Assessing and Augmenting Predictive Models for Hospital Readmissions With Novel Variables in an Urban Safety-net Population.

BACKGROUND: The performance of existing predictive models of readmissions, such as the LACE, LACE+, and Epic models, is not established in urban safety-net populations. We assessed previously validated predictive models of readmission performance in a socially complex, urban safety-net population, and if augmentation with additional variables such as the Area Deprivation Index, mental health diagnoses, and housing access improves prediction. Through the addition of new variables, we introduce the LACE-social determinants of health (SDH) model. METHODS: This retrospective cohort study included adult admissions from July 1, 2016, to June 30, 2018, at a single urban safety-net health system, assessing the performance of the LACE, LACE+, and Epic models in predicting 30-day, unplanned rehospitalization. The LACE-SDH development is presented through logistic regression. Predictive model performance was compared using C-statistics. RESULTS: A total of 16,540 patients met the inclusion criteria. Within the validation cohort (n=8314), the Epic model performed the best (C-statistic=0.71, P<0.05), compared with LACE-SDH (0.67), LACE (0.65), and LACE+ (0.61). The variables most associated with readmissions were (odds ratio, 95% confidence interval) against medical advice discharge (3.19, 2.28-4.45), mental health diagnosis (2.06, 1.72-2.47), and health care utilization (1.94, 1.47-2.55). CONCLUSIONS: The Epic model performed the best in our sample but requires the use of the Epic Electronic Health Record. The LACE-SDH performed significantly better than the LACE and LACE+ models when applied to a safety-net population, demonstrating the importance of accounting for socioeconomic stressors, mental health, and health care utilization in assessing readmission risk in urban safety-net patients.

Healthcare Utilization for Stroke Patients at the End of Life: Nationally Representative Data.

Objectives Stroke and post-stroke complications are associated with high morbidity, mortality, and cost. Our objective was to examine healthcare utilization and hospice enrollment for stroke patients at the end of life. Materials and methods The 2014 Nationwide Readmissions Database is a national database of > 14 million admissions. We used validated ICD-9 codes to identify fatal ischemic stroke, summarized demographics and hospitalization characteristics, and examined healthcare use within 30 days before fatal stroke admission. We used de-identified 2014 Medicare hospice data to identify stroke and non-stroke patients admitted to hospice. Results Among IS admissions in 2014 (n = 472,969), 22652 (4.8%) had in-hospital death. 28.2% with fatal IS had two or more hospitalizations in 2014. Among those with fatal IS admission, 13.0% were admitted with cerebrovascular disease within 30 days of fatal IS admission. Half of stroke patients discharged to hospice from the Medicare dataset were hospitalized with cerebrovascular disease within the thirty days prior to hospice enrollment. Within the study year, 6.9% of hospice enrollees had one or more emergency room visits, 31.7% had one or more inpatient encounters, and 5.2% had one or more nursing facility encounters (compared to 21.4%, 70.6%, and 27.2% respectively in the 30-day period prior to enrollment). Conclusions High rates of readmission prior to fatal stroke may indicate opportunity for improvement in acute stroke management, secondary prevention, and palliative care involvement as encouraged by AHA/ASA guidelines. For patients who are expected to survive 6 months or less, hospice may offer goal-concordant services for patients and caregivers who desire comfort-focused care.

Impact of hospital volume on resource use after elective cardiac surgery: A contemporary analysis.

BACKGROUND: Institutional experience has been associated with reduced mortality after coronary artery bypass grafting and valve operations. Using a contemporary, national cohort, we examined the impact of hospital volume on hospitalization costs and postdischarge resource utilization after these operations. METHODS: Adults undergoing elective coronary artery bypass grafting or valve operations were identified in the 2016 to 2017 Nationwide Readmissions Database. Institutions were grouped into volume quartiles based on annual elective cardiac surgery caseload, and comparisons were made between the lowest and highest quartiles, using generalized linear models. RESULTS: Of an estimated 296,510 patients, 24.8% were treated at low-volume hospitals and 25.2% at high-volume hospitals. Compared with patients treated at low-volume hospitals, patients managed at high-volume hospitals were younger, had more comorbidities, and more frequently underwent combined coronary artery bypass grafting valve (13.0% vs 12.3%, P < .001) and multivalve operations (6.2% vs 3.1%, P < .001). After adjustment, operations at high-volume hospitals were associated with a $7,600 reduction (95% confidence interval $4,700-$10,500) in costs. High-volume hospitals were also associated with reduced odds of mortality, non-home discharge, and 30-day non-elective readmission compared to low-volume hospitals. CONCLUSION: Despite increased complexity at high-volume centers, greater operative volume was independently associated with reduced hospitalization costs and mortality after elective cardiac operations. Reduction in non-home discharge and readmissions suggests this effect to extend beyond acute hospitalization, which may guide value-based care paradigms.

Trends in 30- and 90-Day Readmission Rates for Heart Failure.

BACKGROUND: The impact of hospital readmission reduction program (HRRP) on heart failure (HF) outcomes has been debated. Limited data exist regarding trends of HF readmission rates beyond 30 days from all-payer sources. The aim of this study was to investigate temporal trends of 30- and 90-day HF readmissions rates from 2010 to 2017 in patients from all-payer sources. METHODS: The National Readmission Database was utilized to identify HF hospitalizations between 2010 and 2017. In the primary analysis, a linear trend in 30-day and 90-day readmissions from 2010 to 2017 was assessed. While in the secondary analysis, a change in aggregated 30- and 90-day all-cause and HF-specific readmissions pre-HRRP penalty phase (2010-2012) and post-HRRP penalties (2013-2017) was compared. Subgroup analyses were performed based on (1) Medicare versus non-Medicare insurance, (2) low versus high HF volume, and (3) HF with reduced versus preserved ejection fraction (heart failure with reduced ejection fraction and heart failure with preserved ejection fraction). Multiple logistic and adjusted linear regression analyses were performed for annual trends. RESULTS: A total of 6 669 313 index HF hospitalizations for 30-day, and 5 077 949 index HF hospitalizations for 90-day readmission, were included. Of these, 1 213 402 (18.2%) encounters had a readmission within 30 days, and 1 585 445 (31.2%) encounters had a readmission within 90 days. Between 2010 and 2017, both 30 and 90 days adjusted HF-specific and all-cause readmissions increased (8.1% to 8.7%, P trend 0.04, and 18.3% to 19.9%, P trend <0.001 for 30-day and 14.8% to 16.0% and 30.9% to 34.6% for 90-day, P trend <0.001 for both, respectively). Readmission rates were higher during the post-HRRP penalty period compared with pre-HRRP penalty phase (all-cause readmission 30 days: 18.6% versus 17.5%, P<0.001, all-cause readmission 90 days: 32.0% versus 29.9%, P<0.001) across all subgroups except among the low-volume hospitals. CONCLUSIONS: The rates of adjusted HF-specific and all-cause 30- and 90-day readmissions have increased from 2010 to 2017. Readmissions rates were higher during the HRRP phase across all subgroups except the low-volume hospitals.

Is the current referral trend a threat to the Military Health System? Perioperative outcomes and costs after colorectal surgery in the Military Health System versus civilian facilities.

BACKGROUND: TRICARE military beneficiaries are increasingly referred for major surgeries to civilian hospitals under "purchased care." This loss of volume may have a negative impact on the readiness of surgeons working in the "direct-care" setting at military treatment facilities and has important implications under the volume-quality paradigm. The objective of this study is to assess the impact of care source (direct versus purchased) and surgical volume on perioperative outcomes and costs of colorectal surgeries. METHODS: We examined TRICARE claims and medical records for 18- to 64-year-old patients undergoing major colorectal surgery from 2006 to 2015. We used a retrospective, weighted estimating equations analysis to assess differences in 30-day outcomes (mortality, readmissions, and major or minor complications) and costs (index and total including 30-day postsurgery) for colorectal surgery patients between purchased and direct care. RESULTS: We included 20,317 patients, with 24.8% undergoing direct-care surgery. Mean length of stay was 7.6 vs 7.7 days for direct and purchased care, respectively (P = .24). Adjusted 30-day odds between care settings revealed that although hospital readmissions (odds ratio 1.40) were significantly higher in direct care, overall complications (odds ratio 1.05) were similar between the 2 settings. However, mean total costs between direct and purchased care differed ($55,833 vs $30,513, respectively). Within direct care, mean total costs ($50,341; 95% confidence interval $41,509-$59,173) were lower at very high-volume facilities compared to other facilities ($54,869; 95% confidence interval $47,822-$61,916). CONCLUSION: Direct care was associated with higher odds of readmissions, similar overall complications, and higher costs. Contrary to common assumptions regarding volume and quality, higher volume in the direct-care setting was not associated with fewer complications.

Evaluation of Hospital Performance Using the Excess Days in Acute Care Measure in the Hospital Readmissions Reduction Program.

The Hospital Readmissions Reduction Program (HRRP) has penalized hospitals with higher 30-day readmission rates more than $3 billion to date. Clinicians and policy experts have raised concerns that the 30-day readmission measure used in this program provides an incomplete picture of performance because it does not capture all hospital encounters that may occur after discharge. In contrast, the excess days in acute care (EDAC) measure, which currently is not used in the HRRP, captures the full spectrum of hospital encounters (emergency department, observation stay, inpatient readmission) and their associated lengths of stay within 30 days of discharge. This study of 3173 hospitals that participated in the HRRP in fiscal year 2019 compared performance on the readmission and EDAC measures and evaluated whether using the EDAC measure would change hospitals' penalty status for 3 conditions targeted by the HRRP. Overall, only moderate agreement was found on hospital performance rankings by using the readmission and EDAC measures (weighted κ statistic: heart failure, 0.45 [95% CI, 0.42 to 0.47]; acute myocardial infarction [AMI], 0.37 [CI, 0.35 to 0.40]; and pneumonia, 0.50 [CI, 0.47 to 0.52]). Under the HRRP, the penalty status of 769 (27.0%) of 2845 hospitals for heart failure, 581 (28.3%) of 2055 for AMI, and 724 (24.9%) of 2911 for pneumonia would change if the EDAC measure were used instead of the readmission measure to evaluate performance. Fewer small and rural hospitals would receive penalties. The Centers for Medicare & Medicaid Services should consider using the EDAC measure, which provides a more comprehensive picture of postdischarge hospital use, rather than the 30-day readmission measure to evaluate health care system performance under federal quality, reporting, and value-based programs.

Adverse Events and Bundled Costs after Cranial Neurosurgical Procedures: Validation of the LACE Index Across 40,431 Admissions and Development of the LACE-Cranial Index.

OBJECTIVE: Anticipating postdischarge complications after neurosurgery remains difficult. The LACE index, based on 4 hospitalization descriptors, stratifies patients by risk of 30-day postdischarge adverse events but has not been validated in a procedure-specific manner in neurosurgery. Our study sought to explore the usefulness of the LACE index in a population undergoing cranial neurosurgery and to develop an enhanced model, LACE-Cranial. METHODS: The OptumClinformatics Database was used to identify cranial neurosurgery admissions (2004-2017). Procedures were grouped as trauma/hematoma/intracranial pressure, open vascular, functional/pain, skull base, tumor, or endovascular. Adverse events were defined as postdischarge death/readmission. LACE-Cranial was developed using a logistic regression framework incorporating an expanded feature set in addition to the original LACE components. RESULTS: A total of 40,431 admissions were included. Predictions of 30-day readmissions was best for skull base (area under the curve [AUC], 0.636) and tumor (AUC, 0.63) admissions but was generally poor. Predictive ability of 30-day mortality was best for functional/pain admissions (AUC, 0.957) and poorest for trauma/hematoma/intracranial pressure admissions (AUC, 0.613). Across procedure types except for functional/pain, a high-risk LACE score was associated with higher postdischarge bundled payment costs. Incorporating features identified to contribute independent predictive value, the LACE-Cranial model achieved procedure-specific 30-day mortality AUCs ranging from 0.904 to 0.98. Prediction of 30-day and 90-day readmissions was also improved, with tumor and skull base cases achieving 90-day readmission AUCs of 0.718 and 0.717, respectively. CONCLUSIONS: Although the unmodified LACE index shows inconsistent classification performance, the enhanced LACE-Cranial model offers excellent prediction of short-term postdischarge mortality across procedure groups and significantly improved anticipation of short-term postdischarge readmissions.

Association of Neurosurgical Work Relative Value Units with Objective Markers of Operative Complexity.

OBJECTIVE: Relative value units (RVUs) form the backbone of health care service reimbursement calculation in the United States. However, it remains unclear how well RVUs align with objective measures of procedural complexity within neurosurgery. METHODS: The 2018 American College of Surgeons National Surgical Quality Improvement Program database was queried for neurosurgical procedures with >50 patients, using Current Procedural Terminology (CPT) codes. Length of stay (LOS), operative time, mortality, and readmission and reoperation rates were collected for each code and a univariate correlation analysis was performed, with significant predictors entered into a multivariate logistic regression model, which generated predicted work RVUs, which were compared with actual RVUs to identify undervalued and overvalued procedures. RESULTS: Among 64 CPT codes, LOS, operative time, mortality, readmission, and reoperation were significant independent predictors of work RVUs and together explained 76% of RVU variance in a multivariate model (R2 = 0.76). Using a difference of >1.5 standard deviations from the mean, procedures associated with greater than predicted RVU included surgery for intracranial carotid circulation aneurysms (CPTs 61697 and 61700; residual RVU = 12.94 and 15.07, respectively), and infratemporal preauricular approaches to middle cranial fossa (CPT 61590; residual RVU = 15.39). Conversely, laminectomy/foraminotomy for decompression of additional spinal cord, cauda equina, and/or nerve root segments (CPT 63048; residual RVU = -21.30), transtemporal craniotomy for cerebellopontine angle tumor resection (CPT 61526; residual RVU = -9.95), and brachial plexus neuroplasty (CPT 64713; residual RVU = -11.29) were associated with lower than predicted RVU. CONCLUSIONS: Work RVUs for neurosurgical procedures are largely predictive of objective measures of surgical complexity, with few notable exceptions.

Trends and Outcomes of Hip Fracture Hospitalization Among Medicare Beneficiaries with Inflammatory Bowel Disease, 2000-2017.

BACKGROUND: Patients with inflammatory bowel disease (IBD) have a higher risk of hip fracture, but lower likelihood of having arthroplasties than non-IBD patients in Nationwide Inpatient Sample. Little is known about hip fracture-associated hospitalization outcomes. AIMS: We assessed the trends in hip fracture hospitalization rates from 2000 to 2017 and estimated 30-day readmission, 30-day mortality, and length of stay in 2016 and 2017. METHODS: We estimated trends of age-adjusted hospitalization rates using a piecewise linear regression. Medicare beneficiaries aged ≥ 66 years with Crohn's disease (CD, n = 2014) or ulcerative colitis (UC, n = 2971) hospitalized for hip fracture were identified. We performed propensity score matching to create 1:3 matched samples on age, race/ethnicity, sex, and chronic conditions and compared hospitalization outcomes between matched samples. RESULTS: In 2017, the age-adjusted hospitalization rates (per 100) were 1.15 [95% CI = (1.07-1.24)] for CD, 0.86 [95% CI = (0.82-0.89)] for UC, and 0.59 [95% CI = (0.59-0.59)] for no IBD. The hospitalization rates for CD and UC decreased from 2000 to 2012 and then increased from 2012 to 2017. Compared to matched cohorts, CD patients had longer hospital stays (5.55 days vs. 5.30 days, p = 0.01); UC patients were more likely to have 30-day readmissions (17.27% vs. 13.71%, p < 0.001), longer hospital stays (5.59 days vs. 5.40 days, p = 0.02), and less likely to have 30-day mortality (3.77% vs. 5.15%, p = 0.003). CONCLUSIONS: Prevention of hip fracture is important for older adults with IBD, especially CD. Strategies that improve quality of inpatient care for IBD patients hospitalized for hip fracture should be considered.

Risk Factors Associated with 90-Day Readmissions Following Occipitocervical Fusion-A Nationwide Readmissions Database Study.

BACKGROUND: Occipitocervical fusion (OCF) procedures are increasing due to an aging population and the prevalence of trauma, rheumatoid arthritis, and tumors. Reoperation rates and readmission risk factors for cervical fusions have been established, but in relation to OCF they have not been explored. This study investigates the patterns of readmissions and complications following OCF using a national database. METHODS: The 2016 U.S. Nationwide Readmissions Database was used for sample collection. Adults (>18 years) who underwent OCF were identified using the 2016 ICD-10 coding system, and we examined the readmission rates (30-day and 90-day) and reoperation rates. RESULTS: Between January and September 2016, a total of 477 patients underwent OCF; the 30-day and 90-day readmission rates were 10.4% and 22.4%, respectively. The 90-day reoperation rate related to the index surgery was 5.7%. Mean age (68.58 years) was significantly greater in the readmitted group versus nonreadmitted group (61.76 years) (P < 0.001). The readmitted group had a significantly higher Charlson Comorbidity Index and Elixhauser Comorbidity Index (5.00 and 2.41, respectively) than the nonreadmitted group (3.25 and 1.15, respectively; P < 0.001). Nonelective OCF showed a higher readmission rate (29.18%) versus elective OCF (12.23%) (P < 0.001). Medicare and Medicaid patients showed the highest rates of readmission (27.27% and 20.41%, respectively). Readmitted patients had higher total health care costs. CONCLUSIONS: Nonelective OCF was found to have a readmission rate of almost 2½× that of elective OCF. Understanding risk factors associated with OCF will help with operative planning and patient optimization.

Indication-based analysis of patient outcomes following deep brain stimulation surgery.

BACKGROUND: While considered a safe operation, deep brain stimulation (DBS) has been associated with various morbidities. We assessed differences in postsurgical complication rates in patients undergoing the most common types of neurostimulation surgery. METHODS: The National Readmission Database (NRD) was queried to identify patients undergoing neurostimulation placement with the diagnosis of Parkinson disease (PD), epilepsy, dystonia, or essential tremor (ET). Demographics and complications, including infection, pneumonia, and neurostimulator revision, were queried for each cohort and compiled. Readmissions were assessed in 30-, 90-, and 180-day intervals. We implemented nearest-neighbor propensity score matching to control for demographic and sample size differences between groups. RESULTS: We identified 3230 patients with Parkinson disease, 1289 with essential tremor, 965 with epilepsy, and 221 with dystonia. Following propensity score matching, 221 patients remained in each cohort. Readmission rates 30-days after hospital discharge for PD patients (15.5 %) were significantly greater than those for ET (7.8 %) and seizure patients (4.4 %). Pneumonia was reported for PD (1.6 %), seizure (3.3 %) and dystonia (1.7 %) patients but not individuals ET. No PD patients were readmitted at 30-days due to dysphagia while individuals treated for ET (6.5 %), seizure (1.6 %) and dystonia (5.2 %) were. DBS-revision surgery was performed for 11.48 % of PD, 6.52 % of ET, 1.64 % of seizure and 6.90 % of dystonia patients within 30-days of hospital discharge. CONCLUSION: 30-day readmission rates vary significantly between indications, with patients receiving DBS for PD having the highest rates. Further longitudinal studies are required to describe drivers of variation in postoperative outcomes following DBS surgery for different indications.

Trends in Outcomes of Transcatheter and Surgical Aortic Valve Replacement in the United States (2012-2017).

As the use of transcatheter aortic valve implantation (TAVI) expands to varying patient populations, impacting the landscape of surgical aortic valve replacement (SAVR), this study sought to assess volume and performance trends of aortic valve replacement (AVR) in the United States during 2012-2017. The Nationwide Readmissions Database was queried for patients who underwent endovascular/transapical TAVI, isolated SAVR, or complex aortic valve surgery between 2012 and 2017. Temporal trends in annual case volume, admission costs, in-hospital outcomes, and 30-day readmission were evaluated. Of 624,303 patients (median age 72 years) who received AVR, 387,011 (62%) were men. Among these patients, 170,521 (27%) underwent TAVI and 453,782 (73%) underwent SAVR with 299,398 isolated and 154,384 complex aortic valve surgery. TAVI patients were significantly older and higher risk compared with SAVR patients. From 2012 to 2017, the annual number of TAVI increased from 8,295 to 55,168 whereas SAVR volume remained remarkably stable. Patients who underwent AVR demonstrated significant improvements in mortality, stroke, duration of hospitalization, and 30-day readmission. In conclusion, this large contemporary analysis reports the considerable growth of AVR in the United States. It remains unequivocal that the treatment of aortic stenosis is improving overall with reduced mortality following AVR, highlighting the effectiveness of various process improvements such as newer valves, enhanced patient selection, and the interdisciplinary Heart Team approach.

Magnet Hospitals and 30-Day Readmission and Mortality Rates for Medicare Beneficiaries.

BACKGROUND: US hospitals are penalized for excess 30-day readmissions and mortality for select conditions. Under the Centers for Medicare and Medicaid Services policy, readmission prevention is incentivized to a greater extent than mortality reduction. A strategy to potentially improve hospital performance on either measure is by improving nursing care, as nurses provide the largest amount of direct patient care. However, little is known as to whether achieving nursing excellence, such as Magnet status, is associated with improved hospital performance on readmissions and mortality. OBJECTIVE: The purpose of this study was to examine the relationship between hospitals' Magnet status and performance on readmission and mortality rates for Medicare beneficiaries. RESEARCH DESIGN: This is a cross-sectional analysis of Medicare readmissions and mortality reduction programs from 2013 to 2016. A propensity score-matching approach was used to take into account differences in baseline characteristics when comparing Magnet and non-Magnet hospitals. SUBJECTS: The sample was comprised of 3877 hospitals. MEASURES: The outcome measures were 30-day risk-standardized readmission and mortality rates. RESULTS: Following propensity score matching on hospital characteristics, we found that Magnet hospitals outperformed non-Magnet hospitals in reducing mortality; however, Magnet hospitals performed worse in reducing readmissions for acute myocardial infarction, coronary artery bypass grafting, and stroke. CONCLUSIONS: Magnet hospitals performed better on the Hospital Value-Based Purchasing Mortality Program than the Hospital Readmissions Reduction Program. The results of this study suggest the need for The Magnet Recognition Program to examine the role of nurses in postdischarge activities as a component of its evaluation criteria.

Temporal Trends in Resource Use, Cost, and Outcomes of Transcatheter Aortic Valve Replacement in the United States.

OBJECTIVE: To evaluate the contemporary trends in outcomes and resource use associated with transcatheter aortic valve replacement (TAVR) in the United States. METHODS: We identified patients who underwent TAVR between January 1, 2012, and December 31, 2017, in the National Readmission Database. We assessed temporal trends in clinical outcomes, length-of-stay, non-home discharges, and cost of the index TAVR hospitalization. We also evaluated the changes in the burden of hospitalizations before and after TAVR. RESULTS: A total of 89,202 patients were included. In-hospital mortality decreased from 5.3% (188) in 2012 to 1.6% (484) in 2017 (adjusted odds ratio: 0.37, 95% CI: 0.30 to 0.46). Risk-adjusted incidences of new dialysis, vascular complications, blood transfusion, and mechanical ventilation decreased, but strokes and pacemaker implantations remained unchanged. Length of stay decreased from median of 7 (interquartile range [IQR]: 4 to 11) to 2 (IQR: 2 to 5) days (P<.001). Risk-adjusted non-home discharges decreased from 32.2% (1134) to 15.5% (386) (P<.001). Median cost of the TAVR hospitalization decreased from $56,022 (IQR: $43,690 to $75,174) to $46,101 (IQR: $36,083 to $59,752) (P<.001). Pre-TAVR admissions at 30, 90, and 180 days decreased from 21.6% (713), 39.5% (1160), and 50.5% (1009) in 2012 to 15.5% (4451), 30.2% (7186), and 36.8% (5928) in 2017, respectively (P<.001). Similarly, re-hospitalizations at 30, 90, and 180 days post-TAVR decreased from 17.5% (531), 27.9% (657), and 34.2% (521) to 12.4% (3486), 21.1% (4783), and 29.1% (4306), respectively (P<.001). The expenditure on index, pre-, and post-TAVR hospitalizations increased from $0.53 to $2.8 billion between 2012 and 2017. CONCLUSION: This study reflects the changes in the characteristics and outcomes of TAVR in the United States between 2012 and 2017. It also shows the temporal decrease in resource use, cost, and burden of hospitalizations among patients undergoing TAVR in the United States, but an increase in the overall expenditure on TAVR-related hospitalizations.

Trends in Costs and Risk Factors of 30-Day Readmissions for Transcatheter Aortic Valve Implantation.

As transcatheter aortic valve implantation (TAVI) continues its rapid growth as a treatment approach for aortic stenosis, costs associated with TAVI, and its burden to healthcare systems will assume greater importance. Patients undergoing TAVI between January 2012 and November 2017 in the Nationwide Readmission Database were identified. Trends in cause-specific readmissions were assessed using Poisson regression. Thirty-day TAVI cost burden (cost of index TAVI hospitalization plus total 30-day readmissions cost) was adjusted to 2017 U.S. dollars and trended over year from 2012 to 2017. Overall, 47,255 TAVI were included and 30-day readmissions declined from 20% to 12% (p <0.0001). Most common causes of readmission (heart failure, infection/sepsis, gastrointestinal causes, and respiratory) declined as well, except arrhythmia/heart block which increased (1.0% to 1.4%, p <0.0001). Cost of TAVI hospitalization ($52,024 to $44,110, p <0.0001) and 30-day cost burden ($54,122 to $45,252, p <0.0001) declined. Whereas costs of an average readmission did not change ($9,734 to $10,068, p = 0.06), cost burden of readmissions (per every TAVI performed) declined ($4,061 to $1,883, p <0.0001), including reductions in each of the top 5 causes except arrhythmia/heart block ($171 to $263, p = 0.04). Index TAVI hospitalizations complicated by acute kidney injury, length of stay ≥5 days, low hospital procedural volume, and skilled nursing facility discharge were associated with increased odds of 30-day readmissions. In conclusion, the costs of index hospitalizations and 30-day cost burden for TAVI in the U.S. significantly declined from 2012 to 2017. However, readmissions due to arrhythmia/heart block and their associated costs increased. Continued strategies to prevent readmissions, especially those for conduction disturbances, are crucial in the efforts to optimize outcomes and costs with the ongoing expansion of TAVI.

Trends and outcomes of non-primary PCI at sites without cardiac surgery on-site: The early Michigan experience.

INTRODUCTION: Non-primary percutaneous coronary intervention (non-PPCI) recently received certificate of need approval in the state of Michigan at sites without cardiac surgery on-site (cSoS). This requires quality oversight through participation in the BMC2 registry. While previous studies have indicated the safety of this practice, real-world comprehensive outcomes, case volume changes, economic impacts, and readmission rates at diverse healthcare centers with and without cSoS remain poorly understood. METHODS: Consecutive patients undergoing non-PPCI at 47 hospitals (33 cSoS and 14 non-cSoS) in Michigan from April 2016 to March 2018 were included. Using propensity-matching, patients were analyzed to assess outcomes and trends in non-PPCI performance at sites with and without cSOS. RESULTS: Of 61,864 PCI's performed, 50,817 were non-PPCI, with 46,096 (90.7%) performed at sites with cSoS and 4,721 (9.3%) at sites without cSoS. From this cohort, 4,643 propensity-matched patients were analyzed. Rates of major adverse cardiac events (2.6% vs. 2.8%; p = 0.443), in-hospital mortality (0.6% vs. 0.5%; p = 0.465), and several secondary clinical and quality outcomes showed no clinically significant differences. Among a small subset with available post-discharge data, there were no differences in 90-day readmission rates, standardized episode costs, or post-discharge mortality. Overall PCI volume remained stable, with a near three-fold rise in non-PPCI at sites without cSoS. CONCLUSIONS: Non-PPCI at centers without cardiac SoS was associated with similar comprehensive outcomes, quality of care, 90-day episode costs, and post-discharge mortality compared with surgical sites. Mandatory quality oversight serves to maintain appropriate equivalent outcomes and may be considered for other programs, including the performance of non-PPCI at ambulatory surgical centers in the near future.