Factors Associated With Penicillin Allergy Labels in Electronic Health Records of Children in 2 Large US Pediatric Primary Care Networks.

2022

e222117

2022 Mar 01

2574-3805

<p><strong>Importance: </strong>Penicillin allergy labels influence clinical decision-making, yet most children who are labeled do not have type 1 hypersensitivity allergic reactions and instead have a history of predictable adverse reactions or unspecified illness symptoms while receiving penicillin for viral infections. Studies describing penicillin allergy labeling in the pediatric outpatient setting are lacking.</p>

<p><strong>Objective: </strong>To describe the epidemiology and factors associated with penicillin allergy labels across 2 large US pediatric primary care networks.</p>

<p><strong>Design, Setting, and Participants: </strong>This retrospective, longitudinal birth cohort study was conducted in 90 primary care pediatric practices serving a diverse population of children across Houston, Texas, Austin, Texas, Philadelphia, Pennsylvania, and parts of New Jersey. Participants were children born between January 2010 and June 2020 who had a health care visit in the first 14 days of life and at least 2 additional visits in the first year of life at one of 90 primary care pediatric practices. Censoring criteria were additionally applied to exclude data from children no longer seeking health care in the 90 clinics over time. Statistical analysis was performed from February to May 2021.</p>

<p><strong>Exposures: </strong>Basic patient demographics, health care utilization, penicillin exposure, and primary clinic location.</p>

<p><strong>Main Outcomes and Measures: </strong>Addition of penicillin allergy label in the electronic medical record.</p>

<p><strong>Results: </strong>Among 334 465 children in the birth cohort, 164 173 (49.1%) were female; 72 831 (21.8%) were Hispanic, 59 598 (17.8%) were non-Hispanic Black, and 148 534 (44.4%) were non-Hispanic White; the median (IQR) age at censoring was 3.8 (1.7-6.6) years; 18 015 (5.4%) were labeled as penicillin allergic, but the prevalence of penicillin allergy labeling ranged from 0.9% to 10.2% across practices. Children were labeled at a median (IQR) age of 1.3 (0.9-2.3) years. Non-Hispanic White children were more likely to be labeled compared with non-Hispanic Black children after controlling for potential confounders (adjusted odds ratio, 1.7 [95% CI, 1.6-1.8]). There were 6797 allergic children (37.7%) labeled after receiving 1 penicillin prescription and 1423 (7.9%) labeled after receiving 0 penicillin prescriptions.</p>

<p><strong>Conclusions and Relevance: </strong>In this cohort study of more than 330 000 children, penicillin allergy labeling was common and varied widely across practices. Children were labeled early in life, and almost half were labeled after receiving 1 or 0 penicillin prescriptions. These findings raise questions regarding the validity of penicillin allergy labels. Future work exploring the fidelity of and outcomes associated with penicillin allergy-labeling in children is warranted.</p>

10.1001/jamanetworkopen.2022.2117

JAMA Netw Open

35285918

Implementation of a Pragmatic Biomarker-Driven Algorithm to Guide Antibiotic Use in the Pediatric Intensive Care Unit: the Optimizing Antibiotic Strategies in Sepsis (OASIS) II Study.

2018

2018 Nov 22

2048-7207

<p><strong>Background: </strong>Biomarkers can facilitate safe antibiotic discontinuation in critically ill patients without bacterial infection.</p>

<p><strong>Methods: </strong>We tested the ability of a biomarker-based algorithm to reduce excess antibiotic administration in patients with systemic inflammatory response syndrome (SIRS) without bacterial infections (uninfected) in our pediatric intensive care unit (PICU). The algorithm suggested that PICU clinicians stop antibiotics if (1) C-reactive protein &lt;4 mg/dL and procalcitonin &lt;1 ng/mL at SIRS onset and (2) no evidence of bacterial infection by exam/testing by 48 hours. We evaluated excess broad-spectrum antibiotic use, defined as administration on days 3-9 after SIRS onset in uninfected children. Incidence rate ratios (IRRs) compared unadjusted excess length of therapy (LOT) in the 34 months before (Period 1) and 12 months after (Period 2) implementation of this algorithm, stratified by biomarker values. Segmented linear regression evaluated excess LOT among all uninfected episodes over time and between the periods.</p>

<p><strong>Results: </strong>We identified 457 eligible SIRS episodes without bacterial infection, 333 in Period 1 and 124 in Period 2. When both biomarkers were below the algorithm's cut-points (n = 48 Period 1, n = 31 Period 2), unadjusted excess LOT was lower in Period 2 (IRR, 0.53; 95% confidence interval, 0.30-0.93). Among all 457 uninfected episodes, there were no significant differences in LOT (coefficient 0.9, P = .99) between the periods on segmented regression.</p>

<p><strong>Conclusions: </strong>Implementation of a biomarker-based algorithm did not decrease overall antibiotic exposure among all uninfected patients in our PICU, although exposures were reduced in the subset of SIRS episodes where biomarkers were low.</p>

10.1093/jpids/piy113

J Pediatric Infect Dis Soc

30476186

Evaluation and referral for child maltreatment in pediatric poisoning victims.

2012

362-9

2012 Apr

1873-7757

<p><strong>OBJECTIVE: </strong>Although the majority of poisonings in young children are due to exploratory ingestions and might be prevented through improved caregiver supervision, the circumstances that warrant evaluation for suspected maltreatment and referral to Child Protective Services (CPS) are unclear. Therefore the objective of this study was to determine the percentage and characteristics of young poisoning victims who were evaluated for child maltreatment by the hospital team (social work and/or child protection team) and/or referred to CPS.</p>

<p><strong>METHODS: </strong>Retrospective study of poisoning victims&lt;6 years old seen at an urban children's hospital from 2006 to 2008. Logistic regression was performed to evaluate the associations between the outcomes (evaluation for maltreatment by hospital team and/or referral to CPS) and predictor variables (demographics and circumstances, type and severity of poisoning).</p>

<p><strong>RESULTS: </strong>Among 928 poisonings, 41% were from household products, 20% from over-the-counter drugs, 7% from prescription narcotics/sedatives, 29% from other prescription drugs, and ≤ 1% each from ethanol, illicit drugs, or other substances. Most children were asymptomatic (69%) or stable (28%); 3% were critically ill. Only 13% were evaluated by the hospital team and 4% were referred to CPS. Demographic characteristics were not associated with referral to CPS. Higher clinical severity was associated with increased referral (p&lt;0.001). Compared to poisonings with over-the-counter drugs, referrals were more likely for poisonings with ethanol and prescription narcotics/sedatives, but not other prescription drugs or household products (p&lt;0.001). All illicit drug poisonings and 44% of ethanol poisonings were referred. The majority of referrals to CPS were for concerns for illicit drugs, poor supervision or multiple forms of maltreatment; 6% were secondary to concerns for intentional poisoning.</p>

<p><strong>CONCLUSIONS: </strong>Evaluations and referrals to CPS for maltreatment are uncommon in young poisoning victims. Referrals occurred consistently for illicit drugs but not ethanol. Although referrals were more likely for higher severity poisonings, it is unclear if the severity of poisoning is associated with the level of supervisory neglect or a marker of ongoing risk to the child. These findings suggest the need to identify risk factors for ongoing harm and the development of clinical guidelines used to determine which poisoning victims should be referred to Child Protective Services.</p>

10.1016/j.chiabu.2012.01.001

Child Abuse Negl

22571909