Survival and Nutritional Status of Male and Female Heart Transplant Patients Based on the Nutritional Risk Index.
Deema A AlmutawaMay AlmuammarMona Mohamed ElshafieGhadeer S AljuraibanAlaa AlnafisahMahmoud Mustafa Ali AbulmeatyPublished in: Nutrients (2020)
Malnutrition among heart-transplant patients may affect survival. The aim was to investigate the survival and nutrition status among male and female heart transplant patients who underwent transplantation, before and 1 year after surgery based on the nutritional risk index (NRI). The medical records of ninety heart-transplant patients (2009-2014) from the King Faisal Specialist Hospital, Riyadh, were reviewed. The assessment included demographic data, anthropometric measurements, and NRI calculation. Moreover, postoperative data included the length of stay and survival. Paired t-test and survival analysis by Kaplan-Meier (KM) curves were used. A total of 90 patients (males 77.78%) were included. The prevalence of malnutrition in the preoperative phase by NRI was 60% (7.78% as severe; 40% as moderate, and 12.22% mild NRI scores). After 1 year, body mass index (BMI) and NRI increased significantly (p < 0.001). Furthermore, NRI was significantly different between men and women (p < 0.01), while KM survival curves were insignificantly different (p = 0.67). Recipients with postoperative moderate or severe nutritional risk (NRI < 97.5) had significantly shorter survival in the first-year post-transplantation (HR = 0.82; 95% CI, 0.75-0.89; p < 0.001). Our findings indicate that the NRI after 1 year of transplant correlated significantly with mortality. Besides, there was no significant gender difference regarding survival; however, malnutrition and low survival were more prominent among women.
Keyphrases
- end stage renal disease
- ejection fraction
- newly diagnosed
- body mass index
- chronic kidney disease
- heart failure
- peritoneal dialysis
- prognostic factors
- healthcare
- physical activity
- type diabetes
- cardiovascular disease
- risk factors
- free survival
- coronary artery disease
- pregnant women
- body composition
- bone marrow
- metabolic syndrome
- big data
- adipose tissue
- deep learning
- mesenchymal stem cells
- saudi arabia
- skeletal muscle
- data analysis