Long-term Hospital Readmissions Research Articles

Prediction of Early and Long-Term Hospital Readmission in Patients with Severe Obesity: A Retrospective Cohort Study.

Adults with obesity have a higher risk of hospitalization and high hospitalization-related healthcare costs. However, a predictive model for the risk of readmission in patients with severe obesity is lacking. We conducted a retrospective cohort study enrolling all patients admitted for severe obesity (BMI ≥ 40 kg/m2) between 2009 and 2018 to the Istituto Auxologico Italiano in Piancavallo. For each patient, all subsequent hospitalizations were identified from the regional database by a deterministic record-linkage procedure. A total of 1136 patients were enrolled and followed up for a median of 5.7 years (IQR: 3.1-8.2). The predictive factors associated with hospital readmission were age (HR = 1.02, 95%CI: 1.01-1.03, p < 0.001), BMI (HR = 1.02, 95%CI: 1.01-1.03, p = 0.001), smoking habit (HR = 1.17, 95%CI: 0.99-1.38, p = 0.060), serum creatinine (HR = 1.22, 95%CI: 1.04-1.44, p = 0.016), diabetes (HR = 1.17, 95%CI: 1.00-1.36, p = 0.045), and number of admissions in the previous two years (HR = 1.15, 95%CI: 1.07-1.23, p < 0.001). BMI lost its predictive role when restricting the analysis to readmissions within 90 days. BMI and diabetes lost their predictive roles when further restricting the analysis to readmissions within 30 days. In conclusion, in this study, we identified predictive variables associated with early and long-term hospital readmission in patients with severe obesity. Whether addressing modifiable risk factors could improve the outcome remains to be established.

Long-Term Hospital Readmission after ST-Elevation Myocardial Infarction: A 3-Year Follow-up from the SEMI-CI Study.

This study aimed to investigate readmission risk factors after ST-elevation myocardial infarction (STEMI) during a 3-year follow-up. This study is a secondary analysis of the STEMI Cohort Study (SEMI-CI) in Isfahan, Iran, with 867 patients. A trained nurse gathered the demographic, medical history, laboratory, and clinical data at discharge. Then the patients were followed up annually for 3 years by telephone and invitation for in-person visits with a cardiologist concerning readmission status. Cardiovascular readmission was defined as MI, unstable angina, stent thrombosis, stroke, and heart failure. Adjusted and unadjusted binary logistic regression analyses were applied. Of 773 patients with complete information, 234 patients (30.27%) experienced 3-year readmission. The mean age of the patients was 60.92±12.77 years, and 705 patients (81.3%) were males. The unadjusted results showed that smokers were 21% more likely to be readmitted than nonsmokers (OR, 1.21; P=0.015). Readmitted patients had a 26% lower shock index (OR, 0.26; P=0.047), and ejection fraction had a conservative effect (OR, 0.97; P<0.05). The creatinine level was 68% higher in patients with readmission. An adjusted model based on age and sex showed that the creatinine level (OR, 1.73), the shock index (OR, 0.26), heart failure (OR, 1.78), and ejection fraction (OR, 0.97) were significantly different between the 2 groups. Patients at risk of readmission should be identified and carefully visited by specialists to help improve timely treatment and reduce readmissions. Therefore, it is recommended to pay special attention to factors affecting readmission in the routine visits of STEMI patients.

Utilization and outcomes of postcardiotomy mechanical circulatory support.

This study evaluated the utilization and outcomes of postcardiotomy mechanical circulatory support (MCS). This was a retrospective, single institution analysis of adult cardiac surgery cases that required de novo MCS following surgery from 2011 to 2018. Patients that were bridged with MCS to surgery were excluded. The primary outcomes were early operative mortality and longitudinal survival. Secondary outcomes included postoperative complications, and 5-year all-cause readmission. Five hundred and thirty-three patients required de novo postcardiotomy MCS, with the most commonly performed procedure being isolated coronary artery bypass grafting (29.8%). Median cardiopulmonary bypass and cross-clamp times were 185 (IQR 123-260) minand 122 (IQR 81-179) min, respectively. A total of 442 (82.9%) of patients were supported with intra-aortic balloon pump counterpulsation, 23 (4.3%) with an Impella device, and 115 (21.6%) with extracorporeal membrane oxygenation. Three (0.6%) patients had an unplanned ventricular assist device placed. Operative mortality was 29.8%. Longitudinal survival was 56.1% and 43.0% at 1and 5 years, respectively. Survival was lowest in those supported with ECMO and highest with those supported with an Impella (p < 0.001). Freedom from readmission was 61.4% at 5 years. Postoperative ECMO was an independent predictor of mortality (HR 5.1, 95% CI 2.0-12.9, p < 0.001), but none of the MCS types predicted long-term hospital readmission after risk adjustment. Postcardiotomy MCS is associated with high operative mortality. Even patients that survive to discharge have compromised longitudinal survival, with nearly only half surviving to 1 year. Close follow-up and early referral to advanced heart failure specialists may be prudent in improving these outcomes.

Thirty-day Hospital Readmissions Following Cardiac Surgery are Associated With Mortality and Subsequent Readmission

The aim of the current study was to assess the impact of hospital readmissions within 30-days of discharge, on long-term postoperative outcomes. All patients who underwent cardiac surgery from 2011 - 2018 were included. Patients who had transcatheter procedures, VAD, and transplant were excluded. Inverse probability of treatment weighting (IPTW) propensity scoring was used for population risk adjustment. Multivariable analysis was performed to identify association with long-term mortality and readmission. The total risk adjusted (propensity scoring with IPTW) patient population consisted of 14,538 patients divided into those who were not readmitted in 30-days (nonreadmitted) (n = 12,627) and patients who were readmitted within 30-days (30-day readmitted) (n = 1911). Following IPTW, all baseline characteristics and postoperative complications were equivalent between cohorts (SMD <0.10). Patients who required intraoperative [OR 1.178 (1.05, 1.32); P = 0.006] and postoperative [1.32 (1.18, 1.48); P < 0.001] blood transfusions were at greater risk for 30-day readmission. Median follow-up period was 4.19 years (2.45 - 6.10). The 30-day readmission cohort had a significantly higher mortality risk during early (6 months) follow-up [HR 2.49 (2.01-3.10); P < 0.001] and late (60 months) follow-up [HR 1.30 (1.16-1.47); P < 0.001]. After risk adjustment, the 30-day readmission cohort was significantly associated with increased mortality over the study follow-up period [HR 1.62 (1.48, 1.78); P < 0.001]. 30-day readmissions were an independent predictor of subsequent long-term hospital readmission [HR 1.61 (1.50, 1.73); P < 0.001]. Patients who require 30-day readmissions following cardiac surgery are at increased risk of long-term mortality and repeat readmissions. Early postoperative hospital readmission may be a marker for worse long-term outcomes in cardiac surgery.

Effect of medicines management versus standard care on readmissions in multimorbid patients: a randomised controlled trial

ObjectiveTo investigate the effect of pharmacist-led medicines management in multimorbid, hospitalised patients on long-term hospital readmissions and survival.DesignParallel-group, randomised controlled trial.SettingRecruitment from an internal medicine hospital ward in Oslo, Norway....

The effectiveness of intermediate care including transitional care interventions on function, healthcare utilisation and costs: a scoping review.

Intermediate care describes services, including transitional care, that support the needs of middle-aged and older adults during care transitions and between different settings. This scoping review aimed to examine the effectiveness of intermediate care including transitional care interventions for middle-aged and older adults on function, healthcare utilisation, and costs. A scoping review of the literature was conducted including studies published between 2002 and 2019 with a transitional care and/or intermediate care intervention for adults aged ≥ 50. Searches were performed in CINAHL, Cochrane Library, EMBASE, Open Grey and PubMed databases. Qualitative and quantitative approaches were employed for data synthesis. In all, 133 studies were included. Interventions were grouped under four models of care: (a) Hospital-based transitional care (n = 8), (b)Transitional care delivered at discharge and up to 30days after discharge (n = 70), (c) Intermediate care at home (n = 41), and (d)Intermediate care delivered in a community hospital, care home or post-acute facility (n = 14). While these models were associated with a reduced hospital stay, this was not universal. Intermediate including transitional care services combined with telephone follow-up and coaching support were reported to reduce short and long-term hospital re-admissions. Evidence for improved ADLfunction was strongest for intermediate care delivered by an interdisciplinary team with rehabilitation at home. Study design and types of interventions were markedly heterogenous, limiting comparability. Although many studies report that intermediate care including transitional care models reduce hospital utilisation, results were mixed. There is limited evidence for the effectiveness of these services on function, institutionalisation, emergency department attendances, or on cost-effectiveness.

Coronary Artery Bypass Grafting vs Percutaneous Coronary Intervention in Patients With Diabetes

As percutaneous coronary intervention (PCI) continues to evolve, comparative outcomes for PCI vs coronary artery bypass grafting (CABG) remain relevant in diabetic patients. All revascularization procedures in patients with coronary artery disease and diabetes mellitus from 2010 to 2018 were included. Propensity matching was used to identify equivalent cohorts to compare revascularization strategies. Primary outcomes included 30-day, 1-year, and 5-year mortality. Multivariable analysis was used to define factors associated with major adverse cardiovascular and cerebrovascular events (MACCE). A total of 2869 patients with diabetes were divided into PCI (n = 653) and CABG (n = 2216) cohorts. Propensity matching yielded a 1:1 match consisting of 552 patients in each cohort (CABG vs PCI). Total median follow-up was 3.28 years (range: 1.83-5.00). Following propensity matching in patients with no prior PCI (1:1; n = 279), mortality remained significantly higher in the PCI cohort at 1 year (13.98% vs 7.53%; P = 0.014) and 5 years (26.88% vs 16.85%; P < 0.004). Hospital readmissions were higher for PCI patients at 1 year (16.49% vs 9.32%; P < 0.0122) and 5 years (19.71% vs 11.83%; P = 0.011). MACCE occurred more frequently in the PCI cohort (32.97% vs 21.51%; P = 0.002). Need for subsequent revascularization (6.45% vs 2.51%; P = 0.024) were significantly higher in the PCI cohort, and time interval to revascularization was significantly longer in the CABG cohort (3.48 [2.11-5.17] vs 2.62 [1.33-4.25] years; P < 0.001). The current study reports improved survival, fewer long-term hospital readmissions, and reduced MACCE and need for repeat revascularization in the CABG cohort. Given these data, patients with diabetes mellitus and coronary artery disease may fare better with surgical revascularization, compared to PCI.

Predictive Factors of the Risk of Long-Term Hospital Readmission after Primary Prostate Surgery at a Single Tertiary Referral Center: Preliminary Report

Objective: To evaluate the predictors of the risk of long-term hospital readmission after radical prostatectomy (RP) in a single tertiary referral center where both open RP (ORP) and robot assisted RP (RARP) are performed. Materials and Methods: The risk of readmission was evaluated by clinical, pathological, and perioperative factors. Skilled and experienced surgeons performed the 2 surgical approaches. Patients were followed for complications and hospital readmission for a period of 6 months. The association of factors with the risk of readmission was assessed by Cox’s multivariate proportional hazards. Results: From December 2013 to 2017, 885 patients underwent RP. RARP was performed in 733 cases and ORP in 152 subjects. Extended pelvic lymph node dissection (ePLND) was performed in 479 patients. Hospital readmission was detected in 46 cases (5.2%). Using a multivariate model, independent factors associated with the risk of hospital readmission were seminal vesicle invasion (hazard ratio [HR] 2.065; 95% CI 1.116–3.283; p = 0.021), ORP (HR 3.506; 95% CI 1.919–6.405; p < 0.0001), and ePLND (HR 5.172; 95% CI 1.778–15.053; p < 0.0001). Conclusions: In a large single tertiary referral center, independent predictors of the risk of long-term hospital readmission after RP included ORP, ePLND, and seminal vesicle invasion. When surgery is chosen as a primary treatment of PCA, patients should be informed of the risk of long-term hospital readmission and its related risk factors.

Long-term Hospital Readmissions After Surgical Vs Transcatheter Aortic Valve Replacement

Limited data exist for rates and causes of readmission beyond short-term follow-up for patients undergoing surgical and transcatheter aortic valve replacement (SAVR and TAVR) METHODS: Patients undergoing isolated SAVR and TAVR between 2011 and 2017 at our institution were included in this study. The primary outcome was 5-year hospital readmission. The readmission cohort was identified from index readmission. Multivariable logistic regression analysis was used to evaluate the risk-adjusted impact of TAVR vs SAVR on outcomes. A total of 2379 patients were included: 1034 TAVR (43.5%) and 1345 SAVR (56.5%). Patients undergoing TAVR were on average older (81.8 ± 7.8 years vs 69.1 ± 11.85 years, P < .0001) and had more comorbidities than SAVR patients as represented by a greater Society of Thoracic Surgeons Predicted Risk of Mortality (7.96% ± 4.71% vs 2.73% ± 2.93%, P < .0001). Operative mortality was higher in the TAVR cohort (3.19% vs 1.12%, P < .004) and remained high at 5 years despite risk adjustment. Significantly more cardiac readmissions were found at 5-year follow-up in the TAVR group (73.3% vs 60.0%, P < .0001). Heart failure was the most common cause of cardiac readmission in the TAVR cohort (58.7% vs 42.1%, P= .0001). No difference was found in overall readmission risk at 30 days (hazard ratio [HR] 1.23, 95% confidence interval [CI]: 0.94 to 1.61, P= .12), 1 year (HR 0.93, 95% CI: 0.77 to 1.16, P= .52), and 5 years (HR 0.99, 95% CI: 0.83 to 1.18, P= .89). There is a disproportionately high rate of long-term hospital readmissions for cardiac causes, including heart failure, in patients who underwent TAVR. These data may support aggressive medical management of patients with careful follow-up in patients undergoing TAVR.

Effect of cardiac rehabilitation on 24-month all-cause hospital readmissions: A prospective cohort study.

Ageing populations and increasing survival following acute coronary syndrome has resulted in large numbers of people living with cardiovascular disease and at high risk of hospitalizations. Rising hospital admissions have a significant financial cost to the healthcare system. The purpose of this study was to determine whether cardiac rehabilitation is protective against long-term hospital readmission (frequency and length) following acute coronary syndrome. Data from 416 Australian patients with acute coronary syndrome enrolled in the Anxiety Depression and heart rate Variability in cardiac patients: Evaluating the impact of Negative emotions on functioning after Twenty four months (ADVENT) prospective cohort study between January 2013-June 2014 was analyzed secondarily. Participants self-reported cardiac rehabilitation attendance over the 12 months post-discharge. All-cause readmission data were extracted from hospital records 24 months post-index event. The association between cardiac rehabilitation and all-cause readmission, frequency of readmissions, and length of stay was assessed using three methods (a) regression analysis, (b) propensity score matching, and (c) inverse probability treatment weighting. Overall, 416 patients consented (53% of eligible patients), of which 414 (99.5%) survived the first 30 days post-discharge and were included in the analysis. Medical records were located for 409 participants after 24 months (98% follow-up rate). In total, 267 (65%) reported attending cardiac rehabilitation; there were 392 readmissions by 239 patients. Cardiac rehabilitation attendance was not associated with all-cause hospital readmission; however, it was associated with lower frequency of hospital admissions (odds ratio 0.53, 95% confidence interval: 0.31-0.91 p-value:0.022) and length of stay (coefficient -1.21 days, 95% confidence interval: -2.46-0.26; marginally significant p-value: 0.055) in adjusted models. This study substantiates the long-term benefits of cardiac rehabilitation on readmissions, including length of stay, which would result in lower costs to the healthcare system.

Prevalence, causes and risk factors of hospital readmissions after acute stroke and transient ischemic attack: a systematic review and meta-analysis.

Acute stroke and transient ischemic attack (TIA) is a great burden not only during hospitalization but also after hospital discharge. The objective of this meta-analysis was to evaluate the hospital readmissions, causes and risk factors after survival of acute stroke and TIA. Pubmed, Web of Science, Cochrane Library, OVID and EMBASE databases were searched to identify studies reporting hospital readmissions after acute stroke and TIA. The primary outcomes were hospital readmission rates during 30 days and 1 year after discharge. The primary causes and risk factors of hospital readmissions were also identified. Ten studies with 253,680 patients were eligible for inclusion. The pooled 30-day and 1-year hospital readmission rates were 17.4% (95% CI, 12.7-23.5%) and 42.5% (95% CI, 34.1-51.3%), respectively. The three major causes of 30-day hospital readmissions were infection (19.9%), coronary artery disease (CAD) (17.8%) and recurrent stroke (16.0%) successively, while the three major causes were recurrent stroke (19.4%), infection (19.3%) and CAD (16.3%) during 1 year's follow-up. There were more patients with CAD in readmits group than that in control group (p=0.030). The length of index admission, defined as any eligible admission to an acute care hospital assessed in the measure for the outcome, was longer (p=0.000) and admission National Institutes of Health Stroke Score (NIHSS) was higher (p=0.002) in readmits group than these in control group. In conclusion, there is high risk of early and long-term hospital readmissions after survival of acute stroke and TIA. These patients with coronary artery disease, longer length of index admission and higher NIHSS deserve deep attention after hospital discharge.

Short-term and long-term effectiveness of a post-hospital care transitions program in an older, medically complex population

BackgroundCare transition programs can potentially reduce 30 day readmission; however, the effect on long-term hospital readmissions is still unclear. ObjectiveWe compared short-term (30 day) and long-term (180 day) utilization of participants enrolled in care transitions versus those matched referents eligible but not enrolled. DesignThis cohort study was conducted from January 1, 2011 until June 30, 2013 within a primary care academic practice. ParticipantsPatients at high risk for hospital readmission based on age and comorbid health conditions had participated in care transitions group (cases) or usual care (referent). Main measuresThe primary outcomes were 30, 90, and 180 day hospital readmissions.. Secondary outcomes included: mortality; emergency room visits and days; combined rehospitalizations and emergency room visits; and total intensive care unit days. Cox proportional hazard models using propensity score matching were used to assess rehospitalization, emergency room visits and mortality. Poisson regression models were used to compare the numbers of hospital days. Key resultsCompared to referent (n=365), Mayo Clinic Care Transitions patients exhibited a lower 30 day rehospitalization rate compared to referent; 12.4% (95% CI 8.9–15.7) versus 20.1% (95% CI 15.8–24.1%), respectively (P=0.002). At 180-days, there was no difference in rehospitalization between transitions and referent; 39.9% (95% CI 34.6–44.9%) versus 44.8% (95% CI 39.4–49.8%), (P=0.07). ConclusionWe observed a reduction in 30 day rehospitalization rates among those enrolled in care transitions compared to referent. However, this effect was not sustained at 180 days. More work is needed to identify how the intervention can be sustained beyond 30 days.

Patterns and Predictors of Hospital Readmission in Taiwan.

PHP118 Patterns and Predictors of HosPital readmission in taiwan Cheng J.S.1, Ku H.P.1, Chang C.J.2 1Chang Gung University, Tao-Yuan, Taiwan, 2Chang Gung University, Kwei Shan, Tao Yuan, Taiwan Objectives: Hospital readmissions have been an important issue, as they reflect suboptimal quality of medical care and incur high health care expenditures. However, limited information is available on the patterns of hospital readmission in the entire population to support a thorough planning to prevent hospital readmissions. Therefore, this study aimed to examine the patterns and economic burden of hospital readmission in Taiwan, and identify predictors of hospital readmissions. MethOds: This study used the National Health Insurance Research Database of enrollees randomly selected from those enrolled in the National Health Insurance program in 2005. Individuals who were admitted to acute hospitals in 2005 were selected and their readmission patterns one-year after discharge were examined. Cox proportional hazards regression model was adopted to identify predictors of hospital readmission. Results: The 30-day, 6-month and one-year readmission rates were 11%, 25%, and 34%, respectively. During the one-year follow-up, 52% of total health care expenditures were due to hospital readmissions. Of those who were readmitted to hospitals, 56% were readmitted once and took up 29% of the cost of rehospitalization. However, those readmitted for more than three times (5%) accounted for 30% of the cost. The major disease category of the highest 30-day and one-year readmission rates was neoplasms. The disease of the highest 30-day and one-year readmission rates were cancer of bronchus and lung (36%) and cancer of liver and intrahepatic bile duct (74%), respectively, and the most frequent reason for readmission was the disease itself. Age, gender, place of residence, previous hospitalization history, comorbidities, and length of stay of the index hospitalization were risk factors of hospital readmissions. cOnclusiOns: This study identified diseases of higher short-term and long-term readmission rates, causes of shortterm and long-term hospital readmissions, and predictors of hospital readmission. The information is of importance for planning interventions to reduce hospital readmission rate.