Applying the Pediatric Appendicitis Score to predict complicated appendicitis in children

Establishment and validation of a nomogram for predicting postoperative intestinal adhesion in children with acute appendicitis

PURPOSE

This study aims to explore the value of multiple indicators in the evaluation of risk factors for intestinal adhesion (IA) after appendectomy in children with acute appendicitis (AA).

METHODS

A retrospective study was conducted on 608 patients who underwent appendectomy in the Department of Pediatric Surgery, Children's Medical Center of Jilin Province from January 2017 to April 2023, with a one-year follow-up period to record the occurrence of IA after appendectomy. Univariate and multivariate analysis were used to screen the risk factors of postoperative IA, and a prediction model was established to predict postoperative IA.

RESULTS

There were 527 patients in the non-IA group and 81 patients in the IA group. Binary Logistic regression was used to determine the strength of correlation with postoperative intestinal adhesion. The risk factors identified were as follows: DS ≥ 43 h (OR = 3.903, 5points), CRP ≥ 65 mg/L (OR = 3.424, 4.5points), PCT ≥ 0.9 µg/L (OR = 8.683, 8points), Surgical duration ≥ 100 min (OR = 6.457, 7points), Appendiceal perforation (OR = 6.073, 6.5points), Postoperative exhaust time ≥ 55 h (OR = 14.483, 10points). After test, the nomogram drawn based on binary logistic regression can obtain good prediction efficiency. In the training set, the area under the curve was 0.960, the sensitivity was 0.898, and the specificity was 0.905. In the test set, the area under the curve was 0.957, the sensitivity was 0.864, and the specificity was 0.906.

CONCLUSION

Postoperative exhaust time ≥ 55 h has a high risk of IA after appendicitis surgery in children. Early recovery of intestinal peristalsis function is essential. This scoring model is a novel and promising method for predicting postoperative IA.

Current use of artificial intelligence in the diagnosis and management of acute appendicitis

INTRODUCTION

Acute appendicitis is a common and time-sensitive surgical emergency, requiring rapid and accurate diagnosis and management to prevent complications. Artificial intelligence (AI) has emerged as a transformative tool in healthcare, offering significant potential to improve the diagnosis and management of acute appendicitis. This review provides an overview of the evolving role of AI in the diagnosis and management of acute appendicitis, highlighting its benefits, challenges, and future perspectives.

EVIDENCE ACQUISITION

We performed a literature search on articles published from 2018 to September 2023. We included only original articles.

EVIDENCE SYNTHESIS

Overall, 121 studies were examined. We included 32 studies: 23 studies addressed the diagnosis, five the differentiation between complicated and uncomplicated appendicitis, and 4 studies the management of acute appendicitis.

CONCLUSIONS

AI is poised to revolutionize the diagnosis and management of acute appendicitis by improving accuracy, speed and consistency. It could potentially reduce healthcare costs. As AI technologies continue to evolve, further research and collaboration are needed to fully realize their potential in the diagnosis and management of acute appendicitis.

The Association Between C-Reactive Protein Levels and Pediatric Appendicitis Score and the Severity of Appendicitis in Children

BACKGROUND

Acute appendicitis is a common cause of abdominal pain leading to emergent abdominal surgery in children. C-reactive protein (CRP), an inflammatory marker typically elevated in acute appendicitis, and Pediatric Appendicitis Score (PAS), a clinical scoring system used for the diagnosis of appendicitis, have the potential to predict the severity of inflammation of the appendix. This may be useful in helping the physician make a treatment plan prior to surgery.

OBJECTIVE

The purpose of this study was to assess whether CRP value and PAS differ with the extent of inflammation of the appendix seen on histologic examination.

METHODS

This was a prospective observational study of patients diagnosed with acute appendicitis via computed tomography or ultrasound. Enrolled patients had CRP levels drawn, PAS calculated, and appendix pathology reviewed. Appendix pathology was categorized by the pathologist on the basis of the level of inflammation: simple, suppurative, gangrenous, and perforated.

RESULTS

One hundred sixty-three patients were enrolled. CRP levels and PAS were statistically different (p < 0.002) among the four pathology classifications. Patients with simple appendicitis (n = 3) had a mean CRP of 2.95 mg/L and PAS of 3.9, patients with suppurative appendicitis (n = 99) had a mean CRP of 26.89 mg/L and PAS of 6.5, patients with gangrenous appendicitis (n = 56) had a mean CRP of 91.11 mg/L and PAS of 7.5, and patients with perforated appendicitis (n = 6) had a mean CRP of 154.17 mg/L and PAS of 7. The results remained statistically significant (p < 0.002) after adjusting for age, race, and sex. When combined-PAS ≥ 8 and CRP level > 40 mg/L-the specificity of complicated appendicitis was 91.2% and positive predictive value was 72.7%.

CONCLUSIONS

Higher CRP levels and PAS were associated with increased histologic inflammation of the appendix. This study provides preliminary evidence that CRP and PAS could potentially assist in treatment decisions for appendicitis.

Diagnostic performance of serum pentraxin-3 in pediatric acute appendicitis: a prospective diagnostic validation study

INTRODUCTION

Pediatric acute appendicitis (PAA) is a pathology with a high rate of diagnostic error. The search for new diagnostic tools is justified by the high morbidity and healthcare costs associated with diagnostic error.

METHODS

We designed a prospective study to validate serum pentraxin-3 (PTX3) as a diagnostic tool in PAA. Participants were divided into three groups: (1) patients with no underlying pathology (2) patients with non-surgical abdominal pain and (3) patients with a confirmed diagnosis of PAA. For further analyses, patients in group 3 were divided into complicated or uncomplicated PAA. Quantitative variables were expressed as medians and interquartile ranges and categorical variables as percentages. Quantitative variables were compared using the Kruskal-Wallis test and the Mann-Whitney U test. Diagnostic performance was evaluated with ROC curves.

RESULTS

This study included 215 patients divided into group 1 (n = 63), group 2 (n = 53) and group 3 (n = 99). Median serum PTX3 values were 2.54 (1.70-2.95) ng/mL, 3.29 (2.19-7.64) ng/mL and 8.94 (6.16-14.05) in groups 1, 2 and 3, respectively (p = 0.001). Patients with complicated PAA showed significantly higher values than patients with uncomplicated PAA (p = 0.04). The AUC (group 2 vs. 3) was 0.77 (95% CI 0.69-0.85) and the best cut-off point was at 7.28 ng/mL, with a sensitivity of 61.3% and a specificity of 73.1%. The AUC (complicated vs. uncomplicated PAA) was 0.65 (95% CI 0.54-0.77) and the best cut-off point was 12.33 ng/mL, with a sensitivity of 51.72% and a specificity of 72.73%.

CONCLUSIONS

The diagnostic ability of serum PTX3 in PAA is only moderate and therefore it cannot be considered a definitive diagnostic test. The discriminatory ability of PTX3 between complicated and uncomplicated PAA is poor. These findings, which contrast with those reported to date, should be validated with future properly designed prospective studies.