The risk factors and prediction model for postoperative pneumonia after craniotomy
2024

Risk Factors and Prediction Model for Postoperative Pneumonia After Craniotomy

Sample size: 831 publication 10 minutes Evidence: high

Author Information

Author(s): Xiang Bingbing, Yi Mingliang, Li Chunyan, Yin Hong, Wang Shun, Liu Yiran

Primary Institution: Chengdu University of Traditional Chinese Medicine

Hypothesis

What are the risk factors associated with postoperative pneumonia after craniotomy and how can they be predicted?

Conclusion

The study found that postoperative pneumonia after craniotomy is linked to specific risk factors and can be effectively predicted using a developed nomogram model.

Supporting Evidence

  • The overall incidence rate of postoperative pneumonia was 12.39% among the studied patients.
  • Five independent risk factors for pneumonia were identified: smoking history, surgical duration, postoperative albumin, unplanned re-operation, and deep vein catheterization.
  • The nomogram model showed excellent predictive performance with a C-index of 0.898.
  • Gram-negative bacteria were the most common pathogens found in pneumonia cases.

Takeaway

After brain surgery, some patients get pneumonia, and we found out what makes it more likely and how to predict it.

Methodology

A matched 1:1 case-control study was conducted involving 831 adult patients undergoing craniotomy, comparing those who developed pneumonia to those who did not.

Potential Biases

Potential biases may arise from the retrospective nature of the study and the selection of control patients.

Limitations

The study was retrospective and conducted at a single institution, which may limit the generalizability of the findings.

Participant Demographics

The study included adult patients undergoing craniotomy, with a mean age of 52.22 years in the pneumonia group.

Statistical Information

P-Value

P<0.001 for several risk factors

Confidence Interval

95% CI, 0.853~0.941

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3389/fcimb.2024.1375298

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