Abstract
Objectives
Coronavirus disease 2019 (COVID-19) results in severe inflammation at the acute stage. Chronic neuroinflammation and abnormal immunological response have been suggested to be the contributors to neuro-long-COVID, but direct evidence has been scarce. This study aims to determine the integrity of the blood-brain barrier (BBB) in COVID-19 intensive care unit (ICU) survivors using a novel MRI technique.
Methods
COVID-19 ICU survivors (n=7) and age and sex-matched control participants (n=17) were recruited from June 2021 to March 2023. None of the control participants were hospitalized due to COVID-19 infection. The COVID-19 ICU survivors were studied at 98.6 ± 14.9 days after their discharge from ICU. A non-invasive MRI technique was used to assess the BBB permeability to water molecules, in terms of permeability surface area-product (PS) in the units of mL/100 g/min.
Results
PS was significantly higher in COVID-19 ICU survivors (p=0.038) when compared to the controls, with values of 153.1 ± 20.9 mL/100 g/min and 132.5 ± 20.7 mL/100 g/min, respectively. In contrast, there were no significant differences in whole-brain cerebral blood flow (p=0.649) or brain volume (p=0.471) between the groups.
Conclusions
There is preliminary evidence of a chronic BBB breakdown in COVID-19 survivors who had a severe acute infection, suggesting a plausible contributor to neurological long-COVID symptoms.
Keywords: blood-brain barrier, COVID-19, MRI, permeability, WEPCAST
Introduction
Coronavirus disease 2019 (COVID-19) induced by severe acute respiratory syndrome coronavirus (SARS-CoV-2) has caused an unprecedented health crisis [1]. Despite the present successful control of COVID-19 in the acute phase, the long-term sequelae of COVID-19, including those on the brain and neuropsychiatric, remain a major medical burden [2]. Prior studies reported that severe COVID-19 infection resulted in prevalent neurologic symptoms and long-term neurocognitive deficits including brain fog [3, 4], cognitive decline [5], and psychiatric symptoms [6]. However, the underlying pathophysiological mechanisms of these symptoms are still poorly understood [7].
Inflammation is thought to be one major contributor to brain abnormalities in severe COVID-19 [8, 9]. Prior studies have revealed that increased pro-inflammatory cytokines such as interleukin-10 (IL-10), granulocyte colony-stimulating factor (GCSF), and tumor necrosis factor (TNFα) were observed in intensive care unit (ICU) patients compared with non-ICU patients [10]. Serum cytokines induced by systemic inflammation can impact blood-brain barrier (BBB) function and promote BBB disruption. At a chronic phase, it has also been reported that proteins related to neuroinflammation such as matrix metalloproteinase 9 (MMP-9) and glial fibrillary acidic protein (GFAP) were elevated in patients with neurological symptoms [11]. It is therefore plausible that BBB breakdown is a long-lasting pathophysiological alteration that will persist beyond the acute phase of COVID-19. However, to date, BBB assessment in COVID-19 patients has been limited, part of which is due to the scarcity of tools to probe BBB function in humans [12, 13].
A novel magnetic resonance imaging (MRI) technique, referred to as water-extraction-with-phase-contrast-arterial-spin-tagging (WEPCAST) MRI, was developed to non-invasively measure BBB permeability to water, without requiring exogenous (gadolinium) contrast agents [14, 15]. The goal of the present study was therefore to use WEPCAST MRI to assess BBB integrity in COVID-19 patients at a chronic phase. We note that patients who underwent ICU hospitalization are most likely to have experienced severe cytokine storm thereby suffering from long-lasting BBB damage. Therefore, in this pilot study, we recruited a group of COVID-19 ICU survivors approximately 3 months after their discharge from the ICU and compared them to a group of age and sex-matched control participants without any history of hospitalization due to COVID-19.
Results
The demographic characteristics of COVID-19 ICU survivors and age and sex-matched healthy controls are shown in Table 1. For COVID-19 ICU survivors, the average time from symptom onset to ICU admission was 2.9 ± 3.2 days, with a duration of 20.0 ± 18.2 days in ICU after infection. Two of the patients were intubated and four of them underwent ventilator support during hospitalization.
Table 1:
Demographic information of COVID-19 ICU survivors and controls (mean ± SD).
| Characteristic | COVID-19 ICU survivors (n=7) | Controls (n=17) | p-Value |
|---|---|---|---|
| Age, years | 47.0 ± 23.5 | 46.7 ± 22.5 | 0.900a |
| Female, n, % | 4 (57 %) | 11 (65 %) | 0.728b |
| Time from symptom onset to ICU admission, days | 2.9 ± 3.2 | – | – |
| Intubation, n, % | 2 (29 %) | – | – |
| Ventilator support, n, % | 4 (57 %) | – | – |
| Duration in ICU, days | 20.0 ± 18.2 | – | – |
| Time from ICU discharge to MRI examination, days | 98.6 ± 14.9 | – | – |
aWilcoxon signed-rank test, bChi-square test.
Figure 1a shows the typical mid-sagittal imaging plane and labeling position of WEPCAST MRI. Figure 1b shows representative WEPCAST images in a COVID-19 ICU survivor (72 years, M) and a control participant (72 years, F). We also measured whole-brain cerebral blood flow (CBF) using phase-contrast (PC) MRI. Figure 1c shows the position of the PC scans based on the MR angiography, as well as representative velocity maps in internal carotid and vertebral arteries.
Figure 1:
MRI technique used for the assessment of BBB permeability to water. (a) Typical imaging (blue box) and labeling position (orange box) of WEPCAST MRI. SSS, superior sagittal sinus. (b) Representative WEPCAST images of a COVID-19 ICU survivor (72 years, M) and a control subject (72 years, F). (c) Typical imaging positions for the phase contrast (PC) MRI based on the maximum intensity projection of the MR angiography. Global cerebral blood flow (CBF) was measured from the four feeding arteries, i.e., left/right internal carotid arteries (ICA) and left/right vertebral arteries (VA). The corresponding velocity maps of the four arteries are shown at the corners. Participants: 7 COVID-19 ICU survivors (47.0 ± 23.5 years, 3 M/4F, duration of ICU stay=20.0 ± 18.2 days) and 17 age- and sex-matched healthy controls (46.7 ± 22.5 years, 6M/11F) were recruited from June 2021 to March 2023. The COVID-19 ICU survivors were recruited by an intensive care physician (S.C.). The controls were recruited using flyers placed on campus and in the community. Ten of the control participants were scanned between June 2021 and August 2021, and they most likely have never had COVID-19 infection. The other seven of the controls were scanned between April 2022 and March 2023, and some of them may have had COVID-19 infection. None of the control participants have been hospitalized due to COVID-19 infection. All participants provided written informed consent approved by Johns Hopkins University Institutional Review Board. The COVID-19 survivors were scanned at approximately 3 months (98.6 ± 14.9 days) after their discharge from ICU. Experiment: all MRI scans were conducted on a Siemens 3T Prisma scanner (Siemens Healthineers, Erlangen, Germany) with a 32-channel head coil. The WEPCAST MRI technique measures BBB permeability to water by labeling the water molecules in the incoming arteries and, by determining the fraction of the water that remained in the vessel versus those exchanged into the brain tissue at the capillary-tissue interface, one can obtain an estimation of the water extraction fraction (E). The measurement is performed in the major draining vein of the brain, typically the superior sagittal sinus (SSS), yielding a whole-brain measure of E. Additionally, global CBF, f, is obtained by PC velocity MRI and normalized by whole-brain volume as measured by a 1 mm3 isotropic-resolution T1-MPRAGE scan. Finally, the BBB permeability index, referred to as permeability-surface-area product (PS), was calculated from E and f according to the Renkin–Crone model: PS=−ln(1 − E)·f. More technical details can be found somewhere else [14, 15]. Imaging protocol: WEPCAST MRI was performed with the following parameters: TR/TE=9200/9.5 ms, FOV=200 × 200 mm2, voxel size=3.1 × 3.1 × 10 mm3, labeling duration=4000 ms, post-labeling delay=3000 ms, VENC=20 cm/s, GRAPPA=3. PC velocity MRI was performed with the following two protocols: TR=13 (16) ms, TE=8 (10) ms, FOV=200 × 200 mm2, voxel size=0.5 × 0.5 × 5 mm3, flip angle=15°, VENC=60 (40) cm/s.
The results of quantitative comparisons are shown in Figure 2. All variables have been adjusted for age and sex using linear regression. Figure 2a showed that BBB permeability-area-surface product (PS) is significantly higher in COVID-19 ICU survivors when compared to controls (p=0.038). The average values were 153.1 ± 20.9 mL/100 g/min for the COVID-19 ICU survivors and 132.5 ± 20.7 mL/100 g/min for the controls. The whole-brain cerebral blood flow (p=0.649, Figure 2b) and water extraction fraction (E, p=0.518, Figure 2c) were not different between the two participant groups. We also evaluated the brain volume and there was not a significant difference between the groups, in terms of gray matter (p=0.444), white matter (p=0.549), or whole brain volume (p=0.471, Figure 2d).
Figure 2:
Comparison of (a) PS, (b) CBF, (c) E and (d) brain volume between COVID-19 ICU survivors and controls. Each dot represents data from one participant. Note that all variables have been adjusted for age and sex using linear regression. PS, permeability-surface area product; CBF, cerebral blood flow; E, water extraction fraction. Statistical analysis: analysis was conducted using in-house MATLAB scripts (version R2021a, Mathworks, Natick, MA). CBF, E, PS values and brain volume between the COVID-19 ICU survivors and controls were compared using linear regression in which the group assignment was the independent variable, and age and sex were covariates. The association between CBF and E was also evaluated by linear regression. A p-value of less than 0.05 was considered statistically significant.
Since the PS estimation was computed from CBF and E, we also investigated the reason that CBF and showed no group difference but PS did. We found a significant inverse relationship between CBF and E (Figure 3, β=−0.003, p=0.0004), suggesting that CBF and E are inter-related physiological parameters but their combination using the biophysical model (listed in Figure 1 legend) can cancel the physiological noise and allow more accurate assessment of the BBB property, i.e., PS.
Figure 3:

Correlation between CBF and E across individuals. Each dot represents data from one participant, with COVID-19 ICU survivors and controls shown in different colors. β and p-value are the linear regression results. CBF, cerebral blood flow; E, water extraction fraction.
Discussion
In this study, we used a novel WEPCAST MRI technique to measure BBB permeability in COVID-19 ICU survivors. A significantly higher PS value was observed in the COVID-19 ICU survivors when compared to control participants, suggesting a chronic BBB breakdown in severe COVID-19 patients and long-lasting damage and inflammation of COVID-19 to the brain.
BBB is formed by several cellular components in the capillary-tissue interface such as pericytes and tight junctions between the endothelial cells. Its primary role is to protect the brain from neurotoxins and pathogens. Disruption of BBB will result in neuroinflammation and severe neural dysfunction and has been implicated in a number of neurological disorders. Mounting evidence suggested that BBB integrity is impaired due to neuroinflammation associated with SARS-CoV-2 infection in the acute phase [16]. Some studies further suggested that COVID-19 patients have chronically elevated levels of neuroinflammatory factors such as blood GFAP and MMP-9 [11]. However, to date, the chronic effect of severe COVID-19 on brain-specific BBB has not been reported. In this work, we evaluated the BBB integrity using non-invasive MRI and provided imaging-based evidence of neuroinflammation secondary to SARS-CoV-2 infection [17, 18]. It should be noted that this MRI technique does not require exogenous contrast agents and has been assessed across multiple vendors, making it easily scalable for larger studies [15].
Studies in other cognitive and neurological disorders have provided evidence that BBB permeability is related to cognitive function [19]. In Alzheimer’s disease, it has been shown that PS is inversed related to memory and composite cognitive scores and also associated with beta-amyloid and phosphorylated tau concentrations [20]. BBB permeability was also reported to be related to the E4 variant of apolipoprotein E (APOE4) genotype, which is a known risk factor for Alzheimer’s disease [21]. Therefore, it is plausible that disruption of BBB integrity in COVID-19 survivors will cause cognitive dysfunction. Elevated BBB permeability was also observed in sickle cell disease, which is characterized by microvascular damage due to abnormal red blood cells [22]. Thus, the BBB breakdown observed in COVID-19 patients could be due to a combined effect of microvascular and neuropathologic injuries.
It is reported that COVID-19 ICU survivors have an increased risk for long-term cognitive impairments [23]. BBB damage may allow neurotoxins to enter the brain and promote neurodegeneration [24]. Moreover, BBB dysfunction is likely to result in cerebral microbleeds, which were more prevalent in COVID-19 ICU survivors than general ward survivors [25, 26]. Given these plausible pathways, anti-inflammatory pharmacologic approaches and psychotropic medications, e.g., systemic corticosteroids [27], l-arginine [28], curcumin [29], vitamins [30], etc., may be considered to mitigate the long-term symptoms in COVID-19 survivors.
In addition to BBB permeability, this study investigated other brain anatomic and function parameters such as brain volume and CBF. We found that whole-brain volume and CBF were not significantly different between COVID-19 ICU survivors and controls, suggesting that BBB breakdown may be a more sensitive measure of brain dysfunction in neuro-long-COVID, in the absence of apparent anatomic or perfusion abnormalities.
The present study should be viewed as a pilot study given the small sample size of the COVID-19 ICU survivor group. Thus the findings reported in this work are meant to be used to generate hypotheses for further testing. Indeed, we are currently conducting a larger-scale study in long-COVID patients to verify the observations reported here. Since our control participants did not undergo ICU admissions, we cannot distinguish COVID-19 related effects from ICU stress and post-ICU syndrome [31]. Thus future work will include subjects admitted to ICU due to non-COVID diseases.
Conclusions
Using a novel MRI technique, the present study provided preliminary evidence that COVID-19 survivors who have undergone severe infection in the acute phase manifested BBB abnormalities at the chronic stage, suggesting a long-lasting adverse effect of COVID-19 on the brain that may contribute to the cognitive symptoms in long-COVID.
Footnotes
Research ethics: Research involving human subjects complied with all relevant national regulations, institutional policies and is in accordance with the tenets of the Helsinki Declaration (as revised in 2013), and has been approved by the authors' Institutional Review Board (IRB00276578).
Informed consent: Informed consent was obtained from all individuals included in this study.
Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
Competing interests: Authors have no conflict of interest.
Research funding: Funding support by National Institutes of Health, through R01 NS106711, R01 NS106702, R01 AG064792, RF1 AG071515, UF1 NS100588, P41 EB031771.
Data availability: Data are available from the corresponding author on request.
References
- 1.Dong E, Du H, Gardner L. An interactive web-based dashboard to track COVID-19 in real time. Lancet Infect Dis. 2020;20:533–4. doi: 10.1016/s1473-3099(20)30120-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Nalbandian A, Sehgal K, Gupta A, Madhavan MV, McGroder C, Stevens JS, et al. Post-acute COVID-19 syndrome. Nat Med. 2021;27:601–15. doi: 10.1038/s41591-021-01283-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Helms J, Kremer S, Merdji H, Clere-Jehl R, Schenck M, Kummerlen C, et al. Neurologic features in severe SARS-CoV-2 infection. N Engl J Med. 2020;382:2268–70. doi: 10.1056/nejmc2008597. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Hugon J, Msika E-F, Queneau M, Farid K, Paquet C. Long COVID: cognitive complaints (brain fog) and dysfunction of the cingulate cortex. J Neurol. 2022;269:44–6. doi: 10.1007/s00415-021-10655-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Douaud G, Lee S, Alfaro-Almagro F, Arthofer C, Wang C, McCarthy P, et al. SARS-CoV-2 is associated with changes in brain structure in UK Biobank. Nature. 2022;604:697–707. doi: 10.1038/s41586-022-04569-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Premraj L, Kannapadi NV, Briggs J, Seal SM, Battaglini D, Fanning J, et al. Mid and long-term neurological and neuropsychiatric manifestations of post-COVID-19 syndrome: a meta-analysis. J Neurol Sci. 2022;434:120162. doi: 10.1016/j.jns.2022.120162. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Leng A, Shah M, Ahmad SA, Premraj L, Wildi K, Li Bassi G, et al. Pathogenesis underlying neurological manifestations of long COVID syndrome and potential therapeutics. Cells. 2023;12:816. doi: 10.3390/cells12050816. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Yang AC, Kern F, Losada PM, Agam MR, Maat CA, Schmartz GP, et al. Dysregulation of brain and choroid plexus cell types in severe COVID-19. Nature. 2021;595:565–71. doi: 10.1038/s41586-021-03710-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Liang H, Ernst T, Oishi K, Ryan MC, Herskovits E, Cunningham E, et al. Abnormal brain diffusivity in participants with persistent neuropsychiatric symptoms after COVID-19. Neuroimmune Pharmacol Ther. 2023;2:37–48. doi: 10.1515/nipt-2022-0016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Tang D, Comish P, Kang R. The hallmarks of COVID-19 disease. PLoS Pathog. 2020;16:e1008536. doi: 10.1371/journal.ppat.1008536. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Bonetto V, Pasetto L, Lisi I, Carbonara M, Zangari R, Ferrari E, et al. Markers of blood-brain barrier disruption increase early and persistently in COVID-19 patients with neurological manifestations. Front Immunol. 2022;13:1–14. doi: 10.3389/fimmu.2022.1070379. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Shao X, Ma SJ, Casey M, D’Orazio L, Ringman JM, Wang DJJ. Mapping water exchange across the blood–brain barrier using 3D diffusion-prepared arterial spin labeled perfusion MRI. Magn Reson Med. 2019;81:3065–79. doi: 10.1002/mrm.27632. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Hillmer L, Erhardt EB, Caprihan A, Adair JC, Knoefel JE, Prestopnik J, et al. Blood-brain barrier disruption measured by albumin index correlates with inflammatory fluid biomarkers. J Cereb Blood Flow Metab. 2023;43:712–21. doi: 10.1177/0271678x221146127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Lin Z, Li Y, Su P, Mao D, Wei Z, Pillai JJ, et al. Non-contrast MR imaging of blood-brain barrier permeability to water. Magn Reson Med. 2018;80:1507–20. doi: 10.1002/mrm.27141. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Lin Z, Jiang D, Liu D, Li Y, Uh J, Hou X, et al. Noncontrast assessment of blood–brain barrier permeability to water: shorter acquisition, test–retest reproducibility, and comparison with contrast-based method. Magn Reson Med. 2021;86:143–56. doi: 10.1002/mrm.28687. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Erickson MA, Rhea EM, Knopp RC, Banks WA. Interactions of sars-cov-2 with the blood–brain barrier. Int J Mol Sci. 2021;22:1–28. doi: 10.3390/ijms22052681. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Alexopoulos H, Magira E, Bitzogli K, Kafasi N, Vlachoyiannopoulos P, Tzioufas A, et al. Anti-SARS-CoV-2 antibodies in the CSF, blood-brain barrier dysfunction, and neurological outcome: studies in 8 stuporous and comatose patients. Neurol Neuroimmunol Neuroinflamm. 2020;7:4–8. doi: 10.1212/nxi.0000000000000893. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Romero-Sánchez CM, Díaz-Maroto I, Fernández-Díaz E, Sánchez-Larsen Á, Layos-Romero A, García-García J, et al. Neurologic manifestations in hospitalized patients with COVID-19: the ALBACOVID registry. Neurology. 2020;95:E1060–70. doi: 10.1212/wnl.0000000000009937. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Zachariou V, Pappas C, Bauer CE, Shao X, Liu P, Lu H, et al. Regional differences in the link between water exchange rate across the blood–brain barrier and cognitive performance in normal aging. GeroScience. 2023:1–18. doi: 10.1007/s11357-023-00930-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Lin Z, Sur S, Liu P, Li Y, Jiang D, Hou X, et al. Blood–brain barrier breakdown in relationship to Alzheimer and vascular disease. Ann Neurol. 2021;90:227–38. doi: 10.1002/ana.26134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Montagne A, Nation DA, Sagare AP, Barisano G, Sweeney MD, Chakhoyan A, et al. APOE4 leads to blood–brain barrier dysfunction predicting cognitive decline. Nature. 2020;581:71–6. doi: 10.1038/s41586-020-2247-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Lin Z, Lance E, McIntyre T, Li Y, Liu P, Lim C, et al. Imaging blood–brain barrier permeability through MRI in pediatric sickle cell disease: a feasibility study. J Magn Reson Imaging. 2022;55:1551–8. doi: 10.1002/jmri.27965. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Hosey MM, Needham DM. Survivorship after COVID-19 ICUstay. Nat Rev Dis Prim. 2020;6:60. doi: 10.1038/s41572-020-0201-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Hussain B, Fang C, Chang J. Blood–brain barrier breakdown: an emerging biomarker of cognitive impairment in normal aging and dementia. Front Neurosci. 2021;15:688090. doi: 10.3389/fnins.2021.688090. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Klinkhammer S, Horn J, Duits AA, Visser-Meily JMA, Verwijk E, Slooter AJC, et al. Neurological and (neuro)psychological sequelae in intensive care and general ward COVID-19 survivors. Eur J Neurol. 2023;30:1880–90. doi: 10.1111/ene.15812. [DOI] [PubMed] [Google Scholar]
- 26.Wang H, Zhang C, Qiu Y, Chen A, Li Y, Hu B. Dysfunction of the blood-brain barrier in cerebral microbleeds: from bedside to bench. Aging Dis. 2021;12:1898. doi: 10.14336/ad.2021.0514. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Perico N, Cortinovis M, Suter F, Remuzzi G. Home as the new Frontier for the treatment of COVID-19: the case for anti-inflammatory agents. Lancet Infect Dis. 2023;23:e22–33. doi: 10.1016/s1473-3099(22)00433-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Trimarco V, Izzo R, Lombardi A, Coppola A, Fiorentino G, Santulli G. Beneficial effects of L-Arginine in patients hospitalized for COVID-19: new insights from a randomized clinical trial. Pharmacol Res. 2023;191:106702. doi: 10.1016/j.phrs.2023.106702. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Vahedian-Azimi A, Abbasifard M, Rahimi-Bashar F, Guest PC, Majeed M, Mohammadi A, et al. Effectiveness of curcumin on outcomes of hospitalized COVID-19 patients: a systematic review of clinical trials. Nutrients. 2022;14:256. doi: 10.3390/nu14020256. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Pisoschi AM, Pop A, Iordache F, Stanca L, Geicu OI, Bilteanu L, et al. Antioxidant, anti-inflammatory and immunomodulatory roles of vitamins in COVID-19 therapy. Eur J Med Chem. 2022;232:114175. doi: 10.1016/j.ejmech.2022.114175. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Jensen JF, Thomsen T, Overgaard D, Bestle MH, Christensen D, Egerod I. Impact of follow-up consultations for ICU survivors on post-ICU syndrome: a systematic review and meta-analysis. Intensive Care Med. 2015;41:763–75. doi: 10.1007/s00134-015-3689-1. [DOI] [PubMed] [Google Scholar]


