Cargando…

Contribution of the long-term care insurance certificate for predicting 1-year all-cause readmission compared with validated risk scores in elderly patients with heart failure

OBJECTIVES: Readmission is a common and serious problem associated with heart failure (HF). Unfortunately, conventional risk models have limited predictive value for predicting readmission. The recipients of long-term care insurance (LTCI) are frail and have mental and physical impairments. We hypot...

Descripción completa

Detalles Bibliográficos
Autores principales: Takahashi, Kayo, Saito, Makoto, Inaba, Shinji, Morofuji, Toru, Aisu, Hiroe, Sumimoto, Takumi, Ogimoto, Akiyoshi, Ikeda, Shuntaro, Higaki, Jitsuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5133414/
https://www.ncbi.nlm.nih.gov/pubmed/27933194
http://dx.doi.org/10.1136/openhrt-2016-000501
_version_ 1782471257274449920
author Takahashi, Kayo
Saito, Makoto
Inaba, Shinji
Morofuji, Toru
Aisu, Hiroe
Sumimoto, Takumi
Ogimoto, Akiyoshi
Ikeda, Shuntaro
Higaki, Jitsuo
author_facet Takahashi, Kayo
Saito, Makoto
Inaba, Shinji
Morofuji, Toru
Aisu, Hiroe
Sumimoto, Takumi
Ogimoto, Akiyoshi
Ikeda, Shuntaro
Higaki, Jitsuo
author_sort Takahashi, Kayo
collection PubMed
description OBJECTIVES: Readmission is a common and serious problem associated with heart failure (HF). Unfortunately, conventional risk models have limited predictive value for predicting readmission. The recipients of long-term care insurance (LTCI) are frail and have mental and physical impairments. We hypothesised that adjustment of the conventional risk score with an LTCI certificate enables a more accurate appreciation of readmission for HF. METHODS: We investigated 452 patients with HF who were followed up for 1 year to determine all-cause readmission. We obtained their clinical and socioeconomic data, including LTCI. The three clinical risk scores used in our evaluation were Keenan (2008), Krumholz (2000) and Charlson (1994). We used net reclassification improvement (NRI) to assess the incremental benefit. RESULTS: Patients with LTCI were significantly older, and had a higher prevalence of cerebrovascular disease and dementia than those without LTCI. One-year all-cause readmission (n=193, 43%) was significantly associated with all risk scores, receiving LTCI and the category of LTCI. Receiving LTCI was associated with readmission independent of all risk scores (HR, 1.59 to 1.63; all p<0.01). Adding LTCI to all risk scores led to a significantly improved reclassification, which was observed in the subgroup of patients with HF with preserved ejection fraction (≥50%) but not in the subgroup with reduced ejection fraction (<50%). CONCLUSIONS: Possession of an LTCI certificate was independently associated with 1-year all-cause readmission after adjusting for validated clinical risk scores in patients with HF. Adding LTCI status significantly improved the model performance for readmission risk, particularly in patients with HF and preserved ejection fraction.
format Online
Article
Text
id pubmed-5133414
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-51334142016-12-08 Contribution of the long-term care insurance certificate for predicting 1-year all-cause readmission compared with validated risk scores in elderly patients with heart failure Takahashi, Kayo Saito, Makoto Inaba, Shinji Morofuji, Toru Aisu, Hiroe Sumimoto, Takumi Ogimoto, Akiyoshi Ikeda, Shuntaro Higaki, Jitsuo Open Heart Cardiac Risk Factors and Prevention OBJECTIVES: Readmission is a common and serious problem associated with heart failure (HF). Unfortunately, conventional risk models have limited predictive value for predicting readmission. The recipients of long-term care insurance (LTCI) are frail and have mental and physical impairments. We hypothesised that adjustment of the conventional risk score with an LTCI certificate enables a more accurate appreciation of readmission for HF. METHODS: We investigated 452 patients with HF who were followed up for 1 year to determine all-cause readmission. We obtained their clinical and socioeconomic data, including LTCI. The three clinical risk scores used in our evaluation were Keenan (2008), Krumholz (2000) and Charlson (1994). We used net reclassification improvement (NRI) to assess the incremental benefit. RESULTS: Patients with LTCI were significantly older, and had a higher prevalence of cerebrovascular disease and dementia than those without LTCI. One-year all-cause readmission (n=193, 43%) was significantly associated with all risk scores, receiving LTCI and the category of LTCI. Receiving LTCI was associated with readmission independent of all risk scores (HR, 1.59 to 1.63; all p<0.01). Adding LTCI to all risk scores led to a significantly improved reclassification, which was observed in the subgroup of patients with HF with preserved ejection fraction (≥50%) but not in the subgroup with reduced ejection fraction (<50%). CONCLUSIONS: Possession of an LTCI certificate was independently associated with 1-year all-cause readmission after adjusting for validated clinical risk scores in patients with HF. Adding LTCI status significantly improved the model performance for readmission risk, particularly in patients with HF and preserved ejection fraction. BMJ Publishing Group 2016-11-30 /pmc/articles/PMC5133414/ /pubmed/27933194 http://dx.doi.org/10.1136/openhrt-2016-000501 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Cardiac Risk Factors and Prevention
Takahashi, Kayo
Saito, Makoto
Inaba, Shinji
Morofuji, Toru
Aisu, Hiroe
Sumimoto, Takumi
Ogimoto, Akiyoshi
Ikeda, Shuntaro
Higaki, Jitsuo
Contribution of the long-term care insurance certificate for predicting 1-year all-cause readmission compared with validated risk scores in elderly patients with heart failure
title Contribution of the long-term care insurance certificate for predicting 1-year all-cause readmission compared with validated risk scores in elderly patients with heart failure
title_full Contribution of the long-term care insurance certificate for predicting 1-year all-cause readmission compared with validated risk scores in elderly patients with heart failure
title_fullStr Contribution of the long-term care insurance certificate for predicting 1-year all-cause readmission compared with validated risk scores in elderly patients with heart failure
title_full_unstemmed Contribution of the long-term care insurance certificate for predicting 1-year all-cause readmission compared with validated risk scores in elderly patients with heart failure
title_short Contribution of the long-term care insurance certificate for predicting 1-year all-cause readmission compared with validated risk scores in elderly patients with heart failure
title_sort contribution of the long-term care insurance certificate for predicting 1-year all-cause readmission compared with validated risk scores in elderly patients with heart failure
topic Cardiac Risk Factors and Prevention
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5133414/
https://www.ncbi.nlm.nih.gov/pubmed/27933194
http://dx.doi.org/10.1136/openhrt-2016-000501
work_keys_str_mv AT takahashikayo contributionofthelongtermcareinsurancecertificateforpredicting1yearallcausereadmissioncomparedwithvalidatedriskscoresinelderlypatientswithheartfailure
AT saitomakoto contributionofthelongtermcareinsurancecertificateforpredicting1yearallcausereadmissioncomparedwithvalidatedriskscoresinelderlypatientswithheartfailure
AT inabashinji contributionofthelongtermcareinsurancecertificateforpredicting1yearallcausereadmissioncomparedwithvalidatedriskscoresinelderlypatientswithheartfailure
AT morofujitoru contributionofthelongtermcareinsurancecertificateforpredicting1yearallcausereadmissioncomparedwithvalidatedriskscoresinelderlypatientswithheartfailure
AT aisuhiroe contributionofthelongtermcareinsurancecertificateforpredicting1yearallcausereadmissioncomparedwithvalidatedriskscoresinelderlypatientswithheartfailure
AT sumimototakumi contributionofthelongtermcareinsurancecertificateforpredicting1yearallcausereadmissioncomparedwithvalidatedriskscoresinelderlypatientswithheartfailure
AT ogimotoakiyoshi contributionofthelongtermcareinsurancecertificateforpredicting1yearallcausereadmissioncomparedwithvalidatedriskscoresinelderlypatientswithheartfailure
AT ikedashuntaro contributionofthelongtermcareinsurancecertificateforpredicting1yearallcausereadmissioncomparedwithvalidatedriskscoresinelderlypatientswithheartfailure
AT higakijitsuo contributionofthelongtermcareinsurancecertificateforpredicting1yearallcausereadmissioncomparedwithvalidatedriskscoresinelderlypatientswithheartfailure