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Background
It is unclear whether postoperative pulmonary complications (PPC) can be early predicted by lung ultrasound (LUS) score in older adults undergoing thoracoscopic lobectomy. This study aimed to evaluate the validity of lung ultrasound application.
Methods
Two physicians performed lung ultrasonography on patients preoperatively, 30 min postoperatively and 72 h postoperatively to obtain LUS score. Pulmonary complications occurred within 10 days postoperatively were recorded. The correlation between lung ultrasound results and PPC was analyzed using logistic regression model. ROC curve were applied to assess the prediction accuracy.
Results
PPC occurred in 115 of 292 patients (39.38%) in this study. Independent risk factors for PPC included higher age (OR 1.16, 95% CI 1.04–1.29, p = 0.007), COPD comorbidity (OR 5.03, 95% CI 1.29–19.59, p = 0.020), lower preoperative hemoglobin level (OR 0.96, 95% CI 0.93–1.00, p = 0.043), and higher postoperative 30 min LUS score (OR 1.32, 95% CI 1.22–1.43, p < 0.001). Postoperative 30 min lung ultrasound score (AUC: 0.811, cut-off: 14) shown in the ROC curve analysis was effective in predicting postoperative outcomes.
Conclusions
Postoperative 30 min lung ultrasound score is a risk factor for PPC in older adults undergoing thoracoscopic lobectomy in this study. The value of lung ultrasound as a predictive tool for PPC is warranted.
Trial Registry: This study was registered in China Clinical Trial Registry (ChiCTR2100053449).
Highlights
Older adults undergoing thoracoscopic lobectomy showed a high rate of PPC (39.38%).
Postoperative 30 min lung ultrasound score was a significant risk factor for PPC. (OR 1.32 95% CI 1.22–1.43 p < 0.001).
A highly predictive indicator of PPC was the postoperative 30 min lung ultrasound score (AUC 0.811).
Details
1 The First Affiliated Hospital of Bengbu Medical University, Department of Anesthesiology, Bengbu, China (GRID:grid.412596.d) (ISNI:0000 0004 1797 9737)
2 The First Affiliated Hospital of Bengbu Medical University, Department of Nursing, Bengbu, China (GRID:grid.412596.d) (ISNI:0000 0004 1797 9737)
3 Fudan University, Department of Anesthesiology, Minhang Hospital, Shanghai, China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443)