Literature DB >> 31771947

HOSPITAL Score, LACE Index and LACE+ Index as predictors of 30-day readmission in patients with heart failure.

Abdisamad M Ibrahim1, Cameron Koester2, Mohammad Al-Akchar3, Nitin Tandan2, Manjari Regmi2, Mukul Bhattarai3, Basma Al-Bast2, Abhishek Kulkarni3, Robert Robinson2.   

Abstract

This study aimed to evaluate the accuracy of the HOSPITAL Score (Haemoglobin level at discharge, Oncology at discharge, Sodium level at discharge, Procedure during hospitalization, Index admission, number of hospital admissions, Length of stay) LACE index (Length of stay, Acute/emergent admission, Charlson comorbidy index score, Emerency department visits in previous 6 months) and LACE+ index in predicting 30-day readmission in patients with diastolic dysfunction. Heart failure remains one of the most common hospital readmissions in adults, leading to significant morbidity and mortality. Different models have been used to predict 30-day hospital readmissions. All adult medical patients discharged from the SIU School of Medicine Hospitalist service from 12 June 2016 to 12 June 2018 with an International Classification of Disease, 10th Revision, Clinical Modification diagnosis of diastolic heart failure were studied retrospectively to evaluate the performance of the HOSPITAL Score, LACE index and LACE+ index readmission risk prediction tools in this patient population. Of the 730 patient discharges with a diagnosis of heart failure with preserved ejection fraction (HFpEF), 692 discharges met the inclusion criteria. Of these discharges, 189 (27%) were readmitted to the same hospital within 30 days. A receiver operating characteristic evaluation showed C-statistic values to be 0.595 (95% CI 0.549 to 0.641) for the HOSPITAL Score, 0.551 (95% CI 0.503 to 0.598) for the LACE index and 0.568 (95% CI 0.522 to 0.615) for the LACE+ index, indicating poor specificity in predicting 30-day readmission. The result of this study demonstrates that the HOSPITAL Score, LACE index and LACE+ index are not effective predictors of 30-day readmission for patients with HFpEF. Further analysis and development of new prediction models are needed to better estimate the 30-day readmission rates in this patient population. © Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  HOSPITAL Score; LACE Index; LACE+ Index; heart failure readmission; readmission

Mesh:

Substances:

Year:  2019        PMID: 31771947     DOI: 10.1136/bmjebm-2019-111271

Source DB:  PubMed          Journal:  BMJ Evid Based Med        ISSN: 2515-446X


  11 in total

1.  Prediction value of the LACE index to identify older adults at high risk for all-cause mortality in South Korea: a nationwide population-based study.

Authors:  Eunbyul Cho; Sumi Lee; Woo Kyung Bae; Jae-Ryun Lee; Hyejin Lee
Journal:  BMC Geriatr       Date:  2022-02-24       Impact factor: 3.921

Review 2.  LACE Index to Predict the High Risk of 30-Day Readmission: A Systematic Review and Meta-Analysis.

Authors:  Vasuki Rajaguru; Whiejong Han; Tae Hyun Kim; Jaeyong Shin; Sang Gyu Lee
Journal:  J Pers Med       Date:  2022-03-30

3.  Barriers to Implementing an Artificial Intelligence Model for Unplanned Readmissions.

Authors:  Sally L Baxter; Jeremy S Bass; Amy M Sitapati
Journal:  ACI open       Date:  2020-07

4.  Prediction of hospital visits for the general inpatient care using floating catchment area methods: a reconceptualization of spatial accessibility.

Authors:  J Bauer; D Klingelhöfer; W Maier; L Schwettmann; D A Groneberg
Journal:  Int J Health Geogr       Date:  2020-07-27       Impact factor: 3.918

5.  Assess the Performance and Cost-Effectiveness of LACE and HOSPITAL Re-Admission Prediction Models as a Risk Management Tool for Home Care Patients: An Evaluation Study of a Medical Center Affiliated Home Care Unit in Taiwan.

Authors:  Mei-Chin Su; Yi-Jen Wang; Tzeng-Ji Chen; Shiao-Hui Chiu; Hsiao-Ting Chang; Mei-Shu Huang; Li-Hui Hu; Chu-Chuan Li; Su-Ju Yang; Jau-Ching Wu; Yu-Chun Chen
Journal:  Int J Environ Res Public Health       Date:  2020-02-02       Impact factor: 3.390

6.  The Promise for Reducing Healthcare Cost with Predictive Model: An Analysis with Quantized Evaluation Metric on Readmission.

Authors:  Kareen Teo; Ching Wai Yong; Farina Muhamad; Hamidreza Mohafez; Khairunnisa Hasikin; Kaijian Xia; Pengjiang Qian; Samiappan Dhanalakshmi; Nugraha Priya Utama; Khin Wee Lai
Journal:  J Healthc Eng       Date:  2021-11-02       Impact factor: 2.682

7.  External validation of EPIC's Risk of Unplanned Readmission model, the LACE+ index and SQLape as predictors of unplanned hospital readmissions: A monocentric, retrospective, diagnostic cohort study in Switzerland.

Authors:  Aljoscha Benjamin Hwang; Guido Schuepfer; Mario Pietrini; Stefan Boes
Journal:  PLoS One       Date:  2021-11-12       Impact factor: 3.240

8.  A Prospective Observational Study Assessing the Impacts of Health Literacy and Psychosocial Determinants of Health on 30-day Readmission Risk.

Authors:  Ojas A Deshpande; John A Tawfik; Aram A Namavar; KimNgan P Nguyen; Sitaram S Vangala; Tahmineh Romero; Neil N Parikh; Erin P Dowling
Journal:  J Patient Exp       Date:  2022-02-16

9.  Tailored risk assessment of 90-day acute heart failure readmission or all-cause death to heart failure with preserved versus reduced ejection fraction.

Authors:  Jaeyoung Park; Xiang Zhong; Farnaz Babaie Sarijaloo; Anita Wokhlu
Journal:  Clin Cardiol       Date:  2022-01-25       Impact factor: 3.287

10.  Ability of the LACE Index to Predict 30-Day Readmissions in Patients with Acute Myocardial Infarction.

Authors:  Vasuki Rajaguru; Tae Hyun Kim; Jaeyong Shin; Sang Gyu Lee; Whiejong Han
Journal:  J Pers Med       Date:  2022-06-30
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.