siMS Score: Simple Method for Quantifying Metabolic Syndrome

Abstract

ObjectiveTo evaluate siMS score and siMS risk score, novel continuous metabolic syndrome scores as methods for quantification of metabolic status and risk.Materials and MethodsDeveloped siMS score was calculated using formula: siMS score = 2*Waist/Height + Gly/5.6 + Tg/1.7 + TAsystolic/130—HDL/1.02 or 1.28 (for male or female subjects, respectively). siMS risk score was calculated using formula: siMS risk score = siMS score * age/45 or 50 (for male or female subjects, respectively) * family history of cardio/cerebro-vascular events (event = 1.2, no event = 1). A sample of 528 obese and non-obese participants was used to validate siMS score and siMS risk score. Scores calculated as sum of z-scores (each component of metabolic syndrome regressed with age and gender) and sum of scores derived from principal component analysis (PCA) were used for evaluation of siMS score. Variants were made by replacing glucose with HOMA in calculations. Framingham score was used for evaluation of siMS risk score.ResultsCorrelation between siMS score with sum of z-scores and weighted sum of factors of PCA was high (r = 0.866 and r = 0.822, respectively). Correlation between siMS risk score and log transformed Framingham score was medium to high for age groups 18+,30+ and 35+ (0.835, 0.707 and 0.667, respectively).ConclusionssiMS score and siMS risk score showed high correlation with more complex scores. Demonstrated accuracy together with superior simplicity and the ability to evaluate and follow-up individual patients makes siMS and siMS risk scores very convenient for use in clinical practice and research as well.

Risk models and scores for metabolic syndrome: a systematic review

“…Consequently, a formal meta-analysis was precluded due to the heterogeneity of data particularly regarding the diverse demographics of the studied participants and different components of the scores. Surprisingly, the observed incidence/prevalence of MetS at the end of the study is not reported in nearly a third (twenty-nine per cent) of the studies [24,28,31,37,41,42]. For those that reported it, the prevalence/ incidence of MetS ranged from as little as one per cent to as high as thirty-seven per cent (median is thirteen per cent).…”

“…Of these 24 papers, 22 report about the development of one or more risk model or score [24][25][26][27][28][29][30][31][32][33][34][35]37,38,[40][41][42][43][44][45][46][47], and 2 studies report about the development and external validation of one or more risk model or scores on an external population [36,39].Overall, the 24 studies reported 40 models, out of which 24 models were selected for full data extraction. The rest (16 models) were not selected, either because they were judged to be minimally different from the reported ones or they were not the preferred models by the authors or they were significantly deficient in details or statistical reporting.…”

“…Regarding the age of the sample, more risk scores were reported in adults than in children or adolescent. Of the 24 included models, 15 risk models were focused on adult subjects [24,25,29,[31][32][33][34][35][36][37][38][41][42][43][44]47], while 8 targets children and adolescents [26][27][28]30,39,40,45,46]. Table 4.0 shows the details of the components of the included 24 risk models or scores as well as their statistical properties-which includes (where available) their "sensitivity, specificity, discrimination, calibration, positive and negative predictive values, AUROC".…”

Duración subóptima del sueño y fenotipo circadiano en mujeres adultas residentes de Valencia, Venezuela atendidas en jornadas de salud. Perfil cardiometabólico asociado

“…2. siMS score y siMS risk score (por sus siglas originales en inglés), el primero de ellos fue propuesto para la evaluación del estatus del SM y el segundo para evaluar el riesgo de enfermedades coronarias o eventos cerebrovasculares. siMS score se calcula a partir del índice CC/T, glicemia, TGL, presión arterial sistólica y HDLc, considerando los puntos de corte empleados para definición de SM en el caso de las cuatro últimas variables nombradas (24) , siMS risk score incorpora la edad y el antecedente familiar de evento cardio o cerebrovascular a los mismos elementos de siMS score (24) . Estos scores se obtuvieron con ayuda de la hoja de cálculo suministrada por Soldatovic et al (24) , y se introdujeron los puntos de corte de la definición de SM que se aplicó en la presente investigación.…”

“…siMS score se calcula a partir del índice CC/T, glicemia, TGL, presión arterial sistólica y HDLc, considerando los puntos de corte empleados para definición de SM en el caso de las cuatro últimas variables nombradas (24) , siMS risk score incorpora la edad y el antecedente familiar de evento cardio o cerebrovascular a los mismos elementos de siMS score (24) . Estos scores se obtuvieron con ayuda de la hoja de cálculo suministrada por Soldatovic et al (24) , y se introdujeron los puntos de corte de la definición de SM que se aplicó en la presente investigación. Ya que por el momento no existen puntos de corte para los puntajes descritos, se calculó el percentil 85 de cada uno.…”