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Outcomes of prolonged mechanic ventilation: a discrimination model based on longitudinal health insurance and death certificate data
BACKGROUND: This study investigated prognosis among patients under prolonged mechanical ventilation (PMV) through exploring the following issues: (1) post-PMV survival rates, (2) factors associated with survival after PMV, and (3) the number of days alive free of hospital stays requiring mechanical...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3375202/ https://www.ncbi.nlm.nih.gov/pubmed/22531140 http://dx.doi.org/10.1186/1472-6963-12-100 |
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author | Lu, Hsin-Ming Chen, Likwang Wang, Jung-Der Hung, Mei-Chuan Lin, Ming-Shian Yan, Yuan-Horng Chen, Cheng-Ren Fan, Po-Sheng Huang, Lynn Chu Kuo, Ken N |
author_facet | Lu, Hsin-Ming Chen, Likwang Wang, Jung-Der Hung, Mei-Chuan Lin, Ming-Shian Yan, Yuan-Horng Chen, Cheng-Ren Fan, Po-Sheng Huang, Lynn Chu Kuo, Ken N |
author_sort | Lu, Hsin-Ming |
collection | PubMed |
description | BACKGROUND: This study investigated prognosis among patients under prolonged mechanical ventilation (PMV) through exploring the following issues: (1) post-PMV survival rates, (2) factors associated with survival after PMV, and (3) the number of days alive free of hospital stays requiring mechanical ventilation (MV) care after PMV. METHODS: This is a retrospective cohort study based on secondary analysis of prospectively collected data in the national health insurance system and governmental data on death registry in Taiwan. It used data for a nationally representative sample of 25,482 patients becoming under PMV (> = 21 days) during 1998-2003. We calculated survival rates for the 4 years after PMV, and adopted logistic regression to construct prediction models for 3-month, 6-month, 1-year, and 2-year survival, with data of 1998-2002 for model estimation and the 2003 data for examination of model performance. We estimated the number of days alive free of hospital stays requiring MV care in the immediate 4-year period after PMV, and contrasted patients who had low survival probability with all PMV patients. RESULTS: Among these patients, the 3-month survival rate was 51.4%, and the 1-year survival rate was 31.9%. Common health conditions with significant associations with poor survival included neoplasm, acute and unspecific renal failure, chronic renal failure, non-alcoholic liver disease, shock and septicaemia (odd ratio < 0.7, p < 0.05). During a 4-year follow-up period for patients of year 2003, the mean number of days free of hospital stays requiring MV was 66.0 in those with a predicted 6-month survival rate < 10%, and 111.3 in those with a predicted 2-year survival rate < 10%. In contrast, the mean number of days was 256.9 in the whole sample of patients in 2003. CONCLUSIONS: Neoplasm, acute and unspecific renal failure, shock, chronic renal failure, septicemia, and non-alcoholic liver disease are significantly associated with lower survival among PMV patients. Patients with anticipated death in a near future tend to spend most of the rest of their life staying in hospital using MV services. This calls for further research into assessing PMV care need among patients at different prognosis stages of diseases listed above. |
format | Online Article Text |
id | pubmed-3375202 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-33752022012-06-15 Outcomes of prolonged mechanic ventilation: a discrimination model based on longitudinal health insurance and death certificate data Lu, Hsin-Ming Chen, Likwang Wang, Jung-Der Hung, Mei-Chuan Lin, Ming-Shian Yan, Yuan-Horng Chen, Cheng-Ren Fan, Po-Sheng Huang, Lynn Chu Kuo, Ken N BMC Health Serv Res Research Article BACKGROUND: This study investigated prognosis among patients under prolonged mechanical ventilation (PMV) through exploring the following issues: (1) post-PMV survival rates, (2) factors associated with survival after PMV, and (3) the number of days alive free of hospital stays requiring mechanical ventilation (MV) care after PMV. METHODS: This is a retrospective cohort study based on secondary analysis of prospectively collected data in the national health insurance system and governmental data on death registry in Taiwan. It used data for a nationally representative sample of 25,482 patients becoming under PMV (> = 21 days) during 1998-2003. We calculated survival rates for the 4 years after PMV, and adopted logistic regression to construct prediction models for 3-month, 6-month, 1-year, and 2-year survival, with data of 1998-2002 for model estimation and the 2003 data for examination of model performance. We estimated the number of days alive free of hospital stays requiring MV care in the immediate 4-year period after PMV, and contrasted patients who had low survival probability with all PMV patients. RESULTS: Among these patients, the 3-month survival rate was 51.4%, and the 1-year survival rate was 31.9%. Common health conditions with significant associations with poor survival included neoplasm, acute and unspecific renal failure, chronic renal failure, non-alcoholic liver disease, shock and septicaemia (odd ratio < 0.7, p < 0.05). During a 4-year follow-up period for patients of year 2003, the mean number of days free of hospital stays requiring MV was 66.0 in those with a predicted 6-month survival rate < 10%, and 111.3 in those with a predicted 2-year survival rate < 10%. In contrast, the mean number of days was 256.9 in the whole sample of patients in 2003. CONCLUSIONS: Neoplasm, acute and unspecific renal failure, shock, chronic renal failure, septicemia, and non-alcoholic liver disease are significantly associated with lower survival among PMV patients. Patients with anticipated death in a near future tend to spend most of the rest of their life staying in hospital using MV services. This calls for further research into assessing PMV care need among patients at different prognosis stages of diseases listed above. BioMed Central 2012-04-25 /pmc/articles/PMC3375202/ /pubmed/22531140 http://dx.doi.org/10.1186/1472-6963-12-100 Text en Copyright ©2012 Lu et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Lu, Hsin-Ming Chen, Likwang Wang, Jung-Der Hung, Mei-Chuan Lin, Ming-Shian Yan, Yuan-Horng Chen, Cheng-Ren Fan, Po-Sheng Huang, Lynn Chu Kuo, Ken N Outcomes of prolonged mechanic ventilation: a discrimination model based on longitudinal health insurance and death certificate data |
title | Outcomes of prolonged mechanic ventilation: a discrimination model based on longitudinal health insurance and death certificate data |
title_full | Outcomes of prolonged mechanic ventilation: a discrimination model based on longitudinal health insurance and death certificate data |
title_fullStr | Outcomes of prolonged mechanic ventilation: a discrimination model based on longitudinal health insurance and death certificate data |
title_full_unstemmed | Outcomes of prolonged mechanic ventilation: a discrimination model based on longitudinal health insurance and death certificate data |
title_short | Outcomes of prolonged mechanic ventilation: a discrimination model based on longitudinal health insurance and death certificate data |
title_sort | outcomes of prolonged mechanic ventilation: a discrimination model based on longitudinal health insurance and death certificate data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3375202/ https://www.ncbi.nlm.nih.gov/pubmed/22531140 http://dx.doi.org/10.1186/1472-6963-12-100 |
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