↓ Skip to main content

Dove Medical Press

Performance of the LACE index to predict 30-day hospital readmissions in patients with chronic obstructive pulmonary disease

Overview of attention for article published in Clinical Epidemiology, December 2017
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
9 X users
video
1 YouTube creator

Citations

dimensions_citation
63 Dimensions

Readers on

mendeley
62 Mendeley
Title
Performance of the LACE index to predict 30-day hospital readmissions in patients with chronic obstructive pulmonary disease
Published in
Clinical Epidemiology, December 2017
DOI 10.2147/clep.s149574
Pubmed ID
Authors

Maryam A Hakim, Frances L Garden, Matthew D Jennings, Claudia C Dobler

Abstract

Patients hospitalized for acute exacerbation of chronic obstructive pulmonary disease (COPD) have a high 30-day hospital readmission rate, which has a large impact on the health care system and patients' quality of life. The use of a prediction model to quantify a patient's risk of readmission may assist in directing interventions to patients who will benefit most. The objective of this study was to calculate the rate of 30-day readmissions and evaluate the accuracy of the LACE index (length of stay, acuity of admission, co-morbidities, and emergency department visits within the last 6 months) for 30-day readmissions in a general hospital population of COPD patients. All patients admitted with a principal diagnosis of COPD to Liverpool Hospital, a tertiary hospital in Sydney, Australia, between 2006 and 2016 were included in the study. A LACE index score was calculated for each patient and assessed using receiver operator characteristic curves. During the study period, 2,662 patients had 5,979 hospitalizations for COPD. Four percent of patients died in hospital and 25% were readmitted within 30 days; 56% of all 30-day readmissions were again due to COPD. The most common reasons for readmission, following COPD, were heart failure, pneumonia, and chest pain. The LACE index had moderate discriminative ability to predict 30-day readmission (C-statistic =0.63). The 30-day hospital readmission rate was 25% following hospitalization for COPD in an Australian tertiary hospital and as such comparable to international published rates. The LACE index only had moderate discriminative ability to predict 30-day readmission in patients hospitalized for COPD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 16%
Student > Ph. D. Student 6 10%
Other 5 8%
Student > Bachelor 5 8%
Student > Master 5 8%
Other 13 21%
Unknown 18 29%
Readers by discipline Count As %
Medicine and Dentistry 13 21%
Nursing and Health Professions 5 8%
Computer Science 4 6%
Agricultural and Biological Sciences 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Other 9 15%
Unknown 25 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 August 2018.
All research outputs
#6,354,733
of 23,015,156 outputs
Outputs from Clinical Epidemiology
#246
of 727 outputs
Outputs of similar age
#125,864
of 437,946 outputs
Outputs of similar age from Clinical Epidemiology
#10
of 33 outputs
Altmetric has tracked 23,015,156 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 727 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 65% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 437,946 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.