Clinical Characteristics and CT Manifestations of 143 Patients With 2019 Novel Coronavirus Disease (COVID-19) in Taizhou City, Zhejiang, China

doi:10.21203/rs.3.rs-23614/v1

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Clinical Characteristics and CT Manifestations of 143 Patients With 2019 Novel Coronavirus Disease (COVID-19) in Taizhou City, Zhejiang, China

https://doi.org/10.21203/rs.3.rs-23614/v1

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Background In December 2019, the first case of pneumonia associated with the SARS-CoV-2 was found in Wuhan and rapidly spread throughout China, so data are needed on the affected patients. The purpose of our study was to find the clinical manifestations and CT features of COVID-19.

Methods All patients with COVID-19 in Taizhou city were retrospectively included and divided into non-severe group and severe group according to the severity of the disease. The clinical manifestations, laboratory examinations and imaging features of COVID-19 patients were analyzed, and the differences between the two groups were compared.

Results A total of 143 laboratory-confirmed cases were included in the study, including 110 non-severe patients and 33 severe patients. The median age of patients was 47 (range 4–86 years). Fever (73.4%) and cough (63.6%) were the most common initial clinical symptoms. Between two groups of cases, the results of aspartate transaminase, creatine kinase and lactate dehydrogenase, serum albumin, CPR, glomerular filtration rate, amyloid protein A, fibrinogen, calcitonin level and oxygen partial pressure, red protein, IL – 10, absolute value of CD3, CD4, CD8 were different, and the difference was statistically significant (P < 0.05). On admission, the CT showed that the lesions were mostly distributed in the external lung or under the pleura (135 cases (98%)), and most of lesions presented as patchy (81%), heterogeneous (73%) and mixed density (63%) shadow. Consolidation (68% vs 41%), bronchial inflation signs (59% vs 41%), and bronchiectasis (71% vs 39%) were more common in the severe group.

Conclusions Most of the cases of COVID-19 in Taizhou have mild symptoms and no death. In addition to clinical symptoms, some laboratory tests (such as absolute values of CD4 and CD8) and CT findings can be used to assess the severity of the disease.

Virology

COVID-19

COVID-19 pneumonia

Clinical characteristics

CT manifestations

In December 2019, the first pneumonia cases of unknown origin were reported in Wuhan[1–3], capital of China's Hubei province. Later, the pathogen was identified as a new enveloped RNA-Beta-coronavirus, which was considered to have developmental similarity with SARS-CoV[4]. On February 18, 2020, WHO named the virus COVID-19[5, 6].Most of those infected patients presented as acute viral pneumonia, and there is clear evidence of human-to-human transmission[7–10].

On January 30, 2020, WHO declared COVID-19 the sixth public health emergency of international concern (PHEIC).As of March 6, 2020, there were 97,769 laboratory-confirmed cases worldwide[11] .The statistics of SARS-CoV(severe acute respiratory syndrome coronavirus), which appeared in 2003, showed that there were 8,422 infected people[12, 13]. And in 2012, MERS-CoV(middle east respiratory syndrome coronavirus) was also prevalent in the Middle East mainly[14–17]. It's clear that COVID-19 has become a globally widespread disease[11, 18, 19].

Due to the migration during the Spring Festival, many Taizhou residents in Wuhan returned, created opportunities for the virus. Taizhou, a city in Zhejiang province, is listed among the top three cities in the province for the number of confirmed cases. There were a number of studies on the clinical characteristics of patients in Wuhan[20, 21]. Given the rapid spread of COVID-19, we believe that the latest analysis of cases outside Wuhan may help to grasp the overall characteristics of transmission and further determine the clinical characteristics and severity of the disease. Therefore, this paper presents the results of our study on the clinical characteristics and imaging manifestations of COVID-19 infection in Taizhou city, hoping to better understand the characteristics of this disease.

Study participants and design

This retrospective multicenter cohort study was approved by the Institutional Review Board of each participating hospital. Given the urgency of the data, written informed consent was waived. From January 17 to March 11, 2020, patients were successively enrolled in four hospitals in Taizhou city. The four hospitals include a municipal hospital and three county-level hospitals, namely Taizhou Hospital Enze district, Wenling First People's Hospital, Sanmen People's Hospital and Tiantai People's Hospital. All patients were admitted after laboratory confirmation of COVID-19 infection. The clinical outcomes were monitored up till February 26, 2020, the final date of follow-up.

Data source

We obtained electronic medical records and data of laboratory-confirmed COVID-19 infections in four hospitals from January 17 to March 11, 2020. The diagnostic criteria were positive tests by high throughput real-time reverse transcription polymerase chain reaction (RT-PCR) of nasal swabs and pharyngeal swabs recommended by the WHO interim guidelines. As all the confirmed diseases in Taizhou were treated in the public health center of Enze district of Taizhou hospital, the medical records of some patients before admission were provided by the doctors in their respective hospitals. The cases from Wenling People's Hospital, Sanmen People's Hospital and Tiantai People's Hospital were sent to the Taizhou Hospital researchers by the participants in the hospital. Only laboratory-confirmed cases were included in the study.

All clinical data were reviewed and extracted by a team of experienced respiratory clinicians in Taizhou hospital. When record the data in an Excel spreadsheet, if the data is missing, a request is made to the hospital where the case is located, and the hospital participant then contacts the attending clinician. We extracted recent exposure history, clinical symptoms or signs, and laboratory examination results on admission from the electronic medical record. Imaging examinations include chest X-ray or computed tomography (CT). All patients admitted to the CT were evaluated and reviewed by senior radiologists in Taizhou hospital. Any major differences between two reviewers shall be resolved by discussion with the third panel of reviewers. All laboratory examinations are performed according to the patient's clinical care needs, including a complete blood count, blood chemical analysis, coagulation test, assessment of liver and kidney function, as well as electrolytes, c-reactive protein, calcitonin, lactate dehydrogenase, lymphocyte factor assay, blood gas analysis, and creatine kinase measurements.

Study definitions and criteria

We defined the severity (severe vs. non-severe) of COVID - 19 patients according Diagnosis and Treatment Protocol for Novel Coronavirus Pneumonia( Trial Version 5) released by the National Health Commission& State Administration of Traditional Chinese Medicine[22]. The severe group included the heavy and critical type, while the non-severe group included the mild and moderate types. Mild type was defined as clinical symptoms were mild, and no signs of pneumonia were found on imaging. Moderate type was defined as having symptoms such as fever, respiratory tract, and the appearance of pneumonia can be seen on imaging. Heavy type was defined as satisfying any of the following items:1. Respiratory distress, RR >30 / min;2.At rest, oxygen saturation <93%; 3. Arterial blood oxygen partial pressure (Pa02)/oxygen concentration (Fi02) < 300 mmHg (1 mmHg = 0.133KPa).Critical type was defined as satisfying any of the following items:1. Respiratory failure and the need for mechanical ventilation;2.Shock;3.Combined with other organ failure requires ICU care.

Date of exposure refers to the earliest date of exposure to a source of transmission (persons in Wuhan or confirmed patients).The incubation period is defined as the time interval between the potential earliest date of exposure to the source of transmission and the earliest date of occurrence of symptoms (i.e., clinical symptoms such as cough and fever).Record the specific contact date (if the date is not clear, it will not be included in the analysis) and calculate the incubation period based on the specific information of the exposure date. Treatment delay indicates the time between symptoms onset and hospitalization. The course of illness indicated the time from symptoms onset to discharge. The discharge time of patients who had been discharged was recorded, and the cases with definite symptom onset date (those with unclear date were not included in the analysis) were included in the course of illness analysis. Body temperature under the armpit greater than or equal to 37.5℃ defined as fever. Normal values of other laboratory examination indicators are shown in the table2.

Laboratory confirmation

All cases were confirmed by Zhejiang Center for Disease Control (CDC). The nucleic acid extraction was carried out with the kit (Biogas) recommended by the Chinese center for disease control and Control (CDC). RT-PCR assays were performed in accordance with the protocol established by the WHO, and Nucleic acid sequencing was performed using NGS (high throughput sequencing) technology.

Statistical analysis

We applied the statistical software of EXCEL (version 2019) and R software (version 3.6.1) for data processing and analysis. Continuous variables are expressed as mean (standard deviation) or median (quartile spacing or range), and the classification variables were expressed by count (percentage). Chi-square test was used for comparison between groups. P<0.05 was considered statistically significant.

Ethical Approval

This retrospective multi-center cohort study was approved by the ethics review committee of Taizhou Hospital, Sanmen People's Hospital, Wenling First People's Hospital and Tiantai People's Hospital. Given the urgency of the data, written informed consent was waived.

Demographic characteristics.

As of March 11, 2020, a total of 146 patients were confirmed in the four hospitals and transferred to the isolation hospital for treatment. We obtained basic information, clinical data and CT images of 143 patients (96.6%), among whom 66 were females (46.2%) and 77 males (53.8%). Demographic and clinical characteristics of the patients are shown in Table 1. On admission, the degree of severity of COVID-19 was categorized as non-severe in 110 patients and severe in 33 patients. Of all patients, 60 patients (42.0%) had contact with a confirmed patient, 70 patients (49.0%) had contact with a person in the Wuhan area, 4 patients (2.8%) had contact with both, and 9 patients (6.3%) had an unclear contact history. The median age of patients was 47 years old (range 4-86), with a high concentration of 38-60 years old (56.8%).

The median age of the non-severe patients was 44.5 years old (range 4-80), while the median age of the severe patients was 55.0 years old (range 27-86), and the difference was statistically significant (P<0.05).The number of young patients (<38 years old) in the non-severe group (32.7%) was higher than that in the severe group (0.9%), and the difference was statistically significant (P<0.05).The proportion of old patients(>60 years old) in the severe group (45.5%) was greater than that in the non-severe group (15.5%), and the difference was statistically significant (P<0.05). 129 patients (90.2%) had a history of smoking, including 100 patients (90.9%) in the non-severe group and 29 patients (87.9%) in the severe group, with no statistically significant difference.

The mean incubation period was 6.9 days (SD3.472) and the mean treatment delay period was 3.0 days (SD2.631). Fever (73.4%) was the most common symptom. And a total of 91patients (63.6%) developed cough, with sputum (28.7%), yellow sputum (5.6%) and dry cough (29.4%). Sore throat (10.5%), Nasal congestion (5.6%), muscle soreness (9.8%), and chest tightness (17.5%) were relatively rare. Among the overall population, 24.5% had at least one coexisting illness (e.g., hypertension and chronic obstructive pulmonary disease). The average body temperature of patients with fever was 38.0℃ (SD3.741), mainly in 37℃-39℃, and only 1 case (0.7%) had high fever (>40℃).

Differences in laboratory results between the two groups of patients

Some of the patients were first admitted to the county hospital, and some laboratory tests were not carried out due to conditions. A total of 123 cases were included for laboratory examination results analysis, and those without such examination were recorded as UNKOWN. There were 28 cases in the severe group and 95 cases in the non-severe group. Table 2 shows the details of laboratory results of all cases. In the non-severe group, except for the increase of blood glucose (14 (± 60) mmol/L), the decrease of serum albumin (39 (± 5.2) g/L), the decrease of erythrocyte sedimentation rate (35 (± 24) umol/L), the decrease of serum sodium (130 (± 25) mmol/L), the increase of CRP (15 (± 19) mg/L), and the increase of amyloid A (190 (± 330)). All other test results were within the normal range.

In the severe group, the lymphocyte count decreased (0.91 (± 0.43)*10^9), the erythrocyte sedimentation rate (38 (± 24) umol/L) decreased, the blood glucose (13 (± 53) mmol/L) increased, the lactate dehydrogenase (350 (± 180) U/L) increased, the serum albumin (130 (± 25) g/L) decreased, the CPR (35 (± 31) mg/L) increased, and the glomerular filtration rate (82 (± 26)ml/min) decreased. Amyloid protein A (430 (+ 420)) increased, the fibrinogen detection value (4.5(± 1.3) s) increased, the D dimer (0.54 g/L (± 0.63)) increased, the PH (7.8(± 2.0)) increased, the arterial blood oxygen partial pressure (83 (± 24) mm/Hg) decreased. And the calcitonin original (0.086 (±0.090 mm) ug/L) level is reduced, the myoglobin (84 (± 80)ng/ml), IL - 10 (9.4(± 9.2) pg/ml),C1q (240 (± 38) mg/L) increased, the PT (16 (± 19)s) increased, the absolute value of CD3 (490 (± 330) /uL) increased, the absolute value of TCD3 (56 (± 13) %) decreased, the absolute value of CD4 (290 (± 200) /uL) decreased, and the absolute value of CD8 (190 (± 130) /uL) decreased. Other test results were within the normal range.

In addition, the result of following laboratory test items were different, such as aspartate transaminase, creatine kinase and lactate dehydrogenase, serum albumin, CPR, glomerular filtration rate, amyloid protein A, fibrinogen, calcitonin level, oxygen partial pressure, red protein, IL - 10, the absolute value of CD3, and the absolute value of CD4, the absolute value of CD8.The difference between the two groups was statistically significant (P<0.05) (table2).

CT manifestations of the two groups

Five (3%) CT images were unable to be evaluated due to poor respiratory artifact quality. Images of 138 (97%) patients at admission were obtained. Among them, 34 patients were severe (31%) and 104 patients were non-severe (75%). The lesions of 135 patients (98 %) mainly distributed in the external or subpleural of lung, 37 patients (27 %) in the middle or inner band, and 34 patients (25%) in both. Among them, the lesions in the middle or inner band were more common seen in non-severe patients (47% vs 20%), and the difference was statistically significant (P=0.004). Mass (81%) is the most common lesion shape, followed by patchy (68%). The shapes of lung segments and irregular were seen only in the severe patients, while the nodular shape was seen only in the non-severe patients. Most of the lesions presented with mixed density (63 %) and uneven density (73 %).

In 60% of the CT images, the lesion was distributed along the pulmonary texture tract, and in 62% of the CT images, the lesion was adjacent to vasodilation. There were 52% CT images showing interlobular septal thickening, and fibrous foci were present in 30% of the CT images. Other concomitant signs such as cavitation or calcification (1%), enlarged lymph nodes (3%), pleural effusion (2%), chronic bronchitis (4%), emphysema or pulmonary bullous (4%) are rare. Consolidation (68% vs 41%), bronchial inflation signs (59% vs 41%), and bronchiectasis (71% vs 39%) were more common in the severe group, and the difference was statistically significant(P<0.05).

All the discharged patients (61/143) showed obvious absorption of lesions on CT. Figure1 shows the CT transformation of a discharged patient from admission to discharge.

Treatment and clinical outcomes.

81patients (56%) received oxygen therapy and 95 (65%) received antiviral therapy. 16 patients (11%) were treated with intravenous glucocorticoids, 11 of whom were in the severe group. 9 patients (6%) were treated with gamma globulin and 21 (15%) with antibiotics. Noninvasive respiratory support was used in 29 patients (20%) and invasive respiratory support was used in 1 severe patient. As of March 11, 2020, the final date of follow-up, all patients were discharged from the hospital, with no deaths.

In the early stage of new coronavirus outbreak without good research and understanding, the diagnosis and severity of COVID-19 are mainly based on clinical symptoms and imaging manifestations. In order to provide the clinical characteristics and imaging findings of COVID-19 infections in cities outside Wuhan, this study collected 143 patients confirmed by laboratory test from four hospitals in Taizhou, including 33 severe patients and non-severe 110 patients.

42% of the patients have been living in Wuhan for a long time or have been to Wuhan or had contact with people returning from Wuhan. This result is similar to that of other studies[23].Our study also found that the average age of COVID-19 infected patients was 47.0(range 4-86) years old, which was similar to the national distribution[23] .The results of this study showed no statistical difference between men and women, but the study of Chen Nanshan et al[20] found that the proportion of men was higher than that of women, but the number of their study was only 99, so more data are needed to confirm the accuracy of this result. Most of the patients (62.3%) went to the hospital within 2 days of symptom onset. The average incubation period in study by Weijie Guan et al. was 4 days (2-7 days) [23], while that was 5.2 days (4.1-7.0 days) by Li Qun et al. [24].Fever and cough were the most common clinical symptoms in all cases, with fever occurring in 73.4% and cough in 63.6%. Compared with other study, our results were different. In the study of Guan Weijie et al.[23] 43.8% patients were found to have fever at the first visit, but the number increased to 88.7% after hospitalization. This difference is due to the fact that most cases in Taizhou were treated after the onset of symptoms, resulting in a high proportion of cases with fever. Of all patients with fever, more than half had mild to moderate fever (37.5-39℃), and only a few had high fever (23.1%).

The laboratory test results of both groups were abnormal to different degrees, especially in patients with severe diseases. Blood glucose, serum sodium, serum albumin, amyloid A, and CRP values were found to be outside the normal range in both groups. We suggest that the difference in laboratory results between the two groups, which can be used to assess the degree of illness to some extent. The accuracy still needs to be confirmed with larger data however. In addition, the possible explanation is that the COVID -19, a novel virus, greatly triggers the body's innate immune response, adaptive response and specific immune response after entering the body through the respiratory tract[21]. Specific immune response depends primarily on T cells, and the critical protective role of T cell immune response in coronavirus infection has been well documented in several animal models[25].

In the early stage of the disease or in non-severe patients, the body's innate immune response and specific response can restrain the spread and clearance of the virus, just like other viruses invading the body, only increased blood glucose, accelerated CRP, increased amyloid A and other adaptive responses, as well as diluent serum albumin and blood sodium reduction. With the progress of the disease, despite the efforts of T cells to fight against the virus, CD4, CD8 and other lymphocytes are reduced in severe patients or in the later stage of the disease due to the virulence of the virus or the decline of the body's immunity. Possible, the mechanism is similar to that of CD4 cell reduction caused by HIV[26,27]. These results reflect the body reach the maximum to clear the virus, so that this stage may result in decreased lung function, liver function, kidney function, and even blood clotting and heart function. The specific manifestations were reduced PaO2, increased transaminase, decreased glomerular filtration rate, increased PT and D dimer values, and increased myoglobin (Table2). At the same time, if the treatments working well or the patient's resistance system recovery, the multiple organ dysfunction reversed. But if the disease continues to progress or measures are not effective, all organs will fail, especially the lung, even to death. In Dawei Wang's study of 138 inpatients in Wuhan, the mortality rate was 4.3%[21], while 1.4% in another study[23].Accurate death rates require further statistics.

In all the cases in this study, only one 18-year-old patient presented no obvious imaging manifestations at the time of admission, and all the others showed imaging changes. Among the remaining 138 cases assessed with imaging changes, the lesions were more localized in Lung periphery (98%), and only a few severe patients showed inner or middle band lesions. This result was similar to that of the Wenzhou case imaging study[28].The possible explanation is that the blood supply of the subpleural is less than that of intrapulmonary band and mediastinum band, with lymphatic reflux reduced, resulting in a relatively low virus clearance capacity. There were more patchy heterogeneous density shadows in patients. The possible explanation is that different exudate protein content would lead to different density on CT, resulting in a variety of shapes and density changes. In 60% of all patients, the lesions were distributed along the lung texture, suggesting that spread along the bronchi may be one of the mechanisms of the virus spread. In addition, CT signs such as consolidation, air bronchodilatation and bronchodilation are more common in the severe group, so we believe that these signs can be used to assess the severity of the disease.

Some limitations in our study. First, the earliest contact date between some patients and the potential source of infection was not clear, resulting in the accuracy of latency calculation is affected. Second, since the laboratory verification of the case was conducted by the Zhejiang CDC, Ct values of the patient's PCR examination at admission were not obtained. More complete data should include the patient's viral load or at least the Ct value. Third, this study is not a randomized study, and the difference in the number of cases between the two groups may affect the statistics.

In short, most of the patients in Taizhou were non-severe, and the majority had contact with a potential source of infection. Fever and cough were the most common initial symptoms. The laboratory examination of non-severe cases mainly focused on the abnormalities of inflammatory indicators such as accelerated CPR and elevated amyloid A, while patients in the severe group could also have dysfunction of other systems besides the respiratory system. Differences in the results of some laboratory items can be used to assess the severity of the disease, such as absolute values of CD3, CD4, CD8, and so on. Most of the CT imaging showed multifocal subpleural heterogeneous density patches. The disease was aggravated when there were signs of consolidation, bronchiectasis and air bronchodilatation on CT.

Most of the cases of COVID-19 in Taizhou have mild symptoms and no death. In addition to clinical symptoms, some laboratory tests (such as absolute values of CD4 and CD8) and CT findings can be used to assess the severity of the disease.

CT: Computed tomography; WHO: World Health Organization; SARS-CoV-2: Severe acute respiratory syndrome coronavirus 2; SARS-CoV: Severe acute respiratory syndrome coronavirus; MERS-CoV: Middle east respiratory syndrome coronavirus; PHEIC: Public Health Emergency of International Concern; COVID-19: Coronavirus disease 2019; CDC: Center for Disease Control and Prevention; RT-PCR: reverse transcription polymerase chain reaction; NGS: high throughput sequencing PaCO2: Arterial blood oxygen partial pressure; RR: Respiratory Rate;FiO2:oxygen concentration; PH: potential of hydrogen;C1q: Human Complement Component C1q;IL-10: Interleukin-10;TCD3:Total cluster of differentiation 3;PT: Prothrombin time; CK: Creatinine kinase; LDH: Lactate dehydrogenase; CRP: C-reactive protein; HIV: human immunodeficiency virus; CD3/4/8: cluster of differentiation 3/4/8;

Funding source

None

Conflicts of interest

The authors declare that they have no competing interests.

Ethical Approval

This retrospective multicenter cohort study was approved by the Institutional Review Board of each participating hospital.

Consent to participate

Given the urgency of the data, written informed consent was waived.

Consent for publication

All authors agreed to publish the manuscript in the Journal of Virology Journal

Availability of data and material

All datasets are presented in the main paper.

Code availability

Not applicable

Authors’ Contributions

YK, SH and WJ designed the study and took the lead in drafting the manuscript and interpreting, SL developed the statistical methods, Susu He, RZ, SY, RZ, RL, HL, ZZ were participated in the collection of experimental data. PP was assisted in the writing and correction of this manuscript. All authors read and approved the final manuscript for publication

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Table1.Cinical Characteristics of the Study Patients, According to Disease Severity

	Overall (n=143)	Disease severity
	Overall (n=143)	Non-severe (n=110)	Severe (n=33)	P-Value

Age(years)
Median(range)	47.0(4-86)	44.5(4-80)	55.0(27-86)	<0.05
<38	34(23.8%)	31(32.7%)	3(0.9%)	<0.05
38-48	43(30%)	36(32.7%)	7(21.2%)	-
49-60	34(23.8%)	26(26.3%)	8(24.2%)
>60	32(22.4%)	17(15.5%)	15(45.5%)	<0.05
Gander
Female	66 (46.2%)	52 (47.3%)	14 (42.4%)	-
Male	77 (53.8%)	58 (52.7%)	19 (57.6%)	-
Smoking
No	129(90.2%)	100 (90.9%)	29 (87.9%)	-
Yes	13 (9.1%)	9 (8.2%)	4 (12.1%)	-
Unknow	1 (0.7%)	1 (0.9%)	0 (0%)	-
Contact history
The history of contact with confirmed patients	60 (42.0%)	46 (41.8%)	14 (42.4%)	-
The history of contact with epidemic area	70 (49.0%)	54 (49.1%)	16 (48.5%)	-
Unknow	9 (6.3%)	6 (5.5%)	3 (9.1%)	-
Both	4 (2.8%)	4 (3.6%)	0 (0%)	-
Temperature(℃)
<37.5	1 (0.7%)	1 (0.9%)	0 (0%)	-
37.5-38	7 (4.9%)	7 (6.4%)	0 (0%)	-
38-38.5	39 (27.3%)	29 (26.4%)	10 (30.3%)	-
38.5-39	26 (18.2%)	19 (17.3%)	7 (21.2%)	-
39-40	32 (22.4%)	20 (18.2%)	12 (36.4%)	-
>40	1 (0.7%)	1 (0.9%)	0 (0%)	-
Unknow	37 (25.9%)	33 (30.0%)	4 (12.1%)	-
Clinical symptoms
Fever Coughing of phlegm	105(73.4%) 41 (28.7%)	76(53.1%) 30 (27.3%)	29(20.1%) 11 (33.3%)
Dry cough	42 (29.4%)	30 (27.3%)	12 (36.4%)
Yellow sputum	8 (5.6%)	6 (5.5%)	2 (6.1%)
Sore throat	15(10.5%)	12(10.9%)	3 (9.1%)
Nasal obstruction	8 (5.6%)	8 (7.3%)	0 (0%)
Muscle soreness	14 (9.8%)	11 (10.0%)	3 (9.1%)
Weak Chest distress	37 (25.9%) 25(17.5%)	31 (28.2%) 17(15.5%)	6 (18.2%) 8(24.2%)
Coexisting disorders
hypertension	20 (14.0%)	15 (13.6%)	5 (15.2%)
diabetes	12 (8.4%)	7 (6.4%)	5 (15.2%)
COPD	3 (2.1%)	2 (1.8%)	1 (3.0%)
The incubation period(days)
<3	3 (2.1%)	3 (2.7%)	0 (0%)
3-6	10 (7%)	9 (7.3%)	1 (3.0%)
6-9	10 (7%)	9 (8.1%)	1 (3.0%)
9-12	6 (4.2%)	3(2.7%)	3 (9.1%)
>15	4 (2.8%)	4(3.6%)	0 (0%)
Unknow	110(76.9%)	82 (74.5%)	28 (84.8%)
Treatment delay
<1	49(34.3%)	8 (24.2%)	41 (37.3%)
1-2	40(28.0%)	8 (24.2%)	32 (29.1%)
2-5	22(15.4%)	6 (18.2%)	16 (14.5%)
5-10	16(11.2%)	7 (21.2%)	9 (8.2%)
>10	2 (1.4%)	2 (6.1%)	0 (0%)
Unknow	14 (9.8%)	2 (6.1%)	12(10.9%)

Table2.Laboratory Findings of Patients With COVID-19 on Admission to Hospital

	Normal Range	Overall (n=123)	Non- Serve (n=95)	Serve (n=28)	P-value
Lymphocyte count, ×10^9/L	1.1-3.2	1.2 (± 0.52)	1.3 (± 0.52)	0.91 (± 0.43)	<0.001
<1.1*10^9		43 (34.96%)	27 (28.42%)	16 (57.14%)
1.1~3.2*10^9		67 (54.47%)	60 (63.16%)	7 (25%)
unknow		13 (10.57%)	8 (8.42%)	5 (17.86%)	<1.1*10^9
Erythrocyte sedimentation rate (ESR), umol/L	59-104	38 (± 24)	35 (± 24)	47 (± 24)	0.0615
<59		68 (55 %)	56 (59 %)	12 (43 %)	0.298
59~104		12 (10 %)	8 (8 %)	4 (14 %)
Unknow		43 (35 %)	31 (33 %)	12 (43 %)
Blood glucose, mmol/L	3.9-6.11	13 (± 53)	14 (± 60)	9.1 (± 5.1)	0.476
3.9~6.11		44 (36 %)	36 (38 %)	8 (29 %)	0.599
>6.11		62 (50 %)	47 (49 %)	15 (54 %)
Unknow		17 (14 %)	12 (13 %)	5 (18 %)
Aspartate aminotransferase, U/L	15-40	30 (± 17)	26 (± 11)	40 (± 28)	0.0265
15~40		91(74.0%)	73(80.2%)	18(19.8%)
>40		17(13.8%)	10(57.8%)	7(42.2%)
Creatine kinase(CK), U/L	38-285	99 (± 93)	83 (± 69)	150 (± 130)	0.0262
38~285		85 (69 %)	68 (72 %)	17 (61 %)	0.54
>285		13 (11 %)	9 (9 %)	4 (14 %)
Unknow		25 (20 %)	18 (19 %)	7 (25 %)
Lactic acid dehydrogenase, U/L	80-285	240 (± 140)	200 (± 100)	350 (± 180)	<0.001
80~285		72 (59 %)	65 (68 %)	7 (25 %)	<0.001
>285		21 (17 %)	8 (8 %)	13 (46 %)
Unknow		30 (24 %)	22 (23 %)	8 (29 %)
Albumin, g/L	40-55	38 (± 5.2)	39 (± 5.2)	35 (± 4.0)	0.0175
<40		16 (13 %)	9 (9 %)	7 (25 %)	0.0116
40~55		31 (25 %)	29 (31 %)	2 (7 %)
Unknow		76 (62 %)	57 (60 %)	19 (68 %)
Na, mmol/L	137-147	130 (± 22)	130 (± 25)	140 (± 3.7)	0.17
<137		37 (30 %)	29 (31 %)	8 (29 %)	0.78
137~147		69 (56 %)	54 (57 %)	15 (54 %)
Unknow		17 (14 %)	12 (13 %)	5 (18 %)
Mg, mmol/L	0.75-1.02	3.8 (± 17)	4.7 (± 19)	0.89(±0.096)	0.0829
<0.75		10 (8 %)	8 (8 %)	2 (7 %)
CRP, mg/L	<8	20 (± 24)	15 (± 19)	35 (± 31)	0.00592
0~8		51 (41 %)	44 (46 %)	7 (25 %)	0.132
>8		51 (41 %)	36 (38 %)	15 (54 %)
Unknow		21 (17 %)	15 (16 %)	6 (21 %)
Glomerular filtration rate (GFR), ml/min	NA	91 (± 21)	94 (± 19)	82 (± 26)	0.051
Amyloid A	0-10	250(±360)	190(±330)	430(±420)	0.0184
0~10		21 (17 %)	19 (20 %)	2 (7 %)
>10		79 (64 %)	59 (62 %)	20 (74 %)
fibrinogen, s	2.0-4.0	3.9 (± 1.4)	3.7 (± 1.4)	4.5 (± 1.3)	0.0153
>4		30 (24 %)	17 (18 %)	13 (46 %)
0~4		60 (49 %)	51 (54 %)	9 (32 %)
D dimer level, g/L	0-0.5	0.40(±0.59)	0.35(±0.58)	0.54(±0.63)	0.25
PaO2, mmHg	83-108	94 (± 31)	99 (± 33)	83 (± 24)	0.0145
<83		36 (29 %)	23 (24 %)	13 (46 %)	0.143
83~108		35 (28 %)	28 (29 %)	7 (25 %)
>108		21 (17 %)	18 (19 %)	3 (11 %)
Unknow		31 (25 %)	26 (27 %)	5 (18 %)
Oxygen concentration, %	NA	26 (± 13)	25 (± 14)	27 (± 11)	0.585
0~21		61 (50 %)	51 (54 %)	10 (36 %)	0.0131
>21		31 (25 %)	18 (19 %)	13 (46 %)
Unknow		31 (25 %)	26 (27 %)	5 (18 %)
Myoglobin, ng/ml,	12-75	46 (± 56)	35 (± 41)	84 (± 80)	0.0251
<12		7 (6 %)	6 (6 %)	1 (4 %)
12~75		54 (44 %)	45 (47 %)	9 (32 %)
>75		12 (10 %)	5 (5 %)	7 (25 %)
IL-10, pg/ml	0.1-5.0	5.2 (± 5.2)	4.0 (± 2.5)	9.4 (± 9.2)	0.0247
0~5		56 (46 %)	49 (52 %)	7 (25 %)
>5		28 (23 %)	17 (18 %)	11 (39 %)
CD3 absolute value, /uL	770~2041	720 (± 450)	790 (± 460)	490 (± 330)	0.0245
<770		28 (23 %)	19 (20 %)	9 (32 %)
770~2041		17 (14 %)	15 (16 %)	2 (7 %)
CD4 absolute value, /μL	414-1123	440 (± 260)	490 (± 260)	290 (± 200)	0.0149
<414		26 (21 %)	18 (19 %)	8 (29 %)
414-1123		19 (15 %)	16 (17 %)	3 (11 %)
CD8 absolute value--/μL	238-874	290 (± 180)	330 (± 180)	190 (± 130)	0.00928
<238		22 (18 %)	15 (16 %)	7 (25 %)
238~874		23 (19 %)	19 (20 %)	4 (14 %)

Table3. CT Manifestations of Patients Infected With COVID-19 Admission to Hospital

	Overall	Non-Serve	Serve	P-value
	(n=138)	(n=104)	(n=34)	P-value
Distribution characteristics
Peripheral or subpleural	135(98 %)	102 (98 %)	33 (97 %)
Middle or inner band	37 (27 %)	21 (20 %)	16 (47 %)	0.00441
both	34(25%)	19(18.3)	15(44%)
Shape
Paving stone shape	21(32%)	15(15%)	6(18%)
Mass	51(81%)	35(34%)	16(47%)
Patchy	24(40%)	16(16%)	8(24%)
Strip shape	7(9%)	6(6%)	1(3%)
Honeycomb shape	8(12%)	6(6%)	2(6%)
Small patchy	58(68%)	52(50%)	6(18%)
Lung segment shape	4(12%)	0	4(12%)
Irregular	4(12%)	0	4(12%)
Nodular	4(3.88%)	4(3.88%)	0
Density
Ground glass density	37 (27 %)	30 (29 %)	7 (21 %)	0.325
Mixed Density	87 (63 %)	62 (60 %)	25 (74 %)
Solid Density	14 (10 %)	12 (12 %)	2 (6 %)
Homogeneity
homogeneous	37 (27 %)	28 (27 %)	9 (26 %)
heterogeneous	101(73 %)	76 (73 %)	25 (74 %)
The edge
clear	21 (15 %)	16 (15 %)	5 (15 %)
unclear	117(85 %)	88 (85 %)	29 (85 %)
CT signs
consolidation	66 (48 %)	43 (41 %)	23 (68 %)	0.0136
bronchial inflation	63 (46 %)	43 (41 %)	20 (59 %)	0.0015
Bronchiectasis	65 (47 %)	41 (39 %)	24 (71 %)	0.00305
Blood vessels penetrated the lesion	57 (41 %)	42 (40 %)	15 (44 %)	0.855
distribution along the vascular bundle	83 (60 %)	64 (62 %)	19 (56 %)	0.702
Adjacent vascular widening	72 (52 %)	55 (53 %)	17 (50 %)	0.925
septal thickening	58 (42 %)	41 (39 %)	17 (50 %)	0.376
fibrosis	42 (30 %)	29 (28 %)	13 (38 %)	0.081
Accompanying signs
cavity or calcification
Non	137(99 %)	103 (99 %)	34 (100 %)
Yes	1 (1 %)	1 (1 %)	0 (0 %)
lymphadenectasis
Non	134(97 %)	102 (98 %)	32 (94 %)	0.545
Yes	4 (3 %)	2 (2 %)	2 (6 %)
pleural effusion
Non	135(98 %)	103 (99 %)	32 (94 %)	0.303
Yes	3 (2 %)	1 (1 %)	2 (6 %)
chronic bronchitis
Non	132(96 %)	100 (96 %)	32 (94 %)	0.983
Yes	6 (4 %)	4 (4 %)	2 (6 %)
emphysema or pulmonary bullous
Non	133(96 %)	101 (97 %)	32 (94 %)	0.777
Yes	5 (4 %)	3 (3 %)	2 (6 %)

Table 4. Treatments and Clinical Outcomes

	Overall	Non serve	Serve	P-value
	(n=143)	(n=110)	(n=33)	P-value
Treatment
Oxygen-inhalation	32 (56 %)	59 (53%)	22(67%)	0.0463
Antiviral	87 (61 %)	71 (65%)	16 (49%)	0.181
Intravenous Glucocorticoids	16 (11 %)	5 (5%)	11 (33%)	<0.001
Gamma globulin	9 (6 %)	3 (3%)	6 (18%)	<0.001
Antibiotics	21 (15 %)	15 (14%)	6 (18%)	0.843
Noninvasive ventilation	29 (20 %)	25 (23%)	4 (12%)	0.209
Invasive mechanical ventilation	1 (1 %)	0 (0 %)	1 (3 %)
ECMO	0	0	0
Clinic Outcome
Discharge from hospital	143(100%)	110(100%)	33(100%)
Die	0 (0%)	0 (0%)	0 (0%)

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Clinical Characteristics and CT Manifestations of 143 Patients With 2019 Novel Coronavirus Disease (COVID-19) in Taizhou City, Zhejiang, China

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