Are there specific clinical characteristics associated with physician's treatment choices in COPD?
Administration, Inhalation
Adrenal Cortex Hormones
/ administration & dosage
Adrenergic beta-Agonists
/ administration & dosage
Aged
Bronchodilator Agents
/ administration & dosage
Clinical Decision-Making
Cohort Studies
Combined Modality Therapy
Female
Forced Expiratory Volume
Guidelines as Topic
Humans
Male
Middle Aged
Muscarinic Antagonists
/ administration & dosage
Patient Selection
Physicians
Pulmonary Disease, Chronic Obstructive
/ diagnosis
Respiratory Function Tests
Sex Factors
COPD
Clinical impact
Exacerbations
Treatment
Journal
Respiratory research
ISSN: 1465-993X
Titre abrégé: Respir Res
Pays: England
ID NLM: 101090633
Informations de publication
Date de publication:
20 Aug 2019
20 Aug 2019
Historique:
received:
06
04
2019
accepted:
05
08
2019
entrez:
21
8
2019
pubmed:
21
8
2019
medline:
8
2
2020
Statut:
epublish
Résumé
The number of pharmacological agents and guidelines available for COPD has increased markedly but guidelines remain poorly followed. Understanding underlying clinical reasoning is challenging and could be informed by clinical characteristics associated with treatment prescriptions. To determine whether COPD treatment choices by respiratory physicians correspond to specific patients' features, this study was performed in 1171 patients who had complete treatment and clinical characterisation data. Multiple statistical models were applied to explain five treatment categories: A: no COPD treatment or short-acting bronchodilator(s) only; B: one long-acting bronchodilator (beta2 agonist, LABA or anticholinergic agent, LAMA); C: LABA+LAMA; D: a LABA or LAMA + inhaled corticosteroid (ICS); E: triple therapy (LABA+LAMA+ICS). Mean FEV1 was 60% predicted. Triple therapy was prescribed to 32.9% (treatment category E) of patients and 29.8% received a combination of two treatments (treatment categories C or D); ICS-containing regimen were present for 44% of patients altogether. Single or dual bronchodilation were less frequently used (treatment categories B and C: 19% each). While lung function was associated with all treatment decisions, exacerbation history, scores of clinical impact and gender were associated with the prescription of > 1 maintenance treatment. Statistical models could predict treatment decisions with a < 35% error rate. In COPD, contrary to what has been previously reported in some studies, treatment choices by respiratory physicians appear rather rational since they can be largely explained by the patients' characteristics proposed to guide them in most recommendations.
Sections du résumé
BACKGROUND
BACKGROUND
The number of pharmacological agents and guidelines available for COPD has increased markedly but guidelines remain poorly followed. Understanding underlying clinical reasoning is challenging and could be informed by clinical characteristics associated with treatment prescriptions.
METHODS
METHODS
To determine whether COPD treatment choices by respiratory physicians correspond to specific patients' features, this study was performed in 1171 patients who had complete treatment and clinical characterisation data. Multiple statistical models were applied to explain five treatment categories: A: no COPD treatment or short-acting bronchodilator(s) only; B: one long-acting bronchodilator (beta2 agonist, LABA or anticholinergic agent, LAMA); C: LABA+LAMA; D: a LABA or LAMA + inhaled corticosteroid (ICS); E: triple therapy (LABA+LAMA+ICS).
RESULTS
RESULTS
Mean FEV1 was 60% predicted. Triple therapy was prescribed to 32.9% (treatment category E) of patients and 29.8% received a combination of two treatments (treatment categories C or D); ICS-containing regimen were present for 44% of patients altogether. Single or dual bronchodilation were less frequently used (treatment categories B and C: 19% each). While lung function was associated with all treatment decisions, exacerbation history, scores of clinical impact and gender were associated with the prescription of > 1 maintenance treatment. Statistical models could predict treatment decisions with a < 35% error rate.
CONCLUSION
CONCLUSIONS
In COPD, contrary to what has been previously reported in some studies, treatment choices by respiratory physicians appear rather rational since they can be largely explained by the patients' characteristics proposed to guide them in most recommendations.
Identifiants
pubmed: 31429756
doi: 10.1186/s12931-019-1156-1
pii: 10.1186/s12931-019-1156-1
pmc: PMC6701115
doi:
Substances chimiques
Adrenal Cortex Hormones
0
Adrenergic beta-Agonists
0
Bronchodilator Agents
0
Muscarinic Antagonists
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
189Subventions
Organisme : Agir à Dom
ID : -
Organisme : AstraZeneca
ID : -
Organisme : Boehringer Ingelheim France
ID : -
Organisme : Chiesi
ID : -
Organisme : GSK
ID : -
Organisme : Novartis
ID : -
Organisme : PneumRX
ID : -
Références
Eur Respir J. 2001 Dec;18(6):903-8
pubmed: 11829094
Eur Respir J. 2002 Jul;20(1):243-4
pubmed: 12166576
Can Respir J. 2006 Mar;13 Suppl A:5-47
pubmed: 16552449
N Engl J Med. 2010 Sep 16;363(12):1128-38
pubmed: 20843247
Int J Chron Obstruct Pulmon Dis. 2011;6:387-98
pubmed: 21760726
Respir Med. 2012 Jul;106(7):989-97
pubmed: 22483189
BMC Pulm Med. 2012 Aug 06;12:39
pubmed: 22867632
Respir Med. 2013 Dec;107(12):1817-21
pubmed: 24120398
Eur Respir J. 2014 Apr;43(4):1201-3
pubmed: 24176996
COPD. 2014 Jun;11(3):351-8
pubmed: 24378052
Respir Med. 2014 Apr;108(4):593-9
pubmed: 24477080
Respir Med. 2014 May;108(5):729-36
pubmed: 24675239
COPD. 2015 Aug;12(4):366-73
pubmed: 25254928
Lancet. 2015 May 2;385(9979):1789-1798
pubmed: 25943943
Int J Chron Obstruct Pulmon Dis. 2015 Jun 04;10:1053-9
pubmed: 26082629
Rev Mal Respir. 2016 Jan;33(1):5-16
pubmed: 26163395
Eur Respir J. 2016 Feb;47(2):625-37
pubmed: 26797035
Int J Chron Obstruct Pulmon Dis. 2016 Jun 02;11:1171-8
pubmed: 27330285
Int J Chron Obstruct Pulmon Dis. 2016 Dec 22;12:73-83
pubmed: 28053518
Eur Respir J. 2017 Feb 8;49(2):
pubmed: 28179443
Eur Respir J. 2017 Mar 6;49(3):
pubmed: 28182564
Int J Chron Obstruct Pulmon Dis. 2017 Feb 01;12:487-494
pubmed: 28203072
Int J Chron Obstruct Pulmon Dis. 2017 Mar 17;12:907-922
pubmed: 28360514
Lancet. 2017 May 13;389(10082):1919-1929
pubmed: 28385353
Int J Chron Obstruct Pulmon Dis. 2017 May 23;12:1527-1537
pubmed: 28579771
Lancet Respir Med. 2017 Sep;5(9):747-759
pubmed: 28601554
NPJ Prim Care Respir Med. 2017 Jun 29;27(1):43
pubmed: 28663549
Eur Respir J. 2017 Oct 12;50(4):
pubmed: 29025880
Eur Clin Respir J. 2017 Dec 04;4(1):1409060
pubmed: 29230274
Eur Respir Rev. 2017 Sep 27;26(145):null
pubmed: 31408006