Nomogram prediction model for length of hospital stay following laparoscopic appendectomy in pediatric patients: a retrospective study
2024

Predicting Hospital Stay Length After Appendectomy in Kids

Sample size: 415 publication 10 minutes Evidence: high

Author Information

Author(s): Liu Ming, Yang Ping, Gou Yunpeng, Chen Qiang, Xu Dong

Primary Institution: Department of Pediatric Surgery, Suining Central Hospital, Suining, Sichuan Province, China

Hypothesis

The study aims to develop a nomogram to predict the length of hospital stay following laparoscopic appendectomy in pediatric patients with appendicitis.

Conclusion

The nomogram developed in this study effectively predicts the duration of hospitalization for pediatric patients undergoing laparoscopic appendectomy for appendicitis.

Supporting Evidence

  • The nomogram included predictors such as age, neutrophil-to-lymphocyte ratio, and C-reactive protein level.
  • The C-index of the nomogram was 0.873, indicating good predictive performance.
  • Calibration curves showed strong agreement between predicted and observed outcomes.
  • Decision curve analysis indicated a net benefit for the nomogram at threshold probabilities exceeding 2%.
  • Patients with prolonged hospital stays had significantly higher medical costs.

Takeaway

Doctors created a tool to help predict how long kids will stay in the hospital after having their appendix removed, which can help them plan better.

Methodology

The study used a retrospective analysis of hospitalization data from 415 pediatric patients and developed a nomogram based on various predictors.

Potential Biases

Potential biases include selection bias and information bias due to the retrospective nature of the study.

Limitations

The study's findings may not be generalizable due to the exclusion of certain cases and the retrospective design.

Participant Demographics

The cohort included 415 pediatric patients, with 122 females (29.40%) and 293 males (70.60%).

Statistical Information

P-Value

p<0.05

Confidence Interval

95% CI: 0.838–0.908

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3389/fped.2024.1441263

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