The relationship between prognostic nutritional index and mortality in patients hospitalized with COVID-19 Pneumonia

Muhammed Şahin; Burcu Akkök; Betül Kızıldağ; Fulsen Bozkuş; Nurhan Atilla; Hasan Kahraman

Makale detayları

The relationship between prognostic nutritional index and mortality in patients hospitalized with COVID-19 Pneumonia

Yazarlar:

Muhammed Şahin | Burcu Akkök | Betül Kızıldağ | Fulsen Bozkuş | Nurhan Atilla | Hasan Kahraman

Yayıncı:

Hatay Mustafa Kemal University

Ana Başlıklar:

Clinical Sciences (Other)

Dergi:

Interdisciplinary Medical Journal Vol.14 Issue 49, pp.132-139

Belge Tipi:

Makale

Yayın Tarihi:

8/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001297788

pISSN:

2980-1915

Anahtar kelimeler:

Özet:

 Objective: We aimed to investigate the ability of the Prognostic Nutritional Index PNI score to predict the prognosis and mortality of patients hospitalized for COVID-19 Pneumonia. Methods: One hundred seventy-three patients were included in the study. The patients were grouped as patients with or without pneumonia, those who were hospitalized in the ward or intensive care unit, who were discharged, or who died. The ability of the PNI score, which was calculated according to the results at the time of admission, to predict hospitalization and mortality in the intensive care unit was evaluated. Results: The mean age of the patients was found to be 53.9 years. Pneumonia was detected in 72.3 of the patients. The need for intensive care developed in 26 of them. The PNI score was found to be significantly lower p0.05 in patients with pneumonia compared to patients without pneumonia. The PNI score of the patients hospitalized in the intensive care unit was found to be significantly p0.05 lower than the patients hospitalized in the ward. The PNI score of the patients who died was found to be significantly lower p0.05 than the patients who were discharged. The cut-off value of the PNI score was found to be 46. Conclusion: The PNI score which are among routine blood tests, was found to be effective in predicting intensive care unit admission and mortality. We believe that using the PNI score together with other biomarkers will be beneficial for clinicians in the prediction of the prognosis of patients.

 Objective: We aimed to investigate the ability of the Prognostic Nutritional Index PNI score to predict the prognosis and mortality of patients hospitalized for COVID-19 Pneumonia. Methods: One hundred seventy-three patients were included in the study. The patients were grouped as patients with or without pneumonia, those who were hospitalized in the ward or intensive care unit, who were discharged, or who died. The ability of the PNI score, which was calculated according to the results at the time of admission, to predict hospitalization and mortality in the intensive care unit was evaluated. Results: The mean age of the patients was found to be 53.9 years. Pneumonia was detected in 72.3 of the patients. The need for intensive care developed in 26 of them. The PNI score was found to be significantly lower p0.05 in patients with pneumonia compared to patients without pneumonia. The PNI score of the patients hospitalized in the intensive care unit was found to be significantly p0.05 lower than the patients hospitalized in the ward. The PNI score of the patients who died was found to be significantly lower p0.05 than the patients who were discharged. The cut-off value of the PNI score was found to be 46. Conclusion: The PNI score which are among routine blood tests, was found to be effective in predicting intensive care unit admission and mortality. We believe that using the PNI score together with other biomarkers will be beneficial for clinicians in the prediction of the prognosis of patients.

 Objective: We aimed to investigate the ability of the Prognostic Nutritional Index PNI score to predict the prognosis and mortality of patients hospitalized for COVID-19 Pneumonia. Methods: One hundred seventy-three patients were included in the study. The patients were grouped as patients with or without pneumonia, those who were hospitalized in the ward or intensive care unit, who were discharged, or who died. The ability of the PNI score, which was calculated according to the results at the time of admission, to predict hospitalization and mortality in the intensive care unit was evaluated. Results: The mean age of the patients was found to be 53.9 years. Pneumonia was detected in 72.3 of the patients. The need for intensive care developed in 26 of them. The PNI score was found to be significantly lower p0.05 in patients with pneumonia compared to patients without pneumonia. The PNI score of the patients hospitalized in the intensive care unit was found to be significantly p0.05 lower than the patients hospitalized in the ward. The PNI score of the patients who died was found to be significantly lower p0.05 than the patients who were discharged. The cut-off value of the PNI score was found to be 46. Conclusion: The PNI score which are among routine blood tests, was found to be effective in predicting intensive care unit admission and mortality. We believe that using the PNI score together with other biomarkers will be beneficial for clinicians in the prediction of the prognosis of patients.

 Objective: We aimed to investigate the ability of the Prognostic Nutritional Index PNI score to predict the prognosis and mortality of patients hospitalized for COVID-19 Pneumonia. Methods: One hundred seventy-three patients were included in the study. The patients were grouped as patients with or without pneumonia, those who were hospitalized in the ward or intensive care unit, who were discharged, or who died. The ability of the PNI score, which was calculated according to the results at the time of admission, to predict hospitalization and mortality in the intensive care unit was evaluated. Results: The mean age of the patients was found to be 53.9 years. Pneumonia was detected in 72.3 of the patients. The need for intensive care developed in 26 of them. The PNI score was found to be significantly lower p0.05 in patients with pneumonia compared to patients without pneumonia. The PNI score of the patients hospitalized in the intensive care unit was found to be significantly p0.05 lower than the patients hospitalized in the ward. The PNI score of the patients who died was found to be significantly lower p0.05 than the patients who were discharged. The cut-off value of the PNI score was found to be 46. Conclusion: The PNI score which are among routine blood tests, was found to be effective in predicting intensive care unit admission and mortality. We believe that using the PNI score together with other biomarkers will be beneficial for clinicians in the prediction of the prognosis of patients.

Makale detayları

The relationship between prognostic nutritional index and mortality in patients hospitalized with COVID-19 Pneumonia

Yazarlar:

Muhammed Şahin | Burcu Akkök | Betül Kızıldağ | Fulsen Bozkuş | Nurhan Atilla | Hasan Kahraman

Yayıncı:

Hatay Mustafa Kemal University

Ana Başlıklar:

Clinical Sciences (Other)

Dergi:

Interdisciplinary Medical Journal Vol.14 Issue 49, pp.132-139

Belge Tipi:

Makale

Yayın Tarihi:

8/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001297788

pISSN:

2980-1915

Albumin

COVID-19

Lymphopenia

Prognostic Nutritional Index

Prognosis

Sayı

Makale detayları

The relationship between prognostic nutritional index and mortality in patients hospitalized with COVID-19 Pneumonia

Yazarlar: Muhammed Şahin | Burcu Akkök | Betül Kızıldağ | Fulsen Bozkuş | Nurhan Atilla | Hasan Kahraman

Yayıncı: Hatay Mustafa Kemal University

Ana Başlıklar: Clinical Sciences (Other)

Dergi: Interdisciplinary Medical Journal Vol.14 Issue 49, pp.132-139

Belge Tipi: Makale

Yayın Tarihi: 8/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001297788

pISSN: 2980-1915

Albumin

COVID-19

Lymphopenia

Prognostic Nutritional Index

Prognosis

Sayı

Yazarlar:

Muhammed Şahin | Burcu Akkök | Betül Kızıldağ | Fulsen Bozkuş | Nurhan Atilla | Hasan Kahraman

Yayıncı:

Hatay Mustafa Kemal University

Ana Başlıklar:

Clinical Sciences (Other)

Dergi:

Interdisciplinary Medical Journal Vol.14 Issue 49, pp.132-139

Belge Tipi:

Makale

Yayın Tarihi:

8/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001297788

pISSN:

2980-1915