Cargando…

Post-consultation acute respiratory tract infection recovery: a latent class-informed analysis of individual patient data

BACKGROUND: There is a lack of evidence regarding post-consultation symptom trajectories for patients with respiratory tract infections (RTIs) and whether patient characteristics can be used to predict illness duration. AIM: To describe symptom trajectories in patients with RTIs, and assess baseline...

Descripción completa

Detalles Bibliográficos
Autores principales: Hounkpatin, Hilda, Stuart, Beth, Zhu, Shihua, Yao, Guiqing, Moore, Michael, Löffler, Christin, Little, Paul, Kenealy, Timothy, Gillespie, David, Francis, Nick A, Bostock, Jennifer, Becque, Taeko, Arroll, Bruce, Altiner, Attila, Alonso-Coello, Pablo, Hay, Alastair D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Royal College of General Practitioners 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975977/
https://www.ncbi.nlm.nih.gov/pubmed/36823057
http://dx.doi.org/10.3399/BJGP.2022.0229
_version_ 1784898996439875584
author Hounkpatin, Hilda
Stuart, Beth
Zhu, Shihua
Yao, Guiqing
Moore, Michael
Löffler, Christin
Little, Paul
Kenealy, Timothy
Gillespie, David
Francis, Nick A
Bostock, Jennifer
Becque, Taeko
Arroll, Bruce
Altiner, Attila
Alonso-Coello, Pablo
Hay, Alastair D
author_facet Hounkpatin, Hilda
Stuart, Beth
Zhu, Shihua
Yao, Guiqing
Moore, Michael
Löffler, Christin
Little, Paul
Kenealy, Timothy
Gillespie, David
Francis, Nick A
Bostock, Jennifer
Becque, Taeko
Arroll, Bruce
Altiner, Attila
Alonso-Coello, Pablo
Hay, Alastair D
author_sort Hounkpatin, Hilda
collection PubMed
description BACKGROUND: There is a lack of evidence regarding post-consultation symptom trajectories for patients with respiratory tract infections (RTIs) and whether patient characteristics can be used to predict illness duration. AIM: To describe symptom trajectories in patients with RTIs, and assess baseline characteristics and adverse events associated with trajectories. DESIGN AND SETTING: The study included data about 9103 adults and children from 12 primary care studies. METHOD: A latent class-informed regression analysis of individual patient data from randomised controlled trials and observational cohort studies was undertaken. Post-consultation symptom trajectory (severity and duration), re-consultation with same or worsening illness, and admission to hospital were assessed. RESULTS: In total, 90% of participants recovered from all symptoms by 28 days, regardless of antibiotic prescribing strategy (none, immediate, and delayed antibiotics). For studies of RTI with cough as a dominant symptom (n = 5314), four trajectories were identified: ‘rapid (6 days)’ (90% of participants recovered within 6 days) in 52.0%; ‘intermediate (10 days)’ (28.9%); ‘slow progressive improvement (27 days)’ (12.5%); and ‘slow improvement with initial high symptom burden (27 days)’ (6.6%). For cough, being aged 16–64 years (odds ratio [OR] 2.57, 95% confidence interval [CI] = 1.72 to 3.85 compared with <16 years), higher presenting illness baseline severity (OR 1.51, 95% CI = 1.12 to 2.03), presence of lung disease (OR 1.78, 95% CI = 1.44 to 2.21), and median and above illness duration before consultation (≥7 days) (OR 1.99, 95% CI = 1.68 to 2.37) were associated with slower recovery (>10 days) compared with faster recovery (≤10 days). Re-consultations and admissions to hospital for cough were higher in those with slower recovery (ORs: 2.15, 95% CI = 1.78 to 2.60 and 7.42, 95% CI = 3.49 to 15.78, respectively). CONCLUSION: Older patients presenting with more severe, longer pre-consultation symptoms and chronic lung disease should be advised they are more likely to experience longer post-consultation illness durations, and that recovery rates are similar with and without antibiotics.
format Online
Article
Text
id pubmed-9975977
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Royal College of General Practitioners
record_format MEDLINE/PubMed
spelling pubmed-99759772023-03-02 Post-consultation acute respiratory tract infection recovery: a latent class-informed analysis of individual patient data Hounkpatin, Hilda Stuart, Beth Zhu, Shihua Yao, Guiqing Moore, Michael Löffler, Christin Little, Paul Kenealy, Timothy Gillespie, David Francis, Nick A Bostock, Jennifer Becque, Taeko Arroll, Bruce Altiner, Attila Alonso-Coello, Pablo Hay, Alastair D Br J Gen Pract Research BACKGROUND: There is a lack of evidence regarding post-consultation symptom trajectories for patients with respiratory tract infections (RTIs) and whether patient characteristics can be used to predict illness duration. AIM: To describe symptom trajectories in patients with RTIs, and assess baseline characteristics and adverse events associated with trajectories. DESIGN AND SETTING: The study included data about 9103 adults and children from 12 primary care studies. METHOD: A latent class-informed regression analysis of individual patient data from randomised controlled trials and observational cohort studies was undertaken. Post-consultation symptom trajectory (severity and duration), re-consultation with same or worsening illness, and admission to hospital were assessed. RESULTS: In total, 90% of participants recovered from all symptoms by 28 days, regardless of antibiotic prescribing strategy (none, immediate, and delayed antibiotics). For studies of RTI with cough as a dominant symptom (n = 5314), four trajectories were identified: ‘rapid (6 days)’ (90% of participants recovered within 6 days) in 52.0%; ‘intermediate (10 days)’ (28.9%); ‘slow progressive improvement (27 days)’ (12.5%); and ‘slow improvement with initial high symptom burden (27 days)’ (6.6%). For cough, being aged 16–64 years (odds ratio [OR] 2.57, 95% confidence interval [CI] = 1.72 to 3.85 compared with <16 years), higher presenting illness baseline severity (OR 1.51, 95% CI = 1.12 to 2.03), presence of lung disease (OR 1.78, 95% CI = 1.44 to 2.21), and median and above illness duration before consultation (≥7 days) (OR 1.99, 95% CI = 1.68 to 2.37) were associated with slower recovery (>10 days) compared with faster recovery (≤10 days). Re-consultations and admissions to hospital for cough were higher in those with slower recovery (ORs: 2.15, 95% CI = 1.78 to 2.60 and 7.42, 95% CI = 3.49 to 15.78, respectively). CONCLUSION: Older patients presenting with more severe, longer pre-consultation symptoms and chronic lung disease should be advised they are more likely to experience longer post-consultation illness durations, and that recovery rates are similar with and without antibiotics. Royal College of General Practitioners 2023-02-21 /pmc/articles/PMC9975977/ /pubmed/36823057 http://dx.doi.org/10.3399/BJGP.2022.0229 Text en © The Authors https://creativecommons.org/licenses/by/4.0/This article is Open Access: CC BY 4.0 licence (http://creativecommons.org/licences/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Research
Hounkpatin, Hilda
Stuart, Beth
Zhu, Shihua
Yao, Guiqing
Moore, Michael
Löffler, Christin
Little, Paul
Kenealy, Timothy
Gillespie, David
Francis, Nick A
Bostock, Jennifer
Becque, Taeko
Arroll, Bruce
Altiner, Attila
Alonso-Coello, Pablo
Hay, Alastair D
Post-consultation acute respiratory tract infection recovery: a latent class-informed analysis of individual patient data
title Post-consultation acute respiratory tract infection recovery: a latent class-informed analysis of individual patient data
title_full Post-consultation acute respiratory tract infection recovery: a latent class-informed analysis of individual patient data
title_fullStr Post-consultation acute respiratory tract infection recovery: a latent class-informed analysis of individual patient data
title_full_unstemmed Post-consultation acute respiratory tract infection recovery: a latent class-informed analysis of individual patient data
title_short Post-consultation acute respiratory tract infection recovery: a latent class-informed analysis of individual patient data
title_sort post-consultation acute respiratory tract infection recovery: a latent class-informed analysis of individual patient data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975977/
https://www.ncbi.nlm.nih.gov/pubmed/36823057
http://dx.doi.org/10.3399/BJGP.2022.0229
work_keys_str_mv AT hounkpatinhilda postconsultationacuterespiratorytractinfectionrecoveryalatentclassinformedanalysisofindividualpatientdata
AT stuartbeth postconsultationacuterespiratorytractinfectionrecoveryalatentclassinformedanalysisofindividualpatientdata
AT zhushihua postconsultationacuterespiratorytractinfectionrecoveryalatentclassinformedanalysisofindividualpatientdata
AT yaoguiqing postconsultationacuterespiratorytractinfectionrecoveryalatentclassinformedanalysisofindividualpatientdata
AT mooremichael postconsultationacuterespiratorytractinfectionrecoveryalatentclassinformedanalysisofindividualpatientdata
AT lofflerchristin postconsultationacuterespiratorytractinfectionrecoveryalatentclassinformedanalysisofindividualpatientdata
AT littlepaul postconsultationacuterespiratorytractinfectionrecoveryalatentclassinformedanalysisofindividualpatientdata
AT kenealytimothy postconsultationacuterespiratorytractinfectionrecoveryalatentclassinformedanalysisofindividualpatientdata
AT gillespiedavid postconsultationacuterespiratorytractinfectionrecoveryalatentclassinformedanalysisofindividualpatientdata
AT francisnicka postconsultationacuterespiratorytractinfectionrecoveryalatentclassinformedanalysisofindividualpatientdata
AT bostockjennifer postconsultationacuterespiratorytractinfectionrecoveryalatentclassinformedanalysisofindividualpatientdata
AT becquetaeko postconsultationacuterespiratorytractinfectionrecoveryalatentclassinformedanalysisofindividualpatientdata
AT arrollbruce postconsultationacuterespiratorytractinfectionrecoveryalatentclassinformedanalysisofindividualpatientdata
AT altinerattila postconsultationacuterespiratorytractinfectionrecoveryalatentclassinformedanalysisofindividualpatientdata
AT alonsocoellopablo postconsultationacuterespiratorytractinfectionrecoveryalatentclassinformedanalysisofindividualpatientdata
AT hayalastaird postconsultationacuterespiratorytractinfectionrecoveryalatentclassinformedanalysisofindividualpatientdata