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Incidence and Risk Factors of Delirium in Children and Adolescents Undergoing Surgery in the Hospital

Author(s):
Mehdi SarafiMehdi Sarafi1, Gholamreza EbrahimisarajGholamreza Ebrahimisaraj1, Aminollah VasighAminollah VasighAminollah Vasigh ORCID2, 3,*
1School of Medicine, Mofid Children's Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2Oral and Dental Health Research Center, Ilam University of Medical Sciences, Ilam, Iran
3Department of Anesthesiology, School of Allied Medical Sciences, Ilam University of Medical Sciences, Ilam, Iran

Archives of Neuroscience:Vol. 12, issue 3; e163960
Published online:Aug 13, 2025
Article type:Research Article
Received:Jun 25, 2025
Accepted:Aug 03, 2025
How to Cite:Sarafi M, Ebrahimisaraj G, Vasigh A. Incidence and Risk Factors of Delirium in Children and Adolescents Undergoing Surgery in the Hospital.Arch Neurosci.2025;12(3):e163960.https://doi.org/10.5812/ans-163960.

Abstract

Background:

In children, risk factors for delirium include anesthetics such as sevoflurane, surgeries such as dentistry and ENT, autism, and ADHD.

Objectives:

The present study was conducted to determine the rate of delirium in children and adolescents hospitalized for surgery.

Methods:

In this cross-sectional study, 75 children and adolescents hospitalized for surgery were evaluated for delirium. The instrument used was the Cornell Assessment of Pediatric Delirium (CAPD), which has 2 sections and 4 questions in each section. The Kernel tool was scored by an anesthesiologist once per shift and every 12 hours until the patient was discharged. In all cases, ethical codes were observed in the research. Data analysis was performed in SPSS 16 software.

Results:

Results showed a total of 75 patients were studied, of which 56% were in the adolescent age range and female gender, 84% had surgery duration less than 45 minutes, and 53.3% were hospitalized due to non-emergency surgeries. The incidence of delirium in patients was 11 (14.7%), which in Table 1 showed that there is a relationship between delirium and gender (P = 0.003), type of inpatient ward (P = 0.02), surgery duration (P = 0.02), coexisting disease (P = 0.000), and type of surgery (P = 0.006). Also, out of 86 patients studied, 11 patients had delirium and 64 patients did not. It was also related to gender 0.04 [4.16 (1.00 - 17.8)], type of inpatient ward 0.02 [0.27 (0.073 - 1.06)], surgery duration 0.04 [4.00 (0.95 - 16.79)], and type of surgery 0.006 [0.088 (0.011 - 0.73)].

Conclusions:

Although the incidence of delirium was low in this study, it is necessary to identify factors affecting the occurrence of delirium and to implement interventions to prevent delirium in patients undergoing surgery.

1. Background

Despite the increase in diseases or accidents in the group of children and adolescents, due to the advances made in the field of medicine, the mortality of these patients has decreased. Among these measures, it is possible to mention the performance of specialized surgeries in the group of people under 18 years of age and subsequent hospitalization of the patient in the PICU, which has reduced the complications of diseases in this age group and increased their quality of life (1-3). Attention to the mental health of patients is important (4, 5).

Pediatric delirium is defined as a disturbance that causes changes in the psychomotor domain in the patient, including involuntary and non-targeted behaviors, lack of recognition and awareness of time and place, and staring at the surroundings. Delirium in the ICU is a clinical syndrome that is accompanied by acute impairment in cognition and consciousness that can be accompanied by fluctuations throughout the day. Delirium is accompanied by symptoms such as impaired attention and awareness, history, laboratory findings, and physical examination, occurring in a short period of time during the day with fluctuations in severity (6-8). More than 25% of children admitted to the PICU have symptoms of delirium, which may affect their mortality. In fact, a critically ill child is exposed to sedative drugs due to surgery and has an inappropriate experience during the illness. Therefore, this experience may prevent the child and family from returning to normal activities and cause perceptual-motor disorders (9-13).

In children, risk factors for delirium include anesthetics such as sevoflurane, surgeries such as dentistry and ENT, autism, and ADHD. Other causes include severe illness, length of hospital stay, male gender, medications taken by the patient, underlying diseases in the patient, poor ward environment, younger age, previous history of delirium, and a positive family history of delirium (14-17). The presence of delirium in children increases medical and healthcare costs, and its prevention is a priority (18). Unlike adults, which are associated with cognitive impairment, in children, delirium is more associated with behavioral changes. Also, although not all patients admitted to the PICU develop delirium, delirium is a common disorder and is more prevalent in patients with inflammatory or infectious disorders (10). Delirium screening is not performed in some PICUs. For this reason, there is little information about the incidence, consequences, time course, manifestations, and risk factors of delirium (16, 19, 20).

2. Objectives

Given that the goal of surgery is to improve the patient’s condition and avoid any complications after surgery, a study was conducted to determine the rate of delirium in children and adolescents hospitalized for surgery.

3. Methods

In this cross-sectional study, children and adolescents hospitalized for surgery were evaluated for delirium in 2025. Inclusion criteria included age between 6 and 18 years, absence of communication disorders or cerebral palsy before surgery, informed parental consent to participate in the study, absence of coma in the patient, and absence of physical injuries affecting delirium. Patients with a history of surgery within the last month were excluded from the study.

The instrument used was the Cornell Assessment of Pediatric Delirium (CAPD), which has 2 sections and 4 questions in each section. The Cornell tool uses the child’s observable behavior to assess consciousness and cognition, and a CAPD score of ≥ 9 indicates the presence of delirium in the patient (21, 22). Delirium in children and adolescents was classified into 3 categories: Recovery, meaning positive but improved delirium; continuous, meaning persistent delirium in the patient; and intermittent, meaning periods of positive delirium (20). The Kernel tool was scored by an anesthesiologist once per shift and every 12 hours until the patient was discharged. In all cases, ethical codes were observed in the research. Data analysis was performed in SPSS 16 software.

4. Results

According to the findings (Tables 1 and 2), a total of 75 patients were studied, of which 56% were in the adolescent age range and female gender, 84% had surgery duration less than 45 minutes, and 53.3% were hospitalized due to non-emergency surgeries. The incidence of delirium in patients was 11 (14.7%), which in Table 1 showed that there is a relationship between delirium and gender (P = 0.003), type of inpatient ward (P = 0.02), surgery duration (P = 0.02), coexisting disease (P = 0.000), and type of surgery (P = 0.006).

Table 1.Comparison of Demographic Characteristics of Patients in the Two Groups
VariablesNo Delirium (N = 64)Delirium (N = 11)Overall (N = 75)P-Value
Age0.45
Pediatric27 (42.2)6 (46.2)33 (44)
Adolescent37 (57.8)7 (53.8)42 (56)
Gender0.04
Male25 (39.1)8 (72.7)33 (44)
Female39 (60.9)3 (27.3)42 (56)
Fever0.51
Yes17 (26.6)6 (46.2)21 (28)
No47 (73.4)7 (53.8)54 (72)
Pain0.29
Moderate to severe40 (62.5)7 (53.8)45 (60)
None-mild24 (37.5)6 (46.2)30 (40)
Type of inpatient ward0.02
Ward43 (67.2)4 (36.4)47 (62.7)
PICU21 (32.8)7 (63.6)28 (37.3)
Surgery duration (min)0.04
> 458 (12.5)4 (36.4)12 (16)
< 4556 (87.5)7 (63.6)63 (84)
Coexisting disease0.000
Yes0 (0)2 (18.2)2 (2.7)
No64 (100)9 (81.8)73 (97.3)
Type of surgery0.006
Emergency34 (53.1)1 (9.1)35 (46.7)
Non-emergency30 (46.9)10 (90.9)40 (53.3)

Comparison of Demographic Characteristics of Patients in the Two Groups

Table 2.Predicting Delirium (Multivariable Logistic Regression)
VariablesOR (95% CI)P-Value
Gender4.16 (1.00 - 17.8)0.04
Type of inpatient ward0.27 (0.073 - 1.06)0.02
Surgery duration4.00 (0.95 - 16.79)0.04
Type of surgery0.088 (0.011 - 0.73)0.006

Predicting Delirium (Multivariable Logistic Regression)

According to the findings in Table 2, out of 86 patients studied, 11 patients had delirium and 64 patients did not. It was also related to gender 0.04 [4.16 (1.00 - 17.8)], type of inpatient ward 0.02 [0.27 (0.073 - 1.06)], surgery duration 0.04 [4.00 (0.95-16.79)], and type of surgery 0.006 [0.088 (0.011-0.73)].

5. Discussion

Although intensive care unit admission helps to maintain the health of patients, it also leads to complications in patients (23-26). According to the findings, the incidence of delirium in children and adolescents was 14.7%. This rate was reported as 22% in the meta-analysis study of Erfani et al. (27), 61% in the study of Meyburg et al. (28), 24.4% in ophthalmic surgery in the study of Yu et al., 34.5% in ENT surgery in the study of another source (29), and 27% in the study of Silver et al. (9). According to the findings, factors such as gender, type of inpatient ward, surgery duration, type of surgery, and coexisting disease were associated with delirium. In a meta-analysis study by Zhu et al. in 10 articles with 4343 children admitted to PICU, it was shown that factors effective in causing delirium included developmental delay, duration of hospitalization, mechanical ventilation, and benzodiazepine use (30), which is consistent with the results of this study.

Alvarez et al. conducted a prospective observational study in the CICU over a 10-week period among people aged from birth to 21 years. 89% of patients admitted due to surgery, 57% of patients were mechanically ventilated, and 10 children were intubated after admission. Also, patients aged 6 - 12 years had 13 (13%) and 13 (13%) in the age range of 13 - 21 years, with the overall incidence of delirium in patients being 57% and 31% of patients having a continuous pattern of delirium symptoms. In terms of factors effective in causing this disorder, it was shown that 64% of cases were less than 1 year old, 64% of people had mechanical ventilation, and factors such as male gender, CPB time, primary diagnosis, and benzodiazepines were effective in causing it (20).

In the study by Beshah, 88 children with ENT surgery aged 2 - 12 years were examined for emergence delirium, of which 30 (34.1%) had moderate to severe pain symptoms. Factors such as age, gender, premedication used, and pain were associated with ED. Also, the incidence of PED was 21.6% (31). Studies have been conducted on the incidence of delirium in children with internal diseases and chronic diseases. In the study of Traube et al., who evaluated children with cancer aged 0 - 21 years admitted to the pediatric ward over a 3-month period, the ever-delirious status of the patients was examined. According to the findings, ever delirious was significantly associated with age, DNR status, primary diagnosis, reason for admission, narcotics, postoperative status, GCSF, benzodiazepines, but was not associated with chemotherapy, anticholinergics, CNS disease, transplant history, and sex (32). The small sample size and lack of diversity in the types of surgeries performed are weaknesses of this study, and further studies are needed in this field.

5.1. Conclusions

Although the incidence of delirium was low in this study, it is necessary to identify factors affecting the occurrence of delirium and to implement interventions to prevent delirium in patients undergoing surgery.

Acknowledgments

Footnotes

References

  • 1.
    Akbarpour P, Moradimajd P, Saei A, Aligholizadeh M, Sangi S. Artificial Intelligence in Pediatric Blood Transfusion during Anesthesia: A Scoping Review. Arch Anesthesia Critical Care. 2025.
  • 2.
    Mohebbi M, Beigi EH, Mohebbi R, Ghodsi M. The effects of heparinized normal saline flushing and prophylactic enoxaparin on central venous catheter thrombosis in PICU hospitalized pediatric. Arch Anesthesia Critical Care. 2024;10(Supp. 2):615-21.
  • 3.
    Yadav P, Trambadia D, Rajani B, Tripathi D, Ayanar S, Vaghasia A. Post Operative Epidural Analgesia in Pediatric Abdominal Surgery: Comparison of Clonidine and Dexmedetomidine as an Adjuvant. Arch Anesthesia Critical Care. 2024.
  • 4.
    Abdi A, Tarjoman A, Borji M. Prevalence of elder abuse in Iran: a Systematic review and meta-analysis. Asian J Psychiatr. 2019;39:120-7. [PubMed ID: 30616159]. https://doi.org/10.1016/j.ajp.2018.12.005.
  • 5.
    Abdi A, Soufinia A, Borji M, Tarjoman A. The Effect of Religion Intervention on Life Satisfaction and Depression in Elderly with Heart Failure. J Relig Health. 2019;58(3):823-32. [PubMed ID: 30421268]. https://doi.org/10.1007/s10943-018-0727-7.
  • 6.
    Battle DE. Diagnostic and statistical manual of mental disorders (DSM). Codas. 2013. p. 191-2.
  • 7.
    Fu M, Yuan Q, Yang Q, Song W, Yu Y, Luo Y, et al. Risk factors and incidence of postoperative delirium after cardiac surgery in children: a systematic review and meta-analysis. Ital J Pediatr. 2024;50(1):24. [PubMed ID: 38331831]. [PubMed Central ID: PMC10854157]. https://doi.org/10.1186/s13052-024-01603-2.
  • 8.
    Khalighi E, Tarjoman A, Abdi A, Borji M. The Prevalence of Delirium in Patients in Iran: a Systematic Review and Meta-analysis. Future Neurology. 2019;14(4). https://doi.org/10.2217/fnl-2018-0044.
  • 9.
    Silver G, Doyle H, Hegel E, Kaur S, Mauer EA, Gerber LM, et al. Association Between Pediatric Delirium and Quality of Life After Discharge. Crit Care Med. 2020;48(12):1829-34. [PubMed ID: 33031144]. [PubMed Central ID: PMC8195312]. https://doi.org/10.1097/CCM.0000000000004661.
  • 10.
    Traube C, Silver G, Reeder RW, Doyle H, Hegel E, Wolfe HA, et al. Delirium in Critically Ill Children: An International Point Prevalence Study. Crit Care Med. 2017;45(4):584-90. [PubMed ID: 28079605]. [PubMed Central ID: PMC5350030]. https://doi.org/10.1097/CCM.0000000000002250.
  • 11.
    Traube C, Silver G, Gerber LM, Kaur S, Mauer EA, Kerson A, et al. Delirium and Mortality in Critically Ill Children: Epidemiology and Outcomes of Pediatric Delirium. Crit Care Med. 2017;45(5):891-8. [PubMed ID: 28288026]. [PubMed Central ID: PMC5392157]. https://doi.org/10.1097/CCM.0000000000002324.
  • 12.
    Smith HA, Gangopadhyay M, Goben CM, Jacobowski NL, Chestnut MH, Savage S, et al. The Preschool Confusion Assessment Method for the ICU: Valid and Reliable Delirium Monitoring for Critically Ill Infants and Children. Crit Care Med. 2016;44(3):592-600. [PubMed ID: 26565631]. [PubMed Central ID: PMC4764386]. https://doi.org/10.1097/CCM.0000000000001428.
  • 13.
    Schieveld JN, van Tuijl S, Pikhard T. On nontraumatic brain injury in pediatric critical illness, neuropsychologic short-term outcome, delirium, and resilience. Crit Care Med. 2013;41(4):1160-1. [PubMed ID: 23528772]. https://doi.org/10.1097/CCM.0b013e31827bf658.
  • 14.
    Merkel L, Drouillard M, Wiggins S, Struwe L, Samson K. Identification of risk factors for emergence delirium in children undergoing magnetic resonance imaging. J Pediatr Nurs. 2025;80:129-36. [PubMed ID: 39608332]. https://doi.org/10.1016/j.pedn.2024.11.011.
  • 15.
    Zaal IJ, Devlin JW, Peelen LM, Slooter AJ. A systematic review of risk factors for delirium in the ICU. Crit Care Med. 2015;43(1):40-7. [PubMed ID: 25251759]. https://doi.org/10.1097/CCM.0000000000000625.
  • 16.
    Barr J, Fraser GL, Puntillo K, Ely EW, Gelinas C, Dasta JF, et al. Clinical practice guidelines for the management of pain, agitation, and delirium in adult patients in the intensive care unit. Crit Care Med. 2013;41(1):263-306. [PubMed ID: 23269131]. https://doi.org/10.1097/CCM.0b013e3182783b72.
  • 17.
    Turkel SB. Pediatric Delirium: Recognition, Management, and Outcome. Curr Psychiatry Rep. 2017;19(12):101. [PubMed ID: 29110102]. https://doi.org/10.1007/s11920-017-0851-1.
  • 18.
    Koch S, Stegherr AM, Rupp L, Kruppa J, Prager C, Kramer S, et al. Emergence delirium in children is not related to intraoperative burst suppression - prospective, observational electrography study. BMC Anesthesiol. 2019;19(1):146. [PubMed ID: 31395011]. [PubMed Central ID: PMC6688308]. https://doi.org/10.1186/s12871-019-0819-2.
  • 19.
    Dale CR, Kannas DA, Fan VS, Daniel SL, Deem S, Yanez N3, et al. Improved analgesia, sedation, and delirium protocol associated with decreased duration of delirium and mechanical ventilation. Ann Am Thorac Soc. 2014;11(3):367-74. [PubMed ID: 24597599]. [PubMed Central ID: PMC4028734]. https://doi.org/10.1513/AnnalsATS.201306-210OC.
  • 20.
    Alvarez RV, Palmer C, Czaja AS, Peyton C, Silver G, Traube C, et al. Delirium is a Common and Early Finding in Patients in the Pediatric Cardiac Intensive Care Unit. J Pediatr. 2018;195:206-12. [PubMed ID: 29395177]. https://doi.org/10.1016/j.jpeds.2017.11.064.
  • 21.
    Traube C, Silver G, Kearney J, Patel A, Atkinson TM, Yoon MJ, et al. Cornell Assessment of Pediatric Delirium: a valid, rapid, observational tool for screening delirium in the PICU*. Crit Care Med. 2014;42(3):656-63. [PubMed ID: 24145848]. [PubMed Central ID: PMC5527829]. https://doi.org/10.1097/CCM.0b013e3182a66b76.
  • 22.
    Navaeifar MR, Abbaskhanian A, Shahbaznejad L, Khoshkam M. [Translation, adaptation and validity assessment of the Cornell assessment of pediatric delirium scale in Persian language]. J Mazandaran Univ Med Sci. 2019;29(178):75-84. FA.
  • 23.
    Karimian M, Khalighi E, Salimi E, Borji M, Tarjoman A, Mahmoudi Y. The effect of educational intervention on the knowledge and attitude of intensive care nurses in the prevention of pressure ulcers. Int J Risk Saf Med. 2020;31(2):89-95. [PubMed ID: 32039864]. https://doi.org/10.3233/JRS-191038.
  • 24.
    Mohammadi HR, Erfani A, Sadeghi S, Komlakh K, Otaghi M, Vasig A. Investigating Factors Affecting Mortality Due to Spinal Cord Trauma in Patients Admitted to the Intensive Care Unit. Bull Emerg Trauma. 2024;12(3):136-41. [PubMed ID: 39391363]. [PubMed Central ID: PMC11462108]. https://doi.org/10.30476/beat.2024.103079.1517.
  • 25.
    Kianpour P, Hajali MH, Karbalaei-Musa H, Mourtami R, Pourfallah R, Najafi A, et al. Predictors of Mortality for Severe COVID-19: A Descriptive Analysis from an Intensive Care Unit of a Tertiary Care Center. Archives of Anesthesia and Critical Care. 2024.
  • 26.
    Delkash P, Sadeghi S, Sheikholeslami SA, Dehghani-Ghorbi M, Kharazmi AB. Incidence, Risk Factors, and Outcome of Ventilator-Associated Pneumonia in an Intensive Care Unit. Archives of Anesthesiology and Critical Care. 2025;11(3):331-5.
  • 27.
    Erfani A, Shabeeb HH, Jamshidi YA, Amin NG, Vasigh A. Updated Systematic Review and Meta-Analysis Delirium Prevalence in Iranian Hospitals’ Patients. Archives of Anesthesiology and Critical Care. 2025;11(3):393-401.
  • 28.
    Meyburg J, Dill ML, von Haken R, Picardi S, Westhoff JH, Silver G, et al. Risk Factors for the Development of Postoperative Delirium in Pediatric Intensive Care Patients. Pediatr Crit Care Med. 2018;19(10):e514-21. [PubMed ID: 30059477]. https://doi.org/10.1097/PCC.0000000000001681.
  • 29.
    Yu H, Sun X, Li P, Deng X. Prevalence and risk factors of emergence agitation among pediatric patients undergo ophthalmic and ENT Surgery: a cross-sectional study. BMC Pediatr. 2023;23(1):598. [PubMed ID: 37996779]. [PubMed Central ID: PMC10668514]. https://doi.org/10.1186/s12887-023-04434-y.
  • 30.
    Zhu X, Feng X, Lin J, Ding Y. Risk factors of delirium in paediatric intensive care units: A meta-analysis. PLoS One. 2022;17(7). e0270639. [PubMed ID: 35802701]. [PubMed Central ID: PMC9269883]. https://doi.org/10.1371/journal.pone.0270639.
  • 31.
    Beshah H. Incidence and Associated Factors of Emergence Delirium in Pediatric Patients Undergoing ENT Surgery at Tikur Anbessa Specialized Hospital. A Prospective Cross-sectional Study. Collective Journal of Pediatrics. 2025:1-7. https://doi.org/10.70107/collectjpediatr-art0066.
  • 32.
    Traube C, Ariagno S, Thau F, Rosenberg L, Mauer EA, Gerber LM, et al. Delirium in Hospitalized Children with Cancer: Incidence and Associated Risk Factors. J Pediatr. 2017;191:212-7. [PubMed ID: 29173309]. https://doi.org/10.1016/j.jpeds.2017.08.038.

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