OBJECTIVES

Acetaminophen poisoning occurs in all age groups; however, hospital-based outcomes of children with these poisonings were not well characterized. Our objectives were to describe the incidence, characteristics, and outcomes of hospital stays in children with acetaminophen poisoning and evaluate the contribution of intentionality.

METHODS

We used the 2016 Kids’ Inpatient Database and validated International Classification of Diseases, 10th Revision diagnostic codes to identify hospitalizations of children aged 0 to 19 years for acetaminophen poisoning. We used standard survey methods to generate weighted population estimates and describe characteristics and outcomes, both overall and stratified by intentionality.

RESULTS

There were 9935 (95% confidence interval [CI], 9252–10 619) discharges from acute care hospitals for acetaminophen poisoning in U.S. children aged 0 to 19 years during 2016, corresponding to a population rate of 12.1 (95% CI, 11.3–12.9) hospitalizations per 100 000 children. Most hospitalizations for both intentional and unintentional acetaminophen poisoning occurred in females, with a strongly age-related sex distribution. Median length of stay was 2 days (interquartile range, 1–4 days); however, nearly half of discharges were subsequently transferred to another type of facility (eg, psychiatric hospital). Median hospital charges for acute care were $14 379 (interquartile range, $9162–$23 114), totaling $204.7 million (95% CI, $187.4–$221.9) in aggregate. Of 31 632 hospital discharges associated with self-harm medication poisoning in children aged 0 to 19 years, acetaminophen was the single most commonly implicated agent.

CONCLUSIONS

Acetaminophen poisoning was the most common cause of U.S. hospital stays associated with medication self-harm poisoning. More effective acetaminophen poisoning prevention strategies are needed, which may reduce the burden of this common adolescent malady.

Pediatric suicide attempts by medication self-poisoning have risen substantially in recent years.1,2  Acetaminophen is one of the most common over-the-counter medications sold in the United States, and its easy accessibility may be influential in children and adolescents who attempt suicide by self-poisoning. Data characterizing acetaminophen-related hospitalizations and outcomes are needed to help address rising rates of suicide and develop novel interventions to prevent the tragedy of a successful suicide attempt.

Whether intentional or not, acetaminophen poisonings occur in all age groups and have drawn heavily on the resources of poison control centers, emergency departments, and inpatient units.3,4  The literature to date largely describes the care of adults with acetaminophen poisoning5,6  or combines data for children and adults3,710  such that pediatric specific conclusions are difficult to ascertain. Less detailed information about outcomes is available about hospitalizations of children and adolescents,3,8,11  particularly in the context of self-poisoning.4,7  Previous studies that included hospitalizations of children and adolescents were comprised of predominately adult patients.3,8  In these studies, rates of admission, gender, intentionality, hepatotoxicity, and mortality were not separately reported from the adult population. One pediatric study of adverse drug-related hospitalizations and emergency department visits included those with acetaminophen poisoning but excluded those related to self-poisoning.4  In addition, the rate and outcomes of acute care hospitalizations attributed to all acetaminophen poisonings in children have not been evaluated in the last 10 years.

The objectives of this study were to use a nationally representative inpatient data set to describe the incidence, patient characteristics, and outcomes of pediatric hospitalizations related to acetaminophen poisoning in the United States and evaluate the contribution of intentionality. These findings may inform development of medication poisoning, suicide prevention strategies, and targeted interventions.

This retrospective analysis used hospital discharge data from the 2016 Kids’ Inpatient Database (KID), which is part of the Healthcare Cost and Utilization Project (HCUP) sponsored by the Agency for Healthcare Research and Quality.12  The KID is a public-use administrative data set comprised of: (1) a 10% random sample of discharge records for uncomplicated birth hospitalizations, and (2) an 80% random sample of discharge records for all other pediatric inpatient and observation stays in each nonfederal, short-term general and specialty hospital in participating states. The KID does not include stays in psychiatric facilities. For 2016, the KID contains data on >3 million (unweighted) discharges of children aged <21 years in 4200 U.S. hospitals in 46 states. It includes discharge-level information, including patient demographics, payer, hospital-assigned diagnostic and procedure codes, length of stay (LOS), total hospital charges, and discharge disposition. The KID sample can be used to generate national estimates for hospital stays of children and adolescents in the United States. Exact results are suppressed when ≤10 to maintain anonymity in accordance with the HCUP data use agreement.

We used previously validated International Classification of Diseases, 10th Revision, (ICD-10) discharge diagnostic codes to identify U.S. hospitalizations associated with acetaminophen13  and self-harm medication poisonings.14  ICD-10 codes for intentional self-harm poisoning previously demonstrated a positive predictive value of up to 91% in adolescents.15  A complete list of included ICD-10 codes is available in the Supplemental Table 3. There were no exclusions from the identified population.

Demographic and clinical variables included: age, sex, payer, household income (quartile by zip code), discharge codes indicating mental health diagnosis, intentionality, mechanical ventilation, hepatotoxicity, liver transplantation (during the same stay), LOS (unweighted), unadjusted hospital charges, and discharge disposition, which included in-hospital mortality.

Analysis was restricted to discharges of patients aged 0 to 19 years. We used survey methods recommended by the HCUP to generate weighted national population estimates and to describe characteristics and outcomes. Variances were estimated within domains and strata using models that included all data in the KID sample and accounted for sampling weights and clustering at the hospital level. Specifically, we calculated annual hospitalization rates using the estimated number of acetaminophen ingestion-related discharges (and their confidence limits) as numerators and U.S. Census estimates (assuming no variance) for children aged 0 to 19 years as denominators.16  We further restricted our secondary analysis to patients aged 10 to 19 years and assessed characteristics associated with intentionality using unadjusted odds ratios. All estimates are based on nonmissing values in the KID sample, and associated confidence intervals (CIs) were generated under the (conservative) assumption that missing values were not missing completely at random.17 

Analyses were conducted in SAS (SAS Institute, Cary, NC). Our institutional review board waived formal review of this study protocol.

Of the 31 632 hospital discharges in 2016 associated with a principal or secondary diagnosis of self-harm medication poisoning in children aged 0 to 19 years, acetaminophen was the most commonly implicated agent and accounted for 27.0% (95% CI, 26.2–27.8) of discharges. Of 37 404 discharges assigned to a diagnosis-related group indicating poisoning and toxic effects of drugs, the single most common principal diagnosis code (T391 × 2A) was acetaminophen-related and was listed for 15.7% (95% CI, 15.2%–16.2%) of discharges.

There were 9935 discharges (95% CI, 9252–10 619) from acute care hospitals for acetaminophen poisoning in children aged 0 to 19 years during 2016 (Table 1). This corresponded to a population rate of 12.1 hospitalizations per 100 000 children in the United States (95% CI, 11.3–12.9). The rate reached a peak of 35.5 discharges per 100 000 (95% CI, 33.2–37.7) in adolescents aged 15 to 19 years. In all, 85.9% of discharges for acetaminophen poisoning had a code indicating self-harm. Almost two-thirds (60.9%) were attributed to acetaminophen ingestion alone, as opposed to in combination with another medication. Similarly, 84.8% of all discharges for acetaminophen poisoning had a concurrent mental health diagnosis (eg, depression, anxiety) upon discharge. The majority of hospitalizations for both intentional and unintentional acetaminophen poisoning occurred in females, and the sex-distribution patients was strongly related to age (Fig 1). Median LOS was 2 days (interquartile range [IQR], 1–4 days), but almost half of discharges were associated with transfer to another type of facility, such as a psychiatric unit or hospital. The median LOS was 2 days (IQR, 1–4 days) for stays associated with discharge to home care and 2 days (IQR, 1–3 days) for those associated with transfer to another type of health care facility. Liver transplantation occurred in ≤10 discharges. Similarly, in-hospital death occurred in ≤10 discharges. Median unadjusted hospital charges for acute care were $14 379 (IQR, $9162–$23 114), totaling $204.7 million (95% CI, $187.4 –$221.9) in aggregate.

FIGURE 1

US hospital discharges of children for acetaminophen poisoning, by patient age, sex, and intentionality, 2016.

FIGURE 1

US hospital discharges of children for acetaminophen poisoning, by patient age, sex, and intentionality, 2016.

Close modal
TABLE 1

Characteristics and Outcomes of US Hospitalizations in Children and Adolescents With a Discharge Diagnosis Indicating Acetaminophen Poisoning, 2016

Characteristic or OutcomeEstimated US Hospital Discharges (Weighted n = 9935)
Na%a95% CIa
Age, y    
 0–4 227 2.3 1.9–2.6 
 5–9 48 0.5 0.3–0.7 
 10–14 2164 21.8 20.6–23.0 
 15–19 7496 75.5 74.2–76.7 
Sex, female 7886 79.4 78.4–80.0 
Race/ethnicity    
 White, non-Hispanic 5203 58.3 56.4–60.3 
 Black, non-Hispanic 1209 13.6 12.3–14.8 
 Hispanic 1607 18.0 16.2–19.8 
 Other 899 10.1 9.0–11.1 
Primary expected payer    
 Public 4235 42.7 41.2–44.1 
 Private 4650 46.8 45.3–48.3 
 Other 1043 10.5 9.6–11.4 
Household income quartile by zip code    
 1 (lowest) 2644 26.9 25.1–28.8 
 2 2358 24.0 22.6–25.4 
 3 2660 27.1 25.7–28.5 
 4 (highest) 2150 21.9 20.0–23.8 
Discharge code indicating mental health diagnosis 8426 84.8 83.6–86.0 
Discharge code indicating intentional self-harm    
 Not intentional self-harm, eg, accidental, NOS 1405 14.1 13.2–15.1 
 Intentional self-harm: acetaminophen only 5194 52.3 51.0–53.5 
 Intentional self-harm: co-ingestion with additional agent(s) 3336 33.6 32.3–34.8 
Mechanical ventilation 254 2.6 2.2–2.9 
Hepatotoxicity 575 5.8 5.1–6.5 
Liver transplantation ≤10b N/Ab N/Ab 
Died during hospital stay ≤10b N/Ab N/Ab 
Discharge disposition    
 Routine 4964 50.1 48.0–52.2 
 Transfer to another type of health care facilityc 4378 44.2 42.0–46.4 
 Transfer to another short-term hospital 466 4.7 3.9–5.5 
 Other, including hospital deathd 100 1.0 0.8–1.3 
Characteristic or OutcomeEstimated US Hospital Discharges (Weighted n = 9935)
Na%a95% CIa
Age, y    
 0–4 227 2.3 1.9–2.6 
 5–9 48 0.5 0.3–0.7 
 10–14 2164 21.8 20.6–23.0 
 15–19 7496 75.5 74.2–76.7 
Sex, female 7886 79.4 78.4–80.0 
Race/ethnicity    
 White, non-Hispanic 5203 58.3 56.4–60.3 
 Black, non-Hispanic 1209 13.6 12.3–14.8 
 Hispanic 1607 18.0 16.2–19.8 
 Other 899 10.1 9.0–11.1 
Primary expected payer    
 Public 4235 42.7 41.2–44.1 
 Private 4650 46.8 45.3–48.3 
 Other 1043 10.5 9.6–11.4 
Household income quartile by zip code    
 1 (lowest) 2644 26.9 25.1–28.8 
 2 2358 24.0 22.6–25.4 
 3 2660 27.1 25.7–28.5 
 4 (highest) 2150 21.9 20.0–23.8 
Discharge code indicating mental health diagnosis 8426 84.8 83.6–86.0 
Discharge code indicating intentional self-harm    
 Not intentional self-harm, eg, accidental, NOS 1405 14.1 13.2–15.1 
 Intentional self-harm: acetaminophen only 5194 52.3 51.0–53.5 
 Intentional self-harm: co-ingestion with additional agent(s) 3336 33.6 32.3–34.8 
Mechanical ventilation 254 2.6 2.2–2.9 
Hepatotoxicity 575 5.8 5.1–6.5 
Liver transplantation ≤10b N/Ab N/Ab 
Died during hospital stay ≤10b N/Ab N/Ab 
Discharge disposition    
 Routine 4964 50.1 48.0–52.2 
 Transfer to another type of health care facilityc 4378 44.2 42.0–46.4 
 Transfer to another short-term hospital 466 4.7 3.9–5.5 
 Other, including hospital deathd 100 1.0 0.8–1.3 

NOS, not otherwise specified; N/A, not available.

a

Weighted numbers and percentages are national estimates based on statistical methods recommended by HCUP. Subtotals for some characteristics do not equal the grand total because of missing values. Percentages for subgroups may not total 100% because of rounding. CIs were estimated under the assumption that missing values were not missing completely at random.

b

Exact estimate (≤10) suppressed in accordance with HCUP data use agreement.

c

Includes skilled nursing facilities, intermediate care facilities, and other types of facilities (which include psychiatric hospitals and dedicated psychiatric units within short-term hospitals).

d

Includes home health care, against medical advice, court/law, destination unknown, and hospital death.

Acetaminophen poisoning hospitalizations were then restricted to ages 10 to 19 years old and stratified by intentionality (Table 2). There were significant univariate associations between intentional self-poisoning and being 10 to 14 years old, female, privately insured, in the top income quartile, and having a comorbid mental health diagnosis. Adolescents with intentional poisoning were also more likely to be transferred to another type of facility (including psychiatric facilities).

TABLE 2

Characteristics and Outcomes of US Hospitalizations in Children and Adolescents 10 to 19 Years Old With Acetaminophen Poisoning, According to Whether Discharge Codes Indicated Intentional Self-Harm, 2016

Characteristic or OutcomeNot Intentional Self-Harm (Weighted n = 1131)Intentional Self-Harm (Weighted n = 8530)Unadjusted Odds Ratio for Association with Intentional Self-Harm
Na(%)aNa(%)aEstimate95% CIa
Age, y       
 10–14 203 18.0 1961 23.0 Ref 
 15–19 927 82.0 6569 77.0 0.73 0.61–0.88 
Sex, female 595 72.0 6953 81.5 1.71 1.45–2.02 
Primary expected payer       
 Public 504 44.6 3558 41.7 Ref 
 Private 491 43.4 4084 47.9 1.18 1.01–1.38 
 Other 136 12.0 640 11.4 0.92 0.72–1.18 
Household income quartile by zip code       
 1 (lowest) 307 27.5 2236 26.6 Ref 
 2 286 25.7 2004 23.8 0.96 0.77–1.19 
 3 296 26.5 2294 27.2 1.06 0.87–1.30 
 4 (highest) 226 20.3 1889 22.4 1.14 0.92–1.42 
Discharge code indicating mental health diagnosis 748 66.1 7664 89.8 4.53 3.77–5.44 
Mechanical ventilation 32 2.9 212 2.5 0.86 0.54–1.37 
Hepatotoxicity 87 10.5 441 5.2 0.46 0.36–0.59 
Liver transplantation ≤10b N/Ab ≤10b N/Ab N/Ab N/A 
Died during hospital stay ≤10b N/Ab ≤10b N/Ab N/Ab N/A 
Discharge disposition       
 Routine 874 77.4 3839 45.1 Ref 
 Transfer to another type of health care facilityc 186 16.4 4190 49.3 5.14 4.17–6.39 
 Transfer to another short-term hospital 46 4.0 411 4.8 2.04 1.40–2.99 
 Other (including death)d 24 2.1 64 0.8 0.82 0.47–1.41 
Characteristic or OutcomeNot Intentional Self-Harm (Weighted n = 1131)Intentional Self-Harm (Weighted n = 8530)Unadjusted Odds Ratio for Association with Intentional Self-Harm
Na(%)aNa(%)aEstimate95% CIa
Age, y       
 10–14 203 18.0 1961 23.0 Ref 
 15–19 927 82.0 6569 77.0 0.73 0.61–0.88 
Sex, female 595 72.0 6953 81.5 1.71 1.45–2.02 
Primary expected payer       
 Public 504 44.6 3558 41.7 Ref 
 Private 491 43.4 4084 47.9 1.18 1.01–1.38 
 Other 136 12.0 640 11.4 0.92 0.72–1.18 
Household income quartile by zip code       
 1 (lowest) 307 27.5 2236 26.6 Ref 
 2 286 25.7 2004 23.8 0.96 0.77–1.19 
 3 296 26.5 2294 27.2 1.06 0.87–1.30 
 4 (highest) 226 20.3 1889 22.4 1.14 0.92–1.42 
Discharge code indicating mental health diagnosis 748 66.1 7664 89.8 4.53 3.77–5.44 
Mechanical ventilation 32 2.9 212 2.5 0.86 0.54–1.37 
Hepatotoxicity 87 10.5 441 5.2 0.46 0.36–0.59 
Liver transplantation ≤10b N/Ab ≤10b N/Ab N/Ab N/A 
Died during hospital stay ≤10b N/Ab ≤10b N/Ab N/Ab N/A 
Discharge disposition       
 Routine 874 77.4 3839 45.1 Ref 
 Transfer to another type of health care facilityc 186 16.4 4190 49.3 5.14 4.17–6.39 
 Transfer to another short-term hospital 46 4.0 411 4.8 2.04 1.40–2.99 
 Other (including death)d 24 2.1 64 0.8 0.82 0.47–1.41 

N/A, not available; Ref, reference.

a

Numbers, percentages, and odds ratios are weighted national estimates based on statistical methods recommended by HCUP. Subtotals for some characteristics may not equal grand totals because of missing values. Percentages for subgroups may not total 100% because of rounding. CIs were estimated under the assumption that missing values were not missing completely at random.

b

Information suppressed per HCUP data use agreement (cell size ≤10).

c

Includes skilled nursing facilities, intermediate care facilities, and other types of facilities (which include psychiatric hospitals and dedicated psychiatric units within short-term hospitals).

d

Includes home health care, against medical advice, court/law, destination unknown, hospital death, and invalid information.

Our findings demonstrated that acetaminophen poisoning was the most common cause of U.S. hospitalizations associated with medication poisoning in children and adolescents in 2016. These hospitalizations were common, occurring an average of 27 times per day or >1 every hour. The majority occurred in adolescent females and were related to self-harm with acetaminophen alone or in combination with other medications. Although these hospital stays were typically brief, associated with charges comparable to typical pediatric stays,18  and rarely linked to severe outcomes (transplantation, death), almost half were transferred to other types of facilities (eg, psychiatric units) that would be expected to add (uncaptured) charges to total charges for each episode of care.

U.S. hospital discharges of children with acetaminophen poisoning have remained high and constant since the late 1990s.3  Discharges in 2016 were more often in females (79.8%) and attributed to intentional ingestion (85.0%), which are similar to findings reported in studies of previous time periods and/or countries.3,7,8,1921  We found very few adolescent admissions for unintentional acetaminophen self-poisoning. This is in contrast to the sizable proportion of adults hospitalized for “therapeutic misadventures.”19,22  Discharges without an associated intentionality code had a significantly higher likelihood (10.5%) of having a diagnosis code for hepatotoxicity; the clinical significance of this, if any, is unknown. Discharges with codes indicating intentional poisoning were more likely to occur in the younger adolescent age group (10–14 years) than discharges coded for nonintentional ingestion. Our results show that U.S. hospitalizations related to acetaminophen poisoning peaked at age 16 years in females but continued to rise throughout adolescence in males, particularly in those with intentional self-harm. This may suggest that different interventions are needed based on gender and age.

Acetaminophen poisoning remains prevalent despite extensive prevention efforts, including altering packaging, adding package insert warnings, and regulating acetaminophen-containing prescription products.23  Although child-resistant packaging has been effective in reducing accidental medication poisoning in young children,24  effective strategies to reduce intentional acetaminophen poisoning in adolescents have not been established. As adolescent suicide attempts by self-poisoning continue to rise substaintially,1,2  development of prevention strategies should be a top priority. Moreover, intentional ingestions may reveal modifiable risk factors for future self-harm attempts because the majority of these encounters are also coded for a mental health diagnosis. Admissions for self-poisoning may provide an opportunity to identify and treat underlying mental health conditions,20  and hopefully intervene before a successful suicide attempt.

Findings of this observational study should be taken in the context of its limitations. KID discharge-level data limit evaluation of patient risk factors associated with acetaminophen poisoning and preexisting mental health diagnoses and preclude describing the full extent of care across health care settings. Although we speculate that those transferred to another acute care facility were transferred to a tertiary care children's hospital, it is not possible to establish person-level linkage of related hospital discharge records and we cannot differentiate the type of acute care hospital in KID. Thus, it is possible that some patients who were transferred to another acute care hospital were captured more than once in our analysis. KID data elements also do not distinguish between transfers to skilled nursing facilities and transfers to other types of nonacute-care facilities such as psychiatric facilities. Finally, identification of acetaminophen poisoning hospitalizations depends on discharge diagnosis coding accuracy. Although we applied previously validated codes for acetaminophen ingestion13,14  and self-harm ingestion15  with a positive predictive value of up to 91.3% in adolescents (95% CI, 86.6–94.8), it is surprising that 54% of hospitalizations for unintentional ingestion had a mental health diagnosis at discharge. The limitations of discharge-level observational data precluded us from investigating these relationships further in this study. Recent changes in discharge diagnosis coding from ICD-9 to ICD-10 prevented us from assessing trends in acetaminophen poisoning over time.

Acetaminophen poisoning remained a frequent reason for pediatric hospitalization in the United States in 2016, particularly in adolescents. Future studies that evaluate the trend of acetaminophen poisonings, as well as their outcomes, are important next steps. Additional prevention strategies, identification of at-risk individuals, and targeted interventions are needed to reduce the burden of this common problem.

FUNDING: No external funding.

Dr Shadman conceptualized and designed the study, participated in the analysis and interpretation of the data, drafted the initial manuscript, and reviewed and revised the manuscript; Dr Edmonson preformed the analysis, participated in the interpretation of the data, and reviewed and revised the manuscript; Drs Coller and Sklansky and Ms Nacht and Ms Zhao participated in the analysis and interpretation of the data, and reviewed and revised the manuscript; Dr Kelly conceptualized and designed the study, participated in the interpretation of the data, and reviewed and revised the manuscript; and all authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.

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Competing Interests

CONFLICT OF INTEREST DISCLOSURE: The authors have indicated they have no potential conflicts of interest to disclose.

Supplementary data