Neonatal Kawasaki disease: Case report and literature review

Assessing ChatGPT's Capability for Multiple Choice Questions Using RaschOnline: Observational Study

BACKGROUND

ChatGPT (OpenAI), a state-of-the-art large language model, has exhibited remarkable performance in various specialized applications. Despite the growing popularity and efficacy of artificial intelligence, there is a scarcity of studies that assess ChatGPT's competence in addressing multiple-choice questions (MCQs) using KIDMAP of Rasch analysis-a website tool used to evaluate ChatGPT's performance in MCQ answering.

OBJECTIVE

This study aims to (1) showcase the utility of the website (Rasch analysis, specifically RaschOnline), and (2) determine the grade achieved by ChatGPT when compared to a normal sample.

METHODS

The capability of ChatGPT was evaluated using 10 items from the English tests conducted for Taiwan college entrance examinations in 2023. Under a Rasch model, 300 simulated students with normal distributions were simulated to compete with ChatGPT's responses. RaschOnline was used to generate 5 visual presentations, including item difficulties, differential item functioning, item characteristic curve, Wright map, and KIDMAP, to address the research objectives.

RESULTS

The findings revealed the following: (1) the difficulty of the 10 items increased in a monotonous pattern from easier to harder, represented by logits (-2.43, -1.78, -1.48, -0.64, -0.1, 0.33, 0.59, 1.34, 1.7, and 2.47); (2) evidence of differential item functioning was observed between gender groups for item 5 (P=.04); (3) item 5 displayed a good fit to the Rasch model (P=.61); (4) all items demonstrated a satisfactory fit to the Rasch model, indicated by Infit mean square errors below the threshold of 1.5; (5) no significant difference was found in the measures obtained between gender groups (P=.83); (6) a significant difference was observed among ability grades (P<.001); and (7) ChatGPT's capability was graded as A, surpassing grades B to E.

CONCLUSIONS

By using RaschOnline, this study provides evidence that ChatGPT possesses the ability to achieve a grade A when compared to a normal sample. It exhibits excellent proficiency in answering MCQs from the English tests conducted in 2023 for the Taiwan college entrance examinations.

Kawasaki disease in neonates: a case report and literature review

BACKGROUND

Kawasaki disease (KD) is an acute systemic vasculitis of unknown etiology that affects infants and young children but is extremely rare in neonates, especially afebrile KD. We present a case of KD without fever in a neonate and review the literature on KD in neonates.

CASE PRESENTATION

A newborn female was hospitalized because her peripheral blood leukocytes increased for half a day. The admission diagnosis was considered neonatal sepsis and bacterial meningitis. She had no fever since the admission, but a rash appeared on her face by the 7th day. On day 11 after admission, there was a desquamation on the distal extremities. On day 15 after admission, ultrasound showed non-suppurative cervical lymphadenopathy. Echocardiogram revealed coronary artery aneurysms in both sides. Finally, the patient was diagnosed with incomplete KD (IKD). The follow-up echocardiogram showed that the internal diameter of both coronary arteries returned to normal three months after birth.

CONCLUSIONS

Fever, rash, and distal extremity desquamation during the recovery phase are the most common symptoms of IKD. When newborns present with clinical manifestations such as rash, distal extremity desquamation and cervical lymph adenitis and with an increased peripheral blood leukocyte count and progressive increase in platelets simultaneously, the medical staff should be highly alert to the possibility of KD even without fever. The echocardiogram needs to be performed promptly. The incidence of coronary artery lesions is significantly higher if neonatal KD patients miss timely diagnosis and treatment.

Assessing ChatGPT's capacity for clinical decision support in pediatrics: A comparative study with pediatricians using KIDMAP of Rasch analysis

BACKGROUND

The application of large language models in clinical decision support (CDS) is an area that warrants further investigation. ChatGPT, a prominent large language models developed by OpenAI, has shown promising performance across various domains. However, there is limited research evaluating its use specifically in pediatric clinical decision-making. This study aimed to assess ChatGPT's potential as a CDS tool in pediatrics by evCDSaluating its performance on 8 common clinical symptom prompts. Study objectives were to answer the 2 research questions: the ChatGPT's overall grade in a range from A (high) to E (low) compared to a normal sample and the difference in assessment of ChatGPT between 2 pediatricians.

METHODS

We compared ChatGPT's responses to 8 items related to clinical symptoms commonly encountered by pediatricians. Two pediatricians independently assessed the answers provided by ChatGPT in an open-ended format. The scoring system ranged from 0 to 100, which was then transformed into 5 ordinal categories. We simulated 300 virtual students with a normal distribution to provide scores on items based on Rasch rating scale model and their difficulties in a range between -2 to 2.5 logits. Two visual presentations (Wright map and KIDMAP) were generated to answer the 2 research questions outlined in the objectives of the study.

RESULTS

The 2 pediatricians' assessments indicated that ChatGPT's overall performance corresponded to a grade of C in a range from A to E, with average scores of -0.89 logits and 0.90 logits (=log odds), respectively. The assessments revealed a significant difference in performance between the 2 pediatricians (P < .05), with scores of -0.89 (SE = 0.37) and 0.90 (SE = 0.41) in log odds units (logits in Rasch analysis).

CONCLUSION

This study demonstrates the feasibility of utilizing ChatGPT as a CDS tool for patients presenting with common pediatric symptoms. The findings suggest that ChatGPT has the potential to enhance clinical workflow and aid in responsible clinical decision-making. Further exploration and refinement of ChatGPT's capabilities in pediatric care can potentially contribute to improved healthcare outcomes and patient management.

Multisystem inflammatory syndrome in neonates associated with SARS-CoV-2 infection, a different entity?

BACKGROUND: Multisystemic inflammatory syndrome in children (MIS-C) is a novel disease that is associated with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV2). MIS-C usually affects children older than 5 years of age and adolescents, with a median of 8-years and an interquartile range of 3 to 11 years. A multisystemic inflammatory disease has been described in neonates and named MIS-N (multisystemic inflammatory syndrome in Neonates). We report three cases of Mexican newborns with MIS-N presenting with multiorgan compromise and a positive anti-SARS-CoV-2 IgG who developed Kawasaki disease (KD)-like cardiac features and discuss the current dilemma regarding diagnosis and treatment in these patients.

Efficacy of Gamma Globulins in Children with Kawasaki Disease and Factors Influencing Children’s Short-Term Prognosis

Purpose

To explore and analyze the therapeutic effect of gamma globulins (GG) on Kawasaki disease (KD) in children and the influencing factors of short-term prognosis.

Methods

First, 90 pediatric KD patients admitted between January 2019 and January 2021 were selected and divided into a control group (n = 40) and a research group (n = 50) according to the difference in treatment. In addition to routine treatment and nursing given to both groups, control group was given aspirin (ASA), based on which research group was supplemented with GG therapy. The treatment outcome and adverse events (AEs) of the two cohorts of patients were analyzed and compared, and the influencing factors of children's short-term prognosis were analyzed by logistics multivariate analysis.

Results

Research group had a statistical higher overall response rate than control group, with significantly fewer cases suffering from AEs such as nausea and vomiting, diarrhea, rash, dizziness and headache, and coronary artery injury. On the other hand, logistics multivariate analysis identified that gender, body mass index (BMI), onset time, platelet (PLT), and treatment mode all independently influence the short-term prognosis of children with KD.

Conclusions

GG therapy is effective in treating pediatric KD patients and can effectively prevent AEs. In addition, gender, BMI, onset-to-treatment time, PLT, C-reactive protein (CRP), and treatment methods are independent risk factors for short-term prognosis of children with KD.