Identifying the necessary capacities for the adaptation of a diabetes phenotyping algorithm in countries of differing economic development status.

BACKGROUND: In 2019, the World Health Organization recognised diabetes as a clinically and pathophysiologically heterogeneous set of related diseases. Little is currently known about the diabetes phenotypes in the population of low- and middle-income countries (LMICs), yet identifying their different risks and aetiology has great potential to guide the development of more effective, tailored prevention and treatment. OBJECTIVES: This study reviewed the scope of diabetes datasets, health information ecosystems, and human resource capacity in four countries to assess whether a diabetes phenotyping algorithm (developed under a companion study) could be successfully applied. METHODS: The capacity assessment was undertaken with four countries: Trinidad, Malaysia, Kenya, and Rwanda. Diabetes programme staff completed a checklist of available diabetes data variables and then participated in semi-structured interviews about Health Information System (HIS) ecosystem conditions, diabetes programme context, and human resource needs. Descriptive analysis was undertaken. RESULTS: Only Malaysia collected the full set of the required diabetes data for the diabetes algorithm, although all countries did collect the required diabetes complication data. An HIS ecosystem existed in all settings, with variations in data hosting and sharing. All countries had access to HIS or ICT support, and epidemiologists or biostatisticians to support dataset preparation and algorithm application. CONCLUSIONS: Malaysia was found to be most ready to apply the phenotyping algorithm. A fundamental impediment in the other settings was the absence of several core diabetes data variables. Additionally, if countries digitise diabetes data collection and centralise diabetes data hosting, this will simplify dataset preparation for algorithm application. These issues reflect common LMIC health systems' weaknesses in relation to diabetes care, and specifically highlight the importance of investment in improving diabetes data, which can guide population-tailored prevention and management approaches.

Inequalities in the prevalence, diagnosis awareness, treatment coverage and effective control of diabetes: a small area estimation analysis in Iran.

OBJECTIVE: This study aims to assess geographic inequalities in the prevalence, awareness of diagnosis, treatment coverage and effective control of diabetes in 429 districts of Iran. METHODS: A modelling study by the small area estimation method, based on a nationwide cross-sectional survey, Iran STEPwise approach to surveillance (STEPS) 2016, was performed. The modelling estimated the prevalence, awareness of diagnosis, treatment coverage, and effective control of diabetes in all 429 districts of Iran based on data from available districts. The modelling results were provided in different geographical and socio-economic scales to make the comparison possible across the country. RESULTS: In 2016, the prevalence of diabetes ranged from 3.2 to 19.8% for women and 2.4 to 19.1% for men. The awareness of diagnosis ranged from 51.9 to 95.7% for women and 35.7 to 100% for men. The rate of treatment coverage ranged from 37.2 to 85.6% for women and 24.4 to 80.5% for men. The rate of effective control ranged from 12.1 to 63.6% for women and 12 to 73% for men. The highest treatment coverage rates belonged to Ardebil for women and Shahr-e-kord for men. The highest effective control rates belonged to Sanandaj for women and Nehbandan for men. Across Iran districts, there were considerable differences between the highest and lowest rates of prevalence, diagnosis awareness, treatment coverage, and effective control of diabetes. The concentration indices of diabetes prevalence, awareness of diagnosis, and treatment coverage were positive and significant for both sexes. CONCLUSION: Findings of this study highlight the existence of inequalities in diagnosis awareness, treatment coverage, and effective control of diabetes in all Iran regions. More suitable population-wide strategies and policies are warranted to handle these inequalities in Iran.

Effect of health system on the association of rurality and level of disadvantage with receipt of diabetic eye screening.

INTRODUCTION: Rural versus urban disparities have been observed in diabetic eye screening, but whether the level of disadvantage in rural versus urban areas is related to these disparities is unclear. Our goal was to determine the role of level of disadvantage in explaining the effect of health systems on rural and urban disparities in diabetic eye screening. RESEARCH DESIGN AND METHODS: This is a retrospective cohort study using an all-payer, state-wide claims database covering over 75% of Wisconsin residents. We included adults with diabetes (18-75 years old) who had claims billed throughout the baseline (2012-2013) and measurement (2013-2014) years. We performed multivariable regressions to assess factors associated with receipt of diabetic eye screening. The primary exposure was the primary care clinic's combined level of rurality and disadvantage. We adjusted for the health system as well as patient-level variables related to demographics and comorbidities. Health system was defined as an associated group of physicians and/or clinics. RESULTS: A total of 118 707 adults with diabetes from 698 primary care clinics in 143 health systems met the inclusion criteria. Patients from urban underserved clinics were less likely to receive screening than those from rural underserved clinics before adjusting for health system in the model. After adjusting for health system fixed effects, however, the directionality of the relationship between clinic rurality and screening reversed: patients from urban underserved clinics were more likely to receive screening than those from rural underserved clinics. Similar findings were observed for both Medicare and non-Medicare subgroups. CONCLUSIONS: The effect of health system on receipt of diabetic eye screening in rural versus urban areas is most pronounced in underserved areas. Health systems, particularly those providing care to urban underserved populations, have an opportunity to increase screening rates by leveraging health system-level interventions to support patients in overcoming barriers from social determinants of health.

Programmatic Cost-Effectiveness of a Second-Time Visit to Detect New Tuberculosis and Diabetes Mellitus in TB Contact Tracing in Myanmar.

BACKGROUND: Integration of diabetes mellitus screening in home visits for contact tracing for tuberculosis could identify hidden patients with either tuberculosis or diabetes mellitus. However, poor compliance to the first home screening has been reported. A second time visit not only increases screening compliance but also the cost. This study aimed to determine if an additional second time visit was cost effective based on the health system perspective of the tuberculosis contact tracing program in Myanmar. METHODS: This cross-sectional study was based on usual contact tracing activity in the Yangon Region, Myanmar, from April to December 2018 with integration of diabetes mellitus screening and an additional home visit to take blood glucose tests along with repeated health education and counseling to stress the need for a chest X-ray. New tuberculosis and diabetes mellitus cases detected were the main outcome variables. Programmatic operational costs were calculated based on a standardized framework for cost evaluation on tuberculosis screening. The effectiveness of an additional home visit was estimated using disability-adjusted life years averted. The willingness to pay threshold was taken as 1250.00 US dollars gross domestic product per capita of the country. RESULTS: Single and additional home visits could lead to 42.5% and 65.0% full compliance and 27.2 and 9.3 additional years of disability-adjusted life years averted, respectively. The respective base costs and additional costs were 3280.95 US dollars and 1989.02 US dollars. The programmatic costs for an extra unit of disability-adjusted life years averted was 213.87 US dollars, which was lower than the willingness to pay threshold. CONCLUSIONS: From the programmatic perspective, conducting the second time visit for tuberculosis contact tracing integrated with diabetes mellitus screening was found to be cost effective.

Diabetes in the public healthcare sector of four South African provinces: A comparative analysis.

BACKGROUND: The growing burden of diabetes has long been under the radar in developing countries such as South Africa (SA). In recent years, there has been an unprecedented and exponential increase in recorded and undiagnosed diabetes mellitus (DM) cases. Unreliable data collection, overburdened health systems and poor infrastructure have all proved to be barriers to achieving optimum disease management. The District Health Information System (DHIS) serves as the data collection tool for the SA public healthcare sector. It is used in all nine SA provinces to gather data without individual patient identifiers. OBJECTIVE: To analyse and compare the DM data collected by the DHIS in the Western Cape (WC), Eastern Cape (EC), KwaZulu-Natal (KZN) and Gauteng provinces of SA. METHODS: An audit of diabetes-related data from the DHIS for 2016 was conducted. The data were then analysed using Excel. Time-series and cross-sectional analyses were made possible using pivot tables. Graphics were designed using Thinkcell software. RESULTS: Of the four provinces surveyed, Gauteng recorded the highest incidence of DM, 67% higher than the reported global DM incidence estimate, while the WC had the lowest incidence. A similar pattern was also noted regarding the incidence of DM in people aged <18 years, with Gauteng having the highest and WC the lowest prevalence results. When comparing the number of DM-related consultations conducted in each province, the metropolitan districts were highlighted as hotspots of activity for DM care. This study found a moderate inversely proportional relationship between the incidence of DM in all provinces and education deprivation (p<0.05). Among the provinces that collected data on screening (excluding EC), KZN recorded the highest number of diabetic screenings. CONCLUSION: Metropolitan areas were highlighted as areas to be targeted, further reinforcing the current connection observed between urbanisation and DM in SA. The presence and recording of screening efforts is an excellent step in the right direction for the SA public healthcare sector and the DHIS. With improved interprovincial co-ordination regarding standardisation of the criteria and specifications of data collection fields, and enhanced training for data officers and primary collection agents, good quality and rich data is a very close possibility.

Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big data.

We sought to verify the reliability of machine learning (ML) in developing diabetes prediction models by utilizing big data. To this end, we compared the reliability of gradient boosting decision tree (GBDT) and logistic regression (LR) models using data obtained from the Kokuho-database of the Osaka prefecture, Japan. To develop the models, we focused on 16 predictors from health checkup data from April 2013 to December 2014. A total of 277,651 eligible participants were studied. The prediction models were developed using a light gradient boosting machine (LightGBM), which is an effective GBDT implementation algorithm, and LR. Their reliabilities were measured based on expected calibration error (ECE), negative log-likelihood (Logloss), and reliability diagrams. Similarly, their classification accuracies were measured in the area under the curve (AUC). We further analyzed their reliabilities while changing the sample size for training. Among the 277,651 participants, 15,900 (7978 males and 7922 females) were newly diagnosed with diabetes within 3 years. LightGBM (LR) achieved an ECE of 0.0018 ± 0.00033 (0.0048 ± 0.00058), a Logloss of 0.167 ± 0.00062 (0.172 ± 0.00090), and an AUC of 0.844 ± 0.0025 (0.826 ± 0.0035). From sample size analysis, the reliability of LightGBM became higher than LR when the sample size increased more than [Formula: see text]. Thus, we confirmed that GBDT provides a more reliable model than that of LR in the development of diabetes prediction models using big data. ML could potentially produce a highly reliable diabetes prediction model, a helpful tool for improving lifestyle and preventing diabetes.

Rastreamento clínico e nutricional de gestantes de alto risco na estratégia de saúde da família de Santa Quitéria - CE / Clinical and nutritional screening of high-risk pregnant women in the family health strategy of Santa Quitéria - CE / Cribado clínico y nutricional de las embarazadas de alto riesgo en la estrategia de salud familiar de Santa Quitéria - CE

Considera-se gestação de alto risco quando a mulher apresenta comorbidade materna e/ou condição sociobiológica que levam as chances de ocorrer alguma intercorrência na evolução natural da gravidez, como hipertensão arterial, diabetes, anemia, alcoolismo e obesidade. É de grande importância o acompanhamento pré-natal com uma equipe de assistência capaz de identificar os problemas antes mesmo que possam ser agravados. O objetivo deste estudo foi rastrear o perfil clínico e nutricional de mulheres com gestação de alto risco na Estratégia de Saúde da Família de Santa Quitéria- CE. Trata-se de um estudo descritivo, com abordagem quantitativa realizado com 33 gestantes. Para a coleta de dados foi utilizado o cartão da gestante e prontuário, o estado nutricional foi avaliado através do peso pré- gestacional contido no cartão e peso atual através da balança. Para análise estatística, foram usados frequências, percentuais, médias e desvio padrão, verificadas por meio dos testes de Kolmogorov-Smirnov e Levene. Para a comparação de médias entre duas categorias, utilizou-se o teste t de Student para amostras independentes. Os resultados mostraram que a maioria tinha o ensino médio como nível de escolaridade, renda igual ou menor que um salário mínimo, multíparas com um ou mais abortos. Em relação às características do estado clínico patológico, as condições mais prevalentes nas gestantes do presente estudo foram hipertensão arterial sistêmica, pré-eclâmpsia, seguidos de DMG e eritoblastose. Excesso de peso antes e durante a gravidez com ganho ponderal de peso adequado. O que demonstra a necessidade de estratégias para a saúde da mulher. É apropriado acionar sinal de alerta no acompanhamento da saúde da mulher também antes da gestação e não somente no pré-natal para que transcorra bem durante e após o parto. PALAVRAS-CHAVE: Estado nutricional; Gestação de alto risco; Assistência Pré-Natal.

High-risk pregnancy is considered when the woman presents maternal comorbidity and/or sociobiological condition that increase the chances of some complication occurring in the natural evolution of pregnancy, such as arterial hypertension, diabetes, anemia, alcoholism, and obesity; It is of great importance the prenatal follow-up with an assistance team capable of identifying the problems even before they can be aggravated; The objective of this study was to track the clinical and nutritional profile of women with high-risk pregnancy in the Family Health Strategy of Santa Quitéria-CE; This is a descriptive study with a quantitative approach carried out with 33 pregnant women; For data collection the pregnant woman's card and medical records were used, the nutritional status was evaluated through the pre-gestational weight contained in the card and current weight through the scale; For statistical analysis, frequencies, percentages, means and standard deviation were used, verified by means of the Kolmogorov-Smirnov and Levene tests;For comparison of means between two categories, Student's t test for independent samples was used; The results showed that most had high school education, income equal to or less than one minimum wage, multiparous women with one or more abortions; Regarding the characteristics of the pathological medical condition, the most prevalent conditions in the pregnant women of the present study were hypertension, pre- eclampsia, followed by GDM and erythoblastosis; Overweight before and during pregnancy with adequate weight gain; This demonstrates the need for women's health strategies; It is appropriate to trigger warning signals in the monitoring of women's health also before pregnancy and not only in the prenatal period so that it goes well during and after delivery;

Se considera embarazo de alto riesgo cuando la mujer presenta comorbilidad materna y/o condición socio-biológica que conlleva las posibilidades de aparición de alguna complicación en la evolución natural del embarazo, como son la hipertensión, la diabetes, la anemia, el alcoholismo y la obesidad. Es de gran importancia el seguimiento prenatal con un equipo de asistencia capaz de identificar los problemas incluso antes de que puedan agravarse. El objetivo de este estudio fue rastrear el perfil clínico y nutricional de las mujeres con embarazo de alto riesgo en la Estrategia de Salud Familiar de Santa Quitéria-CE. Se trata de un estudio descriptivo con un enfoque cuantitativo realizado con 33 mujeres embarazadas. Para la recopilación de datos se utilizó el cartón de la gestante y el prontuario, el estado nutricional se evaluó a través del peso pregestacional contenido en el cartón y el peso actual a través de la balanza. Para el análisis estadístico se utilizaron frecuencias, porcentajes, medias y desviación estándar, verificados mediante las pruebas de Kolmogorov-Smirnov y Levene. Para la comparación de medias entre dos categorías, se utilizó la prueba t de Student para muestras independientes. Los resultados mostraron que la mayoría tenía estudios secundarios, ingresos iguales o inferiores a un salario mínimo, mujeres multíparas con uno o más abortos. En cuanto a las características del estado clínico patológico, las condiciones más prevalentes en las embarazadas del presente estudio fueron la hipertensión arterial sistémica, la preeclampsia, seguidas de la DMG y la eritoblastosis. Exceso de peso antes y durante el embarazo con un aumento de peso adecuado. Lo que demuestra la necesidad de estrategias de salud para las mujeres. Es conveniente activar la señal de alarma en el seguimiento de la salud de las mujeres también antes del embarazo y no sólo en la atención prenatal para que funcione bien durante y después del parto.

Availability and affordability of essential medicines and diagnostic tests for diabetes mellitus in Africa.

OBJECTIVE: To investigate the current status of the availability and affordability of specific essential medicines and diagnostics for diabetes in Africa. METHODS: Systematic review and meta-analysis. Studies conducted in Africa that reported any information on the availability and affordability of short-acting, intermediate-acting, and premixed insulin, glibenclamide, metformin, blood glucose, glycated haemoglobin or HbA1c, and lipid profile tests were included. Random-effect model meta-analysis and descriptive statistics were performed to determine the pooled availability and affordability, respectively. RESULTS: A total of 21 studies were included. The pooled availability of each drug was as follows: short-acting insulin 33.5% (95% CI: 17.8%-49.2%, I2  = 95.02%), intermediate-acting insulin 23.1% (95% CI: 6.3%-39.9%, I2  = 91.6%), premixed insulin 49.4% (95% CI: 24.9%-73.9%, I2  = 90.57%), glibenclamide 55.9% (95% CI: 43.8%-68.0%, I2  = 96.7%), and metformin 47.0% (95% CI: 34.6%-59.4%, I2  = 97.54%). Regarding diagnostic tests, for glucometers the pooled availability was 49.5% (95% CI: 37.9%-61.1%, I2  = 97.43%), for HbA1c 24.6% (95% CI: 3.1%-46.1%, I2  = 91.64), and for lipid profile tests 35.7% (95% CI: 19.4%-51.9%, I2  = 83.77%). The median (IQR) affordability in days' wages was 7 (4.7-7.5) for short-acting insulin, 4.4 (3.9-4.9) for intermediate-acting insulin, 7.1 (5.8-16.7) for premixed insulin, 0.7 (0.7-0.7) for glibenclamide, and 2.1 (1.8-2.8) for metformin. CONCLUSION: The availability of the five essential medicines and three diagnostic tests for diabetes in Africa is suboptimal. The relatively high cost of insulin, HbA1c, and lipid profile tests is a significant barrier to optimal diabetes care. Pragmatic country-specific strategies are urgently needed to address these inequities in access and cost.

Assessment of the predictive value of carotid color Doppler ultrasound Crouse score combined with high-sensitivity C-reactive protein in elderly diabetics with cerebral infarction.

BACKGROUND: Both the carotid Crouse score and high-sensitivity C-reactive protein (hs-CRP) levels are commonly used to evaluate atherosclerosis and vascular inflammatory response. This study was to investigate the correlation between the Crouse score and hs-CRP and cerebral infarction (CI) in elderly diabetics. METHODS: We compared the carotid Crouse scores and hs-CRP levels between two groups of diabetic patients with and without CIs (n = 100 each) and the relationship between changes in these indices and CI. RESULTS: Between the four groups (control, diabetic with a large CI, diabetic with a small CI, and diabetic with a lacunar CI) there was a significant difference in the age, sex, Crouse scores and hs-CRP levels, as well as fasting blood glucose (FBG) and glycated haemoglobin (HbA1c) (all p < 0.05). Logistic regression analysis with CI as the dependent variable showed that the age (odds ratio [OR] = 1.114, 95% confidence interval [CFI]: 1.063-1.167, p = 0.000), FBG (OR = 1.260, 95% CFI: 1.102-1.570, p = 0.039), HbA1c (OR = 2.036, 95% CFI: 1.348-3.703, p = 0.001), Crouse score (OR = 2.721, 95% CFI: 1.800-4.114, p = 0.000) and hs-CRP level (OR = 3.364, 95% CFI: 2.185-5.180, p = 0.000) were risk factors for a CI in combination with diabetes mellitus. Significant differences were found in age, diastolic blood pressure, Crouse scores and hs-CRP levels between the male diabetic-non-CI subgroup, female diabetic-non-CI subgroup, male diabetic-CI subgroup and female diabetic-CI subgroup (All p < 0.05). CONCLUSION: The carotid Crouse score method has high reliability and reflects the severity of carotid atherosclerosis. The age, sex, fasting blood glucose, HbA1c, Crouse score, an elevated hs-CRP level, and the occurrence of CI in elderly with diabetes mellitus are closely related.

Cost-effectiveness of community diabetes screening: Application of Akaike information criterion in rural communities of Nigeria.

Background: The prevalence of diabetes mellitus (DM) is increasing globally, and this requires several approaches to screening. There are reports of alternative indices for prediction of DM, besides fasting blood glucose (FBG) level. This study, investigated the ability of combination of biochemical and anthropometric parameters and orodental disease indicators (ODIs) to generate models for DM prediction, using Akaike information criterion (AIC) to substantiate health economics of diabetes screening. Methods: Four hundred and thirty-three subjects were enrolled in the study in Ndokwa communities, Delta State, Nigeria, and their glycaemic status was determined, using the CardioChek analyser® and previous data from the Prediabetes and Cardiovascular Complications Study were also used. The cost of screening for diabetes (NGN 300 = $0.72) in a not-for-profit organization/hospital was used as basis to calculate the health economics of number of individuals with DM in 1,000 participants. Data on the subjects' anthropometric, biochemical and ODI parameters were used to generate different models, using R statistical software (version 4.0.0). The different models were evaluated for their AIC values. Lowest AIC was considered as best model. Microsoft Excel software (version 2020) was used in preliminary analysis. Result: The cost of identifying <2 new subjects with hyperglycemia, in 1,000 people was ≥NGN 300,000 ($ 716). A total of 4,125 models were generated. AIC modeling indicates FBG test as the best model (AIC = 4), and the least being combination of random blood sugar + waist circumference + hip circumference (AIC ≈ 34). Models containing ODI parameters had AIC values >34, hence considered as not recommendable. Conclusion: The cost of general screening for diabetes in rural communities may appear high and burdensome in terms of health economics. However, the use of prediction models involving AIC is of value in terms of cost-benefit and cost-effectiveness to the healthcare consumers, which favors health economics.

Effect of State-Led Delivery System and Payment Reforms on Population-Level Detection and Management of Diabetes.

OBJECTIVE: The Centers for Medicare and Medicaid Services State Innovation Models (SIM) initiative has invested more than $1 billion to test state-led delivery system and payment reforms that can affect diabetes care management. We examined whether SIM implementation between 2013 and 2017 was associated with diagnosed diabetes prevalence or with hospitalization or 30-day readmission rate among diagnosed adults. RESEARCH DESIGN AND METHODS: The quasiexperimental design compared study outcomes before and after the SIM initiative in 12 SIM states versus five comparison states using difference-in-differences (DiD) regression models of 21,055,714 hospitalizations for adults age ≥18 years diagnosed with diabetes in 889 counties from 2010 to 2017 across the 17 states. For readmission analyses, comparative interrupted time series (CITS) models included 11,812,993 hospitalizations from a subset of nine states. RESULTS: Diagnosed diabetes prevalence changes were not significantly different between SIM states and comparison states. Hospitalization rates were inconsistent across models, with DiD estimates ranging from -5.34 to -0.37 and from -13.16 to 0.92, respectively. CITS results indicate that SIM states had greater increases in odds of 30-day readmission during SIM implementation compared with comparison states (round 1: adjusted odds ratio [AOR] 1.07; 95% CI 1.04, 1.11; P < 0.001; round 2: AOR 1.06; 95% CI 1.03, 1.10; P = 0.001). CONCLUSIONS: The SIM initiative was not sufficiently focused to have a population-level effect on diabetes detection or management. SIM states had greater increases in 30-day readmission for adults with diabetes than comparison states, highlighting potential unintended effects of engaging in the multipayer alignment efforts required of state-led delivery system and payment reforms.

Application of biological variation and sigma metrics to evaluate the performance of HbA1c in external quality assessment.

BACKGROUND: It is crucial to improve the accuracy of HbA1c measurement as its essential role in diabetes diagnosis and treatment. We aimed to establish the biological variation (BV) and sigma metrics (SM) models and apply the models to evaluate the analytical performance of HbA1c in external quality assessment (EQA) program. METHODS: Data of HbA1c EQA (2021) and internal quality control (IQC) (March-August 2021) were collected. The group-specific bias and coefficient of variance (CV) were computed for measuring systems with laboratory number >9 in EQA program. The analytical bias and CV for individual laboratory were estimated from EQA and IQC data. The CV% and bias% were plotted in the BV-SM models for performance evaluation of measuring system and individual laboratory. RESULTS: Totally, 380 laboratories participated in EQA program. The overall inter-laboratory CV of five EQA samples ranged from 3.02% to 3.63%. There were five measuring systems that met the minimum performance for 5/5 samples: Arkary, Primus, Roche, Mindray and Tosoh, but none of them achieved the optimum performance. Half of the 196 laboratories that reported IQC and EQA results simultaneously achieved 3σ and minimum performance limits. Further analysis indicated that 88.8%, and 31.6% of the laboratories met the minimum performance for bias and CV, respectively. CONCLUSIONS: The biological variation and sigma metrics are appropriate quality management models for evaluating the performance of HbA1c in EQA program. The intra-laboratory and inter-laboratory imprecision need to be improved in order to achieve the required analytical goals for diabetes diagnosis.

Direct and indirect costs of heart failure in relation to diabetes status - A nationwide study.

BACKGROUND AND AIM: Heart failure (HF) and diabetes mellitus (DM) are burdensome chronic diseases with high lifetime risks and numerous studies indicate associations between HF and DM. The objective of this study was to investigate the direct and indirect costs of HF patients with and without DM. METHODS AND RESULTS: Patients with a first-time diagnosis of HF from 1998 to 2016 were identified through nationwide Danish registries and stratified according to DM status into HF with or without DM. The economic healthcare cost analysis was based on both direct costs, including hospitalization, procedures, medication and indirect costs including social welfare and lost productivity. The economic burden was investigated prior to, at, and following diagnosis of HF. Patients with concomitant HF and DM were younger (median age 74 vs. 77), had more comorbidities and fewer were female as compared to patients with HF but without DM. The socioeconomic burden of concomitant HF and DM compared to HF alone was substantially higher; 45% in direct costs (€16,237 vs. €11,184), 35% in home care costs (€3123 vs. €2320), 8% in social transfer income (€17,257 vs. €15,994) and they had 27% lower income (€10,136 vs. €13,845). The economic burden peaked at year of diagnosis, but the difference became increasingly pronounced in the years following the HF diagnosis. CONCLUSION: Patients with concomitant HF and DM had a significantly higher economic burden compared to patients with HF but without DM.

Caracterización y resultados del manejo de úlceras en pie diabético en una institución terciaria / Characterization and results of the management of diabetic foot ulcers in a tertiary institution

Antecedentes: La diabetes mellitus causa complica- ciones importantes, entre estas el pie diabético que se asocia a mayor riesgo de morbilidad y mortalidad. Objetivo: Describir las características y resultados del manejo de úlceras en pacientes con pie diabético de una institución terciaria. Métodos: Estudio retrospectivo descriptivo, llevado a cabo en Hospital de Especia- lidades, Instituto Hondureño de Seguridad Social, abril 2018-abril 2020. Se revisaron expedientes clínicos de pacientes con diag- nóstico de pie diabético. Resultados: La edad promedio de los pacientes fue 62.9 años, con una desviación estándar (DE) (+/- 10.8); de predominio masculino 77.5% (55/71). Un 79.0% (56/71) tenía antecedentes de más de 10 años de diagnóstico de diabe- tes mellitus tipo II. Según clasificación de Wagner fue Grado 3 en 50.7% (36/71). El 69.0% (49/71) presentaron una úlcera en región plantar pie izquierdo. El manejo fue con apósitos impregnados con solución de factor de crecimiento epidérmico y aceite ozonizado en 43.7% (31/71); los antibióticos administrados fueron clindamicina 71.8% (51/71) y ceftriaxone 55.7% (41/71). El número de desbrida- mientos fue entre 1-2 en 49.3% (35/71) y el número de curaciones realizadas entre 6-10 en 38.0% (27/71). El resultado terapéutico fue cierre total de la úlcera en 33.8% (24/71) y las complicaciones (amputación/infección) se presentaron en 16.9% (12/71). No se reportó mortalidad. Discusión: El paciente con diagnóstico de pie diabético es manejado en la institución con desbridamientos, cu- raciones y antibioticoterapia, logrando cierre total de la ulceración en un tercio de los casos, algunos casos se complican y finalizan en amputación, similares resultados reportado por otros autores...(AU)

Telemedicine for Diabetes in Norway.

Telemedicine can be useful for diabetes patients living remotely, especially during pandemic times. We aimed to identify current knowledge of the use of telemedicine for diabetes in Norway by conducting a review of the literature. Telemedicine is mostly beneficial, and it seems that it can be adopted into the usual diabetes care in Norway as a low-cost alternative.

Impact of "Defensive Medicine" on the Costs of Diabetes and Associated Conditions.

BACKGROUND: Geographic variation in health care spending is typically attributed to differences in patient health status and provider practice patterns. While medicolegal considerations (i.e., "defensive medicine") anecdotally impact health care spending, this phenomenon is difficult to measure. The purpose of this study was to explore the association between the medicolegal environment and Medicare costs for diabetes and associated conditions of interest to vascular surgeons. Specifically, we hypothesized that an adverse medicolegal environment is associated with higher per capita Medicare costs for diabetic patients. METHODS: Medicare data including the most recent (2018) Medicare Geographic Variation Public Use Files and Chronic Conditions Data Files were linked to National Practitioner Data Bank files from the preceding 5 years (2013-2017), in addition to the US census data and American Medical Association workforce statistics. The state-level medicolegal environment was characterized by K-means clustering across a panel of metrics related to malpractice payment magnitude and prevalence. Per capita Medicare spending for diabetes was compared across 5 distinct medicolegal environments. Costs were standardized and risk-adjusted to account for known geographic variation in health care costs and patient population. Analysis of variance was applied to unadjusted data, followed by multivariate regression modeling. Readmission rates, per capita imaging studies, per capita tests, per capita procedures, and lower extremity amputation rates were compared between the least litigious quintile from the K-means clustering and the 2 most litigious quintiles. RESULTS: The median unadjusted Medicare per capita expenditure on diabetic patients was $15,963 ($14,885-$17,673), ranging from $13,762 (Iowa) to $21,865 (D.C.). A 1.6-fold variation persisted after payment standardization. Cluster analysis based on malpractice-related variables yields 5 distinct medicolegal environments, based on litigation frequency and malpractice payment amounts. Per capita spending on diabetes varied, ranging from $15,799 in states with low payments and infrequent litigation to $18,838 in states with the most adverse medicolegal environment (P < 0.05). After cost standardization and risk adjustment with multiple linear regression, malpractice claim prevalence (per 100 physicians) remained an independent predictor of states with the highest diabetes mellitus spending (P = 0.022). Moreover, diabetic patients in states with adverse medicolegal environments had more procedures, imaging studies, and readmissions (P < 0.05 for all) but did not have significant differences in amputation rates compared to less litigious states. CONCLUSIONS: An adverse medicolegal environment is independently associated with higher health care costs but does not result in improved outcome (i.e. amputation rate) for diabetic Medicare beneficiaries. Across states, a 1% increase in lawsuits/100 physicians was associated with a >10% increase in risk-adjusted standardized per capita costs. These findings demonstrate the potential contribution of "defensive medicine" to variation in health care utilization and spending in a population of interest to vascular surgeons.

Association between telemedicine use and diabetes risk factor assessment and control in a primary care network.

PURPOSE: Our study examined whether telemedicine use in primary care is associated with risk factor assessment and control for patients with diabetes mellitus. METHODS: This was a retrospective, 1:1 propensity score matched cohort study conducted in a primary care network between February 2020 and December 2020. Participants included patients with diabetes mellitus, ages 18 to 75. Exposure of interest was any telemedicine visit. We determined whether hemoglobin A1c (HbA1c), blood pressure (BP) and low-density lipoprotein cholesterol (LDL-C) were assessed for each patient. For each risk factor, we also determined whether the risk factor was controlled when they were assessed (i.e., last HbA1c < 8.0%, BP < 130/80 mmHg, LDL-C < 100 mg/dL). RESULTS: After 1:1 propensity score matching, we identified 1,824 patients with diabetes during the study period. Telemedicine use was associated with a lower proportion of patients with all three risk factors assessed (162/912 [18%], versus 408/912 [45%], p < 0.001). However, when individual risk factors were assessed, telemedicine use did not impact risk factor control. When compared with patients with in-person visit only, the odds ratio (OR) for HbA1c < 8% was 1.04 (95% CI 0.74 to 1.46, p = 0.23) for patients with any telemedicine visit. Similarly, the OR for BP < 130/80 mmHg was 1.08 (95% CI 0.85-1.36 p = 0.53), and the OR for LDL-C < 100 mg/dL was 1.14 (95% CI 0.76-1.72, p = 0.52). CONCLUSIONS: Telemedicine use was associated with gaps in risk factor assessment for patients with diabetes during the COVID-19 pandemic, but had limited impact on whether risk factors were controlled.

Effects of diabetes mellitus on left ventricular function and remodeling in hypertensive patients with heart failure with reduced ejection fraction: assessment with 3.0 T MRI feature tracking.

BACKGROUND: Heart failure with reduced ejection fraction (HFrEF) is a major health burden worldwide with high morbidity and mortality. Comorbidities of HFrEF complicate treatment and lead to poor prognosis, among which hypertension (HTN) and diabetes mellitus (DM) are common and frequently cooccur. DM was found to have additive effects on cardiac function and structure in hypertensive patients, while its effects on the HFrEF cohort in the context of HTN remain unclear. METHODS: A total of 171 patients with HFrEF were enrolled in our study, consisting of 51 HFrEF controls, 72 hypertensive HFrEF patients (HTN-HFrEF [DM-]) and 48 hypertensive HFrEF patients with comorbid DM (HTN-HFrEF [DM+]). Cardiac MRI-derived left ventricular (LV) strains, including global radial (GRPS), circumferential (GCPS) and longitudinal (GLPS) peak strain, and remodeling parameters were measured and compared among groups. The determinants of impaired LV function and LV remodeling in HFrEF patients were investigated by multivariable linear regression analyses. RESULTS: Despite a similar LV ejection fraction, patients in the HTN-HFrEF (DM+) and HTN-HFrEF (DM-) groups showed a higher LV mass index and LV remodeling index than those in the HFrEF control group (all p < 0.05). Compared with the HTN-HFrEF (DM-) and HFrEF control groups, the HTN-HFrEF (DM+) group exhibited the most severe GLPS impairment (p < 0.001). After adjustment for covariates in HFrEF patients, DM was found to be an independent determinant of impaired LV strains in all three directions (GRPS [ß = - 0.189; p = 0.011], GCPS [ß = 0.217; p = 0.005], GLPS [ß = 0.237; p = 0.002]). HTN was associated with impaired GLPS (ß = 0.185; p = 0.016) only. However, HTN rather than DM was associated with LV remodeling in HFrEF patients in the multivariable regression analysis (p < 0.05). CONCLUSIONS: DM aggravated LV longitudinal dysfunction in hypertensive HFrEF patients without further changes in LV remodeling, indicating that HFrEF patients with comorbid HTN and DM may have a hidden high-risk phenotype of heart failure that requires more advanced and personalized management.

Assessment of liver fibrosis using non-invasive screening tools in individuals with diabetes mellitus and metabolic syndrome.

Despite its rising prevalence, and its potential to lead to life threatening complications, there are no recommendations in the current guidelines for screening individuals with diabetes mellitus or high BMI for NAFLD(non-alcoholic fatty liver disease)/NASH (non alcoholic steatohepatitis),mainly due to the uncertain performance and feasibility of currently available screening tools. This research was carried out to assess the diagnostic accuracy of non-invasive screening tools in predicting liver fibrosis in individuals with diabetes mellitus and metabolic syndrome. MATERIAL: 140 patients with diabetes mellitus and metabolic syndrome, identified between March 2020 and October 2021 were studied. Liver stiffness measurement by point shear wave elastography was considered the gold standard. 5 non-invasive scores, AST/ALT (aspartate aminotransferase/alanine aminotransferase) Ratio, Aspartate aminotransferase/platelet ratio (APRI)Score, FIB-4 Index, BARD Score and NAFLD Fibrosis Score were determined in all of the study participants. Using receiver operator characteristic (ROC) curve analysis, sensitivity, specificity, negative predictive value (NPV) and positive predictive value (PPV) were calculated for each of these scores. The area under the ROC curve (AUROC) was used to calculate the diagnostic accuracy of these scores. OBSERVATION: Out of the140 participants in the study, (83 males (59.29%)), 30 (21.43%) had liver fibrosis as per liver stiffness measurement by point shear wave elastography. The mean age and mean BMI were 54.53±12.42 and 27.37±2.73 respectively in the 'Fibrosis' group and 56.20 ±11.76 and 27.10±4.22 in the 'No fibrosis' group. The major finding of our study was that all these scores had relatively high NPV (>85 %) for predicting liver fibrosis in our cohort. The AST/ALT Ratio had the highest negative predictive value (90.28 %) followed by APRI Score (88.94 %). The AUROC (for FIB-4 Score, NAFLD-Fibrosis Score, APRI Score, AST/ALT Ratio, BARD Score were 0.6669, 0.657, 0.655, 0.637 and 0.599 respectively. FIB-4 Index(p = 0.005) had the highest AUROC, followed by NAFLD-Fibrosis Score(p =0.009) .But, all the scores had relatively low specificity(<60 %), PPV(<35 %) and accuracy(<63 %). CONCLUSION: FIB- 4 Index and NAFLD-Fibrosis Score can be used to reliably exclude liver fibrosis in individuals with diabetes mellitus and metabolic syndrome in the Indian population, but may not be useful in accurately diagnosing liver fibrosis. Utilization of these non-invasive and cost-effective screening tools in routine practice, may have promising results in predicting liver fibrosis in 'at risk' populations.

Health care effects and medical benefits of a smartphone-based diabetes self-management application: study protocol for a randomized controlled trial.

BACKGROUND: Diabetes self-management is a mainstay of diabetes care, but the implementation of self-management regimens into daily life is complex and often results in discouragement and distress. Modern approaches such as smartphone-based self-management applications are therefore needed to support people with diabetes. Since reimbursability would increase the availability of such digital applications to people with diabetes, we designed a study that meets all scientific and methodological requirements set by the German Digital Healthcare Act to allow reimbursement for a specific application (mySugr PRO). Here, we report the protocol of this study that aims at evaluating the efficacy of the digital self-management application with regard to patient-reported outcomes and medical benefits. METHODS/DESIGN: This multicenter, open-label, randomized, parallel-group, controlled trial will evaluate the health care effects and medical benefits of mySugr PRO. A total of 466 people with diabetes will be randomly allocated (2:1 randomization) to the interventional group (n = 311) that will use the digital self-management application during the 12-week study period or the control group (n = 155; no usage of the application). Baseline and follow-up examinations will assess diabetes distress as the primary endpoint as well as empowerment, HbA1c, blood glucose data, self-management, general well-being, and treatment satisfaction as secondary endpoints. Statistical analyses will use an intention-to-treat procedure (using multiple imputation for missing values) as well as a per-protocol approach for sensitivity analysis. DISCUSSION: To the best of our knowledge, this study will be one of the largest diabetes-specific evaluations of a digital health application supporting people with diabetes in their diabetes self-management that follow the requirements of the German Digital Healthcare Act. TRIAL REGISTRATION: German Clinical Trial Register DRKS00022923 . Registered on 22 October 2020.