Chi Young Kim1, Song Yee Kim2, Joo Han Song2, Young Sam Kim2, Su Jin Jeong3, Jin Gu Lee4, Hyo Chae Paik4, Moo Suk Park5. 1. Division of Pulmonary, Sleep and Critical Care Medicine, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea; Yonsei University College of Medicine, Seoul, Republic of Korea. 2. Division of Pulmonology, Department of Internal Medicine, Institute of Chest Diseases, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea. 3. Division of Infectious Disease, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea. 4. Department of Thoracic & Cardiovascular Surgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea. 5. Division of Pulmonology, Department of Internal Medicine, Institute of Chest Diseases, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea. Electronic address: pms70@yuhs.ac.
Abstract
BACKGROUND & AIMS: There is increasing evidence that preoperative nutritional status is a predictor of disease severity and mortality after lung transplantation (LTX). This study aimed to evaluate preoperative nutritional assessment as a predictor of LTX outcomes. METHODS: We included 132 patients who underwent single or double LTX at Severance Hospital, Yonsei University, between October 2010 and April 2016. The Prognostic Nutritional Index (PNI) scores were calculated as follows: 10 × serum albumin value (g/dL) + 0.005 × peripheral lymphocyte count (/mm3). The optimal cut-off PNI score for the prediction of postoperative overall survival was set at 41.15 using receiver operating characteristics analysis. The efficacies of PNI and other clinical factors in predicting LTX outcomes were determined using univariate and multivariate Cox proportional hazard analyses. RESULTS: Patients with PNI <41.15 (PNI-low group) were older, had higher preoperative C-reactive protein levels, and had lower nutritional status scores than did those in the PNI-high group (PNI ≥ 41.15). Based on Kaplan-Meier analysis, the overall survival rate was significantly better in the PNI-high group (78.3%) than in the PNI-low group (28.6%) (P < 0.001). Age, sex, body mass index, use of preoperative mechanical ventilation, C-reactive protein level, neutrophil-to-lymphocyte ratio, and PNI score were independent prognostic factors. Survival was significantly higher in the PNI-high group (hazard ratio: 0.220; P < 0.001) than in the PNI-low group, and incidence of complications ≥ grade IV was higher in the PNI-low group than in the PNI-high group (P < 0.001). Multivariate regression analysis showed that preoperative PNI score was significantly associated with postoperative survival, even after adjusting for other confounding factors. CONCLUSIONS: Our findings suggest that PNI is a useful prognostic marker for the identification of high-risk lung transplant recipients. Preoperative nutritional assessment using PNI may provide useful information for reducing postoperative morbidity and mortality.
BACKGROUND & AIMS: There is increasing evidence that preoperative nutritional status is a predictor of disease severity and mortality after lung transplantation (LTX). This study aimed to evaluate preoperative nutritional assessment as a predictor of LTX outcomes. METHODS: We included 132 patients who underwent single or double LTX at Severance Hospital, Yonsei University, between October 2010 and April 2016. The Prognostic Nutritional Index (PNI) scores were calculated as follows: 10 × serum albumin value (g/dL) + 0.005 × peripheral lymphocyte count (/mm3). The optimal cut-off PNI score for the prediction of postoperative overall survival was set at 41.15 using receiver operating characteristics analysis. The efficacies of PNI and other clinical factors in predicting LTX outcomes were determined using univariate and multivariate Cox proportional hazard analyses. RESULTS:Patients with PNI <41.15 (PNI-low group) were older, had higher preoperative C-reactive protein levels, and had lower nutritional status scores than did those in the PNI-high group (PNI ≥ 41.15). Based on Kaplan-Meier analysis, the overall survival rate was significantly better in the PNI-high group (78.3%) than in the PNI-low group (28.6%) (P < 0.001). Age, sex, body mass index, use of preoperative mechanical ventilation, C-reactive protein level, neutrophil-to-lymphocyte ratio, and PNI score were independent prognostic factors. Survival was significantly higher in the PNI-high group (hazard ratio: 0.220; P < 0.001) than in the PNI-low group, and incidence of complications ≥ grade IV was higher in the PNI-low group than in the PNI-high group (P < 0.001). Multivariate regression analysis showed that preoperative PNI score was significantly associated with postoperative survival, even after adjusting for other confounding factors. CONCLUSIONS: Our findings suggest that PNI is a useful prognostic marker for the identification of high-risk lung transplant recipients. Preoperative nutritional assessment using PNI may provide useful information for reducing postoperative morbidity and mortality.
Authors: Joanna M Schaenman; Joshua M Diamond; John R Greenland; Cynthia Gries; Cassie C Kennedy; Amit D Parulekar; Dmitry Rozenberg; Jonathan P Singer; Lianne G Singer; Laurie D Snyder; Sangeeta Bhorade Journal: Am J Transplant Date: 2020-12-24 Impact factor: 9.369
Authors: Andrew W Murray; Michael L Boisen; Ashley Fritz; J Ross Renew; Archer Kilbourne Martin Journal: J Thorac Dis Date: 2021-11 Impact factor: 2.895