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Bao X, Wang F. Risk Factors for Unplanned Readmission in Adult Liver Transplant Patients: A Retrospective Study. Transplant Proc 2024; 56:1385-1389. [PMID: 38964987 DOI: 10.1016/j.transproceed.2024.02.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 02/26/2024] [Indexed: 07/06/2024]
Abstract
INTRODUCTION Unplanned readmission is an important indicator for evaluating medical care quality. Adult liver transplant patients have high risk for readmission, which seriously affects their recovery. As there is currently a lack of research on risk factors for unplanned readmission of adult liver transplant patients in China, the purpose of this study was to elucidate such risk factors. METHODS Data for patients undergoing liver transplantation surgery at a tertiary hospital in Zhejiang Province from March 2018 to July 2022 were retrospectively collected. Patients were divided into readmission and nonreadmission groups based on whether unplanned readmission occurred within 90 days. Univariate analysis and logistic regression were used to analyze risk factors for unplanned readmission. RESULTS In total, 123 adult liver transplant patients were included; 38 had unplanned readmission, for a rate of 30.8%. There was a statistically significant difference between the groups in terms of age, educational level, operation time, intraoperative bleeding volume, number of complications, postoperative hospital stay, and hemoglobin (P < .05). Logistic regression analysis showed that age [OR = 1.085, 95% CI (1.022, 1.152)], operation time [OR = 1.010, 95% CI (1.001, 1.020)], postoperative hospital stay [OR = 1.124, 95% CI (1.023, 1.235)], and number of complications [OR = 4.487, 95% CI (1.234, 16.319)] were independent risk factors for unplanned readmission in adult liver transplant patients (P < .05). CONCLUSIONS The current situation of unplanned readmission for adult liver transplant patients cannot be ignored, indicating that staff should identify risk factors for unplanned readmission as soon as possible and take targeted personalized measures and health education to reduce readmission risk.
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Affiliation(s)
- Xiangying Bao
- Nursing Department, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Fei Wang
- Nursing Department, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
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Kazemimajd S, Roshanaei G, Tapak L. Spatial inequalities and non-linear association of continuous variables with mortality risk of liver transplantation in Iran: a retrospective cohort study. Sci Rep 2024; 14:404. [PMID: 38172316 PMCID: PMC10764747 DOI: 10.1038/s41598-023-50808-8] [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] [Received: 06/25/2023] [Accepted: 12/26/2023] [Indexed: 01/05/2024] Open
Abstract
Liver transplantation is the second most common solid organ transplant and the best option for liver failure. Of course, patient survival after transplantation depends on many risk factors. The aim of this study was to investigate the spatial and non-linear effects of continuous risk factors on patient survival after liver transplantation. This retrospective cohort study (n = 3148) used data on liver transplantation in Iran (2004-2019). A generalized additive model with spatial effects and non-linear effects of age and Model for End-Stage Liver Disease (MELD) score variables by penalized spline was used. The majority of patients were male (63.3%), with a mean (SD) age of 42.65 (13.31) and a mean (SD) MELD score of 24.43 (6.72). The 1, 5, and 10-year survival rates were 88.2%, 84.6%, and 82.5% respectively. The non-linear effect showed a steeper slope of the age effect on the hazard of death after the age of 50 (p < 0.05), and the MELD score had a direct but non-linear relationship with the hazard of death (p < 0.05). In the spatial pattern, the provinces with a greater distance from the transplant center had significantly fewer old patients than other provinces. Also, more distant provinces with an older transplant age had higher post-transplant mortality rates. Our study showed that it is better to take age and MELD score into account in postoperative care. The spatial pattern of mortality risk reflects inequalities in access to transplantation and public health services after transplantation.
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Affiliation(s)
- Somayeh Kazemimajd
- Department of Biostatistics, School of Public Health, Hamadan University of Medical Science, Hamadan, Iran
| | - Ghodratollah Roshanaei
- Department of Biostatistics, School of Public Health and Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Leili Tapak
- Department of Biostatistics, School of Public Health and Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
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Salah M, Montasser IF, El Gendy HA, Korraa AA, Elewa GM, Dabbous H, Mahfouz HR, Abdelrahman M, Goda MH, Bahaa El-Din MM, El-Meteini M, Labib HA. Intensive care unit readmission in adult Egyptian patients undergoing living donor liver transplant: A single-centre retrospective cohort study. World J Hepatol 2022; 14:1150-1161. [PMID: 35978667 PMCID: PMC9258246 DOI: 10.4254/wjh.v14.i6.1150] [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: 01/31/2022] [Revised: 04/01/2022] [Accepted: 06/03/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Patients who undergo living donor liver transplantation (LDLT) may suffer complications that require intensive care unit (ICU) readmission.
AIM To identify the incidence, causes, and outcomes of ICU readmission after LDLT.
METHODS A retrospective cohort study was conducted on patients who underwent LDLT. The collected data included patient demographics, preoperative characteristics, intraoperative details; postoperative stay, complications, causes of ICU readmission, and outcomes. Patients were divided into two groups according to ICU readmission after hospital discharge. Risk factors for ICU readmission were identified in univariate and multivariate analyses.
RESULTS The present study included 299 patients. Thirty-one (10.4%) patients were readmitted to the ICU after discharge. Patients who were readmitted to the ICU were older in age (53.0 ± 5.1 vs 49.4 ± 8.8, P = 0.001) and had a significantly higher percentage of women (29% vs 13.4%, P = 0.032), diabetics (41.9% vs 24.6%, P = 0.039), hypertensives (22.6% vs 6.3%, P = 0.006), and renal (6.5% vs 0%, P = 0.010) patients as well as a significantly longer initial ICU stay (6 vs 4 d, respectively, P < 0.001). Logistic regression analysis revealed that significant independent risk factors for ICU readmission included recipient age (OR = 1.048, 95%CI = 1.005-1.094, P = 0.030) and length of initial hospital stay (OR = 0.836, 95%CI = 0.789-0.885, P < 0.001).
CONCLUSION The identification of high-risk patients (older age and shorter initial hospital stay) before ICU discharge may help provide optimal care and tailor follow-up to reduce the rate of ICU readmission.
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Affiliation(s)
- Manar Salah
- Department of Tropical Medicine, Ain Shams Center for Organ Transplantation, Ain Shams University, Cairo 11566, Egypt
| | - Iman Fawzy Montasser
- Department of Tropical Medicine, Ain Shams Center for Organ Transplantation, Ain Shams University, Cairo 11566, Egypt
| | - Hanaa A El Gendy
- Department of Anaesthesia and Critical Care, Ain Shams Centre for Organ Transplantation, Ain Shams University, Cairo 11566, Egypt
| | - Alaa A Korraa
- Department of Anaesthesia and Critical Care, Ain Shams Centre for Organ Transplantation, Ain Shams University, Cairo 11566, Egypt
| | - Gamal M Elewa
- Department of Anaesthesia and Critical Care, Ain Shams Centre for Organ Transplantation, Ain Shams University, Cairo 11566, Egypt
| | - Hany Dabbous
- Department of Tropical Medicine, Ain Shams Center for Organ Transplantation, Ain Shams University, Cairo 11566, Egypt
| | - Hossam R Mahfouz
- Department of Anaesthesia and Critical Care, Ain Shams Centre for Organ Transplantation, Ain Shams University, Cairo 11566, Egypt
| | - Mostafa Abdelrahman
- Department of General Surgery and Liver Transplantation, Ain Shams Centre for Organ Transplantation, Ain Shams University, Cairo 11566, Egypt
| | - Mohammed Hisham Goda
- Department of General Surgery and Liver Transplantation, Ain Shams Centre for Organ Transplantation, Ain Shams University, Cairo 11566, Egypt
| | - Mohamed Mohamed Bahaa El-Din
- Department of General Surgery and Liver Transplantation, Ain Shams Centre for Organ Transplantation, Ain Shams University, Cairo 11566, Egypt
| | - Mahmoud El-Meteini
- Department of General Surgery and Liver Transplantation, Ain Shams Centre for Organ Transplantation, Ain Shams University, Cairo 11566, Egypt
| | - Heba A Labib
- Department of Anaesthesia and Critical Care, Ain Shams Centre for Organ Transplantation, Ain Shams University, Cairo 11566, Egypt
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Chu A, Zhang T, Fang Y, Yuan L, Guan X, Zhang H. Unplanned hospital readmissions after kidney transplantation among patients in Hefei, China: Incidence, causes and risk factors. Int J Nurs Sci 2020; 7:291-296. [PMID: 32817851 PMCID: PMC7424151 DOI: 10.1016/j.ijnss.2020.05.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Revised: 04/15/2020] [Accepted: 05/12/2020] [Indexed: 10/25/2022] Open
Abstract
Objectives Unplanned readmissions severely affect a patient's physical and mental well-being after kidney transplantation (KT), which is also independently associated with morbidity. A retrospective study was conducted to identify the incidence, causes and risk factors for unplanned readmission after KT among Chinese patients. Methods Patients who underwent KT were admitted to the organ transplant center of the Affiliated Hospital of University of Science and Technology of China (2017-2018). Medical records for these patients were obtained through the hospital information system (HIS). Results In 518 patients, the incidence of unplanned readmissions within 30 days (n = 9) was 1.74%, and 90 days (n = 64) was 12.35%. The one-year unplanned readmission rate was 22.59% (n = 122). Overall, 122 patients were readmitted because of infection, renal events, metabolic disturbances, surgical complications, etc. Hemodialysis (OR = 10.462, 95% CI: 1.355-80.748), peritoneal dialysis (OR = 8.746, 95% CI: 1.074-71.238) and length of stay (OR = 1.023, 95% CI: 1.006-1.040) were independent risk factors for unplanned readmissions. Conclusion Unplanned readmission rates increased with time after KT. Certain risk factors related to unplanned readmissions should be deeply excavated. Targeted interventions for controllable factors to alleviate the rate of unplanned readmissions should be identified.
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Affiliation(s)
- Aiqin Chu
- The Organ Transplant Center of the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Tian Zhang
- The Organ Transplant Center of the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Yueyan Fang
- The Organ Transplant Center of the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Li Yuan
- The Organ Transplant Center of the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Xiaohong Guan
- The Organ Transplant Center of the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Hailing Zhang
- The Organ Transplant Center of the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
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Kim M, Kim K. Unplanned readmission of patients with heart transplantation in 1 year: A retrospective study. J Adv Nurs 2019; 76:824-835. [DOI: 10.1111/jan.14280] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Revised: 10/29/2019] [Accepted: 11/26/2019] [Indexed: 11/30/2022]
Affiliation(s)
| | - Kisook Kim
- Department of Nursing Chung‐Ang University Seoul Republic of Korea
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Outcomes of different surgical resection techniques for end-stage hepatic alveolar echinococcosis with inferior vena cava invasion. HPB (Oxford) 2019; 21:1219-1229. [PMID: 30782476 DOI: 10.1016/j.hpb.2018.10.023] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 10/16/2018] [Accepted: 10/18/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND Hepatic alveolar echinococcosis (HAE) lesions with inferior vena cava (IVC) invasion require combined resection of the liver and IVC. The outcomes of different surgical treatments, including in situ, ante situm and ex vivo resection, remain unclear. METHODS A total of 71 consecutive HAE patients who underwent hepatectomy with retrohepatic IVC resection were included. The patients were divided into ex vivo liver resection and autotransplantation (ERAT) group (n = 45) and in vivo resection group (n = 26). These techniques were assessed for feasibility and short- and long-term outcomes. RESULTS There were no significant differences with respect to postoperative complications and mortality between the ERAT and in vivo resection groups. The causes of mortality were liver failure in 3 patients, hemorrhagic shock in 1 patient, intra-abdominal bleeding in 1 patient, and acute cerebral hemorrhage in 1 patient. During a median of 22 months followed-up time, 2 patients developed ascites because of venous outflow stenosis, and 1 patient developed biliary stenosis in the ERAT group. The distant metastasis, local recurrence, and mortality rates were 0%, 1.4%, and 8.5%, respectively. CONCLUSION Combined liver resection and reconstruction of the IVC can be safely performed in selected patients with in situ, ante situm, and ex vivo resection.
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Bacterial DNA translocation contributes to systemic inflammation and to minor changes in the clinical outcome of liver transplantation. Sci Rep 2019; 9:835. [PMID: 30696924 PMCID: PMC6351615 DOI: 10.1038/s41598-018-36904-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Accepted: 11/21/2018] [Indexed: 12/19/2022] Open
Abstract
Bacterial (bact)DNA is an immunogenic product that frequently translocates into the blood in cirrhosis. We evaluated bactDNA clearance in patients undergoing liver transplantation (LT) and its association with inflammation and clinically relevant complications. We prospectively included patients consecutively admitted for LT in a one-year follow-up study. We evaluated bactDNA before and during the first month after LT, quantifying cytokine response at 30 days. One hundred patients were included. BactDNA was present in the blood of twenty-six patients undergoing LT. Twenty-four of these showed bactDNA in the portal vein, matching peripheral blood-identified bactDNA in 18 cases. Thirty-four patients showed bactDNA in blood during the first month after LT. Median TNF-α and IL-6 levels one month after LT were significantly increased in patients with versus without bactDNA. Serum TNF-α at baseline was an independent risk factor for bactDNA translocation during the first month after LT in the multivariate analysis (Odds ratio (OR) 1.14 [1.04 to 1.29], P = 0.015). One-year readmission was independently associated with the presence of bactDNA during the first month after LT (Hazard ratio (HR) 2.75 [1.39 to 5.45], P = 0.004). The presence of bactDNA in the blood of LT recipients was not shown to have any impact on complications such as death, graft rejection, bacterial or CMV infections. The rate of bactDNA translocation persists during the first month after LT and contributes to sustained inflammation. This is associated with an increased rate of readmissions in the one-year clinical outcome after LT.
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Zeidan JH, Levi DM, Pierce R, Russo MW. Strategies That Reduce 90-Day Readmissions and Inpatient Costs After Liver Transplantation. Liver Transpl 2018; 24:1561-1569. [PMID: 29694710 DOI: 10.1002/lt.25186] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2018] [Accepted: 08/21/2018] [Indexed: 12/24/2022]
Abstract
Liver transplantation (LT) is hospital-resource intensive and associated with high rates of readmission. We have previously shown a reduction in 30-day readmission rates by implementing a specifically designed protocol to increase access to outpatient care. The aim of this work is to determine if the strategies that reduce 30-day readmission after LT were effective in also reducing 90-day readmission rates and costs. A protocol was developed to reduce inpatient readmissions after LT that expanded outpatient services and provided alternatives to readmission. The 90-day readmission rates and costs were compared before and after implementing strategies outlined in the protocol. Multivariable analysis was used to control for potential confounding factors. Over the study period, 304 adult primary LTs were performed on patients with a median biological Model for End-Stage Liver Disease of 22. There were 112 (37%) patients who were readmitted within 90 days of transplant. The readmission rates before and after implementation of the protocol were 53% and 26%, respectively (P < 0.001). The most common reason for readmission was elevated liver tests/rejection (24%). In multivariable analysis, the protocol remained associated with avoiding readmission (odds ratio, 0.33; 95% confidence interval, 0.20-0.55; P < 0.001). The median length of stay after transplant before and after protocol implementation was 8 days and 7 days, respectively. A greater proportion of patients were discharged to hospital lodging after protocol implementation (10% versus 19%; P = 0.03). The 90-day readmission costs were reduced by 55%, but the total 90-day costs were reduced by only 2.7% because of higher outpatient costs and index admission costs. In conclusion, 90-day readmission rates and readmission costs can be reduced by improving access to outpatient services and hospital-local lodging. Total 90-day costs were similar between the 2 groups because of higher outpatient costs after the protocol was introduced.
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Affiliation(s)
- Joseph H Zeidan
- Divisions of Hepatology, Carolinas HealthCare System, Charlotte, NC
| | - David M Levi
- Divisions of Transplant Surgery, Carolinas HealthCare System, Charlotte, NC
| | - Ruth Pierce
- Quality Management, Carolinas HealthCare System, Charlotte, NC
| | - Mark W Russo
- Divisions of Hepatology, Carolinas HealthCare System, Charlotte, NC
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Liu K, Strasser SI, Koorey DJ, Leong RW, Solomon M, McCaughan GW. Interactions between primary sclerosing cholangitis and inflammatory bowel disease: implications in the adult liver transplant setting. Expert Rev Gastroenterol Hepatol 2017. [PMID: 28627935 DOI: 10.1080/17474124.2017.1343666] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Primary sclerosing cholangitis (PSC) is a chronic cholestatic liver disease which is associated with inflammatory bowel disease (IBD) in most cases. As there is currently no medical therapy which alters the natural history of PSC, liver transplantation may be required. Areas covered: We searched for articles in PubMed and critically reviewed current literature on the interrelationship between PSC and IBD with a specific focus on considerations for patients in the liver transplant setting. Expert commentary: PSC is an uncommon disease which limits available studies to be either retrospective or contain relatively small numbers of patients. Based on observations from these studies, the behavior and complications of PSC and IBD impact on each other both before and after a liver transplant. Both these autoimmune conditions and their associated cancer risk also influence patient selection for transplantation and may be impacted by immunosuppression use post-transplant. Hence, a complex interplay exists between PSC, IBD and liver transplantation which requires clarification with ongoing research.
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Affiliation(s)
- Ken Liu
- a Sydney Medical School , The University of Sydney , Sydney , NSW , Australia.,b AW Morrow Gastroenterology and Liver Centre , Royal Prince Alfred Hospital , Sydney , NSW , Australia.,c Liver Injury and Cancer Program, Centenary Institute , The University of Sydney , Sydney , NSW , Australia
| | - Simone I Strasser
- a Sydney Medical School , The University of Sydney , Sydney , NSW , Australia.,b AW Morrow Gastroenterology and Liver Centre , Royal Prince Alfred Hospital , Sydney , NSW , Australia
| | - David J Koorey
- a Sydney Medical School , The University of Sydney , Sydney , NSW , Australia.,b AW Morrow Gastroenterology and Liver Centre , Royal Prince Alfred Hospital , Sydney , NSW , Australia
| | - Rupert W Leong
- a Sydney Medical School , The University of Sydney , Sydney , NSW , Australia.,d Gastroenterology and Liver Services , Concord Hospital , Sydney , NSW , Australia
| | - Michael Solomon
- a Sydney Medical School , The University of Sydney , Sydney , NSW , Australia.,e Department of Colorectal Surgery , Royal Prince Alfred Hospital , Sydney , NSW , Australia
| | - Geoffrey W McCaughan
- a Sydney Medical School , The University of Sydney , Sydney , NSW , Australia.,b AW Morrow Gastroenterology and Liver Centre , Royal Prince Alfred Hospital , Sydney , NSW , Australia.,c Liver Injury and Cancer Program, Centenary Institute , The University of Sydney , Sydney , NSW , Australia
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Alrawashdeh M, Zomak R, Dew MA, Sereika S, Song MK, Pilewski J, DeVito Dabbs A. Pattern and Predictors of Hospital Readmission During the First Year After Lung Transplantation. Am J Transplant 2017; 17:1325-1333. [PMID: 27676226 PMCID: PMC5368039 DOI: 10.1111/ajt.14064] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2016] [Revised: 09/11/2016] [Accepted: 09/18/2016] [Indexed: 01/25/2023]
Abstract
Hospital readmission after lung transplantation negatively affects quality of life and resource utilization. A secondary analysis of data collected prospectively was conducted to identify the pattern of (incidence, count, cumulative duration), reasons for and predictors of readmission for 201 lung transplant recipients (LTRs) assessed at 2, 6, and 12 mo after discharge. The majority of LTRs (83.6%) were readmitted, and 64.2% had multiple readmissions. The median cumulative readmission duration was 19 days. The main reasons for readmission were other than infection or rejection (55.5%), infection only (25.4%), rejection only (9.9%), and infection and rejection (0.7%). LTRs who required reintubation (odds ratio [OR] 1.92; p = 0.008) or were discharged to care facilities (OR 2.78; p = 0.008) were at higher risk for readmission, with a 95.7% cumulative incidence of readmission at 12 mo. Thirty-day readmission (40.8%) was not significantly predicted by baseline characteristics. Predictors of higher readmission count were lower capacity to engage in self-care (incidence rate ratio [IRR] 0.99; p = 0.03) and discharge to care facilities (IRR 1.45; p = 0.01). Predictors of longer cumulative readmission duration were older age (arithmetic mean ratio [AMR] 1.02; p = 0.009), return to the intensive care unit (AMR 2.00; p = 0.01) and lower capacity to engage in self-care (AMR 0.99; p = 0.03). Identifying LTRs at risk may assist in optimizing predischarge care, discharge planning and long-term follow-up.
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Affiliation(s)
| | - Rachelle Zomak
- Cardiothoracic Transplantation Program, UPMC, Pittsburgh, PA
| | - Mary Amanda Dew
- School of Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Susan Sereika
- School of Nursing, University of Pittsburgh, Pittsburgh, PA
| | - Mi-Kyung Song
- School of Nursing, University of North Carolina, Chapel Hill, NC
| | - Joseph Pilewski
- School of Medicine, University of Pittsburgh, Pittsburgh, PA
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Hu H, Huang B, Zhao J, Wang W, Guo Q, Ma Y. Liver autotransplantation and retrohepatic vena cava reconstruction for alveolar echinococcosis. J Surg Res 2016; 210:169-176. [PMID: 28457324 DOI: 10.1016/j.jss.2016.11.023] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2016] [Revised: 10/31/2016] [Accepted: 11/10/2016] [Indexed: 02/05/2023]
Abstract
BACKGROUND Alveolar echinococcosis (AE) is characterized by a slow-growing infiltrative neoplasm that is often unresectable by traditional methods because of strong adhesions and invasion to adjacent structures. We present our experience with liver autotransplantation and retrohepatic inferior vena cava (RHIVC) reconstruction using autogenous veins in patients with this end-stage parasitic disease. METHODS Twelve patients with hepatic AE and extensive RHIVC, hepatic vein, and/or hilar invasion underwent ex vivo liver resection and RHIVC reconstruction using autogenous veins followed by autotransplantation in the West China Hospital of Sichuan University from 2013 to 2016. RESULTS The mean weight of the harvested liver graft was 537 g (range: 390-900 g), the mean anhepatic time was 216 min (range, 120-310 min), and the mean operation time was 13.6 h (range, 10.5-19.5 h). The main postoperative complication was bile leakage. The mean postoperative hospital stay was 16.4 d (range, 10.0-37.0 d), and the median follow-up time was 15.5 mo (range, 1.0-32.0 mo). All patients were alive at the latest follow-up. The vascular patency rate was 100%, and no residual disease, recurrence, or metastasis was detected. CONCLUSIONS To our knowledge, liver autotransplantation and RHIVC reconstruction using autogenous veins are rarely performed for patients with end-stage hepatic AE. This technique requires no organ donor, allogeneic, or artificial vessel implantation, postoperative immunosuppressive therapy, or long-term postoperative anticoagulant treatment. These benefits may make the treatment of select end-stage hepatic AE patients more affordable and effective.
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Affiliation(s)
- Hankui Hu
- Department of Vascular Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Bin Huang
- Department of Vascular Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Jichun Zhao
- Department of Vascular Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Wentao Wang
- Department of Liver Surgery, Liver Transplantation Center, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Qiang Guo
- Department of Vascular Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Yukui Ma
- Department of Vascular Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
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Identifying the Prognosis Factors in Death after Liver Transplantation via Adaptive LASSO in Iran. JOURNAL OF ENVIRONMENTAL AND PUBLIC HEALTH 2016; 2016:7620157. [PMID: 27648080 PMCID: PMC5014976 DOI: 10.1155/2016/7620157] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/28/2016] [Accepted: 08/07/2016] [Indexed: 12/28/2022]
Abstract
Despite the widespread use of liver transplantation as a routine therapy in liver diseases, the effective factors on its outcomes are still controversial. This study attempted to identify the most effective factors on death after liver transplantation. For this purpose, modified least absolute shrinkage and selection operator (LASSO), called Adaptive LASSO, was utilized. One of the best advantages of this method is considering high number of factors. Therefore, in a historical cohort study from 2008 to 2013, the clinical findings of 680 patients undergoing liver transplant surgery were considered. Ridge and Adaptive LASSO regression methods were then implemented to identify the most effective factors on death. To compare the performance of these two models, receiver operating characteristic (ROC) curve was used. According to the results, 12 factors in Ridge regression and 9 ones in Adaptive LASSO regression were significant. The area under the ROC curve (AUC) of Adaptive LASSO was equal to 89% (95% CI: 86%-91%), which was significantly greater than Ridge regression (64%, 95% CI: 61%-68%) (p < 0.001). As a conclusion, the significant factors and the performance criteria revealed the superiority of Adaptive LASSO method as a penalized model versus traditional regression model in the present study.
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13
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Rogal S, Mankaney G, Udawatta V, Good CB, Chinman M, Zickmund S, Bielefeldt K, Jonassaint N, Jazwinski A, Shaikh O, Hughes C, Humar A, DiMartini A, Fine MJ. Association between opioid use and readmission following liver transplantation. Clin Transplant 2016; 30:1222-1229. [PMID: 27409580 DOI: 10.1111/ctr.12806] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/26/2016] [Indexed: 12/21/2022]
Abstract
The aim of this study was to assess the independent association between pre-transplant prescription opioid use and readmission following liver transplantation. We reviewed the medical records of all patients at a single medical center undergoing primary, single-organ, liver transplantation from 2004 to 2014. We assessed factors associated with hospital readmission 30 days and 1 year after hospital discharge using multivariable competing risk regression models. Among 1056 transplant recipients, 49 (4.6%) were prescribed pre-transplant prescription opioids. Readmission occurred in 421 (40%) patients within 30 days and 689 (65%) within 1 year. Patients with pre-transplant opioid use had a significantly higher risk of readmission at 30 days (HR 1.7; 95% CI 1.1-2.5) and a non-significantly elevated risk at 1 year (HR 1.4; 95% CI 1.0-1.9) when controlling for other potential confounders. Although pain was the major reason for readmission in only 12 (3%) patients at 30 days and 33 (6%) patients at 1 year, pre-transplant opioid use was significantly associated with pain-related readmission at both time points. In conclusion, prescription opioid use pre-transplantation was significantly associated with all-cause 30-day readmissions and pain-related readmissions at 30 days and 1 year.
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Affiliation(s)
- Shari Rogal
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA. .,Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. .,Division of Gastroenterology, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA. .,Division of Gastroenterology, Hepatology, and Nutrition, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
| | - Gautham Mankaney
- Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Viyan Udawatta
- Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Chester B Good
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA.,Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Matthew Chinman
- VISN 4 Mental Illness Research and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA.,RAND Corporation, Pittsburgh, PA, USA
| | - Susan Zickmund
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA.,Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Klaus Bielefeldt
- Division of Gastroenterology, Hepatology, and Nutrition, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Naudia Jonassaint
- Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.,Division of Gastroenterology, Hepatology, and Nutrition, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Alison Jazwinski
- Division of Gastroenterology, Hepatology, and Nutrition, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Obaid Shaikh
- Division of Gastroenterology, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA.,Division of Gastroenterology, Hepatology, and Nutrition, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Christopher Hughes
- Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Abhinav Humar
- Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Andrea DiMartini
- Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.,Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Michael J Fine
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA.,Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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14
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Courtwright AM, Salomon S, Fuhlbrigge A, Divo M, Rosas IO, Camp PC, Mallidi HH, Burkett P, El-Chemaly S, Wolfe DJ, Goldberg HJ. Predictors and outcomes of unplanned early rehospitalization in the first year following lung transplantation. Clin Transplant 2016; 30:1053-8. [PMID: 27312895 DOI: 10.1111/ctr.12787] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/14/2016] [Indexed: 12/11/2022]
Abstract
Unplanned early rehospitalization (UER), defined as an unscheduled admission within 30 days of a hospital discharge, is associated with graft loss and recipient mortality in some solid organ transplants but has not been investigated in lung transplant. In this retrospective study, we collected socio-demographic and clinical factors to determine predictors and outcomes of UER in the first year following lung transplantation. There were 193 patients who underwent lung transplantation and survived to discharge during the 7.9-year study period. There were 116 (60.1%) patients with at least one UER. Infections (32.8%) and post-surgical complications (11.8%) were the most common reasons for UER. On multivariate analysis, the strongest predictor of having an UER was discharge to a long-term acute care facility (odds ratio: 3.01, 95% confidence interval [CI] 1.46-6.20; P=.003). Patients with any UER in the first year following transplantation had worse adjusted survival (hazard ratio: 1.89, 95% CI 1.02-3.50; P=.04). It is unclear, however, to what extent UERs reflect preventable outcomes. Further large-scale, prospective research is needed to identify the extent to which certain types of UER are modifiable and to define patients at high-risk for preventable UER.
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Affiliation(s)
- Andrew M Courtwright
- Division of Pulmonary and Critical Care Division, Brigham and Women's Hospital, Boston, MA, USA
| | - Stacey Salomon
- Social Work, Care Coordination, Brigham and Women's Hospital, Boston, MA, USA
| | - Anne Fuhlbrigge
- Division of Pulmonary and Critical Care Division, Brigham and Women's Hospital, Boston, MA, USA
| | - Miguel Divo
- Division of Pulmonary and Critical Care Division, Brigham and Women's Hospital, Boston, MA, USA
| | - Ivan O Rosas
- Division of Pulmonary and Critical Care Division, Brigham and Women's Hospital, Boston, MA, USA
| | - Phillip C Camp
- Division of Thoracic Surgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Hari H Mallidi
- Division of Thoracic Surgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Patrick Burkett
- Division of Pulmonary and Critical Care Division, Brigham and Women's Hospital, Boston, MA, USA
| | - Souheil El-Chemaly
- Division of Pulmonary and Critical Care Division, Brigham and Women's Hospital, Boston, MA, USA
| | - David J Wolfe
- Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA
| | - Hilary J Goldberg
- Division of Pulmonary and Critical Care Division, Brigham and Women's Hospital, Boston, MA, USA.
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15
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Russo MW, Levi DM, Pierce R, Casingal V, Eskind L, deLemos A, Schmeltzer PA, Zamor PJ. A prospective study of a protocol that reduces readmission after liver transplantation. Liver Transpl 2016; 22:765-72. [PMID: 26919494 DOI: 10.1002/lt.24424] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2015] [Revised: 01/22/2016] [Accepted: 02/09/2016] [Indexed: 02/07/2023]
Abstract
Health care has shifted to placing priority on quality and value instead of volume. Liver transplantation uses substantial resources and is associated with high readmission rates. Our goal was to determine if a protocol designed to reduce readmission after liver transplant was effective. We conducted a prospective study of a protocol designed to reduce readmission rates after liver transplantation by expanding outpatient services and alternatives to readmission. The 30-day readmission rate 1 year after implementing the protocol was compared to the 30-day rate for 2 years prior to implementation. Multivariate analysis was used to control for potential confounding factors. Over the study period, 167 adult primary liver transplants were performed with a mean biological Model for End-Stage Liver Disease score of 21 ± 8. Fifty-seven (34%) patients were readmitted. The most common reason for readmission was biliary complications (n = 13). The 30-day readmission rate decreased from 40% before implementing the protocol to 20% after implementation (P = 0.02). In multivariate analysis, the protocol remained associated with readmission (odds ratio, 0.39; 95% confidence interval, 0.16-0.92; P = 0.03). The mean length of stay after transplant was 13 ± 12 days preprotocol and 9 ± 5 days postprotocol (P = 0.09). Alternatives to readmission, including hospital lodging and observation status, were main factors in reducing readmission rates. If the most recent definitions of inpatient admission and observation status were applied over the entire study period, then the readmission rates preprotocol and postprotocol were 31% and 20% indicating that the revised definition of observation status accounted for 45% of the reduction in the readmission rate. Readmission after liver transplantation can be reduced without increasing length of stay by implementing a specifically designed protocol that expands outpatient services and alternatives to inpatient admission. Liver Transplantation 22 765-772 2016 AASLD.
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Affiliation(s)
- Mark W Russo
- Division of Hepatology and Transplant Surgery, Carolinas Healthcare System, Charlotte, NC
| | - David M Levi
- Division of Hepatology and Transplant Surgery, Carolinas Healthcare System, Charlotte, NC
| | - Ruth Pierce
- Division of Hepatology and Transplant Surgery, Carolinas Healthcare System, Charlotte, NC
| | - Vincent Casingal
- Division of Hepatology and Transplant Surgery, Carolinas Healthcare System, Charlotte, NC
| | - Lon Eskind
- Division of Hepatology and Transplant Surgery, Carolinas Healthcare System, Charlotte, NC
| | - Andrew deLemos
- Division of Hepatology and Transplant Surgery, Carolinas Healthcare System, Charlotte, NC
| | - Paul A Schmeltzer
- Division of Hepatology and Transplant Surgery, Carolinas Healthcare System, Charlotte, NC
| | - Philippe J Zamor
- Division of Hepatology and Transplant Surgery, Carolinas Healthcare System, Charlotte, NC
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16
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Kothari AN, Yau RM, Blackwell RH, Schaidle-Blackburn C, Markossian T, Zapf MAC, Lu AD, Kuo PC. Inpatient Rehabilitation after Liver Transplantation Decreases Risk and Severity of 30-Day Readmissions. J Am Coll Surg 2016; 223:164-171.e2. [PMID: 27049779 DOI: 10.1016/j.jamcollsurg.2016.01.061] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Revised: 01/20/2016] [Accepted: 01/20/2016] [Indexed: 02/01/2023]
Abstract
BACKGROUND Discharge location is associated with short-term readmission rates after hospitalization for several medical and surgical diagnoses. We hypothesized that discharge location: home, home health, skilled nursing facility (SNF), long-term acute care (LTAC), or inpatient rehabilitation, independently predicted the risk of 30-day readmission and severity of first readmission after orthotopic liver transplantation. STUDY DESIGN We performed a retrospective cohort review using Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases for Florida and California. Patients who underwent orthotopic liver transplantation from 2009 to 2011 were included and followed for 1 year. Mixed-effects logistic regression was used to model the effect of discharge location on 30-day readmission controlling for demographic, socioeconomic, and clinical factors. Total cost of first readmission was used as a surrogate measure for readmission severity and resource use. RESULTS A total of 3,072 patients met our inclusion criteria. The overall 30-day readmission rate was 29.6%. Discharge to inpatient rehabilitation (adjusted odds ratio [aOR] 0.43, p = 0.013) or LTAC/SNF (aOR 0.63, p = 0.014) were associated with decreased odds of 30-day readmission when compared with home. The severity of 30-day readmissions for patients discharged to inpatient rehabilitation were the same as those discharged home or home with home health. Severity was increased for those discharged to LTAC/SNF. The time to first readmission was longest for patients discharged to inpatient rehabilitation (17 days vs 8 days, p < 0.001). CONCLUSIONS When compared with other locations of discharge, inpatient rehabilitation reduces the risk of 30-day readmission and increases the time to first readmission. These benefits come without increasing the severity of readmission. Increased use of inpatient rehabilitation after orthotopic liver transplantation is a strategy to improve 30-day readmission rates.
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Affiliation(s)
- Anai N Kothari
- Department of Surgery, Loyola University Medical Center, Maywood, IL; One:MAP Analytics Research Group, Loyola University Medical Center, Department of Surgery, Maywood, IL
| | - Ryan M Yau
- One:MAP Analytics Research Group, Loyola University Medical Center, Department of Surgery, Maywood, IL
| | - Robert H Blackwell
- Department of Urology, Loyola University Medical Center, Maywood, IL; One:MAP Analytics Research Group, Loyola University Medical Center, Department of Surgery, Maywood, IL
| | | | - Talar Markossian
- Department of Public Health Sciences, Loyola University Chicago, Chicago, IL
| | - Matthew A C Zapf
- Department of Surgery, Loyola University Medical Center, Maywood, IL; One:MAP Analytics Research Group, Loyola University Medical Center, Department of Surgery, Maywood, IL
| | - Amy D Lu
- Department of Surgery, Loyola University Medical Center, Maywood, IL; One:MAP Analytics Research Group, Loyola University Medical Center, Department of Surgery, Maywood, IL
| | - Paul C Kuo
- Department of Surgery, Loyola University Medical Center, Maywood, IL; One:MAP Analytics Research Group, Loyola University Medical Center, Department of Surgery, Maywood, IL.
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