Visión epidemiológica, psicosocial y terapéutica de la diabetes mellitus en Argentina desde las perspectivas del equipo de salud y de las personas con diabetes / Epidemiological, psychosocial and therapeutic vision of diabetes mellitus in Argentina from the perspectives of health team and people with diabetes

Introducción: la diabetes mellitus (DM) genera una pesada carga socioeconómica, y para su abordaje es necesario indagar sobre sus posibles condicionantes para lograr su control, prevención y tratamiento efectivo. Objetivos: entender la problemática de la DM en Argentina y las estrategias para mejorarla según la perspectiva de los profesionales de la salud y de las personas con DM. Materiales y métodos: se implementó un estudio descriptivo con metodología cualitativa basado en la técnica del Metaplan. Se diseñó un cuestionario con dos preguntas (¿Cuáles son a su criterio los problemas que enfrenta la DM en nuestro país?, ¿Qué estrategias emplearía para solucionarlos?), que se distribuyó entre los profesionales de la salud y las personas con DM vía Internet a través de sus respectivas Sociedades, durante junio-julio de 2021. Los participantes (adultos, residentes en Argentina) debían responder hasta cuatro alternativas en cada pregunta. Se revisaron todas las respuestas recibidas, se las agrupó por temas y se las analizó/cuantificó mediante técnicas descriptivas expresando los resultados como porcentajes. Resultados: la muestra final incluyó 404 profesionales del equipo de salud y 272 personas con DM, mayoritariamente con DM1. El análisis demostró que existe: a) una organización deficiente de la cobertura; b) un predominio de hábitos no saludables; c) escasa provisión de educación diabetológica estructurada que dificulta el diagnóstico y el tratamiento adecuado, y falta de capacitación al paciente para participar activa y eficientemente en el control y tratamiento de su enfermedad; d) deficiente calidad de atención. Conclusiones: los resultados, similares a los obtenidos en otros países, sugieren que las estrategias de solución implicarían la restructuración de la formación médica para lograr un balance armónico entre el nivel primario de atención y las especialidades, disminuyendo además la carga psicológica del paciente, la cual se vería facilitada mediante la cooperación armónica de las instituciones educativas y las sociedades científicas, al igual que con una intervención consensuada de diferentes sectores de la sociedad.

Introduction: diabetes mellitus (DM) generates a heavy socioeconomic burden, and to address it, it is necessary to investigate its possible conditioning factors to achieve effective control, prevention, and treatment. Objectives: to understand the problem of diabetes in Argentina, from the perspective of health professionals and people with DM and the strategies to improve it. Materials and methods: it was implemented a descriptive study with qualitative methodology based on the metaplan technique. A questionnaire was designed with two questions (What are, in your opinion, the problems faced by diabetes in our country?, What strategies would you use to solve them?), which was distributed to health professionals and people with DM via the Internet of their respective Societies during JuneJuly 2021. The participants (adults, residents of Argentina) had to answer up to 4 alternatives in each question. All the responses received were reviewed, grouped by topic and analyzed/ quantified using descriptive techniques, expressing the results as percentages. Results: the final sample included 404 professionals from the health team and 272 people with DM: mostly with type 1 DM. The analysis shows that there is: a) a poor organization of coverage; b) a predominance of unhealthy habits; c) scarce provision of structured diabetes education, which makes it difficult to diagnose and adequately treat, and train patients to participate actively and efficiently in the control and treatment of their disease; d) there is a deficient quality of care. Conclusions: our results, similar to those obtained in other countries, suggest that the solution strategies would go through the restructuring of medical training, achieving a harmonious balance between the primary level of care and the specialties, adding a decrease in the psychological burden of the patient. It would be facilitated by the harmonious cooperation of educational institutions and scientific societies. Likewise, through a consensual intervention of different sectors of society.

Drug treatment of type 2 diabetes: Its cost is significantly associated with HbA1c levels.

AIMS: To examine the relationship between costs of hyperglycaemia drug treatment and glycemic control amongst people with type 2 diabetes (T2D). METHODS: This observational study utilised data from the QUALIDIAB database on 3,452 T2D patients seen in Diabetes Centers in Argentina. Patients were classified according to their HbA1c value into two groups: on target (OT; HbA1c ≤ 7%), and not on target (NOT; HbA1c > 7%); within each category we considered clinical and metabolic indicators, as well as type of hyperglycaemia treatment. Monthly expenditure on drugs was estimated by micro-costing. Multivariable regression analysis was used to evaluate the association between cost of hyperglycaemia treatment and HbA1c values. RESULTS: In total, 48.9% of the participants have HbA1c OT values. Overall monthly per capita costs of this treatment increased significantly (134%) in the NOT group. Multivariable regression analysis showed that expenditure for hyperglycaemia drugs treatment was significant associated with glycemic control (OR: 0.705), diabetes duration (OR: 1.017), systolic blood pressure (OR: 1.006) and treatment of T2D (OR: 2.622). CONCLUSIONS: HbA1c NOT significantly increases drugs monthly cost of hyperglycaemia treatment in people with T2D in a country with an emerging market economy.

SWIFOLD: Smith-Waterman implementation on FPGA with OpenCL for long DNA sequences.

BACKGROUND: The Smith-Waterman (SW) algorithm is the best choice for searching similar regions between two DNA or protein sequences. However, it may become impracticable in some contexts due to its high computational demands. Consequently, the computer science community has focused on the use of modern parallel architectures such as Graphics Processing Units (GPUs), Xeon Phi accelerators and Field Programmable Gate Arrays (FGPAs) to speed up large-scale workloads. RESULTS: This paper presents and evaluates SWIFOLD: a Smith-Waterman parallel Implementation on FPGA with OpenCL for Long DNA sequences. First, we evaluate its performance and resource usage for different kernel configurations. Next, we carry out a performance comparison between our tool and other state-of-the-art implementations considering three different datasets. SWIFOLD offers the best average performance for small and medium test sets, achieving a performance that is independent of input size and sequence similarity. In addition, SWIFOLD provides competitive performance rates in comparison with GPU-based implementations on the latest GPU generation for the large dataset. CONCLUSIONS: The results suggest that SWIFOLD can be a serious contender for accelerating the SW alignment of DNA sequences of unrestricted size in an affordable way reaching on average 125 GCUPS and almost a peak of 270 GCUPS.

Self-administered structured food record for measuring individual energy and nutrient intake in large cohorts: Design and validation / Registro alimentario estructurado y autoadministrado para estimar la ingesta individual de energía y nutrientes en grandes cohortes: diseño y validación

Introduction: Several instruments developed to assess dietary intake of groups or populations have strengths and weaknesses that affect their specific application. No self-administered, closed-ended dietary survey was previously used in Argentina to assess current food and nutrient intake on a daily basis. Objective: To design and validate a self-administered, structured food record (NutriQuid, NQ) representative of the adult Argentine population's food consumption pattern to measure individual energy and nutrient intake. Materials and methods: Records were loaded onto a database using software that checks a regional nutrition information system (SARA program), automatically quantifying energy and nutrient intake. NQ validation included two phases: (1) NQ construct validity comparing records kept simultaneously by healthy volunteers (45-75 years) and a nutritionist who provided meals (reference), and (2) verification of whether NQ reflected target population consumption (calories and nutrients), week consumption differences, respondent acceptability, and ease of data entry/analysis. Data analysis included descriptive statistics, repeated measures ANOVA, intraclass correlation coefficient, nonparametric regression, and cross-classification into quintiles. Results: The first validation (study group vs. reference) showed an underestimation (10%) of carbohydrate, fat, and energy intake. Second validation: 109 volunteers (91% response) completed the NQ for seven consecutive days. Record completion took about 9min/day, and data entry 3-6min. Mean calorie intake was 2240±119kcal/day (42% carbohydrates, 17% protein, and 41% fat). Intake significantly increased in the weekend. Conclusion: NQ is a simple and efficient tool to assess dietary intake in large samples

Introducción: Diferentes instrumentos para evaluar la ingesta alimentaria grupal o poblacional tienen fortalezas y debilidades que afectan a su aplicación. No existe experiencia nacional con un registro dietético auto-administrado cerrado para evaluar la ingesta actual de alimentos y nutrientes diaria de alimentos. Objetivo: Diseñar y validar un registro de alimentos estructurado, auto-administrado (NutriQuid [NQ]), representativo del patrón de consumo alimentario de la población argentina adulta para medir la ingesta individual de energía y nutrientes. Materiales y métodos: Desarrollamos un software para incorporar registros en una base de datos y verificar información nutricional (programa SARA), cuantificando automáticamente la ingesta de energía y nutrientes. La validación de NQ incluyó 2 fases: 1) comparación simultánea de registros del NQ completado por voluntarios sanos (45-75 años) y de una nutricionista que preparó las comidas ofrecidas (referencia), y 2) verificación si el NQ reflejó el consumo diferencial de población objetivo (calorías y nutrientes) durante la semana, aceptabilidad por los encuestados y facilidad de ingreso/análisis de datos. Análisis estadístico: incluyó estadística descriptiva, ANOVA de medidas repetidas, coeficiente de correlación intraclase, regresión no paramétrica y clasificación cruzada en quintilos. Resultados: La primera validación (voluntarios vs. referencia): mostró una subestimación del 10% de la ingesta de carbohidratos, grasas y energía. Segunda validación: 109 voluntarios (91% de respuesta) completaron el NQ durante 7 días consecutivos. Completar los registros requirió 9min/día y la carga de datos 3-6min. La ingesta calórica promedio fue de 2.240±119kcal/día (42% carbohidratos, 17% proteína y 41% grasa) y aumentó significativamente durante el fin de semana. Conclusión: El NQ es una herramienta simple y eficiente para evaluar la ingesta alimentaria en grandes grupos

Self-administered structured food record for measuring individual energy and nutrient intake in large cohorts: Design and validation.

INTRODUCTION: Several instruments developed to assess dietary intake of groups or populations have strengths and weaknesses that affect their specific application. No self-administered, closed-ended dietary survey was previously used in Argentina to assess current food and nutrient intake on a daily basis. OBJECTIVE: To design and validate a self-administered, structured food record (NutriQuid, NQ) representative of the adult Argentine population's food consumption pattern to measure individual energy and nutrient intake. MATERIALS AND METHODS: Records were loaded onto a database using software that checks a regional nutrition information system (SARA program), automatically quantifying energy and nutrient intake. NQ validation included two phases: (1) NQ construct validity comparing records kept simultaneously by healthy volunteers (45-75 years) and a nutritionist who provided meals (reference), and (2) verification of whether NQ reflected target population consumption (calories and nutrients), week consumption differences, respondent acceptability, and ease of data entry/analysis. Data analysis included descriptive statistics, repeated measures ANOVA, intraclass correlation coefficient, nonparametric regression, and cross-classification into quintiles. RESULTS: The first validation (study group vs. reference) showed an underestimation (10%) of carbohydrate, fat, and energy intake. Second validation: 109 volunteers (91% response) completed the NQ for seven consecutive days. Record completion took about 9min/day, and data entry 3-6min. Mean calorie intake was 2240±119kcal/day (42% carbohydrates, 17% protein, and 41% fat). Intake significantly increased in the weekend. CONCLUSION: NQ is a simple and efficient tool to assess dietary intake in large samples.

Relation between cost of drug treatment and body mass index in people with type 2 diabetes in Latin America.

AIMS: Despite the frequent association of obesity with type 2 diabetes (T2D), the effect of the former on the cost of drug treatment of the latest has not been specifically addressed. We studied the association of overweight/obesity on the cost of drug treatment of hyperglycemia, hypertension and dyslipidemia in a population with T2D. METHODS: This observational study utilized data from the QUALIDIAB database on 3,099 T2D patients seen in Diabetes Centers in Argentina, Chile, Colombia, Peru, and Venezuela. Data were grouped according to body mass index (BMI) as Normal (18.5≤BMI<25), Overweight (25≤BMI<30), and Obese (BMI≥30). Thereafter, we assessed clinical and metabolic data and cost of drug treatment in each category. Statistical analyses included group comparisons for continuous variables (parametric or non-parametric tests), Chi-square tests for differences between proportions, and multivariable regression analysis to assess the association between BMI and monthly cost of drug treatment. RESULTS: Although all groups showed comparable degree of glycometabolic control (FBG, HbA1c), we found significant differences in other metabolic control indicators. Total cost of drug treatment of hyperglycemia and associated cardiovascular risk factors (CVRF) increased significantly (p<0.001) with increment of BMI. Hyperglycemia treatment cost showed a significant increase concordant with BMI whereas hypertension and dyslipidemia did not. Despite different values and percentages of increase, this growing cost profile was reproduced in every participating country. BMI significantly and independently affected hyperglycemia treatment cost. CONCLUSIONS: Our study shows for the first time that BMI significantly increases total expenditure on drugs for T2D and its associated CVRF treatment in Latin America.

Improving diabetes care at primary care level with a multistrategic approach: results of the DIAPREM programme.

AIM: To present results, 1 year postimplementation at primary care level, of an integrated diabetes care programme including systemic changes, education, registry (clinical, metabolic, and therapeutic indicators), and disease management (DIAPREM). METHODS: We randomly selected and trained 15 physicians and 15 nurses from primary care units of La Matanza County (intervention-IG) and another 15 physicians/nurses to participate as controls (control-CG). Each physician-nurse team controlled and followed up 10 patients with type 2 diabetes for 1 year; both groups used structured medical records. Patients in IG had quarterly clinical appointments, whereas those in CG received traditional care. Statistical data analysis included parametric/nonparametric tests according to data distribution profile and Chi-squared test for proportions. RESULTS: After 12 months, the dropout rate was significantly lower in IG than in CG. Whereas in IG HbA1c, blood pressure and lipid profile levels significantly decreased, no changes were recorded in CG. Drug prescriptions showed no significant changes in IG except a decrease in oral monotherapy. CONCLUSIONS: DIAPREM is an expedient and simple multistrategic model to implement at the primary care level in order to decrease patient dropout and improve control and treatment adherence, and quality of care of people with diabetes.

Multistrategic approach to improve quality of care of people with diabetes at the primary care level: Study design and baseline data.

AIM: To test the one year-post effect of an integrated diabetes care program that includes system changes, education, registry (clinical, metabolic and therapeutic indicators) and disease management (DIAPREM), implemented at primary care level, on care outcomes and costs. METHODS: We randomly selected 15 physicians and 15 nurses from primary care units of La Matanza County to be trained (Intervention-IG) and another 15 physicians/nurses to use as controls (Control-CG). Each physician-nurse team controlled and followed up 10 patients with type 2 diabetes for one year; both groups use structured medical data registry. Patients in IG had quarterly clinical appointments whereas those in CG received traditional care. DIAPREM includes system changes (use of guidelines, programmed quarterly controls and yearly visits to the specialist) and education (physicians' and nurses' training courses). Statistical data analysis included parametric/nonparametric tests according to data distribution profile and Chi-squared test for proportions. RESULTS: Baseline data from both groups showed comparable values and 20-30% of them did not perform HbA1c and lipid profile measurements. Majority were obese, 59% had HbA1C ≥7%, 86% fasting blood glucose ≥100mg/dL, 45%, total cholesterol ≥200mg/dL, and 92% abnormal HDL- and LDL-cholesterol values. Similarly, micro and macroangiopathic complications had not been detected in the previous year. Most patients received oral antidiabetic agents (monotherapy), and one third was on insulin (mostly a single dose of an intermediate/long-acting formulation). Most people with hypertension received specific drug treatment but only half of them reached target values; dyslipidemia treatment showed similar data. CONCLUSIONS: Baseline data demonstrated the need of implementing an intervention to improve diabetes care and treatment outcomes.

Frequency of self-monitoring blood glucose and attainment of HbA1c target values.

AIMS: Test strips for self-monitoring of blood glucose (SMBG) represent in Argentina, around 50 % of diabetes treatment cost; the frequency of their use is closely associated with hyperglycemia treatment. However, the favorable impact of SMBG on attainment of HbA1c goal in different treatment conditions remains controversial. We therefore attempted to estimate the relationship between use of SMBG test strips and degree of attainment of metabolic control in an institution of our social security subsector (SSS) in which provision is fully covered and submitted to a regular audit system. METHODS: Observational retrospective study using information of 657 patients with T2DM (period 2009-2010) from the database of the Diabetes and Other Cardiovascular Risk Factors Program (DICARO) of one institution of our SSS. DICARO provides-with an audit system-100 % coverage for all drugs and keeps records of clinical, metabolic and treatment data from every patient. RESULTS: The average monthly test strips/patient used for SMBG increased as a function of treatment intensification: Monotherapy with oral antidiabetic drugs (OAD) < combined OAD therapy < insulin treatment. In every condition, the number was larger in people with target HbA1c levels. Test strips represented the larger percentage of total prescription cost. CONCLUSIONS: In our population, the type of hyperglycemia treatment was the main driver of test strip use for SMBG; in every condition tested, targeted HbA1c values were associated with greater strip use. Patient education and prescription audit may optimize its use and treatment outcomes.

Self-monitoring of blood glucose: use, frequency drivers, and cost in Argentina.

Although test strips for self-monitoring of blood glucose (SMBG) represent around 50% of diabetes treatment cost in Argentina, little is known about their current use and relationship with different types of treatment. We therefore aimed to estimate the current use of test strips and identify the major use drivers and the percentage they represent of total prescription costs in 2 entities of the social security system (SSS) of Argentina. Observational retrospective study measuring test strip prescriptions delivered by pharmacies from the province of Buenos Aires (8115 records collected during 3 months provided by the Colegio de Farmacéuticos de la Provincia de Buenos Aires) of affiliates with type 2 diabetes (T2DM) from 2 large entities of the SSS system. The average monthly test strips/patient used for SMBG was 97.5 ± 70.1. This number varied according to treatment: monotherapy with oral antidiabetic drugs (OAD) < combined OAD therapy < insulin treatment. Test strips represented a higher percentage of the total prescription cost in people under OAD monotherapy (84.6%) and lower in those with insulin analogs (46.9%). In our population, the type of hyperglycemia treatment was the main driver of test strip use for SMBG and its impact on the total prescription cost depends on the kind of such treatment. Since it has been shown that patients' education and prescription audit can optimize test strip use and treatment outcomes, implementation of such strategies could appropriately support, optimize, and reduce ineffective test strip use in people with T2DM.