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Journals / Sağlık Akademisi Kastamonu / 2024 / Cilt: 9 Sayı: 3

THE RELATIONSHIP OF COVID-19 MORTALITY AND PROGNOSTIC NUTRITIONAL INDEX IN GERIATRIC POPULATION

Geriatrik Popülasyonda Prognostik Nutrisyonel İndex ve Covid19 Mortalite İlişkisi

Atacan Aras(UNIVERSITY OF HEALTH SCIENCES, ANKARA HEALTH RESEARCH CENTER, DEPARTMENT OF INTERNAL MEDICINE, DEPARTMENT OF INTERNAL MEDICINE, GERIATRICS (MEDICINE))0000-0001-5168-7285
Kamile Silay(UNIVERSITY OF HEALTH SCIENCES, ANKARA HEALTH RESEARCH CENTER, DEPARTMENT OF INTERNAL MEDICINE, DEPARTMENT OF INTERNAL MEDICINE, GERIATRICS (MEDICINE))0000-0003-0384-4957
Güneş Arık(UNIVERSITY OF HEALTH SCIENCES, ANKARA HEALTH RESEARCH CENTER, DEPARTMENT OF INTERNAL MEDICINE, DEPARTMENT OF INTERNAL MEDICINE, GERIATRICS (MEDICINE))0000-0002-4766-3982
Mercan Taştemur(UNIVERSITY OF HEALTH SCIENCES, ANKARA HEALTH RESEARCH CENTER, DEPARTMENT OF INTERNAL MEDICINE, DEPARTMENT OF INTERNAL MEDICINE, GERIATRICS (MEDICINE))0000-0003-0320-4095
İhsan Ateş(UNIVERSITY OF HEALTH SCIENCES, ANKARA HEALTH RESEARCH CENTER, DEPARTMENT OF INTERNAL MEDICINE, DEPARTMENT OF INTERNAL MEDICINE, GERIATRICS (MEDICINE))0000-0003-2858-6229
Rana Tuna Doğrul(UNIVERSITY OF HEALTH SCIENCES, ANKARA HEALTH RESEARCH CENTER, DEPARTMENT OF INTERNAL MEDICINE, DEPARTMENT OF INTERNAL MEDICINE, GERIATRICS (MEDICINE))0000-0001-9470-5113
Hande Selvi Öztorun(UNIVERSITY OF HEALTH SCIENCES, ANKARA HEALTH RESEARCH CENTER, DEPARTMENT OF INTERNAL MEDICINE, DEPARTMENT OF INTERNAL MEDICINE, GERIATRICS (MEDICINE))0000-0003-0343-8510
Erhan Özenç(UNIVERSITY OF HEALTH SCIENCES, ANKARA HEALTH RESEARCH CENTER, DEPARTMENT OF INTERNAL MEDICINE, DEPARTMENT OF INTERNAL MEDICINE, GERIATRICS (MEDICINE))0000-0003-4250-4373
Hilal Heybeli(UNIVERSITY OF HEALTH SCIENCES, ANKARA HEALTH RESEARCH CENTER, DEPARTMENT OF INTERNAL MEDICINE, DEPARTMENT OF INTERNAL MEDICINE, GERIATRICS (MEDICINE))0000-0003-1161-2961
Pages
407–417
Publication Date
2024-12-31
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Since all the patients included in our study were in the geriatric age group, the data we obtained may guide the course of COVID-19 infection, especially in patients in this age group.

📌 3 Key Takeaways

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Objective & Hypothesis:Introduction: We aimed to investigate the effect of Prognostic nutritional index (PNI) on prognosis and mortality among elderly patients with COVID-19 infection.
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Key Findings & Data:Methods: 401 patients included in the study, all of them were over 65 years old.
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Conclusion & Impact:Since all the patients included in our study were in the geriatric age group, the data we obtained may guide the course of COVID-19 infection, especially in patients in this age group.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Beslenme · Ölüm · SARS-COV-2

Abstract

Introduction: We aimed to investigate the effect of Prognostic nutritional index (PNI) on prognosis and mortality among elderly patients with COVID-19 infection. Methods: 401 patients included in the study, all of them were over 65 years old. PNI was compared with laboratory and demographic data. Results: Analysis was made of 401 patients, comprising 181 (45%) females and median age of 75.8±7.7 years. Three hundred and two (75.4%) patients were in the recovered group. Mean PNI value was 41.9±5.9 in the recovered group and 36.9±7 in the exitus group (p<0.001). According to multivariate logistic regression analysis, advanced age, high maximum ferritin level, high maximum IL-6 level and PNI<40 were identified as independent risk factors predicting exitus in COVID-19 patients. Conclusion: Prognostic models which including PNI scoring system, have been found to be useful in assessing the progression of COVID-19 and enhancing patient monitoring. Since all the patients included in our study were in the geriatric age group, the data we obtained may guide the course of COVID-19 infection, especially in patients in this age group.

Özet

Giriş: COVID-19 enfeksiyonu geçiren yaşlı hastalarda prognostik nutrisyonel indeksin (PNI) prognoz ve mortalite üzerindeki etkisini araştırmayı amaçladık. Gereç ve Yöntemler: Çalışmaya dahil edilen 401 hasta, tümü 65 yaş üstü idi. PNI laboratuvar ve demografik verilerle karşılaştırıldı. Bulgular: Değerlendirme 181'i (%45) kadın ve ortanca yaşı 75.8±7.7 yıl olan 401 hasta üzerinde yapıldı. Üç yüz iki (%75.4) hasta iyileşen gruptaydı. Ortalama PNI değeri iyileşen grupta 41.9±5.9, eksitus grubunda 36.9±7 idi (p<0.001). Çok değişkenli lojistik regresyon analizine göre, COVID-19 hastalarında ileri yaş, yüksek maksimum ferritin düzeyi, yüksek maksimum IL-6 düzeyi ve PNI<40 mortaliteyi öngörmede bağımsız risk faktörleri olarak belirlendi. Sonuç: PNI skorlama sistemini içeren prognostik modellerin COVID-19 progresyonunu değerlendirmede ve hasta takibini geliştirmede faydalı olduğu bulunmuştur. Çalışmamıza dahil edilen hastaların tamamı geriatrik yaş grubunda olduğundan elde ettiğimiz veriler özellikle bu yaş grubundaki hastalarda COVID-19 enfeksiyonunun seyrine kılavuz olabilir.

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Cite This Article

Aras, A., Silay, K., Arık, G., Taştemur, M., Ateş, İ., Doğrul, R. T., Öztorun, H. S., Özenç, E., Heybeli, H. (2024). THE RELATIONSHIP OF COVID-19 MORTALITY AND PROGNOSTIC NUTRITIONAL INDEX IN GERIATRIC POPULATION. Sağlık Akademisi Kastamonu, Cilt: 9 Sayı: 3, 407–417. https://doi.org/10.25279/sak.1163623

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