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Xu X, Gong K, Hong L, Yu X, Tu H, Lan Y, Yao J, Ye S, Weng H, Li Z, Shi Y, Sheng J. The burden and predictors of 30-day unplanned readmission in patients with acute liver failure: a national representative database study. BMC Gastroenterol 2024; 24:153. [PMID: 38702642 PMCID: PMC11067096 DOI: 10.1186/s12876-024-03249-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 04/29/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND Liver diseases were significant source of early readmission burden. This study aimed to evaluate the 30-day unplanned readmission rates, causes of readmissions, readmission costs, and predictors of readmission in patients with acute liver failure (ALF). METHODS Patients admitted for ALF from 2019 National Readmission Database were enrolled. Weighted multivariable logistic regression models were applied and based on Directed Acyclic Graphs. Incidence, causes, cost, and predictors of 30-day unplanned readmissions were identified. RESULTS A total of 3,281 patients with ALF were enrolled, of whom 600 (18.3%) were readmitted within 30 days. The mean time from discharge to early readmission was 12.6 days. The average hospital cost and charge of readmission were $19,629 and $86,228, respectively. The readmissions were mainly due to liver-related events (26.6%), followed by infection (20.9%). The predictive factors independently associated with readmissions were age, male sex (OR 1.227, 95% CI 1.023-1.472; P = 0.028), renal failure (OR 1.401, 95% CI 1.139-1.723; P = 0.001), diabetes with chronic complications (OR 1.327, 95% CI 1.053-1.672; P = 0.017), complicated hypertension (OR 1.436, 95% CI 1.111-1.857; P = 0.006), peritoneal drainage (OR 1.600, 95% CI 1.092-2.345; P = 0.016), etc. CONCLUSIONS: Patients with ALF are at relatively high risk of early readmission, which imposes a heavy medical and economic burden on society. We need to increase the emphasis placed on early readmission of patients with ALF and establish clinical strategies for their management.
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Affiliation(s)
- Xianbin Xu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, China
| | - Kai Gong
- Department of Infectious Diseases, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, 322000, Zhejiang, China
| | - Liang Hong
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, China
| | - Xia Yu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, China
| | - Huilan Tu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, China
| | - Yan Lan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, China
| | - Junjie Yao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, China
| | - Shaoheng Ye
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, China
| | - Haoda Weng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, China
| | - Zhiwei Li
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, China
| | - Yu Shi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, China.
| | - Jifang Sheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, China.
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Limketkai BN, Maas L, Krishna M, Dua A, DeDecker L, Sauk JS, Parian AM. Machine Learning-based Characterization of Longitudinal Health Care Utilization Among Patients With Inflammatory Bowel Diseases. Inflamm Bowel Dis 2024; 30:697-703. [PMID: 37454280 DOI: 10.1093/ibd/izad127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND Inflammatory bowel disease (IBD) is associated with increased health care utilization. Forecasting of high resource utilizers could improve resource allocation. In this study, we aimed to develop machine learning models (1) to cluster patients according to clinical utilization patterns and (2) to predict longitudinal utilization patterns based on readily available baseline clinical characteristics. METHODS We conducted a retrospective study of adults with IBD at 2 academic centers between 2015 and 2021. Outcomes included different clinical encounters, new prescriptions of corticosteroids, and initiation of biologic therapy. Machine learning models were developed to characterize health care utilization. Poisson regression compared frequencies of clinical encounters. RESULTS A total of 1174 IBD patients were followed for more than 5673 12-month observational windows. The clustering method separated patients according to low, medium, and high resource utilizers. In Poisson regression models, compared with low resource utilizers, moderate and high resource utilizers had significantly higher rates of each encounter type. Comparing moderate and high resource utilizers, the latter had greater utilization of each encounter type, except for telephone encounters and biologic therapy initiation. Machine learning models predicted longitudinal health care utilization with 81% to 85% accuracy (area under the receiver operating characteristic curve 0.84-0.90); these were superior to ordinal regression and random choice methods. CONCLUSION Machine learning models were able to cluster individuals according to relative health care resource utilization and to accurately predict longitudinal resource utilization using baseline clinical factors. Integration of such models into the electronic medical records could provide a powerful semiautomated tool to guide patient risk assessment, targeted care coordination, and more efficient resource allocation.
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Affiliation(s)
- Berkeley N Limketkai
- Center for Inflammatory Bowel Diseases, Vatche and Tamar Manoukian Division of Digestive Diseases, UCLA School of Medicine, Los Angeles, CA, USA
| | - Laura Maas
- Division of Gastroenterology and Hepatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mahesh Krishna
- Division of Gastroenterology and Hepatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Anoushka Dua
- Center for Inflammatory Bowel Diseases, Vatche and Tamar Manoukian Division of Digestive Diseases, UCLA School of Medicine, Los Angeles, CA, USA
| | - Lauren DeDecker
- Center for Inflammatory Bowel Diseases, Vatche and Tamar Manoukian Division of Digestive Diseases, UCLA School of Medicine, Los Angeles, CA, USA
| | - Jenny S Sauk
- Center for Inflammatory Bowel Diseases, Vatche and Tamar Manoukian Division of Digestive Diseases, UCLA School of Medicine, Los Angeles, CA, USA
| | - Alyssa M Parian
- Division of Gastroenterology and Hepatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Wigg AJ, Narayana S, Woodman RJ, Adams LA, Wundke R, Chinnaratha MA, Chen B, Jeffrey G, Plummer JL, Sheehan V, Tse E, Morgan J, Huynh D, Milner M, Stewart J, Ahlensteil G, Baig A, Kaambwa B, Muller K, Ramachandran J. A randomized multicenter trial of a chronic disease management intervention for decompensated cirrhosis. The Australian Liver Failure (ALFIE) trial. Hepatology 2024:01515467-990000000-00820. [PMID: 38825975 DOI: 10.1097/hep.0000000000000862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Accepted: 03/01/2024] [Indexed: 06/04/2024]
Abstract
BACKGROUND AND AIMS Improving the care of decompensated cirrhosis is a significant clinical challenge. The primary aim of this trial was to assess the efficacy of a chronic disease management (CDM) model to reduce liver-related emergency admissions (LREA). The secondary aims were to assess model effects on quality-of-care and patient-reported outcomes. APPROACH AND RESULTS The study design was a 2-year, multicenter, randomized controlled study with 1:1 allocation of a CDM model versus usual care. The study setting involved both tertiary and community care. Participants were randomly allocated following a decompensated cirrhosis admission. The intervention was a multifaceted CDM model coordinated by a liver nurse. A total of 147 participants (intervention=75, control=71) were recruited with a median Model for End-Stage Liver Disease score of 19. For the primary outcome, there was no difference in the overall LREA rate for the intervention group versus the control group (incident rate ratio 0.89; 95% CI: 0.53-1.50, p=0.666) or in actuarial survival (HR=1.14; 95% CI: 0.66-1.96, p=0.646). However, there was a reduced risk of LREA due to encephalopathy in the intervention versus control group (HR=1.87; 95% CI: 1.18-2.96, p=0.007). Significant improvement in quality-of-care measures was seen for the performance of bone density (p<0.001), vitamin D testing (p<0.001), and HCC surveillance adherence (p=0.050). For assessable participants (44/74 intervention, 32/71 controls) significant improvements in patient-reported outcomes at 3 months were seen in self-management ability and quality of life as assessed by visual analog scale (p=0.044). CONCLUSIONS This CDM intervention did not reduce overall LREA events and may not be effective in decompensated cirrhosis for this end point.
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Affiliation(s)
- Alan J Wigg
- Hepatology and Liver Transplantation Medicine Unit, Southern Adelaide Local Health Network, Adelaide, Australia
- College of Medicine and Public Health, Flinders University of South Australia, Adelaide, Australia
| | - Sumudu Narayana
- Hepatology and Liver Transplantation Medicine Unit, Southern Adelaide Local Health Network, Adelaide, Australia
| | - Richard J Woodman
- College of Medicine and Public Health, Flinders University of South Australia, Adelaide, Australia
| | - Leon A Adams
- Liver Transplant Unit, Sir Charles Gardiner Hospital, Perth, Australia
- Medical School, University of Western Australia, Perth, Australia
| | - Rachel Wundke
- Hepatology and Liver Transplantation Medicine Unit, Southern Adelaide Local Health Network, Adelaide, Australia
| | - Mohamed A Chinnaratha
- Department of Gastroenterology and Hepatology, Lyell McEwin Hospital, Adelaide, Australia
| | - Bin Chen
- Department of Gastroenterology and Hepatology, Lyell McEwin Hospital, Adelaide, Australia
| | - Gary Jeffrey
- Liver Transplant Unit, Sir Charles Gardiner Hospital, Perth, Australia
- Medical School, University of Western Australia, Perth, Australia
| | - Joan-Lee Plummer
- Medical School, University of Western Australia, Perth, Australia
| | - Vanessa Sheehan
- Medical School, University of Western Australia, Perth, Australia
| | - Edmund Tse
- Department of Gastroenterology and Hepatology, The Royal Adelaide Hospital, Adelaide, Australia
| | - Joanne Morgan
- Department of Gastroenterology and Hepatology, The Royal Adelaide Hospital, Adelaide, Australia
| | - Dep Huynh
- Department of Gastroenterology and Hepatology, The Queen Elizabeth Hospital, Adelaide, Australia
| | - Margery Milner
- Department of Gastroenterology and Hepatology, The Queen Elizabeth Hospital, Adelaide, Australia
| | - Jeffrey Stewart
- Department of Gastroenterology and Hepatology, The Queen Elizabeth Hospital, Adelaide, Australia
| | - Golo Ahlensteil
- Department of Gastroenterology and Hepatology, Blacktown & Mt Druitt Hospitals, Sydney, Australia
- Blacktown Clinical School, Western Sydney University, Sydney, Australia
| | - Asma Baig
- Department of Gastroenterology and Hepatology, Blacktown & Mt Druitt Hospitals, Sydney, Australia
| | - Billingsley Kaambwa
- College of Medicine and Public Health, Flinders University of South Australia, Adelaide, Australia
| | - Kate Muller
- Hepatology and Liver Transplantation Medicine Unit, Southern Adelaide Local Health Network, Adelaide, Australia
- College of Medicine and Public Health, Flinders University of South Australia, Adelaide, Australia
| | - Jeyamani Ramachandran
- Hepatology and Liver Transplantation Medicine Unit, Southern Adelaide Local Health Network, Adelaide, Australia
- College of Medicine and Public Health, Flinders University of South Australia, Adelaide, Australia
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Orman ES, Desai AP, Ghabril MS, Nephew LD, Patidar KR, Holden J, Samala NR, Gawrieh S, Vuppalanchi R, Sozio M, Lacerda M, Vilar-Gomez E, Lammert C, Liangpunsakul S, Crabb D, Masuoka H, Dakhoul L, Pan M, Gao S, Chalasani N. Thirty-Day Readmissions Are Largely Not Preventable in Patients With Cirrhosis. Am J Gastroenterol 2024; 119:287-296. [PMID: 37543729 PMCID: PMC10873127 DOI: 10.14309/ajg.0000000000002455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 07/14/2023] [Indexed: 08/07/2023]
Abstract
INTRODUCTION Hospital readmissions are common in patients with cirrhosis, but there are few studies describing readmission preventability. We aimed to describe the incidence, causes, and risk factors for preventable readmission in this population. METHODS We performed a prospective cohort study of patients with cirrhosis hospitalized at a single center between June 2014 and March 2020 and followed up for 30 days postdischarge. Demographic, clinical, and socioeconomic data, functional status, and quality of life were collected. Readmission preventability was independently and systematically adjudicated by 3 reviewers. Multinomial logistic regression was used to compare those with (i) preventable readmission, (ii) nonpreventable readmission/death, and (iii) no readmission. RESULTS Of 654 patients, 246 (38%) were readmitted, and 29 (12%) were preventable readmissions. Reviewers agreed on preventability for 70% of readmissions. Twenty-two (including 2 with preventable readmission) died. The most common reasons for readmission were hepatic encephalopathy (22%), gastrointestinal bleeding (13%), acute kidney injury (13%), and ascites (6%), and these reasons were similar between preventable and nonpreventable readmissions. Preventable readmission was often related to paracentesis timeliness, diuretic adjustment monitoring, and hepatic encephalopathy treatment. Compared with nonreadmitted patients, preventable readmission was independently associated with racial and ethnic minoritized individuals (odds ratio [OR] 5.80; 95% CI, 1.96-17.13), nonmarried marital status (OR 2.88; 95% CI, 1.18-7.05), and admission in the prior 30 days (OR 3.45; 95% CI, 1.48-8.04). DISCUSSION For patients with cirrhosis, readmission is common, but most are not preventable. Preventable readmissions are often related to ascites and hepatic encephalopathy and are associated with racial and ethnic minorities, nonmarried status, and prior admissions.
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Affiliation(s)
- Eric S. Orman
- Division of Gastroenterology & Hepatology, Indiana University School of Medicine, Indianapolis, IN
| | - Archita P. Desai
- Division of Gastroenterology & Hepatology, Indiana University School of Medicine, Indianapolis, IN
| | - Marwan S. Ghabril
- Division of Gastroenterology & Hepatology, Indiana University School of Medicine, Indianapolis, IN
| | - Lauren D. Nephew
- Division of Gastroenterology & Hepatology, Indiana University School of Medicine, Indianapolis, IN
| | - Kavish R. Patidar
- Section of Gastroenterology & Hepatology, Baylor College of Medicine, Houston, TX
| | - John Holden
- Division of Gastroenterology & Hepatology, Indiana University School of Medicine, Indianapolis, IN
| | - Niharika R. Samala
- Division of Gastroenterology & Hepatology, Indiana University School of Medicine, Indianapolis, IN
| | - Samer Gawrieh
- Division of Gastroenterology & Hepatology, Indiana University School of Medicine, Indianapolis, IN
| | - Raj Vuppalanchi
- Division of Gastroenterology & Hepatology, Indiana University School of Medicine, Indianapolis, IN
| | - Margaret Sozio
- Division of Gastroenterology & Hepatology, Indiana University School of Medicine, Indianapolis, IN
| | - Marco Lacerda
- Division of Gastroenterology & Hepatology, Indiana University School of Medicine, Indianapolis, IN
| | - Eduardo Vilar-Gomez
- Division of Gastroenterology & Hepatology, Indiana University School of Medicine, Indianapolis, IN
| | - Craig Lammert
- Division of Gastroenterology & Hepatology, Indiana University School of Medicine, Indianapolis, IN
| | - Suthat Liangpunsakul
- Division of Gastroenterology & Hepatology, Indiana University School of Medicine, Indianapolis, IN
| | - David Crabb
- Division of Gastroenterology & Hepatology, Indiana University School of Medicine, Indianapolis, IN
| | - Howard Masuoka
- Division of Gastroenterology & Hepatology, Indiana University School of Medicine, Indianapolis, IN
| | - Lara Dakhoul
- Division of Gastroenterology, Hepatology & Nutrition, University of Florida College of Medicine, Gainesville, FL
| | - Minmin Pan
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN
| | - Sujuan Gao
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN
| | - Naga Chalasani
- Division of Gastroenterology & Hepatology, Indiana University School of Medicine, Indianapolis, IN
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Zhang Y, Tan W, Wang X, Zheng X, Huang Y, Li B, Meng Z, Gao Y, Qian Z, Liu F, Lu X, Shang J, Zheng Y, Zhang W, Yin S, Gu W, Wang T, Wei J, Shen Z, Deng G, Zhou Y, Hou Y, Zhang Q, Xiong S, Liu J, Long L, Chen R, Chen J, Jiang X, Luo S, Chen Y, Jiang C, Zhao J, Ji L, Mei X, Li J, Li T, Zheng R, Zhou X, Ren H, Shi Y, Li H. Investigation on the short‐term outcome and prognostic impact of predisposition, and precipitants in inpatients with chronic liver disease from Chinese AcuTe on CHronic LIver FailurE (CATCH‐LIFE) cohorts. PORTAL HYPERTENSION & CIRRHOSIS 2023; 2:115-126. [DOI: 10.1002/poh2.53] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 07/18/2023] [Indexed: 08/03/2024]
Abstract
AbstractAimThe study aimed to investigate the short‐term outcomes of hospitalized patients with chronic liver disease (CLDs) and assess the prognostic impact of predisposition and precipitants, which currently remains unclear.MethodsThe study included 3970 hospitalized patients with CLDs from two prospective longitudinal multicenter studies (NCT02457637 and NCT03641872) conducted in highly endemic hepatitis B virus (HBV) areas. Competing risk analysis was used to evaluate the effect of predispositions, including the etiology and severity of CLDs and precipitants; on sequential 28, 90, and 365‐day liver transplantation (LT)‐free mortality.ResultsAmong all enrolled patients, 76.8% of adverse outcomes (including death and LT) within one year occurred within 90 days. Compared with alcoholic etiology, the association of HBV etiology with poorer outcomes was remarkably on the 28th day (hazard ratio [HR], 1.81; 95% confidence interval [CI], 1.07–3.06; p = 0.026); however, and diminished or became insignificant at 90 days and 365 days. Cirrhosis increased the adjusted risk for 365‐day (HR, 1.50; CI, 1.13–1.99; p = 0.004) LT‐free mortality when compared with noncirrhosis. In patients with cirrhosis, prior decompensation (PD) independently increased the adjusted risk of 365‐day LT‐free mortality by 1.25‐fold (p = 0.021); however, it did not increase the risk for 90‐day mortality. Neither the category nor the number of precipitants influenced the adjusted risk of 28 or 90‐day LT‐free mortality.ConclusionsThe 90‐day outcome should be considered a significant endpoint for evaluating the short‐term prognosis of hospitalized patients with CLD. Predisposing factors, other than etiology, mainly affected the delayed (365‐day) outcome. Timely effective therapy for CLD etiology, especially antiviral treatments for HBV, and post‐discharge long‐term surveillance monitoring in cirrhotic patients undergoing PD are suggested to enhance disease management and reduce mortality.
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Affiliation(s)
- Yan Zhang
- Department of Gastroenterology Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University Shanghai China
- Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases Shanghai China
| | - Wenting Tan
- Department of Infectious Diseases Southwest Hospital, Third Military Medical University (Army Medical University) Chongqing China
| | - Xiaobo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University Beijing China
| | - Xin Zheng
- Department of Infectious Diseases Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan Hubei China
| | - Yan Huang
- Hunan Key Laboratory of Viral Hepatitis Department of Infectious Diseases, Xiangya Hospital, Central South University Changsha Hunan China
| | - Beiling Li
- Department of Infectious Diseases Hepatology Unit, Nanfang Hospital, Southern Medical University Guangzhou Guangdong China
| | - Zhongji Meng
- Department of Infectious Disease Taihe Hospital, Hubei University of Medicine Shiyan Hubei China
| | - Yanhang Gao
- Department of Hepatology The First Hospital of Jilin University Jilin Changchun China
| | - Zhiping Qian
- Department of Liver Intensive Care Unit Shanghai Public Health Clinical Centre, Fudan University Shanghai China
| | - Feng Liu
- Tianjin Institute of Hepatology, Nankai University Second People's Hospital Tianjin China
- Department of Infectious Diseases and Hepatology The Second Hospital of Shandong University Jinan Shandong China
| | - Xiaobo Lu
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University Urumqi Xinjiang China
| | - Jia Shang
- Department of Infectious Diseases Henan Provincial People's Hospital Zhengzhou Henan China
| | - Yubao Zheng
- Deparment of Infectious Diseases The Third Affiliated Hospital of Sun Yat‐sen University Guangzhou City Guangdong China
| | - Weituo Zhang
- Clinical Research Center, Shanghai Jiao Tong University School of Medicine Shanghai China
| | - Shan Yin
- Department of Gastroenterology Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University Shanghai China
- Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases Shanghai China
| | - Wenyi Gu
- Department of Gastroenterology Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University Shanghai China
- Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases Shanghai China
| | - Tongyu Wang
- Department of Gastroenterology Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University Shanghai China
- Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases Shanghai China
| | - Jianyi Wei
- Department of Gastroenterology Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University Shanghai China
- Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases Shanghai China
| | - Zixuan Shen
- Department of Gastroenterology Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University Shanghai China
- Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases Shanghai China
| | - Guohong Deng
- Department of Infectious Diseases Southwest Hospital, Third Military Medical University (Army Medical University) Chongqing China
| | - Yi Zhou
- Department of Infectious Diseases Southwest Hospital, Third Military Medical University (Army Medical University) Chongqing China
| | - Yixin Hou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University Beijing China
| | - Qun Zhang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University Beijing China
| | - Shue Xiong
- Department of Infectious Diseases Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan Hubei China
| | - Jing Liu
- Department of Infectious Diseases Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan Hubei China
| | - Liyuan Long
- Hunan Key Laboratory of Viral Hepatitis Department of Infectious Diseases, Xiangya Hospital, Central South University Changsha Hunan China
| | - Ruochan Chen
- Hunan Key Laboratory of Viral Hepatitis Department of Infectious Diseases, Xiangya Hospital, Central South University Changsha Hunan China
| | - Jinjun Chen
- Department of Infectious Diseases Hepatology Unit, Nanfang Hospital, Southern Medical University Guangzhou Guangdong China
| | - Xiuhua Jiang
- Department of Infectious Diseases Hepatology Unit, Nanfang Hospital, Southern Medical University Guangzhou Guangdong China
| | - Sen Luo
- Department of Infectious Disease Taihe Hospital, Hubei University of Medicine Shiyan Hubei China
| | - Yuanyuan Chen
- Department of Infectious Disease Taihe Hospital, Hubei University of Medicine Shiyan Hubei China
| | - Chang Jiang
- Department of Hepatology The First Hospital of Jilin University Jilin Changchun China
| | - Jinming Zhao
- Department of Hepatology The First Hospital of Jilin University Jilin Changchun China
| | - Liujuan Ji
- Department of Liver Intensive Care Unit Shanghai Public Health Clinical Centre, Fudan University Shanghai China
| | - Xue Mei
- Department of Liver Intensive Care Unit Shanghai Public Health Clinical Centre, Fudan University Shanghai China
| | - Jing Li
- Department of Infectious Diseases and Hepatology The Second Hospital of Shandong University Jinan Shandong China
| | - Tao Li
- Department of Infectious Diseases and Hepatology The Second Hospital of Shandong University Jinan Shandong China
| | - Rongjiong Zheng
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University Urumqi Xinjiang China
| | - Xinyi Zhou
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University Urumqi Xinjiang China
| | - Haotang Ren
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of School of Medicine, Zhejiang University Hangzhou Zhejiang China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease Hangzhou Zhejiang China
- National Clinical Research Center of Infectious Disease Hangzhou Zhejiang China
| | - Yu Shi
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of School of Medicine, Zhejiang University Hangzhou Zhejiang China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease Hangzhou Zhejiang China
- National Clinical Research Center of Infectious Disease Hangzhou Zhejiang China
| | - Hai Li
- Department of Gastroenterology Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University Shanghai China
- Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases Shanghai China
- Department of Gastroenterology, Punan Campus, Ren Ji Hospital, School of Medicine Shanghai Jiao Tong University Shanghai China
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Pusateri A, Litzenberg K, Griffiths C, Hayes C, Gnyawali B, Manious M, Kelly SG, Conteh LF, Jalil S, Nagaraja HN, Mumtaz K. Randomized intervention and outpatient follow-up lowers 30-d readmissions for patients with hepatic encephalopathy, decompensated cirrhosis. World J Hepatol 2023; 15:826-840. [PMID: 37397939 PMCID: PMC10308285 DOI: 10.4254/wjh.v15.i6.826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 03/23/2023] [Accepted: 04/14/2023] [Indexed: 06/25/2023] Open
Abstract
BACKGROUND We previously reported national 30-d readmission rates of 27% in patients with decompensated cirrhosis (DC).
AIM To study prospective interventions to reduce early readmissions in DC at our tertiary center.
METHODS Adults with DC admitted July 2019 to December 2020 were enrolled and randomized into the intervention (INT) or standard of care (SOC) arms. Weekly phone calls for a month were completed. In the INT arm, case managers ensured outpatient follow-up, paracentesis, and medication compliance. Thirty-day readmission rates and reasons were compared.
RESULTS Calculated sample size was not achieved due to coronavirus disease 2019; 240 patients were randomized into INT and SOC arms. 30-d readmission rate was 33.75%, 35.83% in the INT vs 31.67% in the SOC arm (P = 0.59). The top reason for 30-d readmission was hepatic encephalopathy (HE, 32.10%). There was a lower rate of 30-d readmissions for HE in the INT (21%) vs SOC arm (45%, P = 0.03). There were fewer 30-d readmissions in patients who attended early outpatient follow-up (n = 17, 23.61% vs n = 55, 76.39%, P = 0.04).
CONCLUSION Our 30-d readmission rate was higher than the national rate but reduced by interventions in patients with DC with HE and early outpatient follow-up. Development of interventions to reduce early readmission in patients with DC is needed.
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Affiliation(s)
- Antoinette Pusateri
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH 43210, United States
| | - Kevin Litzenberg
- Division of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH 43210, United States
| | - Claire Griffiths
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH 43210, United States
| | - Caitlin Hayes
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH 43210, United States
| | - Bipul Gnyawali
- The Ohio State University College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH 43210, United States
| | - Michelle Manious
- Division of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH 43210, United States
| | - Sean G Kelly
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH 43210, United States
| | - Lanla F Conteh
- Division of Gastroenterology and Hepatology, The Ohio State Wexner Medical Center, Columbus, OH 43210, United States
| | - Sajid Jalil
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH 43210, United States
| | - Haikady N Nagaraja
- Division of Biostatistics, The Ohio State University, Columbus, OH 43210, United States
| | - Khalid Mumtaz
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH 43210, United States
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Pompili E, Baldassarre M, Zaccherini G, Tufoni M, Iannone G, Pratelli D, Palmese F, Vizioli L, Faggiano C, Bedogni G, Domenicali M, Caraceni P. Low haemoglobin level predicts early hospital readmission in patients with cirrhosis and acute decompensation. JHEP Rep 2023; 5:100698. [PMID: 37025944 PMCID: PMC10070139 DOI: 10.1016/j.jhepr.2023.100698] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 01/24/2023] [Accepted: 01/30/2023] [Indexed: 04/08/2023] Open
Abstract
Background & Aims Patients with decompensated cirrhosis present frequent hospitalisations with a relevant clinical and socio-economic impact. This study aims to characterise unscheduled readmissions up to 1-year follow-up and identify predictors of 30-day readmission after an index hospitalisation for acute decompensation (AD). Methods We performed a secondary analysis of a prospectively collected cohort of patients admitted for AD. Laboratory and clinical data at admission and at discharge were collected. Timing and causes of unscheduled readmissions and mortality were recorded up to 1 year. Results A total of 329 patients with AD were included in the analysis. Acute-on-chronic liver failure was diagnosed in 19% of patients at admission or developed in an additional 9% of patients during the index hospitalisation. During the 1-year follow-up, 182 patients (55%) were rehospitalised and 98 (30%) more than once. The most frequent causes of readmission were hepatic encephalopathy (36%), ascites (22%), and infection (21%). Cumulative incidence of readmission was 20% at 30 days, 39% at 90 days, and 63% at 1 year. Fifty-four patients were readmitted for emergent liver-related causes within 30 days. Early readmission was associated with a higher 1-year mortality (47 vs. 32%, p = 0.037). Multivariable Cox regression analysis showed that haemoglobin (Hb) ≤8.7 g/dl (hazard ratio 2.63 [95% CI 1.38-5.02], p = 0.003) and model for end-stage liver disease-sodium score (MELD-Na) >16 at discharge (hazard ratio 2.23 [95% CI 1.27-3.93], p = 0.005), were independent predictors of early readmission. In patients with MELD-Na >16 at discharge, the presence of Hb ≤8.7 g/dl doubles the risk of early rehospitalisation (44% vs. 22%, p = 0.02). Conclusion Besides MELD-Na, a low Hb level (Hb ≤8.7 g/dl) at discharge emerged as a new risk factor for early readmission, contributing to identification of patients who require closer surveillance after discharge. Impact and Implications Patients with decompensated cirrhosis face frequent hospitalisations. In the present study, type and causes of readmissions were analysed during 1-year follow-up in patients discharged after the index hospitalisation for an acute decompensation of the disease. Early (30-day) liver-related readmission was associated with higher 1-year mortality. The model for end-stage liver disease-sodium score and low haemoglobin at discharge were identified as independent risk factors for early readmissions. Haemoglobin emerged as a new easy-to-use parameter associated with early readmission warranting further investigation.
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Affiliation(s)
- Enrico Pompili
- Department of Medical and Surgical Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy
| | - Maurizio Baldassarre
- Department of Medical and Surgical Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy
- Centre for Applied Biomedical Research (CRBA), Alma Mater Studiorum - University of Bologna, Bologna, Italy
| | - Giacomo Zaccherini
- Department of Medical and Surgical Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy
| | - Manuel Tufoni
- Unit of Semeiotics, Liver and Alcohol-related Diseases, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Giulia Iannone
- Department of Medical and Surgical Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy
| | - Dario Pratelli
- Department of Medical and Surgical Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy
| | - Francesco Palmese
- Department of Medical and Surgical Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy
- Department of Primary Health Care, Internal Medicine Unit addressed to Frailty and Aging, “Santa Maria delle Croci” Ravenna Hospital, AUSL Romagna, Ravenna, Italy
| | - Luca Vizioli
- Internal Medicine Unit for the Treatment of Severe Organ Failure, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Chiara Faggiano
- Division of Internal Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Giorgio Bedogni
- Department of Medical and Surgical Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy
- Department of Primary Health Care, Internal Medicine Unit addressed to Frailty and Aging, “Santa Maria delle Croci” Ravenna Hospital, AUSL Romagna, Ravenna, Italy
| | - Marco Domenicali
- Department of Medical and Surgical Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy
- Department of Primary Health Care, Internal Medicine Unit addressed to Frailty and Aging, “Santa Maria delle Croci” Ravenna Hospital, AUSL Romagna, Ravenna, Italy
- Department of Medical and Surgical Sciences, Alma Mater Studiorum - University of Bologna, Department of Primary Health Care, S. Maria delle Croci Hospital, AUSL Romagna, Ravenna, Italy
| | - Paolo Caraceni
- Department of Medical and Surgical Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy
- Unit of Semeiotics, Liver and Alcohol-related Diseases, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
- Corresponding authors. Addresses: Department of Medical and Surgical Sciences, Alma Mater Studiorum - University of Bologna, Unit of Semeiotics, Liver and Alcohol-related diseases, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy. Tel.: +39-051-214-2919; fax: +39-051-214-2930.
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Orman ES, Ghabril MS, Desai AP, Nephew L, Patidar KR, Gao S, Xu C, Chalasani N. Patient-Reported Outcome Measures Modestly Enhance Prediction of Readmission in Patients with Cirrhosis. Clin Gastroenterol Hepatol 2022; 20:e1426-e1437. [PMID: 34311111 PMCID: PMC8784569 DOI: 10.1016/j.cgh.2021.07.032] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 06/29/2021] [Accepted: 07/19/2021] [Indexed: 12/23/2022]
Abstract
BACKGROUND & AIMS Patients with cirrhosis have high rates of hospital readmission, but prediction models are suboptimal and have not included important patient-reported outcome measures (PROMs). In a large prospective cohort, we examined the impact of PROMs on prediction of 30-day readmissions. METHODS We performed a prospective cohort study of adults with cirrhosis admitted to a tertiary center between June 2014 and March 2020. We collected clinical information, socioeconomic status, and PROMs addressing functional status and quality of life. We used hierarchical competing risk time-to-event analysis to examine the impact of PROMs on readmission prediction. RESULTS A total of 654 patients were discharged alive, and 247 (38%) were readmitted within 30 days. Readmission was independently associated with cerebrovascular disease, ascites, prior hospital admission, admission via the emergency department, lower albumin, higher Model for End-Stage Liver Disease, discharge with public transportation, and impaired basic activities of daily living and quality-of-life activity domain. Reduced readmission was associated with cancer, admission for infection, children at home, and impaired emotional function. Compared with a model including only clinical variables, addition of functional status and quality-of-life variables improved the area under the receiver-operating characteristic curve from 0.72 to 0.73 and 0.75, with net reclassification indices of 0.22 and 0.18, respectively. Socioeconomic variables did not significantly improve prediction compared with clinical variables alone. Compared with a model using electronically available variables only, no models improved prediction when examined with integrated discrimination improvement. CONCLUSIONS PROMs may marginally add to the prediction of 30-day readmissions for patients with cirrhosis. Poor social support and disability are associated with readmissions and may be high-yield targets for future interventions.
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Affiliation(s)
- Eric S Orman
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, Indiana.
| | - Marwan S Ghabril
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, Indiana
| | - Archita P Desai
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, Indiana
| | - Lauren Nephew
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, Indiana
| | - Kavish R Patidar
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, Indiana
| | - Sujuan Gao
- Department of Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana
| | - Chenjia Xu
- Department of Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana
| | - Naga Chalasani
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, Indiana
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Sobotka LA, Mumtaz K, Hinton A, Conteh LF. The time to advocate for influenza vaccines in patients with cirrhosis is now. Clin Res Hepatol Gastroenterol 2022; 46:101838. [PMID: 34813944 DOI: 10.1016/j.clinre.2021.101838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 10/11/2021] [Accepted: 11/08/2021] [Indexed: 02/04/2023]
Abstract
BACKGROUND AND AIM The effect of an influenza infection on patients with cirrhosis remains unclear. This study aimed to compare the rate of influenza hospitalizations, influenza associated complications, and healthcare outcomes in patients with and without cirrhosis. METHODS Utilizing the Nationwide Inpatient Sample between 2005 and 2013, hospitalized patients with a diagnosis of influenza were identified. Patients with cirrhosis were classified as compensated or decompensated based on the Baveno criteria. Multivariable analyses were performed to evaluate complications of influenza, inpatient mortality and healthcare utilization including length of stay and cost of admission. RESULTS In total, 236,513 patients with a diagnosis of influenza were admitted during the study period, including 1,553 (0.66%) with cirrhosis. Of those with cirrhosis, 1,176 (75.7%) were compensated and 377 (24.3%) were decompensated. On multivariable analysis, influenza patients with cirrhosis had a higher total cost of admission [$1,030; CI: $710-$1,351] compared to the general population. Influenza patients with decompensated cirrhosis had a longer length of stay [1.92 days; CI:1.63-2.21], higher total cost of admission [$5,005; CI: $4,459-$5,551] and increased rates of influenza complications [OR: 2.56; CI:1.32-4.93] compared to patients with compensated cirrhosis. CONCLUSIONS Patients with cirrhosis have increased healthcare utilization when admitted with influenza compared to the general population. Providers must advocate for patients with cirrhosis to obtain the influenza vaccine.
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Affiliation(s)
- Lindsay A Sobotka
- Gastroenterology, Hepatology and Nutrition, The Ohio State Wexner Medical Center, Columbus Ohio, United States of America 43210
| | - Khalid Mumtaz
- Gastroenterology, Hepatology and Nutrition, The Ohio State Wexner Medical Center, Columbus Ohio, United States of America 43210
| | - Alice Hinton
- Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, Ohio, United States of America 43210
| | - Lanla F Conteh
- Gastroenterology, Hepatology and Nutrition, The Ohio State Wexner Medical Center, Columbus Ohio, United States of America 43210.
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Peery AF, Crockett SD, Murphy CC, Jensen ET, Kim HP, Egberg MD, Lund JL, Moon AM, Pate V, Barnes EL, Schlusser CL, Baron TH, Shaheen NJ, Sandler RS. Burden and Cost of Gastrointestinal, Liver, and Pancreatic Diseases in the United States: Update 2021. Gastroenterology 2022; 162:621-644. [PMID: 34678215 PMCID: PMC10756322 DOI: 10.1053/j.gastro.2021.10.017] [Citation(s) in RCA: 283] [Impact Index Per Article: 141.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 09/20/2021] [Accepted: 10/15/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS Gastrointestinal diseases account for considerable health care use and expenditures. We estimated the annual burden, costs, and research funding associated with gastrointestinal, liver, and pancreatic diseases in the United States. METHODS We generated estimates using data from the National Ambulatory Medical Care Survey; National Hospital Ambulatory Medical Care Survey; Nationwide Emergency Department Sample; National Inpatient Sample; Kids' Inpatient Database; Nationwide Readmissions Database; Surveillance, Epidemiology, and End Results program; National Vital Statistics System; Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research; MarketScan Commercial Claims and Encounters data; MarketScan Medicare Supplemental data; United Network for Organ Sharing registry; Medical Expenditure Panel Survey; and National Institutes of Health (NIH). RESULTS Gastrointestinal health care expenditures totaled $119.6 billion in 2018. Annually, there were more than 36.8 million ambulatory visits for gastrointestinal symptoms and 43.4 million ambulatory visits with a primary gastrointestinal diagnosis. Hospitalizations for a principal gastrointestinal diagnosis accounted for more than 3.8 million admissions, with 403,699 readmissions. A total of 22.2 million gastrointestinal endoscopies were performed, and 284,844 new gastrointestinal cancers were diagnosed. Gastrointestinal diseases and cancers caused 255,407 deaths. The NIH supported $3.1 billion (7.5% of the NIH budget) for gastrointestinal research in 2020. CONCLUSIONS Gastrointestinal diseases are responsible for millions of health care encounters and hundreds of thousands of deaths that annually costs billions of dollars in the United States. To reduce the high burden of gastrointestinal diseases, focused clinical and public health efforts, supported by additional research funding, are warranted.
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Affiliation(s)
- Anne F Peery
- Center for Gastrointestinal Biology and Disease, University of North Carolina School of Medicine, Chapel Hill, North Carolina.
| | - Seth D Crockett
- Center for Gastrointestinal Biology and Disease, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Caitlin C Murphy
- University of Texas Health Science Center at Houston, Houston, Texas
| | | | - Hannah P Kim
- Center for Gastrointestinal Biology and Disease, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Matthew D Egberg
- Center for Gastrointestinal Biology and Disease, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Jennifer L Lund
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Andrew M Moon
- Center for Gastrointestinal Biology and Disease, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Virginia Pate
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Edward L Barnes
- Center for Gastrointestinal Biology and Disease, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Courtney L Schlusser
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Todd H Baron
- Center for Gastrointestinal Biology and Disease, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Nicholas J Shaheen
- Center for Gastrointestinal Biology and Disease, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Robert S Sandler
- Center for Gastrointestinal Biology and Disease, University of North Carolina School of Medicine, Chapel Hill, North Carolina
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Atteberry P, Biederman B, Jesudian A, Lucero C, Brown RS, Verna E, Sundaram V, Fortune B, Rosenblatt R. Mortality, sepsis, and organ failure in hospitalized patients with cirrhosis vary by type of infection. J Gastroenterol Hepatol 2021; 36:3363-3370. [PMID: 34293211 DOI: 10.1111/jgh.15633] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 07/11/2021] [Accepted: 07/16/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND AIM Infection is associated with substantial morbidity and mortality in cirrhosis, but presumably, not all infections carry the same risk of mortality. We compared outcomes of different sites of infection in a nationally representative sample of inpatients with cirrhosis. METHODS We queried the Nationwide Readmissions Database for patients with cirrhosis from 2011 to 2014. Cirrhosis and infection diagnoses were identified by previously used algorithms of ICD-9 codes. The following infections were compared: urinary tract infection (UTI), pneumonia, cellulitis, spontaneous bacterial peritonitis (SBP), and Clostridium difficile infection (CDI). The primary outcome was inpatient mortality. Secondary outcomes included sepsis, any organ failure, multiple organ failures, and 30-day readmission. Outcomes were analyzed using logistic regression and included a priori covariates. RESULTS A total of 1 798 830 weighted index admissions were identified. Infection was present in 29.2% overall-including UTI (13.7%), pneumonia (8.9%), cellulitis (5.2%), CDI (2.8%), and SBP (2.0%). Mortality was significantly higher in pneumonia (19.6%), SBP (18.6%), and CDI (17.4%) compared with cellulitis (7.6%) and UTI (11.8%). Sepsis, any, and multiple organ failures were most commonly seen in pneumonia, SBP, and CDI. Multivariable analysis demonstrated that pneumonia had the highest associated mortality (odds ratio [OR] 2.73, confidence interval [CI] 2.68-2.80) and multiple organ failures (OR 3.59, CI 3.50-3.68). Significantly increased 30-day readmission was seen only with SBP (24.9%). CONCLUSIONS Outcomes of inpatients with cirrhosis vary significantly depending on the type of infection. The severity and epidemiology of infection in cirrhosis appears to be shifting with pneumonia, not SBP, having the highest prevalence of multiple organ failures and inpatient mortality.
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Affiliation(s)
- Preston Atteberry
- New York Presbyterian Hospital-Weill Cornell Medical Center, New York, New York, USA
| | - Benjamin Biederman
- New York Presbyterian Hospital-Weill Cornell Medical Center, New York, New York, USA
| | - Arun Jesudian
- Weill Cornell Medicine, Division of Gastroenterology and Hepatology, New York Presbyterian Hospital-Weill Cornell Medical Center, New York, New York, USA
| | - Catherine Lucero
- Weill Cornell Medicine, Division of Gastroenterology and Hepatology, New York Presbyterian Hospital-Weill Cornell Medical Center, New York, New York, USA
| | - Robert S Brown
- Weill Cornell Medicine, Division of Gastroenterology and Hepatology, New York Presbyterian Hospital-Weill Cornell Medical Center, New York, New York, USA
| | - Elizabeth Verna
- Center for Liver Disease and Transplantation, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA
| | - Vinay Sundaram
- Division of Digestive and Liver Diseases, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Brett Fortune
- Weill Cornell Medicine, Division of Gastroenterology and Hepatology, New York Presbyterian Hospital-Weill Cornell Medical Center, New York, New York, USA
| | - Russell Rosenblatt
- Weill Cornell Medicine, Division of Gastroenterology and Hepatology, New York Presbyterian Hospital-Weill Cornell Medical Center, New York, New York, USA
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Gajendran M, Umapathy C, Perisetti A, Loganathan P, Dwivedi A, Alvarado LA, Zuckerman MJ, Goyal H, Elhanafi S. Nationwide analysis of incidence and predictors of 30-day readmissions in patients with decompensated cirrhosis. Frontline Gastroenterol 2021; 13:295-302. [PMID: 35722599 PMCID: PMC9186038 DOI: 10.1136/flgastro-2021-101850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 06/08/2021] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND AND OBJECTIVE Cirrhosis is the number one cause of non-cancer deaths among gastrointestinal diseases and is responsible for significant morbidity and healthcare utilisation. The objectives were to measure the 30-day readmissions rate following index hospitalisation, to determine the predictors of readmission, and to estimate the cost of 30-day readmission in patients with decompensated cirrhosis. METHODS We performed a retrospective cohort study of patients with decompensated cirrhosis using 2014 Nationwide Readmission Database from January to November. Decompensated cirrhosis was identified based on the presence of at least one of the following: ascites, hepatic encephalopathy, variceal bleeding, spontaneous bacterial peritonitis and hepatorenal syndrome. We excluded patients less than 18 years of age, pregnant patients, patients with missing length of stay data, and those who died during the index admission. RESULTS Among 57 305 unique patients with decompensated cirrhosis, the 30-day readmission rate was 23.2%. The top three predictors of 30-day readmission were leaving against medical advice (AMA), ascites and acute kidney injury, which increased the risk of readmission by 47%, 22% and 20%, respectively. Index admission for variceal bleeding was associated with a lower 30-day readmission rate by 18%. The estimated total cost associated with 30-day readmission in our study population was US$234.4 million. CONCLUSION In a nationwide population study, decompensated cirrhosis is associated with a 30-day readmission rate of 23%. Leaving AMA, ascites and acute kidney injury are positively associated with readmission. Targeted interventions and quality improvement efforts should be directed toward these potential risk factors to reduce readmissions.
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Affiliation(s)
- Mahesh Gajendran
- Paul L Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, USA,Gastroenterology, UT Health San Antonio Long School of Medicine, San Antonio, Texas, USA
| | - Chandraprakash Umapathy
- Gastroenterology and Nutrition, UT Health San Antonio Long School of Medicine, San Antonio, Texas, USA
| | - Abhilash Perisetti
- Department of Gastroenterology and Hepatology, UAMS, Little Rock, Arkansas, USA
| | - Priyadarshini Loganathan
- Department of Medicine, Texas Tech University Health Sciences Center El Paso Paul L Foster School of Medicine, El Paso, Texas, USA
| | - Alok Dwivedi
- Biostatistics and Epidemiology, Texas Tech University Health Sciences Center El Paso Paul L Foster School of Medicine, El Paso, Texas, USA
| | - Luis A Alvarado
- Biostatistics and Epidemiology, Texas Tech University Health Sciences Center El Paso Paul L Foster School of Medicine, El Paso, Texas, USA
| | - Marc J Zuckerman
- Paul L Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, USA
| | - Hemant Goyal
- Gastroenterology, Wright Center for Graduate Medical Education, Scranton, Pennsylvania, USA
| | - Sherif Elhanafi
- Paul L Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, USA
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Abstract
Purpose of review This review provides an overview of the current state of research around improving healthcare delivery for patients with cirrhosis in the outpatient, inpatient, and transitional care settings. Recent findings Recent studies have broadly employed changes to the model of care delivery, team composition, and technology to improve cirrhosis care. In the outpatient setting, approaches have included engaging caregivers, patient navigators, and non-physicians and using virtual care, smartphone applications, and wearables. Inpatient care approaches have focused on the role of interdisciplinary teams, education interventions, and changes to the medical record system, while post-discharge interventions have included day hospitals and care coordinator interventions. This review also describes the Veterans Health Administration’s novel, population-level approach to delivery of cirrhosis care, and addressed how the pandemic has impacted the delivery of cirrhosis care. Summary Comprehensive, evidence-based approaches to delivering high-quality cirrhosis care continue to evolve to meet the needs of a growing population in an ever-changing healthcare environment.
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Bariatric Surgery in Patients with Cirrhosis: Careful Patient and Surgery-Type Selection Is Key to Improving Outcomes. Obes Surg 2021; 30:3444-3452. [PMID: 32285332 DOI: 10.1007/s11695-020-04583-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
PURPOSE Previous reports suggest an increased mortality in cirrhotic patients undergoing bariatric surgery (BS). With advancements in management of BS, we aim to study the trends, outcomes, and their predictors in patients with cirrhosis undergoing BS. MATERIALS AND METHODS A retrospective study was performed using the National Database from 2008 to 2013. Outcomes of BS in patients with cirrhosis were studied. In-hospital mortality, length of stay, and cost of care were compared between patients with no cirrhosis (NC), compensated cirrhosis (CC), and decompensated cirrhosis (DC). Multivariable logistic regression analysis was performed to study the predictors of mortality. RESULTS Of the 558,017 admissions of patients who underwent BS during the study period, 3086 (0.55%) had CC and 103 (0.02%) had DC. An upward trend of vertical sleeve gastrectomy (VSG) utilization was seen during the study period. On multivariate analysis, mortality in CC was comparable with those in NC (aOR 1.88; CI 0.65-5.46); however, it was higher in DC (aOR 83.8; CI 19.3-363.8). Other predictors of mortality were older age (aOR 1.06; CI 1.04-1.08), male (aOR 2.59; CI 1.76-3.81), Medicare insurance (aOR 1.93; CI 1.24-3.01), lower income (aORs 0.44 to 0.55 for 2nd to 4th income quartile vs. 1st quartile), > 3 Elixhauser Comorbidity Index (aOR 5.30; CI 3.45-8.15), undergoing Roux-en-Y gastric bypass as opposed to VSG (aOR 3.90; CI 1.79-8.48), and centers performing < 50 BS per year (aOR 5.25; CI 3.38-8.15). Length of stay and hospital cost were also significantly higher in patients with cirrhosis as compared with those with NC. CONCLUSION Patients with compensated cirrhosis can be considered for bariatric surgery. However, careful selection of patients, procedure type, and volume of surgical center is integral in improving outcomes and healthcare utilization in patients with cirrhosis undergoing BS.
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Brahmania M, Wiskar K, Walley KR, Celi LA, Rush B. Lower household income is associated with an increased risk of hospital readmission in patients with decompensated cirrhosis. J Gastroenterol Hepatol 2021; 36:1088-1094. [PMID: 32562577 PMCID: PMC8063220 DOI: 10.1111/jgh.15153] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 06/01/2020] [Accepted: 06/08/2020] [Indexed: 12/31/2022]
Abstract
BACKGROUND AND AIM The impact of household income, a surrogate of socioeconomic status, on hospital readmission rates for patients with decompensated cirrhosis has not been well characterized. METHODS The Nationwide Readmission Database from 2012 to 2014 was used to study the association of lower median household income on 30-, 90-, and 180-day hospital readmission rates for patients with decompensated cirrhosis. RESULTS From the 42 679 001 hospital admissions contained in the sample, there were 82 598 patients with decompensated cirrhosis who survived a hospital admission in the first 6 months of the year. During a uniform 6-month follow-up period, 25 914 (31.4%), 39 928 (48.3%), and 47 496 (57.5%) patients were readmitted at 30, 90, and 180 days, respectively. After controlling for demographic and clinical confounders, patients residing in the three lowest income quartiles were significantly more likely to be readmitted at 30 days than those in the fourth quartile (first quartile, odds ratio [OR] 1.32 [95% confidence interval, CI, 1.17-1.47, P < 0.01]; second quartile, OR 1.25 [95% CI 1.13-1.38, P < 0.01]; and third quartile, OR 1.08 [95% CI 0.97-1.20, P = 0.07]). The association between lower socioeconomic status and the higher risk of readmissions persisted at 90 days (first quartile, OR 1.21 [95% CI 1.14-1.30, P < 0.01]) and 180 days (first quartile, OR 1.32 [95% CI 1.20-1.44, P < 0.01]). CONCLUSION Patients with decompensated cirrhosis residing in the lowest income quartile had a 32% higher odds of hospital readmissions at 30, 90, and 180 days compared with those in the highest income quartile.
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Affiliation(s)
- Mayur Brahmania
- Department of Medicine, Division of Gastroenterology, London Health Sciences Center, Western University, London, Ontario
| | - Katie Wiskar
- Department of Medicine, Division of General Internal Medicine, University of British Columbia, Vancouver, British Columbia
| | - Keith R Walley
- Department of Medicine, Division of Critical Care Medicine, St. Paul’s Hospital, University of British Columbia, Vancouver, British Columbia,,Center for Heart Lung Innovation (HLI), University of British Columbia, Vancouver, British Columbia
| | - Leo A Celi
- Department of Medicine, Division of Critical Care Medicine, Beth Israel Deaconess Medical Center, Harvard University, Boston, Massachusetts, USA
| | - Barret Rush
- Department of Internal Medicine, Division of Critical Care Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
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16
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Khan A, Maheshwari S, Gupta K, Naseem K, Chowdry M, Singh S. Rate, reasons, predictors, and burden of readmissions after transjugular intrahepatic portosystemic shunt placement. J Gastroenterol Hepatol 2021; 36:775-781. [PMID: 32710679 PMCID: PMC8385676 DOI: 10.1111/jgh.15194] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 06/22/2020] [Accepted: 07/18/2020] [Indexed: 12/20/2022]
Abstract
BACKGROUND AND AIM Nationwide data on readmissions after the transjugular intrahepatic portosystemic shunt (TIPS) procedure are lacking. We aimed to investigate the 30-day readmission rate after TIPS procedure, reasons, and predictors for readmissions and its impact on resource utilization and mortality in the USA. METHODS We identified all adults who underwent an inpatient TIPS procedure between 2010 and 2014 using the National Readmission Database. Outcomes included all-cause 30-day readmission rate, reasons and predictors of readmissions, mortality rate, and mean hospitalization charges. RESULTS Out of a total of 31 230 hospitalizations with TIPS procedure, 28 021 patients met the study criteria and were finally included. The mean age of patients was 56.90 years, and 63.84% were men. All-cause 30-day readmission rate was 27.81%. Hepatic encephalopathy with or without coma was the most common reason for readmissions in at least 36.43% patients. The in-hospital mortality for index hospitalization and 30-day readmission was 10.69% and 5.85%, respectively. The mean hospitalization charges for index hospitalization and readmissions were $153 357 and $45 751, respectively. Advanced age, Medicaid insurance, higher Charlson comorbidy index, ascites as indication of TIPS, and nonspecific or hepatitis C cirrhosis etiologies for cirrhosis were found to be independent predictors of 30-day readmissions after a TIPS procedure. CONCLUSIONS Our study found a high rate of readmission for patients undergoing TIPS procedure, and the majority of these readmissions were related to hepatic encephalopathy. Further studies highlighting areas for improvement, particularly for patient selection and post-discharge care, are needed to reduce readmissions.
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Affiliation(s)
- Ahmad Khan
- Department of Medicine, West Virginia University Health Sciences Center Charleston Division, Charleston, West Virginia
| | - Sanjay Maheshwari
- Department of Medicine, Maimonides Medical Center, New York, New York
| | - Kamesh Gupta
- Department of Medicine, Baystate Medical Center, Springfield, Massachusetts, USA
| | - Khadija Naseem
- Department of Medicine, Charleston Area Medical Center, Charleston, West Virginia
| | - Monica Chowdry
- Department of Medicine, West Virginia University Health Sciences Center Charleston Division, Charleston, West Virginia
| | - Shailendra Singh
- Charleston Gastroenterology Associates, Charleston, West Virginia
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17
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Mumtaz K, Lee-Allen J, Porter K, Kelly S, Hanje J, Conteh LF, Michaels AJ, El-Hinnawi A, Washburn K, Black SM, Abougergi MS. Thirty-day readmission rates, trends and its impact on liver transplantation recipients: a national analysis. Sci Rep 2020; 10:19254. [PMID: 33159123 PMCID: PMC7648628 DOI: 10.1038/s41598-020-76396-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Accepted: 09/28/2020] [Indexed: 12/17/2022] Open
Abstract
Reduction of early hospital readmissions is a declared goal in the United States economic and quality improvement agenda. A retrospective study was performed using the Nationwide Readmissions Database from 2010 to 2014. Our primary aim was to study the rate of early readmissions and its predictors in liver transplant recipients (LTRs). Our secondary aims were to determine the trends of LT, reasons for readmission, costs and predictors of calendar year mortality. Multivariable logistic regression and Cox proportional hazards models were utilized. The 30-day readmission rate was 30.6% among a total of 25,054 LTRs. Trends of LT were observed to be increased in patients > 65 years (11.7-17.8%, p < 0.001) and decreased in 40-64 years (78.0-73.5%, p = 0.001) during study period. The majority of 30-day readmissions were due to post transplant complications, with packed red blood cell transfusions being the most common intervention during readmission. Medicaid or Medicare insurance, surgery at low and medium volume centers, infections, hemodialysis, liver biopsy, and length of stay > 10 days were the predictors of 30-day readmission. Moreover, number of early readmission, age > 64 years, non-alcoholic cirrhosis, and length of stay > 10 days were significant predictor of calendar year mortality in LTRs. Approximately one third of patients require early admission after LT. Early readmission not only increases burden on healthcare, but is also associated with calendar year mortality. Strategies should be implemented to reduce readmission in patients with high risk of readmission identified in our study.
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Affiliation(s)
- Khalid Mumtaz
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, 395 West 12th Ave., 3rd Floor, Columbus, OH, 43210, USA.
- Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
| | - Jannel Lee-Allen
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, 395 West 12th Ave., 3rd Floor, Columbus, OH, 43210, USA
| | - Kyle Porter
- Center for Biostatistics, Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | - Sean Kelly
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, 395 West 12th Ave., 3rd Floor, Columbus, OH, 43210, USA
- Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - James Hanje
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, 395 West 12th Ave., 3rd Floor, Columbus, OH, 43210, USA
- Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Lanla F Conteh
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, 395 West 12th Ave., 3rd Floor, Columbus, OH, 43210, USA
- Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Anthony J Michaels
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, 395 West 12th Ave., 3rd Floor, Columbus, OH, 43210, USA
- Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Ashraf El-Hinnawi
- Division of Transplantation, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, USA
| | - Ken Washburn
- Division of Transplantation, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, USA
| | - Sylvester M Black
- Division of Transplantation, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, USA
| | - Marwan S Abougergi
- Division of Gastroenterology, Department of Internal Medicine, University of South Carolina, Columbia, SC, USA
- Catalyst Medical Consulting, Simpsonville, USA
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18
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Affiliation(s)
- Meena B Bansal
- Icahn School of Medicine at Mount Sinai, New York, New York.
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19
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Bajaj JS, Acharya C, Sikaroodi M, Gillevet PM, Thacker LR. Cost-effectiveness of integrating gut microbiota analysis into hospitalisation prediction in cirrhosis. GASTROHEP 2020; 2:79-86. [PMID: 33071650 PMCID: PMC7567123 DOI: 10.1002/ygh2.390] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Admissions in cirrhosis are expensive and often unpredictable based on purely clinical variables. Admissions could be related to complications associated with gut microbial changes, which can improve prognostication. However, the cost-effectiveness is unclear. AIMS Determine cost-effectiveness of adding gut microbiota analysis to clinical parameters in prediction and subsequent reduction of admissions in cirrhosis. METHODS Using a Markov model of 1000 cirrhosis patients over 90 days, we modeled microbiota testing using 16srRNA ($250/sample), low-depth ($350/sample) and high-depth ($650/sample) metagenomics added to standard-of-care (SOC) for prevention of admissions using standard outcome costs and rates of development. We generated quality of life years (QALY) and Incremental cost-effectiveness ratios (ICER) for the base scenarios and performed sensitivity analyses by varying costs for outcomes (transplant, death, admission) and admission rates (40%, range 25%-60%). RESULTS Using fixed costs of outcomes and outcome rates, microbiota analysis was cost-saving ($47K-$97K) at $250 and $350/sample if admissions were reduced by 5%over SOC and >10% with $650/sample. When costs of LT, death and admissions were varied, these cost-savings remained robust provided there was >2.1% reduction (range 1.3%-3.2%) for $250/sample, >2.9% (range 1.8%-4.4%) for $350/sample and >5.4% (range 3.3%-8.2%) for $650/sample. These cost-savings remained robust even when the assumed admission rate was varied for all sample cost values. CONCLUSIONS Gut microbiota analysis is cost-effective for predicting and potentially preventing 90-day admissions in cirrhosis over current standard of care. This cost-saving remained robust even after sensitivity analyses that varied the background admission rates.
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Affiliation(s)
- Jasmohan S Bajaj
- Division of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University and McGuire VA Medical Center, Richmond, Virginia
| | - Chathur Acharya
- Division of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University and McGuire VA Medical Center, Richmond, Virginia
| | | | | | - Leroy R Thacker
- Department of Biostatistics, Virginia Commonwealth University Medical Center, Richmond, Virginia
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20
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Chirapongsathorn S, Poovorawan K, Soonthornworasiri N, Pan-Ngum W, Phaosawasdi K, Treeprasertsuk S. Thirty-Day Readmission and Cost Analysis in Patients With Cirrhosis: A Nationwide Population-Based Data. Hepatol Commun 2020; 4:453-460. [PMID: 32140661 PMCID: PMC7049670 DOI: 10.1002/hep4.1472] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2019] [Accepted: 12/07/2019] [Indexed: 12/11/2022] Open
Abstract
Accurate population‐based data are needed on the rate, economic impact, and the long‐term outcomes of readmission among patients with cirrhosis. To examine the rates, costs, and 1‐year outcomes of patients readmitted within 30 days following their index hospitalization for complications of cirrhosis, we conducted a nationwide, population‐based cohort study involving all patients with cirrhosis in Thailand from 2009 through 2013, using data from the National Health Security Office databases, which included those from nationwide hospitalizations. Readmission was captured from hospitals at all health care levels across the country within the Universal Coverage Scheme. For the 134,038 patients hospitalized with cirrhosis, the overall 30‐day readmission rate was 17%. Common causes of readmission consisted of complications of portal hypertension (47%) and infections (17%). After adjusting for multiple covariates, predictors of 30‐day readmission included hepatocellular carcinoma (odds ratio [OR] 1.95, 95% confidence interval [CI] 1.84‐2.06), human immunodeficiency virus–related admission (OR 1.81, 95% CI 1.51‐2.17) and cholangiocarcinoma (OR 1.64, 95% CI 1.3‐2.05). In all, 2,936 deaths (13%) occurred during readmission, and an additional 14,425 deaths up to 1 year (63.5% total mortality among readmitted patients). Causes of death were mostly from liver‐related mortality. Average cost at index admission for those with a 30‐day readmission were significantly higher than those readmitted beyond 30 days or not readmitted. Conclusions: Patients hospitalized with cirrhosis complications had high rates of unscheduled 30‐day readmission. Average hospitalization costs were high, and only 36.5% of patients readmitted within 30 days survived at 1 year.
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Affiliation(s)
- Sakkarin Chirapongsathorn
- Division of Gastroenterology and Hepatology Department of Medicine Phramongkutklao Hospital College of Medicine, Royal Thai Army Bangkok Thailand
| | - Kittiyod Poovorawan
- Department of Clinical Tropical Medicine Faculty of Tropical Medicine Mahidol University Bangkok Thailand
| | | | - Wirichada Pan-Ngum
- Department of Tropical Hygiene Faculty of Tropical Medicine Mahidol University Bangkok Thailand
| | | | - Sombat Treeprasertsuk
- Division of Gastroenterology Department of Medicine Chulalongkorn University Bangkok Thailand
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