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


Journal

BMC pulmonary medicine
ISSN: 1471-2466
Titre abrégé: BMC Pulm Med
Pays: England
ID NLM: 100968563

Informations de publication

Date de publication:
11 Jun 2024
Historique:
received: 22 03 2024
accepted: 03 06 2024
medline: 12 6 2024
pubmed: 12 6 2024
entrez: 11 6 2024
Statut: epublish

Résumé

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. 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. 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. 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.

Sections du résumé

BACKGROUND 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 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 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 CONCLUSIONS
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.

Identifiants

pubmed: 38862955
doi: 10.1186/s12890-024-03086-7
pii: 10.1186/s12890-024-03086-7
doi:

Substances chimiques

Prealbumin 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

277

Subventions

Organisme : Nantong Science and Technology Plan Project
ID : MSZ2023023
Organisme : Jiangsu Province Research Hospital Funding Fund
ID : YJXYY202204
Organisme : NSFC Cultivation Project of Shanghai Pulmonary Hospital
ID : fkzr2426

Informations de copyright

© 2024. The Author(s).

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Auteurs

Haihang Miao (H)

Department of Anesthesiology, Affiliated Hospital of Nantong University, Nantong, China.

Dingying Ge (D)

Department of Anesthesiology, Affiliated Hospital of Nantong University, Nantong, China.

Qianwen Wang (Q)

Department of Anesthesiology, Affiliated Hospital of Nantong University, Nantong, China.

Lulu Zhou (L)

Department of Oncology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning Province, China.

Hongsheng Chen (H)

Department of Anesthesiology, Affiliated Hospital of Nantong University, Nantong, China. chenhongsheng8@163.com.

Yibin Qin (Y)

Department of Anesthesiology, Affiliated Hospital of Nantong University, Nantong, China. 572537172@qq.com.

Faqiang Zhang (F)

Department of Anesthesiology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China. qfzhangxzmc@126.com.

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