Skip to main content
Erschienen in: Annals of Intensive Care 1/2022

Open Access 01.12.2022 | Research

Result of one-year, prospective follow-up of intensive care unit survivors after SARS-CoV-2 pneumonia

verfasst von: Guillaume Eberst, Fréderic Claudé, Lucie Laurent, Aurelia Meurisse, Pauline Roux-Claudé, Cindy Barnig, Dewi Vernerey, Sophie Paget-Bailly, Kevin Bouiller, Catherine Chirouze, Julien Behr, Franck Grillet, Ophélie Ritter, Sinan Karaer, Sébastien Pili-Floury, Hadrien Winiszewski, Emmanuel Samain, Pierre Decavel, Gilles Capellier, Virginie Westeel

Erschienen in: Annals of Intensive Care | Ausgabe 1/2022

Abstract

Introduction

Survivors of viral ARDS are at risk of long-term physical, functional and neuropsychological complications resulting from the lung injury itself, but also from potential multiorgan dysfunction, and the long stay in the intensive care unit (ICU). Recovery profiles after severe SARS-CoV-2 pneumonia in intensive care unit survivors have yet to be clearly defined.

Material and methods

The goal of this single-center, prospective, observational study was to systematically evaluate pulmonary and extrapulmonary function at 12 months after a stay in the ICU, in a prospectively identified cohort of patients who survived SARS-CoV-2 pneumonia. Eligible patients were assessed at 3, 6 and 12 months after onset of SARS-CoV-2. Patients underwent physical examination, pulmonary function testing, chest computed tomography (CT) scan, a standardized six-minute walk test with continuous oximetry, overnight home respiratory polygraphy and have completed quality of life questionnaire. The primary endpoint was alteration of the alveolar–capillary barrier compared to reference values as measured by DLCO, at 12 months after onset of SARS-CoV-2 symptoms.

Results

In total, 85 patients (median age 68.4 years, (interquartile range [IQR] = 60.1–72.9 years), 78.8% male) participated in the trial. The median length of hospital stay was 44 days (IQR: 20–60) including 17 days in ICU (IQR: 11–26). Pulmonary function tests were completed at 3 months (n = 85), 6 months (n = 80), and 12 months (n = 73) after onset of symptoms. Most patients showed an improvement in DLCO at each timepoint (3, 6, and 12 months). All patients who normalized their DLCO did not subsequently deteriorate, except one. Chest CT scans were abnormal in 77 patients (96.3%) at 3 months and although the proportion was the same at 12 months, but patterns have changed.

Conclusion

We report the results of a comprehensive evaluation of 85 patients admitted to the ICU for SARS-CoV-2, at one-year follow-up after symptom onset. We show that most patients had an improvement in DLCO at each timepoint.
Trial registration: Clinical trial registration number: NCT04519320.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s13613-022-00997-8.
Guillaume Eberst and Fréderic Claudé equally contributed to this work

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
ARDS
Acute respiratory distress syndrome
CPET
Cardiopulmonary exercise testing
CT scan
Computed tomography scan
DLCO
Lung diffusing capacity for CO
HADS
Hospital Anxiety and Depression Scale
HRQoL
Health-related quality of life
ICU
Intensive care unit
IQR
Interquartile range
LLN
Lower limit of normal
MEP
Maximal expiratory pressure
MIP
Maximal inspiratory pressure
SARS-CoV-2
Severe acute respiratory syndrome coronavirus 2
SF-36
Medical outcomes study (MOS) Short-Form 36-item questionnaire (SF36)
6MWD
Six-minute walk distance
6MWT
Six-minute walk test

Introduction

In late December 2019, an outbreak of pneumonia started in Wuhan, China, caused by a novel coronavirus, which was named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) [1], due to the occurrence of severe acute respiratory distress syndrome (ARDS) in 29% of hospitalized patients.
Although data to accurately estimate the extent of post-SARS-CoV-2 sequelae are lacking, survivors of viral ARDS are at risk of long-term physical, functional and neuropsychological complications resulting from the lung injury itself, but also from potential multiorgan dysfunction, and the long stay in the intensive care unit (ICU) [24]. Post-viral syndromes are well documented following other viral infections, including previous coronavirus outbreaks such as severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS). SARS resulted in significant repercussions on pulmonary function, chronic musculoskeletal pain, and long-term mental disorders in survivors [5]. Chen et al. followed up 56 patients with H7N9 avian influenza to analyze pulmonary function and imaging changes up to 2 years after infection. Their results showed that despite interstitial changes and fibrosis on imaging, ventilation and diffusion dysfunction improved during the first 3 months and the improvement was associated with the sequelae observed at 2 years [6]. Wu et al. recently reported serial pulmonary function, exercise capacity, and chest high-resolution computed tomography (HRCT) changes in non-intubated patients hospitalized in Wuhan with severe SARS-CoV-2 pneumonia at 3, 6, 9, and 12 months following hospital discharge. They found evidence of persistent physiological and radiographic changes in a subgroup of patients [7]. To the best of our knowledge, there is no European report focusing exclusively on the most severe patients, as defined by the World Health Organization (WHO) categories. The long-term effect of SARS-CoV-2 on lung parenchyma and pulmonary function remains an open question.
With 295 patients hospitalized in the ICU at the peak of the epidemic in April, the region of Bourgogne-Franche-Comté in Eastern France was one of the regions with the highest incidence rates and ICU admissions for SARS-CoV-2 in France [8]. The goal of this study was to describe one-year recovery profiles, defined by repeated respiratory and exercise function, and quality of life evaluations, in a prospectively identified cohort of ICU patients who survived severe pneumonia.

Methods

Patients and study design of COV-RECUP

This single-center, prospective, observational study was performed in the French University Hospital of Besançon from April 2020 to June 2021 (first wave). All SARS-CoV-2 ICU survivors were contacted upon discharge from ICU and invited to participate in the trial. Patients were eligible if they had SARS-CoV-2 infection diagnosed by viral RNA detection by quantitative RT-PCR on nasal swabs or bronchoalveolar lavage. Patients had to have been admitted to the ICU with SpO2 < 92% and evidence of air-space changes in 25% of lung parenchyma on chest CT scan. For fear of non-compliance with follow-up procedures due to increased morbidity–mortality, patients were excluded if they were older than 79 years. Other exclusion criteria were the following: chronic respiratory insufficiency, long-term oxygen therapy, interstitial lung disease, significant psychiatric disorders, or a life expectancy estimated at less than one year. The study consisted in follow-up visits, including outpatient evaluation at 3, 6 and 12 months after symptom onset. Only for patients with sequelae, annual follow-up was planned up to a maximum of 5 years. After discharge from the ICU, all inpatients underwent targeted exercise rehabilitation twice daily for at least 20 min with a physiotherapist. Exercise rehabilitation consisted of passive range of motion, active range of motion, electrical muscle stimulation, sitting, tilting, standing, ambulation, and other mobilization techniques depending on the patient’s condition. Cardiopulmonary rehabilitation was performed with aerobic physical activity. All patients included in the study were systematically offered early psychological follow-up.
Written consent was obtained before the first visit at 3 months and the protocol was approved by the ethics committee (Comité de Protection des Personnes (CPP) Grand-Est) on 21/04/2020. The COV-RECUP study was performed in accordance with the Declaration of Helsinki and Good Clinical Practice guidelines (Clinical trial registration number: NCT04519320).

Follow-up procedures

At 3, 6 and 12 months (± 3 weeks) after onset of SARS-CoV-2 symptoms, patients underwent a physical examination, pulmonary function testing, blood gas analysis, non-contrast enhanced chest millimeter section CT scan, resting oximetry, and a standardized six-minute walk test (6MWT) with continuous oximetry. At 3 months only, because of risk factors common to severe COVID-19 infection and sleep apnea syndrome, a complete overnight home respiratory polygraphy was performed to evaluate the frequency of sleep apnea syndrome. Routine spirometry, and single breath hemoglobin-adjusted DLCO were performed using Global Lung Function Initiative reference values [9, 10]. Maximum expiratory (MEP) and inspiratory pressures (MIP) (Platinum Elite; MGC Diagnostics Corporation, Saint Paul, Minnesota, USA) were performed using healthy subjects reference values [11]. For single breath hemoglobin-adjusted DLCO measurements, patients were instructed to hold their breath for 10 s followed by a complete and consistent exhalation, at which time an alveolar sample of exhaled gas was analyzed for calculation of uptake of CO. Six-minute walk distance (6MWD) was assessed according to established guidelines. Symptom-limited incremental cardiopulmonary exercise testing (CPET) was performed on an electronically braked cycle ergometer (Ergometrics 900, Ergoline, Bitz, Germany) and physiological data were obtained breath by breath (MGC-CPX System; MGC Diagnostics).
Chest CT scans were performed on a Revolution CT (GE Healthcare, Milwaukee, WI, USA). Imaging results were reviewed by two chest radiologists (J.B. and F.G. with, respectively, 11 and 6 years of experience) (Carestream Health, Rochester, NY, USA). Readers were blinded to the patient’s status, clinical and biological features. Readers were asked to assess presence or absence of abnormalities. The extent of lesions was graded from 0 to 4 as follows: 0 = 0%, 1 = [1–24%], 2 = [25–49%], 3 = [50–74%], 4 = [75–100%] of whole lung surface. The topography of each lesion was also assessed.
Patients were asked to complete the Hospital Anxiety and Depression Scale (HADS), to assess symptoms of anxiety and depression; and the Medical Outcomes Study 36-item Short-Form general health survey (SF-36), which measures health-related quality of life (HRQoL). The SF-36 includes eight multiple-item scales that assess physical functioning, social functioning, role physical, role emotional, mental health, pain, vitality, and general health. Scores for each dimension range from 0 (worst) to 100 (best) [12]. The HADS was developed to detect states of depression and anxiety in adults aged 16–65 years [13]. It contains an anxiety subscale (HADS-A) and a depression subscale (HADS-D), each consisting of 7 items, rated on a four-point Likert scale (0–3). A maximum count of 21 points per subscale is possible. A score of 0–7 is considered as normal, 8–10 as a borderline case, and 11–21 as a case (anxiety or depression). The questionnaire is designed to assess the participants' state over the past 2 weeks.

Statistical analysis

Our working hypothesis was that we would observe persistent pulmonary function changes in a subgroup of patients. To describe the recovery profile of the patients at 12 months, a primary endpoint of respiratory function was chosen, namely the hemoglobin-adjusted DLCO compared to reference values. This measure provides a standardized, objective, integrated assessment of the capillary alveolus barrier and therefore pulmonary function. The primary endpoint was alteration of the alveolo-capillary barrier at 12 months after symptom onset as measured by DLCO. Continuous variables are expressed as median (interquartile range) and were compared using Mann–Whitney U test or Wilcoxon signed rank test; categorical variables are expressed as number (percentage) and were compared using chi square or Fisher’s exact test or McNemar's test, as appropriate. Comparison of parameters over time was analyzed using linear mixed models in case of a linear evolution. Unconditional logistic regression models were performed to estimate the odds ratio (OR) and 95% confidence interval (CI) for factors associated with altered DLCO at 3 months. The relation between baseline clinical and biological parameters and altered DLCO was first assessed by univariate analyses. Continuous variables were transformed into categorical variables using the median, tertiles and receiving operating characteristic (ROC) curves to identify the best cutoff. Collinearity among variables was assessed using a correlation matrix. For variables with significant correlations (defined by a correlation coefficient ≥ 0.3 associated with a p-value < 0.001), only one variable was selected for inclusion in the multivariable model. The Concato rule (1 variable for at least 10 events) was applied. The most relevant clinical variables with a p-value < 0.05 by univariate analysis were selected for inclusion in the multivariate analysis.
All analyses were performed using SAS version 9.4 (SAS Institute, Cary NC) and R (version 4.0.5). p values of less than 0.05 were considered statistically significant, and all tests were two-sided. No adjustment was performed for multiple testing.

Results

Characteristics of the study population at ICU admission

A total of 149 patients with an initial diagnosis of severe SARS-CoV-2 pneumonia were admitted to the ICU; among these, 90 were eligible for the study and 85 participated (Fig. 1). Fifty-nine patients were ineligible for the following reasons: 28 deaths, 5 negatives for SARS-CoV-2 (negative quantitative RT-PCR), 12 were aged > 79 years, and 14 for other reasons (Fig. 1). Among the 90 eligible patients, 3 refused to participate, 1 did not show up for the appointment and 1 patient was outside the time limits for inclusion. The median follow-up for the full cohort was 12 months (interquartile range (IQR): 11.5–12.3). Twelve patients were lost to follow-up, 5 between 3 and 6 months (1 died, 2 declined to continue follow-up, 1 lost to follow-up and 1 hospitalized for intercurrent disease), and 7 between 6 and 12 months (5 declined to continue follow-up and 2 patients did not show up for their appointment).
The demographic characteristics of study population (N = 85) are detailed in Table 1. Median age was 68.4 years (IQR: 60.1–72.9 years). Sixty-seven patients (78.8%) were males. Only one patient was a current smoker, 57.7% were former smokers and 41.2% never-smokers. A large majority of patients had known comorbidities (92.9%), including mostly respiratory and cardiovascular disorders. Twenty-eight patients were obese (32.9%), 44 had arterial hypertension (51.8%), 21 had diabetes (24.7%) and 27 had dyslipidemia (31.8%). The median length of hospital stay was 44 days (IQR: 20–60) and the median length of stay in the ICU was 17 days (IQR: 11.0–26.5). Fifty-seven patients (67.1%) required admission to a rehabilitation facility at hospital discharge. Thirty-six patients received steroids (45.9%), 33 during hospitalization and 3 after the 3-month evaluation.
Table 1
Characteristics and medical history at enrollment (3 months after COVID-19 symptoms onset)
 
Patients (n = 85)
Age, years
68.4 (60.1–72.9)
Male
67 (78.8%)
Smoking status
 
 Current smoker
1 (1.2%)
 Former smoker
49 (57.6%)
 Never smoker
35 (41.2%)
Comorbidities before SARS-CoV-2 infection
 
 Obesity
28 (32.9%)
  Class I (BMI 30–34.9)
15 (53.6%)
  Class II (BMI 35–39.9)
10 (35.7%)
  Class III (BMI ≥ 40)
3 (10.7%)
 Cardiovascular
 
  Ischemic heart disease
9 (10.6%)
  Heart failure
1 (1.2%)
  Atrial fibrillation
7 (8.2%)
  Stroke
2 (2.4%)
 Respiratory diseases
 
  COPD
7 (8.2%)
  Asthma
6 (7.1%)
  Sleep apnea
16 (18.8%)
 Other cardiovascular risk factors
 
  Hypertension
44 (51.8%)
  Diabetes
21 (24.7%)
  Dyslipidemia
27 (31.8%)
 Thromboembolic disease
 
  Deep vein thrombosis
4 (4.7%)
  Pulmonary embolism
0 (0.0%)
Intensive care unit
 
 Length of stay (days)
17 (11.0–26.5)
 Intubation
73 (85.9%)
 Neuromuscular blocking agents (N = 72)a
71 (98.6%)
 High flow oxygen therapyb
35 (41.2%)
  Before intubation
14 (16.5%)
  After intubation
29 (41.4%)
 Non-invasive ventilationb
12 (14.1%)
  Before intubation
1 (1.2%)
  After intubation
10 (14.1%)
 Prone position
62 (73.8%)
 Pulmonary embolism
20 (23.5%)
Hospital stay
 
 Length of hospitalization (days)
45 (20–62)
 In-hospital COVID-directed treatments
 
  Corticosteroids
36 (42.4%)
  Remdisivir
5 (5.9%)
  Lopinavir
9 (10.6%)
  Ritonavir
10 (11.8%)
  Hydroxychloroquine
54 (63.5%)
  Azithromycin
45 (52.9%)
  Others macrolides
55 (64.7%)
Rehabilitation post hospitalization
 
 Admission in rehabilitation units
57 (67.1%)
 Return home with rehabilitation
11 (12.9%)
 Return home without rehabilitation
17 (20.0%)
Values are presented as medians (interquartile ranges) or number of patients (percentages)
BMI body mass index, COPD chronic obstructive pulmonary disease
aData were unavailable for 1 the 73 intubate patients
bDetails were missing for 2 patients in high-flow oxygen therapy and 1 for non-invasive ventilation

Recovery profiles

Pulmonary function tests were completed in all patients at 3 months (n = 85), in 80 patients at 6 months, and in 73 patients at 12 months following onset of SARS-CoV-2. Most patients showed an improvement in their DLCO at each timepoint and patients who normalized their DLCO did not subsequently deteriorate. Forty-nine patients had returned to normal DLCO at 3 months (58%), 66 (85%) at 6 months, and 63 (89%) at 12 months (Additional file 1: Fig. S1). Median DLCO was 80% of predicted (IQR 64–91) at 3 months, 91% of predicted (79–104) at 6 months, and increased to 98% of predicted (88–107) at 12 months (p < 0.0001). Eight patients (11%) presented a DLCO below the lower limit of normal (LLN) at 12 months. Among patients with a DLCO below the LLN at 12 months, a mild-to-moderate reduction in DLCO was observed, with median DLCO at 62.0% of predicted (IQR 52.0 to 69.1 percent of the predicted values) (Table 2).
Table 2
Functional, physiological and CT scan data at 3, 6 and 12 months
 
3 months
(N = 85)
6 months
(N = 80)
12 months
(N = 73)
p-value
M3–M6
p-value
M6–M12
p-value
Mixed model
Dyspnea (mMRC scale)
      
 Number evaluated
83 (97.6%)a
78 (97.5%)a
73 (100%)
   
 0
30 (36.1%)
34 (43.6%)
35 (47.9%)
0.3397
0.1951
NA
 1
39 (47.0%)
32 (41.0%)
34 (46.6%)
   
 2
8 (9.6%)
12 (15.4%)
14 (5.5%)
   
 3–4
6 (7.2%)
0 (0.0%)
0 (0.0%)
   
Oxygen therapy
      
 Ambulatory oxygen therapy
5 (5.9%)
4 (5.0%)
4 (5.5%)
NA
 Long-term oxygen therapy
3 (3.5%)
1 (1.3%)
1 (1.4%)
0.3173
1
NA
Lung volumes, spirometry and diffusing capacity
     
 FVC (% of pred)
92.0 (80.0–103.6)
99.0 (86.6–112.1)
105.0 (92.0–120.0)
 < 0.0001
 < 0.0001
 < 0.0001
 Altered FVC (Z score FVC < − 1.64)
18 (21.2%)
8 (10.0%)
4 (5.5%)
0.0067
0.1797
NA
 FEV1 (% of pred)
92.0 (81.0–103.2)
99.7 (88.4–115.0)
104.0 (92.0–118.0)
 < 0.0001
 < 0.0001
 < 0.0001
 FEV1/FVC (%)
82.0 (74.0–86.0)
81.5 (74.5–86.0)
81.0 (73.0–85.0)
0.0267
0.0033
0.0275
 FEV1/FVC < 70%
12 (14.1%)
10 (12.5%)
12 (16.4%)
0.5637
0.3173
NA
 DLCO (% of pred)
80.0 (64.0–91.2)
90.9 (79.9–103.8)
98.3 (88.4–106.5)
 < 0.0001
 < 0.0001
 < 0.0001
 Altered DLCO (Z score DLCO < − 1.64)
36 (42.4%)
12 (15.4%)
8 (11.0%)
 < 0.0001
0.3173
NA
 KCO (% of pred)
88.8 (76.5–104.0)
98.3 (86.0–109.5)
102.5 (94.3–114.4)
 < 0.0001
 < 0.0001
 < 0.0001
Respiratory muscle strength
      
 MIP (% of pred)
74.5 (54–95)
89 (70–105)
99 (77–122)
 < 0.0001
0.0002
 < 0.0001
 MEP (% of pred)
50 (40–59)
54 (45–68)
57 (48–69)
0.0095
0.2343
0.0079
 SNIP (% of pred)
84 (68–99)
87 (73–102)
94 (82–120)b
0.0376
 < 0.0001
 < 0.0001
 FVC in supine position (% of pred)
92 (76.5–104)
98 (84–108)
100 (86.5–112.5)§
 < 0.0001
0.0003
 < 0.0001
 Change in FVC in supine position (%)
− 4 ((− 7)–(− 1.5))
− 4 ((− 8)–(− 2))
− 4 ((− 8)–(− 2))c
0.4697
0.5732
0.4534
Blood gas
      
 PaO2 (kPa)
11.1 (10.2–12.3)
10.7 (10.1–11.6)
0.0784
 PaO2 < 9.3 kPa
11 (12.9%)
5 (6.8%)
NA
 PaCO2 (kPa)
4.8 (4.5–5.1)
4.9 (4.6–5.2)
0.1140
6MWT
      
 Number evaluated
79 (92.9%)d
76 (95.0%)f
66 (90.4%)ǁ
 
 Walked distance (m)
481 (400–564)
549.5 (472.5–600.0)
542 (495–600)
 < 0.0001
0.6211
 < 0.0001
 Walked distance < theoretical distance (%)
50 (63.3%)
26 (34.2%)
18 (27.3%)
 < 0.0001
0.3938
NA
 Loss of 4% or more of SpO2
45 (57.0%)
32 (42.1%)
25 (37.9%)
0.1172
0.2971
NA
 SpO2 < 88% at the end of the test
9 (11.4%)
5 (6.6%)
4 (6.1%)
0.1797
1
NA
 Dyspnea on Borg scale before exercise
0 (0–2)
0 (0–1)
0.5 (0–2)
0.0323
0.0025
0.4059
 Dyspnea on Borg scale after exercise
4 (2–6)
4 (3–6)
4 (3–6)
0.2528
0.4482
0.2724
 Fatigue on Borg scale before exercise
0 (0–3)
0 (0–1)
0 (0–2)
0.0010
0.3471
0.2414
 Fatigue on Borg scale after exercise
3 (1–5)
3 (0–3.5)
2 (0–4)
0.0004
0.7865
0.0646
Respiratory polygraphy
      
 Number evaluated
68 (80.0%)g
 
 Sleep apnea syndrome (AHI ≥ 5)
62 (91.2%)
     
 Central events (%)
5.2 (0.6–17.9)
 
Hospital Anxiety and Depression Scale
      
 Anxiety ≥ 11
7 (8.2%)
7 (8.8%)
7 (9.6%)
0.7055
1
NA
 Depression ≥ 11
3 (3.5%)
4 (5.0%)
3 (4.1%)
0.6547
1
NA
CT scan
      
 Number evaluated
80 (94.1%)h
64 (90.1%)i
 
 Abnormal scan
77 (96.3%)
60 (93.8%)
 
  Reticulations
69 (89.6%)
51 (85.0%)
 
   1–25%
52 (75.4%)
42 (82.4%)
 
   26–50%
14 (20.3%)
9 (17.6%)
 
   51–75%
3 (4.3%)
0 (0.0%)
 
  Traction bronchiectases
53 (68.8%)
44 (73.3%)
 
   1–25%
43 (81.1%)
42 (95.5%)
 
   26–50%
10 (18.9%)
2 (4.5%)
 
  Honeycombing
6 (7.8%)
3 (5.0%)
 
   1–25%
4 (66.7%)
3 (100%)
 
   26–50%
2 (33.3%)
0 (0.0%)
 
  Ground-glass opacities
56 (72.7%)
32 (53.3%)
 
   1–25%
42 (75.0%)
30 (93.8%)
 
   26–50%
10 (17.9%)
1 (3.1%)
 
   51–75%
4 (7.1%)
1 (3.1%)
 
  Emphysema
14 (18.2%)
12 (20.0%)
 
   1–25%
6 (42.9%)
5 (41.7%)
 
   26–50%
3 (21.4%)
3 (25.0%)
 
   51–75%
1 (7.1%)
2 (16.7%)
 
   > 75%
4 (28.6%)
2 (16.7%)
 
Cardiorespiratory stress test
 
    
 Number evaluated
61 (83.6%)j
   
 Pmax (watts)
123 (103–153)
 
 VO2 peak (% of pred)
99 (88–106)
 
Values are presented as medians (interquartile ranges) or number of patients (percentages)
ICU intensive care unit, FVC forced vital capacity, FEV1  forced expiratory volume in 1 s, DLCO  diffusing capacity of the lung for carbon monoxide, FeNO  fractional exhaled nitric oxide, MIP  maximal inspiratory pressure, MEP maximal expiratory pressure, SNIP  sniff nasal inspiratory pressure, 6MWT  six-minute-walk test, CT scan  computerized tomography scan
aDyspnea could not be evaluated for the two same patients at 3 and 6 months because they were not yet able to walk
bSNIP could not be evaluated for 27 patients for technical issue
c1 patient felt faint with head trauma during respiratory evaluation and was unable to continue the examinations
d6 patients were not able to perform the 6MWT at 3 months
e4 patients were not able to perform the 6MWT at 6 months
f7 patients were not able to perform the 6MWT at 12 months
gPolygraph was not available for 11 patients and 6 patients had inoperable polygraphs
h5 patients could not get a CT scan for technical issue
i8 patients had a Chest-X Ray and 1 patient could not get a CT scan for technical issue
j12 patients were not able to perform the cardiorespiratory stress test at 12 months
On the 6MWT, 50 patients (63.3%) had walk distances below their age-adjusted predicted values at 3 months (overall median walk distance = 481 m (IQR: 400–564 m)), and 18 (27.3%) at 12 months (overall median walk distance = 542 m (IQR: 495–600 m)) (p < 0.0001). The proportion of patients whose arterial oxygen saturation fell below 88 percent during the 6MWT was 11.4% at 3 months and 6.1% at 12 months. VO2 peak in incremental CPET was a median of 99% of predicted at 12 months (IQR: 88–106). Sixty-eight patients had an overnight polygraphy recording. Sixty-two patients presented on obstructive sleep apnea syndrome with an apnea–hypopnea index (AHI) ≥ 5 (91.2) (Table 2).
Chest CT scans were abnormal in 77 patients (96.3%) at 3 months. When present, radiologic changes included ground glass opacities in most cases (72.7%), atelectases, nodules and alveolar consolidations. At 12 months, the proportion of abnormal CT scan was the same, but there was a change in the patterns (96% vs 95% were abnormal CT Scan). The proportion of scans with ground glass dropped (73% to 53%), but there were more reticulations (10% vs 86%) and traction bronchiectases (69% vs 72%). The extent of each type of lesion decreased during follow-up (Table 2).

Quality of life assessment

All 85 patients completed the SF-36 questionnaire at 3 months. The scores for all domains of the SF-36 remained slightly below 100, three months after the first symptoms of SARS-CoV-2 except for one, namely impairment of work or other regular daily activities as a result of any emotional problem, where scores were normal (Fig. 2). The two domains with the lowest scores were vitality (55) and role-physical (25). In the 18 patients (27.7%) who had walk distances below their age-adjusted predicted values on the 6MWT at 3 months, the median in the vitality domain was 55 (IQR: 45–80). Most patients showed an improvement in their quality of life assessments at each timepoint (3, 6, and 12 months). The domain with the greatest improvement was the role-physical scale, which increased from 25 to 100 (Fig. 3).
Regarding the evaluation using the HADS, 3 patients were found to have symptoms of depression (3.5%) and 7 had symptoms of anxiety (8.2%).

Association with DLCO impairment

Table 3 presents the follow-up parameters and their relation with altered DLCO at 3, 6, 12 months. At 12 months, emphysema on CT scan was significantly associated with altered DLCO. Walked distance < theoretical distance (%) on the 6MWT was associated with altered DLCO at 3 and 6 months. No association was found between patient-reported outcomes and DLCO alteration (Table 3). For 6 of the 8 patients with an alteration of their DLCO, we concluded they had emphysema, which presumably existed before SARS-CoV-2. For one patient, after checking previous CT scans, we concluded that there had been a flare of pre-existing undiagnosed interstitial lung disease concurrent with the SARS-CoV-2 infection. For the last patient, there was persistent interstitial lung disease at 12 months, but the patient had no CT scans dating from before SARS-Cov-2 that could be used for comparison.
Table 3
Follow-up parameters associated with DLCO alteration at 3 and 12 months
 
3 months
12 months
 
Normal DLCO
N = 49
Altered DLCO
N = 36
p-value
Normal DLCO
N = 65
Altered DLCO
N = 8
p-value
6MWT
      
 Number evaluated
46 (93.9%)
33 (91.7%)
0.6948
59 (90.8%)
7 (87.5%)
0.5727
 Walked distance (m)
510 (450–570)
443 (370–525)
0.0199
540 (500–612)
545 (420–590)
0.4620
 Walked distance < theoretical distance (%)
23 (50.0%)
27 (81.8%)
0.0038
15 (25.4%)
3 (42.9%)
0.3800
Hospital Anxiety and Depression Scale
      
 Anxiety ≥ 11
6 (12.2%)
1 (2.8%)
0.2302
7 (10.8%)
0 (0.0%)
1
 Depression ≥ 11
2 (4.1%)
1 (2.8%)
1
3 (4.6%)
0 (0.0%)
1
MOS-SF36
      
 Physical functioning
80 (60–90)
65 (27.5–85)
0.0651
75 (65–90)
72.5 (60–82.5)
0.4695
 Role-physical
50 (0–100)
25 (0–87.5)
0.3489
100 (25–100)
75 (0–100)
0.3428
 Bodily pain
62 (42–84)
72 (50.5–84)
0.6144
62 (41–84)
63 (57–87)
0.5058
 Mental health
80 (60–92)
76 (64–90)
0.6822
76 (60–88)
86 (74–90)
0.3928
 Role-emotional
66.7 (0–100)
100 (0–100)
0.3206
100 (33.3–100)
83.3 (33.3–100)
0.9074
 Social functioning
75 (50–100)
68.8 (43.8–100)
0.5403
75 (50–100)
87.5 (81.3–100)
0.2072
 Vitality
55 (45–70)
55 (47.5–72)
1
60 (45–75)
57.5 (52.5–72.5)
0.8253
 General health
67 (57.82)
63.5 (54.5–72)
0.3808
67 (52–82)
58.5 (52–67)
0.5428
CT scan
      
 Missing data
5
0
 
9
0
 
 Abnormal scan
41 (93.2%)
36 (100%)
0.2481
56 (88.9%)
8 (100%)
1
  Reticulations
37 (90.2%)
32 (88.9%)
0.8458
52 (92.9%)
6 (75.0%)
0.5928
  Traction bronchiectasis
22 (53.7%)
31 (86.1%)
0.0029
38 (73.1%)
6 (75.0%)
1
  Honeycombing
2 (4.9%)
4 (11.1%)
0.4099
3 (5.8%)
0 (0.0%)
1
  Ground-glass opacity
29 (70.7%)
27 (75.0%)
0.6748
30 (57.7%)
2 (25.0%)
0.1300
  Emphysema
4 (9.8%)
10 (27.8%)
0.0408
6 (11.5%)
6 (75.0%)
0.0004
Values are presented as medians (interquartile ranges) or number of patients (percentages)
6MWT  six-minute-walk test, MOS-SF36  medical outcomes study short form 36-item questionnaire, CT scan  computerized tomography scan

Risk factors associated with impaired DLCO

Univariate analysis identified three factors that were significantly associated with impaired DLCO at 3 months, namely length of stay in ICU (days), creatininemia and obesity. No risk factor for altered DLCO at 6 and 12 months was identified (Tables 4, 5).
Table 4
Baseline characteristics associated with DLCO alteration at 3, 6 and 12 months
 
3 months
6 months
12 months
 
Normal DLCO
N = 49
Altered DLCO
N = 36
p-value
Normal DLCO
N = 66
Altered DLCO
N = 12
p-value
Normal DLCO
N = 65
Altered DLCO
N = 8
p-value
Age, years
67.3 (59.7–73.3)
68.8 (62.4–72.8)
0.5440
68.6 (60.1–73.3)
67.8 (63.3–71.2)
0.6689
68.7 (60.1–72.9)
66.2 (59.4–71.4)
0.8534
Male
35 (71.4%)
32 (88.9%)
0.0516
49 (74.2%)
12 (100%)
0.0589
50 (76.9%)
7 (87.5%)
0.6760
Length of hospitalization (days)
39 (20–52)
53 (24–80)
0.0313
44 (20–61)
58.5 (24–102)
0.2227
45 (20–65)
60 (54–102)
0.1529
Intensive care unit
         
 Obesity
         
  Missing data
2
0
 
2
0
 
2
0
 
  BMI < 25
4 (8.5%)
10 (27.8%)
0.0104
11 (17.2%)
3 (25.0%)
0.6590
11 (17.5%)
2 (25.0%)
0.3387
  BMI ≥ 25—< 30
21 (44.7%)
19 (52.8%)
 
28 (43.8%)
6 (50.0%)
 
28 (44.4%)
5 (62.5%)
 
  BMI ≥ 30
22 (46.8%)
7 (19.4%)
 
25 (39.1%)
3 (25.0%)
 
24 (38.1%)
1 (12.5%)
 
 Length of stay in ICU (days)
16.5 (11–22)
19.5 (11–37.5)
0.1016
17 (11–23)
32 (13.5–39)
0.0274
17.5 (11–24)
34 (12.5–39)
0.8534
 Creatinemia
81.6 (68.7–98)
113.3 (84.7–163.8)
0.0005
84.8 (70.4–113)
125.5 (93.6–163.8)
0.0052
88 (71–116.4)
110 (84.6–147.6)
0.1400
 CRP
184.1 (128–259)
193.5 (124.9–276)
0.7329
185.6 (128–270.7)
174.5 (108.5–244.1)
0.4864
189 (121.2–270.7)
143.4 (112.6–193.5)
0.3391
 Score SOFA
3 (2–6)
3 (2–6)
0.8614
3 (2–5)
3 (2–6)
0.8464
3 (2–6)
2.5 (2–5.5)
0.6985
 Neuromuscular blocking agents
40 (83.3%)
31 (86.1%)
0.7276
57 (87.7%)
10 (83.3%)
0.6503
58 (90.6%)
6 (75.0%)
0.2150
 Prone position
35 (72.9%)
27 (75.0%)
0.8298
48 (73.8%)
10 (83.3%)
0.7192
51 (79.7%)
6 (75.0%)
0.6687
 Corticosteroids
17 (34.7%)
19 (52.8%)
0.0955
25 (37.9%)
7 (58.3%)
0.2145
28 (43.1%)
6 (75%)
0.1346
 Non-invasive ventilation support
3 (6.1%)
9 (25.0%)
0.0135
6 (9.1%)
5 (41.7%)
0.0104
7 (10.8%)
3 (37.5%)
0.0728
 PaO2/FiO2 (at Day 0 of ICU)
137.5 (108.8–197.7)
157.5 (118.9–216.2)
0.5292
140 (111.4–206.9)
154.5 (85.5–225)
0.9684
153 (111.4–208.4)
166 (105.4–202.5)
0.8570
Values are presented as medians (interquartile ranges) or number of patients (percentages)
DLCO  diffusing capacity of the lung for carbon monoxide, BMI body mass index, CRP  C-reactive protein, SOFA  Sequential Organ Failure Assessment, PaO2/FiO2  partial pressure of oxygen/fraction of inspired oxygen, ICU  intensive care unit
Table 5
Predictive factors for altered DLCO at 3 months
 
Univariate analysis
Multivariate analysis
 
OR (95%CI)
p-value
OR (95%CI)
p-value
Intensive care unit
Length of stay in ICU(days)
4.998 (1.694–14.747)
0.0036
7.707 (2.163–27.645)
0.0016
Obesity
 
0.0153
 
0.0086
 BMI < 25
1
 
1
 
 BMI ≥ 25—< 30
0.362 (0.0097–1.348)
 
0.188 (0.043–0.816)
 
 BMI ≥ 30
0.127 (0.0030–0.536)
 
0.068 (0.012–0.377)
 
Creatinemia >  = 92.8
5.000 (1.973–12.669)
0.0007
4.305 (1.461–12.683)
0.0081
OR  odds ratio, CI  confidence interval, BMI  body mass index

Discussion

In this study, we report the results of a longitudinal evaluation of 85 patients admitted to the ICU for SARS-CoV-2, with a follow-up of one year. To the best of our knowledge, no reports have described such a large European cohort of SARS-CoV-2 survivors after ICU, with systematic comprehensive evaluation including lung function testing, 6MWT, incremental CPET, thoracic CT-Scan, polygraphy and HRQoL, with an excellent compliance of 86% at 1 year. A strength of our study is the complete longitudinal follow-up with repeated measures, making it possible to qualify the recovery of our patients as a function of time.
The most interesting findings were that only 8 patients (11%) having persistent impairment of DLCO at 1 year. Among these 8 patients, due to pre-existing, undiagnosed respiratory comorbidities in 7 patients, only 1 patient was likely to actually have COVID-19-related DLCO alteration at 1 year. The proportion of patients with abnormal DLCO in our study is lower than that reported by Wu et al., which was 32.5% [7]. This might be explained by the use of different reference values compared than in Wu’s cohort who used the American Thoracic Society guidelines of 1994 [14]. Compared with their DLCO reference values for adults, the most recent GLI DLCO reference values are notably lower [15]. Another explanation for this difference may consist in the fact that none of the patient in Wu’s cohort have received mechanical ventilation likewise in the cohort of Huang (< 1%) [7, 16]. This may be a message in favor of the implementation of lung protective ventilation in COVID-19 related ARDS. Compared to the population with all-cause ARDS followed by Herridge et al., in whom 3-month DLCO was 63% of predicted (IQR: 54–77) [2], respiratory function recovered more quickly in our cohort of patients with severe SARS-CoV-2.
Although the 6MWT showed significant recovery between 3 and 12 months in most patients, the walked distance remained below the predicted distance in 18 patients (27.3%), and 37.9% of patients had a drop of 4% or more in SpO2 at 12 months. Our results are concordant with the cohort of Wu et al. who reported around 14% of patients with 6MWT distance below the predicted value.
SARS-Cov-2 infection may have caused myopathic changes, also represented by the MIP (% of pred) or MEP (% of pred), which showed a constant improvement over the 12 months of follow-up [17].
Creatinine increased at the time of ICU hospitalization was shown as a predictive of low DLCO in the cohort follow-up. The association between creatinine and DLCO can be explained by the high prevalence of thromboembolic events. Reinforcing this hypothesis, the median level of D-dimers was high at the time of hospitalization with a frequency of pulmonary embolisms of 24%. We believe that these patients may have abnormal tiny blood vessels or microthrombus formation, which can be implicated in the reduction of DLCO over time or kidney injury. Other studies have demonstrated a higher rate of thromboembolic events in survivors of COVID-19 at 6 months follow-up, raising the question of the number of undiagnosed cases of segmental or subsegmental pulmonary embolism [18, 19]. The endothelial inflammation classically described in COVID-19 remains a good hypothesis for the increased incidence of pulmonary embolism, and potentially the leading cause of the persistent reduction in DLCO and kidney function over time with a specific increase in D-dimer levels [20]. In our study, D-dimer at the time of hospitalization was not showed to be correlated with KCO measurement at 3 months. Thus, other hypotheses can be put forward on the initial reduction of DLCO with normal KCO apart from microthrombus formation. Considering the number of patients with a history of chronic lung disease and obesity in our cohort, a re-distribution of the regional ventilation/perfusion ratio might have partially compensated the gas transfer efficiency, maintaining satisfactory KCO levels in some patients. Moreover, KCO may have been overestimated due to a functional restrictive pattern [21] that may have masked the possible persistence of damage to the vascular component [22].
At the 12-month CT scan, reticulations were observed in 86% of patients, traction bronchiectasis in 72% and ground glass opacities in 53%. These abnormalities were not significantly associated with DLCO alteration because they only concerned a small percentage of the lung area (< 25%) in most patients. Wu et al. reported abnormal chest imaging in 24% of patients, including interstitial thickening in 5% and reticular opacity in 4%. This higher proportion of persistent CT abnormalities at 1 year could be explained by the greater severity of our patients (85.2% of patients intubated in our cohort vs none in the series by Wu et al.).
Our analyses showed a slight-to-moderate deterioration in HRQoL in all domains except for the role-emotional domain. The most altered domains were vitality and role-physical, with a median score of 55 for vitality at 3 months. The only domain that improved over time was the role-physical domain. In an observational cohort by Vlake et al., 118 COVID-19 ICU survivors were evaluated using the same questionnaire [23]. These authors observed that mental HRQOL increased between 6 weeks and 3 months, and remained stable thereafter. Only the role-physical domain improved constantly over time, as in our cohort. A possible explanation might be that for all components except for the physical domain, improvements occur before 3 months, with a ceiling effect already reached by the time the study questionnaires were administered [24]. Compared to the population with all-cause ARDS followed by Herridge et al., HRQoL increased over time for each domain, and particularly the role physical domain, as in our cohort. At the 3-month evaluation, HRQoL scores were lower in the cohort of all-cause ARDS followed by Herridge et al. [2]. These results suggest, as in the paper by Vlake et al. comparing HRQOL results with those of a historical non-COVID-19 post-ICU population, that HRQOL is less deteriorated after an ICU stay for SARS-COV2 than after other causes of ARDS. When we investigated the relation between HRQoL and objective parameters, such as the 6MWT or CT scan findings, there were no significant relations, suggesting a discrepancy between the patient's perception and the functional parameters measured in our study. At 3 months, among the 50 patients (63.3%) who had walk distances below their age-adjusted predicted values, the median (min–max) score in the vitality domain was 55 (5–100), which was the same score as in patients with no alteration on the 6MWT. Vaes et al. reported survey results of post-discharge SARS-CoV-2 patients and they showed significant improvements in work productivity and functional status, although a proportion of patients had persistent symptom, moderate-to-poor health and impaired quality of life, as in our data [25]. No explanation was given for the persistence of an alteration in these domains, and some authors have characterized these patients with the term "long COVID" [26].
The last point to highlight from our cohort is that there were few indicators of psychological disorders, such as depression or anxiety, according to the self-reported HADS score. Using the HADS score at 3 months after hospital discharge, the results reported by Vlake et al. in their cohort of 118 post-ICU patients showed a higher frequency of depression and anxiety [23]. However, in our study, patients had early psychological follow-up and were encouraged to use new technologies to interact with their loved ones, as suggested by Kennedy et al. [27]. It has been reported that survivors of infectious diseases, such as SARS-CoV-2, are exposed to psychological risk, due to contagiousness, extensive isolation measures and public fear of the disease [28]. PTSD would have been interesting to evaluate. Indeed, in the cohort by Vlake et al., 23% of the 57 patients who responded to the IES-R questionnaire had psychological distress, including probable posttraumatic stress disorder (PTSD) in 7% of cases at 6 weeks after hospital discharge.
Our prospective study has some limitations. The severity of the epidemic and the significant mobilization of medical teams made it impossible to consider the constitution of a multicenter cohort at such short notice. Furthermore, some practices have changed based on the lessons learned from the epidemic. For example, the role of dexamethasone in hospitalized patients with COVID-19 has been established [29]. No effects of steroid use, ventilation supports, neuromuscular blocking agents, or prone position on DLCO could be demonstrated but this may be due to the too small size of our cohort. It is recommended to perform contrast-enhanced chest CT scan. Another potential bias is the lack of data regarding the patients’ respiratory function or existence of possible obstructive sleep apnea before contracting SARS-CoV-2. To minimize this potential bias, patients known to have chronic respiratory insufficiency, those on long-term oxygen therapy or those followed for interstitial lung disease were excluded from the cohort.

Conclusion

In this large cohort of ICU survivors of SARS-CoV-2 infection, systematic multidimensional evaluation up to one year after symptom onset showed that most patients had an improvement in DLCO at 3, 6, and 12 months, and patients who normalized their DLCO did not subsequently deteriorate.

Declarations

Written consent was obtained before the first visit at 3 months and the protocol was approved by the ethics committee (Comité de Protection des Personnes (CPP) Grand-Est) on 21/04/2020. The COV-RECUP study was performed in accordance with the Declaration of Helsinki and Good Clinical Practice guidelines (Clinical trial registration number: NCT04519320).
Not applicable.

Competing interests

The authors declare no competing interests.
Open AccessThis 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/​.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
2.
Zurück zum Zitat Herridge MS, Cheung AM, Tansey CM, et al. One-year outcomes in survivors of the acute respiratory distress syndrome. N Engl J Med. 2003;348(8):683–93.CrossRef Herridge MS, Cheung AM, Tansey CM, et al. One-year outcomes in survivors of the acute respiratory distress syndrome. N Engl J Med. 2003;348(8):683–93.CrossRef
3.
Zurück zum Zitat Rousseau AF, Minguet P, Colson C, et al. Post-intensive care syndrome after a critical COVID-19: cohort study from a Belgian follow-up clinic. Ann Intensive Care. 2021;11:118.CrossRef Rousseau AF, Minguet P, Colson C, et al. Post-intensive care syndrome after a critical COVID-19: cohort study from a Belgian follow-up clinic. Ann Intensive Care. 2021;11:118.CrossRef
4.
Zurück zum Zitat Huang C, Huang L, Wang Y, Li X, Ren L, et al. 6-month consequences of COVID-19 in patients discharged from hospital: a cohort study. Lancet. 2021;397(10270):220–32.CrossRef Huang C, Huang L, Wang Y, Li X, Ren L, et al. 6-month consequences of COVID-19 in patients discharged from hospital: a cohort study. Lancet. 2021;397(10270):220–32.CrossRef
5.
Zurück zum Zitat Zhang P, Li J, Liu H, et al. Long-term bone and lung consequences associated with hospital-acquired severe acute respiratory syndrome: a 15-year follow-up from a prospective cohort study. Bone Res. 2020;8:8.CrossRef Zhang P, Li J, Liu H, et al. Long-term bone and lung consequences associated with hospital-acquired severe acute respiratory syndrome: a 15-year follow-up from a prospective cohort study. Bone Res. 2020;8:8.CrossRef
6.
Zurück zum Zitat Chen J, Wu J, Hao S, et al. Long term outcomes in survivors of epidemic Influenza A (H7N9) virus infection. Sci Rep. 2017;7:17275.CrossRef Chen J, Wu J, Hao S, et al. Long term outcomes in survivors of epidemic Influenza A (H7N9) virus infection. Sci Rep. 2017;7:17275.CrossRef
10.
Zurück zum Zitat Quanjer PH, Hall GL, Stanojevic S, et al. Age-and height-based prediction bias in spirometry reference equations. Eur Respir J. 2012;40(1):190–7.CrossRef Quanjer PH, Hall GL, Stanojevic S, et al. Age-and height-based prediction bias in spirometry reference equations. Eur Respir J. 2012;40(1):190–7.CrossRef
11.
Zurück zum Zitat Fitting JW, Héritier F, Uldry C. Evaluation of the inspiratory muscle strength using the nasal pressure of the sniff. Rev Mal Respir. 1996;5:479–84. Fitting JW, Héritier F, Uldry C. Evaluation of the inspiratory muscle strength using the nasal pressure of the sniff. Rev Mal Respir. 1996;5:479–84.
12.
Zurück zum Zitat McHorney CA, Ware JE Jr, Lu JFR, Sherbourne CD. The MOS 36-item Short-Form Health Survey (SF-36). III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups. Med Care. 1994;32:40–66.CrossRef McHorney CA, Ware JE Jr, Lu JFR, Sherbourne CD. The MOS 36-item Short-Form Health Survey (SF-36). III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups. Med Care. 1994;32:40–66.CrossRef
13.
Zurück zum Zitat Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67:361–70.CrossRef Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67:361–70.CrossRef
14.
Zurück zum Zitat Graham BL, Steenbruggen I, Miller MR, et al. Standardization of spirometry 2019 update. An official American Thoracic Society and European Respiratory Society Technical Statement. Am J Respir Crit Care Med. 2019;200:e70-88.CrossRef Graham BL, Steenbruggen I, Miller MR, et al. Standardization of spirometry 2019 update. An official American Thoracic Society and European Respiratory Society Technical Statement. Am J Respir Crit Care Med. 2019;200:e70-88.CrossRef
15.
Zurück zum Zitat Wardyn PM, de Broucker V, Chenivesse C, et al. Assessing the applicability of the new Global Lung Function Initiative reference values for the diffusing capacity of the lung for carbon monoxide in a large population set. PLoS ONE. 2021;16(1): e0245434.CrossRef Wardyn PM, de Broucker V, Chenivesse C, et al. Assessing the applicability of the new Global Lung Function Initiative reference values for the diffusing capacity of the lung for carbon monoxide in a large population set. PLoS ONE. 2021;16(1): e0245434.CrossRef
16.
Zurück zum Zitat Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395(10223):497–506.CrossRef Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395(10223):497–506.CrossRef
17.
Zurück zum Zitat Islam MF, Cotler J, Jason LA. Post-viral fatigue and COVID-19: lessons from past epidemics. Fatigue Biomed Health Behav. 2020;8(2):61–9.CrossRef Islam MF, Cotler J, Jason LA. Post-viral fatigue and COVID-19: lessons from past epidemics. Fatigue Biomed Health Behav. 2020;8(2):61–9.CrossRef
18.
Zurück zum Zitat Al-Aly Z, Xie Y, Bowe B. High-dimensional characterization of post-acute sequelae of COVID-19. Nature. 2021;594(7862):259–64.CrossRef Al-Aly Z, Xie Y, Bowe B. High-dimensional characterization of post-acute sequelae of COVID-19. Nature. 2021;594(7862):259–64.CrossRef
19.
Zurück zum Zitat Grillet F, Behr J, Calame P, Aubry S, Delabrousse E. Acute pulmonary embolism associated with COVID-19 pneumonia detected with pulmonary CT angiography. Radiology. 2020;296(3):E186–8.CrossRef Grillet F, Behr J, Calame P, Aubry S, Delabrousse E. Acute pulmonary embolism associated with COVID-19 pneumonia detected with pulmonary CT angiography. Radiology. 2020;296(3):E186–8.CrossRef
20.
Zurück zum Zitat Radermecker C, Detrembleur N, Guiot J, Cavalier E, et al. Neutrophil extracellular traps infiltrate the lung airway, interstitial, and vascular compartments in severe COVID-19. J Exp Med. 2020;217(12): e20201012.CrossRef Radermecker C, Detrembleur N, Guiot J, Cavalier E, et al. Neutrophil extracellular traps infiltrate the lung airway, interstitial, and vascular compartments in severe COVID-19. J Exp Med. 2020;217(12): e20201012.CrossRef
21.
Zurück zum Zitat Johnson DC. Importance of adjusting carbon monoxide diffusing capacity (DLCO) and carbon monoxide transfer coefficient (K CO) for alveolar volume. Respir Med. 2000;94(1):28–37.CrossRef Johnson DC. Importance of adjusting carbon monoxide diffusing capacity (DLCO) and carbon monoxide transfer coefficient (K CO) for alveolar volume. Respir Med. 2000;94(1):28–37.CrossRef
22.
Zurück zum Zitat Zhao YM, Shang YM, Song WB, et al. Follow-up study of the pulmonary function and related physiological characteristics of COVID-19 survivors three months after recovery. EClinicalMedicine. 2020;25: e100463.CrossRef Zhao YM, Shang YM, Song WB, et al. Follow-up study of the pulmonary function and related physiological characteristics of COVID-19 survivors three months after recovery. EClinicalMedicine. 2020;25: e100463.CrossRef
24.
Zurück zum Zitat Fayers PM, Machin D. Quality of life: the assessment, analysis and reporting of patient-reported outcomes. New Jersey: Wiley; 2015.CrossRef Fayers PM, Machin D. Quality of life: the assessment, analysis and reporting of patient-reported outcomes. New Jersey: Wiley; 2015.CrossRef
26.
Zurück zum Zitat Sudre CH, Murray B, Varsavsky T, et al. Attributes and predictors of long COVID. Nat Med. 2021;27(4):626–31.CrossRef Sudre CH, Murray B, Varsavsky T, et al. Attributes and predictors of long COVID. Nat Med. 2021;27(4):626–31.CrossRef
28.
Zurück zum Zitat Lettinga KD, Nieuwkerk PT, Jonkers RE. Health-related quality of life and post-traumatic stress disorder among survivors of an outbreak of Legionnaires disease. Clin Infect Dis. 2002;35:11–7.CrossRef Lettinga KD, Nieuwkerk PT, Jonkers RE. Health-related quality of life and post-traumatic stress disorder among survivors of an outbreak of Legionnaires disease. Clin Infect Dis. 2002;35:11–7.CrossRef
29.
Zurück zum Zitat Matthay MA, Thompson BT. Dexamethasone in hospitalised patients with COVID-19: addressing uncertainties. Lancet Respir Med. 2020;8:1170–2.CrossRef Matthay MA, Thompson BT. Dexamethasone in hospitalised patients with COVID-19: addressing uncertainties. Lancet Respir Med. 2020;8:1170–2.CrossRef
Metadaten
Titel
Result of one-year, prospective follow-up of intensive care unit survivors after SARS-CoV-2 pneumonia
verfasst von
Guillaume Eberst
Fréderic Claudé
Lucie Laurent
Aurelia Meurisse
Pauline Roux-Claudé
Cindy Barnig
Dewi Vernerey
Sophie Paget-Bailly
Kevin Bouiller
Catherine Chirouze
Julien Behr
Franck Grillet
Ophélie Ritter
Sinan Karaer
Sébastien Pili-Floury
Hadrien Winiszewski
Emmanuel Samain
Pierre Decavel
Gilles Capellier
Virginie Westeel
Publikationsdatum
01.12.2022
Verlag
Springer International Publishing
Erschienen in
Annals of Intensive Care / Ausgabe 1/2022
Elektronische ISSN: 2110-5820
DOI
https://doi.org/10.1186/s13613-022-00997-8

Weitere Artikel der Ausgabe 1/2022

Annals of Intensive Care 1/2022 Zur Ausgabe

Blutdrucksenkung schon im Rettungswagen bei akutem Schlaganfall?

31.05.2024 Apoplex Nachrichten

Der optimale Ansatz für die Blutdruckkontrolle bei Patientinnen und Patienten mit akutem Schlaganfall ist noch nicht gefunden. Ob sich eine frühzeitige Therapie der Hypertonie noch während des Transports in die Klinik lohnt, hat jetzt eine Studie aus China untersucht.

Ähnliche Überlebensraten nach Reanimation während des Transports bzw. vor Ort

29.05.2024 Reanimation im Kindesalter Nachrichten

Laut einer Studie aus den USA und Kanada scheint es bei der Reanimation von Kindern außerhalb einer Klinik keinen Unterschied für das Überleben zu machen, ob die Wiederbelebungsmaßnahmen während des Transports in die Klinik stattfinden oder vor Ort ausgeführt werden. Jedoch gibt es dabei einige Einschränkungen und eine wichtige Ausnahme.

Nicht Creutzfeldt Jakob, sondern Abführtee-Vergiftung

29.05.2024 Hyponatriämie Nachrichten

Eine ältere Frau trinkt regelmäßig Sennesblättertee gegen ihre Verstopfung. Der scheint plötzlich gut zu wirken. Auf Durchfall und Erbrechen folgt allerdings eine Hyponatriämie. Nach deren Korrektur kommt es plötzlich zu progredienten Kognitions- und Verhaltensstörungen.

Häusliche Gewalt in der orthopädischen Notaufnahme oft nicht erkannt

28.05.2024 Häusliche Gewalt Nachrichten

In der Notaufnahme wird die Chance, Opfer von häuslicher Gewalt zu identifizieren, von Orthopäden und Orthopädinnen offenbar zu wenig genutzt. Darauf deuten die Ergebnisse einer Fragebogenstudie an der Sahlgrenska-Universität in Schweden hin.

Update AINS

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.