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  • 1
    Online Resource
    Online Resource
    Elsevier BV ; 2022
    In:  International Journal of Antimicrobial Agents Vol. 59, No. 5 ( 2022-05), p. 106583-
    In: International Journal of Antimicrobial Agents, Elsevier BV, Vol. 59, No. 5 ( 2022-05), p. 106583-
    Type of Medium: Online Resource
    ISSN: 0924-8579
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2022
    detail.hit.zdb_id: 2011829-6
    SSG: 15,3
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  • 2
    In: Clinical Pharmacokinetics, Springer Science and Business Media LLC, Vol. 61, No. 7 ( 2022-07), p. 929-953
    Type of Medium: Online Resource
    ISSN: 0312-5963 , 1179-1926
    RVK:
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2043781-X
    SSG: 15,3
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  • 3
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2019
    In:  Open Forum Infectious Diseases Vol. 6, No. Supplement_2 ( 2019-10-23), p. S670-S671
    In: Open Forum Infectious Diseases, Oxford University Press (OUP), Vol. 6, No. Supplement_2 ( 2019-10-23), p. S670-S671
    Abstract: Contemporary strategies can be leveraged to predict antimicrobial overuse, yet little information is gained on the appropriateness of antibiotics prescribed. Classifying appropriateness is complicated by the lack of a standard definition for appropriateness. Thus, we created and implemented a novel ‘antibiotic never event’ (NE) framework to systematically classify the most inappropriate usages of vancomycin and correlated these NE to abnormal consumption trends (i.e., antibiotic outbreaks). Methods Vancomycin use was categorized by an algorithm using data query from the electronic medical records. Extracted data included vancomycin use, relevant patient demographics, and microbiological data. Electronic classifications placed each vancomycin therapy into type 1 (use for non-susceptible organism after susceptibility finalization) or type 2 (use exceeding 48h after susceptibility report when a safe de-escalation is possible) NE. Patients were categorized as cases or controls (no NE) at Northwestern Memorial Hospital (NM) and Henry Ford Hospital (HF) between January 2014 and October 2017. A manual chart review was performed. Sensitivity (SEN), specificity (SPEC), PPV, and NPV were calculated for NE prediction. Vancomycin use was quantified during the same period. Linear models with prediction intervals (PI) were generated to identify potential outbreaks, which were linked to monthly NE counts defined as a binary factor. Results A total of 220 NE cases were electronically identified for vancomycin at NM (n = 197) and HF (n = 23). Random cases were matched 1:1 (NM = 200) and 1:5 (HF = 115) to controls for manual review. At NM and HF, 35 and 24 true positives were identified, respectively. Thus, overall SEN and SPEC were 93.7% and 75.1% and PPV and NPV were 45.7% and 98.1%, respectively. Linear models revealed 11 potential outbreak periods at HF and 5 at NM. A PI of 80% showed a combined SEN below 10% and SPEC above 90%, respectively. Conclusion The methodology was generalizable across two centers. In the pilot review, our method was highly sensitive and an effective screening tool for NE identification. Antibiotic consumption trends did not correlate with NE. In summary, the NE classification was sensitive in assessment of antibiotic appropriateness, whereas consumption alone does not predict NE. Disclosures All authors: No reported disclosures.
    Type of Medium: Online Resource
    ISSN: 2328-8957
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2019
    detail.hit.zdb_id: 2757767-3
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  • 4
    In: Open Forum Infectious Diseases, Oxford University Press (OUP), Vol. 6, No. Supplement_2 ( 2019-10-23), p. S483-S483
    Abstract: Vancomycin and piperacillin–tazobactam (VAN+TZP) are two of the most commonly utilized antibiotics in the hospital setting and are reported in clinical studies to increase acute kidney injury (AKI). However, no clinical study has demonstrated that synergistic AKI occurs, only that serum creatinine increases with VAN+TZP. Previous preclinical work demonstrated that novel urinary biomarkers and histopathologic scores were not increased in the VAN+TZP group compared with VAN alone. The purpose of this study was to assess changes in urinary output and plasma creatinine between VAN, TZP, and VAN+TZP treatments. Methods Male Sprague–Dawley rats (n = 32) received either saline, VAN 150 mg/kg/day intravenously, TZP 1,400 mg/kg/day intraperitoneally, or VAN+TZP for 3 days. Animals were placed in metabolic cages pre-study and on drug dosing days 1–3. Urinary output, plasma creatinine, urinary biomarkers were compared daily and kidney histopathology was compared at the end of therapy between the groups. Mixed-effects, repeated-measures models were employed to assess differences between the groups. Results In the VAN-treated rats, urinary output was increased on days 1, 2 and 3 compared with baseline and saline (P 〈 0.01 for all), whereas it increased later for VAN+TZP (i.e., day 2 and 3 compared with saline, P 〈 0.001). No changes in urinary output were observed with saline and TZP alone. Plasma creatinine rose for VAN on days 1, 2, and 3 from baseline and VAN+TZP on day 3 (P 〈 0.02 for all), but no treatment group was different from saline. In the VAN-treated rats, urinary KIM-1 and clusterin were increased on days 1, 2, and 3 compared with controls (P 〈 0.001). Elevations were seen only after 3 days of treatment with VAN+TZP (P 〈 0.001 KIM-1, P 〈 0.05 clusterin). No changes in urinary biomarkers output were observed with saline and TZP alone. Histopathology was only elevated in the VAN group compared with saline (P 〈 0.002). No histopathology changes were noted with VAN+TZP. Conclusion All groups with VAN demonstrated kidney injury; however, VAN+TZP did not cause more kidney injury than VAN alone in a rat model of VIKI when using plasma creatinine, urinary output, or urinary biomarkers as outcomes. Histopathology data suggest that adding TZP did not worsen VAN-induced AKI and may even be protective. Disclosures Kevin J. Downes, MD, Merck: Grant/Research Support, Research Grant; Pfizer: Grant/Research Support.
    Type of Medium: Online Resource
    ISSN: 2328-8957
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2019
    detail.hit.zdb_id: 2757767-3
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  • 5
    In: Antimicrobial Agents and Chemotherapy, American Society for Microbiology, Vol. 66, No. 3 ( 2022-03-15)
    Abstract: Clinical studies have reported additive nephrotoxicity associated with the combination of vancomycin (VAN) and piperacillin-tazobactam (TZP). This study assessed differences in glomerular filtration rate (GFR) and urinary biomarkers between rats receiving VAN and those receiving VAN + TZP. Male Sprague-Dawley rats ( n  = 26) were randomized to receive 96 h of intravenous VAN at 150 mg/kg/day, intraperitoneal TZP at 1,400 mg/kg/day, or VAN + TZP. Kidney function was evaluated using fluorescein-isothiocyanate sinistrin and a transdermal sensor to estimate real-time glomerular filtration rate (GFR). Kidney injury was evaluated via urinary biomarkers, including kidney injury molecule-1 (KIM-1), clusterin, and osteopontin. Compared to a saline control, only rats in the VAN group showed significant declines in GFR by day 4 (−0.39 mL/min/100 g body weight; 95% confidence interval [CI] , −0.68 to −0.10; P  = 0.008). When the VAN + TZP and VAN alone treatment groups were compared, significantly higher urinary KIM-1 marginal linear predictions were observed in the VAN alone group on day 1 (18.4 ng; 95% CI, 1.4 to 35.3; P  = 0.03), day 2 (27.4 ng; 95% CI, 10.4 to 44.3; P  = 0.002), day 3 (18.8 ng; 95% CI, 1.9 to 35.8; P  = 0.03), and day 4 (23.2 ng; 95% CI, 6.3 to 40.2; P  = 0.007). KIM-1 was the urinary biomarker that most correlated with decreasing GFR on day 3 (Spearman’s rho, −0.45; P  = 0.022) and day 4 (Spearman’s rho, −0.41; P  = 0.036). Kidney function decline and increased KIM-1 were observed among rats that received VAN only but not those that received TZP or VAN + TZP. The addition of TZP to VAN does not worsen kidney function or injury in our translational rat model.
    Type of Medium: Online Resource
    ISSN: 0066-4804 , 1098-6596
    RVK:
    Language: English
    Publisher: American Society for Microbiology
    Publication Date: 2022
    detail.hit.zdb_id: 1496156-8
    SSG: 12
    SSG: 15,3
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  • 6
    In: Antimicrobial Agents and Chemotherapy, American Society for Microbiology, Vol. 67, No. 2 ( 2023-02-16)
    Abstract: Vancomycin-induced kidney injury is common, and outcomes in humans are well predicted by animal models. This study employed our translational rat model to investigate temporal changes in the glomerular filtration rate (GFR) and correlations with kidney injury biomarkers related to various vancomycin dosing strategies. First, Sprague-Dawley rats received allometrically scaled loading doses or standard doses. Rats that received a loading dose had low GFRs and increased urinary injury biomarkers (kidney injury molecule 1 [KIM-1] and clusterin) that persisted through day 2 compared to those that did not receive a loading dose. Second, we compared low and high allometrically scaled vancomycin doses to a positive acute kidney injury control of high-dose folic acid. Rats in both the low- and high-dose vancomycin groups had higher GFRs on all dosing days than the positive-control group. When the two vancomycin groups were compared, rats that received the low dose had significantly higher GFRs on days 1, 2, and 4. Compared to low-dose vancomycin, the KIM-1 was elevated among rats in the high-dose group on dosing day 3. The GFR correlated most closely with the urinary injury biomarker KIM-1 on all experimental days. Vancomycin loading doses were associated with significant losses of kidney function and elevations of urinary injury biomarkers. In our translational rat model, both the degree of kidney function decline and urinary biomarker increases corresponded to the magnitude of the vancomycin dose (i.e., a higher dose resulted in worse outcomes).
    Type of Medium: Online Resource
    ISSN: 0066-4804 , 1098-6596
    RVK:
    Language: English
    Publisher: American Society for Microbiology
    Publication Date: 2023
    detail.hit.zdb_id: 1496156-8
    SSG: 12
    SSG: 15,3
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  • 7
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2020
    In:  Clinical Infectious Diseases Vol. 71, No. 2 ( 2020-07-11), p. 426-432
    In: Clinical Infectious Diseases, Oxford University Press (OUP), Vol. 71, No. 2 ( 2020-07-11), p. 426-432
    Abstract: Vancomycin and piperacillin-tazobactam are 2 of the most commonly prescribed antibiotics in hospitals. Recent data from multiple meta-analyses suggest that the combination increases the risk for vancomycin-induced kidney injury when compared to alternative viable options. However, these studies are unable to prove biologic plausibility and causality as randomized controlled trials have not been performed. Furthermore, these studies define acute kidney injury according to thresholds of serum creatinine rise. Serum creatinine is not a direct indicator of renal injury, rather a surrogate of glomerular function. More reliable, specific, and sensitive biomarkers are needed to truly define if there is a causal relationship with increased toxicity when piperacillin-tazobactam is added to vancomycin. This viewpoint will explore the available evidence for and against increased acute kidney injury in the setting of vancomycin and piperacillin-tazobactam coadministration.
    Type of Medium: Online Resource
    ISSN: 1058-4838 , 1537-6591
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2020
    detail.hit.zdb_id: 2002229-3
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  • 8
    In: Journal of Neuroscience Methods, Elsevier BV, Vol. 392 ( 2023-05), p. 109867-
    Type of Medium: Online Resource
    ISSN: 0165-0270
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 1500499-5
    SSG: 12
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  • 9
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2021
    In:  Critical Care Explorations Vol. 3, No. 6 ( 2021-06), p. e0446-
    In: Critical Care Explorations, Ovid Technologies (Wolters Kluwer Health), Vol. 3, No. 6 ( 2021-06), p. e0446-
    Type of Medium: Online Resource
    ISSN: 2639-8028
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2021
    detail.hit.zdb_id: 3015728-6
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  • 10
    In: British Journal of Pharmacology, Wiley
    Abstract: Vancomycin is one of the most common antibiotics administered in the hospital setting, yet acute kidney injury is a major limiting factor. Common combinations of antibiotics with vancomycin have been reported to worsen and improve vancomycin‐induced kidney injury. We aimed to study the impact of flucloxacillin and imipenem‐cilastatin on kidney injury when combined with vancomycin in our translational rat model. Experimental Approach Male Sprague‐Dawley rats received allometrically scaled (1) vancomycin (2) flucloxacillin, (3) vancomycin+flucloxacillin, (4) vancomycin+imipenem‐cilastatin, or (5) saline for 4 days. Vancomycin was administered intravenously and flucloxacillin or imipenem‐cilastatin were administered intraperitoneally. Kidney injury was evaluated via drug accumulation and urinary biomarkers including urinary output, kidney injury molecule‐1 (KIM‐1), clusterin, and osteopontin. Relationships between vancomycin accumulation in the kidney and urinary kidney injury biomarkers were explored. Key Results Urinary output increased every study day for vancomycin+flucloxacillin; whereas in the vancomycin group it was elevated after the first dose only. In the vancomycin+flucloxacillin group, urinary KIM‐1/24h increased on all days compared to vancomycin. In the vancomycin+imipenem‐cilastatin group, urinary KIM‐1/24h was decreased on days 1 and 2 compared to vancomycin. Similar trends were observed for clusterin. More vancomycin accumulated in the kidney with vancomycin+flucloxacillin compared to vancomycin and vancomycin+imipenem‐cilastatin. The accumulation of vancomycin in the kidney tissue correlated with increasing urinary KIM‐1 (4‐parameter Hill Slope, R 2 =0.7985). Conclusion and Implications Vancomycin+flucloxacillin caused more kidney injury compared to vancomycin alone and vancomycin+imipenem‐cilastatin in a translational rat model as determined by multiple kidney injury biomarkers. The combination of vancomycin+imipenem‐cilastatin was nephroprotective.
    Type of Medium: Online Resource
    ISSN: 0007-1188 , 1476-5381
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2029728-2
    SSG: 15,3
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