Use of Continuous Metabolic Syndrome Score in Overweight and Obese Children

Metabolic syndrome and risk factors in children: a risk score proposal

INTRODUCTION/OBJECTIVE

The lack of international consensus on the definition of Metabolic Syndrome (MS) in the pediatric population makes it difficult to estimate its prevalence. In this study, we intend to identify MS prevalence and a cutoff point based on a continuous score in children aged four to seven years.

METHODS

A cross-sectional study of 402 children (4-7 years) monitored by the Lactation Support Program (PROLAC). A continuous MS risk score was assessed using Principal Component Analysis (PCA). In order to calculate the score, the following MS risk factors were considered: Waist circumference (WC), High Density Lipoprotein (HDL), Triglycerides (TG), Blood Pressure (BP) and Blood sugar. Using a Receiver Operating Characteristics (ROC) curve, the cutoff point for predicting MS risk based on continuous score was evaluated.

RESULTS

A progressive increase in MS scores was observed according to increase in the number of risk factors. This increase was also observed when comparing boys and girls (p < 0.001). In the absence of MS, the median score among the children was -0.0486 (-0.2929-0.2151). For children with MS, the median score was 0.5237 (0.2286-0.7104) (p < 0.001). The best cutoff score for predicting MS in children aged four to five years was >0.09 (100% sensitivity and specificity 72.67%). For children aged six to seven years, this value was >0.14 (100% sensitivity and 64.65% specificity).

CONCLUSION

The calculated continuous risk score can predict MS with good accuracy and high sensitivity and reasonable specificity.

cMetS Based on Z-Scores as an Accurate and Efficient Scoring System to Determine Metabolic Syndrome in Spanish Adolescents

The definition of metabolic syndrome (MetS) based on dichotomous cut-off points is efficient in the adult population. However, to date, there is no international consensus on how to define MetS in the pediatric population. For that reason, a continuous MetS score (cMetS) has been proposed for the pediatric population. However, despite multiple attempts, cMetS has not been fully validated as there is no agreement about the most accurate score to calculate it. The purpose of the present study was to compare the validity of different scores (three siMS scores, z-score, principal components analysis (PCA), the sum of PCA, and confirmatory factor analysis) to calculate cMetS and determine MetS in Spanish adolescents. There were 981 subjects, ranging 11-16 years old, recruited for this cross-sectional study. Seven different approaches to pediatric cMetS scores were calculated. All cMetS scores calculated strongly correlated with each other, especially siMS scores. The area under the curve obtained from receiving operating characteristic curves was particularly elevated for z-scores 0.81 (95% CI: 0.784-0.838), showing a specificity of 64.4%. Our study shows that cMetS based on z-scores is accurate and efficient to be used for research instead of the dichotomized definition of MetS in adolescents; and cMetS based on siMS scores is useful for clinical practice.

Validity of continuous metabolic syndrome score for predicting metabolic syndrome; a systematic review and meta-analysis

BACKGROUND

Nowadays, use of continuous metabolic syndrome (cMetS) score has been suggested to improve recognition of metabolic syndrome (MetS). The aim of this study was to evaluate the validity of cMetS scores for predicting MetS.

METHODS

We searched the electronic databases included MEDLINE/PubMed, Embase, ISI Web of Science, and Scopus from 1 January 1980 to 30 September 2020. Observational studies on participants with different cMetS scores were included in this meta-analysis. The sensitivity, specificity, positive likelihood ratio (LR+), negative likelihood ratio (LR) and diagnostic odds ratio (DOR) with 95% CI were calculated.

RESULTS

Ten studies involving a total of 25,073 participants were included. All studies had cross-sectional design. The pooled sensitivity and specificity of cMetS scores for predicting MetS were 0.90 (95% CI: 0.83 to 0.95) and 0.86 (95% CI: 0.83 to 0.89), respectively. Moreover, cMetS scores had the pooled LR+ of 6.5 (95% CI: 5.0 to 8.6), and a pooled (LR-) of 0.11 (95% CI: 0.063 to 0.21). The pooled DOR of cMetS scores to predict MetS were 57 (95% CI: 26 to 127).

CONCLUSIONS

The high sensitivity and specificity of cMetS scores indicates that it has a high accuracy to predict the risk of MetS. Furthermore, the cMetS scores has a good ability to rule out healthy people.

STUDY REGISTRATION

This study was registered as PROSPERO CRD42020157273.

A considerable proportion of metabolic syndrome-free adults from Bratislava Region, Slovakia, display an increased cardiometabolic burden

Although the dichotomous classification of metabolic syndrome (MS) enables the classification of individuals as MS-free or presenting MS, it is inconvenient for assessing cardiometabolic risk in MS-free individuals. Continuous MS score allows for estimation of cardiometabolic burden even in MS-free subjects. We used the scores to estimate the proportion of MS-free subjects on high cardiometabolic risk. A total of 876 subjects (62% females) of Central European descent, aged 20-81 years, were included. International Diabetes Federation (IDF) criteria were employed to classify MS. Continuous scores were calculated. We used the receiver operating characteristics (ROC) analysis to estimate the cutoff value to determine the proportion of MS-free subjects on increased risk. Using the waist circumference, 38% of males and 23% of females presented MS. ROC area under the curves (90%-98%) showed an acceptable performance of both scores to classify the presence of MS. Up to 18% of MS-free males and up to 10% of females displayed continuous score ≥ the relevant cutoff point. The waist-to-height ratio performed similar results. Both continuous scores were proven credible for assessing cardiometabolic risk in MS-free subjects. Clinically, this is important for earlier intervention. Despite minor differences between waist circumference and waist-to-height ratio, it would be appropriate to objectify it using reference population. Novelty: The first study using Z-MSS/siMSS (population-specific Z-score/continuous score of MS) to estimate cardiometabolic risk in Slovak adults. A proportion of MS-free Slovak adults is on high cardiometabolic risk. Difference between using waist circumference and the waist-to-height ratio does not seem to be major in our cohort.