Abstract
Background: Metabolic syndrome (MS) is associated with late-onset diabetes. However, diagnostic criteria for individual components of MS are based on categorical/arbitrary cut points and, therefore, do not exploit the information yield of each factor. We aimed to generate a diagnostic score for MS (MS-Score), aimed at predicting diabetes by giving appropriate weight to the individual components of MS. Methods: Of 11 323 patients with prior myocardial infarction and followed up for 3.5 years in the GISSI-Prevenzione study, 3855 subjects with diabetes at baseline or missing information for relevant variables were excluded. A Cox proportional hazards model including age, sex, glycemia, high-density lipoprotein cholesterol, triglycerides, hypertension, and body mass index was fitted to create a diagnostic score. A cutoff point of 28 of the score was the best compromise between sensitivity and specificity for MS diagnosis (MS-Score). The prognostic performance of the MS-Score was compared with that of the diagnostic criteria of MS, as defined by National Cholesterol Education Program Adult Treatment Panel III (MS-ATP). Results: Of 7468 patients, 940 developed diabetes. The risk of getting diabetes significantly and progressively increased in the quintiles of the score reaching >6-fold higher risk in the last one. The predictive capability of MS-Score was significantly higher than that of the MS-ATP (AUC = 0.650 vs 0.587, sensitivity 67% vs 52%, specificity 63% vs 66%, P = .0002). The MS-Score, but not the MS-ATP, was significantly associated with mortality. Conclusion: MS-Score improves the prediction of diabetes development by using the full informative content of individual components for diagnosis of MS.
| Original language | English |
|---|---|
| Journal | American Heart Journal |
| Volume | 151 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Mar 2006 |
Fingerprint
ASJC Scopus subject areas
- Cardiology and Cardiovascular Medicine
Cite this
A clinically practicable diagnostic score for metabolic syndrome improves its predictivity of diabetes mellitus : The Gruppo Italiano per lo Studio della Sopravvivenza nell'Infarto miocardico (GISSI)-Prevenzione scoring. / Macchia, Alejandro; Levantesi, Giacomo; Borrelli, Giovanna; Franzosi, Maria Grazia; Maggioni, Aldo Pietro; Marfisi, Rosamaria; Scarano, Marco; Tavazzi, Luigi; Tognoni, Gianni; Valagussa, Franco; Marchioli, Roberto.
In: American Heart Journal, Vol. 151, No. 3, 03.2006.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A clinically practicable diagnostic score for metabolic syndrome improves its predictivity of diabetes mellitus
T2 - The Gruppo Italiano per lo Studio della Sopravvivenza nell'Infarto miocardico (GISSI)-Prevenzione scoring
AU - Macchia, Alejandro
AU - Levantesi, Giacomo
AU - Borrelli, Giovanna
AU - Franzosi, Maria Grazia
AU - Maggioni, Aldo Pietro
AU - Marfisi, Rosamaria
AU - Scarano, Marco
AU - Tavazzi, Luigi
AU - Tognoni, Gianni
AU - Valagussa, Franco
AU - Marchioli, Roberto
PY - 2006/3
Y1 - 2006/3
N2 - Background: Metabolic syndrome (MS) is associated with late-onset diabetes. However, diagnostic criteria for individual components of MS are based on categorical/arbitrary cut points and, therefore, do not exploit the information yield of each factor. We aimed to generate a diagnostic score for MS (MS-Score), aimed at predicting diabetes by giving appropriate weight to the individual components of MS. Methods: Of 11 323 patients with prior myocardial infarction and followed up for 3.5 years in the GISSI-Prevenzione study, 3855 subjects with diabetes at baseline or missing information for relevant variables were excluded. A Cox proportional hazards model including age, sex, glycemia, high-density lipoprotein cholesterol, triglycerides, hypertension, and body mass index was fitted to create a diagnostic score. A cutoff point of 28 of the score was the best compromise between sensitivity and specificity for MS diagnosis (MS-Score). The prognostic performance of the MS-Score was compared with that of the diagnostic criteria of MS, as defined by National Cholesterol Education Program Adult Treatment Panel III (MS-ATP). Results: Of 7468 patients, 940 developed diabetes. The risk of getting diabetes significantly and progressively increased in the quintiles of the score reaching >6-fold higher risk in the last one. The predictive capability of MS-Score was significantly higher than that of the MS-ATP (AUC = 0.650 vs 0.587, sensitivity 67% vs 52%, specificity 63% vs 66%, P = .0002). The MS-Score, but not the MS-ATP, was significantly associated with mortality. Conclusion: MS-Score improves the prediction of diabetes development by using the full informative content of individual components for diagnosis of MS.
AB - Background: Metabolic syndrome (MS) is associated with late-onset diabetes. However, diagnostic criteria for individual components of MS are based on categorical/arbitrary cut points and, therefore, do not exploit the information yield of each factor. We aimed to generate a diagnostic score for MS (MS-Score), aimed at predicting diabetes by giving appropriate weight to the individual components of MS. Methods: Of 11 323 patients with prior myocardial infarction and followed up for 3.5 years in the GISSI-Prevenzione study, 3855 subjects with diabetes at baseline or missing information for relevant variables were excluded. A Cox proportional hazards model including age, sex, glycemia, high-density lipoprotein cholesterol, triglycerides, hypertension, and body mass index was fitted to create a diagnostic score. A cutoff point of 28 of the score was the best compromise between sensitivity and specificity for MS diagnosis (MS-Score). The prognostic performance of the MS-Score was compared with that of the diagnostic criteria of MS, as defined by National Cholesterol Education Program Adult Treatment Panel III (MS-ATP). Results: Of 7468 patients, 940 developed diabetes. The risk of getting diabetes significantly and progressively increased in the quintiles of the score reaching >6-fold higher risk in the last one. The predictive capability of MS-Score was significantly higher than that of the MS-ATP (AUC = 0.650 vs 0.587, sensitivity 67% vs 52%, specificity 63% vs 66%, P = .0002). The MS-Score, but not the MS-ATP, was significantly associated with mortality. Conclusion: MS-Score improves the prediction of diabetes development by using the full informative content of individual components for diagnosis of MS.
UR - http://www.scopus.com/inward/record.url?scp=33344471514&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33344471514&partnerID=8YFLogxK
U2 - 10.1016/j.ahj.2005.10.023
DO - 10.1016/j.ahj.2005.10.023
M3 - Article
C2 - 16504647
AN - SCOPUS:33344471514
VL - 151
JO - American Heart Journal
JF - American Heart Journal
SN - 0002-8703
IS - 3
ER -