scholarly journals Adductor pollicis muscle thickness as a predictor of handgrip strength in hemodialysis patients

2013 ◽  
Vol 35 (3) ◽  
pp. 177-184 ◽  
Author(s):  
Raíssa Antunes Pereira ◽  
Alex Lopes Caetano ◽  
Lilian Cuppari ◽  
Maria Ayako Kamimura
2021 ◽  
Author(s):  
Maria Claudia Bernardes Spexoto ◽  
Talita Yoshimura da Costa ◽  
Juliana Yukari Suganuma ◽  
Sheilla de Faria

PLoS ONE ◽  
2019 ◽  
Vol 14 (8) ◽  
pp. e0220334 ◽  
Author(s):  
Katarina Papera Valente ◽  
Betullya Lucas Almeida ◽  
Thailiny Ricati Lazzarini ◽  
Vanusa Felício de Souza ◽  
Thamirys de Souza Chaves Ribeiro ◽  
...  

2020 ◽  
Vol 29 ◽  
pp. 49-61
Author(s):  
Arthur Fernandes Cortez ◽  
Vivian Pinto de Almeida ◽  
Bruno Bordallo Corrêa ◽  
Bruno Cezário Costa Reis ◽  
Gustavo Scaramuzza dos Reis ◽  
...  

2012 ◽  
Vol 31 (2) ◽  
pp. A41-A42
Author(s):  
Raíssa AntunesPereira ◽  
Alex LopesCaetano ◽  
Lilian Cuppari ◽  
Maria AyakoKamimura

Author(s):  
Aline Kirjner POZIOMYCK ◽  
Oly Campos CORLETA ◽  
Leandro Totti CAVAZZOLA ◽  
Antonio Carlos WESTON ◽  
Edson Braga LAMEU ◽  
...  

ABSTRACT Background: Malnutrition is very prevalent in patients with gastric cancer and increases the risk of morbidity and mortality. Adductor pollicis muscle thickness (APMT) appears as an important objective, quick, inexpensive and noninvasive measure to assess the muscle compartment Aim: To compare APMT and other nutritional assessment methods and to correlate these methods with postoperative mortality Methods: Forty-four patients, 29 men and 15 women, mean age of 63±10.2 and ranging from 34-83 years, who underwent nine (20.5%) partial and 34 (77.3%) total gastrectomies due to stomach cancer (stage II to IIIa) were preoperatively assessed by Patient Generated Subjective Global Assessment (PG-SGA), anthropometry and laboratorial profile Results: APMT better predicted death (p<0.001) on both, dominant and non-dominant hand, and well correlated with albumin (p=0.039) and PG-SGA (p=0.007) Conclusion: APMT clearly allowed to determine malnutrition and to predict risk of death in patients with gastric cancer.


2017 ◽  
Vol 17 ◽  
pp. 105-109 ◽  
Author(s):  
Arthur Fernandes Cortez ◽  
Julio Cesar Tolentino ◽  
Marília Ribeiro de Azevedo Aguiar ◽  
Rodrigo Moura Elarrat ◽  
Roberta Benitez Freitas Passos

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