Causes and Predictors of 30-Day Readmission in Patients With Syncope/Collapse: A Nationwide Cohort Study

Co-designing and piloting educational materials with patients and healthcare providers for syncope in the emergency department

Objective

The purpose of this study was to identify barriers and design interventions to promote adherence to 2017 Guideline for Syncope Evaluation and Management.

Methods

Focus groups and interviews were conducted to understand preferences, needs and barriers from patients and providers. Educational materials for patients were developed following a co-design, iterative process with patients, providers and hospital staff. The academic medical center's (AMC) Patient Education Department and Patient & Family Advisory Council reviewed materials to ensure health literacy. We piloted usability and feasibility of delivering the materials to a small cohort of patients.

Results

From Feb to March 2020, 24 patients were asked to watch the video. Twenty-two watched the intake video; of those 8 watched the discharge video. 95% of participants found the intake video informational and 86% would recommend it to others; 100% found the discharge video informational and would recommend it to others. Patients who watched both videos reported the videos improved their overall stay.

Conclusion

Our study described a patient-clinician-researcher codesign process and demonstrated feasibility of tools developed to communicate risk and uncertainty with patients and facilitate shared decision making in syncope evaluation.

Innovation

Engaging end users in developing interventions is critical for sustained practice change.

Diagnostic utility and outcomes of inpatient investigations for syncope in a regional setting

BACKGROUND

Syncope is a common presentation to the emergency department with a wide spectrum of aetiology. The identification of the underlying cause can be diagnostically challenging, as are the choice of investigations and the decision for inpatient versus outpatient disposition.

AIMS

This study aimed to evaluate the aetiology of syncope as documented, the diagnostic yield of inpatient investigations and outcomes for adult patients admitted for syncope.

METHODS

A single-centred, retrospective cohort study was conducted in adult patients admitted for syncope within a 2-year period. A total of 386 patients were identified after exclusion. Information regarding syncope aetiology, investigations and outcomes were established via chart review of electronic records.

RESULTS

The most common cause of syncope was neural-mediated (43%), followed by orthostatic (36.5%) and cardiogenic (20.5%). The investigations performed in order of frequency included: telemetry electrocardiogram (ECG) (75.4%), computed tomography head non-contrast (58.8%), transthoracic echocardiogram (TTE) (20.2%), computed tomography pulmonary angiogram (CTPA) (6.5%), MR brain (3.9%), electroencephalogram (1.3%) and carotid ultrasound (0.3%). Telemetry ECG, TTE and CTPA led to the diagnosis of syncope in a minority of patients only. As a result, 17.5% of patients had a new intervention on discharge, 5.4% were readmitted for syncope and 9.6% of patients died.

CONCLUSIONS

In the context of the inpatient evaluation of syncope, this study supports the use of telemetry ECG and TTE. Neuroimaging demonstrates a low diagnostic yield for the cause of syncope, but it may have a role to play in excluding other pathologies. Our study does not support the routine use of CTPA, EEG or carotid ultrasound in the evaluation of syncope.

Novel Machine Learning Approach to Predict and Personalize Length of Stay for Patients Admitted with Syncope from the Emergency Department

Background: Syncope, a common problem encountered in the emergency department (ED), has a multitude of causes ranging from benign to life-threatening. Hospitalization may be required, but the management can vary substantially depending on specific clinical characteristics. Models predicting admission and hospitalization length of stay (LoS) are lacking. The purpose of this study was to design an effective, exploratory model using machine learning (ML) technology to predict LoS for patients presenting with syncope. Methods: This was a retrospective analysis using over 4 million patients from the National Emergency Department Sample (NEDS) database presenting to the ED with syncope between 2016−2019. A multilayer perceptron neural network with one hidden layer was trained and validated on this data set. Results: Receiver Operator Characteristics (ROC) were determined for each of the five ANN models with varying cutoffs for LoS. A fair area under the curve (AUC of 0.78) to good (AUC of 0.88) prediction performance was achieved based on sequential analysis at different cutoff points, starting from the same day discharge and ending at the longest analyzed cutoff LoS ≤7 days versus >7 days, accordingly. The ML algorithm showed significant sensitivity and specificity in predicting short (≤48 h) versus long (>48 h) LoS, with an AUC of 0.81. Conclusions: Using variables available to triaging ED clinicians, ML shows promise in predicting hospital LoS with fair to good performance for patients presenting with syncope.

Diagnostic approaches to syncope in Internal Medicine Departments and their effect on mortality

Most data on mortality and investigational approaches to syncope comes from patients presented to emergency departments (ED). The aim of this study is to report intermediate term mortality in syncope patients admitted to Internal Medicine Departments and whether different diagnostic approaches to syncope affect mortality. Methods and results A single-center retrospective-observational study conducted at the Tel Aviv "Sourasky" Medical Center. Data was collected from electronic medical records (EMRs), from January 2010 to December 2020. We identified 24,021 patients, using ICD-9-CM codes. Only 7967 syncope patients were admitted to Internal Medicine Departments and evaluated. Logistic regression models were used to determine the effects of diagnostic testing per patient in each department on 30-day mortality and readmission rates. All-cause 30-day mortality rate was 4.1%. There was a significant difference in the number of diagnostic tests performed per patient between the different departments, without affecting 30-day mortality. The 30-day readmission rate was 11.4%, of which 4.4% were a result of syncope. Conclusion Syncope patients admitted to Internal Medicine Departments show a 30-day all-cause mortality rate of ∼4%. Despite the heterogeneity in the approach to the diagnosis of syncope, mortality is not affected. This novel information about syncope patients in large Internal Medicine Departments is further proof that the diagnosis of syncope requires a logic, personalized approach that focuses on medical history and a few tailored, diagnostic tests.

Evaluation of Patients with Syncope in the Emergency Department: How to Adjust Pharmacological Therapy

The rate of syncope in the Emergency Department ranges between 0.9 and 1.7%. Syncope is mostly related to a underlying reflex or orthostatic mechanism. A bradycardic or a hypotensive phenotype, may be identified. The latter is the most common and could be constitutional or drug induced. Consequently, obtaining an accurate drug history is an important step of the initial assessment of syncope. As anti-hypertensive medication might be responsible for orthostatic hypotension, managing hypertension in patients with syncope requires finding an ideal balance between hypotensive and cardiovascular risks. The choice of anti-hypertensive molecule as well as the therapeutic regimen and dosage, influences the risk of syncope. Not only could anti-hypertensive drugs have a hypotensive effect but opioids and psychoactive medications may also be involved in the mechanism of syncope. Proper drug management could reduce syncope recurrences and their consequences.

Predictors and risk factors of short-term readmission of acute pericarditis

Background: The 30-day readmission risk factors for acute pericarditis are not well known. We investigated the risk factors and predictors of pericarditis from a national cohort.Methods: Readmission data from the National Readmission Database (NRD) from the year 2016 were used to analyze the prevalence of risk factors and predictors of pericarditis 30-day readmission.Results: From the year 2016, 16,475 acute pericarditis hospitalizations were recorded. The rate of readmission from the year 2016 is similar to 2012 reported data (18%). A total of 13,844 patients (mean age 55.2 years, 40% of women) were found for acute pericarditis readmissions. The incidence rate of 30-day readmission of acute pericarditis patients in our study was 17.8% with the major cause of readmission was related to cardiovascular (pericarditis, endocarditis, and myocarditis) during 30-day follow-up. The median cost of the index and 30 days pericarditis admission $10,048 and $9,932, respectively.Conclusion: Chronic comorbidities, prolonged hospitalization, and admission to a short-term hospital/left against medical advice admission to metropolitan teaching hospital were associated with a higher risk of 30-day readmission.

Prevalence of venous thromboembolism in admissions and readmissions with and without syncope: a nationwide cohort study

AIMS

The Pulmonary Embolism in Syncope Italian Trial reported 17.3% prevalence of pulmonary embolism (PE) in patients admitted with syncope. We investigated the prevalence of venous thromboembolism [VTE, including PE and deep vein thrombosis (DVT)] in syncope vs. non-syncope admissions and readmissions, and if syncope is an independent predictor of VTE.

METHODS AND RESULTS

We conducted an observational study of index admissions of the 2013-14 Nationwide Readmission Database. We excluded patients <18 years, December discharges, died during hospitalization, hospital transfers, and missing length of stay. Encounters were stratified by the presence or absence of DVT/PE and syncope diagnoses. Multivariable logistic regression analysis was used to evaluate the association between syncope and VTE. There were 38 655 570 admissions, of whom 285 511 had syncope. In the overall cohort, syncope occurred in 1.6% of VTE and 1.8% in non-VTE admissions. In a multivariable model, syncope was associated with a lower prevalence of VTE [odds ratio (OR) 0.76, 95% confidence interval (CI) 0.75-0.78; P < 0.001]. In index syncope vs. non-syncope admissions, the prevalence of DVT, PE, and VTE were 0.4 ± 0.06% vs. 1.3 ± 0.12%, 0.2 ± 0.04% vs. 1.2 ± 0.11%, and 0.5 ± 0.07% vs. 2.1 ± 0.14% (all P < 0.001), respectively. At 30 days, the prevalence of DVT, PE, and VTE in syncope vs. non-syncope were 2.2 ± 0.14% vs. 2.1 ± 0.14% (P = 0.38), 1.4 ± 0.12% vs. 1.2 ± 0.11% (P = 0.01), and 2.6 ± 0.17% vs. 3.0 ± 0.17% (P = 0.99), respectively.

CONCLUSION

Syncope admissions were associated with a lower prevalence of VTE as compared to non-syncope admissions. Syncope should not trigger an automatic PE workup, rather, should be put into context of patient presentation.

The Impact of a Nurse-Led Syncope Clinic: Experience from a single UK tertiary center

Background

Syncope is a leading cause of hospital admission and is associated with significant morbidity and mortality. Our Syncope Clinic commenced in 2014 and we sought to evaluate its impact on outcomes (1‐yr mortality and syncope re‐hospitalization) in patients discharged following syncope admission.

Methods

A single‐center study of all consecutive patients discharged with syncope (ICD‐10 R55) between April 2012 and 2017. Patient demographics, comorbidities, hospital stay, syncope re‐hospitalization, and mortality at one‐year were collected. Those subsequently referred and seen in Syncope Clinic were compared with those who were not and predictors of poor outcome were evaluated.

Results

In total 2950 patients were discharged from hospital with syncope (median age: 73years, 51% male) with 1220 (41%) discharged same‐day; after commencement of Syncope Clinic 231were subsequently reviewed here. Overall mortality was 11%, which was lower in the Syncope Clinic group (3% vs 12%, P < .001). Temporal analysis revealed reduced re‐hospitalization following commencement of Syncope Clinic (2% vs 6%, P = .027). Independent predictors of mortality were increasing age (HR 1.03, 95% CI 1.03‐1.04), AF (HR 1.6, 95% CI 1.2‐2.1), HF (HR 2.2, 95% CI 1.6‐3.0), COPD (HR 1.9, 95% CI 1.4‐2.7), and CHADS₂ score ≥ 1 (HR 1.45, 95% CI 1,12‐1.87). Syncope Clinic attendance was associated with reduced mortality (HR 0.3, 95% CI 0.1‐0.6).

Conclusions

Syncope patients discharged from hospital had reduced 1yr mortality if seen in subsequent Syncope Clinic. Independent predictors of mortality were COPD, HF, AF, and CHADS₂ ≥1. Prospective randomized trials of Syncope Clinics are warranted.

Causes and Predictors of 30-Day Readmission in Patients With Syncope/Collapse: A Nationwide Cohort Study

Background Syncope accounts for 0.6% to 1.5% of hospitalizations in the United States. We sought to determine the causes and predictors of 30-day readmission in patients with syncope. Methods and Results We identified 323 250 encounters with a primary diagnosis of syncope/collapse in the 2013-2014 Nationwide Readmissions Database. We excluded patients younger than 18 years, those discharged in December, those who died during hospitalization, hospital transfers, and those whose length of stay was missing. We used multivariable logistic regression analysis to evaluate the association between baseline characteristics and 30-day readmission. A total of 282 311 syncope admissions were included. The median age was 72 years (interquartile range, 58-83), 53.9% were women, and 9.3% had 30-day readmission. The most common cause of 30-day readmissions was syncope/collapse, followed by cardiac, neurological, and infectious causes. Characteristics associated with 30-day readmissions were age 65 years and older (odds ratio [OR], 0.7; 95% confidence interval [ CI ], 0.6-0.7), female sex (OR, 0.9; 95% CI, 0.8-0.9), congestive heart failure (OR, 1.5; 95% CI, 1.2-1.9), atrial fibrillation/flutter (OR, 1.3; 95% CI, 1.3-1.4), diabetes mellitus (OR, 1.2; 95% CI, 1.2-1.3), coronary artery disease (OR, 1.2; 95% CI, 1.2-1.3), anemia (OR, 1.4; 95% CI, 1.4-1.5), chronic obstructive pulmonary disease (OR, 1.4; 95% CI, 1.3-1.4), home with home healthcare disposition (OR, 1.5; 95% CI, 1.5-1.6), leaving against medical advice (OR, 1.7; 95% CI, 1.6-1.9), length of stay of 3 to 5 days (OR, 1.5; 95% CI, 1.4-1.6) or >5 days (OR, 2; 95% CI, 1.8-2), and having private insurance (OR, 0.6; 95% CI, 0.6-0.7). Conclusions The 30-day readmission rate after syncope/collapse was 9.3%. We identified causes and risk factors associated with readmission. Future prospective studies are needed to derive risk-stratification models to reduce the high burden of readmissions.