TY - JOUR
T1 - Predictive value of clinician "gestalt" in pediatric community- acquired pneumonia
AU - Gao, Hans M.
AU - Ambroggio, Lilliam
AU - Shah, Samir S.
AU - Ruddy, Richard M.
AU - Florin, Todd A.
N1 - Funding Information:
FUNDING: Supported by the National Institutes of Health National Institute of Allergy and Infectious Diseases (K23AI121325 to Dr Florin and K01AI125413 to Dr Ambroggio), the Gerber Foundation (to Dr Florin), National Institutes of Health National Center for Research Resources, and Cincinnati Center for Clinical and Translational Science and Training (5KL2TR000078 to Dr Florin). The funders did not have any role in the study design, data collection, statistical analysis, or article preparation. Funded by the National Institutes of Health (NIH).
Publisher Copyright:
© 2021 by the American Academy of Pediatrics.
PY - 2021/5/1
Y1 - 2021/5/1
N2 - OBJECTIVES: Validated prognostic tools for pediatric community-acquired pneumonia (CAP) do not exist. Thus, clinicians rely on "gestalt"in management decisions for children with CAP. We sought to determine the ability of clinician gestalt to predict severe outcomes. METHODS: We performed a prospective cohort study of children 3 months to 18 years old presenting to a pediatric emergency department (ED) with lower respiratory infection and receiving a chest radiograph for suspected CAP from 2013 to 2017. Clinicians reported the probability that the patient would develop severe complications of CAP (defined as respiratory failure, empyema or effusion, lung abscess or necrosis, metastatic infection, sepsis or septic shock, or death). The primary outcome was development of severe complications. RESULTS: Of 634 children, 37 (5.8%) developed severe complications. Of children developing severe complications after the ED visit, 62.1% were predicted as having ,10% risk by the ED clinician. Sensitivity was .90% at the ,1% predicted risk threshold, whereas specificity was .90% at the 10% risk threshold. Gestalt performance was poor in the low-intermediate predicted risk category (1%-10%). Clinicians had only fair ability to discriminate children developing complications from those who did not (area under the receiver operator characteristic curve 0.747), with worse performance from less experienced clinicians (area under the receiver operator characteristic curve 0.693). CONCLUSIONS: Clinicians have only fair ability to discriminate children with CAP who develop severe complications from those who do not. Clinician gestalt performs best at very low or higher predicted risk thresholds, yet many children fall in the low-moderate predicted risk range in which clinician gestalt is limited. Evidence-based prognostic tools likely can improve on clinician gestalt, particularly when risk is low-moderate.
AB - OBJECTIVES: Validated prognostic tools for pediatric community-acquired pneumonia (CAP) do not exist. Thus, clinicians rely on "gestalt"in management decisions for children with CAP. We sought to determine the ability of clinician gestalt to predict severe outcomes. METHODS: We performed a prospective cohort study of children 3 months to 18 years old presenting to a pediatric emergency department (ED) with lower respiratory infection and receiving a chest radiograph for suspected CAP from 2013 to 2017. Clinicians reported the probability that the patient would develop severe complications of CAP (defined as respiratory failure, empyema or effusion, lung abscess or necrosis, metastatic infection, sepsis or septic shock, or death). The primary outcome was development of severe complications. RESULTS: Of 634 children, 37 (5.8%) developed severe complications. Of children developing severe complications after the ED visit, 62.1% were predicted as having ,10% risk by the ED clinician. Sensitivity was .90% at the ,1% predicted risk threshold, whereas specificity was .90% at the 10% risk threshold. Gestalt performance was poor in the low-intermediate predicted risk category (1%-10%). Clinicians had only fair ability to discriminate children developing complications from those who did not (area under the receiver operator characteristic curve 0.747), with worse performance from less experienced clinicians (area under the receiver operator characteristic curve 0.693). CONCLUSIONS: Clinicians have only fair ability to discriminate children with CAP who develop severe complications from those who do not. Clinician gestalt performs best at very low or higher predicted risk thresholds, yet many children fall in the low-moderate predicted risk range in which clinician gestalt is limited. Evidence-based prognostic tools likely can improve on clinician gestalt, particularly when risk is low-moderate.
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U2 - 10.1542/peds.2020-041582
DO - 10.1542/peds.2020-041582
M3 - Article
C2 - 33903161
AN - SCOPUS:85105325246
SN - 0031-4005
VL - 147
JO - Pediatrics
JF - Pediatrics
IS - 5
M1 - e2020041582
ER -