Hospital utilization and consequences of readmissions after liver transplantation

PAs and NPs in liver transplantation: Perceptions, implementation, and effect

OBJECTIVES

This study assessed the use and perceptions of physician associates/assistants (PAs) and NPs at liver transplant centers and sought to determine their financial effect.

METHODS

Leaders of liver transplant programs performing 25 or more transplants in 2020 were contacted to complete an 11-question survey about the role and effect of PAs and NPs in liver transplant. A single-center retrospective analysis compared length of stay (LOS) and readmission rates for primary liver transplants and simultaneous liver-kidney transplants before and after a dedicated PA team was established. Chi-square and t -test analyses were performed.

RESULTS

The survey achieved a 77% response rate, and 98% of institutions reported using PAs and NPs. The single-center study found the mean LOS post-transplant was significantly shorter in the post-PA cohort ( P = .0005). No significant difference was found in 30-day readmission rates.

CONCLUSIONS

PAs and NPs are used broadly across the post-liver transplant care continuum. Using LOS as a surrogate financial marker suggests that a dedicated PA and NP team may contribute to cost savings.

Evaluation of Factors Affecting Rehospitalization and Survival After Living Donor Liver Transplantation

BACKGROUND

Complications and comorbidities that may develop after living donor liver transplantation may necessitate rehospitalization after discharge. We aimed to investigate the demographic and clinical factors affecting rehospitalization after discharge.

METHODS

Two hundred seventy patients who underwent living-donor liver transplantation (LDLT) for end-stage liver cirrhosis were included in the study. Patients were divided into two groups as readmission group and others for statistical analysis. Age, gender, body mass index (BMI), model for end-stage liver disease (MELD), Child scores, etiology, blood product transfusion, anhepatic phase, cold ischemia time, operation time, graft-to-recipient weight ratio (GRWR), the type of recipient hepatic artery and hepatic vein utilized in the anastomoses, presence of liver segment 5, segment 8 and inferior accessory hepatic vein, presence of thrombosed, single or reconstructed portal vein, number of bile ducts, use of right, left/left lateral segment graft, postoperative intensive care unit and total hospitalization durations, surgical complications such as leakage/stricture, postoperative portal vein thrombosis, postoperative hepatic vein thrombosis, primary graft dysfunction, intra-abdominal hemorrhage, and postoperative early reoperation were statistically analyzed for readmission. In addition, patients with rehospitalization and others were statistically compared in terms of mortality and survival.

RESULTS

There was no statistical difference among etiologic factors, demographic findings, decompensation findings, comorbidities, perioperative findings, hospital durations, mortality, and survival (P > .05). Only patients with bile leakage/stricture had a statistically higher rehospitalization rate (P = .000).

CONCLUSION

Biliary complications are the most frequent cause of hospital rehospitalization following living donor liver transplantation.

Acute Inpatient Rehabilitation Functional Outcomes and Disposition After Liver Transplant

Objective

To describe the outcomes (change in functional independence and discharge disposition) of patients who after liver transplantation received acute inpatient rehabilitation in a freestanding rehabilitation hospital.

Design

A retrospective chart review was conducted of patients admitted to an acute inpatient rehabilitation hospital within 6 months of undergoing liver transplantation between January 2014 and December 2018. Change in function from rehabilitation admission to discharge was measured using FIM Change and FIM Efficiency.

Setting

A freestanding rehabilitation hospital.

Participants

107 patients who underwent acute inpatient rehabilitation at a freestanding rehabilitation hospital within 6 months after liver transplantation who met inclusion criteria (N=107). Most were men (71.96%), and the mean age of the patient population was 62.15 years.

Interventions

Acute inpatient rehabilitation consisting of at least 3 hours of therapy 5 days a week split between physical therapy, occupational therapy, and speech language pathology services.

Main Outcome Measure

FIM Change, FIM Efficiency, Discharge Disposition.

Results

Participants were found to have statistically significant positive FIM Change (P<.00001) and FIM Efficiency (P<.00001). The mean FIM Change and Efficiency were 35.7±11.8 and 2.4±1.0, respectively. 83.2% (n = 89) were ultimately discharged to the community.

Conclusion

Acute inpatient rehabilitation provides patients who have received a liver transplant with the opportunity to measurably improve their function and independence, with most patients being able to return home.

Acute rejection after liver transplantation with machine perfusion versus static cold storage: A systematic review and meta-analysis

BACKGROUND AND AIMS

Acute cellular rejection (ACR) is a frequent complication after liver transplantation. By reducing ischemia and graft damage, dynamic preservation techniques may diminish ACR. We performed a systematic review to assess the effect of currently tested organ perfusion (OP) approaches versus static cold storage (SCS) on post-transplant ACR-rates.

APPROACH AND RESULTS

A systematic search of Medline, Embase, Cochrane Library, and Web of Science was conducted. Studies reporting ACR-rates between OP and SCS and comprising at least 10 liver transplants performed with either hypothermic oxygenated perfusion (HOPE), normothermic machine perfusion, or normothermic regional perfusion were included. Studies with mixed perfusion approaches were excluded. Eight studies were identified (226 patients in OP and 330 in SCS). Six studies were on HOPE, one on normothermic machine perfusion, and one on normothermic regional perfusion. At meta-analysis, OP was associated with a reduction in ACR compared with SCS [OR: 0.55 (95% CI, 0.33-0.91), p =0.02]. This effect remained significant when considering HOPE alone [OR: 0.54 (95% CI, 0.29-1), p =0.05], in a subgroup analysis of studies including only grafts from donation after cardiac death [OR: 0.43 (0.20-0.91) p =0.03], and in HOPE studies with only donation after cardiac death grafts [OR: 0.37 (0.14-1), p =0.05].

CONCLUSIONS

Dynamic OP techniques are associated with a reduction in ACR after liver transplantation compared with SCS. PROSPERO registration: CRD42022348356.

Days alive and out of hospital after liver transplant: comparing a patient-centered outcome between recipients of grafts from donation after circulatory and brain deaths

We retrospectively compared outcomes between recipients of donation after circulatory death (DCD) and donation after brain death (DBD) liver allografts using days alive and out of hospital (DAOH), a composite outcome of mortality, morbidity, and burden of care from patient perspective. The initial length of stay and duration of any subsequent readmission for the first year after liver transplantation were recorded. Donor category and perioperative and intraoperative characteristics pertinent to liver transplantation were included. The primary outcome was DAOH₃₆₅. Secondary outcomes included early allograft dysfunction and hepatic arterial and biliary complications. Although the incidence of both early allograft dysfunction (P < .001) and ischemic cholangiopathy (P < .001) was significantly greater in the recipients of DCD, there were no significant differences in the length of stay and DAOH₃₆₅. The median DAOH₃₆₅ was 355 days for recipients of DBD allografts and 353 days for recipients of DCD allografts (P = .34). Increased transfusion burden, longer cold ischemic time, and non-White recipients were associated with decreased DAOH. There were no significant differences in graft failure (P = .67), retransplantation (P = .67), or 1-year mortality (P = .96) between the 2 groups. DAOH is a practical and attainable measure of outcome after liver transplantation. This metric should be considered for quality measurement and reporting in liver transplantation.

Psychosocial considerations in the combined bariatric surgery and organ transplantation population: a review of the overlapping pathologies and outcomes

PURPOSE OF REVIEW

This review highlights the salient data of the psychosocial concerns that influence outcomes of bariatric surgery and organ transplantation.

RECENT FINDINGS

Bariatric surgery has emerged as an important intervention with data supporting substantial and sustained weight loss, enhanced quality of life, remission of obesity-related medical comorbidities, and improved long-term patient and graft survival in transplant patients. Depression, suicide, anxiety, posttraumatic stress disorder, alcohol use, adherence, and psychopharmacology considerations can influence outcomes of both these surgeries.

SUMMARY

Obesity is increasingly prevalent among patients pursuing transplantation surgery, and it is often a factor in why a patient needs a transplant. However, obesity can be a barrier to receiving a transplant, with many centers implementing BMI criteria for surgery. Furthermore, obesity and obesity-related comorbidities after transplant can cause poor outcomes. In this context, many transplant centers have created programs that incorporate interventions (such as bariatric surgery) that target obesity in transplant candidates. A presurgery psychosocial assessment is an integral (and required) part of the process towards receiving a bariatric surgery and/or a transplantation surgery. When conducting a dual (bariatric and transplantation surgery) psychosocial assessment, it is prudent to understand the overlap and differentiation of specific psychosocial components that influence outcomes in these procedures.

Infection in Living Donor Liver Transplantation Leads to Increased Risk of Adverse Renal Outcomes

(1) Background: Little is known about the subsequent renal function change following incident infectious diseases in living-donor liver transplant (LT) recipients. (2) Methods: We studied patients who underwent living-donor LT from January 2003 to January 2019 to evaluate the association of incident hospitalization with major infections or pneumonia with adverse renal outcomes, including a sustained 40% reduction in estimated glomerular filtration rate (eGFR) and renal composite outcome (a 40% decline in eGFR, end-stage renal disease, or death.). Multivariable-adjusted time-dependent Cox models with infection as a time-varying exposure were used to estimate hazard ratio (HR) with 95% confidence interval (CI) for study outcomes. (3) Results: We identified 435 patients (mean age 54.6 ± 8.4 years and 76.3% men), of whom 102 had hospitalization with major infections during follow-up; the most common cause of infection was pneumonia (38.2%). In multiple Cox models, hospitalization with a major infection was associated with an increased risk of eGFR decline > 40% (HR, 3.32; 95% CI 2.13−5.16) and renal composite outcome (HR, 3.41; 95% CI 2.40−5.24). Likewise, pneumonia was also associated with an increased risk of eGFR decline > 40% (HR, 2.47; 95% CI 1.10−5.56) and renal composite outcome (HR, 4.37; 95% CI 2.39−8.02). (4) Conclusions: Our results illustrated the impact of a single infection episode on the future risk of adverse renal events in LT recipients. Whether preventive and prophylactic care bundles against infection and judicious modification of the immunosuppressive regimen benefit renal outcomes may deserve further study.

The evolving role of advanced practice providers in transplantation: a literature review

PURPOSE OF REVIEW

Solid organ transplantation is a life-saving procedure, often performed in critically ill patients, and advanced practice providers (APPs) have increasingly been incorporated into the multidisciplinary transplant team. A literature review was performed and reinforces the value of transplant APPs, details their evolving roles and responsibilities, and highlights innovative solutions created to address complex problems.

RECENT FINDINGS

The literature review revealed a deficit of quality quantitative data supporting the utilization of APPs in transplantation. Thus, data regarding the value of APPs in critical care was also analyzed.

SUMMARY

The limited data despite decades long integration of transplant APPs into the multidisciplinary team, suggests there are likely positive outcomes and innovations that go undocumented. Thus, there are missed opportunities for learning and improvement. Transplant programs investing time and mentorship to support APP research will identify strengths and weaknesses within our existing care models, discover cost saving innovations, and continue to optimize the role of APPs in delivering high quality care that is efficient and evidence based.

Predictors of Mortality During Initial Liver Transplant Hospitalization and Investigation of Causes of Death

Background

Liver transplant (LT) remains a life-saving procedure with a high mortality rate. The present study investigated the causes of death and sought to identify predictive factors of mortality during the initial LT hospitalization.

Material/Methods

We retrieved data on first-time adult recipients who underwent LT between November 2017 and October 2019 receiving grafts from donation after citizen’s death. The risk factors for mortality during the initial LT hospitalization were confirmed by univariate analysis. We also analyzed the causes of death.

Results

We enrolled 103 recipients, including 86 males and 17 females, with a mean age of 47.7 years. Thirty-eight (36.9%) recipients were labeled as non-cholestatic cirrhosis-related indications. Approximately 8% of all recipients had diabetes prior to LT. Induction therapy was used in 11 (10.7%) recipients, along with maintenance therapy. The median model for end-stage liver disease score at LT was 32.4 (21.4–38.4). The in-hospital mortality rate of LT recipients was 6.8% (7/103), and infections were responsible for most of the deaths (6/7). The 1 remaining death resulted from primary graft failure. Univariate analysis showed recipients with postoperative pneumonia (p<0.05), acute hepatic necrosis, and intensive care unit (ICU) stay ≥7 days (both p<0.01), postoperative bacteremia, creatinine on day 3 after LT>2 mg/dL, and alanine transaminase on day 1 after LT >1800 μmol/L (all P<0.001) were much more likely to die.

Conclusions

In-hospital mortality of LT recipients was high, due in large part to infections. Acute hepatic necrosis, prolonged post-transplant ICU stays, certain types of postoperative infections, and postoperative liver and kidney dysfunction were potential risk factors for in-hospital mortality of LT recipients.

Unplanned hospital readmissions after kidney transplantation among patients in Hefei, China: Incidence, causes and risk factors

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.

Telemedicine Based Remote Home Monitoring After Liver Transplantation: Results of a Randomized Prospective Trial

OBJECTIVE

This study assesses the impact of a telemedicine-based home management program (THMP) on patient adherence, hospital readmissions, and quality of life (QOL) after liver transplantation (LT).

SUMMARY OF BACKGROUND DATA

Telemedicine interventions represent an opportunity to personalize care and can lead to improved adherence and patient satisfaction. However, there is limited data on impact of these interventions on outcomes after LT. Therefore, we conducted the first randomized controlled trial (RCT) of a THMP compared to standard of care (SOC) after LT.

METHODS

One hundred six consecutive LT recipients were randomized (1:1) to 1 of 2 posttransplant care strategies: SOC or THMP. The THMP included an electronic tablet and bluetooth devices to support daily text messages, education videos, and video FaceTime capability; data was cyber-delivered into our electronic medical record daily. Endpoints were THMP participation, 90-day hospital readmission rate, and QOL.

RESULTS

One hundred patients completed the study with 50 enrolled in each arm. Participation and adherence with telemedicine was 86% for basic health sessions (vital sign recording), but only 45% for using messaging or FaceTime. The THMP group had a lower 90-day readmission rate compared to SOC (28% vs 58%; P = 0.004). The THMP cohort also showed improved QOL in regards to physical function (P = 0.02) and general health (P = 0.05) at 90 days.

CONCLUSIONS

To our knowledge, this is the first RCT demonstrating the impact of THMP after LT. The magnitude of effect on LT outcomes, hospital readmissions, and QOL suggests that the adoption of telemedicine has great potential for other major operations.

An Advanced Practice Practitioner-Based Program to Reduce 30- and 90-Day Readmissions After Liver Transplantation

Hospital readmissions after liver transplantation (LT) are common and associated with increased morbidity and cost. High readmission rates at our center motivated a change in practice with adoption of a nurse practitioner (NP)-based posttransplant care program. We sought to determine if this program was effective in reducing 30- and 90-day readmissions after LT and to identify variables associated with readmission. We performed a retrospective cohort study of all patients undergoing LT from July 1, 2014, to June 30, 2017, at a tertiary LT referral center. A NP-based posttransplant care program with weekend in-house nurse coordination providers and increased outpatient NP clinic availability was instituted on January 1, 2016. Postdischarge readmission rates at 30 and 90 days were compared in the pre-exposure and postexposure groups, adjusting for associated risk factors. A total of 362 patients were included in the analytic cohort. There were no significant differences in demographics, comorbidities, or index hospitalization characteristics between groups. In the adjusted analyses, the risk of readmission in the postexposure group was significantly reduced relative to baseline at 30 days (hazard ratio [HR] 0.60, 95% confidence interval [CI], 0.39-0.90; P = 0.02) and 90 days (HR, 0.49; 95% CI, 0.34-0.71; P < 0.001). Risk factors positively associated with 30-day readmission included peritransplant dialysis (HR, 1.70; 95% CI, 1.13-2.58; P = 0.01) and retransplant on index hospitalization (HR, 10.21; 95% CI, 3.39-30.75; P < 0.001). Male sex was protective against readmission (HR, 0.66; 95% CI, 0.45-0.97; P = 0.03). In conclusion, implementation of expanded NP-based care after LT was associated with significantly reduced 30- and 90-day readmission rates. LT centers and other service lines using significant postsurgical resources may be able to reduce readmissions through similar programs.

Bacterial DNA translocation contributes to systemic inflammation and to minor changes in the clinical outcome of liver transplantation

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.

Strategies That Reduce 90-Day Readmissions and Inpatient Costs After Liver Transplantation

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.

Emergency department visits and unanticipated readmissions after liver transplantation: A retrospective observational study

Improved survival after LT are likely to result in increased healthcare resource utilization. The pattern and risk factors of emergency department (ED) visits and unanticipated readmissions, associated cost, and predictors of healthcare resource utilization after liver transplantation (LT) patients who received LT between 2011 and 2014 were analyzed. A total of 430 LT recipients were enrolled and the 1 year all-cause mortality was 1.4%. ED visits occurred in 53% (229/430) and unanticipated readmissions occurred at least once in 58.6% (252/430) of the patients. Overall risk factors for ED visits after LT included emergency operation [OR 1.56 (95%CI 1.02-2.37), p = 0.038] and warm ischemic time of >15 minutes [OR 2.36 (95%CI 1.25-4.47), p = 0.015]. Risk factors for readmissions after LT included greater estimated blood loss during LT [OR 1.09 (95%CI 1.02-1.17), p = 0.012], warm ischemic time of >15 minutes [OR 1.98 (95%CI 1.04-3.78), p = 0.038], and hospital length of stay of >2 weeks.

Optimizing the Management of Abnormal Liver Function Tests after Orthotopic Liver Transplant: A Systems-Based Analysis of Health Care Utilization

Elevated liver function tests (eLFTs) are a major cause of unplanned readmissions (UR) after orthotopic liver transplantation. Diagnostic workup for eLFTs requires multiple invasive and noninvasive procedures, often done in the inpatient setting to expedite diagnosis, yet consequently resulting in increased costs. In this study, we evaluated eLFT readmissions at a single institution with respect to resource utilization. From 3/2013 to 12/2015, 388 patients underwent orthotopic liver transplantation, resulting in 463 UR totaling 5833 bed days; 87 (18.8%) UR and 929 (15.9%) bed days were for eLFTs. During eLFT-UR all patients underwent repeat laboratory testing, 75 (86.2%) liver ultrasound, 66 (75.8%) liver biopsy, and 17 (19.5%) endoscopic retrograde cholangiopancreatography. Discharge diagnoses were acute cellular rejection (40.2%), transaminitis not otherwise specified (17.2%), biliary complications (16.1%), recurrent hepatitis (11.5%), vascular complications (5.8%), viral hepatitis (5.8%), and steatohepatitis (3.5%). The greatest bed-day utilization was secondary to acute cellular rejection (60.8%) and biliary complications (13.7%). More than 35 per cent of eLFT-UR were due to transaminitis not otherwise specified, steatohepatitis, recurrent or viral hepatitis, none of which necessitate inpatient treatment. In addition, >25 per cent of eLFT-UR bed days were attributed to diagnostic workup. Identifying patients who can undergo expedited outpatient workup and require only outpatient management will result in significantly decreased readmissions, bed days, and hospital costs.

Adapting the Surgical Apgar Score for Perioperative Outcome Prediction in Liver Transplantation: A Retrospective Study

Background

The surgical Apgar score (SAS) is a 10-point scale using the lowest heart rate, lowest mean arterial pressure, and estimated blood loss (EBL) during surgery to predict postoperative outcomes. The SAS has not yet been validated in liver transplantation patients, because typical blood loss usually exceeds the highest EBL category. Our primary aim was to develop a modified SAS for liver transplant (SAS-LT) by replacing the EBL parameter with volume of red cells transfused. We hypothesized that the SAS-LT would predict death or severe complication within 30 days of transplant with similar accuracy to current scoring systems.

Methods

A retrospective cohort of consecutive liver transplantations from July 2007 to November 2013 was used to develop the SAS-LT. The predictive ability of SAS-LT for early postoperative outcomes was compared with Model for End-stage Liver Disease, Sequential Organ Failure Assessment, and Acute Physiology and Chronic Health Evaluation III scores using multivariable logistic regression and receiver operating characteristic analysis.

Results

Of 628 transplants, death or serious perioperative morbidity occurred in 105 (16.7%). The SAS-LT (receiver operating characteristic area under the curve [AUC], 0.57) had similar predictive ability to Acute Physiology and Chronic Health Evaluation III, model for end-stage liver disease, and Sequential Organ Failure Assessment scores (0.57, 0.56, and 0.61, respectively).

Seventy-nine (12.6%) patients were discharged from the ICU in 24 hours or less. These patients’ SAS-LT scores were significantly higher than those with a longer stay (7.0 vs 6.2, P < 0.01). The AUC on multivariable modeling remained predictive of early ICU discharge (AUC, 0.67).

Conclusions

The SAS-LT utilized simple intraoperative metrics to predict early morbidity and mortality after liver transplant with similar accuracy to other scoring systems at an earlier postoperative time point.

Pattern and Predictors of Hospital Readmission During the First Year After Lung Transplantation

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.

Readmission following liver transplantation: an unwanted occurrence but an opportunity to act

BACKGROUND

Liver transplant (LT) patients are at high risk for readmission. This study sought to identify predictors of readmission following liver transplantation and to evaluate their impact on survival in a region with prolonged waiting list times.

METHODS

A single center review of adult deceased donor LT's from 2005 to 2015 was performed, with linkage to the UNOS Standard Transplant Analysis and Research registry. Readmission was defined as hospitalization within 90 days of discharge. Logistic regression was used to identify independent predictors of readmission and Kaplan-Meier analysis for survival.

RESULTS

325 patients underwent LT with an overall 90-day readmission rate of 46%. Upon adjusted analysis, predictors of readmission were age (OR 0.97 per year), male gender (OR 0.48), hospital length of stay (OR 1.03 per day), and hepatitis C liver failure (OR 2.37). Readmitted patients demonstrated a significantly lower 5-year survival (75% vs. 88%, p = 0.008) with only one patient (0.7%) dying during initial readmission.

CONCLUSIONS

Nearly half of all patients are readmitted after LT. As readmission portents decreased survival, an emphasis should be placed on identifying and optimizing those at increased risk. If readmission does occur, however, it presents an opportunity to intervene, as virtually no patients died during initial readmission.

Impact of comorbidity on outcome in kidney transplant recipients: a retrospective study in Italy

The aim of this study was to relate in-hospital mortality (IHM), cardiovascular events (CVEs) and non-immunologic comorbidity evaluated on the basis of International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codification, in Italian kidney transplant recipients (KTRs). We evaluated IHM and admissions due to CVEs between 2000 and 2013 recorded in the database of the region Emilia Romagna. The Elixhauser score was calculated for evaluation of non-immunologic comorbidity. Three main outcomes (i.e. IHM, admission due to major CVEs and combined outcome) were the dependent variables of the multivariate models, while age, gender and Elixhauser score were the independent ones. During the examined period, a total of 9063 admissions in 3648 KTRs were recorded; 1945 patients were males (53.3 %) and 1703 females (46.7 %) and the mean age was 52.9 ± 13.1 years. The non-immunological impaired status of the KTRs, examined by the Elixhauser score, was 3.88 ± 4.29. During the 14-year follow-up period, IHM for any cause was 3.2 % (n = 117), and admissions due to CVEs were 527 (5.8 %). Age and comorbidity were independently associated with CVEs, IHM and the combined outcome. Male gender was independently associated with IHM and combined outcome, but not with CVEs. Evaluation of non-immunological comorbidity is important in KTRs and identification of high-risk patients for major clinical events could improve outcome. Moreover, comorbidity could be even more important in chronic kidney disease patients who are waiting for a kidney transplant.

Use of Six-Minute Walk Test to Measure Functional Capacity After Liver Transplantation

BACKGROUND

Functional impairment is common in people with chronic liver disease (CLD), and improvement is expected following liver transplantation (LT). The Six-Minute Walk Test (6MWT) is an objective measure of functional performance.

OBJECTIVE

The aims of this study were: (1) to evaluate the feasibility of 6MWT performance after LT, (2) to compare post-LT 6MWT performance over time between patients with and without CLD, (3) to determine when post-LT 6MWT performance approaches expected values, and (4) to investigate predictors of poor 6MWT performance.

METHODS

The 6MWT was performed by 162 consecutive ambulatory participants (50 healthy controls, 62 with CLD, 50 with LT). Sex, age, and body mass index were used to predict expected 6MWT performance. Chi-square testing, analysis of variance, and Pearson coefficients compared percentage of predicted 6-minute walk distance (%6MWD) across groups. Multivariable mixed models assessed predictors of improvement.

RESULTS

The participants' mean age was 53.5 years (SD=13.0), 39.5% were female, and 39.1% were nonwhite. At 1-month post-LT, only 52% of all LT recipients met the inclusion criteria for 6MWT performance. Mean %6MWD values for female participants improved from 49.8 (SD=22.2) at 1 month post-LT to 90.6 (SD=12.8) at 1 year post-LT (P<.0001), which did not differ statistically from the CLD group (X̅=95.9, SD=15.6) or the control group (X̅=95.6, SD=18.0) (P=.58). However, at 1-year post-LT, mean %6MWD values for male participants (X̅=80.4, SD=19.5) remained worse than for both the CLD group (X̅=93.3, SD=13.7) and the control group (X̅=91.9, SD=14.3) (P=.03). Six-Minute Walk Test performance was directly correlated with the Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36) physical component score (r=.51, P<.01) and was inversely correlated with nonalcoholic steatohepatitis (r=-.52, P<.01) and diabetes (r=-.48, P<.05). In multivariate analysis adjusted for age and sex, hepatitis C independently predicted 6MWT improvement (estimated β=69.8, standard error=27.6, P=.01).

LIMITATIONS

A significant proportion of patients evaluated for enrollment were excluded due to level of illness early after LT (n=99, 47.4%). Thus, sampling bias occurred in this study toward patients without significant postoperative complications.

CONCLUSIONS

The 6MWT is a simple test of physical functioning but may be difficult to apply in LT recipients. The 6MWT performance improved following LT but was lower than expected, suggesting a low level of fitness up to 1 year following LT.

Association between opioid use and readmission following liver transplantation

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.

Early Hospital Readmissions After Transplantation: Burden, Causes, and Consequences

BACKGROUND

Solid organ transplantation is the preferred treatment for patients with end-stage organ failure. Although much progress has been made over the past decade, some patients still require early readmission after their initial hospital discharge. Early hospital readmission is an important metric for health care quality. It is often measured in nontransplant medical and surgical conditions but has only recently been applied to organ transplantation.

METHODS

We performed a structured MEDLINE search to retrieve, review, and summarize original studies on the incidence, risk factors, outcomes, and prevention of early hospital readmissions after kidney, liver, and kidney-pancreas transplantation. Early hospital readmission was defined as readmission to hospital within 30 days of discharge from the transplant hospitalization.

RESULTS

The risk of early readmission varies by organ type, (highest in liver transplants and lowest in kidney transplants). Causes for early hospital readmission are most commonly due to surgical, immunologic, or infectious complications. Risk factors associated with early hospital readmission often reflect pretransplant comorbidity, and many of these factors may not be modifiable. Early hospital readmission is also associated with decreased graft and patient survival.

CONCLUSIONS

Early hospital readmission after transplantation is common and associated with adverse outcomes. The potential for preventing early hospital readmissions and the impact on patient outcomes remain unclear. Current evidence suggests that some, but not all, early hospital readmissions after transplantation may be prevented.

Use of video-based education and tele-health home monitoring after liver transplantation: Results of a novel pilot study

BACKGROUND

In this observational study, we analyzed the feasibility and early results of a perioperative, video-based educational program and tele-health home monitoring model on postoperative care management and readmissions for patients undergoing liver transplantation.

METHODS

Twenty consecutive liver transplantation recipients were provided with tele-health home monitoring and an educational video program during the perioperative period. Vital statistics were tracked and monitored daily with emphasis placed on readings outside of the normal range (threshold violations). Additionally, responses to effectiveness questionnaires were collected retrospectively for analysis.

RESULTS

In the study, 19 of the 20 patients responded to the effectiveness questionnaire, with 95% reporting having watched all 10 videos, 68% watching some more than once, and 100% finding them effective in improving their preparedness for understanding their postoperative care. Among these 20 patients, there was an observed 19% threshold violation rate for systolic blood pressure, 6% threshold violation rate for mean blood glucose concentrations, and 8% threshold violation rate for mean weights. This subset of patients had a 90-day readmission rate of 30%.

CONCLUSION

This observational study demonstrates that tele-health home monitoring and video-based educational programs are feasible in liver transplantation recipients and seem to be effective in enhancing the monitoring of vital statistics postoperatively. These data suggest that smart technology is effective in creating a greater awareness and understanding of how to manage postoperative care after liver transplantation.

Predictors and outcomes of unplanned early rehospitalization in the first year following lung transplantation

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.

A prospective study of a protocol that reduces readmission after liver transplantation

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.

Inpatient Rehabilitation after Liver Transplantation Decreases Risk and Severity of 30-Day Readmissions

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.

Effect of pretransplant diabetes on short-term outcomes after liver transplantation: a national cohort study

BACKGROUND & AIMS

We sought to analyse the effect of pretransplant diabetes on post-operative outcomes and resource utilization following liver transplantation.

METHODS

A retrospective cohort study was designed using a linkage between the University HealthSystem Consortium and Scientific Registry of Transplant Recipients databases. We identified 12 442 patients who underwent liver transplantation at 63 centres from 2007-2011 and separated cohorts of patients with diabetes (n = 2971; 24%) and without (n = 9471; 76%) at the time of transplant. We analysed transplant related outcomes and short-term survival.

RESULTS

Diabetic recipients were more likely to be male (70% vs 67%), non-white (32% vs 26%), older (age ≥60; 41% vs 28%), and have a higher BMI (29 vs 27; P < 0.001). More diabetic patients were on haemodialysis (10% vs 7%), had cirrhosis caused by NASH (24% vs 9%; P < 0.001), and received liver allografts from older donors (≥ 60 years; 19% vs 15%) with a higher donor risk index (>1.49; 46% vs 42%; P < 0.001). Post-transplant, diabetic recipients had longer hospital length of stay (10 vs 9 days), higher peri-transplant mortality (5% vs 4%) and 30-day readmission rates (41% vs 37%), were less often discharged to home (83% vs 87%; P < 0.05), and had inferior graft and patient survival. Liver transplant was more expensive for type 1 vs type 2 diabetics ($105 078 vs $100 624, P < 0.001). Poorly controlled diabetic recipients were less likely discharged home following transplant (75% vs 82%, P < 0.01).

CONCLUSIONS

This national study indicates that pretransplant diabetes is associated with inferior post-operative outcomes and increased resource utilization after liver transplantation.

Variation by center and economic burden of readmissions after liver transplantation

The rate and causes of hospital readmissions after liver transplantation (LT) remain largely unknown in the United States. Adult patients (n = 11,937; 43.1% of all LT cases) undergoing LT from 2007 to 2011 were examined with a linkage of the University HealthSystem Consortium and Scientific Registry of Transplant Recipients databases to determine the incidence and risk factors for 30-day readmissions and utilization metrics 90 days after LT. The overall 30-day hospital readmission rate after LT was 37.9%, with half of patients admitted within 7 days after discharge. Readmitted patients had worse overall graft and patient survival with a 2-year follow-up. Multivariate analysis identified risk factors associated with 30-day hospital readmission, including a higher Model for End-Stage Liver Disease score, diabetes at LT, dialysis dependence, a high donor risk index allograft, and discharge to a rehabilitation facility. After adjustments for donor, recipient, and geographic factors in a hierarchical model, we found significant variation in readmission rates among hospitals ranging from 26.3% to 50.8% (odds ratio, 0.53-1.90). In the 90-day analysis after LT, readmissions accounted for $43,785 of added costs in comparison with patients who were not readmitted in the first 90 days. This is the first national report showing that more than one-third of LT recipients are readmitted to their center within 30 days and that readmissions are associated with center variation and increased resource utilization.