Dataset Information

Reasons for admission and predictors of national 30-day readmission rates in patients with end-stage renal disease on peritoneal dialysis.

ABSTRACT:

Background

The number of patients with end-stage renal disease (ESRD) on peritoneal dialysis (PD) has increased by over 30% between 2007 and 2014. The Centers for Medicare and Medicaid has identified readmissions in ESRD patients to be a quality measure; however, there is a paucity of studies examining readmissions in PD patients.

Methods

Utilizing the National Readmission Database for the year 2013, we aimed to determine reasons for admission, the associated rates of unplanned readmission and independent predictors of readmissions in PD patients.

Results

The top 10 reasons for initial hospitalization were implant/PD catheter complications (23.22%), hypertension (5.47%), septicemia (5.18%), diabetes mellitus (DM) (5.12%), complications of surgical procedures/medical care (3.50%), fluid and electrolyte disorders (4.29%), peritonitis (3.76%), congestive heart failure (3.25%), pneumonia (2.90%) and acute myocardial infarction (AMI) (2.01%). The overall 30-day readmission rate was 14.6%, with the highest rates for AMI (21.8%), complications of surgical procedure/medical care (19.6%) and DM (18.4%). Concordance among the top 10 reasons for index admission and readmission was 22.6% and varied by admission diagnosis. Independent predictors of readmissions included age 35-49 years compared with 18-34 years [adjusted odds ratio (aOR) 1.35; 95% confidence interval (CI) 1.09-1.68; P?=?0.006], female gender (aOR 1.27; 95% CI 1.12-1.44; P P?=?0.01), peripheral vascular disease (aOR 1.33; 95% CI 1.14-1.56; P?P?=?0.04).

Conclusions

This study demonstrates the most common reasons for admission and readmissions in PD patients and several comorbidities that are predictive of readmissions. Targeted interventions towards these patients may be of benefit in reducing readmission in this growing population.

SUBMITTER: Chan L

PROVIDER: S-EPMC5569698 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature

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Publications

Reasons for admission and predictors of national 30-day readmission rates in patients with end-stage renal disease on peritoneal dialysis.

Chan Lili L Poojary Priti P Saha Aparna A Chauhan Kinsuk K Ferrandino Rocco R Ferket Bart B Coca Steven S Nadkarni Girish G Uribarri Jaime J

Clinical kidney journal 20170315 4

<h4>Background</h4>The number of patients with end-stage renal disease (ESRD) on peritoneal dialysis (PD) has increased by over 30% between 2007 and 2014. The Centers for Medicare and Medicaid has identified readmissions in ESRD patients to be a quality measure; however, there is a paucity of studies examining readmissions in PD patients.<h4>Methods</h4>Utilizing the National Readmission Database for the year 2013, we aimed to determine reasons for admission, the associated rates of unplanned re ...[more]

PMID: 28852495

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Project description:BackgroundLowering hospital readmission rates has become a primary target for the Centers for Medicare & Medicaid Services, but studies of the relationship between adherence to the recommended hospital care processes and readmission rates have provided inconsistent and inconclusive results.ObjectiveTo examine the association between hospital performance on Medicare's Hospital Compare process quality measures and 30-day readmission rates for patients with acute myocardial infarction (AMI), heart failure and pneumonia, and for those undergoing major surgery.Design, setting and participantsWe assessed hospital performance on process measures using the 2007 Hospital Inpatient Quality Reporting Program. The process measures for each condition were aggregated in two separate measures: Overall Measure (OM) and Appropriate Care Measure (ACM) scores. Readmission rates were calculated using Medicare claims.Main outcome measureRisk-standardized 30-day all-cause readmission rate was calculated as the ratio of predicted to expected rate standardized by the overall mean readmission rate. We calculated predicted readmission rate using hierarchical generalized linear models and adjusting for patient-level factors.ResultsAmong patients aged ≥ 66 years, the median OM score ranged from 79.4 % for abdominal surgery to 95.7 % for AMI, and the median ACM scores ranged from 45.8 % for abdominal surgery to 87.9 % for AMI. We observed a statistically significant, but weak, correlation between performance scores and readmission rates for pneumonia (correlation coefficient R = 0.07), AMI (R = 0.10), and orthopedic surgery (R = 0.06). The difference in the mean readmission rate between hospitals in the 1st and 4th quartiles of process measure performance was statistically significant only for AMI (0.25 percentage points) and pneumonia (0.31 percentage points). Performance on process measures explained less than 1 % of hospital-level variation in readmission rates.ConclusionsHospitals with greater adherence to recommended care processes did not achieve meaningfully better 30-day hospital readmission rates compared to those with lower levels of performance.

Project description:BACKGROUND:Restrictive transfusion strategies supported by large randomized trials are resulting in decreased blood utilization in cardiac surgery. What remains to be determined, however, is the impact of lower discharge hemoglobin (Hb) levels on readmission rates. We assessed patients with higher versus lower Hb levels on discharge to compare 30-day readmission rates after coronary artery bypass grafting (CABG). METHODS:We retrospectively evaluated 1552 patients undergoing isolated CABG at our institution from January 2013 to May 2016. We evaluated 2 Hb cohorts: "high" (above) and "low" (below) the mean discharge Hb level of 9.4 g/dL, comparing patient characteristics, blood utilization, and clinical outcomes including 30-day readmission rates. We further evaluated the effects of the lowest (<8 g/dL) discharge Hb levels on 30-day readmission rates by dividing the patients into 4 anemia cohorts based on discharge Hb levels: "no anemia" (>12 g/dL), "mild anemia" (10-11.9 g/dL), "moderate anemia" (8-9.9 g/dL), and "severe anemia" (<8 g/dL). Risk adjustment accounted for age, sex, Charlson comorbidity index, preoperative comorbidities, revision sternotomy, and patient blood management program implementation. RESULTS:The "high" and "low" groups had similar patient characteristics except for Hb levels (mean discharge Hb was 10.4 ± 0.9 vs 8.5 ± 0.6 g/dL, respectively). Notably, no evidence for a difference in 30-day readmission rates was noted between the "high" (76/746; 10.2%) and "low" (97/806; 12.0%) (P = .25) Hb cohorts. The 4 anemia cohorts had differences in age, revision sternotomy incidence, Hb levels, certain patient comorbidities, and time to readmission. On multivariable analysis, the risk-adjusted odds of readmission in the "low" Hb cohort (odds ratio, 1.16; 95% confidence interval, 0.84-1.61; P = .36) was not significant compared to the "high" Hb cohort. Compared to patients with discharge Hb ?8 g/dL, patients with Hb <8 g/dL had a higher incidence of readmission (22/129; 17.1% vs 151/1423; 10.6%; P = .036). On multivariable analysis, Hb <8 g/dL on discharge was predictive of readmission (odds ratio, 1.77; 95% confidence interval, 1.05-2.88; P = .03). The most common reason for readmission was volume overload, followed by infection and arrhythmias. CONCLUSIONS:A discharge Hb level below the institution mean for CABG patients does not provide evidence for an association with an increased 30-day readmission rate. In the small number of patients discharged with Hb <8 g/dL, there is a suggestion of increased risk for readmission and larger more controlled studies are needed to verify or refute this finding.

Dataset Information

Reasons for admission and predictors of national 30-day readmission rates in patients with end-stage renal disease on peritoneal dialysis.

Background

Methods

Results

Conclusions

Publications

Reasons for admission and predictors of national 30-day readmission rates in patients with end-stage renal disease on peritoneal dialysis.

Similar Datasets

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