Tasuku Oyama1, Hirotaka Kinoshita1, Daiki Takekawa2, Junichi Saito1, Tetsuya Kushikata1, Kazuyoshi Hirota1. 1. Department of Anesthesiology, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki, 036-8562, Japan. 2. Department of Anesthesiology, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki, 036-8562, Japan. takekawa@hirosaki-u.ac.jp.
Abstract
PURPOSE: We investigated whether preoperative inflammatory markers, i.e., the neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), mean platelet volume (MPV), and platelet distribution width (PDW) can predict the development of postoperative delirium (POD) after esophagectomy. PATIENTS AND METHODS: This single-center, retrospective, observational study included 110 patients who underwent an esophagectomy. We assigned the patients with the Intensive Care Delirium Screening Checklist score ≥ 4 to the POD group. We performed multivariable logistic regression analyses to determine whether the NLR, PLR, MPV, and PDW can be used to predict the development of POD. RESULTS: The POD group had 20 patients; the non-POD group included the other 90 patients. Although only the preoperative NLR in the POD group was significantly higher than in the non-POD group (3.20 [2.52-4.30] vs. 2.05 [1.45-3.02], p = 0.001), multivariable logistic regression analyses showed that the following three parameters were independent predictors of POD: preoperative NLR ≥ 2.45 (adjusted odds ratio [aOR]: 8.68, 95%CI 2.33-32.4, p = 0.001), MPV ≥ 10.4 (aOR: 3.93, 95%CI: 1.37-11.2, p = 0.011), and PDW ≥ 11.8 (aOR: 3.58, 95%CI: 1.22-10.5, p = 0.020). CONCLUSION: Our analysis results demonstrated that preoperative NLR ≥ 2.45, MPV ≥ 10.4, and PDW ≥ 11.8 were significantly associated with a higher risk of POD after adjustment for possible confounding factors. However, as the AUCs of the preoperative MPV and PDW for the prediction of the development of POD in univariable ROC analyses were low, large prospective studies are needed to confirm this result.
PURPOSE: We investigated whether preoperative inflammatory markers, i.e., the neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), mean platelet volume (MPV), and platelet distribution width (PDW) can predict the development of postoperative delirium (POD) after esophagectomy. PATIENTS AND METHODS: This single-center, retrospective, observational study included 110 patients who underwent an esophagectomy. We assigned the patients with the Intensive Care Delirium Screening Checklist score ≥ 4 to the POD group. We performed multivariable logistic regression analyses to determine whether the NLR, PLR, MPV, and PDW can be used to predict the development of POD. RESULTS: The POD group had 20 patients; the non-POD group included the other 90 patients. Although only the preoperative NLR in the POD group was significantly higher than in the non-POD group (3.20 [2.52-4.30] vs. 2.05 [1.45-3.02], p = 0.001), multivariable logistic regression analyses showed that the following three parameters were independent predictors of POD: preoperative NLR ≥ 2.45 (adjusted odds ratio [aOR]: 8.68, 95%CI 2.33-32.4, p = 0.001), MPV ≥ 10.4 (aOR: 3.93, 95%CI: 1.37-11.2, p = 0.011), and PDW ≥ 11.8 (aOR: 3.58, 95%CI: 1.22-10.5, p = 0.020). CONCLUSION: Our analysis results demonstrated that preoperative NLR ≥ 2.45, MPV ≥ 10.4, and PDW ≥ 11.8 were significantly associated with a higher risk of POD after adjustment for possible confounding factors. However, as the AUCs of the preoperative MPV and PDW for the prediction of the development of POD in univariable ROC analyses were low, large prospective studies are needed to confirm this result.
Authors: Serdar Soydinc; Ibrahim Halil Turkbeyler; Yavuz Pehlivan; Gulcimen Soylu; Mehmet Fatih Goktepe; Muhammed Bilici; Orhan Zengin; Bunyamin Kisacik; Ahmet Mesut Onat Journal: Inflammation Date: 2014-02 Impact factor: 4.092
Authors: Philip A Linden; Christopher W Towe; Thomas J Watson; Donald E Low; Stephen D Cassivi; Maria Grau-Sepulveda; Stephanie G Worrell; Yaron Perry Journal: J Gastrointest Surg Date: 2019-08-13 Impact factor: 3.452