Retrospective Study Open Access
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Hepatol. Jul 27, 2024; 16(7): 1029-1038
Published online Jul 27, 2024. doi: 10.4254/wjh.v16.i7.1029
Trends of autoimmune liver disease inpatient hospitalization and mortality from 2011 to 2017: A United States nationwide analysis
Ali Wakil, Vikash Kumar, Department of Gastroenterology and Hepatology, The Brooklyn Hospital Center, Brooklyn, NY 11201, United States
Yasameen Muzahim, Department of Gastroenterology and Hepatology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, United States
Mina Awadallah, Nikolaos Pyrsopoulos, Department of Gastroenterology and Hepatology, Rutgers the New Jersey Medical School, Newark, NJ 07103, United States
Natale Mazzaferro, Patricia Greenberg, Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ 08854, United States
ORCID number: Ali Wakil (0000-0002-9377-4691); Mina Awadallah (0009-0001-3037-7488); Patricia Greenberg (0000-0001-6652-5019); Nikolaos Pyrsopoulos (0000-0002-6950-8174).
Author contributions: Wakil A, Muzahim Y, Awadallah M, Kumar V conducted research conceptualization, manuscript writing, analyzed the data and drew conclusion; Mazzaferro N, Greenberg P conducted research methodology, statistical analysis, data analysis; Pyrsopoulos N conducted research supervision and proofreading.
Institutional review board statement: This study was done using the National Inpatient Sample database which does not require approval from the institutional review board, thus no institutional review board approval was needed for this study.
Informed consent statement: Patients were not required to give informed consent to the study because the analysis used anonymous clinical data using National Inpatient Sample database which contains no identifying patient information and does not require informed consent to use the data.
Conflict-of-interest statement: All authors have no conflict of interest.
Data sharing statement: Statistical code, and dataset available from the corresponding author at pyrsopni@njms.rutgers.edu. Participants gave informed consent for data sharing.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Nikolaos Pyrsopoulos, FAASLD, MD, Professor, Department of Gastroenterology and Hepatology, Rutgers New Jersey Medical School, 150 Bergen Street, Newark, NJ 07103, United States. pyrsopni@njms.rutgers.edu
Received: April 6, 2024
Revised: May 23, 2024
Accepted: June 25, 2024
Published online: July 27, 2024
Processing time: 110 Days and 16.3 Hours

Abstract
BACKGROUND

Autoimmune liver diseases (AiLD) encompass a variety of disorders that target either the liver cells (autoimmune hepatitis, AIH) or the bile ducts [(primary biliary cholangitis (PBC), and primary sclerosing cholangitis (PSC)]. These conditions can progress to chronic liver disease (CLD), which is characterized by fibrosis, cirrhosis, and hepatocellular carcinoma. Recent studies have indicated a rise in hospitalizations and associated costs for CLD in the US, but information regarding inpatient admissions specifically for AiLD remains limited.

AIM

To examine the trends and mortality of inpatient hospitalization of AiLD from 2011 to 2017.

METHODS

This study is a retrospective analysis utilizing the National Inpatient Sample (NIS) databases. All subjects admitted between 2011 and 2017 with a diagnosis of AiLD (AIH, PBC, PSC) were identified using the International Classification of Diseases (ICD-9) and ICD-10 codes. primary AiLD admission was defined if the first admission code was one of the AiLD codes. secondary AiLD admission was defined as having the AiLD diagnosis anywhere in the admission diagnosis (25 diagnoses). Subjects aged 21 years and older were included. The national estimates of hospitalization were derived using sample weights provided by NIS. χ2 tests for categorical data were used. The primary trend characteristics were in-hospital mortality, hospital charges, and length of stay.

RESULTS

From 2011 to 2017, hospitalization rates witnessed a significant decline, dropping from 83263 admissions to 74850 admissions (P < 0.05). The patients hospitalized were predominantly elderly (median 53% for age > 65), mostly female (median 59%) (P < 0.05), and primarily Caucasians (median 68%) (P < 0.05). Medicare was the major insurance (median 56%), followed by private payer (median 27%) (P < 0.05). The South was the top geographical distribution for these admissions (median 33%) (P < 0.05), with most admissions taking place in big teaching institutions (median 63%) (P < 0.05). Total charges for admissions rose from 66031 in 2011 to 78987 in 2017 (P < 0.05), while the inpatient mortality rate had a median of 4.9% (P < 0.05), rising from 4.67% in 2011 to 5.43% in 2017. The median length of stay remained relatively stable, changing from 6.94 days (SD = 0.07) in 2011 to 6.51 days (SD = 0.06) in 2017 (P < 0.05). Acute renal failure emerged as the most common risk factor associated with an increased death rate, affecting nearly 68% of patients (P < 0.05).

CONCLUSION

AiLD-inpatient hospitalization showed a decrease in overall trends over the studied years, however there is a significant increase in financial burden on healthcare with increasing in-hospital costs along with increase in mortality of hospitalized patient with AiLD.

Key Words: Autoimmune hepatitis, Autoimmune liver disease, Epidemiology, Cost-Effective care, Admissions trend, Mortality rate

Core Tip: This study revealed a notable decline in the number of hospitalizations due to autoimmune liver disease (AiLD) across the United States, alongside an overall increase in the associated costs and financial burden. The findings offer valuable data for future prospective research, which could lead to more proactive screening efforts in outpatient settings to identify patients with AiLD earlier.



INTRODUCTION

Autoimmune liver diseases (AiLDs) are chronic inflammatory hepatobiliary disorders characterized by an autoimmune-based pathogenesis. These diseases are subdivided into three clinical types: Primary sclerosing cholangitis (PSC), primary biliary cholangitis (PBC), and autoimmune hepatitis (AIH)[1-4].

Although the three types of AiLDs share a common autoimmune pathogenesis, their clinical presentations can be distinguished. AIH is characterized by an infiltration of plasma cells and cytotoxic T cells around the portal tracts, which causes progressive destruction of the hepatocytes. In contrast, PSC affects the large intra- and extrahepatic bile ducts, resulting in obliteration of the biliary tree and biliary cirrhosis, eventually leading to portal hypertension. In PBC, the small bile ducts are damaged, causing further destruction of the portal tract and biliary cirrhosis. Patients occasionally present with mixed features suggestive of an overlap syndrome between AIH and PBC or PSC[5-8].

Genetic predispositions, environmental factors, and defects in immune regulation trigger the onset and continuation of AiLDs. Previous studies have shown that AiLDs have a lower prevalence compared to other liver diseases such as viral hepatitis, Metabolic dysfunction- associated steatotic liver disease, and alcoholic liver disease. Genetic, cultural, social, racial, environmental and other differences across various geographic regions may influence the manifestation of AiLDs[9-12].

Early literature indicates that AiLDs are a common reason for liver transplantation (LT) worldwide. Like other liver diseases with different etiologies, such as decompensated cirrhosis, liver failure, or hepatocellular carcinoma (HCC), AiLDs may necessitate LT. Over the past few years, the number of patients requiring LT for conditions like AIH and PSC has remained stable[13-16].

Recently published data have shown an increase in hospitalizations and financial burdens due to chronic liver diseases (CLD) in the United States from 2012 to 2016. Results indicated a 20.8% increase in the number of advanced liver disease-associated admissions, accompanied by a 26.2% increase in the total estimated admission financial burden, contributing $18.8 billion to the economic burden[17-19]. To date, information about inpatient admission rates for AiLD is limited. The aim of our study was to provide more insight into AiLD-related hospital admissions and the financial burden on the healthcare system in the United States. Data were obtained using the National Inpatient Sample (NIS) database from 2011 to 2017.

MATERIALS AND METHODS

This study is a retrospective analysis using the NIS databases. All subjects admitted between 2011 and 2017 with a diagnosis of AiLD, including AIH, PBC and PSC were identified using International Classification of Diseases (ICD-9 and ICD-10) codes. A primary AiLD admission was defined if the first admission code was one of the AiLD codes. A secondary AiLD admission was defined as having the AiLD diagnosis listed anywhere in the admission diagnoses (25 diagnoses). Only subjects aged 21 years and older were included. National estimates of hospitalization were derived using sample weights provided by the NIS. χ2 tests were used for categorical data. The primary trend characteristics analyzed were in-hospital mortality, hospital charges, and length of stay.

Data source

Maintained by the Agency for Healthcare Research and Quality, The NIS is part of the Healthcare Cost and Utilization Project (HCUP), and contains the largest de-identified publicly available all-payer inpatient care database in the United States. All states participate in the HCUP which covers roughly 97% of the United States population and allows the NIS to approximate a 20% stratified sample of discharges from United States community hospitals, as of 2012. The study was initiated in early 2020 and utilizes data from the years 2011-2017. The study period includes the transition from ICD, Ninth Revision, Clinical Modification (ICD-9-CM) to the ICD, Tenth Revision, Clinical Modification (ICD-10-CM)/Procedure Coding System. All NIS data are in compliance with the Health Insurance Portability and Privacy Act. There are extensive explanations of the NIS database, methods of data collection, training of personnel and descriptions of collected data and outcomes available on the Agency for Healthcare Research and Quality HCUP-NIS website. Methods of data extraction from the NIS database have been described extensively in previous studies. There are no patient identifiers in the HCUP-NIS database thus no Institutional Review Board approval was necessary for this study.

Statistical analysis

Patients included in the study were those with any ICD-9-CM or ICD-10-CM codes documenting a diagnosis of AiLD (including AIH, PBC, and PSC. Patients excluded from the study were those less than 18 years old. To identify patients with AiLD, we considered the following ICD-9-CM codes: 576.1, 571.6, 571.42 and ICD-10-CM codes: K83.01, K74.3, K75.4. Patients were categorized into those with a primary vs secondary diagnosis of AiLD. Those considered as having a primary diagnosis of AiLD were cases with AIH/PBC/PSC codes listed as the first diagnosis.

Demographics, socioeconomic status factors (insurance coverage and median household income), mortality, and total hospital charges per visit were first stratified by year and reported as weighted percentages with 95% confidence interval or weighted means with 95% confidence intervals. An admissions rate for each year was calculated by dividing the total number of admissions for any diagnosis of AiLD by the total number of admissions for each respective year. A subset analysis of deceased patients with a diagnosis of AiLD was performed and stratified by year. To observe differences of financial burden by demographics in deceased patients diagnosed with AiLD, a subset analysis of hospital charges was reported and stratified by hospital admission year. Bivariate analyses were performed using Pearson’s χ2 tests for categorical variables and t-tests for continuous variables. Tests for trend were performed using two-sided Cochran-Armitage Trend tests for categorical variables and simple linear regression for continuous variables. Frequencies of major mortality risks associated with AiLD including sepsis, GI hemorrhage and acute renal failure (ARF) were also calculated and stratified by year. Two-sided P-values < 0.05 were considered statistically significant, and all analyses were completed using SAS version 9.4 (SAS Institute, Cary, NC, United States).

RESULTS

Overall, AiLD-related hospital admissions decreased from 83263 (0.23% of total admissions in 2011) to 74850 (0.21% of total admissions in 2017; P < 0.0001). This includes all AiLD-related admissions, whether AiLD was the primary or secondary diagnosis. Additionally, the admission rate also decreased when the primary diagnosis was AiLD, with 13432 admissions in 2011 and 10100 admissions in 2017; P < 0.0001, as illustrated in Table 1 and Figure 1.

Figure 1
Figure 1 Trends of autoimmune liver diseases number of hospital admissions from 2011 to 2017. AiLD: Autoimmune liver diseases.
Table 1 Weighted hospital admissions with autoimmune liver diseases diagnosis years 2011-2017, mean ± SD.

2011
2012
2013
2014
2015
2016
2017
P value
P value
Primary AiLD diagnosis13432126501296012595120401050510100< 0.0001
Total AiLD admissions83263814308408090350885157258574850
Total admissions36962415364848463559779235358818357699423567542135798453
Total AiLD admission rate (%)0.230.220.240.260.250.200.21
Age group (%)
< 252.472.622.652.682.372.812.550.65< 0.0001
25-4411.711.5311.9812.5312.1213.5212.73< 0.0001
45-6432.5331.931.330.2830.3133.1832.220.96
65/65+53.353.9554.0754.555.2150.4952.50.0008
Reported death (%)4.674.234.64.394.95.565.43< 0.0001< 0.0001
Type of insurance/payment (%)< 0.0001
Medicare56.357.557.157.7357.7554.8156.470.15
Medicaid9.219.049.0810.2110.4411.8111.32< 0.0001
Private insurance28.2526.9827.0327.127.0628.6627.30.97
Self-Pay3.353.613.692.622.512.312.43< 0.0001
No charge0.590.390.560.260.190.220.27< 0.0001
Other2.32.482.542.082.052.192.20.01
Median household income based on zip code (%)< 0.0001
0-25th percentile25.0825.4324.4824.7425.9725.7625.220.03
26th to 50th percentile (median)24.8524.4825.2227.0624.3224.7925.670.1
51st to 75th percentile26.6124.8826.4423.7225.1825.2824.70.001
76th to 100th percentile 23.4725.2123.8624.4824.5324.1724.410.48
Sex (%)0.0079
Male39.9241.0840.8640.9741.1740.3439.440.25
Female60.0858.9259.1459.0358.8359.6660.560.25
Hospital bedsize (%)< 0.0001
Small10.1911.7611.715.7214.5714.6915.54< 0.0001
Medium22.2224.1123.8526.0526.4825.3725.16< 0.0001
Large67.5964.1264.4558.2358.9559.9459.3< 0.0001
Hospital region 0.0006
Northeast21.2922.121.521.1720.8220.1620.620.0007
Midwest22.6522.7922.5222.9323.5323.5823.20.17
South33.932.4233.3132.8233.1634.0434.20.26
West22.1622.6922.6723.0822.4922.2221.980.49
Race (%)< 0.0001
White69.3969.8268.8269.769.0468.2267.540.35
Black10.439.8410.5810.4410.911.6311.87< 0.0001
Hispanic13.1511.6712.211.5211.5911.9112.510.56
Asian or Pacific Islander3.74.244.674.664.664.144.070.03
Native American0.60.720.670.670.740.860.770.006
Other2.723.723.063.013.073.243.240.17
Hospital location (%)< 0.0001
Rural8.557.917.445.955.685.855.35< 0.0001
Urban nonteaching35.0831.7831.5820.8221.4119.1217.11< 0.0001
Urban teaching56.3860.3160.9873.2372.9175.0377.54< 0.0001
Discharge (%)< 0.0001
Routine58.5359.2157.8757.5657.0856.1755.37< 0.0001
Transfer to short-term hospital4.864.644.824.624.674.84.510.54
Transfer other115.5215.6915.4316.1915.6314.8915.20.15
Home health care 15.8815.7616.7616.6517.1917.9718.67< 0.0001
Against medical advice 0.470.420.490.530.530.580.79< 0.0001
Died4.674.234.64.394.95.565.43< 0.0001
Total charges 66031 ± 959.6764643 ± 917.2267530± 873.5470390 ± 846.9073081 ± 935.8675856 ± 1162.078987 ± 1120.29< 0.0001< 0.0001
Length of stay 6.94 ± 0.076.72 ± 0.076.65 ± 0.066.76 ± 0.066.70 ± 0.066.56 ± 0.066.51 ± 0.06< 0.0001< 0.0001

Data on demographic outcomes, as detailed in Table 2, revealed that the median age of patients admitted with AiLD was 53.4 years. The majority of patient were 65 years and older (P < 0.0001). The predominant race was White (69.39%-67.54%; overall P < 0.0001). The predominant gender among AiLD admissions was female (60.08%-60.56%; overall P = 0.0079). The primary healthcare payer was Medicare (56.3%-56.47%; overall P < 0.0001). Most AiLD-related hospital admissions were reported in the southern region of the United States (33.9%-34.2%; overall P = 0.0006). Most reported admissions with AiLD were from teaching hospitals (56.38%-77.54%; P < 0.0001). The most common discharge outcome was routine (58.53%-55.34%; overall P < 0.0001). The median length of stay remained similar, from 6.94 days in 2011 to 6.51 days in 2017 (overall P < 0.0001). Total hospital admission cost increased from $66031 in 2011 to $78987 in 2017 (P < 0.0001), as shown in Table 3.

Table 2 Weighted mortality-related risk factors among deceased hospitalized patients diagnosed with autoimmune hepatitis, primary biliary cholangitis, and primary sclerosing cholangitis, 2011-2017.

2011
2012
2013
2014
2015
2016
2017
    P value
n83263814308408090350885157258574850
Risk factors
Sepsis (%)13.0811.1710.6510.4926.6571.9473.93< 0.0001
Gastrointestinal hemorrhage (%)10.949.179.2410.2410.1412.7111.810.07
Acute renal failure (%)61.9463.165.4767.5468.3468.7168.82< 0.0001
Table 3 Weighted hospital admissions resulting in mortality with autoimmune liver diseases diagnosis years 2011-2017, mean ± SD.
 
2011
2012
2013
2014
2015
Total mean charges ($)66031 ± 959.6764643 ± 917.2267530 ± 873.5470390 ± 846.9073081 ± 935.86
Age group
< 256638058196700236482770241
25-446798059435648136303977106
45-647146570030709517293478617
65/65+6229462889660357096569282
Type of insurance/payment
Medicare6397662771653386963469826
Medicaid8930074468782937373285970
Private insurance6347466434699557075874432
Self-Pay5950258456624976754576839
No charge4219546303717615582056524
Other6715364584605467549777006
Sex
Male7320972125745687796980807
Female6124459435626776514367712
Race
White6132160626627506675567207
Black8195866471740057383585676
Hispanic8439078300873178477586062
Asian or Pacific Islander10558811086289349102233103801
Native American5707150091609055548462996
Other7168174580860778535297951
Linear regression was used to assess trend in charges over years within each demographic group     

The median inpatient mortality increased from 2011 to 2017 (4.67%-5.43%; P < 0.0001; Figure 2), as detailed in Table 2. The most significant risk factor associated with AiLD mortality was the incidence of ARF, which rose from 61.94% in 2011 to 68.82% in 2017 (P < 0.0001). The second most common risk factor related to AiLD inpatient hospital death was found to be sepsis, which increased significantly from 13.08% in 2011 to 73.93% in 2017; P < 0.0001, as detailed in Table 2.

Figure 2
Figure 2  Trends of autoimmune liver diseases inpatient mortality from 2011 to 2017.
DISCUSSION

AiLDs are chronic inflammatory hepatobiliary disorders that present as complex conditions, thought to arise from the interplay of genetic susceptibility and nonspecific environmental triggers[20,21]. Although AiLDs are considered rare across the spectrum of liver diseases, with a prevalence of less than 50 per 100000 population, studies continue to show their high morbidity and mortality[22,23].

Generally, epidemiological studies offer current insights into the presentation, clinical course, and financial burden that AiLDs impose on the healthcare system, along with their outcomes and impact on patients' quality of life[24]. However, population-based epidemiological data for AiLDs are relatively scarce. Many international epidemiological studies have shown both heterogeneous results and inconsistent trends in the incidence and prevalence of AiLDs[25].

In our retrospective study, we aimed to analyze the epidemiology, economic burden, and mortality rate of AiLDs in the United States. We queried the NIS database from 2011 to 2017. The primary outcomes included the rate of hospitalization, hospital costs, and inpatient mortality, while also examining contributing risk factors and demographic patterns in the hospitalized AiLDs population.

Our data analyzed all AiLDs-associated hospital stay from 2011 to 2017 using the NIS database. There were about 36.9 million total admissions in 2011, approximately 83263 (0.23%) were due to AiLDs. This number decreased to 74850 (0.21%) out of 35.8 million admissions in 2017 (P < 0.001), as shown in Table 3. Furthermore, the number of admissions with a primary diagnosis of AiLDs declined from 13432 (0.04%) in 2011 to 10100 (0.03% in 2017; P < 0.001). This downward trend in hospitalizations over the years may correlate with significant advancements in diagnostic methods and pharmacotherapy for AiLDs, which have positively impacted the adequacy of symptom control, early recognition of extra-hepatic manifestations, and surveillance for complications[26].

Additionally, we found that each admission related to AiLDs incurred an average cost of $66031 in 2011 and $78987 in 2017 (P < 0.0001), with the average in-hospital length of stay decreasing from 6.94 days in 2011 to 6.51 days in 2017 per admission (overall P < 0.0001) (Table 1). Approximately 56% of these patients had Medicare as the primary expected payer. The rising cost per admission significantly escalates the burden on the healthcare system and the public payer, which is funded by tax income[17].

Literature discussed that LT is a standard therapeutic approach for the treatment of end-stage acute and CLD including AiLDs patients with end-stage liver disease, hepatic malignancies, intractable symptoms, acute liver failure in AiLDs patients who are unresponsive to conventional therapy. These data suggest that the transplant percentage and transplant rate are decreasing for HCC, while increasing for autoimmune conditions, among which ALD, metabolic dysfunction-associated steatohepatitis, and viral hepatitis with ALD display the fastest rate. AiLDs account for approximately 10.45 % of LT procedures performed in the United States with current five- and ten-year survival rates post-transplant in autoimmune disease are excellent, at 88% and 78%, respectively[27-29].

Our study showed that most AiLDs hospitalized individuals were female 60.08%-60.56%, and the hospital admissions are predominantly made by patients with age of 65 and older. Studies reported that the mechanisms behind the sex differences observed in AiLDs, specifically the female predominance in AIH and PBC. Statistics show a more severe disease progression in male PBC patients. There is a male predominance among PSC patients, accompanied by a reduced risk of ulcerative colitis. Additionally, there is a higher incidence of cholangiocarcinoma in female patients. However, the underlying etiology of these trends remains largely unclear. Future research can be more dedicated on understanding the effects of sex-related genes and intestinal microbiota underlying AiLD immune dysregulation, as well as the role of sex hormones in immune cells, and eventually predict clinical course, complications, prognosis, and quality of life in AiLDs patients[10].

We also observed that the mortality of hospitalized patients with AiLDs was 4.67% in 2011, which has increased to 5.43% in 2017 (Table 3). We also examined some of the major inpatient mortality-related risk factors among AiLDs. ARF was the most common mortality-risk factor in these patients approaching around 61.94% in 2011 and 68.82% in 2017. A possible explanation of these results is that more than 35% of hospitlizated AiLD patient have decompensated cirrhosis[30] which in itself has association with high incidence of ARF. Literature explained that ARF in CLD encompass three main categories; first one is volume-responsive pre-renal failure, volume unresponsive prerenal failure with tubular dysfunction and acute tubular necrosis, and last is hepatorenal syndrome type 1, with prevalence rates of 68%, 33%, and 25% respectively[31,32]. Sepsis was also noted as mortality-risk 13.08% in 2011 and was significantly increased to 73.93% in 2017 (Table 2). This is likely a result of implementing the conversion of ICD-9 to ICD-10 in 2015. The explicit use of ICD-9 and ICD-10 codes for sepsis are inconsistent and unreliable, and it likely led to an overestimate of prevalence rate of sepsis in this study.

Our retrospective data is one of the few studies focusing on trends in inpatient admissions, mortality rates, and complications while also observing demographic patterns; however, our data were interpreted within the context of certain limitations. The NIS data were reported per hospitalization, without providing a detailed study of each individual patient or follow-up data after hospital discharge. Given the nature of the database analysis, a longitudinal analysis is not possible, and therefore, causality cannot be established. Additionally, there may be repeated hospitalizations of patients with AiLDs within this study cohort. Since the main objective of this study was to characterize the overall clinical and economic burden of AiLD hospitalizations in the United States, these results still provide critical data to address this significant public health concern.

CONCLUSION

Analysis of trends in AiLDs-related hospitalizations from 2011 to 2017 revealed a decrease in both the overall admission rate and the length of stay. However, there was a significant increase in both mortality and healthcare utilization costs in the United States. The impact of our study results can be considered a turning point to guide healthcare strategies towards more efficient allocation of health resources. Additionally, these strategies can address the imminent financial burden across the diverse clinical spectrum in the AiLDs population, especially given the ongoing increase in morbidity and mortality.

Footnotes

Provenance and peer review: Unsolicited article; Externally peer reviewed.

Peer-review model: Single blind

Corresponding Author's Membership in Professional Societies: American Association for the Study of Liver Diseases; American College of Gastroenterology.

Specialty type: Gastroenterology and hepatology

Country of origin: United States

Peer-review report’s classification

Scientific Quality: Grade D, Grade D

Novelty: Grade C, Grade C

Creativity or Innovation: Grade C, Grade C

Scientific Significance: Grade C, Grade C

P-Reviewer: Sholkamy A S-Editor: Liu H L-Editor: A P-Editor: Cai YX

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