Clinical consequences of contaminated blood cultures in adult hospitalized patients at an institution utilizing a rapid blood-culture identification system

2020 ◽  
pp. 1-7
Author(s):  
Sidra Liaquat ◽  
Lorena Baccaglini ◽  
Gleb Haynatzki ◽  
Sharon J. Medcalf ◽  
Mark E. Rupp
Keyword(s):  
Blood Culture ◽  
Antibiotic Therapy ◽  
Hospital Stay ◽  
Length Of Hospital Stay ◽  
Blood Cultures ◽  
Hospitalized Patients ◽  
Identification System ◽  
Negative Blood Culture ◽  
Culture Identification ◽  
Contaminated Blood

Abstract Objective: To assess the clinical impact of contaminated blood cultures in hospitalized patients during a period when rapid diagnostic testing using a FilmArray Blood Culture Identification (BCID) panel was in use. Design: Retrospective cohort study. Setting: Single academic medical center. Participants: Patients who had blood culture(s) performed during an admission between June 2014 and December 2016. Methods: Length of hospital stay and days of antibiotic therapy were assessed in relation to blood-culture contamination using generalized linear models with univariable and multivariable analyses. Results: Among 11,474 patients who had blood cultures performed, the adjusted mean length of hospital stay for patients with contaminated blood-culture episodes (N = 464) was 12.3 days (95% confidence interval [CI], 11.4–13.2) compared to 11.5 days (95% CI, 11.0–11.9) for patients (N = 11,010) with negative blood-culture episodes (P = .032). The adjusted mean durations of antibiotic therapy for patients with contaminated and negative blood-culture episodes were 6.0 days (95% CI, 5.3–6.7) and 5.2 days (95% CI, 4.9–5.4), respectively (P = .011). Conclusions: Despite the use of molecular-based, rapid blood-culture identification, contamination of blood cultures continues to result in prolonged hospital stay and unnecessary antibiotic therapy in hospitalized patients.

The Association between Prolonged Antibiotic Use in Culture Negative Infants and Length of Hospital Stay and Total Hospital Costs

2021 ◽  
Author(s):  
Wesam Sourour ◽  
Valeria Sanchez ◽  
Michel Sourour ◽  
Jordan Burdine ◽  
Elizabeth Rodriguez Lien ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Blood Culture ◽  
Hospital Stay ◽  
Length Of Hospital Stay ◽  
Antibiotic Use ◽  
Hospital Length Of Stay ◽  
Control Group ◽  
Multivariate Linear Regression Analysis ◽  
Negative Blood Culture ◽  
Total Cost

Objective This study aimed to determine if prolonged antibiotic use at birth in neonates with a negative blood culture increases the total cost of hospital stay. Study design This was a retrospective study performed at a 60-bed level IV neonatal intensive care unit. Neonates born <30 weeks of gestation or <1,500 g between 2016 and 2018 who received antibiotics were included. A multivariate linear regression analysis was conducted to determine if clinical factors contributed to increased hospital cost or length of stay. Results In total, 190 patients met inclusion criteria with 94 infants in the prolonged antibiotic group and 96 in the control group. Prolonged antibiotic use was associated with an increase length of hospital stay of approximately 31.87 days, resulting in a $69,946 increase in total cost of hospitalization. Conclusion Prolonged antibiotics in neonates with negative blood culture were associated with significantly longer hospital length of stay and increased total cost of hospitalization. Key Points

scholarly journals Antimicrobial Stewardship Opportunities in Patients with Bacteremia Not Identified by BioFire FilmArray

2019 ◽  
Vol 57 (5) ◽  
Author(s):  
P. Ny ◽  
A. Ozaki ◽  
J. Pallares ◽  
P. Nieberg ◽  
A. Wong-Beringer
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Blood Culture ◽  
Intensive Care Unit Admission ◽  
Clinical Characteristics ◽  
Length Of Hospital Stay ◽  
Blood Cultures ◽  
Rapid Diagnostics ◽  
Admission Data ◽  
Culture Identification

ABSTRACTA subset of bacteremia cases are caused by organisms not detected by a rapid-diagnostics platform, BioFire blood culture identification (BCID), with unknown clinical characteristics and outcomes. Patients with ≥1 positive blood culture over a 15-month period were grouped by negative (NB-PC) versus positive (PB-PC) BioFire BCID results and compared with respect to demographics, infection characteristics, antibiotic therapy, and outcomes (length of hospital stay [LOS] and in-hospital mortality). Six percent of 1,044 positive blood cultures were NB-PC. The overall mean age was 65 ± 22 years, 54% of the patients were male, and most were admitted from home; fewer NB-PC had diabetes (19% versus 31%,P= 0.0469), although the intensive care unit admission data were similar. Anaerobes were identified in 57% of the bacteremia cases from the NB-PC group by conventional methods:Bacteroidesspp. (30%),Clostridium(11%), andFusobacteriumspp. (8%). Final identification of the NB-PC pathogen was delayed by 2 days (P< 0.01) versus the PB-PC group. The sources of bacteremia were more frequently unknown for the NB-PC group (32% versus 11%,P< 0.01) and of pelvic origin (5% versus 0.1%,P< 0.01) compared to urine (31% versus 9%,P< 0.01) for the PB-PC patients. Fewer NB-PC patients received effective treatment before (68% versus 84%,P= 0.017) and after BCID results (82% versus 96%,P= 0.0048). The median LOS was similar (7 days), but more NB-PC patients died from infection (26% versus 8%,P< 0.01). Our findings affirm the need for the inclusion of anaerobes in BioFire BCID or other rapid diagnostic platforms to facilitate the prompt initiation of effective therapy for bacteremia.

scholarly journals Impact of Direct From Blood Culture Identification of Pathogens Paired With Antimicrobial Stewardship Interventions in a Pediatric Hospital

2021 ◽  
Vol 26 (8) ◽  
pp. 802-808
Author(s):  
Lauren M. Puckett ◽  
Poonam Rajkotia ◽  
Lisa Coppola ◽  
Lori Baumgartner ◽  
Amity L. Roberts ◽  
...  
Keyword(s):  
Blood Culture ◽  
Positive Blood Culture ◽  
Pediatric Patients ◽  
Clinical Decision Making ◽  
Blood Cultures ◽  
Improvement Project ◽  
Maldi Tof ◽  
Culture Identification ◽  
Contaminated Blood ◽  
Organism Identification

OBJECTIVE Identification of organisms directly from positive blood culture by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has the potential for improved clinical outcomes through earlier organism identification and shorter time to appropriate clinical intervention. The uses of this technology in pediatric patients and its impact in this patient population have not been well described. METHODS Direct from positive blood culture organism identification via MALDI-TOF was implemented in September 2019. A quality improvement project was performed to assess its impact on admissions for contaminant blood cultures and time to effective and optimal antimicrobials and clinical decision-making. A pre- and post-implementation retrospective review for consecutive September through February time periods, was conducted on patients with positive monomicrobial blood cultures. Statistics were evaluated using Mann-Whitney U and χ2 tests. RESULTS One hundred nineteen patients with 131 unique blood cultures (65 in pre- and 66 in post-implementation) were identified. Time to identification was shorter, median 35.4 hours (IQR, 22.7–54.3) versus 42.3 hours (IQR, 36.5–49) in post- and pre-groups, respectively (p = 0.02). Patients were less likely to be admitted for a contaminated blood culture in the post-implementation, 26% versus 11% in the pre-implementation (p = 0.03) group. In patients treated for bacteremia, there was a shorter time to optimal therapy from Gram stain reporting in the post-implementation (median 42.7 hours [IQR, 27.2–72]) versus pre-implementation (median 60.8 hours [IQR, 42.9–80.6]) (p = 0.03). CONCLUSIONS Direct from positive blood culture identification by MALDI-TOF decreased time to effective and optimal antimicrobials and decreased unnecessary admission in pediatric patients for contaminated blood cultures.

Neisseria meningitidis Bacteremia in Children: Quantitation of Bacteremia and Spontaneous Clinical Recovery Without Antibiotic Therapy

PEDIATRICS ◽  
1987 ◽  
Vol 80 (1) ◽  
pp. 63-67 ◽  
Author(s):  
T. Dennis Sullivan ◽  
Leonard J. LaScolea
Keyword(s):  
Blood Culture ◽  
Antibiotic Therapy ◽  
Neisseria Meningitidis ◽  
Invasive Disease ◽  
Blood Cultures ◽  
Negative Blood Culture ◽  
Clinical Recovery ◽  
Oral Amoxicillin ◽  
Occult Bacteremia ◽  
The Relationship

The relationship between the magnitude of bacteremia due to Neisseria meningitidis and the clinical diagnosis was determined for 43 children who had fever in the presence or absence of focal signs of infection. Bacteremia was quantitated by the previously described procedure using heparinized blood (0.2 to 1.0 mL). Additionally, blood was cultured by means of the radiometric Bactec technique. Seventeen patients had meningitis, 12 had meningococcemia, 13 had unsuspected or "occult" bacteremia, and five had other diagnoses. "Occult" bactermia was diagnosed initially in four patients, but subsequently meningitis was diagnosed. All 13 patients with 500 or more organisms per milliliter had meningitis or meningococcemia in contrast to 12 (55%) of 22 patients with less than 500 organisms per milliliter (P ≤ .0035). Only 18 (42%) of these patients bacteremic with N meningitidis presented with petechiae or purpura. All 13 children with occult bacteremia were sent home after blood cultures were obtained; six of the 13 received a regimen of oral amoxicillin for otitis media. At reexamination (interval 16 to 119 hours) four had meningitis, seven were clinically improved (afebrile, negative blood culture, without invasive disease), and two were still mildly febrile with negative blood culture. Three of these bacteremic children experienced spontaneous clinical and bacteriologic resolution without antibiotic treatment. This has not been previously reported.

scholarly journals 653. Direct Identification of Microorganisms in Positive Blood Cultures by the BioFire® FilmArray® Blood Culture Identification Panel Leads to Faster Optimal Antibiotic Therapy: A Before–After Study

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S428-S429
Author(s):  
Jessica Agnetti ◽  
Andrea C Büchler ◽  
Michael Osthoff ◽  
Fabrice Helfenstein ◽  
Vladimira Hinic ◽  
...  
Keyword(s):  
Blood Culture ◽  
Antibiotic Therapy ◽  
Censored Data ◽  
Blood Cultures ◽  
Empiric Antibiotic Therapy ◽  
Study Endpoint ◽  
Pathogen Identification ◽  
Optimal Therapy ◽  
Identification Method ◽  
Culture Identification

Abstract Background Rapid pathogen identification from positive blood cultures may help optimize empiric antibiotic therapy quickly by reducing unnecessary broad spectrum antibiotic use and may improve patient outcomes. The BioFire® FilmArray® Blood Culture Identification Panel 1 (BF-FA-BCIP) identifies 24 pathogens directly from positive blood cultures without subculture. 3 resistance genes are included. We aimed to compare the time to optimal antibiotic therapy between BF-FA-BCIP and conventional identification. Methods We performed a single-center retrospective case-control before-after study of 386 cases (November 2018 to October 2019) with BF-FA-BCIP compared to 414 controls (August 2017 to July 2018) with conventional identification. The primary study endpoint was the time from blood sampling to implementation of optimal antimicrobial therapy. Secondary endpoints were time to effective therapy, length of hospital stay, and in-hospital and 30-day mortality. Outcomes were assessed using cause-specific Cox Proportional Hazard models and logistic regressions. Results We included 800 patients with comparable baseline characteristics. Main sources of blood stream infection (BSI) were urinary tract infection and intra-abdominal infection (19.2% vs. 22.0% and 16.8% vs. 15.7% for case and control groups, respectively). Overall, 212 positive blood cultures were considered as contaminations. Identification results were available after a median of 21.9 hours by the BF-FA-BCIP and 44.3 hours by the conventional method. Patients with BF-FA-BCIP received the optimal therapy after a median of 25.5 hours (95%CI 21.0 - 31.2) as compared to 45.7 hours (95%CI 37.7 - 51.2) in the control group (Figure 1). We found no effect of the identification method on secondary outcomes. Kaplan-Meier curve representing the probability of implementing the optimal therapy at any given time according to the identification method (Standard vs. BF-FA-BCIP). Shaded ribbons represent the 95 % confidence interval (CI). The vertical dashes represent censored data. The vertical dotted lines represent the median time, i.e. the time at which 50 % of the patients obtained the optimal therapy, for the two methods. Median (95 % CI) time to optimal therapy is 45.7 (37.7 - 51.4) hours with the Standard method and 25.5 (21.0- 31.2) hours with Biofire. The tables below the curves present the numbers expecting optimal therapy according to the bacteria identification method, as well as the number of censored data in parenthesis. Panel A shows data from 0 to 900 hours. Panel B shows the data from 0 to 90 hours to better visualize how the probability to implement optimal therapy varies in the first 72 hours. Conclusion In conclusion, rapid pathogen identification by BF-FA-BCIP was associated with an almost 24h earlier initiation of the optimal antibiotic therapy in BSI. However, the overall benefit for individual patients seems to be limited. Future studies should assess the cost-effectiveness and impact on the prevention of antibiotic resistance using this diagnostic approach. Disclosures All Authors: No reported disclosures

P1506Prolonged and recurrent hospital admissions predict risk of cardiac implantable electronic device infections in hospitalized patients with bacteriaemia

EP Europace ◽  
2020 ◽  
Vol 22 (Supplement_1) ◽  
Author(s):  
A F Esteves ◽  
R Marinheiro ◽  
L Parreira ◽  
D Mesquita ◽  
M Fonseca ◽  
...  
Keyword(s):  
Infective Endocarditis ◽  
Left Ventricle ◽  
Hospital Stay ◽  
Hospital Admissions ◽  
Electronic Device ◽  
Length Of Hospital Stay ◽  
Blood Cultures ◽  
Hospitalized Patients ◽  
P Value ◽  
Duke Criteria

Abstract Background As the use of Cardiac Implantable Electronic Devices (CIED) is expanding, the burden of device-related infections, particularly infectious endocarditis, is also increasing. Furthermore, with the increase in life expectancy, these devices are being implanted in patients who are older, with more serious co-morbidities and who are frequently hospitalized. Purpose To assess incidence and predisposing factors for infective endocarditis (IE) in hospitalized patients with CIED and nosocomial bacteraemia. Methods We performed a retrospective analysis of all hospitalized patients with CIED and positive blood cultures admitted to the Cardiology department between January 2012 and February 2019. Endocarditis was defined according to modified Duke criteria. We analyzed clinical parameters, device- and procedure-related characteristics, length of hospital stay and hospitalizations in the previous year. Results 25 patients had positive blood cultures, 4 patients (16.0%) were diagnosed with infective endocarditis (median age 59.25 years, 75.0% male). Patients characteristics are displayed in the Table. In univariable analysis, the number and presence of hospitalizations in the previous year and the length of hospital stay was significantly associated with the possibility of endocarditis (respectively, OR 3.411, 95% CI 1.164-9.998, p-value 0.025; OR 18.000, 95% CI 1.375-235.686, p-value 0.028; and OR 1.047, 95% IC 1.001-1.096, p-value 0.046). Conclusion In this group of patients with positive blood cultures during hospitalization, the possibility of CIED infection was predicted by the length of hospital stay and the presence and number of hospitalizations in the previous year. With CIED-IE Without CIED-IE p-value Age in years, median (IQR) 63 (16) 76 (16) 0.002 Heart failure, n (%) 4 (100%) 10 (47.6%) 0.105 LVEF in %, median (IQR) 21 (9) 51 (30) 0.008 LV dilation, n (%) 4 (100%) 8 (38.1%) 0.039 Device revision/upgrade/substitution, n (%) 2 (50.0%) 6 (28.57%) 0.570 LOS in days, median (IQR) 58.5 (83) 20 (15) 0.004 Hospital admissions in the previous year, n (%) 3 (75.0%) 3 (14.3%) 0.031 No. of hospital admissions in the previous year, mean (standard deviation) 1.67 (1.528) 0.29 (0.784) 0.005 Use of central venous access, n (%) 4 (100%) 4 (19.05%) 0.008 LOS – Length of Stay; LV – Left Ventricle; LVEF – Left Ventricle Ejection Fraction

Risk factors and clinical outcomes associated with blood culture contamination

2021 ◽  
pp. 1-7
Author(s):  
Justin M. Klucher ◽  
Kevin Davis ◽  
Mrinmayee Lakkad ◽  
Jacob T. Painter ◽  
Ryan K. Dare
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Blood Culture ◽  
Hospital Mortality ◽  
Clinical Outcomes ◽  
Tertiary Care ◽  
Blood Cultures ◽  
Hospital Charges ◽  
Patient Specific ◽  
Contaminated Blood

Abstract Objective: To determine patient-specific risk factors and clinical outcomes associated with contaminated blood cultures. Design: A single-center, retrospective case-control risk factor and clinical outcome analysis performed on inpatients with blood cultures collected in the emergency department, 2014–2018. Patients with contaminated blood cultures (cases) were compared to patients with negative blood cultures (controls). Setting: A 509-bed tertiary-care university hospital. Methods: Risk factors independently associated with blood-culture contamination were determined using multivariable logistic regression. The impacts of contamination on clinical outcomes were assessed using linear regression, logistic regression, and generalized linear model with γ log link. Results: Of 13,782 blood cultures, 1,504 (10.9%) true positives were excluded, leaving 1,012 (7.3%) cases and 11,266 (81.7%) controls. The following factors were independently associated with blood-culture contamination: increasing age (adjusted odds ratio [aOR], 1.01; 95% confidence interval [CI], 1.01–1.01), black race (aOR, 1.32; 95% CI, 1.15–1.51), increased body mass index (BMI; aOR, 1.01; 95% CI, 1.00–1.02), chronic obstructive pulmonary disease (aOR, 1.16; 95% CI, 1.02–1.33), paralysis (aOR 1.64; 95% CI, 1.26–2.14) and sepsis plus shock (aOR, 1.26; 95% CI, 1.07–1.49). After controlling for age, race, BMI, and sepsis, blood-culture contamination increased length of stay (LOS; β = 1.24 ± 0.24; P < .0001), length of antibiotic treatment (LOT; β = 1.01 ± 0.20; P < .001), hospital charges (β = 0.22 ± 0.03; P < .0001), acute kidney injury (AKI; aOR, 1.60; 95% CI, 1.40–1.83), echocardiogram orders (aOR, 1.51; 95% CI, 1.30–1.75) and in-hospital mortality (aOR, 1.69; 95% CI, 1.31–2.16). Conclusions: These unique risk factors identify high-risk individuals for blood-culture contamination. After controlling for confounders, contamination significantly increased LOS, LOT, hospital charges, AKI, echocardiograms, and in-hospital mortality.

scholarly journals 1464. Adjuvant Systemic Steroid Therapy and Length of Hospital Stay in Pneumonia Patients: A Retrospective Cohort Study in a Community Hospital

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S733-S734
Author(s):  
Rattanaporn Mahatanan
Keyword(s):  
Hospital Stay ◽  
Steroid Therapy ◽  
Subgroup Analysis ◽  
Community Hospital ◽  
Length Of Hospital Stay ◽  
Hospitalized Patients ◽  
Systemic Steroid ◽  
Inpatient Mortality ◽  
Copd Patients ◽  
Class Iv

Abstract Background Pneumonia is a leading cause of morbidity and mortality worldwide resulting in a substantial healthcare expenditure. Antimicrobial agents are the main treatment. Recent studies showed the benefits of steroid therapy as an adjuvant therapy for patients with pneumonia; however, the overall evidence is still controversial. Methods Electronic medical records of hospitalized patients (age &gt;18) at a community hospital in a rural Maine with the discharge diagnosis of pneumonia in 2015 and 2016 were reviewed. Demographics, comorbidities, physical examination, initial laboratory, and Pneumonia Severity Index (PSI) were collected for each patient. The exposure was a systemic steroid administered by either oral or intravenous. The outcomes included length of hospital stay (LOS), inpatient mortality, and transfer to tertiary care center. Competing-risks regression was utilized to examine the association between steroid and LOS. Multivariable logistic regression analysis adjusted for propensity score was used for other outcomes. Results A total of 414 patients were included. 277(63%) patients received systemic steroids. Overall, steroid use was significantly associated with shorter LOS (HR 1.26, 95%CI 1.03-1.54, p=0.02) and decrease inpatient mortality (OR 0.11, 95%CI 0.03-0.45, p&lt; 0.01). In subgroup analysis, steroid associated with shorter LOS only in patients with PSI class IV (HR 1.38, 95%CI 1.02-1.89, p=0.04) and PSI class V (HR 2.04, 95%CI 1.11-3.74, p=0.02). There was an association of steroid and shorter LOS in subgroup of COPD patients (HR 1.42, 95%CI 1.02-1.97, p=0.03). Table 1: The baseline characteristics of hospitalized patients with a diagnosis of pneumonia who received steroid vs non-steroid Figure 1: Subgroup analysis the effect of steroid and lenght of hospital stay (LOS) Conclusion Our study concluded that adjuvant steroid therapy associated with a decrease in length of hospital stay and improved inpatient mortality in hospitalized pneumonia patients. Steroid was most beneficial to those with severe pneumonia (PSI class IV-V) and COPD patients. Disclosures All Authors: No reported disclosures

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