Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Jan 8;15(1):1366.
doi: 10.1038/s41598-025-85791-9.

Diagnostic value of the MZXBTCH scoring system for acute complex appendicitis

Affiliations

Diagnostic value of the MZXBTCH scoring system for acute complex appendicitis

Tianyi Ma et al. Sci Rep. .

Abstract

The objective of this study was to develop a novel scoring model, assess its diagnostic value for complex appendicitis, and compare it with existing scoring systems. A total of 1,241 patients with acute appendicitis were included, comprising 868 patients in the modeling group (mean age, 35.6 ± 14.2 years; 52.4% men) and 373 patients in the validation group (mean age, 36.2 ± 13.8 years; 53.1% men). Among them, 28.4% (346/1,241) were diagnosed with complex appendicitis. The distribution of clinical features, laboratory results, and imaging findings was comparable between the two groups. The data from the modeling group were used to develop the MZXBTCH scoring system, which subsequently validated using the validation group data. Based on postoperative pathological diagnoses, the validation group (n = 373) was scored using the Alvarado, Raja Isteri Pengiran Anak Saleha (RIPASA), Appendicitis Inflammatory Response (AIR), and MZXBTCH scoring systems. Receiver operating characteristic (ROC) curves were plotted to compare the diagnostic efficacy of these scoring systems for complex appendicitis. Multivariate logistic regression analysis identified preoperative body temperature (odds ratio (OR) = 1.104; 95% confidence interval (CI) 1.067-1.143; P < 0.001), preoperative C-reactive protein (CRP) level (OR = 1.002; 95% CI 1.001-1.002; P < 0.001), lymphocyte percentage (OR = 0.994; 95% CI 0.990-0.996; P < 0.001), appendiceal fecal stones (OR = 1.127; 95% CI 1.068-1.190; P < 0.001), periappendiceal fat stranding (OR = 1.133; 95% CI 1.072-1.198; P < 0.001), and appendix diameter (OR = 1.013; 95% CI 1.004-1.022; P < 0.001) as independent risk factors for complex appendicitis. Using R programming, a nomogram based on these independent risk factors was constructed to derive MZXBTCH scores. ROC curve analysis of the MZXBTCH model indicated an area under the curve (AUC) of 0.773. ROC curve analysis revealed that the AUC values of the Alvarado, RIPASA, AIR, and MZXBTCH scoring systems were 0.66, 0.68, 0.76, and 0.82, respectively. Sensitivities were 64.29%, 66.33%, 68.37%, and 74.49%, and specificities were 55.64%, 60%, 75.64%, and 76.36%, respectively. Positive predictive values were 0.34, 0.37, 0.5, and 0.53, while negative predictive values were 0.81, 0.83, 0.87, and 0.89. Accuracy rates were 0.58, 0.62, 0.74, and 0.76, respectively. The MZXBTCH scoring system demonstrated higher sensitivity, specificity, and accuracy compared with the Alvarado, RIPASA, and AIR scoring systems in distinguishing complex appendicitis.

Keywords: Complex appendicitis; Diagnosis, nomogram; MZXBTCH scoring system.

PubMed Disclaimer

Conflict of interest statement

Declarations. Competing interests: The authors declare no competing interests. Ethics approval and consent to participate: This study was conducted in accordance with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards. Ethical approval was waived by the Ethics Committee of Tsinghua Changgung Hospital due to the retrospective nature of the study. Written informed consent was waived due to the retrospective nature of this study by the Ethics Committee of Tsinghua Changgung Hospital.

Figures

Fig. 1
Fig. 1
Nomogram of the MZXBTCH model.
Fig. 2
Fig. 2
ROC curve for the modeling group.
Fig. 3
Fig. 3
Calibration curve of the MZXBTCH model.
Fig. 4
Fig. 4
ROC curves for predicting complex appendicitis using scoring systems in each group.

Similar articles

References

    1. Wickramasinghe, D. P., Xavier, C. & Samarasekera, D. N. The Worldwide Epidemiology of Acute Appendicitis: an analysis of the Global Health Data Exchange Dataset. World J. Surg.45, 1999–2008 (2021). - PubMed
    1. Sajjad, M. N., Naumeri, F. & Hina, S. Non-operative treatment versus appendectomy for acute uncomplicated appendicitis: a randomized controlled trial. Pak J. Med. Sci.37, 1276–1281 (2021). - PMC - PubMed
    1. Falih Noori Alsubsiee, I. & Falih Noori Alsubsiee, A. Appendicectomy for Uncomplicated Simple Appendicitis: Is It Always Required? Surg. Res. Pract. 8848162 (2021). - PMC - PubMed
    1. Akbulut, S. et al. Prediction of Perforated and Nonperforated Acute Appendicitis using machine learning-based explainable Artificial Intelligence. Diagnostics (Basel)13 (2023). - PMC - PubMed
    1. Liang, D. et al. Development and validation of a deep learning and Radiomics Combined Model forDifferentiating complicated from uncomplicated Acute Appendicitis. Acad. Radiol. (2023). - PubMed