[Development and validation of a screening score for prediabetes and undiagnosed diabetes.]

Diagnostic performance of questionnaires to identify individuals with impaired fasting glucose in Mexican adult population

AIMS

To evaluate the diagnostic performance of five questionnaires to identify impaired fasting glucose (IFG) in Mexican adult population.

METHODS

The study included 23,311 subjects from five cohorts, three composed of individuals who sought medical advice in their first level clinics or participated in research studies and two representative surveys of the Mexican population. The reference standard was IFG which was defined as a fasting glucose ≥ 100 mg/dL. Diagnostic performance was evaluated with specificity, sensitivity, positive and negative predictive values, area under the curve, and the proportion of correctly classified individuals.

RESULTS

The prevalence of IFG ranged from 14.4 to 48.1 % across the cohorts. Diagnostic performance of the questionnaires varied in each cohort depending on IFG prevalence. The questionnaires designed by Rojas, American Diabetes Association and International Diabetes Federation had the best performance considering the correct classification (>66.0 %) of subjects in all cohorts. However, Rojas' questionnaire had the best balance between sensitivity and specificity across the cohorts.

CONCLUSION

In the Mexican population, considering different scenarios, the Rojas' questionnaire had the best diagnostic performance. The implementation of questionnaires for the identification of prediabetes and undiagnosed diabetes requires further study in specific populations.

Comparative analysis of screening models for undiagnosed diabetes in Mexico

BACKGROUND

It is estimated that 37% of Mexican adults have undiagnosed diabetes, and are therefore at high risk of developing the severe and devastating complications associated to it. In recent years, a variety of screening tools based on the characteristics of the adult Mexican population have been proposed in order to reduce the negative effects of the disease.

OBJECTIVES

To assess the performance of screening models to diagnose diabetes in the Mexican adult population and to propose a screening model based on HbA1c measurements.

MATERIALS AND METHODS

Data from the 2016 Halfway National Health and Nutrition Survey (NHNS) were used to assess the screening models and to develop and validate the proposed 2016 NHNS model, built using a multivariate logistic regression model. Explanatory variables included in the 2016 NHNS 2016 model were selected through a stepwise backward procedure, using sensitivity and specificity as performance indicators.

RESULTS

Of the screening models assessed, only the model based on the 2006 NHNS survey showed a performance consistent with previous reports. The proposed 2016 NHNS model included age, waist circumference, and systolic blood pressure as explanatory variables and showed a sensitivity of 0.72 and a specificity of 0.80 in the validation data set.

CONCLUSIONS

Age, waist circumference, and systolic blood pressure are variables of special importance for early detection of undiagnosed diabetes in Mexican adults. Based on the consistent performance of the 2006 NHNS model in different data sets, its use as a screening tool for adults with undiagnosed diabetes in Mexico is recommended.

Risk scores for type 2 diabetes mellitus in Latin America: a systematic review of population-based studies

AIM

To summarize the evidence on diabetes risk scores for Latin American populations.

METHODS

A systematic review was conducted (CRD42019122306) looking for diagnostic and prognostic models for type 2 diabetes mellitus among randomly selected adults in Latin America. Five databases (LILACS, Scopus, MEDLINE, Embase and Global Health) were searched. type 2 diabetes mellitus was defined using at least one blood biomarker and the reports needed to include information on the development and/or validation of a multivariable regression model. Risk of bias was assessed using the PROBAST guidelines.

RESULTS

Of the 1500 reports identified, 11 were studied in detail and five were included in the qualitative analysis. Two reports were from Mexico, two from Peru and one from Brazil. The number of diabetes cases varied from 48 to 207 in the derivations models, and between 29 and 582 in the validation models. The most common predictors were age, waist circumference and family history of diabetes, and only one study used oral glucose tolerance test as the outcome. The discrimination performance across studies was ~ 70% (range: 66-72%) as per the area under the receiving-operator curve, the highest metric was always the negative predictive value. Sensitivity was always higher than specificity.

CONCLUSION

There is no evidence to support the use of one risk score throughout Latin America. The development, validation and implementation of risk scores should be a research and public health priority in Latin America to improve type 2 diabetes mellitus screening and prevention.

Detection of risk for type 2 diabetes and its relationship with metabolic alterations in nurses

Objective:

to detect the risk of development of type 2 diabetes in nurses and its relationship with metabolic alterations.

Method:

cross-sectional study, with 155 nurses. The variables investigated were: sociodemographic, body mass index, waist circumference, waist-hip index, lipid profile, basal glycemia and oral glucose tolerance curve. The Finnish Diabetes Risk Score was used to collect data.

Results:

155 nurses were included, with an average age of 44 years and 85% were overweight or obese. 52% had a family history of diabetes and 21% had occasional hyperglycemia. With respect to the risk, 59% were identified with moderate and very high risk for type 2 diabetes. Glucose, insulin, glycosylated hemoglobin A1c and insulin resistance increased in parallel to the increased risk for type 2 diabetes, although lipids did not increase. 27% of the sample had impaired fasting glycemia. 15% had glucose intolerance and 5% had type 2 diabetes.

Conclusion:

there was a high detection rate of people at risk for type 2 diabetes (59%) and the high and very high risk score was associated with high levels of glycosylated hemoglobin A1c, glucose, insulin and insulin resistance, but not with lipids.

The Public Health Leadership and Implementation Academy for Noncommunicable Diseases

Purpose and Objectives

Low‐ and middle‐income countries (LMICs) have a large burden of noncommunicable diseases and confront leadership capacity challenges and gaps in implementation of proven interventions. To address these issues, we designed the Public Health Leadership and Implementation Academy (PH-LEADER) for noncommunicable diseases. The objective of this program evaluation was to assess the quality and effectiveness of PH-LEADER.

Intervention Approach

PH-LEADER was directed at midcareer public health professionals, researchers, and government public health workers from LMICs who were involved in prevention and control of noncommunicable diseases. The 1-year program focused on building implementation research and leadership capacity to address noncommunicable diseases and included 3 complementary components: a 2-month online preparation period, a 2-week summer course in the United States, and a 9-month, in-country, mentored project.

Evaluation Methods

Four trainee groups participated from 2013 through 2016. We collected demographic information on all trainees and monitored project and program outputs. Among the 2015 and 2016 trainees, we assessed program satisfaction and pre–post program changes in leadership practices and the perceived competence of trainees for performing implementation research.

Results

Ninety professionals (mean age 38.8 years; 57% male) from 12 countries were trained over 4 years. Of these trainees, 50% were from India and 29% from Mexico. Trainees developed 53 projects and 9 publications. Among 2015 and 2016 trainees who completed evaluation surveys (n = 46 of 55), we saw pre–post training improvements in the frequency with which they acted as role models (Cohen’s d = 0.62, P <.001), inspired a shared vision (d = 0.43, P =.005), challenged current processes (d = 0.60, P <.001), enabled others to act (d = 0.51, P =.001), and encouraged others by recognizing or celebrating their contributions and accomplishments (d = 0.49, P =.002). Through short on-site evaluation forms (scale of 1–10), trainees rated summer course sessions as useful (mean, 7.5; SD = 0.2), with very good content (mean, 8.5; SD = 0.6) and delivered by very good professors (mean, 8.6; SD = 0.6), though they highlighted areas for improvement.

Implications for Public Health

The PH-LEADER program is a promising strategy to build implementation research and leadership capacity to address noncommunicable diseases in LMICs.