Factors Affecting the Clinical Outcome of Hepatocellular Carcinoma in Elderly Patients: A Retrospective, Multicenter Study
Takehiro Matsumoto1, Naota Taura1*, Tatsuki Ichikawa2, Hisamitsu Miyaaki1, Eisuke Ozawa3, Masaya Shigeno 4, Yuji Kato5, Takashi Goto6, Noboru Kinoshita7, Nobuyoshi Fukushima8, Kazuo Ohba9, Hiroshi Yatsuhashi10, Kazuhiko Nakao1
1Department of Gastroenterology and Hepatology, Graduate School of Biomedical Sciences Nagasaki University, Nagasaki, Japan
2Department of Gastroenterology
and Hepatology, Nagasaki Harbor Medical Center, Nagasaki, Japan
3Department of
Gastroenterology and Hepatology, Sasebo City General Hospital, Nagasaki, Japan
4Department of
Gastroenterology and Hepatology, Japanese Red Cross Nagasaki Genbaku Hospital,
Nagasaki, Japan
5Department of
Gastroenterology and Hepatology, Oita Prefectural Hospital, Oita, Japan
6Director Digestive
Organ Center, Japan Labour and Welfare Organization Nagasaki Labour Welfare
Hospital, Nagasaki, Japan
7Department of
Gastroenterology and Hepatology, Sasebo Chuo Hospital, Nagasaki, Japan
8Department of
Internal Medicine, Nagasaki Prefectural Goto Central Hospital, Nagasaki, Japan
9Department of
Gastroenterology and Hepatology, Isahaya Health Insurance General Hospital,
Nagasaki,
Japan
10Clinical Research
Center, National Hospital Organization Nagasaki Medical Center, Nagasaki, Japan
*Corresponding author: Naota Taura, Department of Gastroenterology and Hepatology, Graduate School of Biomedical Sciences, Nagasaki University, Sakamoto 1-7-1, Nagasaki, Japan. Tel: +81958197482, Fax: +81958197482; Email: ntaura-gi@umin.ac.jp
Received Date: 14 August, 2018; Accepted Date: 12 September, 2018; Published Date:19 September, 2018
Citation: Matsumoto T, Taura N, Ichikawa T, Miyaaki H, Ozawa E, et al. (2018) Factors Affecting the Clinical Outcome of Hepatocellular Carcinoma in Elderly Patients: A Retrospective, Multicenter Study. J Aging Neuro Psychol: JANP-117. DOI: 10.29011/JANP-117. 100017
Abstract
Background: The incidence of hepatocellular carcinoma (HCC) in
Japanese elderly patients (ages sixty -five and older) has been on the
increase, but the clinical characteristics of patients with HCC have
not been well described. The aim of the present study was to evaluate the
impact of aging on the clinical characteristics findings and the
survival of HCC patients.
Method: A total of 2,370 patients with HCC diagnosed between 1999
and 2011, were recruited for this study. The age of HCC was categorized to four
groups; not old: sixty-four and younger, young old: sixty-five to seventy-four,
old old: seventy -five to eighty-four, oldest old: eighty -five and older. The
significance of clinical parameter was examined for elderly HCC patients using
logistic regression analysis.
Result: Multivariate analysis identified sex, body mass index
(BMI), alcohol consumption, Child-Pugh grade, etiology of liver disease,
alanine aminotransferase (ALT)), α-fetoprotein
(AFP) and Tumor-Node-Metastasis (TNM) stage, as independent and significant
risk factors for elderly HCC patients. Additionally, the significant risk
factors for elderly HCC patients according to four age groups are presented.
The ratio of male, BMI, alcohol intake patients, ALT, and AFP decreased
significantly from 80%, 23.0, 40%, 50 IU/l and 48.7 ng/ml in not old group to
57%, 21.6, 26%, 28IU/l and 12.8 ng/ml in oldest old group, respectively. The
ratio of Child-Pugh grade A and non-hepatitis virus infection increased
significantly from 60% and 17% in not old group to 80% and 43% in oldest old
group, respectively. When patients were classified according to the TNM stage,
patients in the oldest old group with TNM stage I or II had a lower cumulative
survival rate than those in the younger three groups.
Conclusion: It appears that eighty -five years and older patients with
HCC were poorer prognosis than that younger patients in early stage HCC.
Keywords: Elderly Patients; HCC; Multicenter Study; Prognosis
1. Introduction
Primary liver cancer is the most common primary cancer of the
liver, accounting for approximately 6% of all human cancers. It is estimated
that half a million cases occur worldwide annually, making primary liver cancer
the fifth most common malignancy in men and the ninth in women [1-6]. Hepatocellular Carcinoma
(HCC) accounts for 85% to 90% of primary liver cancers [7],
and the age-adjusted HCC mortality rate has increased in recent decades in
Japan [8]. Similarly, a
trend of increasing rates of HCC has been reported in several developed
countries of North America, Europe, and Asia [9,10].
HCC often develops in patients with liver cirrhosis caused by hepatitis B virus
(HBV), hepatitis C virus (HCV), excessive alcohol consumption, or non-alcoholic
fatty liver disease. Of the hepatitis viruses causing HCC, HCV is predominant
in Japan [11-14]. However, it
has been reported that the number and ratio of both hepatitis B surface antigen
(HBsAg)- and HCV antibody (HCVAb)-negative HCC (HCC-nonBC) is steadily increasing
in Japan [15,16].
The prognosis for patients with HCC is still poor. Surgical
resection and liver transplantation are the standard forms of curative
treatment available. Recently, radio-frequency ablation (RFA) and percutaneous
ethanol injection (PEI) is also recognized as effective methods to induce
complete tumor necrosis for small HCCs [17].
With advances in diagnostic and biomedical technologies, most of the studies
have shown that treatment of elderly patients with HCC is as safe and effective
as in younger patients, with overall post-treatment survival rate similar to
those of younger patients. However, unintentional bias in the selection of
patients might have occurred in the above-mentioned studies, with inclusion of
patients with good liver function or those without severe concomitant diseases
for the aggressive treatment of HCC [18-25].
In this retrospective cohort study, our aim was to
characterize elderly patients who were diagnosed
consecutively with HCC in a 12-year period (1999-2011) at the centers composing the Nagasaki
Association Study of Liver Disease (NASLD) group. The aim of the present study was to
evaluate the effect of age on the clinical outcome of HCC patients, including tumor stage,
treatment, and survival.
2. Patients and Methods
2.1. Patients
A total of 2,370 patients, diagnosed with HCC between 1999
and 2011 by the NASLD
group, were recruited for this study. The diagnosis of HCC was based on α-fetoprotein (AFP) and/or des-gamma-carboxy prothrombin (DCP) levels;
results of imaging techniques such as ultrasonography (USG), Computed
Tomography (CT), Magnetic Resonance Imaging (MRI), and Hepatic Angiography
(HAG); and/or liver biopsy. The diagnostic criteria included characteristic
liver biopsy findings, elevated AFP (≥20 ng/ml) and/or DCP (≥40 ng/ml), and
neovascularization on HAG, CT and/or MRI.
The diagnosis of chronic HCV infection was based on the presence
of HCVAb (microparticle enzyme immunoassay; Abbott Laboratories) and HCV RNA,
as detected by polymerase chain reaction. The diagnosis of chronic HBV
infection was based on the presence of HBsAg (enzyme-linked immunosorbent
assay; Abbott Laboratories). Serum AFP level was measured by radioimmunoassay (Abbott
Laboratories). The history of alcohol intake was noted from medical records; excessive drinking
was defined as an average daily consumption of an amount equivalent to 80 g of
pure ethanol for a period of more than 10 years, and not excessive drinking was defined as
an average daily consumption of an amount equivalent to 1-79 g of pure ethanol
for a period of more than 10 years.
Patients were divided into four groups according to age: not old
(≤64 years); young old (65-74 years); old old (75-84 years); and
oldest old (≥85 years). The stages of aging were defined as per the Japan Geriatrics
Society. Logistic
regression analysis was performed to evaluate the association between HCC and age, sex, Body
Mass Index (BMI), alcohol intake, diabetes mellitus, underlying liver disease, Child-Pugh
grade, platelet count, prothrombin time (PT), Albumin (ALB), Total Bilirubin
(Bil), Aspartate Aminotransferase (AST), Alanine Aminotransferase (ALT), AFP,
DCP, and Tumor Node Metastasis (TNM) stage.
2.2. Treatment Modalities
Patients diagnosed with HCC were assessed for surgery on the
basis of the extent of lobar involvement and liver function status. The extent
of lobar involvement was evaluated by a combination of USG, CT, MRI, and HAG.
Patients were considered unfit for resection if they met the following
criteria: (1) bilobar involvement, (2) evidence of tumor infiltration into the
main portal vein or thrombosis of the vein, (3) evidence of extrahepatic
metastases, (4) Child–Pugh grade C cirrhosis, or (5) poor cardiac and
respiratory statuses. If the patients were deemed unfit for operation or
refused to undergo operation, RFA or PEI therapy was the second choice of treatment
offered to such patients with HCCs less than 3 cm in diameter. The remaining
patients without main portal vein thrombosis or extrahepatic metastasis were
advised to undergo Transcatheter
Arterial Chemo- Embolizatio (TACE) irrespective of the size and number
of tumors.
After initial treatment, AFP levels and liver function of the
patients were assessed every 1 to 3 months, and USG imaging was performed every
3 to 6 months during the follow-up period. Patients suspected to have HCC
recurrence were further evaluated by CT and/or MRI. The assessment of treatment
for recurrent HCC was based on lobar involvement and liver function status as
described for the initial treatment. RFA or liver transplantation to treat HCC was
started at our institution in 2002. Furthermore, none of the subjects in our
study received either of these treatments for recurrent HCC during the
follow-up period.
2.3. Statistical Analysis
The time of survival was measured from the time of the diagnosis
of HCC to the time of death or until the time of preparation of the manuscript.
The survival rate was analyzed using the Kaplan-Meier method, and the
differences between the survival probability curves were tested using the
log-rank test. Descriptive
summaries of study groups are reported as the median (range) and number (%).
Data were analyzed using the Mann-Whitney U test for continuous ordinal data, and the chi-square test
with Yates’ correction and Fisher’s exact test were performed for intergroup
comparisons to determine the association between two qualitative variables. P-values <0.05 were considered
statistically significant. Variables achieving statistical significance
according to univariate analysis were subsequently included in the multivariate
analysis using a logistic regression model and are described as Hazard Ratio
(HR) with 95% Confidence Interval (CI). Coefficients were calculated from the
linear discriminating function of the variables. Data analysis was performed
using SPSS version 16.0 for Windows. We followed the methods of Akahoshi et al.
(2010) [26].
3. Results
3.1. Patient
Characteristics at Enrollment
We diagnosed 2,370 patients with HCC during the study period.
Patient characteristics at the time of diagnosis of HCC are presented in Table 1. We
assigned 716 (30%) patients to the not-old group, 881 (37%) to the young-old group, 704 (30%) to the old-old group, and 69 (3%) to the oldest-old group.
Overall, the median survival of all 2,370 patients was 5.6 years. The cumulative
survival rate was 54% at the 5th year.
3.2. Univariate and
Multivariate Analyses of the Factors Associated with HCC in the Elderly
Univariate and multivariate analyses were performed to identify
the independent factors associated with HCC in elderly patients (Table 2). In the univariate analysis, the following 13 significant
factors were identified: sex, BMI, alcohol intake, underlying liver disease,
Child-Pugh grade, hepatitis virus, platelet count, PT, Bil, ALT, AFP, DCP, and TNM stage.
Subsequent multivariate analysis identified sex (female, HR 2.20), BMI (≥25 kg/m2, HR 0.35), alcohol intake (not excessive drinker, HR 0.64;
excessive drinker, HR 0.36), Child-Pugh grade (B, HR 0.68; C, HR 0.32),
etiology of liver disease (HCV, HR 9.12; HBV and HCV, HR 4.32; non-hepatitis
virus infection, HR 11.28), ALT (>46 IU/l, HR 0.53), AFP (≥200 ng/ml, HR 0.53), and TNM stage (II, HR 1.65) as independent
significant risk factors for HCC in elderly patients (Table 3).
3.3. Comparison of Clinical Characteristics between the Four
Age Groups
The significant risk factors for HCC in elderly patients
according age are presented in Table 4.
Male gender, BMI, alcohol intake, ALT, and AFP decreased significantly from
80%, 23.0 kg/m2, 40%, 50 IU/ml and 48.7 ng/ml in the not-old group to 57%, 21.6
kg/m2, 26%, 28 IU/l and 12.8 ng/ml in the oldest-old group,
respectively (P < 0.05).
Child-Pugh grade and non-hepatitis virus infection increased significantly from
60% and 17% in the not-old group to 80% and 43% in the oldest-old group,
respectively (P < 0.05).
Treatments of each group according to age and TNM stage are
listed in Table 5. The
percentage of patients treated with supportive care alone in TNM stage I or II
was significantly higher in the oldest-old group than in the other groups (P <
0.001), and higher in patients with TNM stage III or IV than in patients with
TNM stage I or II for each age group.
Patients in the oldest-old group with TNM stage I or II had a
significantly lower cumulative survival rate than those in the younger three
groups. In patients with TNM stage III or IV, the cumulative survival rate was
not different among the four age groups (Figure 1).
4. Discussion
The number of elderly patients with HCC has increased over the
past few years in Japan, and recent studies have reported the characteristics
and prognosis of HCC in this population [15,16,27,28].
Our present study added information to the existing literature and identified a
number of independent factors associated with HCC in the elderly. According to
the government of Japan, an elderly person is an individual over 65 years,
which is the cut-off age we used in this study.
In this study, however, the most interesting findings were made
in oldest-old patients (aged 85 years
or older). We found that female
gender, Child–Pugh grade A, and non-hepatitis virus infection were more
frequent in oldest-old HCC patients than in younger patients, and that BMI and
ALT were lower in oldest-old HCC patients than in younger patients. These
findings suggest that elderly patients had better hepatic reserve capacity than
younger patients, which is in agreement with previous reports [24,25,28,29]. However, the
survival outcome of oldest-old patients was worse than that of younger patients
with early-stage HCC. In other words, patients
aged 85 years or older may have poorer prognosis than younger patients with
early-stage HCC. Suda et al. [28] analyzed
740 patients with HCC, including 38 patients treated with supportive care
alone. They stressed that aging was an adverse factor affecting overall
survival of patients with HCC, but when the survival benefit was evaluated on the
basis of percent survival to life expectancy, the therapeutic approach should
not be restricted due to patient age [31]. Interestingly,
the percentage of early-stage HCC patients treated with supportive care alone
was significantly higher in the oldest-old group than in the other groups. Hori
et al. [28] reported
that advanced age was a negative prognostic factor in patients with HCC due to
the tendency for frequent use of conservative treatment rather than RFA or
surgical treatment. The prognosis of elderly patients may be worse than younger
patients, especially in patients with preserved hepatic reserve capacity or
earlier stage of HCC, because in such patients RFA or surgical treatment is as
effective as in younger patients.
When discussing the treatment and survival outcomes of elderly
patients with HCC, clinicians should be aware of the following limitations.
There may be an unintentional selection bias, because we tend to select elderly
patients with a good performance status, which may favor comparable outcomes to
those of younger patients. In fact, in the current study, there was difference
in the population of patients treated with surgical treatment or RFA between
the oldest old group and younger groups. Several investigators showed that
elderly patients with HCC had a worse survival outcome compared with younger
patients due to the tendency for them to receive less aggressive and
non-curative treatment [32].
This study is associated with some other limitations. First, it
was a retrospective, multicenter study. Therefore, the possibility of
unintentional selection bias in selection of patients could not be fully
excluded. Second, the therapeutic effects of the second and third line of
treatment for HCC were not evaluated as prognostic factors in this patient
population.
In conclusion, oldest-old patients had
milder underlying liver damage. However, the survival outcome of oldest-old
patients was worse than that of younger patients in TNM stage I or II.
Early-stage HCC patients aged 85 years and older have poorer prognosis than
their younger counterparts.
5. Acknowledgment
We were presented this study at The American Association for the
Study of Liver Diseases (AASLD) The Liver Meeting 2014 and The 6th Asia-Pacific
Primary Liver Cancer Expert Meeting (APPLE 2015). Author and corresponding
author are employed in Hideaki Masuzaki of the Nagasaki University Hospital.
6. Data
Availability
The clinical data used to support the findings of this study are
restricted by the Ethics Committee of Medical Research, Nagasaki University
Hospital in order to protect patient privacy. Data are available from
corresponding author for researchers who meet the criteria for access to
confidential data.
7. Conflict of Interest
The following people have nothing to disclose: Takehiro
Matsumoto, Naota Taura, Tatsuki Ichikawa, Hisamitsu Miyaaki, Eisuke Ozawa,
Masaya Shigeno, Yuji Kato, Takashi Goto, Noboru Kinoshita, Nobuyoshi Fukushima,
Kazuo Ohba, Hiroshi Yatsuhashi, and Kazuhiko Nakao.
Parameters |
Hazard ratio |
95% CI |
P value |
|
Sex |
Female |
2.39 |
1.94-2.94 |
<0.001 |
BMI (kg/m2) |
≥25 |
0.81 |
0.66-0.99 |
0.036 |
Alcohol consumption |
No consumption |
1 |
--- |
--- |
Moderate |
0.56 |
0.46-0.69 |
<0.001 |
|
Excessive |
0.5 |
0.37-0.68 |
<0.001 |
|
Diabetes mellitus |
+ |
1.12 |
0.92-1.36 |
0.27 |
Underlying liver disease |
Cirrhosis |
0.82 |
0.67-0.99 |
0.041 |
Child-Pugh grade |
A |
1 |
--- |
--- |
B |
0.66 |
0.57-0.82 |
<0.001 |
|
C |
0.26 |
0.18-0.38 |
<0.001 |
|
Hepatitis virus |
HBV |
1 |
--- |
--- |
HCV |
8.52 |
6.67-10.88 |
<0.001 |
|
HBV+HCV |
3.03 |
1.29-7.08 |
0.011 |
|
NBNC |
8.91 |
6.70-11.88 |
<0.001 |
|
Platelet (103/µL) |
<120 |
0.8 |
0.67-0.96 |
0.016 |
ALT (IU/l) |
≥46 |
0.61 |
0.51-0.73 |
<0.001 |
PT (%) |
≥83 |
0.63 |
0.53-0.725 |
<0.001 |
Bil (mg/dl) |
≥0.9 |
0.65 |
0.55-0.78 |
<0.001 |
Alb (g/dl) |
<3.7 |
1.02 |
0.85-1.22 |
0.818 |
AFP (ng/ml) |
<20 |
1 |
--- |
--- |
20-199 |
0.77 |
0.62-0.96 |
0.021 |
|
≥200 |
0.47 |
0.38-0.58 |
<0.001 |
|
DCP (mAU/ml) |
<40 |
1 |
--- |
--- |
40-199 |
0.91 |
0.71-1.16 |
0.439 |
|
≥200 |
0.74 |
0.61-0.91 |
0.005 |
|
TNM stage |
I |
1 |
--- |
--- |
II |
1.41 |
1.11-1.77 |
0.004 |
|
III |
1.07 |
0.82-1.38 |
0.621 |
|
IVa |
0.51 |
0.37-0.70 |
<0.001 |
|
IVb |
0.39 |
0.26-0.60 |
<0.001 |
|
CI
-
Confidence Interval BMI -
Body
Mass Index HBV
-
Hepatitis B Virus HCV -
Hepatitis C Virus NBNC
-
Non-Hepatitis Virus TNM
-
Tumor-Node-Metastasis ALT
-
Alanine Amino Transferase Bil
-
Total Bilirubin Alb -
Albumin PT
-
Prothrombin Time AFP
- α-fetoprotein DCP
-
Des-Gamma-Carboxy Prothrombin |
Table 1: Demographic and clinical characteristics
of the 2,370 patients with hepatocellular carcinoma.
Parameters |
Hazard ratio |
95% CI |
P value |
|
Sex |
Female |
2.39 |
1.94-2.94 |
<0.001 |
BMI (kg/m2) |
≥25 |
0.81 |
0.66-0.99 |
0.036 |
Alcohol consumption |
No consumption |
1 |
--- |
--- |
Moderate |
0.56 |
0.46-0.69 |
<0.001 |
|
Excessive |
0.5 |
0.37-0.68 |
<0.001 |
|
Diabetes mellitus |
+ |
1.12 |
0.92-1.36 |
0.27 |
Underlying liver disease |
Cirrhosis |
0.82 |
0.67-0.99 |
0.041 |
Child-Pugh grade |
A |
1 |
--- |
--- |
B |
0.66 |
0.57-0.82 |
<0.001 |
|
C |
0.26 |
0.18-0.38 |
<0.001 |
|
Hepatitis virus |
HBV |
1 |
--- |
--- |
HCV |
8.52 |
6.67-10.88 |
<0.001 |
|
HBV+HCV |
3.03 |
1.29-7.08 |
0.011 |
|
NBNC |
8.91 |
6.70-11.88 |
<0.001 |
|
Platelet (103/µL) |
<120 |
0.8 |
0.67-0.96 |
0.016 |
ALT (IU/l) |
≥46 |
0.61 |
0.51-0.73 |
<0.001 |
PT (%) |
≥83 |
0.63 |
0.53-0.725 |
<0.001 |
Bil (mg/dl) |
≥0.9 |
0.65 |
0.55-0.78 |
<0.001 |
Alb (g/dl) |
<3.7 |
1.02 |
0.85-1.22 |
0.818 |
AFP (ng/ml) |
<20 |
1 |
--- |
--- |
20-199 |
0.77 |
0.62-0.96 |
0.021 |
|
≥200 |
0.47 |
0.38-0.58 |
<0.001 |
|
DCP (mAU/ml) |
<40 |
1 |
--- |
--- |
40-199 |
0.91 |
0.71-1.16 |
0.439 |
|
≥200 |
0.74 |
0.61-0.91 |
0.005 |
|
TNM stage |
I |
1 |
--- |
--- |
II |
1.41 |
1.11-1.77 |
0.004 |
|
III |
1.07 |
0.82-1.38 |
0.621 |
|
IVa |
0.51 |
0.37-0.70 |
<0.001 |
|
IVb |
0.39 |
0.26-0.60 |
<0.001 |
|
CI
-
Confidence Interval BMI -
Body
Mass Index HBV
-
Hepatitis B Virus HCV -
Hepatitis C Virus NBNC
-
Non-Hepatitis Virus TNM
-
Tumor-Node-Metastasis ALT
-
Alanine Amino Transferase Bil
-
Total Bilirubin Alb -
Albumin PT
-
Prothrombin Time AFP
- α-fetoprotein DCP
-
Des-Gamma-Carboxy Prothrombin |
Table 2: Univariate analysis of the factors
associated with hepatocellular carcinoma in elderly patients.
Parameters |
Hazard ratio |
95% CI |
P value |
|
Sex |
Female |
2.2 |
1.65-2.93 |
<0.001 |
BMI (kg/m2) |
≥25 |
0.35 |
0.59-0.98 |
0.035 |
Alcohol consumption |
No consumption |
1 |
--- |
--- |
Moderate |
0.64 |
0.48-0.85 |
0.002 |
|
Excessive |
0.36 |
0.23-0.55 |
<0.001 |
|
Underlying liver disease |
Cirrhosis |
1.23 |
0.91-1.65 |
0.173 |
Hepatitis virus |
HBV |
1 |
--- |
--- |
HCV |
9.12 |
6.69-12.39 |
<0.001 |
|
HBV+HCV |
4.32 |
1.55-12.06 |
0.005 |
|
NBNC |
11.28 |
7.73-16.47 |
<0.001 |
|
Platelet (103/µL) |
<120 |
0.79 |
0.60-1.05 |
0.1 |
ALT (IU/l) |
>46 |
0.53 |
0.42-0.68 |
<0.001 |
PT (%) |
<83 |
0.89 |
0.67-1.17 |
0.401 |
Bil (mg/dl) |
>0.9 |
1.01 |
0.78-1.30 |
0.945 |
AFP (ng/ml) |
<20 |
1 |
--- |
--- |
20-199 |
0.79 |
0.60-1.05 |
0.103 |
|
≥200 |
0.53 |
0.39-0.74 |
<0.001 |
|
DCP (mAU/ml) |
<40 |
1 |
--- |
--- |
40-199 |
1.01 |
0.74-1.38 |
0.943 |
|
≥200 |
1.34 |
0.98-1.83 |
0.07 |
|
TNM stage |
I |
1 |
--- |
--- |
II |
1.65 |
1.21-2.24 |
0.001 |
|
III |
1.37 |
0.96-1.95 |
0.087 |
|
IVa |
0.91 |
0.91-2.57 |
0.153 |
|
IVb |
0.73 |
0.38-1.41 |
0.351 |
|
CI -
Confidence Interval BMI
-
Body Mass Index HBV
-
Hepatitis B Virus HCV
-
Hepatitis C Virus NBNC
-
Non-Hepatitis Virus TNM
-
Tumor-Node-Metastasis ALT
-
Alanine Aminotransferase Bil -
Total Bilirubin AFP
- α-fetoprotein DCP -
Des-Gamma-Carboxy Prothrombin |
Table 3: Multivariate analysis of
the factors associated with hepatocellular carcinoma in elderly patients.
Parameters |
Not old (<65 years) |
Young old (65-74 years) |
Old old (75-84 years) |
Oldest old (≥85 years) |
Total |
All patient |
716 |
881 |
704 |
69 |
2,370 |
Sex (%) |
* |
* |
* |
||
Male |
572 (80) |
565 (64) |
428 (61) |
40 (57) |
1,605 (68) |
Female |
144 (20) |
316 (36) |
276 (39) |
29 (43) |
765 (32) |
BMI (kg/m2) |
23.0(13.0-45.3) |
23.0 (15.4-43.3) |
22.0 (14.6-36.9)* |
21.6 (14.6-36.9)* |
22.7 (13.0-45.3) |
Alcohol consumption (%) |
* |
* |
*** |
||
No consumption |
431 (60) |
607 (69) |
559 (79) |
51 (74) |
1,648 (70) |
Moderate drinking |
202 (28) |
191 (22) |
112 (16) |
17 (25) |
522 (22) |
Excessive drinking |
83 (12) |
83 (9) |
33 (5) |
1 (1) |
200 (8) |
Child-Pugh grade (%) |
* |
* |
*** |
||
A |
430 (60) |
611 (69) |
522 (74) |
55 (80) |
1,618 (68) |
B |
192 (27) |
201 (23) |
136 (19) |
13 (19) |
542 (23) |
C |
75 (10) |
36 (4) |
17 (2) |
1 (1) |
129 (5) |
Unknown |
19 (3) |
33 (4) |
29 (5) |
0 (0) |
81 (4) |
Hepatitis virus (%) |
* |
* |
* |
||
HBV |
298 (42) |
89 (10) |
35 (5) |
4 (6) |
426 (18) |
HCV |
287 (40) |
563 (64) |
452 (64) |
35 (51) |
1,337 (56) |
HBV+HCV |
10 (1) |
6 (1) |
7 (1) |
0 (0) |
23 (1) |
NBNC |
121 (17) |
223 (25) |
210 (30) |
30 (43) |
584 (25) |
ALT (IU/l) (range) |
50 (8-781) |
43 (6-1,802)* |
39 (4-19,679)* |
28 (9-295)* |
43 (4-19,679) |
AFP (ng/ml) (range) |
48.7 (1-2,920,000) |
21.9 (1-963,300)* |
16.1 (1-2,710,000)* |
12.8 (1-119,720)** |
24 (1-2,920,000) |
TNM stage (%) |
* |
** |
|||
I |
176 (25) |
236 (27) |
149 (21) |
10 (17) |
571 (24) |
II |
229 (31) |
359 (41) |
330 (47) |
33 (55) |
951 (40) |
III |
157 (22) |
189 (21) |
166 (24) |
21 (35) |
533 (22) |
IVa |
149 (21) |
65 (7) |
44 (6) |
3 (5) |
210 (9) |
IVb |
10 (1) |
32 (4) |
15 (2) |
2 (3) |
105 (4) |
* p < 0.001 versus not old; ** p
< 0.01 versus not old; *** p < 0.05 versus not old |
|||||
BMI
-
Body Mass Index HBV
-
Hepatitis B Virus HCV
-
Hepatitis C Virus NBNC
-
Non-Hepatitis Virus TNM
-
Tumor-Node-Metastasis ALT
-
Alanine Amino Transferase Bil
-
Total Bilirubin AFP
- α-fetoprotein |
Table 4: Comparison
of the clinical characteristics of hepatocellular carcinoma patients per age
group.
Not old (<65 years) |
Young old (65-74 years) |
Old old (75-84 years) |
Oldest old (≥85
years) |
Total |
||
TNM stage I or II |
||||||
Total |
405 |
595 |
479 |
43 |
1,522 |
|
Surgical resection |
103 (25) |
119 (20) |
90 (19) |
2 (5) |
314 (21) |
|
Liver transplantation |
6 (1) |
2 (0) |
0 |
0 |
8(1) |
|
RFA and/or PEIT |
139 (34) |
235 (39) |
170 (35) |
12 (28) |
556 (37) |
|
TACE and/or TAI |
142 (35) |
220 (37) |
165 (34) |
18 (42) |
545 (36) |
|
Chemotherapy |
0 |
2 (0) |
0 |
1 (2) |
3 (0) |
|
Supportive care |
15 (4) |
17 (3) |
24 (5) |
10 (23) |
66 (4) |
|
TNM stage III or IV |
||||||
Total |
311 |
286 |
225 |
26 |
848 |
|
* |
* |
*** |
||||
Surgical resection |
39 (13) |
31 (11) |
31 (14) |
2 (8) |
103 (12) |
|
Liver transplantation |
1 (0) |
1 (0) |
0 |
0 |
2 (0) |
|
RFA and/or PEIT |
10 (3) |
21 (7) |
15 (7) |
1 (4) |
47 (6) |
|
TACE and/or TAI |
166 (53) |
186 (65) |
137 (61) |
15 (58) |
504 (59) |
|
Chemotherapy |
32 (10) |
8 (2) |
4 (2) |
0 |
44 (5) |
|
Supportive care |
63 (20) |
39 (14) |
38 (17) |
8 (31) |
148 (18) |
|
TNM
-
Tumor-Node-Metastasis RFA -
Radio-Frequency Ablation PEI
- Percutaneous Ethanol Injection TACE - Trans
Catheter Arterial Chemo- Embolization TAI
- Trans Catheter Arterial Infusion |
Table 5: Treatment for
hepatocellular carcinoma according to age and Tumor Node Metastasis (TNM) stage.
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