Regional variability of glycemic control among adults with diabetes mellitus in Colombia.

Not available.

Supervivencia en las personas que viven con VIH en el marco del sistema de salud colombiano 2011-2018 / Survival in people living with HIV in the framework the Colombian health system: 2011-2018

Resumen Objetivo: Describir la supervivencia a siete años y los principales factores asociados a esta, en las personas con VIH que fueron atendidas en el sistema de salud colombiano entre 2011 a 2018. Métodos: Análisis de supervivencia de una cohorte de 64 039 personas diagnosticadas con VIH en Colombia. Se aplicó el método de Kaplan-Meier para estimar la probabilidad de supervivencia a partir de la fecha del diagnóstico. Se ajustó un modelo de supervivencia paramétrico flexible de Royston Parmar. Resultados: La estimación de la supervivencia global a 7 años fue de 94,8% (IC 95%: 94,5-95,2). El mayor riesgo de muerte se presentó en los hombres (HR: 1,2; IC 95%: 1,1-1,4; p: 0,010); en personas ≥50 años de edad (HR: 3,1; IC 95%: 1,6-6,3; p: 0,002); en el régimen subsidiado (HR: 2,2; IC 95%: 1,9-2,5; p: <0,001); en la etapa sida (HR: 2,8; IC 95%: 2,1-3,7; p: <0,001); en quienes presentaron la última carga viral detectable (HR: 7,1; IC 95%: 6,0-8,3; p: <0,001); y en quienes mostraron conteo de linfocitos T CD4+ <350 células/μL (HR: 1,9; IC 95%: 1,4-2,4; p: <0,001). Conclusión: La probabilidad de la supervivencia de las personas que viven con VIH aumenta al ser diagnosticados en edades jóvenes, en quienes presenten un recuento de linfocitos T CD4+ ≥350 células/μL, una carga viral indetectable (< 50 copias/mL) y no se encuentren en etapa sida.

Summary Objective: to describe the seven-year survival and predictors of mortality among people with HIV who were treated in the Colombian health system between 2011 and 2018. Methods: 64 039 people diagnosed with HIV in Colombia were included. Kaplan-Meier analysis estimated the probability of survival from the date of diagnosis. A Royston Parmar flexible parametric survival model was fitted. Results: The overall survival at 7 years was 94.8% (95% CI: 94.5-95.2). Survival was related to sex (men, HR: 1.2; 95% CI: 1.1-1.4; p: 0.010); people ≥50 years of age (HR: 3.1; 95% CI: 1.6-6.3; p: 0.002); subsidized regime (HR: 2.2; 95% CI: 1.9-2.5; p: <0.001); AIDS stage (HR: 2.8; 95% CI: 2.1-3.7; p: <0.001); a detectable viral load (HR: 7.1; 95% CI: 6.0-8.3; p: <0.001); and a CD4+ Lymphocyte count <350 cells/μL (HR: 1.9; 95% CI: 1.4-2.4; p: <0.001). Conclusion: The probability of survival of people living with HIV increases when they are diagnosed at a young age, in those with a CD4+ T Lymphocyte count ≥350 cells/μL, an undetectable viral load (<50 copies/mL) and are not in the AIDS stage.

National Cancer Information System Within the Framework of Health Insurance in Colombia: A Real-World Data Approach to Evaluate Access to Cancer Care.

PURPOSE: The National Cancer Information System (NCIS) has been operating since 2014, including information reported by health care insurers and providers on people with cancer diagnosed and treated within the Colombian health system. Its main purpose is to identify barriers to an effective access to cancer diagnosis and treatment across the country. We aimed to describe the methodology, scope and results in terms of access to health services with real-world data provided by the NCIS. METHODS: Reporting of all cases of cancer by insurers and providers is mandatory by law. Data gathered include demographic and clinical information about new and old cases of cancer who receive health services. Over the years, the reporting process has been automated and it is currently performed in real time. Data quality is ensured through a standardized data-monitoring process. Access to health services is monitored by quality measures defined by consensus. RESULTS: Since 2015, prevalent cases of invasive cancer have increased from 163,776 to 331,021 in 2020 (increment of 102.12%). Regarding quality measures, the proportion of people staged at diagnosis has increased over the years, especially in breast cancer. Meanwhile, early diagnosis is still concerning for breast and prostate cancer. Time to diagnosis and treatment have not consistently reached the expected goals in breast, cervical, and prostate cancer, whereas they have shown a better level of compliance for stomach and colon and rectum tumors, still not reaching the highest performance. CONCLUSION: The real-world information approach provided by the NCIS may be complementary for cancer control planning in Colombia, emphasizing better management processes of health insurers and providers by identifying barriers for timely access to health care.

Air pollution, sociodemographic and health conditions effects on COVID-19 mortality in Colombia: An ecological study.

OBJECTIVE: The present study aimed to determine the association between chronic exposure to fine particulate matter (PM2.5), sociodemographic aspects, and health conditions with COVID-19 mortality in Colombia. METHODS: We performed an ecological study using data at the municipality level. We used COVID-19 data obtained from government public reports up to and including July 17th, 2020. We defined PM2.5 long-term exposure as the 2014-2018 average of the estimated concentrations at municipalities obtained from the Copernicus Atmospheric Monitoring Service Reanalysis (CAMSRA) model. We fitted a logit-negative binomial hurdle model for the mortality rate adjusting for sociodemographic and health conditions. RESULTS: Estimated mortality rate ratios (MRR) for long-term average PM2.5 were not statistically significant in either of the two components of the hurdle model (i.e., the likelihood of reporting at least one death or the count of fatal cases). We found that having 10% or more of the population over 65 years of age (MRR = 3.91 95%CI 2.24-6.81), the poverty index (MRR = 1.03 95%CI 1.01-1.05), and the prevalence of hypertension over 6% (MRR = 1.32 95%CI1.03-1.68) are the main factors associated with death rate at the municipality level. Having higher hospital beds capacity is inversely correlated to mortality. CONCLUSIONS: There was no evidence of an association between long-term exposure to PM2.5 and COVID-19 mortality rate at the municipality level in Colombia. Demographics, health system capacity, and social conditions did have evidence of an ecological effect on COVID-19 mortality. The use of model-based estimations of long-term PM2.5 exposure includes an undetermined level of uncertainty in the results, and therefore they should be interpreted as preliminary evidence.

Space-time clustering of childhood leukemia in Colombia: a nationwide study.

BACKGROUND: Leukemia is the most common cancer in childhood. The estimated incidence rate of childhood leukemia in Colombia is one of the highest in America and little is known about its spatial distribution. PURPOSE: To explore the presence of space-time clustering of childhood leukemia in Colombia. METHODS: We included children less than 15 years of age with confirmed diagnosis of acute leukemia reported to the national surveillance system for cancer between 2009 and 2017. Kulldorff's spatio-temporal scan statistics were used with municipality and year of diagnosis as units for spatial and temporal analysis. RESULTS: There were 3846 cases of childhood leukemia between 2009 and 2017 with a specific mean incidence rate of 33 cases per million person-years in children aged 0-14 years. We identified five spatial clusters of childhood leukemia in different regions of the country and specific time clustering during the study period. CONCLUSION: Childhood leukemia seems to cluster in space and time in some regions of Colombia suggesting a common etiologic factor or conditions to be studied.