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Misirlioglu NF, Uzun N, Ozen GD, Çalik M, Altinbilek E, Sutasir N, Baykara Sayili S, Uzun H. The Relationship between Neutrophil-Lymphocyte Ratios with Nutritional Status, Risk of Nutritional Indices, Prognostic Nutritional Indices and Morbidity in Patients with Ischemic Stroke. Nutrients 2024; 16:1225. [PMID: 38674915 PMCID: PMC11054104 DOI: 10.3390/nu16081225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 04/15/2024] [Accepted: 04/16/2024] [Indexed: 04/28/2024] Open
Abstract
Background: In recent years, whole blood parameters and derivatives have been used as prognostic criteria in the course of various diseases. The aim of this study was to evaluate the relationship between parameters such as the neutrophil-lymphocyte ratio (NLR), the systemic immune-inflammation index (SII), the prognostic nutritional index (PNI), controlling nutritional status (CONUT) score, nutritional risk index (NRI) and immunonutrition status and disease activity in patients with ischemic stroke of the small-vessel, large-vessel and other etiologies. Methods: We retrospectively evaluated the records of 1454 consecutive ischemic stroke patients hospitalized in the emergency department of Gaziosmanpasa Education and Research Hospital from 2019 to 2023. Results: Of the 1350 patients with ischemic stroke included in the study, 58.8% had small-vessel disease, 29.3% had large-vessel disease and 11.9% had other etiologies. There was a significant difference between the three etiology groups for PNI and CONUT. The mean of PNI was 47.30 ± 8.06 in the other etiology group, 37.25 ± 7.23 in the small-vessel group, and 34.78 ± 8.16 in the large-vessel disease group. The mean of CONUT was 5.49 ± 1.20 in the small-vessel group, 5.12 ± 1.46 in the large-vessel group and 4.22 ± 1.11 in the other etiology group. In addition, CONUT and PNI were also found to be independent risk factors for mortality. A negative significant correlation was observed between PNI and NLR (r: -0.692), SII (r: -0.591), and CONUT (r: -0.511). Significant correlations were observed between CONUT and NLR (r: 0.402), SII (r: 0.312). Conclusions: PNI, CONUT and NRI were found as more accurate prognostic indicators of nutritional status in patients with ischemic stroke. NLR and SII may be important predictive markers in the course and prognosis of stroke.
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Affiliation(s)
- Naile Fevziye Misirlioglu
- Department of Biochemistry, Gaziosmanpaşa Training and Research Hospital, University of Health Sciences, Istanbul 34098, Turkey;
| | - Nedim Uzun
- Department of Emergency, Gaziosmanpaşa Training and Research Hospital, University of Health Sciences, Istanbul 34098, Turkey; (N.U.); (M.Ç.)
| | - Gulenay Defne Ozen
- Department of Psychology, McGill University, Montreal, QC H3A 1G1, Canada;
| | - Mustafa Çalik
- Department of Emergency, Gaziosmanpaşa Training and Research Hospital, University of Health Sciences, Istanbul 34098, Turkey; (N.U.); (M.Ç.)
| | - Ertugrul Altinbilek
- Department of Emergency, Sisli Hamidiye Etfal Education and Research Hospital, University of Health Sciences, Istanbul 34098, Turkey; (E.A.); (N.S.)
| | - Necmettin Sutasir
- Department of Emergency, Sisli Hamidiye Etfal Education and Research Hospital, University of Health Sciences, Istanbul 34098, Turkey; (E.A.); (N.S.)
| | - Sena Baykara Sayili
- Emergency Department, Istanbul Training and Research Hospital, Istanbul 34075, Turkey;
| | - Hafize Uzun
- Department of Medical Biochemistry, Faculty of Medicine, Istanbul Atlas University, Istanbul 34403, Turkey
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Serón-Arbeloa C, Labarta-Monzón L, Puzo-Foncillas J, Mallor-Bonet T, Lafita-López A, Bueno-Vidales N, Montoro-Huguet M. Malnutrition Screening and Assessment. Nutrients 2022; 14:2392. [PMID: 35745121 PMCID: PMC9228435 DOI: 10.3390/nu14122392] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 06/01/2022] [Accepted: 06/06/2022] [Indexed: 01/04/2023] Open
Abstract
Malnutrition is a serious problem with a negative impact on the quality of life and the evolution of patients, contributing to an increase in morbidity, length of hospital stay, mortality, and health spending. Early identification is fundamental to implement the necessary therapeutic actions, involving adequate nutritional support to prevent or reverse malnutrition. This review presents two complementary methods of fighting malnutrition: nutritional screening and nutritional assessment. Nutritional risk screening is conducted using simple, quick-to-perform tools, and is the first line of action in detecting at-risk patients. It should be implemented systematically and periodically on admission to hospital or residential care, as well as on an outpatient basis for patients with chronic conditions. Once patients with a nutritional risk are detected, they should undergo a more detailed nutritional assessment to identify and quantify the type and degree of malnutrition. This should include health history and clinical examination, dietary history, anthropometric measurements, evaluation of the degree of aggression determined by the disease, functional assessment, and, whenever possible, some method of measuring body composition.
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Affiliation(s)
- Carlos Serón-Arbeloa
- Intensive Care Unit, Department of Medicina, University Hospital San Jorge, 22004 Huesca, Spain; (L.L.-M.); (T.M.-B.); (A.L.-L.); (N.B.-V.)
- Faculty of Health and Sports Sciences, University of Zaragoza, 50009 Zaragoza, Spain
| | - Lorenzo Labarta-Monzón
- Intensive Care Unit, Department of Medicina, University Hospital San Jorge, 22004 Huesca, Spain; (L.L.-M.); (T.M.-B.); (A.L.-L.); (N.B.-V.)
- Faculty of Health and Sports Sciences, University of Zaragoza, 50009 Zaragoza, Spain
| | - José Puzo-Foncillas
- Faculty of Health and Sports Sciences, University of Zaragoza, 50009 Zaragoza, Spain
- Clinical Analysis and Biochemistry Service, Department of Medicina, University Hospital San Jorge, 22004 Huesca, Spain;
| | - Tomas Mallor-Bonet
- Intensive Care Unit, Department of Medicina, University Hospital San Jorge, 22004 Huesca, Spain; (L.L.-M.); (T.M.-B.); (A.L.-L.); (N.B.-V.)
- Faculty of Health and Sports Sciences, University of Zaragoza, 50009 Zaragoza, Spain
| | - Alberto Lafita-López
- Intensive Care Unit, Department of Medicina, University Hospital San Jorge, 22004 Huesca, Spain; (L.L.-M.); (T.M.-B.); (A.L.-L.); (N.B.-V.)
- Faculty of Health and Sports Sciences, University of Zaragoza, 50009 Zaragoza, Spain
| | - Néstor Bueno-Vidales
- Intensive Care Unit, Department of Medicina, University Hospital San Jorge, 22004 Huesca, Spain; (L.L.-M.); (T.M.-B.); (A.L.-L.); (N.B.-V.)
- Faculty of Health and Sports Sciences, University of Zaragoza, 50009 Zaragoza, Spain
| | - Miguel Montoro-Huguet
- Faculty of Health and Sports Sciences, University of Zaragoza, 50009 Zaragoza, Spain
- Unit of Gastroenterology, Hepatology, and Nutrition, Department of Medicina, University Hospital San Jorge, 22004 Huesca, Spain
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