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Analysis of mortality prognostic factors using model for end-stage liver disease with incorporation of serum-sodium classification for liver cirrhosis complications

Introduction

Liver cirrhosis is the end-stage of chronic liver disease, and with the progress of liver cirrhosis, hepatocyte necrosis is presented widely, as well as fibrosis, which destroys the normal structure of the liver.[1] Liver cirrhosis ranks as the 14th leading cause of mortality in adults in the world and in Korea, liver diseases rank as the 8th leading cause of mortality, accounting for 13.3 deaths per 100,000.[2,3] The 5-, 10-, and 15-year survival rates of patients with cirrhosis are 68%, 57%, and 43%, respectively. Liver cirrhosis is one of the major diseases leading to mortality in Korea in which the incidence rate of hepatitis B is high.[4] There are a variety of causes, including chronic hepatitis due to hepatitis B virus or hepatitis C virus, consumption of a large amount of alcohol, and autoimmunity, while hepatitis B is the most common, with 48% to 70% of cases.[5]

Depending on the presence of complications in the progress of liver cirrhosis, it is classified into decompensated cirrhosis, with complications, and compensated cirrhosis, without complications.[6] The progress rate of compensated cirrhosis to decompensated cirrhosis is approximately 58% and once it progresses to decompensated cirrhosis, its mortality rate within 5 years becomes 85% without liver transplantation.[7] Complications could cause a high difference in the progress of the disease. Most common complications are ascites, hepatic encephalopathy, and varicose veins.[8] Since the progression of cirrhosis is accelerated each time a complication recurs, the management and treatment of the complication is critical in enhancing the quality of life and the life expectancy of patients.[7] With the recent diversification of chronic diseases, the incidence rate of complications has also risen; so, the management of complications has a higher influence over the quality of life.[7–9] Therefore, it would be reasonable to assume that in patients with liver cirrhosis, the presence of complications and its treatment are critical factors for anticipating the degradation of the quality of life and the mortality.

Liver transplantation enhances the quality of life and survival rate of patients with cirrhosis; however, numerous patients are not given the opportunity of liver transplantation due to a lack of donors. As an indicator for the progress and prognosis of cirrhosis, the model for end-stage liver disease with incorporation of serum-sodium (MELD-Na) has been recommended.[10,11] Traditionally, Child-Turcotte-Pugh (CTP) is used as index for assessing the progress of cirrhosis of an inpatient, and the severity of cirrhosis is classified into A, B, and C based on the presence of ascites and/or hepatic encephalopathy, serum bilirubin, prothrombin period, and serum albumin.[10,12] Using CTP, 5 to 6 points are assigned to Stage A, 7 to 9 points to Stage B, and 10 points or higher to Stage C. The higher the score is, the more severe it gets.[10] However, since subjective judgement could be involved in the judgement of ascites and hepatic encephalopathy, indices of CTP, the judgement of severity using the MELD or the MELD-Na is becoming more important, as well as treatment mediation based on such severity.[11] MELD-Na is assessed with serum bilirubin, prothrombin period, serum creatinine, serum sodium, and other factors. Since MELD-Na is more likely to predict mortality than other tools, it has been recently used to create a waiting list of patients for liver transplantation.[12,13] Studies on the prognosis of patients with cirrhosis have been mostly focused on terminal cases and anticipation of short-term mortality, and most of them highlight the analysis of prognosis of patients with cirrhosis rather than classification of patients considering the level of severity.[14–19] Moreover, the analysis of prognostic factors for mortality of patients should include not only disease-related factors, but also personal and social factors. Such analysis could provide a comprehensive and systematic understanding of patients diagnosed with cirrhotic complications. Therefore, in this study, patients diagnosed with cirrhotic complications were divided into a high-risk group and a low-risk group using MELD-Na designed with objective physiological indicators, and prognostic factors were analyzed for each group. We aimed to devise a self-nursing method suitable for each severity level of liver cirrhosis and to provide basic data for improving the effectiveness of management of chronic diseases.

The purpose of this study was to check the average period of survival and average accumulated rate of survival for patients diagnosed with ascites, hepatic encephalopathy, or varicose veins, which are complications of cirrhosis. Patients were hospitalized because of the complications for the first time and they were assigned to either a group at high risk for mortality or a group at low risk for mortality after examination using MELD-Na, and for each group, mortality prognostic factors were investigated. To achieve this, the following was done:1)information regarding the patient's personal, disease, social and environmental factors, and mortality was identified;2)the cut-off point for MELD-Na for classifying the patient to either the high-risk group or the low-risk group was identified;3)information regarding the personal, disease, social and environmental factors, and mortality in the high-risk group or the low-risk group was identified;4)differences in the average period of survival and average accumulated rate of survival between the high risk group and the low risk group were examined; and5)mortality prognostic factors of all patients, the high-risk group, and the low-risk group were identified.

Design, sample, and setting

A retrospective cohort study was carried out. Our study was applied to the STROBE Checklist of items. This study was approved (2016-08-072) by an appropriate Institutional Review Board and the investigation conformed with the principles outlined in the Declaration of Helsinki.

The participants of this study were patients who were diagnosed with ascites, hepatic encephalopathy, or varicose veins and admitted to a general hospital located in Seoul for the first time due to that reason. Among 10,535 patients admitted to the hospital due to complications of cirrhosis, 263 patients were selected based on the criteria stated above and exclusion criteria. The aforementioned selection criteria and exclusion criteria for the participants were as follows.1)Selection criteria:(a)patients, aged 18 or older, diagnosed with ascites, hepatic encephalopathy, or varicose veins and admitted to a hospital for the first time due to that reason;(b)patients diagnosed with at least one of the complications, including ascites, hepatic encephalopathy, or varicose veins.2)Exclusion criteria:(a)patients simultaneously diagnosed with at least two complications, including ascites, hepatic encephalopathy, or varicose veins;(b)patients with history of complications of liver cirrhosis;(c)patients diagnosed with chronic renal failure, malignant tumor, and/or cardiovascular disease at the time of hospitalization;(d)patients who underwent liver transplantation during the data collection period.

Case record

The case record is constructed with 28 questions, focusing on the mortality prognostic factors of cirrhosis, revealed by previous studies and literature review. There are 8 questions addressing the personal information of the participant, including gender, age, days of hospitalization, drinking status, smoking status, family history of liver disease, underlying disease, and body mass index; 12 questions addressing the disease, including cause of cirrhosis, clinical tests (serum total bilirubin, blood urea nitrogen, serum creatinine, prothrombin time [PT], aspartate transferase [AST], alanine transferase, albumin, platelets, leukocyte, hemoglobin, and serum sodium), and CTP points and stage for the severity of a disease; 4 questions for addressing the social environment of the participant, including marital status, primary caregiver, residence, and follow-up management; and 4 questions addressing mortality, including the mortality of the participant, date of mortality, drop out, and date of drop out.

MELD-Na

The MELD score, developed by the Mayo clinic, was calculated using 3.8 × loge (bilirubin [mg/dL]) + 11.2 × loge (INR) + 9.6 × loge (Creatinine [mg/dL]) + 6.4 × (etiology: 0 if cholestatic or alcoholic, 1 otherwise) at http://www.mayoclinic.org/medical-professionals/model-end-stage-liver-disease/meld-model.[21] The MELD-Na score is the score calculated using the equation of MELD + 1.59 × (135-Na) (maximum and minimum of Na are 135 and 120 mEq/L, respectively).[22]

Data analysis

The collected data were analysed based on the survival package provided by the statistical program R Version 3.4.2 (R Foundation for Statistical Computing, Vienna, Austria). The detailed methods of analysis were as follows:1)The distributions of values for the general, socioenvironmental, and clinical factors were analysed using descriptive statistics, such as frequency, percentage, mean, and standard deviation.2)For calculating the cut-off point of MELD-Na score, classifying the high-risk group and the low risk group, the receiver's operating characteristic (ROC) curve and the area under the curve (AUC) were calculated.3)The general, socioenvironmental, and clinical factors and mortality of the high-risk group and the low-risk group were analyzed using descriptive statistics, such as frequency, percentage, mean, and standard deviation.4)The difference between the risk groups in the average survival period was analysed using t test and the accumulated survival rate was analyzed by long-rank test while the accumulated survival rate was calculated with Kaplan–Meier estimates.5)The analysis of mortality prognostic factors for all participants and each risk group was performed with Cox's proportional hazard regression model, and the selection of variables for a multivariate analysis was performed with the stepwise selection using Akaike information criterion (AIC), and Schoenfeld residual test was performed.

Participants’ characteristics

The general, socioenvironmental, and clinical factors of 263 patients were as follows (Table 1). Among the general factors of the patients, 168 patients (63.9%) were men and the average age was 54.67 years. Among clinical factors, for the cause of cirrhosis, hepatitis B was for 173 (65.8%), hepatitis C for 27 (10.3%), alcohol consumption for 21 (8.0%), and others (autoimmune hepatitis, and unknown) for 42 (16.0%). The average CTP score was 7.60, and for CTP Stage, 114 (43.3%) participants were assigned to Stage A. The average score for MELD-Na was 15.55.

Cut-off point for classification of risk groups

For classifying the participants into a group at high risk of mortality or low risk of mortality, MELD-Na was used. The diagnostic performance of MELD-Na was evaluated with AUC criteria developed by Muller et al.[23] AUC for MELD-Na of this study was 0.70, and its diagnostic performance was found to be fair. Using the trade-off point where sensitivity and singularity of MELD-Na were crossed over, a group at high risk of mortality and a group at low risk of mortality were classified at the score of 14, a median between 13.5 and 14.5 (Fig. 1).

Cumulative survival rates of all participants and risk groups

To identify the survival period distribution curve through the analysis of survival for all participants and each risk group, Kaplan–Merier estimates were used (Table 2). The survival period distribution curves for all participants and each risk group are shown in Figure 2. As shown in the figure, it could be checked that the accumulated survival rate decreased with time. In all participants and the high-risk group, the survival rate was dramatically decreased after 4, 11, and 13 years of follow-up while the accumulated survival rate of the low-risk group was shown to decrease rather gradually. There was a significant difference in the accumulated survival rate over time between the high-risk group and the low-risk group (P < .001) (Table 3).

Mortality prognostic factors for all participants and risk groups

Among all variables, the variables suitable for Cox's multivariate proportional hazard regression model were selected. The stepwise selection was chosen for selection of the variables. Through the selection of variables for the mortality prognostic factors of all participants, it was found that gender, cause of liver cirrhosis, CTP stage, marital status, primary caregiver, and follow-up management were significant. In addition, for the high-risk group, the gender, age, and primary caregiver were found to be significant while AST, albumin, and primary caregiver were significant variables for the low-risk group. The details are given in Table 4. For numerical variables, they were converted to log and then, their risk rates were calculated and they were defined as exp (1)≒2.718.

In the multivariate analysis of the mortality prognostic factors of all participants, it was found that the mortality risk rate for women was 0.39 times lower than that for men (P < .001). The mortality risk rate for the participants having hepatitis C as the cause of cirrhosis was 5.32 times higher than hepatitis B (P < .001). In case of CTP stages, the mortality risk rate of CTP Stage B was 4.01 times higher than CTP Stage A (P < .001), and of CTP Stage C was 7.56 times higher than CTP Stage A (P < .001). For the participants whose primary care giver was a spouse, their mortality risk rate was 3.95 times lower than of the participants having children, siblings, or caregiver as primary caregiver, or no primary caregiver (P < .001), and the mortality risk rate for the participants having periodic follow-up management was 0.46 times lower than having irregular follow-up management (P < .001).

In the multivariate analysis of the mortality prognostic factors of the high-risk group, it was found that the mortality risk rate for women was 0.41 times lower than that for men (P < .001). In the case of age, a numerical variable, the mortality risk rate was increased 19.01 times since age was increased by 2.718 years (P < .001), and the mortality risk rate of the participants whose primary caregiver was a spouse was 2.17 times lower than of the participants having others as primary caregiver (P < .001). In the multivariate analysis of the mortality prognostic factors of the low-risk group, it was found that the mortality risk rate was increased 2.01 times higher with an increase of AST by 2.718 U/L (P < .001) and the mortality risk rate was decreased 0.04 times with an increase of albumin by 2.718 g/dL (P < .001). The mortality risk rate of the participants whose primary caregiver was a spouse was 2.38 times lower than of the participants having others as primary caregiver (P < .001).

Discussion

MELD-Na is an objective index for predicting the mortality caused by liver diseases and it has been widely used for studies on the prognosis of liver disease.[11] AUC of MELD-Na of this study was found to be 0.70, which was relatively lower than that of other studies, of 0.85 to 0.92.[13,16,17] However, according the suggestion of Muller et al,[23] its diagnostic performance ranged from good-excellent. It would be attributable to its significantly longer follow-up period, of 14 years, than other studies of which follow-up periods were up to 20 months, and the relatively lower AUC of this study might be because it included data from even cases censored during the follow-up period in order to reduce bias in its results.[12]

The cut-off point of MELD-Na for this study was 14, relatively lower than that of other studies.[13,24] While most of the previous studies focused on patients in end-stage cirrhosis or admitted to the intensive care unit and scheduled for liver transplantation, this study focused on patients diagnosed with cirrhosis complications that could be treated in general wards, for the first time, so there would be a difference in terms of severity. Compared with previous studies, this study addressed patients with relatively low mortality rates, less severe conditions, and longer average survival period, but it would be necessary to expand the scope of participants to raise the use of the cut-off point of MELD-Na.

Since the survival rate and accumulated survival rate of this study were found to be higher than those of other studies, it supports the importance of management of complications.[19,25] In the future, it would be necessary to study the survival rates of patients with cirrhosis, followed up for a long period, and make a comparison with this study, and the long-term survival rate of patients with cirrhosis.

It was confirmed that gender, cause of liver cirrhosis, CTP stage, marital status, primary caregiver, and follow-up management were prognosis factors affecting the mortality of the participants, and in a number of studies, gender has been addressed as an important factor.[1,26,27] The cause of cirrhosis was also found to be an important predicator of mortality. Although a difference between hepatitis B and hepatitis C could be attributable,[28] it also supported that a rapid treatment of viral hepatitis might affect prognosis. That is why, the early administration of antiviral drugs is important for reducing the incidence of cirrhosis and disease-related mortality.[29] Due to the recent diversification of hepatitis antiviral drugs, it would be the top priority to provide proper instructions on how to administer them. Patients should be educated to have an accurate understanding about drugs, as well as the importance of administration of antiviral drugs for treatment. In addition, it would be necessary to devise a specific plan to raise the rate of administration of antiviral drugs.

CTP point and stage are very important factors for predicting mortality, and other studies have supported.[12,27] Among various significant prognostic factors of patients with cirrhosis, CTP score was claimed to be the most significant variable.[1] Therefore, despite the criticism that the CTP point is a subjective tool, it is still a very important index to determine the prognosis of cirrhosis.[10] The modified Chile-Pugh classification was used to reduce the criticism of the CTP score by taking into account the changes in patient consciousness such as depression, disorientation or confusion, however, the hematological values of the physiological indicators reflected are not significantly different from CTP because they remain unchanged.[30,31] In addition to CTP or modified Chile-Pugh classification, indocyanine green (ICG) test, MELD, MELD-Na, and MELD to Serum Sodium ratio (MESO) have been examined as mortality predictors, but their accuracies vary between patients, depending on the presence of complications and/or variables. [10–12]

The necessity of a comparative study of mortality prediction tools has been constantly emphasized, and it would be also important to discuss the patient-reported outcomes (PRO) that could affect the quality of life for patients.[32] In addition, it would be also helpful to use various tools simultaneously to have an accurate prediction.

Marital status and primary caregivers are important predictors, especially from the aspect of nursing. Since there is no study on the relationship between mortality prognosis and primary caregivers for patients with cirrhosis, it is not possible to have a direct comparison, but in the study on self-management of disease by the recipient of liver transplantation, family relationship was found to be a factor affecting self-management of disease, and family supports and cohabitation were shown to be important variables for self-management of disease for patients with chronic diseases.[33,34] Therefore, family support could affect the self-management of disease as well as progression and prognosis of disease. Since a patient's spouse constantly seeks out what the patient needs, communicates, and exchanges emotions with the patient, the presence of a spouse could affect disease self-management of a patient.[33] The results of this study also support the importance of a spouse's support and suggest the importance of participation of a spouse in the treatment of a patient.

Only in the low-risk group, there were significant differences in AST and albumin, and other studies also support that bilirubin, albumin, PT, and others are mortality predictors for patients with cirrhosis.[1,35] However, as shown in the systematic review by D’Amico et al,[1] since there are only few studies addressing AST, it would be necessary to consider more various laboratory results. Laboratory results are not significant as a mortality predictor in the high-risk group because they are included in the classification criterion or they include abnormal results since patients are at high risk for mortality. On the other hand, in case of the low-risk group, laboratory results are likely to indicate normal conditions so the change in such laboratory results could have a significant influence over the mortality risk rate. Therefore, for patients with early stage cirrhosis, laboratory results are very important and it is also important for them to understand that it is critical to monitor and correct the laboratory results for the treatment of disease.

In the high-risk group, age was shown to be an important variable and it was supported by our results that the average age was 54.67 years and that age becomes a very important mortality predictor if the patient is over 50 years old.[27]

The fact that important risk factors differ among risk groups has a clinically important meaning. The classification of patients by risk level could be the foundation to provide accurate guidelines for disease management. Furthermore, this classification could be the foundation for patients with cirrhosis, for which early detection of mortality prognosis and timely management of complications are critical to correct such prognostic factors and apply a proper nursing intervention. This study is significant given that it applied MELD-Na to patients diagnosed with cirrhosis complications for the first time, examined its cut-off point to classify patients based on the risk of disease, and investigated the risk factors for each risk group. Furthermore, it examined prognostic factors from a population-social perspective, other than the medical perspective.

Since this study collected data from a single center, it would not be appropriate to generalize its results; hence, it would be necessary to conduct multi-center replication study. In addition, a study on the analysis of survival and mortality prognostic factors for patients with disease, other than complications of cirrhosis, from the perspective of nursing would be very beneficial.

Conclusions

For patients diagnosed with complications of cirrhosis for the first time, it was found that gender, cause of liver cirrhosis, CTP stage, marital status, primary caregiver, and follow-up management were variables affecting mortality prognosis, as well as gender, age, and primary caregiver for the high-risk group and AST, albumin, and primary caregiver for the low-risk group. Since this study analyzed mortality prognostic factors through the analysis of survival of patients with cirrhosis, it would be possible to have a variety of studies on factors of survival and mortality of patients from the perspective of nursing through the analysis of survival of various diseases. Especially, based on the results of this study, when nursing patients are diagnosed with complications of cirrhosis for the first time, early detection of mortality prognostic factors would be possible. Such early detection could allow for the correction of factors that might promote mortality, as well as prevention of recurrence of the complications and provision of nursing interventions to help the progress of disease in patients.

Acknowledgments

We would like to thank the reviewers for their critical and helpful comments.

Author contributions

Conceptualization: Yuna Kim, Kyunghee Kim, InSil Jang.

Data curation: Yuna Kim.

Formal analysis: Yuna Kim, Kyunghee Kim.

Methodology: Kyunghee Kim, InSil Jang.

Writing – original draft: Yuna Kim, Kyunghee Kim, InSil Jang.

Writing – review & editing: InSil Jang.

InSil Jang orcid: 0000-0003-3344-0347.