Factors Associated With Initiation of Mechanical Ventilation in Patients With Sepsis: Retrospective Observational Study.


Journal

American journal of critical care : an official publication, American Association of Critical-Care Nurses
ISSN: 1937-710X
Titre abrégé: Am J Crit Care
Pays: United States
ID NLM: 9211547

Informations de publication

Date de publication:
01 09 2023
Historique:
pmc-release: 01 09 2024
medline: 4 9 2023
pubmed: 1 9 2023
entrez: 31 8 2023
Statut: ppublish

Résumé

Patients with sepsis are at risk for mechanical ventilation. This study aimed to identify risk factors for initiation of mechanical ventilation in patients with sepsis and assess whether these factors varied with time. Data from the electronic health record were used to model risk factors for initiation of mechanical ventilation after the onset of sepsis. A time-varying Cox model was used to study factors that varied with time. Of 35 020 patients who met sepsis criteria, 28 747 were eligible for inclusion. Mechanical ventilation was initiated within 30 days after sepsis onset in 3891 patients (13.5%). Factors that were independently associated with increased likelihood of receipt of mechanical ventilation were race (White: adjusted hazard ratio [HR], 1.59; 95% CI, 1.39-1.83; other/unknown: adjusted HR, 1.97; 95% CI, 1.54-2.52), systemic inflammatory response syndrome (adjusted HR [per point], 1.23; 95% CI, 1.17-1.28), Sequential Organ Failure Assessment score (adjusted HR [per point], 1.28; 95% CI, 1.26-1.31), and congestive heart failure (adjusted HR, 1.30; 95% CI, 1.17-1.45). Hazard ratios decreased with time for Sequential Organ Failure Assessment score and congestive heart failure and varied with time for 4 comorbidities and 3 culture results. The risk for mechanical ventilation associated with different factors varied with time after sepsis onset, increasing for some factors and decreasing for others. Through a better understanding of risk factors for initiation of mechanical ventilation in patients with sepsis, targeted interventions may be tailored to high-risk patients.

Sections du résumé

BACKGROUND
Patients with sepsis are at risk for mechanical ventilation. This study aimed to identify risk factors for initiation of mechanical ventilation in patients with sepsis and assess whether these factors varied with time.
METHODS
Data from the electronic health record were used to model risk factors for initiation of mechanical ventilation after the onset of sepsis. A time-varying Cox model was used to study factors that varied with time.
RESULTS
Of 35 020 patients who met sepsis criteria, 28 747 were eligible for inclusion. Mechanical ventilation was initiated within 30 days after sepsis onset in 3891 patients (13.5%). Factors that were independently associated with increased likelihood of receipt of mechanical ventilation were race (White: adjusted hazard ratio [HR], 1.59; 95% CI, 1.39-1.83; other/unknown: adjusted HR, 1.97; 95% CI, 1.54-2.52), systemic inflammatory response syndrome (adjusted HR [per point], 1.23; 95% CI, 1.17-1.28), Sequential Organ Failure Assessment score (adjusted HR [per point], 1.28; 95% CI, 1.26-1.31), and congestive heart failure (adjusted HR, 1.30; 95% CI, 1.17-1.45). Hazard ratios decreased with time for Sequential Organ Failure Assessment score and congestive heart failure and varied with time for 4 comorbidities and 3 culture results.
CONCLUSIONS
The risk for mechanical ventilation associated with different factors varied with time after sepsis onset, increasing for some factors and decreasing for others. Through a better understanding of risk factors for initiation of mechanical ventilation in patients with sepsis, targeted interventions may be tailored to high-risk patients.

Identifiants

pubmed: 37652887
pii: 32171
doi: 10.4037/ajcc2023299
pmc: PMC10577809
mid: NIHMS1935513
doi:

Types de publication

Observational Study Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

358-367

Subventions

Organisme : NHLBI NIH HHS
ID : K23 HL148640
Pays : United States

Informations de copyright

©2023 American Association of Critical-Care Nurses.

Références

BMC Med. 2015 Apr 03;13:71
pubmed: 25885654
J Community Hosp Intern Med Perspect. 2018 Apr 17;8(2):49-52
pubmed: 29686786
JAMA. 2017 Jan 17;317(3):290-300
pubmed: 28114553
J Crit Care. 2017 Oct;41:191-193
pubmed: 28575814
Crit Care Med. 2009 May;37(5):1649-54
pubmed: 19325482
BMC Med Res Methodol. 2013 Jul 09;13:88
pubmed: 23834739
Intensive Care Med. 2017 Mar;43(3):304-377
pubmed: 28101605
Crit Care. 2011;15(6):236
pubmed: 22146601
Curr Opin Crit Care. 2014 Dec;20(6):681-4
pubmed: 25340379
Crit Care Med. 2001 Jul;29(7):1303-10
pubmed: 11445675
JAMA. 2016 Feb 23;315(8):801-10
pubmed: 26903338
Biometrics. 2012 Jun;68(2):419-28
pubmed: 22506825
Crit Care Med. 2017 May;45(5):835-842
pubmed: 28288027
BMJ. 2015 Jan 07;350:g7594
pubmed: 25569120
BMC Med Res Methodol. 2009 Jul 28;9:57
pubmed: 19638200
JAMA. 2016 Feb 23;315(8):788-800
pubmed: 26903337
Cardiovasc Hematol Disord Drug Targets. 2015;15(1):10-8
pubmed: 25567339
Chest. 1995 Aug;108(2 Suppl):17S-25S
pubmed: 7634922
Int J Methods Psychiatr Res. 2011 Mar;20(1):40-9
pubmed: 21499542
Crit Care. 2016 Apr 28;20(1):109
pubmed: 27121707
Crit Care. 2012 Oct 04;16(5):R181
pubmed: 23036135
Anesth Analg. 2018 Jul;127(1):55-62
pubmed: 29324497
BMC Pulm Med. 2017 Nov 17;17(1):142
pubmed: 29149868
Crit Care. 2014 Dec 08;18(6):674
pubmed: 25482125
Infect Dis Clin North Am. 2009 Sep;23(3):485-501
pubmed: 19665079
Br J Anaesth. 2011 Dec;107(6):998-1004
pubmed: 21908497
Med Care. 1998 Jan;36(1):8-27
pubmed: 9431328
Curr Opin Crit Care. 2014 Feb;20(1):3-9
pubmed: 24309954
BMC Nephrol. 2016 Aug 02;17(1):109
pubmed: 27484681
Cardiovasc Hematol Disord Drug Targets. 2015;15(1):41-5
pubmed: 25567337

Auteurs

Robert E Freundlich (RE)

Robert E. Freundlich is an associate professor, Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee.

Gen Li (G)

Gen Li is a senior statistical analyst, Department of Anesthesiology, Vanderbilt University Medical Center.

Aleda Leis (A)

Aleda Leis is a research investigator, Department of Epidemiology, University of Michigan, Ann Arbor.

Milo Engoren (M)

Milo Engoren is a professor, Department of Anesthesiology, University of Michigan.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH