Skip to main content
  • Research article
  • Open access
  • Published:

Clinical characteristics of coronavirus disease 2019 (COVID-19) in patients out of Wuhan from China: a case control study

Abstract

Background

A large-scale global outbreak of coronavirus disease-19 (COVID-19) out of Wuhan, from China, occurred in January 2020. To examine the clinical characteristics of COVID-19 in infected patients out of Wuhan, from China.

Methods

Thirteen patients were confirmed to be infected with novel coronavirus-2019 (2019-nCoV) between January 27 and February 8, 2020, in Baoji city, Shannxi, northwestern China. Epidemiological and clinical information, and computed to morphology imaging data from all COVID-19 patients were collected; cases were divided into two groups according to the severity of infection (mild or severe).

Results

Nine (9/13) COVID-19 patients exhibited mild disease severity, and defined as second-generation human-to-human transmission cases. Most patients (11/13) had a history of travel to or from Wuhan. There were no differences in sex and age between the mild and severe cases (all P > 0.05). A moderate degree of fever (11/13), cough (13/13), and fatigue (8/13) were common symptoms; however, there was no statistical difference between mild and severe cases in this regard (all P > 0.05). Oxyhemoglobin saturation and oxygenation index decreased, and C-reactive protein (CRP) and serum amyloid A (SAA) levels were elevated in all patients with COVID-19 infection, with statistically significant differences between those with severe disease and mild infection (all P < 0.05). Twelve of 13 COVID-19 patients exhibited changes in chest CT imaging features, and time course changes were different between mild and severe cases (all P < 0.05).

Conclusion

Most cases of COVID-19 infection were second-generation human-to-human transmissions from Wuhan and were mild in severity. The clinical characteristics of COVID-19 varied. Oxyhemoglobin saturation, oxygenation index, CRP and SAA levels, and CT features were reliable parameters to evaluate the severity of COVID-19 infection. However, a few patients with mild COVID-19 disease lacked typical characteristics such as fever and changes in CT imaging features.

Peer Review reports

Background

A few cases of pneumonia associated with exposure to the Wuhan Seafood market (Wuhan, China) were reported and found to be caused by novel coronavirus-2019 (2019-nCoV) in December 2019 [1, 2]. The 2019-nCoV infection emerged on a large scale from Wuhan and spread all over the world in January 2020, and is now known to transmitted by person-to-person contact [3]. The World Health Organization (WHO) declared the outbreak of 2019-nCoV to be a public health emergency of international concern on January 30, 2020. The novel coronavirus was of lineage B of the genus beta-coronavirus of the coronavirus family, of which severe acute respiratory syndrome-related coronavirus (SARS-CoV) and Middle East respiratory syndrome-related coronavirus (MERS-CoV) are also included [4]. The International Committee on Taxonomy of Viruses defined it as SARS-CoV-2 on February 11, 2020. The WHO also defined “coronavirus disease 2019” (COVID-19) in patients infected with 2019-nCoV on the same day. SARS-CoV-2 is the third most fatal virus in the coronavirus family, which is weaker than MERS-CoV (37% fatality rate) and SARS-CoV (10% fatality rate) [5, 6]. A recent study reported that fever, cough, and fatigue are common symptoms among patients infected with COVID-19 [1]. However, the clinical characteristics of patients with COVID-19 remain unclear. Moreover, whether the clinical characteristics of COVID-19 are different from those of Wuhan and other regions of China has not yet been reported.

Accordingly, the present study aimed to examine the clinical characteristics of COVID-19 infection in patients out of Wuhan, Hubei, from China. We collected and analyzed data from COVID-19 cases in Baoji city, Shaanxi, northwestern China.

Methods

Patients

Thirteen patients admitted to Baoji Central Hospital were confirmed to be infected with 2019-nCoV using real-time polymerase chain reaction (PCR) technique sat the Baoji City Center for Disease Control and Prevention (CDC) between January 27 and February 8, 2020. Initial onset of disease symptoms occurred from January 18 to February 4, 2020.

Examinations

Clinical biomedical information, including routine blood work-up, C-reactive protein (CRP), procalcitonin (PCT) and serum amyloid protein A (SAA), and computed tomography (CT) imaging of all COVID-19 patients with the CDC laboratory-confirmed infection with 2019-nCoV were collected at the earliest possible time.

According to the China precept on diagnosis and treatment of novel coronavirus pneeumoia (Revised criteria, fifth edition), COVID-19 patients with severe respiratory distress (respiratory rate ≥ 30 breaths/min), hypoxemia oxyhemoglobin saturation ≤ 93%, partial pressure of arterial oxygen (PaO2)/oxygen saturation (SpO2) ≤ 300 mmHg, respiratory failure, shock, and multiple organ dysfunction syndrome was defined as severe COVID-19 infection [7].

The present study was approved by the Institutional Ethical Committee of Baoji Central Hospital. Verbal and written informed consents were obtained from all COVID-19 patients and/or their family members.

Statistical analysis

Statistical analysis was performed using SPSS version 25.0 (IBM Corporation, Armonk, NY, USA) for Windows (Microsoft Corporation, Redmond, WA, USA). Continuous variables are expressed as mean ± standard deviation (SD) and were compared using the Student’s t test. Categorical variables are presented as proportions and percentages. Categorical variables were compared using the chi-squared test and rank sum test, respectively. Differences with P < 0.05 (two-sided) was considered to be statistically significant.

Results

Epidemiological characteristics of COVID-19 patients

A total of 13 patients with COVID-19 infection (7 male and 6 female; sex ratio 1:1.17; mean age [± SD] age, 49.54 ± 10.85 years [range 27–71 years]) were examined. Most patients were employees or farmers, and had a history of travel to or from Wuhan, or other cities in Hubei province within the preceding 2 weeks. Patients out of Wuhan or Hubei province, most COVID-19 cases were second-generation human-to-human transmissions. Disease duration ranged from 3 to 11 days, mean 6.23 ± 2.42 days (initial onset to confirmation of infection with 2019-nCoV). Most patients, who were from Wuhan or Hubei, were diagnosed with mild COVID-19 infection (Table 1).

Table 1 Epidemiological characteristics of COVID-19 patients

In those with mild COVID-19 infection, there was no difference in sex; most severe COVID-19 cases were male; however, this difference was not statistically significant (P > 0.05) (Table 2). There were also no differences in age and disease duration between the mild and severe COVID-19 cases (all P > 0.05) (Table 3).

Table 2 Gender characteristics of different severity of COVID-19
Table 3 Ages and diagnosis time in different severity of COVID-19 cases

Characteristics of clinical symptoms in COVID-19 patients

All COVID-19 patients exhibited symptoms of cough, and most had a moderate degree of fever (38.0–39.0 °C); however, two did not exhibit fever. Most of those infected with COVID-19 and exhibited fever varying from 1 to 9 days (mean 3.09 ± 3.21 days), and persisting 4 to 11 days (mean 7.55 ± 3.08 days). Fever was not the only screening criterion for COVID-19 infection. Almost one-half of COVID-19 patients exhibited expectoration, fatigue, and gastrointestinal symptoms such as anorexia, nausea, vomiting, and diarrhea. One of the COVID-19 patients experienced dyspnea and pharyngalgia. Most patients’ oxyhemoglobin saturation (90–98% [mean 95.77 ± 2.74%) and oxygenation index (203–462 mmHg [mean 324.11 ± 96.20 mmHg]) were decreased in the early period of 2019-nCoV infection.

More than one-half of patients infected by COVID-19 had one to three concomitant diseases, such as hypertension, diabetes, and/or cerebral infarction. One patient exhibited acute mental disorder; as such, devoting attention both physiological and mental disorders in COVID-19 patients is important (Table 4).

Table 4 Clinical symptoms and concomitant diseases in COVID-19 patients

Characteristics of clinical symptoms and severity of COVID-19 patients

Cough and fever were common clinical manifestations of COVID-19. There were no differences between mild and severe cases; however, a few patients with mild COVID-19 disease did not exhibit fever. Severe COVID-19 cases were more likely to experience expectoration and fatigue; however, the difference was not statistically significant (all P > 0.05). Oxyhemoglobin saturation and oxygenation were both sensitive indices for identification of mild and severe COVID-19 (all P < 0.05). Patients with severe COVID-19 were significantly more likely to exhibit hypoxia and respiratory distress (Table 5).

Table 5 Clinical symptoms in different severity of COVID-19 cases

The present study also confirmed that patients with concomitant diseases were more likely to deteriorate in the early stages of COVID-19 infection (P < 0.05) (Table 6).

Table 6 Concomitant diseases in different severity of COVID-19 cases

Clinical biomedical characteristics of COVID-19 patients

In the early period of COVID-19 infection, routine blood work-up, including white blood cells, neutrophils, lymphocytes and monocytes, did not change significantly, and white blood cells and neutrophils were higher in severe cases than in mild cases (all P < 0.05).

PCT levels did not increase in the early period of COVID-19 infection, and there was no difference between those with mild and severe disease. In contrast, CRP and SAA levels increased rapidly in all COVID-19 cases, and the levels of these two biomarkers were significantly higher in those with severe disease than in mild cases (all P < 0.05). As such, CRP and SAA may be sensitive indices for detecting COVID-19 and classifying disease severity (Table 7).

Table 7 Blood biomedical characteristics of COVID-19 patients

CT imaging changes in COVID-19 patients

Almost every COVID-19 patient exhibited imaging changes on chest CT scans, with bilateral lung lesions in severe cases, with both unilateral and bilateral lung lesions in patients with mild infection. However, one patient with mild disease did not exhibit significant lung lesions (u- = 3.1542, P < 0.05).

Chest CT scan image changes, such as multiple patchy sub-segmental or segmental ground-glass opacities, shadows or consolidations in the bilateral lung, were found among COVID-19 patients. Five days after confirmation of infection with 2019-nCoV, CT imaging revealed that shadows or consolidations were absorbed in the lungs in more than one-half of mild cases; however, this was exacerbated in most severe cases (u- = 1.9748, P < 0.05). Chest CT scan was an effective method to examine and evaluate the severity of COVID-19 infection (Table 8 and Fig. 1).

Table 8 CT imaging changes in COVID-19 patients
Fig. 1
figure 1

Chest CT scan image changes in COVID-19 Patients. At the day of confirm infection of 2019-nCoV, chest CT showed that multiple patchy sub-segmental or segmental ground-glass density shadow and consolidation were in bilateral lung (a severe cases & c mild cases); b Severe COVID-19 patient 5 days after confirm infection of 2019-nCoV, ground-glass density shadow and consolidation in bilateral lung was exacerbation; d Mild COVID-19 patient 5 days after confirm infection of 2019-nCoV, ground-glass density shadows in bilateral lung was absorbed

Discussion

In the present study, 13 individuals were confirmed to be infected with 2019-nCoV using real-time PCR techniques. Studies have shown that real-time PCR is one of the most accurate and effective methods to detect 2019-nCoV infection [3, 8]. Most patients with COVID-19 (11 of 13 cases) in the present study either traveled to Wuhan, Hubei, or were exposed to an individual who returned from Hubei in early January 2020. Two patients had no history of travel or contract during the time period. Most COVID-19 patients out of Wuhan or Hubei were cases involving second-generation human-to-human transmission that have been to Hubei or were exposed to one or more Hubei COVID-19 infection patients. The duration from initial onset to confirm infected 2019-nCoV was 3–11 days (mean 6.23 ± 2.42 days), and there were no statistical differences between mild and severe cases. There was potentially large first-generation human-to-human 2019-nCoV transmission in Wuhan, and Wuhan was also the major hub for the spread of the 2019-nCoV outbreak in other cities for approximately 1–2 weeks [9,10,11,12].

Results of our study suggest that there are no differences between age and sex with 2019-nCoV infection and the severity of COVID-19. However, patients with concomitant diseases, such as hypertension, diabetes and/or cerebral infarction, were significantly more likely to develop severe COVID-19-related disease. Another study suggested that elderly individuals experience faster disease progression and death [13].

A moderate degree of fever (38.0–39.0 °C), cough, fatigue, and gastrointestinal symptoms, such as anorexia, nausea, vomiting and diarrhea, were common symptoms among COVID-19 patients. A few patients experienced expectoration, dyspnea, and pharyngalgia, among others, which was similar to previous reports [3, 4]. However, in our study, two patients with mild COVID-19 infection did not exhibit fever, suggesting that fever was not the only clinical characteristic of COVID-19, which was different from COVID-19 patients in Wuhan [1, 14]. There is a difference between mild and severe cases in terms of degree of fever, days of persistent fever, cough, expectoration, fatigue, and other symptoms. Oxyhemoglobin saturation and oxygenation index are sensitive markers to evaluate the severity of COVID-19. Oxyhemoglobin saturation and oxygenation index decreased in the early period in cases with severe COVID-19; in contrast, most mild cases were normal [15].

CRP and SAA levels maybe effective biomedical indices for detecting COVID-19 infection. CRP and SAA levels increased rapidly during the early period of 2019-nCoV infection; moreover, indices of severe cases increased to higher levels than those with mild disease. However, white blood cells, neutrophils, lymphocytes, and monocytes demonstrated no significant changes during the early period of infection in both mild and severe cases. PCT levels also did not change.

Most COVID-19 patients in our study exhibited significant changes in chest CT imaging features. Chest CT is very important for the initial diagnosis of COVID-19 [16]. Chest CT may be helpful in diagnosing individuals with high clinical suspicion of 2019-nCoV infection but negative RT-PCR screening [17]. Typical CT imaging features include ground-glass densities, shadows or consolidations in both lungs [18, 19]. A recent study reported that in patients with mild COVID-19 infection, lung abnormalities on chest CT scan would recover approximately 10 days after the initial onset of symptoms [17]. In our study, most patients with mild COVID-19 (n = 5) chest CT abnormalities were gradually absorbed 5 days after confirmation of infection; however, most patients with severe disease experienced exacerbation of symptoms.

However, one mild COVID-19 case showed no significant chest CT image changes, which differed from Wuhan COVID-19 patients [20].

Conclusions

In conclusion, results of the present study confirmed that most COVID-19 infections were second-generation human-to-human transmissions from other cities in China out of Wuhan, Hubei. The typical clinical characteristics of COVID-19 include a moderate degree of fever (37.3–38.0 °C), cough, fatigue, and gastrointestinal symptoms. Oxyhemoglobin saturation and oxygenation index changed significantly in severe cases. Serum levels of CRP and SAA were reliable biomarkers to evaluate the severity of COVID-19 infection. Chest CT was another effective method of detecting infection with 2019-nCoV. However, a few patients with mild COVID-19 disease without fever and CT imaging changes require the combination of additional screening methods.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

2019-nCoV:

Novel Coronavirus-2019

WHO:

World Health Organization

SARS-CoV:

Severe acute respiratory syndrome-related coronavirus

MERS-CoV:

Middle East respiratory syndrome-related coronavirus

COVID-19:

Coronavirus disease 2019

CRP:

C-reactiveprotein

PCT:

Procalcitonin

SAA:

Serum amyloid A

CT:

Computed tomography

References

  1. Huang CL, Wang YM, Li XW, Ren LL, Zhao JP, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395(10223):497–506.

    CAS  PubMed  PubMed Central  Google Scholar 

  2. Li Q, Guan XH, Wu P, Wang XY, Zhou L, Tong YQ, et al. Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia. N Engl J Med. 2020;382(13):1199–207.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Liu YX, Yang Y, Zhang C, Huang FM, Wang FX, Yuan J, et al. Clinical and biochemical indexes from 2019-nCoV infected patients linked to viral loads and lung injury. Sci China Life Sci. 2020;63(3):364–74.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Zhu N, Zhang DY, Wang WL, Li XW, Yang B, Song JD, et al. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med. 2020;382(8):727–33.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Jiang Y, Xu J, Zhou CZ, Wu ZG, Zhong SQ, Liu JH, et al. Characterization of cytokine/ chemokine profiles of severe acute respiratory syndrome. Am J Respir Crit Care Med. 2005;171(8):850–7.

    Article  PubMed  Google Scholar 

  6. Niu PH, Zhao GY, Deng Y, Sun SH, Wang WL, Zhou YS, et al. A novel human mAb (MERS-GD27) provides prophylactic and postexposure efficacy in MERS-CoV susceptible mice. Sci China Life Sci. 2018;61(10):1280–2.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. National Health Commssion of the People’s Republic of China, 2020. Precept on diagnosis and treatment of novel coronavirus pneeumoia (the fifth version; revision version). Available from: http://www.nhc.gov.cn/yzygj/s7653p/202002/d4b895337e19445f8d728fcaf1e3e13a.shtml.

    Google Scholar 

  8. Corman VM, Landt O, Kaiser M, Molenkamp R, Meijer A, Chu DK, et al. Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. Euro Surveill. 2020;25(3):2000045.

    Article  PubMed Central  Google Scholar 

  9. Li XG, Zai JJ, Wang XM, Li Y. Potential of large ‘first generation’ human-to-human transmission of 2019-nCoV. J Med Virol. 2020;92(4):448–54.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Joseph TW, Kathy L, Gabriel ML. Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study. Lancet. 2020;395(10225):689–97.

    Article  Google Scholar 

  11. Zhao S, Lin QY, Ran JJ, Musa SS, Yang GP, Wang WM, et al. Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: a data-driven analysis in the early phase of the outbreak. Int J Infect Dis. 2020;92:214–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Zhou T, Liu QH, Yang ZM, Liao JY, Yang KX, Bai W, et al. Preliminary prediction of the basic reproduction number of the Wuhan novel coronavirus 2019-nCoV. J Evid Based Med. 2020;13(1):3–7.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Wang WE, Tang JM, Wei FQ. Updated understanding of the outbreak of 2019 novel coronavirus (2019-nCoV) in Wuhan, China. J Med Virol. 2020;92(4):441–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Chen NS, Zhou M, Dong X, Qu JM, Gong FY, Han Y, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507–13.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Jin YH, Cai L, Cheng ZS, Cheng H, Deng T, Fan YP, et al. A rapid advice guideline for the diagnosis and treatment of 2019 novel coronavirus (2019-nCoV) infected pneumonia (standard version). Mil Med Res. 2020;7(1):4.

    CAS  PubMed  PubMed Central  Google Scholar 

  16. Pan YY, Guan HX. Imaging changes in patients with 2019-nCov. Eur Radiol. 2020;30(7):3612–3.

    Article  CAS  PubMed  Google Scholar 

  17. Xie XZ, Zhong Z, Zhao W, Zheng C, Wang F, Liu J. Chest CT for typical 2019-nCoV pneumonia: relationship to negative RT-PCR testing. Radiology. 2020;296(2):E41–5.

    Article  PubMed  Google Scholar 

  18. Duan YN, Qin J. Pre- and posttreatment chest CT findings: 2019 novel coronavirus (2019-nCoV) pneumonia. Radiology. 2020;295(1):21.

    Article  PubMed  Google Scholar 

  19. Michael C, Adam B, Mei XY, Zhang N, Huang MQ, Zeng XJ, et al. CT imaging features of 2019 novel coronavirus (2019-nCoV). Radiology. 2020;295(1):202–7.

    Article  Google Scholar 

  20. Pan YY, Guan HX, Zhou SC, Wang YJ, Li Q, Zhu TT, et al. Initial CT findings and temporal changes in patients with the novel coronavirus pneumonia (2019-nCoV): a study of 63 patients in Wuhan, China. Eur Radiol. 2020;30(6):3306–9.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank all participants for their assistance in this study.

Funding

This study was no funding grant supported.

Author information

Authors and Affiliations

Authors

Contributions

HZ, FD, XJC, XLF, HPZ, ZW, BFW, HJZ, RL, JJY, BN, KC, ZPH performed the research; KC contributed essential reagents or tools; ZPH designed the research study, analyzed the data and wrote the paper. All authors have read and approved the manuscript and ensure that this is the case.

Corresponding authors

Correspondence to Kai Chen or Zhen-peng Huang.

Ethics declarations

Ethics approval and consent to participate

The present study was approved by the Institutional Ethical Committee of Baoji Central Hospital. Specialist physicians explained the informed consent to patients and/or their family members such that they were able to understand the informed consent independently, after obtaining patients and/or their family members verbal consent, patients and/or their family members signed on the printed version informed consent form. Verbal and written informed consent were obtained from all COVID-19 patients and/or their family members.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, H., Du, F., Cao, Xj. et al. Clinical characteristics of coronavirus disease 2019 (COVID-19) in patients out of Wuhan from China: a case control study. BMC Infect Dis 21, 207 (2021). https://doi.org/10.1186/s12879-021-05897-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12879-021-05897-z

Keywords