| Title |
A prediction rule for early recognition of patients with candidemia in Internal Medicine: results from an Italian, multicentric, case–control study
|
|---|---|
| Published in |
Infection, June 2018
|
| DOI | 10.1007/s15010-018-1162-0 |
| Pubmed ID | |
| Authors |
Emanuela Sozio, Filippo Pieralli, Anna Maria Azzini, Giancarlo Tintori, Federica Demma, Gianluca Furneri, Francesco Sbrana, Giacomo Bertolino, Simona Fortunato, Simone Meini, Damiano Bragantini, Alessandro Morettini, Carlo Nozzoli, Francesco Menichetti, Ercole Concia, Carlo Tascini, on behalf of GISA/FADOI Candida Study Group |
| Abstract |
Increasing prevalence of candidemia in Internal Medicine wards (IMWs) has been reported in recent years, but risk factors for candida bloodstream infection in patients admitted to IMW may differ from those known in other settings. The aim of this study was to identify risk factors and define a prediction rule for the early recognition of the risk of candidemia in IMW inpatients. This was a multicentric, retrospective, observational case-control study on non-neutropenic patients with candidemia admitted to IMWs of four large Italian Hospitals. Each eligible patient with candidemia (case) was matched to a control with bacteremia. Stepwise logistic regression analyses were performed. Overall, 300 patients (150 cases and 150 controls) were enrolled. The following factors were associated with an increased risk of candidemia and weighted to build a score: total parenteral nutrition (OR 2.45, p = 0.008; 1 point); central venous catheter (OR 2.19, p = 0.031; 1 point); peripherally inserted central catheter (OR 5.63, p < 0.0001; 3 points), antibiotic treatment prior (OR 2.06; p = 0.059; 1 point) and during hospitalization (OR2.38, p = 0.033; 1 point); neurological disability (OR 2.25, p = 0.01; 1 point); and previous hospitalization within 3 months (OR 1.56, p = 0.163; 1 point). At ROC curve analysis, a final score ≥ 4 showed 84% sensitivity, 76% specificity, and 80% accuracy in predicting the risk of candidemia. The proposed scoring system showed to be a simple and highly performing tool in distinguishing bloodstream infections due to Candida and bacteria in patients admitted to IMW. The proposed rule might help to reduce delay in empirical treatment and improve appropriateness in antifungal prescription in septic patients. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 6 | 18% |
| Student > Doctoral Student | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Student > Master | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Other | 8 | 24% |
| Unknown | 8 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 44% |
| Agricultural and Biological Sciences | 4 | 12% |
| Nursing and Health Professions | 3 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 7 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 June 2018.
All research outputs
#18,640,437
of 23,092,602 outputs
Outputs from Infection
#1,119
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Outputs of similar age
#254,150
of 328,927 outputs
Outputs of similar age from Infection
#10
of 18 outputs
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