Timing and Causes of Unplanned Readmissions After Percutaneous Coronary Intervention: Insights From the Nationwide Readmission Database

Effect of apixaban versus vitamin K antagonist and aspirin versus placebo on days alive and out of hospital: An analysis from AUGUSTUS

BACKGROUND

Clinical trials of antithrombotic agents typically use separate time-to-event analyses for bleeding and ischemic events, but this framework has limitations. Days alive and out of hospital (DAOH) is an alternative that may provide additional insight. We assessed the utility of DAOH as a clinical trial endpoint among patients with atrial fibrillation and acute coronary syndrome or percutaneous coronary intervention METHODS: AUGUSTUS, a randomized clinical trial, compared apixaban with warfarin and aspirin with placebo in 4614 patients with atrial fibrillation and acute coronary syndrome or percutaneous coronary intervention. We used Poisson regression with a robust variance estimate to compare DAOH by treatment group.

RESULTS

Mean (SD) DAOH was 168 (31); median (IQR) was 177 (169-180); 75% of patients neither died nor were hospitalized. Mean (SD) DAOH was 169 (28) with apixaban + placebo, 168 (29) with apixaban + aspirin, 168 (33) with warfarin + placebo, and 167 (33) with warfarin + aspirin. There were no significant differences in the rate ratio for DAOH for apixaban vs. warfarin (RR 1.00, 95% CI 0.99-1.01) or aspirin vs. placebo (RR 1.00, 95% CI 1.00-1.01). Compared with warfarin, apixaban increased the proportion of patients who neither died nor were hospitalized during follow-up (76.8 vs. 73.3%; OR 0.83, 95% CI 0.73-0.95).

CONCLUSION

In this analysis of AUGUSTUS, there was no difference in DAOH by treatment arm. These findings contrast with time-to-event analyses, which showed lower rates of major bleeding and hospitalization with apixaban and placebo. DAOH may not be very a useful measure of effects of antithrombotic therapies in this population.

TRIAL REGISTRATION

clinicaltrials.gov; NCT02415400; https://clinicaltrials.gov/study/NCT02415400.

Study on the management effect of chronic disease intelligent information management platform in post percutaneous coronary intervention patients

BACKGROUND

In 2019, approximately 330 million individuals in China were affected by cardiovascular diseases, with 11.4 million cases specifically attributed to coronary artery disease (CAD). A national public health report indicated that the mortality rate for CAD ranged from 121.59 to 130.14 per 100,000 individuals in 2019. The treatments for CAD include lifestyle changes, medications, percutaneous coronary intervention (PCI) and coronary artery bypass grafting.

OBJECTIVE

To investigate the management effect of a digital health program in patients with coronary artery disease (CAD) after percutaneous coronary intervention (PCI).

METHODS

This retrospective study compares blood pressure, blood glucose, low-density lipoprotein cholesterol (LDL-C), medication adherence, lifestyle modification, and readmission rate between digital health users and traditional follow-up in post-PCI CAD patients.

RESULTS

In this study of 698 CAD patients, the 6-month readmission rate of all patients was 27.4%, with digital health users showing lower rates than those in traditional follow-up (22.6% vs. 32.1%, p= 0.005). Digital health users had significantly higher target achievements rates in blood pressure (79.7% vs. 54.7%, p< 0.001), blood glucose (98.9% vs. 82.5%, p< 0.001) and LDL-C level (71.3% vs. 52.7%, p< 0.001) at 6-month post-PCI. The digital health group had more patients adopting lifestyle changes, including quitting smoking, maintaining a healthy diet, and exercising regularly. In risk factor analysis, digital health utilization (OR = 0.60, 95%CI: 0.40-0.90, p= 0.014) and multivessel disease (double: OR = 1.72, 95%CI: 1.09-2.72, p= 0.02; triple: OR = 2.59, 95%CI: 1.61-4.17, p< 0.001) were independent predictors of CAD-related cardiovascular readmissions.

CONCLUSIONS

Post-PCI patients using digital health platforms exhibited improved blood pressure, glucose, and LDL-C control, greater treatment adherence, enhanced lifestyle changes, and reduced six-month readmission rates versus those with traditional follow-up.

Readmissions After Left Atrial Appendage Closure in Patients With Previous Ischemic Stroke or Transient Ischemic Attack

BACKGROUND

We examined the frequency and risk factors associated with readmission after left atrial appendage closure (LAAC) in patients with and without previous ischemic stroke and/or transient ischemic attack (TIA).

METHODS

Hospitalizations for LAAC were identified from the US National Readmission Database, 2016-2018. The primary outcome was the first unplanned readmission after LAAC, with readmission times stratified into those occurring within 0 to 30 days vs within 31 to 180 days. Patients were stratified based on the history of previous stroke and/or TIA.

RESULTS

Of 12,901 discharges after LAAC, 28% had previous stroke and/or TIA, and 8.2% had a readmission within 30 days while 18% had a readmission within 31 to 180 days. The rates of in-hospital complications and readmissions at both periods were not significantly different between individuals with vs without previous stroke and/or TIA. Cardiac causes accounted for 28% of readmissions within 30 days and 32% of those within 31 to 180 days, and congestive failure, bleeding, and infections were the most common readmission diagnoses. New stroke and/or TIA accounted for 4% and 6% of the total noncardiac readmissions within 30 days and 31 to 180 days, respectively, and the incidence was higher among those with previous stroke and/or TIA. Female sex and index hospitalization length of stay (LOS) > 1 day were factors independently associated with readmission within 30 days, whereas LOS, diabetes, renal disease, chronic obstructive pulmonary disease, and anemia were among the factors associated with readmissions within 31 to 180 days.

CONCLUSIONS

Unplanned rehospitalizations were common after LAAC and had similar frequency for patients with vs without previous ischemic stroke and/or TIA. Female sex and index hospitalization LOS > 1 day were among the strongest factors that were independently associated with readmission within 30 days.

Obesity Metabolic Phenotypes and Unplanned Readmission Risk in Diabetic Kidney Disease: An Observational Study from the Nationwide Readmission Database

BACKGROUND AND AIM

Obesity is a potentially modifiable factor for reducing readmissions, with heterogeneity that varies according to the metabolic status. Our objective was to examine the independent or mutual relationship between obesity and metabolic abnormalities and diabetic kidney disease (DKD)-related hospitalizations.

METHODS

493,570 subjects with DKD were enrolled in the 2018 Nationwide Readmission Database (NRD, United States). The at-risk population was reclassified into refined obesity subtypes based on the body mass index (BMI) classification of metabolic abnormalities (hypertension and/or dyslipidemia) to investigate the 180 d readmission risk and hospitalization costs related to DKD.

RESULTS

The overall readmission rate was 34.1%. Patients with metabolic abnormalities, regardless of obesity, had a significantly higher risk of readmission compared to non-obese counterparts (adjusted HR, 1.11 [95% CI, 1.07-1.14]; 1.12 [95% CI, 1.08-1.15]). Hypertension appeared to be the only metabolic factor associated with readmission among individuals with DKD. Obesity without metabolic abnormalities was independently associated with readmission (adjusted HR,1.08 [1.01,1.14]), especially among males and those >65 years (adjusted HR,1.10 [1.01-1.21]; 1.20 [1.10-1.31]). Women or those ≤65 years with metabolic abnormalities (all p <0.050) had elevated readmission rates, regardless of obesity; however, no such trend was observed in obese subjects without metabolic abnormalities (adjusted HR, 1.06 [0.98,1.16]). Additionally, obesity and metabolic abnormalities were associated with elevated hospitalization costs (all p <0.0001).

CONCLUSIONS

Increased BMI and hypertension are positively associated with readmissions and related costs among patients with DKD, which should be considered in future studies.

Unplanned readmissions after Impella mechanical circulatory support

BACKGROUND

Early readmissions significantly impact on patient-wellbeing, burden the health-care system, and are important quality metrics. Data on 30-day readmission following Impella mechanical circulatory support (MCS) are unknown. We aimed to assess the rates, causes and clinical outcomes associated with 30-day unplanned readmissions after Impella mechanical circulatory support (MCS).

METHODS

Discharged patients who underwent Impella MCS between 2016 and 2019 in the U.S. Nationwide Readmission Database were analyzed. Incidence, causes, and outcomes associated with 30-day unplanned readmissions were assessed.

RESULTS

Of 22,055 patients who received Impella MCS, 2685 (12.2%) experienced 30-day readmissions. Cardiac readmissions accounted for 51.7% compared to 48.3% of non-cardiac readmissions, and most (70%) patients were readmitted back to the index hospital. Heart failure was the leading cause of cardiac readmissions accounting for 25% of them, whereas infections were the most common cause among non-cardiac readmissions. Patients who were readmitted were significantly older (median age 71 versus 68 years), more likely to be female (31% versus 26%) and had a shorter length-of-stay (index hospitalization, median 8 versus 9 days) compared to those who were not readmitted. Factors independently associated with 30-day readmissions were chronic renal (aOR: 1.46, 95% CI: 1.35-1.57), pulmonary (aOR: 1.23, 95% CI: 1.15-1.33), and liver disease (aOR: 1.38, 95% CI: 1.17-1.63), anemia (aOR: 1.35, 95% CI: 1.26-1.46), female sex (aOR: 1.21, 95% CI: 1.12-1.30), index admission on weekends (aOR: 1.23, 95% CI: 1.13-1.34), STEMI diagnosis (aOR: 1.16, 95% CI: 1.02-1.31), major adverse event during index hospitalization (aOR: 1.11, 95% CI: 1.00-1.24), prolonged length-of-stay (median 9 vs. 8 days, P < 0.001), and discharge against medical advice (aOR: 2.06, 95% CI: 1.37-3.09). Significantly higher mortality rates were overserved during readmissions to a hospital different than the MCS implanting hospital (12% versus 5.9%, P < 0.001).

CONCLUSION

Thirty-day readmissions after Impella MCS are relatively common and relate to sex, baseline comorbidities, presentation, expected primary payer, discharge destination and initial length of hospital stay. Heart failure was the leading cause of cardiac readmissions, whereas infections were the most common cause among non-cardiac readmissions. Most patients were readmitted to the same hospital as their index admission for MCS. Higher mortality rates were observed when patients were readmitted to a different hospital.

Challenges and Burdens in the Coronary Artery Disease Care Pathway for Patients Undergoing Percutaneous Coronary Intervention: A Contemporary Narrative Review

Clinical and economic burdens exist within the coronary artery disease (CAD) care pathway despite advances in diagnosis and treatment and the increasing utilization of percutaneous coronary intervention (PCI). However, research presenting a comprehensive assessment of the challenges across this pathway is scarce. This contemporary review identifies relevant studies related to inefficiencies in the diagnosis, treatment, and management of CAD, including clinician, patient, and economic burdens. Studies demonstrating the benefits of integration and automation within the catheterization laboratory and across the CAD care pathway were also included. Most studies were published in the last 5-10 years and focused on North America and Europe. The review demonstrated multiple potentially avoidable inefficiencies, with a focus on access, appropriate use, conduct, and follow-up related to PCI. Inefficiencies included misdiagnosis, delays in emergency care, suboptimal testing, longer procedure times, risk of recurrent cardiac events, incomplete treatment, and challenges accessing and adhering to post-acute care. Across the CAD pathway, this review revealed that high clinician burnout, complex technologies, radiation, and contrast media exposure, amongst others, negatively impact workflow and patient care. Potential solutions include greater integration and interoperability between technologies and systems, improved standardization, and increased automation to reduce burdens in CAD and improve patient outcomes.

Thirty-Day Unplanned Readmissions Following Elective and Acute Percutaneous Coronary Intervention

BACKGROUND

Prior studies have reported a high rate of unplanned readmissions following acute percutaneous coronary intervention (PCI). Data outside the USA comparing 30-day unplanned readmissions following elective PCI to those who undergo acute PCI remain limited.

METHODS

Patients who underwent a PCI procedure in Australia and New Zealand between 2010 and 2015 were included. We determined the rates, causes and predictors of 30-day unplanned readmissions, as well as rates of repeat revascularisation procedures, for patients who underwent an elective or acute PCI. Predictors of readmissions were identified using logistic regression.

RESULTS

A total of 199,686 PCI encounters were included, of which 74,890 (37.5%) were elective and 124,796 (62.5%) were acute procedures. Overall, 10.6% of patients had at least one unplanned readmission within 30 days of discharge with lower rates following elective PCI (7.0%) compared to acute PCI (12.7%) (p<0.01). Non-specific chest pain was the commonest cause of readmission after elective and acute PCI, accounting for 20.7% and 21.5% of readmission diagnoses, respectively. Readmissions for acute myocardial infarction (13.0% vs 4.6%, p<0.01) and heart failure (6.5% vs 3.3%, p<0.01) were higher following acute PCI compared to elective PCI. Among readmitted patients, 16.7% had a coronary catheterisation, 12.2% had a PCI and 0.7% had coronary artery bypass surgery. Multivariable predictors of 30-day unplanned readmission included female sex and comorbidities such as heart failure, metastatic disease, chronic lung disease and renal failure (p<0.0001 for all).

CONCLUSIONS

Unplanned readmissions following elective or acute PCI are high. Clinical and quality-control measures are required to prevent avoidable readmissions in both settings.

Early vs. Late Readmission following Percutaneous Coronary Intervention: Predictors and Impact on Long-Term Outcomes

BACKGROUND

Readmissions within 1 year after percutaneous coronary intervention (PCI) are common (18.6-50.4% in international series) and a burden to patients and health services, however their long-term implications are not well characterised. We compared predictors of 30-day (early) and 31-day to 1-year (late) unplanned readmission and the impact of unplanned readmission on long-term clinical outcomes post-PCI.

METHODS

Patients enrolled in the GenesisCare Cardiovascular Outcomes Registry (GCOR-PCI) from 2008 to 2020 were included in the study. Multivariate logistic regression analysis was performed to identify predictors of early and late unplanned readmission. A Cox proportion hazards regression model was used to explore the impact of any unplanned readmission during the first year post-PCI on the clinical outcomes at 3 years. Finally, patients with early and late unplanned readmission were compared to determine which group was at the highest risk of adverse long-term outcomes.

RESULTS

The study comprised 16,911 consecutively enrolled patients who underwent PCI between 2009-2020. Of these, 1422 patients (8.5%) experienced unplanned readmission within 1-year post-PCI. Overall, the mean age was 68.9 ± 10.5 years, 76.4% were male and 45.9% presented with acute coronary syndromes. Predictors of unplanned readmission included increasing age, female gender, previous CABG, renal impairment and PCI for acute coronary syndromes. Unplanned readmission within 1 year of PCI was associated with an increased risk of MACE (adjusted HR 1.84 (1.42-2.37), p < 0.001) and death over a 3-year follow-up (adjusted HR 1.864 (1.34-2.59), p < 0.001) compared with those without readmission within 1-year post-PCI. Late compared with early unplanned readmission within the first year of PCI was more frequently associated with subsequent unplanned readmission, MACE and death between 1 and 3 years post-PCI.

CONCLUSIONS

Unplanned readmissions in the first year following PCI, particularly those occurring more than 30 days after discharge, were associated with a significantly higher risk of adverse outcomes, such as MACE and death at 3 years. Strategies to identify patients at high risk of readmission and interventions to reduce their greater risk of adverse events should be implemented post-PCI.

Incidence and prognosis of late readmission after percutaneous coronary intervention

BACKGROUND

Early readmission (< 30 days) after percutaneous coronary intervention (PCI) is associated with a worse prognosis, but little is known regarding the causes and consequences of late readmission. The aim of the present study was to determine the incidence, causes, and prognosis of patients readmitted > 1 < 12-months after PCI (late readmission).

METHODS

Single-center retrospective cohort study of 743 consecutive post-PCI patients. Patient characteristics and follow-up data were collected by reviewing their electronic medical records and from standardized telephone interviews performed at 1 year and at the end of follow-up.

RESULTS

Of the 743 patients, 224 (30.14%) were readmitted 1-12 months after PCI, 109 due to chest pain (48.66%), and 115 for other reasons (51.34%). Hospital readmission was associated with lower survival rates of 77.6% vs. 98.3% at 24 months and 73.5% vs. 97.6% at 36 months (p < 0.001). Univariate predictors for late readmission were hypertension, older age, chronic kidney disease, lower left ventricular ejection fraction, and lower baseline hemoglobin concentration. Only baseline hemoglobin concentration was an independent predictor of late readmission (odds ratio: 0.867, 95% confidence interval: 0.778-0.966, p = 0.01). Readmission for chest pain portrayed a lower mortality rate compared to other causes, with survival rates of 90.2% vs. 50% at 36 months (p < 0.001).

CONCLUSIONS

Late hospital readmission after PCI is associated with a worse prognosis and is related to patient comorbidities. Readmission for chest pain is common and portrayed a more favorable prognosis, similar to patients not readmitted. A readily available parameter, baseline anemia, was the main predictor of late readmission.

The Association of Sex with Unplanned Cardiac Readmissions following Percutaneous Coronary Intervention in Australia: Results from a Multicentre Outcomes Registry (GenesisCare Cardiovascular Outcomes Registry)

Background and aim: Unplanned cardiac readmissions in patients with percutaneous intervention (PCI) is very common and is seen as a quality indicator of in-hospital care. Most studies have reported on the 30-day cardiac readmission rates, with very limited information being available on 1-year readmission rates and their association with mortality. The aim of this study was to investigate the impact of biological sex at 1-year post-PCI on unplanned cardiac readmissions. Methods and results: Patients enrolled into the GenesisCare Cardiovascular Outcomes Registry (GCOR-PCI) from December 2008 to December 2020 were included in the study. A total of 13,996 patients completed 12 months of follow-up and were assessed for unplanned cardiac readmissions. All patients with unplanned cardiac readmissions in the first year of post-PCI were followed in year 2 (post-PCI) for survival status. The rate of unplanned cardiac readmissions was 10.1%. Women had a 29% higher risk of unplanned cardiac readmission (HR 1.29, 95% CI 1.11 to 1.48; p = 0.001), and female sex was identified as an independent predictor of unplanned cardiac readmissions. Any unplanned cardiac readmission in the first year was associated with a 2.5-fold higher risk of mortality (HR 2.50, 95% CI 1.67 to 3.75; p < 0.001), which was similar for men and women. Conclusion: Unplanned cardiac readmissions in the first year post-PCI was strongly associated with increased all-cause mortality. Whilst the incidence of all-cause mortality was similar between women and men, a higher incidence of unplanned cardiac readmissions was observed for women, suggesting distinct predictors of unplanned cardiac readmissions exist between women and men.

Outcomes and Readmission in Patients With Retinal Artery Occlusion (from the Nationwide Readmission Database)

Retinal artery occlusion (RAO) is an ophthalmologic emergency, leading to sudden vision loss. Understanding its risk factors and garnering information on the incidence of adverse events can provide helpful information on the cost-effective evaluation of patients and secondary prevention. In this retrospective cohort study, we used the Nationwide Readmission Database from 2016 to 2018 and queried the database to identify patients with RAO. The clinical outcomes were cumulative incidence of myocardial infarction (MI), stroke, death (in-hospital and 6 months after discharge), resource utilization, all-cause readmission at 6 months, and reasons for all-cause readmission. We identified a total of 14,527 patients with RAO. The mean age of patients with RAO was 69 ± 13 years. Hypertension (11,839, 82%), hyperlipidemia (8,868, 61%), ischemic cardiomyopathy (4,826, 33%), smoking (4,772, 33%), and diabetes (4,588, 32%) were common co-morbidities in patients with RAO. Of 14,527 patients with RAO, 308 patients (2.1%) died, 1,577 (10.9%) developed stroke, and 615 (4.2%) developed MI within 6 months. A total of 2,841 patients (24.9%) were readmitted within 6 months of discharge. Carotid artery stenosis (386, 10.8%) was the most common cause of readmission. History of stroke or transient ischemic attack and Elixhauser co-morbidity index ≥3 were predictors of stroke. Female gender, ischemic cardiomyopathy, carotid artery disease, heart failure, chronic kidney disease, and cancer were predictors of MI. Cancer, chronic kidney disease, Elixhauser co-morbidity index ≥3, Medicare/Medicaid payer status, nonelective index admission, atrial fibrillation, and carotid artery disease were predictors of 6-month all-cause readmission. In conclusion, patients with RAO have a significant burden of co-morbidities, death, stroke, MI, and readmission. RAO may be used as a clinical marker of future stroke and MI, and should trigger screening for acute vascular ischemic events.

Readmission in Patients With ST-Elevation Myocardial Infarction in 4 Age Groups (<45, >45 to <60, 60 to <75, and >75)

The incidence of ST-elevation myocardial infarction (STEMI) among younger adults is increasing due to an increased prevalence of cardiometabolic risk factors. Readmissions after STEMI in young patients could lead to substantial health care costs and a significant burden on health care resources. Although STEMI readmissions are well studied in elderly patients, limited data are available regarding readmissions after STEMI in young patients and the etiologies remain poorly understood. Because younger patients with STEMI have different sociodemographic profiles th;an older patients with STEMI, one would postulate that the risk factors for readmissions in young patients would differ from that reported in the older patients with STEMI. We performed a contemporary nationwide study using the 2016 and 2017 Nationwide Readmissions Database to identify patterns of readmissions after STEMI in the young adult population. Our analysis of the Nationwide Readmissions Database revealed a total of 243,747 hospitalizations for STEMI between 2016 and 2017. Readmission rates demonstrated a steady increase from discharge, increasing to 7.8% at 30 days and 10.3% at 60 days before relatively plateauing at 12.1% at 90 days. Cardiovascular etiologies were the most common cause of readmission (53.6%). After multivariable analysis, development of cardiogenic shock (adjusted odds ratio 1.48, 95% confidence interval 1.11 to 1.97; p = 0.008) and acute renal failure (adjusted odds ratio 1.46, 95% confidence interval 1.14 to 1.87; p = 0.003) during the index admission were associated with significantly higher rates of readmission. In conclusion, close monitoring in young patients who presented with STEMI and concomitant with cardiogenic shock or acute renal failure, and possibly, aggressive therapy during index admission may be needed. However, this population may be heterogeneous and further research is needed.

Readmission After ACS: Burden, Epidemiology, and Mitigation

PURPOSE OF REVIEW

The past decade has brought increased efforts to better understand causes for ACS readmissions and strategies to minimize them. This review seeks to provide a critical appraisal of this rapidly growing body of literature.

RECENT FINDINGS

Prior to 2010, readmission rates for patients suffering from ACS remained relatively constant. More recently, several strategies have been implemented to mitigate this including improved risk assessment models, transition care bundles, and development of targeted programs by federal organizations and professional societies. These strategies have been associated with a significant reduction in ACS readmission rates in more recent years. With this, improvements in 30-day post-discharge mortality rates are also being appreciated. As we continue to expand our knowledge on independent risk factors for ACS readmissions, further strategies targeting at-risk populations may further decrease the rate of readmissions. Efforts to understand and reduce 30-day ACS readmission rates have resulted in overall improved quality of care for patients.

Understanding Patients' Intention to Use Digital Health Apps That Support Postdischarge Symptom Monitoring by Providers Among Patients With Acute Coronary Syndrome: Survey Study

Background

After hospital discharge, patients with acute coronary syndrome (ACS) often experience symptoms that prompt them to seek acute medical attention. Early evaluation of postdischarge symptoms by health care providers may reduce unnecessary acute care utilization. However, hospital-initiated follow-up encounters are insufficient for timely detection and assessment of symptoms. While digital health tools can help address this issue, little is known about the intention to use such tools in ACS patients.

Objective

This study aimed to assess ACS patients’ intention to use digital health apps that support postdischarge symptom monitoring by health care providers and identify patient-perceived facilitators and barriers to app use.

Methods

Using email invitations or phone calls, we recruited ACS patients discharged from a central Massachusetts health care system between December 2020 and April 2021, to participate in the study. Surveys were delivered online or via phone to individual participants. Demographics and access to technology were assessed. The intention to use a symptom monitoring app was assessed using 5-point Likert-type (from strongly agree to strongly disagree) items, such as “If this app were available to me, I would use it.” Responses were compared across demographic subgroups and survey delivery methods. Two open-ended questions assessed perceived facilitators and barriers to app use, with responses analyzed using qualitative content analysis.

Results

Among 100 respondents (response rate 8.1%), 45 (45%) completed the survey by phone. The respondents were on average 68 years old (SD 13 years), with 90% (90/100) White, 39% (39/100) women, and 88% (88/100) having access to the internet or a mobile phone. Most participants (65/100, 65%) agreed or strongly agreed that they would use the app, among which 53 (82%) would use the app as often as possible. The percentage of participants with the intention to use the app was 75% among those aged 65-74 years and dropped to 44% among those older than 75 years. The intention to use was higher in online survey respondents (vs phone survey respondents; odds ratio 3.07, 95% CI 1.20-7.88) after adjusting for age and access to technology. The analysis of open-ended questions identified the following 4 main facilitators (motivations): (1) easily reaching providers, (2) accessing or providing information, (3) quickly reaching providers, and (4) consulting providers for symptoms, and the following 4 main barriers: (1) privacy/security concerns, (2) uncomfortable using technology, (3) user-unfriendly app interface, and (4) preference for in-person/phone care.

Conclusions

There was a strong intention to use a symptom monitoring app postdischarge among ACS patients. However, this intent decreased in patients older than 75 years. The survey identified barriers related to technology use, privacy/security, and the care delivery mode. Further research is warranted to determine if such intent translates into app use, and better symptom management and health care quality.

Facilitators and barriers to post-discharge pain assessment and triage: a qualitative study of nurses' and patients' perspectives

BACKGROUND

After hospital discharge, patients can experience symptoms prompting them to seek acute medical attention. Early evaluation of patients' post-discharge symptoms by healthcare providers may improve appropriate healthcare utilization and patient safety. Post-discharge follow-up phone calls, which are used for routine transitional care in U.S. hospitals, serve as an important channel for provider-patient communication about symptoms. This study aimed to assess the facilitators and barriers to evaluating and triaging pain symptoms in cardiovascular patients through follow-up phone calls after their discharge from a large healthcare system in Central Massachusetts. We also discuss strategies that may help address the identified barriers.

METHODS

Guided by the Practical, Robust, Implementation and Sustainability Model (PRISM), we completed semi-structured interviews with 7 nurses and 16 patients in 2020. Selected nurses conducted (or supervised) post-discharge follow-up calls on behalf of 5 clinical teams (2 primary care; 3 cardiology). We used thematic analysis to identify themes from interviews and mapped them to the domains of the PRISM model.

RESULTS

Participants described common facilitators and barriers related to the four domains of PRISM: Intervention (I), Recipients (R), Implementation and Sustainability Infrastructure (ISI), and External Environment (EE). Facilitators include: (1) patients being willing to receive provider follow-up (R); (2) nurses experienced in symptom assessment (R); (3) good care coordination within individual clinical teams (R); (4) electronic health record system and call templates to support follow-up calls (ISI); and (5) national and institutional policies to support post-discharge follow-up (EE). Barriers include: (1) limitations of conducting symptom assessment by provider-initiated follow-up calls (I); (2) difficulty connecting patients and providers in a timely manner (R); (3) suboptimal coordination for transitional care among primary care and cardiology providers (R); and (4) lack of emphasis on post-discharge follow-up call reimbursement among cardiology clinics (EE). Specific barriers for pain assessment include: (1) concerns with pain medication misuse (R); and (2) no standardized pain assessment and triage protocol (ISI).

CONCLUSIONS

Strategies to empower patients, facilitate timely patient-provider communication, and support care coordination regarding pain evaluation and treatment may reduce the barriers and improve processes and outcomes of pain assessment and triage.

Development and Validation of a Risk Prediction Model for 1-Year Readmission Among Young Adults Hospitalized for Acute Myocardial Infarction

Background

Readmission over the first year following hospitalization for acute myocardial infarction (AMI) is common among younger adults (≤55 years). Our aim was to develop/validate a risk prediction model that considered a broad range of factors for readmission within 1 year.

Methods and Results

We used data from the VIRGO (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients) study, which enrolled young adults aged 18 to 55 years hospitalized with AMI across 103 US hospitals (N=2979). The primary outcome was ≥1 all‐cause readmissions within 1 year of hospital discharge. Bayesian model averaging was used to select the risk model. The mean age of participants was 47.1 years, 67.4% were women, and 23.2% were Black. Within 1 year of discharge for AMI, 905 (30.4%) of participants were readmitted and were more likely to be female, Black, and nonmarried. The final risk model consisted of 10 predictors: depressive symptoms (odds ratio [OR], 1.03; 95% CI, 1.01–1.05), better physical health (OR, 0.98; 95% CI, 0.97–0.99), in‐hospital complication of heart failure (OR, 1.44; 95% CI, 0.99–2.08), chronic obstructive pulmomary disease (OR, 1.29; 95% CI, 0.96–1.74), diabetes mellitus (OR, 1.23; 95% CI, 1.00–1.52), female sex (OR, 1.31; 95% CI, 1.05–1.65), low income (OR, 1.13; 95% CI, 0.89–1.42), prior AMI (OR, 1.47; 95% CI, 1.15–1.87), in‐hospital length of stay (OR, 1.13; 95% CI, 1.04–1.23), and being employed (OR, 0.88; 95% CI, 0.69–1.12). The model had excellent calibration and modest discrimination (C statistic=0.67 in development/validation cohorts).

Conclusions

Women and those with a prior AMI, increased depressive symptoms, longer inpatient length of stay and diabetes may be more likely to be readmitted. Notably, several predictors of readmission were psychosocial characteristics rather than markers of AMI severity. This finding may inform the development of interventions to reduce readmissions in young patients with AMI.

Non-specific pain and 30-day readmission in acute coronary syndromes: findings from the TRACE-CORE prospective cohort

Background

Patients with acute coronary syndromes often experience non-specific (generic) pain after hospital discharge. However, evidence about the association between post-discharge non-specific pain and rehospitalization remains limited.

Methods

We analyzed data from the Transitions, Risks, and Actions in Coronary Events Center for Outcomes Research and Education (TRACE-CORE) prospective cohort. TRACE-CORE followed patients with acute coronary syndromes for 24 months post-discharge from the index hospitalization, collected patient-reported generic pain (using SF-36) and chest pain (using the Seattle Angina Questionnaire) and rehospitalization events. We assessed the association between generic pain and 30-day rehospitalization using multivariable logistic regression (N = 787). We also examined the associations among patient-reported pain, pain documentation identified by natural language processing (NLP) from electronic health record (EHR) notes, and the outcome.

Results

Patients were 62 years old (SD = 11.4), with 5.1% Black or Hispanic individuals and 29.9% women. Within 30 days post-discharge, 87 (11.1%) patients were re-hospitalized. Patient-reported mild-to-moderate pain, without EHR documentation, was associated with 30-day rehospitalization (odds ratio [OR]: 2.03, 95% confidence interval [CI]: 1.14–3.62, reference: no pain) after adjusting for baseline characteristics; while patient-reported mild-to-moderate pain with EHR documentation (presumably addressed) was not (OR: 1.23, 95% CI: 0.52–2.90). Severe pain was also associated with 30-day rehospitalization (OR: 3.16, 95% CI: 1.32–7.54), even after further adjusting for chest pain (OR: 2.59, 95% CI: 1.06–6.35).

Conclusions

Patient-reported post-discharge generic pain was positively associated with 30-day rehospitalization. Future studies should further disentangle the impact of cardiac and non-cardiac pain on rehospitalization and develop strategies to support the timely management of post-discharge pain by healthcare providers.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12872-021-02195-z.

Percutaneous coronary intervention in patients with cancer and readmissions within 90 days for acute myocardial infarction and bleeding in the USA

AIMS

The post-discharge outcomes of patients with cancer who undergo PCI are not well understood. This study evaluates the rates of readmissions within 90 days for acute myocardial infarction (AMI) and bleeding among patients with cancer who undergo percutaneous coronary intervention (PCI).

METHODS AND RESULTS

Patients treated with PCI in the years from 2010 to 2014 in the US Nationwide Readmission Database were evaluated for the influence of cancer on 90-day readmissions for AMI and bleeding. A total of 1 933 324 patients were included in the analysis (2.7% active cancer, 6.8% previous history of cancer). The 90-day readmission for AMI after PCI was higher in patients with active cancer (12.1% in lung, 10.8% in colon, 7.5% in breast, 7.0% in prostate, and 9.1% for all cancers) compared to 5.6% among patients with no cancer. The 90-day readmission for bleeding after PCI was higher in patients with active cancer (4.2% in colon, 1.5% in lung, 1.4% in prostate, 0.6% in breast, and 1.6% in all cancer) compared to 0.6% among patients with no cancer. The average time to AMI readmission ranged from 26.7 days for lung cancer to 30.5 days in colon cancer, while the average time to bleeding readmission had a higher range from 38.2 days in colon cancer to 42.7 days in breast cancer.

CONCLUSIONS

Following PCI, patients with cancer have increased risk for readmissions for AMI or bleeding, with the magnitude of risk depending on both cancer type and the presence of metastasis.

Percutaneous coronary intervention and 30-day unplanned readmission with chest pain in the United States (Nationwide Readmissions Database)

Percutaneous coronary intervention (PCI) improves anginal chest pain in most, but not all, treated patients. PCI is associated with unplanned readmission for angina and non-specific chest pain within 30-days of index PCI. Patients with an index hospitalization for PCI between January-November in each of the years 2010-2014 were included from the United States Nationwide Readmissions Database. Of 2 723 455 included patients, the 30-day unplanned readmission rate was 7.2% (n = 196 581, 42.3% female). This included 9.8% (n = 19 183) with angina and 11.1% (n = 21 714) with non-specific chest pain. The unplanned readmission group were younger (62.2 vs 65.1 years; P < 0.001), more likely to be females (41.0% vs 34.2%; P < 0.001), from the lowest quartile of household income (32.9% vs 31.2%; P < 0.001), have higher prevalence of cardiovascular risk factors or have index PCI performed for non-acute coronary syndromes (ACS) (OR:3.46, 95%CI 3.39-3.54). Factors associated with angina readmissions included female sex (OR:1.28, 95%CI 1.25-1.32), history of ischemic heart disease (IHD) (OR:3.28, 95%CI 2.95-3.66), coronary artery bypass grafts (OR:1.79, 95%CI 1.72-2.86), anaemia (OR:1.16, 95%CI 1.11-1.21), hypertension (OR:1.13, 95%CI 1.09, 1.17), and dyslipidemia (OR:1.10, 95%CI 1.06-1.14). Non-specific chest pain compared with angina readmissions were younger (mean difference 1.25 years, 95% CI 0.99, 1.50), more likely to be females (RR:1.13, 95%CI 1.10, 1.15) and have undergone PCI for non-ACS (RR:2.17, 95%CI 2.13, 2.21). Indications for PCI other than ACS have a greater likelihood of readmission with angina or non-specific chest pain at 30-days. Readmissions are more common in patients with modifiable risk factors, previous history of IHD and anaemia.

Multiple unplanned readmissions after discharge for an admission with percutaneous coronary intervention

OBJECTIVE

This study aims to describe temporal trends, characteristics, and clinical outcomes of patients with more than one unplanned readmission within 30 and 180 days after admission with percutaneous coronary intervention (PCI).

BACKGROUND

There is limited understanding of multiple readmissions after PCI.

METHODS

Patients undergoing PCI between 2010 and 2014 in the U.S. Nationwide Readmission Database were evaluated for unplanned readmissions at 30 and 180 days after discharge. Trends in multiple readmissions, characteristics of patients, and causes of first readmissions are described.

RESULTS

A total of 2,324,194 patients were included in the analysis of 30-day unplanned readmissions and 1,327,799 patients in the analysis of 180-day unplanned readmission. The proportions of patients with a single readmission and multiple readmissions within 30 days were 8.5 and 1.0% and at 180 days were 15.4 and 9.1%, respectively. Common reasons for first readmission among patients with multiple readmissions were coronary artery disease, including angina, heart failure, and acute myocardial infarction. Factors associated with multiple readmissions were discharge against medical advice, discharge to care home, renal failure, and liver failure. The total cost of multiple readmissions is significant, with an increase from ~$20,000 for no readmission to over $60,000 at 30-day follow up and $86,000 at 180-day follow up.

CONCLUSIONS

Multiple readmissions are rare within 30 days after PCI but increase to nearly 1 in 10 patients at 180 days, and 20-25% of patients who have multiple readmissions are readmitted for the same cause as for the first and second readmissions.

Effectiveness of Trimetazidine in Patients with Stable Angina Pectoris of Various Durations: Results from ODA

INTRODUCTION

Trimetazidine (TMZ) is an antianginal agent that acts directly at the myocardial cell level and which is now available in a once-daily (od) formulation.

METHODS

ODA, a 3-month, observational, multicenter study in Russia, assessed the effectiveness and tolerability of TMZ 80 mg od in patients with stable angina and persisting symptoms, in real-life settings. The present analysis explored the effects of adding TMZ to background antianginal treatment with respect to the duration of stable angina.

RESULTS

A total of 3032 patients were divided into four groups according to stable angina pectoris duration since diagnosis, ranging from less than 1 year to more than 10 years. A decrease in frequency of angina attacks was observed, including in patients with angina duration < 1 year, in whom the frequency of weekly angina attacks decreased from 3.8 ± 2.9 to 1.4 ± 1.7 at 1 month and 0.6 ± 1.0 at 3 months. Short-acting nitrate consumption and proportion of angina-free patients decreased, and self-reported physical activity and adherence to antianginal therapy improved in all patient groups, including recently diagnosed patients and starting already at month 1.

CONCLUSIONS

Addition of TMZ 80 mg od to antianginal treatment was effective in reducing the frequency of angina attacks and the use of short-acting nitrates, improving Canadian Cardiovascular Society (CCS) class, self-reported physical activity, and adherence to antianginal therapy. These beneficial effects were observed in patient groups with different durations of stable angina, suggesting an opportunity for decreasing angina burden even in recently diagnosed patients.

TRIAL REGISTRATION

ISRCTN registry Identifier, ISRCTN97780949.

Thirty-Day Readmissions After Chronic Total Occlusion Percutaneous Coronary Intervention in the United States: Insights From the Nationwide Readmissions Database

BACKGROUND

Several studies have investigated early readmissions after percutaneous coronary interventions (PCIs). However, studies investigating 30-day readmission following PCI for chronic total occlusion (CTO) are lacking.

METHODS

The National-Readmission-Database (NRD) was queried to identify patients undergoing elective CTO PCI between January 1, 2016 and December 31, 2016. We assessed the incidence, predictors, and cost of 30-day readmissions.

RESULTS

A total of 30,579 CTO PCIs were identified in the NRD. After excluding patients who had acute myocardial infarction (n = 14,852), the final cohort included 15,907 patients. In this group of patients, 254 patients (1.5%) expired during their index admission and, 1600 patients (10%) had an unplanned readmission within 30 days. Cardiac causes constituted 54.2% of all causes of readmission. During the readmission, 15.8% of patients had coronary angiography, 8.4% underwent PCI, and 0.9% underwent bypass grafting. Independent predictors of 30-day readmission included baseline characteristics [age (OR 0.99, 95%CI 0.98-0.99), female (OR 1.14, 95%CI 1.01-1.28), lung disease (OR 1.36, 95%CI 1.20-1.55), heart failure (OR 1.42, 95%CI 1.24-1.62), anemia (OR 1.30, 95%CI 1.12-1.50), vascular disease (OR 1.18, 95%CI 1.03-1.35), history of stroke (OR 1.50, 95%CI 1.28-1.76) and the presence of a defibrillator (OR 1.68, 95%CI 1.39-2.03)], and procedural complications [acute kidney injury (OR 1.55, 95%CI 1.33-1.80) and gastrointestinal bleeding (OR 1.67, 95%CI 1.03-2.71)].

CONCLUSIONS

One-tenth of patients undergoing CTO PCI are readmitted within 30-days, mostly for cardiac causes. The majority undergo angiography but <10% receive revascularization. Certain patient and procedural characteristics independently predicted 30-day readmission.

Sepsis Survivors Transitioned to Home Health Care: Characteristics and Early Readmission Risk Factors

OBJECTIVE

To profile the characteristics of growing numbers of sepsis survivors receiving home healthcare (HHC) by type of sepsis before, during, and after a sepsis hospitalization and identify characteristics significantly associated with 7-day readmission.

DESIGN

Cross-sectional descriptive study. Data sources included the Outcome and Assessment Information Set (OASIS) and Medicare administrative and claims data.

SETTING AND PARTICIPANTS

National sample of Medicare beneficiaries hospitalized for sepsis who were discharged to HHC between July 1, 2013 and June 30, 2014 (N = 165,228).

METHODS

We used an indicator distinguishing among 3 types of sepsis: explicitly coded sepsis diagnosis without organ dysfunction; severe sepsis with organ dysfunction; and septic shock. We compared these subgroups' demographic, clinical and functional characteristics, comorbidities, risk factors for rehospitalization, characteristics of the index hospital stay, and predicted 7-day hospital readmission.

RESULTS

The majority (80.7%) had severe sepsis, 5.7% had septic shock, and 13.6% had sepsis without acute organ system dysfunction. The medical diagnoses recorded at HHC admission identified sepsis or blood infection only 7% of the time, potentially creating difficulty identifying the sepsis survivor in HHC. Among sepsis types, septic shock survivors had the greatest illness burden profile. This study describes 12 key variables, each of which individually raises the relative 7-day readmission risk by as much as 60%. Increased risk of 7-day rehospitalization was found among those with septic shock, 3 or more previous inpatient stays, index hospital length of stay of >8 days, dyspnea, >6 functional dependencies, and other risk factors.

CONCLUSIONS AND IMPLICATIONS

Implications for practice include using our findings to identify sepsis survivors who are at risk for early readmission. Assessment for these factors may profile the at-risk patient, thereby triggering the call for additional acute care intervention such as delayed discharge, or post-acute intervention such as early home visit and outpatient follow-up.