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Six-month follow-up of functional status in discharged patients with coronavirus disease 2019

BMC Infectious Diseases volume 21, Article number: 1271 (2021) Cite this article

Abstract

Background

The long-term functional outcome of discharged patients with coronavirus disease 2019 (COVID-19) remains unresolved. We aimed to describe a 6-month follow-up of functional status of COVID-19 survivors.

Methods

We reviewed the data of COVID-19 patients who had been consecutively admitted to the Tumor Center of Union Hospital (Wuhan, China) between 15 February and 14 March 2020. We quantified a 6-month functional outcome reflecting symptoms and disability in COVID-19 survivors using a post-COVID-19 functional status scale ranging from 0 to 4 (PCFS). We examined the risk factors for the incomplete functional status defined as a PCFS > 0 at a 6-month follow-up after discharge.

Results

We included a total of 95 COVID-19 survivors with a median age of 62 (IQR 53–69) who had a complete functional status (PCFS grade 0) at baseline in this retrospective observational study. At 6-month follow-up, 67 (70.5%) patients had a complete functional outcome (grade 0), 9 (9.5%) had a negligible limited function (grade 1), 12 (12.6%) had a mild limited function (grade 2), 7 (7.4%) had moderate limited function (grade 3). Univariable logistic regression analysis showed a significant association between the onset symptoms of muscle or joint pain and an increased risk of incomplete function (unadjusted OR 4.06, 95% CI 1.33–12.37). This association remained after adjustment for age and admission delay (adjusted OR 3.39, 95% CI 1.06–10.81, p = 0.039).

Conclusions

A small proportion of discharged COVID-19 patients may have an incomplete functional outcome at a 6-month follow-up; intervention strategies are required.

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Background

Coronavirus disease 2019 (COVID-19) due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection was firstly reported in Wuhan, China in December 2019 [1]. As of 9 September 2021, the COVID-19 pandemic has spread worldwide, affecting more than 220 million people and killing over four millions lives [2]. Aggregating studies have shown that most SARS-CoV-2 infection was mild and moderate, which seems to have a positive recovery rate [3,4,5]. Previous studies with short-term follow-up data showed that a few discharged COVID-19 patients were re-positive for SARS-nCoV-2 detected by reverse transcription-polymerase chain reaction (RT-PCR) analysis [6, 7]. Moreover, in addition to physical damage, some COVID-19 patients may suffer from psychological impairment including sleep disorder, depression and anxiety after discharge [8, 9]. Previous studies also showed that discharged COVID-19 patients might have incompletely absorbed computed tomography (CT) findings, and some may develop residual pulmonary fibrosis [10, 11]. Moreover, a retrospective study showed that more than half of the COVID-19 patients in the early convalescence phase had impaired diffusing-capacity, lower respiratory muscle strength, and lung imaging abnormalities [12]. Patients with other coronavirus infection like severe acute respiratory syndrome (SARS) or Middle East respiratory syndrome (MERS) may have long-term persistent radiographic abnormalities in their lungs [13, 14]. It is reasonable to imagine that some COVID-19 patients may have adverse functional outcomes despite recovery. To our knowledge, the follow-up advice for those testing positive for COVID-19 is lacking, and the long-term functional status in COVID-19 survivors remains poorly understood. We aimed to describe a six-month follow-up of the functional status of COVID-19 patients after discharge in this retrospective cohort study.

Methods

Study design, participants and data collection

In this retrospective single-center observational study, we collected the demographic and clinical data of laboratory-confirmed COVID-19 patients who had been consecutively admitted to the Tumor Center of Union Hospital (Wuhan, China) between 15 February and 14 March 2020. The extraction and analysis of baseline data regarding demographic and clinical characteristics were documented in our previous published literature [15, 16]. Severe COVID-19 was defined as fever or suspected respiratory infection, plus one of: respiratory rate > 30 breaths/min; severe respiratory distress; or SPO2 ≤ 93% on room air based on the interim guidance of the World Health Organization [17]. The discharge criteria were as follows: 1. Normal body temperature for more than three days; 2. Significantly improved respiratory symptoms, 3. Substantial lung inflammation absorption on chest CT image, 4. Two consecutive negative results of nucleic acid tests for SARS-CoV-2 from the respiratory samples separated by at least one day [18]. We obtained and clarified data by direct communication with attending physicians and the healthcare providers when data were missing or uncertain from the medical records. We excluded patients if they did not undergo a post-COVID-19 functional status scale (PCFS) interview at six-month follow-up after discharge or had a PCFS > 0 at baseline (one month before the onset of COVID-19 symptoms).

Follow-up

Patients were followed-up at a 6-month after discharge. The PCFS was designed as a measure to focus on relevant aspects of daily life during follow-up in COVID-19 patients [19, 20]. Briefly, we asked four questions to our participants or their caregivers: 1. Can you live alone without any assistance from another person? 2. Are there any duties and/or activities at home or at work which you are no longer able to perform yourself? 3. Do you suffer from symptoms, pain, depression or anxiety? 4. Do you need to avoid or reduce duties and/or activities or spread these over time? Based on the answers to these questions, the PFCS grades (0, 1, 2, 3, 4) were generated (Table 1). Grade 0 reflects the absence of any functional limitation, grade 1 and 2 mirror negligible to mild functional limitation, while grade 3 and 4 reflect moderate to severe limitation of functional status [20]. Two trained authors (S.F. and H.L.) who were blinded to the baseline routine clinical data performed the structured interview with participants by one telephone (with 'hand-free' function) interview in a quiet room at the same time at six-month after discharge, based on the PCFS manual (version May 2020) [20]. In case of disagreement, a consensus was reached after team discussion. We assessed inter-rater agreement on a random sample using Cohen’s Kappa coefficient.

Table 1 Post-COVID-19 Functional Status Scale
Full size table

Outcomes

Our primary outcome was the functional status of the COVID-19 patients at a six-month follow-up by using a PCFS interview [19].

Statistics

We summarized continuous data with mean value with standard deviations or median value with interquartile range (IQR), and categorized data as counts with percentages. We used the t-test or Mann–Whitney test to compare the differences in continuous variables, and the chi-square test or Fisher's exact test to compare the differences in categorical variables as appropriate. To permit a comparison, we dichotomized patients into complete (PCFS = 0) and incomplete (PCFS > 0) functional status at six-months follow-up after discharge. We included potentially significant variables if p ≤ 0.2 by univariable analysis into the multivariable logistic regression model, to investigate the factors for the incomplete functional (PCFS > 0). All statistics were performed using SPSS for windows 22.0 (IBM, Inc, USA).

Results

We consecutively enrolled a total of 164 patients with laboratory-confirmed COVID-19 between 15 February and 14 March 2020. After excluding seven non-survivors and 53 lost to follow-up or did not undergo the PCFS interview, 104 patients (53 [50.9%] male) with a median age of 62 (IQR 54–70] participated in the follow-up. Patients with and without the PCFS interview were similar in age (63 [54–70] vs 62 [52–69], p = 0.493), to be male (53 [51.0%] vs 24 [45.3%], p = 0.501), and admission delay (13 [7–20] days vs 14 [9–21], p = 0.157). After further excluding three (2.9%) patients with grade 3 and six (5.8%) patients with grade 4 at baseline, we included 95 patients with a baseline PCFS = 0 in the final analysis (Fig. 1).

Fig. 1
figure 1

Flow chart of patients selection. COVID-19 coronavirus disease 2019. PCFS post-COVID-19 functional status scale

Full size image

Table 2 shows the demographics and clinical characteristics of the study population. The inter-rater reliability for baseline PCFS interview was 0.68 (95% CI 0.46–0.90); for PCFS interview 6-month after discharge 0.79 (95% CI 0.65–0.93). All patients had no recurrence of symptoms or radiological findings, and there were no reported new stroke events or other major illness or death during 6-month follow-up. At 6-month follow-up, 67 (70.5%) patients had a complete functional outcome (grade 0), 9 (9.5%) had a negligible limited function (grade 1), 12 (12.6%) had a mild limited function (grade 2), and 7 (7.4%) had moderate limited function (grade 3). The differences in the demographics and clinical characteristics between patients with PCFS = 0 and PCFS > 0 at 6-month follow-up are shown in Table 3. Compared to those with PCFS = 0, patients with PCFS > 0 trended to be younger (60 [49–69] vs 64 [56–69], p = 0.164), more likely to had onset symptoms of muscle or joint pain (9 [32.1%] vs 7 [10.4%], p = 0.01), and had shorter onset-admission delay (9 days [6–18] vs 14 [10–20], p = 0.04).

Table 2 Baseline characteristics of study participants
Full size table
Table 3 Baseline characteristics between COVID-19 survivors with complete and incomplete functional status at 6-months follow-up
Full size table

In univariable logistic regression analysis, onset symptoms of muscle or joint pain (unadjusted OR 4.06, 95% CI 1.33–12.37) were associated with an increased risk of having a PCFS > 0 at 6-month follow-up. We found a negative association between the onset-admission delay and a PCFS > 0 at six-month follow-up (unadjusted OR 0.95, 95% CI 0.89–1.00). After adjustment for age, onset symptoms of muscle or joint pain (adjusted OR 4.07 95% CI 1.32–12.54, p = 0.015) remained significantly associated with an increased risk of having a PCFS > 0 at 6-month follow-up. In the multivariable regression analysis, onset symptoms of muscle or joint pain remained significantly associated with an increased risk of incomplete functional status (adjusted OR 3.39 95% CI 1.06–10.81, p = 0.039). The association between the onset-admission delay and having a PCFS > 0 was lost in the multivariable regression model (Table 4).

Table 4 Risk factors for incomplete function status at 6-months follow-up
Full size table

To be representative for patients with non-severe COVID 19, we performed a separate analysis by limited on those without severe COVID-19 (n = 82). Additional file 1: Table S1 summarizes the differences in baseline characteristics between patients with and without incomplete functional status at six-month follow-up. This separate analysis did not alter the association between joint or muscle pain and incomplete function. (unadjusted OR 4.0, 95% CI 1.21–13.18, p = 0.023, age-adjusted OR 4.14, 95% CI 1.23–13.90, p = 0.022, multivariate OR 3.46, 95% CI 0.99–12.07, p = 0.05).

Discussion

The most important finding of the present study was that a small proportion of COVID-19 survivors may have an incomplete function status at a six-month follow-up after discharge. A previous study found that a considerable proportion of COVID-19 survivors without critical cases still had radiological and physiological abnormalities at three months after discharge [21]. Our study adds to findings of the previous study by incorporating insights into the functional outcome with a longer-term follow-up data. Several recently published literatures showed that a majority of COVID-19 survivors experienced COVID-19 related symptoms or functional limitations up to six months [22,23,24]. Different populations and assessing methods may account for the discrepancies among different studies. For example, one study also included patients with suspect COVID-19 assessed using an online panel [24], whereas trained physicians conducted a face-to-face interview in another study [22]. More studies with a longer follow-up are needed to better understand the important question for clinicians and the public: will patients recovered from COVID-19 have long-term sequelae?

In our cohort, COVID-19 survivors with the onset symptoms of joint or muscle pain were at an increased risk of having incomplete function status at six-month after discharge. In line with our finding, a previous study of 158 hospitalized COVID-19 patients showed that the symptoms of muscle or joint pain were significantly associated with the trend of intensification of COVID-19 (3/30% vs 3/128, p = 0.048) [25]. The associated muscle pain is one of the most frequent causes of pain in SARS-nCoV-2 infection. For example, a previous meta-analysis of ten observational studies showed that nearly 36% of COVID-19 patients had myalgia as one of the most common onset symptoms [26]. Although previous studies have suggested that the onset symptoms of muscle pain do not seem to increase with COVID-19 severity [3, 16, 27], in patients with abnormal chest radiographic findings, myalgia appeared to be an important risk factor for the severity of the overall disease [28]. The upregulation of the proinflammatory cytokines such as interleukin-6 during viral infection may cause muscle and joint pain [29]. Some researchers believe that myalgia in COVID-19 patients might mirror the systematic inflammation and cytokine response [30]. As SARS-CoV-2 infection induces robust immunologic complications like cytokine storm, elevated cytokine levels such as interleukin-6, interleukin-10, and tumor necrosis factor-α might occur, especially in patients with a moderate or severe disease course [31, 32]. This hypothesis was supported by a previous observational study that showed COVID-19 patients with muscle injury had manifestations of increased inflammatory response and blood coagulation function [33]. Although our study cannot provide comparative data to determine the effects of COVID-19 on the long-term functional outcome, our findings will contribute to determining COVID-19 at initial stages and suggesting medical intervention in a timely manner.

Our data suggest that the inter-rater reliability of the PCFS interview was satisfactory. Moreover, both raters reported no significant difficulties with scale interpretation, indicating that the PCFS is a simple and feasible approach to monitor the course of symptoms and the impact of symptoms on the functional status of COVID-19 survivors. Previous studies have shown that the functional impairment checklist is reliable, valid and responsive to changes in symptom and disability as a consequence of SARS, suggesting it may provide a means of assessing health-related quality of life outcomes in a longitudinal follow-up [34].

Limitation

First, this is a small sample-sized retrospective observational study without a predefined protocol. Due to the likely self-selection bias by covering only those undergo the post-COVID-19 survey, our findings need to be interpreted with caution and validated in further large-sample studies. Second, since most of our cohort did not experience severe COVID-19, our findings may not be generalized for patients with severe COVID-19. Third, although we only included patients with complete baseline functional status in our final analysis, we cannot ensure that the functional decline was due to COVID-19. However, when responded to Q3 (Do you suffer from symptoms, pain, depression or anxiety?) our patients reported these symptoms are caused by or mostly related to COVID-19. Fourth, we did not validate the PCFS assessment with other well-validated tools such as six-minutes walking exercise and Saint-Jeorge respiratory scale. Several recent studies have shown that the PCFS is a validated scale for evaluating 3 to 6-month functional outcomes in COVID-19 patients [24, 35]. Future studies are needed to benchmark PCFS with other validated tools in Chinese COVID-19 patients. Results from the LEOSS registry (Lean European Open Survey on SARS-CoV-2 Infected Patients; https://LEOSS.net) will better address the long-term functional outcomes.

Conclusions

The present study indicated that a small proportion of COVID-19 survivors may have incomplete function status at six-month follow-up, and the risk of incomplete function is higher among patients presenting at baseline with muscle or joint pain. Such patients may benefit from follow-up rehabilitation programs.

Availability of data and materials

The datasets generated during and/or analyzed during the current study are available from the corresponding author at xieheliunan1984@fjmu.edu.cn on reasonable request.

Abbreviations

COVID-19:

Coronavirus disease 2019

PCFS:

Post-COVID-19 Functional Status Scale

SARS-CoV-2:

Severe acute respiratory syndrome coronavirus 2

RT-PCR:

Reverse transcription-polymerase chain reaction

MERS:

Middle East respiratory syndrome

References

  1. Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical course and risk factors for mortality of adult inpatients with covid-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395:1054–62.

    Article  CAS  Google Scholar 

  2. Hopkins J. Johns hopkins coronavirus resource center. https://coronavirus.Jhu.Edu/map.html. Accessed 9 September 2021.

  3. Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;382:1708–20.

    Article  CAS  Google Scholar 

  4. Argenziano MG, Bruce SL, Slater CL, Tiao JR, Baldwin MR, Barr RG, et al. Characterization and clinical course of 1000 patients with coronavirus disease 2019 in New York: retrospective case series. BMJ. 2020;369:m1996.

    Article  Google Scholar 

  5. Lechien JR, Chiesa-Estomba CM, Place S, Van Laethem Y, Cabaraux P, Mat Q, et al. Clinical and epidemiological characteristics of 1420 European patients with mild-to-moderate coronavirus disease 2019. J Intern Med. 2020;288:335–44.

    Article  CAS  Google Scholar 

  6. Hu R, Jiang Z, Gao H, Huang D, Jiang D, Chen F, et al. Recurrent positive reverse transcriptase-polymerase chain reaction results for coronavirus disease 2019 in patients discharged from a hospital in china. JAMA Netw Open. 2020;3:e2010475.

    Article  Google Scholar 

  7. Ye G, Pan Z, Pan Y, Deng Q, Chen L, Li J, et al. Clinical characteristics of severe acute respiratory syndrome coronavirus 2 reactivation. J Infect. 2020;80:e14–7.

    Article  CAS  Google Scholar 

  8. Huang Y, Zhao N. Generalized anxiety disorder, depressive symptoms and sleep quality during COVID-19 outbreak in China: a web-based cross-sectional survey. Psychiatry Res. 2020;288:112954.

    Article  CAS  Google Scholar 

  9. Li X, Dai T, Wang H, Shi J, Yuan W, Li J, et al. Clinical analysis of suspected COVID-19 patients with anxiety and depression. Zhejiang Da Xue Xue Bao Yi Xue Ban. 2020;49:203–8.

    PubMed  Google Scholar 

  10. Gentile F, Aimo A, Forfori F, Catapano G, Clemente A, Cademartiri F, et al. COVID-19 and risk of pulmonary fibrosis: the importance of planning ahead. Eur J Prev Cardiol. 2020;27:1442–6.

    Article  Google Scholar 

  11. Spagnolo P, Balestro E, Aliberti S, Cocconcelli E, Biondini D, Casa GD, et al. Pulmonary fibrosis secondary to COVID-19: a call to arms? Lancet Respir Med. 2020;8:750–2.

    Article  CAS  Google Scholar 

  12. Huang Y, Tan C, Wu J, Chen M, Wang Z, Luo L, et al. Impact of coronavirus disease 2019 on pulmonary function in early convalescence phase. Respir Res. 2020;21:163.

    Article  CAS  Google Scholar 

  13. Hui DS, Joynt GM, Wong KT, Gomersall CD, Li TS, Antonio G, et al. Impact of severe acute respiratory syndrome (SARS) on pulmonary function, functional capacity and quality of life in a cohort of survivors. Thorax. 2005;60:401–9.

    Article  CAS  Google Scholar 

  14. Das KM, Lee EY, Singh R, Enani MA, Al Dossari K, Van Gorkom K, et al. Follow-up chest radiographic findings in patients with MERS-CoV after recovery. Indian J Radiol Imaging. 2017;27:342–9.

    Article  Google Scholar 

  15. Du HW, Chen JN, Pan XB, Chen XL, Zhang YX, Fang SF, et al. Prevalence and outcomes of re-positive nucleic acid tests in discharged COVID- 19 patients. Eur J Clin Microbiol. 2021;40:413–7. https://doi.org/10.1007/s10096-020-04024-1.

    Article  CAS  Google Scholar 

  16. Du H, Pan X, Liu N, Chen J, Chen X, Werring DJ, et al. The effect of vascular risk factor burden on the severity of COVID-19 illness, a retrospective cohort study. Respir Res. 2020;21:241. https://doi.org/10.1186/s12931-020-01510-0.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. World Health Organization. Clinical management of severe acute respiratory infection when novel coronavirus (nCoV) infection is suspected: interim guidance. January 28, 2020. Accessed March 5, 2020.

  18. China National Health Commission. New coronavirus pneumonia prevention and control program (7th edn, in Chinese). 2020. http://www.nhc.gov.cn/yzygj/s7653p/202003/46c9294a7dfe4cef80dc7f5912eb1989.shtml. Accessed 3 March 2020.

  19. Klok FA, Boon GJAM, Barco S, Endres M, Geelhoed JJM, Knauss S, et al. The Post-COVID-19 Functional Status scale: a tool to measure functional status over time after COVID-19. Eur Respir J. 2020;56:2001494. https://doi.org/10.1183/13993003.01494-2020.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Manual to the Post-COVID-19 Functional Status Scale for physicians and study personnel - including corresponding structured interview and assessment tools. https://osf.io/qgpdv/

  21. Zhao YM, Shang YM, Song WB, Li QQ, Xie H, Xu QF, et al. Follow-up study of the pulmonary function and related physiological characteristics of COVID-19 survivors three months after recovery. EClinicalMedicine. 2020;25:100463.

    Article  Google Scholar 

  22. Huang C, Huang L, Wang Y, Li X, Ren L, Gu X, et al. 6-month consequences of COVID-19 in patients discharged from hospital: a cohort study. Lancet. 2021;16(397):220–32.

    Article  Google Scholar 

  23. Delbressine JM, Machado FVC, Goërtz YMJ, Van Herck M, Meys R, Houben-Wilke S, et al. The impact of post-COVID-19 syndrome on self-reported physical activity. Int J Environ Res Public Health. 2021;3(18):6017. https://doi.org/10.3390/ijerph18116017.

    Article  CAS  Google Scholar 

  24. Vaes AW, Goërtz YMJ, Van Herck M, Machado FVC, Meys R, Delbressine JM, et al. Recovery from COVID-19: a sprint or marathon? 6-month follow-up data from online long COVID-19 support group members. ERJ Open Res. 2021;24(7):00141–2021. https://doi.org/10.1183/23120541.00141-2021.

    Article  Google Scholar 

  25. Li L, Sun W, Han M, Ying Y, Wang Q. A study on the predictors of disease severity of COVID-19. Med Sci Monit. 2020;26: e927167. https://doi.org/10.12659/MSM.927167.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Li L, Huang T, Wang Y, Wang Z, Liang Y, Huang T, et al. COVID-19 patients’ clinical characteristics, discharge rate, and fatality rate of meta-analysis. J Med Virol. 2020;92:577–83.

    Article  CAS  Google Scholar 

  27. Wu C, Chen X, Cai Y, Xia J, Zhou X, Xu S, et al. Risk factors associated with acute respiratory distress syndrome and death in patients with coronavirus disease 2019 pneumonia in Wuhan, China. JAMA Intern Med. 2020;180:934–43.

    Article  CAS  Google Scholar 

  28. Zhang X, Cai H, Hu J, Lian J, Gu J, Zhang S, et al. Epidemiological, clinical characteristics of cases of SARS-CoV- 2 infection with abnormal imaging findings. Int J Infect Dis. 2020;94:81–7.

    Article  Google Scholar 

  29. Manjavachi MN, Motta EM, Marotta DM, Leite DFP, Calixto JB. Mechanisms involved in IL-6-induced muscular mechanical hyperalgesia in mice. Pain. 2010;151:345–55.

    Article  CAS  Google Scholar 

  30. Jiang X, Coffee M, Bari A, Wang J, Jiang X, Huang J, et al. Towards an artificial intelligence framework for data-driven prediction of coronavirus clinical severity. Comput Mater Contin. 2020;63:537–51.

    Article  Google Scholar 

  31. Chen G, Wu D, Guo W, Cao Y, Huang D, Wang H, et al. Clinical and immunological features of severe and moderate coronavirus disease 2019. J Clin Investig. 2020;130:2620–9.

    Article  CAS  Google Scholar 

  32. Jamilloux Y, Henry T, Belot A, Viel S, Fauter M, El Jammal T, et al. Should we stimulate or suppress immune responses in COVID-19? Cytokine and anti-cytokine interventions. Autoimmun Rev. 2020;19:102567.

    Article  CAS  Google Scholar 

  33. Mao L, Jin H, Wang M, Hu Y, Chen S, He Q, et al. Neurologic manifestations of hospitalized patients with coronavirus disease 2019 in Wuhan, China. JAMA Neurol. 2020;77:683–90.

    Article  Google Scholar 

  34. Lam SP, Tsui E, Chan KS, Lam CL, So HP. The validity and reliability of the functional impairment checklist (FIC) in the evaluation of functional consequences of severe acute respiratory distress syndrome (SARS). Qual Life Res. 2006;15:217–31.

    Article  Google Scholar 

  35. Machado FVC, Meys R, Delbressine JM, Vaes AW, Goërtz YMJ, van Herck M, et al. Construct validity of the post-COVID-19 Functional Status Scale in adult subjects with COVID-19. Health Qual Life Outcomes. 2021;19:40. https://doi.org/10.1186/s12955-021-01691-2.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We thank all the patients with their data for the present study. We thank the medical workers who are on the front line of caring for patients.

Funding

This study was supported by the Fujian Science and Technology Innovation Joint Fund Project (Grant No. 2019Y9099), Fujian Provincial Natural and Science Innovation Project (Grant No. 2016B014), and the Young Teacher's Foundation of Fujian Provincial Department of Education (Grant No. JAT190183). The funders had no role in the study design and the collection, analysis, and interpretation of data or drafting of the article and the decision to submit it for publication. The researchers confirm their independence from the funder.

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Author notes

  1. Hou-wei Du, Shuang-fang Fang, Sang-ru Wu, and Xiao-ling Chen have contributed equally to this work.

Authors and Affiliations

  1. Department of Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Gulou District, Fuzhou, 35000, China

    Hou-wei Du, Shuang-fang Fang, Sang-ru Wu, Han-han Lei, Rong-hua Chen, Zhen-yang Zheng,  Ling-Luo & Nan Liu

  2. Institute of Clinical Neurology, Fujian Medical University, Fuzhou, China

    Hou-wei Du, Shuang-fang Fang, Sang-ru Wu, Han-han Lei, Rong-hua Chen, Zhen-yang Zheng &  Ling-Luo

  3. Department of Infectious Disease, Fujian Medical University Union Hospital, Fuzhou, China

    Xiao-ling Chen

  4. Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China

    Jun-nian Chen

  5. Department of Rehabilitation, Fujian Medical University Union Hospital, Fuzhou, China

    Yi-xian Zhang, Hua-yao Huang & Nan Liu

  6. Department of Critical Care Medicine, Fujian Provincial Hospital South Branch, Fuzhou, China

    Xiao-bin Pan

  7. Fujian Center for Disease Control and Prevention, Fuzhou, China

    Xiao-qing Li & Pin-cang Xia

  8. Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China

    Hai-long Lin

  9. Department of Respiratory Medicine, Fujian Medical University Union Hospital, Fuzhou, China

    Li-min Chen

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  1. Hou-wei Du
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Consortia

Fujian Medical Team Support Wuhan for COVID19

Contributions

HWD and NL had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. HWD, SFF, SRW and XLC contributed equally to this work. Study concept and design: HWD and NL. Acquisition, analysis, or interpretation of data: HWD, SFF, SRW, XLC, JNC, XBP, HHL and NL. Drafting of the manuscript: HWD, SFF, XLC, SRW, and NL. Critical revision of the manuscript for important intellectual content: JNC, XBP, YXZ, HYH, RHC, ZYZ, HLL, LL and LMC. Statistics: XQL and PCX. All authors read and approved the final version of the manuscript.

Corresponding author

Correspondence to Nan Liu.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the Ethics Committee of Fujian Medical University Union Hospital, a member of the National Medical Team Support Wuhan for COVID-19. The administrative permissions were not required to access the raw data, as it is all anonymized data. All clinical investigations were conducted in accordance with the principles expressed in the declaration of Helsinki. Written informed consent was waived due to the nature of our retrospective study of routine baseline clinical data. The patients were asked to give verbal consent before responding to the raters in view of a six-month follow-up of data. Due to the COVID-19 pandemic limitation, it is more convenient for patients to give verbal consent. Therefore, the ethics committee approved the procedure for verbal consent.

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Supplementary Information

Additional file 1: Table 1.

Baseline characteristics between COVID-19 non-severe survivors with complete and incomplete functional status at 6-months follow-up.

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Du, Hw., Fang, Sf., Wu, Sr. et al. Six-month follow-up of functional status in discharged patients with coronavirus disease 2019. BMC Infect Dis 21, 1271 (2021). https://doi.org/10.1186/s12879-021-06970-3

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  • DOI: https://doi.org/10.1186/s12879-021-06970-3

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BMC Infectious Diseases

ISSN: 1471-2334

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