Progressive arm muscle weakness in ALS follows the same sequence regardless of onset site: use of TOMS, a novel analytic method to track limb strength.
Progressive arm muscle weakness in ALS follows the same sequence regardless of onset site: use of TOMS, a novel analytic method to track limb strength.
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DOI:
10.1080/21678421.2021.1889000
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发表时间:
2021-08
影响因子:
2.8
通讯作者:
Pioro EP
中科院分区:
文献类型:
--
作者:
Thakore NJ;Drawert BJ;Lapin BR;Pioro EP
Examine sequence of weakness in arm muscles from longitudinal hand-held dynamometry (HHD) data in ALS for congruence with contiguous spread of neurodegeneration along spinal cord segments. Longitudinal HHD data from the Ceftriaxone clinical trial were examined using nonlinear mixed models, assuming a logistic trajectory from normal to zero strength. Unobserved baseline normal strength of weak muscles was assumed using strength of the best-preserved muscle. A novel metric called “time from onset to midway strength” (TOMS) was estimated for each muscle group, and TOMS ratios were examined to identify sequence of weakness, overall and by onset site. Shoulder flexion (SF), elbow flexion (EF), elbow extension (EE), wrist extension (WE), and first dorsal interosseous (FDI) were measured on each side. Over a median of 36 weeks, 513 subjects provided 2589 sets of HHD measures. TOMS increased sequentially in the following order: FDI, WE, SF, EF, and EE. TOMS ratios estimates with 95% CIs (adjusted for multiple comparisons) were: WE/FDI 1.32 (1.24–1.41), SF/WE 1.06 (1.01–1.10), EF/SF 1.06 (1.02–1.10), and EE/EF 1.18 (1.12–1.23). Elbow and shoulder flexors weakened sooner than did elbow extensors. The sequence of arm muscle weakness progression was similar regardless of onset site. Nonsegmental progression of arm muscle weakness that is similar for different onset sites favors cortical influence/network spread over contiguous spread of neurodegeneration in the spinal cord. Furthermore, this study confirms the “split elbow” pattern. TOMS and other proposed methods may have value as outcome measures in clinical research.
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DOI:
10.1080/21678421.2017.1386688
发表时间:
2018-01-01
影响因子:
2.8
作者:
Walhout, Renee;Verstraete, Esther;Van Den Berg, Leonard H.
通讯作者:
Van Den Berg, Leonard H.
影响因子:
9.9
作者:
Rushton DJ;Andres PL;Allred P;Baloh RH;Svendsen CN
通讯作者:
Svendsen CN
影响因子:
3.4
作者:
Bohannon, Richard W.;Magasi, Susan R.;Bubela, Deborah J.;Wang, Ying-Chih;Gershon, Richard C.
通讯作者:
Gershon, Richard C.
影响因子:
9.9
作者:
Shefner, Jeremy M.;Liu, Dawei;Cudkowicz, Merit
通讯作者:
Cudkowicz, Merit
影响因子:
11
作者:
HANSEN, S;BALLANTYNE, JP
通讯作者:
BALLANTYNE, JP