Application of lung injury early prediction scale in patients after lung cancer surgery_Chinese Journal of Respiratory and Critical Care Medicine

Authors：

LIU Chunyan ^1,2 ,  XU Renhua ¹

1. School of Nursing, Binzhou Medical University, Yantai, Shandong 264003, P. R. China;
2. Departent of Thoracic Surgery, Weihai Municipal Hospital, Weihai, Shandong 264200, P. R. China;

Corresponding?author：

XU Renhua, Email: xrhazz@163.com

Keywords：

Lung injury prediction score; Acute lung injury; Lung cancer; Postoperative

DOI：

10.7507/1671-6205.201709002

Video：

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ObjectiveTo explore the clinical value of three early predictive scale of lung injury (ALI) in patients with high risk of acute lung injury (ALI) after lung cancer surgery.MethodsA convenient sampling method was used in this study. A retrospective analysis was performed on patients with lung cancer underwent lung surgery. The patients were divided into an ALI group and a non-ALI group according to ALI diagnostic criteria. Three kinds of lung injury predictive scoring methods were used, including lung injury prediction score (LIPS), surgical lung injury prediction (SLIP) and SLIP-2. The differences in the scores of the two groups were compared. The correlation between the three scoring methods was also analyzed. The diagnostic value was analyzed by drawing receiver operating characteristic (ROC) curves.ResultsA total of 400 patients underwent lung cancer surgery, and 38 patients (9.5%) developed ALI after operation. Among them, 2 cases progressed to acute respiratory distress syndrome and were treated in intensive care unit. There were no deaths. The predictive scores of the patients in the ALI group were higher than those in the non-ALI group, and the difference was statistically significant (all P<0.001). There was a good correlation between the three scoring methods (allP<0.001). The three scoring methods had better diagnostic value for early prediction of high risk ALI patients after lung cancer surgery and their area under ROC curve (AUC) were larger than 0.8. LIPS score performed better than others, with an AUC of 0.833, 95%CI (0.79, 0.87).ConclusionThree predictive scoring methods may be applied to early prediction of high risk ALI patients after lung cancer surgery, in which LIPS performs better than others.

Citation： LIU Chunyan, XU Renhua. Application of lung injury early prediction scale in patients after lung cancer surgery. Chinese Journal of Respiratory and Critical Care Medicine, 2018, 17(2): 161-164. doi: 10.7507/1671-6205.201709002 Copy

1.	Nwogu CE, D'Cunha J, Pang H, et al. VATS lobectomy has better perioperative outcomes than open lobectomy: CALGB 31001, an ancillary analysis of CALGB 140202 (Alliance). Ann Thorac Surg, 2015, 99(2): 399-405.
2.	Cardinale L, Priola AM, Priola SM, et al. Radiological contribution to the diagnosis of early postoperative complications after lung resection for primary tumor: a revisional study. J Thorac Dis, 2016, 8(8): E643-E652.
3.	Licker M, de Perrot M, Spiliopoulos A, et al. Risk factors for acute lung injury after thoracic surgery for lung cancer. Anesth Analg, 2003, 97(6): 1558-1565.
4.	de Prost N, Pham T, Carteaux G, et al. Etiologies, diagnostic work-up and outcomes of acute respiratory distress syndrome with no common risk factor: a prospective multicenter study. Ann Intensive Care, 2017, 7(1): 69.
5.	Russ M, Kronfeldt S, Boemke W, et al. Lavage-induced surfactant depletion in pigs as a model of the acute respiratory distress syndrome (ARDS) . J Vis Exp, 2016, (115). doi: 10.3791/53610.
6.	Gajic O, Dabbagh O, Park P K, et al. Early identification of patients at risk of acute lung injury: evaluation of lung injury prediction score in a multi center cohort study. Am J Respir Crit Care Med, 2011, 183(4): 462-470.
7.	喬良, 劉志. 按柏林新標準分析急診膿毒癥患者發生急性呼吸窘迫綜合征的危險因素. 中華危重病急救醫學, 2015, 27(7): 558-562.
8.	Kor DJ, Warner DO, Alsara A, et al. Derivation and diagnostic accuracy of the surgical lung injury prediction model. Anesthesiology, 2011, 115(1): 117-128.
9.	奚高原, 王志濤, 董鐵立. 右美托咪定對大鼠單肺通氣后肺損傷中細胞凋亡及 CHOP 的影響. 臨床麻醉學雜志, 2015, 31(2): 184-188.
10.	Seethala RR, Hou PC, Aisiku IP, et al. Early risk factors and the role of fluid administration in developing acute respiratory distress syndrome in septic patients. Ann Intensive Care , 2017, 7(1): 11.
11.	蘇瑞雪, 李玉蘭, 潘道剛, 等.單肺通氣中肺損傷與肺復張策略.臨床肺科雜志, 2015, 20(10): 1876-1878.
12.	Kor DJ, Lingineni RK, Gajic O, et al. Predicting risk of postoperative lung injury in high-risk surgical patients: a multicenter cohort study. Anesthesiology, 2014, 120(5): 1168-1181.
13.	鐘寶琳, 黃桂明, 李以平, 等.術后急性肺損傷的危險因素分析. 臨床麻醉學雜志, 2015, 31(9): 888-889.
14.	夏炎火, 童秋玲, 林錫芳, 等. 肺損傷預測評分在 ALI/ARDS 早期診斷中的應用. 醫學研究雜志, 2013, 42(02): 120-123.
15.	Dada L, Gonzalez AR, Urich D, et al. Alcohol worsens acute lung injury by inhibiting alveolar sodium transport through the adenosine A1 receptor. PLoS One, 2012, 7(1): e30448.
16.	Fini MA, Gaydos J, McNally A, et al. Alcohol Abuse is Associated with Enhanced Pulmonary and Systemic Xanthine Oxidoreductase Activity. Am J Physiol Lung Cell Mol Physiol, 2017, 313(6): L1047-L1057.
17.	Trillo-Alvarez C, Cartin-Ceba R, Kor DJ, et al. Acute lung injury prediction score: derivation and validation in a population-based sample. Eur Respir J , 2011, 37(3): 604-609.

1. Nwogu CE, D'Cunha J, Pang H, et al. VATS lobectomy has better perioperative outcomes than open lobectomy: CALGB 31001, an ancillary analysis of CALGB 140202 (Alliance). Ann Thorac Surg, 2015, 99(2): 399-405.
2. Cardinale L, Priola AM, Priola SM, et al. Radiological contribution to the diagnosis of early postoperative complications after lung resection for primary tumor: a revisional study. J Thorac Dis, 2016, 8(8): E643-E652.
3. Licker M, de Perrot M, Spiliopoulos A, et al. Risk factors for acute lung injury after thoracic surgery for lung cancer. Anesth Analg, 2003, 97(6): 1558-1565.
4. de Prost N, Pham T, Carteaux G, et al. Etiologies, diagnostic work-up and outcomes of acute respiratory distress syndrome with no common risk factor: a prospective multicenter study. Ann Intensive Care, 2017, 7(1): 69.
5. Russ M, Kronfeldt S, Boemke W, et al. Lavage-induced surfactant depletion in pigs as a model of the acute respiratory distress syndrome (ARDS) . J Vis Exp, 2016, (115). doi: 10.3791/53610.
6. Gajic O, Dabbagh O, Park P K, et al. Early identification of patients at risk of acute lung injury: evaluation of lung injury prediction score in a multi center cohort study. Am J Respir Crit Care Med, 2011, 183(4): 462-470.
7. 喬良, 劉志. 按柏林新標準分析急診膿毒癥患者發生急性呼吸窘迫綜合征的危險因素. 中華危重病急救醫學, 2015, 27(7): 558-562.
8. Kor DJ, Warner DO, Alsara A, et al. Derivation and diagnostic accuracy of the surgical lung injury prediction model. Anesthesiology, 2011, 115(1): 117-128.
9. 奚高原, 王志濤, 董鐵立. 右美托咪定對大鼠單肺通氣后肺損傷中細胞凋亡及 CHOP 的影響. 臨床麻醉學雜志, 2015, 31(2): 184-188.
10. Seethala RR, Hou PC, Aisiku IP, et al. Early risk factors and the role of fluid administration in developing acute respiratory distress syndrome in septic patients. Ann Intensive Care , 2017, 7(1): 11.
11. 蘇瑞雪, 李玉蘭, 潘道剛, 等.單肺通氣中肺損傷與肺復張策略.臨床肺科雜志, 2015, 20(10): 1876-1878.
12. Kor DJ, Lingineni RK, Gajic O, et al. Predicting risk of postoperative lung injury in high-risk surgical patients: a multicenter cohort study. Anesthesiology, 2014, 120(5): 1168-1181.
13. 鐘寶琳, 黃桂明, 李以平, 等.術后急性肺損傷的危險因素分析. 臨床麻醉學雜志, 2015, 31(9): 888-889.
14. 夏炎火, 童秋玲, 林錫芳, 等. 肺損傷預測評分在 ALI/ARDS 早期診斷中的應用. 醫學研究雜志, 2013, 42(02): 120-123.
15. Dada L, Gonzalez AR, Urich D, et al. Alcohol worsens acute lung injury by inhibiting alveolar sodium transport through the adenosine A1 receptor. PLoS One, 2012, 7(1): e30448.
16. Fini MA, Gaydos J, McNally A, et al. Alcohol Abuse is Associated with Enhanced Pulmonary and Systemic Xanthine Oxidoreductase Activity. Am J Physiol Lung Cell Mol Physiol, 2017, 313(6): L1047-L1057.
17. Trillo-Alvarez C, Cartin-Ceba R, Kor DJ, et al. Acute lung injury prediction score: derivation and validation in a population-based sample. Eur Respir J , 2011, 37(3): 604-609.

Chinese Journal of Respiratory and Critical Care Medicine

Application of lung injury early prediction scale in patients after lung cancer surgery

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