Cargando…

Predicting Mortality and Life Expectancy in Patients under Prolonged Mechanical Ventilation and Maintenance Dialysis

Background: The number of patients receiving prolonged mechanical ventilation (PMV) or maintenance dialysis (MD) is increasing worldwide. Identification of those with a short life expectancy is useful for early referral of palliative care. Objective: To determine the survival rate, life expectancy,...

Descripción completa

Detalles Bibliográficos
Autores principales: Jang, Chang-Sheng, Wang, Jung-Der
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc., publishers 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6931911/
https://www.ncbi.nlm.nih.gov/pubmed/31347942
http://dx.doi.org/10.1089/jpm.2018.0646
_version_ 1783483065912262656
author Jang, Chang-Sheng
Wang, Jung-Der
author_facet Jang, Chang-Sheng
Wang, Jung-Der
author_sort Jang, Chang-Sheng
collection PubMed
description Background: The number of patients receiving prolonged mechanical ventilation (PMV) or maintenance dialysis (MD) is increasing worldwide. Identification of those with a short life expectancy is useful for early referral of palliative care. Objective: To determine the survival rate, life expectancy, and major prognostic factors in patients under both PMV and MD. Design: We extracted a 1:3.4 random sample of patients treated with mechanical ventilation (MV) from the National Health Insurance (NHI) Research Database of Taiwan from 2003 to 2007. Subjects who had undergone MD and received MV for longer than 21 days were enrolled. Setting/Subjects: There were 1035 patients who received both PMV and MD. Measurements: The survival rates and life expectancy were estimated. A multivariate proportional hazards model was constructed to validate the effects of different prognostic factors, including age, gender, hospital size, and major comorbidities. Results: The median length of survival of patients under both PMV and MD was 54 days. The three-month, six-month, and one-year survival rates were 40.8%, 24.1%, and 12.6%, respectively. The life expectancies of those older than 70 years were five months; those comorbid with cancer and septicemia were 112 and 90 days, respectively. After adjustments for covariates, we found following prognostic factors were statistically significant: gangrene, peritonitis, liver cirrhosis, cancer, septicemia, hydrocephalus, having device complications, and shock. Conclusions: More than 85% of patients receiving both PMV and MD died within one year. Communication and early referral for palliative care would be indicated for those comorbid with significant prognostic factors.
format Online
Article
Text
id pubmed-6931911
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Mary Ann Liebert, Inc., publishers
record_format MEDLINE/PubMed
spelling pubmed-69319112020-02-10 Predicting Mortality and Life Expectancy in Patients under Prolonged Mechanical Ventilation and Maintenance Dialysis Jang, Chang-Sheng Wang, Jung-Der J Palliat Med Original Articles Background: The number of patients receiving prolonged mechanical ventilation (PMV) or maintenance dialysis (MD) is increasing worldwide. Identification of those with a short life expectancy is useful for early referral of palliative care. Objective: To determine the survival rate, life expectancy, and major prognostic factors in patients under both PMV and MD. Design: We extracted a 1:3.4 random sample of patients treated with mechanical ventilation (MV) from the National Health Insurance (NHI) Research Database of Taiwan from 2003 to 2007. Subjects who had undergone MD and received MV for longer than 21 days were enrolled. Setting/Subjects: There were 1035 patients who received both PMV and MD. Measurements: The survival rates and life expectancy were estimated. A multivariate proportional hazards model was constructed to validate the effects of different prognostic factors, including age, gender, hospital size, and major comorbidities. Results: The median length of survival of patients under both PMV and MD was 54 days. The three-month, six-month, and one-year survival rates were 40.8%, 24.1%, and 12.6%, respectively. The life expectancies of those older than 70 years were five months; those comorbid with cancer and septicemia were 112 and 90 days, respectively. After adjustments for covariates, we found following prognostic factors were statistically significant: gangrene, peritonitis, liver cirrhosis, cancer, septicemia, hydrocephalus, having device complications, and shock. Conclusions: More than 85% of patients receiving both PMV and MD died within one year. Communication and early referral for palliative care would be indicated for those comorbid with significant prognostic factors. Mary Ann Liebert, Inc., publishers 2020-01-01 2019-12-23 /pmc/articles/PMC6931911/ /pubmed/31347942 http://dx.doi.org/10.1089/jpm.2018.0646 Text en © Chang-Sheng Jang and Jung-Der Wang, 2019; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Original Articles
Jang, Chang-Sheng
Wang, Jung-Der
Predicting Mortality and Life Expectancy in Patients under Prolonged Mechanical Ventilation and Maintenance Dialysis
title Predicting Mortality and Life Expectancy in Patients under Prolonged Mechanical Ventilation and Maintenance Dialysis
title_full Predicting Mortality and Life Expectancy in Patients under Prolonged Mechanical Ventilation and Maintenance Dialysis
title_fullStr Predicting Mortality and Life Expectancy in Patients under Prolonged Mechanical Ventilation and Maintenance Dialysis
title_full_unstemmed Predicting Mortality and Life Expectancy in Patients under Prolonged Mechanical Ventilation and Maintenance Dialysis
title_short Predicting Mortality and Life Expectancy in Patients under Prolonged Mechanical Ventilation and Maintenance Dialysis
title_sort predicting mortality and life expectancy in patients under prolonged mechanical ventilation and maintenance dialysis
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6931911/
https://www.ncbi.nlm.nih.gov/pubmed/31347942
http://dx.doi.org/10.1089/jpm.2018.0646
work_keys_str_mv AT jangchangsheng predictingmortalityandlifeexpectancyinpatientsunderprolongedmechanicalventilationandmaintenancedialysis
AT wangjungder predictingmortalityandlifeexpectancyinpatientsunderprolongedmechanicalventilationandmaintenancedialysis