525P - Development of diagnostic prediction score for malignant pleural effusion in lung cancer: MPE-Lung score

Background

To develop a predictive scoring system for the diagnosis of malignant pleural effusion in patients with lung cancer.

Methods

Retrospective analysis of pleural fluid cytology was conducted in lung cancer patients with malignant pleural effusion (MPE) between 2018 and 2020. Multivariable logistic regression was used to explore the potential predictors for MPE. The selected logistic coefficients were transformed into a diagnostic predictive scoring system. Internal validation was done using the bootstrapping procedure.

Results

The data of pleural fluid cytology from 99 lung cancer patients with MPE were analyzed. Sixty-four positive pleural cytology patients were found (64.65%). The predictive indicators included ratio of pleural fluid to serum LDH greater than 0.6, ratio of pleural fluid to serum protein greater than 0.5, pleural fluid LDH > 555 IU/L, and pleural fluid sugar > 60 mg/dL. and double tap for pleural cytology were used for the derivation of the diagnostic prediction model. The score-based model showed that the area under the receiver operating characteristic curve was 0.82 (95% CI 0.72-0.92). The developed MPE score ranged from zero to 17. The cut-off point was 11 with 91.67% of specificity, 59.09% of sensitivity, positive predictive value of 0.93, and negative predictive value of 0.55. The measurement of the calibration was illustrated using a calibration plot (p-value = 0.88 for the Hosmer-Lemeshow based goodness of fit). Internal validation with 1,000 bootstrap resampling showed a good discrimination. Table: 525P

Conclusions

The MPE-Lung score, as the diagnostic prediction model can be used in planning for more efficient diagnosis of MPE in lung cancer patients.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

All authors have declared no conflicts of interest.