Preoperative aspartate aminotransferase-to-platelet-ratio index as a predictor of posthepatectomy liver failure for resectable hepatocellular carcinoma

Rong-Yun Mai; Jia-Zhou Ye; Zhong-Rong Long; Xian-Mao Shi; Tao Bai; Jie Chen; Le-Qun Li; Guo-Bin Wu; Fei-Xiang Wu

doi:10.2147/CMAR.S186114

. 2019 Feb 12;11:1401–1414. doi: 10.2147/CMAR.S186114

Preoperative aspartate aminotransferase-to-platelet-ratio index as a predictor of posthepatectomy liver failure for resectable hepatocellular carcinoma

Rong-Yun Mai ¹, Jia-Zhou Ye ¹, Zhong-Rong Long ¹, Xian-Mao Shi ¹, Tao Bai ¹, Jie Chen ¹, Le-Qun Li ¹, Guo-Bin Wu ^1,^✉, Fei-Xiang Wu ^1,^✉

PMCID: PMC6388945 PMID: 30863151

Abstract

Purpose

This study aimed to investigate the efficacy of preoperative aspartate aminotransferase-to-platelet-ratio index (APRI) score to predict the risk of posthepatectomy liver failure (PHLF) in patients with hepatocellular carcinoma (HCC) after liver resection, and to compare the discriminatory performance of the APRI with the Child–Pugh score, model for end-stage liver disease (MELD) score, and albumin–bilirubin (ALBI) score.

Patients and methods

A total of 1,044 consecutive patients with HCC who underwent liver resection were enrolled and studied. Univariate and multivariate analyses were performed to investigate risk factors associated with PHLF. Predictive discrimination of Child–Pugh, MELD, ALBI, and APRI scores for predicting PHLF were assessed according to area under the ROC curve. The cutoff value of the APRI score for predicting PHLF was determined by ROC analysis. APRI scores were stratified by dichotomy to analyze correlations with incidence and grade of PHLF.

Results

PHLF occurred in 213 (20.4%) patients. Univariate and multivariate analyses revealed that Child–Pugh, MELD, ALBI, and APRI scores were significantly associated with PHLF. Area under the ROC analysis revealed that the APRI score for predicting PHLF was significantly more accurate than Child–Pugh, MELD, or ALBI scores. With an optimal cutoff value of 0.55, the sensitivity and specificity of the APRI score for predicting PHLF were 72.2% and 68.0%, respectively, and the incidence and grade of PHLF in patients with high risk (APRI score >0.55) was significantly higher than in the low-risk cohort (APRI score <0.55).

Conclusion

The APRI score predicted PHLF in patients with HCC undergoing liver resection more accurately than Child–Pugh, MELD, or ALBI scores.

Keywords: hepatocellular carcinoma, liver resection, posthepatectomy liver failure, aspartate aminotransferase-to-platelet ratio index, Child–Pugh score, model for end-stage liver disease score, albumin-bilirubin score

Introduction

HCC is the sixth-most common aggressive malignancy and the second-leading cause of cancer-related deaths worldwide.¹ Surgical resection is the most effective curative treatment for patients with resectable HCC and moderate liver-function reserve, providing patients promising survival benefits.²^–⁵ Even though surgical techniques and management have greatly improved over the past few decades, PHLF remains one of the most serious and dreaded complications after hepatectomy in HCC patients, and is a main cause of postoperative death.⁶^–⁹ Therefore, accurate preoperative prediction of the risk of PHLF in patients with HCC is essential for surgeons to assess the feasibility and safety of liver resection.

Conventional scores, such as Child–Pugh score,¹⁰ MELD score,¹¹^–¹³ ALBI score,¹⁴ and APRI score,¹⁵ are used widely for preoperative assessment of liver-function reserve. Child–Pugh score, which has been merged into clinical management algorithms of HCC patients, is the most used to predict the risk of PHLF;²^,³^,⁶ however, it has limitations.¹⁰ For example, a serum bilirubin level of 55 μmol/L has the same impact on the score as 550 μmol/L, because of arbitrary thresholds for continuous variables. The most serious deficiency of the Child–Pugh score is that it uses two arbitrary and subjective clinical variables – ascites and hepatic encephalopathy – in its calculation. The MELD score estimates the prognosis of decompen-sated liver-cirrhosis patients, and it has become widely used for organ allocation in liver transplantation and for assessing the 3- to 6-month survival rate in patients with liver failure.¹¹^–¹³ However, the MELD score is not optimal for predicting PHLF after hepatectomy in HCC either, because it was designed for patients with advanced cirrhosis, which most HCC patients do not have.¹³ The ALBI score has eliminated the arbitrariness and subjectivity of liver-function-reserve assessment in patients with ascites and hepatic encephalopathy, and it has been reported to be superior to Child–Pugh and MELD scores in predicting PHLF and prognosis of HCC patients after liver resection.¹⁶^–¹⁸ However, the ALBI score has no “ceiling effect”, so it is not applicable to assessing liver-function reserve in patients with obstructive jaundice.¹⁷ As such, the efficacy of these three conventional scoring systems to predict PHLF before surgery is doubtful.

The APRI score, which is calculated on the ratio of serum AST and platelet count,¹³ has been reported to predict liver cirrhosis and fibrosis accurately in patients with chronic HBV infection.¹⁹ The Asian Pacific Association for the Study of the Liver has proposed that the APRI score is the most cost-effective noninvasive tool to evaluate hepatic cirrhosis and active hepatitis, even to the point of replacing liver biopsy.²⁰ The APRI score has been validated in estimating liver-function reserve and prognosis in patients with HCC,²¹ but whether it can accurately predict PHLF for patients with HCC who undergo hepatectomy is unknown. We conducted this study to assess the APRI score in predicting the PHLF probability for patients with HCC who have undergone hepatectomy, and to compare its predictive value with that of the Child–Pugh score, MELD score, and ALBI score.

Patients and methods

Patients

All patients with HCC who had received treatment for liver resection with curative intent at the Affiliated Tumor Hospital of Guangxi Medical University between September 2013 and December 2016 were included in this study. The study was approved by the university’s ethics committee in accordance with the Declaration of Helsinki. All patients provided informed consent, and their data were used in this research. Inclusion criteria were: 1) diagnosis of HCC confirmed by histology; 2) no preoperative anticancer treatments for HCC, including transarterial chemoembolization, radiofrequency ablation, and others; 3) no simultaneous malignancies; 4) no preoperative obstructive jaundice; and 5) no preoperative cardiopulmonary, cerebral, or renal dysfunction.

Diagnosis and definitions

Patients were diagnosed initially with HCC staging based of the Barcelona Clinical Liver Cancer staging system²¹ and confirmed by histological examination of pathological tissue. The definition of curative liver resection was complete removal of all visible tumor without residual tumor at surgical margins.²² The definition of major liver resection was the removal of three or more Couinaud liver segments.²³ The definition of clinically significant portal hypertension was splenomegaly (diameter ≥12 cm) with a platelet count <100×10⁹/L or gastroesophageal varices.²⁴ Patients who had an HBV DNA level >2,000 IU/mL before liver resection were considered to have a high viral load.²⁵^–²⁷ According to the criteria proposed by the International Study Group of Liver Surgery, the definition of PHLF is an elevated international normalized ratio (INR) and bilirubin level on or after liver-resection day 5.⁸ No special treatment was required for patients with grade A PHLF, noninvasive treatment was required for patients with grade B PHLF, invasive procedures were required for patients who developed grade C PHLF.⁸ The definition of postoperative mortality was death within 90 days after hepatectomy.

Treatments and follow-up

Before surgery, abdominal ultrasonography and contrast-enhanced computed tomography (CT) or magnetic resonance imaging (MRI) was routinely performed to assess tumor status and resectability. Child–Pugh grade and remnant liver volume were calculated to evaluate liver-function reserve. Indications of major or minor hepatectomy for patients with HCC were good health status, Eastern Cooperative Oncology Group score 0–2, good liver-function reserve, with Child–Pugh grade A or B, adequate remnant liver volume measured by volumetric CT or MRI, considered 30% for patients with normal liver status and without distant metastases and 50% for patients with severe liver cirrhosis or other liver disease.¹⁷ Surgery started with a right subcostal incision, and the incision was extended to the left subcostal region if necessary. The surgeons examined the abdominal cavity to confirm the extent of local disease, extrahepatic metastases, and peritoneal seeding. They then ligated and divided the corresponding hepatic pedicle, hepatic vein, and short veins. During the liver resection, Pringle’s maneuver was used to block blood inflow to the liver when necessary, with each clamp time <15 minutes, followed by 5 minutes of clamp-free interval. Hepatectomy was performed with electrosurgical instruments, sometimes in conjunction with a clampcrushing method. Before the abdomen was closed, drains were routinely placed in the subphrenic cavity. All resected surgical specimens were histopathologically examined independently by three pathologists.

After discharge, all patients received regular follow up at 1 month after hepatectomy and then at intervals of 2–3 months in the first year after hepatectomy and every 3–6 months from the second year. At each follow-up visit, routine reexaminations included liver-function test, serum AFP level, HBV, markers and HBV DNA (if the patient had HBV infection), chest radiography, abdominal ultrasonography, and CT or MRI. Based on the extent of disease, liver-function reserve, general health status, and economic conditions, patients with recurrence were treated by liver resection, radiofrequency ablation, percutaneous ethanol injection, transcatheter arterial chemoembolization, or sorafenib.

Calculation of score values

The Child–Pugh score includes total serum bilirubin, pro-thrombin time, albumin, ascites, and hepatic encephalopathy.¹⁰ The MELD score was calculated as 3.8×log_e (bilirubin [mg/dL]) +11.2×log_e (INR)+9.6× log_e (creatinine [mg/dL]) +6.4× log_e (etiology, cholestatic/alcoholic 0, others 1).¹¹ The ALBI score was calculated as 0.66×log₁₀ (bilirubin [μmol/L] − 0.085 × albumin [g/L]).¹⁴ The APRI score was calculated as AST/upper limit of normal/platelet count (expressed as platelets ×10⁹/L) ×100.¹⁵ All components of these formulae were tested and analyzed within 1 week before surgery.

Statistical analysis

Continuous data of normally distributed values are expressed as mean ± SD and compared using unpaired two-tailed t-tests. Values with abnormal distribution are expressed as medians (IQR 25–75) and compared using Mann–Whitney tests. Categorical data are shown as frequencies, and proportions were compared using χ². Univariate logistic analysis was used first to assess factors related to PHLF. Variables with statistical significance were then analyzed by multivariate logistic regression analysis to confirm independent predictors of PHLF. Area under the ROC curve (AUC) was calculated to evaluate the discriminatory performance of Child–Pugh, MELD, ALBI, and APRI scores for predicting PHLF. The cutoff value of the APRI score for predicting PHLF was determined by ROC analysis. APRI scores were then stratified by dichotomy, and correlations between risk cohorts for APRI scores and incidence and grade of PHLF analyzed. Statistical analysis was conducted with SPSS 23.0 (IBM Corporation, Armonk, New York, USA). P<0.05 was considered statistically significant.

Results

Clinicopathological characteristics

A total of 1,189 patients received curative hepatectomy during the study. Of these, 145 patients were excluded for these reasons: 72 patients had histologically proven non-HCC, 61 patients had received anticancer treatments for HCC before hepatectomy, 8 patients had obstructive jaundice, and 4 patients had other simultaneous malignant tumors. Finally, 1,044 patients with HCC who met the inclusion criteria were enrolled in this study (Table 1).

Table 1.

Baseline characteristics of the included 1,044 patients with HCC and comparison of factors between patients with or without PHLF

Characteristics	All patients (n=1,044)	PHLF		P-value

		No (n=831)	Yes (n=213)

Age, ≥60/<60 years	211 (20.2%)/833 (79.8%)	161 (19.4%)/670 (80.6%)	50 (23.5%)/163 (76.5%)	0.184
Sex, male/female	899 (86.1%)/145 (13.9%)	704 (84.7%)/127 (15.3%)	195 (91.5%)/18 (8.5%)	0.010
HBsAg, positive/negative	919 (88.0%)/125 (12.0%)	725 (87.2%)/106 (12.8%)	194 (91.1%)/19 (8.9%)	0.124
HBV DNA >2,000/≤2,000 IU/mL	598 (57.3%)/446 (42.7%)	450 (54.2%)/381 (45.8%)	148 (69.5%)/65 (30.5%)	<0.001
Plt count (10⁹/L)	208.0 (162.8–269.0)	214.0 (172.9–277.0)	174.0 (230.3–247.0)	<0.001
TBil (μmol/L)	11.8 (8.8–16.1)	11.1 (8.3–15.0)	15.6 (11.7–19.7)	<0.001
PA (mg/L)	184.0 (137.0–231.0)	192.5 (144.0–239.3)	148.0 (114.0–197.0)	<0.001
Alb (g/L)	40.5±4.6	40.6±4.5	39.0±4.5	<0.001
ALT (U/L)	34.0 (23.0–48.0)	32.0 (22.0–45.0)	43.0 (29.0–63.0)	<0.001
AST (U/L)	38.0 (29.0–56.0)	35.0 (28.0–51.0)	54.0 (36.0–74.0)	<0.001
BUN (mmol/L)	4.9 (4.1–5.9)	4.9 (4.1–5.8)	4.8 (3.9–5.9)	0.824
Cre (μmol/l)	78.0 (68.0–89.0)	78.0 (68.0–89.0)	77.0 (68.0–87.0)	0.047
PT (seconds)	12.8 (12.1–13.7)	12.7 (12.0–13.5)	13.4 (12.6–14.4)	<0.001
INR	1.0 (1.0–1.1)	1.0 (1.0–1.1)	1.1 (1.0–1.2)	<0.001
AFP ≥400/<400 (ng/mL)	466 (44.6%)/578 (55.4%)	361 (43.4%)/470 (56.6%)	105 (49.3%)/108 (50.7%)	0.140
Ascites	95 (9.1%)	66 (7.9%)	29 (13.6%)	0.010
CSPH	88 (8.4%)	59 (7.1%)	29 (13.6%)	0.002
Child–Pugh score	5 (5–5)	5 (5–5)	5 (5–5)	<0.001
MELD score	4 (2–6)	4 (2–6)	6 (4–8)	<0.001
ALBI score	−2.74 (−2.97 to −2.44)	−2.79 (−2.99 to −2.51)	−2.53 (−2.85 to −2.22)	<0.001
APRI score	0.48 (0.32–0.76)	0.42 (0.30–0.65)	0.79 (0.51–1.22)	<0.001
Cirrhosis	424 (40.6%)	310 (37.3%)	114 (53.5%)	<0.001
Tumor size (cm)	6.0 (4.0–10.0)	6.0 (4.0–10.0)	7.2 (5.0–11.0)	<0.001
Tumors, n, multiple/single	98 (9.4%)/946 (90.6%)	63 (7.6%)/768 (92.4%)	35 (16.4%)/178 (83.6%)	<0.001
Operation time (minutes)	195 (160–240)	191 (160–240)	210 (170–250)	0.033
Blood loss ≥400/<400 (mL)	411 (39.4%)/633 (60.6%)	297 (35.7%)/534 (64.3%)	114 (53.5%)/99 (46.5%)	<0.001
Extent of resection, major/minor	388 (37.2%)/656 (62.8%)	276 (33.2%)/555 (66.8%)	112 (52.6%)/101 (47.4%)	<0.001

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Note: Data are mean ± SD or median (IQR 25–75) unless otherwise indicated.

Abbreviations: Alb, albumin; ALBI, albumin–bilirubin; APRI, aspartate aminotransferase-to-platelet-ratio index; BUN, blood urea nitrogen; Cre, creatinine; CSPH, clinically significant portal hypertension; HBV, hepatitis B virus; HBsAg, hepatitis B surface antigen; HCC, hepatocellular carcinoma; INR, international normalized ratio; IQR, interquartile range; MELD, model for end-stage liver disease; PA, prealbumin; PHLF, posthepatectomy liver failure; Plt, platelet; PT, prothrombin time; TBil, total bilirubin.

Morbidity and mortality

Of the 1,044 HCC patients, PHLF occurred in 20.4% (n=213): 9.67% (n=101) with grade A, 10.06% (n=105) with grade B, and 0.67% (n=7) with grade C PHLF. The postoperative mortality rate was 2.7% (n=28): 20 patients died of PHLF complicated with sepsis or multiple-organ failure, and 8 patients died of cardiopulmonary failure and other reasons.

Independent predictors of PHLF

The results of univariate logistic analysis are presented in Table 2. For multivariate analysis, Child–Pugh, MELD, ALBI, and APRI scores were used in different logistic regression models to avoid collinearity. Therefore, the Child–Pugh score (OR 1.524, 95% CI 1.150–2.019; P=0.003), MELD score (OR 1.060, 95% CI 1.012–1.111; P=0.015), ALBI score (OR 2.000, 95% CI 1.204–3.321; P=0.007), and APRI score (OR 2.046, 95% CI 1.542–2.714; P<0.007) were closely related to PHLF (Table 3). Furthermore, male sex, HBV DNA ≥2,000 IU/mL, cirrhosis, tumor size, multiple-tumor number, major liver resection, and blood loss≥ 400 mL had a significant influence on prognosis (Table 3).

Table 2.

Univariate logistic analyses to identify predictors of PHLF in patients with HCC

Characteristics	OR (95% CI)	P-value

Male sex	0.512 (0.305–0.859)	0.011
Positive HBsAg	1.493 (0.893–2.494)	0.126
HBV DNA >2,000 IU/mL	1.928 (1.297–2.660)	<0.001
Plt count (10⁹/L)	0.994 (0.992–0.996)	<0.001
TBil (μmol/L)	1.086 (1.061–1.110)	<0.001
PA (mg/L)	0.993 (0.990–0.995)	<0.001
Alb (g/L)	0.926 (0.895–0.958)	<0.001
ALT (U/L)	1.009 (1.005–1.012)	<0.001
AST (U/L)	1.012 (1.008–1.015)	<0.001
Cre (μmol/L)	0.992 (0.985–1.000)	0.037
PT (seconds)	1.513 (1.340–1.709)	<0.001
INR	62.65 (18.08–217.1)	<0.001
Ascites	1.827 (1.147–2.909)	0.011
CSPH	2.062 (1.285–3.308)	0.003
Child–Pugh score	1.720 (1.315–2.251)	<0.001
MELD score	1.088 (1.042–1.136)	<0.001
ALBI score	4.179 (2.818–6.197)	<0.001
APRI score	3.012 (2.303–3.939)	<0.001
Cirrhosis	1.935 (1.428–2.622)	<0.001
Tumor size (cm)	1.062 (1.028–1.097)	<0.001
Multiple tumor, n	2.397 (1.537–3.738)	<0.001
Operation time (minutes)	1.002 (0.999–1.004)	0.138
Blood loss ≥400 mL	2.070 (1.527–2.807)	<0.001
Major resection	2.230 (1.643–3.026)	<0.001

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Abbreviations: Alb, albumin; ALBI, albumin–bilirubin; APRI, aspartate aminotransferase-to-platelet-ratio index; BUN, blood urea nitrogen; Cre, creatinine; CSPH, clinically significant portal hypertension; HBV, hepatitis B virus; HBsAg, hepatitis B surface antigen; HCC, hepatocellular carcinoma; INR, international normalized ratio; MELD, model for end-stage liver disease; PA, prealbumin; Plt, platelet; PT, prothrombin time; TBil, total bilirubin.

Table 3.

Multivariate logistic analyses to identify predictors of PHLF in patients with HCC

Characteristics	Child–Pugh score^*		MELD score^**		ALBI score^‡		APRI score^‡‡
Characteristics	OR (95% CI)	P-value	OR (95% CI)	P-value	OR (95% CI)	P-value	OR (95% CI)	P-value

Male sex	0.352 (0.193–0.642)	0.001	0.409 (0.219–0.762)	0.005	0.369 (0.199–0.684)	0.002	0.388 (0.205–0.732)	0.003
HBV DNA	1.445 (1.025–2.038)	0.036	1.468 (1.040–2.071)	0.029	1.502 (1.068–2.112)	0.019	1.462 (1.021–2.093)	0.038
>2,000 IU/mL
Plt count (10⁹/L)	0.991 (0.989–0.994)	<0.001	0.992 (0.990–0.995)	<0.001	0.992 (0.990–0.995)	<0.001
TBil (μmol/L)							1.068 (1.042–1.096)	<0.001
PA (mg/L)	0.994 (0.992–0.998)	<0.001	0.995 (0.992–0.998)	<0.001	0.997(0.994–0.999)	0.016	0.996 (0.993–0.999)	0.004
ALB (g/L)			1.008 (1.004–1.012)	0.532			0.959 (0.923–0.997)	0.035
ALT (U/L)	1.002 (0.997–1.007)	0.427	1.001 (0.996–1.007)	0.592	1.002 (0.997–1.007)	0.451	0.999 (0.994–1.004)	0.730
AST (U/L)	1.009 (1.005–1.014)	<0.001	1.009 (1.005–1.013)	<0.001	1.009 (1.005–1.013)	<0.001
Cre (μmol/L)	0.998 (0.991–1.006)	0.635			1.001 (0.993–1.007)	0.929	0.999 (0.992–1.006)	0.768
PT (seconds)			1.256 (1.083–1.457)	0.003	1.266 (1.094–1.464)	0.002	1.272 (1.101–1.471)	0.001
INR					9.174 (2.311–36.42)	0.002	18.95 (4.842–74.15)	<0.001
Ascites			1.114 (0.648–1.916)	0.695	1.104 (0.641–1.901)	0.721	1.024 (0.590–1.775)	0.934
CSPH	1.055 (0.590–1.886)	0.856	0.994 (0.566–1.746)	0.984	0.893 (0.491–1.624)	0.711	0.852 (0.450–1.614)	0.624
Child–Pugh score	1.524 (1.150–2.019)	0.003
MELD score			1.060 (1.012–1.111)	0.015
ALBI score					2.000 (1.204–3.321)	0.007
APRI score							2.046 (1.542–2.714)	<0.001
Cirrhosis	1.600 (1.119–2.289)	0.010	1.453 (1.009–2.092)	0.044	1.461 (1.014–2.104)	0.042	1.519 (1.066–2.166)	0.021
Tumor size (cm)	1.050 (1.001–1.101)	0.045	1.054 (1.004–1.106)	0.032	1.055 (1.005–1.107)	0.030	1.074 (1.034–1.114)	<0.001
Multiple tumors, n	1.816 (1.097–3.006)	0.012	1.878 (1.127–3.128)	0.015	1.853 (1.111–3.090)	0.018	1.743 (1.048–2.898)	0.032
Blood loss ≥400 mL	1.436 (1.003–2.057)	0.048	1.462 (1.017–2.104)	0.041	1.443 (1.001–2.081)	0.049	1.498 (1.050–2.138)	0.026
Major resection	1.900 (1.287–2.806)	0.001	2.002 (1.345–2.978)	0.001	2.006 (1.436–2.990)	0.001	1.976 (1.365–2.858)	<0.001

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Notes:

Without TBil, Alb, PT, INR, ascites, MELD, ALBI, and APRI scores.

^**

Without TBil, INR, CRE, Child–Pugh, ALBI, and APRI scores.

^‡

Without TBil, Alb, Child–Pugh, MELD, and APRI scores.

^‡‡

Without AST, Plt count, Child–Pugh, MELD, and ALBI scores.

Abbreviations: Alb, albumin; ALBI, albumin–bilirubin; APRI, aspartate aminotransferase-to-platelet-ratio index; Cre, creatinine; CSPH, clinically significant portal hypertension; HBV, hepatitis B virus; HCC, hepatocellular carcinoma; INR, international normalized ratio; MELD, model for end-stage liver disease; PA, prealbumin; Plt, platelet; PT, prothrombin time; TBil, total bilirubin.

Discriminatory performance of Child–Pugh, MELD, ALBI, and APRI scores for predicting PHLF

The AUC analysis showed that the APRI score (AUC 0.743, 95% CI 0.706–0.780; P<0.001) for predicting PHLF was significantly higher than that of Child–Pugh (AUC 0.562, 95% CI 0.517–0.607; P=0.005), MELD (AUC 0.647, 95% CI 0.606–0.687; P<0.001), and ALBI (AUC 0.662, 95% CI 0.620–0.704; P<0.001) scores in the entire cohort of patients with HCC (Figure 1A). The APRI-score cutoff value of 0.55 had a sensitivity of 72.2% and a specificity of 68.0% for predicting PHLF.

ROC curves of APRI, Child–Pugh, MELD, and ALBI scores for predicting PHLF.

**Notes:** (A) Entire cohort of patients. (B) Patients positive for HBsAg and HBV DNA >2,000 IU/mL. (C) Patients positive for HBsAg and HBV DNA ≤2,000 (IU/mL). (D) Patients with cirrhosis. (E) Patients without cirrhosis. (F) Patients with major liver resection. (G) Patients with minor liver resection. (H) Patients with intraoperative blood loss ≥400 (mL). (I) Patients with intraoperative blood loss <400 mL. Area under the curve: (A) 0.743 for APRI vs 0.562 for Child–Pugh, 0.647 for MELD, and 0.662 for ALBI; (B) 0.746 vs 0.572, 0.659, and 0.681; (C) 0.699 vs 0.554, 0.614, and 0.661; (D) 0.732 vs 0.585, 0.641, and 0.677; (E) 0.729 vs 0.533, 0.638, and 0.640; (F) 0.718 vs 0.558, 0.634, and 0.648; (G) 0.758 vs 0.563, 0.684, and 0.669; (H) 0.743 vs 0.538, 0.638, and 0.641; (I) 0.729 vs 0.574, 0.656, and 0.667, respectively.

**Abbreviation:** HBsAg, hepatitis B surface antigen; HBV, hepatitis B virus MELD, model for end-stage liver disease; ALBI, albumin–bilirubin; APRI, aspartate aminotransferase-to-platelet-ratio index; PHLF, posthepatectomy liver failure.

To eliminate subgroups of patients with HCC negatively impacted by APRI score, we stratified HCC patients by HBV DNA load, cirrhosis status, extent of resection, and blood loss. The discriminative performance of Child–Pugh, MELD, ALBI, and APRI scores for predicting PHLF were also compared in subgroups of patients with HCC (Figure 1 B–I). The APRI score for predicting PHLF of patients with HCC among subgroups was also greater than Child–Pugh, MELD, and ALBI scores, and the APRI score had a stronger ability to predict PHLF in patients positive for HBV surface antigen and HBV DNA >2,000 IU/mL, cirrhosis, minor liver resection, or blood loss ≥400 mL.

Correlation between APRI score and incidence and grade of PHLF

With the ROC analysis, the optimal cutoff value of the APRI score for predicting PHLF was 0.55 among all patients. Patients with an APRI score >0.55 were designated the high-risk cohort, and those with an APRI score ≤0.55 were designated the low-risk cohort. Patients in the high-risk cohort had significantly higher incidence and grade of PHLF than those in the low-risk cohort (Figure 2A).

Correlations between risk cohorts of APRI score and incidence and grade of PHLF.

**Notes:** (A) Entire cohort of patients. (B) Patients positive for HBsAg and HBV DNA >2,000 IU/mL. (C) Patients positive for HBsAg and HBV DNA ≤2,000 IU/mL. (D) Patients with cirrhosis. (E) Patients without cirrhosis. (F) Patients with major liver resection. (G) Patients with minor liver resection. (H) Patients with intraoperative blood loss ≥400 mL. (I) Patients with intraoperative blood loss <400 mL (incidence, P<0.001 for all [χ²-test]; grade, P<0.001 for all [Kruskal-Wallis H-test]).

**Abbreviations:** HBsAg, hepatitis B surface antigen; HBV, hepatitis B virus; APRI, aspartate aminotransferase-to-platelet-ratio index; PHLF, posthepatectomy liver failure.

Similarly, using the same cutoff value for the APRI score, the incidence and grade of PHLF increased with increasing APRI scores in all the subgroups (Figure 2B–I). There was a statistically significant positive correlation between high risk and incidence and grade of PHLF (P<0.001 for all).

Discussion

In this study, we compared the APRI score with Child–Pugh, MELD, and ALBI scores in predicting PHLF in patients with HCC who had undergone liver resection. The predictive performance of the APRI score was found to be superior to the other scoring systems. Moreover, the APRI score was superior in predicting PHLF in patient subgroups based on serum HBV DNA load, liver-cirrhosis status, extent of resection, and intraoperative blood loss.

HBV is the most common cause of chronically impaired liver function and liver cirrhosis in Asia-Pacific regions, particularly in mainland China. HBV infection usually accompanies disorders of immunofunction caused by immunological injury,²⁸ which may be accompanied by an attendant risk of PHLF. HBV reactivation often occurs in patients with a high preoperative HBV DNA load, and a high load is a reported risk factor of PHLF.²⁵ Liver cirrhosis is a negative predictor of liver regeneration and recovery of liver function, and it may increase the risk of postoperative ascites and duration of PHLF.⁶^,²⁰ Therefore, accurate preoperative assessment of active HBV and hepatic cirrhosis is critical to reducing the incidence of PHLF. Considering the high degree of accuracy of the APRI score in predicting liver cirrhosis and fibrosis in HBV-infected patients,²⁹ we performed stratified analyses of subgroups of patients according to HBV DNA load and the presence or absence of cirrhosis. We found the APRI score to have better ability than Child–Pugh, MELD, and ALBI scores to predict PHLF in HCC patients with HBV DNA >2,000 IU/mL and cirrhosis. Meanwhile, similar results were found in patients with HBV DNA ≤2,000 IU/mL and no cirrhosis.

Besides poor preoperative liver-function reserve, the surgical procedure itself is an important risk factor for PHLF:⁶^–⁹ major liver resection and high-volume intraoperative blood loss reportedly increase the risk of PHLF.³⁰^,³¹ In our study, multivariate logistic analysis revealed that major liver resection and blood loss ≥400 mL were correlated with PHLF. After eliminating the influence of these factors, we performed stratified analyses on the extent of resection and volume of intraoperative blood loss. The APRI score was more accurate than Child–Pugh, MELD, and ALBI scores in predicting PHLF in patients with major resection, minor resection, intraoperative blood loss ≥400 mL, and intraoperative blood loss <400 mL.

This study analyzed correlations between risk cohorts for APRI score and the incidence and grade of PHLF. The APRI score had a sensitivity of 72.2% and specificity of 68.0% for predicting PHLF at the optimal cutoff value of 0.55. Like Child–Pugh, MELD, and ALBI scores (Figures S1–S3), the APRI score stratified patients with HCC into surgical risk categories. We found that stratified APRI score accurately predicted the incidence and grade of PHLF in HCC patients undergoing curative liver resection. Patients with HCC in the high-risk cohort (APRI score >0.55) had significantly higher incidence and grade of PHLF than those in the low-risk cohort (APRI score ≤0.55). Considering the high incidence and grade of PHLF, patients in the high-risk cohort for APRI score are not suitable for major liver resection. Conversely, with low incidence and grade of PHLF, patients in low-risk cohort for APRI score are moderate candidates for hepatectomy.

The correlation between increased risk of PHLF and increased APRI scores logically is a result of the underlying liver disease, as reflected in the scores. The AST component of the APRI could be increased because of liver stress or damage caused by liver cirrhosis:²⁰ clearance of AST may have been impaired or HBV replication reactivated,³⁰ with release of AST from injured mitochondria.³² The platelet-count component of the APRI could be decreased because of sequestration and destruction of platelets in the enlarging spleen (portal hypertension)³³^,³⁴ or progressive liver fibrosis, which could reduce hepatocyte production of thrombopoietin and consequent decreased platelet production.³⁵ Low preoperative platelet counts have been associated with an increased risk of PHLF and mortality after hepatectomy.³⁶

We acknowledge that our study has limitations. First, most patients had HBV-related HCC, so the applicability of APRI scores to predicting PHLF in HCC patients with other etiological liver characteristics was not fully assessed. Second, the study was a retrospective analysis and only a preliminary exploration of the predictive value of the APRI score, and thus prospective studies with larger populations should be conducted to ascertain the value of the APRI score for predicting PHLF after hepatectomy for HCC.

Conclusion

Preoperative APRI scores can more accurately predict PHLF than Child–Pugh, MELD, and ALBI scores in patients undergoing liver resection for HCC. Determining the preoperative APRI score to predict PHLF may be useful in guiding surgical treatment of patients with HCC.

Supplementary materials

Figure S1

Correlations between patients with Child–Pugh grade A or grade B and incidence and grade of PHLF.

Notes: (A) Entire cohort of patients. (B) Patients positive for HBsAg and HBV DNA >2,000 IU/mL. (C) Patients positive for HBsAg and HBV DNA ≤2,000 IU/mL. (D) Patients with cirrhosis. (E) Patients without cirrhosis. (F) Patients with major liver resection. (G) Patients with minor liver resection. (H) Patients with intraoperative blood loss ≥400 mL. (I) Patients with intraoperative blood loss <400 mL (incidence [C, E, H], P>0.05; others, P<0.05 [χ² test]; grade [C, E, H], P>0.05; others, P<0.05 [Kruskal–Wallis H-test]).

Abbreviations: HBsAg, hepatitis B surface antigen; HBV, hepatitis B virus; PHLF, posthepatectomy liver failure.

cmar-11-1401s1.tif^{(597.7KB, tif)}

Figure S2

Correlation between the patients with MELD score >11 or <9 and the incidence and grade of PHLF.

Notes: (A) Entire cohort of patients. (B) Patients positive for HBsAg and HBV DNA >2,000(IU/mL). (C) Patients positive for HBsAg and HBV DNA ≤2,000 (IU/mL). (D) Patients with cirrhosis. (E) Patients without cirrhosis. (F) Patients with major liver resection. (G) Patients with minor liver resection. (H) Patients with intraoperative blood loss ≥400 (mL). (I) Patients with intraoperative blood loss <400 mL (incidence: [F] P<0.05, others P>0.05 [χ²-test]; grade: P<0.001 for all [Kruskal–Wallis H-test].

Abbreviations: HBsAg, hepatitis B surface antigen; HBV, hepatitis B virus; MELD, model for end-stage liver disease; PHLF, posthepatectomy liver failure.

cmar-11-1401s2.tif^{(231.2KB, tif)}

Figure S3

Correlation between the patients with ALBI grade 1 or grade 2–3 and the incidence and grade of PHLF.

Notes: (A) Entire cohort of patients. (B) Patients positive for HBsAg and HBV DNA >2,000 IU/mL. (C) Patients positive for HBsAg and HBV DNA ≤2,000 IU/mL. (D) Patients with cirrhosis. (E) Patients without cirrhosis. (F) Patients with major liver resection. (G) Patients with minor liver resection. (H) Patients with intraoperative blood loss ≥400 mL. (I) Patients with intraoperative blood loss <400 mL (incidence, P<0.001 for all [χ²-test]; grade, P<0.001 for all [Kruskal–Wallis H-test]).

Abbreviation: HBsAg, hepatitis B surface antigen; HBV, hepatitis B virus; ALBI, albumin–bilirubin; PHLF, posthepatectomy liver failure.

cmar-11-1401s3.tif^{(243.9KB, tif)}

Acknowledgments

This study was supported by the National Natural Science Foundation of China (81460426 and 81860502) and the National Science Foundation of China Youth Fund Project (81803007).

Abbreviations

HCC: hepatocellular carcinoma
PHLF: posthepatectomy liver failure
APRI: aspartate aminotransferase-to-platelet ratio index
MELD: model for end-stage liver disease
ALBI: albumin–bilirubin
HBV: hepatitis B virus

Footnotes

Author contributions

RYM and JZY contributed equally to this work. RYM, JZY, LQL, FXW, and GBW made substantial contributions to conception, design, analysis, and interpretation of data, and wrote and revised the manuscript. RYM, ZRL, and XMS collected and analyzed the data. TB and JC helped to collect and analyze the data. All authors contributed to data analysis, drafting and revising the article, gave final approval of the version to be published, and agree to be accountable for all aspects of the work.

Disclosure

The authors report no conflicts of interest in this work.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Figure S1

Correlations between patients with Child–Pugh grade A or grade B and incidence and grade of PHLF.

Abbreviations: HBsAg, hepatitis B surface antigen; HBV, hepatitis B virus; PHLF, posthepatectomy liver failure.

cmar-11-1401s1.tif^{(597.7KB, tif)}

Figure S2

Correlation between the patients with MELD score >11 or <9 and the incidence and grade of PHLF.

Abbreviations: HBsAg, hepatitis B surface antigen; HBV, hepatitis B virus; MELD, model for end-stage liver disease; PHLF, posthepatectomy liver failure.

cmar-11-1401s2.tif^{(231.2KB, tif)}

Figure S3

Correlation between the patients with ALBI grade 1 or grade 2–3 and the incidence and grade of PHLF.

Notes: (A) Entire cohort of patients. (B) Patients positive for HBsAg and HBV DNA >2,000 IU/mL. (C) Patients positive for HBsAg and HBV DNA ≤2,000 IU/mL. (D) Patients with cirrhosis. (E) Patients without cirrhosis. (F) Patients with major liver resection. (G) Patients with minor liver resection. (H) Patients with intraoperative blood loss ≥400 mL. (I) Patients with intraoperative blood loss <400 mL (incidence, P<0.001 for all [χ²-test]; grade, P<0.001 for all [Kruskal–Wallis H-test]).

Abbreviation: HBsAg, hepatitis B surface antigen; HBV, hepatitis B virus; ALBI, albumin–bilirubin; PHLF, posthepatectomy liver failure.

cmar-11-1401s3.tif^{(243.9KB, tif)}

[b1-cmar-11-1401] 1.Siegel RL, Miller KD, Jemal A. Cancer statistics, 2017. CA Cancer J Clin. 2017;67(1):7–30. doi: 10.3322/caac.21387. [DOI] [PubMed] [Google Scholar]

[b2-cmar-11-1401] 2.Heimbach JK, Kulik LM, Finn RS, et al. AASLD guidelines for the treatment of hepatocellular carcinoma. Hepatology. 2018;67(1):358–380. doi: 10.1002/hep.29086. [DOI] [PubMed] [Google Scholar]

[b3-cmar-11-1401] 3.European Association for the Study of the Liver Electronic address: easloffice@easloffice.eu; European Association for the Study of the Liver. EASL clinical practice guidelines: management of hepatocellular carcinoma. J Hepatol. 2018;69(1):182–236. doi: 10.1016/j.jhep.2018.03.019. [DOI] [PubMed] [Google Scholar]

[b4-cmar-11-1401] 4.Omata M, Cheng AL, Kokudo N, et al. Asia-Pacific clinical practice guidelines on the management of hepatocellular carcinoma: a 2017 update. Hepatol Int. 2017;11(4):317–370. doi: 10.1007/s12072-017-9799-9. [DOI] [PMC free article] [PubMed] [Google Scholar]

[b5-cmar-11-1401] 5.Zhong JH, Ke Y, Gong WF, et al. Hepatic resection associated with good survival for selected patients with intermediate and advanced-stage hepatocellular carcinoma. Ann Surg. 2014;260(2):329–340. doi: 10.1097/SLA.0000000000000236. [DOI] [PubMed] [Google Scholar]

[b6-cmar-11-1401] 6.Hernaez R, Solà E, Moreau R, Ginès P. Acute-on-chronic liver failure: an update. Gut. 2017;66(3):541–553. doi: 10.1136/gutjnl-2016-312670. [DOI] [PMC free article] [PubMed] [Google Scholar]

[b7-cmar-11-1401] 7.Schreckenbach T, Liese J, Bechstein WO, Moench C. Posthepatectomy liver failure. Dig Surg. 2012;29(1):79–85. doi: 10.1159/000335741. [DOI] [PubMed] [Google Scholar]

[b8-cmar-11-1401] 8.Rahbari NN, Garden OJ, Padbury R, et al. Posthepatectomy liver failure: a definition and grading by the International Study Group of liver surgery (ISGLS) Surgery. 2011;149(5):713–724. doi: 10.1016/j.surg.2010.10.001. [DOI] [PubMed] [Google Scholar]

[b9-cmar-11-1401] 9.Melloul E, Hübner M, Scott M, et al. Guidelines for perioperative care for liver surgery: enhanced recovery after surgery (ERAS) Society recommendations. World J Surg. 2016;40(10):2425–2440. doi: 10.1007/s00268-016-3700-1. [DOI] [PubMed] [Google Scholar]

[b10-cmar-11-1401] 10.Durand F, Valla D. Assessment of the prognosis of cirrhosis: childpugh versus MELD. J Hepatol. 2005;42(1):S100–S107. doi: 10.1016/j.jhep.2004.11.015. [DOI] [PubMed] [Google Scholar]

[b11-cmar-11-1401] 11.Malinchoc M, Kamath PS, Gordon FD, Peine CJ, Rank J, ter Borg PC. A model to predict poor survival in patients undergoing transjugular intrahepatic portosystemic shunts. Hepatology. 2000;31(4):864–871. doi: 10.1053/he.2000.5852. [DOI] [PubMed] [Google Scholar]

[b12-cmar-11-1401] 12.Kamath PS, Wiesner RH, Malinchoc M, et al. A model to predict survival in patients with end-stage liver disease. Hepatology. 2001;33(2):464–470. doi: 10.1053/jhep.2001.22172. [DOI] [PubMed] [Google Scholar]

[b13-cmar-11-1401] 13.Wiesner R, Edwards E, Freeman R, et al. Model for end-stage liver disease (MELD) and allocation of donor livers. Gastroenterology. 2003;124(1):91–96. doi: 10.1053/gast.2003.50016. [DOI] [PubMed] [Google Scholar]

[b14-cmar-11-1401] 14.Johnson PJ, Berhane S, Kagebayashi C, et al. Assessment of liver function in patients with hepatocellular carcinoma: a new evidence-based Approach—the ALBI grade. J Clin Oncol. 2015;33(6):550–558. doi: 10.1200/JCO.2014.57.9151. [DOI] [PMC free article] [PubMed] [Google Scholar]

[b15-cmar-11-1401] 15.Wai C. A simple noninvasive index can predict both significant fibrosis and cirrhosis in patients with chronic hepatitis C. Hepatology. 2003;38(2):518–526. doi: 10.1053/jhep.2003.50346. [DOI] [PubMed] [Google Scholar]

[b16-cmar-11-1401] 16.Chan AW, Chan RC, Wong GL, et al. New simple prognostic score for primary biliary cirrhosis: albumin-bilirubin score. J Gastroenterol Hepatol. 2015;30(9):1391–1396. doi: 10.1111/jgh.12938. [DOI] [PubMed] [Google Scholar]

[b17-cmar-11-1401] 17.Wang YY, Zhong JH, Su ZY, et al. Albumin-bilirubin versus Child-Pugh score as a predictor of outcome after liver resection for hepatocellular carcinoma. Br J Surg. 2016;103(6):725–734. doi: 10.1002/bjs.10095. [DOI] [PubMed] [Google Scholar]

[b18-cmar-11-1401] 18.Chen RC, Cai YJ, Wu JM, et al. Usefulness of albumin-bilirubin grade for evaluation of long-term prognosis for hepatitis B-related cirrhosis. J Viral Hepat. 2017;24(3):238–245. doi: 10.1111/jvh.12638. [DOI] [PubMed] [Google Scholar]

[b19-cmar-11-1401] 19.Lin ZH, Xin YN, Dong QJ, et al. Performance of the aspartate aminotransferase-to-platelet ratio index for the staging of hepatitis C-related fibrosis: an updated meta-analysis. Hepatology. 2011;53(3):726–736. doi: 10.1002/hep.24105. [DOI] [PubMed] [Google Scholar]

[b20-cmar-11-1401] 20.Shiha G, Ibrahim A, Helmy A, et al. Asian-Pacific association for the study of the liver (APASL) consensus Guidelines on invasive and noninvasive assessment of hepatic fibrosis: a 2016 update. Hepatol Int. 2017;11(1):1–30. doi: 10.1007/s12072-016-9760-3. [DOI] [PubMed] [Google Scholar]

[b21-cmar-11-1401] 21.Bruix J, Reig M, Sherman M. Evidence-based diagnosis, staging, and treatment of patients with hepatocellular carcinoma. Gastroenterology. 2016;150(4):835–853. doi: 10.1053/j.gastro.2015.12.041. [DOI] [PubMed] [Google Scholar]

[b22-cmar-11-1401] 22.Hermanek P, Wittekind C. The pathologist and the residual tumor (R) classification. Pathol Res Pract. 1994;190(2):115–123. doi: 10.1016/S0344-0338(11)80700-4. [DOI] [PubMed] [Google Scholar]

[b23-cmar-11-1401] 23.Pol B, Campan P, Hardwigsen J, Botti G, Pons J, Le Treut YP. Morbidity of major hepatic resections: a 100-case prospective study. Eur J Surg. 1999;165(5):446–453. doi: 10.1080/110241599750006686. [DOI] [PubMed] [Google Scholar]

[b24-cmar-11-1401] 24.Berzigotti A, Reig M, Abraldes JG, Bosch J, Bruix J. Portal hypertension and the outcome of surgery for hepatocellular carcinoma in compensated cirrhosis: a systematic review and meta-analysis. Hepatology. 2015;61(2):526–536. doi: 10.1002/hep.27431. [DOI] [PubMed] [Google Scholar]

[b25-cmar-11-1401] 25.Huang G, Lau WY, Shen F, et al. Preoperative hepatitis B virus DNA level is a risk factor for postoperative liver failure in patients who underwent partial hepatectomy for hepatitis B-related hepatocellular carcinoma. World J Surg. 2014;38(9):2370–2376. doi: 10.1007/s00268-014-2546-7. [DOI] [PubMed] [Google Scholar]

[b26-cmar-11-1401] 26.An HJ, Jang JW, Bae SH, et al. Sustained low hepatitis B viral load predicts good outcome after curative resection in patients with hepatocellular carcinoma. J Gastroenterol Hepatol. 2010;25(12):1876–1882. doi: 10.1111/j.1440-1746.2010.06416.x. [DOI] [PubMed] [Google Scholar]

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PERMALINK

Preoperative aspartate aminotransferase-to-platelet-ratio index as a predictor of posthepatectomy liver failure for resectable hepatocellular carcinoma

Rong-Yun Mai

Jia-Zhou Ye

Zhong-Rong Long

Xian-Mao Shi

Tao Bai

Jie Chen

Le-Qun Li

Guo-Bin Wu

Fei-Xiang Wu

Abstract

Purpose

Patients and methods

Results

Conclusion

Introduction

Patients and methods

Patients

Diagnosis and definitions

Treatments and follow-up

Calculation of score values

Statistical analysis

Results

Clinicopathological characteristics

Table 1.

Morbidity and mortality

Independent predictors of PHLF

Table 2.

Table 3.

Discriminatory performance of Child–Pugh, MELD, ALBI, and APRI scores for predicting PHLF

Figure 1.

Correlation between APRI score and incidence and grade of PHLF

Figure 2.

Discussion

Conclusion

Supplementary materials

Acknowledgments

Abbreviations

Footnotes

References

Associated Data

Supplementary Materials

ACTIONS

PERMALINK

RESOURCES

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