Adverse Effect of Post-Discharge Care Fragmentation on Outcomes after Readmissions after Liver Transplantation

Mapping the Discharge Process After Surgery

Importance

Care transition models are structured approaches used to ensure the smooth transfer of patients between health care settings or levels of care, but none currently are tailored to the surgical patient. Tailoring care transition models to the unique needs of surgical patients may lead to significant improvements in surgical outcomes and reduced care fragmentation. The first step to developing surgical care transition models is to understand the surgical discharge process.

Objective

To map the surgical discharge process in a sample of US hospitals and identify key components and potential challenges specific to a patient's discharge after surgery.

Design, Setting, and Participants

This qualitative study followed a cognitive task analysis framework conducted between January 1, 2022, and April 1, 2023, in Veterans Health Administration (VHA) hospitals. Observations (n = 16) of discharge from inpatient care after a surgical procedure were conducted in 2 separate VHA surgical units. Interviews (n = 13) were conducted among VHA health care professionals nationwide.

Exposure

Postoperative hospital discharge.

Main Outcomes and Measures

Data were coded according to the principles of thematic analysis, and a swim lane process map was developed to represent the study findings.

Results

At the hospitals in this study, the discharge process observed for a surgical patient involved multidisciplinary coordination across the surgery team, nursing team, case managers, dieticians, social services, occupational and physical therapy, and pharmacy. Important components for a surgical discharge that were not incorporated in the current care transition models included wound care education and supplies; pain control; approvals for nonhome postdischarge locations; and follow-up plans for wounds, ostomies, tubes, and drains at discharge. Potential challenges to the surgical discharge process included social situations (eg, home environment and caregiver availability), team communication issues, and postdischarge care coordination.

Conclusions and Relevance

These findings suggest that current and ongoing studies of discharge care transitions for a patient after surgery should consider pain control; wounds, ostomies, tubes, and drains; and the impact of challenging social situations and interdisciplinary team coordination on discharge success.

Impact of Care Fragmentation after Major Lower Extremity Amputation

BACKGROUND

Care fragmentation (CF) is a known risk factor for unplanned readmission, morbidity, and mortality after surgery. The goal of this study was to evaluate the impact of CF on outcomes of major lower extremity amputation for peripheral vascular disease.

METHODS

Health-care Cost and Utilization Project Database for NY (2016) and MD/FL (2016-2017) were queried using International Classification of Diseases 10thedition to identify patients who underwent above the knee-, through the knee-, and below the knee-amputation for peripheral vascular disease. Patients with CF were identified as those with admissions to ≥2 hospitals during the study period. We compared the postamputation outcomes of mortality, readmission rate, length of stay (LOS) and hospital charges.

RESULTS

We identified a total of 13,749 encounters of 2,742 patients who underwent major lower extremity amputations. There were 1,624 (59.2%) patients with CF. Patients with CF were younger (68.4 years old vs. 69.7 years old, P = 0.005), with higher Charlson Comorbidity Indices (4.4 vs. 4.1, P < 0.001), and required more hospital resources on index admission ($113,699 vs. $91,854, P < 0.001). These patients were prevalent for higher 30-, and 90-day readmission rates (34.7% vs. 24.5%, P < 0.001 and 54.7% vs. 42.0%, P < 0.001, respectively). On their first postamputation readmission, LOS (16.3 days vs. 14.7 days, P = 0.004) and hospital charge ($48,964 vs. $44,388, P = 0.002) were significantly higher. Multivariate regression analysis demonstrated that the CF was an independent predictor for 30-day (hazard ratio (HR) 1.65, 95% confidence interval (CI) 1.39-1.96, P < 0.001) and 90-day (HR 1.66, 95% CI 1.42-1.95, P < 0.001) readmission after the major lower extremity amputation, but not for mortality (HR 0.83, 95% CI 0.56-1.23, P = 0.36).

CONCLUSIONS

CF after major lower extremity amputation is associated with higher readmission rate, LOS, and hospital charge. Collaboration of care providers to maintain continuity of care for peripheral vascular disease patients may enhance quality of care and reduce health care cost.

Clinical and financial outcomes of transplant recipients following emergency general surgery operations

Introduction

Due to immunosuppression and underlying comorbidities, transplant recipients represent a vulnerable population following emergency general surgery (EGS) operations. The present study sought to evaluate clinical and financial outcomes of transplant patients undergoing EGS.

Methods

The 2010-2020 Nationwide Readmissions Database was queried for adults (≥18 years) with non-elective EGS. Operations included bowel resection, perforated ulcer repair, cholecystectomy, appendectomy and lysis of adhesions. Patients were classified by transplant history (Non-transplant, Kidney/Pancreas, Liver, Heart/Lung). The primary outcome was in-hospital mortality while perioperative complications, resource utilization and readmissions were secondarily considered. Multivariable regression models evaluated the association of transplant status on outcomes. Entropy balancing was employed to obtain a weighted comparison to adjust for intergroup differences.

Results

Of 7,914,815 patients undergoing EGS, 25,278 (0.32 %) had prior transplantation. The incidence of transplant patients increased temporally (2010: 0.23 %, 2020: 0.36 %, p < 0.001) with Kidney/Pancreas comprising the largest proportion (63.5 %). Non-transplant more frequently underwent appendectomy and cholecystectomy while transplant patients more commonly received bowel resections. Following entropy balancing, Liver was associated with decreased odds of mortality (AOR: 0.67, 95 % CI: 0.54-0.83, Reference: Non-transplant). Incremental hospitalization duration was longer in Liver and Heart/Lung compared to Non-transplant. Odds of acute kidney injury, readmissions and costs were higher in all transplant types.

Conclusion

The incidence of transplant recipients undergoing EGS operations has increased. Liver was observed to have lower mortality compared to Non-transplant. Transplant recipient status, regardless of organ, was associated with greater resource utilization and non-elective readmissions. Multidisciplinary care coordination is warranted to mitigate outcomes in this high-risk population.

Failure to Rescue in Emergency General Surgery: Impact of Fragmentation of Care

OBJECTIVE

Compare EGS patient outcomes after index and nonindex hospital readmissions, and explore predictive factors for nonindex readmission.

BACKGROUND

Readmission to a different hospital leads to fragmentation of care. The impact of nonindex readmission on patient outcomes after EGS is not well established.

METHODS

The Nationwide Readmissions Database (2017) was queried for adult patients readmitted after an EGS procedure. Patients were stratified and propensity-matched according to readmission destination: index versus nonindex hospital. Outcomes were failure to rescue (FTR), mortality, number of subsequent readmissions, overall hospital length of stay, and total costs. Hierarchical logistic regression was performed to account for clustering effect within hospitals and adjusting for patient- and hospital-level potential confounding factors.

RESULTS

A total of 471,570 EGS patients were identified, of which 79,127 (16.8%) were readmitted within 30 days: index hospital (61,472; 77.7%) versus nonindex hospital (17,655; 22.3%). After 1:1 propensity matching, patients with nonindex readmission had higher rates of FTR (5.6% vs 4.3%; P < 0.001), mortality (2.7% vs 2.1%; P < 0.001), and overall hospital costs [in $1000; 37 (27-64) vs 28 (21-48); P < 0.001]. Nonindex readmission was independently associated with higher odds of FTR [adjusted odds ratio 1.18 (1.03-1.36); P < 0.001]. Predictors of nonindex readmission included top quartile for zip code median household income [1.35 (1.08-1.69); P < 0.001], fringe county residence [1.08 (1.01-1.16); P = 0.049], discharge to a skilled nursing facility [1.28 (1.20-1.36); P < 0.001], and leaving against medical advice [2.32 (1.81-2.98); P < 0.001].

CONCLUSION

One in 5 readmissions after EGS occur at a different hospital. Nonindex readmission carries a heightened risk of FTR.

LEVEL OF EVIDENCE

Level III Prognostic.

STUDY TYPE

Prognostic.

Factors associated with follow-up outside a transplant center among pediatric kidney transplant recipients

BACKGROUND

Transfer of follow-up care after pediatric kidney transplantation (KTx) may jeopardize quality of care and patient outcomes. We sought to determine if minority status and socioeconomic factors were associated with increased likelihood of follow-up outside a transplant center, and whether this transition of care was associated with worse long-term graft and patient survival.

METHODS

We performed an analysis of the United Network for Organ Sharing database, including children age < 18 years who received a kidney transplant between 2003 and 2018. Survival analysis (conditional on survival with functioning graft to 1 year) was performed using a Cox proportional hazards model where transfer of care (place of follow-up recorded as any setting other than a transplant center) was entered as a time-varying covariate.

RESULTS

The study included 10,293, of whom 2083 received care outside of a transplant center during follow-up. Medicare coverage, but not minority race/ethnicity or socioeconomic status, was associated with increased likelihood of follow-up outside a transplant center. Follow-up outside a transplant center was associated with a 10% increased hazard of death or graft failure (hazard ratio: 1.10; 95% confidence interval: 1.004, 1.21; p = 0.041).

CONCLUSION

Follow-up outside of a transplant center increased risk of poor outcomes, though the likelihood of receiving care outside a transplant center did not vary by race/ethnicity or socioeconomic status. Our results highlight the need to improve continuity of care after KTx and to further understand the mechanisms leading to poor survival rates among minority populations. A higher resolution version of the Graphical abstract is available as Supplementary information.

Perioperative outcomes and readmissions following cardiac operations in kidney transplant recipients

OBJECTIVE

Although kidney transplant (KTx) recipients are at significant risk for cardiovascular disease, outcomes following cardiac operations have been examined in limited series. The present study thus aimed to assess the impact of KTx on in-hospital perioperative outcomes and readmissions in a nationally representative cohort.

METHODS

All adults undergoing elective coronary artery bypass grafting, valve repair/replacement or a combination thereof were identified from the 2010-2018 Nationwide Readmissions Database. Patients were stratified by history of KTx. Transplant-capable centres were defined as hospitals performing at least one KTx annually. To perform risk-adjustment in assessing outcomes, multivariable regression models were developed.

RESULTS

Of an estimated 1 407 351 patients included for analysis, 0.2% (n=2849) were KTx recipients. Compared with the general cardiac surgical population, patients with prior KTx experienced higher adjusted odds of in-hospital mortality (adjusted OR (AOR) 2.44, 95% CI 1.72 to 3.47, p<0.001) and perioperative complication (AOR 1.67, 95% CI 1.44 to 1.94, p<0.001). Additionally, KTx was independently associated with greater readmission rates within 30 days (AOR 1.96, 95% CI 1.65 to 2.34, p<0.001) with kidney injury contributing significantly to the burden of rehospitalisation (4.6 vs 1.8%, p=0.005). In a subpopulation comprised of only KTx recipients, treatment at a transplant-capable centre reduced odds of kidney injury with non-transplant hospitals as reference (AOR 0.65, 95% CI 0.43 to 0.98, p=0.037).

CONCLUSIONS

Kidney transplant recipients undergoing cardiac operations encounter significant risks compared with the general surgical population. Referral to transplant-capable centres should be explored to improve outcomes and to preserve allograft function in this population.

Uncontrolled diabetes mellitus increases risk of infection in patients with advanced cirrhosis

BACKGROUND

Diabetes mellitus (DM) is common in patients with cirrhosis and is associated with increased risk of infection.

AIM

To analyze the impact of uncontrolled DM on infection and mortality among inpatients with advanced cirrhosis.

METHODS

This study utilized the Nationwide Inpatient Sample from 1998 to 2014. We defined advanced cirrhosis using a validated ICD-9-CM algorithm requiring a diagnosis of cirrhosis and clinically significant portal hypertension or decompensation. The primary outcome was bacterial infection. Secondary outcomes included inpatient mortality stratified by elderly age (age≥70). Multivariable logistic regression analyzed outcomes.

RESULTS

906,559 (29.2%) patients had DM and 109,694 (12.1%) were uncontrolled. Patients who had uncontrolled DM were younger, had less ascites, but more encephalopathy. Bacterial infection prevalence was more common in uncontrolled DM (34.2% vs. 28.4%, OR 1.33, 95% CI 1.29-1.37, p<0.001). Although uncontrolled DM was not associated with mortality, when stratified by age, elderly patients with uncontrolled DM had a significantly higher risk of inpatient mortality (OR 1.62, 95% CI 1.46-1.81).

CONCLUSIONS

Uncontrolled DM is associated with increased risk of infection, and when combined with elderly age is associated with increased risk of inpatient mortality. Glycemic control is a modifiable target to improve morbidity and mortality in patients with advanced cirrhosis.

Variation in Racial Disparities in Liver Transplant Outcomes Across Transplant Centers in the United States

Little is known about the role that transplant centers may play in perpetuating racial disparities after liver transplantation, which are unexplained by patient-level factors. We examined variation in between-center and within-center disparities among 34,114 Black and White liver transplant recipients in the United States from 2010 to 2017 using Scientific Registry of Transplant Recipient (SRTR) data. We used Cox proportional hazards models to calculate transplant center-specific Black-White hazard ratios and hierarchical survival analysis to examine potential effect modification of the race-survival association by transplant center characteristics, including transplant volume, proportion of Black patients, SRTR quality rating, and region. Models were sequentially adjusted for clinical, socioeconomic, and center characteristics. After adjustment, Black patients experienced 1.11 excess deaths after liver transplant per 100 person-years compared with White patients (95% confidence interval [CI], 0.65-1.56), corresponding to a 21% increased mortality risk (95% CI, 1.12-1.31). Although there was substantial variation in this disparity across transplant centers, there was no evidence of effect modification by transplant center volume, proportion of minority patients seen, quality rating, or region. We found significant racial disparities in survival after transplant, with substantial variation in this disparity across transplant centers that was not explained by selected center characteristics. This is the first study to directly evaluate the role transplant centers play in racial disparities in transplant outcomes. Further assessment of the qualitative factors that may drive disparities, such as selection processes and follow-up care, is needed to create effective center-level interventions to address health inequity.

Contributors to Increased Mortality Associated With Care Fragmentation After Emergency General Surgery

Importance

Care fragmentation at time of readmission after emergency general surgery (EGS) is associated with high mortality; however, the factors underlying this finding remain unclear.

Objective

To identify patient and hospital factors associated with increased mortality among patients after EGS readmitted within 30 days of discharge to a nonindex hospital.

Design, Setting, and Participants

Retrospective cohort study using the 2014 Healthcare Cost and Utilization Project Nationwide Readmissions Database. Participants were all adult patients (18 years or older) who underwent 1 of the 15 most common EGS procedures in the United States from January 1 to November 30, 2014, and survived to discharge. The dates of analysis were October through December 2019.

Exposures

Thirty-day readmission to a hospital other than that of the index surgical procedure. The study examined the association of interventions during readmission, change in hospital resource level, and severity of patient illness during readmission.

Main Outcomes and Measures

Ninety-day inpatient mortality.

Results

In total, 71 944 patients who underwent EGS (mean [SD] age, 59.0 [18.3] years; 53.5% [38 487 of 71 944] female) were readmitted within 30 days of discharge, of whom 10 495 (14.6%) were readmitted to a nonindex hospital. Compared with patients readmitted to index hospitals, patients readmitted to nonindex hospitals were more likely to be readmitted to hospitals with low annual EGS volume (33.5% vs 25.6%, P < .001) and be in the top half of illness severity profile (37.2% vs 31.2%, P < .001). Overall 90-day mortality was higher in the patients readmitted to nonindex hospitals (6.1% vs 4.3%, P < .001). When adjusted for baseline patient and hospital characteristics, care fragmentation was independently associated with increased mortality (adjusted odds ratio [aOR], 1.36; 95% CI, 1.17-1.58; P < .001). After adjustment for interventions performed during readmission, change in EGS hospital volume level, and severity of patient illness, care fragmentation was no longer independently associated with mortality (aOR, 1.05; 95% CI, 0.88-1.26; P = .58). In this complete model, severity of illness was the strongest risk factor of mortality during readmission.

Conclusions and Relevance

In this cohort study of adult patients who require rehospitalization after EGS, 14.6% are readmitted to a hospital other than where the index procedure was performed. Although the overall mortality rate is higher for this population, the excess mortality appears to be primarily associated with severity of patient illness at time of readmission. These data underscore the need to develop systems of care to rapidly triage patients to hospitals best equipped to manage their condition.

Impact of Treatment Coordination on Overall Survival in Rectal Cancer

BACKGROUND

Rectal cancer treatment is often multimodal, comprising of surgery, chemotherapy, and radiotherapy. However, the impact of coordination between these modalities is currently unknown. We aimed to assess whether delivery of nonsurgical therapy within same facility as surgery impacts survival in patients with rectal cancer.

METHODS

A patient cohort with rectal cancer stages II to IV who received multimodal treatment between 2004 and 2016 from National Cancer Database was retrospectively analyzed. Patients were categorized into three groups: (A) surgery + chemotherapy + radiotherapy at same facility (surgery + 2); (B) surgery + chemotherapy or radiotherapy at same facility (surgery + 1); or (C) only surgery at reporting facility (chemotherapy + radiotherapy elsewhere; surgery + 0). The primary outcome was 5-year overall survival (OS), analyzed using Kaplan-Meier curves, log-rank tests, and Cox proportional-hazards models.

RESULTS

A total of 44,716 patients (16,985 [37.98%] surgery + 2, 12,317 [27.54%] surgery + 1, and 15,414 [34.47%] surgery + 0) were included. In univariate analysis, we observed that surgery+2 patients had significantly greater 5-year OS compared to surgery + 1 or surgery + 0 patients (5-year OS: 63.46% vs 62.50% vs 61.41%, respectively; P= .002). We observed similar results in multivariable Cox proportional-hazards analysis, with surgery + 0 group demonstrating increased hazard of mortality when compared to surgery + 2 group (HR: 1.09; P< .001). These results held true after stratification by stage for stage II (HR 1.10; P= .022) and stage III (HR 1.12; P< .001) but not for stage IV (P= .474).

CONCLUSION

Greater degree of care coordination within the same facility is associated with greater OS in patients with stage II to III rectal cancer. This finding illustrates the importance of interdisciplinary collaboration in multimodal rectal cancer therapy.

Different Hospital Readmissions and Outcomes of Acute Pancreatitis

OBJECTIVES

Although acute pancreatitis (AP) is associated with recurrent hospitalizations, the impact of different hospital readmissions (DHR) versus same hospital readmissions (SHR) on outcomes is unknown. We study the burden of DHR among readmissions after survival from AP hospitalizations.

METHODS

Among adult AP patients (Nationwide Readmissions Database), we calculated the prevalence, trends, and predictors of DHR, and its impact on mortality, hospital stay, and charges during 30- and 90-day readmissions.

RESULTS

From 2010 to 2014, 15% and 26% of AP hospitalizations (422,950) were readmitted in 30 and 90 days, respectively. The DHR rates were similar (26.3%, 30 days; 26.4%, 90 days) and unchanged from 2010 to 2014 (Ptrends > 0.10). The predictors of DHR were similar during both readmissions and included younger age category (18-45 years), hospital characteristics (nonteaching, small bed size, nonmicropolitan/metropolitan areas), substance abuse, comorbidities, and nonreception of cholecystectomy and pancreatectomy during index hospitalizations.During readmissions (30 and 90 days), DHR was associated with adjusted odds ratio (95% confidence interval), higher mortality (1.40 [1.19-1.64] and 1.50 [1.32-1.71]), longer hospital stay (1.3 days [1.1-1.7 days] and 1.1 days [0.9-1.3 days]), and higher charges (US $16,779 [US $13,898-US $20,254] and US $14,299 [US $12,299-US $16,623]).

CONCLUSIONS

Targeted measures are needed toward patients at risk for DHR to curb the poor outcomes.

Patient Outcomes Following Interhospital Care Fragmentation: A Systematic Review

INTRODUCTION

Interhospital fragmentation of care occurs when patients are admitted to different, disconnected hospitals. It has been hypothesized that this type of care fragmentation decreases the quality of care received and increases hospital costs and healthcare utilization. This systematic review aims to synthesize the existing literature exploring the association between interhospital fragmentation of care and patient outcomes.

METHODS

MEDLINE, the Cochrane Library, EMBASE, and the Science Citation Index were systematically searched for studies published up to April 30, 2018 reporting the association between interhospital fragmentation of care and patient outcomes. We included peer-reviewed observational studies conducted in adults that reported measures of association between interhospital care fragmentation and one or more of the following patient outcomes: mortality, hospital length of stay, cost, and subsequent hospital readmission.

RESULTS

Seventy-nine full texts were reviewed and 22 met inclusion criteria. Nearly all studies defined fragmentation of care as a readmission to a different hospital than the patient was previously discharged from. The strongest association reported was that between a fragmented readmission and in-hospital or short-term mortality (adjusted odds ratio range 0.95-3.62). Over half of the studies reporting length-of-stay showed longer length of stay in fragmented readmissions. All three studies that investigated healthcare utilization suggested an association between fragmented care and odds of subsequent readmission. The study populations and exposures were too heterogenous to perform a meta-analysis.

DISCUSSION

Our review suggests that fragmented hospital readmissions contribute to increased mortality, longer length-of-stay, and increased risk of readmission to the hospital.

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.

Thirty-Day Nonindex Readmissions and Clinical Outcomes After Cardiac Surgery

BACKGROUND

With increasing emphasis on readmissions as an important quality metric, there is an interest in regionalization of care to high-volume centers. As a result, care of readmitted cardiac surgery patients may be fragmented if readmission occurs at a nonindex hospital. This study characterizes the frequency, risk factors, and outcomes of nonindex hospital readmission after cardiac surgery.

METHODS

In this multicenter, population-based, nationally representative sample, we used weighted 2010-2015 National Readmission Database claims to identify all US adult patients who underwent 2 of the major cardiac surgeries, isolated coronary artery bypass grafting (CABG) or isolated surgical aortic valve replacement (SAVR), during their initial hospitalization. We examined characteristics, predictors, and outcomes after nonindex readmission.

RESULTS

Overall, 1,070,073 procedures were included (844,206 CABG and 225,866 SAVR). Readmission at 30 days was 12.8% for CABG and 14.5% for SAVR. Nonindex readmissions accounted for 23% and 26% at 30 days; these were primarily noncardiac in etiology. The proportion of nonindex readmissions did not change significantly from 2010 to 2015. For CABG and SAVR, in-hospital mortality (adjusted odds ratios of 1.26 and 1.37, respectively) and major complications (odds ratios of 1.17 and 1.25, respectively) were significantly higher during nonindex versus index readmission, even after adjusting for patient risk profile, case mix, and hospital characteristics. Older age, higher income, and increased comorbidity burden were all independent predictors of nonindex readmission.

CONCLUSIONS

A considerable proportion of patients readmitted after cardiac surgery are readmitted to nonindex hospitals. This fragmentation of care may account for worse outcomes associated with nonindex readmissions in this complex population.

Complete Impact of Care Fragmentation on Readmissions Following Urgent Abdominal Operations

BACKGROUND

Urgent abdominal operations commonly occurred in low-volume hospitals with high failure-to-rescue rates. Recent studies have demonstrated a survival benefit associated with readmission to the original hospital after operation, presumably due to improved continuity of care. It is unclear if this survival benefit persists in low-volume hospitals. We seek to evaluate differences in mortality between readmission to the original hospital and a higher-volume hospital after urgent abdominal operations.

METHODS

A retrospective cohort study using the National Readmissions Database from 2010 to 2014 was performed. Propensity score-weighted multilevel regression analysis was used to examine the association between readmission destination and mortality after accounting for hospital volume.

RESULTS

A total of 71,551 adult patients who experienced 30-day readmission following urgent abdominal operations were identified, among whom 10,368 (14.5%) were readmitted to a different hospital. Patients with higher baseline comorbidity scores, lower income, less comprehensive insurance coverage, systemic complications, prolonged length of stay, or non-home disposition were more likely to experience readmission to a different hospital. Following stratification by readmission hospital volume and propensity score weighting to adjust for baseline mortality risk differences, readmission to a different hospital is still associated with higher mortality rates than the original hospital.

CONCLUSIONS

The adverse outcomes associated with case fragmentation are present even after adjusting for readmission hospital volume. Patients who received urgent abdominal operations at low-volume hospitals should return to the original hospital for concern of care fragmentation.

Index versus Non-index Readmission After Hepato-Pancreato-Biliary Surgery: Where Do Patients Go to Be Readmitted?

INTRODUCTION

The Center for Medicare and Medicaid Services (CMS) has identified readmission as an important quality metric. With an increased emphasis on regionalization of complex hepato-pancreato-biliary (HPB) surgery to high-volume centers, care of readmitted HPB patients may be fragmented if readmission occurs at a non-index hospital. We sought to define the proportion of HPB readmissions, as well as evaluate outcomes, that occur at an index versus non-index hospitals and to identify factors associated with non-index hospital readmission.

METHODS

The National Readmissions Database (NRD) was used to identify patients who underwent major HPB surgery between 2010 and 2015. Factors associated with readmission at 30 and 90 days at index versus non-index hospitals were analyzed. Differences in mortality and complications were analyzed among patients readmitted to index versus non-index hospitals.

RESULTS

A total of 49,080 patients underwent HPB surgery (liver n = 27,081, 55%; pancreas n = 14,787, 30%; biliary n = 7212, 15%). Overall, 6643 (14%) and 11,709 (24%) patients were readmitted within 30 and 90 days, respectively. Among all first readmissions, 18 and 21% were to a non-index hospital within the first 30 and 90 days, respectively. On multivariable analysis, factors associated with readmission to a non-index hospital included age (OR 1.19, 95% CI 1.05, 1.34), pancreatic cancer (OR 1.40, 95% CI 1.14, 1.34) and ≥ 3 comorbidities (OR 1.34, 95% CI 1.10, 1.63), while procedures on the pancreas (OR 0.69, 95% CI 0.61, 0.80), private insurance (OR 0.77, 95% CI 0.68, 0.87), initial admission at a large hospital (OR 0.77, 95% CI 0.65, 0.91), and initial admission length of stay > 7 days (OR 0.77, 95% CI 0.69, 0.86) were associated with decreased odds of a non-index hospital readmission (all p < 0.05). Patients readmitted to a non-index hospital had higher inpatient mortality (3.7 vs. 2.7%, p = 0.010).

CONCLUSIONS

Roughly 1 in 5 patients were readmitted to a non-index hospital where the initial HPB operation had not taken place. Readmission to a non-index hospital was associated with higher overall in-hospital mortality. The impact of regionalization of HPB care relative to site of subsequent readmission may have important implications for patients.

Same- vs Different-Hospital Readmissions in Patients With Cirrhosis After Hospital Discharge

INTRODUCTION

There is a lack of data on the impact of readmission to the same vs a different hospital following an index hospital discharge in cirrhosis patients.

METHODS

We sought to describe rates and predictors of different-hospital readmissions (DHRs) among patients with cirrhosis and also determine the impact on cirrhosis outcomes including all-cause inpatient mortality and hospital costs. Using the national readmissions database, we identified cirrhosis hospitalizations in 2013. Regression analysis was used to determine the predictors of DHRs. A time-to-event analysis was performed to assess the impact on subsequent readmissions and all-cause inpatient mortality.

RESULTS

In 2013, there were 109,039 cirrhosis readmissions with 67% of these being same-hospital readmissions and 33% being DHRs (P < 0.001). Two percent of readmitted patients were treated at ≥4 different hospitals. The 30-day readmission rate was 29.1%. Predictors of DHR included Medicaid payer (adjusted odds ratio [OR] 1.07, 95% confidence interval [95% CI] 1.01-1.14), age (OR 0.98, 95% CI 0.978-0.982), elective admission (OR 1.09, 95% CI 1.01-1.17), hepatic encephalopathy (OR 1.20, 95% CI 1.16-1.25), hepatorenal syndrome (OR 1.09, 95% CI 1.03-1.16), and low socioeconomic status (OR 1.15, 95% CI 1.06-1.25). No difference was observed in 30-day readmission risk following a DHR (adjusted hazard ratio 1.044, 95% CI 0.975-1.118). In addition, there was no increased risk of inpatient death observed during a DHR within 30 days (adjusted hazard ratio 1.08, 95% CI 0.94-1.23). However, patients with DHR had significantly higher hospital costs and length of stay.

CONCLUSIONS

Majority of cirrhosis readmissions are same-hospital readmissions. Different-hospital readmissions do not increase the risk of 30-day readmissions and inpatient mortality but are associated with higher hospital costs.

Fragmented Care is Prevalent Among Inflammatory Bowel Disease Readmissions and is Associated With Worse Outcomes

OBJECTIVES

Inflammatory bowel disease (IBD) is a complex chronic disease that often requires a multispeciality approach; thus, IBD patients are prone to care fragmentation. We aim to determine the prevalence of fragmentation among hospitalized IBD patients and identify associated predictors and visit-level outcomes.

METHODS

The State Inpatient Databases for New York and Florida were used to identify 90-day readmissions among IBD inpatients from 2009 to 2013. The prevalence of fragmentation, defined as a readmission to a non-index hospital, was reported. Characteristics associated with fragmented care were identified using multivariable logistic regression. Multivariable models were utilized to determine the association between fragmentation and outcomes (in-hospital mortality, readmission length of stay, and inpatient colonoscopy).

RESULTS

Among IBD inpatients, 25,241 and 29,033 90-day readmission visits were identified, in New York and Florida, respectively. The prevalence of fragmentation was 26.4% in New York and 32.5% in Florida. Younger age, a non-emergent admission type, public payer or uninsured status, mood disorder, and substance abuse were associated with fragmented care, while female gender and a primary diagnosis of an IBD-related complication had an inverse association. Fragmented inpatient care is associated with a higher likelihood of in-hospital death, higher rates of inpatient colonoscopy, and a longer readmission length of stay.

CONCLUSIONS

Over one in four IBD inpatient readmissions are fragmented. Disparities and differences in fragmentation exist and contribute to poor patient outcomes. Additional efforts targeting fragmentation should be made to better coordinate IBD management, reduce healthcare gaps, and promote high-value care.

Noteworthy Literature published in 2017 for Abdominal Organ Transplantation

In 2017, we identified more than 400 peer reviewed publications on the topic of pancreas transplantation, more than 500 on intestinal transplantation, more than 4000 on renal transplantation, and more than 4700 on liver transplantation. This annual review highlights the most pertinent literature for anesthesiologists and critical care physicians caring for patients undergoing abdominal organ transplantation. We explore a wide range of topics, including risk for and prediction of perioperative complications, recommendations on perioperative management, economic analyses, and education of the trainees in abdominal transplantation anesthesia and critical care.

Characterization of Potentially Unsafe Ambulatory Antibiotic Use and Associated Outcomes in an Adult Kidney Transplant Population

BACKGROUND

Antibiotics are frequently prescribed to kidney transplant (KTX) recipients in the outpatient setting, but there are limited data assessing the safety and outcomes associated with this practice.

OBJECTIVE

The primary objective of this study was to describe ambulatory antibiotic prescribing in a large cohort of adult KTX recipients. The secondary objective was to assess the outcomes associated with potentially unsafe antibiotic use in this population.

METHODS

National Veterans Health Administration data compiled between 2001 and 2010 were used to conduct a pharmacovigilance assessment of antibiotic prescribing, excluding intravenous agents, antifungals, antivirals, and prophylactic regimens. Multivariable Cox proportional hazard regression was used to determine the impact of safe and potentially unsafe antibiotic use on time to event for graft loss.

RESULTS

Among 5130 KTX recipients and 30 127 patient-years of follow-up, 14 259 antibiotic courses were prescribed at a rate of 0.47 courses per patient-year. Transplant or nephrology providers prescribed 24.8% of courses. Overall, 608 courses (4.3%) in 311 patients (6.1%) were considered potentially unsafe for dosages in disagreement with recommended adjustments for renal function, interaction with immunosuppressive regimens, and other pertinent safety concerns. After adjusting for baseline characteristics, unsafe antibiotic use was associated with a 40% higher risk of graft loss (adjusted hazard ratio = 1.40; 95% CI = 1.03-1.89; P = 0.030) compared with safe use.

CONCLUSIONS AND RELEVANCE

Although unsafe antibiotic prescribing was uncommon, it was associated with increased risk of graft loss. Prospective research is needed to elucidate whether the driver of poor outcomes is the safety of the antibiotic prescription or fragmented care.