| Literature DB >> 34584142 |
Mei-Yun Wu1,2,3, Wei-Xiong Lim4,3, Yu-Fan Cheng4,3, Ching-Di Chang4,3, Hsien-Wen Hsu4,3, Chih-Che Lin5,3, Chao-Long Chen5,3, Wan-Ching Chang4,3, Chun-Yen Yu4,3, Leo Leung-Chit Tsang4,3, Yi-Hsuan Chuang4,3, Hsin-You Ou6,7.
Abstract
Despite technological and immunological innovations, living-donor liver transplant (LDLT) recipients still face substantial risk of postoperative complications. Sarcopenia is being recognized more and more as a biomarker that correlates with poor outcomes in surgical patients. The purpose of this study was to evaluate the relationship between sarcopenia and significant surgical complications in LDLT recipients. This retrospective review included patients who had received LDLT at our institute from 2005 to 2017. Sarcopenia was assessed using the psoas muscle index (PMI) in cross-sectional images. ROC curve analysis was used to determine the ability of PMI to predict postoperative complications. Correlations between major postoperative complications and sarcopenia were evaluated using regression analysis. A total of 271 LDLT recipients were included. No significant differences were found between PMI and major postoperative complications in male patients. Female recipients with major postoperative complications had significantly lower mean PMI values (P = 0.028), and the PMI cut-off value was 2.63 cm2/m2. Postoperative massive pleural effusion requiring pigtail drainage occurred more frequently in the sarcopenia group than in the non-sarcopenia group (P = 0.003). 1-, 3-, 5- and 10-year overall survival rates in female were significantly poorer in the sarcopenia group (n = 14) compared with the non-sarcopenia group (n = 108), at 92.9% versus 97.2%, 85.7% versus 95.4%, 85.7% versus 92.5% and 70.1 versus 82.0%, respectively (P = 0.041) and 94.6%, 89.9%, 85.9% and 78.5% in male patients. Sarcopenia is associated with a significantly higher risk of major postoperative complications in females. PMI and sarcopenia together are predictive of major postoperative complications and survival rates in female LDLT recipients.Entities:
Mesh:
Year: 2021 PMID: 34584142 PMCID: PMC8479000 DOI: 10.1038/s41598-021-98399-6
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Demographic and clinical characteristics of LDLT recipients.
| Characteristic | All patients (n = 271) | Male (n = 149) | Female (n = 122) | P value |
|---|---|---|---|---|
| Age (mean ± SD) | 51.93 ± 7.40 | 51.61 ± 6.90 | 52.32 ± 7.98 | 0.439 |
| BMI | 24.89 ± 4.23 | 25.08 ± 3.55 | 24.83 ± 4.45 | 0.602 |
| PMI (cm2/m2) | 5.36 ± 2.01 | 6.37 ± 1.91 | 4.29 ± 1.22 | < 0.0001 |
| MELD | 20.54 ± 10.22 | 21.79 ± 10.19 | 19.02 ± 10.10 | 0.027 |
| Creatinine | 0.85 ± 0.39 | 0.95 ± 0.35 | 0.73 ± 0.42 | 0.0001 |
| Albumin | 2.92 ± 0.67 | 2.95 ± 0.73 | 2.90 ± 0.59 | 0.511 |
| Total bilirubin | 4.57 ± 7.59 | 4.14 ± 7.19 | 5.13 ± 8.10 | 0.291 |
| ICU | 20.76 ± 12.35 | 20.87 ± 13.04 | 20.65 ± 11.51 | 0.885 |
| Hospital stay (days) | 76.54 ± 41.29 | 74.87 ± 40.81 | 78.58 ± 41.95 | 0.463 |
| 0.0001 | ||||
| Left | 59 | 9 | 50 | |
| Right | 212 | 140 | 72 | |
| HBV | 58 | 41 | 17 | |
| HCV | 48 | 7 | 41 | |
| HBV/HCV | 3 | 1 | 2 | |
| Other | 53 | 19 | 34 | |
| HCC | 6 | 4 | 2 | |
| T1 | 3 | 2 | 1 | 1.000 |
| T2 | 3 | 2 | 1 | |
| HBV/HCC | 67 | 60 | 7 | |
| T1 | 35 | 15 | 20 | 0.033 |
| T2 | 32 | 29 | 3 | |
| HCV/HCC | 29 | 9 | 20 | |
| T1 | 6 | 2 | 4 | 0.270 |
| T2 | 23 | 6 | 17 | |
| HBV/HCV/HCC | 7 | 6 | 1 | |
| T1 | 2 | 2 | 0 | 0.495 |
| T2 | 5 | 4 | 1 | |
BMI, Body mass index; MELD, Model for end-stage liver disease; ICU, Intensive care unit; HBV, Hepatitis B virus; HCV, Hepatitis B virus; HCC, Hepatocellular carcinoa.
The correlation between postoperative major complications and sarcopenia.
| Complication | No/minor complication | Major complication | P value |
|---|---|---|---|
| Male | N = 96 | N = 53 | |
| Female | N = 63 | N = 59 | |
| Male/PMI | 6.324 ± 1.768 | 6.446 ± 2.155 | 0.709 |
| Female/PMI | 4.521 ± 1.274 | 4.038 ± 1.108 | 0.028 |
PMI, Psoas muscle index
Figure 1ROC curve analysis revealed PMI correlation with major complications after living donor liver transplant(P = 0.028). The PMI cut-off point as 2.63 (sensitivity = 20.6%, specificity = 92%, AUE = 0.567).
Figure 2ROC curve analysis revealed PMI correlation with one year mortality after a living donor liver transplant for female PMI and 1-year mortality (sensitivity = 83.3%, specificity = 41.7%, AUE = 0.553).
Figure 3Survival analysis by Kaplan–Meier method.
Comparison of overall survival rate between sarcopenia and non-sarcopenia female patients.
| Female/PMI | The number of cases | Mortality | 1-year survival (%) | 3-year survival (%) | 5-year survival (%) | 10-year survival (%) |
|---|---|---|---|---|---|---|
| PMI < 2.63 | 14 | 6 | 92.9 | 85.7 | 85.7 | 70.1 |
| PMI > 2.63 | 108 | 16 | 97.2 | 95.4 | 92.5 | 82.0 |
| Overall | 122 | 22 |