scholarly journals Prognostic Value of Preoperative Peak Expiratory Flow to Predict Postoperative Pulmonary Complications in Surgical Lung Cancer Patients

2021 ◽  
Vol 11 ◽  
Author(s):  
Shuai Chang ◽  
Kun Zhou ◽  
Yan Wang ◽  
Yutian Lai ◽  
Guowei Che

ObjectivesCough impairment may lead to excessive accumulation of pulmonary secretions and increase the risk of postoperative pulmonary complications (PPCs). Peak expiratory flow (PEF) is a sensitive indicator of cough ability. We aimed to investigate the correlation between PEF and PPCs for lung cancer patients undergoing lobectomy or segmental resection for improved risk assessment.MethodsThis retrospective study assessed 560 patients with non-small cell lung cancer admitted for surgery between January 2014 to June 2016. The measurements of PEF were performed before surgery and the clinical outcomes were recorded, including PPCs, postoperative hospital stay, hospitalization costs, and other variables.ResultsPreoperative PEF was significantly lower in PPCs group compared to non-PPCs group (294.2 ± 95.7 vs. 363.0 ± 105.6 L/min, P < 0.001). Multivariable regression analysis showed that high PEF (OR=0.991, 95%CI: 0.988-0.993, P < 0.001) was an independent protective factor for PPCs. According to the receiver operating characteristic (ROC) curve, a PEF value of 250 L/min was selected as the optimal cutoff value in female patients, and 320 L/min in male patients. Patients with PEF under cutoff value of either sex had higher PPCs rate and unfavorable clinical outcomes.ConclusionsPreoperative PEF was found to be a significant predictor of PPCs for surgical lung cancer patients. It may be beneficial to consider the cutoff value of PEF in perioperative risk assessment.

2022 ◽  
Author(s):  
Mao Xiaowei ◽  
Zhang Wei ◽  
Hu Fang ◽  
Niu Yanjie ◽  
Wang Qiang ◽  
...  

Abstract Background The relationship between immunonutritional status (eg. Prognostic nutritional index [PNI] and Controlling Nutritional Status [COUNT] score) and risk of postoperative pulmonary complications (PPCs) after surgical resection of lung cancer had reported before. However, another immunonutritional parameter- Geriatric Nutritional Risk Index (GNRI)-had never explored. Method To address this issue, in this study we retrospectively analyzed patients’ characteristics and PPCs in a cohort of lung cancer patients who were treated by surgical resection at our center. The clinical utility of patients’ characteristics for predicting PPCs was evaluated by receiver operating characteristic curve analysis and the Youden index. Univariate and multivariate analysis were applied to find the most important factors. Result A total of 128 patients met the inclusion criteria for this study. Significant differences in sex, GNRI, FEV1%, LY% were found between the PPC and non-PPC groups (all P<0.05). The difference in pathology between the 2 groups showed borderline statistical significance (P=0.052). We determined the best cutoff value of each parameter and calculated the corresponding sensitivity and specificity, and found that GNRI, FEV1% and LY% had similar diagnostic value. Multivariate analysis reveled GNRI, sex, LY% and FEV1% were filtered to be correlated to PPCs of elderly lung cancer patients received surgery therapy. Conclusion These results indicate that preoperative immunonutritional parameters of GNRI can be used to identify elderly lung cancer patients at risk of PPCs.


2021 ◽  
Author(s):  
Mao Xiaowei ◽  
Zhang Wei ◽  
Hu Fang ◽  
Niu Yanjie ◽  
Wang Qiang ◽  
...  

Abstract Background: The relationship between immunonutritional status (eg. Prognostic nutritional index [PNI] and Controlling Nutritional Status [COUNT] score) and risk of postoperative pulmonary complications (PPCs) after surgical resection of lung cancer had reported before. However, another immunonutritional parameter- Geriatric Nutritional Risk Index (GNRI)-had never explored.Method: To address this issue, in this study we retrospectively analyzed patients’ characteristics and PPCs in a cohort of lung cancer patients who were treated by surgical resection at our center. The clinical utility of patients’ characteristics for predicting PPCs was evaluated by receiver operating characteristic curve analysis and the Youden index. Univariate and multivariate analysis were applied to find the most important factors.Result: A total of 128 patients met the inclusion criteria for this study. Significant differences in sex, GNRI, FEV1%, LY% were found between the PPC and non-PPC groups (all P<0.05). The difference in pathology between the 2 groups showed borderline statistical significance (P=0.052). We determined the best cutoff value of each parameter and calculated the corresponding sensitivity and specificity, and found that GNRI, FEV1% and LY% had similar diagnostic value. Multivariate analysis reveled GNRI, sex, LY% and FEV1% were filtered to be correlated to PPCs of elderly lung cancer patients received surgery therapy.Conclusion: These results indicate that preoperative immunonutritional parameters of GNRI can be used to identify elderly lung cancer patients at risk of PPCs.


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