Abstract 186: Improving Identification and Assessment of Readmission Risk for Acute Myocardial Infarction and Heart Failure Patients Following Implementation of a National Quality Improvement Program

Author(s):  
Ty J Gluckman ◽  
Nancy M Albert ◽  
Robert L McNamara ◽  
Gregg C Fonarow ◽  
Adnan Malik ◽  
...  

Background: Optimal transition care represents an important step in mitigating the risk of early hospital readmission. For many hospitals, however, resources are not available to support transition care processes, and hospitals may not be able to identify patients in greatest need. It remains unknown whether a coordinated quality improvement campaign could help to increase a) identification of at-risk patients and b) use of a readmission risk score to identify patients needing extra services/resources. Methods: The American College of Cardiology Patient Navigator Program was designed as a 2-year (2015-2017) quality improvement campaign to assess the impact of transition-care interventions on transition care performance metrics for patients with acute myocardial infarction (AMI) and heart failure (HF) at 35 acute care hospitals. All sites were active participants in the NCDR ACTION Registry. Facilities were free to choose their transition care priorities, with at least 3 goals established at baseline. Pre-discharge identification of AMI and HF patients and assessment of their respective readmission risk were 4 of the 36 metrics tracked quarterly. Performance reports were provided regularly to the individual institutions. Sharing of best practices was actively encouraged through webinars, a listserv, and an online dashboard with display of blinded performance for all 35 hospitals. Results: At baseline, 31% (11/35) and 23% (8/35) of facilities did not have a process for prospectively identifying AMI and HF patients, respectively. At 2 years, the rate of not having processes decreased to 8% (3/35) and 3% (1/35), respectively. Among hospitals able to identify AMI and HF patients, there was high patient-level identification performance from the outset (91% for AMI and 86% for HF at baseline), with added improvement over 2 years (+2.2% for AMI and +9.3% for HF). At baseline, processes to assess readmission risk for AMI and HF patients were only completed by 26% (9/35) and 31% (11/35) of facilities, respectively. At 2 years, AMI and HF readmission risk assessment rose to 80% (28/35) and 86% (30/35), respectively. Similar improvements were noted at the patient-level, with 34% (52% --> 86%) and 16% (75% --> 91%) absolute 2-year increases in the percentage of AMI and HF patients undergoing assessment of readmission risk, respectively. Conclusions: Implementation of a quality improvement campaign focused on care transition can substantially improve prospective identification of AMI and HF patients and assessment of their readmission risk. It remains to be determined whether process improvement lead to reduction in 30-day readmission and/or improvement in other clinically important outcome measures.

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
L Wu ◽  
B Liu ◽  
Y Zheng

Abstract Background/Introduction Essential thrombocytosis (ET) is a rare disease characterized by vasomotor symptom, thrombotic event, and hemorrhage. Due to its rare occurrence, limited data are available to examine the impact of ET on acute myocardial infarction (AMI). Purpose To evaluate the impact of ET on hospital outcomes of AMI. Methods We use the 2016 National Inpatient sample database to identify all the admissions with a principal diagnosis of AMI with or without ET. A matched control group was then generated using propensity score from age, sex, race, location, insurance, income, hospital type, hospital location, Charlsoncat Comorbidity Score. Prevalence, baseline characteristic of AMI patient with or without ET was described and compared. Univariable logistic regression was used to measure mortality and the rate of catheterization. Results ET was found in 0.28% (1,814) in total AMI admissions (641,854). Age (69.52 vs 69.70), female percentage (48.04% vs 48.03%) and baseline comorbidities including STEMI (27.49% vs 25.08%), diabetes (33.03% vs 30.51%), heart failure (40.18 vs 45.89%) and chronic kidney disease (22.05% vs 26.28%) was found to be comparable between two groups (p>0.05, table 1). Compared to non ET group, ET is associated with significantly higher hospital mortality (5.74% vs 2.43%, OR 2.44 [1.09–5.48], p=0.03), prolonged length of stay (7.61 vs 4.30 days, p<0.01). Interestingly, ET is also associated with lower utilization of cardiac catheterization (37.46% vs 46.52%, p=0.01). Essential Thrombocytosis and AMI Parameter AMI with ET Matched control: AMI without ET Odds ratio (95% CI) P value (n=1,814) (n=1,814) Age, years 69.52±0.72 69.70±0.70 p>0.05 Female, % 48.04 48.03 p>0.05 STEMI, % 27.49 25.08 p>0.05 Hypertension, % 81.57 83.08 p>0.05 Diabetes, % 33.03 30.51 p>0.05 Heart failure, % 40.18 45.89 p>0.05 Chronic kidney disease, % 22.05 26.28 p>0.05 Mortality, % 5.74 2.43 2.44 (1.09–5.48) p=0.03 Catheterization, % 37.46 46.52 0.68 (0.51–0.91) P=0.01 Length of stay, days 7.61±0.48 4.30±0.21 P<0.01 Values are reported as mean ± S.E. Categorical variables are represented as frequency. Conclusion ET is infrequently observed in patients with AMI. Having ET is associated with higher hospital mortality, longer hospital stay and lower utilization of cardiac catheterization. Acknowledgement/Funding None


Author(s):  
Kumar Dharmarajan ◽  
Fu-Chi Hsieh ◽  
Zhenqiu Lin ◽  
Joseph S Ross ◽  
Nancy Kim ◽  
...  

Background: Readmissions are frequent and costly outcomes in patients hospitalized for heart failure (HF) and acute myocardial infarction (AMI). Knowledge of the exact timing of 30-day readmissions after hospitalization for HF and AMI can help identify time periods during which patients are at the highest readmission risk and guide the development of interventions designed to prevent early readmissions. Methods: Using Medicare Standard Analytic and Denominator files, we identified all HF and AMI hospitalizations in 2007-2009. We excluded hospitalizations for patients aged<65, transferred out, discharged against medical advice, or with an inpatient death. For both HF and AMI cohorts, we identified all readmissions to short-stay acute care hospitals due to any cause occurring within 30 days of hospital discharge except for planned coronary revascularization. Our primary outcome was the number of observed readmissions occurring during each day (0-30) after discharge. We also calculated the cumulative number of observed readmissions occurring during the 1 st 3 days, 1 st week, and 1 st 15 days after discharge. We used a one-tailed two-proportion z test to evaluate if the proportion of readmissions during the 1 st 3 days, 1 st week, and 1 st 15 days was higher than what would be expected had readmissions occurred at an equal rate during the 30 days (alpha=0.05). Results: We identified 329,308 readmissions within 30 days after 1,330,157 hospitalizations for HF (4,633 hospitals) and 108,992 readmissions within 30 days after 548,834 hospitalizations for AMI (3,895 hospitals). Readmission frequency by day is described for both HF and AMI in the accompanying figure. Following hospitalization for HF, 13.4% of 30-day readmissions occur during the 1 st 3 days after discharge, 31.7% occur during the 1 st week, and 61.0% occur during the 1 st 15 days. Following hospitalization for AMI, 19.1% of 30-day readmissions occur during the 1 st 3 days after discharge, 40.1% occur during the 1 st week, and 67.6% occur during the 1 st 15 days. For both HF and AMI cohorts, readmissions after 3, 7, and 15 days were higher than what would be predicted had readmission rates remained constant (p<0.0001 for all). Conclusion: For patients hospitalized with HF and AMI, a disproportionately high percentage of 30-day readmissions occur soon after discharge. Interventions designed to reduce hospital readmissions may therefore generate substantive benefits when applied to the time period shortly after hospitalization.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
M Ruiz Ortiz ◽  
J.J Sanchez Fernandez ◽  
C Ogayar Luque ◽  
E Romo Penas ◽  
M Delgado Ortega ◽  
...  

Abstract Purpose Women and men with stable coronary artery disease (sCAD) have different clinical features and management, but 1-year prognosis has been reported to be similar in large observational registries. The objective of the present study was to investigate the impact of female sex in the prognosis of the disease in the very long-term. Methods The CICCOR registry (“Chronic ischaemic heart disease in Cordoba”) is a prospective, monocentric, cohort study. From February 1, 2000 to January 31, 2004, all consecutive patients with sCAD attended at two outpatient cardiology clinics in a city of the south of Spain were included in the study and prospectively followed. Differential clinical features of women and men were described and the impact of female sex in long term prognosis was investigated. Results The study sample included 1268 patients, 337 women (27%) and 931 men (73% male). Women were older than men (70±9 versus 65±11 years, p&lt;0.0005), more likely to have hypertension (72% versus 49%, p&lt;0.0005) and diabetes (45% versus 26%), and less likely to be ex-smoker/active smoker (5%/2% versus 49%/9%, p&lt;0.0005). They had more frequently angina in functional class ≥II (22% versus 17%, p=0.04) and atrial fibrillation (8% versus 5%, p=0.04), but had received less frequently coronary revascularization (32% versus 44%, p&lt;0.0005). Prescription of statins (64% versus 68%, p=0.22), antiplatelets (89% versus 93%, p=0.07) and betablockers (67% versus 63%, p=0.28) at first visit was similar than men, but women received more frequently nitrates (78% versus 64%, p&lt;0.0005), angiotensin-conversing enzyme inhibitors or receptor antagonists (56% versus 47%, p=0.004) and diuretics (41% versus 22%, p&lt;0.0005). After up to 17 years of follow-up (median 11 years, IQR 4–15 years, with a total of 12612 patients-years of observation), probabilities of acute myocardial infarction (12% versus 14%, p=0.55) or stroke (14% versus 12%, p=0.40) at median follow up were similar for women and men. However, the risks of hospital admission for heart failure (22% versus 13%, p&lt;0.0005) or cardiovascular death (35% versus 24%, p&lt;0.0005) were significantly higher for women, with a non-significant trend to higher overall mortality (45% versus 39%, p=0.07). After multivariate adjustment, the risks of most events were similar for women and men (Hazard Ratios [95% confidence intervals]: 0.79 [0.55–1.14], p=0.21 for acute myocardial infarction; 0.89 [0.61–1.29], p=0.54 for stroke; 1.13 [0.82–1.57], p=0.46 for admission for heart failure; and 0.92 [0.73–1.16], p=0.48 for cardiovascular death), with a non-significant trend to lower overall mortality (0.83 [0.67–1.02], p=0.08). Conclusion Although women and men with sCAD presents a different clinical profile, and crude rates of hospital admissions for heart failure and cardiovascular death were higher in women, female sex was not an independent prognostic factor in this observational study with up to 17 years of follow-up. Funding Acknowledgement Type of funding source: None


2018 ◽  
Vol 48 (3) ◽  
pp. 222-230 ◽  
Author(s):  
Lisa M. Kalisch Ellett ◽  
Nicole L. Pratt ◽  
Janet K. Sluggett ◽  
Emmae N. Ramsay ◽  
Mhairi Kerr ◽  
...  

2020 ◽  
Vol 13 (Suppl_1) ◽  
Author(s):  
Muhammad A Sheikh ◽  
David Ngendahimana ◽  
Salil V Deo ◽  
Sajjad Raza ◽  
Salah Altarabsheh ◽  
...  

Objective: Home health care (HHC) is a support tool to transition patients after discharge and acute myocardial infarction (AMI) is a significant cause of morbidity and mortality in the U.S. However, little is known regarding the impact of HHC on AMI patients. We sought to identify predictors of readmissions among AMI patients, characteristics of those who receive HHC and investigate the association of HHC with readmission. Methods: We queried the National Readmission Database (NRD) (January 2012 - December 2014), to identify patients discharged after AMI and selected patients who were discharged home with (HHC+) and without HHC (HHC-). We reported national estimates with survey methods with weights provided in our data. After univariate exploratory analyses, we developed a regression model to identify the probability of each patient to receive HHC. From the propensity score, we calculated average treatment on the treated (ATT) weights. These ATT weights were included in the logistic regression model to determine the impact of HHC on readmission after adjusting for available clinical confounders. We considered post-weighting standardized differences <10% as appropriate for our ATT model. To determine clinical factors associated with readmission, we also performed a multi-variable logistic regression with readmission as the end-point. All results were reported as risk ratios (RR) with their 95% confidence intervals (CI). Results: Between January 2012 to December 2014, 406,237 patients were treated for AMI and discharged home with or without HHC. Among these 9.4% (38,215) received HHC. HHC+ patients were older (mean age 77 ± 11 vs 60 ±12 years p<0.001), more likely to be female (53.6% vs. 26.9%, p <0.001), and have cancer (3.7% vs 1.3%, p <0.001), congestive heart failure (5.7% vs. 0.5%, p <0.001), chronic pulmonary disease (23.2% vs. 12.7%, p <0.001), chronic kidney disease (26.9% vs 6.9%, p <0.001), diabetes (35.6% vs. 26.7%, p <0.001), hypertension (70.7% vs. 64.8%, p <0.001) and peripheral vascular disease (14.6% vs 6.4%, p <0.001). Patients readmitted after MI were more likely to be older and have diabetes (RR 1.42, 95% CI 1.37-1.48), CHF (RR 5.89, CI 5.55-6.26) or COPD (RR 1.59, 1.52-1.65). Unadjusted 30-day readmission rate was 20.9% for HHC+ and 8.2% for HHC- patients. Propensity-weighted adjustment for covariates yielded 36,979 HHC+ patients and 37,785 HHC- patients. Adjusted risk rations (RR) for 30-day readmission were computed using ATT weights, and HHC+ patients had significantly lower readmission risk (RR 0.89, 95% CI 0.82 - 0.96) compared to HHC- (RR 1.12, 95% CI 1.04 - 1.21; p < 0.001) Conclusion: In the United States, a small proportion of patients receive home health care after discharge post-AMI. Older, females and those with diabetes or heart failure are more likely to receive home health care. Use of home health care may be associated with lower 30-day readmission rates after AMI.


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