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Hasjim BJ, Mohammadi M, Balbale SN, Paukner M, Banea T, Shi H, Furmanchuk A, VanWagner LB, Zhao L, Duarte-Rojo A, Doll J, Mehrotra S, Ladner DP, CAPriCORN Team. High Hospitalization Rates and Risk Factors Among Frail Patients With Cirrhosis: A 10-year Population-based Cohort Study. Clin Gastroenterol Hepatol 2025; 23:1152-1163. [PMID: 39426643 PMCID: PMC12006459 DOI: 10.1016/j.cgh.2024.08.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2024] [Revised: 08/26/2024] [Accepted: 08/27/2024] [Indexed: 10/21/2024]
Abstract
BACKGROUND & AIMS Cirrhosis-related inpatient hospitalizations have increased dramatically over the past decade. We used a longitudinal dataset capturing a large metropolitan area in the United States from 2011 to 2021 to evaluate contemporary hospitalization rates and risk factors among frail patients with cirrhosis. METHODS We conducted a retrospective, longitudinal cohort study using the Chicago Area Patient-Centered Outcomes Research Network (CAPriCORN) database, an electronic health record repository that aggregates de-duplicated data across 7 health care systems in the Chicago metropolitan area, from 2011 to 2021. The primary outcome of our study was the rate of hospitalization encounters. Frailty was defined by the Hospital Frailty Risk Score. Hospitalization rates were reported per 100 patients per year, and a multivariable logistic regression analysis identified predictors of annual hospitalization probability. RESULTS During the study period, of 36,971 patients, 16,265 patients (44%) were hospitalized (compensated, 18.4%; decompensated, 81.6%). Hospitalization rates were highest in patients with decompensated cirrhosis, reaching nearly 77.3 hospitalizations/100 patients per year. Hospitalization rates among patients with compensated cirrhosis were also high (14.2 vs 77.3 hospitalization/100 patients per year), with odds of annual hospitalization 3 times (odds ratio, 3.1; 95% confidence interval, 2.9-3.4) as high among compensated patients with intermediate frailty and 5 times (odds ratio, 5.2; 95% confidence interval, 4.5-6.0) as high among those with severe frailty (compared with compensated patients with low frailty). CONCLUSION Compensated and decompensated cirrhosis patients with intermediate to severe frailty face a substantially increased odds of annual hospitalizations compared with those with low frailty. Future work should focus on targeted interventions to incorporate routine frailty screenings into cirrhosis care and to ultimately minimize high hospitalization rates.
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Affiliation(s)
- Bima J Hasjim
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Northwestern University, Chicago, Illinois
| | - Mohsen Mohammadi
- Center for Engineering and Health, McCormick School of Engineering and Applied Science, Northwestern University, Chicago, Illinois; Department of Industrial Engineering and Management Sciences, McCormick School of Engineering, Northwestern University, Evanston, Illinois
| | - Salva N Balbale
- Division of Gastroenterology and Hepatology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois; Center for Health Services and Outcomes Research, Institute of Public Health and Medicine & Northwestern Quality Improvement, Research, & Education in Surgery (NQUIRES), Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois; Center of Innovation for Complex Chronic Healthcare (CINCCH), Edward Hines, Jr. VA Hospital, Hines, Illinois
| | - Mitchell Paukner
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Northwestern University, Chicago, Illinois; Division of Biostatistics, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Therese Banea
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Northwestern University, Chicago, Illinois
| | - Haoyan Shi
- Center for Engineering and Health, McCormick School of Engineering and Applied Science, Northwestern University, Chicago, Illinois; Department of Mathematics, Northwestern University, Evanston, Illinois; Department of Computer Science, McCormick School of Engineering, Northwestern University, Evanston, Illinois
| | - Al'ona Furmanchuk
- Department of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Lisa B VanWagner
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Northwestern University, Chicago, Illinois; Division of Digestive and Liver Diseases, Department of Medicine, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Lihui Zhao
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Northwestern University, Chicago, Illinois; Division of Biostatistics, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Andres Duarte-Rojo
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Northwestern University, Chicago, Illinois; Division of Gastroenterology and Hepatology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Julianna Doll
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Northwestern University, Chicago, Illinois
| | - Sanjay Mehrotra
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Northwestern University, Chicago, Illinois; Center for Engineering and Health, McCormick School of Engineering and Applied Science, Northwestern University, Chicago, Illinois; Department of Industrial Engineering and Management Sciences, McCormick School of Engineering, Northwestern University, Evanston, Illinois
| | - Daniela P Ladner
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Northwestern University, Chicago, Illinois; Center for Health Services and Outcomes Research, Institute of Public Health and Medicine & Northwestern Quality Improvement, Research, & Education in Surgery (NQUIRES), Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois; Division of Transplantation, Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
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Obradović F, Vitello DJ, Hasjim BJ, Obayemi J, Polineni P, Gmeiner M, Koep E, Jain A, Crippa F, Duarte-Rojo A, Rohan VS, Kulik L, Doll JM, Banea T, McNatt GE, Zhao L, VanWagner LB, Manski CF, Ladner DP. Comparing the cost of cirrhosis to other common chronic diseases: A longitudinal study in a large national insurance database. Hepatology 2025:01515467-990000000-01133. [PMID: 39773884 DOI: 10.1097/hep.0000000000001206] [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: 05/07/2024] [Accepted: 11/26/2024] [Indexed: 01/11/2025]
Abstract
BACKGROUND AND AIMS Cirrhosis prevalence is increasing, yet costs associated with its chronic, complex care are poorly understood. The aim was to characterize the costs of care for patients with cirrhosis and compare them to other chronic diseases such as heart failure (HF) and chronic obstructive pulmonary disease (COPD), for which the public health burden is better recognized. APPROACH AND RESULTS Patients enrolled in Medicare Advantage plans from a large national insurer between 2011 and 2020 with cirrhosis, HF, and COPD were identified by ICD-9/-10 codes. Costs (USD) of care were calculated per patient-month and included inpatient medical, emergency medical, pharmacy, and other costs. In all, 93,308 patients with cirrhosis, 355,520 patients with HF, and 318,949 patients with COPD were analyzed. Patients with cirrhosis, HF, and COPD had a mean (SD) age of 69.6 (9.5), 75.9 (9.7), and 72.9 (9.8) years, respectively. The most frequent etiologies were metabolic dysfunction-associated steatohepatitis (37.7%) and alcohol-associated cirrhosis (22.1%). The total monthly cost of care for patients with cirrhosis, HF, and COPD was $3032.00, $2491.60, and $1955.60 respectively. The cost for patients with cirrhosis exceeded that for HF by $540.40 (21.7% higher) and COPD by $1076.30 (55.0% higher). The monthly cost of care for decompensated cirrhosis was $3969.30, which was 59.3% ($1477.70) higher than for HF and 103.0% ($1,955.60) higher than for COPD. CONCLUSIONS The cost of care for cirrhosis is high, significantly higher than HF and COPD. Interventions directed at optimizing care to prevent progression to cirrhosis and decompensation are likely to alleviate this public health burden.
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Affiliation(s)
- Filip Obradović
- Department of Economics, Northwestern University, Evanston, Illinois, USA
| | - Dominic J Vitello
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Bima J Hasjim
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Joy Obayemi
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Praneet Polineni
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Michael Gmeiner
- Department of Economics, London School of Economics, London, UK
| | - Eleena Koep
- Center for Health Care Research, UnitedHealth Group, Eden Prairie, Minnesota, USA
| | - Aditya Jain
- Department of Economics, Northwestern University, Evanston, Illinois, USA
| | - Federico Crippa
- Department of Economics, Northwestern University, Evanston, Illinois, USA
| | - Andrés Duarte-Rojo
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Department of Medicine, Division of Gastroenterology and Hepatology, Northwestern Medicine, Chicago, Illinois, USA
| | - Vinayak S Rohan
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Department of Surgery, Division of Transplantation, Northwestern Medicine, Chicago, Illinois, USA
| | - Laura Kulik
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Department of Medicine, Division of Gastroenterology and Hepatology, Northwestern Medicine, Chicago, Illinois, USA
| | - Julianna M Doll
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Therese Banea
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Gwen E McNatt
- Organ Transplant Center, University of Iowa Healthcare, Iowa City, Iowa, USA
| | - Lihui Zhao
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Lisa B VanWagner
- Department of Medicine, Division of Digestive and Liver Diseases, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Charles F Manski
- Department of Economics, Northwestern University, Evanston, Illinois, USA
- Institute for Policy Research, Northwestern University, Evanston, Illinois, USA
| | - Daniela P Ladner
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Department of Surgery, Division of Transplantation, Northwestern Medicine, Chicago, Illinois, USA
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Khalifa A, Obeid JS, Gregoski MJ, Rockey DC. Accurate Identification of Patients with Cirrhosis and Its Complications in the Electronic Health Record. Dig Dis Sci 2023; 68:2360-2369. [PMID: 36899112 PMCID: PMC10847840 DOI: 10.1007/s10620-023-07876-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 02/11/2023] [Indexed: 03/12/2023]
Abstract
BACKGROUND Cirrhosis represents a significant health burden; administrative data provide an important tool for research studies. AIMS We aimed to understand the validity of current ICD-10 codes compared to previously used ICD-9 codes to identify patients with cirrhosis and its complications. METHODS We identified 1981 patients presenting to MUSC between 2013 and 2019 with a diagnosis of cirrhosis. To validate the sensitivity of ICD codes, we reviewed the medical records of 200 patients for each associated ICD 9 and 10 codes. Sensitivity, specificity, and positive predictive value for each ICD code (individually or when combined) were calculated and univariate binary logistic models, for cirrhosis and its complications, predicted probabilities were used to calculate C-statistics. RESULTS Single ICD 9 and 10 codes were similarly insensitive for detection of cirrhosis, with sensitivity ranging from 5 to 94%. However, ICD-9 code combinations (when used as either/or) had high sensitivity and specificity for the detection of cirrhosis, with the combination of either 571.5 (or 456.21) or 571.2 codes having a C-statistic of 0.975. Combinations of ICD-10 codes were only slightly less sensitive and specific than ICD-9 codes for detection of cirrhosis (K76.6, or K70.31, plus K74.60 or K74.69, and K70.30 had a C-statistic of 0.927). CONCLUSIONS ICD-9 and ICD-10 codes when used alone were inaccurate for identifying cirrhosis. ICD-10 and ICD-9 codes had similar performance characteristics. Combinations of ICD codes exhibited the greatest sensitivity and specificity for detection of cirrhosis, and thus should be used to accurately identify cirrhosis.
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Affiliation(s)
- Ali Khalifa
- Digestive Disease Research Center, Medical University of South Carolina, Charleston, SC, USA
| | - Jihad S Obeid
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Mathew J Gregoski
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Don C Rockey
- Digestive Disease Research Center, Medical University of South Carolina, Charleston, SC, USA.
- Department of Internal Medicine, Medical University of South Carolina, 96 Jonathan Lucas Street, Suite 803, MSC 623, Charleston, SC, 29425, USA.
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Tapper EB, Zhao Z, Mazumder N, Parikh ND. Incidence of, Risk Factors for, and Outcomes After Ascites in a Population-Based Cohort of Older Americans. Dig Dis Sci 2022; 67:5327-5335. [PMID: 35262903 PMCID: PMC10905652 DOI: 10.1007/s10620-022-07454-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 02/14/2022] [Indexed: 01/05/2023]
Abstract
BACKGROUND The incidence of, risk factors for, and outcomes after the development of ascites are poorly described for contemporary patients with cirrhosis. METHODS We examined data for a 20% random sample of US Medicare enrollees with cirrhosis and Part D prescription coverage from 2008 to 2019, excluding patients with heart failure and diuretic use prior to cirrhosis. Among 63,364 persons with cirrhosis, we evaluated the incidence of ascites using an Aalen-Johansen estimator. We evaluated risk factors for ascites, mortality, and mortality after ascites using multistate modeling. We determined the associations with each outcome for an array of medication exposures including nonselective beta-blockers, antiviral therapy, statins, rifaximin, anticoagulants, and metformin. RESULTS The cumulative incidence of ascites was 5.1%, 9.5%, and 10.7% and 1, 3, and 5 years overall. The corresponding data for ascites requiring paracentesis were 1%, 2.1%, and 2.4%. Persons aged < 65 years, with alcohol-related cirrhosis, varices, or HE, are most likely to develop ascites. The risk of ascites was higher for persons taking any NSBB (including carvedilol) but lower for those taking atorvastatin (but not other statins) and antiviral therapy for Hepatitis C. Incident ascites was associated with increased risk of death, HR 27.6 95%CI(21.7-35.1). Survival following ascites was 1.08 years (interquartile range, IQR, 0.26-2.75), 0.38 years (IQR0.1-1.3) for those requiring paracentesis. Lipophilic statins were the only medications associated with lower mortality after ascites requiring paracentesis. CONCLUSIONS Ascites is associated with a high risk of death. Very few candidate therapies are associated with the reduction in the risk of ascites and mortality after ascites development.
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Affiliation(s)
- Elliot B Tapper
- Division of Gastroenterology and Hepatology, University of Michigan, 3912 Taubman, SPC 5362, 1500 E Medical Center Dr, Ann Arbor, MI, 48109, USA.
| | - Zhe Zhao
- Division of Gastroenterology and Hepatology, University of Michigan, 3912 Taubman, SPC 5362, 1500 E Medical Center Dr, Ann Arbor, MI, 48109, USA
| | - Nik Mazumder
- Division of Gastroenterology and Hepatology, University of Michigan, 3912 Taubman, SPC 5362, 1500 E Medical Center Dr, Ann Arbor, MI, 48109, USA
| | - Neehar D Parikh
- Division of Gastroenterology and Hepatology, University of Michigan, 3912 Taubman, SPC 5362, 1500 E Medical Center Dr, Ann Arbor, MI, 48109, USA
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