Low Blood ALT Activity and High FRAIL Questionnaire Scores Correlate with Increased Mortality and with Each Other. A Prospective Study in the Internal Medicine Department.
Low Blood ALT Activity and High FRAIL Questionnaire Scores Correlate with Increased Mortality and with Each Other. A Prospective Study in the Internal Medicine Department.
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DOI：
10.3390/jcm7110386
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发表时间：
2018-10-25
影响因子：
3.9
通讯作者：
Gad S
中科院分区：
文献类型：
--
作者：
Irina G;Refaela C;Adi B;Avia D;Liron H;Chen A;Gad S
Background: Low blood ALT, Alanine aminotransferase activity and high FRAIL (Fatigue, Resistance, Ambulation, Illnesses and Loss of Weight) questionnaire scores were previously shown to be associated with frailty and increased risk of mortality. We aimed to correlate these tools with mortality and each other in patients hospitalized in an internal medicine department. Methods: This is a prospective study in a large tertiary hospital. We assessed the predictive value for clinical outcomes of both low ALT blood activity and the pre-frail and frail categories of the “FRAIL” questionnaire. Results: During a 15 months study, 179 consecutive patients were recruited, of whom 20 died. When all study participants were divided to three groups according to admission ALT levels (below 10 IU/L, 11 to 19 IU/L and above 20 IU/L) we found a statistically significant difference in the rate of mortality: 4 patients died within the group of ALT < 10 IU/L, 14 patients died in the group of 10 IU/L < ALT < 19 IU/L and in the group of patients with ALT > 20 IU/L, only 2 patients died (p = 0.042). A higher score on the FRAIL questionnaire was associated, with statistical significance, with higher risk of mortality (p = 0.029). There was a significant correlation (p = 0.038) between blood ALT activity and the pre-frailty and frailty classifications by the FRAIL Questionnaire. Conclusions: Both the FRAIL questionnaire and blood ALT activity are simple and practical tools for frailty assessment and risk stratification of patients hospitalized in the internal medicine department. Both tool’s results also correlate with each other.
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影响因子：
1.2
作者：
Tarrant, Jacqueline;Meyer, Denny;Katavolos, Paula
通讯作者：
Katavolos, Paula
DOI：
10.1007/s12603-012-0084-2
发表时间：
2012-07
期刊：
The journal of nutrition, health & aging
影响因子：
--
作者：
Morley JE;Malmstrom TK;Miller DK
通讯作者：
Miller DK
影响因子：
--
作者：
Uchmanowicz, Izabella;Chudiak, Anna;Gobbens, Robbert
通讯作者：
Gobbens, Robbert
影响因子：
8.8
作者：
Abdel-Kader K;Girard TD;Brummel NE;Saunders CT;Blume JD;Clark AJ;Vincz AJ;Ely EW;Jackson JC;Bell SP;Archer KR;Ikizler TA;Pandharipande PP;Siew ED
通讯作者：
Siew ED
DOI：
10.1002/jcsm.12268
发表时间：
2018-04
期刊：
Journal of cachexia, sarcopenia and muscle
影响因子：
--
作者：
Buckinx F;Landi F;Cesari M;Fielding RA;Visser M;Engelke K;Maggi S;Dennison E;Al-Daghri NM;Allepaerts S;Bauer J;Bautmans I;Brandi ML;Bruyère O;Cederholm T;Cerreta F;Cherubini A;Cooper C;Cruz-Jentoft A;McCloskey E;Dawson-Hughes B;Kaufman JM;Laslop A;Petermans J;Reginster JY;Rizzoli R;Robinson S;Rolland Y;Rueda R;Vellas B;Kanis JA
通讯作者：
Kanis JA