Evaluation of a Clinical Pharmacist Specialist Transition of Care Pathway to Manage Heart Failure Readmissions During a Provider Shortage

2021 ◽  
pp. 089719002110174
Author(s):  
Cassandra Benge ◽  
Jonathon Pouliot ◽  
James A. S. Muldowney

Background: Evidence supports scheduling early follow-up after heart failure (HF) hospitalization with a provider capable of managing hypervolemia. Often this service is provided by cardiologists or specialty nurse practitioners. Continuity or “familiar” providers may be better positioned to identify decompensating HF in patients who have advanced HF and/or multiple complicating medical problems. The objective of this study was to evaluate whether a clinical pharmacy specialist (CPS) service, covering the role of a “familiar” provider in an advanced HF specialty clinic (AHFC) during a staffing shortage, may prevent readmission metrics from worsening. Methods: We evaluated the entire, eligible concurrent cohorts, representing 175 AHFC-CPS and 273 control patient-admissions, respectively. Study- and disease-specific predictors for readmission were assessed. A matched cohort of 202 patient-admissions (101 AHFC-CPS:101 NO-CPS) were evaluated. Results: Subjects were predominantly white, elderly males. While overall “clinic [performance] profiling” outcomes for readmissions (p = 0.43) and mortality (p = 0.66) did not statistically differ between the AHFC-CPS and NO-CPS groups, an imbalance in severity of illness persisted. A survival curve and analysis were constructed, and the hazard ratio for all-cause mortality was 0.69 (p = 0.033). Conclusions: This retrospective project supports the premise that AHFC-CPS intervention may be a suitable alternative to maintain the volume status for AHFC patients during a staffing short-fall. More work needs to be done to determine intervention effect size, predictors for readmission, specifically in advanced cardiovascular disease, and to evaluate CPS opportunities in the provision of independent HF care, particularly for patients with advanced HF.

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Max Ruge ◽  
Joanne Michelle D Gomez ◽  
Gatha G Nair ◽  
Setri Fugar ◽  
Jeanne du Fay de Lavallaz ◽  
...  

Introduction: The coronavirus disease 2019 (COVID-19) pandemic has killed hundreds of thousands worldwide. Those with cardiovascular disease represent a vulnerable population with higher risk for contracting COVID-19 and worse prognosis with higher case fatality rates. Congestive heart failure (CHF) may lead to worsening COVID-19 symptoms. However, it is unclear if CHF is an independent risk factor for severe COVID-19 infection or if other accompanying comorbidities are responsible for the increased risk. Methods: From March to June 2020, data was obtained from adult patients diagnosed with COVID-19 infection who were admitted in the Rush University System for Health (RUSH) in Illinois. Heart failure patients, determined by ICD code assignments extracted from the electronic medical records, were identified. Multivariable logistic regression was performed between predictor variables and a composite outcome of severe infection consisting of Intensive Care Unit (ICU) admission, intubation, or in-hospital mortality. Results: In this cohort (n=1136), CHF [odds ratio (OR) 1.02] alone did not predict a more severe illness. Prior myocardial infarction [(MI), OR 3.55], history of atrial fibrillation [(AF), OR 2.14], and male sex (OR 1.55) were all significantly (p<0.001) associated with more severe COVID-19 illness course when controlling for CHF (Figure 1). In the 178 CHF patients, more advanced age (68.8 years vs. 63.8 years; p<0.05) and female sex (54.5% vs. 39.1%; p<0.05) were associated with increased severity of illness. Conclusions: Prior MI, history of AF, and male sex predicted more severe COVID-19 illness course in our cohort, but pre-existing heart failure alone did not. However, CHF patients who are females and older in age are at risk for severe infection. These findings help clinicians identify patients with comorbidities early at risk for severe COVID-19 illness.


Author(s):  
J. van Ramshorst ◽  
M. Duffels ◽  
S. P. M de Boer ◽  
A. Bos-Schaap ◽  
O. Drexhage ◽  
...  

Abstract Background Healthcare expenditure in the Netherlands is increasing at such a rate that currently 1 in 7 employees are working in healthcare/curative care. Future increases in healthcare spending will be restricted, given that 10% of the country’s gross domestic product is spent on healthcare and the fact that there is a workforce shortage. Dutch healthcare consists of a curative sector (mostly hospitals) and nursing care at home. The two entities have separate national budgets (€25 bn + €20 bn respectively) Aim In a proof of concept, we explored a new hospital-at-home model combining hospital cure and nursing home care budgets. This study tests the feasibility of (1) providing hospital care at home, (2) combining financial budgets, (3) increasing workforces by combining teams and (4) improving perspectives and increasing patient and staff satisfaction. Results We tested the feasibility of combining the budgets of a teaching hospital and home care group for cardiology. The budgets were sufficient to hire three nurse practitioners who were trained to work together with 12 home care cardiovascular nurses to provide care in a hospital-at-home setting, including intravenous treatment. Subsequently, the hospital-at-home programme for endocarditis and heart failure treatment was developed and a virtual ward was built within the e‑patient record. Conclusion The current model demonstrates a proof of concept for a hospital-at-home programme providing hospital-level curative care at home by merging hospital and home care nursing staff and budgets. From the clinical perspective, ambulatory intravenous antibiotic and diuretic treatment at home was effective in safely achieving a reduced length of stay of 847 days in endocarditis patients and 201 days in heart-failure-at-home patients. We call for further studies to facilitate combined home care and hospital cure budgets in cardiology to confirm this concept.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e19508-e19508
Author(s):  
Mohammad Ammad Ud Din ◽  
Samarthkumar Thakkar ◽  
Harsh P. Patel ◽  
Syed Ather Hussain ◽  
Aneeqa Zafar ◽  
...  

e19508 Background: With the increased use of novel agents like Bruton tyrosine kinase inhibitors (BTKi) for the treatment of chronic lymphocytic leukemia (CLL), the incidence of atrial fibrillation (AF) is on the rise in these patients. However, the excess burden added by AF to the morbidity and mortality of CLL patients is unclear. Methods: Using the appropriate ICD-9 and ICD-10 codes, the National Inpatient Sample (NIS) database was accessed to gather data of hospitalized CLL patients with AF from 2008 to 2019. Propensity-score matching (PSM) and logistic regression model were performed to control for baseline patient factors like age, sex, income, and the relevant co-morbidities to match 7265 CLL patient admissions with AF and 7265 CLL patient admissions without AF. The primary outcome was all-cause mortality (ACM), while secondary outcomes included stroke, acute heart failure (AHF), and total cost of hospital stay. Results: The mean age of the cohorts was 82 years. Females made up 44% of both groups. The AF group had similar prevalence of systemic hypertension (62.38% vs 62.10%; p= 0.73), diabetes mellitus (5.09% vs 5.43%; p= 0.35), congestive heart failure (5.57% vs 5.36%; p= 0.58), valvular heart disease (1.17% vs 1.44%; p= 0.14), and pulmonary hypertension (0.21% vs 0.14%; p= 0.31) compared to the group without AF. PSM revealed CLL patients with AF had a higher rate of ACM (6.06% vs 4.47%; p= <0.0001), AHF (7.50% vs 3.85%; p= <0.001), and stroke (3.09% vs 1.65%; p= <0.0001). Admission in the AF group also had a higher median total cost of hospital stay ($9097 vs $7646). A logistic regression model was done to adjust for confounders which revealed similar results for the AF group with increased adjusted odd’s ratio (aOR) of ACM (aOR:1.39, 95% confidence interval (CI): 1.19-1.61; p= <0.001), AHF (aOR: 2.16, 95% CI: 1.85-2.52; p= <0.001), and stroke (aOR:1.94, 95% CI: 1.54-2.44; P= <0.001) (Table). Conclusions: Our data suggest that hospitalized CLL patients with AF are at a significantly increased risk of all-cause mortality, AHF, and stroke. Several limitations like the inability to establish the temporal relationship between CLL and AF and the lack of data regarding medications of individual patients are important to keep in mind while interpreting the results.[Table: see text]


2020 ◽  
Vol 10 (4) ◽  
pp. 232-242 ◽  
Author(s):  
Se Yong Jang ◽  
Dong Heon Yang ◽  
Hyeon Jeong Kim ◽  
Bo Eun Park ◽  
Yoon Jung Park ◽  
...  

Background: Renal function is closely related to cardiac function and an important prognostic marker in heart failure. Objective: We aimed to test the prognostic value of cystatin C (cysC)-derived estimated glomerular filtration rates (eGFR) in comparison with eGFRs from creatinine solely based equations in patients with acute heart failure (AHF). Methods: This study included 262 patients (65.8 ± 14.9 years old, 126 male) with AHF. Prognostic value of the eGFRs, from cysC-based equations chronic kidney disease epidemiology collaboration (CKD-EPI-cysC and CKD-EPI-creatinine [cr]-cysC equations) were compared with eGFRs calculated from serum creatinine levels only (Modification of Diet in Renal Disease [MDRD]-4 and CKD-EPI-cr equations). Prognosis was evaluated with the composite of all-cause mortality and hospitalization for heart failure within 1 year. Results: During the follow-up period (mean follow-up period, 264.0 ± 136.1 days), 67 (25.6%) events occurred. Estimated GFR using CKD-EPI-cysC was the best for predicting 1-year outcome using receiver operating characteristic curve analysis (area under curve 0.585, 0.607, 0.669, and 0.652 for eGFRs from MDRD-4, CKD-EPI-cr, CKD-EPI-cysC, and CKD-EPI-cr-cysC respectively). The Kaplan-Meier survival curve analysis showed that only the eGFRs classification from the equations based on cysC significantly predicted 1-year outcome in patients with AHF. Conclusions: Estimated GFRs calculated with cysC predicted the prognosis more accurately in patients with AHF than the eGFRs from creatinine only equations.


2018 ◽  
Vol 36 ◽  
pp. 68-74 ◽  
Author(s):  
Maryline Bovero ◽  
Cristiano Giacomo ◽  
Marc Ansari ◽  
Marie-José Roulin

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