Invest Clin 64(2): 196 - 205, 2023 https://doi.org/10.54817/IC.v64n2a06
Corresponding author: Guozhong Zhao. Department of Hepatobiliary Surgery, General Hospital of Ningxia Medi-
cal University, Yinchuan, Ningxia Hui Autonomous Region, China. Email: teprtg208177@163.com
Risk factors for the prognosis of patients
with decompensated hepatitis B cirrhosis
and their predictive values.
Li Li1, Jihui Zhang2, Peng Yuan3, Jianjun Song3, Zhenhui Lu3 and Guozhong Zhao3
1Department of Infectious Diseases, The First People’s Hospital of Fuyang District,
Hangzhou, Zhejiang Province, China.
2Department of Hepatobiliary Surgery, Ningxia Medical University, Yinchuan, Ningxia
Hui Autonomous Region, China.
3Department of Hepatobiliary Surgery, General Hospital of Ningxia Medical University,
Yinchuan, Ningxia Hui Autonomous Region, China.
Keywords: decompensated hepatitis b cirrhosis; prognosis; risk factor; predictive value.
Abstract. We aimed to investigate the risk factors affecting the progno-
sis of patients with decompensated hepatitis B cirrhosis and their predictive
values. The clinical data of 149 patients with decompensated hepatitis B cir-
rhosis, treated from August 2015 to June 2019, were analyzed retrospectively.
They were divided into death and survival groups during a one-year follow-up.
Their baseline data were compared, and the risk factors affecting death, corre-
lations among risk factors, and predictive values of these factors for death were
analyzed. Survival analysis was conducted. During a one-year follow-up, 103 pa-
tients survived, and 46 died. High neutrophil-lymphocyte ratio (NLR), red cell
distribution width (RDW), the model for end-stage liver disease (MELD) score,
the Child-Turcotte-Pugh (CTP) score, and low serum sodium were independent
risk factors for death in patients with decompensated hepatitis B cirrhosis. NLR
correlated positively with CTP and MELD scores (r=0.346, p=0.0001, r=0.243,
p=0.0003, respectively). Likewise, the RDW had positive correlations with CTP
and MELD scores (r=0.417, p=0.0001, r=0.413, p=0.0003, respectively). Se-
rum sodium was negatively correlated with CTP and MELD scores (r=-0.484,
p=0.0001, r=-0.476, p=0.0001, respectively). The survival rate was high in
patients with NLR<7.38, RDW<16.15%, serum sodium>146.31 mmol/L, CTP
score<10.26 points, and MELD score<11.31 points (p=0.0001). NLR, RDW,
serum sodium, MELD, and CTP scores had high death predictive values. NLR,
RDW, serum sodium, CTP score, and MELD score can be considered as critical
indices for evaluating and predicting the prognosis of patients with decompen-
sated hepatitis B cirrhosis.
196 Li et al.
Investigación Clínica 64(2): 2023
Factores de riesgo para el pronóstico de pacientes con cirrosis
por hepatitis B descompensada y sus valores predictivos.
Invest Clin 2023; 64 (2): 196 – 205
Palabras clave: cirrosis por hepatitis b descompensada; pronóstico; factor de riesgo;
valor predictivo.
Resumen. Nuestro objetivo fue investigar los factores de riesgo que afectan
el pronóstico de los pacientes con cirrosis por hepatitis B descompensada y sus
valores predictivos. Se analizaron retrospectivamente los datos clínicos de 149
pacientes con cirrosis por hepatitis B descompensada tratados desde agosto de
2015 hasta junio de 2019. Estos pacientes se dividieron en grupos de muerte y
supervivencia, durante un año de seguimiento. Se compararon sus datos basales
de referencia y se analizaron los factores de riesgo que afectan la muerte, las
correlaciones entre los factores de riesgo y los valores predictivos de muerte de
estos factores. El análisis de supervivencia durante un año de seguimiento, de-
mostró que sobrevivieron 103 pacientes y fallecieron 46. La alta proporción de
neutrófilos-linfocitos (NLR), el ancho de distribución de glóbulos rojos (RDW), el
modelo para la puntuación de enfermedad hepática en etapa terminal (MELD),
la puntuación de Child-Turcotte-Pugh (CTP) y el bajo nivel de sodio sérico fueron
factores de riesgo independientes para la muerte en pacientes con cirrosis por
hepatitis B descompensada. NLR tuvo correlaciones positivas con la puntuación
CTP y la puntuación MELD (r = 0,346, p = 0,0001, r = 0,243, p = 0,0003,
respectivamente). RDW tuvo correlaciones positivas con la puntuación CTP y la
puntuación MELD (r = 0,417, p = 0,0001, r = 0,413, p = 0,0003, respectiva-
mente). El sodio sérico se correlacionó negativamente con las puntuaciones CTP
y MELD (r=-0,484, p=0,0001, r=-0,476, p=0,0001, respectivamente). La tasa
de supervivencia fue alta en pacientes con NLR <7,38, RDW <16,15%, sodio
sérico> 146,31 mmol/L, puntuación CTP <10,26 puntos y puntuación MELD
<11,31 puntos (p = 0,0001). NLR, RDW, sodio sérico, puntaje MELD y puntaje
CTP tuvieron altos valores predictivos de muerte. NLR, RDW, sodio sérico, punta-
je CTP y puntaje MELD pueden considerarse índices importantes para evaluar y
predecir el pronóstico de pacientes con cirrosis por hepatitis B descompensada.
Received: 08-07-2022 Accepted: 17-12-2022
INTRODUCTION
Liver cirrhosis is a chronic progressive
liver disease that involves histopathological
changes such as hepatocyte necrosis, re-
generative nodules, diffuse liver fibrosis and
formation of pseudolobules due to multiple
causes 1. Hepatitis B is one of the common
causes of liver cirrhosis 2. The decompen-
sated stage is the end stage of liver cirrho-
sis, manifested as portal hypertension and
liver damage in clinical practice 3. Addition-
ally, abdominal organ injury can induce vari-
ous complications such as ascites, hemor-
rhages due to varicose vein rupture, hepatic
encephalopathy and secondary infections,
which seriously affect the prognosis of pa-
tients and cause a high mortality rate. The
Prognostic evaluation of decompensated hepatitis B cirrhosis 197
Vol. 64(2): 196 - 205, 2023
five-year mortality rate of patients with de-
compensated cirrhosis who have not under-
gone liver transplantation is up to 85%, of
which the one-year mortality rate of those
complicated with gastrointestinal bleeding
and ascites as well as renal failure and in-
fection is 57%, 20% and 67%, respectively 4.
Hence, it is of great significance to under-
stand comprehensively the causes of death
and risk factors in patients with decompen-
sated hepatitis B cirrhosis5.
In this study, the risk factors affecting
the prognosis of patients with decompensat-
ed hepatitis B cirrhosis and the predictive
value of these factors for the prognosis were
analyzed, aiming to provide reliable bases
for early clinical identification, disease judg-
ment and prognostic evaluation.
MATERIALS AND METHODS
Subjects
The clinical data of 149 patients with
decompensated hepatitis B cirrhosis treated
in our hospital from August 2015 to June
2019 were collected and retrospectively ana-
lyzed. According to the Diagnostic Criteria
for Chronic Hepatitis B in 2015 6, the diag-
nostic criteria included: a) clear evidence
for etiology of hepatitis B virus (HBV) infec-
tion, and no other common causes of liver
cirrhosis, b) confirmed evidence of liver cir-
rhosis through histology, clinical manifes-
tations, and imaging: morphology showing
liver fibrosis, regenerative nodules and pseu-
dolobules, clinical manifestations exhibit-
ing portal hypertension, liver insufficiency,
and B-ultrasound, computed tomography,
magnetic resonance, and radionuclide im-
aging indicating signs of liver cirrhosis;
and c) complications such as hepatic en-
cephalopathy, hemorrhages caused by rup-
ture of esophageal and gastric varices, and
ascites. The inclusion criteria were set as
follows: a) patients who met the above diag-
nostic criteria, b) those with no recent ac-
tive infection, c) those with complete clini-
cal data, and d) those who and whose family
members signed the informed consent and
could cooperate to complete the follow-up.
The exclusion criteria involved: a) patients
with acute liver failure, b) those who were
complicated with severe heart, lung, or kid-
ney diseases, c) those who were complicated
with primary liver cancer or other malignant
tumors, d) those who were complicated with
history of brain diseases, metabolic enceph-
alopathy or toxic encephalopathy, e) those
who received glucocorticoid or immunosup-
pressive therapy, or f) cases undergoing liver
transplantation. This study was approved by
the Medical Ethics Committee of our hos-
pital. The number of samples included in
factor analysis is about 5-10 times that of
variable factors. There were 20 variable fac-
tors in this study, so the number of included
samples should have been >100. Finally, 149
cases were included (Fig. 1).
Data collection and scoring
The medical records were reviewed to
collect the gender, age and physical examina-
tion results of every patient. After admission,
the patient’s first laboratory examination data
were recorded, including routine blood tests,
coagulation function, liver function, and
kidney function. Child-Turcotte-Pugh (CTP)
score 7: ascites, hepatic encephalopathy, se-
rum total bilirubin (TBil), albumin (Alb), and
prothrombin time (PT) were scored accord-
ing to the severity of the disease, namely 1,
2 and 3 points, respectively. The score of 5
items was added, and 5-6 points were Grade
A, indicating liver function compensation;
7-9 points were Grade B, indicating liver func-
tion decompensation; and 10-15 points were
Grade C, indicating severe decompensation
of liver function. The Model for end-stage liv-
er disease (MELD) was utilized to assess the
patients’ liver function 8. The MELD score was
calculated with the formula: 3.8 × ln [biliru-
bin (mg/dL)] + 11.2 × ln [prothrombin in-
ternational normalized ratio (INR)] + 9.6 ×
ln [creatinine (mg/dL)] + 6.4.
198 Li et al.
Investigación Clínica 64(2): 2023
Follow-up and grouping
The date of patients admitted to the
hospital with a confirmed diagnosis of de-
compensated hepatitis B cirrhosis for the
first time was regarded as the start of follow-
up. The last follow-up or death was set as the
end event. The follow-up period was not less
than one year. During the one-year follow-up
period, the dead patients were selected as
the death group, while the surviving patients
were enrolled as the survival group.
Statistical analysis
The SPSS 16.0 software was used for sta-
tistical analysis. The measurement data con-
forming to normal distribution were expressed
as means ± standard deviations, and the in-
dependent t-test was used for comparison be-
tween groups. If the data did not conform to
the normal distribution, they were expressed as
medians (lower quartiles and higher quartiles)
[M (P25, P75)], and the rank sum test was
used for comparison between the groups. The
numerical data were expressed as percentages
(%), and the χ2 test was used for comparison be-
tween groups. The Multivariate COX regression
analysis was utilized to explore the risk factors
for the death of patients with decompensat-
ed hepatitis B cirrhosis, and the correlations
among indices were analyzed by the Spearman
correlation test. The Long-rank χ2 test was
used to analyze the death of patients, and the
Kaplan-Meier method was adopted to draw the
survival curve. The positive and negative pre-
dictive values of these factors for the death of
patients were analyzed by the receiver operat-
ing characteristic (ROC) curve, and the area
under the curve (AUC) was calculated. The in-
spection level was α=0.05. p<0.05 indicated
that the difference was statistically significant.
RESULTS
Among the 149 patients with decom-
pensated hepatitis B cirrhosis, there were
86 males and 63 females, aged 46-70 years
old, with an average of 56.42 ± 6.45. During
the one-year follow-up, 103 patients survived
(69.13%), and 46 died (30.87%).
No statistically significant differences
were found in gender, aspartate amino-
transferase (AST), alanine aminotrans-
ferase (ALT), alkaline phosphatase (ALP)
and platelet (PLT) between the two groups
(p>0.05). The age, total bilirubin (TBil),
white blood cell count (WBC), neutrophils
(N), neutrophil-lymphocyte ratio (NLR), red
cell distribution width (RDW), serum creati-
nine (Scr), PT, INR, CTP score, and MELD
score were higher. Body mass index (BMI),
Alb, lymphocyte (L), and serum sodium were
lower in the death group than those in the
survival group, suggesting statistically sig-
nificant differences (p<0.05) (Table 1).
Among the variables with statistically
significant differences between the survival
and death groups, TBil, Alb, PT, INR, Scr,
N, and L displayed multiple linear relation-
ships with the CTP, MELD, and NLR scores,
so they were excluded from the multivariate
COX regression analysis. Finally, the mul-
tivariate COX regression analysis included
age, BMI, WBC, NLR, RDW, serum sodium,
MELD, and CTP scores. The results exhib-
ited that high NLR, RDW, MELD score and
CTP score, and low serum sodium were in-
dependent risk factors for death in patients
with decompensated hepatitis B cirrhosis
(Table 2).
Fig. 1. Study enrollment flowchart.
Prognostic evaluation of decompensated hepatitis B cirrhosis 199
Vol. 64(2): 196 - 205, 2023
Table 1
Baseline data of survival and death groups.
Index Survival group (n=103) Death group (n=46) χ2/Z/t p
Gender (male/female, case) 69/34 28/18 0.524 0.469
Age (year, x
±SD) 54.06 ± 5.40 61.72± 5.41 7.995 0.0001
BMI (kg/m2, x
±SD) 22.03±1.09 19.44±1.00 13.736 0.0001
AST (U/L, x
±SD) 47.86±5.42 49.23±5.51 1.418 0.158
ALT (U/L, x
±SD) 52.45±7.39 53.82±7.44 1.043 0.299
ALP (U/L, x
±SD) 146.72±15.83 147.61±16.09 0.315 0.753
TBil (μmol/L, [M(P25,P75)]) 28.95(21.36~42.07) 64.52(25.48~113.65) 26.596 0.0001
Alb (g/L, x
±SD) 32.75±4.61 25.13±3.48 10.003 0.0001
WBC (109/L, x
±SD) 6.34±0.75 7.49±0.94 7.978 0.0001
N (109/L, [M(P25,P75)]) 6.27(3.65~8.49) 8.13(5.08~10.97) 7.328 0.0001
L (109/L, x
±SD) 1.48(0.72~2.13) 0.75(0.49~1.06) 5.267 0.0001
NLR (x
±SD) 5.78(1.71~11.79) 11.38(4.79~14.63) 13.586 0.0001
RDW (%, [M(P25,P75)]) 15.68(14.05~17.26) 17.29(14.97~19.38) 6.419 0.0001
PLT (109/L, x
±SD) 76.85±23.19 75.37±22.68 0.362 0.718
Scr (mg/L, x
±SD) 0.76±0.25 1.64±0.82 9.941 0.0001
Serum sodium (mmol/L, x
±SD) 139.29±7.79 126.27±7.35 9.587 0.0001
PT (s, [M(P25,P75)]) 15.14(12.96~17.03) 18.73(15.42~20.91) 8.693 0.0001
INR (x
±SD) 1.41±0.35 1.98±0.62 7.140 0.0001
CTP score (point, x
±SD) 9.53±0.85 12.54±0.97 19.104 0.0001
MELD score (point, x
±SD) 9.34±2.51 17.54±3.31 16.636 0.0001
Body mass index (BMI), aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase
(ALP), serum total bilirubin (TBil), albumin (Alb), white blood cell count (WBC), neutrophils (N), lymphocyte
(L), neutrophil-lymphocyte ratio (NLR), red cell distribution width (RDW), platelet (PLT), serum creatinine (Scr),
prothrombin time (PT) international standard ratio (INR).
Table 2
Risk factors for death in patients with decompensated hepatitis B cirrhosis.
Factor βSE Wald p OR 95%CI
Age 0.975 0.826 1.257 0.482 0.893 0.568~1.347
BMI -0.824 0.672 1.438 0.519 1.275 0.641~1.852
WBC 1.356 1.198 2.065 0.237 1.684 0.753~2.469
NLR 2.249 1.863 3.521 0.0001 3.536 2.384~4.728
RDW 0.832 0.754 1.849 0.021 2.048 1.276~3.514
Serum sodium -0.765 0.627 1.232 0.035 1.952 1.597~3.863
CTP score 2.493 2.182 4.574 0.009 4.376 3.458~5.692
MELD score 2.608 2.379 4.683 0.004 4.715 3.629~5.847
The independent variables were assigned values with the median as the cut-off point: age: >57 years old=1, <57
years old=0, BMI: >21.2 kg/m2=1, <21.2 kg/m2=0, WBC: >6.65×109/L=1, <6.65×109/L=0, NLR: >7.38=1,
<7.38=0, RDW: >16.15%=1, <16.15%=0, serum sodium: >135.39 mmol/L=1, <135.39 mmol/L=0, CTP score:
>10.26 points=1, <10.26 points=0, MELD score: >11.31 points=1, <11.31 points=0.
200 Li et al.
Investigación Clínica 64(2): 2023
NLR had positive correlations with the CTP
score and MELD score (r=0.346, p=0.0001,
r=0.243, p=0.0003). RDW had positive rela-
tions to CTP score and MELD score (r=0.417,
p=0.0001, r=0.413, p=0.0003). Serum sodi-
um was negatively associated with CTP score
and MELD score (r=-0.484, p=0.0001, r=-
0.476, p=0.0001) (Fig. 2).
According to the independent risk
factors obtained in the multivariate COX
regression analysis, the indices were cat-
egorized into more than the median group
and less than the median group. The sur-
vival rate was 89.47% in NLR<7.38 group
and 47.95% in NLR>7.38 group, suggest-
ing a statistically significant difference
(χ2=30.090, p=0.0001). It was 82.89% in
the RDW<16.15% group and 54.79% in the
RDW>16.15% group, suggesting a statis-
tically significant difference (χ2=13.777,
p=0.0001). It was 94.59% in the serum so-
dium>146.31 mmol/L group and 44.00% in
the serum sodium<146.31 mmol/L group,
suggesting a statistically significant differ-
ence (χ2=44.678, p=0.0001). Besides, the
survival rate was 86.67% in the CTP score
<10.26 points group and 51.35% in the CTP
score >10.26 points group, suggesting a sta-
tistically significant difference (χ2=21.768,
p=0.0001). It was 90.67% in the MELD
score<11.31 points group and 47.30% in
the MELD score>11.31 points group, sug-
gesting a statistically significant difference
(χ2=32.829, p=0.0001) (Fig. 3).
In predicting the death of patients with
decompensated hepatitis B cirrhosis, the
area under the NLR curve was 0.836, the 95%
confidence interval (CI) was 0.770-0.903, the
optimal cut-off value was 7.49, the sensitivity
was 81.1%, the specificity was 86.7%, and the
Fig. 2. Correlations of NLR, RDW, and serum sodium with CTP score and MELD score.
Prognostic evaluation of decompensated hepatitis B cirrhosis 201
Vol. 64(2): 196 - 205, 2023
Youden’s index was 0.678. The area under the
RDW curve was 0.752, the 95% CI was 0.670-
0.834, the optimal cut-off value was 16.22%,
the sensitivity was 78.4%, the specificity was
78.7%, and the Youden’s index was 0.571.
The area under the serum sodium curve was
0.774, 95% CI was 0.695-0.853, the optimal
cut-off value was 120.95 mmol/L, the sensi-
tivity was 75.7%, the specificity was 85.3%,
and the Youden index was 0.610. Besides, the
area under the CTP score curve was 0.883,
95% CI was 0.823-0.942, the optimal cut-off
value was 10.34 points, the sensitivity was
86.5%, the specificity was 90.7%, and the
Youden’s index was 0.772. The area under the
MELD score curve was 0.894, the 95% CI was
0.839-0.948, the optimal cut-off value was
11.35 points, the sensitivity was 87.8%, the
specificity was 88.0%, and the Youden’s index
was 0.758 (Fig. 4 and Table 3).
DISCUSSION
Patients with decompensated cirrhosis
are prone to malnutrition, with an inci-
dence rate of up to 60-100% in the advanced
stage 9. Verma et al. reported that the nutri-
tional indices, BMI and Alb, significantly de-
clined in the patients with poor prognosis,
so both of them can be used to predict the
prognosis of patients with decompensated
cirrhosis 10. Likewise, we herein found that
the BMI and Alb of the death group were
significantly lower than those of the survival
group. Probably, lipids and proteins are ab-
normally synthesized due to liver damage,
which induces malnutrition, especially in
patients with decompensated cirrhosis. As
a result, the synthesis and decomposition
of apolipoproteins and blood lipids are af-
fected 11.
WBC count is usually employed to
evaluate the inflammatory response. Gener-
ally, the count increases when the inflamma-
tory response is enhanced 12. Consistently,
this study exhibited that the count of WBC
was significantly higher in the death group.
Zhang et al. reported that NLR had a high pre-
dictive value for the occurrence of hepatitis
B-related liver failure 13. Additionally, Kalra
et al. reported that NLR was an independent
predictor for the 30-day death of patients
with decompensated hepatitis B cirrhosis 14.
The above conclusions are consistent with
the results of this study. During the progres-
sion of chronic liver disease into the end
Fig. 3. Independent risk factors for survival of patients with decompensated hepatitis B cirrhosis.
202 Li et al.
Investigación Clínica 64(2): 2023
stage, the excessive immune response stimu-
lates the activation of T and B-lymphocytes
to release a large number of inflammatory
mediators to induce inflammation, oxidative
stress, and chemotaxis. As a result, neutro-
phils stored in the liver sinusoids are largely
released into the blood, then increasing the
neutrophil count in the peripheral blood 15.
In addition, the long-term malnutrition of
patients with chronic liver disease not only
hinders lymphocyte synthesis but also pro-
motes lymphocyte apoptosis, thus reducing
the lymphocyte count and ultimately in-
creasing NLR 16.
Zhang et al. reported that RDW was posi-
tively associated with decompensated hepati-
tis B cirrhosis and gastrointestinal bleeding
as an independent factor 17. Besides, Ferdous
et al. reported that RDW was significantly
increased in patients with hepatitis B and
Table 3
Parameters of predictive efficiency.
Parameter NLR RDW Serum sodium CTP score MELD score
Sensitivity 81.1% 78.4% 75.7% 86.5% 87.8%
Specificity 86.7% 78.7% 85.3% 90.7% 88.0%
Positive predictive value 0.801 0.725 0.773 0.826 0.891
Negative predictive value 0.592 0.556 0.557 0.613 0.650
Youden’s index 0.678 0.571 0.610 0.772 0.758
AUC 0.836 0.752 0.774 0.883 0.894
95%CI 0.770~0.903 0.670~0.834 0.695~0.853 0.823~0.942 0.839~0.948
Optimal cut-off value 7.49 16.22% 120.95 mmol/L 10.34 points 11.35 points
Fig. 4. Predictive values of independent risk factors for death of patients with decompensated hepatitis B
cirrhosis.
Prognostic evaluation of decompensated hepatitis B cirrhosis 203
Vol. 64(2): 196 - 205, 2023
positively related to the disease severity 18.
Moreover, Wang et al. reported that RDW was
closely correlated with the mortality rate of
patients with hepatitis C cirrhosis 19, which
is consistent with the results of this study.
RDW increases due to nutrient (such as fo-
lic acid, vitamin B12, and iron) deficiencies,
aggravated erythrocyte destruction, inflam-
mation, and bone marrow suppression. These
conditions usually exist in patients with
chronic liver disease, especially in those with
decompensated hepatitis B cirrhosis 20. The
incidence rate of complications increases
in patients with decompensated hepatitis B
cirrhosis complicated by hyponatremia. De-
creased serum sodium levels shorten the av-
erage survival time, and the mortality rate
is elevated 21. The decreased level of serum
sodium is an independent risk factor leading
to poor prognosis of patients with decom-
pensated hepatitis B cirrhosis 22. This study
further confirmed the above results. On the
one hand, the damaged liver attenuates the
inactivation of antidiuretic hormone, which
facilitates the reabsorption of water by renal
tubules, leading to water retention. On the
other hand, the energy-rich phosphate link-
age is reduced due to liver function decline.
The sodium pump activity decreases, thereby
inhibiting the activity of Na+-K+-ATPase, and
resulting in the difficulties of K+ entering
cells and Na+ releasing from cells. Additional-
ly, plasma colloid osmotic pressure is reduced
by hypoproteinemia, which causes fluid ex-
travasation and dilutional hyponatremia 23.
CTP and MELD scores are commonly
utilized to evaluate the liver reserve func-
tion, disease severity, and prognosis of pa-
tients with cirrhosis in clinical practice.
Fernández Carrillo et al. found that the CTP
and MELD scores of patients with decom-
pensated cirrhosis were significantly higher
in the death group than those in the survival
group and could be considered as indepen-
dent risk factors for death and predictors
for prognosis 24. Similar to our study, Qiang
et al. reported that CTP and MELD scores
were positively related to NLR and RDW
and negatively associated with serum so-
dium 25. Notably, there are also differences
between the results of this study and those
mentioned above, which may be ascribed to
the differences between individuals, detec-
tion reagents, determination criteria, and
sample size.
Regardless, this study has some limi-
tations. This is a retrospective single-cen-
ter study with a small sample size, and the
indicator levels of patients with different
complications were not analyzed. Further
prospective multicenter studies with larg-
er sample sizes are ongoing in our group.
More detailed data can be obtained through
grouping based on different complications
of patients to provide reliable guidance for
clinical practice.
In conclusion, NLR, RDW, serum so-
dium, CTP score, and MELD score can be
considered as critical indices to evaluate
and predict the prognosis of patients with
decompensated hepatitis B cirrhosis.
Funding
This study was not financially supported.
Conflict of interest
The authors declare no conflicts of in-
terest.
Author’s ORCID numbers
Li Li: 0000-0002-8278-638X
Jihui Zhang: 0000-0001-9251-7047
Peng Yuan: 0000-0002-4305-6499
Jianjun Song: 0000-0003-0401-3936
Zhenhui Lu: 0000-0002-8983-7901
Guozhong Zhao: 0000-0001-6218-0973
The authors’ contributions
are listed below
LL: Study design and drafting of this
manuscript. JZ: Study design and perfor-
mance. PY: Study performance and data
collection. JS: Study performance and data
204 Li et al.
Investigación Clínica 64(2): 2023
analysis. ZL: Study design and significant re-
vision of this manuscript. GZ: Study design
and significant revision of this manuscript.
All coauthors have approved the submission
and publication of this manuscript.
REFERENCES
1. Yoshiji H, Nagoshi S, Akahane T, Asaoka Y,
Ueno Y, Ogawa K, Kawaguchi T, Kurosaki
M, Sakaida I, Shimizu M, Taniai M. Evi-
dence-based clinical practice guidelines for
liver cirrhosis 2020. J Gastroenterol 2021;
56(7): 593-619. https://doi.org/10.1007/
s00535-021-01788-x.
2. Surial B, Wyser D, Béguelin C, Ramírez-
Mena A, Rauch A, Wandeler G. Prevalence
of liver cirrhosis in individuals with hepati-
tis B virus infection in sub-Saharan Africa:
Systematic review and meta-analysis. Li-
ver Int 2021; 41(4): 710-719. https://doi.
org/10.1111/liv.14744.
3. Lapointe-Shaw L, Georgie F, Carlone D,
Cerocchi O, Chung H, Dewit Y, Feld JJ,
Holder L, Kwong JC, Sander B, Flem-
ming JA. Identifying cirrhosis, decom-
pensated cirrhosis and hepatocellular car-
cinoma in health administrative data: a
validation study. PLoS One 2018; 13(8):
e0201120. https://doi.org/10.1371/jour-
nal.pone.0201120.
4. Xie Y, He C, Wang W. A potential novel
inflammation biomarker for predicting
the prognosis of decompensated liver cirr-
hosis. Ann Med 2022; 54(1): 3201-3210.
https://doi.org/10.1080/07853890.2022.
2142277.
5. Higgins DC, Kuncio DE, Johnson CC,
Viner KM. Influence of birth origin and
risk factor profile on hepatitis B mortali-
ty: Philadelphia, PA 2003–2013. Ann Epi-
demiol 2018; 28: 169-174. https://doi.
org/10.1016/j.annepidem.2017.12.006.
6. Chinese Society of Hepatology, Infectious
Diseases Branch of Chinese Medical As-
sociation. [Diagnostic Criteria for Chronic
Hepatitis B (2015)]. Chin J Integr Tradit
Western Med Liver Dis 2015; 25: 384.
7. Akarapatima K, Chang A, Prateepchai-
boon T, Pungpipattrakul N, Songjamrat A,
Pakdeejit S, Rattanasupar A, Piratvisuth
T. Predictive outcomes using child-turco-
tte-pugh and albumin-bilirubin scores in
patients with hepatocellular carcinoma un-
dergoing transarterial chemoembolization.
J Gastrointest Cancer 2022; 53(4): 1006-
1013. https://doi.org/10.1007/s12029-02
1-00743-6.
8. Kim KM, Shim SG, Sinn DH, Song JE, Kim
BS, Kim HG. Child-Pugh, MELD, MELD-Na,
and ALBI scores: which liver function mo-
dels best predicts prognosis for HCC pa-
tient with ascites? Scand J Gastroenterol
2020; 55(8): 951-957. https://doi.org/10.1
080/00365521.2020.1788139.
9. Rachakonda V, Borhani AA, Dunn MA, An-
drzejewski M, Martin K, Behari J. Serum
leptin is a biomarker of malnutrition in de-
compensated cirrhosis. PloS One 2016; 11:
e0159142. https://doi.org/10.1371/jour-
nal.pone.0159142.
10. Verma N, Kaur A, Sharma R, Bhalla A,
Sharma N, De A, Singh V. Outcomes after
multiple courses of granulocyte colonysti-
mulating factor and growth hormone in de-
compensated cirrhosis: a randomized trial.
Hepatology 2018; 68: 1559-1573. https://
doi.org/10.1002/hep.29763.
11. Privitera G, Spadaro L, Marchisello S, Fede
G, Purrello F. Abnormalities of lipoprotein
levels in liver cirrhosis: clinical relevance.
Dig Dis Sci 2018; 63(1): 16-26. https://doi.
org/10.1007/s10620-017-4862-x.
12. Zhang J, Qiu Y, He X, Mao W, Han Z. Pla-
telet-to-white blood cell ratio: a novel and
promising prognostic marker for HBV-asso-
ciated decompensated cirrhosis. J Clin Lab
Anal 2020; 34(12): e23556. https://doi.
org/10.1002/jcla.23556.
13. Zhang Y, Zhao R, Shi D, Sun S, Ren H,
Zhao H, Wu W, Jin L, Sheng J, Shi Y. Cha-
racterization of the circulating microbiome
in acute-on-chronic liver failure associated
with hepatitis B. Liver Int 2019; 39: 1207-
1216. https://doi.org/10.1111/liv.14097.
14. Kalra A, Wedd JP, Bambha KM, Gralla J,
Golden-Mason L, Collins C, Rosen HR, Bi-
ggins SW. Neutrophil-to-lymphocyte ratio
correlates with proinflammatory neutro-
phils and predicts death in low model for
end-stage liver disease patients with cirr-
hosis. Liver Transplant 2017; 23: 155-165.
https://doi.org/10.1002/lt.24702.
Prognostic evaluation of decompensated hepatitis B cirrhosis 205
Vol. 64(2): 196 - 205, 2023
15. Liu K, Wang FS, Xu R. Neutrophils in li-
ver diseases: pathogenesis and therapeutic
targets. Cell Mol Immunol 2021; 18(1): 38-
44. https://doi.org/10.1038/s41423-020-
00560-0.
16. Mustika S, Waafi AK. Platelet-lymphocy-
te ratio and neutrophil-lymphocyte ratio
as early mortality predictors for patients
with end-stage chronic liver disease. In-
dones J Gastroenterol Hepatol Dig En-
dosc 2022; 23(2): 123-132. https://doi.
org/10.24871/2322022223-232.
17. Zhang M, Chen S, Zhu X, Huang A, Lan
F, Chen H, Li S, Qin X. Value of red cell
distribution width in assessing the seve-
rity of hepatitis B virus-related decom-
pensated cirrhosis. Clin Lab 2017; 63:
1467-1474. https://doi.org/10.7754/Clin.
Lab.2017.170331.
18. Ferdous A, Ahmed AN, Rahman SA, Hasan
T, Mahzabeen L. Role of red cell distribu-
tion width to platelet ratio in predicting
hepatic fibrosis in chronic hepatitis B. My-
mensingh Med J 2018; 27: 550-560.
19. Wang J, Huang R, Yan X, Li M, Chen Y,
Xia J, Liu Y, Jia B, Zhu L, Zhang Z, Zhu
C. Red blood cell distribution width: A pro-
mising index for evaluating the severity
and long-term prognosis of hepatitis B vi-
rus–related diseases. Digest Liver Dis 2020;
52: 440-446. https://doi.org/10.1016/j.
dld.2019.12.144.
20. Owoicho O, Tapela K, Olwal CO, Djomkam
Zune AL, Nganyewo NN, Quaye O. Red
blood cell distribution width as a prognostic
biomarker for viral infections: prospects and
challenges. Biomark Med 2022; 16(1): 41-50.
https://doi.org/10.2217/bmm-2021-0364.
21. Patel R, Poddar P, Choksi D, Pandey V, In-
gle M, Khairnar H, Sawant P. Predictors of
1-month and 3-months hospital readmis-
sions in decompensated cirrhosis: a pros-
pective study in a large Asian cohort. Ann
Hepatol 2019; 18(1): 30-39. https://doi.
org/10.5604/01.3001.0012.7859.
22. Barakat AA, Metwaly AA, Nasr FM, El-
Ghannam M, El-Talkawy MD. Impact of
hyponatremia on frequency of complica-
tions in patients with decompensated liver
cirrhosis. Electron Physician 2015; 7: 1349-
1358. https://doi.org/10.14661/1349.
23. Liamis G, Filippatos TD, Liontos A, Elisaf
MS. Hyponatremia in patients with liver di-
seases: not just a cirrhosis-induced hemo-
dynamic compromise. Hepatol Int 2016;
10: 762-772. https://doi.org/10.1007/s120
72-016-9746-1.
24. Fernández Carrillo C, Lens S, Llop E, Pas-
casio JM, Crespo J, Arenas J, Fernández I,
Baliellas C, Carrión JA, de la Mata M, Buti
M. Treatment of hepatitis C virus infection
in patients with cirrhosis and predictive va-
lue of MELD: Analysis of data from the He-
pa-C registry. Hepatology 2017; 65: 1810-
1822. https://doi.org/10.1002/hep.29097.
25. Qiang L, Qin J, Sun C, Sheng Y, Chen W,
Qiu B, Chen X, Chen Y, Liu F, Wu G. A no-
vel predictive model based on inflammatory
markers to assess the prognosis of patients
with HBV-related acute-on-chronic liver
failure: a retrospective cohort study. BMC
Gastroenterol 2020; 20(1): 301. https://
doi.org/10.1186/s12876-020-01437-2.