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Article

The Role of Sarcopenia and Myosteatosis in Short- and Long-Term Outcomes Following Curative-Intent Surgery for Hepatocellular Carcinoma in a European Cohort

by
Franziska Alexandra Meister
1,
Georg Lurje
2,
Suekran Verhoeven
1,
Georg Wiltberger
1,
Lara Heij
1,
Wen-Jia Liu
1,
Decan Jiang
1,
Philipp Bruners
3,
Sven Arke Lang
1,
Tom Florian Ulmer
1,
Ulf Peter Neumann
1,4,
Jan Bednarsch
1,† and
Zoltan Czigany
1,*,†
1
Department of Surgery and Transplantation, Faculty of Medicine, University Hospital RWTH Aachen, 52074 Aachen, Germany
2
Department of Surgery, Campus Charité Mitte|Campus Virchow-Klinikum, Charité-Universitätsmedizin, 13353 Berlin, Germany
3
Institute of Radiology, Faculty of Medicine, University Hospital RWTH Aachen, 52074 Aachen, Germany
4
Department of Surgery, Maastricht University Medical Centre (MUMC), 6229 Maastricht, The Netherlands
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Cancers 2022, 14(3), 720; https://doi.org/10.3390/cancers14030720
Submission received: 1 January 2022 / Revised: 23 January 2022 / Accepted: 27 January 2022 / Published: 30 January 2022
(This article belongs to the Special Issue Management of Hepatocellular Carcinoma in Liver Disease)
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Abstract

:

Simple Summary

Recent studies have shown that pathological changes of body composition, in particular reduced muscle mass (sarcopenia) and impaired muscle quality (myosteatosis), are linked to poor outcomes in a variety of clinical conditions. Hepatocellular carcinoma (HCC) is the most frequent primary malignant tumor of the liver in the Western hemisphere and remains a prominent cause of cancer-associated mortality. The present study investigates the prognostic value of alterations in body composition in predicting perioperative morbidity, mortality and long-term oncological outcome in HCC using preoperative computed-tomography-based segmentation. Our study found supporting evidence for the relevance of muscle quality over quantity in a European population and verifies the predictive role of myosteatosis in patients suffering from HCC, with a particularly significant value in the earlier perioperative phase.

Abstract

Alterations of body composition, especially decreased muscle mass (sarcopenia) and impaired muscle quality (myosteatosis), are associated with inferior outcomes in various clinical conditions. The data of 100 consecutive patients who underwent partial hepatectomy for hepatocellular carcinoma (HCC) at a German university medical centre were retrospectively analysed (May 2008–December 2019). Myosteatosis and sarcopenia were evaluated using preoperative computed-tomography-based segmentation. We investigated the predictive role of alterations in body composition on perioperative morbidity, mortality and long-term oncological outcome. Myosteatotic patients were significantly inferior in terms of major postoperative complications (Clavien–Dindo ≥ 3b; 25% vs. 5%, p = 0.007), and myosteatosis could be confirmed as an independent risk factor for perioperative morbidity in multivariate analysis (odds ratio: 6.184, confidence interval: 1.184–32.305, p = 0.031). Both sarcopenic and myosteatotic patients received more intraoperative blood transfusions (1.6 ± 22 vs. 0.3 ± 1 units, p = 0.000; 1.4 ± 2.1 vs. 0.3 ± 0.8 units, respectively, p = 0.002). In terms of long-term overall and recurrence-free survival, no statistically significant differences could be found between the groups, although survival was tendentially worse in patients with reduced muscle density (median survival: 41 vs. 60 months, p = 0.223). This study confirms the prognostic role of myosteatosis in patients suffering from HCC with a particularly strong value in the perioperative phase and supports the role of muscle quality over quantity in this setting. Further studies are warranted to validate these findings.

1. Introduction

Body composition (BC) naturally varies among individuals depending on various factors, such as age and sex [1]. The assessment of BC has recently gained increased interest in a variety of pathological conditions, and generalized deterioration of BC is frequently observed in critically ill patients and patients suffering from various types of cancer [2,3,4,5,6,7]. While the loss of muscle mass and function, defined as sarcopenia and myosteatosis describes qualitative changes in muscle structure with increased intra- and intermyocellular fat accumulation [8,9,10,11,12].
Hepatocellular carcinoma (HCC) has an ever-increasing global incidence and is a major contributor to cancer-associated mortality worldwide [13]. Most patients suffering from HCC have an underlying chronic liver disease and are often affected by metabolic comorbidities at the time of diagnosis [14]. This is especially true in the present era with a rapidly increasing incidence of comorbidities, including metabolic syndrome, obesity, type II diabetes and non-alcoholic fatty liver disease (NAFLD) [13]. Due to their comorbidities and the underlying chronic liver disease, HCC patients are often unfit for curative surgical therapy. Those who can undergo partial hepatectomy have an increased risk of perioperative morbidity and poor long-term outcomes [15,16].
Recent high-impact studies by our group have reported a high prevalence of sarcopenia and myosteatosis and a strong association of BC with adverse perioperative outcomes in patients suffering from chronic liver disease and undergoing liver transplantation [3,17]. In line with this, Harimoto et al. detected sarcopenia as a predictor for worse overall survival (OS) in a Japanese cohort undergoing partial hepatectomy for HCC. Similar results have been reported by others over the recent years [18,19]. Concerning myosteatosis, Kaibori et al. reported a strong association of fat infiltration in skeletal muscle with inferior overall survival in patients suffering from HCC [20]. Although there are multiple studies on the association of pathological BC patterns and inferior outcomes in HCC, these patient cohorts are usually highly heterogeneous, utilizing a wide range of treatments and/or predominantly focusing on sarcopenia [21,22]. Western data on the short- and long-term prognostic role of the emerging factor myosteatosis following curative-intent surgery for HCC are still lacking.
Based on our recent findings in liver transplantation cohorts which received much scientific interest within the community [3,17,23], in this study, we aimed to comprehensively assess the predictive value of BC, including sarcopenia and myosteatosis in short- and long-term outcomes in a Western European single-centre cohort of patients suffering from HCC and undergoing liver resection with curative intent.

2. Materials and Methods

2.1. Patients, Ethics, and Eligibility

All consecutive patients undergoing partial hepatectomy for HCC with a curative intent between May 2008–December 2019 at the University Hospital RWTH Aachen (UH-RWTH), Aachen, Germany, were considered for inclusion into this retrospective analysis. Clinical staging was performed prior to the surgical indication, and patients with systemic or irresectable disease were rolled out. Patients where abdominal staging was performed using MRI were per se not eligible for the utilized segmentation analysis and therefore have been excluded.
The present study was conducted following the principles of the current version of the Declaration of Helsinki and the good clinical practice (ICH-GCP) guidelines. It was approved by the RWTH-Aachen University Institutional Review Board (EK 115/20 and EK 341/21).

2.2. Image Analysis and Segmentation

Computed tomography imaging was carried out at the UH-RWTH Aachen up to 12 weeks prior to surgery (Figure 1). Imaging data were analysed in a semi-automatic fashion by the same investigator who was blinded for the remaining clinical data and outcomes of the patients, as described before by our group [3]. Briefly, at the level of the third lumbar vertebra (L3), a single cross-sectional image was analysed using the 3D Slicer software platform version 4.1 and BC module (https://www.slicer.org/, 1 January 2022) [24]. Skeletal muscle index (SMI) and skeletal muscle radiation attenuation (SM-RA) are widely used parameters to characterize muscle mass (sarcopenia) and myosteatosis. Established cutoffs for patients suffering from chronic liver disease were used to identify patients at risk (SMI: female 39 cm2/m2, male 50 cm2/m2; SM-RA < 41 HU for patients with a body mass index (BMI) up to 24.9 kg/m2 and <33 HU for patients with a BMI ≥ 25 kg/m2) (Figure 1) [25,26].

2.3. Clinical Data Collection and Patient Follow Up

Data were obtained from a prospectively maintained institutional database and analysed retrospectively. The indication for the operative procedure for each patient was made by at least one experienced hepatobiliary surgeon and was approved by the institutional interdisciplinary tumor board. The partial hepatectomy was performed either laparoscopically or conventionally based on an individual case-by-case decision considering the difficulty of the procedure and other risk factors as well as patient preferences [27]. Techniques of partial hepatectomy, including the method of parenchyma dissection, were described by our group in previous studies [15,28,29]. The outpatient clinic of the UH-RWTH Aachen, as well as the local community-based hepatologist network, provided the follow-up data used in this study.
Scores and classifications reported in this study have been described by our group and by others in previous reports (including ASA classification (American Society of Anesthesiologists), ALBI grade (Albumin-Bilirubin) [30], labMELD (model for end-stage liver disease), Charlson Comorbidity Index (CCi) [31]; Clavien–Dindo classification (CD) and the Comprehensive Complication Index (CCI) [32,33], procedural costs [34], calculation of transfusion and the length of hospitalisation [35,36]).

2.4. Statistical Analysis

The primary endpoint of this study was defined as the incidence of perioperative in-hospital major morbidity (defined by CD ≥ 3b) [32]. Overall perioperative outcome, length of hospitalization, 90-day mortality, 60-month overall survival and 60-month disease-free survival were analysed and reported as secondary endpoints. Continuous data were reported as mean ± standard deviation and absolute and relative frequencies in the case of categorical variables. For the analysis of categorial data, Chi-squared tests and Fisher’s exact test were used where appropriate. Continuous data were analysed using Student’s t test, the Mann–Whitney U test, and the Kruskal–Wallis H test, as applicable.
The ability of BC parameters to predict perioperative outcomes was assessed using uni- and multivariable logistic regression analyses. The overall and disease-free survival curves were analyzed by the Kaplan–Meier method and compared with the log-rank test. Patients deceased within 90 days after the surgical procedure have been excluded from all survival analyses.
The level of statistical significance was set to p < 0.05. Statistical analysis was performed using SPSS Statistics 24 (IBM Corp., Armonk, NY, USA).

3. Results

3.1. Study Population Characteristics

Within the study period, a total of 151 patients underwent partial hepatectomy for HCC with curative intent at our institution. Some 51 had insufficient preoperative CT imaging (MRI scans) and were not included in the analysis (Figure 1). Finally, 100 patients with a mean age of 67 ± 11 were included. In the analysed cohort, 28 patients (28%) were female. The mean labMELD was 8 ± 3, and 42 patients had liver cirrhosis confirmed by histology. In total, 67 patients were categorized as performance status ASA III or higher, and 17 patients underwent preoperative therapy including portal venous embolization (PVE, 6 patients), systemic therapy with sorafenib (1 patient), transarterial radioembolization (TARE, 3 patients) and transarterial chemoembolization (TACE, 7 patients), respectively (Table 1). The mean largest tumor diameter was 72 ± 41 mm, and 71 patients suffered from HCC belonging to UICC category I or II (Union for International Cancer Control) (36/35).
Microvascular invasion was pathologically confirmed in 52 cases (52%), and most patients had G2 tumors (77%). The underlying liver disease was non-alcoholic fatty liver disease (NAFLD) in 38% of cases, followed by alcoholic (28%) and viral disease (25%). The most common operative procedures were hemihepatecomy (25%) and bisegmentectomy (25%), followed by atypical non-anatomical resections (24%). A laparoscopic approach was used in 21% of cases, and R0 resection was achieved in 85% of the patients, respectively (Table 1).

3.2. Body Composition

The median time between CT scan used for analysis and the operative procedure was 19 [6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47] days. BMI was 26 ± 4 with a mean SMI of 45 ± 9 cm2/m2 for all included patients. Mean SMI was 37 ± 5 cm2/m2 for females and 49 ± 8 cm2/m2 for males, respectively (Table 1). The mean overall SM-RA was 33 ± 10 HU, 34 ± 11 HU for females and 32 ± 10 HU for male patients (Table 1). A total of 54 patients were categorized as sarcopenic, and 60 patients suffered from myosteatosis according to our pre-defined cutoff values.
Patient characteristics were in general equally distributed between patients with myosteatosis and those with normal muscle density with slight differences. Patients with mysteatosis had a significantly lower serum albumin (36 ± 11 g/L vs. 43 ± 5 g/L, p = 0.001, Table 1) and suffered more often from alcoholic liver disease (38% vs. 13%, p = 0.005, Table 1), while viral liver disease was observed less frequently (14% vs. 42%, p = 0.001, Table 1). In the myosteatotic subgroup, the frequency of preoperative PVE was lower (2% vs. 13%, p = 0.025, Table 1).
Characteristics in sarcopenic and non-sarcopenic patients were equally distributed, with the exception of BMI, which was significantly higher in patients without sarcopenia (24 ± 3 kg/m2 vs. 29 ± 4 g/L, p = 0.000, Table 1). Sarcopenic patients suffered more frequently from alcoholic liver disease than non-sarcopenic patients (13% vs. 2%, p = 0.025, Table 1), and the type of surgery also differed slightly in the two groups. Detailed demographics are displayed in Table 1.

3.3. Myosteatosis, Sarcopenia and Their Value in Predicting Perioperative Outcomes

A total of 17% (17 out of 100) of all patients showed major (CD ≥ 3b) postoperative complications during their hospital stay following partial hepatectomy according to the Clavien–Dindo classification (Table 2 and Table 3). The distribution of major morbidity is depicted in Table 2. For the analysed cohort, the mean CCI score was 21 ± 89, and the mean length of hospital stay was 14 ± 13 days (Table 2). The overall 90-day mortality was 14 out of 100 (14%). The causes of 90-day mortality are depicted in detail in Table 2.
A mean of 1 ± 1.8 RBC and 2 ± 2.7 FFP units were administered during the initial surgery (Table 3). Mean estimated costs were EUR 13.4 ± 7.6 thousand (TEuro). Significantly more patients in the myosteatosis group developed major complications compared to patients with normal muscle density (25% vs. 5%, p = 0.007, Table 2). CCI was slightly higher in myosteatotic patients, but the difference was not significant (24 ± 32 vs. 17 ± 24, p = 0.689, Table 3). Similar, estimated procedural costs were slightly increased in mysteototic patients 12.2 ± 5.9 vs. 14.3 ± 8.5 TEuro, p = 0.383, Table 3) without statistical significance. Regarding 90-day mortality, no significant difference was observed (18% vs. 8%, p = 0.125). In line with the above-described findings, the mean length of hospital stay was two days longer in the myosteatosis group but showed no significant difference (15 ± 15 vs. 13 ± 10 days, p = 0.380, Table 3). Intraoperatively transfused RBC units were significantly higher in myosteatotic patients (1.4 ± 2.1 vs. 0.3 ± 0.8 units, p = 0.002, Table 3), whereas the number of FFP units administered was comparable in both groups (2.2 ± 2.8 vs. 1.6 ± 2.5 units, p = 0.263, Table 3).
Similar but slightly less prominent observations have been made between the subgroups of patients with and without sarcopenia regarding major complications (15% vs. 20%, p = 0.529, Table 3), CCI (20 ± 26 vs. 23 ± 32, p = 0.724, Table 3), cost estimation (14 ± 8.4 vs. 13 ± 6.8, TEuro p = 0.724, Table 3), 90-day mortality (17% vs. 11%, p = 0.437, Table 3) and length of hospital stay (15 ± 14 vs. 14 ± 13 days, p = 0.560, Table 2). However, similar to myosteatosis, sarcopenia was also associated with an increased need for intraoperative RBC transfusions (1.6 ± 22 vs. 0.3 ± 1 units, p = 0.000, Table 3).
In the multivariable analysis, male sex (OR 10.477 95%CI 1.210–90.705, p = 0.033), duration of the operative procedure ≥ 210 min (OR 5.385 95%CI 1.476–19.650, p = 0.011) and myosteatosis (SM-RA: OR 6.184 95%CI 1.184–32.305, p = 0.031) have been identified as independent predictors of major morbidity following partial hepatectomy for HCC (Table 4).

3.4. Overall and Disease-Free Survival

The median follow-up period for the included patients was 52 months, with a median OS of 42 months and a median DFS of 37 months. Alterations of muscle quality and muscle mass seemingly had no statistically significant effects on long-term overall and recurrence-free survival in our analysis. It should be noted, however, that even though the differences did not reach the level of statistical significance, survival curves for OS showed different characteristics in myosteatotic and non-myosteatotic patients, with longer median survival in the absence of pathological muscle fat (median survival: 41 vs. 60 months; 1 year: 87% vs. 100%, 3 years: 57% vs. 66%, 5 years: 39% vs. 48%, p = 0.223; Figure 2). Interestingly, DFS was inferior, even though not statistically significant, in sarcopenic patients (median DFS: 35 vs. 40 months; 1-year: 71% vs. 89%, 3-years: 47% vs. 63%, 5-years: 27% vs. 49%, p = 0.118; Figure 2).

4. Discussion

The present study provides new insights into the understanding of the prognostic role of pathological alterations in the skeletal muscle compartment in HCC patients undergoing partial hepatectomy. Pathological alterations of BC were highly prevalent in our cohort, with 60% and 54% of our patients being myosteatotic and sarcopenic, respectively. While myosteatosis showed a significant negative effect on early morbidity, sarcopenia failed to stratify our patients into various risk groups based on short- or long-term outcomes.
Hepatocellular carcinoma is frequently associated with advanced parenchymal liver disease and cirrhosis [37]. Previous evidence from basic and clinical research has demonstrated a strong correlation between chronic liver disease (CLD) and pathological alterations of BC [38]. Even though the complex mechanisms of liver-muscle cross-talk are not completely understood, it has been shown that not only can CLD can trigger muscle wasting and changes in skeletal muscle structure, but also, the skeletal muscle compartment can contribute to the further progression of liver disease [26,38]. Due to this strong bidirectional association between the liver and skeletal muscle compartment, changes in BC have received a strongly increasing attention from the scientific community as potentially modifiable risk factors for inferior outcomes in patients with liver disease [38,39]. Although previous studies have shown that malnutrition, frailty, the loss of muscle mass and function are associated with higher rates of complications and inferior outcomes in various patient cohorts [3,5,17,23,40], there is only limited evidence available comparing the prognostic effects of qualitative changes of the skeletal muscle seen in myosteatosis versus qualitative muscle loss (sarcopenia) in a homogeneous cohort of HCC patients undergoing curative-intent surgery.
In this retrospective, single-centre study, we show that myosteatosis is superior to sarcopenia in predicting major complications including in-hospital mortality following curative-intent surgery in HCC patients. While mysoteatosis was significantly associated with a higher incidence of major postoperative complications (p = 0.007) and an increased need for intraoperative blood transfusion (p = 0.002), sarcopenia has failed to stratify our patients based on morbidity in our group analysis. Myosteatosis was also identified as an independent predictor of major morbidity in our multivariate logistic regression analysis. It should be noted, however, that the effects of body composition were rather modest, as further factors of perioperative outcomes, including morbidity assessed by CCI and length of hospital stay, were slightly inferior in myosteatotic patients but showed no statistical significance (Table 2). Further, no significant differences were observed in terms of long-term oncological outcomes, even though the overall survival curve of the non-myosteatotic patients still showed favorable characteristics compared to the myosteatotic sub-cohort. The rather modest nature of our findings and between-group differences might be associated with the limited sample-size of our cohort, especially when compared to Asian studies [21].
One of the early landmark studies by Harimoto et al. from Japan reported significantly worse OS in the presence of sarcopenia in an Asian cohort of 186 patients who underwent partial hepatectomy for HCC [18]. This study did not report SM-RA as a parameter of myosteatosis. Furthermore, following the seminal report of Harimoto, other also predominantly Asian studies delivered controversial findings on the prognostic effects of sarcopenia in HCC patients [18,41,42,43,44,45].
A meta-analysis by Xu et al. included 6 studies with a total of 1420 patients and concluded that sarcopenia might be associated with adverse outcomes [21]. Interestingly, this meta-analysis has also described an association between the presence of preoperative sarcopenia and larger diameter tumors [21]. This was in line with our findings as both our mysteatotic and sarcopenic sub-cohorts have presented with larger tumors, even though the difference did not reach the level of statistical significance.
The molecular mechanisms leading to sarcopenia and myosteatosis are still the subject of ongoing basic and translational research. While mysteatosis may be observed both in normal weight and underweight patients, it can be assumed that skeletal muscle serves as more than just an ectopic energy storage site and that mechanisms other than excessive fat consumption may play a role in the development of pathological myosteatosis and fat deposition [38,46]. In our cohort, myosteatotic patients showed a significantly lower amount of serum albumin prior to surgery; however, the BMI was similar in both groups. This observation may support the hypothesis that restricted liver function and disease-related malnutrition trigger muscle wasting and quantitative alterations of the skeletal muscle compartment [38]. There was an increasing awareness for malnutrition and BC over the past years which is well-demonstrated by the fact that new international consensus guidelines were appearing recently for the first time on nutrition and BC assessment in CLD and in surgical as well as liver transplant candidates [39,47]. Nevertheless, the clinical translation of these recommendations is still limited and considerably delayed in many centres, which underlines the importance of generating more quality clinical evidence.
The findings of the current study should be interpreted in light of potential limitations. Recently, the importance of BC assessment has been recognized by top-notch international associations and expert groups [39,48,49,50], which led to a general recommendation regarding the measurement of muscle alterations in patients with liver disease. In these recent guidelines, imaging-based BC assessment is recognized as the gold-standard technique anytime a cross-sectional scan is available. However, several major limitations remain, such as the large heterogeneity of the literature in terms of diagnostic criteria, assessment approach and cutoff values. Therefore, in this study, we used the most widely recommended cutoffs for SMI and SM-RA [3,48]. Nevertheless, multiple other muscle area-, volume-, and thickness-based indices and also a large number of other cutoff values for different muscle compartments exist and have been reported by others, which limits the comparability of our findings with some other reports [6,51,52].
Due to its retrospective nature, this study did not include any functional analysis of patient frailty, fitness and muscle strength, which should also be noted as a significant limitation. It should be noted as well that in this cohort, a relatively high (14%) 90-day mortality was reported. This observation can be at least partially explained by the high proportion of patients with significant comorbidities with high ASA grades, extensive tumor burden and extended resections. Further, our final dataset was relatively small compared to some other studies, especially from Asian centres, which might partially explain the observed rather modest between-group differences.

5. Conclusions

Notwithstanding some obvious limitations described above, this report is one of the first comprehensive studies to evaluate and compare the prognostic value of both myosteatosis and sarcopenia in predicting short- and long-term outcomes following partial hepatectomy for HCC in a European single-centre cohort. The findings support the prognostic role of nutritional/BC screening in patients undergoing curative-intent oncological liver surgery. Body composition assessment represents an excellent tool which can easily be integrated into the preoperative clinical assessment and decision making and could help identify patients with higher malnutritional risk who could particularly benefit from various “prehabilitation” or “BC upstaging” approaches in terms of exercise, nutritional changes and pharmacological interventions [53]. Further prospective clinical trials with larger sample sizes are warranted to extend and validate our findings.

Author Contributions

Conceptualization, F.A.M., G.L., U.P.N., J.B., S.V., Z.C.; data curation F.A.M., G.L., J.B., S.V., Z.C.; formal analysis, F.A.M., G.L., J.B., S.V., Z.C.; funding acquisition, F.A.M., Z.C.; investigation, F.A.M., S.V., Z.C. methodology, F.A.M., S.V., Z.C.; project administration, F.A.M., S.V., J.B., Z.C.; resources, F.A.M., G.L., U.P.N., J.B., S.V., Z.C.; supervision, F.A.M., J.B., Z.C.; validation, F.A.M., G.L., J.B., S.V., Z.C.; visualization F.A.M., S.V., Z.C.; writing—original draft, F.A.M., S.V., Z.C.; writing—review and editing, G.L., J.B., G.W., L.H., W.-J.L., D.J., P.B., S.V., S.A.L., T.F.U., U.P.N. All authors have read and agreed to the published version of the manuscript.

Funding

The authors declare funding from the START-programme (#108/21 to FAM, #23/19 to ZC), the Clinician Scientist programme (to ZC) and the FF-Med programme (to FAM) of the Faculty of Medicine RWTH Aachen University without the involvement of the funders in study design, data collection, data analysis, manuscript preparation or decision to publish.

Institutional Review Board Statement

The present study was approved by the RWTH-Aachen University Institutional Review Board (EK 115/20 and EK 341/21).

Informed Consent Statement

Patient consent was waived due to the retrospective study design and collection of routine clinical data.

Data Availability Statement

All relevant data were reported within the manuscript. Further supporting data will be provided upon written request addressed to the corresponding author.

Acknowledgments

Not applicable.

Conflicts of Interest

The authors of this manuscript have no conflict of interest to disclose.

References

  1. Chen, H.W.; Dunn, M.A. Arresting frailty and sarcopenia in cirrhosis: Future prospects. Clin. Liver Dis. 2018, 11, 52–57. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Bauer, J.; Morley, J.E.; Schols, A.; Ferrucci, L.; Cruz-Jentoft, A.J.; Dent, E.; Baracos, V.E.; Crawford, J.A.; Doehner, W.; Heymsfield, S.B.; et al. Sarcopenia: A Time for Action. An SCWD Position Paper. J. Cachexia Sarcopenia Muscle 2019, 10, 956–961. [Google Scholar] [CrossRef] [PubMed]
  3. Czigany, Z.; Kramp, W.; Bednarsch, J.; van der Kroft, G.; Boecker, J.; Strnad, P.; Zimmermann, M.; Koek, G.; Neumann, U.P.; Lurje, G. Myosteatosis to predict inferior perioperative outcome in patients undergoing orthotopic liver transplantation. Am. J. Transplant. 2020, 20, 493–503. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Kudou, K.; Saeki, H.; Nakashima, Y.; Edahiro, K.; Korehisa, S.; Taniguchi, D.; Tsutsumi, R.; Nishimura, S.; Nakaji, Y.; Akiyama, S.; et al. Prognostic Significance of Sarcopenia in Patients with Esophagogastric Junction Cancer or Upper Gastric Cancer. Ann. Surg. Oncol. 2017, 24, 1804–1810. [Google Scholar] [CrossRef] [PubMed]
  5. Montano-Loza, A.J.; Angulo, P.; Meza-Junco, J.; Prado, C.M.; Sawyer, M.B.; Beaumont, C.; Esfandiari, N.; Ma, M.; Baracos, V.E. Sarcopenic obesity and myosteatosis are associated with higher mortality in patients with cirrhosis. J. Cachexia Sarcopenia Muscle 2016, 7, 126–135. [Google Scholar] [CrossRef] [PubMed]
  6. Centonze, L.; Di Sandro, S.; Lauterio, A.; De Carlis, R.; Botta, F.; Mariani, A.; Bagnardi, V.; De Carlis, L. The Impact of Sarcopenia on Postoperative Course following Pancreatoduodenectomy: Single-Center Experience of 110 Consecutive Cases. Dig. Surg. 2020, 37, 312–320. [Google Scholar] [CrossRef]
  7. Delitto, D.; Judge, S.M.; George, T.J., Jr.; Sarosi, G.A.; Thomas, R.M.; Behrns, K.E.; Hughes, S.J.; Judge, A.R.; Trevino, J.G. A clinically applicable muscular index predicts long-term survival in resectable pancreatic cancer. Surgery 2017, 161, 930–938. [Google Scholar] [CrossRef] [PubMed]
  8. Montano-Loza, A.J.; Meza-Junco, J.; Baracos, V.E.; Prado, C.M.; Ma, M.; Meeberg, G.; Beaumont, C.; Tandon, P.; Esfandiari, N.; Sawyer, M.B.; et al. Severe muscle depletion predicts postoperative length of stay but is not associated with survival after liver transplantation. Liver Transplant. 2014, 20, 640–648. [Google Scholar] [CrossRef]
  9. Hamaguchi, Y.; Kaido, T.; Okumura, S.; Fujimoto, Y.; Ogawa, K.; Mori, A.; Hammad, A.; Tamai, Y.; Inagaki, N.; Uemoto, S. Impact of quality as well as quantity of skeletal muscle on outcomes after liver transplantation. Liver Transplant. 2014, 20, 1413–1419. [Google Scholar] [CrossRef] [PubMed]
  10. Kobashigawa, J.; Dadhania, D.; Bhorade, S.; Adey, D.; Berger, J.; Bhat, G.; Budev, M.; Duarte-Rojo, A.; Dunn, M.; Hall, S.; et al. Report from the American Society of Transplantation on frailty in solid organ transplantation. Am. J. Transplant. 2019, 19, 984–994. [Google Scholar] [CrossRef]
  11. van der Kroft, G.; van Dijk, D.P.J.; Rensen, S.S.; Van Tiel, F.H.; de Greef, B.; West, M.; Ostridge, K.; Dejong, C.H.C.; Neumann, U.P.; Olde Damink, S.W.M. Low thoracic muscle radiation attenuation is associated with postoperative pneumonia following partial hepatectomy for colorectal metastasis. HPB 2020, 22, 1011–1019. [Google Scholar] [CrossRef] [PubMed]
  12. Nachit, M.; De Rudder, M.; Thissen, J.P.; Schakman, O.; Bouzin, C.; Horsmans, Y.; Vande Velde, G.; Leclercq, I.A. Myosteatosis rather than sarcopenia associates with non-alcoholic steatohepatitis in non-alcoholic fatty liver disease preclinical models. J. Cachexia Sarcopenia Muscle 2020, 12, 144–158. [Google Scholar] [CrossRef] [PubMed]
  13. McGlynn, K.A.; Petrick, J.L.; El-Serag, H.B. Epidemiology of Hepatocellular Carcinoma. Hepatology 2021, 73 (Suppl. 1), 4–13. [Google Scholar] [CrossRef]
  14. Bunchorntavakul, C.; Reddy, K.R. Review article: Malnutrition/sarcopenia and frailty in patients with cirrhosis. Aliment. Pharmacol. Ther. 2020, 51, 64–77. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Lurje, G.; Bednarsch, J.; Czigany, Z.; Amygdalos, I.; Meister, F.; Schoning, W.; Ulmer, T.F.; Foerster, M.; Dejong, C.; Neumann, U.P. Prognostic factors of disease-free and overall survival in patients with hepatocellular carcinoma undergoing partial hepatectomy in curative intent. Langenbeck’s Arch. Surg. 2018, 403, 851–861. [Google Scholar] [CrossRef] [PubMed]
  16. Miller, H.; Czigany, Z.; Lurje, I.; Reichelt, S.; Bednarsch, J.; Strnad, P.; Trautwein, C.; Roderburg, C.; Tacke, F.; Gaisa, N.T.; et al. Impact of Angiogenesis- and Hypoxia-Associated Polymorphisms on Tumor Recurrence in Patients with Hepatocellular Carcinoma Undergoing Surgical Resection. Cancers 2020, 12, 3826. [Google Scholar] [CrossRef]
  17. Czigany, Z.; Kramp, W.; Lurje, I.; Miller, H.; Bednarsch, J.; Lang, S.A.; Ulmer, T.F.; Bruners, P.; Strnad, P.; Trautwein, C.; et al. The role of recipient myosteatosis in graft and patient survival after deceased donor liver transplantation. J. Cachexia Sarcopenia Muscle 2021, 12, 358–367. [Google Scholar] [CrossRef]
  18. Harimoto, N.; Shirabe, K.; Yamashita, Y.I.; Ikegami, T.; Yoshizumi, T.; Soejima, Y.; Ikeda, T.; Maehara, Y.; Nishie, A.; Yamanaka, T. Sarcopenia as a predictor of prognosis in patients following hepatectomy for hepatocellular carcinoma. Br. J. Surg. 2013, 100, 1523–1530. [Google Scholar] [CrossRef]
  19. Peng, P.D.; van Vledder, M.G.; Tsai, S.; de Jong, M.C.; Makary, M.; Ng, J.; Edil, B.H.; Wolfgang, C.L.; Schulick, R.D.; Choti, M.A.; et al. Sarcopenia negatively impacts short-term outcomes in patients undergoing hepatic resection for colorectal liver metastasis. HPB 2011, 13, 439–446. [Google Scholar] [CrossRef] [Green Version]
  20. Kaibori, M.; Ishizaki, M.; Iida, H.; Matsui, K.; Sakaguchi, T.; Inoue, K.; Mizuta, T.; Ide, Y.; Iwasaka, J.; Kimura, Y.; et al. Effect of Intramuscular Adipose Tissue Content on Prognosis in Patients Undergoing Hepatocellular Carcinoma Resection. J. Gastrointest. Surg. 2015, 19, 1315–1323. [Google Scholar] [CrossRef]
  21. Xu, L.; Jing, Y.; Zhao, C.; Zhang, Q.; Zhao, X.; Yang, J.; Wu, L.; Yang, Y. Preoperative computed tomography-assessed skeletal muscle index is a novel prognostic factor in patients with hepatocellular carcinoma following hepatectomy: A meta-analysis. J. Gastrointest. Oncol. 2020, 11, 1040–1053. [Google Scholar] [CrossRef] [PubMed]
  22. Fujiwara, N.; Nakagawa, H.; Kudo, Y.; Tateishi, R.; Taguri, M.; Watadani, T.; Nakagomi, R.; Kondo, M.; Nakatsuka, T.; Minami, T.; et al. Sarcopenia, intramuscular fat deposition, and visceral adiposity independently predict the outcomes of hepatocellular carcinoma. J. Hepatol. 2015, 63, 131–140. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Meister, F.A.; Bednarsch, J.; Amygdalos, I.; Boecker, J.; Strnad, P.; Bruners, P.; Lang, S.A.; Ulmer, T.F.; Heij, L.; Santana, D.A.M.; et al. Various myosteatosis selection criteria and their value in the assessment of short- and long-term outcomes following liver transplantation. Sci. Rep. 2021, 11, 13368. [Google Scholar] [CrossRef] [PubMed]
  24. Fedorov, A.; Beichel, R.; Kalpathy-Cramer, J.; Finet, J.; Fillion-Robin, J.C.; Pujol, S.; Bauer, C.; Jennings, D.; Fennessy, F.; Sonka, M.; et al. 3D Slicer as an image computing platform for the Quantitative Imaging Network. Magn. Reson. Imaging 2012, 30, 1323–1341. [Google Scholar] [CrossRef] [Green Version]
  25. Ebadi, M.; Tandon, P.; Moctezuma-Velazquez, C.; Ghosh, S.; Baracos, V.E.; Mazurak, V.C.; Montano-Loza, A.J. Low subcutaneous adiposity associates with higher mortality in female patients with cirrhosis. J. Hepatol. 2018, 69, 608–616. [Google Scholar] [CrossRef]
  26. Eslamparast, T.; Montano-Loza, A.J.; Raman, M.; Tandon, P. Sarcopenic obesity in cirrhosis-The confluence of 2 prognostic titans. Liver Int. 2018, 38, 1706–1717. [Google Scholar] [CrossRef] [Green Version]
  27. Abu Hilal, M.; Aldrighetti, L.; Dagher, I.; Edwin, B.; Troisi, R.I.; Alikhanov, R.; Aroori, S.; Belli, G.; Besselink, M.; Briceno, J.; et al. The Southampton Consensus Guidelines for Laparoscopic Liver Surgery: From Indication to Implementation. Ann. Surg. 2018, 268, 11–18. [Google Scholar] [CrossRef] [Green Version]
  28. Bednarsch, J.; Czigany, Z.; Heise, D.; Joechle, K.; Luedde, T.; Heij, L.; Bruners, P.; Ulmer, T.F.; Neumann, U.P.; Lang, S.A. Prognostic evaluation of HCC patients undergoing surgical resection: An analysis of 8 different staging systems. Langenbeck’s Arch. Surg. 2021, 406, 75–86. [Google Scholar] [CrossRef]
  29. Lurje, I.; Czigany, Z.; Bednarsch, J.; Roderburg, C.; Isfort, P.; Neumann, U.P.; Lurje, G. Treatment Strategies for Hepatocellular Carcinoma—A Multidisciplinary Approach. Int. J. Mol. Sci. 2019, 20, 1465. [Google Scholar] [CrossRef] [Green Version]
  30. Johnson, P.J.; Berhane, S.; Kagebayashi, C.; Satomura, S.; Teng, M.; Reeves, H.L.; O’Beirne, J.; Fox, R.; Skowronska, A.; Palmer, D.; et al. Assessment of liver function in patients with hepatocellular carcinoma: A new evidence-based approach-the ALBI grade. J. Clin. Oncol. 2015, 33, 550–558. [Google Scholar] [CrossRef]
  31. Charlson, M.E.; Charlson, R.E.; Peterson, J.C.; Marinopoulos, S.S.; Briggs, W.M.; Hollenberg, J.P. The Charlson comorbidity index is adapted to predict costs of chronic disease in primary care patients. J. Clin. Epidemiol. 2008, 61, 1234–1240. [Google Scholar] [CrossRef] [PubMed]
  32. Clavien, P.A.; Barkun, J.; de Oliveira, M.L.; Vauthey, J.N.; Dindo, D.; Schulick, R.D.; de Santibanes, E.; Pekolj, J.; Slankamenac, K.; Bassi, C.; et al. The Clavien-Dindo classification of surgical complications: Five-year experience. Ann. Surg. 2009, 250, 187–196. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Slankamenac, K.; Graf, R.; Barkun, J.; Puhan, M.A.; Clavien, P.A. The comprehensive complication index: A novel continuous scale to measure surgical morbidity. Ann. Surg. 2013, 258, 1–7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Staiger, R.D.; Cimino, M.; Javed, A.; Biondo, S.; Fondevila, C.; Perinel, J.; Aragao, A.C.; Torzilli, G.; Wolfgang, C.; Adham, M.; et al. The Comprehensive Complication Index (CCI(R)) is a Novel Cost Assessment Tool for Surgical Procedures. Ann. Surg. 2018, 268, 784–791. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Amygdalos, I.; Czigany, Z.; Bednarsch, J.; Boecker, J.; Santana, D.A.M.; Meister, F.A.; von der Massen, J.; Liu, W.J.; Strnad, P.; Neumann, U.P.; et al. Low Postoperative Platelet Counts Are Associated with Major Morbidity and Inferior Survival in Adult Recipients of Orthotopic Liver Transplantation. J. Gastrointest. Surg. 2020, 24, 1996–2007. [Google Scholar] [CrossRef] [PubMed]
  36. Boecker, J.; Czigany, Z.; Bednarsch, J.; Amygdalos, I.; Meister, F.; Santana, D.A.M.; Liu, W.J.; Strnad, P.; Neumann, U.P.; Lurje, G. Potential value and limitations of different clinical scoring systems in the assessment of short- and long-term outcome following orthotopic liver transplantation. PLoS ONE 2019, 14, e0214221. [Google Scholar] [CrossRef] [PubMed]
  37. Fattovich, G.; Stroffolini, T.; Zagni, I.; Donato, F. Hepatocellular carcinoma in cirrhosis: Incidence and risk factors. Gastroenterology 2004, 127, S35–S50. [Google Scholar] [CrossRef]
  38. Nachit, M.; Leclercq, I.A. Emerging awareness on the importance of skeletal muscle in liver diseases: Time to dig deeper into mechanisms! Clin. Sci. 2019, 133, 465–481. [Google Scholar] [CrossRef]
  39. European Association for the Study of the Liver. EASL Clinical Practice Guidelines on nutrition in chronic liver disease. J. Hepatol. 2019, 70, 172–193. [Google Scholar] [CrossRef] [Green Version]
  40. Lee, C.M.; Kang, J. Prognostic impact of myosteatosis in patients with colorectal cancer: A systematic review and meta-analysis. J. Cachexia Sarcopenia Muscle 2020, 11, 1270–1282. [Google Scholar] [CrossRef]
  41. Kroh, A.; Uschner, D.; Lodewick, T.; Eickhoff, R.M.; Schoning, W.; Ulmer, F.T.; Neumann, U.P.; Binnebosel, M. Impact of body composition on survival and morbidity after liver resection in hepatocellular carcinoma patients. Hepatobiliary Pancreat. Dis. Int. 2019, 18, 28–37. [Google Scholar] [CrossRef] [PubMed]
  42. Hamaguchi, Y.; Kaido, T.; Okumura, S.; Kobayashi, A.; Shirai, H.; Yao, S.; Yagi, S.; Kamo, N.; Seo, S.; Taura, K.; et al. Preoperative Visceral Adiposity and Muscularity Predict Poor Outcomes after Hepatectomy for Hepatocellular Carcinoma. Liver Cancer 2019, 8, 92–109. [Google Scholar] [CrossRef] [PubMed]
  43. Takagi, K.; Yagi, T.; Yoshida, R.; Shinoura, S.; Umeda, Y.; Nobuoka, D.; Kuise, T.; Watanabe, N.; Fujiwara, T. Sarcopenia and American Society of Anesthesiologists Physical Status in the Assessment of Outcomes of Hepatocellular Carcinoma Patients Undergoing Hepatectomy. Acta Med. Okayama 2016, 70, 363–370. [Google Scholar] [CrossRef] [PubMed]
  44. Voron, T.; Tselikas, L.; Pietrasz, D.; Pigneur, F.; Laurent, A.; Compagnon, P.; Salloum, C.; Luciani, A.; Azoulay, D. Sarcopenia Impacts on Short- and Long-term Results of Hepatectomy for Hepatocellular Carcinoma. Ann. Surg. 2015, 261, 1173–1183. [Google Scholar] [CrossRef]
  45. Yabusaki, N.; Fujii, T.; Yamada, S.; Suzuki, K.; Sugimoto, H.; Kanda, M.; Nakayama, G.; Koike, M.; Fujiwara, M.; Kodera, Y. Adverse impact of low skeletal muscle index on the prognosis of hepatocellular carcinoma after hepatic resection. Int. J. Surg. 2016, 30, 136–142. [Google Scholar] [CrossRef]
  46. Hausman, G.J.; Basu, U.; Du, M.; Fernyhough-Culver, M.; Dodson, M.V. Intermuscular and intramuscular adipose tissues: Bad vs. good adipose tissues. Adipocyte 2014, 3, 242–255. [Google Scholar] [CrossRef] [Green Version]
  47. Plauth, M.; Bernal, W.; Dasarathy, S.; Merli, M.; Plank, L.D.; Schutz, T.; Bischoff, S.C. ESPEN guideline on clinical nutrition in liver disease. Clin. Nutr. 2019, 38, 485–521. [Google Scholar] [CrossRef] [Green Version]
  48. Carey, E.J.; Lai, J.C.; Sonnenday, C.; Tapper, E.B.; Tandon, P.; Duarte-Rojo, A.; Dunn, M.A.; Tsien, C.; Kallwitz, E.R.; Ng, V.; et al. A North American Expert Opinion Statement on Sarcopenia in Liver Transplantation. Hepatology 2019, 70, 1816–1829. [Google Scholar] [CrossRef]
  49. Bischoff, S.C.; Bernal, W.; Dasarathy, S.; Merli, M.; Plank, L.D.; Schutz, T.; Plauth, M.; Burgos Pelaez, R.; Rivera Irigoin, R. ESPEN Practical Guideline: Clinical nutrition in liver disease. Nutr. Hosp. 2020, 39, 3533–3562. [Google Scholar] [CrossRef]
  50. Chalasani, N.; Younossi, Z.; Lavine, J.E.; Charlton, M.; Cusi, K.; Rinella, M.; Harrison, S.A.; Brunt, E.M.; Sanyal, A.J. The diagnosis and management of nonalcoholic fatty liver disease: Practice guidance from the American Association for the Study of Liver Diseases. Hepatology 2018, 67, 328–357. [Google Scholar] [CrossRef]
  51. Wagner, D.; Buttner, S.; Kim, Y.; Gani, F.; Xu, L.; Margonis, G.A.; Amini, N.; Kamel, I.R.; Pawlik, T.M. Clinical and morphometric parameters of frailty for prediction of mortality following hepatopancreaticobiliary surgery in the elderly. Br. J. Surg. 2016, 103, e83–e92. [Google Scholar] [CrossRef] [PubMed]
  52. Wagner, D.; Marsoner, K.; Tomberger, A.; Haybaeck, J.; Haas, J.; Werkgartner, G.; Cerwenka, H.; Bacher, H.; Mischinger, H.J.; Kornprat, P. Low skeletal muscle mass outperforms the Charlson Comorbidity Index in risk prediction in patients undergoing pancreatic resections. Eur. J. Surg. Oncol. 2018, 44, 658–663. [Google Scholar] [CrossRef] [PubMed]
  53. Lai, Q.; Magistri, P.; Lionetti, R.; Avolio, A.W.; Lenci, I.; Giannelli, V.; Pecchi, A.; Ferri, F.; Marrone, G.; Angelico, M.; et al. Sarco-Model: A score to predict the dropout risk in the perspective of organ allocation in patients awaiting liver transplantation. Liver Int. 2021, 41, 1629–1640. [Google Scholar] [CrossRef] [PubMed]
Cancers 14 00720 g001 550
Figure 1. Study design. Patients undergoing curative-intent surgery for HCC were analysed. Sarcopenic and myosteatotic patients were identified using CT-based segmentation at the level of the third lumbar vertebra. This figure was created with BioRender.com. Abbreviations used: MRI: magnetic resonance imaging; OS: overall survival; DFS: disease-free survival; CT: computed tomography; HCC: hepatocellular carcinoma; L3: third lumbar vertebrae; BMI: body mass index; HU: hounsfield units; SMI: skeletal muscle index; SM-RA: skeletal muscle radiation attenuation.
Figure 1. Study design. Patients undergoing curative-intent surgery for HCC were analysed. Sarcopenic and myosteatotic patients were identified using CT-based segmentation at the level of the third lumbar vertebra. This figure was created with BioRender.com. Abbreviations used: MRI: magnetic resonance imaging; OS: overall survival; DFS: disease-free survival; CT: computed tomography; HCC: hepatocellular carcinoma; L3: third lumbar vertebrae; BMI: body mass index; HU: hounsfield units; SMI: skeletal muscle index; SM-RA: skeletal muscle radiation attenuation.
Cancers 14 00720 g001
Cancers 14 00720 g002 550
Figure 2. Overall and disease-free survival stratified by myosteatosis and sarcopenia. (A) Five-year survival of myosteatotic and non-myosteatotic patients. (B) Recurrence-free survival of myosteatotic and non-myosteatotic patients. (C) Five-year survival of sarcopenic and non-sarcopenic patients. (D) Recurrence-free survival of sarcopenic and non-sarcopenic patients.
Figure 2. Overall and disease-free survival stratified by myosteatosis and sarcopenia. (A) Five-year survival of myosteatotic and non-myosteatotic patients. (B) Recurrence-free survival of myosteatotic and non-myosteatotic patients. (C) Five-year survival of sarcopenic and non-sarcopenic patients. (D) Recurrence-free survival of sarcopenic and non-sarcopenic patients.
Cancers 14 00720 g002
Table
Table 1. Patient characteristics.
Table 1. Patient characteristics.
CharacteristicsAll PatientsMyosteatosisSarcopeniap-Value
n = 100no n = 40yes n = 60no n = 46yes n = 54
Patient age (years)67 ± 1164 ± 1470 ± 866 ± 1168 ± 110.056/0.354
Patient BMI26 ± 426 ± 326 ± 529 ± 424 ± 30.822/0.000
Patient sex ratio (F:M)28:7210 (25):30 (75)18 (30):42 (70)10 (22):36 (78)18 (33):36 (67)0.585/0.198
ASA
121 (3)1 (2)02 (4)0.771/0.187
23319 (47)14 (23)17 (37)16 (30)0.012/0.437
35919 (47)40 (67)26 (56)33 (61)0.056/0.462
461 (3)5 (8)3 (7)3 (6)0.229/0.839
Patient CCi 6.2 ± 1.55.8 ± 1.66.4 ± 1.36.1 ± 1.46.2 ± 1.60.079/0.716
Preoperative labMELD8 ± 37 ± 19 ± 38 ± 38 ± 20.126/0.509
Milan criteria2212 (30)10 (17)14 (30)8 (15)0.089/0.069
Cirrhosis 4217 (43)25 (42)20 (44)22 (41)0.990/0.710
Liver disease
Alcoholic285 (13)23 (38)8 (17)20 (37)0.005/0.029
NAFLD 3814 (35)24 (40)20 (43)18 (33)0.614/0.298
Viral2517 (42)8 (14)15 (33)10 (18)0.001/0.105
Other 94 (10)5 (8)3 (7)6 (12)0.775/0.424
Preoperative Hb (g/dL)13.2 ± 1.613.3 ± 213.1 ± 1.213.3 ± 1.913.1 ± 1.30.180/0.141
Preoperative PT (%)92.4 ± 14.795 ± 12.990.8 ± 15.691.9 ± 14.992.8 ± 14.80.122/0.868
Preoperative AFP (µg/L)2400 ± 97352693 ± 120062186 ± 79212655 ± 103592047 ± 90390.172/0.316
Preoperative Platelets (G/l)247 ± 119239 ± 103251 ± 129231 ± 91259 ± 1380.766/0.534
Preoperative AST (U/L)54 ± 3749 ± 2857 ± 4059 ± 3851 ± 350.618/0.362
Preoperative ALT (U/L)47 ± 4645 ± 4248 ± 4946 ± 4348 ± 490.680/0.673
Preoperative GGT (U/L)170 ± 164134 ± 135193 ± 177157 ± 170181 ± 1590.060/0.260
Preoperative Albumin (g/L)38 ± 1043 ± 536 ± 1138 ± 938 ± 100.001/0.794
ALBI
Grade 1 7333 (83)40 (66)31 (68)42 (77)0.081/0.244
Grade 2 247 (17)17 (29)14 (30)10 (19)0.214/0.164
Grade 3 303 (5)1 (2)2 (4)0.151/0.655
SMI (cm2/m2)
All 45 ± 948 ± 846 ± 1053 ± 740 ± 60.079/0.000
Female 37 ± 539 ± 436 ± 542 ± 234 ± 40.191/0.000
Male 49 ± 8 51 ± 648 ± 956 ± 443 ± 50.209/0.000
SM-RA (HU)
All 33 ± 1042 ± 527 ± 733 ± 1032 ± 100.000/0.561
Female 34 ± 1146 ± 528 ± 635 ± 1334 ± 90.000/0.869
Male32 ± 1040 ± 526 ± 733 ± 931 ± 100.000/0.424
Preoperative Therapy
PVE65 (13)1 (2)4 (9)2 (4)0.025/0.295
Sorafenib1 01 (2)01 (2)0.412/0.354
TACE74 (10)3 (5)4 (10)3 (5)0.337/0.540
TARE303 (5)1 (2)2 (4)0.151/0.655
Surgical Procedure
Atypical/Non-Anatomic. 2410 (25)14 (23)14 (30)10 (19)0.848/0.164
Segmentectomy 20 9 (22)11 (18)9 (20)11 (20)0.610/0.920
Bisegementectomy 6 1 (3)5 (8)3 (7)3 (6)0.229/0.839
Hemihepatectomy 2510 (25)15 (25)11 (24)14 (26)1.000/0.817
Extended resection257 (17)13 (22) 4 (9)16 (29) 0.610/0.009
ALPPS 21 (3)1 (2)2 (4)00.771/0.122
Other32 (5)1 (2)3 (6)00.338/0.057
Laparoscopic Procedure 219 (22)12 (20)9 (20)12 (22)0.836/0.788
Tumor Stage UICC
I3616 (40)20 (33)18 (39)17 (31)0.669/0.424
II3514 (35)21 (35)16 (35)19 (35)1.000/0.966
IIIa186 (15)12 (20)8 (18)10 (19)0.524/0.884
IIIb51 (2.5)4 (7)2 (4)3 (6)0.349/0.782
IIIc21 (2.5)1 (2)02 (3)0.771/0.187
IVa31 (2.5)2 (3)2 (4)1 (2)0.811/0.466
IVb 11 (2.5)001 (2)0.218/0.354
Tumor Grading
G142 (5)2 (3)3 (6)1 (2)0.677/0.235
G27730 (75)47 (78)34 (74)43 (80)0.698/0.498
G3198 (20)11 (19)9 (20)10 (18)0.835/0.894
Microvascular Invasion5218 (45)34 (57)22 (48)30 (56)0.149/0.476
Largest Tumor Diameter (mm)72 ± 4164 ± 3077 ± 4864 ± 3579 ± 450.317/0.067
Number of Tumors 1.9 ± 1.31.8 ± 1.51.9 ± 1.31.7 ± 1.32 ± 1.40.268/0.076
R0 Resection8534 (85)51 (85)41 (89)44 (82)0.840/0.384
Values were given as mean ± standard deviation or numbers and (percent). Abbreviations used: BMI: body mass index; ASA: American Society of Anesthesiologists; MELD: model for end-stage liver disease; AFP: alphafetoprotein; AST: aspartate aminotransferase; ALT: alanine aminotransferase; CCi: Charlson Comorbidity Index; NAFLD: non-alcoholic fatty liver disease; GGT: gamma glutamyltransferase; SMI: skeletal muscle index; SM-RA (HU): skeletal muscle radiation attenuation Hounsfield units; PVE: portal venous embolization; TACE: transarterial chemoembolization; TARE: transarterial radioembolization; ALPPS: associating liver partition with portal vein ligation for staged hepatectomy; UICC: Union for International Cancer Control.
Table
Table 2. Major morbidity and 90-day mortality.
Table 2. Major morbidity and 90-day mortality.
In-Hospital Morbidity CD ≥ 3b & (CD5) 190-Day Mortality
after Discharge & (in Total)
Sepsis10 (5)1 (6)
Cardiac/pulmonary 4 (0)1 (1)
Hemorrhage1 (1)0 (1)
Post-hepatectomy liver failure2 (2)0 (2)
Domestic death/reason unknownnot applicable4 (4)
Total17 (8)6 (14)
1 Refers to Clavien et al. [32]; abbreviations used: CD: Clavien–Dindo classification.
Table
Table 3. Perioperative outcome stratified by body composition.
Table 3. Perioperative outcome stratified by body composition.
All PatientsNoYesp-Value
Myosteatosisn = 100n = 40n = 60
≥CD3b morbidity 1 n (%)17 (17)2 (5)15 (25)0.007
Hospital stay (days)14 ± 1313 ± 1015 ± 150.380
Intraoperative RBC transfusion (units)1 ± 1.80.3 ± 0.81.4 ± 2.10.002
Intraoperative FFP transfusion (units)2 ± 2.71.6 ± 2.52.3 ± 2.80.263
CCI 221 ± 8917 ± 2424 ± 320.689
Cost estimation (TEuro) 313.4 ± 7.612.2 ± 5.914.3 ± 8.50.383
Sarcopenian = 100n = 46n = 54
≥CD3b morbidity n (%)17 (17)9 (20)8 (15)0.529
Hospital stay (days)14 ± 1314 ± 1315 ± 140.560
Intraoperative RBC transfusion (units)1 ± 1.80.3 ± 11.6 ± 2.20.000
Intraoperative FFP transfusion (units)2 ± 2.71.6 ± 2.22.4 ± 30.341
CCI21 ± 8923 ± 3220 ± 260.724
Cost estimation (TEuro)13.4 ± 7.614 ± 8.413 ± 6.80.626
1 Refers to Clavien et al. [32] 2 Refers to Slankamenac et al. [33] 3 Refers to Staiger et al. [34]. Abbreviations used: CD: Clavien-Dindo classification, ICU: intensive care unit, RBC: red blood cell units, FFP: fresh frozen plasma units, CCI: Comprehensive Complication Index, TEuro: thousand Euros.
Table
Table 4. Uni- and multivariable logistic regression analysis for 90-day major morbidity (Clavien–Dindo ≥ 3b).
Table 4. Uni- and multivariable logistic regression analysis for 90-day major morbidity (Clavien–Dindo ≥ 3b).
Univariable AnalysisMultivariable Analysis
Major Complications
(CD ≥ 3b) 1 n = 17		No/Minor Complications
(CD0-3a) 1 n = 83		Odds-Ratio (95% Confidence Interval)p ValueOdds-Ratio (95% Confidence Interval)p Value
Age ≥ 65 years12 (71)53 (64)1.358 (0.437–4.228)0.597
BMI ≥ 2516 (94)48 (58)0.820 (0.288–2.338)0.711
Sex Male16 (94)56 (68)7.714 (0.972–61.246)0.05310.477 (1.210–90.705)0.033
ASA ≥ 312 (71)53 (64)1.358 (0.437–4.228)0.598
Cirrhosis yes10 (59)32 (39)2.232 (0.771–6.4620.139
Milan yes2 (12)20 (24)2.281 (0.473–11.000)0.304
Preoperative albumin cutoff 4011 (65)31 (37)3.075 (1.034–9.143)0.0432.767 (0.763–10.033)0.122
Largest tumor diameter ≥ 50 mm 13 (77)52 (63)1.750 (0.521–5.875)0.365
Multinodular tumor yes7 (41)31 (37)1.084 (0.373–3.148)0.882
Macrovascular invasion yes5 (29)18 (22)1.296 (0.402–4.179)0.664
Preoperative TACE yes1 (6)6 (7)0.802 (0.090–7.127)0.834
Preoperative PVE yes1 (6)5 (6)0.975 (0.107–8.918)0.982
Intraoperative FFP yes10 (59)33 (40)2.176 (0.723–6.496)0.166
Intraoperative RBC yes7 (41)25 (30)1.804 (0.605–5.385)0.290
Extended Resection yes2 (12)18 (22)0.481 (0.101–2.303)0.360
Duration Surgery ≥ 210 min12 (71)35 (42)3.291 (1.063–10.195)0.0395.385 (1.476–19.650)0.011
Laparoscopic procedure1 (6)20 (24)0.194 (0.024–1.554)0.122
Sarcopenia (SMI) Yes8 (47)46 (55)0.715 (0.251–2.035)0.530
Myosteatosis (SM-RA) Yes15 (88)45 (54)6.333 (1.361–29.463)0.0196.184 (1.184–32.305)0.031
Values were given as mean ± standard deviation or numbers and (percent). Results of the logistic regression were given as odds ratios with 95% confidence interval. 1 Refers to Clavien et al. [32] Abbreviations used: BMI: Body mass index; ASA: American Society of Anesthesiologists; TACE: transarterial chemoembolization; PVE: portal venous embolization; FFP: fresh frozen plasma; RBC: red blood cell unit; SMI: skeletal muscle index; SM-RA (HU): skeletal muscle radiation attenuation Hounsfield units.
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Meister, F.A.; Lurje, G.; Verhoeven, S.; Wiltberger, G.; Heij, L.; Liu, W.-J.; Jiang, D.; Bruners, P.; Lang, S.A.; Ulmer, T.F.; et al. The Role of Sarcopenia and Myosteatosis in Short- and Long-Term Outcomes Following Curative-Intent Surgery for Hepatocellular Carcinoma in a European Cohort. Cancers 2022, 14, 720. https://doi.org/10.3390/cancers14030720

AMA Style

Meister FA, Lurje G, Verhoeven S, Wiltberger G, Heij L, Liu W-J, Jiang D, Bruners P, Lang SA, Ulmer TF, et al. The Role of Sarcopenia and Myosteatosis in Short- and Long-Term Outcomes Following Curative-Intent Surgery for Hepatocellular Carcinoma in a European Cohort. Cancers. 2022; 14(3):720. https://doi.org/10.3390/cancers14030720

Chicago/Turabian Style

Meister, Franziska Alexandra, Georg Lurje, Suekran Verhoeven, Georg Wiltberger, Lara Heij, Wen-Jia Liu, Decan Jiang, Philipp Bruners, Sven Arke Lang, Tom Florian Ulmer, and et al. 2022. "The Role of Sarcopenia and Myosteatosis in Short- and Long-Term Outcomes Following Curative-Intent Surgery for Hepatocellular Carcinoma in a European Cohort" Cancers 14, no. 3: 720. https://doi.org/10.3390/cancers14030720

APA Style

Meister, F. A., Lurje, G., Verhoeven, S., Wiltberger, G., Heij, L., Liu, W. -J., Jiang, D., Bruners, P., Lang, S. A., Ulmer, T. F., Neumann, U. P., Bednarsch, J., & Czigany, Z. (2022). The Role of Sarcopenia and Myosteatosis in Short- and Long-Term Outcomes Following Curative-Intent Surgery for Hepatocellular Carcinoma in a European Cohort. Cancers, 14(3), 720. https://doi.org/10.3390/cancers14030720

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