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Medication patterns and dosing guidance in pediatric patients supported with intermittent hemodialysis or continuous kidney replacement therapy

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Abstract

Background

Hemodialysis is a life-saving technology used during periods of acute or chronic kidney failure to remove toxins, and maintain fluid, electrolyte and metabolic balance. While this technology plays an important role for pediatric patients with kidney dysfunction, it can alter the pharmacokinetic behavior of medications placing patients at risk for suboptimal dosing and drug toxicity. The ability to directly translate pharmacokinetic alterations into dosing recommendations has thus far been limited and dosing guidance specific to pediatric hemodialysis patients is rare. Despite differences in dialysis prescription and patient populations, intermittent (iHD) and continuous kidney replacement therapy (CKRT) patients are often pooled together. In order to develop evidence-based dosing guidelines, it is important to first prioritize drugs for study in each modality.

Methods

Here we aim to identify priority drugs in two hemodialysis modalities, through: 1) Identification of hospitalized, pediatric patients who received CKRT or intermittent hemodialysis (iHD) using a machine learning-based predictive model based on medications; 2) Identification of medication administration patterns in these patient cohorts; and 3) Identification of the most commonly prescribed drugs that lack published dosing guidance.

Results

Notable differences were found in the pattern of medications and drug dosing guidance between iHD and CKRT patients. Antibiotics, diuretics and sedatives were more common in CKRT patients. Out of the 50 most commonly administered medications in the two modalities, only 34% and 28% had dosing guidance present for iHD and CKRT, respectively.

Conclusions

Our results add to the understanding of the differences between iHD and CKRT patient populations by identifying commonly used medications that lack dosing guidance for each hemodialysis modality, helping to pinpoint priority medications for further study. Overall, this study provides an overview of the current limitations in medication use in this at-risk population, and provides a framework for future studies by identifying commonly used medications in pediatric CKRT and iHD patients.

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Data availability

All medication based data generated or analyzed during this study are included in this published article and its supplementary information files. Additional datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Pea F, Viale P, Pavan F, Furlanut M (2007) Pharmacokinetic considerations for antimicrobial therapy in patients receiving renal replacement therapy. Clin Pharmacokinet 46:997–103. https://doi.org/10.2165/00003088-200746120-00003

    Article  CAS  PubMed  Google Scholar 

  2. Awdishu L, Bouchard J (2011) How to optimize drug delivery in renal replacement therapy. Semin Dial 24:176–182. https://doi.org/10.1111/j.1525-139X.2011.00826.x

    Article  PubMed  Google Scholar 

  3. Nolin TD, Aronoff GR, Fissell WH, Jain L, Madabushi R, Reynolds K, Zhang L, Huang SM, Mehrotra R, Flessner MF, Leypoldt JK, Witcher JW, Zineh I, Archdeacon P, Roy-Chaudhury P, Goldstein SL; Kidney Health Initiative (2015) Pharmacokinetic assessment in patients receiving continuous RRT: perspectives from the Kidney Health Initiative. Clin J Am Soc of Nephrol 10:159–164. https://doi.org/10.2215/CJN.05630614

    Article  CAS  Google Scholar 

  4. Veltri MA, Neu AM, Fivush BA, Parekh RS, Furth SL (2004) Drug dosing during intermittent hemodialysis and continuous renal replacement therapy: special considerations in pediatric patients. Paediatr Drugs 6:45–65. https://doi.org/10.2165/00148581-200406010-00004

    Article  PubMed  Google Scholar 

  5. Sime FB, Pandey S, Karamujic N, Parker S, Alexander E, Loutit J, Durso S, Griffith D, Lipman J, Wallis SC, Roberts JA (2018) Ex vivo characterization of effects of renal replacement therapy modalities and settings on pharmacokinetics of meropenem and vaborbactam. Antimicrob Agents Chemother 62:e01306–e01318. https://doi.org/10.1128/AAC.01306-18

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Nehus EJ, Mouksassi S, Vinks AA, Goldstein S (2014) Meropenem in children receiving continuous renal replacement therapy: clinical trial simulations using realistic covariates. J Clin Pharmacol 54:1421–1428. https://doi.org/10.1002/jcph.360

    Article  CAS  PubMed  Google Scholar 

  7. Morabito S, Pistolesi V, Maggiore U, Fiaccadori E, Pierucci A (2012) Pharmacokinetics of antibiotics in continuous renal replacement therapies (CRRT). G Ital Nefrol 29:425–444

    PubMed  Google Scholar 

  8. Goldstein SL, Nolin TD (2014) Lack of drug dosing guidelines for critically ill patients receiving continuous renal replacement therapy. Clin Pharmacol Ther 96:159–161. https://doi.org/10.1038/clpt.2014.102

    Article  CAS  PubMed  Google Scholar 

  9. Rizkalla NA, Feudtner C, Dai D, Zuppa AF (2013) Patterns of medication exposures in hospitalized pediatric patients with acute renal failure requiring intermittent or continuous hemodialysis. Pediatr Crit Care Med 14:e394–e403. https://doi.org/10.1097/PCC.0b013e31829f5bc8

    Article  PubMed  Google Scholar 

  10. Lewis SJ, Mueller BA (2014) Antibiotic dosing in critically ill patients receiving CRRT: underdosing is overprevalent. Semin Dial 27:441–445. https://doi.org/10.1111/sdi.12203

    Article  PubMed  Google Scholar 

  11. McKnite AM, Job KM, Nelson R, Sherwin CMT, Watt KM, Brewer SC (2022) Medication based machine learning to identify subpopulations of pediatric hemodialysis patients in an electronic health record database. Inform Unlocked 34:101104. https://doi.org/10.1016/j.imu.2022.101104

    Article  Google Scholar 

  12. Mountford CM, Lee T, de Lemos J, Loewen PS (2010) Quality and usability of common drug information databases. Can J Hosp Pharm 63:130–137. https://doi.org/10.4212/cjhp.v63i2.898

    Article  PubMed  PubMed Central  Google Scholar 

  13. Lee KH, Sol IS, Park JT, Kim JH, Shin JW, Park MR, Lee JH, Kim YH, Kim KW, Shin JI (2019) Continuous renal replacement therapy (CRRT) in children and the specialized CRRT team: a 14-year single-center study. J Clin Med 9:110. https://doi.org/10.3390/jcm9010110

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Riley AA, Watson M, Smith C, Guffey D, Minard CG, Currier H, Akcan Arikan A (2018) Pediatric continuous renal replacement therapy: have practice changes changed outcomes? A large single-center ten-year retrospective evaluation. BMC Nephrol 19:268. https://doi.org/10.1186/s12882-018-1068-1

    Article  PubMed  PubMed Central  Google Scholar 

  15. Hayes LW, Oster RA, Tofil NM, Tolwani AJ (2009) Outcomes of critically ill children requiring continuous renal replacement therapy. J Crit Care 24:394–400. https://doi.org/10.1016/j.jcrc.2008.12.017

    Article  PubMed  Google Scholar 

  16. Vaex Development Team (2022) What is Vaex? https://vaex.readthedocs.io/. Accessed 12 Feb 2022

  17. R Core Team (2020) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.r-project.org/. Accessed 12 Feb 2022

  18. Wickham H, François R, Henry L, Müller K (2020) dplyr: A Grammar of Data Manipulation. R package version 1.0.2. https://CRAN.R-project.org/package=dplyr. Accessed 12 Feb 2022

  19. Rich B (2021) Table1: tables of descriptive statistics in HTML. R package version 1.4.2. https://CRAN.R-project.org/package=table1. Accessed 12 Feb 2022

  20. Wood S (2017) Generalized Additive Models: An Introduction with R, 2nd edn. Chapman and Hall, Boca Raton, FL, p 496

    Book  Google Scholar 

  21. de Galasso L, Picca S, Guzzo I (2020) Dialysis modalities for the management of pediatric acute kidney injury. Pediatr Nephrol 35:753–765. https://doi.org/10.1007/s00467-019-04213-x

    Article  PubMed  Google Scholar 

  22. Wang S (2016) Renal replacement therapy in the pediatric critical care unit. J Pediatr Intensive Care 5:59–63. https://doi.org/10.1055/s-0035-1564736

    Article  PubMed  Google Scholar 

  23. Griffin BR, Liu KD, Teixeira JP (2020) Critical Care Nephrology: Core Curriculum 2020. Am J Kidney Dis 75:435–452. https://doi.org/10.1053/j.ajkd.2019.10.010

    Article  PubMed  PubMed Central  Google Scholar 

  24. Watson RS, Crow SS, Hartman ME, Lacroix J, Odetola FO (2017) Epidemiology and outcomes of pediatric multiple organ dysfunction syndrome. Pediatr Crit Care Med 18:S4–S16. https://doi.org/10.1097/PCC.0000000000001047

    Article  PubMed  PubMed Central  Google Scholar 

  25. Symons JM, Chua AN, Somers MJ, Baum MA, Bunchman TE, Benfield MR, Brophy PD, Blowey D, Fortenberry JD, Chand D, Flores FX, Hackbarth R, Alexander SR, Mahan J, McBryde KD, Goldstein L (2007) Demographic characteristics of pediatric continuous renal replacement therapy: a report of the prospective pediatric continuous renal replacement therapy registry. Clin J Am Soc Nephrol 2:732–738. https://doi.org/10.2215/CJN.03200906

    Article  PubMed  Google Scholar 

  26. Al-Ayed T, Rahman NU, Alturki A, Aljofan F (2018) Outcome of continuous renal replacement therapy in critically ill children: a retrospective cohort study. Ann Saudi Med 38:260–268. https://doi.org/10.5144/0256-4947.2018.260

    Article  PubMed  PubMed Central  Google Scholar 

  27. Askenazi DJ, Goldstein SL, Koralkar R, Fortenberry J, Baum M, Hackbarth R, Blowey D, Bunchman TE, Brophy PD, Symons J, Chua A, Flores F, Somers MJ (2013) Continuous renal replacement therapy for children ≤10 kg: a report from the prospective pediatric continuous renal replacement therapy registry. J Pediatr 162:587-592.e3. https://doi.org/10.1016/j.jpeds.2012.08.044

    Article  PubMed  Google Scholar 

  28. Aygun F (2020) Evaluation of continuous renal replacement therapy and risk factors in the pediatric intensive care unit. Saudi J Kidney Dis Transpl 31:53–61. https://doi.org/10.4103/1319-2442.279961

    Article  PubMed  Google Scholar 

  29. Ramzy M, McAllister RK (2022) Vecuronium. In StatPearls. Treasure Island (FL): StatPearls. Available at: https://www.ncbi.nlm.nih.gov/books/NBK493143/. Accessed 16 Feb 2023

  30. Dalal R, Grujic D (2023) Epinephrine. In StatPearls. Treasure Island (FL): StatPearls. Available at: https://www.ncbi.nlm.nih.gov/books/NBK482160. Accessed 16 Feb 2023

  31. Chaijamorn W, Charoensareerat T, Srisawat N, Pattharachayakul S, Boonpeng A (2018) Cefepime dosing regimens in critically ill patients receiving continuous renal replacement therapy: a Monte Carlo simulation study. J Intensive Care 6:61. https://doi.org/10.1186/s40560-018-0330-8

    Article  PubMed  PubMed Central  Google Scholar 

  32. Sinha AD, Agarwal R (2019) Clinical pharmacology of antihypertensive therapy for the treatment of hypertension in CKD. Clin J Am Soc Nephrol 14:757–764. https://doi.org/10.2215/CJN.04330418

    Article  CAS  Google Scholar 

  33. Herman LL, Bashir K (2022) Hydrochlorothiazide. In StatPearls. Treasure Island (FL): StatPearls. Available at: https://www.ncbi.nlm.nih.gov/books/NBK430766/. Accessed 16 Feb 2023

  34. Ghiasi N, Bhansali RK, Marwaha R (2023) Lorazepam. In StatPearls. Treasure Island (FL): StatPearls. Available at: https://www.ncbi.nlm.nih.gov/books/NBK532890/. Accessed 16 Feb 2023

  35. Ingrasciotta Y, Sultana J, Giorgianni F, Caputi AP, Arcoraci V, Tari DU, Linguiti C, Perrotta M, Nucita A, Pellegrini F, Fontana A, Cavagna L, Santoro D, Trifirò G (2014) The burden of nephrotoxic drug prescriptions in patients with chronic kidney disease: a retrospective population-based study in Southern Italy. PLoS One 9:e89072. https://doi.org/10.1371/journal.pone.0089072

    Article  CAS  PubMed  PubMed Central  ADS  Google Scholar 

  36. Bosi A, Xu Y, Gasparini A, Wettermark B, Barany P, Bellocco R, Inker LA, Chang AR, McAdams-DeMarco M, Grams ME, Shin JI, Carrero JJ (2021) Use of nephrotoxic medications in adults with chronic kidney disease in Swedish and US routine care. Clin Kidney J 15:442–451. https://doi.org/10.1093/ckj/sfab210

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Armstrong MJ, Zhang K, Ye F, Klarenbach SW, Pannu NI (2023) Population-based analysis of nonsteroidal anti-inflammatory drug prescription in subjects with chronic kidney disease. Can J Kidney Health Dis 10:20543581221149620. https://doi.org/10.1177/20543581221149621

    Article  PubMed  PubMed Central  Google Scholar 

  38. Lefebvre CE, Filion KB, Reynier P, Platt RW, Zappitelli M (2020) Primary care prescriptions of potentially nephrotoxic medications in children with CKD. Clin J Am Soc Nephrol 15:61–68. https://doi.org/10.2215/CJN.0355031

    Article  CAS  PubMed  Google Scholar 

  39. Dai D, Feinstein JA, Morrison W, Zuppa AF, Feudtner C (2016) Epidemiology of polypharmacy and potential drug-drug interactions among pediatric patients in ICUs of U.S. Children’s Hospitals. Pediatr Crit Care Med 17:e218–e228. https://doi.org/10.1097/PCC.000000000000068

    Article  PubMed  Google Scholar 

  40. Lima EDC, Camarinha BD, Ferreira Bezerra NC, Panisset AG, Belmino de Souza R, Silva MT, Lopes LC (2020) Severe potential drug-drug interactions and the increased length of stay of children in intensive care unit. Front Pharmacol 11:555407. https://doi.org/10.3389/fphar.2020.555407

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Choi YH, Lee IH, Yang M, Cho YS, Jo YH, Bae HJ, Kim YS, Park JD (2021) Clinical significance of potential drug-drug interactions in a pediatric intensive care unit: A single-center retrospective study. PLoS One 16:e0246754. https://doi.org/10.1371/journal.pone.0246754

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Roberts JA, Joynt GM, Lee A, SMARRT Study Collaborators and the ANZICS Clinical Trials Group et al (2021) The Effect of renal replacement therapy and antibiotic dose on antibiotic concentrations in critically ill patients: data from the multinational sampling antibiotics in renal replacement therapy study. Clin Infect Dis 72:1369–1378. https://doi.org/10.1093/cid/ciaa224

    Article  CAS  PubMed  Google Scholar 

  43. Edginton AN, Schmitt W, Willmann S (2006) Development and evaluation of a generic physiologically based pharmacokinetic model for children. Clin Pharmacokinet 45:1013–1034. https://doi.org/10.2165/00003088-200645100-00005

    Article  CAS  PubMed  Google Scholar 

  44. Watt KM, Cohen-Wolkowiez M, Barrett JS, Sevestre M, Zhao P, Brouwer KLR, Edginton AN (2018) Physiologically based pharmacokinetic approach to determine dosing on extracorporeal life support: fluconazole in children on ECMO. CPT Pharmacometrics Syst Pharmacol 7:629–637. https://doi.org/10.1002/psp4.12338

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The authors would like to thank the TriNetX team for guidance and technical support.

Funding

This work was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD097775, R21HD104412), the National Heart, Lung, and Blood Institute (2T32HL105321), the University of Utah College of Pharmacy Donald R. Gehlert Fellowship, the American Foundation for Pharmaceutical Education Pre-Doctoral Research Fellowship in Pharmaceutical Sciences and the National Institute of Diabetes and Digestive and Kidney Diseases (F31DK130542).

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Correspondence to Autumn M. McKnite.

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Graphical abstract (PPTX 113 KB)

Population demographics for ICD9 and ICD10 coded patients (TIFF 7.50 MB)

Supplementary file3 (DOCX 36.4 KB)

Supplementary file4 (DOCX 13.1 KB)

467_2023_6199_MOESM5_ESM.tiff

Cumulative unique drug exposure by age group across 30 dialysis days. Blue triangles and red dots represent individual CKRT and iHD patients, respectively. The darker the color, the more patients represented by that symbol. The blue (CKRT) and (iHD) red lines represents the median cumulative number of unique medications across dialysis days. Curves were fit to each modality group using a generalized additive model to highlight trends in drug exposure across dialysis days (TIFF 16.4 MB)

Supplementary file6 (DOCX 51.6 KB)

Supplementary file7 (DOCX 13.5 KB)

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McKnite, A.M., Green, D.J., Nelson, R. et al. Medication patterns and dosing guidance in pediatric patients supported with intermittent hemodialysis or continuous kidney replacement therapy. Pediatr Nephrol 39, 1521–1532 (2024). https://doi.org/10.1007/s00467-023-06199-z

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