scholarly journals Empiric antibiotic therapy in a child with cancer and suspected septicemia

2012 ◽  
Vol 4 (1) ◽  
pp. 2 ◽  
Author(s):  
Desiree Caselli ◽  
Olivia Paolicchi

Improved outcome in the treatment of in childhood cancer results not only from more aggressive and tailored cancer-directed therapy, but also from improved supportive therapy and treatment of life-threatening infectious complications. Prompt and aggressive intervention with empiric antibiotics has reduced the mortality in this group of patients. Physical examination, blood tests, and blood cultures must be performed, and antibiotic therapy must be administered as soon as possible. Beta-lactam monotherapy, such as piperacillin-tazobactam or cefepime, may be an appropriate empiric therapy of choice for all clinically stable patients with neutropenic fever. An anti-pseudomonal beta-lactam antibiotic plus gentamicin is recommended for patients with systemic compromise.

2002 ◽  
Vol 18 (3) ◽  
pp. 128-132 ◽  
Author(s):  
Harold J Manley ◽  
Michael A Huke ◽  
Mark A Dykstra ◽  
Angela V Bedenbaugh

Background Empiric vancomycin treatment is frequently used in hemodialysis (HD) patients because of ease of administration when methicillin-resistant Staphylococcus aureus (MRSA) infection is suspected. Differing rates of MRSA indicate that empiric antibiotic treatment should be based on a center-specific antibiogram. Objective To develop a center-specific antibiogram, evaluate antibiotic prescribing patterns, and determine areas of improvement in infection treatment. Methods The antibiogram was constructed from culture and susceptibility (C&S) data from January through December 1999. Evaluation of prescribing habits was based on 3 criteria: (1) Hospital Infection Control Practices Advisory Committee and Centers for Disease Control and Prevention guidelines; (2) vancomycin for 1 dose followed by appropriate antibiotic based on C&S results; and (3) C&S obtained with more than 1 dose of antibiotic. Results HD was provided to 161 patients during the study period. Antibiotics were empirically prescribed 104 times in 62 different patients. Cultures were obtained 122 times, and 67 different isolates were identified. Gram-positive organisms and gram-negative organisms accounted for 77.6% and 22.4% of isolates, respectively. Gram-positive organisms were identified as Staphylococcus spp. (53.8%); 17.9% of the staphylococcal isolates were MRSA strains. No isolates of vancomycin-resistant enterococcus were identified. Based on the antibiogram, empiric antibiotic therapy within our center should be 1 dose each of vancomycin and an aminoglycoside. Empiric vancomycin was used 71 times. When criterion I is used, 12 prescriptions (16.9%) were considered appropriate. When criterion II and adjustment for MRSA reported for our center were used, 46 (64.8%) vancomycin prescriptions were considered appropriate. Forty-one patients had more than 1 dose of antibiotic therapy, and 18 (43.9%) of those patients did not have C&S data obtained as prescribed by criterion III. Areas of prescribing improvement include obtaining a C&S in all suspected infections prior to empiric therapy and a more aggressive antibiotic switch based on C&S results. Conclusions Antibiograms can be used to determine appropriate empric antibiotic therapy and identify areas of improvement.


Critical Care ◽  
2021 ◽  
Vol 25 (1) ◽  
Author(s):  
Marin H. Kollef ◽  
Andrew F. Shorr ◽  
Matteo Bassetti ◽  
Jean-Francois Timsit ◽  
Scott T. Micek ◽  
...  

AbstractSevere or life threatening infections are common among patients in the intensive care unit (ICU). Most infections in the ICU are bacterial or fungal in origin and require antimicrobial therapy for clinical resolution. Antibiotics are the cornerstone of therapy for infected critically ill patients. However, antibiotics are often not optimally administered resulting in less favorable patient outcomes including greater mortality. The timing of antibiotics in patients with life threatening infections including sepsis and septic shock is now recognized as one of the most important determinants of survival for this population. Individuals who have a delay in the administration of antibiotic therapy for serious infections can have a doubling or more in their mortality. Additionally, the timing of an appropriate antibiotic regimen, one that is active against the offending pathogens based on in vitro susceptibility, also influences survival. Thus not only is early empiric antibiotic administration important but the selection of those agents is crucial as well. The duration of antibiotic infusions, especially for β-lactams, can also influence antibiotic efficacy by increasing antimicrobial drug exposure for the offending pathogen. However, due to mounting antibiotic resistance, aggressive antimicrobial de-escalation based on microbiology results is necessary to counterbalance the pressures of early broad-spectrum antibiotic therapy. In this review, we examine time related variables impacting antibiotic optimization as it relates to the treatment of life threatening infections in the ICU. In addition to highlighting the importance of antibiotic timing in the ICU we hope to provide an approach to antimicrobials that also minimizes the unnecessary use of these agents. Such approaches will increasingly be linked to advances in molecular microbiology testing and artificial intelligence/machine learning. Such advances should help identify patients needing empiric antibiotic therapy at an earlier time point as well as the specific antibiotics required in order to avoid unnecessary administration of broad-spectrum antibiotics.


2017 ◽  
Vol 4 (suppl_1) ◽  
pp. S328-S328 ◽  
Author(s):  
Alexandra Varga ◽  
Leigh Cressman ◽  
Ebbing Lautenbach ◽  
Valerie Cluzet ◽  
Pam Tolomeo ◽  
...  

Abstract Background Emergence of multidrug-resistant (MDR) Enterobacteriaceae complicates the selection of empiric antibiotic therapy. Software called Precision Antibiotic Therapy (PAT) (Teqqa, LLC; Jackson, WY) operationalizes a predictive model using patient factors to make real-time, personalized predictions of antibiotic susceptibility for each antibiotic, allowing prescribers to choose empiric therapy for patients at risk for resistant infections. The purpose of this study was to determine the performance of PAT software in identifying MDR Enterobacteriaceaebloodstream infections (BSI) as well as to determine optimal thresholds of predicted antibiotic susceptibility to choose a broader-spectrum antibiotic. Methods We conducted a retrospective cohort study including 475 unique patients with BSIs caused by Enterobacteriaceaefrom January 1, 2016 through December 31, 2016. First-line antibiotic therapy for BSI was defined as cefepime, piperacillin-tazobactam, levofloxacin, or aztreonam. Susceptibilities predicted by PAT were compared with known susceptibilities determined by routine laboratory testing. PAT thresholds for broadening antibiotics were assessed when predicted susceptibilities were 80%, 85%, 90%, and 95% using receiver-operating characteristic (ROC) curves. Performance characteristics were calculated for each threshold. Brier score calculations were then used to compare the accuracy of PAT predictions using the optimized predicted susceptibility threshold, to that of aggregate institutional susceptibility data. Results ROC curve analysis demonstrated an area under the curve of 0.82 for the 95% threshold. The sensitivity for the PAT prediction utilizing the 95% threshold was 91.7% with a specificity of 74.3%. The Brier score for the 2016 antibiogram to determine antibiotic therapy was 0.085, whereas the Brier score using PAT software was 0.071, representing a 16% improvement in accuracy. Conclusion PAT software demonstrated excellent capability to discriminate between Enterobacteriaceae BSIs resistant and susceptible to first-line therapy. A predicted susceptibility threshold of 95% should be used to indicate a need for escalation of empiric antibiotic therapy using PAT. Disclosures All authors: No reported disclosures.


Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 2773-2773
Author(s):  
Chiara Cattaneo ◽  
Erika Borlenghi ◽  
Francesca Bracchi ◽  
Liana Signorini ◽  
Alessandro Re ◽  
...  

Abstract Abstract 2773 Introduction. Infections during chemotherapy-induced aplasia are still a problem in the management of acute leukemia (AL) patients (pts), causing potentially life-threatening consequences and treatment delays. Adequate empiric antibiotic therapy is crucial for a favourable clinical evolution. In order to better define the best antimicrobial management for AL pts during different phases of treatment, we analyzed all infectious events occurring to consecutively treated AL pts at our Institute during a period of six years. Patients and Methods. Since June 2004 a program of active epidemiological surveillance is ongoing at our Institute. Data concerning infections occurring during chemotherapy-induced cytopenia in AL pts were analysed. All pts showing fever or signs/symptoms of infection underwent thorax X-ray and culture of any other fluid/drainage obtained from a suspected infection site. CT scan of thorax was performed when fever persisted >48h. An infection was considered clinically documented (CDI) when pertinent symptoms, objective signs, or diagnostic radiological findings were present and microbiologically documented (MDI) when microorganisms were isolated. Results. From June 2004 to May 2010, 210 cases of AL (154 acute myeloid leukemia [AML], 53 acute lymphoblastic leukemia [ALL], and 3 blastic plasmacytoid dendritic cell leukemia), were diagnosed and treated with at least one induction cycle followed by consolidation and with reinduction cycles in relapsing/refractory pts. Overall, 1014 chemotherapy cycles were delivered, subdivided as induction (I) (210), consolidation (C) (708) and salvage (S) (96) treatment. Overall 309 clinically documented infections (CDI) were observed (30.5%). Incidence of CDI was higher during S therapy in comparison with I or C (77.1% vs 41.9% and 20.7%, p<0.0001). Incidence of pneumonia was similar in S and I phase (18.7% vs 17.6%) and significantly higher than in C (1.8%, p<0.0001). Incidence of bloodstream infections (BSI) was similar during I and C phase (20% and 15%, p=0.09) and significantly lower than in S (54.2%, p<0.0001). MDI were diagnosed in 270/1014 cycles (26.6%). Isolates were Gram negative (G-) in 54.8%, Gram-positive (G+) in 32.6% and fungi (F, moulds only) in 2,6% of cases; in 27 cases (10%) a mixed infection was documented. Frequency of fungal infections was higher during I therapy (6.9%) than in C+S (1%, p=0.016). Epidemiological distribution of G+ and G- infections during different phases was similar, with the exception of a lower frequency of G- during I (41.7%) vs C+S (59.6%, p=0.012). Mixed infections were more frequent during I (16.7%) than C+S (7.6%, p=0.038). Overall, 297 pathogens were isolated. S. aureus (9/270, 3.3%) and coagulase-negative staphylococci (43/270, 15.9%) were more frequent during I than C+S (respectively: 6.9% vs 2%, p=0.059 and 25% vs 12.6%, p=0.02); E. coli infections (92/270, 34.1%) were predominant during C (52.5%) in comparison with I+S (25.7%, p=0.004). Enterococci (30/270, 11.1%) and P. aeruginosa infections (52/270, 19.6%) were uniformly distributed during different phases. Death occurred in 19 cases (6 and 13 during I and S, respectively). At univariate analysis, S phase (p<0.0001), P. aeruginosa and S. aureus, alone or in association with other pathogens, emerged as poor prognostic factors (p=0.002 and 0.016, respectively). Two of the 7 cases of probable aspergillosis died during I. Conclusions. The S phase has the highest infectious risk, particularly for BSI. Both prophylactic and empiric antibiotic therapy guided by epidemiological data seem warranted. In the I phase pneumonia, particularly of mycotic origin, is relatively more frequent, confirming the appropriateness of an effective antifungal prophylaxis. The C phase carries a very limited risk of life-threatening infections and a relatively high incidence of E. coli. Therefore, the need for antimicrobial and antifungal prophylaxis during C may be reconsidered. Overall the frequency of bacterial infections largely outweighs that of fungal infections and is responsible for 84% of infectious deaths. Among bacteria, P. aeruginosa ranks as the second more frequent microorganism after E. coli and carries the highest risk of death. Given its intrinsic ability of developing antibiotic resistance, it should be presently considered as the most threatening infectious agent in AL against which empiric antibiotic therapy should be tailored. Disclosures: No relevant conflicts of interest to declare.


CHEST Journal ◽  
2010 ◽  
Vol 138 (4) ◽  
pp. 856A
Author(s):  
Kyle W. Bierman ◽  
Lee E. Morrow ◽  
Joshua D. Holweger ◽  
John T. Ratelle ◽  
Mark A. Malesker

Author(s):  
S. Reisfeld ◽  
M. Paul ◽  
B. S. Gottesman ◽  
P. Shitrit ◽  
L. Leibovici ◽  
...  

2018 ◽  
Vol 103 (2) ◽  
pp. e2.43-e2
Author(s):  
Michelle Kirrane ◽  
Rob Cunney ◽  
Roisin McNamara ◽  
Ike Okafor

Appropriate choice of empiric antibiotic therapy, in line with local guidelines, improves outcome for children with infection, while reducing adverse drug effects, cost, and selection of antimicrobial resistance. Data from national point prevalence surveys showed compliance with local prescribing guidelines at our hospital was suboptimal. A team with representatives from the pharmacy, microbiology and emergency departments collaborated with prescribers to improve the quality of empiric antibiotic prescribing. The project aim was, using the ‘Model for Improvement’, to ensure ≥90% of children admitted via the Emergency Department (ED) and commenced on antibiotic therapy, have a documented indication and a choice of therapy in line with local antimicrobial guidelines.MethodResults of weekly audits of the first ten children admitted via ED and started on antibiotics were fed back to prescribers. Front line ownership techniques were used to develop ideas for change, including; regular antibiotic prescribing discussion at Monday morning handover meeting, antibiotic ‘spot quiz’ for prescribers, updates to prescribing guidelines (along with improved access and promotion of prescribing app), printed ID badge guideline summary cards, reminders and guideline summaries at point of prescribing in ED.Collection of audit data initially proved challenging, but was resolved through a series of rapid PDSA cycles. Initial support from ED consultants and other ED staff facilitated establishment of the project. Presentation of weekly run charts to prescribers fostered considerable support among consultants and non-consultant doctors (NCHDs). We saw a shift in perspective from ‘how is your project going?’ to ‘How are we doing?’.ResultsDocumentation of indication and guideline compliance increased from a median of 30% in December 2014/January 2015 to 100% consistently from February 2015 to the present. It is felt that a change in approach to antimicrobial prescribing is now embedded in our hospital culture as this improvement has remained constant through three NCHD changeovers. A comparison of 2014 Antimicrobial expenditure to 2015 figures shows a reduction in expenditure of €101,078.44.ConclusionThis project has inspired other departments to develop local QIPs and has encouraged the surgical teams to lead their own audits in antimicrobial stewardship. An improvement in other areas of antimicrobial prescribing has also been noted e.g. documentation of review date.The initiative has been shared with other hospitals throughout Ireland via presentations at the National Patient Safety Conference, Antimicrobial Awareness day and the Irish Antimicrobial Pharmacist’s Group meeting. It has also been shared at both European and international conferences. The project was a shortlisted finalist for a national healthcare excellence award and has been rolled out as part of a national quality improvement collaborative.


PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248817
Author(s):  
Anthony D. Bai ◽  
Neal Irfan ◽  
Cheryl Main ◽  
Philippe El-Helou ◽  
Dominik Mertz

Background It is unclear if a local audit would be useful in providing guidance on how to improve local practice of empiric antibiotic therapy. We performed an audit of antibiotic therapy in bacteremia to evaluate the proportion and risk factors for inadequate empiric antibiotic coverage. Methods This retrospective cohort study included patients with positive blood cultures across 3 hospitals in Hamilton, Ontario, Canada during October of 2019. Antibiotic therapy was considered empiric if it was administered within 24 hours after blood culture collection. Adequate coverage was defined as when the isolate from blood culture was tested to be susceptible to the empiric antibiotic. A multivariable logistic regression model was used to predict inadequate empiric coverage. Diagnostic accuracy of a clinical pathway based on patient risk factors was compared to clinician’s decision in predicting which bacteria to empirically cover. Results Of 201 bacteremia cases, empiric coverage was inadequate in 56 (27.9%) cases. Risk factors for inadequate empiric coverage included unknown source at initiation of antibiotic therapy (adjusted odds ratio (aOR) of 2.76 95% CI 1.27–6.01, P = 0.010) and prior antibiotic therapy within 90 days (aOR of 2.46 95% CI 1.30–4.74, P = 0.006). A clinical pathway that considered community-associated infection as low risk for Pseudomonas was better at ruling out Pseudomonas bacteremia with a negative likelihood ratio of 0.17 (95% CI 0.03–1.10) compared to clinician’s decision with negative likelihood ratio of 0.34 (95% CI 0.10–1.22). Conclusions An audit of antibiotic therapy in bacteremia is feasible and may provide useful feedback on how to locally improve empiric antibiotic therapy.


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