Ceramic-on-Polyethylene Bearing Usage in Primary THA Is Associated with Reduced Readmission Risk for the Medicare Population

2018 ◽  
Vol 02 (01) ◽  
pp. 022-032 ◽  
Author(s):  
Edmund Lau ◽  
Doruk Baykal ◽  
Bryan Springer ◽  
Steven Kurtz
Keyword(s):  
Readmission Rate ◽  
Propensity Scores ◽  
Cox Regression ◽  
Readmission Rates ◽  
Related Factors ◽  
Propensity Score Stratification ◽  
The Impact ◽  
Strength Of Association ◽  
Readmission Risk ◽  
Primary Total Hip Arthroplasty

AbstractThe authors hypothesized that unplanned readmissions, which are often caused by infections and dislocation, may be reduced with ceramic bearing usage. They also sought to confirm that the readmission rates for ceramic bearings were associated with the year of surgery. They identified 245,077 elderly patients (65+) who underwent primary total hip arthroplasty (THA) between 2010 and 2015 with known bearing types (ceramic-on-polyethylene [C-PE] ceramic-on-ceramic [COC], and metal-on-polyethylene [M-PE]) from the Medicare 100% inpatient database. Outcomes included relative risk of 30- and 90-day readmission. Propensity scores were developed to adjust for selection bias in the choice of bearing type at index surgery. Cox regression incorporating propensity score stratification (10 levels) was used to evaluate the impact of bearing selection on outcomes, after adjusting for patient-, hospital-, surgeon-related factors, as well as the year of surgery. With C-PE bearings, the unadjusted (crude) 90-day readmission rate decreased from 8.7% in 2010 to 8.3% in 2015. For COC bearings, the crude 90-day readmission rate decreased from 10.5 to 9.1% from 2010 to 2015. After adjustment, year of surgery was associated with reduced readmission risk for both types of ceramic bearings in 30-day readmissions (p < 0.05) and COC in 90-day readmissions (p < 0.001). The authors also found that C-PE bearings were associated with significantly reduced readmission risk relative to M-PE at 30 days (hazard ratio [HR]: 0.91, p < 0.001) and 90 days (HR: 0.93, p < 0.001). In terms of strength of association with 90-day readmission, however, it was ranked the ninth most associated independent factor. To the authors' knowledge, this is the first study to demonstrate an association between THA implant characteristics (in this case C-PE bearing usage) and reduced readmission rates in this context along with patient- and clinical-related factors. The readmission rates for COC were found to be comparable to M-PE.

scholarly journals The influence of changes in activity-based financing on hospital readmissions for the elderly

2016 ◽  
Vol 4 (2) ◽  
pp. 72-81 ◽  
Author(s):  
Jun Yin ◽  
Fredrik A. Dahl ◽  
Terje P. Hagen ◽  
Hilde Lurås
Keyword(s):  
Readmission Rate ◽  
Hospital Admissions ◽  
Cox Regression ◽  
Average Length ◽  
Hospital Readmissions ◽  
Random Effect ◽  
The Elderly ◽  
Patient Specific ◽  
Readmission Rates ◽  
The Impact

Activity-based financing of Norwegian hospitals was implemented in 1997. An earlier study shows that when the activity-based component increases, the average length of stay for the elderly is reduced. If this reduction entails premature discharge, an increased activity-based component may have the undesirable side effect of increasing readmission rates. Yearly the Norwegian government decides the size of the activity-based component, and all hospitals face the same size. In this paper, we investigate whether the level of activity-based financing is associated with the readmission rates for acute-care patients above 70 years of age. The sample consisted of 468 010 hospital admissions among elderly patients in the period from 2000 to 2007. Using repeated cross-sectional data extracted from the Norwegian Patient Registry, a Cox regression model was used to estimate factors that may influence the hazard rate of a readmission within 30 days. The overall 30-day readmission rate was 6.6%. The results demonstrate that the activity-based component had no significant effect on the readmission rate. Patient-specific factors such as age, gender, diagnoses, comorbidities, as well as the time trend, were important predictors of readmission rates. We also found a statistically significant random effect of hospitals, although this effect was less substantial than the impact of patient characteristics. Our results show that the effect of the activity-based component on the readmission rate was negligible when it varied between 40% and 60%.Published: Online May 2016. In print August 2016.

Abstract WP338: The Impact of Social Determinants of Health on 30-Day Readmission After Ischemic Stroke

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Shivakrishna Kovi ◽  
Shumei Man ◽  
Ken Uchino ◽  
Anne S. Tang ◽  
Rocio Lopez
Keyword(s):  
Logistic Regression ◽  
Ischemic Stroke ◽  
Social Determinants ◽  
Household Income ◽  
Readmission Rate ◽  
Multivariate Logistic Regression ◽  
Readmission Rates ◽  
The Impact ◽  
Zip Code ◽  
Readmission Risk

Objective: Readmission after ischemic stroke presents immense social and financial burden on the patient, family and society. The impact of social determinants of health on post-stroke readmission have not been well studied. This study aimed to examine association of patient social determinants with 30-day readmission risk after ischemic stroke. Methods: We examined patients who were hospitalized for acute ischemic stroke (ICD-9 codes 433.1, 434, and 436) in the state of Florida and New York from February 2012 to November 2013, with a 30-day run-in time and 30-day follow up time. Data were obtained from the State Inpatient Database which was then linked with Census data on social determinants at zip code level. Multivariate logistic regression models were generated to study the association of patient factors with 30-day readmission, after adjusting for patient characteristics, in-hospital infection, hemiplegia, and 16 comorbidities. All statistical analyses were conducted using SAS Version 9.4 software (SAS Institute). Results: A total of 127,290 patients were included in the study. The overall 30-day readmission rate was 23%. The 30-day readmission rates differed by race, insurance but not age, sex or household income at zip code level. The 30-day readmission rate was higher amongst black (27%) and Hispanics (25%), and lower in Native American (17%) and White (22%). Comparable to older age groups, patients who suffered a stroke at young age (<50 years old) had 23% readmission rates at 30 days. In the multivariate logistic regression model, age was not a risk factor for readmission [adjusted odds ratio (OR) 1.0, 95% confidence interval (CI) 1.0-1.0]. Compared to white, black race had higher risk of 30-day readmission (OR1.2, 95% CI 1.1-1.2), as well as Hispanic race (OR1.1, 95% CI 1.1-1.2). Compared to Medicare insurance, patient on Medicaid had higher risk of 30-day readmission (OR 1.1, 95% CI 1.1-1.2). Self-pay patients had lower risk of readmission (OR 0.6, 95% CI 0.5-0.7). Conclusion: Race and medical insurance, not age, sex, or household income, has significant influence in30-day readmission risk after ischemic stroke. This will allow further targeted intervention for readmission reduction.

Impact of Michigan’s new opioid prescribing laws on spine surgery patients: analysis of the Michigan Spine Surgery Improvement Collaborative

2020 ◽  
pp. 1-6
Author(s):  
Paul Park ◽  
Victor Chang ◽  
Hsueh-Han Yeh ◽  
Jason M. Schwalb ◽  
David R. Nerenz ◽  
...  
Keyword(s):  
Spine Surgery ◽  
Spinal Surgery ◽  
Readmission Rate ◽  
Rating Scale ◽  
Short Term ◽  
Readmission Rates ◽  
Opioid Prescribing ◽  
Number Of Patients ◽  
Before And After ◽  
The Impact

OBJECTIVEIn 2017, Michigan passed new legislation designed to reduce opioid abuse. This study evaluated the impact of these new restrictive laws on preoperative narcotic use, short-term outcomes, and readmission rates after spinal surgery.METHODSPatient data from 1 year before and 1 year after initiation of the new opioid laws (beginning July 1, 2018) were queried from the Michigan Spine Surgery Improvement Collaborative database. Before and after implementation of the major elements of the new laws, 12,325 and 11,988 patients, respectively, were treated.RESULTSPatients before and after passage of the opioid laws had generally similar demographic and surgical characteristics. Notably, after passage of the opioid laws, the number of patients taking daily narcotics preoperatively decreased from 3783 (48.7%) to 2698 (39.7%; p < 0.0001). Three months postoperatively, there were no differences in minimum clinically important difference (56.0% vs 58.0%, p = 0.1068), numeric rating scale (NRS) score of back pain (3.5 vs 3.4, p = 0.1156), NRS score of leg pain (2.7 vs 2.7, p = 0.3595), satisfaction (84.4% vs 84.7%, p = 0.6852), or 90-day readmission rate (5.8% vs 6.2%, p = 0.3202) between groups. Although there was no difference in readmission rates, pain as a reason for readmission was marginally more common (0.86% vs 1.22%, p = 0.0323).CONCLUSIONSThere was a meaningful decrease in preoperative narcotic use, but notably there was no apparent negative impact on postoperative recovery, patient satisfaction, or short-term outcomes after spinal surgery despite more restrictive opioid prescribing. Although the readmission rate did not significantly increase, pain as a reason for readmission was marginally more frequently observed.

Rehospitalization as a predictor of mortality in Polish population of heart failure patients-national registry

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
M Zaleska-Kociecka ◽  
K Witczak ◽  
K Bartolik ◽  
D Was ◽  
A Kleinork ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cox Regression ◽  
National Registry ◽  
Funding Source ◽  
Polish Population ◽  
The European Union ◽  
Related Factors ◽  
Comorbidity Burden ◽  
All Cause Mortality ◽  
The Impact

Abstract Background High mortality risk in heart failure (HF) is related to repeat HF hospitalizations but also individual patient characteristics. Purpose To evaluate the impact of HF re-/hospitalizations and patient-related factors (sex, HF etiology, age, comorbidity) on all-cause mortality. Methods Our study represents one of the most extensive retrospective cohort analyses consisting of 1,686,861 adult Polish HF patients who presented into public health system in years 2013–2018. It is a part of a nationwide National Health Fund registry covering out- and in-patient data for the entire Polish population (38,495,659 in 2013) since 2009. HF hospitalizations were extracted using ICD-10 coding, whereas the comorbidity was evaluated by means of Charlson Comorbidity Index (CCI). Results In years 2013–2018 the absolute number of HF hospitalizations in Poland grew by 33% to 264,808 in 2018, whereas the number of rehospitalizations increased 1.5-fold to reach 137,708 in 2018. In fact, nearly half of HF patients (n=817,432; 48.5%) experienced at least one hospitalization, while 15.4% (n=259,868) were rehospitalized during the study period. After initial hospitalization the readmission rate due to HF/all circulatory diseases at 30, 60, 180, 360, and 720 days was 10.4%/15.1%, 21.2%/28.3%, 43.9%/52.8%, 62%/70.4%, and 81%/87%, respectively. As compared to patients who were hospitalized just once, those who underwent at least one rehospitalization were more often female (p&lt;0.001), slightly older (p&lt;0.001), and with higher burden of comorbidities based on CCI (p&lt;0.001). Patient survival was highly dependent on hospitalization frequency (Fig. 1). Mean survival rate at day 720 was 66.4%, 59.8%, 54.9%, 51%, and 43.9% for 1st, 2nd, 3rd, 4th, and ≥5th hospitalization, respectively. After adjusting for age, sex, etiology (ischemic/non-ischemic) and CCI using a multivariate stratified Cox regression model, the estimated hazard ratios (HR) for all-cause mortality amounted to 1.22 (95% CI: 1.21–1.23, p&lt;0.001) for 2nd, 1.4 (95% CI: 1.39–1.42, p&lt;0.001) for 3rd, 1.58 (95% CI: 1.56–1.6, p&lt;0.001) for 4th, and 1.97 (95% CI: 1.95–1.98 p&lt;0.001) for 5th and subsequent hospitalizations, as compared to the first hospitalization. Conclusions Hospitalization rate in Poland is alarmingly high. Repeat HF hospitalizations strongly predict mortality rate for HF patients even after adjustment for age, sex, etiology, and comorbidity burden. Figure 1. Kaplan-Meier for survival post hosp. Funding Acknowledgement Type of funding source: Public grant(s) – EU funding. Main funding source(s): The project is co-financed by the European Union from the European Social Fund under the Operational Programme Knowledge Education Development and it is being carried out by the Analyses and Strategies Department of the Polish Ministry of Health.

scholarly journals Camptocormia in patients with multiple system atrophy at different disease durations: frequency and related factors

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ling Yu Zhang ◽  
Bei Cao ◽  
Qian-Qian Wei ◽  
Ru Wei Ou ◽  
Bi Zhao ◽  
...  
Keyword(s):  
Multiple System Atrophy ◽  
Disease Severity ◽  
Disease Duration ◽  
Rating Scale ◽  
Cox Regression ◽  
Age Of Onset ◽  
Older Age ◽  
Related Factors ◽  
Cox Regression Analysis ◽  
The Impact

Abstract Background Camptocormia is common in patients with multiple system atrophy (MSA). The current study was aimed at assessing the frequency of camptocormia and its related factors in MSA patients with different disease durations. Also, the impact of camptocormia on disability was evaluated. Methods A total of 716 patients were enrolled in the study. They were classified into three groups based on disease duration (≤ 3, 3–5, ≥ 5 years). Specific scales were used to evaluate the motor and non-motor symptoms. Disease severity was assessed using the Unified Multiple System Atrophy Rating Scale (UMSARS). The binary logistic regression model was used to explore the factors related to camptocormia. To analyze the impact of camptocormia on disability in patients with disease duration less than 5 years, propensity score matching (PSM) and stratified Cox regression analysis were used. Results In the current study, we found that the frequency of camptocormia was 8.9, 19.7 and 19.2% when the disease duration was ≤3, 3–5, ≥ 5 years, respectively. In the disease duration ≤3 years group, we found that MSA-parkinsonian subtype (MSA-P) (OR = 2.043, P = 0.043), higher total UMSARS score (OR = 1.063, P < 0.001), older age of onset (OR = 1.047, P = 0.042), and lower score on the frontal assessment battery (FAB) (OR = 0.899, P = 0.046) were associated with camptocormia. Only greater disease severity was associated with camptocormia in the group of patients with disease duration 3–5 years (OR = 1.494, P = 0.025) and in the group of patients with disease duration ≥5 years (OR = 1.076, P = 0.005). There was no significant impact of camptocormia on disability in patients with a disease duration of < 5 years (HR = 0.687, P = 0.463). Conclusion The frequency of camptocormia increased with prolonged disease duration. Disease severity was related to camptocormia at different stages of the disease. The MSA-P subtype, older age of onset, and lower FAB score were associated with camptocormia in the early stage of the disease.

Abstract TP209: Effect of Chemotherapy on Stroke Risk in Cancer Patients

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Takaya Kitano ◽  
Tsutomu Sasaki ◽  
Yasufumi Gon ◽  
Kenichi Todo ◽  
Shuhei Okazaki ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Propensity Scores ◽  
Stroke Risk ◽  
Cox Regression ◽  
Treatment Plan ◽  
University Hospital ◽  
Chemotherapy Group ◽  
Kaplan Meier ◽  
Increased Risk ◽  
The Impact

Introduction: Chemotherapy may be a cause of cancer-associated stroke, but whether it increases stroke risk remains uncertain. We aimed to clarify the impact of chemotherapy on stroke risk in cancer patients. Methods: We investigated 27,932 patients enrolled in a hospital-based cancer registry at Osaka University Hospital between 2007 and 2015. The registry collects clinical data, including cancer status (site and stage), on all patients treated for cancer. Of them, 19,006 patients with complete data were included. A validated algorithm was used to identify stroke events within 2 years of cancer diagnosis. Patients were divided based on whether their initial treatment plan included chemotherapy. The association between chemotherapy and stroke was analyzed using the Kaplan-Meier method and stratified Cox regression. Results: Of the 19,006 patients, 5,887 (31%) patients were in the chemotherapy group. Non-targeted chemotherapy was used in 5,371 patients. Stroke occurred in 44 patients (0.75%) in the chemotherapy group and 51 patients (0.39%) in the no-chemotherapy group. Kaplan-Meier curve analysis showed that patients in the chemotherapy group had a higher stroke risk than patients in the no-chemotherapy group (HR 1.84; 95% CI 1.23-2.75; Figure [A]). However, this difference was insignificant after adjustment for cancer status using inverse probability of treatment weighting with propensity scores (HR 1.20; 95% CI 0.76-1.91; Figure [B]). Similarly, in the stratified Cox regression model, chemotherapy was not associated with stroke after adjustment for cancer status (HR 1.26; 95% CI 0.78-2.03). These findings were consistent with analysis wherein the effect of chemotherapy was treated as a time-dependent covariate (HR 1.02; 95% CI 0.55-1.88). Conclusions: In this population, the elevated stroke risk in cancer patients who received chemotherapy was presumably due to advanced cancer stage; chemotherapy was not associated with the increased risk of stroke.

Type and intensity of FVIII exposure on inhibitor development in PUPs with haemophilia A

2015 ◽  
Vol 113 (05) ◽  
pp. 958-967 ◽  
Author(s):  
Maria Elisa Mancuso ◽  
Elena Santagostino ◽  
Gili Kenet ◽  
Mohssen Elalfy ◽  
Susanne Holzhauer ◽  
...  
Keyword(s):  
Cox Regression ◽  
Meta Analysis ◽  
Treatment Intensity ◽  
Haemophilia A ◽  
Related Factors ◽  
Inhibitor Development ◽  
Patient Level ◽  
Level Data ◽  
Statistical Approaches ◽  
The Impact

SummaryThe impact of treatment-related factors on inhibitor development in previously untreated patients (PUPs) with haemophilia A is still debated. We present the results of a collaborative, individual patient data meta-analytic project. Eligible data sources were published cohorts of PUPs for which patient-level data were available. The exposures of interest were factor (F)VIII type (recombinant [rFVIII] vs plasma-derived [pdFVIII]) and treatment intensity (≥ vs < 150 IU/kg/week) at first treatment. Family history of inhibitors, F8 mutations, age, treatment regimen (on-demand vs prophylaxis), secular trend and surgery were analysed as putative confounders using different statistical approaches (multivariable Cox regression, propensity score analyses, CART). Analyses accounted for the multi-centre origin of the data. We included 761 consecutive, unselected PUPs with moderate to severe haemophilia A from 10 centres in Egypt, Germany, Israel and Italy. A total of 27 % of patients developed inhibitors; 40 % and 22 % of patients treated with rFVIII and pdFVIII (unadjusted HR 2.2, 95 % CI 1.6–2.9), respectively; 51 % and 24 % of patients receiving high-and low-intensity treatment (unadjusted HR 2.9, 95 % CI 2.0–4.2), respectively. In adjusted analyses, only treatment intensity remained an independent predictor; the effect of FVIII type was largely due to confounding, but with a significant interaction between FVIII type and treatment intensity. This patient-level meta-analysis confirms, across different statistical approaches, that high-intensity treatment is a strong risk factor for inhibitor development. The possible role of FVIII type in subgroups is suggested by the test for interactions but could not be proven because of the limited subgroups sample sizes.

scholarly journals Survival Analysis of Hospitalized Elderly People with Fractures in Brazil Over One Year

Geriatrics ◽  
2020 ◽  
Vol 5 (1) ◽  
pp. 10
Author(s):  
Brenda Kelly Gonçalves Nunes ◽  
Brunna Rodrigues de Lima ◽  
Lara Cristina da Cunha Guimarães ◽  
Rafael Alves Guimarães ◽  
Claci Fátima Weirich Rosso ◽  
...  
Keyword(s):  
Elderly People ◽  
Cox Regression ◽  
Age Groups ◽  
The Elderly ◽  
Diabetic Patients ◽  
Related Factors ◽  
Hospitalized Elderly ◽  
Study Results ◽  
One Year ◽  
The Impact

Objective: This study analyzes the causes of death, survival, and other related factors in hospitalized elderly people with fractures over the course of one year. Methods: We followed 376 fracture patients for one year in a prospective cohort study to a reference hospital in central Brazil. The Cox regression model was used to analyze factors associated with survival. Results: The results indicate that the one-year mortality rate was high (22.9%). The independent factors linked to lower overall survival were as follows: patients aged ≥80 years with previous intensive care unit (ICU) admission and presence of comorbidities (diabetes mellitus [DM] and dementia). Conclusion: Our study results may contribute to a better understanding of the impact of fractures on the elderly population and reinforce the need to oversee age-groups, diabetic patients, and patients with complications during hospitalization.

Selective benefit of adjuvant chemoradiation in resectable pancreatic cancer.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 4122-4122 ◽  
Author(s):  
Jesse P Wright ◽  
Cameron Schlegel ◽  
Rebecca A Snyder ◽  
Liping Du ◽  
Yu Shyr ◽  
...  
Keyword(s):  
Cox Regression ◽  
Margin Status ◽  
Resectable Pancreatic Cancer ◽  
Adjuvant Chemoradiation ◽  
Related Factors ◽  
Large Hospital ◽  
Positive Margins ◽  
Kaplan Meier ◽  
Independent Effects ◽  
The Impact

4122 Background: Although level 1 data supports the use of adjuvant chemotherapy (ACT) in resected pancreatic adenocarcinoma (PDAC), the role of adjuvant chemoradiation (ACRT) remains controversial. The objective of this study is to investigate the impact of adding ACRT to ACT on overall survival (OS), based on lymph node (LN) and margin status. Methods: Resected AJCC Stage I and II PDAC patients from 2004-2013 identified within the National Cancer Database were classified into groups based on treatment: surgery alone (SX), ACT alone, ACT+ACRT, and ACRT only. Kaplan-Meier analyses were performed to determine median OS. Multivariable (MV) Cox regression models with interactions of treatment with LN and margin status were constructed to examine the independent effects of ACT and ACT+ACRT in these subgroups. Results: Of 31,348 patients, 30% were treated with SX, 30% with ACT, 38% with ACT+ACRT, and 2% with ACRT alone. Median OS (mos.) for ACT (22.5, 95% CI 21.9-23.1) and ACT+ACRT (23.7, 23.3-24.2) were significantly longer than SX (14, 13.4-14.5) or ACRT (11.2, 9.8-12.9). MV analysis confirmed a significant OS benefit of both ACT and ACT+ACRT controlling for patient and tumor related factors. ACRT+ACT was associated with improved OS compared to ACT in patients with positive margins and/or LN. Those with negative margins and LN did not benefit from the additional use of ACRT (Table). Conclusions: This large hospital-based study demonstrates that ACT and ACRT are associated with improved OS when compared to SX. The addition of ACRT to ACT, however, was only beneficial in high-risk patients with positive margins and/or LN. ACT+ACRT in patients with both margin and LN negative disease may not be warranted. Future clinical trials should stratify patients based on LN and margin status in order to determine which patients are most likely to benefit from the use of ACRT. [Table: see text]

Abstract 118: Physician Specific Practice Patterns and 30-day Heart Failure Readmission Rates: Is One Way Better Than the Other?

2017 ◽  
Vol 10 (suppl_3) ◽  
Author(s):  
Anish B Bhatt ◽  
Daniel Cheeran ◽  
Sandeep Das
Keyword(s):  
Heart Failure ◽  
Resource Utilization ◽  
Readmission Rate ◽  
Beta Blockers ◽  
Management Strategies ◽  
Beta Blockade ◽  
Diagnostic Code ◽  
Readmission Rates ◽  
Physician Practices ◽  
The Impact

Background: Heart failure (HF) admissions place a significant burden on hospital resource utilization. Management of inpatient HF remains heterogeneous, from daily diuresis to discharge strategies. We sought to evaluate if specific physician practices were associated with two important contributors to resource utilization, readmission and length of stay (LOS). Methods: Physician-specific discharges, LOS, and 30-day readmission rates from 7/1/2015-6/30/2016 were extracted from the EHR. Patients with “shock” as the primary diagnostic code were excluded. We created a survey to assess HF management strategies that was administered to all cardiologists and hospitalists at our institution; physicians were blinded to LOS and readmission data. Many factors potentially impacting LOS and discharge decisions were queried, including physical examination, medication use and kidney function. Results: We received 62 of 69 (90%) survey responses – 26 cardiologists and 36 hospitalists. Overall, 52% (32 of 62) were male with a median 7 years in practice [IQR 3-13]. We tracked HF utilization metrics in 58 physicians, encompassing 753 patient discharges in the preceding year. Total 30-day readmission rate was 17.0% (128 of 753). No significant differences were seen in discharge practices between readmission rate tertiles. Median of the median LOS was 4.7 days (IQR 4.0-5.8), and physicians above median LOS were compared to physicians below median LOS. Point estimates suggest physicians with lower median LOS targeted a daily net diuresis goal greater than 3L (40% vs 11% for those above median LOS, p = 0.1), and were less likely to hold beta blockers (17% vs 37%, p = 0.1) or to consider 24 hours of inpatient oral diuretics prior to discharge to be “very important” (16% vs 56%, p < 0.01). The pooled readmission rate of physicians below median LOS was not significantly different than those above median LOS (14.5% vs 16.2%, p = 0.6). Conclusions: We identified three specific HF management patterns that may be associated with lower LOS without a concomitant increase in 30-day readmission: (1) more aggressive daily diuresis, (2) continuation of beta blockade, and (3) not delaying discharge to observe 24 hours of an oral diuretic regimen. Further studies are warranted to confirm and quantify the impact of these changes on resource utilization.

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