Cortez et al (2016) (20)20 Cortez AF, Tolentino JC, Aguiar MRA, Elarrat RM, Passos RBF. Association between adductor pollicis muscle thickness, anthropometric and immunological parameters in HIV-positive patients. Clin Nutr ESPEN[Internet]. 2016[cited 2017 Dec 12];17:105-9. Available from: https://www.sciencedirect.com/science/article/pii/S2405457716302753
https://www.sciencedirect.com/science/ar...
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APMT-DH = 17.9 ± 3.9 mm. APMT-NDH = 16.7 ± 3.8 mm. |
APMT-DH = 14.1 ± 3.8 mm. APMT-NDH = 12.5 ± 3.8 mm. |
APMT-DH = 16.2 ± 4.3 mm. APMT-NDH = 14.8 ± 4.3 mm. |
* APMT-DH showed correlations with weight (r = 0.52), BMI (r = 0.43), BC (r = 0.46), BMC (r = 0.45), BMA (r = 0.42) and WC (r = 0.32). * APMT-NDH showed correlations with weight (r = 0.48), BMI (r = 0.31), BC (r = 0.42), BMC (r = 0.40), BMA (r = 0.37) and WC (r = 0.21). * In the multiple linear regression, APMT-DH values were influenced by weight (r = 0.31) and female (r = -0.36); APMT-NDH was influenced only by the female sex (r = -0.42). |
Neves et al (2016) (21)21 Neves AM, Führer CD, Almeida JCD, Hammes TO. Músculo adutor do polegar como ferramenta de avaliação nutricional em pacientes portadores do vírus da imunodeficiência humana. Clin Biomed Res[Internet]. 2016[cited 2017 Dec 12];36(4):214-21. Available from: http://seer.ufrgs.br/index.php/hcpa/article/view/66344
http://seer.ufrgs.br/index.php/hcpa/arti...
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APMT-RH = 10.3 ± 4.5 mm. APMT-LH = 9.9 ± 4.2 mm. |
APMT-RH = 8.7 ± 4.7 mm. APMT-LH = 8.4 ± 2.4 mm. |
APMT-RH = 9.6 ± 4.7 mm. APMT-LH = 8.9 ± 3.5 mm. |
* APMT-RH showed correlation with current weight (r = 0.32). * APMT-LH showed correlations with current weight (r = 0.37), BMI (r = 0.32), BC (r = 0.45), BMC (r = 0.41) and BMA (r = 0.41 ). *APMT values of well-nourished patients (GSA-A = 10.5 ± 3.6 mm) were higher than those at risk of malnutrition or malnourishment (GSA-B + GSA-C = 8.2 ± 3.2 mm ). *APMT-RH did not differ between GSA-A (11.7 ± 6.2 mm), GSA-B (8.6 ± 3.3 mm) and GSA-C (7.9 ± 2.1 mm). |
Valente et al (2016) (22)22 Valente KP, Silva NMF, Faioli AB, Barreto MA, Moraes RAG, Guandalini VR. Espessura do músculo adutor do polegar na avaliação nutricional de pacientes cirúrgicos. Einstein[Internet]. 2016[cited 2017 Dec 12];14(1):18-24. Available from: www.scielo.br/pdf/eins/v14n1/pt_1679-4508-eins-14-1-0018.pdf
www.scielo.br/pdf/eins/v14n1/pt_1679-450...
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27.4% presented the APMT-DH <13.1 mm (cut-off point for malnutrition) |
56.0% presented the APMT-DH <13.1 mm (cut-off point for malnutrition). |
40% presented the APMT-DH <13.1 mm (cut-off point for malnutrition). |
* The nutritional status defined by APMT was associated with BMI, GSA and nutritional risk. * The APMT showed correlations with BMI (r = 0.29), BMC (r = 0.33), CBMA (r = 0.37) and CC (r = 0.32). * The variables gender, BMI, BMC and CBMA remained in the final multiple linear regression model, which explained 24.0% of the APMT value (R² = 0.238). * BMC was the variable that most influenced APMT, even after adjusting for sex, BMI and CBMA, with a reduction of 0.392 mm. |
Ghorabi et al (2016) (23)23 Ghorabi S, Ardehali H, Amiri Z, Shariatpanahi ZV. Association of the adductor pollicis muscle thickness with clinical outcomes in intensive care unit patients. Nutr Clin Pract[Internet]. 2016[cited 2017 Dec 12];31(4):523-6. Available from: https://doi.org/10.1177/0884533615621547
https://doi.org/10.1177/0884533615621547...
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APMT-DH = 14.5 ± 3.6 mm. APMT-NDH = 13.4 ± 3.6 mm. |
APMT-DH and APMT-NDH showed correlations with BC (r = 0.62 and r = 0.59, respectively), BMC (r = 0.68 and r = 0.66, respectively) and BMA (r = 0.44 in both). |
Bielemann et al (2016) (16)16 Murad MH, Montori VM, Loannidis JPA, Jaeschke R, Devereaux PJ, Prasad K, et al. How to read a systematic review and meta-analysis and apply the results to patient care users guides to the medical literature. JAMA[Internet]. 2014[cited 2017 Dec 12];312(2):171-9. Available from: https://jamanetwork.com/journals/jama/fullarticle/10.1001/jama.2014.5559
https://jamanetwork.com/journals/jama/fu...
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APMT-NDH = 24.2 ± 4.2 mm. |
APMT-NDH = 19.4 ± 3.9 mm. |
NR |
* APMT showed correlations, in men and women, with MM obtained by DEXA (r = 0.44 and r = 0.51, respectively) and MMI (r = 0.51 and r = 0.57, respectively). * The regression coefficients of APMT in the prediction of MM were similar for men (β: 0.7, 95% CI: 0.64-0.78) and women (β: 0.71, 95% CI: 0.65- 0.76). * The APMT, in men and women, respectively, explained 19.0% and 26.0% in the MM variation, and 26.0% and 33.0% in the MMI variation. |
Karst et al (2015) (24)24 Karst FP, Monteiro R, Vieira SB. Relationship between adductor pollicis muscle thickness and subjective global assessment in a cardiac intensive care unit. Rev Bras Ter Intensiva[Internet]. 2015[cited 2017 Dec 12];27(4):369-75. Available from: http://www.scielo.br/pdf/rbti/v27n4/en_0103-507X-rbti-27-04-0369.pdf
http://www.scielo.br/pdf/rbti/v27n4/en_0...
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APMT-RH = 8,0 ± 3,0 mm APMT-LH = 7,3 ± 2,7 mm. |
* APMT-RH and APMT-LH showed correlations with BMI (r = 0.45 and r = 0.44, respectively) and CC (r = 0.58 and r = 0.57, respectively). * The area under the ROC curve of the APMT-RH with GSA was 0.82 (95% CI: 0.73-0.91). |
Gonzalez et al (2014) (25)25 Gonzalez MC, Duarte RRP, Orlandi SP, Bielemann RM, Barbosa-Silva TG. Adductor pollicis muscle: a study about its use as a nutritional parameter in surgical patients. Clin Nutr[Internet]. 2015[cited 2017 Dec 12];34(5):1025-9. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0261-5614(14)00270-2
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APMT-DH : GSA-A 23.0 mm (21.0- 25.0 mm); GSA-B = 18.0 mm (16.0-20.0 mm); GSA-C = 17.0 mm (15.0-18.0 mm). APMT-NDH : GSA-A = 22.0 mm (20.0-25.0 mm); GSA-B = 18.0 mm (16.0-20.0 mm); GSA-C = 16.0 mm (12.0-18.0 mm). |
APMT-DH : GSA-A 26.0 mm (25.0 - 28.0 mm); GSA-B = 19.5 mm (16.5-22.0 mm); GSA-C = 18.0 mm (15.0-20.0 mm). APMT-NDH : GSA-A = 25.0 mm (24.0-28.0 mm); GSA-B = 18.0 mm (15.5-20.0 mm); GSA-C = 16.0 mm (15.0-20.0 mm). |
NR |
* APMT-DH and APMT-NDH showed correlations with age (r = -0.28 in both), weight (r = 0.52 and r = 0.56, respectively), height (r = 0.19 and r = 0.18, respectively ), BMI (r = 0.44 and r = 0.50, respectively) and GSA (r = -0.61 and r = -0.60, respectively). |
Ghorabi et al (2014) (26)26 Ghorabi S, Vahdat Shariatpanahi Z, Amiri Z. Measurement of adductor pollicis muscle thickness in a healthy population in Iran and its correlation with other anthropometric parameters. Mal J Nutr[Internet]. 2014[cited 2017 Dec 12];20(2):237-43. Available from: https://www.researchgate.net/publication/270566213_Measurement_of_Adductor_Pollicis_Muscle_Thickness_in_a_Healthy_Population_in_Iran_and_Its_Correlation_with_other_Anthropometric_Parameters
https://www.researchgate.net/publication...
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APMT-DHb = 14.6 ± 3.2 mm. APMT-NDHb = 13.7 ± 3.2 mm. |
APMT-DH ,b = 11.2 ± 2.4 mm. APMT-NDH ,b = 10.2 ± 2.4 mm. |
NR |
* APMT-DH and APMT-NDH showed correlations with weight (r = 0.60 in both), BMI (r = 0.46 er = 0.45, respectively), BC (r = 0.51 and r = 0.52, respectively), BMC ( r = 0.46 in both), BMA (r = 0.47 in both) and bone complexion (r = 0.57 and r = 0.56 respectively). *The APMT was progressively increased according to bone complexion and presented association with age: the value of APMT increased progressively up to 65 years, followed by a significant reduction above that age. |
Pereira et al (2013) (27)27 Pereira RA, Caetano AL, Cuppari L, Kamimura MA. Adductor pollicis muscle thickness as a predictor of handgrip strength in hemodialysis patients. J Bras Nefrol[Internet]. 2013[cited 2017 Dec 12];35(3):177-84. Available from: http://www.scielo.br/pdf/jbn/v35n3/en_v35n3a03.pdf
http://www.scielo.br/pdf/jbn/v35n3/en_v3...
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APMT = 10.8 ± 4.9 mm. |
APMT = 9.0 ± 3.7 mm. |
APMT = 10.0 ± 4.5 mm. |
* The APMT showed correlations with age (r = -0.32), hand grip strength (r = 0.40), serum albumin (r = 0.27), cell mass (r = 0.40), reactance (r = 0.27) and phase angle (r = 0.38). * There were no correlations with GSA,, weight, BMI, BC, BMC, BMA, MM and serum creatinine. * In the linear regression analysis adjusted for sex, age and time on hemodialysis, APMT was a predictor of manual grip strength (r = 0.59). |
Cobero et al (2012)(28) |
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APMT-DH = 12,4 ± 5,1 mm. |
* The APMT showed correlations with current weight (r = 0.24), BMI (r = 0.20), TSF (r = 0.24), CB (r = 0.22) and CC (r = 0.26). |
Oliveira et al (2012)(18) |
APMT = 12.3 ± 1.5 mm. |
APMT
= 11.2 ± 1.5 mm. |
APMT = 11.9 ± 1.6 mm. |
* The APMT showed correlations with BMI (r = 0.37), BC (r = 0.44), BMC (r = 0.49), BMA (r = 0.45), percentage of cell mass (r = 29), phase angle (r = 0.40), resistance (r = -0.403), creatinine (r = 0.23) and albumin (r = 0.21). |
Bragagnolo et al (2009)(7) |
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APMT-DH = 12.6 ± 3.2 mm. APMT-NDH = 12.2 ± 2.9 mm. |
* APMT showed correlation with BMI, CB, TSF, and BMC (r values were not reported). * The APMT of the patients classified with GSA-A was higher than those with GSA-B and GSA-C. * In the APMT ROC curves for the identification of protein-energy malnutrition, the sensitivity was 72.4% for the APMT-DH (cu-toff point = 13.4 mm) and 77.3% for the APMT-NDH (cu-toff point = 13, 1 mm); the specificity was 100% for both. *The APMT classification in both hands presented associations with current weight, BMI, BC, TSF and BMC. |
Lameu et al (2004)(5) |
APMT-DH = 12.5 ± 2.9 mm. |
APMT-DH = 10.5 ± 2.3 mm. |
APMT-DH = 11.5 ± 2.8 mm. |
* The APMT showed correlations with BMI (r = 0.40), BMC (r = 0.42), BMS (r = 0.40), and CC (r = 0.36) but were not correlated with fat, such as TSF and BFA * APMT presented an association with age: APMT increased progressively to 46-65 years, followed by a significant reduction over 65 years.. |