PMID- 36843587
OWN - NLM
STAT- MEDLINE
DCOM- 20230228
LR  - 20230228
IS  - 1664-2392 (Print)
IS  - 1664-2392 (Electronic)
IS  - 1664-2392 (Linking)
VI  - 14
DP  - 2023
TI  - Alternative skeletal muscle index for sarcopenia diagnosis in elderly patients 
      with type 2 diabetes mellitus: A pilot study.
PG  - 1083722
LID - 10.3389/fendo.2023.1083722 [doi]
LID - 1083722
AB  - PURPOSE: To determine an alternative skeletal muscle index (a-SMI), easy 
      diagnosis of sarcopenia in elderly patients with type 2 diabetes mellitus (T2DM). 
      PATIENTS AND METHODS: This cross-sectional study included 223 inpatients with 
      T2DM (100 males, age range 60-89; 123 females, age range 60-87). Screening for 
      grip strength and gait speed, measuring SMI by dual-energy X-ray absorptiometry 
      (d-SMI) for sarcopenia diagnosis, according to the Asian Working Group for 
      Sarcopenia (AWGS) 2019 consensus. The a-SMI was established by binary logistic 
      regression analysis with positive screening population. To assess the conformance 
      of the new diagnostic approach with the AWGS 2019. RESULTS: Sarcopenia was 
      present in 36.3% of the study population. 59 had normal d-SMI and 81 had low 
      d-SMI in screening patients with probable sarcopenia. In univariate analyses for 
      all positive screening population, body mass index (BMI), 25-hydroxyvitamin D (25 
      - (OH) VitD), high density lipoprotein cholesterol (HDL-C), hypertension (HTN), 
      and gender were correlates of d-SMI. Binary logistic regression analysis revealed 
      that male (B = 2.463, 95%CI: 3.640 ~ 37.883, p = 0.000), HTN (B = 1.404, 95%CI: 
      1.599 ~ 10.371, p = 0.003), BMI (B = -0.344, 95%CI: 0.598 ~ 0.839, p = 0.000), 
      25-(OH) VitD (B = -0.058, 95%CI: 0.907 ~ 0.982, p = 0.004) were independent 
      factors for d-SMI detection. Based on the extracted four correlates, the a-SMI 
      was determined. The area under receiver operating characteristic (ROC) curve was 
      0.842, sensitivity and specificity for the new diagnostic approach were 84.0% and 
      84.5%. In a statistical measure of agreement between the AWGS 2019 and the new 
      diagnostic approach, the kappa coefficient was 0.669 (p < 0.001). CONCLUSION: The 
      a-SMI - based on gender, obesity status, 25-(OH) VitD, and HTN history - can be 
      used in the absence of the d-SMI to supplement the algorithm for sarcopenia 
      diagnosis in elderly patients with T2DM.
CI  - Copyright (c) 2023 Lu, Liu and Yin.
FAU - Lu, Lanyu
AU  - Lu L
AD  - Department of Endocrinology and Metabolic Diseases, Hebei Medical University, 
      Shijiazhuang, Hebei, China.
FAU - Liu, Bowei
AU  - Liu B
AD  - Department of Endocrinology, The First Hospital of Qinhuangdao, Qinhuangdao, 
      Hebei, China.
FAU - Yin, Fuzai
AU  - Yin F
AD  - Department of Endocrinology, The First Hospital of Qinhuangdao, Qinhuangdao, 
      Hebei, China.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20230209
PL  - Switzerland
TA  - Front Endocrinol (Lausanne)
JT  - Frontiers in endocrinology
JID - 101555782
SB  - IM
MH  - Female
MH  - Humans
MH  - Male
MH  - Aged
MH  - Middle Aged
MH  - Aged, 80 and over
MH  - *Sarcopenia/diagnosis/etiology/epidemiology
MH  - Pilot Projects
MH  - *Diabetes Mellitus, Type 2/complications
MH  - Cross-Sectional Studies
MH  - Muscle, Skeletal/physiology
PMC - PMC9947145
OTO - NOTNLM
OT  - SMI
OT  - T2DM
OT  - diagnosis
OT  - elderly
OT  - sarcopenia
COIS- The authors declare that the research was conducted in the absence of any 
      commercial or financial relationships that could be construed as a potential 
      conflict of interest.
EDAT- 2023/02/28 06:00
MHDA- 2023/03/03 06:00
PMCR- 2023/01/01
CRDT- 2023/02/27 03:47
PHST- 2022/10/29 00:00 [received]
PHST- 2023/01/27 00:00 [accepted]
PHST- 2023/02/27 03:47 [entrez]
PHST- 2023/02/28 06:00 [pubmed]
PHST- 2023/03/03 06:00 [medline]
PHST- 2023/01/01 00:00 [pmc-release]
AID - 10.3389/fendo.2023.1083722 [doi]
PST - epublish
SO  - Front Endocrinol (Lausanne). 2023 Feb 9;14:1083722. doi: 
      10.3389/fendo.2023.1083722. eCollection 2023.