Cargando…

Probability of sepsis after infection consultations in primary care in the United Kingdom in 2002–2017: Population-based cohort study and decision analytic model

BACKGROUND: Efforts to reduce unnecessary antibiotic prescribing have coincided with increasing awareness of sepsis. We aimed to estimate the probability of sepsis following infection consultations in primary care when antibiotics were or were not prescribed. METHODS AND FINDINGS: We conducted a coh...

Descripción completa

Detalles Bibliográficos
Autores principales: Gulliford, Martin C., Charlton, Judith, Winter, Joanne R., Sun, Xiaohui, Rezel-Potts, Emma, Bunce, Catey, Fox, Robin, Little, Paul, Hay, Alastair D., Moore, Michael V., Ashworth, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377386/
https://www.ncbi.nlm.nih.gov/pubmed/32702001
http://dx.doi.org/10.1371/journal.pmed.1003202
_version_ 1783562205338271744
author Gulliford, Martin C.
Charlton, Judith
Winter, Joanne R.
Sun, Xiaohui
Rezel-Potts, Emma
Bunce, Catey
Fox, Robin
Little, Paul
Hay, Alastair D.
Moore, Michael V.
Ashworth, Mark
author_facet Gulliford, Martin C.
Charlton, Judith
Winter, Joanne R.
Sun, Xiaohui
Rezel-Potts, Emma
Bunce, Catey
Fox, Robin
Little, Paul
Hay, Alastair D.
Moore, Michael V.
Ashworth, Mark
author_sort Gulliford, Martin C.
collection PubMed
description BACKGROUND: Efforts to reduce unnecessary antibiotic prescribing have coincided with increasing awareness of sepsis. We aimed to estimate the probability of sepsis following infection consultations in primary care when antibiotics were or were not prescribed. METHODS AND FINDINGS: We conducted a cohort study including all registered patients at 706 general practices in the United Kingdom Clinical Practice Research Datalink, with 66.2 million person-years of follow-up from 2002 to 2017. There were 35,244 first episodes of sepsis (17,886, 51%, female; median age 71 years, interquartile range 57–82 years). Consultations for respiratory tract infection (RTI), skin or urinary tract infection (UTI), and antibiotic prescriptions were exposures. A Bayesian decision tree was used to estimate the probability (95% uncertainty intervals [UIs]) of sepsis following an infection consultation. Age, gender, and frailty were evaluated as association modifiers. The probability of sepsis was lower if an antibiotic was prescribed, but the number of antibiotic prescriptions required to prevent one episode of sepsis (number needed to treat [NNT]) decreased with age. At 0–4 years old, the NNT was 29,773 (95% UI 18,458–71,091) in boys and 27,014 (16,739–65,709) in girls; over 85 years old, NNT was 262 (236–293) in men and 385 (352–421) in women. Frailty was associated with greater risk of sepsis and lower NNT. For severely frail patients aged 55–64 years, the NNT was 247 (156–459) in men and 343 (234–556) in women. At all ages, the probability of sepsis was greatest for UTI, followed by skin infection, followed by RTI. At 65–74 years, the NNT following RTI was 1,257 (1,112–1,434) in men and 2,278 (1,966–2,686) in women; the NNT following skin infection was 503 (398–646) in men and 784 (602–1,051) in women; following UTI, the NNT was 121 (102–145) in men and 284 (241–342) in women. NNT values were generally smaller for the period from 2014 to 2017, when sepsis was diagnosed more frequently. Lack of random allocation to antibiotic therapy might have biased estimates; patients may sometimes experience sepsis or receive antibiotic prescriptions without these being recorded in primary care; recording of sepsis has increased over the study period. CONCLUSIONS: These stratified estimates of risk help to identify groups in which antibiotic prescribing may be more safely reduced. Risks of sepsis and benefits of antibiotics are more substantial among older adults, persons with more advanced frailty, or following UTIs.
format Online
Article
Text
id pubmed-7377386
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-73773862020-08-12 Probability of sepsis after infection consultations in primary care in the United Kingdom in 2002–2017: Population-based cohort study and decision analytic model Gulliford, Martin C. Charlton, Judith Winter, Joanne R. Sun, Xiaohui Rezel-Potts, Emma Bunce, Catey Fox, Robin Little, Paul Hay, Alastair D. Moore, Michael V. Ashworth, Mark PLoS Med Research Article BACKGROUND: Efforts to reduce unnecessary antibiotic prescribing have coincided with increasing awareness of sepsis. We aimed to estimate the probability of sepsis following infection consultations in primary care when antibiotics were or were not prescribed. METHODS AND FINDINGS: We conducted a cohort study including all registered patients at 706 general practices in the United Kingdom Clinical Practice Research Datalink, with 66.2 million person-years of follow-up from 2002 to 2017. There were 35,244 first episodes of sepsis (17,886, 51%, female; median age 71 years, interquartile range 57–82 years). Consultations for respiratory tract infection (RTI), skin or urinary tract infection (UTI), and antibiotic prescriptions were exposures. A Bayesian decision tree was used to estimate the probability (95% uncertainty intervals [UIs]) of sepsis following an infection consultation. Age, gender, and frailty were evaluated as association modifiers. The probability of sepsis was lower if an antibiotic was prescribed, but the number of antibiotic prescriptions required to prevent one episode of sepsis (number needed to treat [NNT]) decreased with age. At 0–4 years old, the NNT was 29,773 (95% UI 18,458–71,091) in boys and 27,014 (16,739–65,709) in girls; over 85 years old, NNT was 262 (236–293) in men and 385 (352–421) in women. Frailty was associated with greater risk of sepsis and lower NNT. For severely frail patients aged 55–64 years, the NNT was 247 (156–459) in men and 343 (234–556) in women. At all ages, the probability of sepsis was greatest for UTI, followed by skin infection, followed by RTI. At 65–74 years, the NNT following RTI was 1,257 (1,112–1,434) in men and 2,278 (1,966–2,686) in women; the NNT following skin infection was 503 (398–646) in men and 784 (602–1,051) in women; following UTI, the NNT was 121 (102–145) in men and 284 (241–342) in women. NNT values were generally smaller for the period from 2014 to 2017, when sepsis was diagnosed more frequently. Lack of random allocation to antibiotic therapy might have biased estimates; patients may sometimes experience sepsis or receive antibiotic prescriptions without these being recorded in primary care; recording of sepsis has increased over the study period. CONCLUSIONS: These stratified estimates of risk help to identify groups in which antibiotic prescribing may be more safely reduced. Risks of sepsis and benefits of antibiotics are more substantial among older adults, persons with more advanced frailty, or following UTIs. Public Library of Science 2020-07-23 /pmc/articles/PMC7377386/ /pubmed/32702001 http://dx.doi.org/10.1371/journal.pmed.1003202 Text en © 2020 Gulliford et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Gulliford, Martin C.
Charlton, Judith
Winter, Joanne R.
Sun, Xiaohui
Rezel-Potts, Emma
Bunce, Catey
Fox, Robin
Little, Paul
Hay, Alastair D.
Moore, Michael V.
Ashworth, Mark
Probability of sepsis after infection consultations in primary care in the United Kingdom in 2002–2017: Population-based cohort study and decision analytic model
title Probability of sepsis after infection consultations in primary care in the United Kingdom in 2002–2017: Population-based cohort study and decision analytic model
title_full Probability of sepsis after infection consultations in primary care in the United Kingdom in 2002–2017: Population-based cohort study and decision analytic model
title_fullStr Probability of sepsis after infection consultations in primary care in the United Kingdom in 2002–2017: Population-based cohort study and decision analytic model
title_full_unstemmed Probability of sepsis after infection consultations in primary care in the United Kingdom in 2002–2017: Population-based cohort study and decision analytic model
title_short Probability of sepsis after infection consultations in primary care in the United Kingdom in 2002–2017: Population-based cohort study and decision analytic model
title_sort probability of sepsis after infection consultations in primary care in the united kingdom in 2002–2017: population-based cohort study and decision analytic model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377386/
https://www.ncbi.nlm.nih.gov/pubmed/32702001
http://dx.doi.org/10.1371/journal.pmed.1003202
work_keys_str_mv AT gullifordmartinc probabilityofsepsisafterinfectionconsultationsinprimarycareintheunitedkingdomin20022017populationbasedcohortstudyanddecisionanalyticmodel
AT charltonjudith probabilityofsepsisafterinfectionconsultationsinprimarycareintheunitedkingdomin20022017populationbasedcohortstudyanddecisionanalyticmodel
AT winterjoanner probabilityofsepsisafterinfectionconsultationsinprimarycareintheunitedkingdomin20022017populationbasedcohortstudyanddecisionanalyticmodel
AT sunxiaohui probabilityofsepsisafterinfectionconsultationsinprimarycareintheunitedkingdomin20022017populationbasedcohortstudyanddecisionanalyticmodel
AT rezelpottsemma probabilityofsepsisafterinfectionconsultationsinprimarycareintheunitedkingdomin20022017populationbasedcohortstudyanddecisionanalyticmodel
AT buncecatey probabilityofsepsisafterinfectionconsultationsinprimarycareintheunitedkingdomin20022017populationbasedcohortstudyanddecisionanalyticmodel
AT foxrobin probabilityofsepsisafterinfectionconsultationsinprimarycareintheunitedkingdomin20022017populationbasedcohortstudyanddecisionanalyticmodel
AT littlepaul probabilityofsepsisafterinfectionconsultationsinprimarycareintheunitedkingdomin20022017populationbasedcohortstudyanddecisionanalyticmodel
AT hayalastaird probabilityofsepsisafterinfectionconsultationsinprimarycareintheunitedkingdomin20022017populationbasedcohortstudyanddecisionanalyticmodel
AT mooremichaelv probabilityofsepsisafterinfectionconsultationsinprimarycareintheunitedkingdomin20022017populationbasedcohortstudyanddecisionanalyticmodel
AT ashworthmark probabilityofsepsisafterinfectionconsultationsinprimarycareintheunitedkingdomin20022017populationbasedcohortstudyanddecisionanalyticmodel
AT probabilityofsepsisafterinfectionconsultationsinprimarycareintheunitedkingdomin20022017populationbasedcohortstudyanddecisionanalyticmodel