Literature DB >> 32506726

Clinical features of COVID-19 convalescent patients with re-positive nucleic acid detection.

Hui Zhu1,2, Liyun Fu2,3, Yinhua Jin4, Jiale Shao5, Shun Zhang1,2, Nanhong Zheng6, Lingyan Fan6, Zhe Yu5, Jun Ying5, Yaoren Hu2,3, Tongen Chen7, Yanglingzi Chen1,2, Min Chen1,2, Mingjue Chen1,2, Zi Xiong1,2, Junfei Kang1,2, Jiachang Jin1,2, Ting Cai1,2, Honghua Ye8.   

Abstract

BACKGROUND: Coronavirus disease 2019 (COVID-19) is a pandemic that has rapidly spread worldwide. Increasingly, confirmed patients being discharged according to the current diagnosis and treatment protocols, follow-up of convalescent patients is important to knowing about the outcome.
METHODS: A retrospective study was performed among 98 convalescent patients with COVID-19 in a single medical center. The clinical features of patients during their hospitalization and 2-week postdischarge quarantine were collected.
RESULTS: Among the 98 COVID-19 convalescent patients, 17 (17.3%) were detected positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleic acid during 2-week postdischarge quarantine. The median time from discharge to SARS-CoV-2 nucleic acid re-positive was 4 days (IQR, 3-8.5).The median time from symptoms onset to final respiratory SARS-CoV-2 detection of negative result was significantly longer in re-positive group (34 days [IQR, 29.5-42.5]) than in non-re-positive group (19 days [IQR, 16-26]). On the other hand, the levels of CD3-CD56 + NK cells during hospitalization and 2-week postdischarge were higher in re-positive group than in non-re-positive group (repeated measures ANOVA, P = .018). However, only one case in re-positive group showed exudative lesion recurrence in pulmonary computed tomography (CT) with recurred symptoms.
CONCLUSION: It is still possible for convalescent patients to show positive for SARS-CoV-2 nucleic acid detection, but most of the re-positive patients showed no deterioration in pulmonary CT findings. Continuous quarantine and close follow-up for convalescent patients are necessary to prevent possible relapse and spread of the disease to some extent.
© 2020 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC.

Entities:  

Keywords:  COVID-19; SARS-CoV-2; convalescent patients

Mesh:

Substances:

Year:  2020        PMID: 32506726      PMCID: PMC7300578          DOI: 10.1002/jcla.23392

Source DB:  PubMed          Journal:  J Clin Lab Anal        ISSN: 0887-8013            Impact factor:   2.352


INTRODUCTION

A novel coronavirus, designated as severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) by the International Committee on Taxonomy of Viruses on February 11, 2020. Coronavirus disease 2019 (COVID‐19) caused by SARS‐CoV‐2 was declared a pandemic by World Health Organization. As of April 10, 2020, China had reported 83 307 cases with 3346 deaths. Internationally, by the same time, 1 439 516 confirmed cases of COVID‐19 had been reported in approximately 212 countries and territories with more than 85 711 deaths. Despite the large number of infected cases and the wide geographical spread of the disease, the COVID‐19 has been gradually and effectively controlled by quarantine of suspected cases, analysis of epidemiology, and improvement of diagnosis and treatment in China. In particular, the current use of broad‐spectrum antiviral drugs such as lopinavir‐ritonavir, arbidol hydrochloride, and chloroquine has achieved some desirable outcomes. , , Recently, over ninety percent (77862/83307, 93.5%) of confirmed COVID‐19 patients had met the criteria for hospital discharge or discontinuation of quarantine in China according to the latest diagnosis and treatment protocols from the National Health Commission of the People's Republic of China. While previous reports on COVID‐19 primarily focused on epidemiological and clinical characteristics of confirmed cases, , this study was conducted to retrospectively investigate the clinical features and inflammation and immune biomarkers of COVID‐19 convalescent patients with re‐positive SARS‐CoV‐2 nucleic acid detection.

MATERIALS AND METHODS

Data sources

A retrospective study was performed on convalescent patients with COVID‐19 who were treated in HwaMei Hospital, University of Chinese Academy of Sciences, Zhejiang, China. By April 2, 2020, epidemiological and clinical data were collected on 98 convalescent patients consisting of 17 cases with re‐positive results to detection of respiratory SARS‐CoV‐2 during postdischarge quarantine and 81 cases without. Hence, we divided the convalescent patients into re‐positive group and non‐re‐positive group. Patients were diagnosed based on the interim guidance from the World Health Organization. COVID‐19 was confirmed by real‐time reverse‐transcriptase polymerase‐chain‐reaction (RT‐PCR) assay for sputum or nasopharyngeal swab specimens. Primers targeting open reading frame (ORF) 1a/1b and nuclear gene were used. Patient with cycle threshold (Ct) values less than or equal to 40 was considered positive. Epidemiological characteristics, clinical symptoms and signs, laboratory findings, chest computed tomography (CT) assessments, antiviral treatment, and outcome data were extracted from electronic medical records. Epidemiological exposure was defined as a history of traveling to or residing in Wuhan city or the areas surrounding Wuhan, or a history of having contact with confirmed COVID‐19 patients or patients with fever or respiratory symptoms from Wuhan city and its surrounding areas within 14 days before onset of the disease. The cluster events, such as the one when people collectively prayed in Tiantong temple on January 19, 2020, were also investigated. Pulmonary CT scanning was conducted in all patients on admission. Additionally, repeat CT scans were performed every 5 days or in case of deterioration during hospitalization. The CT imaging was analyzed by two experienced radiologists. Primary parameters for CT imaging include lesion distribution, single or multiple lesions within each lobe, lesion density and interstitial pulmonary fibrosis. Sputum and nasopharyngeal swab specimens were collected from all patients on admission, and confirmation testing for SARS‐CoV‐2 RNA was performed at Ningbo Municipal Centers for Disease Control (CDC) of Zhejiang Province or HwaMei Hospital, University of Chinese Academy of Sciences following the standard protocol. Laboratory testing includes blood count, liver and kidney function, high‐sensitivity C‐reactive protein (hs‐CRP), procalcitonin, creatine kinase, lactic dehydrogenase (LDH), D‐dimer, electrolytes, and so on. Activated T cells and Th1/Th2 cytokines during hospitalization and 2‐week postdischarge were collected. These immunization and inflammatory indicators at baseline, the second week of hospitalization, as well as at the third day, the first week and second week after discharge from hospital were analyzed. We analyzed the temporal changes in total serum IgM and IgG specific for SARS‐CoV‐2 using COVID‐19 Antibody (IgM/IgG) Combined Test Kit (Medical System Biotechnology Co., Ltd) and 2019‐nCoV Antibody Test Kit (Innovita Biotechnology Co., Ltd). Above two kits were used for qualitative determination of specific antibodies by the latex agglutination ethod and the colloidal gold method, respectively. Patients have to meet the following criteria for hospital discharge: (a) temperature returned to normal for more than 3 days, (b) respiratory symptoms are relieved or resolved, (c) pulmonary computed tomography (CT) images show significant improvement in acute exudative lesions, and (d)two consecutive negative detections of respiratory SARS‐CoV‐2 (sample collection interval of at least 1 day).

Ethical approval

This study was approved by the Ethics Committee of HwaMei Hospital, University of Chinese Academy of Sciences. Written informed consents were obtained from all subjects. The procedures followed were in accordance with the ethical standards of the Helsinki Declaration.

Statistical analysis

Quantitative variables were presented as means ± standard deviation (SD) or median and interquartile range (IQR), and the differences between groups were evaluated with unpaired Student's t test or the Mann‐Whitney U test. Categorical variables were presented as absolute frequencies (n) and relative frequencies (%), and chi‐square tests or Fisher's exact test was used for categorical variables. The ANOVA test with Greenhouse‐Geisser correction was conducted to analyze repeated measures. All analyses were made by IBM SPSS statistics version 24.0.

RESULT

Demographic and clinical characteristics

The epidemiological and clinical data were presented in Table 1. The median age of the 98 patients was 52 years (IQR, 37.8‐59), and 55 (56.1%) patients were aged 50 years or older. There were 66 female patients (67.3%), with none of them pregnant. Among the 98 patients, 86 (87.8%) patients had contact with someone with confirmed or suspected SARS‐CoV‐2 infection. Most of the 98 patients had no underlying disease, whereas 18 (18.4%) patients had hypertension, 8 (8.2%) diabetes, 3 (3.1%) coronary heart disease, and 3 (3.1%) chronic hepatitis B.
TABLE 1

Demographics characteristics of convalescent patients

CharacteristicsAll patients (n = 98)Non‐re‐positive group (n = 81)Re‐positive group (n = 17) P
Age (years)
Median, interquartile range52 (37.8‐59)51.0 (36.5‐59)54.0 (44.0‐63.0).134
≥50 y55 (56.1)45 (55.6)10 (58.8)1.000
<50 y43 (43.9)36 (44.4)7 (41.2)
Gender (%)
Male32 (32.7)27 (33.3)5 (29.4).787
Female66 (67.3)54 (66.7)12 (70.6)
BMI (kg/m2)
Median, interquartile range23.7 (21.8‐26)23.8 (21.8‐26.0)23.4 (21.9‐26.8).434
>2814 (14.3)11 (13.4)3 (17.6).649
24‐2829 (29.6)25 (30.9)4 (23.5)
18.5‐2451 (52.0)42 (51.9)9 (52.9)
<18.53 (3.1)2 (2.5)1 (5.9)
Temperature on admission (°C)
Median, interquartile range37.1 (36.8‐37.7)37.1 (36.8‐37.8)36.8 (36.7‐37.2).039
Maximum temperature during hospitalization (°C)
Median, interquartile range37.9 (37.4‐38.4)37.9 (37.4‐38.4)37.8 (37.3‐38.3).003
Symptom
Fever (%)
Yes74 (75.5)62 (76.5)12 (70.6).757
No24 (24.5)19 (23.5)5 (29.4)
Nasal congestion (%)
Yes6 (6.1)6 (7.4)0 (0).586
No92 (93.9)75 (92.6)17 (100)
Cough (%)
Yes52 (53.1)44 (54.3)8 (47.1).605
No46 (46.9)37 (45.7)9 (52.9)
Fatigue (%)
Yes16 (16.3)12 (14.8)4 (23.5).469
No82 (83.7)69 (85.2)13 (76.5)
Chest pain and stuffiness (%)
Yes7 (7.1)5 (6.2)2 (11.8).601
No91 (92.9)76 (93.8)15 (88.2)
Diarrhea (%)
Yes8 (8.2)7 (8.6)1 (5.9)1.000
No90 (91.8)74 (91.4)16 (94.1)
Chronic hepatitis B (%)
Yes3 (3.1)3 (3.7)0 (0)1.000
No95 (96.9)78 (96.3)17 (100)
Coronary heart disease (%)
Yes3 (3.1)3 (3.7)0 (0)1.000
No95 (96.9)78 (96.3)17 (100)
Hypertension (%)
Yes18 (18.4)16 (19.8)2 (11.8).731
No80 (81.6)65 (80.2)15 (88.2)
Diabetes (%)
Yes8 (8.2)7 (8.6)1 (5.9)1.000
No90 (91.8)74 (91.4)16 (94.1)
Smoking (%)
Yes8 (8.2)8 (9.9)0 (0).344
No90 (91.8)73 (90.1)17 (100)
History of epidemiology (%)
Contacted with confirmed cases86 (87.8)71 (87.7)15 (88.2)1.000
Undiagnosed infection12 (12.2)10 (12.3)2 (11.8)

Data are presented as median and interquartile range (IQR) and n (%).

P values comparing non‐re‐positive cases and re‐positives cases are from Mann‐Whitney U test, chi‐squared test, and Fisher's exact test.

Abbreviation: BMI, body mass index.

Demographics characteristics of convalescent patients Data are presented as median and interquartile range (IQR) and n (%). P values comparing non‐re‐positive cases and re‐positives cases are from Mann‐Whitney U test, chi‐squared test, and Fisher's exact test. Abbreviation: BMI, body mass index. At onset of the illness, fever (75.5%) and cough (53.1%) were the most common symptoms. Other symptoms included chest pain and stuffiness (7.1%), nasal congestion (6.1%), fatigue (16.3%), and diarrhea (8.2%). The temperature on admission was 37.1℃ (IQR, 36.8‐37.7), and the maximum temperature during hospitalization was 37.9°C (IQR 37.4‐38.4). In the re‐positive group, the median age was 54 years (IQR, 44‐63), and 70.6% were females (Table 1). Less than 20% of re‐positive group patients had underlying disease including hypertension (2 [11.8%]) and diabetes (1 [5.9%]). There was no significant difference of initial clinical symptoms between re‐positive group and non‐re‐positive group.

Chest CT features

Chest computed tomography (CT) scan on admission showed that the lesions were more apparent in the peripheral zone of lungs (73/98, 74.5%) (Table 2). Most of the patients presented blurred edge (86/98, 87.8%) and solid or mixed density (80/98, 81.6%) for lesions. Seventy (70/98, 71.4%) patients had maximum diameter of the lesion >3 cm and 16 (16/98, 16.3%) patients between 1 and 3 cm. Seventy‐seven (77/98, 78.6%) patients had more than or equal to three pulmonary lesions. There was no statistically significant difference of imaging signs on admission between the two groups.
TABLE 2

Chest CT scan of convalescent patients at discharge

Chest CT

All patients

(n = 98) a

Non‐re‐positive group (n = 81)Re‐positive group (n = 17) P *
Distribution within lobes (%)
Peripheral73 (74.5)60 (74.1)13 (76.5)1.000
Peripheral + Central19 (19.4)15 (18.5)4 (23.5)
The maximum diameter of the lesion (%)
<1 cm6 (6.1)4 (4.9)2 (11.8).209
1‐3 cm16 (16.3)12 (14.8)4 (23.5)
>3 cm70 (71.4)59 (72.8)11 (64.7)
The number of pulmonary lesions (%)
<315 (15.3)12 (14.8)3 (17.6)1.000
≥377 (78.6)63 (77.8)14 (82.4)
The edge of lesion (%)
Clear edges6 (6.1)3 (3.7)3 (17.6).130
Blurred edges86 (87.8)72 (88.9)14 (82.4)
The density of lesion (%)
Ground glass opacity12 (12.2)9 (11.1)3 (17.6).822
Mixed ground glass opacity and consolidation80 (81.6)66 (81.5)14 (82.4)
Outcome (%)
Absorption rate <50%43 (43.9)31 (38.3)12 (70.6).029
Absorption rate ≥50%49 (50)44 (54.3)5 (29.4)

Abbreviation: CT, computed tomography.

Among the 98 convalescent patients, the number of patients with available image data was 92, so percentages do not total 100% owing to missing data.

Fisher exact probability method.

Chest CT scan of convalescent patients at discharge All patients (n = 98) Abbreviation: CT, computed tomography. Among the 98 convalescent patients, the number of patients with available image data was 92, so percentages do not total 100% owing to missing data. Fisher exact probability method. Patients who met criteria for hospital discharge or discontinuation of quarantine showed improvement in acute exudative lesions on chest CT images (Table 2). Pulmonary CT scan at discharge indicated that 54.3% (44/81) of patients in non‐re‐positive group, as opposed to only 29.4% (5/17) of patients in re‐positive group (P = .029) presented the absorption rate for acute exudative lesions greater than or equal to 50%. Non‐re‐positive group showed a better absorption for acute exudative lesions than positive group at discharge. It is worth mentioning that the chest CT of one case in re‐positive group presented recurrent symptoms with blurred image in the upper lobe of both lungs, more prominent on the left side during the convalescent period, but the severity of image is less than that of late period of hospitalization (Figure 1).
FIGURE 1

Chest CT findings of a 77‐y‐old woman with COVID‐19 pneumonia. The patient was hospitalized on February 2, 2020, after 3 d fever. Body temperature was normal and no other respiratory symptoms were observed during hospitalization. Positive RT‐PCR result of SARS‐Cov‐2 for sputum and pharyngeal swab specimens was first detected on February 5, 2020. A, Chest computed tomography (CT) on admission showed bilateral scattered patchy lesions under the pleura (February 2, 2020). B, After 7 d treatment, chest CT images showed substantial absorption of acute exudative lesions (February 9, 2020). Meanwhile, consecutive RT‐PCR tests of respiratory SARS‐Cov‐2 were negative on both February 9 and February 12, 2020. The patient was in postdischarge quarantine for further medical observation from February 12. C, Fever reappeared on February 24, 2020, and CT images demonstrated patchy lesions in upper lobe of bilateral lungs, especially in the left lung. RT‐PCR tests of SARS‐Cov‐2 for sputum and pharyngeal swab specimens were suspected positive on February 26, 2020, and the patient was re‐admitted for treatment (D) CT scan on February 28, 2020, showed lesions at upper lobe of bilateral lungs were almost absorbed. RT‐PCR tests for sputum and pharyngeal swab specimens were negative on February 29, 2020

Chest CT findings of a 77‐y‐old woman with COVID‐19 pneumonia. The patient was hospitalized on February 2, 2020, after 3 d fever. Body temperature was normal and no other respiratory symptoms were observed during hospitalization. Positive RT‐PCR result of SARS‐Cov‐2 for sputum and pharyngeal swab specimens was first detected on February 5, 2020. A, Chest computed tomography (CT) on admission showed bilateral scattered patchy lesions under the pleura (February 2, 2020). B, After 7 d treatment, chest CT images showed substantial absorption of acute exudative lesions (February 9, 2020). Meanwhile, consecutive RT‐PCR tests of respiratory SARS‐Cov‐2 were negative on both February 9 and February 12, 2020. The patient was in postdischarge quarantine for further medical observation from February 12. C, Fever reappeared on February 24, 2020, and CT images demonstrated patchy lesions in upper lobe of bilateral lungs, especially in the left lung. RT‐PCR tests of SARS‐Cov‐2 for sputum and pharyngeal swab specimens were suspected positive on February 26, 2020, and the patient was re‐admitted for treatment (D) CT scan on February 28, 2020, showed lesions at upper lobe of bilateral lungs were almost absorbed. RT‐PCR tests for sputum and pharyngeal swab specimens were negative on February 29, 2020

Laboratory findings and immunological indicators

On admission, 25.5%, 34.7%, and 23.5% of cases showed leucopenia (white blood cell count <4 × 109/L), lymphopenia (lymphocyte count <1.0 × 109/L), and platelet suppression (blood platelet count <150 × 109/L), respectively (Table 3). Re‐positive group presented elevated white blood cell count compared with non‐re‐positive group (P = .038). Meanwhile, more than half of the 98 cases showed elevated levels of hs‐CRP. However, increased levels of LDH (28.6%), procalcitonin(2%), aspartate aminotransferase (AST) (10.2%), alanine aminotransferase (ALT) (15.3%), total bilirubin (TBIL) (14.3%), creatine kinase (5.1%), creatinine (9.2%), D‐dimer (5.1%) were observed in a minority of the 98 convalescent patients, and no significant differences were discovered between re‐positive and non‐re‐positive group in these blood indicators at baseline.
TABLE 3

Laboratory findings of convalescent patients

CharacteristicsGroup

All patients

(n = 98)

Non‐re‐positive patients (n = 81)Re‐positive patients (n = 17) P
White blood cell count, ×109/L4.8 (3.9‐6)4.8 (3.9‐5.9)5.3 (4.1‐7.0).206
<425 (25.5)22 (27.2)3 (17.6).038
4‐1071 (72.4)59 (72.8)12 (70.6)
>102 (2.1)0 (0)2 (11.8)
Lymphocyte count, ×109/L1.2 (0.9‐1.5)1.1 (0.9‐1.5)1.2 (0.9‐1.7).362
<134 (34.7)30 (37.0)4 (23.5).403
>164 (65.3)51 (63.0)13 (76.5)
Platelet count, ×109/L197.5 (151.5‐246.8)198 (149.5‐244.5)177 (158‐278.5).768
<15023 (23.5)20 (24.7)3 (17.6).755
>15075 (76.5)61 (75.3)14 (82.4)
Hemoglobin, g/L132 (123.8‐141)132 (121.5‐141)133 (127‐142).694
Hypersensitive C–reactive protein, mg/L9.6 (2.7‐26.5)9.6 (2.7‐28.6)7.1 (1.9‐16.1).426
<637 (37.8)29 (35.8)8 (47.1).407
>656 (57.1)48 (59.3)8 (47.1)
Procalcitonin, ng/mL<0.594 (95.9)78 (96.3)16 (94.1)1.000
>0.52 (2.0)2 (2.5)0 (0)
Lactose dehydrogenase, U/L219 (174.8‐262)219 (174‐270)219 (174.5‐249.5).715
<25070 (71.4)57 (70.4)13 (76.5).771
>25028 (28.6)24 (29.6)4 (23.5)
Aspartate aminotransferase, U/L23 (17.8‐29)24 (19‐31)18 (15‐24).023
<4088 (89.8)72 (88.9)16 (94.1)1.000
>4010 (10.2)9 (11.1)1 (5.9)
Alanine aminotransferase, U/L20.5 (14.8‐30.3)21 (15‐31)19 (14‐24.5).267
<4083 (84.7)67 (82.7)16 (94.1).457
>4015 (15.3)14 (17.3)1 (5.9)
Total bilirubin, mmol/L9.5 (6.7‐13.8)9.3 (6.5‐14)9.7 (7.5‐12.6).862
<17.184 (85.7)68 (84.0)16 (94.1).453
>17.114 (14.3)13 (16.0)1 (5.9)
Creatine kinase, U/L56 (47.3‐69.1)80 (49.5‐104)76 (56.5‐89).722
<20093 (94.9)76 (93.8)17 (100).584
>2005 (5.1)5 (6.2)0 (0)
Creatinine, umol/L78 (50.3‐96.3)54.8 (46.3‐68.8)59.2 (48.7‐69.4).501
<8089 (90.8)74 (91.4)15 (88.2).653
>809 (9.2)7 (8.6)2 (11.8)
Urea, mmol/L4.2 (3.2‐4.9)4.1(3.3‐4.9)4.4 (3‐5.2).644
Sodium, mmol/L138.1 (136.6‐139.8)138 (136.7‐139.8)138.2 (135.6‐140.1).747
Potassium, mmol/L3.9 (3.5‐4.2)3.8 (3.5‐4.2)4 (3.6‐4.3).481
Chloride, mmol/L101 (99.3‐103.2)101.2 (99.5‐103.6)99.8 (97.9‐102.5).071
D‐dimer, mg/L100 (82.5‐161.8)100 (82‐157.9)100 (100‐241).460
<50087 (88.8)72 (88.9)15 (88.2).587
>5005 (5.1)5 (6.2)0 (0)

Data are presented as median and interquartile range (IQR) and n (%)

P values comparing non‐re‐positive group and re‐positive group are from Mann‐Whitney U test, chi‐squared, and Fisher's exact test

Percentages do not total 100% owing to missing data

Laboratory findings of convalescent patients All patients (n = 98) Data are presented as median and interquartile range (IQR) and n (%) P values comparing non‐re‐positive group and re‐positive group are from Mann‐Whitney U test, chi‐squared, and Fisher's exact test Percentages do not total 100% owing to missing data The changes of T lymphocyte subsets and Th1/Th2 cytokines during hospitalization and after discharge in re‐positive group and non‐re‐positive cases were compared (Table S1 and Table S2). The levels of CD3‐CD56 + NK cells at different time during hospitalization and follow‐up were overall higher in positive group than in non‐positive group (repeated measures ANOVA, P = .018) (Figure 2 and Table S3). The measures of cytokines at different times found that IL‐4, IL‐6, IL‐10, and TNF‐a increased on admission and declined during recovery. However, there was no statistically significant difference between re‐positive group and non‐re‐positive group (Table S4).
FIGURE 2

The repeated measures of CD3‐CD56 + NK cell. Difference of CD3‐CD56 + NK cell between the positive group and the non‐positive group was tested using repeated measures two‐way analysis of variance with Greenhouse‐Geisser correction

The repeated measures of CD3‐CD56 + NK cell. Difference of CD3‐CD56 + NK cell between the positive group and the non‐positive group was tested using repeated measures two‐way analysis of variance with Greenhouse‐Geisser correction

Treatment and outcomes

All patients received antiviral therapy during hospitalization, and the median time from onset of symptoms to antiviral therapy was 4 days (2‐8.75 days). Of the 98 patients, 71 (72.4%) patients were given chloroquine phosphate treatment, 96 (98%) lopinavir‐ritonavir treatment, and 93 (94.9%) arbidol hydrochloride treatment (Table 4).
TABLE 4

Treatment and outcomes of convalescent patients

CharacteristicsAll patientsNon‐re‐positiveRe‐positive patients P
(n = 98)patients (n = 81)(n = 17)
Antiviral therapy
Time from onset of symptoms to antiviral therapy (days)4.0 (2.0‐8.75)4 (2‐9)4 (2‐7.5).780
Chloroquine phosphate (%)
Yes71 (72.4)58 (71.6)13 (76.5)
No27 (27.6)23 (28.4)4 (23.5).774
Lopinavir‐ritonavir (%)
Yes96 (98.0)79 (97.5)17 (100)
No2 (2.0)2 (2.5)0 (0)1.000
Arbidol hydrochloride (%)
Yes93 (94.9)77 (95.1)16 (94.1)
No5 (5.1)4 (4.9)1 (5.9)1.000
Outcomes
Length of the hospital stay (days)15 (13‐19)15 (13‐19)14 (10‐18.5).437
Time from discharge to nucleic acid re‐positive (days)4 (3‐8.5)
Time from onset of symptoms to final negative RT‐PCR test results (days)21 (17, 28)19 (16‐26)34 (29.5‐42.5)<.001
IgM/IgG antibodies (%)
Positive IgM and IgG antibodies13 (13.3)7 (8.6)6 (35.3).164
Negative IgM and IgG antibodies3 (3.1)2 (2.5)1 (5.9)
Negative IgM and positive IgG antibodies46 (46.9)36 (44.4)10 (58.8)
Time from onset of symptoms to IgM antibody disappeared (days)46 (40.5, 50)46 (38.5, 50)44.5 (40.25, 55.5).966
Time from antiviral therapy to IgM antibody disappeared (days)39 (32.75, 45.25)39 (33, 45.25)39 (31.25, 46.5).951

Data are presented as median and interquartile range (IQR) or n (%).

P values comparing non‐re‐positive cases and re‐positives cases are from Mann‐Whitney U test and Fisher's exact test.

Percentages do not total 100% owing to missing data.

Treatment and outcomes of convalescent patients Data are presented as median and interquartile range (IQR) or n (%). P values comparing non‐re‐positive cases and re‐positives cases are from Mann‐Whitney U test and Fisher's exact test. Percentages do not total 100% owing to missing data. Overall, the length of hospital stay was 15 days at median (IQR, 13‐19), and no significant differences were discovered between the two groups in the length of hospital stay. Among 17 cases with re‐positive RT‐PCR test results, the median time from discharge to nucleic acid re‐positive was 4 days (IQR, 3‐8.5), and notably, one of the cases had re‐positive results 17 days after discharge. The time from onset of symptoms to final negative detection of respiratory SARS‐CoV‐2 was 21 days (IQR, 17‐28), and the time was significantly longer in re‐positive group (34 days [IQR, 29.5‐42.5]) than in non‐re‐positive group (19 days [IQR, 16‐26]). Temporal changes of SARS‐CoV‐2–specific IgM and IgG antibodies were detected in 62 convalescent patients (Table 4). The results revealed that both antibodies remained continuously positive in 13 (13.3%) convalescent patients, while continuously negative in 3 (3.1%). Meanwhile, the specific IgG antibodies were presented in 46 (46.9%) convalescent patients and persisted for 4 weeks postdischarge, but specific IgM antibodies changed to negative during follow‐up period. The time from onset of clinical symptoms to IgM antibody disappeared was 46 days at median (IQR, 40.5‐50). No significant differences in dynamics of specific antibodies were observed between the re‐positive group and non‐re‐positive group groups.

DISCUSSION

Lan et al first reported the positive results to detection of COVID‐19 nucleic acid in convalescent patients after meeting the criteria for hospital discharge or discontinuation of quarantine. According to our data, 17 (17.3%) discharged cases who met the criteria for hospital discharge or discontinuation of quarantine in China presented positive results to detection of SARS‐CoV‐2. The median time from discharge to nucleic acid positive was 4 days (IQR, 3‐8.5). Of note, one of the cases had positive RT‐PCR test results 17 days after discharge. All discharged patients in HwaMei Hospital, University of Chinese Academy of Sciences, were under medical observation for 14 days at special isolation sites and then another 14 days of home isolation with special care. A period of isolation and medical observation for convalescent patients is essential to understanding more about COVID −19 and to preventing possible spread of the disease. No significant differences of initial clinical symptoms and chest CT scans between re‐positive group and non‐re‐positive group on admission were observed. However, non‐positive group showed a better absorption for acute exudative lesions than positive group at recovery period. Feng Panet al reported four stages from onset of initial pneumonia to recovery in patients with COVID‐19 pneumonia: early stage (0‐4 days after onset of symptoms), progressive stage (5‐8 days after onset of symptoms), peak stage (9‐13 days after onset of symptoms), and absorption stage (≥14 days after onset of symptoms). Noticeably, a case report also found that progressive absorption of parenchymal lesions occurred approximately 12 days after onset of symptoms. Our study revealed that slow absorption of lung lesions in patients may be associated with persistent positive RT‐PCR test results. So, the result of CT scan is also one of the most valuable references for discharge, but how to quantify the CT scan requires further investigation. In re‐positive group, the chest CT scans of one nucleic acid–positive patient presented recurrent lesions accompanying with fever and throat pain, which can be defined as relapse, and which means the return of symptoms after they have apparently ceased during convalescence caused by the multiplication of pathogen. However, more cases are needed to confirm this phenomenon. Additionally, the overall levels of CD3‐CD56 + NK cells during hospitalization and rehabilitation were higher in re‐positive group than in non‐re‐positive group. NK cells are critical for innate antiviral immune defense due to their cytotoxic function and production of the pro‐inflammatory factors IL‐4 and IFN‐γ. , , Previous studies had shown that NK cells played a key role in the pathogenesis of acute lung injury and they could induce antifibrosis signal in the lungs to counteract the fibrogenic activity of transforming growth factor‐β (TGF‐β) by producing IFN‐γ. However, Kim JH et al disclosed that NK cells accelerate immune complex‐induced acute lung injury by stimulating production of MIP‐1 through both autocrine and paracrine mechanisms, and by enhancing cytokine production from alveolar macrophages and CD11c + dendritic cells (DCs). In the present study, we found that patients with re‐positive (SARS‐CoV‐2) nucleic acid had a higher amount of NK cells. NK cells activation may be vital to the induction of adaptive immune responses that have the potential of clearing the infection. The mechanism of NK cell‐mediated immune response after SARS‐CoV‐2 infection needs to be elucidated in the future. Our study has several limitations. First, our study was conducted in convalescent patients with mild or moderate COVID‐19. Second, further follow‐up study needs be conducted among these patients. Third, our study was limited to a small number of patients in Ningbo city, Zhejiang province. Multi‐center research on a larger cohort is warranted in future study.

CONCLUSIONS

In conclusion, SARS‐CoV‐2 nucleic acid can still be detected in a small proportion of convalescent patients based on our study. Relapse might occur in COVID‐19 patients. Strict quantification of pulmonary CT evaluation of inflammation absorption may improve the discharge criteria. Continuous quarantine and follow‐up for convalescent patients are necessary to control possible spread to some extent.

CONFLICT OF INTEREST

The authors declare that they have no competing interests.

AUTHORS' CONTRIBUTIONS

Honghua Ye and Ting Cai designed the study. Zhu Hui and Liyun Fu analyzed the data and drafted the manuscript. Yinhua Jin, Jiale Shao, Shun Zhang, Nanhong Zheng, Lingyan Fan, Zhe Yu, Jun Ying, Jianjun Zheng, Yaoren Hu, Tongen Chen, Yanglingzi Chen, Min Chen, Mingjue Chen, Zi Xiong, Junfei Kang and Jiachang Jin contributed to the acquisition of subjects and data. Hui Zhu and Liyun Fu contributed to analysis and interpretation of data. Honghua Ye has primary responsibility for the final content. Tab S1 Click here for additional data file. Tab S2 Click here for additional data file. Tab S3 Click here for additional data file. Tab S4 Click here for additional data file. Supinfo Click here for additional data file.
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