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Ngu NL, Saxby E, Worland T, Anderson P, Stothers L, Hunter J, Elford AT, Ha P, Hartley I, Roberts A, Seah D, Tambakis G, Connoley D, Figredo A, Ratnam D, Liew D, Rogers B, Sievert W, Bell S, Le S. A Nonrandomized Pilot Study to Investigate the Acceptability and Feasibility of LivR Well: A Multifaceted 28-Day Home-Based Liver Optimization Program for Acute-on-Chronic Liver Failure. GASTRO HEP ADVANCES 2024; 4:100567. [PMID: 39877863 PMCID: PMC11773469 DOI: 10.1016/j.gastha.2024.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/29/2024] [Accepted: 10/11/2024] [Indexed: 01/31/2025]
Abstract
Background and Aims Acute-on-chronic liver failure (ACLF) has a 22%-74% 28-day mortality rate and 30%-40% 30-day readmission rate. We investigated the acceptability and feasibility of a multimodal community intervention for ACLF. Methods A single-arm nonrandomized pilot study of consecutive participants with ACLF was conducted in a tertiary health service. Participants received weekly medical and nursing reviews, dietetics, physiotherapy, pharmacy, social work, addiction medicine, and neuropsychiatry, where indicated. A digital platform included remote weight monitoring and online surveys. The primary outcome was acceptability/feasibility. Secondary outcomes included safety, mortality, readmission, liver disease severity, and costs. Results Fifty-nine patients were enrolled with median age 51 years (interquartile range (IQR): 45-59); majority alcohol etiology (74%),and median Model for End-Stage Liver Disease Sodium score 16 (IQR: 12-21). LivR Well was acceptable with low attrition (8 of 59), adherence to the program including home visits (mean 8.4 ± 4.2) and consultations (mean 2.4 ± 1.5) per patient. This was supported by positive feedback and themes identified through a qualitative subanalysis. Feasibility was demonstrated by recruitment rate of 4.94 patients/month and 86% completion. Mortality was lower than expected at 3%, 30-day readmission rate was 15%, and median Model for End-Stage Liver Disease Sodium score reduced to 15 (P = .01). Median 6-month costs reduced from $30,454 (IQR: $21,953-$65,657) to $17,657 ($4249-$42,876) (P = .009). The total 6-month health-care cost was $1,868,859 (95% confidence interval 1,081,821-2,655,897) compared to $2,518,227 (95% confidence interval 1,959,610-3,076,844). Conclusion LivR Well was acceptable, feasible, and safe with low short-term mortality and readmission rates. Health-care costs were reduced by 26% driven by a 40% reduction in 30-day readmission. Further evaluation includes a randomized controlled trial of LivR Well compared to standard care.
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Affiliation(s)
- Natalie L.Y. Ngu
- Department of Gastroenterology and Hepatology, Monash Health, Melbourne, Victoria, Australia
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
| | - Edward Saxby
- Department of Gastroenterology and Hepatology, Monash Health, Melbourne, Victoria, Australia
- Monash Digital Therapeutics and Innovation Laboratory (MoTILa), Monash University, Monash Health Translation Precinct, Melbourne, Victoria, Australia
| | - Thomas Worland
- Department of Gastroenterology and Hepatology, Monash Health, Melbourne, Victoria, Australia
| | - Patricia Anderson
- Department of Gastroenterology and Hepatology, Monash Health, Melbourne, Victoria, Australia
| | - Lisa Stothers
- Department of Gastroenterology and Hepatology, Monash Health, Melbourne, Victoria, Australia
| | - Jo Hunter
- Monash Digital Therapeutics and Innovation Laboratory (MoTILa), Monash University, Monash Health Translation Precinct, Melbourne, Victoria, Australia
- Pharmacy Department, Monash Health, Melbourne, Victoria, Australia
| | - Alexander T. Elford
- Department of Gastroenterology and Hepatology, Monash Health, Melbourne, Victoria, Australia
- Faculty of Medicine, The University of Melbourne, Parkville, Victoria, Australia
| | - Phil Ha
- Department of Gastroenterology and Hepatology, Monash Health, Melbourne, Victoria, Australia
| | - Imogen Hartley
- Department of Gastroenterology and Hepatology, Monash Health, Melbourne, Victoria, Australia
| | - Andrew Roberts
- Department of Gastroenterology and Hepatology, Monash Health, Melbourne, Victoria, Australia
| | - Dean Seah
- Department of Gastroenterology and Hepatology, Monash Health, Melbourne, Victoria, Australia
| | - George Tambakis
- Department of Gastroenterology and Hepatology, Monash Health, Melbourne, Victoria, Australia
| | - Declan Connoley
- Department of Gastroenterology and Hepatology, Monash Health, Melbourne, Victoria, Australia
| | - Anita Figredo
- Hospital in the Home, Monash Health, Melbourne, Victoria, Australia
| | - Dilip Ratnam
- Department of Gastroenterology and Hepatology, Monash Health, Melbourne, Victoria, Australia
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
| | - Danny Liew
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
| | - Benjamin Rogers
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
- Hospital in the Home, Monash Health, Melbourne, Victoria, Australia
| | - William Sievert
- Department of Gastroenterology and Hepatology, Monash Health, Melbourne, Victoria, Australia
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
| | - Sally Bell
- Department of Gastroenterology and Hepatology, Monash Health, Melbourne, Victoria, Australia
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
| | - Suong Le
- Department of Gastroenterology and Hepatology, Monash Health, Melbourne, Victoria, Australia
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
- Monash Digital Therapeutics and Innovation Laboratory (MoTILa), Monash University, Monash Health Translation Precinct, Melbourne, Victoria, Australia
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Amenyedor K, Lee M, Algara M, Siddiqui WT, Hardt M, Romain G, Mena-Hurtado C, Smolderen KG. Impact of comorbid opioid use disorder and major depressive disorder on healthcare utilization outcomes in patients with peripheral artery disease: A National Readmission Database analysis. Vasc Med 2024; 29:163-171. [PMID: 38391134 DOI: 10.1177/1358863x241228540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Abstract
BACKGROUND Prior research has demonstrated that individuals with peripheral artery disease (PAD) often have comorbid opioid use disorder (OUD) and major depressive disorder (MDD), with limited data regarding their impact on readmission outcomes, length of stay, and cost. This study aimed to investigate these healthcare utilization outcomes in patients with PAD who have comorbid OUD and MDD. METHODS Data were obtained from the National Readmission Database from 2011 through 2018. The study population included all hospitalizations with PAD as the primary or secondary diagnosis, from which hospitalizations with OUD and MDD were extracted using appropriate ICD-9/10 diagnosis codes. Primary outcomes were 30-day and 90-day readmission, total cost, and total length of stay within the calendar year. We created hierarchical multivariable logistic regression models examining OUD with and without MDD, with a random effect for healthcare facility location. RESULTS From 2011 to 2018, 13,265,817 weighted admissions with PAD were identified. These admissions were segmented into four categories: No OUD/No MDD (12,056,466), OUD/No MDD (323,762), No OUD/MDD (867,641), and OUD/MDD (17,948). The group with No OUD/No MDD was used as the reference group for all subsequent comparisons. Regarding 30-day and 90-day readmissions, patients with OUD/MDD had odds of 1.14 (95% CI 1.10, 1.18) and 1.09 (95% CI 1.06, 1.13), respectively. Patients with OUD/No MDD bore the highest median cost of $64,354 (IQR $30,797-137,074), and patients with OUD/MDD marked the lengthiest median stay of 6.01 days (IQR 2.01-13.30). CONCLUSION This study found a significant association between these comorbidities and outcomes and therefore calls for targeted interventions and pain management strategies.
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Affiliation(s)
- Kelvin Amenyedor
- Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Megan Lee
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Miguel Algara
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | | | - Madeleine Hardt
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Gaëlle Romain
- Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Carlos Mena-Hurtado
- Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Kim G Smolderen
- Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
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