The prognostic value of prognostic nutritional index and renal function indicators for mortality prediction in severe COVID-19 elderly patients: A retrospective study.
Medicine (Baltimore)
; 103(20): e38213, 2024 May 17.
Article
em En
| MEDLINE
| ID: mdl-38758852
ABSTRACT
Identifying prognostic factors in elderly patients with severe coronavirus disease 2019 (COVID-19) is crucial for clinical management. Recent evidence suggests malnutrition and renal dysfunction are associated with poor outcome. This study aimed to develop a prognostic model incorporating prognostic nutritional index (PNI), estimated glomerular filtration rate (eGFR), and other parameters to predict mortality risk. This retrospective analysis included 155 elderly patients with severe COVID-19. Clinical data and outcomes were collected. Logistic regression analyzed independent mortality predictors. A joint predictor "L" incorporating PNI, eGFR, D-dimer, and lactate dehydrogenase (LDH) was developed and internally validated using bootstrapping. Decreased PNI (ORâ
=â
1.103, 95% CI 0.78-1.169), decreased eGFR (ORâ
=â
0.964, 95% CI 0.937-0.992), elevated D-dimer (ORâ
=â
1.001, 95% CI 1.000-1.004), and LDH (ORâ
=â
1.005, 95% CI 1.001-1.008) were independent mortality risk factors (all Pâ
<â
.05). The joint predictor "L" showed good discrimination (area under the curve [AUC] = 0.863) and calibration. The bootstrapped area under the curve was 0.858, confirming model stability. A combination of PNI, eGFR, D-dimer, and LDH provides useful prognostic information to identify elderly patients with severe COVID-19 at highest mortality risk for early intervention. Further external validation is warranted.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Avaliação Nutricional
/
SARS-CoV-2
/
COVID-19
/
Taxa de Filtração Glomerular
Limite:
Aged
/
Aged80
/
Female
/
Humans
/
Male
Idioma:
En
Revista:
Medicine (Baltimore)
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
China