Investigation of the Prognostic Value of Psoas Muscle Area Measurement in Pediatric Patients Before Liver Transplantation: A Single‐Center Retrospective Study

2021 ◽  
Author(s):  
Nurullah Dag ◽  
Sinan Karatoprak ◽  
Mehmet Ozturk ◽  
Nur Betul Karatoprak ◽  
Ahmet Sigirci ◽  
...  
2021 ◽  
Vol 16 ◽  
pp. 117727192110270
Author(s):  
Gönül Açıksarı ◽  
Mehmet Koçak ◽  
Yasemin Çağ ◽  
Lütfiye Nilsun Altunal ◽  
Adem Atıcı ◽  
...  

Background: The current knowledge about novel coronavirus-2019 (COVID-19) indicates that the immune system and inflammatory response play a crucial role in the severity and prognosis of the disease. In this study, we aimed to investigate prognostic value of systemic inflammatory biomarkers including C-reactive protein/albumin ratio (CAR), prognostic nutritional index (PNI), neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) in patients with severe COVID-19. Methods: This single-center, retrospective study included a total of 223 patients diagnosed with severe COVID-19. Primary outcome measure was mortality during hospitalization. Multivariate logistic regression analyses were performed to identify independent predictors associated with mortality in patients with severe COVID-19. Receiver operating characteristic (ROC) curve was used to determine cut-offs, and area under the curve (AUC) values were used to demonstrate discriminative ability of biomarkers. Results: Compared to survivors of severe COVID-19, non-survivors had higher CAR, NLR, and PLR, and lower LMR and lower PNI ( P < .05 for all). The optimal CAR, PNI, NLR, PLR, and LMR cut-off values for detecting prognosis were 3.4, 40.2, 6. 27, 312, and 1.54 respectively. The AUC values of CAR, PNI, NLR, PLR, and LMR for predicting hospital mortality in patients with severe COVID-19 were 0.81, 0.91, 0.85, 0.63, and 0.65, respectively. In ROC analysis, comparative discriminative ability of CAR, PNI, and NLR for hospital mortality were superior to PLR and LMR. Multivariate analysis revealed that CAR (⩾0.34, P = .004), NLR (⩾6.27, P = .012), and PNI (⩽40.2, P = .009) were independent predictors associated with mortality in severe COVID-19 patients. Conclusions: The CAR, PNI, and NLR are independent predictors of mortality in hospitalized severe COVID-19 patients and are more closely associated with prognosis than PLR or LMR.


2012 ◽  
Vol 5 (1) ◽  
pp. 663 ◽  
Author(s):  
Sudul Senanayake ◽  
Madunil Niriella ◽  
Sanjaya Weerasinghe ◽  
Anuradhani Kasturiratne ◽  
Jerome de Alwis ◽  
...  

Nutrients ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 3015 ◽  
Author(s):  
Barbara Lattanzi ◽  
Daria D’Ambrosio ◽  
Daniele Tavano ◽  
Demis Pitoni ◽  
Gianluca Mennini ◽  
...  

The development of nutritional and metabolic abnormalities represents an important burden in patients after liver transplantation (LT). Our study aimed at evaluating the incidence, time of onset, and risk factors for nutritional and metabolic abnormalities in patients after LT. The study was a single-center retrospective study. Consecutive patients undergoing elective LT from 2000 to 2016 were enrolled. The presence of at least two among arterial hypertension (AH), diabetes mellitus (DM), dyslipidemia, and obesity (BMI ≥ 30 Kg/m2) was utilized to define patients with the metabolic disorder (MD). Three hundred and fifteen patients were enrolled; the median age was 56 years (68% males). Non-alcoholic steatohepatitis (NASH) was the origin of liver disease in 10% of patients. During follow-up, 39% of patients developed AH, 18% DM, and 17% dyslipidemia. Metabolic disorders were observed in 32% of patients. The NASH etiology (OR: 6.2; CI 95% 0.5–3; p = 0.003) and a longer follow-up (OR: 1.2; CI 95% 0.004–0.02; p = 0.002) were associated with de novo MD. In conclusion, nutritional and metabolic disorders are a frequent complication after LT, being present in up to one-third of patients. The NASH etiology and a longer distance from LT are associated with de novo MD after LT.


2019 ◽  
Vol 32 (5) ◽  
pp. 473-480 ◽  
Author(s):  
Rafaela Capelli ◽  
Marc‐Antoine Allard ◽  
Oriana Ciacio ◽  
Gabriella Pittau ◽  
Nicolas Golse ◽  
...  

2017 ◽  
Vol 41 (5) ◽  
pp. S40
Author(s):  
Raad Alwithenani ◽  
Sarah De Brabandere ◽  
Irina Rachinsky ◽  
S. Danielle Macneil ◽  
Mahmoud Badreddine ◽  
...  

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