The correlation between metabolic syndrome quantification scores and numerous laboratory parameters related to this syndrome

Abstract

Background/Aim. Metabolic syndrome (MS) is characterized by basic cluster risk factors-waist circumference (WC), glucoregulation disorders, hypertension, hypertriglyceridemia, low HDL-cholesterol followed by associated factors such as insulin resistance (IR), C-reactive protein (CRP), uric acid, plasminogen activator inhibitor-1 (PAI-1), fibrinogen, hyperhomocysteinemia (HHcy), nonalcoholic fatty liver disease (NAFLD) and microalbuminuira. The aim of this study was to analyze basic and associated factors of MS in patients with and without MS as well as correlation of siMS score, siMS risk score with basic and confounding factors of MS. Methods. The study included 148 overweight [body mass index (BMI) 25-30 kg/m 2 and obese patients (BMI > 30 kg/m 2)], age 30-75 years, classified into two groups: I-with MS (68 patients); II-without MS (80 patients). For quantification of MS, siMS score was used as a method, and siMS risk score was used as atherosclerotic complications risk indicator. Results. Patients with MS had statistically higher values of WC, hypertension, triglycerides (p < 0.001), glycemia (p = 0.006), as well as values of associated factors of MS [homeostatic model assessment (HOMA-IR)] (p = 0.002), CRP (p = 0.01), uric acid (p < 0.001), alanin transaminase (ALT) (p = 0.007) i gammaglutamyl transferase (GGT) (p = 0.001) and lower values of HDL-cholesterol (p < 0.001) compared to patients without MS. siMS score has shown correlation with associated factors of MS (log HOMA IR, logCRP, uric acid, (p < 0.001), fibrinogen (p = 0.005), liver enzymes logALT (p = 0.001) and log GGT (p < 0.001) and renal parametars (creatinine (p = 0.013) and serum protein (p = 0.006). siMS risk score correlated significantly with homocysteine, platelets, uric acid, blood urea nitrogen, albumins and proteins. Conclusion. In our study we found that patients with MS had higher values of associated factors of MS (HOMA-IR, CRP, uric acid, ALT, GGT), which was confirmed by correlation with siMS score. siMS score further indicated that IR, CRP, fibrinogen, uric acid and NAFLD are associated factors of MS. siMS risk score is another score that indicated that obesity and hyperprotein diet aggravates HHCy with age, increasing the risk for renal dysfunction and promoting atherosclerotic complications.

siMS score- method for quantification of metabolic syndrome, confirms co-founding factors of metabolic syndrome

“…The use of the siMS score can be useful both in diagnosis and as a useful tool for assessing the overall improvement or worsening of the disease in the prognostic monitoring of the patient, and some researchers point out that it can also be used as a biomarker for MS. Statistically significant correlation of siMS score with NAFLD parameters (ALT, GGT, FLI), uric acid, CRP, log CRP, in both groups and with PAI-1, microalbuminuria and homocysteine ​​in the elderly group proves that all these parameters are associated factors of MS. In agreement with the current results, our earlier research in obese patients with MS and without MS showed a positive correlation of the siMS score with CRP, uric acid, microalbuminuria, homocysteine, ​​and fibrinogen as associated factors of MS ( Sreckovic et al, 2020 ). In another study we found that patients with MS had higher values of co-founding factors of MS (HOMA-IR, CRP, uric acid, ALT, GGT), this is confirmed by correlation with siMS score.…”

Association between metabolic syndrome and uric acid: a systematic review and meta-analysis

“…Of the included papers, 26 directly associated UA with MetS 28 – 30 , 33 , 35 , 36 , 38 , 40 – 46 , 48 – 50 , 56 , 57 , 59 – 61 , 63 , 65 , 66 , 72 , and 17 reports collected data indirectly 27 , 31 , 32 , 34 , 37 , 39 , 47 , 51 – 53 , 57 , 58 , 64 , 68 – 70 , 74 , i.e. they study parameters related to MetS and collect data associated with UA.…”

Association between metabolic syndrome and uric acid: a systematic review and meta-analysis.

“…Of the included papers, 26 directly associated UA with MetS [28][29][30]33,35,36,38,[40][41][42][43][44][45][46][48][49][50]56,57,[59][60][61]63,65,66,72 , and 17 reports collected data indirectly 27,31,32,34,37,39,47,[51][52][53]57,58,64,[68][69][70]74 , i.e. they study parameters related to MetS and collect data associated with UA.…”