Literature DB >> 33186400

Acute chemical ingestion in the under 19 population in South Korea: A brief report.

Jae Hee Lee1, Duk Hee Lee1.   

Abstract

BACKGROUND: Most people are frequently exposed to chemicals and chemical products. This study provides basic information on the outcomes of acute chemical ingestion of patients aged under 19 years.
METHODS: Patients aged under 19 years who had ingested chemicals and thus visited the emergency department between January 2011 and December 2016 were included in this study.
RESULTS: In all, 1,247 patients included (1,145 in the unintentional group and 102 in the intentional group). The mean age was 3.27±4.77 in the unintentional ingestion group and 16.49±1.94 in the intentional group. In the unintentional group, detergents were most frequently ingested (by 219 patients), followed by hypochlorite-based agents, ethanol, sodium hydroxide, acetone, silica gel, and citric acid. Cases of boric acid (odds ratio [OR] = 6.131), ethylene glycol (OR = 6.541), glacial acetic acid (OR = 7.644), other hydrocarbons (OR = 4.496), hypochlorite-based agent (OR = 2.627), nicotine (OR = 5.635), and sodium peroxocarbonate (OR = 6.783) ingestion was associated with a significantly high admission rate. In the intentional group, there were 54 cases of ingestion of hypochlorite-based agent, followed by detergent, ethylene glycol, ethanol, methanol and sodium peroxycarbonate. The significant risk factors for admission in the intentional group were ingestion of ethylene glycol (OR = 37.333) and hypochlorite-based agent (OR = 5.026). There was no mortality case.
CONCLUSION: The most commonly ingested substances were sodium hypochlorite (hypochlorite-related agent), surfactants (detergent and soap), and ethanol. The ingestion of hypochlorite or ethylene glycol was the main risk factor for admission. Intentional ingestion was higher in adolescents than in children.

Entities:  

Year:  2020        PMID: 33186400      PMCID: PMC7665788          DOI: 10.1371/journal.pone.0242430

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Up to 100,000 industrial chemicals are used each day in the United States [1]. Due to industrial development, humans are being increasingly exposed to chemicals [2]. Children are especially sensitive and vulnerable to exposed chemicals because their bodies are small and still developing [3]. In addition, their cognitive and behavioral processes are also developing, so there are many unintended and unrecognized effects of chemical poisonings [4, 5]. According to the 2017 National Poison Data System Annual Report from The American Association of Poison Control Centers (AAPCC), about 60% of all poisoning exposure occurred in children and young adults aged under 20 years. Among children under five years, unintentional exposure accounts for more than half of the exposure rate, and the substances that commonly cause poisoning are cosmetic and personal care products and household cleaning substances [6]. As such, children account for a large proportion of acute poisoning patients. However, prevalence and outcomes of chemical ingestion in South Korea are not known, since chemical exposure data system are usually focused on chemical accidents or industrial exposure, and there are no data on the exposure of pediatric patients to chemicals [7, 8]. Among the different type of chemical exposures, ingestion is more likely to cause systemic effects than skin or eye exposure. In this study, we analyzed the characteristics of patients under the age of 19 years who visited the emergency department (ED) for acute chemical ingestion to identify the patterns of chemical poisoning and improve the treatment strategies for such patients.

Materials and methods

Setting and data collection

This study retrospectively analyzed data from 2011 to 2016 recorded in the Emergency Department based Injury In-depth Surveillance that is monitored by the Korea Disease Control and Prevention Agency (KCDA) that was implemented in 2006 and involved 20 organizations from 2011 to 2014 and 23 organizations since 2015. The system collects data on epidemiology, treatment and outcomes of patients with injuries. Each hospital employs personnel responsible for data entry and quality control that are regularly trained and supervised by the KCDA. Chemical ingestion was defined as the occurrence of injured patients who visited the ED with the mechanism of intoxication by artificial toxic substances. Toxic substances were classified according to the KCDA Toxic Substance Classification guidelines. This study involved patients aged < 19 years who met the criteria of chemical ingestion. Patients over 20 years of age and those with no information on intentionality or ED treatment results were excluded.

Outcome measures

In the surveillance system, if the mechanism of injury is poisoning, the substance must be classified according to a specific code, and the general name or product name of the substance must be entered. In this study, two emergency physicians and one chemist identified and categorized the main components of the ingested chemicals. The incidence of chemical ingestions were classified into intentional and unintentional ingestion; the two groups were compared, and subgroup analysis was performed according to the types of chemicals reported. Data on the general characteristics, namely sex, age, mode of ED arrival, and the type of insurance were compared. The following data related to the injury were analyzed: the period from the time of injury to arrival at the ED, the place where the injury occurred, the activity being carried out at the time of injury, alcohol ingestion before the injury, date of the visit, time of the visit, and duration of the ED stay. To compare the severity of the patients (general ward [GW]) admission or intensive care unit [ICU] care), data on treatment results and mortality were analyzed.

Statistical analysis

We compared and analyzed the general characteristics and injury characteristics of the intentional and unintentional groups. The means and standard deviations are presented for continuous variables, and the number of patients and percentage are expressed for non-continuous variables. For items requiring statistical verification, an independent t-test was used for continuous variables and Chi-squared test or Fisher’s exact test was used for non-continuous variables. Multiple logistic regression analysis was performed to determine the risk of hospital admission. Statistical analyses were performed using SPSS for Windows ver. 21 (IBM, Armonk, NY, USA). P values <0.05 were considered statistically significant.

Compliance with ethical standards

The study complied with the Declaration of Helsinki, was approved by the institutional review board (IRB) of Ewha Womans’ University Mok-dong hospital (IRB No.2019-08-006). The informed consent for gathering the data related ED visit was obtained from all participating patients or patients’ parents/guardians by the KCDA according to National Research Committee.

Results

From 2011 to 2016, 1,247 cases met the inclusion criteria of this study. The percentage of males was 55.8% and the mean age was 4.46 years in the total patients. There were 1,145 patients (91.8%) in the unintentional group and 102 cases (8.2%) in the intentional group. Comparison of general characteristics of patients aged ≤19 in the intentional and unintentional groups, admitted to the emergency department for chemical ingestion during 2011–2016 (Table 1)
Table 1

Comparison of general characteristics of patients aged ≤19 in the intentional and unintentional groups, admitted to the emergency department for chemical ingestion during 2011–2016.

UnintentionalIntentionalTotalp-value
N%N%N%
No. of patients114591.8%1028.2%1247100%
Sex<0.000
    Male66057.6%3635.3%69655.8%
    Female48542.4%6664.7%55144.2%
Age (yrs, mean±SD)3.27(4.77)16.49(1.94)4.46(5.95)<0.000
Mode of arrival0.713*
    Walk-in (car, by foot, etc.)85374.5%8179.4%93474.9%
    11917315.1%1211.8%18514.8%
    Private ambulance11610.1%98.8%12510.0%
    Others20.2%00.0%20.2%
    Unknown10.1%00.0%10.1%
Time interval from injury to ED visit (h)9.59(37.23)14.12(43.17)9.87(37.54)0.246
Insurance0.765*
    National health insurance94982.9%8785.3%103683.1%
    Vehicle15913.9%1312.7%17213.8%
    Medicaid beneficiary171.5%22.0%191.5%
    Self-pay (uninsured)171.5%00.0%171.4%
    Others30.3%00.0%30.2%
Place0.005*
    House103990.7%8381.4%112290.0%
    Residential facility70.6%32.9%100.8%
    School, education facility322.8%54.9%373.0%
    Amusement, cultural public facility70.6%32.9%100.8%
    Commercial facility302.6%22.0%322.6%
    111.0%32.9%141.1%
    Other†151.3%22.0%171.4%
    Unknown40.3%11.0%50.4%
Activity<0.000*
    Work80.7%00.0%80.6%
    Unpaid labor60.5%00.0%60.5%
    Education232.0%00.0%231.8%
    Leisure12110.6%00.0%1219.7%
    Daily living activity97084.7%11.0%97177.9%
    Other‡141.2%10199.0%1159.2%
    Unknown30.3%00.0%30.2%
Alcohol ingestion before injury<0.000*
    No112097.8%7371.6%119395.7%
    Yes121.0%1817.6%302.4%
    Unknown131.1%1110.8%241.9%
Day of presentation0.281
    Weekday (Mon-Thu)64456.2%6361.8%70756.7%
    Weekend (Fri-Sun)50143.8%3938.2%54043.3%
Time of presentation<0.000
    Day35130.7%2726.5%37830.3%
    Evening67158.6%4140.2%71257.1%
    Night12310.7%3433.3%15712.6%
ED stay (h)29.69(62.68)16.71(6.84)28.46(59.79)<0.000
ED treatment result<0.000
    Discharge101989.0%5553.9%107486.1%
    General ward12310.7%3635.3%15912.8%
    Intensive care unit30.3%1110.8%141.1%
Hospital mortality00.0%00.0%00.0%

Quantitative data are expressed as mean (standard deviation), and categorical data are presented as number of subjects (%). Independent t-test was used for continuous variable analysis, while Chi-squared test or Fisher’s exact test* was used for categorical variable analysis. Other† includes medical facilities, sports facilities, roads, transportation areas except roads, factories, and industrial facilities. Other‡ includes exercise, hospital treatment, and travel.

Quantitative data are expressed as mean (standard deviation), and categorical data are presented as number of subjects (%). Independent t-test was used for continuous variable analysis, while Chi-squared test or Fisher’s exact test* was used for categorical variable analysis. Other† includes medical facilities, sports facilities, roads, transportation areas except roads, factories, and industrial facilities. Other‡ includes exercise, hospital treatment, and travel. The mean patient age was 3.27±4.77 years in the unintentional group and 16.49±1.94 years in the intentional group. The proportion of females in the intentional group was 64.7%, which was higher than that in the unintentional group (42.4%). In the unintentional group, 90.7% of the ingestion incidents occurred at home. In the intentional group, most incidents occurred at residential and amusement facilities and cultural/public facilities. Regarding activity at the time of injury, ingestion in the unintentional group occurred during daily living (84.7%) and leisure (10.6%) activities. The proportion of alcohol ingestion before injury was 17.6% in the intentional group and 1.0% in the unintentional group. Patients in the unintentional group visited the ED mainly in the evening, and those in the intentional group, mainly at night. Further, 89.0% of the patients in the intentional group were discharged from the ED. In the intentional group, 53.9% were discharged from the ED, 35.3% were admitted to GW, and 10.8% were admitted to ICU. The mortality rate of the study sample was zero. The top five chemicals ingested by patients aged <20 years in the unintentional and intentional ingestion groups at emergency department admission in South Korea, 2011–2016 (Table 2)
Table 2

The top five chemicals ingested by patients aged <20 years in the unintentional and intentional ingestion groups at emergency department admission in South Korea, 2011–2016.

ChemicalTotal NAge groupadmission
~5 yrs6~12yrs13~19yrs
Unintentional
Number of cases114595976110126
Top 5 agent
    Detergents/soaps-anionic and nonionic219192 (87.7)10 (4.6)17 (7.8)16 (7.3)
    Hypochlorite-based agents195143 (73.3)23 (11.8)29 (14.9)36 (18.5)
    Ethanol137116 (84.7)1 (0.7)20 (14.6)6 (4.4)
    Sodium hydroxide6557 (87.7)6 (9.2)2 (3.1)5 (7.7)
    Acetone5752 (91.2)3 (5.3)2 (3.5)6 (10.5)
Intentional
Number of cases102049847
Top 5 agent
    Hypochlorite-based agents540 (0.0)1 (1.9)53 (98.1)28 (51.9)
    Detergents/soaps-anionic and nonionic100 (0.0)0 (0.0)10 (100.0)2 (20.0)
    Ethylene glycol90 (0.0)0 (0.0)9 (100.0)8 (88.9)
    Ethanol40 (0.0)0 (0.0)4 (100.0)2 (50.0)
    Methanol40 (0.0)0 (0.0)4 (100.0)1 (25.0)

Data are presented as number of subjects (percentages).

Data are presented as number of subjects (percentages). In the unintentional groups, detergents accounted for 219 of the 1,145 cases, followed by hypochlorite-related agents, ethanol, sodium hydroxide, and acetone. We analyzed the frequency of chemical agents by dividing the sample into three age groups: 0–5 years old, 6–12 years old, and 13–19 years. Nine hundred fifty-nine (83.8%) patients were aged under 5 years; in this group, the most commonly ingested substances were detergents, hypochlorite-based agents, and ethanol. Seventy-six patients were aged 6–12 years, and they primarily ingested hypochlorite-based agents and detergents. Finally, the third consisted of 110 patients, and the most commonly ingested substances were hypochlorite-based agents, ethanol, and detergents. A total of 126 patients in the unintentional group were admitted to the hospital, of which 36, 16, and 6 had ingested hypochlorite-based agents, detergents, and ethanol or acetone, respectively. In the intentional group, 54 patients had ingested hypochlorite-based agents; the others had ingested detergents, ethylene glycol, ethanol, and methanol. On dividing the ages into three groups, there were no patients in the group of patients aged under 5 years, four in the 6–12 years group, and 98 (96%) in the 13–19 years group; 47 patients were admitted to the ICU: 28 had ingested hypochlorite-based agents, eight, ethylene glycol, two, detergent, and two, ethanol. Unintentional chemical ingestion in patients (<20 years) in the discharge and admission subgroups, South Korea, 2011–2016 (Tables 3 and 4)
Table 3

General characteristics of unintentional chemical ingestion in patients (<20 years) in the discharge and admission subgroups, South Korea, 2011–2016.

DischargeAdmissionTotalp-value
N%N%N%
No. of patients101989%12611%1145100%
Sex
    Male58357.2%7761.1%66057.6%0.403
    Female43642.8%4938.9%48542.4%
Age (yrs, mean±SD)3.06(4.54)4.98(6.06)3.27(4.77)0.001
Time interval from injury to ED visit (h)9.90(38.83)7.05(19.92)9.59(37.23)0.417
Place0.520*
    House92390.6%11692.1%103990.7%
    Residential facility50.5%21.6%70.6%
    School, education facility272.6%54.0%322.8%
    Amusement, cultural public facility70.7%00.0%70.6%
    Commercial facility282.7%21.6%302.6%
    Outdoor, river, sea101.0%10.8%111.0%
    Other†151.5%00.0%151.3%
    Unknown40.4%00.0%40.3%
Activity0.102*
    Work80.8%00.0%80.7%
    Unpaid labor50.5%10.8%60.5%
    Education212.1%21.6%232.0%
    Leisure11311.1%86.3%12110.6%
    Daily living activity86084.4%11087.3%97084.7%
    Other‡101.0%43.2%141.2%
    Unknown20.2%10.8%30.3%
ED stay (h)31.98(66.09)11.23(0.61)29.69(62.68)<0.000

Quantitative data are expressed as mean (standard deviation), and categorical data are presented as number of subjects (%). Independent t-test was used for continuous variable analysis, while the chi-squared test or Fisher’s exact test* for categorical variable analysis. Other† included medical facilities, sports facilities, roads, transportation areas except roads, and factories and industrial facilities. Other‡ included exercise, hospital treatment, and travel.

Table 4

Multivariate analysis of unintentional chemical ingestion in patients (<20 years) in the admission subgroup.

Exp(B)95% C.I. for EXP(B)Sig.
LowerUpper
Age1.0681.0321.105<0.000
Boric acid6.1311.85220.2930.003
Ethylene glycol6.5411.00842.4460.049
Glacial acetic acid7.6442.02728.8220.003
Other hydrocarbon4.4961.36614.8010.013
Hypochlorite-based agents2.6271.6634.152<0.000
Nicotine5.6352.65511.959<0.000
Sodium peroxocarbonate6.7832.42119.002<0.000
Quantitative data are expressed as mean (standard deviation), and categorical data are presented as number of subjects (%). Independent t-test was used for continuous variable analysis, while the chi-squared test or Fisher’s exact test* for categorical variable analysis. Other† included medical facilities, sports facilities, roads, transportation areas except roads, and factories and industrial facilities. Other‡ included exercise, hospital treatment, and travel. A total of 126 patients in the unintentional group were admitted to the ED: 36, 16, and six patients had ingested hypochlorite-based agents, detergent, and ethanol or acetone, respectively. The characteristics of the admitted and discharged patients in the unintentional group were compared. The mean age of admitted patients was 4.98 years, which was significantly higher than that of the discharge group (3.06 years). In addition, there were no significant differences in sex, place of poisoning, activity, alcohol ingestion, and time of presentation, which were significantly different between the admitted and discharged patients (Table 3). Regression analysis was performed to identify the risk factors for admission in the unintentional groups. As shown in Table 3, the variables that showed significant differences in univariate analysis were age and duration of ED stay. However, ED stay was excluded because it was not a factor that contributed to the severity of the patient. Therefore, in the multiple logistic regression, age and ingested chemicals were selected and implemented, and the significant variables obtained by backward stage selection (likelihood ratio) are presented in Table 4. Boric acid (OR = 6.131), ethylene glycol (OR = 6.541), glacial acetic acid (OR = 7. 644), other hydrocarbons (OR = 4.496), hypochlorite related agents (OR = 2.627), nicotine (OR = 5.635), and sodium peroxycarbonate (OR = 6.783) ingestion significantly increased the admission rate. (Table 4)

Discussion

Considering the high rate of industrialization, numerous chemicals are being produced and distributed, resulting in increasing intentional and unintentional exposure to harmful substances [9]. To prevent exposure to lethal chemicals, the current exposure situation must be analyzed. Data on chemical exposure in industrial working environments or due to accidents are collected and reported in various government offices. However, there are no data on chemical exposure in everyday life in South Korea [10]. Almost all patients complaining of acute chemical exposure are admitted to the ED, but people facing chronic exposure to chemicals because of unsafe work environments may not visit the hospital. In the United States, detailed reporting on exposure and poisoning, including drugs and chemicals, is performed annually based on monitoring standards for toxic substances [3, 6]. These data have been used to conduct studies on chemical poisoning [11]. In South Korea, no institution or organization monitors exposure or treatment for poisoning. The ED-based injury surveillance (including intoxication) system is the only available nationwide data can be used for epidemiological investigations and clinical analysis of acute poisoning. In this study, we analyzed the data of patients aged under 19 years who visited the ED for chemical ingestion. The most frequently ingested chemicals were sodium hypochlorite (hypochlorite-based agents), surfactants (detergents and soap), and ethanol. The most frequently ingested chemicals requiring admission were sodium hypochlorite, surfactant, nicotine, and ethylene glycol. A total of 91.8% of all chemical ingestions were unintentional. Analysis of the unintentional ingestion stratified by age showed that 83.6% of the patients were aged under 5 years. The overall rate intentional ingestion accounted for 8.2%. In the 13-18-year-old-group, 96.1% of the cases were intentional ingestion cases. The 6-12- year-old group had the lowest frequency of total chemical ingestion (6.4%). (S1 Table) Children aged 1–5 years become increasingly mobile with age; this enables their exploratory behavior and increases their accessibility of different objects. However, since children in this age group are unable to make accurate decisions, many incidents of unintentional/non-food poisoning occur [12]. Children between 6 and 12 years accounted for the lowest proportion of childhood poisoning cases. The incidence of intentional poisoning, especially suicide attempts, is found to be high in the population aged above 13 years as is the rate of addiction [4, 11]. In this study, sodium hypochlorite ingestion accounted for the highest percentage of admitted patients and was a risk factor for admission in both the intentional and unintentional ingestion groups. Hypochlorite agents are commonly used at home for bleaching, discoloring, and mold removal. Low concentrations of 3% - 5% hypochlorite agents used for household purpose can irritate the skin but do not cause serious burns. Industrial hypochlorite agents have a concentration of 20% hypochlorite and can cause corrosive injury and pulmonary irritation [13]. In this study, hypochlorite ingestion was associated with a high rate of hospitalization but did not cause fatal damage leading to death, possibly because the majority of the hypochlorite agents ingested were domestic-use agents, given that 90% of the poisonings incidents had occurred at home. Detergent and soap ingestion accounted for the second highest proportion of total and admitted patients. Soap and liquid detergents are known to cause little or no fatal damage in small doses. However, when ingested, they may cause nausea and vomiting, so symptomatic treatment may be necessary, depending on the severity [14]. Ethylene glycol ingestion was a risk factor for admission in the unintentional group. Ethylene glycol is a colorless, odorless liquid and is widely used as a car antifreeze solution. Ethylene glycol has toxic effects resulting from the metabolite produced by alcohol dehydrogenase, and patients who ingest ethylene glycol have a serious prognosis. Metabolic acidosis and kidney injury can occur. Antidote (ethanol and fomepizole) administration and dialysis should be considered for these patients [15, 16]. A limitation of this study was that the types of chemicals were not specifically classified in the data collection phase. Since the initial data only recorded the general chemical names, the components were identified based on the product names entered in the system, and reclassification was needed. It is advisable to collect detailed information in the data collection stage. In addition, the absence of information on the amount and concentration of the chemicals further limited the data analysis process.

Conclusion

According to the results, the most commonly ingested chemicals were sodium hypochlorite (hypochlorite-related agents), surfactants (detergents and soap), and ethanol. The overall mortality in our sample was zero. Hypochlorite and ethylene glycol ingestion were risk factors for admission. The incidence of intentional ingestion was higher in adolescents than in children. This is a useful resource for the prevention and management of chemical poisoning and for anticipatory guidance on chemical ingestion in pediatric and adolescent populations.

Total incidence and admission of chemical ingestion in children at ED by age group, South Korea, 2011–2016.

(DOCX) Click here for additional data file. 6 Oct 2020 PONE-D-20-27951 Clinical outcomes of acute chemical ingestions in pediatrics and adolescents admitted to Emergency department, South Korea PLOS ONE Dear Dr. Duk Hee Lee, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. After a statistician analysis we conclude that the sample size is too small especially for intentional group. Some crucial factors were not measured or reported.  We recommend the authors to simplify the analysis and re-write the manuscript as a brief report. 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The PLOS ONE style templates can be found at https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf 2. We note that you have indicated that data from this study are available upon request. PLOS only allows data to be available upon request if there are legal or ethical restrictions on sharing data publicly. For information on unacceptable data access restrictions, please see http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions. In your revised cover letter, please address the following prompts: a) If there are ethical or legal restrictions on sharing a de-identified data set, please explain them in detail (e.g., data contain potentially identifying or sensitive patient information) and who has imposed them (e.g., an ethics committee). 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The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Partly ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: No ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The retrospective study reported the major types of chemical poisoning agents in pediatrics patients who visited ED in South Korea from 2011 to 2016 and accessed the associations between hospital admission and potential risk factors. The authors published a similar study for adult patients using the same database, study design and analytic methods. The sample size of intentional group is too small to be analyzed using multiple logistic regression with so many dummy covariates. Most of chemical ingestions cannot be included in analysis due to a lack of cases. The result of multivariable analysis of intentional chemical ingestion for admission is bias. I recommend to simplify the analysis and re-write the manuscript as a brief report. For pediatrics especially for young age kids, exposure concentrations / doses and period from time of arrival to ED admission are crucial factors. However, the authors didn’t collect and report the corresponding data. It may bring significant bias by ignoring those two factors. Are there any clinical/statistical reasons to divide the ages into three groups? It makes the tables too complicated and may dilute the primary take home message. For categorical characteristics with more than two categories, it is suspected and tedious to report p-values of Chi-square tests of each category without multiple adjustment. I recommend to perform one single Chi-square test for categorical characteristics and report a single p-value. Almost all patients in intentional group reported “Other” for activity (101/102). Is there free text clarification available in database? Reporting total in tables is tedious. Also, for sex and day of presentation, reporting one category is good enough. The author didn’t clearly illustrate covariates and the corresponding variable selection method used in multiple logistic regression. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. 27 Oct 2020 I appreciate your careful reading and proper comments. Reviewer #1: The retrospective study reported the major types of chemical poisoning agents in pediatrics patients who visited ED in South Korea from 2011 to 2016 and accessed the associations between hospital admission and potential risk factors. The authors published a similar study for adult patients using the same database, study design and analytic methods. The sample size of intentional group is too small to be analyzed using multiple logistic regression with so many dummy covariates. Most of chemical ingestions cannot be included in analysis due to a lack of cases. The result of multivariable analysis of intentional chemical ingestion for admission is bias. I recommend to simplify the analysis and re-write the manuscript as a brief report. RESPONSE: We agree that multiple logistic regression is not appropriate because the sample size of the intentional group is small. After analyzing the study population by dividing it into intentional and unintentional ingestion groups, subgroup analysis was conducted only for the unintentional group. The analysis was simplified and edited in the form of a brief report. For pediatrics especially for young age kids, exposure concentrations / doses and period from time of arrival to ED admission are crucial factors. However, the authors didn’t collect and report the corresponding data. It may bring significant bias by ignoring those two factors. RESPONSE: The lack of information on the concentration and amount of chemicals is a clear limitation of this study, but I think it makes sense to understand the common types of chemicals ingested by pediatric patients. The period from arrival to admission to ED is indicated in the table as “Time Interval from Injury to ED Visit” (Tables 1 and 3), and there was no significant difference between the discharge and admitted subgroups in the unintended ingestion group. Are there any clinical/statistical reasons to divide the ages into three groups? It makes the tables too complicated and may dilute the primary take home message. RESPONSE: We agree with your opinion that the classification is difficult to understand. However, among children, the characteristics of the preschool age, school age, and adolescent age are very different. The same criteria have been used in the “2017 Annual Report of the American Association of Poison Control Centers’ National Poison Data System (NPDS): 35th Annual Report” to analyze the distribution by age group. For categorical characteristics with more than two categories, it is suspected and tedious to report p-values of Chi-square tests of each category without multiple adjustment. I recommend to perform one single Chi-square test for categorical characteristics and report a single p-value. RESPONSE: The analysis was re-run to derive a single p-value, and Fisher's exact test was used when the expected count for less than 5 cells was 25% or more. Almost all patients in the intentional group reported “Other” for activity (101/102). Is there free text clarification available in the database? RESPONSE: The free text clarification is summarized as follows: Statistics Activity_others N Valid 102 Missing 0 Activity_others Frequency Percent Valid Percent Cumulative Percent Valid 1 1.0 1.0 1.0 Toxic ingestion 2 2.0 2.0 2.9 Suicide 21 20.6 20.6 23.5 Suicide/self-harm 1 1.0 1.0 24.5 For suicide 3 2.9 2.9 27.5 Suicidal attempt 35 34.3 34.3 61.8 Suicidal attempt/self-harm 1 1.0 1.0 62.7 Self-harm 13 12.7 12.7 75.5 Self-harm or suicide 2 2.0 2.0 77.5 Attempt of self-harm 1 1.0 1.0 78.4 Self-harm, suicide 3 2.9 2.9 81.4 Self-harm/suicide 1 1.0 1.0 82.4 Self-harm suicide 18 17.6 17.6 100.0 Total 102 100.0 100.0 Reporting total in tables is tedious. Also, for sex and day of presentation, reporting one category is good enough. RESPONSE: Reflecting your point of view, we have categorized the items with a frequency less than 0.5% as “others” and added a description at the bottom of the table. The author didn’t clearly illustrate covariates and the corresponding variable selection method used in multiple logistic regression. RESPONSE: As shown in Table 3, among the variables collected in this study, the variables that showed significant differences in the univariate analysis were age and ED stay. However, ED stay was excluded because it was not a factor that contributed to the severity of the patient. Therefore, in the multiple logistic regression, age and ingested chemicals were selected and implemented, and significant variables obtained by backward stage selection (likelihood ratio) are presented in Table 4. This explanation is added to the text. 3 Nov 2020 Acute chemical ingestion in the under 19 population in South Korea: a brief report PONE-D-20-27951R1 Dear Dr. Hee Lee, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Martina Crivellari Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: 5 Nov 2020 PONE-D-20-27951R1 Acute chemical ingestion in the under 19 population in South Korea: a brief report Dear Dr. Lee: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Martina Crivellari Academic Editor PLOS ONE
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