Objective: The objective of this study was to evaluate physical examinations, imaging, and laboratory analyses individually and combined using innovative statistical analysis methods for the accurate diagnosis of pediatric appendicitis.
Methods: Patients admitted to hospital with symptoms of abdominal pain whose pediatric appendicitis scores greater than 3 were included in the study. Clinical, radiologic, and laboratory findings and as a new biomarker calprotectin (CPT) concentrations were evaluated individually and combined using artificial neural networks (ANNs), which revealed latent relationships for a definitive diagnosis.
Results: Three hundred twenty patients were evaluated (190 appendicitis [43 perforated] vs 130 no appendicitis). The mean ± SD age was 11.3 ± 3.6 years and 63% were male. Pediatric appendicitis scores, white blood cell (WBC) count, absolute neutrophil count (ANC), C-reactive protein (CRP) level, procalcitonin (PCT) and CPT concentrations were higher in the appendicitis group; however, only WBC and ANC were higher in first 24 hours of pain. White blood cells and CRP were diagnostic markers in patients whose appendix could not be visualized using ultrasonography (US). On classic receiver operating characteristic (ROC) analysis, the areas under the curve (AUCs) were not strong enough for differential diagnosis (WBC, 0.73; ANC, 0.72; CRP, 0.65; PCT and CPT, 0.61). However, when the physical examination, US, and laboratory findings were analyzed in a multivariate model and the ROC analysis obtained from the variables with ANN, an ROC curve could be obtained with 0.91 AUC, 89.8% sensitivity, and 81.2% specificity. C-reactive protein and PCT were diagnostic for perforated appendicitis with 0.83 and 0.75 AUC on ROC.
Conclusions: Although none of the biomarkers were sufficient for an accurate diagnosis of appendicitis individually, a combination of physical examination and laboratory and US was a good diagnostic tool for pediatric appendicitis.
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http://dx.doi.org/10.1097/PEC.0000000000001904 | DOI Listing |
Acta Paediatr
January 2025
Department of Pathology, Sourasky Medical Center, Tel Aviv, Israel.
Aim: Diagnostic error can result in the appendectomy of a normal appendix, commonly known as negative appendectomy (NA). Missed appendicitis (MA) is related to a poor outcome. The aim of this study was to determine whether there are factors in presentation associated with NA or MA.
View Article and Find Full Text PDFJ Pediatr Surg
January 2025
Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU), Dubai, United Arab Emirates; Mediclinic Parkview Hospital, Dubai, United Arab Emirates.
Introduction: Up to one-third of pediatric patients with acute appendicitis present with radiological evidence of appendicoliths. However, whether appendicolith presence influences prognosis under conservative management compared to non-appendicolith appendicitis remains uncertain.
Methods: We systematically searched PubMed, Cochrane, Embase, and Web of Science databases for studies comparing pediatric appendicolith and non-appendicolith appendicitis managed conservatively with antibiotics, fluids, and percutaneous drainage.
J Pediatr Surg
January 2025
McGill University Faculty of Medicine and Health Sciences, Canada; Harvey E. Beardmore Division of Pediatric Surgery, The Montreal Children's Hospital, McGill University Health Centre, Montreal, Qc, Canada.
Purpose: This study evaluates the effectiveness of machine learning (ML) algorithms for improving the preoperative diagnosis of acute appendicitis in children, focusing on the accurate prediction of the severity of disease.
Methods: An anonymized clinical and operative dataset was retrieved from the medical records of children undergoing emergency appendectomy between 2014 and 2021. We developed an ML pipeline that pre-processed the dataset and developed algorithms to predict 5 appendicitis grades (1 - non-perforated, 2 - localized perforation, 3 - abscess, 4 - generalized peritonitis, and 5 - generalized peritonitis with abscess).
Rheumatol Adv Pract
January 2025
Department of Pediatrics, Dokkyo Medical University, Tochigi, Japan.
Graphical Abstract.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
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