Prevalence and Characteristics of Diagnostic Error in Pediatric Critical Care: A Multicenter Study.

OBJECTIVES: Effective interventions to prevent diagnostic error among critically ill children should be informed by diagnostic error prevalence and etiologies. We aimed to determine the prevalence and characteristics of diagnostic errors and identify factors associated with error in patients admitted to the PICU. DESIGN: Multicenter retrospective cohort study using structured medical record review by trained clinicians using the Revised Safer Dx instrument to identify diagnostic error (defined as missed opportunities in diagnosis). Cases with potential errors were further reviewed by four pediatric intensivists who made final consensus determinations of diagnostic error occurrence. Demographic, clinical, clinician, and encounter data were also collected. SETTING: Four academic tertiary-referral PICUs. PATIENTS: Eight hundred eighty-two randomly selected patients 0-18 years old who were nonelectively admitted to participating PICUs. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Of 882 patient admissions, 13 (1.5%) had a diagnostic error up to 7 days after PICU admission. Infections (46%) and respiratory conditions (23%) were the most common missed diagnoses. One diagnostic error caused harm with a prolonged hospital stay. Common missed diagnostic opportunities included failure to consider the diagnosis despite a suggestive history (69%) and failure to broaden diagnostic testing (69%). Unadjusted analysis identified more diagnostic errors in patients with atypical presentations (23.1% vs 3.6%, p = 0.011), neurologic chief complaints (46.2% vs 18.8%, p = 0.024), admitting intensivists greater than or equal to 45 years old (92.3% vs 65.1%, p = 0.042), admitting intensivists with more service weeks/year (mean 12.8 vs 10.9 wk, p = 0.031), and diagnostic uncertainty on admission (77% vs 25.1%, p < 0.001). Generalized linear mixed models determined that atypical presentation (odds ratio [OR] 4.58; 95% CI, 0.94-17.1) and diagnostic uncertainty on admission (OR 9.67; 95% CI, 2.86-44.0) were significantly associated with diagnostic error. CONCLUSIONS: Among critically ill children, 1.5% had a diagnostic error up to 7 days after PICU admission. Diagnostic errors were associated with atypical presentations and diagnostic uncertainty on admission, suggesting possible targets for intervention.

Catheter related thrombosis in hospitalized infants: A neural network approach to predict risk factors.

INTRODUCTION: We sought to investigate the predictors of catheter-related thrombosis (CRT) in a cohort of critically ill hospitalized infants and using a novel approach (the artificial neural network - ANN) in combination with conventional statistics to identify/confirm those predictors. METHODS: We performed a retrospective analysis of all infants with a central or peripherally inserted central venous catheter (CVC/PICC) between 2015 and 2018. ANN was generated to investigate the predictors of CRT. The predictive variables examined in the ANN were age, gender, weight, co-morbid conditions, line type, use of ultrasound (USG), emergent line placement, location of line tip, any major surgical procedures, use of mechanical ventilation, exposure to cardio-pulmonary bypass (CPB), past-history of CVC/PICC, or thrombosis. Binary logistic regression was performed to calculate odds ratios (ORs) and determine which factors were significant in predicting CRT. RESULTS: Of total of 613 infants, 59.9% of patients had a history of previous CVC or PICC and 12.2% had a history of thrombus as documented by USG in the past three months. CPB exposure was present in 48.1%. The incidence of CRT was 10.7%. Independent predictors of CRT were the line tip in IVC (OR: 2.37, 1.08-5.21, P = 0.032), history of thrombosis (OR: 2.40, 1.16-4.96, P = 0.019), previous CVC/PICC (OR: 2.80, 1.24-6.33, P = 0.014) and exposure to CPB (OR: 2.749, 1.08-6.98, P = 0.034). A sensitivity analysis was performed to determine the normalized importance of each variable used to create the ANN. The most important variables were age (with normalized importance of 100%), history of thrombosis, weight, and exposure to CPB (normalized importance of 68.2%). CONCLUSIONS: Nearly 1 in 10 infants developed CRT. We found that catheter tip in IVC, exposure to CPB, history of vein thrombosis and history of CVC/PICC placement in the past 3 months are independently associated with a higher risk of CRT in infants by using conventional and neural network methods.

Validation of risk assessment models for venous thromboembolism and bleeding in critically ill adolescents.

OBJECTIVE: To determine the performance of risk assessment models that were developed for adults, in predicting venous thromboembolism (VTE) and bleeding in critically ill adolescents. STUDY DESIGN: We conducted a retrospective cohort study of adolescents 12 to 17 years old admitted to the pediatric intensive care unit who received cardiopulmonary support but did not have VTE on admission nor received anticoagulation. Discrimination, using areas under the receiver operating characteristic (AUROC) and precision-recall (AUPRC) curves, and calibration, using Hosmer-Lemeshow test, of the Geneva, Padua, IMPROVE VTE and IMPROVE Bleed models were calculated. RESULTS: Of 536 adolescents analyzed, 7 (1.3%) developed VTE and 13 (2.4%) bled. AUROCs of the Geneva, Padua and IMPROVE VTE models ranged from 0.46 to 0.59, with 95% confidence intervals (CI) including 0.5. AUPRCs ranged from 0.011 to 0.017, with 95% CIs including 0.013. Only IMPROVE VTE model had non-statistically significant Hosmer-Lemeshow test. IMPROVE Bleed model had AUROC and AUPRC of 0.75 and 0.062, with 95% CIs excluding 0.5 and 0.024, respectively. Hosmer-Lemeshow test was not statistically significant. CONCLUSION: Despite similarities in coagulation between adolescents and adults, risk assessment models for VTE in adults should not be used for critically ill adolescents. The model for bleeding may be useful.

Outcomes associated with peripherally inserted central catheters in hospitalised children: a retrospective 7-year single-centre experience.

OBJECTIVES: The use of peripherally inserted central catheters (PICCs) are an integral part of caring for hospitalised children. We sought to estimate the incidence of and identify the risk factors for complications associated with PICCs in an advanced registered nurse practitioners (ARNP)-driven programme. DESIGN: Retrospective cohort study. SETTING: Single-centre, large quaternary children's hospital. PARTICIPANTS: Hospitalised children who had PICC inserted from 1 January 2010 to 31 December 2016. INTERVENTIONS: None. MEASUREMENT AND MAIN RESULTS: A total of 2558 PICCs were placed during the study period. Mean age at PICC insertion was 8.7 years, mean dwell time was 17.7 days. The majority of PICCs (97.8%) were placed by ARNP. Most were placed in a single attempt (79.6%). Mean PICC residual external length outside was 2.1±2.7 cm. The rate of central line-associated bloodstream infection (CLABSI), thrombosis and significant bleeding were 1.9%, 1% and 0.2%, respectively. The CLABSI rate in infants and early childhood was higher than those aged ≥5 years (2.8%, 3.1%, respectively vs 1.3%). In a multivariate analysis after adjustment of confounding effects of race and gender, infants (OR= 2.24, CI=1.14 to 4.39, p=0.02) and early childhood cohort (OR=2.37, CI=1.12 to 5.01, p=0.02) were associated with significantly higher odds of developing CLABSI compared with ≥5 years old. In the early childhood cohort, PICCs with longer residual external catheter length (OR=1.30, 95% CI=1.07 to 1.57, p=0.008) and those placed in the operating room (OR=5.49, 95% CI=1.03 to 29.19, p=0.04), were associated with significantly greater risk of developing CLABSI. CONCLUSIONS: The majority of PICCs were successfully placed by ARNPs on the first attempt and had a low incidence of complications. Infants required more attempts for successful PICC placement than older children. The presence of residual external catheter length and placement in the operating room were independent predictors of CLABSI in younger children.