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Prognostic nutritional index to predicting mortality in surgical intensive care patients
, 2
Affiliations- Department of Intensive Care Unit, University of Health Sciences, Ankara City Hospital, Ankara, Turkey
- Department of Intensive Care Unit, University of Health Sciences, Şanlıurfa Mehmet Akif İnan Research and Training Hospital, Şanlıurfa, Turkey
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Abstract
INTRODUCTION: It is known that immuno-nutritional status affects clinical outcomes in intensive care (ICU) patients. This study aimed to evaluate the relationship of the Prognostic Nutritional Index (PNI) with mortality in surgical ICU patients.
MATERIAL AND METHODS: The single-center, retrospective, observational study was conducted in a 17-bed surgical ICU. Patients over the age of 18 who were hospitalized between May 1, 2018, and May 1, 2019, were evaluated.
RESULTS: 217 patients followed in the surgical ICU were evaluated. The mean age of the study population was 51.84 ± 21.25 years, and 150 (69.10%) patients were male. ICU mortality was calculated as 16.10%. Trauma was the most common reason for hospitalization in both groups, and there was no difference between the two groups in terms of hospitalization reasons. The PNI score was found to be significantly lower in the non-survivor group compared to the survivors (p < 0.001). The PNI cut-off value in predicting mortality was found to be 32.01 with a sensitivity of 0.829 and a specificity of 0.956 [AUC = 0.957 (95% CI from 0.929 to 0.984); p < 0.001].
CONCLUSIONS: PNI is a cost-effective scoring system that can be calculated with a simple formulation. In our study, in which surgical ICU cases were evaluated, lower PNI values were found in patients with mortality compared to those who survived. We believe that PNI can be used in the prediction of mortality in surgical ICU cases, and our study will shed light on future studies on this subject.
Abstract
INTRODUCTION: It is known that immuno-nutritional status affects clinical outcomes in intensive care (ICU) patients. This study aimed to evaluate the relationship of the Prognostic Nutritional Index (PNI) with mortality in surgical ICU patients.
MATERIAL AND METHODS: The single-center, retrospective, observational study was conducted in a 17-bed surgical ICU. Patients over the age of 18 who were hospitalized between May 1, 2018, and May 1, 2019, were evaluated.
RESULTS: 217 patients followed in the surgical ICU were evaluated. The mean age of the study population was 51.84 ± 21.25 years, and 150 (69.10%) patients were male. ICU mortality was calculated as 16.10%. Trauma was the most common reason for hospitalization in both groups, and there was no difference between the two groups in terms of hospitalization reasons. The PNI score was found to be significantly lower in the non-survivor group compared to the survivors (p < 0.001). The PNI cut-off value in predicting mortality was found to be 32.01 with a sensitivity of 0.829 and a specificity of 0.956 [AUC = 0.957 (95% CI from 0.929 to 0.984); p < 0.001].
CONCLUSIONS: PNI is a cost-effective scoring system that can be calculated with a simple formulation. In our study, in which surgical ICU cases were evaluated, lower PNI values were found in patients with mortality compared to those who survived. We believe that PNI can be used in the prediction of mortality in surgical ICU cases, and our study will shed light on future studies on this subject.
Keywords
Prognostic Nutritional Index; surgical ICU; malnutrition; mortality; intensive care
About this articleTitle
Prognostic nutritional index to predicting mortality in surgical intensive care patients
Journal
Disaster and Emergency Medicine Journal
Issue
Article type
Research paper
Pages
191-197
Published online
2022-09-28
Page views
7117
Article views/downloads
257
DOI
Bibliographic record
Disaster Emerg Med J 2022;7(3):191-197.
Keywords
Prognostic Nutritional Index
surgical ICU
malnutrition
mortality
intensive care
Authors
Hayriye Cankar Dal
Firdevs Tugba Bozkurt
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