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Diagnostic accuracy of quantitative neuromuscular ultrasound for the diagnosis of intensive care unit-acquired weakness: a cross-sectional observational study
© The Author(s) 2017
Received: 16 November 2016
Accepted: 27 March 2017
Published: 5 April 2017
Neuromuscular ultrasound is a noninvasive investigation, which can be easily performed at the bedside on the ICU. A reduction in muscle thickness and increase in echo intensity over time have been described in ICU patients, but the relation to ICU-acquired weakness (ICU-AW) is unknown. We hypothesized that quantitative assessment of muscle and nerve parameters with ultrasound can differentiate between patients with and without ICU-AW. The aim of this cross-sectional study was to investigate the diagnostic accuracy of neuromuscular ultrasound for diagnosing ICU-AW.
Newly admitted ICU patients, mechanically ventilated for at least 48 h, were included. As soon as patients were awake and attentive, an ultrasound was made of four muscles and two nerves (index test) and ICU-AW was evaluated using muscle strength testing (reference standard; ICU-AW defined as mean Medical Research Council score <4). Diagnostic accuracy of muscle thickness, echo intensity and homogeneity (echo intensity standard deviation) as well as nerve cross-sectional area, thickness and vascularization were evaluated with the area under the curve of the receiver operating characteristic curve (ROC–AUC). We also evaluated diagnostic accuracy of z-scores of muscle thickness, echo intensity and echo intensity standard deviation.
Seventy-one patients were evaluated of whom 41 had ICU-AW. Ultrasound was done at a median of 7 days after admission in patients without ICU-AW and 9 days in patients with ICU-AW. Diagnostic accuracy of all muscle and nerve parameters was low. ROC–AUC ranged from 51.3 to 68.0% for muscle parameters and from 51.0 to 66.7% for nerve parameters.
Neuromuscular ultrasound does not discriminate between patients with and without ICU-AW at the time the patient awakens and is therefore not able to reliably diagnose ICU-AW in ICU patients relatively early in the disease course.
Intensive care unit-acquired weakness (ICU-AW) is an important cause of morbidity in critically ill patients and develops in approximately 50% of patients in the ICU [1, 2]. Patients with ICU-AW suffer from severe weakness affecting all extremities and often fail to wean from the ventilator . ICU-AW is caused by muscle dysfunction (critical illness myopathy; CIM), nerve dysfunction (critical illness polyneuropathy; CIP) or a mixed dysfunction (critical illness neuromyopathy (CINM) .
ICU-AW is diagnosed by assessment of manual muscle strength, using the Medical Research Council (MRC) score [3, 4]. A major limitation of muscle strength testing is that patients need to be awake and cooperative for reliable assessment . Since consciousness and cooperativeness are often impaired in ICU patients, especially in the first days after ICU admission, a diagnosis of ICU-AW is often delayed . To diagnose ICU-AW at an early stage, other diagnostic methods are needed.
Neuromuscular ultrasound (NMUS) is an upcoming technique to diagnose muscle disorders  and peripheral neuropathies . NMUS can detect muscle atrophy and changes in muscle architecture. Muscle echo intensity may increase due to an increase in fat and fibrous tissue . It can be quantified with computer software by calculating the average grayscale level of the muscle, which is more accurate and objective than visual evaluation . Nerve cross-sectional area (CSA) and echo intensity can also be quantified, as well as increased intraneural vascularization .
A limited number of muscle ultrasound studies have been performed in ICU patients, which were recently summarized in two systematic reviews [11, 12]. A reduction in muscle thickness [13–20] or CSA [17, 21] and increase in echo intensity [16, 17, 22] over time are reported. As these studies did not discriminate between patients with and patients without ICU-AW, it is unknown whether these changes are specific for ICU-AW and can be used to diagnose ICU-AW, or that these changes are found in all ICU patients. Nerve ultrasound parameters have never been assessed in ICU patients .
The aim of this cross-sectional study was to investigate the diagnostic accuracy of quantitative NMUS for diagnosing ICU-AW. We hypothesized that quantitative NMUS can discriminate between patients with and without ICU-AW at the time the patient awakens.
Design and ethical approval
This cross-sectional observational study was performed in the mixed medical–surgical ICU of the Academic Medical Center, Amsterdam, The Netherlands, and was designed in accordance with the STARD criteria .
The Institutional Review Board of the Academic Medical Center Amsterdam approved the study (NL41156.018.12.; 2012_264 #B2013585a), and the study was registered in the Netherlands Trial Register (NTR4148). Informed consent was obtained from all patients prior to inclusion.
Inclusion and exclusion criteria
Consecutive, newly admitted ICU patients, who were mechanically ventilated for ≥48 h, were eligible for inclusion. Patients with an admission diagnosis of a neuromuscular disorder, stroke, cardiac arrest, traumatic brain injury, spinal injury, or intracerebral infection or space-occupying lesion were excluded. In addition, we excluded patients with a poor pre-hospital functional status (modified Rankin >3) , preceding spinal injury and patients in whom no arms or no legs were available for muscle strength testing or ultrasound.
Medical Research Council score (the reference standard)
Muscle strength was assessed as soon as patients were awake [Richmond Agitation Sedation Scale (RASS) between −1 and 1] and cooperative (able to follow 5 verbal commands with facial muscles, as scored by the Score of 5 Questions ). Assessment was done by trained and experienced physiotherapists who were blinded for ultrasound results. The MRC score was used for assessment of strength in the following six muscle groups bilaterally: wrist dorsiflexors, elbow flexors, shoulder abductors, hip flexors, knee extensors and ankle dorsiflexors. ICU-AW was defined as a mean MRC score <4, in accordance with the international consensus statement .
Neuromuscular ultrasound measurements (the index test)
On the same day of the muscle strength assessment, NMUS testing was done by trained assessors (EW or CV) who were blinded for the muscle strength results, using an Esaote MyLabTwice ultrasound machine (Esaote, Genova, Italy). The biceps brachii (BB) muscle, tibialis anterior (TA) muscle and median nerve were measured on the left side of the body, and the rectus femoris (RF) muscle, flexor carpi radialis muscle (FCR) and peroneal nerve on the right side. If ultrasound was not possible on the preferred side, for example due to arterial lines or dressings, the opposite side was studied.
For muscle assessment, a 4–13 MHz linear array transducer was used with constant image acquisition settings, including constant focus. Three independent transverse images were taken per muscle based on predefined anatomical landmarks (Additional file 1: Figure E1; Additional file 1: Table E1). For assessment of muscle thickness, depth settings were adapted, if needed.
For quantitative echo intensity analysis, ultrasound images were analyzed with an in-house developed software routine for MATLAB (R2014b, Mathworks, Natick, MA, USA). Briefly, regions of interest (ROIs) for echo intensity measurements were drawn within the muscle following the contours of the muscle just below the fascia (Additional file 1: Figure E2). The lateral borders of the ROI were removed to exclude artifacts on the border of each image. The average echo intensity of the three images was used for analyses. The standard deviation (SD) of the average gray scale levels, as a measure of homogeneity, was analyzed as described before . A more homogenous muscle may be caused by loss of muscle architecture due to muscle breakdown, inflammation or fluid retention .
Muscle thickness and echo intensity can be age, gender, dominance, length and weight dependent . Therefore, raw ultrasound values were converted to z-scores using normal values which were acquired from published healthy populations [25, 26] and a new healthy population (see Additional file 1: Table E2 for the regression model formulas and Additional file 1: Table E3 for the characteristics of the new healthy control population). The z-scores represent the distance between the raw ultrasound value and the healthy population mean in units of the standard deviation. A z-score is negative when the raw score is below the population mean and positive when above.
For nerve assessment, a 6–18 MHz linear array transducer was used with constant image acquisition settings. Focus was adjusted according to nerve depth. Intraneural vascularization was investigated with power Doppler (low pulse repetition frequency 500 Hz, frequency 11.1 MHz, Doppler gain adjusted until random noise was encountered and then lowered until the noise disappeared, low persistence ). The median nerve was assessed at the wrist and 7 cm proximally and the peroneal nerve at the fibular head and at the popliteal fold, in a transversal and longitudinal plane. On transverse images, the cross-sectional area was measured within the hyperechogenic rim. Nerve diameter thickness was assessed on longitudinal images.
Clinical data collection
We collected the following clinical characteristics: age, sex, body weight and length at ICU admission, hand dominance, admission type, admission diagnosis, Acute Physiology and Chronic Health Evaluation IV (APACHE IV) score, maximal total Sequential Organ Failure Assessment (SOFA) score and the presence of sepsis (according to the Bone criteria ) before inclusion. In addition, we collected data on pre-existing polyneuropathy or myopathy, risk factors for polyneuropathy before ICU admission (diabetes mellitus, alcohol abuse, chemotherapy, kidney failure), days with mechanical ventilation, ICU length of stay and ICU mortality.
Sample size estimation
Sample size calculation was based on results of one study, in which echo intensity of the TA muscle increased by a factor 1.2 between 0 and 14 days after ICU admission . We used the standardized echo intensity of the TA for males (33.9 SD 9.3)  and multiplied this value by factor 1.2, giving 40.8, again assuming a SD of 9.3. Thirty patients per group were required to detect a difference of 6.9 (40.8–33.9) with 80% power and a two-sided alpha level of 0.05. Incidence of ICU-AW in patients mechanically ventilated for >48 h in our institution is around 50% [29, 30]. To account for technically imperfect data, we aimed to include at least 70 patients.
Normally distributed values are presented as mean with SD, non-normally distributed values as median with interquartile range (IQR), and proportions with percentages and total numbers. Differences between normally distributed continuous variables were assessed using Welch’s t test, and between non-normally distributed continuous variables using Wilcoxon rank-sum test. Pearson’s Chi-square or Fisher exact test was used to assess differences between proportions.
As a measure of variability, the median coefficient of variation (CV) of three analyses of echo intensity per muscle was assessed.
Discriminative power of NMUS was assessed using receiver operating characteristic (ROC) curves with calculated area under the curve (AUC) with 95% confidence interval (CI). Discriminative power of AUC values between 90 and 100% was defined as excellent, between 80 and 90% as good, between 70 and 80% as fair, between 60 and 70% as poor and <60% as failed.
Secondly, sensitivity and specificity and positive and negative predictive values (PPV, NPV) for muscle thickness and echo intensity were calculated based on a z-score cutoff of −2 for thickness parameters and +2 for echo intensity. We chose this cutoff point since 95% of the z-score values of healthy people lie between −2 and +2. Since weakness in ICU-AW is diffuse, we also investigated a composite outcome of amount of muscles with a thickness z-score of −2, or echo intensity of +2.
Analyses were done using R version 3.1.2 and R studio with the following packages: plyr, pROC, caret, tableOne, ggplot2.
N = 30
N = 41
Age (median years [IQR])
Body length (median cm [IQR])
Body weight (median kg [IQR])
History of myopathy (%)
History of polyneuropathy (%)
Any polyneuropathy risk factor in history (%)
Diabetes mellitus (%)
Alcohol abuse (%)
Kidney failure (%)
Admission reason (%)
Emergency surgical (%)
Elective surgical (%)
Dominant hand right (%)
APACHE IV score (median [IQR])
Maximum total SOFA score before ultrasound (median [IQR])
Sepsis before ultrasound (%)
Mean MRC (median [IQR])
Day of MRC (median [IQR])
Day of NMUS (median [IQR])
Length of MV (median days [IQR])
Length of stay on ICU (median days [IQR])
Death in ICU (%)
Univariate analysis of muscle thickness, echo intensity and echo intensity standard deviation (SD) and z-scores, and area under the receiver operating characteristic curve (ROC–AUC)
ROC–AUC (95% CI)
BB thickness [mean cm (SD)]
FCR thickness [mean cm (SD)]
RF thickness [mean cm (SD)]
TA thickness [mean cm (SD)]
BB z-score thickness [mean (SD)]
FCR z-score thickness [mean (SD)]
RF z-score thickness [mean (SD)]
TA z-score thickness [mean (SD)]
BB absolute echo intensity [mean gray scale level (SD)]
FCR absolute echo intensity [mean gray scale level (SD)]
RF absolute echo intensity [mean gray scale level (SD)]
TA absolute echo intensity [mean gray scale level (SD)]
Z-score echo intensity
BB z-score echo intensity [mean (SD)]
FCR z-score echo intensity [mean (SD)]
RF z-score echo intensity [mean (SD)]
TA z-score echo intensity [mean (SD)]
Echo intensity SD
BB echo intensity SD [mean gray scale level(SD)]
FCR echo intensity SD [mean gray scale level(SD)]
RF echo intensity SD [mean gray scale level(SD)]
TA echo intensity SD [mean gray scale level (SD)]
Z-score echo intensity SD
BB z-score echo intensity SD [mean (SD)]
FCR z-score echo intensity SD [mean (SD)]
RF z-score echo intensity SD [mean (SD)]
TA z-score echo intensity SD [mean (SD)]
For echo intensity, median CV of three analyses per muscle was 1.9–5.1%. Echo intensity was higher in TA muscle in ICU-AW patients, but z-scores of echo intensity were not different (Table 2). Discrimination between patients with ICU-AW and patients without ICU-AW based on echo intensity was poor and failed on z-scores of echo intensity.
Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for z-score cutoffs of −2 for muscle thickness and +2 for echo intensity
Z-score < −2
Z-score < −2
Z-score < −2
Z-score < −2
BB echo intensity
Z-score > 2
FCR echo intensity
Z-score > 2
RF echo intensity
Z-score > 2
TA echo intensity
Z-score > 2
Echo intensity SD and z-scores did not differ between patients with and without ICU-AW, and discrimination failed.
A composite outcome of amount of muscles with a thickness z-score of <−2 did not correctly classify patients [ROC–AUC 54.6% (95% CI 43.7–65.5%)], nor did the amount of muscles with an echo intensity z-score > 2 [ROC–AUC 56.8% (95% CI 43.4–70.2%)].
Univariate analysis and area under the receiver operating characteristic curve (ROC–AUC) of nerve parameters
ROC–AUC (95% CI)
CSA wrist [mean mm2 (SD)]
CSA proximal [mean mm2 (SD)]
Thickness proximal [mean mm (SD)]
Intraneural vascularization proximal (%)a
CSA fibular head [mean mm2 (SD)]
CSA knee fold [mean mm2(SD)]
Thickness knee fold [mean mm (SD)]
Intraneural vascularization proximal (%)a
This study showed that the diagnostic accuracy of quantitative NMUS for diagnosis of ICU-AW is poor when assessed at awakening (median 7–9 days after ICU admission). A single or composite NMUS measurement cannot distinguish between patients with or without ICU-AW. For a z-score cutoff of −2 for muscle thickness and +2 for muscle echo intensity (corresponding to values found in 2.3% of healthy individuals), specificity was high, but sensitivity and PPV and NPV were low.
Muscle thickness and echo intensity
We found that thickness and z-scores of thickness of BB and FCR muscles were significantly lower in ICU-AW patients compared to patients without ICU-AW and echo intensity of TA was higher. However, there is a huge overlap of NMUS values of the two groups, causing low diagnostic accuracy. We also found that most z-scores were between −2 and +2, which is usually considered the normal range (corresponding to values found in 95% of healthy people).
More time may be needed for muscle thickness to decrease and for echo intensity to increase. Long-term studies show that increased time in the ICU is associated with a substantial reduction in muscle thickness (up to 17.7–30.4% at day 10 after ICU admission [17, 21] and 38.9% after 4 weeks ). However, muscle atrophy is also seen in healthy volunteers after bed rest and might not discriminate between patients with and without ICU-AW . Moreover, echo intensity may increase more slowly. The process of recovery of injured muscle tissue, giving an increase in fibrous and/or fat tissue in muscle, may not be detectable in the first weeks after initial muscle injury . However, inflammation may be detectable earlier. In patients with severe sepsis, semiquantitatively graded echo intensity was already significantly higher at day 4 after admission compared to controls .
To determine diagnostic accuracy, we chose the moment of awakening, because it allowed a cross-sectional design with direct comparison to strength measurements. However, a diagnosis of ICU-AW before awakening (before muscle strength measurements are possible) is more desirable, because an early diagnosis is a prerequisite for any future preventive measure or treatment to be implemented. Since we found that diagnostic accuracy of NMUS at awakening was poor, it is less likely that differences in thickness and echo intensity will be more noticeable before this time point. Besides, muscle thickness and echo intensity can be influenced by confounding factors, like excessive fluid administration, often present in the first days after ICU admission, impairing the use of NMUS for early diagnosis of ICU-AW.
Alternatively, it might be that not the values at one time point, but the rate at which muscle size decreases or echo intensity increases can discriminate between ICU-AW and no ICU-AW. This would require multiple assessments with ultrasound in the first days after ICU admission to acquire an early diagnosis. Whether the changes in muscle thickness or echo intensity in the first days after admission would be evident enough to discriminate between ICU-AW and no ICU-AW is unknown. Studies with serial NMUS measurements within the first week after admission do not show uniform results: some studies showed a decrease in muscle mass at day 7 after ICU admission, varying from 12.1%  to 6.0–24.9% , while others did not find changes from baseline in the first week after ICU admission [16, 33]. Hence, the decrease in muscle thickness might be limited in the first week and might become more apparent thereafter. The increase in echo intensity is also more obvious after 7 days on the ICU [16, 17]. Differences between patients with and without ICU-AW were not assessed in these studies.
Nerve ultrasound in the ICU
To our best knowledge, nerve ultrasound has never been investigated before in ICU patients. Diagnostic accuracy of nerve thickness or CSA for diagnosing ICU-AW in our study was poor. The CSA of the median nerve measured at the carpal tunnel at the wrist was smaller in ICU-AW patients, and other nerve CSA or thickness parameters were not different. This at least indicates that nerve thickness is not increased in ICU-AW when compared to patients without ICU-AW, which is in line with an axonal neuropathy, since nerve thickness is often increased in demyelinating polyneuropathies .
It is hypothesized that nerve damage in ICU-AW may be caused by increased vascular permeability causing endoneurial edema and subsequent hypoxia . To compensate, perineural veins may dilate and cause hyperemia and hypervascularization, which could be detected by NMUS . We found hypervascularization in the median nerve in 16 patients and in the peroneal nerve in 7 patients. However, there were no differences between patients with and without ICU-AW.
Strengths and weaknesses
This is the first study investigating the diagnostic accuracy of quantitative NMUS for diagnosing ICU-AW, and also the first study ever to investigate quantitative nerve ultrasound in ICU patients. We used muscle strength testing as the reference standard, which is a clinically relevant reference standard and recommended method to diagnose ICU-AW . A large number of patients were included, and muscles and nerves were investigated with ultrasound in a systematic and reproducible way. The use of z-scores made the comparisons of measurements more reliable because age, gender and muscle side can influence muscle thickness and echo intensity.
As a first step to determine diagnostic accuracy, we investigated NMUS parameters only at the first time point on which the reference standard (MRC score) was available. A limitation is that we did not perform NMUS measurements before or after that time point. We can therefore not rule out that a change in thickness or echo intensity over time may have a good diagnostic accuracy. Additionally, we did not investigate muscle CSA as a measure of muscle mass in our study. Furthermore, NMUS and strength assessment was performed approximately 2 days later in ICU-AW patients compared to patients without ICU-AW. As there was more time in the ICU-AW group for muscle thickness to decrease and echo intensity to increase, this may have potentially overrated the difference with the group without ICU-AW. Given the already low diagnostic accuracy found, this only strengthens our conclusions. Additionally, it might be that muscles that were not assessed in our study may be more sensitive to changes in thickness or echo intensity. Moreover, muscle biopsy or electrophysiological recordings were not performed in our study, because these are not routinely performed in clinical practice to diagnose ICU-AW in our ICU. Therefore, we cannot discriminate between CIP, CIM and CINM in this study.
Although the investigators performing the NMUS were blinded for the exact MRC scores, total blinding to muscle strength is not possible, since the presence or absence of spontaneous movements of the patient already gives an impression of the muscle strength. Additionally, except for intra-rater CV of echo intensity measurements, we did not assess inter- and intra-rater variability.
A limitation of quantitative NMUS in general is the fact that it is complicated to directly compare NMUS results between studies, because of differences in image acquisition settings, probe position, ultrasound machines, etc. Gray scale levels are specific for the ultrasound machine used and cannot be compared to data obtained by other ultrasound machines unless calibrated . Calibration can be done with a universal phantom.
A single neuromuscular ultrasound at the moment a patient awakens does not discriminate between patients with and without ICU-AW.
All authors participated in design of the study; EW and CW did the ultrasound measurements. All authors analyzed the data and contributed to the writing of the manuscript. All authors read and approved the final manuscript.
L Wieske is supported by a personal grant from the Netherlands Organization for Health Research and Development (ZonMw–AGIKO Grant [Project Number 40-00703-98-11636]).
Prof. I.N. van Schaik received departmental honoraria for serving on scientific advisory boards and a steering committee for CSL-Behring. N. van Alfen received departmental honoraria for working as a trainer for a course on ultrasound-guided injection of botulinum toxin for Ipsen pharmaceuticals. The other authors declare that they have no competing interests.
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- Stevens RD, Dowdy DW, Michaels RK, Mendez-Tellez PA, Pronovost PJ, Needham DM. Neuromuscular dysfunction acquired in critical illness: a systematic review. Intensive Care Med. 2007;33(11):1876–91.View ArticlePubMedGoogle Scholar
- Latronico N, Bolton CF. Critical illness polyneuropathy and myopathy: a major cause of muscle weakness and paralysis. Lancet Neurol. 2011;10(10):931–41.View ArticlePubMedGoogle Scholar
- Stevens RD, Marshall SA, Cornblath DR, Hoke A, Needham DM, de Jonghe B, et al. A framework for diagnosing and classifying intensive care unit-acquired weakness. Crit Care Med. 2009;37(10 Suppl):S299–308.View ArticlePubMedGoogle Scholar
- Fan E, Cheek F, Chlan L, Gosselink R, Hart N, Herridge MS, et al. An official american thoracic society clinical practice guideline: the diagnosis of intensive care unit-acquired weakness in adults. Am J Respir Crit Care Med. 2014;190(12):1437–46.View ArticlePubMedGoogle Scholar
- Vanpee G, Hermans G, Segers J, Gosselink R. Assessment of limb muscle strength in critically ill patients: a systematic review. Crit Care Med. 2014;42(3):701–11.View ArticlePubMedGoogle Scholar
- Hough CL, Lieu BK, Caldwell ES. Manual muscle strength testing of critically ill patients: feasibility and interobserver agreement. Crit Care. 2011;15(1):R43.View ArticlePubMedPubMed CentralGoogle Scholar
- Pillen S, Arts IMP, Zwarts MJ. Muscle ultrasound in neuromuscular disorders. Muscle Nerve. 2008;37(6):679–93.View ArticlePubMedGoogle Scholar
- Gallardo E, Noto Y, Simon NG. Ultrasound in the diagnosis of peripheral neuropathy: structure meets function in the neuromuscular clinic. J Neurol Neurosurg Psychiatry. 2015;86:1066–74.Google Scholar
- Pillen S, van Keimpema M, Nievelstein RAJ, Verrips A, van Kruijsbergen-Raijmann W, Zwarts MJ. Skeletal muscle ultrasonography: visual versus quantitative evaluation. Ultrasound Med Biol. 2006;32(9):1315–21.View ArticlePubMedGoogle Scholar
- Goedee HS, Brekelmans GJF, van Asseldonk JTH, Beekman R, Mess WH, Visser LH. High resolution sonography in the evaluation of the peripheral nervous system in polyneuropathy—a review of the literature. Eur J Neurol. 2013;20:1342–51.Google Scholar
- Bunnell A, Ney J, Gellhorn A, Hough CL. Quantitative neuromuscular ultrasound in intensive care unit-acquired weakness: a systematic review. Muscle Nerve. 2015;52(5):701–8.View ArticlePubMedPubMed CentralGoogle Scholar
- Connolly B, MacBean V, Crowley C, Lunt A, Moxham J, Rafferty GF, et al. Ultrasound for the assessment of peripheral skeletal muscle architecture in critical illness: a systematic review. Crit Care Med. 2014;7:1–10.Google Scholar
- Campbell IT, Watt T, Withers D, England R, Sukumar S, Keegan MA, et al. Muscle thickness, measured with ultrasound, may be an indicator of lean tissue wasting in multiple organ failure in the presence of edema. Am J Clin Nutr. 1995;62(3):533–9.PubMedGoogle Scholar
- Gruther W, Benesch T, Zorn C, Paternostro- T, Quittan M, Fialka-moser V, et al. Muscle wasting in intensive care patients: ultrasound observation of the M. quadriceps femoris muscle layer. J Rehabil Med. 2008;40(3):185–9.View ArticlePubMedGoogle Scholar
- Reid CL, Campbell IT, Little RA. Muscle wasting and energy balance in critical illness. Clin Nutr. 2004;23(2):273–80.View ArticlePubMedGoogle Scholar
- Cartwright MS, Kwayisi G, Griffin LP, Sarwal A, Walker FO, Harris JM, et al. Quantitative neuromuscular ultrasound in the intensive care unit. Muscle Nerve. 2013;47(2):255–9.Google Scholar
- Parry SM, El-Ansary D, Cartwright MS, Sarwal A, Berney S, Koopman R, et al. Ultrasonography in the intensive care setting can be used to detect changes in the quality and quantity of muscle and is related to muscle strength and function. J Crit Care. 2015;30(5):1151.e9–14.View ArticlePubMedGoogle Scholar
- Moukas M, Vassiliou MP, Amygdalou A, Mandragos C, Takis F, Behrakis PK. Muscular mass assessed by ultrasonography after administration of low-dose corticosteroids and muscle relaxants in critically ill hemiplegic patients. Clin Nutr. 2002;21(4):297–302.View ArticlePubMedGoogle Scholar
- Gruther W, Kainberger F, Fialka-Moser V, Paternostro-Sluga T, Quittan M, Spiss C, et al. Effects of neuromuscular electrical stimulation on muscle layer thickness of knee extensor muscles in intensive care unit patients: a pilot study. J Rehabil Med. 2010;42(6):593–7.View ArticlePubMedGoogle Scholar
- Gerovasili V, Stefanidis K, Vitzilaios K, Karatzanos E, Politis P, Koroneos A, et al. Electrical muscle stimulation preserves the muscle mass of critically ill patients: a randomized study. Crit Care. 2009;13(5):R161.View ArticlePubMedPubMed CentralGoogle Scholar
- Puthucheary ZA, Rawal J, Mcphail M, Connolly B, Ratnayake G, Chan P, et al. Acute skeletal muscle wasting in critical illness. JAMA. 2013;310(15):1591–600. Google Scholar
- Grimm A, Teschner U, Porzelius C, Ludewig K, Zielske J, Witte OW, et al. Muscle ultrasound for early assessment of critical illness neuromyopathy in severe sepsis. Crit Care. 2013;17(5):R227.View ArticlePubMedPubMed CentralGoogle Scholar
- Bossuyt PPM, Reitsma JJB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig LM, et al. The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration. Ann Intern Med. 2003;138(1):1–12.View ArticleGoogle Scholar
- De Jonghe B, Sharshar T, Lefaucheur J-P, Authier F-J, Durand-Zaleski I, Boussarsar M, et al. Paresis acquired in the intensive care unit: a prospective multicenter study. JAMA. 2002;288(22):2859–67.View ArticlePubMedGoogle Scholar
- Arts IMP, Pillen S, Schelhaas HJ, Overeem S, Zwarts MJ. Normal values for quantitative muscle ultrasonography in adults. Muscle Nerve. 2010;41(1):32–41.View ArticlePubMedGoogle Scholar
- Nijboer-Oosterveld J, van Alfen N, Pillen S. New normal values for quantitative muscle ultrasound: obesity increases muscle echo intensity. Muscle Nerve. 2011;43(1):142–3.View ArticlePubMedGoogle Scholar
- Torp-Pedersen ST, Terslev L. Settings and artefacts relevant in colour/power Doppler ultrasound in rheumatology. Ann Rheum Dis. 2008;67(2):143–9.View ArticlePubMedGoogle Scholar
- Bone RC, Balk RA, Cerra FB, Dellinger RP, Fein AM, Knaus WA, et al. The ACCP–SCCM consensus conference on sepsis and organ failure. Chest. 1992;101(6):1644–55.View ArticlePubMedGoogle Scholar
- Wieske L, Verhamme C, Witteveen E, Bouwes A, Dettling-Ihnenfeldt DS, van der Schaaf M, et al. Feasibility and diagnostic accuracy of early electrophysiological recordings for ICU-acquired weakness: an observational cohort study. Neurocrit Care. 2015;22(3):385–94.Google Scholar
- Wieske L, Witteveen E, Verhamme C, Dettling-Ihnenfeldt DS, van der Schaaf M, Schultz MJ, et al. Early prediction of intensive care unit-acquired weakness using easily available parameters: a prospective observational study. PLoS ONE. 2014;9(10):e111259.View ArticlePubMedPubMed CentralGoogle Scholar
- Abe T, Kawakami Y, Suzuki Y, Gunji A, Fukunaga T. Effects of 20 days bed rest on muscle morphology. J Gravit Physiol. 1997;4(1):S10–4.PubMedGoogle Scholar
- Huard J, Li Y, Fu FH. Muscle injuries and repair: current trends in research. J Bone Joint Surg Am. 2002;84-A(5):822–32.View ArticlePubMedGoogle Scholar
- Rodriguez PO, Setten M, Maskin LP, Bonelli I, Vidomlansky SR, Attie S, et al. Muscle weakness in septic patients requiring mechanical ventilation: protective effect of transcutaneous neuromuscular electrical stimulation. J Crit Care. 2012;27(3):319.e1-8.View ArticleGoogle Scholar
- Bolton CF. Neuromuscular complications of sepsis. Intensive Care Med. 1993;19(Suppl 2):S58–63.View ArticlePubMedGoogle Scholar
- Mohammadi A, Ghasemi-Rad M, Mladkova-Suchy N, Ansari S. Correlation between the severity of carpal tunnel syndrome and color Doppler sonography findings. Am J Roentgenol. 2012;198(2):W181-4.View ArticleGoogle Scholar