Risk analysis for readmission after coronary artery bypass surgery: developing a strategy to reduce readmissions

Construction and evaluation of a 180-day readmission prediction model for chronic heart failure patients based on sCD40L

The high readmission rate of patients with chronic heart failure (HF) can cause waste of medical resources and economic losses. Establishing an effective HF readmission model can effectively alleviate medical pressure and improve the quality of treatment. In this study, we conducted a comprehensive analysis of clinical and laboratory data from 248 patients with chronic HF who received treatment at our medical center between January 2021 to January 2022. We also measured soluble CD40 ligand (sCD40L) levels to determine their association with readmission due to HF during follow-up. To analyze the data, we employed various statistical methods including one-way ANOVA, correlation analysis, univariate COX regression, and Least Absolute Shrinkage and Selection Operator COX regression. Using these techniques, we organized the data and constructed a predictive model that was both trained and validated. We developed a nomogram to assess the likelihood of readmission within 180 days for patients with chronic HF. Our findings revealed that monocytes, creatinine, sCD40L, and hypertension history were all independent risk factors for 180-day HF readmissions. Additionally, our model's AUC was 0.731 in the training dataset and 0.704 in the validation dataset. This study provides new insights for predicting readmission within 180 days for patients with chronic HF. And sCD40L is an important predictive indicator for readmission of HF patients within 180 days, and clinical doctors can develop appropriate treatment plans based on sCD40L.

Case Management in Prevention of 30-Day Readmission in Post-Coronary Artery Bypass Graft Surgery

PURPOSE OF STUDY

Thirty-day readmission is associated with increased morbidity and mortality among postoperative coronary artery bypass graft (CABG) surgery patients. Interventions such as case management and follow-up care may reduce 30-day readmission. The purpose of this article is to report a study on modifiable factors that may have significant implications for case management in the prevention of readmission after CABG surgery.

PRIMARY PRACTICE SETTINGS

The study population included all the adult patients who underwent first-time CABG surgery from January 1, 2013, to January 1, 2016, from a Mid-South hospital.

METHODOLOGY AND SAMPLE

A retrospective case-control study was employed to examine 1,712 patients who underwent CABG surgery.

RESULTS

The results revealed that patients readmitted within 30 days had a significantly shorter length of stay (LOS) (6 days vs. 10 days; p < .0001), more days in intensive care unit (6 days vs. 4 days; p = .0391), and significantly higher diabetes/renal (4% vs. 1%), infection (17% vs. 2%), and respiratory-related diagnoses (10% vs. 1%; p < .0001).

IMPLICATIONS FOR CASE MANAGEMENT PRACTICE

Among these factors, hospital LOS is a major factor that can be addressed through case management in addition to other modifiable risk factors. Understanding modifiable factors associated with higher readmission risk is crucial for effective intervention and case management planning.

Incidence, Predictors, and Impact of Hospital Readmission After Revascularization for Left Main Coronary Disease

BACKGROUND

The frequency of and relationship between hospital readmissions and outcomes after revascularization for left main coronary artery disease (LMCAD) are unknown.

OBJECTIVES

The purpose of this study was to study the incidence, predictors, and clinical impact of readmissions following percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) for LMCAD.

METHODS

In the EXCEL (XIENCE Versus Coronary Artery Bypass Surgery for Effectiveness of Left Main Revascularization) trial, 1,905 patients with LMCAD were randomized to PCI vs CABG. The cumulative incidence of readmissions was analyzed with multivariable Anderson-Gill and joint frailty models to account for recurrent events and the competing risk of death. The impact of readmission on subsequent mortality within 5-year follow-up was determined in a time-adjusted Cox proportional hazards model.

RESULTS

Within 5 years, 1,868 readmissions occurred in 851 of 1,882 (45.2%) hospital survivors (2.2 ± 1.9 per patient with readmission[s], range 1-16), approximately one-half for cardiovascular causes and one-half for noncardiovascular causes (927 [49.6%] and 941 [50.4%], respectively). One or more readmissions occurred in 463 of 942 (48.6%) PCI patients vs 388 of 940 (41.8%) CABG patients (P = 0.003). After multivariable adjustment, PCI remained an independent predictor of readmission (adjusted HR: 1.22; 95% CI: 1.10-1.35; P < 0.0001), along with female sex, comorbidities, and the extent of CAD. Readmission was independently associated with subsequent all-cause death, with interaction testing indicating a higher risk after PCI than CABG (adjusted HR: 5.72; 95% CI: 3.42-9.55 vs adjusted HR: 2.72; 95% CI: 1.64-4.88, respectively; Pint = 0.03).

CONCLUSIONS

In the EXCEL trial, readmissions during 5-year follow-up after revascularization for LMCAD were common and more frequent after PCI than CABG. Readmissions were associated with an increased risk of all-cause death, more so after PCI than with CABG.

Cost-Effectiveness and Budget Impact of a Novel Antithrombotic Drug Removal System to Reduce Bleeding Risk in Patients on Preoperative Ticagrelor Undergoing Cardiac Surgery

BACKGROUND

Antithrombotic drugs, including the P2Y₁₂ inhibitor ticagrelor, increase the risk of perioperative bleeding in patients requiring urgent cardiac surgery. Perioperative bleeding can lead to increased mortality and prolong intensive care unit and hospital stays. A novel sorbent-filled hemoperfusion cartridge that intraoperatively removes ticagrelor via hemoadsorption can reduce the risk of perioperative bleeding. We estimated the cost-effectiveness and budget impact of using this device versus standard practices to reduce the risk of perioperative bleeding during and after coronary artery bypass grafting from the US healthcare sector perspective.

METHODS

We used a Markov model to analyze the cost-effectiveness and budget impact of the hemoadsorption device in three cohorts: (1) surgery within 1 day from last ticagrelor dose; (2) surgery between 1 and 2 days from last ticagrelor dose; and (3) a combined cohort. The model analyzed costs and quality-adjusted life years (QALYs). Results were interpreted as both incremental cost-effectiveness ratios and net monetary benefits (NMBs) at a cost-effectiveness threshold of $100,000/QALY. We analyzed parameter uncertainty using deterministic and probabilistic sensitivity analyses.

RESULTS

The hemoadsorption device was dominant for each cohort. Patients with less than 1 day of washout in the device arm gained 0.017 QALYs at a savings of $1748 (USD), for an NMB of $3434. In patients with 1-2 days of washout, the device arm yielded 0.014 QALYs and a cost savings of $151, for an NMB of $1575. In the combined cohort, device gained 0.016 QALYs and a savings of $950 for an NMB of $2505. Per-member-per-month cost savings associated with device was estimated to be $0.02 for a one-million-member health plan.

CONCLUSION

This model found the hemoadsorption device to provide better clinical and economic outcomes compared with the standard of care in patients who required surgery within 2 days of ticagrelor discontinuation. Given the increasing use of ticagrelor in patients with acute coronary syndrome, incorporating this novel device may represent an important part of any bundle to save costs and reduce harm.

Derivation and validation of predictive indices for cardiac readmission after coronary and valvular surgery - A multicenter study

Objective

To derive and validate models to predict the risk of a cardiac readmission within one year after specific cardiac surgeries using information that is commonly available from hospital electronic medical records.

Methods

In this retrospective cohort study, we derived and externally validated clinical models to predict the likelihood of cardiac readmissions within one-year of isolated CABG, AVR, and combined CABG+AVR in Ontario, Canada, using multiple clinical registries and routinely collected administrative databases. For all adult patients who underwent these procedures, multiple Fine and Gray subdistribution hazard models were derived within a competing-risk framework using the cohort from April 2015 to March 2018 and validated in an independent cohort (April 2018 to March 2020).

Results

For the model that predicted post-CABG cardiac readmission, the c-statistic was 0.73 in the derivation cohort and 0.70 in the validation cohort at one-year. For the model that predicted post-AVR cardiac readmission, the c-statistic was 0.74 in the derivation and 0.73 in the validation cohort at one-year. For the model that predicted cardiac readmission following CABG+AVR, the c-statistic was 0.70 in the derivation and 0.66 in the validation cohort at one-year.

Conclusions

Prediction of one-year cardiac readmission for isolated CABG, AVR, and combined CABG+AVR can be achieved parsimoniously using multidimensional data sources. Model discrimination was better than existing models derived from single and multicenter registries.

Barriers to Successful Discharge After Cardiac Surgery: A Focus Group Study and Cross-Sectional Survey

At present, there is a lack of information on patient and caregiver values, and perceived priorities and barriers, to guide successful post-discharge recovery. This was a single center, multiple methods study that investigated patient, caregiver, and health care provider perceptions of the discharge process after cardiac surgery. Themes emerging from focus group discussions with patients and caregivers were used to develop surveys relating to values, barriers, and challenges relating to the discharge process. Thirty-two patients (n = 16) and caregivers (n = 16) participated in four separate focus groups. Four themes emerged from these discussions: (1) a lack of understanding about what the discharge process entails and when discharge is appropriate, (2) issues relating to the information provided to patients at the time of discharge, (3) participant experiences with the health care system, and (4) the experiences of caregivers. Seventy-eight patients, 34 caregivers, 53 nurses and/or other allied health professionals, and 8 surgeons completed the cross-sectional surveys. The most important component of the discharge process for patients and caregivers was "knowing what to do in an emergency." Health care providers less accurately identified what caregivers perceived as the most important aspects of the discharge process.Statements relating to informational barriers to discharge were the most discordant among patient and caregiver respondents. After discharge, patients and caregivers identified the need for longer-term follow up with the surgeon and more support in the community. Incorporation of patient and caregiver values to guide the post-cardiac surgery discharge process is essential to promote successful recovery.

Development and validation of an interpretable machine learning scoring tool for estimating time to emergency readmissions

BACKGROUND

Emergency readmission poses an additional burden on both patients and healthcare systems. Risk stratification is the first step of transitional care interventions targeted at reducing readmission. To accurately predict the short- and intermediate-term risks of readmission and provide information for further temporal risk stratification, we developed and validated an interpretable machine learning risk scoring system.

METHODS

In this retrospective study, all emergency admission episodes from January 1st 2009 to December 31st 2016 at a tertiary hospital in Singapore were assessed. The primary outcome was time to emergency readmission within 90 days post discharge. The Score for Emergency ReAdmission Prediction (SERAP) tool was derived via an interpretable machine learning-based system for time-to-event outcomes. SERAP is six-variable survival score, and takes the number of emergency admissions last year, age, history of malignancy, history of renal diseases, serum creatinine level, and serum albumin level during index admission into consideration.

FINDINGS

A total of 293,589 ED admission episodes were finally included in the whole cohort. Among them, 203,748 episodes were included in the training cohort, 50,937 episodes in the validation cohort, and 38,904 in the testing cohort. Readmission within 90 days was documented in 80,213 (27.3%) episodes, with a median time to emergency readmission of 22 days (Interquartile range: 8-47). For different time points, the readmission rates observed in the whole cohort were 6.7% at 7 days, 10.6% at 14 days, 13.6% at 21 days, 16.4% at 30 days, and 23.0% at 60 days. In the testing cohort, the SERAP achieved an integrated area under the curve of 0.737 (95% confidence interval: 0.730-0.743). For a specific 30-day readmission prediction, SERAP outperformed the LACE index (Length of stay, Acuity of admission, Charlson comorbidity index, and Emergency department visits in past six months) and the HOSPITAL score (Hemoglobin at discharge, discharge from an Oncology service, Sodium level at discharge, Procedure during the index admission, Index Type of admission, number of Admissions during the last 12 months, and Length of stay). Besides 30-day readmission, SERAP can predict readmission rates at any time point during the 90-day period.

INTERPRETATION

Better performance in risk prediction was achieved by the SERAP than other existing scores, and accurate information about time to emergency readmission was generated for further temporal risk stratification and clinical decision-making. In the future, external validation studies are needed to evaluate the SERAP at different settings and assess their real-world performance.

FUNDING

This study was supported by the Singapore National Medical Research Council under the PULSES Center Grant, and Duke-NUS Medical School.

Update: Gender differences in CABG outcomes-Have we bridged the gap?

Background

Appreciation of unique presentation, patterns and underlying pathophysiology of coronary artery disease in women has driven gender based risk stratification and risk reduction efforts over the last decade. Data regarding whether these advances have resulted in unequivocal improvements in outcomes of CABG in women is conflicting. The objective of our study was to assess gender differences in post-operative outcomes following CABG.

Methods

Retrospective analyses of institutional data housed in the Society of Thoracic Surgeons (STS) database for patients undergoing CABG between 2002 and 2020 were conducted. Multivariable regression analysis was conducted to investigate gender differences in post-operative outcomes. P-values were adjusted using Bonferroni correction to reduce type-I errors.

Results

Our final cohort of 6,250 patients had fewer women than men (1,339 vs. 4,911). more women were diabetic (52.0% vs. 41.2%, p<0.001) and hypertensive (89.1% vs. 84.0%, p<0.001). Women had higher adjusted odds of developing ventilator dependence >48 hours (OR: 1.65 [1.21, 2.45], p = 0.002) and cardiac readmissions (OR: 1.56 [1.27, 2.30], p = 0.003). After adjustment for comorbidity burden, mortality rates in women were comparable to those of age-matched men.

Conclusion

The findings of our study indicate that despite apparent reduction of differences in mortality, the burden of postoperative morbidity is still high among women.

Implementing a High Value Care Discharge Protocol in Patients Undergoing CABG Reduces Readmission

BACKGROUND

Readmission after coronary artery bypass grafting (CABG) is associated with adverse outcomes and increased cost. We evaluated the impact of a high value care discharge protocol on readmission, length of stay (LOS) and discharge destination in patients undergoing isolated CABG.

METHODS

In 2016, a comprehensive, patient-centered discharge protocol was implemented. A nurse practitioner was the fulcrum of this program, which focused on improving health literacy, disease management and rigorous follow-up. All patients undergoing isolated CABG between 2012-2019 were retrospectively analyzed with regard to 30-day readmission, LOS, and discharge disposition. Differences were analyzed by Mann-Whitney, chi-squared and t-tests. Analyses were repeated using propensity matching.

RESULTS

A total of 910 consecutive patients undergoing isolated CABG were included in the analyses - 353 pre-protocol and 557 post-protocol. Pre-protocol patients had a readmission rate of 14.4% (n=51), compared to 6.8% (n=38) in the post-protocol patients (p<0.001). Median postoperative LOS prior to implementation was 6 days (interquartile range 5-8) compared to 5 days (interquartile range 4-6) post-implementation (p<0.001). Post-implementation, a higher proportion of patients were discharged to home compared to a skilled nursing facility (82.7% [n=461] vs 73.9% [n=261], p=0.002). Following propensity matching, 298 well-balanced patients were included for analysis and these significant reductions in LOS, readmission and discharge destination persisted.

CONCLUSIONS

Implementation of a new discharge protocol was significantly associated with reduced readmission and LOS, along with higher rates of discharge to home in isolated CABG patients. Importantly, the results were sustainable and did not require additional resources, delivering high value care.

Decreased activities of daily living at discharge predict mortality and readmission in elderly patients after cardiac and aortic surgery: A retrospective cohort study

Recently, activities of daily living (ADL) were identified as a prognostic factor among elderly patients with heart disease; however, a specific association between ADL and prognosis after cardiac and aortic surgery is not well established. We aimed to clarify the impact of ADL capacity at discharge on prognosis in elderly patients after cardiac and aortic surgery.This retrospective cohort study included 171 elderly patients who underwent open operation for cardiovascular disease in a single center (median age: 74 years; men: 70%). We used the Barthel Index (BI) as an indicator for ADL. Patients were classified into 2 groups according to the BI at discharge, indicating a high (BI ≥ 85) or low (BI < 85) ADL status. All-cause mortality and unplanned readmission events were observed after discharge.Thirteen all-cause mortality and 44 all-cause unplanned readmission events occurred during the median follow-up of 365 days. Using Kaplan-Meier analysis, a low ADL status was determined to be significantly associated with all-cause mortality and unplanned readmission. In the multivariable Cox proportional hazard models, a low ADL status was an independent predictor of all-cause mortality and unplanned readmission after adjusting for age, sex, length of hospital stay, and other variables (including preoperative status, surgical parameter, and postoperative course).A low ADL status at discharge predicted all-cause mortality and unplanned readmission in elderly patients after cardiac and aortic surgery. A comprehensive approach from the time of admission to postdischarge to improve ADL capacity in elderly patients undergoing cardiac and aortic surgery may improve patient outcomes.

Patient and hospital factors associated with 30-day readmissions after coronary artery bypass graft (CABG) surgery: a systematic review and meta-analysis

BACKGROUND

Readmission after coronary artery bypass graft (CABG) surgery is associated with adverse outcomes and significant healthcare costs, and 30-day readmission rate is considered as a key indicator of the quality of care. This study aims to: quantify rates of readmission within 30 days of CABG surgery; explore the causes of readmissions; and investigate how patient- and hospital-level factors influence readmission.

METHODS

We conducted systematic searches (until June 2020) of PubMed and Embase databases to retrieve observational studies that investigated readmission after CABG. Random effect meta-analysis was used to estimate rates and predictors of 30-day post-CABG readmission.

RESULTS

In total, 53 studies meeting inclusion criteria were identified, including 8,937,457 CABG patients. The pooled 30-day readmission rate was 12.9% (95% CI: 11.3-14.4%). The most frequently reported underlying causes of 30-day readmissions were infection and sepsis (range: 6.9-28.6%), cardiac arrythmia (4.5-26.7%), congestive heart failure (5.8-15.7%), respiratory complications (1-20%) and pleural effusion (0.4-22.5%). Individual factors including age (OR per 10-year increase 1.12 [95% CI: 1.04-1.20]), female sex (OR 1.29 [1.25-1.34]), non-White race (OR 1.15 [1.10-1.21]), not having private insurance (OR 1.39 [1.27-1.51]) and various comorbidities were strongly associated with 30-day readmission rates, whereas associations with hospital factors including hospital CABG volume, surgeon CABG volume, hospital size, hospital quality and teaching status were inconsistent.

CONCLUSIONS

Nearly 1 in 8 CABG patients are readmitted within 30 days and the majority of these are readmitted for noncardiac causes. Readmission rates are strongly influenced by patients' demographic and clinical characteristics, but not by broadly defined hospital characteristics.

Predictors of unplanned 30-day readmissions after coronary artery bypass graft: a systematic review and meta-analysis of cohort studies

AIMS

Coronary artery bypass graft (CABG) is one of the most performed cardiac surgery globally. CABG is known to have a high rate of short-term readmissions. The 30-day unplanned readmission rate as a quality measure is associated with adverse health outcomes. This study aimed to identify and synthesize the perioperative risk factors for 30-day unplanned readmission after CABG.

METHODS AND RESULTS

We systematically searched seven databases and reviewed studies to identify all eligible English articles published from 1 October 1999 to 30 September 2019. Random-effect models were employed to perform pooled analyses. Odds ratio and 95% confidence interval were used to estimate the risk factors for 30-day unplanned readmission. The 30-day hospital readmission rates after CABG ranged from 9.2% to 18.9% in 14 cohort studies. Among preoperative characteristics, older adults, female, weight loss, high serum creatinine, anticoagulant use or dialysis, and comorbidities were found to be statistically significant. Postoperative complications, prolonged length of hospital stay, and mechanical ventilation were revealed as the postoperative risk factors for 30-day unplanned readmission. However, intraoperative risk factors were not found to be significant in this review.

CONCLUSION

Our findings emphasize the importance of a comprehensive assessment during the perioperative period of CABG. Healthcare professionals can perform a readmission risk stratification and develop strategies to reduce readmission rates after CABG using the risk factors identified in this review. Future studies with prospective cohort samples are needed to identify the personal or psychosocial factors influencing readmission after CABG, including perioperative risk factors.

United States national trends in comorbidity and outcomes of adult cardiac surgery patients

BACKGROUND

Comorbidity profiles of cardiac surgery patients are known to have changed over time, but modern national trends in these comorbidities and outcomes are not described. This study describes comorbidity trends over time for common adult cardiac surgery procedures.

METHODS

A retrospective, cross-sectional analysis of the National Inpatient Sample was conducted for years 2005-2014. Hospitalizations with coronary artery bypass grafting (CABG), aortic valve replacement (AVR), and mitral valve repair/replacement (MVRR), as well as combined CABG/valve operations, were identified by ICD-9 procedure codes. Comorbidities were defined based on ICD-9 codes to discriminate between comorbidities and complications. Surgical volume, patient age, in-hospital mortality, and length of stay trends over time were evaluated by linear regression.

RESULTS

Incidence increased for AVR, MVRR, and CABG + AVR and declined for CABG and CABG + MVRR (P < .001). The mean number of comorbidities across all surgeries increased from 1.4 to 1.9 (P < .001). Length of stay declined for AVR, CABG + AVR, and CABG + MVRR (P < .001) with an overall decline from 10.1 to 9.7 days (P = .003). In-hospital mortality decreased in all categories over time (P < .001). Overall, in-hospital mortality decreased from 2.9% to 2.3% (P < .001).

CONCLUSIONS

Despite increasing comorbidity in cardiac surgery, operations are being conducted with fewer in-hospital mortalities across all types of surgery and decreasing length of stay for most types of surgery, which should inform the frequency of risk model updates and raise questions of the applicability of earlier studies in cardiac surgery to the modern population.

Thirty-day readmission rates and associated risk factors after coronary artery bypass grafting

Objectives

Coronary artery bypass grafting (CABG) is among the most frequently performed cardiac surgical procedures. However, it is associated with high readmission rates for a plethora of causes, which can substantially increase healthcare costs. This study aimed to assess the rates and associated risk factors of 30-day readmissions for CABG patients.

Methods

We conducted this retrospective cohort study at King Abdulaziz Medical City. The study targeted adult patients who underwent CABG between January 1, 2016, and January 31, 2019. Data were extracted from the BEST Care system. Frequencies and percentages were generated for categorical variables. Mean and standard deviation were calculated for quantitative variables. Bivariable and multivariable logistic regressions were used to detect readmission risk factors.

Results

Among 534 adult patients, the overall 30-day readmission rate was 16.1% (n = 86). The multivariable logistic regression analysis showed that diabetes mellitus (P = .002), amiodarone use (P = .04), statin use (P = .04), amlodipine use (P = .006), asthma (P < .001), and hyperlipidemia (P = .04) were significantly correlated with 30-day readmission.

Conclusions

Our study showed an estimated 16.1% 30-day readmission rate after CABG. Diabetes mellitus, asthma, hyperlipidemia, and use of medications such as amiodarone, statins, and amlodipine were associated with readmission. Further studies are needed to develop tailored and practical strategies to reduce CABG readmissions and mitigate patient and health care facility burdens.

Development of a Risk Score to Predict 90-Day Readmission After Coronary Artery Bypass Graft

BACKGROUND

Readmission after coronary artery bypass grafting (CABG) is used for quality metrics and may negatively affect hospital reimbursement. Our objective was to develop a risk score system from a national cohort that can predict 90-day readmission risk for CABG patients.

METHODS

Using the National Readmission Database between 2013 and 2014, we identified 104,930 patients discharged after CABG, for a total of 234,483 patients after weighted analysis. Using structured random sampling, patients were divided into a training set (60%) and test data set (40%). In the training data set, we used multivariable analysis to identify risk factors. A point system risk score was developed based on the odds ratios. Variables with odds ratio less than 1.3 were excluded from the final model to reduce noise. Performance was assessed in the test data set using receiver operator characteristics and accuracy.

RESULTS

In the United States, overall 90-day readmission rate after CABG was 19% (n = 44,559 of 234,483). Nine demographic and clinical variables were identified as important in the training data set. The final risk score ranged from 0 to 52; the 2 largest risks were associated with length of stay greater than 10 days (score = +10) and Medicaid insurance (score = +7). The final model's C-statistic was 0.67. Using an optimal cutoff of 18 points, the accuracy of the risk score was 77%.

CONCLUSIONS

Ninety-day readmission after CABG surgery is frequent. A readmission risk score higher than 18 points predicts readmission in 77% of patients. Based on 9 demographic and clinical factors, this risk score can be used to target high-risk patients for additional postdischarge resources to reduce readmission.

Post-acute care referral in United States of America: a multiregional study of factors associated with referral destination in a cohort of patients with coronary artery bypass graft or valve replacement

Background

The use of post-acute care (PAC) for cardiovascular conditions is highly variable across geographical regions. Although PAC benefits include lower readmission rates, better clinical outcomes, and lower mortality, referral patterns vary widely, raising concerns about substandard care and inflated costs. The objective of this study is to identify factors associated with PAC referral decisions at acute care discharge.

Methods

This study is a retrospective Electronic Health Records (EHR) based review of a cohort of patients with coronary artery bypass graft (CABG) and valve replacement (VR). EHR records were extracted from the Cerner Health-Facts Data warehouse and covered 49 hospitals in the United States of America (U.S.) from January 2010 to December 2015. Multinomial logistic regression was used to identify associations of 29 variables comprising patient characteristics, hospital profiles, and patient conditions at discharge.

Results

The cohort had 14,224 patients with mean age 63.5 years, with 10,234 (71.9%) male and 11,946 (84%) Caucasian, with 5827 (40.96%) being discharged to home without additional care (Home), 5226 (36.74%) to home health care (HHC), 1721 (12.10%) to skilled nursing facilities (SNF), 1168 (8.22%) to inpatient rehabilitation facilities (IRF), 164 (1.15%) to long term care hospitals (LTCH), and 118 (0.83%) to other locations. Census division, hospital size, teaching hospital status, gender, age, marital status, length of stay, and Charlson comorbidity index were identified as highly significant variables (p- values < 0.001) that influence the PAC referral decision. Overall model accuracy was 62.6%, and multiclass Area Under the Curve (AUC) values were for Home: 0.72; HHC: 0.72; SNF: 0.58; IRF: 0.53; LTCH: 0.52, and others: 0.46.

Conclusions

Census location of the acute care hospital was highly associated with PAC referral practices, as was hospital capacity, with larger hospitals referring patients to PAC at a greater rate than smaller hospitals. Race and gender were also statistically significant, with Asians, Hispanics, and Native Americans being less likely to be referred to PAC compared to Caucasians, and female patients being more likely to be referred than males. Additional analysis indicated that PAC referral practices are also influenced by the mix of PAC services offered in each region.

Effectiveness of nurse-led cardiac rehabilitation programs following coronary artery bypass graft surgery: a systematic review

REVIEW OBJECTIVE

The objective of this review was to investigate the effectiveness of nurse-led cardiac rehabilitation programs following coronary artery bypass graft surgery on patients' health-related quality of life and hospital readmission.

INTRODUCTION

Coronary heart disease is a major cause of death and disability worldwide, putting a great strain on healthcare resources. For the past two decades, population-wide primary prevention and individual healthcare approaches have resulted in a dramatic decline in overall cardiac mortality. Over the intervening years, surgical techniques in cardiology have also improved substantially. As a result, long-term outcomes in patients treated with coronary artery bypass graft surgery have established the treatment's effectiveness and survival benefit. Furthermore, participating in cardiac rehabilitation following coronary artery bypass graft surgery has also demonstrated a significant decrease in all-cause cardiac mortality in these patients.

INCLUSION CRITERIA

This review included studies with participants aged 18 years and over, post coronary artery bypass graft surgery that evaluated nurse-led cardiac rehabilitation (CR) programs compared with usual care or other forms of CR. The outcomes of interest were the health-related quality of life and hospital readmissions following coronary artery bypass graft surgery and measured using validated scales. Randomized controlled trials reported in English between 2000 to June 2017 were considered for inclusion.

METHODS

The search strategy aimed to find both published and unpublished studies using a three-step search strategy. An initial search of MEDLINE, CINAHL and Scopus was undertaken, followed by a search for unpublished studies including Dissertation Abstracts International, ProQuest Dissertations and Theses, Google Scholar, MedNar and ClinicalTrials.gov. Papers selected for retrieval were assessed by two independent reviewers for methodological validity prior to inclusion in the review using the standardized critical appraisal tools from the Joanna Briggs Institute System for the Unified Management, Assessment and Review of Information (JBI SUMARI). Quantitative data was extracted from papers included in the review using the standardized data extraction tool from JBI-SUMARI. No meta-analysis was undertaken due to heterogeneity of the outcome measures. All results were subject to double data entry. Effect sizes expressed as risk ratio (for categorical data) and weighted mean differences (for continuous data) and their 95% confidence intervals were calculated for analysis.

RESULTS

Three trials involving 329 patients were included in the final review. The trials that investigated the effect of home based cardiac rehabilitation programs compared to usual care at six weeks, three months and six months follow-up demonstrated no statistically significant difference in health-related quality of life at any of the follow-up periods. However, one study demonstrated significantly higher scores related to health-related quality of life among those who received nurse-led home based cardiac rehabilitation (154.93 ± 4.6) compared to those who received usual care (134.20 ± 8.2) at two months follow-up. No trials were identified that compared the effectiveness of nurse-led cardiac rehabilitation programs following coronary artery bypass graft surgery on readmissions to hospital.

CONCLUSION

There is not enough evidence to support or discourage nurse-led cardiac rehabilitation programs on health-related quality of life in patients following coronary artery bypass graft surgery. However, the sparse data available suggests improvements in health-related quality of life at two months follow-up among those who received a nurse-led program. Further large-scale multicenter trials with standardized methodology are needed to determine the effect of nurse-led cardiac rehabilitation programs on health-related quality of life and rates of readmission to hospital following coronary artery bypass graft surgery.

Predicted Risk of Mortality Score predicts 30-day readmission after coronary artery bypass grafting

OBJECTIVE

Quality metrics and reimbursement models focus on 30-day readmission rates after coronary artery bypass grafting (CABG). Certain preoperative variables are associated with higher rates of readmission. The purpose of this study was to determine whether STS Predicted Risk of Mortality (PROM) scores predict 30-day readmission following CABG.

METHODS

A retrospective review of all patients undergoing isolated CABG between 2002 and 2017 at a US academic institution was performed. Logistic regression analysis was used to determine the association between PROM and 30-day readmission, and the area under the receiver-operator curve (ROC) was calculated to estimate predictive accuracy.

RESULTS

During the study period, 21,719 patients underwent CABG and 2,023 (9.2%) were readmitted within 30 days. Readmitted patients were sicker with higher rates of comorbid conditions and higher STS PROM scores (1.03% vs 1.42%, GMR 1.33, CI 1.27-1.38, p < 0.0001). Median time to readmission was 8 days (IQR 4-15) with length of stay 5 days (4-6). By PROM quintile, higher PROM scores were associated with increased odds of readmission. PROM-adjusted 30-day mortality was higher in the readmitted group (1.04% vs 0.21%, OR 4.53, CI 2.67-7.69, p < 0.001), and mid-term survival was worse as well. PROM alone was a modest predictor of readmission (area under ROC 0.59, CI 0.57-0.60) compared to insurance status (0.55, 0.53-0.56), ejection fraction (0.52, 0.50-0.54), and history of heart failure (0.51, 0.50-0.52).

CONCLUSION

STS PROM scores are associated with increased risk of readmission following CABG.

Incidence, Cost, and Risk Factors for Readmission After Coronary Artery Bypass Grafting

BACKGROUND

Readmissions adversely affect hospital reimbursement and quality measures. We aimed to evaluate the incidence, cost, and risk factors for readmission following coronary artery bypass grafting (CABG).

METHODS

We queried the National Readmissions Database and isolated patients who underwent CABG from 2013 to 2014. We determined the top reasons for readmission and compared demographics, comorbidities, in-hospital outcomes, and costs between readmitted and nonreadmitted patients. Generalized linear regression was performed to identify independent predictors for readmission.

RESULTS

We identified 288,059 patients who underwent isolated CABG in the United States between 2013 and 2014. A total of 12.2% were readmitted within 30 days of discharge. Postoperative infection, heart failure, and arrhythmia were the most common reasons for readmission. The median time to readmit was 11 days, with a length of stay (LOS) of 6 days and a cost of $13,499 ± $201. Independent preoperative predictors for readmission were Medicaid status (odds ratio [OR], 1.33), female sex (OR, 1.32), chronic renal failure (OR, 1.26), greater than 4 Elixhauser comorbidities (OR, 1.20), chronic pulmonary disease (OR, 1.15), and nonelective operation (OR, 1.10) (all p < 0.05). In-hospital predictors included LOS greater than 10 days (OR, 1.52), acute kidney injury (OR, 1.30), atrial fibrillation (OR, 1.20), pneumonia (OR, 1.13), and discharge to skilled nursing facility (OR, 1.43) (all p < 0.05).

CONCLUSIONS

Thirty-day readmissions after CABG are frequent and related to preoperative comorbidities and complex postoperative course. Medicaid status, prolonged LOS, and disposition to a skilled nursing facility are strong predictors for 30-day readmission following CABG. Readmission reduction efforts should consider improvements for patients in these cohorts.

Disability-free survival after coronary artery bypass grafting in women and men with heart failure

Objective

Heart failure (HF) impairs survival post coronary artery bypass grafting (CABG), but little is known about the postoperative quality of life (QoL) in patients with HF. We derived a patient-centred QoL surrogate and assessed the impact of different HF subtypes on this surrogate in the year post-CABG.

Methods

We surveyed 3112 cardiovascular patients to derive a patient-centred disability outcome and studied this outcome in a population-based cohort. We defined preserved ejection fraction as ≥50% and reduced ejection fraction as <50%. The primary outcome was disability, defined according to compiled patient-derived values. The secondary outcomes consisted of each individual component of disability, and death. The incidence of disability was calculated using cumulative incidence functions, with death as a competing risk. We identified predictors of disability using cause-specific hazard models.

Results

Patient-derived disability outcome consisted of stroke, nursing home admission and recurrent hospitalisations. When applied to 40 083 CABG patients (20.6% women), the incidence of disability was 5.4% while the incidence of death was 3.7% in the year post-CABG. Female sex was associated with an adjusted HR of 1.25 (95% CI 1.13 to 1.37) for disability. Women with HF with preserved ejection fraction had an adjusted HR of 1.73 (95% CI 1.52 to 1.98) for disability.

Conclusions

Disability was a more frequent complication than death in the year post-CABG. Women experienced higher burden of disability than men, and female sex and the presence of HF were important disability risk factors. Efforts should be dedicated to disability risk prediction to enable patient-centred operative decision-making and to developing sex-specific treatment strategies to improve outcomes.

Utilization of Emergency and Hospitalization Care after Coronary Artery Bypass Surgery for Patients with Ischemic Heart Disease

This retrospective follow-up study explored the status of patients with myocardial infarction with regard to the likelihood of being readmitted to the hospital within 30 days after undergoing coronary artery bypass surgery (CABG) and their survival status within one year of the procedure.The rate of readmission within 30 days was 10.7% (167/1,575), primarily due to surgical wound infection (11.3% of readmission cases), ischemic heart disease (10.3%), and heart failure (8.7%). The readmission group consisted mainly of older males with a high comorbidity index. No significant differences existed between the two groups with regard to case distribution, hospital level, tenure of physicians, or teaching status of the hospitals. Most subsequent emergency department visits one month after surgery involved older male patients with a high comorbidity index. Compared to patients in the non-emergency group, those in the emergency group had longer hospital stays but lower mortality rates. Males constituted a higher proportion of survivors at one year post CABG, with age and comorbidity index being the primary variables affecting the risk of death.The National Health Insurance may adopt the policy of increasing payments for medical institutions that avoid readmission within 30 days post CABG in order to encourage better patient care and avoid the costs associated with readmission.

Impact of New-Onset Postoperative Depression on Readmission Outcomes After Surgical Coronary Revascularization

BACKGROUND

Depression affects between 10% and 40% of cardiac surgery patients and is associated with significantly worse outcomes. The incidence and impact of new-onset depression beyond acute follow-up remain ill-defined. The present study aimed to evaluate the incidence, risk factors, and prognostic implication of depression on 90-d readmission rates after coronary artery bypass grafting (CABG) surgery.

METHODS

A retrospective cohort study was performed identifying adult patients without prior depression who underwent CABG surgery using the 2010-2014 National Readmissions Database. CABG patients who were readmitted more than 2 wk but within 90 d of discharge were categorized based on the presence of new-onset depression. Association between the development of new-onset depression and rehospitalization were morbidity, mortality, costs, and length of stay (LOS) and were examined using multivariable regression.

RESULTS

During the study period, 1,001,945 patients underwent CABG. Of these, 11.7% of patients were readmitted after 14 d but within 90 d of discharge with 5.1% of these patients having a diagnosis of new-onset depression. Postoperative new-onset depression was not associated with increased readmission morbidity, costs, or LOS. Mortality in new-onset depression readmissions was 1.2%, compared with 2.3% in all readmitted patients (P = 0.014). Depression was associated with lower odds of mortality (OR = 0.56, P = 0.02).

CONCLUSIONS

New-onset depression following CABG discharge was not associated with increased odds of mortality, morbidity, costs, or increased LOS on readmission. Rather, new-onset depression is associated with decreased odds of readmission mortality. Overall, CABG readmissions are decreasing, whereas the rate of new-onset depression is slightly increasing. Implementation of routine depression screening tools in postoperative CABG care may aid in early detection and management of depression to enhance postoperative recovery and quality of life.

Coronary artery bypass graft readmission rates and risk factors - A retrospective cohort study

BACKGROUND

Hospital readmissions contribute substantially to the overall healthcare cost. Coronary artery bypass graft (CABG) is of particular interest due to its relatively high short-term readmission rates and mean hospital charges.

METHODS

A retrospective review was performed on 2007-2011 data from California, Florida, and New York from the State Inpatient Databases, Healthcare Cost and Utilization Project. All patients ≥18 years of age who underwent isolated CABG and met inclusion/exclusion criteria were included. Insurance status was categorized by Medicaid, Medicare, Private Insurance, Uninsured, and Other. Primary outcomes were unadjusted rates and adjusted odds of readmission at 30- and 90-days. Secondary outcomes included diagnosis at readmission.

RESULTS

A total of 177,229 were included in the analyses after assessing for exclusion criteria. Overall 30-day readmission rate was 16.1%; rates were highest within Medicare (18.4%) and Medicaid (20.2%) groups and lowest in the private insurance group (11.7%; p < 0.0001). Similarly, 90-day rates were highest in Medicare (27.3%) and Medicaid (29.8%) groups and lowest in the private insurance group (17.6%), with an overall 90-day rate of 24.0% (p < 0.0001). The most common 30-day readmission diagnoses were atrial fibrillation (26.7%), pleural effusion (22.5%), and wound infection (17.7%). Medicare patients had the highest proportion of readmissions with atrial fibrillation (31.7%) and pleural effusions (23.3%), while Medicaid patients had the highest proportion of readmissions with wound infections (21.8%). Similar results were found at 90 days. Risk factors for readmission included non-private insurance, age, female sex, non-white race, low median household income, non-routine discharge, length of stay, and certain comorbidities and complications.

CONCLUSIONS

CABG readmission rates remain high and are associated with insurance status and racial and socioeconomic markers. Further investigation is necessary to better delineate the underlying factors that relate racial and socioeconomic disparities to CABG readmissions. Understanding these factors will be key to improving healthcare outcomes and expenditure.

An Evolutionary Computation Approach for Optimizing Multilevel Data to Predict Patient Outcomes

Widespread adoption of electronic health records (EHR) and objectives for meaningful use have increased opportunities for data-driven predictive applications in healthcare. These decision support applications are often fueled by large-scale, heterogeneous, and multilevel (i.e., defined at hierarchical levels of specificity) patient data that challenge the development of predictive models. Our objective is to develop and evaluate an approach for optimally specifying multilevel patient data for prediction problems. We present a general evolutionary computational framework to optimally specify multilevel data to predict individual patient outcomes. We evaluate this method for both flattening (single level) and retaining the hierarchical predictor structure (multiple levels) using data collected to predict critical outcomes for emergency department patients across five populations. We find that the performance of both the flattened and hierarchical predictor structures in predicting critical outcomes for emergency department patients improve upon the baseline models for which only a single level of predictor—either more general or more specific—is used (p < 0.001). Our framework for optimizing the specificity of multilevel data improves upon more traditional single-level predictor structures and can readily be adapted to similar problems in healthcare and other domains.

Improving coronary artery bypass grafting readmission outcomes from 2000 to 2012 in the Medicare population

OBJECTIVE

The study objective was to examine trends in 30-day readmission after coronary artery bypass grafting in the Medicare population over 13 years.

METHODS

The study included isolated coronary artery bypass grafting procedures in the Medicare population from January 2000 to November 2012. Comorbidities and causes of readmission were determined using Internal Classification of Diseases, 9th Revision, Clinical Modification diagnostic codes.

RESULTS

The cohort included 1,116,991 patients. Readmission rates decreased from 19.5% in 2000 to 16.6% in 2012 (P = .0001). There was significant improvement across all categories of admission status, age, race, gender, and hospital annual coronary artery bypass grafting volume that were analyzed. Adjusted odds of readmission in 2000 compared with 2012 was 1.28 (95% confidence interval, 1.24-1.32). Median length of stay for the readmission episode was 5 days, which improved to 4 days by 2012. Hospital mortality during the readmission episode was 2.8% overall and declined to 2.4% in 2012 (P = .0001). The most common primary readmission diagnoses were heart failure (12.6%), postoperative wound infection/nonhealing wound (8.9%), arrhythmias (6.4%), and pleural effusions (3.7%). Readmission for wound infections/nonhealing wounds decreased significantly over time, from 9.8% to 6.5% (P = .0001).

CONCLUSIONS

In a large cohort of Medicare patients undergoing coronary artery bypass grafting over 13 years, there was a significant decrease in 30-day readmission rates, a reduction in readmission for wound infections, and reduced mortality during the readmission episode, despite an increase in patient comorbidities. The improvement in readmission rates was seen regardless of patient variables examined.

Prevention of 30-Day Readmission After Coronary Artery Bypass Surgery

Although many studies have focused on risk factors for 30-day readmission after coronary artery bypass graft (CABG) surgery, there is very little known about the prevention of modifiable risk factors associated with readmission. The research questions that guided this focused literature review were (1) What are the modifiable risk factors of 30-day readmission after CABG surgery identified in recent literature? and (2) What are the clinical programs and strategies available in preventing 30-day readmission after CABG surgery? A focused literature review from 1997 to 2014 yielded 17 published reports. Findings of this review revealed a significant gap between addressing modifiable patient-specific risk factors and the current clinical program initiatives, which are focused on care processes. Clinical programs and strategies for 30-day readmission after CABG surgery are evolving. Many programs and studies have included discharge planning and education as interventions to prevent 30-day readmissions; however, there is inconsistency in the literature on the impact of early discharge on readmission. Future studies need to focus on targeting the clinical modifiable risk factors and discharge planning and education, which may help to prevent 30-day readmissions.

Early Rehospitalization After Prolonged Intensive Care Unit Stay Post Cardiac Surgery: Outcomes and Modifiable Risk Factors

Background

Prolonged intensive care unit length of stay (prICULOS) following cardiac surgery (CS) in older adults is increasingly common but rehospitalization characteristics and outcomes are understudied. We sought to describe the rehospitalization characteristics and subsequent non‐institutionalized survival of prICULOS (ICULOS ≥5 days) patients and identify modifiable risk factors to decrease 30‐day rehospitalization.

Methods and Results

Consecutive patients from January 1, 2000 to December 31, 2011 were analyzed utilizing linked clinical and administrative databases. Logistic regression was used to identify risk factors associated with 30‐day rehospitalization. Out of 9210 consecutive patients discharged from the hospital alive, 596 (6.5%) experienced prICULOS. Cumulative incidence of rehospitalization for the prICULOS cohort at 30 and 365 days was 17.5% and 45.6% versus 11.4% and 28.1% for non‐prICULOS (P<0.01). Over 40% of rehospitalizations for the entire cohort occurred within 30 days of discharge costing over $12 million. The most common reasons for rehospitalization were heart failure (in prICULOS) and infection (in non‐prICULOS). Rehospitalization within 30 days was associated with a 2.29‐fold risk of poor 1‐year noninstitutionalized survival for the entire cohort. Potentially modifiable factors affecting 30‐day rehospitalization included lack of physician visits within 30 days of discharge (odds ratio 2.11; P=0.01), and preoperative anxiety diagnosis (odds ratio 2.20; P=0.01).

Conclusions

PrICULOS patients have high rates of rehospitalization that is associated with an increased rate of poor noninstitutionalized survival. Addressing modifiable risk factors including early postdischarge access to physician services, as well as access to mental health services may improve patient outcomes.

Readmissions after adult congenital heart surgery: Frequency and risk factors

OBJECTIVE

Despite their clinical importance, 30-day readmission after adult congenital heart surgery has been understudied. They sought to determine the frequency of unplanned readmissions after adult congenital heart surgery and to identify any potential associated risk factors.

DESIGN

Retrospective cohort study using State Inpatient Databases for Washington, New York, Florida, and California from 2009 to 2011.

SETTING

Federal and nonfederal acute care hospitals.

PATIENTS

Admissions of patients age 18-49 years with International Classification of Diseases, Ninth Revision, Clinical Modification codes indicating adult congenital heart surgery.

OUTCOME MEASURES

Readmission was defined as any nonelective hospitalization for a given patient ≤30 days of discharge from the index congenital heart surgery admission.

RESULTS

Of 9863 admissions, there were 8912 patients discharged home, of which 1419 were readmitted (14.2%). Unadjusted mortality rate was 2.6%. Most common indications for readmission were cardiac (pericardial disease, atrial fibrillation, heart failure) and infectious (postoperative infection, endocarditis). On multivariable analysis, female gender (adjusted odds ratio [AOR] 1.1; P = .05), black race (AOR 1.2; P = .05), median income <$40,000 (AOR 1.3; P = .01), government-sponsored insurance (AOR 1.4; P < .001), renal insufficiency (AOR 2.1; p < .001), Risk Adjustment for Congenital Heart Surgery-1 (RACHS-1) 3 complexity (AOR 1.3; P = .04), and emergent admissions (AOR 1.5 P < .001) were risk factors for readmission.

CONCLUSIONS

One out of seven adult congenital heart surgery hospitalizations results in unplanned readmission. Female gender, lower income status, black race, government-sponsored insurance, renal failure, unscheduled index admission, and RACHS-1 three surgical procedures are risk factors for subsequent unplanned 30-day readmission. These risk factors may serve as potential quality improvement targets to reduce readmissions.

Predicting readmission risk following coronary artery bypass surgery at the time of admission

BACKGROUND

Reducing readmissions following hospitalization is a national priority. Identifying patients at high risk for readmission after coronary artery bypass graft surgery (CABG) early in a hospitalization would enable hospitals to enhance discharge planning.

METHODS

We developed different models to predict 30-day inpatient readmission to our institution in patients who underwent CABG between January 2010 and April 2013. These models used data available: 1) at admission, 2) at discharge 3) from STS Registry data. We used logistic regression and assessed the discrimination of each model using the c-index. The models were validated with testing on a different patient cohort who underwent CABG between May 2013 and September 2015. Our cohort included 1277 CABG patients: 1159 in the derivation cohort and 1018 in the validation cohort.

RESULTS

The discriminative ability of the admission model was reasonable (C-index of 0.673). The c-indices for the discharge and STS models were slightly better. (C-index of 0.700 and 0.714 respectively). Internal validation of the models showed a reasonable discriminative admission model with slight improvement with adding discharge and registry data (C-index of 0.641, 0.659 and 0.670 respectively). Similarly validation of the models on the validation cohort showed similar results (C-index of 0.573, 0.605 and 0.595 respectively).

CONCLUSIONS

Risk prediction models based on data available early on admission are predictive for readmission risk. Adding registry data did not improved the performance of these models. These simplified models may be sufficient to identify patients at highest risk of readmission following coronary revascularization early in the hospitalization.

Relocation of patients after cardiac surgery: is it worth the effort?

BACKGROUND

Fast-track protocols may facilitate early patient discharge from the site of surgery through the implementation of more expedient pathways. However, costs may merely be shifted towards other parts of the health care system. We aimed to investigate the consequence of patient transfers on overall hospitalisation, follow-up and readmission rate after cardiac surgery.

METHODS

A single-centre descriptive cohort study using prospectively entered registry data. The study included 4,515 patients who underwent cardiac surgery at Aarhus University Hospital during the period 1 April 2006 to 31 December 2012. Patients were grouped and analysed based on type of discharge: Directly from site of surgery or after transfer to a regional hospital. The cohort was obtained from the Western Denmark Heart Registry and matched to the Danish National Hospital Register.

RESULTS

Median overall length of stay was 9 days (7.0;14.4). Transferred patients had longer length of stay, median difference of 2.0 days, p < 0.001. Time to first outpatient consultation was 41(30;58) days in transferred patients vs. 45(29;74) days, p < 0.001. 18.6% was readmitted within 30 days. Mean time to readmission was 18.4 ± 6.4 days. Median length of readmission was 3(1,6) days. There was no difference in readmissions between groups. Leading cause of readmission was cardiovascular disease with 48%.

CONCLUSION

Transfer of patients does not overtly reduce health care costs, but overall LOS and time to first outpatient consultation are substantially longer in patients transferred to secondary hospitals than in patients discharged directly. Readmission rate is high during the month after surgery, but with no difference between groups.

Combinatorial release of dexamethasone and amiodarone from a nano-structured parylene-C film to reduce perioperative inflammation and atrial fibrillation

Suppressing perioperative inflammation and post-operative atrial fibrillation requires effective drug delivery platforms (DDP). Localized anti-inflammatory and anti-arrhythmic agent release may be more effective than intravenous treatment to improve patient outcomes. This study utilized a dexamethasone (DEX) and amiodarone (AMIO)-loaded Parylene-C (PPX) nano-structured film to inhibit inflammation and atrial fibrillation. The PPX film was tested in an established pericardial adhesion rabbit model. Following sternotomy, the anterior pericardium was resected and the epicardium was abraded. Rabbits were randomly assigned to five treatment groups: control, oxidized PPX (PPX-Oxd), PPX-Oxd infused with DEX (PPX-Oxd[DEX]), native PPX (PPX), and PPX infused with DEX and AMIO (PPX[AMIO, DEX]). 4 weeks post-sternotomy, pericardial adhesions were evaluated for gross adhesions using a 4-point grading system and histological evaluation for epicardial neotissue fibrosis (NTF). Atrial fibrillation duration and time per induction were measured. The PPX[AMIO, DEX] group had a significant reduction in mean adhesion score compared with the control group (control 2.75 ± 0.42 vs. PPX[AMIO, DEX] 0.25 ± 0.42, P < 0.001). The PPX[AMIO, DEX] group was similar to native PPX (PPX 0.38 ± 0.48 vs. PPX[AMIO, DEX] 0.25 ± 0.42, P=NS). PPX-Oxd group adhesions were indistinguishable from controls (PPX-Oxd 2.83 ± 0.41 vs. control 2.75 ± 0.42, P=NS). NTF was reduced in the PPX[AMIO, DEX] group (0.80 ± 0.10 mm) compared to control (1.78 ± 0.13 mm, P < 0.001). Total duration of atrial fibrillation was decreased in rabbits with PPX[AMIO, DEX] films compared to control (9.5 ± 6.8 s vs. 187.6 ± 174.7 s, p = 0.003). Time of atrial fibrillation per successful induction decreased among PPX[AMIO, DEX] films compared to control (2.8 ± 1.2 s vs. 103.2 ± 178 s, p = 0.004). DEX/AMIO-loaded PPX films are associated with reduced perioperative inflammation and a diminished atrial fibrillation duration. Epicardial application of AMIO, DEX films is a promising strategy to prevent post-operative cardiac complications.

Feasibility of 30-day hospital readmission prediction modeling based on health information exchange data

INTRODUCTION

Unplanned 30-day hospital readmission account for roughly $17 billion in annual Medicare spending. Many factors contribute to unplanned hospital readmissions and multiple models have been developed over the years to predict them. Most researchers have used insurance claims or administrative data to train and operationalize their Readmission Risk Prediction Models (RRPMs). Some RRPM developers have also used electronic health records data; however, using health informatics exchange data has been uncommon among such predictive models and can be beneficial in its ability to provide real-time alerts to providers at the point of care.

METHODS

We conducted a semi-systematic review of readmission predictive factors published prior to March 2013. Then, we extracted and merged all significant variables listed in those articles for RRPMs. Finally, we matched these variables with common HL7 messages transmitted by a sample of health information exchange organizations (HIO).

RESULTS

The semi-systematic review resulted in identification of 32 articles and 297 predictive variables. The mapping of these variables with common HL7 segments resulted in an 89.2% total coverage, with the DG1 (diagnosis) segment having the highest coverage of 39.4%. The PID (patient identification) and OBX (observation results) segments cover 13.9% and 9.1% of the variables. Evaluating the same coverage in three sample HIOs showed data incompleteness.

DISCUSSION

HIOs can utilize HL7 messages to develop unique RRPMs for their stakeholders; however, data completeness of exchanged messages should meet certain thresholds. If data quality standards are met by stakeholders, HIOs would be able to provide real-time RRPMs that not only predict intra-hospital readmissions but also inter-hospital cases.

CONCLUSION

A RRPM derived using HIO data exchanged through may prove to be a useful method to prevent unplanned hospital readmissions. In order for the RRPM derived from HIO data to be effective, hospitals must actively exchange clinical information through the HIO and develop actionable methods that integrate into the workflow of providers to ensure that patients at high-risk for readmission receive the care they need.

Sleep apnoea and unscheduled re-admission in patients undergoing coronary artery bypass surgery

INTRODUCTION

Although it has been recognised as a cardiovascular risk factor, data on sleep apnoea screening before coronary artery bypass grafting (CABG) are scarce. This study sought to determine the prevalence, predictors and effects of sleep apnoea on re-admission in patients undergoing CABG.

METHOD

We prospectively recruited 152 patients to undergo an overnight sleep study before CABG. Sleep apnoea was defined as an apnoea-hypopnoea index of ≥15 events per hour. Data on unscheduled re-admission due to cardiovascular events were collected.

RESULTS

Among the 138 patients who completed the sleep study, sleep apnoea was diagnosed in 69 (50%). The patients who had sleep apnoea had a lower left ventricular ejection fraction (p = 0.029), a larger left atrial diameter (p = 0.014) and a larger left ventricular end-systolic dimension (p = 0.019) than those who did not. Angiographic SYNTAX and Gensini scores were similar in patients with and without sleep apnoea. The generalised structural equation model revealed that hypertension, a high body mass index and chronic renal failure were independent predictors of sleep apnoea (p < 0.05). After an average follow-up of 6 ± 3 months, 12 patients with sleep apnoea (17.3%) and three patients without sleep apnoea (4.3%) were involved in unscheduled re-admission. Patients with sleep apnoea were almost five times more likely to have an unscheduled re-admission due to cardiovascular events (adjusted odds ratio: 4.63, 95% CI: 1.24-17.31, p = 0.023) than those without sleep apnoea.

CONCLUSIONS

Sleep apnoea was prevalent and predictive of unscheduled re-admissions in patients scheduled for CABG.

Establishing an Early Discharge Protocol After Cardiac Surgery in Korea

This column shares the best evidence-based strategies and innovative ideas on how to facilitate the learning of EBP principles and processes by clinicians as well as nursing and interprofessional students. Guidelines for submission are available at http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1741-6787.

Hospital readmission is associated with poor survival after esophagectomy for esophageal cancer

BACKGROUND

Hospital readmissions are costly and associated with inferior patient outcomes. There is limited knowledge related to readmissions after esophagectomy for malignancy. Our aim was to determine the impact on survival of readmission after esophagectomy.

METHODS

This cohort study utilizes Surveillance, Epidemiology, and End Results-Medicare data (2002 to 2009). Survival, length of stay, 30-day readmissions, and discharge disposition were determined. Multivariate logistic regression models were created to examine risk factors associated with readmission.

RESULTS

In all, 1,744 patients with esophageal cancer underwent esophagectomy: 80% of patients (1,390) were male, and mean age was 73 years; 71.8% of tumors (1,251) were adenocarcinomas, and 72.5% (1,265) were distal esophageal tumors; 38% of patients (667) received induction therapy. Operative approach was transthoracic in 52.6% of patients (918) and transhiatal in 37.4% (653), and required complex reconstruction (intestinal interposition) in 9.9% (173). Stage distribution was as follows: stage I, 35.3% (616); stage II, 32.5% (566); stage III, 27.9% (487); and stage IV, 2.3% (40). Median length of stay was 13 days, hospital mortality was 9.3% (158 patients), and 30-day readmission rate was 18.6% (212 of 1,139 home discharges); 25.4% of patients (443) were discharged to institutional care facilities. Overall survival was significantly worse for patients who were readmitted (p < 0.0001, log rank test). Risk factors for readmission were comorbidity score of 3+, urgent admission, and urban residence.

CONCLUSIONS

Hospital readmissions after esophagectomy for cancer occur frequently and are associated with worse survival. Improved identification of patients at risk for readmission after esophagectomy can inform patient selection, discharge planning, and outpatient monitoring. Optimization of such practices may lead to improved outcomes at reduced cost.