Readmissions after carotid artery revascularization in the Medicare population

Unplanned readmission after carotid stenting versus endarterectomy: analysis of the United States Nationwide Readmissions Database

BACKGROUND

Hospital readmissions are costly and reflect negatively on care delivered.

OBJECTIVE

To have a better understanding of unplanned readmissions after carotid revascularization, which might help to prevent them.

METHODS

The Nationwide Readmissions Database was used to determine rates and reasons for unplanned readmission following carotid endarterectomy (CEA) and carotid artery stenting (CAS). Trends were assessed by annual percent change, modified Poisson regression was used to estimate risk ratios (RR) for readmission, and propensity scores were used to match cohorts.

RESULTS

Analysis yielded 522 040 asymptomatic and 55 485 symptomatic admissions for carotid revascularization between 2010 and 2015. Higher 30-day readmission rates were noted after CAS versus CEA in both symptomatic (9.1% vs 7.7%, p<0.001) and asymptomatic (6.8% vs 5.7%, p<0.001) patients. Readmission rates trended lower over time, significantly so for 90-day readmissions in symptomatic patients undergoing CEA. The most common cause for 30-day readmission was stroke in both symptomatic (5.5%) and asymptomatic (3.9%) patients. Factors associated with a higher risk of readmission included age over 80; male gender; Medicaid health insurance; and increases in severity of illness, mortality risk, and comorbidity indices. Analysis of matched cohorts showed that CAS had higher readmission than CEA (RR=1.14 (95% CI 1.06 to 1.22); p<0.001) only in asymptomatic patients. Adverse events during initial admission which predicted 30-day readmission included acute renal failure and acute respiratory failure in asymptomatic patients; hematoma and cardiac events were additional predictive adverse events in symptomatic patients.

CONCLUSIONS

Readmission is not uncommon after carotid revascularization, occurs more often after CAS, and is predicted by baseline factors and by preventable adverse events at initial admission.

A Mobile Phone App Improves Patient-Physician Communication and Reduces Emergency Department Visits After Colorectal Surgery

BACKGROUND

Emergency visits after colorectal surgery are common and require significant health care resources. However, many visits may be avoidable with alternative access to care. Mobile health technologies can facilitate patient access to health care providers.

OBJECTIVE

We hypothesized that a mobile app for postdischarge monitoring with patient-provider communication ability would reduce emergency visits after elective abdominopelvic colorectal surgery.

DESIGN

This is a prospective cohort study with a regression analysis after coarsened exact matching.

SETTING

The study was conducted at a single colorectal referral center from May 2019 to September 2020.

PATIENTS

A total of 114 patients were recruited to the intervention and were matched to a retrospective cohort of 608 patients from the 24 months before the study. All patients were managed according to an enhanced recovery pathway.

INTERVENTIONS

A mobile phone app comprised of patient education material, daily questionnaires assessing postdischarge recovery, and patient-provider chat function was used.

MAIN OUTCOME MEASURES

The primary outcomes included potentially preventable 30-day emergency visits defined according to a validated algorithm. Secondary outcomes included length of stay, complications, total emergency department visits, readmissions, and app usability.

RESULTS

Coarsened-exact matching resulted in a matched sample of 94 prospective intervention patients and 256 retrospective control patients. The prospective group was associated with fewer preventable emergency department visits (incidence rate ratio 0.34; p = 0.043) and shorter length of stay (-1.62 days; p = 0.011). There were no differences in 30-day complications, total number of emergency visits, or readmissions. Patient-reported usability of the mobile app was high, with 88% of patients reporting that the app improved their ability to communicate with their surgeon.

LIMITATIONS

We did not account for patient activation or perform a cost-analysis.

CONCLUSION

Use of a mobile app was associated with fewer potentially preventable emergency visits and shorter length of stay after major elective colorectal surgery, which may be due to enhanced postdischarge monitoring and patient-provider communication. See Video Abstract at http://links.lww.com/DCR/B878 .

APLICACIN DE TELFONO MVIL MEJORA LA COMUNICACIN ENTRE MDICO Y PACIENTE Y REDUCE LAS VISITAS AL DEPARTAMENTO DE EMERGENCIAS DESPUS DE CIRUGA COLORECTAL

ANTECEDENTES:Las visitas de emergencia después de la cirugía colorrectal son frecuentes y requieren importantes recursos sanitarios. Sin embargo, muchas visitas pueden evitarse con un acceso alternativo a la atención. Las tecnologías de salud móviles pueden facilitar el acceso de los pacientes a los proveedores de atención médica.OBJETIVO:Se planteó la hipótesis de que una aplicación móvil para el seguimiento posterior al alta con capacidad de comunicación entre el paciente y el médico reduciría las visitas de emergencia después de cirugía colorrectal abdominopélvica electiva.DISEÑO:Este es un estudio de cohorte prospectivo con un análisis de regresión después de un emparejamiento exacto aproximado.ENTORNO CLINICO:El estudio se llevó a cabo en un solo centro de referencia colorrectal entre 05/2019 y 09/2020.PACIENTES:Se reclutó un total de 114 pacientes para la intervención y se emparejaron con una cohorte retrospectiva de 608 pacientes de los 24 meses anteriores al estudio. Todos los pacientes fueron tratados con protocolo de enhanced recovery .INTERVENCIONES:Se utilizó una aplicación para teléfono móvil compuesta de material educativo para el paciente, cuestionarios diarios que evalúan la recuperación posterior al alta y una función de chat entre el paciente y el médico.PRINCIPALES MEDIDAS DE RESULTADO:Los resultados primarios incluyeron visitas a la emergencia en 30 días potencialmente prevenibles, definidas según un algoritmo validado. Los resultados secundarios incluyeron la duración de la estancia, complicaciones, total de visitas al departamento de emergencias, reingresos y la usabilidad de la aplicación.RESULTADOS:El emparejamiento aproximado-exacto resultó en una muestra emparejada de 94 APP + y 256 APP-. APP + se asoció con menos visitas evitables al servicio de urgencias (IRR 0,34, p = 0,043) y una estancia más corta (-1,62 días, p = 0,011). No hubo diferencias en las complicaciones a los 30 días, número total de visitas de emergencia y reingresos. La usabilidad de la aplicación móvil informada por los pacientes fue alta, y el 88% de los pacientes informaron que la aplicación mejoró su capacidad para comunicarse con su cirujano.LIMITACIONES:No contabilizamos la activación del paciente ni realizamos un análisis de costos.CONCLUSIÓNES:El uso de una aplicación móvil se asoció con menos visitas a la emergencia potencialmente prevenibles y una estadía más corta después de una gran cirugía colorrectal electiva, lo que puede deberse a una mejor monitorización posterior al alta y a la comunicación entre el paciente y el médico. Consulte Video Resumen en http://links.lww.com/DCR/B878 . (Traducción-Dr. Francisco M. Abarca-Rendon ).

Accurate classification of carotid endarterectomy indication using physician claims and hospital discharge data

BACKGROUND AND PURPOSE

Studies of carotid endarterectomy (CEA) require stratification by symptomatic vs asymptomatic status because of marked differences in benefits and harms. In administrative datasets, this classification has been done using hospital discharge diagnosis codes of uncertain accuracy. This study aims to develop and evaluate algorithms for classifying symptomatic status using hospital discharge and physician claims data.

METHODS

A single center's administrative database was used to assemble a retrospective cohort of participants with CEA. Symptomatic status was ascertained by chart review prior to linkage with physician claims and hospital discharge data. Accuracy of rule-based classification by discharge diagnosis codes was measured by sensitivity and specificity. Elastic net logistic regression and random forest models combining physician claims and discharge data were generated from the training set and assessed in a test set of final year participants. Models were compared to rule-based classification using sensitivity at fixed specificity.

RESULTS

We identified 971 participants undergoing CEA at the Vancouver General Hospital (Vancouver, Canada) between January 1, 2008 and December 31, 2016. Of these, 729 met inclusion/exclusion criteria (n = 615 training, n = 114 test). Classification of symptomatic status using hospital discharge diagnosis codes was 32.8% (95% CI 29-37%) sensitive and 98.6% specific (96-100%). At matched 98.6% specificity, models that incorporated physician claims data were significantly more sensitive: elastic net 69.4% (59-82%) and random forest 78.8% (69-88%).

CONCLUSION

Discharge diagnoses were specific but insensitive for the classification of CEA symptomatic status. Elastic net and random forest machine learning algorithms that included physician claims data were sensitive and specific, and are likely an improvement over current state of classification by discharge diagnosis alone.

Do postoperative telemedicine interventions with a communication feature reduce emergency department visits and readmissions?-a systematic review and meta-analysis

INTRODUCTION

Emergency department (ED) visits and readmissions after surgery are common and represent a significant cost-burden on the healthcare system. A notable portion of these unplanned visits are the result of expected complications or normal recovery after surgery, suggesting that improved coordination and communication in the outpatient setting could potentially prevent these. Telemedicine can improve patient-physician communication and as such may have a role in limiting unplanned emergency department visits and readmissions in postoperative patients.

METHODS

Major electronic databases were searched for randomized controlled trials and cohort studies in surgical patients examining the effect of postoperative telemedicine interventions with a communication feature on 30-day readmissions and emergency department visits as compared to current standard postoperative follow-up. All surgical subspecialties were included. Two independent reviewers assessed eligibility, extracted data, and evaluated risk of bias using standardized tools. Our primary outcomes of interest were 30-day ED visits and readmissions. Our secondary outcomes were patient satisfaction with the intervention.

RESULTS

29 studies were included in the final analysis. Fourteen studies were RCTs, and the remaining fifteen were cohort studies. Eighteen studies reported 30-day ED visit as an outcome. There was no overall reduction in 30-day ED visit in the telemedicine group (RR: 0.89, 95%CI: 0.70-1.12). Twenty-two studies reported 30-day readmission as an outcome. The overall pooled estimate did not show a difference in this outcome (RR: 0.90, 95%CI: 0.74-1.09). Fifteen studies reported a metric of patient satisfaction regarding utilization of the telemedicine intervention. All studies demonstrated high levels of satisfaction (> 80%) with the telemedicine intervention.

DISCUSSION

This review fails to demonstrate a clear reduction ED visits and readmissions to support use of a telemedicine intervention across the board. This may be in part explained by significant heterogeneity in the proportions of potentially preventable visits in each surgical specialty. As such, targeting interventions to specific surgical settings may prove most useful.

Predictors of 30-Day Unplanned Readmission After Carotid Artery Stenting Using Artificial Intelligence

Introduction

This study aimed to describe the rates and causes of unplanned readmissions within 30 days following carotid artery stenting (CAS) and to use artificial intelligence machine learning analysis for creating a prediction model for short-term readmissions. The prediction of unplanned readmissions after index CAS remains challenging. There is a need to leverage deep machine learning algorithms in order to develop robust prediction tools for early readmissions.

Methods

Patients undergoing inpatient CAS during the year 2017 in the US Nationwide Readmission Database (NRD) were evaluated for the rates, predictors, and costs of unplanned 30-day readmission. Logistic regression, support vector machine (SVM), deep neural network (DNN), random forest, and decision tree models were evaluated to generate a robust prediction model.

Results

We identified 16,745 patients who underwent CAS, of whom 7.4% were readmitted within 30 days. Depression [p < 0.001, OR 1.461 (95% CI 1.231–1.735)], heart failure [p < 0.001, OR 1.619 (95% CI 1.363–1.922)], cancer [p < 0.001, OR 1.631 (95% CI 1.286–2.068)], in-hospital bleeding [p = 0.039, OR 1.641 (95% CI 1.026–2.626)], and coagulation disorders [p = 0.007, OR 1.412 (95% CI 1.100–1.813)] were the strongest predictors of readmission. The artificial intelligence machine learning DNN prediction model has a C-statistic value of 0.79 (validation 0.73) in predicting the patients who might have all-cause unplanned readmission within 30 days of the index CAS discharge.

Conclusions

Machine learning derived models may effectively identify high-risk patients for intervention strategies that may reduce unplanned readmissions post carotid artery stenting.

Central Illustration

Figure 2: ROC and AUPRC analysis of DNN prediction model with other classification models on 30-day readmission data for CAS subjects

Supplementary Information

The online version contains supplementary material available at 10.1007/s12325-021-01709-7.

We present a novel deep neural network-based artificial intelligence prediction model to help identify a subgroup of patients undergoing carotid artery stenting who are at risk for short-term unplanned readmissions. Prior studies have attempted to develop prediction models but have used mainly logistic regression models and have low prediction ability. The novel model presented in this study boasts 79% capability to accurately predict individuals for unplanned readmissions post carotid artery stenting within 30 days of discharge.

High incidence of potentially preventable emergency department visits after major elective colorectal surgery

INTRODUCTION

Emergency department (ED) visits after surgery represent a significant cost burden on the healthcare system. Furthermore, many ED visits are related to issues of healthcare delivery services and may be avoidable. Few studies have assessed the reasons for ED visits after colorectal surgery. The main objectives of this study were to: (1) identify the reasons why patients presented to the ED within 30 postoperative days and (2) determine if these visits were potentially preventable.

METHODS

A retrospective chart review was conducted on elective major colorectal surgery cases performed in a single center between 01/2017 and 07/2019. Data collected included demographics, medical history, intraoperative details, postoperative complications, ED visits within 30 postoperative days, and readmissions. Each ED visit was assessed by two reviewers and graded on a scale adapted from the New York University ED algorithm. The gradings were: (1) non-emergent, (2) emergent but treatable in an ambulatory setting, (3) emergent/ED-care required but preventable if timely outpatient care was available, and (4) emergent/ED-care required and non-preventable. Grades 1-3 were deemed potentially preventable. Logistic regression identified independent predictors of potentially preventable visits.

RESULTS

Six hundred and twenty five patients were included in the final analysis. 110 (17.6%) patients presented to the ED within 30 days. The most common cause of ED visit were ileus/small bowel obstruction (SBO) (16.4%), superficial wound infection (15.5%), genitourinary issues (10.9%), and non-infectious gastrointestinal issues (nausea, malnutrition, diarrhea, high output stomas) (10.9%). After review, 51.8% of visits were considered potentially preventable (Grade 1-3). The most common causes of preventable ED visits were superficial wound infection (24.6%), non-infectious gastrointestinal issues (19.3%), and minor bleeding (14.0%). Creation of a new stoma was the only independent risk factor for potentially preventable ED visits (OR 2.14, 95%CI 1.03-4.47).

CONCLUSION

Approximately half of ED visits within 30 days of discharge were potentially preventable. These findings indicate a need to improve access to outpatient care to reduce preventable ED visits after elective colorectal surgery.

Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2021 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors related to cardiovascular disease.

RESULTS

Each of the 27 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Risk factors associated with 30-day hospital readmission after carotid endarterectomy

OBJECTIVE

The current study evaluated all-cause 30-day readmissions after carotid endarterectomy.

METHODS

Patients undergoing carotid endarterectomy were selected from the Cerner Health Facts® database using ICD-9-CM procedure codes from their index admission. Readmission within 30 days of discharge was determined. Chi-square analysis determined characteristics of the index admission (demographics, diagnoses, postoperative medications, and laboratory results) associated with readmission. Multivariate logistic regression models were used to identify characteristics independently associated with readmission.

RESULTS

In total, 5257 patients undergoing elective carotid endarterectomy were identified. Readmission within 30 days was 3.1%. After multivariable adjustment, readmission was associated with end-stage renal disease (OR: 3.21, 95% CI: 1.01-10.2), hemorrhage or hematoma (OR: 2.34, 95% CI: 1.15-4.77), procedural complications (OR: 3.07, 95% CI: 1.24-7.57), use of bronchodilators (OR: 1.48, 95% CI: 1.03-2.11), increased Charlson index scores (OR: 1.22, 95% CI: 1.08-1.38), and electrolyte abnormalities (hyponatremia < 135 mEq/L (OR: 1.69, 95% CI: 1.07-2.67) and hypokalemia less than 3.7 mEq/L (OR: 2.26, 95% CI: 1.03-4.98)).

CONCLUSIONS

Factors associated with readmission following carotid endarterectomy included younger age, increased comorbidity burden, end-stage renal disease, electrolyte disorders, the use of bronchodilators, and complications including bleeding (hemorrhage or hematoma). Of note, in this real-world study, only 40% of the patients received protamine, despite evidence-based literature demonstrating the reduced risk of bleeding complications. As healthcare moves towards quality of care-driven reimbursement, physician modifiable targets such as protamine utilization to reduce bleeding are greatly needed to reduce readmission, and failure to reduce preventable physician-driven complications after carotid interventions may be associated with decreased reimbursement.

Hidden Readmissions after Carotid Endarterectomy and Stenting

BACKGROUND

Historically, carotid procedures incur a readmission rate of approximately 6%; however, these studies are not nationally representative and are limited to tracking only the index hospitals. We sought to evaluate a nationally representative database for readmission rates (including different hospitals) after both carotid endarterectomy (CEA) and carotid artery stenting (CAS) and determine risk factors for poor outcomes including postoperative mortality and myocardial infarction.

METHODS

This study was a retrospective analysis utilizing the 2010-2014 Nationwide Readmissions Database to query patients aged >18 years undergoing CEA or CAS. Outcomes included initial admission mortality, and 30-day readmission, including mortality and myocardial infarction (MI). Univariable analysis of 39 demographic, clinical, and hospital variables was conducted with significance set at P < 0.05. Significant variables were included in a multivariable logistic regression to identify independent risk factors for readmission. Results were weighted for national estimates.

RESULTS

There were 527,622 patients undergoing carotid procedures and 13% (n = 69,187) underwent CAS. The 30-day readmission rate was 7% (n = 35,782), and of those, 25% (n = 8,862) were readmitted to a different hospital. When controlling for other factors, CAS was a risk factor for mortality at both index admission (odds ratio [OR] 2.29 [2.11-2.49]) and 30-day readmission (OR 1.48 [1.3-1.69]) and 30-day readmissions at both index hospital (OR 1.11 [1.07-1.14]) and different hospital (OR 1.38 [1.29-1.48]). Readmission to a different hospital increased mortality risk (OR 1.45 [1.29-1.63]) but did not have an effect on MI. Postoperative infections comprised 15% of readmissions while 6% of all readmissions were for stroke.

CONCLUSIONS

Previously unreported, one in 4 readmissions after carotid procedures occur at a different hospital and this fragmentation of care could increase mortality risk after carotid procedures particularly for CAS which was also an independent risk factor for postoperative mortality and readmissions. Further validation is required to decrease unnecessary hospital after carotid procedures.

Thirty-Day Readmissions After Carotid Artery Stenting Versus Endarterectomy: Analysis of the 2013-2014 Nationwide Readmissions Database

BACKGROUND

Contemporary, nationally representative 30-day readmissions data after carotid artery stenting (CAS) and carotid endarterectomy (CEA) are lacking.

METHODS

Patients undergoing CAS or CEA were identified from the 2013 to 2014 Nationwide Readmissions Databases. Propensity matching was used to balance baseline clinical characteristics. Thirty-day nonelective readmission rates, length of stay, and causes of readmission were compared.

RESULTS

Overall, 85 337 (national estimate of 194 332) patients were identified before propensity score matching, 11 490 (13.4%) of whom underwent CAS and 73 847 (86.6%) of whom underwent CEA. Crude 30-day readmission rates were higher for patients treated with CAS than CEA (8.3% versus 6.8%; P<0.001), but these differences were negated in the propensity-matched cohort (n=22 214; 8.4% versus 7.9%, P=0.20), and readmission length of stay was longer for CEA than CAS (2 versus 1 day, respectively; P=0.002). The most common reasons for readmission were neurological and cardiac events; readmission reasons varied by revascularization modality. Readmission due to a stroke or transient ischemic attack was more common among patients treated with CAS than CEA (1.2% versus 0.9%; P=0.042), while readmission for procedural or medical complications occurred more often following CEA than CAS (1.1% versus 0.5%; P<0.001); readmission rates for cardiac causes were similar between groups.

CONCLUSIONS

Less than 8% of patients are readmitted within 30 days of a carotid revascularization procedure. After adjusting for baseline differences, readmission rates are similar for CAS and CEA although readmission length of stay is longer after the latter. Readmission for neurological causes was more common following CAS while readmission for procedural or medical complications occurred more often following CEA. Higher annual institutional CEA volumes were associated with lower risk for 30-day readmission; in contrast, institutional CAS volumes were not related to readmission risk. These data provide important insights into the short-term, outcomes of patients following carotid artery revascularization.

Nationwide Trends in Carotid Endarterectomy and Carotid Artery Stenting in the Post-CREST Era

Background and Purpose—

The CREST (Carotid Revascularization Endarterectomy Versus Stenting Trial) demonstrated equivalent composite outcomes between carotid endarterectomy (CEA) and carotid artery stenting (CAS) for treating carotid stenosis. We investigated nationwide trends in these procedures and associated periprocedural stroke, myocardial infarction, death, cost, and readmission rates since CREST outcomes were published.

Methods—

We queried the Nationwide Readmissions Database to identify patients undergoing CEA and CAS for asymptomatic and symptomatic carotid stenosis from 2010 to 2015. Patients were matched based on demographics, comorbidities, and severity of illness.

Results—

In total, 378 354 CEA and 57 273 CAS patients were treated during this 6-year period. CEA volume decreased by an average of 2669 procedures annually ( P =0.001) with stable CAS volume ( P =0.225). After matching, CEA patients had a higher rate of periprocedural stroke than CAS patients, driven by increased stroke risk in symptomatic CEA patients (8.1% versus 5.6%; odds ratio, 1.47 [CI, 1.29–1.68]; P <0.001) but a lower rate of overall inpatient mortality (0.8% versus 1.4%; odds ratio, 0.57 [CI, 0.48–0.68]; P <0.001). CEA patients were less likely to be readmitted within 30 days (7.2% versus 8.0%; odds ratio, 0.90 [CI, 0.84–0.96]; P =0.018) and 90 days (12.3% versus 14.1%; odds ratio, 0.86 [CI, 0.81–0.90]; P <0.001), and mean hospital costs were lower for CEA compared with CAS ($14 433 versus $19 172; P <0.001).

Conclusions—

The procedural treatment of carotid stenosis has changed dramatically in the post-CREST era. When matched for characteristics and illness severity, patients undergoing CEA had a higher rate of perioperative stroke than patients undergoing CAS, primarily among symptomatic patients. These findings are in contrast to the findings of CREST, which showed nearly twice the risk of stroke in CAS patients compared with CEA patients. CEA was associated with lower procedure cost and readmission rate.

Heart Disease and Stroke Statistics-2020 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports on the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2020 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, metrics to assess and monitor healthy diets, an enhanced focus on social determinants of health, a focus on the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors, implementation strategies, and implications of the American Heart Association's 2020 Impact Goals.

RESULTS

Each of the 26 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, healthcare administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Evaluating Quality Metrics and Cost After Discharge: A Population-based Cohort Study of Value in Health Care Following Elective Major Vascular Surgery

BACKGROUND

Early readmission to hospital after surgery is an omnipresent quality metric across surgical fields. We sought to understand the relative importance of hospital readmission among all health services received after hospital discharge.

OBJECTIVE

The aim of this study was to characterize 30-day postdischarge cost and risk of an emergency department (ED) visit, readmission, or death after hospitalization for elective major vascular surgery.

METHODS

This is a population-based retrospective cohort study of patients who underwent elective major vascular surgery - carotid endarterectomy, EVAR, open AAA repair, bypass for lower extremity peripheral arterial disease - in Ontario, Canada, between 2004 and 2015. The outcomes of interest included quality metrics - ED visit, readmission, death - and cost to the Ministry of Health, within 30 days of discharge. Costs after discharge included those attributable to hospital readmission, ED visits, rehab, physician billing, outpatient nursing and allied health care, medications, interventions, and tests. Multivariable regression models characterized the association of pre-discharge characteristics with the above-mentioned postdischarge quality metrics and cost.

RESULTS

A total of 30,752 patients were identified. Within 30 days of discharge, 2588 (8.4%) patients were readmitted to hospital and 13 patients died (0.04%). Another 4145 (13.5%) patients visited an ED without requiring admission. Across all patients, over half of 30-day postdischarge costs were attributable to outpatient care. Patients at an increased risk of an ED visit, readmission, or death within 30 days of discharge differed from those patients with relatively higher 30-day costs.

CONCLUSION

Events occurring outside the hospital setting should be integral to the evaluation of quality of care and cost after hospitalization for major vascular surgery.

Socioeconomic Disparities in Carotid Revascularization Procedures

OBJECTIVES

Several studies have demonstrated healthcare disparities in postoperative outcomes after carotid endarterectomy and carotid artery stenting, including increased hospital mortality, postoperative stroke, and readmission rates. The objective of the present study was to examine the intersectionality between race/ethnicity, insurance status, and postoperative outcomes in carotid procedures.

DESIGN

Records of adults from 2007 to 2014 were retrospectively identified, and patients with appropriate International Classification of Diseases Ninth Revision Clinical Modification codes for carotid endarterectomy or carotid artery stenting were identified. Primary outcomes were unadjusted rates and adjusted odds ratios (aORs) of postoperative in-hospital mortality, stroke, combined stroke/mortality, and cardiovascular complications.

SETTING

Data were sourced from the State Inpatient Databases data from California, Florida, Kentucky, Maryland, and New York during the years 2007 to 2014.

PARTICIPANTS

Patients undergoing carotid revascularization procedures.

INTERVENTIONS

The effects of race and insurance status as independent variables and as effect modifiers on postoperative outcomes.

MEASUREMENTS AND MAIN RESULTS

Multivariable logistic regression models were used to examine the associations between race and/or insurance status with respect to study outcomes. Race, but not payer status, was significantly associated with adverse outcomes after carotid artery procedures, with blacks, Hispanics, and other non-Caucasian races demonstrating a significantly greater risk of postoperative stroke and mortality (aOR range 1.24-1.59). This relationship persisted even when stratified by procedure type (aOR range 1.25-1.56) and symptomatology (aOR range 1.51-1.63).

CONCLUSIONS

These results suggest that disparities in postoperative outcomes after carotid artery procedures are associated with race but not with primary insurance status. Multiple contributing factors exist, including racial inequities in prevalence of comorbidities, health literacy, and procedure type performed.

Identifying Populations at Risk for Child Abuse: A Nationwide Analysis

PURPOSE

Child abuse is a national, often hidden, epidemic. The study objective was to determine at-risk populations that have been previously hospitalized prior to their admission for child abuse.

METHODS

The Nationwide Readmissions Database (NRD) was queried for all children hospitalized for abuse. Outcomes were previous admissions and diagnoses. χ² analysis was used; significance equals p < 0.05.

RESULTS

31,153 children were hospitalized for abuse (half owing to physical abuse) during the study period. 11% (n = 3487) of these children had previous admissions (one in three to a different hospital), while 3% (n = 1069) had multiple hospitalizations. 60% of prior admissions had chronic conditions, and 12% had traumatic injuries. Children with chronic conditions were more likely to have sexual abuse (89% vs. 57%, p < 0. 001) and emotional abuse (75% vs. 60%, p < 0. 01). 25% of chronic diagnoses were psychiatric, who were also more likely to have sexual and emotional abuse (47% vs. 5.5% and 10% vs. 1%, all p < 0. 001).

CONCLUSION

This study uncovers a hidden population of children with past admissions for chronic conditions, especially psychiatric diagnoses that are significantly associated with certain types of abuse. Improved measures to accurately identify at-risk children must be developed to prevent future childhood abuse and trauma.

LEVEL OF EVIDENCE

Level III.

TYPE OF STUDY

Retrospective comparative study.

Predictors of Recurrent Hospitalizations and the Importance of These Hospitalizations for Subsequent Mortality After Incident Transient Ischemic Attack

BACKGROUND

We examined predictors of recurrent hospitalizations and the importance of these hospitalizations for subsequent mortality after incident transient ischemic attacks (TIA) that have not yet been investigated.

METHODS

Adults hospitalized for TIA from 2000 through 2017 were examined for recurrent hospitalizations, days, and percentage of time spent hospitalized and long-term mortality.

RESULTS

Of 266 patients hospitalized for TIA, 122 died, 212 had 826 anycondition hospitalization (59 from TIA-related conditions) corresponding to 3384 inpatient days during 1693 person-years of follow-up. Of 42 patient-level characteristics, age greater than or equal to 65 years (Incidence rate ratio [IRR] 1.75, 95% confidence interval [CI] 1.19-2.55), current smoking (IRR 2.15, 95% CI 1.39-3.33), concurrent heart failure (IRR 1.81, 95% CI 1.17-2.80) or anemia (IRR 1.90, 95% CI 1.40-2.48), and no prescription statin (IRR 1.45, 95% CI 1.04-2.03, P = .0289) emerged as significant predictors of anycondition rehospitalization. All these variables except heart failure remained significant predictors of TIA-related rehospitalizations. All-cause mortality was significantly increased after each hospitalization from anycondition (hazard ratio [HR] 1.32, 95% CI 1.26-1.39), TIA-related condition (HR 1.72; 95% CI 1.28-2.30), and per each day (HR 1.05, 95% CI 1.04-1.05) and per 1% of follow-up time spent hospitalized from anycondition (HR 1.45, 95% CI 1.34-1.58).

CONCLUSIONS

Older age, current tobacco smoking, concurrent heart failure or anemia, and no prescription statin, easily measured patient-level characteristics, identifies patients with TIA at high risk for recurrent hospitalizations and the burden of these hospitalizations predicts subsequent mortality.

Thirty-day Readmission Rates for Carotid Endarterectomy Versus Carotid Artery Stenting

BACKGROUND

Because of the emergence of readmission-related Medicare penalties, efforts are being made to identify and reduce patient readmissions. The purpose of this study was to compare rates and risk factors for 30-d readmission and hospital length of stay (LOS) after carotid endarterectomy (CEA) and carotid artery stenting (CAS) among patients treated for carotid artery stenosis in Pennsylvania.

MATERIALS AND METHODS

Data were from the Pennsylvania Health Care Cost Containment Council (PHC4). We identified 15,966 patients who underwent CEA (n = 13,557) or CAS (n = 2409) in Pennsylvania between 2011 and 2014. Logistic regression was used to determine risk factors for 30-d readmission, whereas linear regression was used to model factors influencing LOS. Propensity score analysis was used to control for imbalanced covariates between procedures.

RESULTS

Thirty-day readmission rates in Pennsylvania after CEA and CAS for carotid artery stenosis were similar (9.8% and 9.6%, respectively; P = 0.794). Not home discharge destination, Charlson comorbidity index ≥2, and LOS >1 d were all significantly associated with readmission risk. Procedure type (CEA or CAS) did not significantly influence risk. A significant difference in LOS was found between CEA and CAS, but the magnitude of the difference was small (2.38 for CAS versus 2.59 for CEA; P = 0.007). Black race, urgent and emergent cases, and not home discharges significantly increased LOS by notable amounts (1, 1.5, 3.9, and 1.9 d, respectively).

CONCLUSIONS

Carotid artery stenosis patients in Pennsylvania undergoing CEA or CAS had similar 30-d readmission rates. Although LOS was significantly different, the magnitude of the difference was not large.

Examining variation in Medicare payments and drivers of cost for carotid endarterectomy

BACKGROUND

There is a growing interest in providing high quality and low-cost care to Americans. A pursuit exists to measure not only how well hospitals are performing but also at what cost. We examined the variation in costs associated with carotid endarterectomy (CEA), to determine which components contribute to the variation and what drives increased payments.

MATERIALS AND METHODS

Patients undergoing CEA between 2009 and 2012 were identified in the Medicare provider and analysis review database. Hospital quintiles of cost were generated and variation examined. Multivariable logistic regression was performed to identify independent predictors of high-payment hospitals for both asymptomatic and symptomatic patients undergoing CEA.

RESULTS

A total of 264,018 CEAs were performed between 2009 and 2012; 250,317 were performed in asymptomatic patients in 2302 hospitals and 13,701 in symptomatic patients in 1851 hospitals. Higher payment hospitals had a higher percentage of nonwhite patients and comorbidity burden. The largest contributors to variation in overall payments were diagnosis-related groups, postdischarge, and readmission payments. After accounting for clustering at the hospital level, independent predictors of high-payment hospitals for all patients were postoperative stroke, length of stay, and readmission ,whereas in the symptomatic group, additional drivers included yearly volume and serious complications.

CONCLUSIONS

CEA Medicare payments vary nationwide with diagnosis-related group, readmission, and postdischarge payments being the largest contributors to overall payment variation. In addition, stroke, length of stay, and readmission were the only independent predictors of high payment for all patients undergoing CEA.