2020
DOI: 10.1186/s12879-020-05262-6
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Modifiable healthcare factors affecting 28-day survival in bloodstream infection: a prospective cohort study

Abstract: Background: Bloodstream infection is common in the UK and has significant mortality depending on the pathogen involved, site of infection and other patient factors. Healthcare staffing and ward activity may also impact on outcomes in a range of conditions, however there is little specific National Health Service (NHS) data on the impact for patients with bloodstream infection. Bloodstream Infections-Focus on Outcomes is a multicentre cohort study with the primary aim of identifying modifiable risk factors for … Show more

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Cited by 13 publications
(18 citation statements)
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References 21 publications
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“…A summary of missing data is given in Supplementary Table 1, Additional file 1 and the model used to derive the risk score is shown in Supplementary Table 2, Additional file 1 . After adjustment for organism and the risk score representing the non-modifiable risk factors, modifiable risk factors that were associated with mortality within 28 days were ward speciality, ward activity, cumulative count of ward movements within speciality, cumulative count of movements from critical care, and time to receipt of appropriate therapy [ 13 ]. Inclusion of time to receipt of appropriate antimicrobial therapy violated the proportional hazards assumption, therefore the effect of time to receipt of appropriate antimicrobial therapy was estimated separately within each of three intervals: days 0–6, days 7–13, and day14 onwards.…”
Section: Study Resultsmentioning
confidence: 99%
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“…A summary of missing data is given in Supplementary Table 1, Additional file 1 and the model used to derive the risk score is shown in Supplementary Table 2, Additional file 1 . After adjustment for organism and the risk score representing the non-modifiable risk factors, modifiable risk factors that were associated with mortality within 28 days were ward speciality, ward activity, cumulative count of ward movements within speciality, cumulative count of movements from critical care, and time to receipt of appropriate therapy [ 13 ]. Inclusion of time to receipt of appropriate antimicrobial therapy violated the proportional hazards assumption, therefore the effect of time to receipt of appropriate antimicrobial therapy was estimated separately within each of three intervals: days 0–6, days 7–13, and day14 onwards.…”
Section: Study Resultsmentioning
confidence: 99%
“…The primary aim of the study was to quantify the effect of modifiable factors on all-cause 28-day mortality (including deaths after hospital discharge). The results of the study have been published elsewhere [ 13 ].…”
Section: Methodsmentioning
confidence: 99%
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“…Most have identified the importance of comorbidity and age on mortality. Some have identified factors that are amendable to intervention such as timing of effective antibiotics [22,23]. Only two have examined the role of bacterial sequence type, but failed to identify an association with adverse outcome such as mortality [16,24].…”
Section: Discussionmentioning
confidence: 99%