Related Experiment Video
Updated: Jan 16, 2026
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
A Mortality Prediction Nomogram for Stenotrophomonas maltophilia Bloodstream Infection
Siting Yi1, Mengmin Ye1, Pingjuan Liu1
1Department of Laboratory Medicine, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, 510080, People's Republic of China.
Background:
The World Health Organization classifies Stenotrophomonas maltophilia (S. maltophilia) as one of the most overlooked and difficult-to-treat multidrug-resistant pathogens. It mainly causes pneumonia and bloodstream infections (BSIs). Therefore, the aim of this study was to investigate the risk factors for mortality in patients with S. maltophilia BSIs and to construct a predictive nomogram model.
Methods:
Clinical data were collected from patients with S. maltophilia BSIs who were admitted to the First Affiliated Hospital of Sun Yat-sen University from January 2013 to December 2023. Prognostic risk factors were identified using Cox regression and LASSO analysis. A nomogram was developed based on a multivariate analysis and validated using bootstrap resampling, receiver operating characteristic curve analysis, and calibration plots.
Results:
The mortality rate was 20.0% among 85 patients with S. maltophilia BSIs. Multivariable analysis identified septic shock (hazard ratio [HR] = 7.859, 95% confidence interval (CI): 1.569-79.607; P = 0.009) and respiratory diseases (HR = 7.602, 95% CI: 2.269-39.202; P < 0.001) as independent risk factors for mortality. A predictive nomogram model incorporating these factors demonstrated excellent discrimination, with a C-index of 0.872 and high area under the curve values for 14-day (0.922) and 28-day (0.882) mortality. Calibration analysis showed precise agreement between predicted and observed outcomes.
Conclusion:
Septic shock and respiratory diseases were independent risk factors for mortality in patients with S. maltophilia BSIs. The nomogram model developed in this study showed good predictive value for the survival rates of patients with S. maltophilia BSIs, thus facilitating clinical prevention and treatment.
Insights
Stenotrophomonas maltophilia bloodstream infections (BSIs) have a 20% mortality rate. Septic shock and respiratory diseases are key risk factors, enabling a new predictive model for better patient outcomes.
Area of Science:
- Infectious Diseases
- Clinical Microbiology
- Public Health
Background:
- Stenotrophomonas maltophilia (S. maltophilia) is a multidrug-resistant pathogen causing pneumonia and bloodstream infections (BSIs).
- It is considered difficult to treat and often overlooked in clinical settings.
- Understanding mortality risk factors is crucial for effective management.
Purpose of the Study:
- To identify risk factors associated with mortality in patients with S. maltophilia BSIs.
- To develop and validate a predictive nomogram model for patient survival.
Main Methods:
- Retrospective analysis of clinical data from 85 patients with S. maltophilia BSIs (2013-2023).
- Cox regression and LASSO analysis to identify prognostic risk factors.
- Development and validation of a nomogram using bootstrap resampling and ROC analysis.
Main Results:
- The overall mortality rate was 20.0%.
- Independent risk factors for mortality included septic shock (HR=7.859) and respiratory diseases (HR=7.602).
- The predictive nomogram showed excellent discrimination (C-index=0.872) and calibration for 14-day and 28-day mortality.
Conclusions:
- Septic shock and respiratory diseases are significant independent risk factors for mortality in S. maltophilia BSIs.
- The developed nomogram model demonstrates strong predictive value for patient survival.
- This tool can aid in clinical prevention and treatment strategies for S. maltophilia BSIs.
