Adverse reactions in children to antimicrobials: limitations of the spontaneous reporting method and the possibilities of the global trigger method for drug-induced conditions

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Abstract

Backgroun. The safety of pharmacotherapy in critically ill children with nosocomial infection is an urgent problem in pediatrics [1]. The main cause of adverse drug reactions (ADRs) in children is antimicrobial drugs (AMDs) [2, 3]. The inefficiency of the traditional method of retrospective registration of spontaneous reports (SR) of ADRs was shown. The theoretical foundations for the introduction of the method for assessing global triggers (GT) of drug-induced conditions as a transition to the tactics of active detection of ADRs are given [4–10].

Objective. Comparative analysis of the prevalence and structure of ADRs to AMDs in children when registering drug-induced conditions using the SR and GT methods.

Methods. A comparative analysis of the prevalence and structure of manifestations of ADRs to AMDs in children was performed when registered by the SR method retrospectively for those hospitalized in the pediatrics profile, incl. in critical conditions during hospitalization in the ICU on the profile «anesthesiology-resuscitation (children)» for 3 years and with active tactics for detecting drug-induced conditions on AMDs in the ICU by the GT method for 2 years.

Results. The retrospective prevalence of ADRs to AMDs was 0.32 (95% CI: 0.22–0.33) per 100 hospitalized pediatric patients, the structure of ADR manifestations in 40 cases: allergic reactions – in 25 (62%) cases (cephalosporins and vancomycin), no expected therapeutic effect – in 7 (18%) cases (ceftriaxone, ampicillin sulbactam, azithromycin, levofloxacin, imipenem cilastatin, tobramycin inhalation, linezolid), vomiting and diarrhea – in 3 (7%) (amoxicillin clavulanate), bronchospasm – in 2 (5%) (colistimethate inhalation use), agitation – in 1 (3%) (ceftriaxone), nephrotoxicity – in 1 (3%) (amikacin), and phlebitis – in 1 (3%) case (vancomycin). For the SR method, the accuracy rate was 60% (95% CI: 54.69–65.03), sensitivity was 90.9% (95% CI: 78.33–97.47), and specificity was 55.7% (95 % CI: 50.01–61.20). In children in the ICU using the SR method, no ADR on AMD was registered. In a prospective observational study using the GT assessment method, the prevalence of manifestations of ADRs on AMDs in critically ill children was 1.28 (95% CI: 1.22–1.36) per 100 hospitalized in the ICU. The structure of ADRs and suspected drugs for 30 children were represented by hepatotoxicity – 19 (63%; cefoperazone sulbactam, vancomycin, tigecycline, meropenem, fluconazole, aztreonam, ceftazidime-avibactam), nephrotoxicity – 3 (10%; vancomycin), cardiovascular manifestations – 2 (7%; ciprofloxacin, moxifloxacin), neurotoxicity – 2 (7%; colistimethate, posaconazole), gastroenterological manifestations – 2 (7%) and laboratory abnormalities (vancomycin) – 2 (7%) children. For the method of active detection of ADRs to AMDs in the assessment of GT drug-induced conditions, the accuracy rate was 97% (95% CI: 95.86–97.37), the sensitivity of the method was 81.1% (95% CI: 64.84–92.04); specificity – 97.0% (95% CI: 96.14–97.60).

Results. Serious limitations of the SR method for registering ADRs for AMDs in a pediatric hospital in real clinical practice for 3 years are shown. The prevalence of ADRs by SR was 0.32 per 100 hospitalized. Its inefficiency for children in critical conditions was shown on the example of the ICU of a multidisciplinary children’s hospital. The prevalence of ADRs on AMDs in critically ill children with the use of active tactics for detecting drug-induced conditions by GT for 2 years was significantly higher and amounted to 1.28 per 100 hospitalized in the ICU. The accuracy rate of the method of active detection of ADRs on AMDs was 97%, the method of GT of drug-induced conditions – 60%.In the present study of critically ill children with infection, the risk of developing a fatal outcome was 6 times higher in the group of patients with manifestations of ADRs on AMDs compared with patients who did not have ADRs with active detection by GT (OR=6.0; 95% CI: 2.06–17.48).

Conclusion. The accuracy rate of the method of active detection of ADRs to AMDs when assessing drug-induced conditions using the GT method was 97% and was higher compared to the accuracy rate of the retrospective detection of ADRs to AMDs using the SR method, which was 60%. For the first time in the present study, the risk of developing a lethal outcome was 6 times higher in the group of patients with manifestations of ADRs to AMDs compared with patients who did not have ADRs with active tactics of detection by GT (OR=6.0; 95% CI: 2.06–17,48) in critically ill children with infection.

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About the authors

Anna V. Vlasova

Morozov Children’s City Clinical Hospital; Russian Medical Academy of Continuous Professional Education

Author for correspondence.
Email: annavlasova75@mail.ru
ORCID iD: 0000-0001-5272-2070
SPIN-code: 5248-6411

Cand. Sci. (Med.), Head of the Department of Clinical Pharmacology, Morozov Children’s City Clinical Hospital, Associate Professor at the Department of Clinical Pharmacology and Therapy named after Acad. B.E. Votchal

Russian Federation, Moscow; Moscow

E. V. Смирнова

Morozov Children’s City Clinical Hospital

Email: annavlasova75@mail.ru
ORCID iD: 0000-0002-4382-462X
SPIN-code: 2425-1341
Russian Federation, Moscow

V. V. Gorev

Morozov Children’s City Clinical Hospital

Email: annavlasova75@mail.ru
ORCID iD: 0000-0001-8272-3648
Russian Federation, Moscow

D. A. Sychev

Russian Medical Academy of Continuous Professional Education

Email: annavlasova75@mail.ru
ORCID iD: 0000-0002-4496-3680
SPIN-code: 4525-7556
Russian Federation, Moscow

References

  1. Сычев Д.А., Остроумова О.Д., Переверзев А.П. Лекарственно-индуцированные заболевания. Монография. М.: Прометей, 2022. 540 с. [Sychev D.A., Ostroumova O.D., Pereverzev A.P. Drug-induced diseases. Monograph. M.: Prometheus, 2022. 540 p. (In Russ.)].
  2. Iannelli V. 30 Most Commonly Prescribed Pediatric Medications. Medically reviewed by Jassey J.B. URL: https://www.verywellhealth.com/the-30-most-prescribed-drugs-in-pediatrics-2633435
  3. Coleman J.J., Pontefract S.K. Adverse drug reactions. Clin Med (Lond). 2016 Oct;16(5):481–85. doi: 10.7861/clinmedicine.16-5-481.
  4. Clark D. Review: Expecting the Worst – a publication from the Uppsala Monitoring Centre. Drug Safety. 2010;33(12):1135–36.
  5. Pandya A.D., Patel K., Rana D., et al. Global Trigger Tool: Proficient Adverse Drug Reaction Autodetection Method in Critical Care Patient Units. Indian J Crit Care Med. 2020;24(3):172–78. doi: 10.5005/jp-journals-10071-23367.
  6. Joshua L., Devi P., Guido S. Adverse drug reactions in medical intensive care unit of a tertiary care hospital. Pharmacoepidem. Drug Saf. 2009;18:639–45. doi: 10.1002/pds.1761.
  7. Deilkas E.T. GTT-metoden og uonskede hendelser som bidrar til dod i sykehus [The GTT method and adverse events contributing to hospital mortality]. Tidsskr Nor Laegeforen. 2020;140(9). doi: 10.4045/tidsskr.20.0455.
  8. Griffin F.A., Resar R.K. IHI Global Trigger Tool for Measuring Adverse Events. Cambrige: Institute for Healthcare Improvement; 2009.
  9. Yuan L., Kaplowitz N. Mechanisms of drug-induced liver injury. Clin Liver Dis. 2013;17(4):507–18, vii. doi: 10.1016/j.cld.2013.07.002.
  10. Tisdale J.E., Miller D.A. Drug Induced Diseases: Prevention, Detection, and Management. 3rd Ed. Bethesda, Md.: American Society of Health-System Pharmacists; 2018. 1399 р.
  11. Adriaenssens N., Coenen S., Versporten A., et al. European Surveillance of Antimicrobial Consumption (ESAC): outpatient antibiotic use in Europe (1997-2009). J Antimicrob Chemother. 2011;66(supll 6):vi3–vi12. doi: 10.1093/jac/dkr453.
  12. Shehab N., Patel P.R., Srinivasan A., Budnitz D.S. Emergency department visits for antibiotic‐associated adverse events. Clin Infect Dis. 2008;47:735–43.
  13. Kiguba R., Karamagi C., Bird S.M. Antibiotic-associated suspected adverse drug reactions among hospitalized patients in Uganda: a prospective cohort study. Pharmacol Res Perspect. 2017;5(2):e00298. doi: 10.1002/prp2.298.
  14. Ramos S.F., Araujo-Neto F.C., Aires-Moreno G.T., et al. Causality and avoidability of adverse drug reactions of antibiotics in hospitalized children: a cohort study. Int J Clin Pharm. 2021;43(5):1293–301. doi: 10.1007/s11096-021-01249-8.
  15. Jolivot P.A., Pichereau, C., Hindlet, P., et al. An observational study of adult admissions to a medical ICU due to adverse drug events. Ann Int Care. 2016;6:9. doi: 10.1186/s13613-016-0109-9.
  16. Cliff-Eribo K.O., Sammons H., Choonara I. Systematic review of paediatric studies of adverse drug reactions from pharmacovigilance databases. Expert Opin Drug Saf. 2016;15:1321–28. doi: 10.1080/14740338.2016.1221921.
  17. dos Santos D.B., Coelho H.L. Adverse drug reactions in hospitalized children in Fortaleza, Brazil. Pharmacoepidemiol Drug Saf. 2006;15:635–40. doi: 10.1002/pds.1187.
  18. Rashed A.N., Wong I.C., Cranswick N., et al. Risk factors associated with adverse drug reactions in hospitalised children: international multicentre study. Eur J Clin Pharmacol. 2012;68:801–10. doi: 10.1007/s00228-011-1183-4.
  19. Clavenna A., Bonati M. Differences in antibiotic prescribing in paediatric outpatients. Arch Dis Child. 2011;96:590–95. doi: 10.1136/adc.2010.183541.
  20. Impicciatore P., Choonara I., Clarkson A., et al. Incidence of adverse drug reactions in paediatric in/out-patients: a systematic review and meta-analysis of prospective studies. Br J Clin Pharmacol. 2001;52:77–83. doi: 10.1046/j.0306-5251.2001.01407.
  21. Smyth R., Gargon E., Kirkham J., et al. Adverse drug reactions in children-a systematic review. PLoS One. 2012;7:e24061. doi: 10.1371/journal.pone.0024061.
  22. Simmons C., Georgeson E.M., Hill R.C: Adverse drug reactions: can we reduce the risk? Hosp Pharm. 1998;33:1568–76.
  23. Van Kraaij D.J.W., Haagsma C.J., Go I.H., Gribnau F.W.J: Drug use and adverse drug reactions in 105 elderly patients admitted to a general medical ward. Neth J Med. 1994;44:166–73. doi: 10.1016/0300-2977(95)90003-9.
  24. Schildmeijer K., Nilsson L., Perk J., et al. Strengths and weaknesses of working with the Global TriggerTool method for retrospective record review: Focus group interviews with team members. BMJ Open. 2013;3(9):e003131. doi: 10.1136/bmjopen-2013-003131.
  25. Soop M., Fryksmark U., Koster M., Haglund B. The incidence of adverse events in Swedish hospitals: A retrospectivemedical record review study. Int J Qual Health Care. 2009;21(4):285–91. doi: 10.1093/intqhc/mzp025.
  26. Vincent C., Neale G., Woloshynowych M. Adverse events in British hospitals: Preliminary retrospective record review.BMJ. 2001;322(7285):517–19. doi: 10.1136/bmj.322.7285.517.
  27. Classen D.C., Resar R., Griffin F., et al. “Global trigger tool” shows that adverse events inhospitals may be ten times greater than previously measured. Health Aff Proj Hope. 2011;30(4):581–89. doi: 10.1377/hlthaff.2011.0190.
  28. HHS OIG. Adverse Events in Hospitals: National Incidence Among Medicare Benefiiaries. Washington; 2010.
  29. Landrigan C.P., Parry G.J., Bones C.B., et al. Temporal Trends in Rates of Patient HarmResulting from Medical Care. N Engl J Med. 2010;363(22):2124–34. doi: 10.1056/NEJMsa1004404.
  30. Maglione M.A., Das L., Raaen L., et al. Safety of vaccines used for routine immunization of U.S. children: a systematic review. Pediatrics. 2014;134(2):325–37. doi: 10.1542/peds.2014-1079.
  31. National and State Healthcare-Associated Infections Progress Report URL: https://www.cdc.gov/ и AE/SAE; URL: https://www.nia.nih.gov/sites/default/files/2018-09/nia-ae-and-sae-guidelines-2018.pdf
  32. Anand A.C., Nandi B., Acharya S.K., et al. INASL Task-Force on Acute Liver Failure. Indian National Association for the Study of the Liver Consensus Statement on Acute Liver Failure (Part 1): Epidemiology, Pathogenesis, Presentation and Prognosis. J Clin Exp Hepatol. 2020;10(4):339–76. doi: 10.1016/j.jceh. 2020.04.012.
  33. IOM. To Err is Human: Building A Safer Health System [Internet]. Washington: National Academy Press; 2000 [cited2013 Nov 1]. Available from: http://www.iom.edu/Reports/1999/To-Err-is-Human-Building-A-Safer-Health-System.aspx
  34. Wachter R.M. The end of the beginning: Patient safety five years after “to err is human. Health Aff Proj Hope. 2004;(SupplWeb Exclusives):W4–534-45.
  35. Bates D.W., Cohen M., Leape L.L., et al. Reducing the frequency of errors in medicineusing information technology. J Am Med Inform Assoc. 2001;8(4):299–308. doi: 10.1136/jamia.2001.0080299.
  36. Brouwer K.L.R., Dukes G.E., Powell J.R. Influence of liver function on drug disposition. In: Evans W.E., Schentag J.J., Jusko W.J., editors. Applied Pharmacokinetics: Principles of Therapeutic Drug Monitoring. Vancouver, WA: Applied Therapeutics, Inc.; 1992:6-1:6-59.
  37. Guideline on the Investigation of Medicinal Products in the Term and Preterm Neonate. European Medicines Agency: 2007. URL: http://www.ema.europa.eu/docs/en_GB/document_library/Scientific_guideline/2009/09/WC500003750.pdf
  38. Письмо Росздравнадзора от 16.01.2012 N 04И-11/12 «О Методических рекомендациях по осуществлению государственной функции по мониторингу безопасности лекарственных препаратов» (вместе с «Методическими рекомендациями по осуществлению Управлениями Росздравнадзора по субъектам Российской Федерации государственной функции по мониторингу безопасности лекарственных препаратов, находящихся в обращении на территории Российской Федерации», утв. Росздравнадзором 12.01.2012). [Letter of Roszdravnadzor dated January 16, 2012 N 04И-11/12 «On Guidelines for the implementation of the state function of monitoring the safety of medicines» (together with the «Methodological recommendations for the implementation by the Roszdravnadzor departments in the constituent entities of the Russian Federation of the state function of monitoring the safety of medicines, in circulation on the territory of the Russian Federation», approved by Roszdravnadzor on 01/12/2012). (In Russ.)].
  39. Berthe-Aucejo A., Nguyen P.K.H., Angoulvant F., et al. Retrospective study of irrational prescribing in French paediatric hospital: prevalence of inappropriate prescription detected by Pediatrics: Omission of Prescription and Inappropriate prescription (POPI) in the emergency unit and in the ambulatory setting. BMJ Open. 2019;9(3):e019186. doi: 10.1136/bmjopen-2017-019186.
  40. Katarey D., Verma S. Drug-induced liver injury. Clin Med (Lond). 2016;16(Suppl 6):s104-s109. doi: 10.7861/clinmedicine.16-6-s104.
  41. Kaplowitz N., DeLeve L.D. Drug-Induced Liver Disease. Third edition. Elsevier Sci. 2013. 1693 р.
  42. 2019 National and State Healthcare-Associated Infections Progress Report. URL: https://www.cdc.gov/
  43. Matics T.J., Sanchez-Pinto L.N. Adaptation and Validation of a Pediatric Sequential Organ Failure Assessment Score and Evaluation of the Sepsis-3 Definitions in Critically Ill Children. JAMA Pediatr. 2017;171(10):e172352. doi: 10.1001/jamapediatrics.2017.2352.
  44. Prot-Labarthe S., Weil T., Angoulvant F., et al. POPI (Pediatrics: Omission of Prescriptions and Inappropriate Prescriptions): Development of a Tool to Identify Inappropriate Prescribing. PLoS One. 2014 9(6):e101171. Published online 2014 Jun 30. doi: 10.1371/journal.pone.0101171.
  45. Lindquist M. Vigibase, the WHO Global ICSR Database System: Basic Facts. Drug Inform J. 2008;42:409–19.
  46. Brouwer K.L.R., Dukes G.E., Powell J.R. Influence of liver function on drug disposition. In: Evans W.E., Schentag J.J., Jusko W.J., editors. Applied Pharmacokinetics: Principles of Therapeutic Drug Monitoring. Vancouver, WA: Applied Therapeutics, Inc.;1992:6-1-6-59.
  47. Lam Y.W., Banerji S., Hatfield C., Talbert R.L. Principles of drug administration in renal insufficiency. Clin Pharmacokinet 1997; 32(1):30–57.
  48. Shammas F.V., Dickstein K. Clinical pharmacokinetics in heart failure. An updated review. Clin Pharmacokinet. 1988;15(2): 94–113.
  49. Pieper J.A., Johnson K.E. Lidocaine. In: Evans W.E., Schentag J.J., Jusko W.J., editors. Applied Pharmacokinetics: Principles of Therapeutic Drug Monitoring. Vancouver, WA: Applied Therapeutics Inc.; 1992:21-1:21–37.
  50. Pokrajac M., Simic D., Varagic V.M. Pharmacokinetics of theophylline in hyperthyroid and hypothyroid patients with chronic obstructive pulmonary disease. Eur J Clin Pharmacol 1987;33(5):483–86. doi: 10.1007/BF00544240.
  51. Zed P.J., Haughn C., Black K.J., et al. Medication-related emergency department visits and hospital admissions in pediatric patients: a qualitative systematic review. J Pediatr. 2013;163(2):477–83. doi: 10.1016/j.jpeds.2013.01.042.
  52. Kaushal R., Bates D.W., Landrigan C., et al. Medication errors and adverse drug events in pediatric inpatients. JAMA. 2001;285(16):2114–20. doi: 10.1001/jama.285.16.2114. Исправлено.
  53. Aljadhey H., Mahmoud M.A., Mayet A., et al. Incidence of adverse drug events in an academic hospital: a prospective cohort study. Int J Qual Heal Care. 2013;25(6):648–55. doi: 10.1093/intqhc/mzt075.
  54. Hsia Y., Lee B.R., Versporten A., et al. Use of the WHO Access, Watch, and Reserve classification to define patterns of hospital antibiotic use (AWaRe): an analysis of paediatric survey data from 56 countries. Lancet Global Health. 2019;7(7):e861-e871. doi: 10.1016/S2214-109X(19)30071-3.
  55. Ward R.M., Benjamin D., Barrett J.S., et al., the International Neonatal Consortium (INC) 2017. Safety, Dosing, and Pharmaceutical Quality for Studies that Evaluate Medicinal Products (including Biological Products) in Neonates Running Title: Study of Drugs in the Neonate. The International Neonatal Consortium (INC) is supported in part by grant number U18FD005320-01 from the U.S. Food and Drug Administration (FDA) to the Critical Path Institute (http://c-path.org) and through annual dues of member companies.
  56. Zhou Y., Yang L., Liao Z., et al. Epidemiology of drug-induced liver injury in China: a systematic analysis of the Chinese literature including 21,789 patients. Eur J Gastroenterol Hepatol. 2013;25(7):825–29. doi: 10.1097/MEG.0b013e32835f6889.
  57. Kumar M., Sahni N., Shafiq N., Yaddanapudi L.N. Medication Prescription Errors in the Intensive Care Unit: Prospective Observational Study. Indian J Crit Care Med. 2022;26(5):555–59. doi: 10.5005/jp-journals-10071-24148.
  58. MedCalc Software Ltd. Diagnostic test evaluation calculator. https://www.medcalc.org/calc/diagnostic_test.php (Version 20.210; accessed December 26, 2022).
  59. Glanzmann C., Frey B., Meier C.R., Vonbach P. Analysis of medication prescribing errors in critically ill children. Eur J Pediatr. 2015;174(10):1347–55. doi: 10.1007/s00431-015-2542-4.
  60. Gardner I.A., Greiner M. Receiver-operating characteristic curves and likelihood ratios: improvements over traditional methods for the evaluation and application of veterinary clinical pathology tests. Vet Clin. Pathol. 2006; 35:8–17.
  61. Griner P.F., Mayewski R.J., Mushlin A.I., Greenland P. Selection and interpretation of diagnostic tests and procedures. Ann Int Med. 1981;94:555–600.
  62. Hanley J.A., McNeil B.J. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982;143:29–36. doi: 10.1148/radiology.143.1.7063747.
  63. Mercaldo N.D., Lau K.F., Zhou X.H. Confidence intervals for predictive values with an emphasis to case-control studies. Stat Med. 2007;26:2170–83. doi: 10.1002/sim.2677.

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