There is at present the dearth of information on the possible  contribution of insulin resistance to scores obtained from mortality risk estimation in patients with type 2 diabetes mellitus (T2DM).  Aim: This study determined
the mortality risk scores in patients with T2DM and its relationship with insulin
resistance.  Methods: Fasting plasma glucose, total cholesterol, high?density
lipoprotein cholesterol (HDL), triglycerides, serum and urinary creatinine, glycated
hemoglobin (HbA1c), serum insulin, and urinary albumin were determined in 111
T2DM patients. Thereafter, low ?density lipoprotein cholesterol (LDL), quantitative
insulin      sensitivity     check     index     (QUICKI),      urinary      albumin?to ?creatinine      ratio     
(UACR),      and     estimated      glomerular     filtration     rate      (eGFR)     were      calculated     using    
the standard formula. Mortality risk was estimated using the validated Gargano
mortality     risk      calculator      with      scores      ?0.67,     0.68–0.79,     and     ?0.80     considered     as      low,     
intermediate, and high risks, respectively.  Results: Of the total patients, 5 (4.5%),
28 (25.2%), and 78 (70.3%) patients had high, intermediate, and low mortality
risk, respectively. There was no difference in the median QUICKI values when
the     three      groups      were      compared.     However,      there      was     a     significant     elevation      in      the    
median eGFR in patients with high mortality risk compared with patients with low
and intermediate mortality risks. Also, the median mortality risk score of patients
with      low      insulin      sensitivity     (QUICKI      ?0.3)     was     similar      to      that      obtained     in      patients    
with      normal      insulin      sensitivity     (QUICKI      ?0.31).      No     significant     correlation     was    
found between QUICKI and mortality risk scores.  Conclusion: Insulin sensitivity
status does not have a direct effect on scores obtained from the Gargano mortality
risk prediction model.