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Response: Predicting Mortality of Critically Ill Patients by Blood Glucose Levels (Diabetes Metab J 2013;37:385-90)
Byung Sam Park, Ji Sung Yoon
Diabetes Metab J. 2014;38(1):81-82.   Published online February 19, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.1.81
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Original Articles
Relative Skeletal Muscle Mass Is Associated with Development of Metabolic Syndrome
Byung Sam Park, Ji Sung Yoon
Diabetes Metab J. 2013;37(6):458-464.   Published online December 12, 2013
DOI: https://doi.org/10.4093/dmj.2013.37.6.458
  • 5,783 View
  • 105 Download
  • 73 Crossref
AbstractAbstract PDFPubReader   
Background

Visceral adiposity is related to insulin resistance. Skeletal muscle plays a central role in insulin-mediated glucose disposal; however, little is known about the association between muscle mass and metabolic syndrome (MS). This study is to clarify the clinical role of skeletal muscle mass in development of MS.

Methods

A total of 1,042 subjects were enrolled. Subjects with prior MS and chronic diseases were excluded. After 24 months, development of MS was assessed using NCEP-ATP III criteria. Skeletal muscle mass (SMM; kg), body fat mass (BFM; kg), and visceral fat area (VFA; cm2) were obtained from bioelectrical analysis. Then, the following values were calculated as follows: percent of SMM (SMM%; %): SMM (kg)/weight (kg), skeletal muscle index (SMI; kg/m2): SMM (kg)/height (m2), skeletal muscle to body fat ratio (MFR): SMM (kg)/BFM (kg), and skeletal muscle to visceral fat ratio (SVR; kg/cm2): SMM (kg)/VFA (cm2).

Results

Among 838 subjects, 88 (10.5%) were newly diagnosed with MS. Development of MS increased according to increasing quintiles of BMI, SMM, VFA, and SMI, but was negatively associated with SMM%, MFR, and SVR. VFA was positively associated with high waist circumference (WC), high blood pressure (BP), dysglycemia, and high triglyceride (TG). In contrast, MFR was negatively associated with high WC, high BP, dysglycemia, and high TG. SVR was negatively associated with all components of MS.

Conclusion

Relative SMM ratio to body composition, rather than absolute mass, may play a critical role in development of MS and could be used as a strong predictor.

Citations

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Predicting Mortality of Critically Ill Patients by Blood Glucose Levels
Byung Sam Park, Ji Sung Yoon, Jun Sung Moon, Kyu Chang Won, Hyoung Woo Lee
Diabetes Metab J. 2013;37(5):385-390.   Published online October 17, 2013
DOI: https://doi.org/10.4093/dmj.2013.37.5.385
  • 3,529 View
  • 34 Download
  • 10 Crossref
AbstractAbstract PDFPubReader   
Background

The aim of this study is to observe the outcome of critically ill patients in relation to blood glucose level at admission and to determine the optimal range of blood glucose at admission predicting lower hospital mortality among critically ill patients.

Methods

We conducted a retrospective cohort study of a total 1,224 subjects (males, 798; females, 426) admitted to intensive care unit (ICU) from 1 January 2009 to 31 December 2010. Blood glucose levels at admission were categorized into four groups (group 1, <100 mg/dL; group 2, 100 to 199 mg/dL; group 3, 200 to 299 mg/dL; and group 4, ≥300 mg/dL).

Results

Among 1,224 patients, 319 patients were already known diabetics, and 296 patients died in ICU. Five hundred fifty-seven subjects received insulin therapy, and 118 received oral hypoglycemic agents. The overall mortality rate was 24.2% (296 patients). The causes of death and mortality rates of diabetic patients were not different from nondiabetic subjects. The mortality curve showed J shape, and there were significant differences in mortality between the groups of blood glucose levels at admission. Group 2 had the lowest mortality rate (P<0.05).

Conclusion

These results suggest that serum glucose levels upon admission into ICU is associated with clinical outcomes in ICU patients. Blood glucose level between 100 and 199 mg/dL at the time of ICU admission could predict lower hospital mortality among critically ill patients.

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Diabetes Metab J : Diabetes & Metabolism Journal