The day of the week and acute heart failure admissions: Relationship with acute myocardial infarction, 30-day readmission rate and in-hospital mortality

Are heart attacks deadlier on weekends? Evidence of weekend effect in Brazil

This article aims to examine the effects of weekend admission on in-hospital mortality for patients with acute myocardial infarction (AMI) in Brazil. Information from the Hospital Information System of the Unified Health System (SIH/SUS) of urgently admitted patients diagnosed with acute myocardial infarction (AMI) between 2008 and 2018 was used, made available through the Hospital Admission Authorization (AIH). Multivariable logistic regression models, controlling for observable patient characteristics, hospital characteristics and year and hospital-fixed effects, were used. The results were consistent with the existence of the weekend effect. For the model adjusted with the inclusion of all controls, the chance of death observed for individuals hospitalized on the weekend is 14% higher. Our results indicated that there is probably an important variation in the quality of hospital care depending on the day the patient is hospitalized. Weekend admissions were associated with in-hospital AMI mortality in Brazil. Future research should analyze the possible channels behind the weekend effect to support public policies that can effectively make healthcare equitable.

Weekend and holiday admissions for decompensated heart failure and in-hospital mortality. A cumulative effect of "nonworking" days?

INTRODUCTION AND OBJECTIVES

The aim of this study was to analyze whether nonelective admissions in patients with heart failure (HF) on nonworking days (NWD) are associated with higher in-hospital mortality.

METHODS

We conducted a retrospective (2018-2019) observational study of episodes of nonelective admissions in patients aged 18 years and older discharged with a principal diagnosis of HF in acute general hospitals of the Spanish National Health System. NWD at admission were defined as Fridays after 14:00hours, Saturdays, Sundays, and national and regional holidays. In-hospital mortality was analyzed with logistic regression models. The length of NWD was considered as an independent continuous variable. Propensity score matching was used as a sensitivity analysis.

RESULTS

We selected 235 281 episodes of nonelective HF admissions. When the NWD periods were included in the in-hospital mortality model, the increases in in-hospital mortality compared with weekday admission were as follows: 1 NWD day (OR, 1.11; 95%CI, 1.07-1.16); 2 days (OR, 1.13; 95%CI, 1.09-1.17); 3 (OR, 1.16; 95%CI, 1.05-1.27); and ≥4 days (OR, 1.20; 95%CI, 1.09-1.32). There was a statistically significant association between a linear increase in NWD and higher risk-adjusted in-hospital mortality (chi-square trend P=.0002). After propensity score matching, patients with HF admitted on NWD had higher in-hospital mortality than those admitted on weekdays (OR, 1.11; average treatment effect, 12.2% vs 11.1%; P<.001).

CONCLUSIONS

We found an association between admissions for decompensated HF on an NWD and higher in-hospital mortality. The excess mortality is likely not explained by differences in severity. In this study, the "weekend effect" tended to increase as the NWD period became longer.

Comparison of 30-day Readmission Rates and Inpatient Cardiac Procedures for Weekday Versus Weekend Hospital Admissions for Heart Failure

BACKGROUND

Whether the timing of hospital presentation impacts care delivery and clinical outcomes for patients hospitalized for heart failure (HF) remains a matter of debate. In this study, we examined all-cause and HF-specific 30-day readmission rates for patients who were admitted for HF on a weekend vs admitted for HF on a weekday.

METHODS AND RESULTS

We conducted a retrospective analysis using the 2010-2019 Nationwide Readmission Database to compare 30-day readmission rates among patients who were admitted for HF on a weekday (Monday to Friday) vs patients who were admitted for HF on a weekend (Saturday or Sunday). We also compared in-hospital cardiac procedures and temporal trends in 30-day readmission by day of index hospital admission. Among 8,270,717 index HF hospitalizations, 6,302,775 were admitted on a weekday and 1,967,942 admitted on a weekend. For weekday and weekend admissions, the 30-day all-cause readmission rates were 19.8% vs 20.3%, and HF-specific readmission rates were 8.1% vs 8.4%, respectively. Weekend admissions were independently associated with higher risk of all-cause (adjusted odds ratio [aOR] 1.04, 95% confidence interval [CI] 1.03-1.05, P < .001) and HF-specific readmission (aOR 1.04, 95% CI 1.03-1.05, P < .001). Weekend HF admissions were less likely to undergo echocardiography (aOR 0.95, 95% CI 0.94-0.96, P < .001), right heart catheterization (aOR 0.80, 95% CI 0.79-0.81, P < .001), electrical cardioversion (aOR 0.90, 95% CI 0.88-0.93, P < .001), or receive temporary mechanical support devices (aOR 0.84, 95% CI 0.79-0.89, P < .001). The mean length of stay was shorter for weekend HF admissions (5.1 days vs 5.4 days, P < .001). Between 2010 and 2019, 30-day all-cause (18.5% to 18.2%, trend P < .001) and HF-specific (8.4% to 8.3%, trend P < .001) readmission rates decreased among weekday HF admissions. Among weekend HF admissions, the HF-specific 30-day readmission rate decreased (8.8% to 8.7%, trend P < .001), but the all-cause 30-day readmission rate remained stable (trend P = .280).

CONCLUSIONS

Among patients hospitalized for HF, weekend admissions were independently associated with excess risk of 30-day all-cause and HF-specific readmission and a lower likelihood of undergoing in-hospital cardiovascular testing and procedures. The 30-day all-cause readmission rate has decreased modestly over time among patients admitted on weekdays, but has remained stable among patients admitted on weekends.

Hospitalization for acute heart failure during non-working hours impacts on long-term mortality: the REPORT-HF registry

AIMS

Hospital admission during nighttime and off hours may affect the outcome of patients with various cardiovascular conditions due to suboptimal resources and personnel availability, but data for acute heart failure remain controversial. Therefore, we studied outcomes of acute heart failure patients according to their time of admission from the global International Registry to assess medical practice with lOngitudinal obseRvation for Treatment of Heart Failure.

METHODS AND RESULTS

Overall, 18 553 acute heart failure patients were divided according to time of admission into 'morning' (7:00-14:59), 'evening' (15:00-22:59), and 'night' (23:00-06:59) shift groups. Patients were also dichotomized to admission during 'working hours' (9:00-16:59 during standard working days) and 'non-working hours' (any other time). Clinical characteristics, treatments, and outcomes were compared across groups. The hospital length of stay was longer for morning (odds ratio: 1.08; 95% confidence interval: 1.06-1.10, P < 0.001) and evening shift (odds ratio: 1.10; 95% confidence interval: 1.07-1.12, P < 0.001) as compared with night shift. The length of stay was also longer for working vs. non-working hours (odds ratio: 1.03; 95% confidence interval: 1.02-1.05, P < 0.001). There were no significant differences in in-hospital mortality among the groups. Admission during working hours, compared with non-working hours, was associated with significantly lower mortality at 1 year (hazard ratio: 0.88; 95% confidence interval: 0.80-0.96, P = 0.003).

CONCLUSIONS

Acute heart failure patients admitted during the night shift and non-working hours had shorter length of stay but similar in-hospital mortality. However, patients admitted during non-working hours were at a higher risk for 1 year mortality. These findings may have implications for the health policies and heart failure trials.

Etiologies and Predictors of 30-Day Readmission in Heart Failure: An Updated Analysis

BACKGROUND AND OBJECTIVES

Readmissions in heart failure (HF), historically reported as 20%, contribute to significant patient morbidity and high financial cost to the healthcare system. The changing population landscape and risk factor dynamics mandate periodic epidemiologic reassessment of HF readmissions.

METHODS

National Readmission Database (NRD, 2019) was used to identify HF-related hospitalizations and evaluated for demographic, admission characteristics, and comorbidity differences between patients readmitted vs. those not readmitted at 30-days. Causes of readmission and predictors of all-cause, HF-specific, and non-HF-related readmissions were analyzed.

RESULTS

Of 48,971 HF patients, the readmitted cohort was younger (mean 67.4 vs. 68.9 years, p≤0.001), had higher proportion of males (56.3% vs. 53.7%), lowest income quartiles (33.3% vs. 28.9%), Charlson comorbidity index (CCI) ≥3 (61.7% vs. 52.8%), resource utilization including large bed-size hospitalizations, Medicaid enrollees, mean length of stay (6.2 vs. 5.4 days), and disposition to other facilities (23.9% vs. 20%) than non-readmitted. Readmission (30-day) rate was 21.2% (10,370) with cardiovascular causes in 50.3% (HF being the most common: 39%), and non-cardiac in 49.7%. Independent predictors for readmission were male sex, lower socioeconomic status, nonelective admissions, atrial fibrillation, chronic obstructive pulmonary disease, chronic kidney disease, anemia, and CCI ≥3. HF-specific readmissions were significantly associated with prior coronary artery disease and Medicaid enrollment.

CONCLUSIONS

Our analysis revealed cardiac and noncardiac causes of readmission were equally common for 30-day readmissions in HF patients with HF itself being the most common etiology highlighting the importance of addressing the comorbidities, both cardiac and non-cardiac, to mitigate the risk of readmission.

Associations between short-term exposure of PM2.5 constituents and hospital admissions of cardiovascular diseases among 18 major Chinese cities

Previous studies showed different risk effects on exposure of fine particulate matter (PM_2.5) mass for cardiovascular disease (CVD) globally, which is likely due to different constituents of PM_2.5. This study aimed to investigate the association between short-term exposure of PM_2.5 constituents and hospital admissions of CVD. Daily counts of city-specific hospital admissions for CVD in 18 cities in China between 2014 and 2017 were extracted from the national Urban Employee Basic Medical Insurance database and the Beijing Municipal Commission of Health and Family Planning Information Center database. Directly measured PM_2.5 constituents, including ions and polycyclic aromatic hydrocarbons, were collected by the Chinese Environmental Public Health Tracking system. We used the time-stratified case-crossover design to estimate the association between PM_2.5 constituents and hospital admissions of CVD. Concentrations of ions accounted for the majority of the detected constituents. Excess risk (ER) of average ions concentrations for CVD was highest as 2.30% (95% CI: 1.62-2.99%) for NH₄⁺, whose major sources are residential and agricultural emissions. This was followed by 1.85% (1.30-2.41%) for NO₃^- (generally from vehicles), 0.95% (0.28-1.63%) for SO₄^2- (often from fossil fuel burning) respectively. The association for ions were generally consistent with ischemic heart disease (IHD) and ischemic stroke, e.g., NH₄⁺ was associated with IHD (2.50%; 1.52-3.48%) and ischemic stroke (1.77%; 0.65-2.9%). For polycyclic aromatic hydrocarbons (PAHs), mainly from coal and vehicle-related oil combustion, the constituents were all associated with ischemic stroke but not for IHD. The ER for ischemic stroke was highest at 1.69% (0.99-2.39%) for indeno (123-cd) pyrene. Thus, in terms of the subtypes of CVD, the risks of hospital admissions varied with exposure to different PM_2.5 constituents. Exposed to NH₄⁺ had the highest risk to IHD and ischemic stroke, whereas PAHs were predominately associated with ischemic stroke only.

The Effect of Admission During the Weekend On In-Hospital Outcomes for Patients With Peripartum Cardiomyopathy

Background Previous studies have shown that patients with heart failure (HF) and cardiogenic shock (CS) have worse outcomes when admitted over the weekend. Since peripartum cardiomyopathy (PPCM) is a cause of CS and persisting HF, it is reasonable to extrapolate that admission over the weekend would also have deleterious effects on PPCM outcomes. However, the impact of weekend admission has not been specifically evaluated in patients with PPCM. Methods We analyzed the National Inpatient Sample (NIS) from 2016 to 2019. The International Classification of Diseases, tenth revision (ICD-10) codes were used to identify all admissions with a primary diagnosis of PPCM. The sample was divided into weekday and weekend groups. We performed a multivariate regression analysis to estimate the effect of weekend admission on specified outcomes. Results A total of 6,120 admissions met the selection criteria, and 25.3% (n=1,550) were admitted over the weekend. The mean age was 31.3 ± 6.4 years. There were no significant differences in baseline characteristics between study groups. After multivariate analysis, weekend admission for PPCM was not associated with in-hospital mortality, ventricular arrhythmias, sudden cardiac arrest, thromboembolic events, cardiovascular implantable electronic device placement, and mechanical circulatory support insertion. Conclusion In conclusion, although HF and CS have been associated with worse outcomes when admitted over the weekend, we did not find weekend admission for PPCM to be independently associated with worse clinical outcomes after multivariate analysis. These findings could reflect improvement in the coordination of care over the weekend, improvement in physician handoff, and increased utilization of shock teams.

Comparison of Outcomes Among Patients With Cardiogenic Shock Admitted on Weekends Versus Weekdays

Cardiogenic shock (CS) is associated with high mortality and often requires involvement of a multidisciplinary provider team to deliver timely care. Care coordination is more difficult on weekends, which may lead to a delay in care. We sought to assess the effect of weekend admissions on outcomes in patients admitted with CS. Patients admitted with CS were identified from 2005 to 2014 in the National Inpatient Sample using ICD9 code 785.51. Baseline demographics, in-hospital procedures, and outcomes were obtained and compared by day of admission. A multivariable model was used to assess the impact of weekend admission on in-hospital mortality. A total of 875,054 CS admissions were identified (age 67.4 ± 15.1 years, 40.2% female, 72.1% Caucasian), with 23% of patients being admitted on weekends. Baseline co-morbidities were similar between groups. Weekend admissions were associated with higher in-hospital mortality (40.6% vs 37.5%) and cardiac arrest (20.3% vs 18.1%, p < 0.001 for both) consistently over the study period. Use of temporary and permanent mechanical support devices and heart transplantation were slightly less common for weekend admissions. In a multivariable model adjusting for relevant confounders, weekend admission was associated with a 10% increased mortality in patients with CS. In conclusion, patients with CS admitted on weekends had higher in-hospital mortality and were slightly less likely to receive mechanical support and advanced therapies compared with those admitted on weekdays. Future studies and health system initiatives should focus on rectifying these disparities with around-the-clock multidisciplinary coordinated care for CS.

Hospitalized with stroke at the weekend: Higher cost and risk of early death?

OBJECTIVES

Previous studies have shown that weekend hospitalizations are associated with poorer health outcomes and higher mortality ("weekend effect"). However, few of these studies have adjusted for disease severity and little is known about the effect on costs. This work investigates the weekend effect and its costs for patients with cerebral infarction in Germany, adjusting for patient characteristics and proxies of stroke severity.

METHODS

Adult patients with a cerebral infarction hospitalization 10th revision of the International statistical classification of diseases and related health problems (ICD-10: I63) between 01 January 2014 and 30 June 2017 were included from German health claims (AOK PLUS dataset). Propensity score matching was used to match patients hospitalized on weekends or on public holidays (weekend group) with patients hospitalized during the working week (workday group), based on baseline characteristics and proxies for disease severity such as concomitant diagnoses of aphasia, ataxia, and coma, or peg tube at index hospitalization. Matched cohorts were compared in terms of in-hospital, 7-day, and 30-day mortality, as well as risk and costs of stroke and rehabilitation stays in the year after first stroke.

RESULTS

Of 32,311 patients hospitalized with cerebral infarction between 01 January 2014 and 30 June 2017, 8409 were in the weekend group and 23,902 in the workday group. After propensity score matching, 16,730 patients were included in our study (8365 per group). Matched cohorts did not differ in baseline characteristics or stroke severity. In the weekend group, the risk of in-hospital death (11.2%) and the seven-day mortality rate (6.8%) were 13.1% and 17.2% higher than in the workday group, respectively (both p < 0.01). The hazard ratio for death in the weekend group was 1.1 (p = 0.043). The risks of subsequent stroke hospitalization and rehabilitation stays for a stroke were 8.4% higher and 5.5% higher in the weekend group (both p = 0.02). As a result, the stroke-related hospitalization and rehabilitation costs per patient year were, respectively, 5.6% and 8.0% higher in the weekend group (both p = 0.01).

CONCLUSIONS

A significant weekend effect emerged after controlling for observable patient characteristics and proxies of stroke severity. This effect also resulted in higher costs for patients admitted on weekends.

The Association of the Day of the Week with Outcomes of Infrainguinal Lower Extremity Bypass

BACKGROUND

The day of the week (DOW) for performing procedures and operations has been shown to affect clinical and resource utilization outcomes. Limited published data are available on vascular surgery operations. Our primary objective was to assess outcomes by DOW for infrainguinal lower extremity bypass (LEB) performed for claudication or rest pain. The secondary objective was to assess outcomes by DOW for LEBs performed for tissue loss.

METHODS

The Vascular Quality Initiative was queried from 2003 to 2018 for all elective index infrainguinal LEBs performed for claudication or rest pain. Cases performed for acute limb ischemia as well as concomitant peripheral vascular intervention, nonelective LEBs, sequential grafts, and weekend cases were excluded. LEBs were grouped by DOW: Monday-Tuesday (early weekdays) versus Wednesday-Friday (later weekdays). Baseline data, operative details, and outcomes were collected. Univariate and multivariable analyses were performed. LEBs performed for claudication/rest pain were analyzed together while tissue loss was assessed separately.

RESULTS

There were 12,084 LEBs identified-44.5% performed on Monday-Tuesday and 55.5% on Wednesday-Friday. Overall, the mean age was 65.6 years, 68.6% were male, and 82.8% were Caucasian. LEBs were performed for claudication in 57.4% of cases. An autogenous great saphenous vein was used in 58.8% of cases, whereas a prosthetic graft was used in 35.1% of cases. The most common bypass origin was the femoral artery (94.1%), and target was the popliteal artery (70.1%). Significant differences between Monday-Tuesday versus Wednesday-Friday, respectively, were mean body mass index (27.8 kg/m² vs. 28 kg/m²), preoperative aspirin use (74.2% vs. 72.5%), continuous vein harvest technique (41.9% vs. 44%), and mean operative time (mins) (216.2 vs. 222.6) (all P < 0.05). Univariate postoperative outcomes were significantly different between Monday-Tuesday versus Wednesday-Friday, respectively, for mean length of stay (LOS) (days) (3.9 vs. 4.3), cardiac complications (myocardial infarction/dysrhythmia/congestive heart failure) (3.5% vs. 4.9%), stroke (0.3% vs. 0.6%), and respiratory complications (0.8% vs. 1.3%) (all P < 0.05). Multivariable analysis demonstrated that LEBs performed on Wednesday-Friday versus Monday-Tuesday for claudication/rest pain were independently associated with cardiac complications and prolonged LOS. There were also 8,491 LEBs performed for tissue loss which overall had similar findings to LEBs performed for claudication/rest pain such as increased LOS for LEBs performed for tissue loss on Wednesday-Friday (P < 0.001) and similar likeliness for respiratory complication, wound complication, return to the operating room, and mortality (all P > 0.05). However, LEBs performed for tissue loss on Wednesday-Friday versus Monday-Tuesday had similar cardiac complications (P > 0.05).

CONCLUSIONS

Elective LEBs performed on later weekdays for claudication/rest pain were associated with cardiac complications and prolonged LOS, whereas tissue loss confirmed association with prolonged LOS. Further investigations are needed to identify whether increased resources or allocation of resources should be focused on later weekdays to optimize patient outcomes.

Likelihood of admission to hospital from the emergency department is not universally associated with hospital bed occupancy at the time of admission

Background

The decision to admit into the hospital from the emergency department (ED) is considered to be important and challenging. The aim was to assess whether previously published results suggesting an association between hospital bed occupancy and likelihood of hospital admission from the ED can be reproduced in a different study population.

Methods

A retrospective cohort study of attendances at two Swedish EDs in 2015 was performed. Admission to hospital was assessed in relation to hospital bed occupancy together with other clinically relevant variables. Hospital bed occupancy was categorized and univariate and multivariate logistic regression were performed.

Results

In total 89,503 patient attendances were included in the final analysis. Of those, 29.1% resulted in admission within 24 h. The mean hospital bed occupancy by the hour of the two hospitals was 87.1% (SD 7.6). In both the univariate and multivariate analysis, odds ratio for admission within 24 h from the ED did not decrease significantly with an increasing hospital bed occupancy.

Conclusions

A negative association between admission to hospital and occupancy level, as reported elsewhere, was not replicated. This suggests that the previously shown association might not be universal but may vary across sites due to setting specific circumstances.

Time of day does not influence outcomes in acute type A aortic dissection: Results from the IRAD

BACKGROUND

Type A acute aortic dissection (TAAAD) represents a surgical emergency requiring intervention regardless of time of day. Whether such a "evening effect" exists regarding outcomes for TAAAD has not been previously studied using a large registry data.

METHODS

Patients with TAAAD were identified from the International Registry of Acute Aortic Dissections (1996-2019). Outcomes were compared between patients undergoing operative repair during the daytime (D), defined as 8 am-5 pm, versus the evening (N), defined as 5 pm-8 am.

RESULTS

Four thousand one-hundrd and ninety-seven surgically treated patients with TAAAD were identified, with 1824 patients undergoing daytime surgery (43.5%) and 2373 patients undergoing evening surgery (56.5%). Daytime patients were more likely to have undergone prior cardiac surgery (13.2% vs. 9.5%; p < .001) and have had a prior aortic dissection (4.8% vs. 3.4%; p = .04). Evening patients were more likely to have been transferred from a referring hospital (70.8% vs. 75.0%; p = .003). Daytime patients were more likely to undergo aortic valve sparing root procedures (23.3% vs. 19.2%; p = .035); however, total arch replacement was performed with equal frequency (19.4% vs. 18.8%; p = .751). In-hospital mortality (D: 17.3% vs. N. 16.2%; p = .325) was similar between both groups. Subgroup analysis examining the effect of weekend presentation revealed no significant mortality difference.

CONCLUSIONS

A majority of TAAAD patients underwent surgical repair at night. There were higher rates of postoperative tamponade in evening patients; however, mortality was similar. The expertise of cardiac-dedicated operative and critical care teams regardless of time of day as well as training paradigms may explain similar mortality outcomes in this high risk population.

Association of weekend admission and clinical outcomes in hospitalized patients with sepsis: An observational study

Sepsis is associated with impaired clinical outcomes. It requires timely diagnosis and urgent therapeutic management. Because staffing during after-hours is limited, we explored whether after-hour admissions are associated with worse clinical outcomes in patients with sepsis.In this retrospective cohort study, we analyzed nationwide acute care admissions for a main diagnosis of sepsis in Switzerland between 2006 and 2016 using prospective administrative data. The primary outcome was in-hospital mortality using multivariable logistic regression models. Secondary outcomes were intensive care unit (ICU) admission, intubation, and 30-day readmission.We included 86,597 hospitalizations for sepsis, 60.1% admitted during routine-hours, 16.8% on weekends and 23.1% during night shift. Compared to routine-hours, we found a higher odds ratio (OR) for in-hospital mortality in patients admitted on weekends (Adjusted OR 1.05, 95% confidence interval [95% CI] 1.01, 1.10, P = .041). Also, the OR for ICU admission (OR 1.14, 95% CI 1.10, 1.19, P < .001) and intubation (OR 1.18, 95% CI 1.12, 1.25 P < .001) was higher for weekends compared to routine-hours. Regarding 30-day readmission, evidence for an association could not be observed. Night shift admission, compared to routine-hours, was associated with a higher OR for ICU admission and intubation (ICU admission: OR 1.28 (1.23, 1.32), P < .001; intubation: OR 1.31, 95% CI 1.25, 1.37, P < .001) but with a lower OR for in-hospital mortality (OR 0.93, 19% CI 0.89, 0.97, P = .001).Among hospitalizations with a main diagnosis of sepsis, weekend admissions were associated with higher OR for in-hospital mortality, ICU admission, and intubation. Whether these findings can be explained by staffing-level differences needs to be addressed.

Clinical correlates of hand-held ultrasound-guided assessments of the inferior vena cava in patients with acute decompensated heart failure

BACKGROUND

Accurately assessing volume status in acutely decompensated heart failure (ADHF) can be challenging. Inferior vena cava (IVC) dynamics by echocardiography allow indirect assessment of volume status in these patients. Recently introduced hand-held ultrasound devices are promising. We aimed to describe the clinical correlates of volume status assessment using a hand-held ultrasound device in ADHF.

METHODS

In this prospective study, we evaluated 106 patients admitted with ADHF. First scan was performed within 24 hours of admission and timed in reference to first dose of intravenous diuretic. Daily resting and inspiratory (sniff) IVC diameters were measured according to standard echocardiography methods during hospitalization including the day of discharge. IVC collapsibility index (IVC-CI = Maximum IVC diameter-Inspiratory IVC diameter/maximum diameter; <0.5 representing hypervolemia) was calculated. Primary study endpoint was 30-day readmission. Research activities were independent of clinical decision-making.

RESULTS

Data for 106 patients was analyzed. Mean age was 66.7 ± 13.8 years, of which 53.8% were females, and a mean ejection fraction was 39 ± 18%. Initial scan of the IVC was obtained at an average time of 5.2 ± 8.04 hours from first diuretic dose. 81.2% of patients at admission had an IVC-CI <0.5. 63.2% patients had an IVC-CI <0.5 at discharge. There were no significant differences in age, length of stay, diuretic dose, or 30-day readmissions between patients with a discharge IVC-CI <0.5 vs ≥ 0.5.

CONCLUSION

Hand-held ultrasound assessment of IVC-CI in ADHF patients, although a feasible concept, is unable to predict 30-day readmissions in our study. Further prospective studies are necessary.

Readmissions Among Patients Admitted With Acute Decompensated Heart Failure Based on Income Quartiles

OBJECTIVE

To determine the impact of socioeconomic status using median household income within the patient's community on rate of readmission among patients with heart failure (HF).

PATIENTS AND METHODS

We derived a study cohort of patients who were admitted from January 1, 2013, through December 31, 2014, with congestive HF from the Healthcare Cost and Utilization Project National Readmission Database. Patients were stratified into quartiles according to the estimated median household income of residents in the patient's ZIP Code (quartile 1, lowest; quartile 4, highest). The primary outcome was 30-day readmission. We used univariate and multivariate models to compare patients with respect to baseline characteristics, income quartiles, and 30-day readmission.

RESULTS

About 20% (110,152 of 546,841) of patients with an index HF admission were readmitted within the first 30 days. Patients in the lowest income quartile had a higher readmission rate compared with those in the highest income quartile (21.1% [35,422 of 167,625] vs 19.5% [20,771 of 106,353]; P<.001). Patients within the lowest income group had higher odds of readmission for cardiovascular causes compared with the highest income group (50.6% [17,923 of 35,422] vs 48.8% [10,136 of 20,771; P<.001). Readmissions within the lowest income group accounted for 30% of all rehospitalization-related costs at $715 million. Multivariate analysis confirmed a higher rate of 30-day readmission among patients in the lowest income group compared with those in the highest group (adjusted odds ratio, 1.11; 95% CI, 1.08-1.13).

CONCLUSION

Our study shows that patients in communities with the lowest quartile of income have a higher rate of readmission following the index HF admission with high associated costs. Readmission reporting and reimbursement adjustments should account for these socioeconomic inequalities.

Readmission and processes of care across weekend and weekday hospitalisation for acute myocardial infarction, heart failure or stroke: an observational study of the National Readmission Database

OBJECTIVES

Variation in hospital resource allocations across weekdays and weekends have led to studies of the 'weekend effect' for ST elevation myocardial infarction (STEMI), non-ST elevation myocardial infarction (NSTEMI), heart failure (HF) and stroke. However, few studies have explored the 'weekend effect' on unplanned readmission. We aimed to investigate 30-day unplanned readmissions and processes of care across weekend and weekday hospitalisations for STEMI, NSTEMI, HF and stroke.

DESIGN

We grouped hospitalisations for STEMI, NSTEMI, HF or stroke into weekday or weekend admissions. Multivariable adjusted ORs for binary outcomes across weekend versus weekday (reference) groups were estimated using logistic regression.

SETTING

We included all non-elective hospitalisations for STEMI, NSTEMI, HF or stroke, which were recorded in the US Nationwide Readmissions Database between 2010 and 2014.

PARTICIPANTS

The analysis sample included 659 906 hospitalisations for STEMI, 1 420 600 hospitalisations for NSTEMI, 3 027 699 hospitalisations for HF, and 2 574 168 hospitalisations for stroke.

MAIN OUTCOME MEASURES

The primary outcome was unplanned 30-day readmission. As secondary outcomes, we considered length of stay and the following processes of care: coronary angiography, primary percutaneous coronary intervention, coronary artery bypass graft, thrombolysis, brain scan/imaging, thrombectomy, echocardiography and cardiac resynchronisation therapy/implantable cardioverter-defibrillator.

RESULTS

Unplanned 30-day readmission rates were 11.0%, 15.1%, 23.0% and 10.9% for STEMI, NSTEMI, HF and stroke, respectively. Weekend hospitalisations for HF were associated with a statistically significant but modest increase in 30-day readmissions (OR of 1.045, 95% CI 1.033 to 1.058). Weekend hospitalisation for STEMI, NSTEMI or stroke was not associated with increased risk of 30-day readmission.

CONCLUSION

There was no clinically meaningful evidence against the supposition that weekend and weekday hospitalisations have the same 30-day unplanned readmissions. Thirty-day readmission rates were high, especially for HF, which has implications for service provision. Strategies to reduce readmission rates should be explored, regardless of day of hospitalisation.

Taking a Day Off in the Care of Patients With Acute Decompensated Heart Failure: The Weekend Effect

See Article Mounsey et al

In-Hospital and Postdischarge Mortality Among Patients With Acute Decompensated Heart Failure Hospitalizations Ending on the Weekend Versus Weekday: The ARIC Study Community Surveillance

Background

Hospital staffing is usually reduced on weekends, potentially impacting inpatient care and postdischarge coordination of care for patients with acute decompensated heart failure (ADHF). However, investigations of in‐hospital mortality on the weekend versus weekday, and post‐hospital outcomes of weekend versus weekday discharge are scarce.

Methods and Results

Hospitalizations for ADHF were sampled by stratified design from 4 US areas by the Community Surveillance component of the ARIC (Atherosclerosis Risk in Communities) study. ADHF was classified by a standardized computer algorithm and physician review of the medical records. Discharges or deaths on Saturday, Sunday, or national holidays were considered to occur on the “weekend.” In‐hospital mortality was compared between hospitalizations ending on a weekend versus weekday. Post‐hospital (28‐day) mortality was compared among patients discharged alive on a weekend versus weekday. From 2005 to 2014, 39 699 weighted ADHF hospitalizations were identified (19% terminating on a weekend). Demographics, comorbidities, length of stay, and guideline‐directed therapies were similar for patients with hospitalizations ending on a weekend versus weekday. In‐hospital death doubled on the weekend compared with weekday (12% versus 6%) and was not attenuated by adjustment for potential confounders (odds ratio, 2.37; 95% CI, 1.93–2.91). There was no association between weekend discharge and 28‐day mortality among patients discharged alive.

Conclusions

The risk of in‐hospital death among patients admitted with ADHF appears to be doubled on the weekends when hospital staffing is usually reduced. However, among patients discharged alive, hospital discharge on a weekend is not adversely associated with mortality.

See Editorial Mehta and Pandey

PROCESS AND SYSTEMS: A cohort study to evaluate the impact of service centralisation for emergency admissions with acute heart failure

The aim of our study was to describe the impact of emergency care centralisation on unscheduled admissions with a primary discharge diagnosis of acute heart failure (HF). We carried out a retrospective cohort study of HF admissions 1 year before and 1 year after centralisation of three accident and emergency departments into one within a single large NHS trust. Outcomes included mortality, length of stay, readmissions, specialist inpatient input and follow-up, and prescription rates of stabilising medication. Baseline characteristics were similar for 211 patients before and for 307 following reconfiguration. Median length of stay decreased from 8 to 6 days (p=0.020) without an increase in readmissions (4.7% versus 4.2%, p=0.813). The proportion with specialist follow-up increased (60% to 72%, p=0.036). There was a trend towards decreased mortality (32.2% versus 27.7% at 90 days; p=0.266). Contact with the cardiology team was associated with decreased mortality. In conclusion, centralisation of specialist emergency care was associated with greater service efficiency and a trend towards reduced mortality.

National trends in hospitalizations and outcomes in patients with alcoholic cardiomyopathy

BACKGROUND

Numerous studies have shown conflicting results regarding the natural history and outcomes with alcoholic cardiomyopathy (AC).

HYPOTHESIS

Determining the trends in hospitalization among patients with AC and associated outcomes will facilitate a better understanding of this disease.

METHODS

We conducted our analysis on discharge data from the Healthcare Cost and Utilization Project-Nationwide Inpatient Sample (HCUP-NIS) from 2002 through 2014. We obtained data from patients aged ≥18 years with diagnosis of "Alcoholic Cardiomyopathy." Death was defined within the NIS as in-hospital mortality. By using International Classification of Disease-9th edition-Clinical Modification (ICD-9CM) diagnoses and diagnosis-related groups different comorbidities were identified.

RESULTS

We studied a total of 45 365 admissions among patients with AC. The absolute number of admissions decreased from 2002 to 2014 (3866-2834 admissions). In-hospital mortality was variable throughout study duration without a clinically relevant trend (Mean 4.5%, range 3.6%-5.6%). The patients were mostly male (87%) and Caucasian (50.5%). Commonest age groups involved were 45-59 years (46.7%) followed by 60-74 years (29.2%). Trends in associated comorbidities such as smoking, drug abuse, depression, and hypertension increased over the same time period. Among all admissions, almost half were for cardiovascular etiologies (48.9%) and heart failure (≈24%) was the commonest reason for hospital admission.

CONCLUSION

While the overall admissions among patients with AC decreased over time, the proportion of patients with high-risk characteristics such as smoking, depression, and drug abuse increased. Patients aged 45 and older were largely affected and cardiovascular etiologies predominated among causes for admission.

Impacts of Type D Personality and Depression, Alone and in Combination, on Medication Non-Adherence Following Percutaneous Coronary Intervention

Background: Medication adherence after percutaneous coronary intervention (PCI) is essential to preventing the risk of restenosis. Even though Type D personality and depression have been known to affect medication non-adherence, their combined influence on PCI patients remains unclear. Aim: We aimed to identify how both Type D personality and depression were associated with medication non-adherence for 3 months after successful PCI. Methods: This prospective cohort study included 257 PCI patients, who took 3 or more cardiac medications, at a university hospital. We measured sociodemographic and clinical variables, Type D personality, depression, and medication non-adherence using face-to-face interviews and medical record reviews. Results: The total prevalence of medication non-adherence at the one- and three-month follow-ups was 14% and 16%, respectively. At one month, the prevalence of those with a combination of Type D personality and depression (23.4%) and depression alone (24%) was significantly higher than other groups. At three months, the prevalence of the Type D personality-only group (39.1%) was the highest. Type D personality increased the risk of medication non-adherence 5.089 times at three months, while depression increased it 2.6 times at one month. However, the risk of medication non-adherence was not increased in patients with combined Type D personality and depression. Conclusions: Individual assessments of Type D personality and depression are required. Therefore, psychological interventions focusing on personality and depression are crucial. Longitudinal follow-up studies must explore the interaction or individual impact of Type D personality and depression on medication non-adherence and other negative outcomes.

Thirty-Day Readmission Rate in Acute Heart Failure Patients Discharged Against Medical Advice in a Matched Cohort Study

OBJECTIVE

To determine the readmission rate in patients with acute heart failure (AHF) discharged against medical advice (AMA).

METHODS

We performed a retrospective analysis using the 2014 National Readmission Database. Patients admitted with a primary diagnosis of AHF were selected. Only those discharged to home and who left AMA were included in the study. The primary outcome was 30-day readmission. We compared the readmission rates among those discharged AMA vs routinely discharged patients using propensity score matching (PSM) to address imbalance in variables between the 2 groups. We matched 3 routinely discharged patients to 1 patient who left AMA.

RESULTS

We identified 273,489 patients with AHF, of whom 116,869 qualified for further study analysis. A total of 2014 patients (1.7%) were in the AMA group and 114,855 (98.3%) were in the routinely discharged group. After PSM, 6042 routinely discharged patients were matched with 2014 patients from the AMA group. The standard mean difference for each variable was less than 10% postmatching. The 30-day readmission rate among those who left AMA was higher than among those routinely discharged (33% vs 20.1%; P<.001). Heart failure (44.8%) was the most common cause of readmission in the AMA group. Patients who left AMA were more likely to be readmitted to a different hospital compared with those routinely discharged (37.4 vs 23.1%; P<.001). They also had a high rate of leaving AMA during the readmission (18 vs 2%; P<.001).

CONCLUSION

Patients with AHF discharged AMA had a significantly higher 30-day readmission rate than did the routinely discharged group.

Etiologies, predictors, and economic impact of readmission within 1 month among patients with takotsubo cardiomyopathy

BACKGROUND

Limited data exist on readmission among patients with takotsubo cardiomyopathy (TC), a commonly reversible cause of heart failure.

HYPOTHESIS

We sought to identify etiologies and predictors for readmission among TC patients.

METHODS

We queried the National Readmissions Database for 2013-2014 to identify patients with primary admission for TC using ICD-9-CM code 429.83. Patients readmitted to hospital within 1 month after discharge were further evaluated to identify etiologies, predictors, and resultant economic burden of readmission. Additionally, we analyzed readmission for TC at 6 months.

RESULTS

We studied 5997 patients admitted with TC, of whom 1.2% experienced in-hospital mortality. Median age was 67 years, with 91.5% being female. Among survivors, 10.3% were readmitted within 1 month; 25% of the initial 1-month readmissions occurred within 4 days, 50% within 10 days, and 75% within 20 days from discharge. The most common etiologies for readmission were cardiac (26%), respiratory (16%), and gastrointestinal (11%) causes. Heart failure was the most common cardiac etiology. Significant predictors of increased 1-month readmission included systemic thromboembolic events, length of stay ≥3 days, and underlying psychoses. Obesity and private insurance predicted lower 1-month readmission. The annual national cost impact for index admission and 1-month readmissions was ≈$112 million. Recurrent TC was seen among 1.9% of patients readmitted within 6 months.

CONCLUSIONS

Though the overall rate of 1-month readmission following TC is low, associated economic burden from readmission is still significant. Patients are readmitted mostly for noncardiac causes. Readmission for another episode of TC within 6 months was uncommon.

Mortality in sepsis: Comparison of outcomes between patients with demand ischemia, acute myocardial infarction, and neither demand ischemia nor acute myocardial infarction

INTRODUCTION

Elevation in cardiac troponins is common with sepsis despite unclear impact.

HYPOTHESIS

We investigated whether demand ischemia(DI) resulted in variable outcomes compared to acute myocardial infarction(AMI) and those with neither DI nor AMI in sepsis.

METHODS

We analyzed data from the 2011-2014 National Inpatient Sample among patients admitted for sepsis. We compared outcomes among patients with DI i) versus AMI and ii) versus neither DI nor AMI, respectively using propensity matching. Primary study end-point was in-hospital mortality.

RESULTS

We studied 666,154 patients, with mean age 63.7 years and 50.8% female participants. Overall, 94.7% of the included patients had neither DI nor AMI, 4.4% had AMI and 0.83% had DI. Between 2011 and 2014, we observed an increasing trend for DI but decreasing trend for AMI in sepsis. Patients with DI experienced higher rates of atrial and ventricular arrhythmias, had longer length of stay and higher cost of stay compared to patients with neither demand ischemia nor AMI. Despite higher hospital mortality at baseline with DI, post-propensity matching revealed no difference in hospital mortality between patients with DI and those with neither (26.9% vs. 27.0%, adjusted odds ratio 0.99, 95% confidence intervals 0.92-1.07;p=0.87). Patients with DI experienced lower hospital mortality compared to those with AMI pre (28.5% vs. 48.3%;p<0.001) and post-propensity matching (41.1% vs. 29.1%, aOR 0.58, 95% CI 0.54-0.63;p<0.001).

CONCLUSION

Among patients with sepsis, those with DI had similar adjusted in-hospital mortality compared to those with neither DI nor AMI. Patients with AMI had the highest in-hospital mortality among all groups.

Etiologies, Predictors, and Economic Impact of 30-Day Readmissions Among Patients With Peripartum Cardiomyopathy

Peripartum cardiomyopathy (PPCM) is a pregnancy-associated cause of heart failure. Given the significant impact of heart failure on healthcare, we sought to identify etiologies and predictive factors for readmission in PPCM. We queried the 2013 to 2014 National Readmissions Database to identify patients admitted with a diagnosis of PPCM. Patients who were readmitted within 30 days were evaluated to identify etiologies and predictors of readmission. We identified 6,977 index admissions with PPCM. Of the 6,880 (98.6%) patients who survived the index hospitalization, 30-day readmission rate was 13%. Seventy-six percent of readmitted patients were admitted once, and the other 24% were readmitted at least twice within 30 days of discharge. Length of stay was ≥8 days (adjusted odds ratio [aOR] 2.80, 95% confidence interval [CI] 2.08 to 3.77), multiparity (aOR 2.07, 95% CI 1.09 to 3.92), coronary artery disease (aOR 2.28, 95% CI 1.42 to 3.67), and long-term anticoagulation use (aOR 2.51, 95% CI 1.73 to 3.64) were independently associated with increased risk of 30-day readmission. Among the readmissions, 48% were due to cardiac causes, where PPCM and related complications (24%) were the most common cardiac cause followed by heart failure (16%). The annual cost of stay for index admissions was $64.2 million (average cost for index admission was $16,892). The annual charges attributed to readmission within 30 days were ≈$9 million. Cardiac etiologies were the most common cause for 30-day readmissions in PPCM patients, with a readmission rate of 13%. Long-term anticoagulation use, multiparity, coronary disease and length of stay predicted higher 30-day readmission.

Race and Beta-Blocker Survival Benefit in Patients With Heart Failure: An Investigation of Self-Reported Race and Proportion of African Genetic Ancestry

Background

It remains unclear whether beta‐blockade is similarly effective in black patients with heart failure and reduced ejection fraction as in white patients, but self‐reported race is a complex social construct with both biological and environmental components. The objective of this study was to compare the reduction in mortality associated with beta‐blocker exposure in heart failure and reduced ejection fraction patients by both self‐reported race and by proportion African genetic ancestry.

Methods and Results

Insured patients with heart failure and reduced ejection fraction (n=1122) were included in a prospective registry at Henry Ford Health System. This included 575 self‐reported blacks (129 deaths, 22%) and 547 self‐reported whites (126 deaths, 23%) followed for a median 3.0 years. Beta‐blocker exposure (BBexp) was calculated from pharmacy claims, and the proportion of African genetic ancestry was determined from genome‐wide array data. Time‐dependent Cox proportional hazards regression was used to separately test the association of BBexp with all‐cause mortality by self‐reported race or by proportion of African genetic ancestry. Both sets of models were evaluated unadjusted and then adjusted for baseline risk factors and beta‐blocker propensity score. BBexp effect estimates were protective and of similar magnitude both by self‐reported race and by African genetic ancestry (adjusted hazard ratio=0.56 in blacks and adjusted hazard ratio=0.48 in whites). The tests for interactions with BBexp for both self‐reported race and for African genetic ancestry were not statistically significant in any model (P>0.1 for all).

Conclusions

Among black and white patients with heart failure and reduced ejection fraction, reduction in all‐cause mortality associated with BBexp was similar, regardless of self‐reported race or proportion African genetic ancestry.

Causes and Predictors of 30-Day Readmission in Patients With Acute Myocardial Infarction and Cardiogenic Shock

Background:

Acute myocardial infarction (AMI) occurs as a result of irreversible damage to cardiac myocytes secondary to lack of blood supply. Cardiogenic shock complicating AMI has significant associated morbidity and mortality, and data on postdischarge outcomes are limited.

Methods and Results:

We derived the study cohort of patients with AMI and cardiogenic shock from the 2013 to 2014 Healthcare Cost and Utilization Project National Readmission Database. Incidence, predictors, and causes of 30-day readmissions were analyzed. From 43 212 index admissions for AMI with cardiogenic shock, 26 016 (60.2%) survived to discharge and 5277 (20.2% of survivors) patients were readmitted within 30 days. More than 50% of these readmissions occurred within first 10 days. Cardiac causes accounted for 42% of 30-day readmissions (heart failure 20.6%; acute coronary syndrome 11.6%). Among noncardiac causes, respiratory (11.4%), infectious (9.4%), medical or surgical care complications (6.3%), gastrointestinal/hepatobiliary (6.5%), and renal causes (4.8%) were most common. Length of stay ≥8 days (odds ratio [OR], 2.04; 95% confidence interval [CI], 1.70–2.44; P <0.01), acute deep venous thrombosis (OR, 1.26; 95% CI, 1.08–1.48; P <0.01), liver disease (OR, 1.25; 95% CI, 1.03–1.50; P =0.02), systemic thromboembolism (OR, 1.21; 95% CI, 1.02–1.44; P =0.02), peripheral vascular disease (OR, 1.16; 95% CI, 1.07–1.27; P <0.01), diabetes mellitus (OR, 1.16; 95% CI, 1.08–1.24; P <0.01), long-term ventricular assist device implantation (OR, 1.77; 95% CI, 1.23–2.55; P <0.01), intraaortic balloon pump use (OR, 1.10; 95% CI, 1.02–1.18; P <0.01), performance of coronary artery bypass grafting (OR, 0.85; 95% CI, 0.77–0.93; P <0.01), private insurance (OR, 0.72; 95% CI, 0.64–0.80; P <0.01), and discharge to home (OR, 0.85; 95% CI, 0.73–0.98; P =0.03) were among the independent predictors of 30-day readmission.

Conclusions:

In-hospital mortality and 30-day readmission in cardiogenic shock complicating AMI are significantly elevated. Patients are readmitted mainly for noncardiac causes. Identification of high-risk factors may guide interventions to improve outcomes within this population.