scholarly journals Risk Factors and Outcomes Associated With Hospital-Onset Peripheral Intravenous Catheter–Associated Staphylococcus aureus Bacteremia

2019 ◽  
Vol 6 (4) ◽  
Author(s):  
Mica Blauw ◽  
Betsy Foxman ◽  
Juan Wu ◽  
Janice Rey ◽  
Neelay Kothari ◽  
...  
Keyword(s):  
Risk Factors ◽  
Staphylococcus Aureus ◽  
Intravenous Catheter ◽  
Staphylococcus Aureus Bacteremia ◽  
Peripheral Intravenous Catheter

scholarly journals Peripheral Intravenous Catheter Placement Is an Underrecognized Source of Staphylococcus aureus Bloodstream Infection

2016 ◽  
Vol 3 (2) ◽  
Author(s):  
Eloise D. Austin ◽  
Sean B. Sullivan ◽  
Susan Whittier ◽  
Franklin D. Lowy ◽  
Anne-Catrin Uhlemann
Keyword(s):  
Staphylococcus Aureus ◽  
Bloodstream Infection ◽  
Catheter Placement ◽  
Intravenous Catheter ◽  
Staphylococcus Aureus Bacteremia ◽  
Peripheral Intravenous Catheter ◽  
Life Threatening ◽  
Staphylococcus Aureus Bloodstream Infection ◽  
Life Threatening Complication ◽  
Intravenous Catheters

Abstract Few studies have focused on the risks of peripheral intravenous catheters (PIVs) as sources for Staphylococcus aureus bacteremia (SAB), a life-threatening complication. We identified 34 PIV-related infections (7.6%) in a cohort of 445 patients with SAB. Peripheral intravenous catheter-related SAB was associated with significantly longer bacteremia duration and thrombophlebitis at old PIV sites rather than current PIVs.

Risk Factors for Methicillin-Resistance among Patients with Staphylococcus aureus Bacteremia at the Time of Hospital Admission

2002 ◽  
Vol 323 (3) ◽  
pp. 117-123 ◽  
Author(s):  
Nilton A. Rezende ◽  
Henry M. Blumberg ◽  
Susan M. Ray ◽  
Brian S. Metzger ◽  
Nina M. Larsen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Staphylococcus Aureus ◽  
Hospital Admission ◽  
Methicillin Resistance ◽  
Staphylococcus Aureus Bacteremia

scholarly journals 172. Risk Factors for 30-Day Mortality in Patients with Staphylococcus aureus Bacteremia at a Community Hospital: A Prospective Case–Control Study

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S109-S110
Author(s):  
Charles Hoffmann ◽  
Gordon Watkins ◽  
Patrick DeSimone ◽  
Peter Hallisey ◽  
David Hutchinson ◽  
...  
Keyword(s):  
Risk Factors ◽  
Staphylococcus Aureus ◽  
Case Control Study ◽  
Community Hospital ◽  
Univariate Analysis ◽  
Case Control ◽  
Blood Cultures ◽  
Staphylococcus Aureus Bacteremia ◽  
Initial Blood ◽  
Control Study

Abstract Background Staphylococcus aureus bacteremia (SAB) is associated with 30-day all-cause mortality rates approaching 20–30%. The purpose of this case–control study was to evaluate risk factors for 30-day mortality in patients with SAB at a community hospital. Methods As part of an antimicrobial stewardship program (ASP) initiative mandating Infectious Diseases consultation for episodes of SAB, our ASP prospectively monitored all cases of SAB at a 341-bed community hospital in Jefferson Hills, PA from April 2017–February 2019. Cases included patients with 30-day mortality from the initial positive blood culture. Only the first episode of SAB was included; patients were excluded if a treatment plan was not established (e.g., left against medical advice). Patient demographics, comorbidities, laboratory results, and clinical management of SAB were evaluated. Inferential statistics were used to analyze risk factors associated with 30-day mortality. Results 100 patients with SAB were included; 18 (18%) experienced 30-day mortality. Cases were older (median age 76.5 vs. 64 years, P < 0.001), more likely to be located in the intensive care unit (ICU) at time of ASP review (55.6% vs. 30.5%, P = 0.043), and less likely to have initial blood cultures obtained in the emergency department (ED) (38.9% vs. 80.5%, P < 0.001). Variables associated with significantly higher odds for 30-day mortality in univariate analysis: older age, location in ICU at time of ASP review, initial blood cultures obtained at a location other than the ED, and total Charlson Comorbidity Index (CCI). Variables with P < 0.2 on univariate analysis were analyzed via multivariate logistic regression (Table 1). Conclusion Results show that bacteremia due to MRSA and total CCI were not significantly associated with 30-day mortality in SAB, whereas older age was identified as a risk factor. Patients with initial blood cultures obtained at a location other than the ED were at increased odds for 30-day mortality on univariate analysis, which may raise concern for delayed diagnosis. Disclosures All authors: No reported disclosures.

Frequency and Risk Factors for Deep Focus of Infection in Children With Staphylococcus aureus Bacteremia

2008 ◽  
Vol 27 (5) ◽  
pp. 396-399 ◽  
Author(s):  
Allison C. Ross ◽  
Philip Toltzis ◽  
Mary Ann OʼRiordan ◽  
Leah Millstein ◽  
Troy Sands ◽  
...  
Keyword(s):  
Risk Factors ◽  
Staphylococcus Aureus ◽  
Staphylococcus Aureus Bacteremia ◽  
Focus Of Infection ◽  
Deep Focus

Risk factors and mortality in patients with nosocomial Staphylococcus aureus bacteremia

2008 ◽  
Vol 36 (2) ◽  
pp. 118-122 ◽  
Author(s):  
Fu-Der Wang ◽  
Yin-Yin Chen ◽  
Te-Li Chen ◽  
Cheng-Yi Liu
Keyword(s):  
Risk Factors ◽  
Staphylococcus Aureus ◽  
Staphylococcus Aureus Bacteremia

scholarly journals 181. Demographic and Geographic Epidemiology of Staphylococcus aureus Bacteremia using Geographic Information Systems Mapping and Spatial Statistics

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S199-S199
Author(s):  
Julia Marshall ◽  
Vance G Fowler ◽  
Felicia Ruffin ◽  
Paul Lantos ◽  
Christopher Timmins
Keyword(s):  
Risk Factors ◽  
Staphylococcus Aureus ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Spatial Statistics ◽  
Clinical Characteristics ◽  
Geographic Information ◽  
Research Support ◽  
Material Support ◽  
Staphylococcus Aureus Bacteremia

Abstract Background Risk factors for community-associated Staphylococcus aureus bacteremia (SAB) are incompletely understood. We used Geographic Information Systems (GIS) and spatial statistics to analyze demographic and geographic epidemiology of SAB in the community. Methods We used the S. aureus Bacteremia Group Prospective Cohort Study (SABG-PCS) at Duke University Medical Center to obtain demographic and clinical data. We used the American Community Survey and U.S. Census to supply neighborhood variables. Secular trends in demographic and clinical characteristics of SAB patients prospectively enrolled between 1995 and 2015 (n = 2478) were determined using linear regressions. To characterize spatial patterns in Methicillin-resistant S. aureus (MRSA) bacteremia compared to Methicillin-susceptible S. aureus (MSSA) bacteremia, we used GIS mapping and selected a subgroup of patients (n = 667) living in and around Durham County, North Carolina. We then created generalized additive models (GAMs) using this subgroup to detect geographic heterogeneities in probabilities of MRSA infections compared to MSSA infections. Results We found evidence of changing demographic and clinical characteristics of SAB patients over the 21-year period. The proportion of infections acquired in the community increased significantly (p &lt; 0.0001). However, we did not detect spatial heterogeneities of MRSA infections in Durham County. Patient location of residence was not significantly associated with antimicrobial-resistant infections. Patient age and year of hospital admission were the only statistically significant covariates in our spatial models. Conclusion We utilized a novel method to analyze SAB in the community using GIS and spatial statistics. Future research should prioritize community transmission of S. aureus to identify robust risk factors for infection. Disclosures Vance G. Fowler, Jr., MD, MHS, Achaogen (Consultant)Advanced Liquid Logics (Grant/Research Support)Affinergy (Consultant, Grant/Research Support)Affinium (Consultant)Akagera (Consultant)Allergan (Grant/Research Support)Amphliphi Biosciences (Consultant)Aridis (Consultant)Armata (Consultant)Basilea (Consultant, Grant/Research Support)Bayer (Consultant)C3J (Consultant)Cerexa (Consultant, Other Financial or Material Support, Educational fees)Contrafect (Consultant, Grant/Research Support)Debiopharm (Consultant, Other Financial or Material Support, Educational fees)Destiny (Consultant)Durata (Consultant, Other Financial or Material Support, educational fees)Genentech (Consultant, Grant/Research Support)Green Cross (Other Financial or Material Support, Educational fees)Integrated Biotherapeutics (Consultant)Janssen (Consultant, Grant/Research Support)Karius (Grant/Research Support)Locus (Grant/Research Support)Medical Biosurfaces (Grant/Research Support)Medicines Co. (Consultant)MedImmune (Consultant, Grant/Research Support)Merck (Grant/Research Support)NIH (Grant/Research Support)Novadigm (Consultant)Novartis (Consultant, Grant/Research Support)Pfizer (Grant/Research Support)Regeneron (Consultant, Grant/Research Support)sepsis diagnostics (Other Financial or Material Support, Pending patent for host gene expression signature diagnostic for sepsis.)Tetraphase (Consultant)Theravance (Consultant, Grant/Research Support, Other Financial or Material Support, Educational fees)Trius (Consultant)UpToDate (Other Financial or Material Support, Royalties)Valanbio (Consultant, Other Financial or Material Support, Stock options)xBiotech (Consultant)

scholarly journals Risk Factors for Recurrent Staphylococcus aureus Bacteremia

2020 ◽  
Author(s):  
Seong-Ho Choi ◽  
Michael Dagher ◽  
Felicia Ruffin ◽  
Lawrence P Park ◽  
Batu K Sharma-Kuinkel ◽  
...  
Keyword(s):  
Risk Factors ◽  
Staphylococcus Aureus ◽  
Acute Phase ◽  
Hemodialysis Patients ◽  
Risk Modeling ◽  
Single Episode ◽  
Staphylococcus Aureus Bacteremia ◽  
Multivariate Risk ◽  
Persistent Bacteremia ◽  
Multiplex Bead

Abstract Background To understand the clinical, bacterial, and host characteristics associated with recurrent Staphylococcus aureus bacteremia (R-SAB), patients with R-SAB were compared to contemporaneous patients with a single episode of SAB (S-SAB). Methods All SAB isolates underwent spa genotyping. All isolates from R-SAB patients underwent pulsed-field gel electrophoresis (PFGE). PFGE-indistinguishable pairs from 40 patients underwent whole genome sequencing (WGS). Acute phase plasma from R-SAB and S-SAB patients was matched 1:1 for age, race, sex, and bacterial genotype, and underwent cytokine quantification using 25-analyte multiplex bead array. Results R-SAB occurred in 69 (9.1%) of the 756 study patients. Of the 69 patients, 30 experienced relapse (43.5%) and 39 reinfection (56.5%). Age, race, hemodialysis dependence, presence of foreign body, methicillin-resistant Staphyloccus aureus, and persistent bacteremia were individually associated with likelihood of recurrence. Multivariate risk modeling revealed that black hemodialysis patients were nearly 2 times more likely (odds ratio [OR] = 9.652 [95% confidence interval [CI], 5.402–17.418]) than white hemodialysis patients (OR = 4.53 [95% CI, 1.696–10.879]) to experience R-SAB. WGS confirmed PFGE interpretations in all cases. Median RANTES (regulated on activation, normal T cell expressed and secreted) levels in acute phase plasma from the initial episode of SAB were higher in R-SAB than in matched S-SAB controls (P = .0053, false discovery rate &lt; 0.10). Conclusion This study identified several risk factors for R-SAB. The largest risk for R-SAB is among black hemodialysis patients. Higher RANTES levels in R-SAB compared to matched controls warrants further study.

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