Skip to main content

Incidence and risk factors of peripheral nerve injuries 3 months after ICU discharge: a retrospective study comparing COVID-19 and non-COVID-19 critically ill survivors

Abstract

Background

Peripheral nerve injuries (PNI) have been associated with prone positioning (PP) in mechanically ventilated (MV) patients with COVID-19 pneumonia. The aims of this retrospective study were to describe PNI prevalence 3 months (M3) after intensive care unit (ICU) discharge, whether patients survived COVID-19 or another critical illness, and to search for risk factors of PNI.

Results

A total of 55 COVID (62 [54–69] years) and 22 non-COVID (61.5 [48–71.5] years) patients were followed at M3, after an ICU stay of respectively 15 [9–26.5] and 13.5 [10–19.8] days. PNI symptoms were reported by 23/55 (42.6%) COVID-19 and 8/22 (36%) non-COVID-19 patients (p = 0.798). As the incidence of PNI was similar in both groups, the entire population was used to determine risk factors. The MV duration predicted PNI occurrence (OR (CI95%) = 1.05 (1.01–1.10), p = 0.028), but not the ICU length of stay, glucocorticoids, or inflammation biomarkers.

Conclusion

In the present cohort, PNI symptoms were reported in at least one-third of the ICU survivors, in similar proportion whether patients suffered from severe COVID-19 or not.

Background

Peripheral nerve injury (PNI) refers to damage to nerves located outside of the brain and spinal cord, mainly due to traumatic, ischemic, metabolic, infectious, or autoimmune causes [1]. Critically ill patients may develop PNI especially during prolonged stays in the intensive care unit (ICU) [2,3,4]. Ischemic hypoxemia, cytokines, oxidative stress, and stress hormones are known to induce primary distal axonal degeneration of motor and sensory fibers [5,6,7]. In particular, prolonged mechanical ventilation (MV) and prone positioning (PP) are described as situations at risk of PNI [3]: MV patients are more frequently subject to sepsis and have longer ICU length of stay (LOS) [8]. PNI commonly manifests as persistent pain, either hypo- or dysesthesia in a nerve territory. The diagnosis is mainly based on electrophysiological exams [9].

COVID-19 can lead to acute respiratory distress syndrome (ARDS) requiring ICU admission and MV for long periods [10]. An increasing number of neurological dysfunctions associated with this infection have been reported, such as encephalopathy, encephalitis, Guillain–Barré syndrome, and ischemic strokes [11]. In particular, SARS-CoV 2 could infect directly nerve cells, due to the affinity between the spikes on the viral surface and the angiotensin-converting enzyme 2 (ACE2) receptor [9, 12,13,14,15].

In June 2020, the RECOVERY study concluded to potential benefits of dexamethasone on the mortality of the COVID-19 patients receiving oxygen or mechanical ventilation [16]. Dexamethasone was then worldwide used as an adjuvant treatment for this disease. The role of glucocorticoids on peripheral nerves is controversial: their anti-inflammatory properties [17] could be counterbalanced by induced hyperglycemia [18, 19]. Their effects on PNI occurrence in COVID-19 ARDS survivors are unknown.

Up to now, it is unknown if survivors of critical COVID-19 suffer from PNI to a similar extent than survivors of other types of critical illness. The primary aim of the present retrospective study was to compare the PNI incidence in these two categories of ICU survivors. The second aim was to define the risk factors of PNI in both groups.

Method

Participants

Since 2019, patients surviving an ICU stay ≥ 7 days are routinely invited to our post-intensive care follow-up clinic, at 1, 3, and 12 months following ICU discharge. A multidisciplinary team, including critical care physicians, critical care nurses, physiotherapists, dieticians, and psychologists, is involved at each time. This face-to-face follow-up is standardized, addressing physical status and functional performances, nutritional status and body composition, bone health, mental health disorders, cognitive impairment, sleep disorders, and health-related quality of life (HRQoL). A blood analysis is also performed, focusing on inflammation and metabolic biomarkers.

In this retrospective study, we included all adults who attended the 3-month (M3) consultation at our follow-up clinic after a COVID-19 ARDS during the first wave (from March 1st to July 17th, 2020) and the second wave (from July 18th, 2020 to December 5th, 2020) of the pandemic. We also included patients who survived a non-COVID-19 critical illness between January 27th and July 27th, 2021 (non-COVID group). Patients were excluded from analysis in case of incomplete follow-up.

In accordance with Belgian law, informed consent was not required because the study did not modify patients’ management, and the data were anonymously collected. This interpretation was confirmed by the Ethics Committee of the University Hospital of Liege (local reference 2020/424).

Procedures during COVID-19 pandemic

During the first wave of the pandemic, steroids were not used according to the Belgian public health service recommendations. The use of high-flow nasal oxygen (HNFO) was precocious (maximum flow of 30 L/min) due to the high potential risk of aerosolization. Prone position was performed in case of impaired oxygenation with PaO2/FiO2 ratio < 150 and/or FiO2 > 0.6. The duration of each prone positioning session was 16–18 h. Sessions were repeated at least three times if oxygenation improved. The proning procedure was performed according to the expert’s recommendations [20, 21], aiming at reducing the risk of accidental loss of invasive devices and pressure injuries. After appropriate preparation of the patient and the materials, proning was performed using a 4-step maneuver. The position of the head, arms, and legs was checked every 8 h by the nurses.

During the second wave, dexamethasone at the dose of 6 mg/day for 10 days was used in all patients who required oxygen therapy. The use of HNFO was more liberal (up to 60 L/min), and the criteria for the prone position were the same. Physiotherapists ensured mobilization in all patients with passive and active exercises when possible.

Clinical variables

In all included patients, the same clinical variables were systematically collected during the M3 consultation: occurrence of PNI, level of autonomy for daily activities using the Barthel index, quality of life (QOL) using EQ-5D-3L scale PNI referred to limb weakness, pain, hypoesthesia or paresthesia. PNI incidence was based on clinical manifestation during the consultation with the physician at M3. There was no systematic complementary exam to confirm PNI. However, an electroneuromyography has been prescribed in some of the patients by physicians outside the post-ICU follow-up setting. The Barthel index of activities of daily living (ADL) was used to measure functional status and dependency. It consists of ten subheadings as feeding, bathing, grooming, dressing, bladder control, bowel control, toilet use, chair–bed transfer, mobility, and stair climbing [22]. Scoring ranges from 0 to 100, with a score of 100 defined as being capable of ADL complete self-care. HRQoL was measured using the EQ-5D-3L. This tool comprises two sections: a five-question descriptive component which explores five dimensions: mobility, self-care, usual activities, pain/discomfort, and anxiety/ depression. Each question has three possible answers, rated from 1 to 3: no problems, some problems, and extreme problems. The second section is a visual analog scale (EQ VAS) about HRQoL. Demographic data and data related to the ICU stay were also collected and extracted from the medical charts.

Biological variables

The biological data were generated from one single laboratory (Unilab, CHU de Liège) accredited for ISO 15,189 Guideline. The following variables were collected: serum CRP (turbidimetric method, Alinity C), serum glucose (turbidimetric method, Alinity C), serum creatine kinase (turbidimetric method, Alinity C), glycated hemoglobin (capillary electrophorese, Sebia), and serum creatinine (turbidimetric method, Alinity C). The normal range is 0–5 mg/L for CRP, 70 mg/dL (3.9 mmol/L)–100 mg/dL (5.6 mmol/L) for glucose, < 5.7% for glycated hemoglobin, 0.55–1.02 mg/dL for creatinine in females and 0.55–1.18 mg/dL in males. The glomerular filtration rate (eGFR) was estimated using the MDRD equation during ICU stay and using creatinine-based CKD-EPI equations.

Statistical analysis

Statistical analysis was performed using SAS (version 9.4 for Windows, SAS Institute, Cary, NC, USA) and R (version 4.0.2 for Windows) software.

The normality of the quantitative parameters was investigated using descriptive and graphical techniques (comparison of mean and median values, histogram, and quantile–quantile plot) and tested with the Shapiro–Wilk test. As some quantitative parameters were not normally distributed, results were expressed as medians with lower and upper quartiles (Q1–Q3), while qualitative parameters were summarized using the numbers (n) and frequencies (%).

The quantitative parameters were compared using the non-parametric Kruskal–Wallis test (KW) or ANOVA-1. The qualitative parameters were compared using the chi-squared test or Fisher’s exact test.

Variables that differed significantly between patients with and without PNI in the univariate analysis were included in a multivariate binary logistic regression analysis to identify those that remained independently associated with the occurrence of PNI. The same multivariate regression with a stepwise procedure was also computed. Using the Firth method, we estimated the odds ratios (OR) with 95% confidence interval (95% CI). The results were considered significant at the uncertainty level of α = 5% (p < 0.05).

Results

Patients

A total of 55 COVID patients and 22 non-COVID patients were included (Fig. 1). Their demographic parameters are detailed in Table 1. Demographic parameters did not differ significantly between the two groups. Hypertension or cardiovascular disease was more frequent in the COVID group, while active smoking was more frequent in the non-COVID group.

Fig. 1
figure 1

Flow chart

Table 1 Demographics and ICU data in the COVID and non-COVID groups

PNI symptoms and their impact on the 3-month outcomes

Three months after ICU discharge, PNI symptoms were reported by 23/55 patients (42.6%) in the COVID group and by 8/22 (36%) patients in the non-COVID group (p = 0.798). The localizations of PNI were various, affecting both upper and lower extremities. The median, ulnar, radial, and sciatic nerves were the most frequently affected. An electroneuromyography was performed in 14/23 (60.8%) and in 1/8 (12.5%) patients of respectively the COVID and non-COVID groups. A pattern of axonal peripheric polyneuropathy was found in all these ENMGs.

Patients experiencing PNI symptoms had similar autonomy for ADL and estimated HRQoL compared to patients who did not report PNI symptoms (Table 2).

Table 2 Impact of PNI on 3-month outcomes

PNI risk factors

As the incidence of PNI was similar in both groups, the entire population was used to determine risk factors. Among the recorded parameters, SAPS II, corticosteroids, prone position, insulin infusion duration, and glucose peak were not associated with the PNI occurrence (Table 3). On the contrary, the highest CRP blood concentration during the ICU stay, the duration of mechanical ventilation, and the ICU length of stay were significantly higher in the PNI group (Table 3). These three factors were included in the final multivariate binary logistic regression model. Only the duration of mechanical ventilation predicted PNI occurrence (OR (CI 95%), 1.05 (1.01–1.10, p = 0.028)).

Table 3 Studied clinical parameters in patients reporting PNI symptoms and in patients without PNI symptoms

Subgroup analysis

The COVID group has been further divided into two subgroups, including either survivors of the first (n = 30) or the second wave (n = 25) of the pandemic. Demographics, clinical data, and outcomes assessment in the two subgroups are presented in Supplemental Table 1. Demographic characteristics were similar in the two subgroups. During the second wave, glucocorticoids were prescribed in all patients, who had shorter stays in the ICU with less prolonged vital supports. No difference in PNI incidence was observed between the first (14/30, 46.7%) and the second wave (10/25, 40%) (p = 0.789).

Discussion

In the present retrospective study performed in a post-ICU follow-up clinic, PNI symptoms were reported by at least one-third of the patients 3 months after ICU discharge. This proportion was similar to whether patients survived a COVID-19 ARDS or another critical illness, refuting the notion that COVID and non-COVID ICU survivors should be followed differently, at least in terms of peripheral nerve injuries. These results are in line with previously reported prevalence. In non-COVID critically ill survivors, reported PNI based on electrophysiologic studies was observed in about 40% at ICU discharge [23,24,25]. In another cohort of patients who survived a COVID-19 requiring MV, 37.1% of the survivors reported symptoms of PNI 4 months after ICU discharge [13]. However, in an observational study in a small cohort during the first wave of the pandemic, PNI was observed in only 5% of critically ill survivors, diagnosed using ENMG. In these patients, muscle biopsy described scattered necrotic and regenerative fibers and non-specific lesions assuming that COVID-19-related PNI is no specific microscopic pattern [14].

In the present study, the duration of mechanical ventilation, but not the prone positioning, was found as a risk factor for PNI occurrence. A recently published systematic review including 41 studies analyzed the main adverse effects of prone positioning in critically ill patients with ARDS: PNI was observed in 8.1% of studied patients [26]. However, this finding could have been underestimated due to the lack of screening of PNI parameters during these studies.

The highest value of CRP during the ICU stay was the only biological parameter associated with PNI occurrence in the present univariate analysis. A similar finding was also reported in a retrospective study including critically ill patients who were diagnosed with PNI before the COVID-19 pandemic [8]. CRP blood concentration, a biomarker of systemic inflammation, has been associated with a decrease of the peripheral nerve action potential amplitude in critically ill patients with SIRS: a negative correlation was found between CRP level and compound muscle action potential amplitude [8]. Glucocorticoids, with their anti-inflammatory effects, could theoretically reduce PNI incidence in a critical care context [17]. Such a positive effect has not been observed in our present study, nor in other studies in critically ill patients. A prospective, double-blind randomized study on persistent ARDS patients in whom glucocorticoids vs placebo were administrated did not lead to a reduction in PNI prevalence [27]. Moreover, glucocorticoids have even been incriminated in the pathophysiology of myopathy that include fiber atrophy and myosinolysis due to stimulation of corticosteroid muscle receptors [18]. However, the use of glucocorticoids in the context of high inflammatory status can be a confounding factor. Altogether, studies aiming to define risk factors of PNI in critically ill patients did not identify glucocorticoids as one of them [28,29,30].

Long-term outcomes of patients with PNI are now increasingly evaluated. A complete recovery is reported in 50 to 75% of the patients who survived critical illness with PNI one year after ICU discharge [7, 31]. For those who still experience PNI at 1-year follow-up consultation, their quality of life could still be significantly altered with poor physical stress tolerance and easy fatigability [32]. In the present study, the quality of life and the autonomy for ADL 3 months after ICU discharge were similar, whether patients presented symptoms of PNI or not.

Some limitations need to be acknowledged. First, the size of the studied population was limited and the study may be underpowered. Further investigations will be required to confirm the present findings. Second, some patients had clinical diagnoses of PNI without confirmation with ENMG. In some cases, the diagnosis was performed by a non-neurologist. The number of PNI could thus have been either overestimated or underestimated. However, similar incidences of PNI were observed in studies in which PNI was diagnosed with an EMG [13, 23, 25]. Finally, a number of patients were lost to follow-up, partly due to reduced human resources in our follow-up clinic during the COVID pandemic. Some patients refused to attend the consultation: they could have been either patients without any complaints or, in contrast, bedridden patients. However, these two categories of survivors are probably those who would benefit the least from a follow-up clinic. Altogether, these issues could have led to an unwanted selection bias. This bias is unfortunately inherent in follow-up studies, as observed in previously published cohorts.

Conclusion

In the present cohort retrospectively assessed 3 months after a prolonged ICU stay, PNI symptoms were reported in at least one-third of the survivors, in similar proportion whether they suffered from severe COVID-19 or not. PNI symptoms did not seem to impact autonomy or health-related quality of life. Only the duration of mechanical ventilation was found to be a PNI risk factor. A better understanding of inflammation as a PNI driver should be the goal of future research.

Availability of data and materials

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

Abbreviations

ADL:

Activities of daily living

ARDS:

Acute respiratory distress syndrome

BMI:

Body mass index

ENMG:

Electromyoneurography

HFNO:

High-flow nasal oxygen

HRQoL:

Health-related quality of life

ICU:

Intensive care unit

LOS:

Length of stay

MV:

Mechanical ventilation

PNI:

Peripheral nerve injury

PP:

Prone positioning

SIRS:

Systemic inflammatory response syndrome

VAS:

Visual analog scale

References

  1. Robinson LR (2000) Traumatic injury to peripheral nerves. Muscle Nerve juin 23(6):863–873

    Article  CAS  Google Scholar 

  2. Swash M, de Carvalho M (2020) Intensive care unit-acquired weakness: neuropathology. J Clin Neurophysiol mai 37(3):197–199

    Article  Google Scholar 

  3. Bolton CF, Laverty DA, Brown JD, Witt NJ, Hahn AF, Sibbald WJ (1986) Critically ill polyneuropathy: electrophysiological studies and differentiation from Guillain-Barré syndrome. J Neurol Neurosurg Psychiatry mai 49(5):563–573

    Article  CAS  Google Scholar 

  4. Zochodne DW, Bolton CF, Wells GA, Gilbert JJ, Hahn AF, Brown JD et al (1987) Critical illness polyneuropathy. A complication of sepsis and multiple organ failure. Brain J Neurol 110(4):819–41

    Article  Google Scholar 

  5. Latronico N, Bolton CF (2011) Critical illness polyneuropathy and myopathy: a major cause of muscle weakness and paralysis. Lancet Neurol 10(10):931–941

    Article  PubMed  Google Scholar 

  6. Stevens RD, Dowdy DW, Michaels RK, Mendez-Tellez PA, Pronovost PJ, Needham DM (2007) Neuromuscular dysfunction acquired in critical illness: a systematic review. Intensive Care Med 33(11):1876–1891

    Article  PubMed  Google Scholar 

  7. Leijten FS, De Weerd AW, Poortvliet DC, De Ridder VA, Ulrich C, Harink-De Weerd JE (1996) Critical illness polyneuropathy in multiple organ dysfunction syndrome and weaning from the ventilator. Intensive Care Med 22(9):856–861

    Article  CAS  PubMed  Google Scholar 

  8. Schmidt SB, Rollnik JD (2016) Critical illness polyneuropathy (CIP) in neurological early rehabilitation: clinical and neurophysiological features. BMC Neurol 16(1):256

    Article  PubMed  PubMed Central  Google Scholar 

  9. Hokkoku K, Erra C, Cuccagna C, Coraci D, Gatto DM, Glorioso D et al (2021) Intensive care unit-acquired weakness and positioning-related peripheral nerve injuries in COVID-19: a case series of three patients and the latest literature review. Brain Sci 11(9):1177

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Lambermont B, Rousseau AF, Seidel L, Thys M, Cavalleri J, Delanaye P et al (2021) Outcome improvement between the first two waves of the coronavirus disease 2019 pandemic in a single tertiary-care hospital in Belgium. Crit Care Explor mai 3(5):e0438

    Article  Google Scholar 

  11. Maury A, Lyoubi A, Peiffer-Smadja N, de Broucker T, Meppiel E (2021) Neurological manifestations associated with SARS-CoV-2 and other coronaviruses: a narrative review for clinicians. Rev Neurol (Paris) 177(1–2):51–64

    Article  CAS  PubMed  Google Scholar 

  12. Malik GR, Wolfe AR, Soriano R, Rydberg L, Wolfe LF, Deshmukh S et al (2020) Injury-prone: peripheral nerve injuries associated with prone positioning for COVID-19-related acute respiratory distress syndrome. Br J Anaesth déc 125(6):e478–e480

    Article  CAS  Google Scholar 

  13. Barton EC, Crosbie G, Hobson S, Harvey J, Abu-Arafeh A, Livesey JA et al (2023) A critical care follow-up service evaluation: acquired peripheral nerve injury after admission with COVID-19 respiratory disease. J Intensive Care Soc 24(2):230–1

  14. Cabañes-Martínez L, Villadóniga M, González-Rodríguez L, Araque L, Díaz-Cid A, Ruz-Caracuel I et al (2020) Neuromuscular involvement in COVID-19 critically ill patients. Clin Neurophysiol Off J Int Fed Clin Neurophysiol. 131(12):2809–2816

    Article  Google Scholar 

  15. Iadecola C, Anrather J, Kamel H (2020) Effects of COVID-19 on the nervous system. Cell. 183(1):16-27.e1

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. RECOVERY Collaborative Group; Horby P, Lim WS, Emberson JR, Mafham M, Bell JL, Linsell L, Staplin N, Brightling C, Ustianowski A, Elmahi E, Prudon B, Green C, Felton T, Chadwick D, Rege K, Fegan C, Chappell LC, Faust SN, Jaki T, Jeffery K, Montgomery A, Rowan K, Juszczak E, Baillie JK, Haynes R, Landray MJ (2021) Dexamethasone in Hospitalized Patients with Covid-19. N Engl J Med 384(8):693–704.

  17. Vandewalle J, Luypaert A, De Bosscher K, Libert C (2018) Therapeutic mechanisms of glucocorticoids. Trends Endocrinol Metab TEM janv 29(1):42–54

    Article  CAS  Google Scholar 

  18. De Jonghe B, Sharshar T, Lefaucheur JP, Authier FJ, Durand-Zaleski I, Boussarsar M et al (2002) Paresis acquired in the intensive care unit: a prospective multicenter study. JAMA 288(22):2859–2867

    Article  PubMed  Google Scholar 

  19. Van den Berghe G, Schoonheydt K, Becx P, Bruyninckx F, Wouters PJ (2005) Insulin therapy protects the central and peripheral nervous system of intensive care patients. Neurology 64(8):1348–1353

    Article  PubMed  Google Scholar 

  20. Guérin C, Albert RK, Beitler J, Gattinoni L, Jaber S, Marini JJ et al (2020) Prone position in ARDS patients: why, when, how and for whom. Intensive Care Med 46(12):2385–2396

    Article  PubMed  PubMed Central  Google Scholar 

  21. Bringer M, Gay L, Gorun C, Hassaine A, Molimard F, Noui A et al (2019) Le décubitus ventral : de la théorie à la pratique. Médecine Intensive Réanimation. 28(1):52–59

    Article  Google Scholar 

  22. Collin C, Wade DT, Davies S, Horne V (1988) The Barthel ADL Index: a reliability study. Int Disabil Stud 10(2):61–63

    Article  CAS  PubMed  Google Scholar 

  23. Koch S, Spuler S, Deja M, Bierbrauer J, Dimroth A, Behse F et al (2011) Critical illness myopathy is frequent: accompanying neuropathy protracts ICU discharge. J Neurol Neurosurg Psychiatry. 82(3):287–293

    Article  PubMed  Google Scholar 

  24. Hermans G, Van den Berghe G (2015) Clinical review: intensive care unit acquired weakness. Crit Care 19(1):274

    Article  PubMed  PubMed Central  Google Scholar 

  25. Witt NJ, Zochodne DW, Bolton CF,Grand’Maison F, Wells G, Young GB, et al (1991) Peripheral nerve function in sepsis and multiple organ failure. Chest. 99(1):176–184

    CAS  PubMed  Google Scholar 

  26. González-Seguel F, Pinto-Concha JJ, Aranis N, Leppe J (2021) Adverse events of prone positioning in mechanically ventilated adults with ARDS. Respir Care. 66(12):1898–1911

    Article  PubMed  Google Scholar 

  27. Steinberg KP, Hudson LD, Goodman RB, Hough CL, Lanken PN, Hyzy R et al (2006) Efficacy and safety of corticosteroids for persistent acute respiratory distress syndrome. N Engl J Med. 354(16):1671–1684

    Article  CAS  PubMed  Google Scholar 

  28. de Letter MA, Schmitz PI, Visser LH, VerheulFA,Schellens RL Op de Coul DA, et al (2001) Risk factors for the development of polyneuropathy and myopathy in critically ill patients Crit Care Med. 29(12):2281–2286

    PubMed  Google Scholar 

  29. Nanas S, Kritikos K, Angelopoulos E, Siafaka A, Tsikriki S, Poriazi M et al (2008) Predisposing factors for critical illness polyneuromyopathy in a multidisciplinary intensive care unit. Acta Neurol Scand 118(3):175–181

    Article  CAS  PubMed  Google Scholar 

  30. Garnacho-Montero J, Madrazo-Osuna J, García-Garmendia JL, Ortiz-Leyba C, Jiménez-Jiménez FJ, Barrero-Almodóvar A et al (2001) Critical illness polyneuropathy: risk factors and clinical consequences. A cohort study in septic patients. Intensive Care Med 27(8):1288–96

    Article  CAS  PubMed  Google Scholar 

  31. van der Schaaf M, Beelen A, de Vos R (2004) Functional outcome in patients with critical illness polyneuropathy. Disabil Rehabil. 26(20):1189–97

    Article  PubMed  Google Scholar 

  32. Zifko UA (2000) Long-term outcome of critical illness polyneuropathy. Muscle Nerve Suppl 9:S49-52

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

Not applicable

Funding

There was no funding for this publication.

Author information

Authors and Affiliations

Authors

Contributions

CM and AFR designed the research; CM, PM, CC, and AFR conducted the research; CM, ND, and AFR analyzed the data; CM and AFR wrote the paper; ND and BM critically reviewed the manuscript. All authors approved the final version.

Corresponding author

Correspondence to C. Malengreaux.

Ethics declarations

Ethics approval and consent to participate

In accordance with Belgian law, informed consent was not required because the study did not modify patients’ management, and the data were anonymously collected. This interpretation was confirmed by the Ethics Committee of the University Hospital of Liege (local reference 2020/424).

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

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

Supplementary Information

Additional file 1: Supplemental Table 1.

Demographic, clinical and outcome data in patients admitted during the two first waves of the pandemics.

Rights and permissions

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

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Malengreaux, C., Minguet, P., Colson, C. et al. Incidence and risk factors of peripheral nerve injuries 3 months after ICU discharge: a retrospective study comparing COVID-19 and non-COVID-19 critically ill survivors. J Anesth Analg Crit Care 4, 10 (2024). https://doi.org/10.1186/s44158-024-00144-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s44158-024-00144-8

Keywords