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Prognostic Nutritional Index for COVID-19 Prognosis and a New Pre-Prediction Scoring Model for In- Hospital Mortality: Experiences from Turkey, Single Center Retrospective Cohort Analysis

23 Pages Posted: 30 Jul 2020

See all articles by Suat Doganci

Suat Doganci

Health Science University - Department of Cardiovasculer Surgery

Mehmet Emin Ince

Department of Anaesthesiology Reanimation and İntensive Care Medicine, Gulhane School of Medicine , Health Science University

Nadide Ors

Department of Anaesthesiology Reanimation and İntensive Care Medicine, Gulhane School of Medicine , Health Science University

Alperen Kutay Yildirim

Department of Cardiovascular Surgery, Gazi School of Medicine, Gazi University

Ender Sir

Department of Algology and Pain Medicine, Gulhane School of Medicine, Health Science University

Kubilay Karabacak

Department of Cardiovasculer Surgery, Gulhane School of Medicine, Health Science University

Sami Eksert

Department of Anaesthesiology Reanimation and İntensive Care Medicine, Gulhane School of Medicine , Health Science University

Taner Ozgurtas

Department of Biochemistry, Gulhane School of Medicine, Health Science University

Canturk Tascı

Department of Pulmonary Disease, Gulhane School of Medicine, Health Science University

Deniz Dogan

Department of Pulmonary Disease, Gulhane School of Medicine, Health Science University

Gokhan Ozkan

Department of Anaesthesiology Reanimation and İntensive Care Medicine, Gulhane School of Medicine , Health Science University

Ahmet Cosar

Department of Anaesthesiology Reanimation and İntensive Care Medicine, Gulhane School of Medicine , Health Science University

Mehmet Ali Gulcelik

Department of General Surgery, Gulhane School of Medicine,Health Science University

Kemalletin Aydin

Department of Infectious Disease and Clinical Microbiology, Gulhane School of Medicine

Vedat Yildirim

Department of Anaesthesiology Reanimation and İntensive Care Medicine, Gulhane School of Medicine , Health Science University

Cevdet Erdol

Department of Cardiology, Gulhane School of Medicine,Health Science University

More...

Abstract

Background: Although many studies reported prognostic factors proceeding to severity of COVID-19 patients, in none of the article a prediction scoring model has been proposed. In this article a new prediction tool is presented in combination of Turkish experince during pandemic.

Methods: Laboratory and clinical data of 397 over 798 confirmed COVID-19 patients from Gulhane Training and Research Hospital electronic medical record system were included into this retrospective cohort study between the dates of 23 March to 18 May, 2020. Patient demograhics, peripheral venous blood parameters, symptoms at admission, in hospital mortality data were collected. Non-survivor and survivor pateints were compared to find out a prediction scoring model for mortality.

Results: There was 34 [8.56% (95% CI:0.06-0.11)] mortality during study period. Mean age of patients was 57.1±16.7 years. Older age, comorbid diseases, symptoms such as fever, dyspnea, fatigue and gastrointestinal and WBC, neutrophil, lymphocyte count, C-reactive protein, neutrophil-to-lymphocyte ratio of patients in non-survivors were significantly higher. Univariate analysis demonstrated that OR for prognostic nutritional index (PNI) tertile 1 was 18.57 (95% CI=4.39-78.65, p<0.05) compared to tertile 2. Performance statistics of prediction scoring method showed 98% positive predictive value for criteria 1.

Conclusions: It is crucial to constitute prognostic clinical and laboratory parameters for faster delineate patients who are prone to worse prognosis. Suggested prediction scoring method may guide healthcare professional to discriminate severe COVID-19 patients and provide prompt intensive therapies which is highly important due to rapid progression leading to mortality.

Funding Statement: This research received no specific no grant from any funding agency in the public, commercial, or not for profit sectors.

Declaration of Interests: The authors declare that they have no conflict of interest.

Ethics Approval Statement: This retrospective cohort study was approved by Ethics Committee of Health Sciences University, Gulhane School of Medicine (2020-152) and conducted in line with ethical standards of Declaration of Helsinki. Confirmed COVID-19 cases from 23 March to 18 May, 2020 were included consecutively. Anonymous clinical and laboratory findings were collected. Therefore, there was no requirement for informed consent.

Keywords: COVID-19; Prognostic Nutritional Index; Hospital Mortality; Neutrophil-to-Lymphocyte ratio; Prognosis; Mortality Prediction Model; High Sensitive-Modified Glasgow Prognostic Score

Suggested Citation

Doganci, Suat and Ince, Mehmet Emin and Ors, Nadide and Yildirim, Alperen Kutay and Sir, Ender and Karabacak, Kubilay and Eksert, Sami and Ozgurtas, Taner and Tascı, Canturk and Dogan, Deniz and Ozkan, Gokhan and Cosar, Ahmet and Gulcelik, Mehmet Ali and Aydin, Kemalletin and Yildirim, Vedat and Erdol, Cevdet, Prognostic Nutritional Index for COVID-19 Prognosis and a New Pre-Prediction Scoring Model for In- Hospital Mortality: Experiences from Turkey, Single Center Retrospective Cohort Analysis (6/8/2020). Available at SSRN: https://ssrn.com/abstract=3624254 or http://dx.doi.org/10.2139/ssrn.3624254

Suat Doganci (Contact Author)

Health Science University - Department of Cardiovasculer Surgery ( email )

Ankara
Turkey

Mehmet Emin Ince

Department of Anaesthesiology Reanimation and İntensive Care Medicine, Gulhane School of Medicine , Health Science University

Nadide Ors

Department of Anaesthesiology Reanimation and İntensive Care Medicine, Gulhane School of Medicine , Health Science University

Alperen Kutay Yildirim

Department of Cardiovascular Surgery, Gazi School of Medicine, Gazi University

Ender Sir

Department of Algology and Pain Medicine, Gulhane School of Medicine, Health Science University

Kubilay Karabacak

Department of Cardiovasculer Surgery, Gulhane School of Medicine, Health Science University

Sami Eksert

Department of Anaesthesiology Reanimation and İntensive Care Medicine, Gulhane School of Medicine , Health Science University

Taner Ozgurtas

Department of Biochemistry, Gulhane School of Medicine, Health Science University

Canturk Tascı

Department of Pulmonary Disease, Gulhane School of Medicine, Health Science University

Deniz Dogan

Department of Pulmonary Disease, Gulhane School of Medicine, Health Science University

Gokhan Ozkan

Department of Anaesthesiology Reanimation and İntensive Care Medicine, Gulhane School of Medicine , Health Science University

Ahmet Cosar

Department of Anaesthesiology Reanimation and İntensive Care Medicine, Gulhane School of Medicine , Health Science University

Mehmet Ali Gulcelik

Department of General Surgery, Gulhane School of Medicine,Health Science University

Kemalletin Aydin

Department of Infectious Disease and Clinical Microbiology, Gulhane School of Medicine

Vedat Yildirim

Department of Anaesthesiology Reanimation and İntensive Care Medicine, Gulhane School of Medicine , Health Science University

Cevdet Erdol

Department of Cardiology, Gulhane School of Medicine,Health Science University

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