Abstract
Background
Beta-lactam neurotoxicity is a relatively uncommon yet clinically significant adverse effect in critically ill patients. This study sought to define the incidence of neurotoxicity, derive a prediction model for beta-lactam neurotoxicity, and then validate the model in an independent cohort of critically ill adults.
Methods
This retrospective cohort study evaluated critically ill patients treated with ≥ 48 h of cefepime, piperacillin/tazobactam, or meropenem. Two separate cohorts were created: a derivation cohort and a validation cohort. Patients were screened for beta-lactam neurotoxicity by using search terms and diagnosis codes, followed by clinical adjudication using a standardized adverse event scoring tool. Multivariable regression models and least absolute shrinkage and selection operator were used to identify surrogates for neurotoxicity and develop a multivariable prediction model.
Results
The overall incidence of beta-lactam neurotoxicity was 2.6% (n/N = 34/1323) in the derivation cohort and 2.1% in the validation cohort (n/N = 16/767). The final multivariable neurotoxicity assessment tool included weight, Charlson comorbidity score, age, and estimated creatinine clearance as predictors of neurotoxicity. Incidence of neurotoxicity reached 4% in those with a body mass index more than 30 kg/m2. Use of the candidate variables in the neurotoxicity assessment tool suggested that a score more than 35 would identify a patient at high risk for neurotoxicity with 75% sensitivity and 54% specificity.
Conclusions
In this single center cohort of critically ill patients, beta-lactam neurotoxicity was demonstrated less frequently than previously reported. We identified obesity as a novel risk factor for the development of neurotoxicity. The prediction model needs to be further refined before it can be used in clinical practice as a tool to avoid drug-related harm.
Similar content being viewed by others
References
Boschung-Pasquier L, Atkinson A, Kastner LK, Banholzer S, Haschke M, Buetti N, et al. Cefepime neurotoxicity: thresholds and risk factors. A retrospective cohort study. Clin Microbiol Infect. 2020;26:333–9.
Fugate JE, Kalimullah EA, Hocker SE, Clark SL, Wijdicks EF, Rabinstein AA. Cefepime neurotoxicity in the intensive care unit: a cause of severe, underappreciated encephalopathy. Crit Care. 2013;17:R264.
Chaïbi K, Chaussard M, Soussi S, Lafaurie M, Legrand M. Not all β-lactams are equal regarding neurotoxicity. Crit Care. 2016;20(1):350.
Bhattacharyya S, Darby RR, Raibagkar P, Castro LNG, Berkowitz AL. Antibiotic-associated encephalopathy. Neurology. 2016;86(10):963–71.
Sonck J, Laureys G, Verbeelen D. The neurotoxicity and safety of treatment with cefepime in patients with renal failure. Nephrol Dial Transpl. 2008;23:966–70.
Chow KM, Szeto CC, Hui Andrew ACF, Wong TYH, Li PKT. Retrospective review of neurotoxicity induced by cefepime and ceftazidime. Pharmacotherapy. 2003;23(3):369–73.
Schreier DJ, Kashani KB, Sakhuja A, Mara KC, Tootooni MS, Personett HA, et al. Incidence of acute kidney injury among critically ill patients with brief empiric use of antipseudomonal β-lactams with vancomycin. Clin Infect Dis. 2019;68:1456–62.
Sugimoto M, Uchida I, Mashimo T, Yamazaki S, Hatano K, Ikeda F, et al. Evidence for the involvement of GABAA receptor blockade in convulsions induced by cephalosporins. Neuropharmacology. 2003;45:304–14.
Triplett JD, Lawn ND, Chan J, Dunne JW. Cephalosporin-related neurotoxicity: metabolic encephalopathy or non-convulsive status epilepticus? J Clin Neurosci. 2019;67:163–6.
Demir AB, Bora I, Uzun P. Nonconvulsive status epilepticus cases arising in connection with cephalosporins. Epilepsy Behav Case Rep. 2016;6:23–7.
Payne LE, Gagnon DJ, Riker RR, Seder DB, Glisic EK, Morris JG, et al. Cefepime-induced neurotoxicity: a systematic review. Crit Care. 2017;21(1):276.
Rhodes NJ, Kuti JL, Nicolau DP, Neely MN, Nicasio AM, Scheetz MH. An exploratory analysis of the ability of a cefepime trough concentration greater than 22 mg/L to predict neurotoxicity. J Infect Chemother. 2016;22(2):78–83.
Huwyler T, Lenggenhager L, Abbas M, Ing Lorenzini K, Hughes S, Huttner B, et al. Cefepime plasma concentrations and clinical toxicity: a retrospective cohort study. Clin Microbiol Infect. 2017;23:454–9.
Khan A, DeMott JM, Varughese C, Hammond DA. Effect of cefepime on neurotoxicity development in critically ill adults with renal dysfunction. Chest. 2020;158(1):157–63.
Gangireddy VGR, Mitchell LC, Coleman T. Cefepime neurotoxicity despite renal adjusted dosing. Scand J Infect Dis. 2011;43:827–9.
Singh TD, O’Horo JC, Day CN, Mandrekar J, Rabinstein AA. Cefepime is associated with acute encephalopathy in critically ill patients: a retrospective case–control study. Neurocrit Care. 2020;33(3):695–700.
Pandharipande P, Shintani A, Peterson J, Pun BT, Wilkinson GR, Dittus RS, et al. Lorazepam is an independent risk factor for transitioning to delirium in intensive care unit patients. Anesthesiology. 2006;104:21–6.
Melton LJ. The threat to medical-records research. N Engl J Med. 1997;337:1466–70.
Naranjo CA, Busto U, Sellers EM, Sandor P, Ruiz I, Roberts EA, et al. A method for estimating the probability of adverse drug reactions. Clin Pharmacol Ther. 1981;30:239–45.
Knaus WA, Wagner DP, Draper EA, Zimmerman JE, Bergner M, Bastos PG, et al. The APACHE III prognostic system: risk prediction of hospital mortality for critically III hospitalized adults. Chest. 1991;100:1619–36.
Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373–83.
Teasdale G, Jennett B. Assessment of coma and impaired consciousness. A practical scale. J Cancer Five Cont. 1971;2(7872):81–4.
Hospira. Maxipime (cefepime hydrochloride, USP) for injection. Hospira Inc. 2014. https://www.accessdata.fda.gov/drugsatfda_docs/label/2014/050679s031lbl.pdf.
Pfizer. Highlights of prescribing information zosyn ® (piperacillin and tazobactam) for injection, for intravenous use ZOSYN (piperacillin and tazobactam) injection, for intravenous use. Pfizer Inc. 1993. https://www.accessdata.fda.gov/drugsatfda_docs/label/2017/050684s88s89s90_050750s37s38s39lbl.pdf.
AstraZeneca. Highlights of prescribing information. AstraZeneca Pharmaceuticals LP. 2016. https://www.accessdata.fda.gov/drugsatfda_docs/label/2018/050706s040lbl.pdf.
Collins GS, Reitsma JB, Altman DG, Moons KGM. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. Eur Urol. 2015;67:1142–51.
Imani S, Buscher H, Marriott D, Gentili S, Sandaradura I. Too much of a good thing: a retrospective study of β-lactam concentration-toxicity relationships. J Antimicrob Chemother. 2017;72:2891–7.
Sullins AK, Abdel-Rahman SM. Pharmacokinetics of antibacterial agents in the CSF of children and adolescents. Pediatr Drugs. 2013;15(2):93–117.
Kinzig M, Sorgel F, Brismar B, Nord CE. Pharmacokinetics and tissue penetration of tazobactam and piperacillin in patients undergoing colorectal surgery. Antimicrob Agents Chemother. 1992;36:1997–2004.
Nicolau DP. Pharmacokinetic and pharmacodynamic properties of meropenem. Clin Infect Dis. 2008;47(Suppl 1):S32-40.
Lederer DJ, Bell SC, Branson RD, Chalmers JD, Marshall R, Maslove DM, et al. Control of confounding and reporting of results in causal inference studies. Guidance for authors from editors of respiratory, sleep, and critical care journals. Ann Am Thorac Soc. 2019;16:22–8.
Funding
This study was supported in part by the Mayo Clinic Department of Pharmacy, the National Institutes of Health National Center for Advancing Translational Sciences under Award Number UL1 TR002377, and the National Institute of Allergy and Infectious Diseases under Award Number K23AI143882 (PI; EFB). The aforementioned funding sources had no role in study development, data accrual, statistical analysis, or interpretation of study findings do not represent the official views of the National Institutes of Health.
Author information
Authors and Affiliations
Contributions
NH had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the analysis. She helped to design the study, gather data on included patients with assistance from the members of the Mayo Clinic Anesthesia Clinical Research Unit team cited in the Acknowledgments, and draft the article. CI and SL assisted with study design. EB and DS assisted with study design, data collection, and contributed heavily to article drafting. KM helped to design the study and to review the statistical analysis. AAR, JF, SH, NH, and EB assisted with clinical adjudication of possible neurotoxicity cases. ADR and OG contributed to article editing and analysis. All authors reviewed the data, participated in discussions related to interpretation, and read and approved the final manuscript.
Corresponding author
Ethics declarations
Ethical approval/informed consent
This study was approved by the Mayo Clinic Investigational Review Board (number 14-007857), and all ethical guidelines have been adhered to.
Conflicts of interest
All authors report no conflicts of interest or financial relationships to disclose.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Haddad, N.A., Schreier, D.J., Fugate, J.E. et al. Incidence and Predictive Factors Associated with Beta-Lactam Neurotoxicity in the Critically Ill: A Retrospective Cohort Study. Neurocrit Care 37, 73–80 (2022). https://doi.org/10.1007/s12028-022-01442-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12028-022-01442-1