Cargando…

Dynamic Changes in Prognosis with Elapsed Time on Ventilators among Mechanically Ventilated Patients

Rationale: Previous outcome studies of mechanical ventilation usually adopted a static timeframe to observe the outcome and reported prognosis from the standpoint of the first ventilator day. However, patients and their families may repeatedly inquire about prognosis over time after the initiation o...

Descripción completa

Detalles Bibliográficos
Autores principales: Ruan, Sheng-Yuan, Teng, Nai-Chi, Huang, Chun-Ta, Tsai, Shu-Ling, Wang, Cheng-Yi, Wu, Chin-Pyng, Hsu, Jeng-Yuan, Yu, Chong-Jen, Hsiung, Chao, Wu, Huey-Dong, Chen, Likwang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Thoracic Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7258420/
https://www.ncbi.nlm.nih.gov/pubmed/32011907
http://dx.doi.org/10.1513/AnnalsATS.201908-646OC
_version_ 1783540081434296320
author Ruan, Sheng-Yuan
Teng, Nai-Chi
Huang, Chun-Ta
Tsai, Shu-Ling
Wang, Cheng-Yi
Wu, Chin-Pyng
Hsu, Jeng-Yuan
Yu, Chong-Jen
Hsiung, Chao
Wu, Huey-Dong
Chen, Likwang
author_facet Ruan, Sheng-Yuan
Teng, Nai-Chi
Huang, Chun-Ta
Tsai, Shu-Ling
Wang, Cheng-Yi
Wu, Chin-Pyng
Hsu, Jeng-Yuan
Yu, Chong-Jen
Hsiung, Chao
Wu, Huey-Dong
Chen, Likwang
author_sort Ruan, Sheng-Yuan
collection PubMed
description Rationale: Previous outcome studies of mechanical ventilation usually adopted a static timeframe to observe the outcome and reported prognosis from the standpoint of the first ventilator day. However, patients and their families may repeatedly inquire about prognosis over time after the initiation of mechanical ventilation. Objectives: We aimed to describe dynamic changes in prognosis according to the elapsed time on a ventilator among mechanically ventilated patients. Methods: For this cohort study we used the entire population dataset of Taiwan’s National Health Insurance database. We enrolled adults who newly received invasive mechanical ventilation for at least two consecutive days between March 1, 2010, and August 31, 2011. For every single ventilator day after the initiation of mechanical ventilation, we estimated the cumulative probabilities of weaning success and death in the subsequent 90 days. Results: A total of 162,200 episodes of respiratory failure requiring invasive mechanical ventilation were included. The median age of the subjects was 72 years (interquartile range 57–81 yr) and the median follow-up time was 250 days (interquartile range 30–463 d). The probability curve of weaning success against the time on ventilation showed a unidirectionally decreasing trend, with a relatively sharp slope in the initial 2 months. The probabilities of weaning success in 90 days after the 2nd, 7th, 21st, and 60th ventilator days were 68.3% (95% confidence interval [CI], 68.1–68.5%), 62.6% (95% CI, 62.2–62.9%), 46.3% (95% CI, 45.8–46.8%), and 21.0% (95% CI, 20.3–21.8%), respectively. In contrast, the death curve showed an initial increase and then a decreasing trend after the 19th ventilator day. We also reported tailored prognosis information according to the age, sex, and ventilator day of a mechanically ventilated patient. Conclusions: This study provides ventilator-day–specific prognosis information obtained from a large cohort of unselected patients on invasive mechanical ventilation. The probability of weaning success decreased with the elapsed time on mechanical ventilation, and the decline was particularly remarkable in the first 2 months of ventilatory support.
format Online
Article
Text
id pubmed-7258420
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher American Thoracic Society
record_format MEDLINE/PubMed
spelling pubmed-72584202020-06-01 Dynamic Changes in Prognosis with Elapsed Time on Ventilators among Mechanically Ventilated Patients Ruan, Sheng-Yuan Teng, Nai-Chi Huang, Chun-Ta Tsai, Shu-Ling Wang, Cheng-Yi Wu, Chin-Pyng Hsu, Jeng-Yuan Yu, Chong-Jen Hsiung, Chao Wu, Huey-Dong Chen, Likwang Ann Am Thorac Soc Original Research Rationale: Previous outcome studies of mechanical ventilation usually adopted a static timeframe to observe the outcome and reported prognosis from the standpoint of the first ventilator day. However, patients and their families may repeatedly inquire about prognosis over time after the initiation of mechanical ventilation. Objectives: We aimed to describe dynamic changes in prognosis according to the elapsed time on a ventilator among mechanically ventilated patients. Methods: For this cohort study we used the entire population dataset of Taiwan’s National Health Insurance database. We enrolled adults who newly received invasive mechanical ventilation for at least two consecutive days between March 1, 2010, and August 31, 2011. For every single ventilator day after the initiation of mechanical ventilation, we estimated the cumulative probabilities of weaning success and death in the subsequent 90 days. Results: A total of 162,200 episodes of respiratory failure requiring invasive mechanical ventilation were included. The median age of the subjects was 72 years (interquartile range 57–81 yr) and the median follow-up time was 250 days (interquartile range 30–463 d). The probability curve of weaning success against the time on ventilation showed a unidirectionally decreasing trend, with a relatively sharp slope in the initial 2 months. The probabilities of weaning success in 90 days after the 2nd, 7th, 21st, and 60th ventilator days were 68.3% (95% confidence interval [CI], 68.1–68.5%), 62.6% (95% CI, 62.2–62.9%), 46.3% (95% CI, 45.8–46.8%), and 21.0% (95% CI, 20.3–21.8%), respectively. In contrast, the death curve showed an initial increase and then a decreasing trend after the 19th ventilator day. We also reported tailored prognosis information according to the age, sex, and ventilator day of a mechanically ventilated patient. Conclusions: This study provides ventilator-day–specific prognosis information obtained from a large cohort of unselected patients on invasive mechanical ventilation. The probability of weaning success decreased with the elapsed time on mechanical ventilation, and the decline was particularly remarkable in the first 2 months of ventilatory support. American Thoracic Society 2020-06 /pmc/articles/PMC7258420/ /pubmed/32011907 http://dx.doi.org/10.1513/AnnalsATS.201908-646OC Text en Copyright © 2020 by the American Thoracic Society http://creativecommons.org/licenses/by-nc-nd/4.0/ This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License 4.0 (http://creativecommons.org/licenses/by-nc-nd/4.0/). For commercial usage and reprints please contact Diane Gern (dgern@thoracic.org).
spellingShingle Original Research
Ruan, Sheng-Yuan
Teng, Nai-Chi
Huang, Chun-Ta
Tsai, Shu-Ling
Wang, Cheng-Yi
Wu, Chin-Pyng
Hsu, Jeng-Yuan
Yu, Chong-Jen
Hsiung, Chao
Wu, Huey-Dong
Chen, Likwang
Dynamic Changes in Prognosis with Elapsed Time on Ventilators among Mechanically Ventilated Patients
title Dynamic Changes in Prognosis with Elapsed Time on Ventilators among Mechanically Ventilated Patients
title_full Dynamic Changes in Prognosis with Elapsed Time on Ventilators among Mechanically Ventilated Patients
title_fullStr Dynamic Changes in Prognosis with Elapsed Time on Ventilators among Mechanically Ventilated Patients
title_full_unstemmed Dynamic Changes in Prognosis with Elapsed Time on Ventilators among Mechanically Ventilated Patients
title_short Dynamic Changes in Prognosis with Elapsed Time on Ventilators among Mechanically Ventilated Patients
title_sort dynamic changes in prognosis with elapsed time on ventilators among mechanically ventilated patients
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7258420/
https://www.ncbi.nlm.nih.gov/pubmed/32011907
http://dx.doi.org/10.1513/AnnalsATS.201908-646OC
work_keys_str_mv AT ruanshengyuan dynamicchangesinprognosiswithelapsedtimeonventilatorsamongmechanicallyventilatedpatients
AT tengnaichi dynamicchangesinprognosiswithelapsedtimeonventilatorsamongmechanicallyventilatedpatients
AT huangchunta dynamicchangesinprognosiswithelapsedtimeonventilatorsamongmechanicallyventilatedpatients
AT tsaishuling dynamicchangesinprognosiswithelapsedtimeonventilatorsamongmechanicallyventilatedpatients
AT wangchengyi dynamicchangesinprognosiswithelapsedtimeonventilatorsamongmechanicallyventilatedpatients
AT wuchinpyng dynamicchangesinprognosiswithelapsedtimeonventilatorsamongmechanicallyventilatedpatients
AT hsujengyuan dynamicchangesinprognosiswithelapsedtimeonventilatorsamongmechanicallyventilatedpatients
AT yuchongjen dynamicchangesinprognosiswithelapsedtimeonventilatorsamongmechanicallyventilatedpatients
AT hsiungchao dynamicchangesinprognosiswithelapsedtimeonventilatorsamongmechanicallyventilatedpatients
AT wuhueydong dynamicchangesinprognosiswithelapsedtimeonventilatorsamongmechanicallyventilatedpatients
AT chenlikwang dynamicchangesinprognosiswithelapsedtimeonventilatorsamongmechanicallyventilatedpatients