Clinical characteristics and outcomes of COVID-19 long-term nucleic acid positive patients
Abstract
OBJECTIVE:
This study aimed to investigate the clinical characteristics and outcomes of coronavirus disease-19 (COVID-19) long-term nucleic acid positive patients (hereinafter referred to as CLTAPs).
METHODS:
Patients were recruited from the Xiaogan Central Hospital between 16 January 2020 and 28 March 2020. Among the 562 cases of patients with laboratory-identified COVID-19 infection by real-time polymerase chain reaction (qtPCR), 19 cases of COVID-19 patients with more than 41 days from the first to the last time of nucleic acid test were selected as the study group, and 76 cases of age- and gender-matched COVID-19 patients were selected as the control group (hereinafter referred to as C-CLTAPs). Demographic characteristics, clinical symptoms, laboratory examination and computed tomography (CT) imaging characteristics were retrospectively analyzed.
RESULTS:
On admission, among the 562 cases of patients with COVID-19, there were 398 cases of ordinary COVID-19 patients, 99 cases of severe COVID-19 patients and 99 cases of critical COVID-19 patients. CLTAPs had milder clinical symptoms and longer viral shedding time in comparison to C-CLTAPs. Compared to C-CLTAPs, CLTAPs had a lower infection index at admission. CLTAPs used less oxygen therapy and a higher proportion of hydroxychloroquine treatment in comparison to C-CLTAPs. In comparison to C-CLTAPs, CLTAPs showed slower pulmonary CT progression and faster pulmonary CT absorption.
CONCLUSION:
In this study, out of the 562 cases, we found 19 CLTAPs. The clinical differences between CLTAPs and C-CLTAPs were compared and analyzed. We hope that these finding can provide a theoretical basis for the treatment of CLTAPs.
1.Introduction
In December 2019, the 2019 coronavirus disease broke out in Wuhan, Hubei Province, China. The disease caused by the SARS-cov-2 viral infection was named coronavirus disease-19 (COVID-19) by the World Health Organization (WHO) [1, 2, 3, 4]. To date, six kinds of coronavirons have been identified to cause human disease [4] and are inducers of respiratory, intestinal, liver, and neurological diseases [5, 6, 7]. COVID-19 has quickly spread to all parts of China and many countries around the world as it is highly contagious [8, 9, 10, 11, 12]. Studies have confirmed that the pathogen of the COVID-19 outbreak is highly homologous with the SARS virus, and were named SARS-cov-2 by the International Committee of Virology (ICTV) [13]. At present, there are different reports of the SARS-CoV-2 shedding time, indicating the urgent need to study the replication, immunity and infectivity of SARS-CoV-2. Understanding this is crucial for determining the duration of isolation and antiviral treatment. This also indicates that a large number of basic studies on COVID-19 long-term nucleic acid positive patients (CLTAPs) are needed, including studies on the epidemiological and clinical features. At the same time, the CLTAPs with new coronavirus personal, clinical, laboratory, and radiologic characteristics, treatment, and outcome information is of great reference and research value.
In this present study, the aim was to describe the epidemiological, clinical, laboratory and radiological characteristics, treatment, and outcomes of CLTAPs, and to compare the clinical characteristics and outcomes of the control group (C-CLTAPs). We hope that our findings can provide a theoretical basis for the treatment and prevention of CLTAPs.
2.Methods
2.1Patients
A total of 562 confirmed COVID-19 cases at the Xiaogan Central Hospital from 16 January 2020 to 28 March 2020 were collected. The diagnostic criteria meet the requirements of the “Diagnosis and treatment of COVID-19 (7th edition)” issued by the Chinese National Health and Health Committee. This study was approved by the ethics committee of Xiaogan Central Hospital (No. XGLY2020-03-28) and conformed to the Declaration of Helsinki.
2.2Data collection
Patients’ personal, clinical, laboratory and radiologic characteristics, epidemiological, treatment, and outcome information were obtained through standardized data collection from electronic medical records. Data entry into the computer database was independently completed and double-checked by two researchers.
2.3Computed tomography (CT) image collection
Two experienced physicians were employed to review the films and conducted quantitative accounting according to the distribution, location, size, morphology, edge, density, and pulmonary manifestations of the lesions.
Table 1
Demographic and clinical characteristics | All patients ( | |
---|---|---|
Age (years)-median (IQR) | 52 | (43–63) |
Age groups (years)- | ||
| 106 | (18.86) |
40–49 | 114 | (20.28) |
50–59 | 158 | (28.11) |
60–69 | 80 | (14.23) |
| 104 | (18.51) |
Gender- | ||
Male | 306 | (54.45) |
Female | 256 | (45.55) |
BMI (kg/m | ||
BMI | 21 | (3.74) |
18.5 | 284 | (50.53) |
24 | 191 | (33.99) |
28 | 52 | (9.25) |
BMI | 8 | (1.42) |
Exposure history- | ||
History of residence in Wuhan | 59 | (10.50) |
Wuhan tourism history | 126 | (22.42) |
Contact history with confirmed patients | 137 | (24.38) |
Denied a clear contact history | 240 | (42.70) |
Comorbidities- | ||
Smoking | 34 | (6.05) |
Hypertension | 139 | (24.73) |
Diabetes | 64 | (11.39) |
Cardiovascular disease | 31 | (5.52) |
Cerebrovascular disease | 14 | (2.49) |
Chronic pulmonary disease | 26 | (4.63) |
Chronic kidney disease | 5 | (0.89) |
Chronic liver disease | 37 | (6.58) |
Rheumatic immune disease | 9 | (1.60) |
Malignancies | 18 | (3.20) |
Clinical symptoms- | ||
Fever | 457 | (81.32) |
Cough | 368 | (65.48) |
Expectoration | 142 | (25.27) |
Dyspnea | 187 | (33.27) |
Pharyngalgia | 27 | (4.80) |
Dizziness | 8 | (1.42) |
Myalgia | 30 | (5.34) |
Fatigue | 131 | (23.31) |
Nausea or vomiting | 42 | (7.47) |
Diarrhea | 24 | (4.27) |
Temperature ( | 146 | (25.98) |
SpO2 ( | 101 | (17.97) |
HR ( | 88 | (15.66) |
BP (SBP | 107 | (19.04) |
Disease stratification- | ||
Ordinary | 398 | |
Severe | 99 | |
Critically ill | 65 | |
Median time of viral shedding | 26 | (18–36) |
Table 2
Demographic and clinical characteristics | All patients ( | C-CLTAPs ( | CLTAPs ( | ||||
---|---|---|---|---|---|---|---|
Characteristics | |||||||
Age (years)-median (IQR) | 57 | (48–60) | 56 | (48–60) | 57 | (49–59) | 0.944 |
Gender- | |||||||
Male | 75 | (78.95) | 60 | (78.95) | 15 | (78.95) | 1.000 |
Female | 20 | (21.05) | 16 | (21.05) | 4 | (21.05) | 1.000 |
Exposure history- | |||||||
History of residence in Wuhan | 10 | (10.53) | 7 | (9.21) | 3 | (15.79) | 0.403 |
Wuhan tourism history | 17 | (17.89) | 13 | (17.11) | 4 | (21.05) | 0.688 |
Contact history with confirmed patients | 26 | (27.37) | 20 | (26.32) | 6 | (31.58) | 0.645 |
Denied a clear contact history | 42 | (44.21) | 36 | (47.37) | 6 | (31.58) | 0.215 |
Comorbidities- | |||||||
Smoking | 5 | (5.26) | 5 | (6.58) | 0 | (0.00) | N/A |
Hypertension | 26 | (27.37) | 22 | (28.95) | 4 | (21.05) | 0.490 |
Diabetes | 10 | (10.53) | 9 | (11.84) | 1 | (5.26) | 0.403 |
Cardiovascular disease | 7 | (7.37) | 5 | (6.58) | 2 | (10.53) | 0.556 |
Cerebrovascular disease | 3 | (3.16) | 3 | (3.95) | 0 | (0.00) | N/A |
Chronic pulmonary disease | 5 | (5.26) | 5 | (6.58) | 0 | (0.00) | N/A |
Chronic kidney disease | 0 | (0.00) | 0 | (0.00) | 0 | (0.00) | N/A |
Chronic liver disease | 6 | (6.32) | 5 | (6.58) | 1 | (5.26) | 0.833 |
Rheumatic immune disease | 0 | (0.00) | 0 | (0.00) | 0 | (0.00) | N/A |
Malignancies | 2 | (2.11) | 2 | (2.63) | 0 | (0.00) | N/A |
Clinical symptoms- | |||||||
Fever | 85 | (89.47) | 66 | (86.84) | 19 | (100) | 0.095 |
Cough | 57 | (60.00) | 54 | (71.05) | 3 | (15.79) | 0.000 |
Expectoration | 28 | (29.47) | 24 | (31.58) | 4 | (21.05) | 0.368 |
Dyspnea | 33 | (34.74) | 25 | (32.89) | 8 | (42.11) | 0.451 |
Pharyngalgia | 2 | (2.11) | 1 | (1.32) | 1 | (5.26) | 0.284 |
Dizziness | 2 | (2.11) | 2 | (2.63) | 0 | (0.00) | N/A |
Myalgia | 1 | (1.05) | 1 | (1.32) | 0 | (0.00) | N/A |
Fatigue | 22 | (23.16) | 18 | (23.68) | 4 | (21.05) | 0.808 |
Nausea or vomiting | 4 | (4.21) | 4 | (5.26) | 0 | (0.00) | N/A |
Diarrhea | 5 | (5.26) | 5 | (6.58) | 0 | (0.00) | N/A |
SpO2 ( | 17 | (17.89) | 15 | (19.74) | 2 | (10.53) | 0.349 |
HR ( | 19 | (20.00) | 14 | (18.42) | 5 | (26.32) | 0.442 |
Duration of positive time (IQR) | 28 | (20–45) | 24 | (19–34) | 54 | (49–57) | 0.000 |
Figure 1.
Table 3
Laboratory findings | All patients ( | C-CLTAPs ( | CLTAPs ( | ||||
---|---|---|---|---|---|---|---|
Blood routine | |||||||
White blood cell count ( | 5.17 | (4.21–7.15) | 5.24 | (4.14–7.32) | 4.80 | (4.40–6.41) | 0.638 |
Red blood cell count ( | 4.43 | (4.15–4.81) | 4.46 | (4.18–4.81) | 4.31 | (4.00–4.80) | 0.454 |
Hemoglobin | 139 | (127.50–149) | 140 | (128–149.75) | 133 | (123–145) | 0.293 |
Neutrophil ( | 3.49 | (2.56–5.12) | 3.54 | (2.56–5.81) | 3.39 | (2.61–4.07) | 0.424 |
Lymphocyte ( | 1.02 | (0.73–1.64) | 0.96 | (0.71–1.46) | 1.35 | (0.96–1.61) | 0.093 |
Platelet ( | 167 | (137–222.5) | 162.50 | (135–226.25) | 192 | (165–209) | 0.280 |
Blood coagulation | |||||||
Active partial thrombin time (APTT) | 31.00 | (28.80–33.85) | 30.90 | (28.80–33.90) | 31.60 | (29.95–33.50) | 0.361 |
Prothrombin time (PT) | 12.30 | (11.70–13.30) | 12.50 | (12.20–13.60) | 11.60 | (11.30–11.80) | 0.000 |
Fibrinogen (Fib) | 4.52 | (3.38–5.34) | 4.73 | (3.88–5.56) | 2.82 | (2.47–3.84) | 0.000 |
D-dimer (SDD) | 12.80 | (12.10–13.80) | 12.60 | (12.00–13.70) | 13.60 | (13.00–14.55) | 0.003 |
Biochemical routine | |||||||
Total protein (TP) | 187.70 | (138.85–259.50) | 176.60 | (128.83–222.68) | 264 | (209.95–295.30) | 0.002 |
Albumin propagated (ALB) | 68.70 | (64.80–73.80) | 66.85 | (63.78–70.65) | 79.70 | (72.30–86.45) | 0.000 |
Alanine aminotransferase (ALT) | 38.20 | (35.65–40.75) | 38.05 | (35.13–40.10) | 40.90 | (38.15–43.05) | 0.002 |
Glutamates transaminase (AST) | 18 | (11–31) | 20.00 | (12.00–33.25) | 14 | (8–22.50) | 0.059 |
Total bilirubin | 23 | (16.50–30) | 23.50 | (17.00–31.50) | 20 | (15–26) | 0.164 |
Urea nitrogen | 11.40 | (9.50–16.75) | 11.95 | (9.50–16.53) | 11.20 | (9.20–16.15) | 0.539 |
Creatinine | 4.70 | (3.35–5.80) | 4.50 | (3.30–5.63) | 5.40 | (4.10–5.80) | 0.340 |
eGFR | 73.30 | (60.45–88) | 70.70 | (59.23–83.30) | 88 | (72.75–91.50) | 0.066 |
Lactate dehydrogenase (LDH) | 69 | (47–106.25) | 64.50 | (45.00–107.75) | 72.00 | (60.75–90.50) | 0.364 |
Alkaline phosphatase (ALP) | 72 | (65–85) | 69 | (63.50–82.25) | 86 | (77–106.50) | 0.005 |
Fasting plasma glucose (FPG) | 5.54 | (5.05–6.46) | 5.59 | (5.18–6.91) | 5.01 | (4.28–5.38) | 0.002 |
Total cholesterol (TC) | 3.60 | (3.08–4.19) | 3.50 | (2.96–4.07) | 4.23 | (3.63–4.58) | 0.005 |
Triglyceride (TG) | 1.35 | (1.03–1.96) | 1.28 | (1.00–1.84) | 1.46 | (1.17–2.63) | 0.023 |
Four items of chest pain | |||||||
Creatinase isoenzyme (CKMB) | 2.06 | (1.47–3.01) | 2.10 | (1.51–2.88) | 1.50 | (1.38–4.71) | 0.911 |
N-terminal brain natriuretic peptide | 157 | (51–404) | 156.50 | (66–408) | 214 | (20–376) | 0.649 |
precursor (BNP) | |||||||
Myoglobin (Myo) | 53.29 | (40.14–113.60) | 52.95 | (40.79–122.23) | 64.76 | (30.98–71.56) | 0.596 |
Cardiac troponin (cTnI) | 0.06 | (0.03–0.09) | 0.06 | (0.04–0.09) | 0.04 | (0.02–0.06) | 0.094 |
Infection-related index | |||||||
PCT | 0.18 | (0.13–0.27) | 0.16 | (0.12–0.27) | 0.20 | (0.18–0.23) | 0.053 |
CRP | 8.17 | (2.90–32.05) | 13.20 | (3.70–37.51) | 2.30 | (1.11–3.52) | 0.001 |
ESR | 47 | (31–68.25) | 47 | (32–69) | 19 | (18–55) | 0.100 |
2.4Statistical analysis
Classification variables were expressed as frequency and percentage, continuous variables were expressed as average, and quantitative data of non-normal distribution were calculated by quartile. The Chi-square test and Fisher exact test were used in the two groups of data, and the
3.Results
3.1Clinical characteristics of the patients on admission
Five hundred and sixty-eight cases of COVID-19 patients were diagnosed at the Xiaogan Central Hospital between 16 January 2020 and 28 March 2020. The demographic and clinical characteristics of the patients are summarized in Table 1. In particular, the median age was 52 years (IQR 43–63), and there were 306 males (54.45%) and 256 females (45.55%). The most common clinical symptoms were fever (81.32%) and cough (65.48%). Dyspnea (65.48%), expectoration (23.31%) and fatigue (25.27%) were the next most common. Diarrhea (4.27%), myalgia (5.34%), dizziness (1.42%), sore throat (2.34%) and conjunctival congestion (0.78%) were relatively uncommon. Most patients had a clear history of contact, including Wuhan travel history (22.42%), Wuhan residential history (10.50%) and contact history with diagnosed patients (24.38%). The proportion of patients who denied a clear contact history was 42.70%. Among these diagnosed patients, hypertension (24.73%) was the most common chronic disease, followed by diabetes (11.39%) and chronic liver disease (6.58%). Disease stratification was 398 ordinary patients (70.81%), 99 severe patients (17.61%) and 65 critical patients (11.56%).
3.2The distinction between CLTAPs and C-CLTAPs
The median time of viral shedding in the 562 cases was 26 (18–36), which was similar to results of Zhou et al. [14]. However, we found that there were 19 patients with a median time of viral shedding of 54 (IQR 49–57), which were considered as CLTAPs. To further explore the characteristics of these 19 CLTAPs, we matched 76 cases of C-CLTAPs of the same gender and age according to a 1:4 ratio, and compared the demographic characteristics, clinical symptoms, laboratory tests, and imaging data between the two groups.
Demographic and clinical characteristics of the CLTAPs and C-CLTAPs are summarized in Table 2. In detail, among the 95 COVID-19 patients, the median age was 57 years (IQR 48–60), and there were 75 males (78.95%) and 20 females (21.05%). There was no significant difference between CLTAPs and C-CLTAPs in exposure history and comorbidities. In terms of clinical symptoms, the symptoms of CLTAPs were milder than those of C-CLTAPs, and the proportion of CLTAPs with cough symptoms was significantly lower than that of C-CLTAPs (15.79% vs 71.05,
Laboratory tests of the CLTAPs and C-CLTAPs are summarized in Table 3. In comparison to C-CLTAPs, white and red blood cells, hemoglobin and neutrophils of CLTAPs decreased and lymphocyte and platelet increased. These results suggest that CLTAPs were more likely to have a lower proportion of inflammatory markers at admission. This was consistent with the result that CLTAPs had a lower infection index in comparison to C-CLTAPs at admission.
Table 4
All patients ( | C-CLTAPs ( | CLTAPs ( | |||||
---|---|---|---|---|---|---|---|
Oxygen cure- | |||||||
Oxygen- | 31 | (32.63) | 28 | (36.84) | 3 | (15.79) | 0.080 |
Respiratory support- | |||||||
Non-invasive ventilator | 5 | (5.26) | 5 | (6.58) | 0 | (0.00) | N/A |
Invasive ventilator | 2 | (2.11) | 2 | (2.63) | 0 | (0.00) | N/A |
Drug treatment- | |||||||
Antiviral therapy | |||||||
Abidor | 40 | (42.11) | 24 | (31.58) | 16 | (84.21) | 0.000 |
Interferon | 44 | (46.32) | 26 | (34.21) | 18 | (94.74) | 0.000 |
Ganciclovir | 24 | (25.26) | 22 | (28.95) | 2 | (10.53) | 0.098 |
Oseltamivir | 35 | (36.84) | 33 | (43.42) | 2 | (10.53) | 0.008 |
Pironavir ritonavir | 30 | (31.58) | 19 | (25.00) | 11 | (57.89) | 0.006 |
Ribavirin | 37 | (38.95) | 32 | (42.11) | 5 | (26.32) | 0.207 |
Hydroxychloroquine | 19 | (20.00) | 6 | (7.89) | 13 | (68.42) | 0.000 |
Antibiotic treatment | |||||||
Moxifloxacin | 48 | (50.53) | 43 | (56.58) | 5 | (26.32) | 0.018 |
Levofloxacin | 15 | (15.79) | 14 | (18.42) | 1 | (5.26) | 0.159 |
Piperacillin tazobactam | 3 | (3.16) | 3 | (3.95) | 0 | (0.00) | N/A |
Cefoperazone sodium sulbactam sodium | 1 | (1.05) | 1 | (1.32) | 0 | (0.00) | N/A |
Glucocorticoid | 1 | (1.05) | 1 | (1.32) | 0 | (0.00) | N/A |
Gamma globulin | 37 | (38.95) | 35 | (46.05) | 2 | (10.53) | 0.005 |
Complications- | |||||||
Septicemia | 0 | (0.00) | 0 | (0.00) | 0 | (0.00) | N/A |
Respiratory failure | 13 | (13.68) | 13 | (17.11) | 0 | (0.00) | N/A |
ARDS | 1 | (1.05) | 1 | (1.32) | 0 | (0.00) | N/A |
Heart failure | 2 | (2.11) | 2 | (2.63) | 0 | (0.00) | N/A |
Septic shock | 0 | (0.00) | 0 | (0.00) | 0 | (0.00) | N/A |
Coagulopathy | 0 | (0.00) | 0 | (0.00) | 0 | (0.00) | N/A |
Acute kidney injury | 1 | (1.05) | 1 | (1.32) | 0 | (0.00) | N/A |
Acute heart injury | 1 | (1.05) | 1 | (1.32) | 0 | (0.00) | N/A |
Clinical classification | |||||||
Ordinary | 71 | (74.74) | 54 | (71.05) | 17 | (89.47) | 0.098 |
Severe | 16 | (16.84) | 14 | (18.42) | 2 | (10.53) | 0.411 |
Critically ill | 8 | (8.42) | 8 | (10.53) | 0 | (0.00) | N/A |
Clinical outcome- | |||||||
Discharge | 91 | (95.79) | 72 | (94.74) | 19 | (100.00) | 0.307 |
Death | 4 | (4.21) | 4 | (5.26) | 0 | (0.00) | 0.307 |
Treatment and clinic outcomes of the CLTAPs and C-CLTAPs are summarized in Table 4. In detail, CLTAPs showed no clinical complications, while C-CLTAPs contained mild clinical complications, including 13 cases of respiratory failure, 1 case of ARDS and 2 cases of heart failure. CLTAPs used less oxygen therapy and had a higher proportion of hydroxychloroquine treatment in comparison to C-CLTAPs. In terms of clinical classification, CLTAPs held more mild patients, which was also the reason for the low proportion of glucocorticoids and globulin use.
Table 5
All patients ( | C-CLTAPs ( | CLTAPs ( | |||||
---|---|---|---|---|---|---|---|
Lesion distribution- | |||||||
Left lung | 5 | (5.26) | 5 | (6.58) | 0 | (0.00) | N/A |
Right lung | 7 | (7.37) | 7 | (9.21) | 0 | (0.00) | N/A |
Double lung | 65 | (68.42) | 58 | (76.32) | 7 | (36.84) | 0.001 |
Lesion location- | |||||||
Periphery | 41 | (43.16) | 37 | (48.68) | 4 | (21.05) | 0.030 |
Periphery and center | 36 | (37.89) | 33 | (43.42) | 3 | (15.79) | 0.026 |
Lesion size (cm)- | |||||||
| 5 | (5.26) | 5 | (6.58) | 0 | (0.00) | N/A |
1 | 11 | (11.58) | 7 | (9.21) | 4 | (21.05) | 0.149 |
| 61 | (64.21) | 58 | (76.32) | 3 | (15.79) | 0.000 |
Lesions form- | |||||||
Patch | 40 | (42.11) | 36 | (47.37) | 4 | (21.05) | 0.038 |
Lung segment | 20 | (21.05) | 18 | (23.68) | 2 | (10.53) | 0.208 |
Lobe | 17 | (17.89) | 16 | (21.05) | 1 | (5.26) | 0.108 |
Number of lesions- | |||||||
1 | 6 | (6.32) | 6 | (7.89) | 0 | (0.00) | N/A |
2 | 9 | (9.47) | 6 | (7.89) | 3 | (15.79) | 0.293 |
3 or more | 62 | (65.26) | 58 | (76.32) | 4 | (21.05) | 0.000 |
Lesion margin- | |||||||
Clear | 4 | (4.21) | 4 | (5.26) | 0 | (0.00) | N/A |
Vague | 73 | (76.84) | 66 | (86.84) | 7 | (36.84) | 0.000 |
Lesion density- | |||||||
Ground glass | 42 | (44.21) | 37 | (48.68) | 5 | (26.32) | 0.079 |
Substantiality | 1 | (1.05) | 1 | (1.32) | 0 | (0.00) | N/A |
Mixed type | 35 | (36.84) | 33 | (43.42) | 2 | (10.53) | 0.008 |
Extrapulmary manifestations- | |||||||
Mediastinal lymphadenopathy | 0 | (0.00) | 0 | (0.00) | 0 | (0.00) | N/A |
Pneumothorax | 0 | (0.00) | 0 | (0.00) | 0 | (0.00) | N/A |
Pleural effusion | 4 | (4.21) | 4 | (5.26) | 0 | (0.00) | N/A |
Radiological data of the CLTAPs and C-CLTAPs are summarized in Table 5. Specifically, according to the distribution characteristics and the range of involvement of COVID-19 lung CTs, we counted the imaging characteristics of lung CTs in the first week of admission. Among all patients, the proportion of lesions involving both lungs was 68.42%, the proportion of lesion distribution simultaneously involving peripheral and central areas was 37.89%, the proportion of the lesion size of
4.Discussion
Scientists have made efforts to reveal the epidemiological, clinical and virological characteristics of SARS-CoV-2 [15, 16, 17, 18, 19, 20]. COVID-19 infection has some similarities with SARS-CoV and MERS-CoV infection [21, 22], but it has obviously strong transmissibility. We are concerned that 2019-nCoV may have acquired efficient human transportation capabilities [23]. In the present study, we reported a cohort of 562 patients with laboratory-confirmed COVID-19 infection. Patients’ personal, clinical, laboratory, radiologic characteristics, epidemiological, treatment, and outcome information was analyzed. The disease stratification was 398 ordinary patients (70.81%), 99 severe patients (17.61%) and 65 critical patients (11.56%).
In addition, we compared 19 cases of CLTAPs with 76 cases of C-CLTAPs in terms of clinical characteristics, treatment, clinic outcomes and CT characteristics. Compared with C-CLTAPs, CLTAPs had a lower infection index at admission (CRP: 13.20 IQR [3.70–37.51] vs 2.30 IQR [1.11–3.52],
5.Conclusion
In conclusion, we analyzed and discussed the clinical features of 562 cases of COVID-19 patients. We compared and analyzed the clinical differences between CLTAPs and C-CLTAPs, providing a theoretical basis for the treatment of C-CLTAPs and the next stage of prevention and control work.
Author contributions
Y. Yan and M. Wang conceived and designed the study. X. Zhu and F. Yang acquired the data. Q. Li and T. Zhao performed the analysis. Y. Yan wrote the manuscript. W. Li reviewed and edited the manuscript. All authors read and approved the final manuscript and agree to be accountable for all aspects of the research in ensuring that the accuracy or integrity of any part of the work are appropriately investigated and resolved.
Informed consent
All patients provided informed consent for the publication of this study.
Conflict of interest
None of the authors have any conflict of interest to report.
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