (3) arterial partial pressure of oxygen (PaO2)/oxygen concentration (FiO2)ā€‰ā‰¤ā€‰300Ā mmHg (1Ā mmHgā€‰=ā€‰0.133Ā kPa); and (4) progression of the lesions within 24ā€“48Ā hā€‰>ā€‰50% according to pulmonary imaging examination. Critically severe COVID-19 was defined as a case meeting any of the following criteria: (1) respiratory failure, for which a ventilator is necessitated; (2) shock; and (3) complications of functional failure of other organs, for which intensive care unit (ICU) monitoring and treatment are needed.

Treatment and data collection

The detailed data of the non-severe patients were collected, which included demographic information, medical history, history of COVID-19-related contact, symptoms, signs, severity assessments on admission and clinical manifestations. Peripheral blood and arterial samples on admission and during hospitalization were collected. The measurement indices included the neutrophil count, neutrophil percentage, lymphocyte count, lymphocyte percentage, neutrophil/lymphocyte ratio (NLR), haemoglobin concentration, blood platelet count (PLT), blood gas analysis, alanine transaminase (ALT), aspartate aminotransferase (AST), lactate dehydrogenase (LDH), total bilirubin, creatinine, high density lipoprotein (HDL), low density lipoprotein (LDL), total cholesterol, glucose, cardiac troponin I, lactic acid, prothrombin time (PT), activated partial thromboplastin time (APTT), fibrinogen, D-dimer, C-reactive protein (CRP), procalcitonin (PCT), and erythrocyte sedimentation rate (ESR). SARS-CoV-2-specific antibodies (serum immunoglobulin G (IgG) and immunoglobulin M (IgM)) were qualitatively detected. All patients were subjected to low-dose CT scanning on admission. The recorded data also included laboratory examination outcomes, imaging examination outcomes, and treatment methods, such as antivirals, antibiotics and breathing support, as well as the patientā€™s state at discharge. The survival state and self-care status of the patients were followed up via phone contact at 28 d after discharge. Their hospital stay and costs were also calculated.

CT image review

All CT images were independently reviewed by two experienced radiologists. Imaging variations were defined as follows: (1) ground-glass opacification (GGO), hazy increased lung attenuation with preservation of bronchial and vascular margins; and (2) consolidation, opacification with obscuration of margins of vessels and airway walls. The degree of involvement of each lung lobe was classified based on the following criteria: (1) 0%; (2) minimal, 1%ā€“25%; (3) mild, 26%ā€“50%; (4) moderate, 51%ā€“75%; and 5) severe, 76%ā€“100%. According to the involvement, 0 (0%), 1 (minimal), 2 (mild), 3 (moderate), and 4 (severe) points were assigned to the lobe. Finally, the overall score of the lungs was obtained by summing the scores of the five lobes, which ranged from 0 to 20 points39.

Statistical analysis

Data were processed with SPSS 22.0. Continuous variables are presented as the median and interquartile range (IQR), and their distribution normality was tested using the Kolmogorovā€“Smirnov method. Categorical data are presented as the number of cases and percentage. The rank sum test was used for continuous variables, and the chi-square test or Fisher exact test was used for categorical variables. Pā€‰<ā€‰0.05 was considered statistically significant.