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Abstract

Objective

The present study aimed to investigate patients’ characteristics that can affect the dose of propofol required to sedate children undergoing imaging.

Methods

In this retrospective, observational study, we reviewed medical records of children aged 0 to 18 years who were classified as having American Society of Anesthesiologists status 1 or 2 and they underwent imaging under propofol sedation between January 2011 and August 2016. Collected data included patients’ demographics, propofol doses, duration of sedation, and complications. Regression analysis was performed to determine patients’ characteristics that may affect the dose of propofol required to induce sedation.

Results

A total of 925 patients were included. Simple linear regression showed that the dose of propofol was correlated with age, height, weight, and body surface area. Using the results of multiple linear regression, the following formula was used to estimate the dose of propofol (mg) for sedation: 0.75 + 0.14 × age (months) + 45.82 × body surface area (m²).

Conclusion

A child’s age, height, and body surface area should be considered when deciding the induction dose of propofol. Additionally, the formula that we have proposed can be used to estimate the dose of propofol required to induce sedation in children undergoing imaging.

Keywords

Sedation propofol children pediatric imaging age body surface area

Introduction

Pediatric patients often undergo radiological examinations, such as computed tomography (CT) or magnetic resonance imaging (MRI). Children must remain motionless during such examinations so that accurate imaging can be obtained. The long duration of some imaging procedures, noise of the machines, and anxiety caused by being alone in a confined space can cause difficulty for pediatric patients in remaining still. Therefore, many children need to be sedated during radiological examinations.^1,2

When sedating children, determining the optimal dose of sedative medications is essential.^3,4 If the sedative dose is too low, children may wake up or move during the radiological examination, which can interrupt the procedure and impede the ability to obtain accurate imaging. Inadequately sedated children can also fall from the machine and become injured. Conversely, if the sedative dose is too high, it can lead to complications, such as hypotension, apnea, and airway obstruction. Because of anatomical and physiological differences, children are more prone to these complications of sedation than adults.^5,6 For these reasons, physicians often struggle to determine the most appropriate sedative doses for pediatric patients.

Sedative dosing strategies in children should consider the condition of the child, the type of examination or procedure, and the predicted degree of pain. Propofol is widely used for pediatric sedation owing to its rapid onset and rapid recovery.^7,8 However, there is no definitive guideline regarding the dosage of propofol for children undergoing radiological examinations.^9–11 Furthermore, the current guideline suggests a range of propofol doses for pediatric sedation based on only the child’s body weight. The physician must then choose the propofol dose within the suggested range, depending on his or her experience, preference, and the medical condition of the child. Therefore, understanding which patients’ characteristics can affect the sedative effect of propofol in children undergoing sedation for radiological examinations would be helpful.

The present study used regression analysis of retrospectively collected data from pediatric patients who successfully underwent sedation for radiological examinations without complications. This study aimed to identify patients’ characteristics that may affect the sedative effect of propofol. We also proposed a formula, which might be used as a reference to determine the propofol dose required to induce sedation in children undergoing radiological examinations.

Materials and Methods

Study population

In this retrospective, observational study, we analyzed medical records of children aged 0 to 18 years. These children were classified as having American Society of Anesthesiologist physical status 1 or 2 without complications and underwent propofol sedation for either a CT or MRI scan at a single tertiary medical center from 1 January 2011 to 31 August 2016. Patients were excluded from the analysis if they received any sedatives other than propofol before or during the examination, if there was evidence of a respiratory infection or uncorrected heart disease, or if there was incomplete documentation regarding demographic data or propofol dosing. The study protocol was approved by the ethics committee of Severance Hospital Yonsei University (IRB no.: 4-2016-0733). Informed consent was not required because this was a retrospective study.

Pediatric sedation protocol

Oxygen saturation by pulse oximetry, an electrocardiogram, non-invasive blood pressure, and end-tidal carbon dioxide were monitored throughout the radiological examinations. Patients received an intravenous injection of 0.004 mg/kg of glycopyrrolate followed by 1.5 mg/kg of propofol.

Loss of consciousness was defined as the absence of the eye lash reflex or the ability to apply a face mask without the child resisting. The sedation level was maintained at 4 to 6 points using the Modified Ramsay Sedation Scale. If the patient remained conscious, an additional 0.5 to 1.0 mg/kg of propofol was administered every minute until loss of consciousness was achieved. For examinations lasting longer than 20 minutes, a continuous infusion of propofol was administered at a rate of 25 to 100 µg/kg/minute. An additional dose of propofol was administered if the patient regained consciousness or moved during the examination.

Patients were transferred to the post-anesthesia recovery room after the radiological examinations. They were discharged when their hemodynamic values remained at 20% of baseline, their modified Aldrete recovery score was at least 9 points, they were fully conscious, and they could consume water without nausea or vomiting.

Data collection

Collected medical record data included demographic information (sex, age, weight, height, and body surface area [BSA]), diagnosis, type of procedure, total duration of the radiological examination, initial dose of propofol, additional doses of propofol and injection times, and total dose of propofol administered. Information on the incidence of complications, such as respiratory depression, airway obstruction, hypotension, bradycardia, and aspiration, was also collected. In this study, BSA was defined as follows: $\sqrt{weight (kg) \times height (cm) / 3600}$ . Successful sedation was defined as the loss of consciousness after injection of propofol, as well as no recovery of consciousness, considerable movement, or complications during the examination. The dose of propofol required to induce sedation was defined as the total dose administered until the patient lost consciousness. Respiratory depression was defined as the occurrence of desaturation (oxygen saturation by pulse oximetry < 90%), hypercapnia (end-tidal carbon dioxide > 50 mmHg), or apnea. Hypotension and bradycardia were diagnosed on the basis of normal values of blood pressure and pulse rate for the patient’s age. Children who experienced sedation-related complications were excluded from the regression analysis.

Statistical analysis

Linear regression analysis was used to determine the relationships between the patient’s sex, age, weight, height, BSA and the dose of propofol required to induce sedation. The results of regression analysis were then used to determine a formula that can estimate the dose of propofol required to induce sedation in children undergoing radiological examinations. The variance inflation factor (VIF) was checked for multiple collinearity before performing multiple linear regression. Multiple collinearity among independent variables, as indicated by a VIF value > 10, indicated that these variables could not be analyzed simultaneously using a single model. Therefore, these variables were analyzed using different models. Each model was visually inspected for linearity, heteroscedasticity, and normality of the residuals. Residual analysis was also performed using a studentized residual to verify normal distribution and isodispersion. A probability–probability plot was used to evaluate the skewness of the distribution. All analyses were performed using SAS version 9.4 (SAS Inc., Cary, NC, USA).

Results

After reviewing the medical records, 925 cases of successful sedation were included in the regression analysis. Table 1 shows the demographic data of the included patients. The median dose of propofol required to induce sedation was 2 mg/kg (interquartile ratio, 2–2.8 mg/kg).

Table 1.

Characteristics of the 925 children included in present study

Characteristics	n = 925
Sex
Boys	618 (66.8)
Girls	307 (33.2)
Median age, months	28.2 (12.6–52.8)
Median weight, kg	12 (9–16)
Median height, cm	89 (74.6–103)
Median BSA, m²	0.6 ( 0.5–0.7)
ASA class
I	120 (13.0)
II	805 (87.0)
Examination
CT	218 ( 23.6)
MRI	700 ( 75.7)
CT + MRI	7 ( 0.7)
Imaging site
Brain	476 (51.4)
Head and neck	142 (15.4)
Chest	22 (2.4)
Abdomen	72 (7.8)
Spine	182 (19.6)
Extremity	31 (3.4)

Values are median (interquartile range) or number (%).

BSA, body surface area; ASA, American Society of Anesthesiologists; CT, computed tomography; MRI, magnetic resonance imaging.

Simple linear regression analysis was performed to investigate the relationships between the dose of propofol required to induce sedation and sex, age, weight, height, and BSA (Table 2). There were significant associations between the dose of propofol required to induce sedation and age, weight, height, and BSA (all p < 0.001). Figure 1 shows scatter plots of the relationships between the dose of propofol required to induce sedation and the patients’ characteristics. The scatter plots show a tendency for the slope of the propofol dose to increase with increasing age, weight, height, and BSA.

Table 2.

Simple linear regression analysis between demographic data and the dose of propofol required to induce sedation for children during radiological examinations

	Dose of propofol required to induce sedation
	β (SE)	p value
Sex	0.083 (1.044)	0.937
Age (months)	0.421 (0.013)	<0.001
Height (cm)	0.512 (0.020)	<0.001
Weight (kg)	1.805 (0.052)	<0.001
BSA (m²)	63.867 (1.838)	<0.001

SE, standard error; BSA, body surface area.

Figure 1.

Simple linear regression between demographic characteristics and the dose of propofol required to induce sedation in children undergoing radiological examinations. (A) Age, (B) weight, (C) height, and (D) BSA

Multiple linear regression analysis was performed to determine the relationships between the dose of propofol required to induce sedation and two or more characteristics of children other than sex. The VIF of age, weight, height, and BSA was 5.7, 147.9, 43.9, and 318.8, respectively. The VIF of weight, height, and BSA showed multiple collinearity. Therefore, we were not able to simultaneously analyze these variables using the same model. Consequently, we used three models of age and weight together, age and height together, and age and BSA together (Table 3). Among the three models, the model of age and BSA had the highest adjusted R² value (0.612). Therefore, this model was selected as the best formula for estimating the dose of propofol required to induce sedation in children undergoing radiological examinations. The formula for estimating the propofol induction dose (mg) is as follows: 0.75 + 0.14 × age (months) + 45.82 × BSA (m²).

Table 3.

Regression equations describing the dose of propofol required to induce sedation taking into account age and other demographics (height, weight, and BSA)

Variables	Equation	Adjusted R²
Age, height	1.88 + 0.28 × age (months) + 0.236 × height (cm)	0.571
Age, weight	10.70 + 0.19 × age (months) + 1.13 × weight (kg)	0.596
Age, BSA	0.75 + 0.14 × age (months) + 45.82 × BSA (m²)	0.612

BSA, body surface area.

As shown in Figure 2, the data points appeared to be random with no particular tendency centering around zero. In addition, the probability–probability plot showed a nearly linear pattern, which indicated that normal distribution was an appropriate model for this data set (Figure 3).

Figure 2.

Residual plot between standardized and predicted values. The dependent variable was the induction dose of propofol for pediatric sedation

Figure 3.

Probability–probability plot for the induction dose of propofol in children undergoing radiological examinations. The dependent variable was the induction dose of propofol for pediatric sedation

Discussion

Several studies have evaluated the dose of propofol required for pediatric sedation.¹² However, these studies were performed in children who underwent various types of examinations and procedures. Unlike other types of examinations or procedures, children undergoing radiological examinations, such as CT or MRI, do not require an analgesic effect, but remaining motionless during the examination is crucial. Therefore, in this investigation, we focused on determining the propofol dose required to induce sedation in children undergoing radiological examinations.

To determine the propofol dose required to induce sedation in children undergoing radiological examinations, we performed regression analysis of data from the medical records of children who underwent successful sedation for radiological examinations. We found that, in addition to weight, age, height, and BSA affected the dose of propofol required to induce sedation in children. Using the results of the regression analysis, we found that the following formula can be used to estimate the dose of propofol required to induce sedation in children undergoing a radiological examination: 0.75 + 0.14 × age (months) + 45.82 × BSA (m²).

Current guidelines suggest that the dose of propofol required to induce pediatric sedation should be based only on the patient’s weight.^12,13 However, weight does not represent all aspects of a child’s growth and development. The present study suggests that age and BSA should be considered together when determining the dose of propofol required to induce sedation in pediatric patients undergoing radiological examinations. The results of the present study are consistent with those of a previous study by Karalea et al.¹⁴ However, in the present study, we reviewed more medical records of successfully sedated children than in Karalea et al.’s study¹⁴, and the children in our study only underwent radiological examinations.

Pharmacokinetic characteristics of propofol, such as volume of distribution and clearance, are affected by body composition, maturation of organ function, altered protein binding, and underlying disease. Children have a relatively larger volume of distribution and clearance than adults, and these characteristics change as the child grows.¹⁵ Therefore, unsurprisingly, age was a significant factor in the regression model in our study.

In the present study, we also found that BSA should be included in the regression formula to estimate the propofol dose required to induce sedation in children undergoing radiological examinations. There may be several reasons that including the child’s BSA in the formula shows a higher R² value than only including the child’s weight. BSA is correlated with metabolic rate, which is proportional to drug redistribution and metabolism. Furthermore, the volume of drug distribution is closely associated with extracellular fluid volume, which is more closely correlated with BSA than weight. Therefore, BSA should be considered when deciding the dose of propofol required to sedate children for radiological examinations.^16–19

In our study, the initial propofol dose administered was 1.5 mg/kg, which was followed by an additional 0.5 to 1.0 mg/kg every minute until loss of consciousness was achieved. Because the recorded dose of propofol might exceed the minimal dose required to induce sedation, we only included data from patients with no sedation-related complications. Therefore, the formula proposed in the present study may help physicians choose the optimal dose of propofol required to sedate children for radiological procedures.

Importantly, the present study only included children who underwent imaging studies, such as CT or MRI scans. There is generally no pain during such imaging studies, but children should remain motionless so that accurate imaging can be obtained. Other types of procedures for which children require sedation, such as reduction of fractures and laceration repair, require an analgesic effect and may require the child’s cooperation. Therefore, caution should be used when applying the formula proposed in this study to children undergoing sedation for non-radiological procedures.

The present study has several limitations. First, the data were retrospectively obtained from medical records. However, these data were recorded in detail as part of a quality improvement effort regarding pediatric sedation. Second, the data were recorded by pediatric sedation providers, which may have affected the results. Third, only healthy children classified as having American Society of Anesthesiologist physical status 1 or 2 were included in this analysis. Therefore, caution should be used when applying the results of this study to children who may be more susceptible to propofol-related complications. Finally, we did not take into account the effects of other medications that children were taking on the sedative effect of propofol.

Conclusions

In addition to weight, age, height, and BSA should be considered when deciding the dose of propofol required to sedate children for radiological examinations. Additionally, we have proposed a formula that can be used to estimate the dose of propofol required to induce sedation in children undergoing radiological examinations. However, further clinical investigations are required to validate this formula.

Footnotes

Author contributions

Yhen Seoung Kang and Jung Hwan Ho participated in collecting the patients’ data. Ji Young Min, Jeong-Rim Lee, and Hyo Jin Byon participated in organizing the materials and the design of the study, and performed statistical analysis. All authors read and approved the final manuscript.

Declaration of conflicting interest

The authors declare that there is no conflict of interest.

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported by a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number: HI16C0793).

ORCID iD

Hyo Jin Byon

References

Patanwala

Christich

Jasiak

, et al. Age-related differences in propofol dosing for procedural sedation in the Emergency Department. J Emerg Med 2013; 44: 823–828.

Cella

Knibbe

Danhof

, et al. What is the right dose for children? Br J Clin Pharmacol 2010; 70: 597–603.

Gomes

Miranda

Viana

, et al. Intranasal sedation using ketamine and midazolam for pediatric dental treatment (NASO): study protocol for a randomized controlled trial. Trials 2017; 18: 172.

Mason

Green

Piacevoli

, et al. Adverse event reporting tool to standardize the reporting and tracking of adverse events during procedural sedation: a consensus document from the World SIVA International Sedation Task Force. Br J Anaesth 2012; 108: 13–20.

Cravero

Beach

Blike

, et al. The incidence and nature of adverse events during pediatric sedation/anesthesia with propofol for procedures outside the operating room: a report from the Pediatric Sedation Research Consortium. Anesth Analg 2009; 108: 795–804.

Chidambaran

Tewari

Mahmoud

Anesthetic and pharmacologic considerations in perioperative care of obese children.

J Clin Anesth 2018; 45: 39–50.

Wakai

Blackburn

McCabe

, et al. The use of propofol for procedural sedation in emergency departments. Cochrane Database Syst Rev 2015; 2015: CD007399.

Chidambaran

Costandi

D'Mello

Propofol: a review of its role in pediatric anesthesia and sedation.

CNS Drugs 2015; 29: 543–563.

Biber

Allareddy

, et al. Prevalence and Predictors of Adverse Events during Procedural Sedation Anesthesia-Outside the Operating Room for Esophagogastroduodenoscopy and Colonoscopy in Children: Age Is an Independent Predictor of Outcomes. Pediatr Crit Care Med 2015; 16: e251–e259.

10.

Schulte

Goepfert

MS.

Anaesthesia or sedation for MRI in children.

Curr Opin Anaesthesiol 2010; 23: 513–517.

11.

Ramaiah

Bhananker

Pediatric procedural sedation and analgesia outside the operating room: anticipating, avoiding and managing complications.

Expert Rev Neurother 2011; 11: 755–763.

12.

Johnson

TN.

The problems in scaling adult drug doses to children. Arch Dis Child 2008; 93: 207–211.

13.

Roback

Carlson

Babl

, et al. Update on pharmacological management of procedural sedation for children. Curr Opin Anaesthesiol 2016; 29: S21–S35.

14.

Jasiak

Phan

Christich

, et al. Induction dose of propofol for pediatric patients undergoing procedural sedation in the emergency department. Pediatr Emerg Care 2012; 28: 440–442.

15.

Batchelor

Marriott

JF.

Paediatric pharmacokinetics: key considerations.

Br J Clin Pharmacol 2015; 79: 395–404.

16.

Sharkey

Boddy

Wallace

, et al. Body surface area estimation in children using weight alone: application in paediatric oncology. Br J Cancer 2001; 85: 23–28.

17.

Hughes

Harris

Cotterill

, et al. Comparison of weight- vs body surface area-based growth hormone dosing for children: implications for response. Clin Endocrinol (Oxf) 2014; 80: 384–394.

18.

Lack

Stuart Taylor

ME.

Calculation of drug dosage and body surface area of children.

Br J Anaesth 1997; 78: 601–605.

19.

Sawyer

Ratain

MJ.

Body surface area as a determinant of pharmacokinetics and drug dosing. Invest New Drugs 2001; 19: 171–177.

Pediatric characteristics and the dose of propofol for sedation during radiological examinations: a retrospective analysis

Abstract

Objective

Methods

Results

Conclusion

Keywords

Introduction

Materials and Methods

Study population

Pediatric sedation protocol

Data collection

Statistical analysis

Results

Discussion

Conclusions

Footnotes

Author contributions

Declaration of conflicting interest

Funding

ORCID iD

References