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. 2024 Jun 11;24(1):277.
doi: 10.1186/s12890-024-03086-7.

Predictive significance of systemic immune-inflammation index combined with prealbumin for postoperative pneumonia following lung resection surgery

Affiliations

Predictive significance of systemic immune-inflammation index combined with prealbumin for postoperative pneumonia following lung resection surgery

Haihang Miao et al. BMC Pulm Med. .

Abstract

Background: We aimed to determine whether systemic immune-inflammation index (SII) combined with prealbumin can provide better predictive power for postoperative pneumonia in patients undergoing lung resection surgery.

Methods: We identified eligible patients undergoing lung resection surgery at the Affiliated Hospital of Nantong University from March 2021 to March 2022. Demographic characteristics, clinical data, and laboratory information were collected and reviewed from the electronic medical records of the patients. To test the effect of the combined detection of SII and prealbumin, we made an equation using logistic regression analysis. The receiver operating characteristic curve (ROC) was plotted to evaluate the predictive powers, sensitivity, and specificity of prealbumin, SII, and SII combined with prealbumin. Decision curve analysis (DCA) was used to determine the clinical validity and net benefit of different methods of detection.

Results: Totally 386 eligible patients were included with a median age of 62.0 years (IQR: 55.0, 68.0), and 57 (14.8%) patients presented with postoperative pneumonia within 7 days after surgery. The multivariate regression analysis showed that preoperative SII as continuous variable was associated with an increased risk of postoperative pneumonia (OR: 1.38, 95% CI: 1.19-2.83, P = 0.011), whereas the prealbumin as continuous variable remained as an independent protective predictor of postoperative pneumonia in the adjusted analysis (OR: 0.80, 95% CI: 0.37-0.89, P = 0.023). Compared to SII or prealbumin, the combined detection of preoperative SII and prealbumin showed a higher predictive power with area under curve of 0.79 (95% CI: 0.71-0.86, P < 0.05 for all). Additionally, DCA indicated that the combined detection was superior over preoperative SII or prealbumin alone in clinical validity and net benefit.

Conclusion: Both preoperative SII and prealbumin are independent influencing factors for postoperative pneumonia after lung resection surgery. The combined detection of preoperative SII and prealbumin can significantly improve prediction capability to identify potential postoperative pneumonia-susceptible patients, facilitating early interventions to improve postoperative quality of life for surgical lung resection patients.

Keywords: Lung resection surgery; Postoperative pneumonia; Prealbumin; Systemic immune-inflammation index (SII).

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Conflict of interest statement

The authors have declared that no conflicts of interest exist.

Figures

Fig. 1
Fig. 1
Flow chart
Fig. 2
Fig. 2
Multivariate adjusted odds ratio for postoperative pneumonia is based on restricted cubic spline analysis with three knots at the 25th, 75th percentiles, and the reference point at the median of combined detection of SII and prealbumin. Solid lines indicate point estimates on the relationship between combined detection and postoperative pneumonia, and the dashed lines represent 95% CI estimation. OR, odds ratio; SII, systemic immune-inflammation index
Fig. 3
Fig. 3
ROC curve for postoperative pneumonia. ROC, receiver operating characteristic curve; SII, systemic immune-inflammation index
Fig. 4
Fig. 4
DCA for postoperative pneumonia. DCA, decision curve analysis; SII, systemic immune-inflammation index

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