Purpose: Prognostic nutritional index (PNI), a composite indicator of inflammation and nutritional status, has recently been recognized as an independent prognostic marker for chronic kidney disease (CKD). We aimed to investigate PNI and its relationship with mortality in elderly patients with CKD.
Methods: Three hundred and fifty-nine patients over the age of 80 years with stage 3-4 CKD were enrolled in this retrospective study. PNI was used to assess the nutritional status of the patients. Patients were divided into two different groups as deceased and survived and as low PNI (< 39) and high PNI (≥ 39) according to median value of PNI.
Results: The mean age of the patients was 85.7 ± 3.7 years. One hundred and ninety-five (54.3%) patients died during follow-up. Multivariate analysis revealed that male gender, PNI, proteinuria, and diabetes mellitus (DM) were independent predictors of mortality in elderly patients with CKD. When patients with low PNI were compared to those with high PNI, initiation of dialysis and mortality rate were significantly higher whereas albumin, hemoglobin and lymphocyte count were lower. Pearson correlation analysis showed that PNI was significantly correlated with albumin (r = 1.000, p < 0.001), hemoglobin (r = 0.340, p < 0.001) and eGFR (r = 0.123, p = 0.020). Hemoglobin was an independent predictor of PNI in multivariate analysis.
Conclusion: In this study, we observed that PNI was significantly associated with mortality over the age of 80 years in patients with CKD and can be used to monitor nutritional status in this patient population.
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http://dx.doi.org/10.1007/s11255-021-03002-6 | DOI Listing |
J Comput Assist Tomogr
November 2024
From the Department of Nutritional Sciences, University of Wisconsin-Madison, Madison, WI.
Objective: Computed tomography (CT) measured muscle density is prognostic of health outcomes. However, the use of intravenous contrast obscures prognoses by artificially increasing CT muscle density. We previously established a correction to equalize contrast and noncontrast muscle density measurements.
View Article and Find Full Text PDFEgypt Heart J
January 2025
Department of Emergency Medicine, Ümraniye Education and Research Hospital, University of Health Sciences, Site Mahallesi, Adıvar Sokak, No 44/15, Ümraniye, İstanbul, Turkey.
Background: Heart failure is a critical cardiovascular condition, necessitating comprehensive treatment approaches and contributing to elevated mortality rates. This study aimed to evaluate the effect of the prognostic nutritional index (PNI) on the prognosis of geriatric patients diagnosed with acute heart failure.
Results: A total of 104 patients were included and evaluated retrospectively in this study; 57.
JPEN J Parenter Enteral Nutr
January 2025
Department of Nutrition, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil.
Background: Many nutrition risk screening tools include low body mass index (BMI). It remains uncertain whether it affects the validity of these tools in patients with overweight or obesity. We aimed to determine the frequency of malnutrition risk and evaluate its association with hospital length of stay in hospitalized adults according to BMI classification.
View Article and Find Full Text PDFCureus
December 2024
Pediatrics, Assiut University, Assiut, EGY.
Background Feeding and growth during infancy have been associated with later life body mass index and early excessive weight gain is associated with obesity later on. This study aimed to assess the effect of feeding in the first two years of life on the body composition of children at the preschool age and detect the importance of using bioelectrical impedance (BIA) analysis in identifying individuals at risk of overweight and obesity. Methods A cross-sectional study included 160 children.
View Article and Find Full Text PDFJ Anaesthesiol Clin Pharmacol
June 2024
Department of Anaesthesiology and Palliative Medicine, Bhagwan Mahaveer Cancer Hospital and Research Centre, Jaipur, Rajasthan, India.
Background And Aims: Post-Covid-19 cancer patients are likely to have poor postoperative outcomes following cancer surgeries. This is mainly because of the coexisting risk factors unique to cancer patients like immunosuppression, chemotherapy, and radiotherapy-induced risk of infection and malnutrition. The purpose of this study was to compare the postoperative morbidity in cancer patients with and without a history of Covid infection.
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