TY - JOUR
T1 - Leptin cut-off values for determination of metabolic syndrome
T2 - Third national surveillance of risk factors of non-communicable diseases in Iran (SuRFNCD-2007)
AU - Esteghamati, Alireza
AU - Zandieh, Ali
AU - Zandieh, Basira
AU - Khalilzadeh, Omid
AU - Meysamie, Alipasha
AU - Nakhjavani, Manouchehr
AU - Gouya, Mohammad Mehdi
PY - 2011/8
Y1 - 2011/8
N2 - Leptin is strongly contributed to the clustering of metabolic syndrome (MetS) components and potentially can be regarded as a single predictor of MetS. This populationbased study, for the first time, reports the diagnostic accuracy of different leptin cut-points for determining MetS. Further, the current study compares the predictive ability of the appropriate threshold of leptin with insulin resistance. Data of the individuals without history of known diabetes mellitus, aged 25-64 years, from the third national surveillance of risk factors of non-communicable diseases (SuRFNCD- 2007) were analyzed. MetS was defined due to either adult treatment panel III (ATPIII) or the modified international diabetes federation (IDF) criteria. Receiver-operating characteristic (ROC) curves were depicted to define cut-off of serum leptin, using the maximum Youden index and the shortest distance methods. Further, the values of leptin cutoffs in prediction of MetS were compared with those of insulin resistance (defined as homeostasis model assessment of insulin resistance>1.775). In men, the optimal cut-offs of leptin for IDF- and ATPIII-defined MetS were 3.6 ng/ml (positive predictive value, PPV: 56.5%; negative predictive value, NPV: 72.7%) and 4.1 ng/ml (PPV: 49.6%; NPV: 78.1%), respectively. In women, the optimal threshold was equal to 11.0 ng/ml (PPV: 53.8%; NPV: 73.0% for IDF criteria and PPV: 60.1%; NPV: 64.9% for ATPIII criteria). The diagnostic accuracy of these values in identifying MetS was similar to that of insulin resistance. Therefore, leptin is comparable to insulin resistance in identifying MetS and can be used as single predictor of MetS.
AB - Leptin is strongly contributed to the clustering of metabolic syndrome (MetS) components and potentially can be regarded as a single predictor of MetS. This populationbased study, for the first time, reports the diagnostic accuracy of different leptin cut-points for determining MetS. Further, the current study compares the predictive ability of the appropriate threshold of leptin with insulin resistance. Data of the individuals without history of known diabetes mellitus, aged 25-64 years, from the third national surveillance of risk factors of non-communicable diseases (SuRFNCD- 2007) were analyzed. MetS was defined due to either adult treatment panel III (ATPIII) or the modified international diabetes federation (IDF) criteria. Receiver-operating characteristic (ROC) curves were depicted to define cut-off of serum leptin, using the maximum Youden index and the shortest distance methods. Further, the values of leptin cutoffs in prediction of MetS were compared with those of insulin resistance (defined as homeostasis model assessment of insulin resistance>1.775). In men, the optimal cut-offs of leptin for IDF- and ATPIII-defined MetS were 3.6 ng/ml (positive predictive value, PPV: 56.5%; negative predictive value, NPV: 72.7%) and 4.1 ng/ml (PPV: 49.6%; NPV: 78.1%), respectively. In women, the optimal threshold was equal to 11.0 ng/ml (PPV: 53.8%; NPV: 73.0% for IDF criteria and PPV: 60.1%; NPV: 64.9% for ATPIII criteria). The diagnostic accuracy of these values in identifying MetS was similar to that of insulin resistance. Therefore, leptin is comparable to insulin resistance in identifying MetS and can be used as single predictor of MetS.
KW - Insulin resistance
KW - Leptin
KW - Metabolic syndrome
KW - Receiver operating characteristic curve
UR - http://www.scopus.com/inward/record.url?scp=80755175869&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80755175869&partnerID=8YFLogxK
U2 - 10.1007/s12020-011-9447-4
DO - 10.1007/s12020-011-9447-4
M3 - Article
C2 - 21384232
AN - SCOPUS:80755175869
SN - 1355-008X
VL - 40
SP - 117
EP - 123
JO - Endocrine
JF - Endocrine
IS - 1
ER -