Abstract
Background
It is widely known that muscle mass influences the outcomes of many chronic diseases. Erector spine mass is a convenient parameter obtained from routine abdominal computed tomography (CT). The clinical application value of erector spine mass, and whether erector spine mass could predict the outcome of disease has not been studied.
Aim
To evaluate the role of the erector spine index (ESI) calculated based on abdominal CT imaging in the progression of acute-on-chronic liver failure related to the hepatitis B virus (HBV-ACLF).
Methods
We performed a retrospective study of 118 HBV-ACLF patients and calculated the ESI (the total erector spine area normalized for height2 in meters) for each patient through abdominal CT. The findings were analyzed regarding the progression of HBV-ACLF and the ESI at baseline, including mortality and the development of complications.
Results
The ESI level was associated with mortality and the development of complications. During the 90-day follow-up period, patients with a low ESI (<12.05 cm2/m2) had higher mortality than those with a high ESI (≥ 12.05 cm2/m2) (51.7% vs. 26.7%), and the cumulative survival rates were 71.0%±4.6 and 85.8%±3.9, respectively (log-rank P = 0.003). The hazard ratios (HRs) calculated using univariable and multivariable analyses were 2.23(95% confidence interval (CI): 1.25–4.21, P = 0.005) and 2.52 (95% CI: 1.34–9.24, P = 0.011), respectively. Patients with a low ESI (<12.05 cm2/m2) had higher incidences of kidney dysfunction (43.5% vs. 23.2%, P = 0.029; log-rank P = 0.017) and hepatic encephalopathy (39.6% vs. 14.0%, P = 0.003; log-rank P = 0.010) than those with a high ESI. A low ESI was an independent risk factor for kidney dysfunction (adjusted HR = 1.36, 95% CI: 1.05–2.93, P = 0.043) and the development of hepatic encephalopathy (adjusted HR = 2.26; 95% CI: 2.05–3.13, P = 0.036). In addition, the presence of hepatic encephalopathy (the odds ratio (OR) = 2.26, 95% CI: 2.05–3.18, P = 0.006), spontaneous bacterial peritonitis (OR = 3.95, 95% CI: 1.01–5.46, P = 0.037), and kidney dysfunction (OR = 4.47, 95% CI: 1.02–9.64, P = 0.032) was independently associated with a low ESI in patients.
Conclusion
A low ESI is an independent risk factor for mortality in patients with HBV-ACLF, as well as the development of kidney dysfunction and hepatic encephalopathy.
Supplementary Information
The online version contains supplementary material available at 10.1186/s12876-023-02995-x.
Keywords: Erector spine mass, Prognosis, Liver Failure, Hepatic encephalopathy, Kidney dysfunction
Introduction
Sarcopenia is commonly found among patients with cirrhosis, with a prevalence rate of roughly 29-37.5%, and is gaining increasing attention [1, 2]. Loss of muscle mass, as the phenotypic representation of sarcopenia, is disadvantageous for prognosis in these patients [3, 4]. This loss of muscle mass is associated with the development of acute-on-chronic liver failure (ACLF) and influences post-liver transplantation survival for ACLF patients [5–7]. Accurate methods to assess muscle mass in patients include bioelectrical impedance analysis and dual-energy X-ray absorptiometry, which are dependent on specialized equipment and are costly. Measures of muscle mass by cross-sectional imaging are reasonable and convenient because routine screening of computed tomography (CT) or magnetic resonance imaging (MRI) is necessary for patients with liver disease [8–10]. Commonly used measurement objects included the psoas area, psoas muscle thickness, lumbar muscle area located at the third lumbar vertebra (L3), and skeletal muscles of the extremities [11, 12]. Few studies have focused on erector spine mass, and growing evidence suggests that more indicators could be established for the comprehensive assessment of sarcopenia in cirrhotic patients [13]. We aimed to evaluate the role of erector spine mass located at the upper lumbar vertebra in the development of acute-on-chronic liver failure related to hepatitis B virus (HBV-ACLF) using erector spine area/height2.
Materials and methods
Study population
For this study, we included HBV-ACLF patients from the National Twelve Five-Year Science and Technology Major Project of China (ChiCTR-TRC-00000766), which prospectively enrolled HBV-ACLF patients in a follow-up program [14]. A prospective study was conducted from November 31, 2012, to December 31, 2014. All patients were recruited from the 5th Medical Center of Chinese PLA General Hospital. ACLF due to autoimmunity, drugs, alcohol, toxins, hepatocellular carcinoma, or parasites were excluded. The patients received treatment included nucleos(t)ide analogs, antibiotics, liver dialysis, or liver transplantation. Drawing from available data records, the primary endpoint was 90-day free-transplant mortality resulting from HBV-ACLF after enrollment and secondary endpoints were the development of complications, including overt hepatic encephalopathy, kidney dysfunction, and in-hospital infection, during follow-up. The patients who underwent abdominal cross-sectional imaging either 3 days prior or up to 3 days after enrollment and 90-day follow-up time were included. Patients who underwent liver dialysis or transplantation and those lacking key information or records were excluded from our study. Finally, 118 patients with HBV-ACLF were analyzed.
HBV-ACLF was defined as both ACLF and chronic liver disease due to hepatitis B virus infection. ACLF was defined according to the Asian Pacific Association for the Study of the Liver guideline [15]. The diagnostic criteria were (1) serum bilirubin ≥ 5 mg/dL, (2) international normalized ratio (INR) ≥ 1.5 or prothrombin activity ≤ 40%, and (3) ascites and/or encephalopathy as determined by physical examination. Chronic hepatitis B virus infection was diagnosed according to HBsAg positivity for more than 6 months.
Kidney dysfunction was defined as serum creatinine levels of 1.2 mg/dL or more [16]. The diagnosis of hepatic encephalopathy was made according to the West Haven classification. Spontaneous bacterial peritonitis (SBP) was defined as (1) ascites polymorphonuclear cell count ≥ 0.25 × 109/L; (2) positive ascites bacterial culture; and (3) procalcitonin > 0.5 ng/mL, and infection of other sites was excluded [17]. In-hospital infection was defined as emerging infections regardless of the location identified 48 h after admission. Biochemical blood analyses were performed using standard laboratory tests.
Image acquisition and assessment of muscle parameters
CT examinations were performed for regular screening or surveillance of hepatocellular carcinoma. Images were acquired with a 64-section CT scanner (GE, Lightspeed). Imaging parameters were as follows: non-contrast-enhanced; section thickness, 5 mm; 5 mm interval; tube voltage, 120 kV; and tube current, approximately 290 mA.
We analyzed the transversal erector spine index (ESI) and skeletal muscle index (SMI) at L3 in cross-sectional images. Using the CT positioning line function of the workstation, we located the corresponding axial level image according to the upper and lower boundaries at the 1st lumbar vertebra (L1) on the CT positioning images, manually outlined the complete range of the erector spine as the area of interest as the Hounsfield unit (HU) thresholds of − 29 to + 150 were used for the skeletal muscle [18], measured its area through the image workstation software (GE AW4.6), averaged the measurement 3 times to reduce the error, recorded the average value as the total erector spine area, and normalized for height2 (in meters) to calculate ESI (Fig. 1). The method used to calculate SMI was described in a previous study [19]. The assessments were performed independently by 2 hepatologists who had been trained by an expert radiologist. A third imaging physician was involved in reaching a consensus whenever disagreement arose.
Statistics
Continuous variables were expressed as the mean ± standard deviation (SD) or medians and ranges, while categorical variables were expressed as frequencies and percentages. Univariable analyses included Student’s t-test for pairwise comparisons of parametric data distributions, the Mann–Whitney U test for pairwise comparisons of nonparametric distributions, and chi-square tests for comparisons of categorical variables. Binary logistic regression with forward elimination was used to evaluate independent factors with ESI. Kaplan–Meier curves were used to illustrate cumulative rates of survival, hepatic encephalopathy, kidney dysfunction, and in-hospital infection, and differences were assessed by the log-rank test. The association of risk factors with mortality and the development of complications was assessed by univariable and multivariable Cox proportional hazards regression models. The choice of variables for the multivariable analysis was based on the results of univariable analysis and clinical correlation. Cox proportional hazards regression was used for group comparisons of mortality. Pearson correlation analysis was used for the correlation of ESI with SMI. The area under the receiver operating characteristic curve (ROC) was plotted, and ROC analysis was performed based on the ESI and SMI. P < 0.05 was considered statistically significant for all tests. All statistical analyses were performed using IBM SPSS Statistics 20 (SPSS Inc.), and GraphPad Prism version 9 was used to create figures.
Ethics
Our study was approved by the local institutional review board, and study procedures were performed following the Declaration of Helsinki’s ethical principles for medical research involving human subjects. Informed consent was obtained from all patients to be included in the study.
Results
General patient characteristics
In this study, 118 patients with HBV-ACLF were included. Of these patients, 104 (88.1%) were men. The average age was 41.3 ± 10.7 years. The average level of HBV DNA was 3.2 ± 2.2 log10 IU/ml. The average model for end-stage liver disease (MELD) score and MELD-sodium (MELD-Na) score were 27.4 ± 6.8 and 30.4 ± 9.4, respectively. The potential precipitating event included discontinuance of nucleos(t)ide analogs for 36 patients who had taken entecavir or adefovir combined with lamivudine, the resistance of nucleos(t)ide analogs for 9 patients who had taken lamivudine or telbivudine, and severe acute attack for 34 patients who had not previously received nucleos(t)ide analogs. There was no record of identified precipitating for 39 patients. All patients received entecavir (92.4%) or a combination of entecavir and adefovir (7.6%) after onset. The presence of ascites, SBP, kidney dysfunction, hyponatremia, respiratory infections, and hepatic encephalopathy at baseline was 89.8%, 21.2%, 13.5%, 42.4%, 14.4%, and 11.0%, respectively. Besides the infections located in the abdominal and pulmonary, infections involved in the urinary system, gastrointestinal tract, and unknown locations were 16.1%. The average ESI was 12.6 ± 3.8 cm2/m2. Laboratory parameters, such as serum albumin, bilirubin, creatinine, INR, and white blood cell count, were shown in detail in Table 1.
Table 1.
Parameters | All patients(n = 118) | ESI (cm2/m2) | P value | ||||
---|---|---|---|---|---|---|---|
<12.05 (n = 58) | ≥ 12.05 (n = 60) | ||||||
Demographic | |||||||
Age (years) | 42.9 ± 10.7 | 43.8 ± 11.8 | 42.2 ± 9.5 | 0.420 | |||
Male, n (%) | 104(88.1) | 52(89.7) | 52(86.7) | 0.616 | |||
ESI (cm2/m2) | 12.6 ± 3.8 | 11.3 ± 4.0 | 13.5 ± 3.4 | 0.026 | |||
Laboratory indicators | |||||||
Albumin (g/L) | 30.2 ± 4.4 | 29.1 ± 5.1 | 32.2 ± 6.7 | 0.069 | |||
Globulin (g/L) | 25.9 ± 7.4 | 26.1 ± 8.1 | 25.7 ± 6.8 | 0.849 | |||
Bilirubin (mg/dL) | 20.1 ± 7.7 | 21.0 ± 8.3 | 19.2 ± 7.1 | 0.377 | |||
ALT (U/L) | 132(13-2329) | 153(94–349) | 117(38–496) | 0.423 | |||
AST (U/L) | 166(47-1500) | 208(134–349) | 116(77–400) | 0.243 | |||
GGT (U/L) | 64(15–231) | 63(45–95) | 68(37–103) | 0.846 | |||
Creatinine (µmol/L) | 97.1 ± 17.0 | 98.6 ± 19.8 | 95.7 ± 14.3 | 0.526 | |||
INR | 3.1 ± 0.5 | 2.1 ± 0.4 | 4.1 ± 0.6 | 0.172 | |||
WBC (×109/L) | 7.0 ± 4.9 | 7.9 ± 6.4 | 6.2 ± 2.8 | 0.186 | |||
Hemoglobin (g/L) | 119 ± 23 | 117 ± 24 | 120 ± 22 | 0.564 | |||
Platelet count (×109/L) | 85 ± 42 | 76 ± 33 | 93 ± 48 | 0.125 | |||
Serum ammonia (mmol/L) | 65.8 ± 22.4 | 69.1 ± 25.8 | 62.4 ± 18.2 | 0.030 | |||
HBV DNA (log10 IU/ml) | 3.2 ± 2.2 | 3.0 ± 2.1 | 3.3 ± 2.3 | 0.643 | |||
MELD | 27.4 ± 6.8 | 28.2 ± 8.7 | 26.6 ± 3.7 | 0.365 | |||
MELD-Na | 30.4 ± 9.4 | 30.7 ± 7.9 | 30.2 ± 10.8 | 0.837 | |||
Complications at baseline | |||||||
Ascites, n (%) | 106(89.8) | 54(93.1) | 52(86.7) | 0.247 | |||
SBP, n (%) | 25(21.2) | 18(31.0) | 7(11.7) | 0.010 | |||
Kidney dysfunction, n (%) | 16(13.5) | 12(20.7) | 4(6.7) | 0.026 | |||
Hepatic encephalopathy, n (%) | 13(11.0) | 10(17.2) | 3(5.0) | 0.034 | |||
Respiratory infections, n (%) | 17(14.4) | 9(15.5) | 8(13.3) | 0.736 | |||
Hyponatremia, n (%) | 50(42.4) | 26(44.8) | 24(40.0) | 0.596 | |||
Other types of infection, n (%) | 19(16.1) | 10(17.2) | 9(15.0) | 0.741 |
Abbreviations. ESI: erector spine index, ALT: alanine transaminase, AST: aspartate transaminase, GGT: γ-glutamyl transferase, INR: international normalized ratio, WBC: white blood cell count, MELD: model for end-stage liver disease, MELD-Na: MELD-Sodium, SBP: spontaneous bacterial peritonitis
All patients were followed up to 90 days after enrollment. The free-transplant mortality was 39.0%, and the rates of new-onset kidney dysfunction, hepatic encephalopathy, and in-hospital infection were 32.4%, 25.7%, and 68.8%, respectively (Table 2). The in-hospital infections primarily included SBP, respiratory infections, and other types of infections, and the details were shown (Supplementary Table 1). Other types of infections in this study referred to conditions beyond those of abdominal and pulmonary and involved the urinary and gastrointestinal systems, as well as unlocated infections.
Table 2.
Outcomes | All patients(n = 118) | ESI (cm2/m2) | P value | |
---|---|---|---|---|
<12.05 (n = 58) | ≥ 12.05 (n = 60) | |||
Mortality, n (%) | 46(39.0) | 30(51.7) | 16(26.7) | 0.005 |
Development of kidney dysfunction, n (%)a | 33(32.4) | 20(43.5) | 13(23.2) | 0.029 |
Development of hepatic encephalopathy, n (%)b | 27(25.7) | 19(39.6) | 8(14.0) | 0.003 |
Development of in-hospital infection, n (%)c | 53(68.8) | 27(75.0) | 26(63.4) | 0.273 |
Abbreviations. ESI: erector spine index. a: Except for 16 patients with kidney dysfunction at baseline including 12 in the group with ESI<12.05 cm2/m2 and 4 in the group with ESI ≥ 12.05 cm2/m2; b: Except for 13 patients with hepatic encephalopathy at baseline including 10 in group with ESI<12.05 cm2/m2 and 3 in group with ESI ≥ 12.05 cm2/m2; c: Except for 41 patients with in-hospital infection at baseline including 22 in group with ESI<12.05 cm2/m2 and 19 in group with ESI ≥ 12.05 cm2/m2
Correlation of ESI with baseline characteristics
According to the median of ESI (12.05 cm2/m2), the patients were classified into two groups to evaluate the factors associated with erector spine mass in HBV-ACLF patients. The cut-off value of ESI calculated through ROC was 12.06 cm2/m2, which closely approximated the median. The baseline characteristics between the two groups were compared in Table 1. Patients with ESI<12.05 cm2/m2 (n = 58) showed a higher level of serum ammonia (P = 0.030) than those patients with ESI ≥ 12.05 cm2/m2 (n = 60). There was no significant difference in age, MELD score, MELD-Na score, or other laboratory indicators. Further binary logistic regression analysis was used to determine factors independently associated with ESI (Table 3). The presence of hepatic encephalopathy (the odds ratio (OR) = 2.26, 95% confidence interval (CI): 2.05–3.18; P = 0.006), SBP (OR = 3.95, 95% CI: 1.01–5.46; P = 0.037), and kidney dysfunction (OR = 4.47, 95% CI: 1.02–9.64; P = 0.032) were independently associated with low ESI in HBV-ACLF patients.
Table 3.
Parameters | Univariate analysis | Multivariate analysis | |||||||
---|---|---|---|---|---|---|---|---|---|
OR | 95% CI | P value | OR | 95% CI | P value | ||||
Age, per year | 1.01 | 0.97–1.07 | 0.566 | ||||||
Gender (male vs. female‡) | 1.33 | 0.27–6.56 | 0.723 | ||||||
Bilirubin, per 1 mg/dl | 1.03 | 0.96–1.11 | 0.372 | ||||||
Albumin, per 1 g/L | 0.89 | 0.78–1.01 | 0.076 | ||||||
Creatinine, per 1 µmol/L | 1.01 | 0.98–1.04 | 0.520 | ||||||
INR, per 1 unit | 0.84 | 0.48–1.47 | 0.543 | ||||||
ALT, per 1 U/L | 1.00 | 1.00–1.00 | 0.223 | ||||||
AST, per 1 U/L | 1.00 | 1.00–1.00 | 0.597 | ||||||
GGT, per 1 U/L | 1.00 | 0.99–1.01 | 0.673 | ||||||
Hemoglobin, per 1 g/L | 0.99 | 0.97–1.02 | 0.557 | ||||||
Serum Ammonia, per 1 mmol/L | 0.99 | 0.96–1.01 | 0.986 | ||||||
Hepatic encephalopathy (yes vs.no‡) | 4.17 | 1.15–5.04 | 0.029 | 2.26 | 2.05–3.18 | 0.006 | |||
Sepsis (yes vs.no‡) | 0.90 | 0.30–2.69 | 0.850 | ||||||
SBP (yes vs.no‡) | 2.87 | 0.99–8.37 | 0.053 | 3.95 | 1.01–5.46 | 0.037 | |||
Ascites (yes vs.no‡) | 1.60 | 0.61–2.24 | 0.127 | ||||||
Respiratory infections (yes vs.no‡) | 1.24 | 0.40–3.83 | 0.711 | ||||||
Kidney dysfunction (yes vs.no‡) | 3.11 | 1.06–9.18 | 0.040 | 4.47 | 1.02–9.64 | 0.032 | |||
MELD, per 1 unit | 1.01 | 0.98–1.23 | 0.794 | ||||||
MELD-Na, per 1 unit | 1.01 | 0.95–1.06 | 0.835 |
‡: reference value. Abbreviations. OR: odds ratio, CI: confidence interval, INR: international normalized ratio, ALT: alanine transaminase, AST: aspartate transaminase, GGT: γ-glutamyl transferase, HE: hepatic encephalopathy, SBP: spontaneous bacterial peritonitis, MELD: model for end-stage liver disease, MELD-Na: MELD-Sodium.
Impact of ESI on the free-transplant mortality of HBV-ACLF patients
During the 90-day follow-up period, 30 of 58 (51.7%) patients with a low ESI and 16 of 60 (26.7%) patients with a high ESI died(P = 0.005) (Table 2). Kaplan-Meier survival analysis was conducted, and the cumulative survival rates were 71.0%±4.6 and 85.8%±3.9, respectively (log-rank P = 0.003) (Fig. 2A). The hazard ratio (HR) calculated using univariable analysis was 2.23(95% CI: 1.25–4.21; P = 0.005) and further multivariable analyses showed that a low ESI increased the risk for death dependently (adjusted HR = 2.52; 95% CI: 1.34–9.24; P = 0.011) (Table 4). The details about the comparison between the survival patients with the deceased patients and the multiple analysis were provided in Supplementary Table 2 and Table 1, respectively.
Table 4.
Outcomes | ESI (cm2/m2) | No. of events (%) | Univariate analysis | Multivariate analysis* | |||
---|---|---|---|---|---|---|---|
HR (95% CI) | P value | HR (95% CI) | P value | ||||
Mortality | ESI<12.05 | 30(51.7) | 2.23(1.25–4.21) | 0.005 | 2.52(1.34–9.24) d | 0.011 | |
ESI ≥ 12.05‡ | 16(26.7) | 1.00 | 1.00 | ||||
Kidney dysfunction | ESI<12.05 | 20(43.5) | 1.47(1.01–2.15) | 0.017 | 1.36(1.05–2.93) e | 0.043 | |
ESI ≥ 12.05‡ | 13(23.2) | 1.00 | 1.00 | ||||
Hepatic encephalopathy | ESI<12.05 | 19(39.6) | 2.54(1.21–5.31) | 0.014 | 2.26(2.05–3.13) f | 0.036 | |
ESI ≥ 12.05‡ | 8(14.0) | 1.00 | 1.00 | ||||
In-hospital infection | ESI<12.05 | 27(75.0) | 1.47(0.94–2.31) | 0.090 | 1.62(0.6–3.08) g | 0.138 | |
ESI ≥ 12.05‡ | 26(63.4) | 1.00 | 1.00 |
‡: reference value. *: The choice of variables for the multivariable analysis was based on the results of univariable analysis and clinical correlation. d: HR adjusted by age, serum bilirubin, INR, hepatic encephalopathy, hyponatremia, and kidney dysfunction; e: HR adjusted by age, serum albumin, serum bilirubin; f: HR adjusted by serum albumin, serum bilirubin, INR, serum ammonia; g: HR adjusted by age, serum albumin, serum bilirubin, INR, presence of ascites at baseline. Abbreviations. ESI: erector spine index, HR: hazard ratio, CI: confidence interval, INR: international normalized ratio
Impact of ESI on the development of kidney dysfunction, hepatic encephalopathy, and in-hospital infection
In the study, there were 102 patients with the absence of kidney dysfunction at baseline. Among these patients, 20 of 46 (43.5%) patients with a low ESI and 13 of 56 (23.2%) patients with a high ESI developed kidney dysfunction during the 90-day follow-up period(P = 0.029) (Table 2). There was a significant difference in the cumulative incidence rate of kidney dysfunction between groups (log-rank P = 0.017) (Fig. 2B). Univariable and multivariable analyses are shown in Table 4, indicating that a low ESI was an independent risk factor for kidney dysfunction (adjusted HR = 1.36; 95% CI: 1.05, 2.93; P = 0.043) (Table 4, and Supplementary Table 4 for details).
Furthermore, among 105 patients without the presence of hepatic encephalopathy at baseline, 49 patients with a low ESI had a higher cumulative incidence rate of hepatic encephalopathy compared with 56 patients with a high ESI as shown by Kaplan-Meier analysis (39.6% vs. 14.0%, P = 0.003; log-rank P = 0. 010) (Table 2; Fig. 2C), and a low ESI was an independent risk factor for the development of hepatic encephalopathy through multivariable analyses (adjusted HR = 2.26; 95% CI: 2.05, 3.13; P = 0.036) (Table 4, and Supplementary Table 5 for details). However, there was no difference in the cumulative incidence rate of in-hospital infection between the two groups (75.0% vs. 63.4%, P = 0.273; log-rank P = 0. 079; adjusted HR = 1.62; 95% CI: 0.60, 3.08; P = 0.138) (Fig. 2D; Table 4, and Supplementary Table 6 for details).
Correlation of ESI with SMI
In this study, there were 23 patients with whole abdominal CT images. The ESI and SMI at L3 of these patients were calculated. The average ESI and SMI were 11.7 ± 3.8 and 39.4 ± 12.3, respectively (P = 0.231). There was a significant positive correlation between ESI and SMI (r = 0.714, P < 0.001). We also assessed the predictive ability of ESI and SMI for mortality outcomes. The areas under the ROC of ESI and SMI were 0.755 (0.536–0.973) and 0.773 (0.563–0.983), respectively (Fig. 3). The ROC analysis yielded no significant results (Z=-1.449, P = 0.147).
Discussion
Previous research has suggested that sarcopenia was considered a clinical phenotype of malnutrition in cirrhosis [8], which represents the loss of muscle mass. The prevailing perspective appears to have advanced beyond the aforementioned statement. Due to the inconvenience of bedside assessment tools, obtaining cross-sectional muscle mass measurements from scheduled abdominal CT imaging, which is planned for screening hepatic cell carcinoma, has become the overwhelming choice, and the skeletal muscle indices at L3 are commonly adopted. However, routine CT imaging of the liver is positioned from the top of the diaphragm to the inferior margin of the liver (approximately L1). A rough count of routine CT imaging of the liver performed during one month at our institution showed that approximately 85.3% (1749/2050) did not effectively acquire the images of the psoas muscle at L3, while the erector spine could be acquired at the upper lumbar vertebra for all CT imaging of the liver. Therefore, without additional scanning, which could increase exposure to ionizing radiation for patients, we aimed to evaluate the association between CT-based erector spine mass indicators at baseline and the progression of HBV-ACLF in this study.
In our study, an association between ESI and free-transplant mortality was assessed in HBV-ACLF patients. In patients with relatively low ESI, the free-transplant mortality increased. We found that low levels of ESI were independent risk factors increasing the poor prognosis of HBV-ACLF, and HBV-ACLF patients with a low ESI had more than twice the risk of death as those with a high ESI. These results indicated that erector spine mass loss increased HBV-ACLF mortality. On the other hand, we found that a low ESI was associated with higher rates of overt hepatic encephalopathy and high serum ammonia than at baseline. Furthermore, the development of hepatic encephalopathy also increased in patients with a low ESI during follow-up. Apart from the association with the presence of hepatic encephalopathy, patients with a low ESI had a high risk for the development of kidney dysfunction. However, erector spine loss was not reflected in the MELD score or MELD-Na score. The lack of significant difference in erector spine loss between males and females in our study may be related to the small number of females involved and the limited sample size. There are no studies describing the distribution pattern of the erector spine in the population, and the differences in performance by gender require further research. Our study showed a significant correlation of ESI with SMI, therefore, low ESI could be considered as an index that reflected loss of skeletal muscle mass or sarcopenia in HBV-ACLF patients.
It has been reported that sarcopenia in patients with cirrhosis adversely affects clinical outcomes, including the overall risk of death, sepsis-related mortality, worse health-related quality of life [20], and development of hepatic decompensation, such as hepatic encephalopathy and infection [4, 21, 22]. In addition, it also impacted mortality related to treatment in patients with hepatic cell carcinoma [23], significant liver fibrosis [24], and adverse posttransplant outcomes [25, 26]. Our results were similar to previous studies, and loss of erector spine mass was considered as a risk factor related to poor outcomes and a high prevalence of complications in HBV-ACLF patients. Loss of skeletal muscle mass has impacts on reduced quality of life and longer hospital stays [20, 27]. Muscle depletion could reduce the capacity for extrahepatic ammonia removal [28, 29]. These factors may contribute to the deterioration of the disease. The pathophysiological basis of the impact of the loss of skeletal muscle mass on the course of HBV-ACLF requires further evaluation.
Previous studies have demonstrated that some pathways related to chronic liver disease and cirrhosis could contribute to sarcopenia, including an imbalance between energy needs and intake, reduced levels of circulating branched-chain amino acids leading to accelerated muscle breakdown, myotoxicity associated with systemic ammonia, dysbiosis, and disruption of mediators of the “liver muscle axis” [21–23]. There are potential strategies to improve sarcopenia, including specific amino acid supplementation, mitochondrial protection, and combination endurance-resistance exercise [30–33]. Transjugular intrahepatic portosystemic shunt placement was confirmed to improve skeletal muscle and fat mass in cirrhotic patients with sarcopenia, and the reversal of sarcopenia could reduce the risk of death [19]. Future trials are still needed to confirm the impact of sarcopenia reversal on clinical outcomes.
Our study mainly demonstrated the impact of skeletal muscle loss on the progression of HBV-ACLF. The highlight of this study is the finding of the effect of the ESI as an index associated with muscle reduction on the mortality of HBV-ACLF and the development of complications. This study has some limitations. First, this study was designed retrospectively to explore the impact of ESI on the progression of HBV-ACLF, and it was dependent on data collected previously. Some potential factors were missing, such as diabetes, direct causes of death, and infection-related pathogen testing. We employed multivariate analysis to account for most of the potential confounding as much as feasible. Second, we only analyzed the correlation and predictive ability of ESI with SMI for a minority of patients, and the collection of these data involving larger populations would allow for a more comprehensive assessment of ESI for the diagnosis of sarcopenia and predicting disease progression in HBV-ACLF patients.
In conclusion, our study showed that erector spine mass was significantly associated with the outcomes of HBV-ACLF. The risk of death, development of hepatic encephalopathy, and kidney dysfunction increased in HBV-ACLF patients with a low ESI. Therefore, HBV-ACLF patients with low ESI need strengthened monitoring due to the high risk of death and disease progression.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Acknowledgements
We thank AJE Editing China for editing the English text of a draft of this manuscript.
Abbreviations
- ACLF
Acute-on-chronic liver failure
- ALT
Alanine transaminase
- AST
Aspartate transaminase
- CI
Confidence interval
- CT
Computed tomography
- ESI
Erector spine index
- GGT
γ-glutamyl transferase
- HBV-ACLF
Acute-on-chronic liver failure related to the hepatitis B virus
- HR
Hazard ratio
- HU
Hounsfield unit
- INR
International normalized ratio
- L1
The 1st lumbar vertebra
- L3
The third lumbar vertebra
- MELD
Model for end-stage liver disease
- MELD-Na
MELD-sodium
- MRI
Magnetic resonance imaging
- OR
Odds ratio
- SBP
Spontaneous bacterial peritonitis
- SMI
Skeletal muscle index
- SD
Standard deviation
Author contributions
Man Gong and Ning Zhang conceptualized the study; Jingjing Zhang, Pengcheng Liu, Shuangnan Fu, Jin Zhang, Xiaoxiao Liang, Tianyi Zhang, and Tingting He collected the data; Yuan Liu performed statistical analysis; Chao Zhou was involved in the drafting of the manuscript; all authors revised the manuscript for important intellectual content and accepted the final version of the manuscript.
Funding
This study was supported by National Thirteen Five-year Science and Technology Major Project of China, No. 2018ZX10725506-002; and National Twelve Five-year Science and Technology Major Project of China, No. 2012ZX10005-005.
Data Availability
The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.
Declarations
Ethics approval and consent to participate
This study conformed strictly to the Ethical Guidelines of the 1975 Declaration of Helsinki. The study was reviewed and approved by the ethics committee of the 302 Military Hospital of China (the predecessor of the 5th Medical Center of Chinese PLA General Hospital) (2012 Aug 22), and informed consent was obtained from all patients to be included in the study.
Consent for publication
Not Applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Hanai T, Nishimura K, Miwa T, et al. Prevalence, association, and prognostic significance of polypharmacy and sarcopenia in patients with liver Cirrhosis. JGH Open. 2023;7(3):208–14. doi: 10.1002/jgh3.12877. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Tantai X, Liu Y, Yeo YH, et al. Effect of Sarcopenia on survival in patients with Cirrhosis: a meta-analysis. J Hepatol. 2022;76(3):588–99. doi: 10.1016/j.jhep.2021.11.006. [DOI] [PubMed] [Google Scholar]
- 3.Tandon P, Montano-Loza AJ, Lai JC, Dasarathy S, Merli M. Sarcopenia and frailty in decompensated Cirrhosis. J Hepatol. 2021;75:147–S162. doi: 10.1016/j.jhep.2021.01.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Hsu CS, Kao JH. Sarcopenia and chronic Liver Diseases. Expert Rev Gastroenterol Hepatol. 2018;12(12):1229–44. doi: 10.1080/17474124.2018.1534586. [DOI] [PubMed] [Google Scholar]
- 5.Peng H, Zhang Q, Luo L, et al. A prognostic model of acute-on-chronic Liver Failure based on Sarcopenia. Hepatol Int. 2022;16(4):964–72. doi: 10.1007/s12072-022-10363-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Bai J, Xu M, Peng F, et al. Skeletal muscle mass index as a predictor of long-term Cirrhosis onset in young non-cirrhotic males with acute-on-chronic Liver Failure. Front Nutr. 2022;9:1071373. doi: 10.3389/fnut.2022.1071373. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Kumar V, Benjamin J, Shasthry V, et al. Sarcopenia in Cirrhosis: Fallout on Liver Transplantation. J Clin Exp Hepatol. 2020;10(5):467–76. doi: 10.1016/j.jceh.2019.12.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Lai JC, Tandon P, Bernal W, et al. Malnutrition, Frailty, and Sarcopenia in patients with Cirrhosis: 2021 Practice Guidance by the American Association for the study of Liver Diseases. Hepatol Baltim Md. 2021;74(3):1611–44. doi: 10.1002/hep.32049. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Chen LK, Woo J, Assantachai P, et al. Asian Working Group for Sarcopenia: 2019 Consensus Update on Sarcopenia diagnosis and treatment. J Am Med Dir Assoc. 2020;21(3):300–307e2. doi: 10.1016/j.jamda.2019.12.012. [DOI] [PubMed] [Google Scholar]
- 10.Dasarathy S, Merli M. Sarcopenia from mechanism to diagnosis and treatment in Liver Disease. J Hepatol. 2016;65(6):1232–44. doi: 10.1016/j.jhep.2016.07.040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Ye Q, Cai JJ, Yan JQ, Lv R. Role of L3-PMI in prognostic evaluation of patients with acute-on-chronic Liver Failure related to Hepatitis B Cirrhosis. World Chin J Dig. 2021;29(20):1167–73. doi: 10.11569/wcjd.v29.i20.1167. [DOI] [Google Scholar]
- 12.Xu M, Li T, Kong M, et al. Psoas muscle Index can be used to Predict Long-Term Mortality in Young male patients with Acute-on-chronic Liver Failure. Front Nutr. 2022;9:811826. doi: 10.3389/fnut.2022.811826. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Meyer F, Bannert K, Wiese M, et al. Molecular mechanism contributing to Malnutrition and Sarcopenia in patients with liver Cirrhosis. Int J Mol Sci. 2020;21(15):5357. doi: 10.3390/ijms21155357. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Zhou C, Zhang N, He TT, et al. High levels of serum interleukin-6 increase mortality of Hepatitis B virus-associated acute-on-chronic Liver Failure. World J Gastroenterol. 2020;26(30):4479–88. doi: 10.3748/wjg.v26.i30.4479. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.APASL ACLF Research Consortium (AARC) for APASL ACLF working Party. Sarin SK, Choudhury A, et al. Acute-on-chronic Liver Failure: consensus recommendations of the Asian Pacific association for the study of the liver (APASL): an update. Hepatol Int. 2019;13(4):353–90. doi: 10.1007/s12072-019-09946-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Moreau R, Jalan R, Gines P, et al. Acute-on-chronic Liver Failure is a distinct syndrome that develops in patients with acute decompensation of Cirrhosis. Gastroenterology. 2013;144(7):1426–37. doi: 10.1053/j.gastro.2013.02.042. [DOI] [PubMed] [Google Scholar]
- 17.Chinese Society of Hepatology, Chinese Medical Association. Xu X, Duan Z, et al. Chinese guidelines on the management of Ascites and its related Complications in Cirrhosis. Hepatol Int. 2019;13(1):1–21. doi: 10.1007/s12072-018-09923-2. [DOI] [PubMed] [Google Scholar]
- 18.Mitsiopoulos N, Baumgartner RN, Heymsfield SB, Lyons W, Gallagher D, Ross R. Cadaver validation of skeletal muscle measurement by magnetic resonance imaging and computerized tomography. J Appl Physiol. 1998;85(1):115–22. doi: 10.1152/jappl.1998.85.1.115. [DOI] [PubMed] [Google Scholar]
- 19.Liu J, Ma J, Yang C, et al. Sarcopenia in patients with Cirrhosis after Transjugular Intrahepatic Portosystemic Shunt Placement. Radiology. 2022;303(3):711–9. doi: 10.1148/radiol.211172. [DOI] [PubMed] [Google Scholar]
- 20.Norman K. Malnutrition affects quality of life in gastroenterology patients. World J Gastroenterol. 2006;12(21):3380. doi: 10.3748/wjg.v12.i21.3380. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Hanai T, Shiraki M, Watanabe S, et al. Sarcopenia predicts minimal hepatic encephalopathy in patients with liver Cirrhosis: Sarcopenia predicts MHE in cirrhotic patients. Hepatol Res. 2017;47(13):1359–67. doi: 10.1111/hepr.12873. [DOI] [PubMed] [Google Scholar]
- 22.Lattanzi B, Nardelli S, Pigliacelli A, et al. The additive value of Sarcopenia, myosteatosis and hepatic encephalopathy in the predictivity of model for end-stage Liver Disease. Dig Liver Dis. 2019;51(11):1508–12. doi: 10.1016/j.dld.2019.09.004. [DOI] [PubMed] [Google Scholar]
- 23.Hiraoka A, Kumada T, Kariyama K, et al. Clinical importance of muscle volume in lenvatinib treatment for hepatocellular carcinoma: analysis adjusted with inverse probability weighting. J Gastroenterol Hepatol. 2021;36(7):1812–9. doi: 10.1111/jgh.15336. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Lee Yho, Kim SU, Song K, et al. Sarcopenia is associated with significant liver fibrosis independently of obesity and insulin resistance in nonalcoholic fatty Liver Disease. Hepatology. 2016;63(3):776–86. doi: 10.1002/hep.28376. [DOI] [PubMed] [Google Scholar]
- 25.Kalafateli M, Mantzoukis K, Choi Yau Y, et al. Malnutrition and sarcopenia predict post-liver transplantation outcomes independently of the model for end-stage Liver Disease score: Malnutrition and post-liver transplant morbidity. J Cachexia Sarcopenia Muscle. 2017;8(1):113–21. doi: 10.1002/jcsm.12095. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Mauro E, Crespo G, Martinez-Garmendia A, et al. Cystatin C and Sarcopenia Predict Acute on chronic Liver Failure development and mortality in patients on the liver transplant waiting list. Transplantation. 2020;104(7):e188–98. doi: 10.1097/TP.0000000000003222. [DOI] [PubMed] [Google Scholar]
- 27.Montano-Loza AJ, Meza-Junco J, Baracos VE, et al. Severe muscle depletion predicts postoperative length of stay but is not associated with survival after liver transplantation. Liver Transpl. 2014;20(6):640–8. doi: 10.1002/lt.23863. [DOI] [PubMed] [Google Scholar]
- 28.Nardelli S, Lattanzi B, Merli M, et al. Muscle alterations are Associated with minimal and overt hepatic encephalopathy in patients with liver Cirrhosis. Hepatology. 2019;70(5):1704–13. doi: 10.1002/hep.30692. [DOI] [PubMed] [Google Scholar]
- 29.Bhanji RA, Moctezuma-Velazquez C, Duarte-Rojo A, et al. Myosteatosis and sarcopenia are associated with hepatic encephalopathy in patients with Cirrhosis. Hepatol Int. 2018;12(4):377–86. doi: 10.1007/s12072-018-9875-9. [DOI] [PubMed] [Google Scholar]
- 30.Ebadi M, Bhanji RA, Mazurak VC, Montano-Loza AJ. Sarcopenia in Cirrhosis: from pathogenesis to interventions. J Gastroenterol. 2019;54(10):845–59. doi: 10.1007/s00535-019-01605-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Nishikawa H, Enomoto H, Nishiguchi S, Iijima H. Liver Cirrhosis and Sarcopenia from the viewpoint of Dysbiosis. Int J Mol Sci. 2020;21(15):5254. doi: 10.3390/ijms21155254. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Kumar A, Davuluri G, Silva RN. Ammonia lowering reverses Sarcopenia of Cirrhosis by restoring skeletal muscle proteostasis: Kumar et al. Hepatology. 2017;65(6):2045–58. doi: 10.1002/hep.29107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Dasarathy S. Cause and management of muscle wasting in chronic Liver Disease. Curr Opin Gastroenterol. 2016;32(3):159–65. doi: 10.1097/MOG.0000000000000261. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.