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Erschienen in: Hepatology International 6/2022

Open Access 25.08.2022 | Original Article

Prognosis factors of predicting survival in spontaneously ruptured hepatocellular carcinoma

verfasst von: Peng Wang, Abraham S Moses, Chao Li, Song Chen, Xun Qi, Ke Xu, Hai-bo Shao, Xiang-jun Han

Erschienen in: Hepatology International | Ausgabe 6/2022

Abstract

Aim

To investigate predictors affecting survival in patients with spontaneously ruptured hepatocellular carcinoma (srHCC).

Methods

One-hundred-and-twenty-seven patients experiencing srHCC between January 2010 and December 2020 were enrolled. The clinical features, treatments, and outcomes were reviewed. Statistics included univariate analysis, Kaplan–Meier analysis, multivariate analysis using Cox proportional hazards model and logistic regression model, and receiver operating characteristic (ROC) curve analysis.

Results

Of the 127 srHCC patients, 24, 42, and 61 patients received conservative treatment, surgical treatment, and transarterial chemoembolization/embolization (TACE/TAE) treatment at HCC rupture, respectively. The largest tumor size [hazard ratio (HR) 1.127; p < 0.001], Barcelona-Clinic Liver Cancer (BCLC) stage (HR 2.184, p = 0.023), international normalized ratio (INR; HR 3.895; p = 0.012), total bilirubin level (TBil; HR 1.014; p = 0.014), TACE after rupture (compared with conservative treatment) (HR 0.549; p = 0.029), TACE/TAE and surgery at rupture, and albumin level (HR 0.949; p = 0.017) were independent predictors affecting overall survival. A survival predictive model for HCC rupture (SPHR) using these predictors was created. ROC analysis showed that the area under the curve (AUC) of the SPHR model for 30 day survival was 0.925, and the AUCs of the model for end-stage liver disease (MELD) score and Child–Pugh score for 30 day survival were 0.767 and 0.757, respectively.

Conclusion

The largest tumor size, advanced BCLC stage, higher INR and TBil, lower albumin, and conservative treatment were negative independent predictors for overall survival. The SPHR model may be more suitable than the MELD score and Child–Pugh score for predicting 30 day survival in srHCC.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1007/​s12072-022-10403-x.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
AFP
Alpha-fetoprotein
ALB
Albumin
ALT
Alanine transaminase
APTT
Activated partial thromboplastin time
AUC
Area under the curve
BCLC
Barcelona clinic liver cancer
Cr
Creatinine
CT
Computed tomography
ECOG
Eastern cooperative oncology group
MRI
Magnetic resonance imaging
HB
Hemoglobin
HBV
Hepatitis B virus
HCC
Hepatocellular carcinoma
HCV
Hepatitis C virus
HR
Hazard ratio
INR
International normalized ratio
MELD
Model for end-stage liver disease
OS
Overall survival
PLT
Platelet count
PT
Prothrombin time
PTA
Prothrombin activity
RBC
Red blood cell count
ROC
Receiver operating characteristic
SPHR
Survival predictive model for HCC rupture
srHCC
Spontaneously ruptured hepatocellular carcinoma
TACE
Transarterial chemoembolization
TAE
Transcatheter arterial embolization
TBil
Total bilirubin
UICC
The Union for International Cancer Control
WBC
White blood cell count

Introduction

Hepatocellular carcinoma (HCC) is one of the most common malignant tumors, ranking fifth in incidence and third in tumor-related deaths worldwide [1, 2]. Spontaneous tumor rupture with catastrophic intraperitoneal hemorrhage is a rare and life-threatening complication of HCC, occurring in 2.3–26% of patients with HCC in Asia and less than 3% in the West [3, 4]. A mortality rate of 25–75% is attributed to HCC rupture during the acute phase, with a median survival of 1.2–4 months if untreated [5]. Therefore, identifying prognostic factors and accurately predicting survival will be of great value for patients with HCC rupture. Currently, two scoring systems, the Child–Pugh classification and model for end-stage liver disease (MELD) score, are mainly used for patient counseling, clinical decision-making, and stratifying risk in therapeutic clinical trials [6]. However, as a special condition of HCC rupture, it remains unclear which scoring system has greater predictive value for short-term survival.
Therefore, we conducted the present retrospective study to investigate prognostic factors affecting overall survival in patients with HCC rupture and further investigate the scoring system with greater predictive value in the assessment of 30-day survival after HCC rupture.

Methods

Patients

One-hundred-and-twenty-seven patients with spontaneously ruptured HCC were enrolled in our institution between January 2010 and December 2020. The diagnostic criteria of HCC followed Asia–Pacific clinical practice guidelines on the management of hepatocellular carcinoma [7]. Spontaneous rupture of HCCs was diagnosed as abrupt abdominal pain; disruption of the peritumoral liver capsule with enhanced fluid collection in the perihepatic area adjacent to HCC by contrast-enhanced computed tomography (CT), magnetic resonance imaging (MRI) or ultrasound; and hematoma around the liver as revealed by radiological examinations and/or bloody ascites by abdominal paracentesis. Patient data at the time of HCC rupture were recorded, including demographics, hemodynamic status, medical history, tumor characteristics, laboratory data, treatment modality, therapeutic strategies in the follow-up, and survival. This study was conducted in accordance with the Declaration of Helsinki and approved by our institution’s Ethics Committee.

Treatment

All patients with ruptured HCC immediately received careful conservative treatment, including anti-shock measures and patient condition assessment. Blood biochemical indices and imaging characteristics of HCC were rapidly investigated in the emergency department. Following the evaluation of key variables, including hemodynamic state, tumor status, laboratory data, Child–Pugh score, MELD score, Eastern Cooperative Oncology Group (ECOG) score, and cardiopulmonary function, therapeutic strategies were designed by surgeons, interventional physicians, and patients’ families within 48 h.

Surgical treatment

The surgical indications included a stable hemodynamic state, satisfactory hepatorenal and cardiopulmonary reservation, and tumor resection or packing. The contraindications included poor liver function (Child C), multifocal HCC, poorly controlled hepatic encephalopathy, severe coagulopathy, main portal vein or hepatic vein invasion, metastasis, and poor heart or lung function. All operations were performed by experienced hepatobiliary surgeons.

TACE/TAE

Patients contraindicated for surgery were recommended to undergo transarterial chemoembolization/transcatheter arterial embolization (TACE/TAE), and the contraindications included main portal vein thrombosis, arteriovenous fistula, Child–Pugh C cirrhosis, severe coagulopathy, and hepatic encephalopathy. Tumor blood feeding and location were observed through transcatheter hepatic arterial angiography. After a microcatheter was selectively inserted into the feeding tumor artery, embolization was performed with lipiodol, gelatin sponge, or polyvinyl alcohol particles. Common hepatic angiography was then repeated to confirm successful embolization of tumor-feeding arteries.

Conservative treatment

Patients contraindicated for surgery and TACE/TAE received careful conservative treatments, including intensive care, hemostasis treatment, antishock measures, parenteral nutrition, correction of coagulopathy, and analgesics.

Follow-up

Follow-up was performed every 1–3 months. Contrast-enhanced CT/MRI, lung CT, liver function, and alpha-fetoprotein levels were evaluated to determine further therapy for these patients. If patients failed to follow up for more than 6 months, the reason was investigated and recorded by doctors via telephone. Overall survival (OS) was defined as the interval from the date of rupture to the date of death or the last follow-up.

Statistical analysis

Continuous variables were expressed as the means ± SD, and categorical variables were expressed as a number. The survival rate was analyzed using the Kaplan–Meier method, the differences were compared using the log-rank test, and the Bonferroni method was used if more than two factors were included in the analysis. Univariate analysis and multivariate analysis were performed using a Cox proportional hazards model to identify the independent factors of overall survival. Independent factors in multivariate analysis were used to create a new survival predictive model for HCC rupture (hereafter referred to as SPHR) using a logistic regression model. To compare the accuracy of the MELD score, Child–Pugh score, and SPHR model as predictors of 30 day survival, receiver operating characteristic (ROC) curve analysis was conducted to obtain the cutoff value, sensitivity, and specificity. p < 0.05 was considered significant. Statistical analyses were performed using SPSS c21.0 software (Chicago, United States) and MedCalc 20.019 software (Los Angeles, United States).

Results

Clinical characteristics of spontaneously ruptured HCC patients

One-hundred-and-twenty-seven patients with a diagnosis of spontaneous HCC rupture were enrolled in our study. The mean age of the patients was 55 years. Thirty-eight (29.9%) patients were diagnosed with liver cancer and received TACE treatment before tumor rupture. At the time of rupture, 42 (33.1%), 61 (48.0%) and 24 (18.9%) patients received surgery, TACE/TAE, and conservative treatment, respectively. The surgical management included HCC curative resection (36/42, 85.7%) and perihepatic packing (6/42, 14.3%). Follow-up treatment was started at an average of 13.1 days after HCC rupture, 40 (31.5%) patients received consequent TACE including one plus sorafenib, 87 (68.5%) patients underwent conservative treatment including five cases of sorafenib, no patients received tumor ablation or radiation, and no HCC curative resection or liver transplantation was performed. No patients experienced recurrence of hemorrhage in the follow-up. The mean survival time was 303.0 days, and the median survival time was 165 days. The baseline characteristics and outcomes of the patients are summarized in Table 1.
Table 1
Clinical characteristics of patients with ruptured HCC
Variables
n (%) or mean ± SD
Age (years)
55.01 ± 11.09
Largest tumor size (cm)
8.39 ± 4.11
Survival time (day)
302.97 ± 380.22
Gender
 Male
106 (83.50)
 Female
21 (16.50)
Cirrhosis*
104 (81.90)
Viral hepatitis
 
 HBV
104 (81.90)
 HCV
5 (3.90)
Tumor location
 Left lobe
39 (30.71)
 Right lobe
73 (57.48)
 Both lobe
15 (11.81)
Rupture location
 Left lobe
45 (35.43)
 Right lobe
82 (64.57)
Treatment before rupture
 None
89 (70.08)
 TACE
38 (29.92)
Treatment at rupture
 TACE/TAE
61 (48.00)
 Surgery
42 (33.10)
 Conservative
24 (18.90)
Treatment after rupture
 
 Conservative
87 (68.50)
 TACE
40 (31.50)
Tumor number
 1
57 (44.90)
 2–3
35 (27.55)
  > 3
35 (27.55)
Tumor size
  < 5 cm
33 (25.98)
  ≥ 5 cm
94 (74.02)
Up-to-seven**
 
  ≤ 7
34 (26.77)
  > 7
93 (73.23)
BCLC stage
 
 A
10 (7.90)
 B
86 (67.70)
 C
31 (24.40)
UICC TNM stage
 IIIC
86 (67.72)
 IVA
28 (22.05)
 IVB
13 (10.23)
Child–Pugh class
 A
67 (52.80)
 B
44 (34.60)
 C
16 (12.60)
Heart rate
90.99 ± 19.74
AFP, ng/mL
  ≤ 400
61 (48.03)
  > 400
66 (51.97)
WBC, × 109/L
10.49 ± 5.70
RBC, × 1012/L
3.71 ± 0.95
HB, g/L
108.45 ± 25.08
PLT, × 109/L
168.33 ± 86.75
PT, S
15.61 ± 2.94
INR
1.33 ± 0.39
APTT, S
37.81 ± 6.89
PTA, %
74.62 ± 21.14
ALT, U/L
98.86 ± 133.23
ALB, g/L
31.94 ± 7.72
TBil, umol/L
27.53 ± 27.51
K + , mmol/L
4.18 ± 0.60
Cr, umol/L
82.22 ± 41.03
Child–Pugh score
7.11 ± 1.87
MELD score
11.18 ± 4.80
Blood transfusion cases
33(25.98)
Blood transfusion volume (mL)
968.33 ± 702.76
Survival time > 1 month
95 (74.80)
Survival time > 1 year
40 (31.50)
HBV Hepatitis B virus, HCV Hepatitis C virus, TACE Transarterial chemoembolization, TAE Transcatheter arterial embolization, BCLC Barcelona Clinic Liver Cancer, UICC The Union for International Cancer Control, AFP alpha-fetoprotein, WBC White blood cell count, RBC Red blood cell count, HB hemoglobin, PLT Platelet count, PT prothrombin time, INR International normalized ratio, APTT Activated partial thromboplastin time, PTA Prothrombin activity, ALT Alanine transaminase, ALB Albumin, TBil Total bilirubin, Cr Creatinine, MELD Model for end-stage liver disease
*Cirrhosis was diagnosed by imaging radiologists according to CT, MRI or ultrasound at the diagnosis of HCC
**Up-to-seven: hepatocellular carcinomas with seven as the sum of the largest tumor size (in cm) and the number of tumors

Univariate analysis for overall survival

Univariate analysis showed that the largest tumor size, tumor number, Up-to-seven criteria, Barcelona-Clinic Liver Cancer (BCLC) C stage, Union for International Cancer Control (UICC) TNM IV stage, prothrombin time (PT) level, international normalized ratio (INR) level, activated partial thromboplastin time (APTT) level, total bilirubin (TBil) level, creatinine (Cr) level, Child–Pugh score and MELD score were significantly associated with poor survival in patients with HCC rupture. In addition, TACE treatment after rupture, prothrombin time activity (PTA) level, and albumin (ALB) level were inversely associated with poor survival. Compared with conservative treatment at rupture, TACE/TAE and surgery were protective factors for patient survival (Table 2).
Table 2
Univariate analysis of risk factors related to overall survival for spontaneous rupture of hepatocellular carcinoma
Variables
Patients (n = 127)
HR
95% CI
p
Age (years)
55.01 ± 11.09
1.006
0.986–1.027
0.541
Gender (male/female)
106/21
1.047
0.796–1.377
0.741
Largest tumor size (cm)
8.39 ± 4.11
1.090
1.039–1.143
 < 0.001
Tumor number
2.42 ± 1.55
1.471
1.266–1.710
 < 0.001
Tumor size (< 5 cm/ ≥ 5 cm)
33/94
1.572
0.964–2.565
0.070
Up-to-seven (≤ 7/ > 7)
34/93
2.817
1.660–4.783
 < 0.001
Tumor rupture location
 Left lobe ( control)
45
 Right lobe
82
0.957
0.616–1.485
0.844
BCLC
 A + B (control)
96
 C
31
3.111
1.869–5.180
 < 0.001
UICC TNM stage
 IIIC (control)
86
 IVA + IVB
41
2.213
1.402–3.495
 < 0.001
Treatment before rupture
 None
89
 TACE
38
0.705
0.445–1.118
0.138
Treatment after rupture
 Conservative (control)
87
 TACE
40
0.416
0.253–0.686
0.001
Treatment at rupture
 Conservative (control)
24
 TAE/TACE
61
0.345
0.197–0.604
 < 0.001
 Surgery
42
0.173
0.092–0.324
 < 0.001
Virus
 None (control)
18
 HBV
104
0.448
0.121–1.660
0.230
 HCV
5
0.431
0.132–1.412
0.165
Heart rate
90.99 ± 19.74
1.002
0.990–1.014
0.734
AFP, ng/mL
  ≤ 400 (control)
61
  > 400 
66
1.511
0.976–2.340
0.064
WBC, × 109/L
10.49 ± 5.70
1.006
0.970–1.043
0.758
RBC, × 1012/L
3.71 ± 0.95
0.921
0.722–1.174
0.506
HB, g/L
108.45 ± 25.08
0.995
0.986–1.003
0.227
PLT, × 109/L
168.33 ± 86.75
1.001
0.998–1.004
0.568
PT, S
15.61 ± 2.94
1.123
1.042–1.211
0.002
INR
1.33 ± 0.39
3.422
1.736–6.746
 < 0.001
APTT, S
37.81 ± 6.89
1.059
1.023–1.096
0.001
PTA, %
74.62 ± 21.14
0.988
0.979–0.998
0.016
ALT, U/L
98.86 ± 133.23
1.001
1.000–1.002
0.102
ALB, g/L
31.94 ± 7.72
0.957
0.929–0.985
0.003
TBil, umol/L
27.53 ± 27.51
1.017
1.010–1.023
 < 0.001
K+, mmol/L
4.18 ± 0.60
1.061
0.710–1.584
0.774
Cr, umol/L
82.22 ± 41.03
1.006
1.001–1.010
0.014
Child–Pugh score
7.11 ± 1.87
1.273
1.129–1.435
 < 0.001
MELD score
11.18 ± 4.80
1.113
1.062–1.166
 < 0.001
Blood transfusion volume (mL)
968.33 ± 702.76
0.686
0.416–1.131
0.140
BCLC Barcelona clinic liver cancer, UICC The Union for International Cancer Control, TACE Transarterial chemoembolization, TAE Transcatheter arterial embolization, HBV Hepatitis B virus, HCV Hepatitis C virus, AFP alpha-fetoprotein, WBC White blood cell count, RBC Red blood cell count, HB hemoglobin, PLT Platelet count, PT prothrombin time, INR International normalized ratio, APTT Activated partial thromboplastin time, PTA Prothrombin activity, ALT Alanine transaminase, ALB Albumin, TBil Total bilirubin, Cr Creatinine, MELD Model for end-stage liver disease

Multivariate analysis for overall survival

Stepwise multivariate regression analysis for overall survival was performed following univariate analysis. Up-to-seven criteria and TNM stage were confounding factors for BCLC stage. Child–Pugh score, MELD score and PT were confounding factors for INR and/or TBil. No confounding factors were included in the multivariable analysis (Table 3). The multivariate regression analysis revealed that the largest tumor size [hazard ratio (HR) 1.127; 95% CI 1.056–1.203; p < 0.001], BCLC C stage (HR 2.184; 95% CI 1.116–4.276; p = 0.023), INR level (HR 3.895; 95% CI 1.344–11.895; p = 0.012) and TBil level (HR 1.014; 95% CI 1.003–1.026; p = 0.014) were independent risk factors. TACE treatment after rupture (compared with conservative treatment) (HR 0.549; 95% CI 0.321–0.939; p = 0.029), TACE/TAE and surgery at rupture, and ALB level (HR 0.949; 95% CI 0.908–0.990; p < 0.017) were independent protective factors. The cumulative overall survival rates of ruptured HCC patients with different treatments at rupture differed significantly. The median survival time in patients with conservative treatment, TACE/TAE, and surgery at rupture was 62 days, 206 days, and 599 days, respectively (p < 0.001) (Fig. 1). Pairwise comparison using the Bonferroni method showed that differences in conservative vs. TAE/TACE, conservative vs. surgery, and TAE/TACE vs. surgery were also significant (χ2 = 11.903, p = 0.001; χ2 = 36.830, p < 0.001; χ2 = 7.315, p = 0.007). Compared with conservative treatment, patients receiving TACE treatment after HCC rupture exhibited longer survival. The median survival time was 477 days for patients receiving TACE treatment after HCC rupture and 170 days for patients who underwent conservative treatment after HCC rupture (p < 0.001) (Fig. 2). Independent risk factors for overall survival in patients treated with surgery, TACE or conservative treatment at HCC rupture were also analyzed. The results are shown in the supplementary materials (Table S1, Table S2 and Table S3).
Table 3
Multivariate analysis of risk factors related to overall survival in patients with hepatocellular carcinoma rupture
Variables
Patients (n = 127)
HR
95% CI
p
Largest tumor size (cm)
8.39 ± 4.11
1.127
1.056–1.203
 < 0.001
Tumor number
2.42 ± 1.55
1.126
0.915–1.385
0.263
BCLC
 A + B (control)
96
 C
31
2.184
1.116–4.276
0.023
Treatment before rupture
 None
89
 TACE
38
1.068
0.602–1.895
0.822
Treatment after rupture
 Conservative (control)
87
 TACE
40
0.549
0.321–0.939
0.029
Treatment at rupture
 Conservative (control)
24
 TACE/TAE
61
0.300
0.151–0.596
0.001
 Surgery
42
0.196
0.091–0.425
 < 0.001
ALB, g/L
31.94 ± 7.72
0.949
0.908–0.990
0.017
TBil, umol/L
27.53 ± 27.51
1.014
1.003–1.026
0.014
Cr, umol/L
82.22 ± 41.03
1.005
1.000–1.010
0.073
APTT, S
37.81 ± 6.89
0.947
0.894–1.004
0.067
INR,
1.33 ± 0.39
3.895
1.344–11.287
0.012
PTA, %
74.62 ± 21.14
1.012
0.991–1.033
0.263
BCLC Barcelona clinic liver cancer, TACE Transarterial chemoembolization, TAE Transcatheter arterial embolization, ALB Albumin, TBil Total bilirubin, Cr Creatinine, APTT Activated partial thromboplastin time, INR International normalized ratio, PTA Prothrombin activity

Predictive power evaluation of the MELD, Child–Pugh and SPHR model scores for 30 day survival

To investigate the predictive power of the MELD, Child–Pugh and SPHR model scores for 30 day survival, ROC curve analysis was conducted. The area under the curve (AUC) of the MELD score was 0.767, and the cutoff value for the MELD score was 13.4 for 30 day survival of HCC ruptured patients, with a sensitivity and specificity of 58.3% and 86.2%, respectively. In addition, the cutoff value for the MELD score was 9.0, with a sensitivity and specificity of 83.3% and 51.6%, respectively. The AUC of Child–Pugh score was 0.757, and the cutoff value was 8.5 for the 30 day survival of HCC ruptured patients, with a sensitivity and specificity of 54.2% and 84.2%, respectively. The SPHR model was described by the formula: Y = 0.078 × the largest tumor size + 0.250 × BCLC (A/B: 0, C: 1) + − 0.568 × TACE at rupture (No: 0, Yes: 1) + − 0.903 × Surgery at rupture (No: 0, Yes: 1) + 0.022 × ALB + 0.024 × TBil + 5.839 × INR–11.389. The AUC of SPHR was 0.925, the cutoff value for SPHR was 0.415, and the sensitivity and specificity were 75.0% and 97.9%, respectively. The AUC of the SPHR differed significantly from the AUC of the MELD score and Child–Pugh score (p = 0.010 and p = 0.002, respectively), and no significant difference in the AUC was found between the MELD score and Child–Pugh score (p = 0.849) (Fig. 3). Moreover, the predictability of SPHR in HBV and non-HBV HCC patients was evaluated, and the AUCs of SPHR in HBV and non-HBV HCC patients were 0.910 and 0.979, respectively (Supplementary Figure S1).

Discussion

Spontaneous HCC rupture is a rare, life-threatening, and acute abdominal disease that accounts for 6–10% mortality in patients with HCC [8]. Various studies have demonstrated that HCC rupture may be attributed to increased intratumoral pressure, tumor size of > 5 cm, rapid growth of tumor volume, tumor necrosis, vessel obstruction by tumor thrombus, and subcapsular location [911]. However, factors related to patient survival still need further investigation. The present results showed that hepatocellular tumor size, treatment at rupture and in the follow-up, and hepatic function at rupture were significantly associated with survival following HCC rupture. In addition, the MELD score was relatively superior to the Child–Pugh score for predicting short-term survival without a significant difference. Furthermore, the SPHR model calculated in the present study showed a more accurate predictive efficacy for the short-term survival of HCC rupture.
The Child–Pugh score and MELD score are commonly used to assess liver function in patients with liver disease [12]. The Child–Pugh classification contains five variables, and two clinical determinants, ascites and encephalopathy, are based on subjective assessment [13]. The MELD score is based only on laboratory data, which should be more objective and accurate than the Child–Pugh score [14]. Previous studies have shown that the Child–Pugh score and MELD score are associated with the survival of patients with spontaneous HCC rupture [1518], and our study demonstrated similar results. Furthermore, the predictive powers of both scores for 30 day survival were evaluated in our study, and the results showed that MELD was relatively superior to Child–Pugh for predicting short-term survival, although the difference was not significant. This result may be due to ascites evaluation in the Child–Pugh scoring system. From our perspective, intraperitoneal hematocele and infection caused by tumor rupture can stimulate the peritoneum to produce or increase ascites [19], which is different from the ascites caused by hepatic decompensation. Therefore, ascites as an index in HCC ruptured patients may not be accurate for evaluating hepatic function. Moreover, independent variables in multivariate analysis for overall survival were used to create a new predictive model, termed SPHR. The predictive value of the SPHR model was more accurate than the MELD score and Child–Pugh score for 30 day survival in patients. All of the abovementioned results may be helpful in patients’ clinical evaluation.
In the present study, TBil level (HR 1.014; p = 0.014) and INR level (HR 3.895; p = 0.012) were independent risk factors for overall survival of patients with HCC rupture in multivariate analysis. Moreover, TBil level and PT/INR level are variables contained in both the Child–Pugh and MELD systems and play an important role in influencing predictions of overall survival of patients [15, 20]. Therefore, the TBil level and PT/INR level of patients at HCC rupture merit greater emphasis in clinical practice. As confounding factors for TBil level and INR level, Child–Pugh and MELD were not included in the multivariate analysis. Our previous report showed that treatment before rupture was a risk factor related to overall survival [15], but this was not observed in the present study. This discrepancy may be due to the increased sample size and extended follow-up period. Cumulative survival analysis in the present study showed that patients with treatment before rupture demonstrated a significantly lower survival than patients without treatment before rupture within 500 days, which is similar to the previous study. However, with the extension of the follow-up period, the survival difference gradually lost its statistical significance (Supplementary Figure S2).
Acute and effective hemostasis is essential for the treatment of patients with HCC rupture. In the present study, surgery and TAE/TACE were proven to be more effective and beneficial therapies for HCC ruptured patients than conservative treatment. Similar to previous reports [21, 22], our results revealed that patients who received surgery achieved longer survival than patients who underwent TAE/TACE. TAE/TACE has been established as an effective, minimally invasive treatment for immediate hemostasis since the 1980s [4]. However, TAE/TACE for tumor treatment is less efficacious than surgery, and patients undergoing surgery often have better hepatorenal reservation. Additionally, the study by Chen et al. showed that spontaneous tumor rupture has no impact on perioperative morbidity or mortality after hepatectomy [23]. Thus, surgical and TACE/TAE treatment should be prioritized for patients with HCC rupture in the clinic. Moreover, it has been known that TACE is an effective strategy to control tumor growth in HCC patients, and it provides a better survival than supportive care treatment [24, 25]. The results of the present study showed similar findings, in that TACE was more effective than conservative treatment in the follow-up.
There are several limitations in this study. First, the study is inherently limited by its retrospective design. Second, the sample size of the present study was relatively small. Third, the validation of the SPHR model was not conducted in an independent cohort. Therefore, a large-scale, multicenter study may be warranted in the future. Moreover, the role of antiviral treatment on the prognosis of patients with HCC rupture was not investigated, and further effort will be needed in the future.

Conclusion

Spontaneous rupture of HCC is a fatal condition with a poor prognosis. Our study demonstrated that the largest tumor size, BCLC stage, treatment at rupture, treatment after rupture, ALB level, TBil level, Cr level, and INR level were the most crucial predictors associated with overall survival. Additionally, the MELD score was relatively better for predicting 30 day survival in patients with HCC rupture than the Child–Pugh score without a significant difference, and the SPHR model was more valuable than the MELD score and Child–Pugh score for predicting 30 day survival in patients with HCC rupture.

Acknowledgements

We thank American Journal Experts for English editing.

Declarations

Conflict of interest

Peng Wang, Abraham S Moses, Chao Li, Song Chen, Xun Qi, Ke Xu, Hai-bo Shao and Xiang-jun Han declare that we have no conflicts of interest.
This study was approved by the ethics committee of the First Affiliated Hospital of China Medical University with approval number 2013-112-2. All patients provided written consent. All methods were carried out in accordance with Declaration of Helsinki.
Not applicable as this is not a case report; no individual patient identifiers, images, etc. has been used.

Research involves human and animal participants

Not applicable.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​.

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Metadaten
Titel
Prognosis factors of predicting survival in spontaneously ruptured hepatocellular carcinoma
verfasst von
Peng Wang
Abraham S Moses
Chao Li
Song Chen
Xun Qi
Ke Xu
Hai-bo Shao
Xiang-jun Han
Publikationsdatum
25.08.2022
Verlag
Springer India
Erschienen in
Hepatology International / Ausgabe 6/2022
Print ISSN: 1936-0533
Elektronische ISSN: 1936-0541
DOI
https://doi.org/10.1007/s12072-022-10403-x

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