scholarly journals GEOGRAPHIC VARIATION IN HOSPITAL LENGTH OF STAY IS A PREDICTOR OF MORBIDITY BUT NOT MORTALITY IN PATIENTS WITH CHRONIC HEART FAILURE

2011 ◽  
Vol 57 (14) ◽  
pp. E1261
Author(s):  
Alec J. Moorman ◽  
Guillermo Torre-Amione ◽  
James B. Young ◽  
Wayne C. Levy
Keyword(s):  
Heart Failure ◽  
Chronic Heart Failure ◽  
Length Of Stay ◽  
Geographic Variation ◽  
Hospital Length ◽  
Hospital Length Of Stay

Abstract 17143: Shorter Length of Stay is Associated With Significantly Lower 30-day All-cause Readmission and 30-day All-cause Mortality in Older Medicare Beneficiaries Hospitalized for Heart Failure

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Cherinne Arundel ◽  
Ali Ahmed ◽  
Rahul Khosla ◽  
Charles Faselis ◽  
Charity Morgan ◽  
...  
Keyword(s):  
Heart Failure ◽  
Length Of Stay ◽  
Prospective Payment System ◽  
Early Discharge ◽  
Continuous Variable ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Medicare Beneficiaries ◽  
Post Discharge ◽  
All Cause Mortality

Background: A shorter hospital length of stay, encouraged by Prospective Payment System Act, may result in suboptimal care and early discharge. Heart failure (HF) is the leading cause for 30-day all-cause readmission. However, it is unknown whether hospitalized HF patients with a shorter length of stay may have higher 30-day all-cause readmission, the reduction of which is a goal of the Affordable Care Act. Methods: The 8049 Medicare beneficiaries hospitalized for HF and discharged alive from 106 U.S. hospitals (1998-2001) had a median length of stay of 5 days (interquartile, 4-8 days), of which 4272 (53%) had length of stay ≤ 5 days. Using propensity scores for length of stay 1-5 days, we assembled a matched cohort of 2788 pairs of patients with length of stay 1-5 and ≥6 days, balanced on 32 baseline characteristics. Results: 30-day all-cause readmission occurred in 19% and 23% of matched patients with length of stay 1-5 and ≥6 days, respectively (HR, 0.79; 95% CI, 0.70-0.89; Figure, left panel). When the length of stay of the 8049 pre-match patients was used as a continuous variable and adjusted for the same 32 variables, each day longer hospital stay was associated with a 2% higher risk of 30-day all-cause readmission (HR, 1.02; 95% CI, 1.01-1.03; p<0.001). Among matched patients, HR for 30-day HF readmission associated with length of stay 1-5 days was 0.84 (95% CI, 0.69-1.01; p=0.063). 30-day all-cause mortality occurred in 4.6% and 6.2% of matched patients with length of stay 1-5 and ≥6 days, respectively (HR, 0.73; 95% CI, 0.58-0.91; Figure, right panel). These associations persisted throughout 12 months post-discharge. Conclusions: Among hospitalized patients with HF, length of stay 1-5 days (vs. longer) was associated with significantly lower 30-day all-cause readmissions and all-cause mortality that persisted throughout first year post-discharge.

scholarly journals PCV127 EFFECT OF TOLVAPTAN ON HOSPITAL LENGTH OF STAY (LOS) WITHIN HYPONATREMIC PATIENTS HOSPITALIZED FOR HEART FAILURE

2009 ◽  
Vol 12 (7) ◽  
pp. A337
Author(s):  
PL Cyr ◽  
K Slawsky ◽  
N Olchanski ◽  
H Krasa ◽  
C Zimmer ◽  
...  
Keyword(s):  
Heart Failure ◽  
Length Of Stay ◽  
Hospital Length ◽  
Hospital Length Of Stay

Relation of Acute Heart Failure Hospital Length of Stay to Subsequent Readmission and All-Cause Mortality

2015 ◽  
Vol 116 (3) ◽  
pp. 400-405 ◽  
Author(s):  
Kristi Reynolds ◽  
Melissa G. Butler ◽  
Teresa M. Kimes ◽  
A. Gabriela Rosales ◽  
Wing Chan ◽  
...  
Keyword(s):  
Heart Failure ◽  
Length Of Stay ◽  
Acute Heart Failure ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
All Cause Mortality

scholarly journals MP44: TEC4Home heart failure: using home telemonitoring to decrease ED readmissions and clinical flow

CJEM ◽  
2018 ◽  
Vol 20 (S1) ◽  
pp. S56-S57
Author(s):  
H. Novak Lauscher ◽  
K. Ho ◽  
J. L. Cordeiro ◽  
A. Bhullar ◽  
R. Abu Laban ◽  
...  
Keyword(s):  
Heart Failure ◽  
Length Of Stay ◽  
Hospital Admissions ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Total Hospital ◽  
Home Telemonitoring ◽  
Patient Health ◽  
Ed Visits ◽  
Improve Patient

Introduction: Patients with Heart failure (HF) experience frequent decompensation necessitating multiple emergency department (ED) visits and hospitalizations. If patients are able to receive timely interventions and optimize self-management, recurrent ED visits may be reduced. In this feasibility study, we piloted the application of home telemonitoring to support the discharge of HF patients from hospital to home. We hypothesized that TEC4Home would decrease ED revisits and hospital admissions and improve patient health outcomes. Methods: Upon discharge from the ED or hospital, patients with HF received a blood pressure cuff, weight scale, pulse oximeter, and a touchscreen tablet. Participants submitted measurements and answered questions on the tablet about their HF symptoms daily for 60 days. Data were reviewed by a monitoring nurse. From November 2016 to July 2017, 69 participants were recruited from Vancouver General Hospital (VGH), St. Pauls Hospital (SPH) and Kelowna General Hospital (KGH). Participants completed pre-surveys at enrollement and post-surveys 30 days after monitoring finished. Administrative data related to ED visits and hospital admissions were reviewed. Interviews were conducted with the monitoring nurses to assess the impact of monitoring on patient health outcomes. Results: A preliminary analysis was conducted on a subsample of participants (n=22) enrolled across all 3 sites by March 31, 2017. At VGH and SPH (n=14), 25% fewer patients required an ED visit in the post-survey reporting compared to pre-survey. During the monitoring period, the monitoring nurse observed seven likely avoided ED admissions due to early intervention. In total, admissions were reduced by 20% and total hospital length of stay reduced by 69%. At KGH (n=8), 43% fewer patients required an ED visit in the post-survey reporting compared to the pre-survey. Hospital admissions were reduced by 20% and total hospital length of stay reduced by 50%. Overall, TEC4Home participants from all sites showed a significant improvement in health-related quality of life and in self-care behaviour pre- to 90 days post-monitoring. A full analysis of the 69 patients will be complete in February 2018. Conclusion: Preliminary findings indicate that home telemonitoring for HF patients can decrease ED revisits and improve patient experience. The length of stay data may also suggest the potential for early discharge of ED patients with home telemonitoring to avoid or reduce hospitalization. A stepped-wedge randomized controlled trial of TEC4Home in 22 BC communities will be conducted in 2018 to generate evidence and scale up the service in urban, regional and rural communities. This work is submitted on behalf of the TEC4Home Healthcare Innovation Community.

Effect of acute kidney injury on hospital-based outcomes in patients with multiple myeloma.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e20006-e20006
Author(s):  
Muhammad Usman Zafar ◽  
Zahid Tarar ◽  
Ghulam Ghous ◽  
Umer Farooq ◽  
Bradley Walter Lash
Keyword(s):  
Heart Failure ◽  
Multiple Myeloma ◽  
Acute Kidney Injury ◽  
Length Of Stay ◽  
Kidney Injury ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Teaching Hospitals ◽  
Inpatient Mortality ◽  
History Of

e20006 Background: Multiple Myeloma, a cancer of plasma cells, is treatable, but incurable. 5-year survival rate is about 54% depending upon the stage. Studies have suggested that up to 50% of the patients experience acute kidney injury or chronic kidney disease at some point in their disease course. Approximately 3% of the patients will end up on hemodialysis. In this study we utilize the National Inpatient Sample (NIS) to understand the effect of acute kidney injury (AKI) on inpatient mortality in multiple myeloma patients. Methods: This is a retrospective study utilizing the data obtained from the NIS for the year 2018. We queried this NIS database for ICD-10 codes for multiple myeloma or plasmacytoma that had not achieved remission or was in relapse. We also looked at codes for acute kidney injury as secondary diagnosis. Primary outcome was inpatient mortality. Secondary outcomes were hospital length of stay and cost utilization. We then ran multivariate logistic regression analysis in STATA MP 16.1. Various comorbidities were accounted for by adding them into the analysis. These included previous history of coronary artery disease, congestive heart failure, stroke, smoking, hyperlipidemia, stem cell transplant, neutropenia and chemotherapy. Results: The population of multiple myeloma patients under investigation were all adults more than 18 years of age and numbered in 3944 patients. The mean age was 65.71 years. Among these 45% were females. While examining inpatient mortality we see that for patients that had AKI the odds of inpatient mortality are higher (Odds Ratio (OR) 1.75, p = 0.003, 95% Confidence Interval (CI) 1.21 – 2.56). History of Heart Failure (OR 2.28, 95% CI 1.59 – 3.28), and increasing age (OR 1.02, 95% CI 1.01 – 1.04) also appear to contribute towards higher odds of mortality. The effect of other comorbidities was not statistically significant. Among demographical characteristics being of Native American heritage or not belonging to any descriptive race predicted higher odds of mortality. Mean LOS was 11 days. Patients with AKI stayed in the hospital longer by ̃1.4 days (Coef. 1.39, 95% CI 0.41 – 2.37). LOS was higher in patients with a history of heart failure (2.61, 95% CI 0.89 – 4.34 and in those with a history of neutropenia (5.52, 95% CI 4.42 – 6.62). LOS was lower in patients with a history of smoking by 1 day. Age lowered the LOS by a clinically insignificant amount. Teaching hospitals had higher LOS by ̃4 days. The total charge for hospitalizations from AKI is higher by $31019 (95% CI 14444.23 – 47594.37). Other factors incurring higher cost include history of neutropenia, and teaching hospitals. Hospitals in the Midwest had lower cost compared to hospitals in the Northeast. Conclusions: Among patients that present with a principal diagnosis of multiple myeloma, having acute kidney injury, adversely affects inpatient outcomes that include, mortality, hospital length of stay and total hospitalization cost.

Abstract 12794: Hospital Length of Stay and Readmissions Post Heart Failure Hospitalization in the EVEREST Trial

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Hassan Khan ◽  
Andreas P Kalogeropoulos ◽  
Andrew P Ambrosy ◽  
Aldo P Maggioni ◽  
Faiez Zannad ◽  
...  
Keyword(s):  
Heart Failure ◽  
Length Of Stay ◽  
Western Europe ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Research Strategies ◽  
Geographical Regions ◽  
America South ◽  
Post Hoc ◽  
The Relationship

Background: Previous reports have provided conflicting data regarding the relationship between length of stay (LOS) and subsequent readmissions risk among patients hospitalized for heart failure (HF). Methods: We performed a post-hoc analysis of the Efficacy of Vasopressin Antagonism in Heart Failure Outcome Study with Tolvaptan (EVEREST) trial to evaluate the differences in LOS overall and between geographical regions (North America, South America, Western Europe, and Eastern Europe) in association with all-cause and cause specific (HF, cardiovascular [CV] non-HF and non-CV) readmissions within 30 days of discharge after HF hospitalization. Results: The median (IQR) LOS among the 4,133 patients enrolled from 20 countries across 359 sites was 8 (4-11) days. The 30-day readmissions rates were 15.6% (95% confidence intervals [CI] 14.6-16.8) for all-cause; 5.5% (95%CI 4.9-6.3) for HF; 4.4% (95%CI 3.8-5.1) for CV non-HF and 5.8% (95%CI 5.1-6.6) for non-CV readmissions. Overall there was a positive correlation between LOS and all cause readmissions (r=0.09; 95%CI 0.06-0.12). The adjusted odds ratio for the top (>14 days) versus the bottom (<3 days) quintile for LOS was 1.39 (95%CI 0. 92-2.11) for all-cause; 0.43 (95%CI 0.24-0.79) for HF; 2.99 (95%CI 1.49-6.02) for CV non-HF and 1.72 (95%CI 1.05-2.81) for non-CV readmissions, Figure 1. These findings remained consistent in analyses within patient characteristic subgroups and also largely within regions. Conclusions: Longer hospital LOS was associated with a higher risk for all-cause, CV non-HF, and non-CV readmissions, and with a lower risk of HF readmissions. These results may have important bearing in developing clinical and research strategies to reduce readmissions.

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