scholarly journals Influence of β-Lactam Infusion Strategy on Acute Kidney Injury

2017 ◽  
Vol 61 (10) ◽  
Author(s):  
Sarah E. Cotner ◽  
W. Cliff Rutter ◽  
Donna R. Burgess ◽  
Katie L. Wallace ◽  
Craig A. Martin ◽  
...  

ABSTRACT Limited literature is available assessing nephrotoxicity with prolonged β-lactam infusions. This study compared the incidence of acute kidney injury (AKI) associated with a prolonged β-lactam infusion or an intermittent infusion. This was a retrospective, matched-cohort study at an academic medical center from July 2006 to September 2015. Adult patients who received piperacillin-tazobactam (TZP), cefepime (FEP), or meropenem (MEM) for at least 48 h were evaluated. Patients were excluded for preexisting renal dysfunction or pregnancy. The primary outcome was difference in incidence of AKI evaluated using the RIFLE (risk, injury, failure, loss, and end-stage) criteria. Patients in the intermittent group were matched 3:1 to patients in the prolonged-infusion group based on the following: β-lactam agent, age, gender, Charlson comorbidity index, baseline creatinine clearance, hypotension, receipt of vancomycin, and treatment in an intensive care unit. A total of 2,390 patients were included in the matched analysis, with 1,700 receiving intermittent infusions and 690 receiving prolonged infusion. The incidence of AKI was similar in the prolonged-infusion group to that in the intermittent-infusion group (21.6% versus 18.6%; P = 0.1). After multivariate regression, prolonged infusion was not associated with increased odds of AKI (odds ratio [OR], 1.07; 95% confidence interval [95% CI], 0.83 to 1.39). Independent predictors of AKI included TZP therapy, concomitant nephrotoxins, hypotension, and heart failure. Although AKIs were numerically more common in patients receiving prolonged β-lactam infusions than those receiving intermittent infusions, prolonged infusion was not an independent risk factor for AKI.

2017 ◽  
Vol 29 (5) ◽  
pp. 292-298 ◽  
Author(s):  
Brianne M. Ritchie ◽  
Beth A. Hirning ◽  
Craig A. Stevens ◽  
Steven A. Cohen ◽  
Jeremy R. DeGrado

2016 ◽  
Vol 30 (2) ◽  
pp. 209-213 ◽  
Author(s):  
Vincent Peyko ◽  
Samantha Smalley ◽  
Henry Cohen

Purpose: To prospectively evaluate the observed incidence of acute kidney injury (AKI) in adult patients receiving the combination of piperacillin-tazobactam and vancomycin versus the combination of cefepime or meropenem and vancomycin for greater than 72 hours. Methods: This was a prospective, open-label cohort study at a community academic medical center involving adult patients over a 3-month time period who received either the combination of piperacillin-tazobactam and vancomycin or the combination of cefepime or meropenem and vancomycin for greater than 72 hours. The patients were evaluated for AKI, defined using specific criteria introduced by Kidney Disease: Improving global outcomes (KDIGO) acute kidney injury work group in 2012. Results: A total of 85 patients receiving either antimicrobial combination were evaluated for AKI. The incidence of AKI was significantly higher in the piperacillin-tazobactam and vancomycin group (37.3%) compared with the cefepime or meropenem and vancomycin group (7.7%; χ2 = 7.80, P = .005). Conclusion: The result of this study suggests that the risk of developing AKI is increased in patients receiving the combination of piperacillin-tazobactam and vancomycin versus those receiving the combination of cefepime or meropenem and vancomycin.


Author(s):  
John R. Lee ◽  
Jeffrey Silberzweig ◽  
Oleh Akchurin ◽  
Mary E. Choi ◽  
Vesh Srivatana ◽  
...  

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S667-S668
Author(s):  
Ann-Marie Idusuyi ◽  
Maureen Campion ◽  
Kathleen Belusko

Abstract Background The new ASHP/IDSA consensus guidelines recommend area under the curve (AUC) monitoring to optimize vancomycin therapy. Little is known about the ability to implement this recommendation in a real-world setting. At UMass Memorial Medical Center (UMMMC), an AUC pharmacy to dose protocol was created to manage infectious diseases (ID) consult patients on vancomycin. The service was piloted by the pharmacy residents and 2 clinical pharmacists. The purpose of this study was to determine if a pharmacy to dose AUC protocol can safely and effectively be implemented. Methods A first-order kinetics calculator was built into the electronic medical record and live education was provided to pharmacists. Pharmacists ordered levels, wrote progress notes, and communicated to teams regarding dose adjustments. Patients were included based upon ID consult and need for vancomycin. After a 3-month implementation period, a retrospective chart review was completed. Patients in the pre-implementation group were admitted 3 months prior to AUC pharmacy to dose, had an ID consult and were monitored by trough (TR) levels. The AUC group was monitored with a steady state peak and trough level to calculate AUC. The primary outcome evaluated time to goal AUC vs. time to goal TR. Secondary outcomes included number of dose adjustments made, total daily dose of vancomycin, and incidence of nephrotoxicity. Results A total of 64 patients met inclusion criteria, with 37 patients monitored by TR and 27 patients monitored by AUC. Baseline characteristics were similar except for weight in kilograms (TR 80.0 ±25.4 vs AUC 92.0 ±26.7; p=0.049). The average time to goal AUC was 4.13 (±2.08) days, and the average time to goal TR was 4.19 (±2.30) days (p=0.982). More dose adjustments occurred in the TR group compared to the AUC (1 vs 2; p=0.037). There was no difference between the two groups in dosing (TR 15.8 mg/kg vs AUC 16.4 mg/kg; p=0.788). Acute kidney injury occurred in 5 patients in the AUC group and 11 patients in the TR group (p=0.765). Conclusion Fewer dose adjustments and less nephrotoxicity was seen utilizing an AUC based protocol. Our small pilot has shown that AUC pharmacy to dose can be safely implemented. Larger studies are needed to evaluate reduction in time to therapeutic goals. Disclosures All Authors: No reported disclosures


2016 ◽  
Vol 36 (suppl_1) ◽  
Author(s):  
Michael Ashamalla ◽  
Justin Pieper ◽  
Daniel Sedhom ◽  
Neil Yager ◽  
Mikhail Torosoff

Background: There is conflicting evidence concerning the obesity paradox in stroke patients. We sought to examine the relationship between gender, BMI, and prevalence of comorbidities in patients with non-hemorrhagic stroke. Materials and Methods: Retrospective chart review was performed in 996 consecutive patients treated for non-hemorrhagic stroke at a single academic medical center. Patients were divided according to gender and specific BMI groups according to the National Institute of Health. This study was approved by the institutional IRB. Results: Patients with BMI from 0-18.5 and 18.5-24.9 were more likely to be female (63.2% and 58.4% p<.05). Whereas patients with BMI over 25-30 and 30-35 were more likely to be male (60.82% and 59.2% p<.05). Morbidly obese patients (BMI>35) were equally likely to be men or women. In men higher BMI correlated with presentation at younger age. Diabetes was most prevalent in patients with BMI over 35 (40% males, 44% females, p<.05). In females, HTN was associated with BMI 30-34.5 and 35+ (80.5% and 73.3%, P<.05). Males showed a similar though non-significant trend. The prevalence of end stage renal disease, systemic atherosclerosis, and PVD was not significantly correlated with BMI in either gender. Conclusion: Gender and BMI significantly affect associated comorbidities in patients with non-hemorrhagic stroke, possibly suggestive of unique gender specific disease mechanisms. Additional studies investigating the effect of gender and BMI on diagnostic evaluation and treatment of patients with non-hemorrhagic stroke are warranted.


2019 ◽  
Vol 33 (6) ◽  
pp. 774-778 ◽  
Author(s):  
Eric R. Gregory ◽  
Donna R. Burgess ◽  
Sarah E. Cotner ◽  
Jeremy D. VanHoose ◽  
Alexander H. Flannery ◽  
...  

Due to the inconsistent correlation of vancomycin trough concentrations with 24-hour area under the curve (AUC) and a desire to reduce rates of vancomycin-associated acute kidney injury, an institutional guideline was implemented by the Antimicrobial Stewardship Team in September 2017 to monitor vancomycin using AUC. Three stages were utilized to organize the process: preparation, implementation, and evaluation. The preparation stage was used to present literature to key stakeholders, and pharmacy meetings focused on the development of a dosing and monitoring guideline. Along with institution-wide education, the implementation stage included information technology development and support. The evaluation stage was comprised of quality improvement and clinical research. Future plans include dissemination of the results and analyses. Numerous lessons were learned due to barriers experienced during the process, but the transition was successful.


2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S575-S575
Author(s):  
Phillip Wagner ◽  
Jon Arnold ◽  
Kathleen R Sheridan

Abstract Background IDSA guidelines recommend the usage of a loading dose when using vancomycin for seriously ill patients to rapidly achieve adequate trough concentrations. While the relationship between vancomycin and nephrotoxicity is the focus of many studies, and with the strength of that relationship still debated, few studies have examined the relationship between vancomycin loading doses and nephrotoxicity. Methods We performed a retrospective cohort study examining vancomycin dosing for internal medicine teaching services’ patients over the 2014–15 academic year at one academic medical center. We generated a list of all hospitalized patients aged 18–85 who received vancomycin and were admitted to a teaching service. Patient data were extracted from the inpatient EMR via manual chart review. Patients were excluded if their pretreatment calculated glomerular filtration rate (GFR) was less than 50 mL/minute, if they received less than three doses of vancomycin, or if their initial dose was subtherapeutic (<10 mg/kg). Nephrotoxicity was determined by 7-day acute kidney injury (AKI) rate. Patients in the loading dose (>20 mg/kg) cohort were compared with those in the standard dose cohort (10–20 mg/kg). Our primary modeling used multi-variable logistic regression with AKI as our outcome of interest. Results 438 of the initial 804 patients were enrolled. The loading dose (n = 365, 83%) and standard dosing (n = 73, 17%) cohorts were not significantly different regarding demographics, GFR, nephrotoxic drug exposure, total vancomycin received, trough levels, or comorbidities, and were only significantly different regarding body mass index (BMI). The 7-day AKI rate was not significantly different between the two arms (6.3% in the standard dosing arm and 8.2% in the loading dose arm P = 0.6). AKI rate significantly increased in both arms in the setting of concurrent piperacillin–tazobactam and vancomycin administration (OR 2.5, P = .04). There was no association between BMI and AKI. Conclusion Few studies have examined the relationship between nephrotoxicity and vancomycin loading doses. The results of this study provide evidence that the use of loading doses is not significantly associated with increased 7-day AKI rate. Disclosures All authors: No reported disclosures.


2016 ◽  
Vol 23 (6) ◽  
pp. e1768-e1773 ◽  
Author(s):  
Benjamin Hohlfelder ◽  
David W. Kubiak ◽  
Jeremy R. Degrado ◽  
David P. Reardon ◽  
Paul M. Szumita

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S413-S413
Author(s):  
Sean Christensen ◽  
Russell J Benefield

Abstract Background The reported incidence of intravenous (IV) vancomycin-associated acute kidney injury (AKI) is highly variable. The primary purpose of this study was to determine the baseline rate of IV vancomycin-associated AKI at the University of Utah Hospital (UUH) and Huntsman Cancer Institute (HCI) with the goal of identifying areas of focus for future quality improvement (QI) initiatives. Methods This was a retrospective descriptive study of patients ≥ 18 years old, hospitalized at UUH or HCI, who received at least daily scheduled doses of IV vancomycin for ≥ 72 hours between November 1, 2018 and October 31, 2019. AKI was defined using the serum creatinine (SCr) aspect of the AKIN criteria. Variables assessed for association with AKI included demographic characteristics, hospital and unit where vancomycin was initiated, duration of therapy, administration method, and concomitant nephrotoxic medications. Multivariable logistic regression was used to identify variables independently associated with AKI as potential QI interventions. Results One thousand eighty-six patients were included. Baseline patient characteristics are listed in Table 1. Throughout our system, 19.7% of patients experienced an AKI while receiving vancomycin. Univariate comparisons are listed in Table 1. Variables independently associated with AKI on multivariable analysis included total body weight (HR 1.02, 95% CI [1.01-1.03]), concomitant administration of calcineurin inhibitors or vasopressors (HR 1.97, 95% CI [1.18-3.29] and HR 1.68, 85% CI [1.07-2.64] respectively), duration of vancomycin therapy (HR, 1.04, 95% CI [1.02-1.06]), and administration in specific units (see Table 1). Administration of vancomycin by continuous infusion showed a protective effect (HR 0.13, 95% CI [0.02-1.12]) as did baseline SCr and total daily dose of vancomycin (HR 0.76, 95% CI [0.61-0.94] and HR 0.63, 95% CI [0.51-0.78] respectively); the latter two are likely a reflection of the study design. The median hospital length of stay in days was longer in individuals experiencing an AKI (19 vs 10, p &lt; 0.0001). Table 1. Univariate and Multivariate Associations with Vancomycin-Associated Acute Kidney Injury aFor continuous variables, the HR reported is for each unit increase Table 1. (Continued) Univariate and Multivariate Associations with Vancomycin-Associated Acute Kidney Injury aFor continuous variables, the HR reported is for each unit increase Conclusion Several variables associated with vancomycin-associated AKI within our health system were identified. Future QI interventions to improve vancomycin safety will be pursued. Disclosures Russell J. Benefield, PharmD, Paratek Pharmaceuticals (Grant/Research Support)


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