Literature DB >> 33575312

Chest radiography is a poor predictor of respiratory symptoms and functional impairment in survivors of severe COVID-19 pneumonia.

Rebecca F D'Cruz1, Michael D Waller1,2, Felicity Perrin2, Jimstan Periselneris2, Sam Norton3, Laura-Jane Smith2, Tanya Patrick2, David Walder2, Amadea Heitmann2, Kai Lee2, Rajiv Madula2, William McNulty2, Patricia Macedo2, Rebecca Lyall2, Geoffrey Warwick2, James B Galloway3, Surinder S Birring1,2, Amit Patel2, Irem Patel1,2, Caroline J Jolley1,2.   

Abstract

BACKGROUND: A standardised approach to assessing COVID-19 survivors has not been established, largely due to the paucity of data on medium- and long-term sequelae. Interval chest radiography is recommended following community-acquired pneumonia; however, its utility in monitoring recovery from COVID-19 pneumonia remains unclear.
METHODS: This was a prospective single-centre observational cohort study. Patients hospitalised with severe COVID-19 pneumonia (admission duration ≥48 h and oxygen requirement ≥40% or critical care admission) underwent face-to-face assessment at 4-6 weeks post-discharge. The primary outcome was radiological resolution of COVID-19 pneumonitis (Radiographic Assessment of Lung Oedema score <5). Secondary outcomes included clinical outcomes, symptom questionnaires, mental health screening (Trauma Screening Questionnaire, seven-item Generalised Anxiety Disorder assessment and nine-item Patient Health Questionnaire) and physiological testing (4-m gait speed (4MGS) and 1-min Sit-to-Stand (STS) tests).
RESULTS: 119 patients were assessed between June 3, 2020 and July 2, 2020 at median (interquartile range (IQR)) 61 (51-67) days post-discharge: mean±sd age 58.7±14.4 years, median (IQR) body mass index 30.0 (25.9-35.2) kg·m-2, 62% male and 70% ethnic minority. Despite radiographic resolution of pulmonary infiltrates in 87%, modified Medical Research Council Dyspnoea (breathlessness) scale grades were above pre-COVID-19 baseline in 44%, and patients reported persistent fatigue (68%), sleep disturbance (57%) and breathlessness (32%). Screening thresholds were breached for post-traumatic stress disorder (25%), anxiety (22%) and depression (18%). 4MGS was slow (<0.8 m·s-1) in 38% and 35% desaturated by ≥4% during the STS test. Of 56 thoracic computed tomography scans performed, 75% demonstrated COVID-19-related interstitial and/or airways disease.
CONCLUSIONS: Persistent symptoms, adverse mental health outcomes and physiological impairment are common 2 months after severe COVID-19 pneumonia. Follow-up chest radiography is a poor marker of recovery; therefore, holistic face-to-face assessment is recommended to facilitate early recognition and management of post-COVID-19 sequelae.
Copyright ©ERS 2021.

Entities:  

Year:  2021        PMID: 33575312      PMCID: PMC7585700          DOI: 10.1183/23120541.00655-2020

Source DB:  PubMed          Journal:  ERJ Open Res        ISSN: 2312-0541


Introduction

Following alarmingly rapid global spread of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), COVID-19 was categorised as a pandemic on March 11, 2020 [1]. Acute manifestations of the disease are widely reported, with fever, cough and breathlessness recognised as the most common presenting symptoms [2]. Following the acute phase of illness there is increasing anecdotal awareness of patients with “long COVID” in whom residual symptoms persist beyond the acute viral illness [3]. However, a robust evidence base on medium- and long-term physical and psychological sequelae of severe COVID-19 infection is currently lacking. Drawing on experience from previous coronavirus global outbreaks (SARS-CoV-1 (SARS) in 2002–2004 and Middle East respiratory syndrome-related coronavirus (MERS) in 2012) and our comprehensive understanding of outcomes following acute respiratory distress syndrome (ARDS) and critical illness, COVID-19 survivors are anticipated to be at risk of impaired lung function [4], interstitial lung disease [5], exercise limitation and impaired quality of life in the months and years following hospital discharge [4, 6, 7]. Given the 14% prevalence of post-traumatic stress disorder (PTSD) in critical illness survivors [8] and excess increase in mental distress observed among UK adults during the COVID-19 pandemic [9], the burden of mental health disorders following COVID-19 infection is expected to be high. With 19.6 million cases now (August 2020) confirmed globally and the daily incidence continuing to climb [10], it is apparent that early recognition and management of complications among the increasing population of severe COVID-19 survivors, many of whom will have experienced multiorgan involvement, critical care admission and psychological trauma, is a clinical priority. We aimed to prospectively investigate clinical, radiological, functional and psychological COVID-19 sequalae of severe COVID-19 pneumonia, and to identify factors associated with symptomatic and functional recovery.

Methods

Study design and participants

This single-centre prospective observational cohort study was conducted at King's College Hospital, an urban university hospital in London (UK). We analysed routine data of COVID-19 survivors attending the King's College Hospital COVID-19 post-discharge clinical service. To identify patients hospitalised with COVID-19 pneumonia, we screened electronic medical records of consecutive patients aged ≥18 years hospitalised with PCR-confirmed COVID-19 on naso- and oropharyngeal swab between February and May 2020. In the UK healthcare system during the pandemic, patients presenting to the emergency department with symptoms consistent with COVID-19 were admitted to hospital if they were considered at higher risk of severe disease (based on age, comorbidities or social circumstances) and/or they had significantly abnormal vital observations or investigations (venous or arterial blood results and chest radiography). We defined severe COVID-19 pneumonia as requiring hospitalisation for ≥48 h and inspiratory oxygen fraction (FIO) ≥40% or intensive care unit (ICU) admission. Patients fulfilling these criteria and surviving to discharge were invited to attend the clinic for face-to-face assessment in accordance with British Thoracic Society guidance [11]. Herein, we report the first month of prospectively collected data from consecutive patients assessed between June 3, 2020 and July 2, 2020. This study was approved by the Clinical Governance committee, King's College NHS Foundation Trust, judged to be a service evaluation exempt from NHS Research Ethics Committee review, since no a priori hypothesis testing, randomisation or treatment allocation was undertaken, and conducted according to the principles of the Declaration of Helsinki [12].

Data collection

Demographic and anthropometric data and inpatient clinical outcomes for all patients screened were obtained from medical records. A summary of follow-up data collected is provided in supplementary table S1. Questionnaires were used to evaluate persistent symptoms, self-reported functional disability, depression, anxiety, PTSD and cognition [13-20]. Functional disability was objectively assessed using the 4-m gait speed (4MGS) and 1-min Sit-to-Stand (STS) tests [21, 22]. Admission, worst inpatient and follow-up radiographs were graded using the Radiographic Assessment of Lung Oedema (RALE) score [23]. Thoracic computed tomography (CT) scans were performed for patients with persistent chest radiograph abnormalities, respiratory symptoms or oxygen desaturation ≥4% during the STS test. Additional methodological details are provided in the supplementary material.

Outcomes

The primary outcome of this study was radiological resolution of COVID-19 pneumonia, in accordance with national guidelines [11]. Secondary outcomes included demographics, anthropometrics, inpatient clinical course, symptom questionnaires, mental health screening and physiological testing (STS repetitions and oxygen desaturation, and 4MGS).

Statistical analysis

The aim of this study was to perform rapid characterisation of severe COVID-19 recovery, with no a priori hypothesis testing or sample size calculation. Consecutive survivors of confirmed severe COVID-19 pneumonia attending face-to-face assessments were included. Data are presented as mean with standard deviation or median (interquartile range (IQR)) for continuous variables, depending on the normality of the data, and frequency (percentage (95% confidence interval)) for categorical variables. Group comparisons were performed using independent t-tests and Chi-squared tests. Ordinal logistic regression modelling was used to identify factors associated with measures of COVID-19 recovery. Odds ratios (adjusted for age, sex and ethnicity) are presented. Statistical significance was concluded at the two-sided significance level of 0.05. Analyses were conducted with SPSS version 26 (IBM, Armonk, NY, USA).

Results

Baseline and inpatient characteristics

Between June 3, 2020 and July 2, 2020, 143 patients were invited to attend face-to-face assessment post-discharge, of whom 119 attended. These patients had been hospitalised between March 5, 2020 and May 28, 2020, during which time a total of 898 patients were hospitalised with confirmed COVID-19, of whom 657 survived to discharge (figure 1). Data for all patients hospitalised with COVID-19, those surviving to discharge and those that did not attend their post-COVID-19 clinic appointment, and between-group comparisons are provided in supplementary tables S2 and S3. Baseline demographic and anthropometric characteristics at follow-up and patients' inpatient clinical course are presented in table 1. Mean±sd age was 58.7±14.4 years, median (IQR) body mass index (BMI) was 30.0 (25.9–35.2) kg·m−2, 62% of patients were male and 70% self-reported as Black, Asian or minority ethnic. Median (IQR) Charlson Comorbidity Index was 2 (1–4), 53% had pre-existing cardiovascular disease, 11% had obstructive lung disease, 7% had end-stage renal failure, 18% had no pre-existing comorbidities. Patients were moderately hypoxaemic at admission (median (IQR) arterial oxygen tension (PaO)/FIO 169 (106–272)). 58% of patients were lymphopenic and 20% were thrombocytopenic. 41 (34%) were admitted to the ICU, 34 (29%) received invasive mechanical ventilation (IMV) and median (IQR) ICU admission duration was 14.5 (7–27) days. Mean±sd hospital length of stay for critical care patients was 30.8±16.3 days and median (IQR) 9 (7–14.5) days for those receiving ward-based care. 70 (59%) experienced at least one complication attributable to COVID-19 (supplementary table S4), of which acute kidney injury (35%) and venous thromboembolism (23%) were the most common.
FIGURE 1

Patient flowchart. KCH: King's College Hospital; LOS: length of stay; FIO: inspiratory oxygen fraction; ICU: intensive care unit.

TABLE 1

Baseline characteristics at follow-up and inpatient clinical course

Age years (n=119)58.7±14.4
 18–294 (3.4, 0.8–6.7)
 30–3911 (9.2, 5.0–14.3)
 40–4913 (10.9, 6.7–15.1)
 50–5936 (30.3, 22.7–38.7)
 60–6927 (22.7, 16.0–28.6)
 70–7918 (15.1, 10.1–21.0)
 ≥8010 (8.4, 5.0–12.6)
Sex (n=119)
 Female45 (37.8, 29.4–46.2)
 Male74 (62.2, 53.8–70.6)
Ethnicity (n=119)
 BAME (yes/no)83 (69.7, 61.3–78.2)
 White36 (30.3, 22.6–37.8)
 Black52 (43.7, 36.1–51.3)
 Asian18 (15.1, 10.1–20.2)
 Mixed race5 (4.2, 1.7–6.7)
 Other8 (6.7, 3.4–10.9)
Index of multiple deprivation score (n=115)26.6±9.7
BMI kg·m−2 (n=118)30.0 (25.9–35.2)
 Underweight (<18.5)0 (0.0)
 Normal (18.5–24.9)22 (18.6, 12.7–24.6)
 Overweight (25.0–29.9)35 (29.7, 22.9–37.3)
 Obese (30.0–34.9)30 (25.4, 19.5–33.1)
 Severely obese (35.0–39.9)20 (16.9, 11.0–22.0)
 Morbidly obese (40.0–49.9)9 (7.6, 4.2–11.0)
 Super obese (≥50.0)2 (1.7, 0.0–4.2)
Smoking status (n=110)
 Never-smoker82 (74.5, 67.3–82.7)
 Ex-smoker25 (22.7, 16.4–28.2)
 Current smoker3 (2.7, 0.0–6.4)
Comorbidities (n=119)
 Charlson Comorbidity Index2 (1–4)
 Any cardiovascular disease63 (52.9, 44.5–61.8)
  Hypertension54 (45.4, 37.7–52.9)
  Hyperlipidaemia25 (21.0, 15.1–27.4)
  Ischaemic heart disease/heart failure8 (6.7, 3.4–10.9)
 Diabetes41 (34.5, 26.4–42.9)
 Immunosuppressed16 (13.4, 8.4–18.5)
 Obstructive lung disease13 (10.9, 6.7–16.0)
 Malignancy12 (10.1, 5.9–14.3)
 End-stage renal failure8 (6.7, 3.4–10.1)
 Thyroid disease7 (5.9, 2.5–9.2)
 Mental health condition6 (5.0, 2.5–7.6)
 Cerebrovascular disease5 (4.2, 1.7–6.7)
Admission PaO2/FIO2168.8 (105.9–272.3)
PaO2/FIO2 severity (n=119)
 >300 (normal)13 (14.6, 9.0–21.3)
 200–300 (mild)23 (25.8, 19.1–34.8)
 100–199 (moderate)32 (36.0, 28.1–44.9)
 <100 (severe)21 (23.6, 15.7–32.6)
Maximum respiratory support (n=119)
 FMO271 (59.7, 51.3–67.2)
 PAP14 (11.8, 6.9–16.8)
 IMV34 (28.6, 21.0–37.0)
COVID-19 complications (n=119)
 None during admission49 (41.2, 33.6–48.7)
 Venous thromboembolism27 (22.7, 16.8–29.4)
  Pulmonary embolism23 (19.3, 12.6–26.1)
  Deep vein thrombosis6 (5.0, 2.5–7.6)
 Acute kidney injury41 (34.5, 25.2–43.7)
 Deranged LFTs17 (14.3, 9.2–20.2)
 Delirium18 (15.1, 10.1–20.2)
Hospital LOS days12 (8–23)
 LOS if admitted to ICU days30.8±16.3
 LOS if not admitted to ICU days9 (7–14.5)
ICU admission (n=119)41 (34.5, 26.9–42.9)
 ICU LOS days14.5 (7–27)
 Duration of IMV days20.5±14.0

Data presented as mean±sd, frequency (%, 95% CI) or median (interquartile range). BAME: Black, Asian or minority ethnic; BMI: body mass index; PaO: arterial oxygen tension; FIO: inspiratory oxygen fraction; FMO2: facemask oxygen; PAP: positive airway pressure (including high-flow therapy, continuous positive airway pressure and noninvasive ventilation); IMV: invasive mechanical ventilation; LFT: liver function test; LOS: length of stay; ICU: intensive care unit.

Patient flowchart. KCH: King's College Hospital; LOS: length of stay; FIO: inspiratory oxygen fraction; ICU: intensive care unit. Baseline characteristics at follow-up and inpatient clinical course Data presented as mean±sd, frequency (%, 95% CI) or median (interquartile range). BAME: Black, Asian or minority ethnic; BMI: body mass index; PaO: arterial oxygen tension; FIO: inspiratory oxygen fraction; FMO2: facemask oxygen; PAP: positive airway pressure (including high-flow therapy, continuous positive airway pressure and noninvasive ventilation); IMV: invasive mechanical ventilation; LFT: liver function test; LOS: length of stay; ICU: intensive care unit.

Follow-up characteristics

Median (IQR) times between hospital admission and discharge and follow-up assessment were 76 (71–83) and 61 (51–67) days, respectively. Time between discharge and clinic assessment and current modified Medical Research Council (mMRC) Dyspnoea (breathlessness) scale grade is displayed in figure 2. 57 (48%) patients utilised hospital services following hospital discharge: 23 (40%) attended outpatient appointments for monitoring of inpatient complications (haematology, renal, diabetes), 16 (28%) attended the emergency department, nine (16%) were re-hospitalised and nine (16%) attended planned outpatient appointments for pre-existing comorbidities.
FIGURE 2

Relationship between modified Medical Research Council (mMRC) Dyspnoea (breathlessness) scale grade and time from hospital discharge. Black line: linear regression line (to indicate the line of best fit); grey lines: 95% CI.

Relationship between modified Medical Research Council (mMRC) Dyspnoea (breathlessness) scale grade and time from hospital discharge. Black line: linear regression line (to indicate the line of best fit); grey lines: 95% CI. Questionnaire scores are displayed in figure 3. Median (IQR) mMRC grade at follow-up was 1 (0–2) and pre-COVID-19 was 0 (0–1), 51 out of 115 (44.3.2%, 95% CI 35.8–53.0%) patients had not returned to pre-COVID-19 mMRC baseline. The association between current mMRC grade and time between discharge and clinical assessment was weak (R2<0.001, p=0.82). Post-COVID-19 Functional Status (PCFS) grade was ≥2 in 47 out of 115 (40.9%, 95% CI 33.0–47.8%). Of those whose mMRC grade had not returned to pre-COVID-19 baseline, 10 out of 51 (19.6%, 95% CI 8.6–31.9%) had no pre-existing comorbidity. Comorbid obstructive lung disease was associated with failure of mMRC recovery to baseline (OR 5.06, 95% CI 1.33–19.24; p=0.017) and PCFS grade ≥2 (OR 2.84, 95% CI 1.01–7.98; p=0.047) (table 2).
FIGURE 3

Box plots of persistent symptoms and mental health and neurocognitive outcomes. PHQ-9: nine-item Patient Health Questionnaire; GAD-7: seven-item Generalised Anxiety Disorder assessment; 6-CIT: six-item Cognitive Impairment Test. a) Numerical rating scores for fatigue, breathlessness, sleep, pain and cough. b) Scores for PHQ-9, GAD-7, Trauma Screening Questionnaire and 6-CIT. Observed values are indicated by circles. Shaded boxes indicate interquartile range with median indicated by the midline and mean indicated by a diamond. The lower/upper whiskers represent the range to the minimum/maximum value or 1.5 times the median to the lower/upper quartile, whichever is highest.

TABLE 2

Ordinal logistic regression to identify factors associated with measures of COVID-19 recovery

mMRC grade recovery to pre-COVID-19 baselinePCFS grade ≥2Physiological functional impairmentPositive mental health screening
Adjusted OR# (95% CI)p-valueAdjusted OR# (95% CI)p-valueAdjusted OR# (95% CI)p-valueAdjusted OR# (95% CI)p-value
Age0.85 (0.66–1.10)0.2190.86 (0.66–1.11)0.2371.00 (0.81–1.23)0.9820.66 (0.50–0.87)0.003*
Sex1.07 (0.54–2.12)0.8481.12 (0.56–2.22)0.7480.84 (0.39–1.81)0.6560.68 (0.30–1.54)0.358
BAME0.63 (0.29–1.35)0.2340.68 (0.36–1.29)0.2431.81 (0.95–3.46)0.0710.77 (0.32–1.82)0.548
IMD1.38 (0.97–1.95)0.0761.16 (0.81–1.68)0.4170.73 (0.52–1.03)0.0721.53 (0.98–2.40)0.061
Obese (BMI >30 kg·m−2)1.64 (0.80–3.34)0.1771.17 (0.59–2.32)0.6450.75 (0.37–1.50)0.4151.61 (0.66–3.89)0.292
Current smoker0.88 (0.39–1.96)0.7521.15 (0.54–2.43)0.7151.27 (0.59–2.74)0.5461.46 (0.57–3.72)0.431
Comorbid diabetes0.81 (0.39–1.72)0.5890.80 (0.36–1.82)0.6011.58 (0.73–3.39)0.2431.33 (0.52–3.37)0.550
Comorbid hypertension0.73 (0.37–1.44)0.3660.81 (0.38–1.71)0.5761.62 (0.69–3.84)0.2711.76 (0.73–4.25)0.210
Comorbid obstructive lung disease5.06 (1.33–19.24)0.017*2.84 (1.01–7.98)0.047*0.68 (0.16–2.95)0.6052.47 (0.97–6.31)0.059
Total comorbidities1.03 (0.82–1.28)0.8231.09 (0.86–1.38)0.4951.20 (0.94–1.53)0.1421.34 (0.99–1.81)0.060
Hospital LOS1.04 (0.84–1.29)0.7061.21 (0.97–1.52)0.0991.14 (0.94–1.37)0.1800.94 (0.75–1.18)0.596
FMO2 maximum respiratory support0.86 (0.39–1.92)0.7150.48 (0.22–1.03)0.0600.44 (0.21–0.89)0.023*0.85 (0.32–2.22)0.735
PaO2/FIO20.96 (0.77–1.19)0.6770.89 (0.68–1.16)0.3931.00 (0.80–1.25)0.9990.88 (0.67–1.15)0.338
ICU admission1.22 (0.51–2.94)0.6572.57 (1.12–5.90)0.026*2.44 (1.10–5.42)0.029*1.26 (0.47–3.42)0.643
ICU for IMV1.36 (0.56–3.30)0.5033.27 (1.36–7.84)0.008*2.65 (1.19–5.91)0.017*1.23 (0.45–3.36)0.688
No inpatient complications0.94 (0.46–1.92)0.8720.82 (0.40–1.69)0.5920.74 (0.37–1.52)0.4161.12 (0.45–2.80)0.808
Inpatient VTE2.26 (0.95–5.37)0.0662.21 (1.04–4.72)0.040*1.51 (0.74–3.08)0.2611.34 (0.53–3.39)0.542
Worst RALE score1.51 (1.13–2.02)0.005*1.09 (0.81–1.48)0.5660.95 (0.69–1.31)0.7670.94 (0.66–1.32)0.701
Follow-up RALE score2.04 (0.55–7.62)0.2901.42 (0.54–3.74)0.4792.22 (0.73–6.72)0.1590.87 (0.24–3.13)0.834
Normal CT0.92 (0.23–3.70)0.9090.62 (0.16–2.47)0.5020.76 (0.23–2.51)0.6540.22 (0.05–1.01)0.052
NRS breathlessness8.04 (3.62–17.84)0.000*4.21 (1.94–9.10)0.000*1.77 (0.82–3.83)0.1494.34 (1.58–11.95)0.004*
NRS cough1.63 (0.82–3.26)0.1661.79 (0.91–3.51)0.0911.18 (0.57–2.46)0.6521.38 (0.61–3.15)0.442
NRS fatigue3.16 (1.51–6.62)0.002*4.66 (2.08–10.44)0.000*1.09 (0.51–2.33)0.8273.58 (1.32–9.70)0.012*
NRS pain2.60 (1.31–5.19)0.007*6.54 (2.98–14.35)0.000*0.77 (0.38–1.59)0.4879.62 (3.65–25.38)0.000*
NRS sleep disturbance6.06 (2.96–12.38)0.000*6.47 (2.92–14.36)0.000*1.32 (0.66–2.65)0.4377.24 (2.42–21.62)0.000*
Positive 6-CIT1.28 (0.57–3.32)0.5540.96 (0.32–2.89)0.9491.05 (0.44–2.47)0.9180.71 (0.22–2.29)0.563
4MGS <0.8 m·s−11.36 (0.63–3.11)0.4322.33 (1.04–5.21)0.040*3.86 (1.52–9.77)0.004*
STS oxygen desaturation ≥4%0.90 (0.43–2.96)0.7810.83 (0.42–1.65)0.6000.60 (0.25–1.43)0.250
STS repetitions <2.5th percentile1.55 (0.73–1.88)0.2564.03 (1.90–8.55)0.000*2.91 (1.06–7.99)0.038*
Positive mental health screen7.03 (2.77–2.89)0.000*12.13 (5.03–29.26)0.000*2.24 (1.01–4.93)0.046*
Positive PHQ-931.36 (10.32–17.82)0.000*21.26 (8.29–54.49)0.000*2.93 (1.09–7.86)0.033*
Positive GAD-79.71 (3.23–95.36)0.000*13.20 (5.03–34.65)0.000*1.72 (0.67–4.39)0.256
Positive trauma screen5.26 (2.13–29.20)0.000*7.41 (3.27–16.79)0.000*1.84 (0.80–4.27)0.153
Positive PCFS2.21 (1.57–12.97)0.000*1.51 (1.15–1.98)0.003*2.89 (2.09–4.01)0.000*
Pre-COVID mMRC1.57 (1.04–2.36)0.030*1.49 (1.06–2.08)0.020*1.60 (1.06–2.42)0.027*
Current mMRC2.48 (1.74–3.54)0.000*1.32 (0.97–1.80)0.0792.68 (1.83–3.91)0.000*

mMRC: modified Medical Research Council Dyspnoea (breathlessness) scale; PCFS: Post-COVID-19 Functional Status; BAME: Black, Asian or minority ethnic; IMD: index of multiple deprivation; BMI: body mass index; LOS: length of stay; FMO2: facemask oxygen; PaO: arterial oxygen tension; FIO: inspiratory oxygen fraction; ICU: intensive care unit; IMV: invasive mechanical ventilation; VTE: venous thromboembolism; RALE: Radiographic Assessment of Lung Oedema; CT: computed tomography; NRS: numerical rating score; 6-CIT: six-item Cognitive Impairment Test; 4MGS: 4-m gait speed; STS: 1-min Sit-to-Stand test; PHQ-9: nine-item Patient Health Questionnaire; GAD-7: seven-item Generalised Anxiety Disorder assessment. #: adjusted for age, sex and ethnicity. *: p<0.05

Box plots of persistent symptoms and mental health and neurocognitive outcomes. PHQ-9: nine-item Patient Health Questionnaire; GAD-7: seven-item Generalised Anxiety Disorder assessment; 6-CIT: six-item Cognitive Impairment Test. a) Numerical rating scores for fatigue, breathlessness, sleep, pain and cough. b) Scores for PHQ-9, GAD-7, Trauma Screening Questionnaire and 6-CIT. Observed values are indicated by circles. Shaded boxes indicate interquartile range with median indicated by the midline and mean indicated by a diamond. The lower/upper whiskers represent the range to the minimum/maximum value or 1.5 times the median to the lower/upper quartile, whichever is highest. Ordinal logistic regression to identify factors associated with measures of COVID-19 recovery mMRC: modified Medical Research Council Dyspnoea (breathlessness) scale; PCFS: Post-COVID-19 Functional Status; BAME: Black, Asian or minority ethnic; IMD: index of multiple deprivation; BMI: body mass index; LOS: length of stay; FMO2: facemask oxygen; PaO: arterial oxygen tension; FIO: inspiratory oxygen fraction; ICU: intensive care unit; IMV: invasive mechanical ventilation; VTE: venous thromboembolism; RALE: Radiographic Assessment of Lung Oedema; CT: computed tomography; NRS: numerical rating score; 6-CIT: six-item Cognitive Impairment Test; 4MGS: 4-m gait speed; STS: 1-min Sit-to-Stand test; PHQ-9: nine-item Patient Health Questionnaire; GAD-7: seven-item Generalised Anxiety Disorder assessment. #: adjusted for age, sex and ethnicity. *: p<0.05 Median (IQR) number of persistent symptoms was 4 (2–5), 11% of patients reported no persistent symptoms. Burdensome breathlessness (numerical rating scale (NRS) breathlessness ≥4) was present in 37 out of 115 (32.2%, 95% CI 25.2–40.0%). Persistent cough (NRS ≥1) was present in 49 out of 115 (42.6%, 95% CI 33.9–52.2%) and burdensome cough (NRS ≥4) in eight out of 115 (6.9%, 95% CI 3.5–10.4%). 78 out of 115 (67.8%, 95% CI 60.0–74.8%) reported fatigue, 65 out of 115 (56.5%, 95% CI 47.3–66.1%) reported sleep disturbance and 57 out of 115 (49.6%, 95% CI 40.9–58.3%) reported pain. Where stated, pain was most commonly reported in the shoulder (n=9 (29%)), chest (n=7 (23%)), lower limbs (n=6 (19%)) and back (n=4 (13%)). Pre-morbid obstructive lung disease was associated with persistent (NRS ≥1) breathlessness (OR 8.04, 95% CI 0.19–21.4; p=0.03) and cough (OR 3.43, 95% CI 0.98–12.0), but not burdensome (NRS ≥4) breathlessness or cough (OR 1.97, 95% CI 0.60–6.47; p=0.26 and OR 2.27, 95% CI 0.38–13.69; p=0.37, respectively). There were no associations between the presence or absence of pre-existing comorbidities and persistent fatigue, sleep disturbance or pain. The nine-item Patient Health Questionnaire (PHQ-9) (depression) score was >9 in 20 out of 111 (18.0%, 95% CI 11.7–23.4%) and the seven-item Generalised Anxiety Disorder (GAD-7) assessment score was >9 in 25 out of 113 (22.1%, 95% CI 15.0–29.8%). 28 out of 113 (24.8%, 95% CI 18.1–31.9%) scored ≥6 on the Trauma Screen Questionnaire. 21 out of 97 (21.6%, 95% CI 14.4–28.9%) scored ≥8 on the six-item Cognitive Impairment Test. Physiological outcomes are displayed in table 3. Resting arterial oxygen saturation measured by pulse oximetry (SpO) was <94% in two out of 119 (1.7%) patients. 115 (97%) completed the 4MGS. Mean±sd 4MGS was 0.87±0.29 m·s−1 and 44 (38%) had 4MGS <0.8 m·s−1. 109 (92%) completed the STS. The number of repetitions performed was <2.5th percentile in 56 (52%). 39 (35%) desaturated by ≥4% and 13 (12%) desaturated to SpO ≤88%. There were no adverse events during physiological testing. There were no associations between pre-morbid obstructive lung disease and physiological functional impairment (OR 0.68, 95% CI 0.16–2.95; p=0.605) (table 2); however, cardiovascular disease was associated with 4MGS <0.8 m·s−1 (OR 3.95, 95% CI 0.42–2.49; p=0.003). There were no associations between pre-existing comorbidities and exertional oxygen desaturation (≥4%) during STS testing. There was no relationship between age categories (as defined in table 1) and persistent post-COVID-19 symptoms, self-reported functional disability (mMRC grade not returned to baseline or PCFS grade ≥2) or physiological impairment (4MGS <0.8 m·s−1 or oxygen desaturation ≥4%).
TABLE 3

Physiological outcomes

Resting observations (n=119)
SpO2 %98 (97–99)
 Heart rate beats·min−186±13
 Systolic blood pressure mmHg137 (126–151)
4MGS m·s−1 (n=115)0.87±0.29
 ≥0.871 (61.7, 53.9–70.4)
 <0.844 (38.3, 29.6–46.1)
STS repetitions·min−1 (n=109)20±7.8
 p(<2.5%)56 (51.9, 42.6–60.2)
 p(2.5–25%)39 (36.1, 28.7–43.5)
 p(25–50%)9 (8.3, 4.6–13.0)
 p(50–75%)3 (2.8, 0.0–6.5)
 p(75–97.5%)1 (0.9, 0.0–2.8)
STS SpO2 nadir % (n=109)96 (93–97)
 Desaturation ≥4%39 (34.5, 26.5–41.6)
 Desaturation to SpO2 ≤88%13 (11.5, 7.1–15.9)

Data are presented as median (interquartile range), mean±sd or frequency (%, 95% CI). SpO: arterial oxygen saturation measured by pulse oximetry; 4MGS: 4-m gait speed; STS: 1-min Sit-to-Stand test; p(<2.5%): patients below 2.5th percentile; p(2.5–25%): patients between 2.5th and 25th percentile; p(25–50%): patients between 25th and 50th percentile; p(50–75%): patients between 50th and 75th percentile; p(75–97.5%): patients between 75th and 97.5th percentile.

Physiological outcomes Data are presented as median (interquartile range), mean±sd or frequency (%, 95% CI). SpO: arterial oxygen saturation measured by pulse oximetry; 4MGS: 4-m gait speed; STS: 1-min Sit-to-Stand test; p(<2.5%): patients below 2.5th percentile; p(2.5–25%): patients between 2.5th and 25th percentile; p(25–50%): patients between 25th and 50th percentile; p(50–75%): patients between 50th and 75th percentile; p(75–97.5%): patients between 75th and 97.5th percentile. All 119 patients underwent chest radiography at follow-up assessment. RALE scores at admission, peak of inpatient clinical illness and follow-up are presented in figure 4. Only 15 (13%) had evidence of COVID-19-related lung disease on follow-up radiography (RALE score >4). 56 patients were invited for follow-up CT and pulmonary angiography based on abnormal chest radiography, persistent respiratory symptoms or exercise desaturation. Of these, 42 scans demonstrated features of COVID-19-related interstitial lung disease and/or airways disease: 21 (37.5%, 95% CI 26.8–48.2%) revealed ground-glass/organising pneumonia, nine (16.1%, 95% CI 8.9–25.0%) revealed small airways disease/bronchiectasis, five (8.9%, 95% CI 3.6–16.1%) revealed a combination of interstitial patterns, four (7.1%, 95% CI 1.8–14.3%) had a combination of interstitial and airways changes, and three (5.4%, 95% CI 0.0–12.5%) revealed fibrosis/nonspecific interstitial pneumonia. 14 (26.2%, 95% CI 15.1–37.7%) CT scans were normal or had no abnormality to explain persistent symptoms or desaturation. No pulmonary emboli were identified on CT pulmonary angiography. Presence of COVID-19-related CT abnormalities was associated with mental health screening questionnaires (PHQ-9 >9, GAD-7 >9 and/or Trauma Screening Questionnaire ≥6) (Chi-squared=3.98, 95% CI 0.02–0.54; p=0.046), but not with any measure of patient-reported or physiological functional impairment (mMRC, PCFS, 4MGS <0.8 m·s−1 or oxygen desaturation ≥4% during STS testing). Only 21% of patients with abnormal CT findings also had an abnormal follow-up chest radiograph; however, 78% of those with oxygen desaturation ≥4% during STS also had abnormal CT findings. 33 patients had a normal chest radiograph (RALE score 0–4) and an abnormal CT scan; nine patients had both an abnormal chest radiograph (RALE score >4) and an abnormal CT scan. Among those with abnormal CT scans, presence or absence of radiographic abnormalities was not predictive of any patient-reported or physiological outcome measure.
FIGURE 4

Box plots of Radiographic Assessment of Lung Oedema (RALE) scores at admission, worst during hospitalisation and follow-up. Observed values are indicated by circles. Shaded boxes indicate interquartile range with median indicated by the midline and mean indicated by a diamond. The lower/upper whiskers represent the range to the minimum/maximum value or 1.5 times the median to the lower/upper quartile, whichever is highest.

Box plots of Radiographic Assessment of Lung Oedema (RALE) scores at admission, worst during hospitalisation and follow-up. Observed values are indicated by circles. Shaded boxes indicate interquartile range with median indicated by the midline and mean indicated by a diamond. The lower/upper whiskers represent the range to the minimum/maximum value or 1.5 times the median to the lower/upper quartile, whichever is highest. Ordinal logistic regression modelling was performed for the outcomes of return of mMRC grade to pre-COVID-19 baseline, PCFS grade ≥2, positive mental health screening (PHQ-9 or GAD-7 >9 or Trauma Screening Questionnaire ≥6) and physiological functional impairment (4MGS <0.8 m·s−1, STS repetitions <2.5th percentile or oxygen desaturation ≥4% on STS) (table 3). Positive associations were found between PCFS grade ≥2, physiological impairment (4MGS <0.8 m·s−1 and STS repetitions <2.5th percentile) and positive mental health screening. Critical care admission and need for IMV were associated with physiological functional impairment. Neither worst inpatient nor follow-up RALE score were associated with any modelled outcome measure.

Discussion

Principal findings

This is the first study to provide holistic characterisation of medium-term sequelae 2 months following severe COVID-19 pneumonia incorporating clinical, radiological, physiological and psychological outcome measures. At 7–9 weeks following index hospitalisation, chest radiography was a poor marker of abnormal CT findings and persistent functional disability. 87% of patients had a RALE score 0–4. 75% of CT scans demonstrated COVID-19-related interstitial lung disease and/or airways disease; however, only 21% of patients with abnormal CT findings also had an abnormal follow-up chest radiograph. The burdens of persistent symptoms, mental health disorders and functional disability 2 months following index hospitalisation were high, with persistent fatigue (68%) and sleep disturbance (57%) more prevalent than respiratory symptoms (breathlessness 32% and cough 7%). Significant depression and anxiety was present in 18% and 22% of patients, respectively, and 25% screened positive for PTSD. 41% of patients reported persistent limitations in everyday life due to COVID-19 (PCFS grade ≥2) and mMRC grade failed to return to pre-COVID-19 baseline in 44%. Face-to-face assessment was invaluable in identifying the high prevalence of objective functional impairment, evident during physiological testing: 4MGS was <0.8 m·s−1 in 38%, the number of repetitions was <2.5th percentile for age and sex in 52% of patients performing the STS test, and 35% desaturated by ≥4% during the STS test.

Comparison with other studies

The baseline characteristics and inpatient clinical course of this cohort are highly consistent with national data for COVID-19 critical care admissions with regard to age, sex, BMI, PaO/FIO severity, proportion requiring IMV and duration of ICU admission [24]. The higher proportion of patients from an ethnic minority background is consistent with the local population served by our hospital. Data from 20 133 patients hospitalised with COVID-19 in the UK between February and April 2020 demonstrated a 26% inpatient mortality, comparable to the 27% inpatient mortality observed in this cohort [25]. Characteristics of this cohort are also consistent with previous studies that have identified risk factors for severe COVID-19 illness, including male sex and obesity, severe hypoxaemic respiratory failure requiring intensive respiratory support, and high rates of abnormal admission investigations, including lymphopenia, thrombocytopenia, and elevated C-reactive protein, D-dimer and ferritin [2, 26]. High rates of inpatient complications attributable to COVID-19 were observed, comparable to published data, including venous thromboembolism, acute kidney injury, deranged liver function and delirium [2, 27, 28]. Follow-up patients were younger with fewer comorbidities than the total cohort surviving to discharge, likely representing the characteristics of COVID-19 survivors, since these have been identified as risk factors for inpatient mortality in retrospective analyses [29, 30]. Few data are available on medium- and long-term effects of COVID-19 following hospital discharge. Our population characteristics are consistent with an Italian post-COVID-19 clinic cohort who had comparable quality-of-life impairment and persistent symptoms, although these patients were seen sooner following hospital discharge (mean±sd 36±13 days compared with median (IQR) 61 (51–67) days) [31]. Compared with studies evaluating radiological sequelae of MERS, the proportion of patients with chest radiograph resolution was much larger in our cohort (87% measured at median (IQR) 76 (71–83) days from admission compared with 64% measured at 32–230 days) [32]. Data on post-COVID-19 CT findings are currently limited to within 3 weeks of symptom onset and indicate rapid evolution from unilateral multifocal ground-glass opacities to bilateral diffuse involvement to early reductions in ground-glass opacities by week 2 [33]. This is the first study to report CT outcomes post-discharge. We did not perform CT scans indiscriminately and would therefore anticipate that this selection would lead to overrepresentation of interstitial abnormalities. Conversely, interstitial changes were less common in our cohort compared with patients with previous SARS, in whom 15 out of 24 (62%) patients exhibited fibrotic changes on CT [5]. 15-year longitudinal data from SARS patients demonstrate resolution or stability of ground-glass changes with corresponding stability of total lung capacity and carbon monoxide diffusing capacity on lung function testing [34]. The long-term clinical implications and prognosis of COVID-19-related interstitial changes identified in the post-acute phase of illness remain unknown and labelling these abnormalities as lung fibrosis appears premature, particularly given the lack of association between presence of CT abnormalities and any measure of patient-reported or physiological functional impairment in this cohort. Prevalence of persistent and burdensome physical symptoms, patient-reported and physiological functional impairment, and psychological sequelae was high in our cohort, and critical care admission and need for IMV were both associated with patient-reported and objective functional impairment. This is consistent with medium- and long-term data from ARDS and SARS survivors, in whom impaired quality of life and functional disability (measured using the 36-item Short Form Survey and 6-min walk test (6MWT)) were present at 3, 6 and 12 months following index hospitalisation [4, 7]. The burdens of patient-reported and physiological outcomes were high despite radiographic resolution occurring in the majority. Reasons for this remain speculative and may relate to our early assessment of patients with severe disease at median (IQR) 61 (51–67) days post-discharge. Long-term data on post-COVID-19 symptoms and functional outcomes are awaited. Clinically significant depression and anxiety were present in 18% and 22% of our cohort, respectively, and 25% screened positive for PTSD, consistent with published data (31% depression, 42% anxiety and 28% PTSD at 1 month post-discharge) [35].

Implications for clinical practice

Persistent symptoms of fatigue and sleep disturbance following severe COVID-19 pneumonia have implications for productivity, physical activity and mental health, reflected in the high rates of positive screening tests for anxiety, depression and PTSD observed in this cohort. While causative mechanisms for adverse mental health outcomes following COVID-19 infection have not been established, mental distress at the population level has increased in excess of anticipated trajectories during the COVID-19 pandemic [9]. ICU-acquired weakness is a major contributor to adverse long-term physical and psychological sequelae of critical illness [6] and likely applicable to COVID-19-survivors, particularly since conventional methods of rehabilitation and exercise have been limited [36]. It has also been speculated that biological pathophysiological mechanisms, relating to cerebral vascular inflammation and thrombosis, survivor guilt and isolation in COVID-19 survivors may also contribute to adverse mental health outcomes in this cohort [28, 35]. Chest radiography 12 weeks post-discharge is advocated by current guidelines to evaluate recovery, with face-to-face clinical assessment recommended only in those with abnormal radiographs or those who experienced severe illness [11]. However, the majority (87%) of radiographs performed at follow-up demonstrated recovery (RALE score <5) despite the high prevalence of adverse patient-reported and/or physiological outcomes. The clinical implications of post-COVID-19 interstitial changes identified on CT remain unclear. Of note, parenchymal abnormalities in SARS survivors demonstrated recovery and stability in the 2 years following infection [34]. We strongly encourage integrated holistic assessment of COVID-19 survivors using both radiological and clinical reviews, which may be conducted face-to-face or virtually depending on healthcare resources and patient preference. The battery of outcome measures implemented in this study is impractical for routine clinical use. Focused patient interview is an appropriate substitute for questionnaires, utilising the data presented, and we recommend routine application of functional exercise testing. The 4MGS and 1-min STS tests are reliable and validated methods of assessing exercise performance, are predictive of health-related quality of life, and correlate with other tests of functional capacity, including the incremental shuttle walk test (ISWT) and 6MWT [21, 37, 38]. These self-paced tests were quick to perform, required simple instructions to the patients, minimal space, equipment and training, and were completed in the majority of cases with no adverse events. Importantly, they provided valuable clinical information regarding oxygen desaturation and exercise limitation that was not obtained from other sources, thus identifying a cohort of patients requiring CT evaluation and who may benefit from pulmonary rehabilitation or advice on graded and paced return to usual activities, although current facilities and evidence in this context remains unestablished [39, 40].

Strengths and limitations

We rapidly designed a pragmatic clinical service to prospectively collect comprehensive data on physical and psychological recovery from severe COVID-19 at a time when sequelae of the acute illness were unknown and healthcare resources were severely strained. We conducted systematic face-to-face assessments which enabled collection of a wealth of clinical, radiological, patient-reported and physiological data in a short period, with all outcome measures contributing to clinical decision making. This study has some limitations. First, it was not possible to perform lung function testing in serial patients due to decontamination procedures required following this aerosol-generating procedure, limiting conclusions that can be drawn regarding respiratory sequelae of the disease [41]. Second, conventional field walking tests to evaluate exercise capacity (6MWT and ISWT) were impractical in the clinic setting. However, the 4MGS and STS tests are reliable, validated and pragmatic methods of assessing exercise performance that correlate with the 6MWT and ISWT, breathlessness, and health-related quality of life [21, 37, 38]. Third, given the ambiguity in current guidance we devised our own definition of “severe” COVID-19 pneumonia in order to assess patients at highest risk of complications and to rationalise resources, given the large number of COVID-19 admissions. This approach may have missed some patients with persistent symptoms or functional disability; however, those recovering from mild to moderate disease are now being invited to attend the post-COVID-19 clinic and we plan to report their outcomes in due course. Finally, these data were collected from a single, urban teaching centre which limits the generalisability of our results. However, this dataset is sufficiently large to provide reasonable estimates of post-COVID-19 sequelae while results of multicentre studies are awaited.

Conclusions

We have demonstrated that the burden of persistent symptoms, functional limitation and adverse mental health outcomes 2 months after severe COVID-19 pneumonia is high. Physiological impairments frequently persist despite apparent resolution of infiltrates on follow-up chest radiography. Routinely offering face-to-face post-COVID-19 follow-up assessment permitted inclusion of self-paced “bedside” physiological tests, which provided valuable clinical information on functional disability warranting further investigation that could not have been obtained from questionnaires or telephone consultations. With confirmed cases of COVID-19 continuing to rise worldwide, we recommend prompt face-to-face or virtual clinical assessment of COVID-19 pneumonia survivors to facilitate early recognition and management of physical and psychological sequelae in this vulnerable cohort. Please note: supplementary material is not edited by the Editorial Office, and is uploaded as it has been supplied by the author. Supplementary material 00655-2020.SUPPLEMENT
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2.  A brief measure for assessing generalized anxiety disorder: the GAD-7.

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3.  Post-traumatic stress disorder after critical illness requiring general intensive care.

Authors:  Brian H Cuthbertson; Alastair Hull; Mary Strachan; Judith Scott
Journal:  Intensive Care Med       Date:  2003-09-05       Impact factor: 17.440

4.  Thin-section CT in patients with severe acute respiratory syndrome following hospital discharge: preliminary experience.

Authors:  Gregory E Antonio; K T Wong; David S C Hui; Alan Wu; Nelson Lee; Edmund H Y Yuen; C B Leung; T H Rainer; Peter Cameron; Sydney S C Chung; Joseph J Y Sung; Anil T Ahuja
Journal:  Radiology       Date:  2003-06-12       Impact factor: 11.105

5.  Tools for assessing outcomes in studies of chronic cough: CHEST guideline and expert panel report.

Authors:  Louis-Philippe Boulet; Remy R Coeytaux; Douglas C McCrory; Cynthia T French; Anne B Chang; Surinder S Birring; Jaclyn Smith; Rebecca L Diekemper; Bruce Rubin; Richard S Irwin
Journal:  Chest       Date:  2015-03       Impact factor: 9.410

6.  Follow-up chest radiographic findings in patients with MERS-CoV after recovery.

Authors:  Karuna M Das; Edward Y Lee; Rajvir Singh; Mushira A Enani; Khalid Al Dossari; Klaus Van Gorkom; Sven G Larsson; Ruth D Langer
Journal:  Indian J Radiol Imaging       Date:  2017 Jul-Sep

7.  Long-term bone and lung consequences associated with hospital-acquired severe acute respiratory syndrome: a 15-year follow-up from a prospective cohort study.

Authors:  Peixun Zhang; Jia Li; Huixin Liu; Na Han; Jiabao Ju; Yuhui Kou; Lei Chen; Mengxi Jiang; Feng Pan; Yali Zheng; Zhancheng Gao; Baoguo Jiang
Journal:  Bone Res       Date:  2020-02-14       Impact factor: 13.567

8.  Simple functional performance tests and mortality in COPD.

Authors:  Milo A Puhan; Lara Siebeling; Marco Zoller; Patrick Muggensturm; Gerben ter Riet
Journal:  Eur Respir J       Date:  2013-03-21       Impact factor: 16.671

9.  The Post-COVID-19 Functional Status scale: a tool to measure functional status over time after COVID-19.

Authors:  Frederikus A Klok; Gudula J A M Boon; Stefano Barco; Matthias Endres; J J Miranda Geelhoed; Samuel Knauss; Spencer A Rezek; Martijn A Spruit; Jörg Vehreschild; Bob Siegerink
Journal:  Eur Respir J       Date:  2020-07-02       Impact factor: 16.671

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Authors:  Rebekah Anstey; Jennifer Rossdale; Alexander Dereham; Eleanor Peter; Rey Tan; Robert Mackenzie Ross; Graham Robinson; Tom Hartley; Jay Suntharalingam; Jonathan Cl Rodrigues
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2.  Searching for Factors Influencing the Severity of the Symptoms of Long COVID.

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3.  "The whole of humanity has lungs, doesn't it? We are not all the same sort of people": patient preferences and choices for an online, self-guided chronic breathlessness supportive intervention: SELF-BREATHE.

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4.  Post COVID-19 fitness to dive assessment findings in occupational and recreational divers.

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5.  Assessment of the Frequency and Variety of Persistent Symptoms Among Patients With COVID-19: A Systematic Review.

Authors:  Tahmina Nasserie; Michael Hittle; Steven N Goodman
Journal:  JAMA Netw Open       Date:  2021-05-03

6.  A Mid-to-Long Term Comprehensive Evaluation of Psychological Distress and Erectile Function in COVID-19 Recovered Patients.

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8.  Post-COVID-19 Symptom Burden: What is Long-COVID and How Should We Manage It?

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10.  Prevalence of potential respiratory symptoms in survivors of hospital admission after coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis.

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