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1.
Eur J Clin Microbiol Infect Dis ; 38(8): 1515-1522, 2019 Aug.
Article in English | MEDLINE | ID: mdl-31079313

ABSTRACT

Selecting high-risk patients may improve the cost-effectiveness of rapid diagnostics. Our objective was to assess whether model-based selection or clinical selection is better for selecting high-risk patients with a high rate of bacteremia and/or DNAemia. This study involved a model-based, retrospective selection of patients from a cohort from which clinicians selected high-risk patients for rapid direct-from-blood diagnostic testing. Patients were included if they were suspected of sepsis and had blood cultures ordered at the emergency department. Patients were selected by the model by adding those with the highest probability of bacteremia until the number of high-risk patients selected by clinicians was reached. The primary outcome was bacteremia rate. Secondary outcomes were DNAemia rate, and 30-day mortality. Data were collected for 1395 blood cultures. Following exclusion, 1142 patients were included in the analysis. In each high-risk group, 220/1142 were selected, where 55 were selected both by clinicians and the model. For the remaining 165 in each group, the model selected for a higher bacteremia rate (74/165, 44.8% vs. 45/165, 27.3%, p = 0.001), and a higher 30-day mortality (49/165, 29.7% vs. 19/165, 11.5%, p = 0.00004) than the clinically selected group. The model outperformed clinicians in selecting patients with a high rate of bacteremia. Using such a model for risk stratification may contribute towards closing the gap in cost between rapid and culture-based diagnostics.


Subject(s)
Bacteremia/diagnosis , Bacteremia/mortality , Blood Culture , Emergency Service, Hospital/statistics & numerical data , Patient Selection , Aged , Aged, 80 and over , Bacteremia/microbiology , Bacteria/isolation & purification , DNA, Bacterial/blood , Female , Humans , Italy , Male , Middle Aged , Models, Theoretical , Molecular Diagnostic Techniques , Prospective Studies , Retrospective Studies , Risk Assessment/methods , Risk Factors
2.
Scand J Public Health ; 45(8): 818-823, 2017 Dec.
Article in English | MEDLINE | ID: mdl-28915770

ABSTRACT

AIMS: External compression headache is defined as a headache caused by an external physical compression applied on the head. It affects about 4% of the general population; however, certain populations (e.g. construction workers and military personnel) with particular needs of headwear or helmet are at higher risk of developing this type of headache. External compression headache is poorly studied in relation to specific populations. This study aimed to investigate the prevalence and pattern of helmet-induced external compression headache among Danish military personnel of the Northern Jutland region in Denmark. METHODS: Data acquisition was based on a custom-made questionnaire delivered to volunteers who used helmets in the Danish military service and who agreed to participate in this study. The military of the Northern Jutland region of Denmark facilitated recruitment of the participants. The questionnaires were delivered on paper and the collected (anonymous) answers (total 279) were used for further analysis. RESULTS: About 30% of the study participants reported headache in relation to wearing a military helmet. Headache was defined as a pressing pain predominantly in the front of the head with an average intensity of 4 on a visual analogue scale of 0 (no pain) to 10 (worst pain imaginable). It was also found that helmets with different designs influenced both the occurrence of headache and its characteristics. CONCLUSIONS: This study is the first to demonstrate the prevalence and pattern of compression headache among military personnel in North Jutland, Denmark. The findings of this study call for further attention to helmet-induced external compression headache and strategies to minimize the burden.


Subject(s)
Head Protective Devices/adverse effects , Headache Disorders/epidemiology , Military Personnel/statistics & numerical data , Adult , Denmark/epidemiology , Female , Humans , Male , Prevalence , Risk , Surveys and Questionnaires , Young Adult
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