Effects of a hospital discharge clinic among people with HIV: Lack of early follow-up is associated with 30-day hospital readmission and decreased retention in care.

BACKGROUND: The transition between inpatient and outpatient care for hospitalized people with HIV represents an opportunity for linkage and re-engagement in care. We evaluated whether attendance at a post-hospitalization visit ('discharge clinic') within 1-2 weeks of discharge would reduce readmissions and improve retention in care (RIC) among people with HIV in San Diego, California, USA. METHODS: This was a retrospective cohort study of people with HIV hospitalized between June 2020 and November 2021. Our primary outcome was 30-day readmissions among people with HIV who did or did not attend a discharge clinic visit. Secondary outcomes included the effect of discharge clinic attendance on RIC, along with the impact of attendance at any HIV clinic visit within 30 days of discharge on readmissions and RIC. RESULTS: We evaluated 114 people with HIV, of whom 77 (67.5%) and 90 (78.9%) attended a discharge clinic visit or any HIV clinic visit within 30 days of discharge, respectively. Active substance use disorder (SUD) was associated with failing to attend a discharge clinic visit (odds ratio 0.31; 95% confidence interval 0.13-0.77). We observed no significant differences in readmissions between people with HIV who did or did not attend a discharge clinic visit; however, the former had significantly higher 6-month RIC (79.2% vs. 35.1%, p < 0.001). People with HIV attending any HIV clinic visit within 30 days of discharge had significantly fewer 30-day readmissions (8.9% vs. 29.2%, p = 0.02) and better 6-month RIC (75.6% vs. 25%, p < 0.001) than those who did not attend. CONCLUSION: Early hospital follow-up care was associated with a reduction in readmissions among people with HIV. Active SUD was a significant barrier to linkage to outpatient follow-up and RIC.

Examining Heart Failure Outcomes Amid Housing Insecurity.

BACKGROUND: How housing insecurity might affect patients with heart failure (HF) is not well characterized. Housing insecurity increases risks related to both communicable and noncommunicable diseases. For patients with HF, housing insecurity is likely to increase the risk for worse outcomes and rehospitalizations. METHODS AND RESULTS: We analyzed hospitalizations due to HF in the United States by using the 2020 National Inpatient Sample and Nationwide Readmissions Database to evaluate the impacts of housing insecurity on HF outcomes and hospital use. Individuals were identified as having housing insecurity by using diagnostic International Classification of Disease (ICD)-10 codes. Demographics and comorbidities were compared between patients with HF with and without housing insecurity. An adjusted logistic regression was performed to evaluate the relationships between housing insecurity and socioeconomic status on in-hospital mortality. Using a Cox proportional hazards model, patients with HF and without housing insecurity were evaluated for the risk of all-cause and HF-specific readmissions over time. Of the 1,003,270 hospitalizations for HF in the U.S. in 2020, 16,150 were identified as having housing insecurity (1.6%), and 987,120 were identified as having no housing insecurity (98.4%). The median age of patients with housing insecurity who were hospitalized for HF was 57, as compared to 73 in the population with no housing insecurity. A higher proportion of patients in the housing-insecurity group were Black (35% vs 20.1%) or Hispanic (11.1% vs 7.3%). Patients with housing insecurity were more likely to carry a diagnosis of alcohol-use disorder (15.2% vs 3.3%) or substance-use disorder (70.2% vs 17.8%) but were less likely to use tobacco (18.3% vs 28.7%). Patients with housing insecurity were over 4.5 times more likely to have Medicaid (52.4% vs 11.3%). Median length of stay did not differ between patients with housing insecurity vs those without it. Patients with housing insecurity were more likely to discharge against medical advice (11.4% vs 2.03%). After adjusting for patients' characteristics, housing insecurity was associated with lower in-hospital mortality rates (OR 0.60, 95% CI 0.39-0.92). Housing insecurity was associated with a higher risk of all-cause readmissions at 180 days (HR 1.13, 95% CI 1.12-1.14). However, there was no significant difference in the risk of HF-specific readmissions at 180 days (HR 1.07, 95% CI 0.998-1.14) CONCLUSIONS: Patients with HF and housing insecurity have distinct demographic characteristics. They are also more likely to be readmitted after their initial hospitalization when compared to those without housing insecurity. Identifying and addressing specific comorbid conditions for patients with housing insecurity who are hospitalized for HF may allow clinicians to provide more focused care, with the goal of preventing morbidity, mortality and unnecessary readmissions.

Poor Medication Access as a Driver of Excess Heart-Failure Readmissions Among Patients Living in Economically Deprived Neighborhoods.

BACKGROUND: Patients residing in socioeconomically deprived neighborhoods experience higher hospital readmission rates after hospitalization for heart failure (HF). The role of medication access in the excessive readmissions in this group is poorly understood. This study explored patients' perspectives on medication access by individuals living in socioeconomically deprived neighborhoods who had experienced HF readmission. METHODS: We conducted semistructured in-depth interviews with 25 patients (mean age 61 ± 9 years, 96% Black, 40% women) who were readmitted with acute HF at Emory Healthcare hospitals and were living in highly deprived neighborhoods (top decile of the Social Deprivation Index). Qualitative descriptive analyses of the interviews were performed by using a multilevel coding strategy. RESULTS: Most patients (84%) highlighted medications as a driver of HF readmission. Patients' reported reasons for lack of medication access included medication costs (60%), having access to refills only through an emergency department or hospitalization (36%), limited access to transportation (12%), and limited understanding of medications' role in disease management (12%). CONCLUSION: Lack of access to medications for patients with HF who live in socioeconomically distressed neighborhoods exacerbate excess hospitalizations in this vulnerable population. This study focuses on patients' perspectives and experiences and identifies some potentially high-value areas to focus on in trying to enhance access and adherence to evidence-based therapies.

Including socioeconomic status reduces readmission penalties to safety-net hospitals.

OBJECTIVE: Medicare's Hospital Readmissions Reduction Program (HRRP) financially penalizes "excessive" postoperative readmissions. Concerned with creating a double standard for institutions treating a high percentage of economically vulnerable patients, Medicare elected to exclude socioeconomic status (SES) from its risk-adjustment model. However, recent evidence suggests that safety-net hospitals (SNHs) caring for many low-SES patients are disproportionately penalized under the HRRP. We sought to simulate the impact of including SES-sensitive models on HRRP penalties for hospitals performing lower extremity revascularization (LER). METHODS: This is a retrospective, cross-sectional analysis of national data on Medicare patients undergoing open or endovascular LER procedures between 2007 and 2009. We used hierarchical logistic regression to generate hospital risk-standardized 30-day readmission rates under Medicare's current model (adjusting for age, sex, comorbidities, and procedure type) compared with models that also adjust for SES. We estimated the likelihood of a penalty and penalty size for SNHs compared with non-SNHs under the current Medicare model and these SES-sensitive models. RESULTS: Our study population comprised 1708 hospitals performing 284,724 LER operations with an overall unadjusted readmission rate of 14.4% (standard deviation: 5.3%). Compared with the Centers for Medicare and Medicaid Services model, adjusting for SES would not change the proportion of SNHs penalized for excess readmissions (55.1% vs 53.4%, P = .101) but would reduce penalty amounts for 38% of SNHs compared with only 17% of non-SNHs, P < .001. CONCLUSIONS: For LER, changing national Medicare policy to including SES in readmission risk-adjustment models would reduce penalty amounts to SNHs, especially for those that are also teaching institutions. Making further strides toward reducing the national disparity between SNHs and non-SHNs on readmissions, performance measures require strategies beyond simply altering the risk-adjustment model to include SES.

Can Timely Outpatient Visits Reduce Readmissions and Mortality Among Heart Failure Patients?

BACKGROUND: Outpatient follow-up after a hospital discharge may reduce the risk of readmissions, but existing evidence has methodological limitations. OBJECTIVES: To assess effect of outpatient follow-up within 7, 14, 21 and 30 days of a hospital discharge on 30-day unplanned readmissions or mortality among heart failure (HF) patients; and whether this varies for patients with different clinical complexities. DESIGN: We analyzed medical records between January 2016 and December 2021 from a prospective cohort study. Using time varying mixed effects parametric survival models, we examined the association between not having an outpatient follow-up and risk of adverse events. We used interaction models to assess if the effect of outpatient follow-up visit on outcomes varies with patients' clinical complexity (comorbidities, grip strength, cognitive impairment and length of inpatient stay). PARTICIPANTS: Two hundred and forty-one patients with advanced HF. MAIN MEASURES: 30-day all-cause (or cardiac) adverse event defined as all cause (or cardiac) unplanned readmissions or death within 30 days of an unplanned all-cause (or cardiac) admission or emergency department visit. KEY RESULTS: We analyzed 1595 all-cause admissions, inclusive of 1266 cardiac admissions. Not having an outpatient follow-up (vs having an outpatient follow-up) significantly increased the risk of 30-day all-cause adverse event. (risk [95% CI] - 14 days: 35.1 [84.5,-1.1]; 21 days: 43.9 [48.2,6.7]; 30 days: 31.1 [48.5, 7.9]) The risk (at 21 days) was higher for those with one co-morbidity (0.25 [0.11,0.58]), mild (0.67 [0.45, 1.00]) and moderate cognitive impairment (0.38 [0.17, 0.84]), normal grip strength (0.57 [0.34, 0.96]) and length of inpatient stay 7-13 days (0.45 [0.23, 0.89]). CONCLUSION: Outpatient follow-up within 30 days after a hospital discharge reduced risk of 30-day adverse events among HF patients, the benefit varying according to clinical complexity. Results suggest the need to prioritize patients who benefit from outpatient follow-up for these visits.

A personalized protocol for prescribing opioids after cesarean delivery: leveraging the electronic medical record to reduce outpatient opioid prescriptions.

BACKGROUND: Although cesarean delivery is the most common surgery performed in the United States, prescribing practices for analgesia vary. Strategies to manage postpartum pain have mostly focused on the immediate postpartum period when patients are still admitted to the hospital. At discharge, most providers prescribe a fixed number of opioid tablets. Most patients do not use all the opioids that they are prescribed at hospital discharge. This leads to an excess of opioids in the community, which can ultimately lead to misuse and diversion. OBJECTIVE: This study aimed to determine whether a transition from universal opioid prescribing to a personalized, patient-specific protocol decreases morphine milligram equivalents prescribed at hospital discharge after cesarean delivery while adequately controlling pain. STUDY DESIGN: This was a prospective cohort study of patients undergoing cesarean delivery before and after the implementation of a personalized opioid-prescribing practice at the time of hospital discharge. Each patient was prescribed scheduled ibuprofen and acetaminophen, with a prescription for oxycodone tablets equal to 5 times the morphine milligram equivalents used in the 24 hours before discharge, calculated via an electronic order set. The previous traditional cohorts were routinely prescribed 30 tablets of acetaminophen-codeine 300/30 mg. The primary outcome was morphine milligram equivalents prescribed at discharge. A hotline to address pain control issues after discharge was established, and calls, emergency department visits, and readmissions were examined. Statistical analyses was performed using chi-square and Wilcoxon rank-sum test, with a P value of <.05 considered statistically significant. RESULTS: Overall, 412 patients underwent cesarean delivery in the 6 weeks after initiation of the personalized prescribing protocol and were compared with 367 patients before the change. The median morphine milligram equivalents prescribed at discharge was lower with personalized prescribing (37.5 [interquartile range, 0-75] vs 135 [interquartile range, 135-135]; P<.001). Moreover, 176 patients (43%) were not prescribed opioids at discharge, which was a substantial change as all 367 patients in the traditional cohort received opioids at discharge (P<.001). Of note, 9 hotline phone calls were received; none required additional opioids after a 24-hour trial of scheduled ibuprofen, which none had taken before the call. In addition, 11 patients (2.7%) presented to the emergency department for pain evaluation, of which none required readmission or an outpatient prescription of opioids. CONCLUSION: A personalized protocol for opioid prescriptions after cesarean delivery decreased the total morphine milligram equivalents and the number of opioid tablets at discharge, without hospital readmissions or need for rescue opioid prescriptions after discharge. Opioids released into our community will be reduced by more than 90,000 tablets per year, without demonstrable adverse effect.

Association Between Alcohol Use Disorder and Hospital Readmission Rates and Outcomes in Cancer Survivors: A Population Cohort Study.

BACKGROUND: Alcohol use disorder (AUD) is the most common substance use disorder and is characterized by heavy alcohol use and the inability to control drinking. This study sought to compare the rate, timing, length, and total costs of hospital readmissions among cancer survivors with and without AUD. METHODS: We used the Nationwide Readmissions Database in 2017 and 2018 in this cohort study. Cancer survivors with an AUD diagnosis during their index hospitalization were included in the exposure group. Propensity score matching was used to identify cancer survivors without AUD for the control group. The primary outcome was all-cause readmission, and secondary outcomes included days to, length of, and total cost of readmission. Outcomes were measured after 90 and 180 days of follow-up. Logistic regression was used to measure the likelihood of readmission, and negative binomial regression and gamma regression were used for the other outcomes. RESULTS: Of 485,962 cancer survivors, 13,953 (2.9%) had co-occurring AUD. Cancer survivors with AUD had slightly higher odds of 90-day (odds ratio, 1.14; 95% CI, 1.06-1.22) and 180-day (odds ratio, 1.11; 95% CI, 1.05-1.18) readmission compared with those without AUD. Cancer survivors with AUD who were readmitted after 90 days also had higher readmission costs ($3,785 vs $3,376; P=.03). No differences in time to and length of readmission were observed between groups. The odds of readmission were higher among cancer survivors with AUD irrespective of age and type of cancer. Male, but not female, cancer survivors with AUD were more likely than those without AUD to be readmitted in both follow-up periods. CONCLUSIONS: This population-based cohort study of cancer survivors in the United States found that AUD is associated with higher 90- and 180-day readmission rates and higher related health care costs after 90 days of follow-up. Hospitalized cancer survivors with AUD may benefit from addiction treatment and discharge planning that addresses their co-occurring AUD.

Neighborhood Socioeconomic Status and Readmission in Acute Type A Aortic Dissection Repair.

INTRODUCTION: We examined the association of socioeconomic status as defined by median household income quartile (MHIQ) with mortality and readmission patterns following open repair of acute type A aortic dissection (ATAAD) in a nationally representative registry. METHODS: Adults who underwent open repair of ATAAD were selected using the US Nationwide Readmissions Database and stratified by MHIQ. Patients were selected based on diagnostic and procedural codes. The primary endpoint was 30-d readmission. RESULTS: Between 2016 and 2019, 10,288 individuals (65% male) underwent open repair for ATAAD. Individuals in the lowest income quartile were younger (median: 60 versus 64, P < 0.05) but had greater Elixhauser comorbidity burden (5.9 versus 5.7, P < 0.05). Across all groups, in-hospital mortality was approximately 15% (P = 0.35). On multivariable analysis adjusting for baseline comorbidity burden, low socioeconomic status was associated with increased readmission at 90 d, but not at 30 d. Concomitant renal disease (odds ratio [OR], 1.68; P < 0.001), pulmonary disease (OR, 1.26; P < 0.001), liver failure (OR 1.2, P = 0.04), and heart failure (OR, 1.17; P < 0.001) were all associated with readmission at 90 d. The primary indication for readmission was most commonly cardiac (33%), infectious (16.5%), and respiratory (9%). CONCLUSIONS: In patients who undergo surgery for ATAAD, lower MHIQ was associated with higher odds of readmission following open repair. While early readmission for individuals living in the lowest income communities is likely attributable to greater baseline comorbidity burden, we observed that 90-d readmission rates are associated with lower MHIQ regardless of comorbidity burden. Further investigation is required to determine which patient-level and system-level interventions are needed to reduce readmissions in the immediate postoperative period for resource poor areas.

Optimizing Guideline-Directed Medical Therapy During Hospitalization Improves Prognosis in Patients With Worsening Heart Failure Requiring Readmissions.

BACKGROUND: We previously demonstrated that higher simple guideline-directed medical therapy (GDMT) scores (comprising renin-angiotensin system inhibitors, ß-blockers, mineralocorticoid antagonists, and sodium-glucose cotransporter 2 inhibitors) at discharge were correlated with improved prognosis in heart failure (HF) patients. HF readmissions are linked to adverse outcomes, emphasizing the need for enhanced optimization of GDMT.Methods and Results: Using the simple GDMT score, we evaluated the effect of revising and modifying in-hospital GDMT on the prognosis of patients with HF readmissions. In this retrospective analysis of 2,100 HF patients, we concentrated on 1,222 patients with HF with reduced ejection/moderately reduced ejection fraction, excluding patients with HF with preserved ejection fraction, on dialysis, or who died in hospital. A higher current GDMT score was associated with better HF prognosis. Of the 1,222 patients in the study, we analyzed 372 cases of rehospitalization, calculating the simple GDMT scores at admission and discharge. Patients were divided into groups according to score improvement. Multivariate analysis showed a significant association between improved in-hospital simple GDMT score and the composite outcome (HF readmission+all-cause mortality; hazard ratio 0.459; 95% confidence interval 0.257-0.820; P=0.008). Even after propensity score matching to adjust for background, among rehospitalized patients, those with an improved in-hospital simple GDMT score had a better prognosis. CONCLUSIONS: Our results highlight the potential of robust interventions and score elevation during hospitalization leading to improved outcomes.

Rapid systematic review of readmissions costs after stroke.

BACKGROUND: Stroke readmissions are considered a marker of health quality and may pose a burden to healthcare systems. However, information on the costs of post-stroke readmissions has not been systematically reviewed. OBJECTIVES: To systematically review information about the costs of hospital readmissions of patients whose primary diagnosis in the index admission was a stroke. METHODS: A rapid systematic review was performed on studies reporting post-stroke readmission costs in EMBASE, MEDLINE, and Web of Science up to June 2021. Relevant data were extracted and presented by readmission and stroke type. The original study's currency values were converted to 2021 US dollars based on the purchasing power parity for gross domestic product. The reporting quality of each of the included studies was assessed using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist. RESULTS: Forty-four studies were identified. Considerable variability in readmission costs was observed among countries, readmissions, stroke types, and durations of the follow-up period. The UK and the USA were the countries reporting the highest readmission costs. In the first year of follow-up, stroke readmission costs accounted for 2.1-23.4%, of direct costs and 3.3-21% of total costs. Among the included studies, only one identified predictors of readmission costs. CONCLUSION: Our review showed great variability in readmission costs, mainly due to differences in study design, countries and health services, follow-up duration, and reported readmission data. The results of this study can be used to inform policymakers and healthcare providers about the burden of stroke readmissions. Future studies should not solely focus on improving data standardization but should also prioritize the identification of stroke readmission cost predictors.

The value of admission avoidance: cost-consequence analysis of one-year activity in a consolidated service.

BACKGROUND: Many advantages of hospital at home (HaH), as a modality of acute care, have been highlighted, but controversies exist regarding the cost-benefit trade-offs. The objective is to assess health outcomes and analytical costs of hospital avoidance (HaH-HA) in a consolidated service with over ten years of delivery of HaH in Barcelona (Spain). METHODS: A retrospective cost-consequence analysis of all first episodes of HaH-HA, directly admitted from the emergency room (ER) in 2017-2018, was carried out with a health system perspective. HaH-HA was compared with a propensity-score-matched group of contemporary patients admitted to conventional hospitalization (Controls). Mortality, re-admissions, ER visits, and direct healthcare costs were evaluated. RESULTS: HaH-HA and Controls (n = 441 each) were comparable in terms of age (73 [SD16] vs. 74 [SD16]), gender (male, 57% vs. 59%), multimorbidity, healthcare expenditure during the previous year, case mix index of the acute episode, and main diagnosis at discharge. HaH-HA presented lower mortality during the episode (0 vs. 19 (4.3%); p < 0.001). At 30 days post-discharge, HaH-HA and Controls showed similar re-admission rates; however, ER visits were lower in HaH-HA than in Controls (28 (6.3%) vs. 34 (8.1%); p = 0.044). Average costs per patient during the episode were lower in the HaH-HA group (€ 1,078) than in Controls (€ 2,171). Likewise, healthcare costs within the 30 days post-discharge were also lower in HaH-Ha than in Controls (p < 0.001). CONCLUSIONS: The study showed higher performance and cost reductions of HaH-HA in a real-world setting. The identification of sources of savings facilitates scaling of hospital avoidance. REGISTRATION: ClinicalTrials.gov (26/04/2017; NCT03130283).

Assessing the quality of public services: For-profits, chains, and concentration in the hospital market.

We examine variation in US hospital quality across ownership, chain membership, and market concentration. We propose a new measure of quality derived from penalties imposed on hospitals under the flagship Hospital Readmissions Reduction Program, and use regression models to risk-adjust for hospital characteristics and county demographics. While the overall association between for-profit ownership and quality is negative, there is evidence of substantial heterogeneity. The quality of for-profit relative to non-profit hospitals declines with increasing market concentration. Moreover, the quality gap is primarily driven by for-profit chains. While the competition result mirrors earlier findings in the literature, the chain result appears to be new: it suggests that any potential quality gains afforded by chains are mostly realized by not-for-profit hospitals.

Intensive Care Admissions and Outcome of Cardiac Arrests; A National Cohort Study From the United States.

OBJECTIVE: Outcomes of cardiac arrest among patients who had cardiopulmonary resuscitation (CPR) in intensive care units (ICU) has limited data on the national level basis in the United States. We aimed to study the outcomes of ICU CPRs. METHODS: Data from the national readmissions database (NRD) sample that constitutes 49.1% of the stratified sample of all hospitals in the United States were analyzed for ICU-related hospitalizations for the years 2016 to 2019. ICU CPR was defined by procedure codes. RESULTS: A total of 4,610,154 ICU encounters were reported for the years 2016 to 2019 in the NRD. Of these patients, 426,729 (9.26%) had CPR procedure recorded during the hospital encounter (mean age 65 ± 17.81; female 42.4%). And 167,597 (39.29%) patients had CPR on the day of admission, of which 63.16% died; while 64,752 (15.18%) patients had CPR on the day of ICU admission, of which 72.85% died. And 36,002 (8.44%) had CPR among patients with length of stay 2 days, of which 73.34% died. A total of 1,222,799 (26.5%) admitted to ICU died, and patients who had ICU CPR had higher mortality, 291,391(68.3%). Higher complication rates were observed among ICU CPR patients, especially who died. Over the years from 2016 to 2019, ICU CPR rates increased from 8.18% (2016) to 8.66% (2019); p-trend = 0.001. The mortality rates among patients admitted to ICU increased from 22.1% (2016) to 24.1% (2019); p-trend = 0.005. CONCLUSION: The majority of ICU CPRs were done on the first day of ICU admission. The trend for ICU CPR was increasing. The mortality trend for overall ICU admissions has increased, which is concerning and would suggest further research to improve the high mortality rates in the CPR group.

Early discharge after enhanced recovery rectal resection does not increase emergency department visits and readmissions: a single institution analysis.

BACKGROUND: Same-day discharge after colectomy in enhanced recovery pathways has been shown to be feasible. It is not clear how early patients with rectal resections may be safely discharged. The study aim was to determine if patients discharged ≤ 3 days after rectal resections are associated with increased rates of emergency department (ED) visits and hospital readmissions. METHODS: Retrospective analysis of enhanced recovery low anterior resection, abdominoperineal resection, and proctocolectomy patients in a prospectively maintained single institution colorectal surgery database from 01/01/2018 to 07/15/2022. Clinic visits were scheduled within 4-7 days and at 30 days after discharge, and every 1-2 weeks for stoma patients until no longer needed. Logistic regression models were used to analyze the association of discharge on postoperative days (POD)-1-3, POD-4-5, and POD ≥ 6 days with incidence of ED visits and readmissions. RESULTS: A total of 118 patients met inclusion criteria, 76 with stomas. Median postoperative length of stay was 5 [IQR 6.5] days. Mean age was 58.6 years; 59.3% were ASA-3; and 69.5% had a minimally invasive surgical approach. ED visits were not significantly different between discharge-day groups (p = 0.096). No patients were discharged same-day, one without a stoma was discharged on POD-1, ten patients (2 with stomas) on POD-2, and twenty-four patients (13 with stomas) on POD-3. ED visits were lowest for the POD-1-3 group (14.3%) but not significantly different than later discharge groups (p = 0.166). Readmission rate was also lowest for the POD-1-3 group (11.4%) and also not significantly different than later discharge groups (p = 0.261) and this was confirmed with logistic regression. Complication rate was lowest in the POD-1-3 group (p < 0.001). CONCLUSION: Early discharge after enhanced recovery partial or complete proctectomy is not associated with increased ED visits and readmissions. Follow up studies should identify post-discharge resources that allow safe early discharge and that may be standardized and generalizable.

Hospital-Level Care at Home for Patients with Cirrhosis.

BACKGROUND: Patients with cirrhosis have a 30-day readmission rate of over 30%. Novel care delivery models are needed to reduce healthcare costs and utilization associated with cirrhosis care. One such model is Home Hospital (HH), which provides inpatient-level care at home. Limited evidence currently exists supporting HH for cirrhosis patients. AIMS: The aims of this study were to characterize patients with cirrhosis who received hospital-level care at home in a two-site clinical trial and to describe the care they received. Secondary aims included describing their outcomes, including adverse events, readmissions and mortality. METHODS: We identified all patients with cirrhosis who enrolled in HH as part of a two-site clinical trial between 2017 and 2022. HH services include daily clinician visits, intravenous and oral medications, continuous vital sign monitoring, and telehealth specialist consultation. We collected sociodemographic data and analyzed HH stays, including interventions, outcomes, adverse events, and follow-up. RESULTS: 22 patients with cirrhosis (45% Hispanic; 50% limited English proficiency, median MELD-Na 12) enrolled in HH during the study period. Interventions included lab chemistries (82%), intravenous medications (77%), specialist consultation (23%), and advanced diagnostics/procedures (23%). The median length of stay was 7 days (IQR 4-12); 186 bed-days were saved. Two patients (9%) experienced adverse events (AKI). No patients required escalation of care; 9% were readmitted within 30 days. CONCLUSIONS: In this two-site study, HH was feasible for patients with cirrhosis, holding promise as a hepatology delivery model. Future randomized trials are needed to further evaluate the efficacy of HH for patients with cirrhosis.

Examining emergency department utilization following bariatric surgery.

BACKGROUND: Emergency department (ED) utilization following surgery is poorly understood and places immense strain on the healthcare system, being responsible for up to $38 billion in wasteful spending annually. The aim of this study was to quantify ED utilization following bariatric procedures to identify causes and areas of improvement. MATERIALS AND METHODS: A retrospective review of a prospectively maintained database was conducted for all patients who underwent metabolic bariatric surgery (MBS) between November 2006 and June 2019. The study includes 4703 patients across 8 hospitals in a single health system. Patients who returned to the ED within 30 and 90 days were analyzed for relation to surgery and preventability. RESULTS: Of the 4703 patients that underwent MBS, 907 (19.3%) visited the ED at least once within 90 days and 350 (7.4%) required hospital readmission. The most common bariatric procedure performed was the Roux-en-Y Gastric Bypass (RYGB) (3716/4703) with an average BMI of 43.8. The median length between discharge and ED visit was 19 days. Under 50% of patients called prior to ED presentation and 61% of these ED visits resulted in discharge. CONCLUSION: While hospital readmissions following MBS have been scrutinized in literature, investigation of ED utilization remains scarce. Our study is one of few to investigate postoperative ED utilization up to 90 days following bariatric intervention. A clear opportunity exists to improve discharge education and early post-discharge communication. This would additionally alleviate burden to allow focus on the acutely ill.

Readmissions Following Endovascular Thoracic and Thoracoabdominal Aortic Repairs in The Vascular Implant Surveillance and Interventional Outcomes Network (VISION).

OBJECTIVES: Investigate readmission rates, diagnoses associated with readmission, and associations with mortality through 90-days post-operatively after elective endovascular thoracic and thoracoabdominal aortic repair overall and by extent of coverage. METHODS: A cohort of index elective non-traumatic endovascular thoracic and thoracoabdominal aortic cases from 2010-2018 was derived from the Vascular Implant Surveillance and Interventional Outcomes Network. Cohort readmissions within 90-days postoperative were examined both overall and by Crawford extent (CE) of aortic coverage. Postoperative mortality was examined by reason for readmission and CE. RESULTS: The cohort consisted of 2,093 patients who underwent endovascular thoracic and thoracoabdominal aortic repair (1,541 CE 0A/0B; 240 CE 1-3; 312 CE 4-5). Cumulative risk for 90-day readmission was 34.3% in CE 0A/0B repairs, 33.4% in CE4-5 repairs and 47.4% in CE 1-3 repairs. Compared to CE 0A/B, patients with CE 1-3 repairs experienced an increased risk of readmission within 90 days postoperatively after adjusting for preoperative factors (aHR 1.27(1.00,1.61) while the readmission risk for CE 4-5 repairs did not differ significantly (aHR 0.83 (0.64,1.06). Significant risk factors for 90-day readmission included COPD, dialysis dependence, limited ambulation, visceral/spinal ischemia, and in-hospital stroke. Discharge to home was protective against readmission (HR 0.65, CI 0.54-0.79). Patients with a readmission within 90-days had a 7.89-fold increase in 90-day mortality (HR 7.84; 5.17, 11.9) compared to those not readmitted. CONCLUSIONS: Increasing extent of endovascular thoracic and thoracoabdominal aortic repair was associated with higher 90-day readmission rates. Readmission for all CE was associated with near 8-fold increased risk of mortality. Risk factors associated with increased risk for readmission included pulmonary insufficiency, renal disease, and poor functional status. These findings can inform stakeholders about investment of resources to improve processes of care that both target prevention and mitigate risk of readmission after elective endovascular thoracic and thoracoabdominal aortic repair.

Unplanned hospital readmissions following HeartMate 3 implantation: Readmission rates, causes, and impact on survival.

BACKGROUND: Hospital readmissions following left ventricular assist device (LVAD) remain a frequent comorbidity, associated with decreased quality of life and increased resources utilization. This study sought to determine causes, predictors, and impact on survival of hospitalizations during HeartMate 3 (HM3) support. METHODS: All patients implanted with HM3 between November 2014 to December 2019 at Columbia University Irving Medical Center were consecutively enrolled in the study. Demographics and clinical characteristics from the index admission and the first outpatient visit were collected and used to estimate 1-year and 900-day readmission-free survival and overall survival. Multivariable analysis was performed for subsequent readmissions. RESULTS: Of 182 patients who received a HM3 LVAD, 167 (92%) were discharged after index admission and experienced 407 unplanned readmissions over the median follow up of 727 (interquartile range (IQR): 410.5, 1124.5) days. One-year and 900-day mean cumulative number of all-cause unplanned readmissions was 0.43 (95%CI, 0.36, 0.51) and 1.13 (95%CI, 0.99, 1.29). The most frequent causes of rehospitalizations included major infections (29.3%), bleeding (13.2%), device-related (12.5%), volume overload (7.1%), and other (28%). One-year and 900-day survival free from all-cause readmission was 38% (95%CI, 31-46%) and 16.6% (95%CI, 10.3-24.4%). One-year and 900-day freedom from 2, 3, and ≥4 readmissions were 60.7%, 74%, 74.5% and 26.2%, 33.3%, 41.3%. One-year and 900-day survival were unaffected by the number of readmissions and remained >90%. Male sex, ischemic etiology, diabetes, lower serum creatinine, longer duration of index hospitalization, and a history of readmission between discharge and the first outpatient visit were associated with subsequent readmissions. CONCLUSIONS: Unplanned hospital readmissions after HM3 are common, with infections and bleeding accounting for the majority of readmissions. Irrespective of the number of readmissions, one-year survival remained unaffected.

Pre-operative pectoralis muscle area index is associated with biomarkers of inflammation and endotoxemia and predicts clinical outcomes after left ventricular assist device implantation: A cohort study.

BACKGROUND: Pre-left ventricular assist device (LVAD) pectoralis muscle assessment, an estimate of sarcopenia, has been associated with postoperative mortality and gastrointestinal bleeding, though its association with inflammation, endotoxemia, length-of-stay (LOS), and readmissions remains underexplored. METHODS: This was a single-center cohort study of LVAD patients implanted 1/2015-10/2018. Preoperative pectoralis muscle area was measured on chest computed tomography (CT), adjusted for height squared to derive pectoralis muscle area index (PMI). Those with PMI in the lowest quintile were defined as low-PMI cohort; all others constituted the reference cohort. Biomarkers of inflammation (interleukin-6, adiponectin, tumor necrosis factor-α [TNFα]) and endotoxemia (soluble (s)CD14) were measured in a subset of patients. RESULTS: Of the 254 LVAD patients, 95 had a preoperative chest CT (median days pre-LVAD: 7 [IQR 3-13]), of whom 19 (20.0%) were in the low-PMI cohort and the remainder were in the reference cohort. Compared with the reference cohort, the low-PMI cohort had higher levels of sCD14 (2594 vs. 1850 ng/mL; p = 0.04) and TNFα (2.9 vs. 1.9 pg/mL; p = 0.03). In adjusted analyses, the low-PMI cohort had longer LOS (incidence rate ratio 1.56 [95% confidence interval 1.16-2.10], p = 0.004) and higher risk of 90-day and 1-year readmissions (subhazard ratio 5.48 [1.88-16.0], p = 0.002; hazard ratio 1.73 [1.02-2.94]; p = 0.04, respectively). CONCLUSIONS: Pre-LVAD PMI is associated with inflammation, endotoxemia, and increased LOS and readmissions.

Recent temporal trends, characteristics and outcomes of patients with non-COVID-19 community-acquired pneumonia at two tertiary hospitals in Australia: an observational study.

BACKGROUND: Community-acquired pneumonia (CAP) leads to considerable morbidity and mortality globally. However, data on CAP burden in Australia, especially during the coronavirus disease 2019 (COVID-19) pandemic, are limited. AIMS: We characterised and assessed clinical outcomes of non-COVID-19 CAP hospitalisations over a 6-year period at two major hospitals in South Australia. METHODS: All non-COVID-19 CAP hospitalisations were identified using the International Statistical Classification of Diseases and Related Health Problems, Tenth revision, Australian modification (ICD-10-AM) codes, between 1 January 2018 and 31 December 2023, at two tertiary hospitals in Adelaide. Clinical outcomes included in-hospital and 30-day mortality, length of stay (LOS) in, intensive care unit (ICU) admission and 30-day readmissions. Multilevel regression models were utilised to identify predictors of clinical outcomes. RESULTS: Over the 6-year period, there were 7853 non-COVID-19 CAP hospitalisations, with a temporal increase from 100 per 100 000 population in 2018 to 208 per 100 000 population in 2023 (P < 0.001). The mean (SD) age was 75.1 (17.6) years, and 54.6% were males. The mean age declined over time (P < 0.05), while other characteristics remained stable. Streptococcus pneumoniae was the most commonly identified bacterium (21.8% of cases). In-hospital mortality occurred in 7.8% of patients, with 30-day mortality and readmission rates of 14.3% and 16.9% respectively. LOS declined significantly during the pandemic years; however, mortality remained stable over time. Frailty status, malnutrition and number of comorbidities significantly predicted 30-day mortality and LOS, in addition to pneumonia severity and ICU admission. CONCLUSIONS: There has been an increasing trend of hospitalisations for non-COVID-19 CAP during the COVID-19 pandemic, with a concomitant trend towards shorter LOS and no significant shift in other clinical outcomes.