Validating the UK prospective diabetes study outcome model 2 using data of 94,946 Israeli patients with type 2 diabetes.
J Diabetes Complications
; 36(1): 108086, 2022 01.
Article
in En
| MEDLINE
| ID: mdl-34799250
AIMS: To externally validate the United Kingdom Prospective Diabetes Study (UKPDS) Outcome Model 2 (OM2) in contemporary Israeli patient populations. METHODS: De-identified patient data on demographics, time-varying risk factors, and clinical events of newly diagnosed type 2 diabetes patients were extracted from the Maccabi Healthcare Services (MHS) diabetes registry over years 2000-2013. Depending on the baseline risk, patients were categorized into low-risk and intermediate-risk groups. In addition to assessing discriminatory performance, the predicted and observed 15-year cumulative incidences of diabetes complications and death were compared among all patients and for the two risk-groups. RESULTS: The discriminatory capability of OM2 was moderate to good, C-statistic ranging 0.71-0.95. The model overpredicted the risk for MI, blindness and death (Predicted/Observed events (P/O: 1.32-2.31)), and underpredicted the risk of IHD (P/O: 0.5). In patients with a low baseline risk, overpredictions were even more pronounced. OM2 performed well in predicting renal failure and ulcer risk in patients with a low risk but predicted well the risk of death, stroke, CHF, and amputation in patients with an intermediate risk. CONCLUSION: OM2 demonstrated good to moderate discrimination capability for predicting diabetes complications and mortality risks in Israeli diabetes population. The prediction performance differed between patients with different baseline risks.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Diabetes Complications
/
Diabetes Mellitus, Type 2
Type of study:
Etiology_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Humans
Country/Region as subject:
Europa
Language:
En
Journal:
J Diabetes Complications
Journal subject:
ENDOCRINOLOGIA
Year:
2022
Document type:
Article
Affiliation country:
United States
Country of publication:
United States