RESUMEN
Aim: To investigate the impact of teleconsultation on glycemic control in patients with diabetes during the COVID-19 pandemic. Methods: In this observational prospective study, the main outcome was the comparison of glycated hemoglobin (HbA1c) between patients with or without teleconsultation at 6-month follow-up. Results: From March 17 to May 31, 2020, 610 patients were included, 456 were followed-up using Teleconsultation présent (TC+) and 154 not using No Teleconsultation (TC-). Patients of TC+ Group were younger, 57 ± 17 versus 65 ± 15.5 years (p < 0.001), with a lower body mass index, 28 ± 6.2 kg/m2 versus 30 ± 5.8 kg/m2, compared to those of TC- Group (p < 0.001). HbA1c were comparable between the two groups: 7.35 ± 0.27% for TC+ versus 7.48 ± 0.22% for TC- Group. At 6-month follow-up, HbA1c was lower in TC+ versus TC- Group: 7.21 ± 0.15% versus 7.6 ± 0.18% (p = 0.004). Conclusion: Our findings point toward the feasibility and usefulness of teleconsultation for the follow-up of patients with diabetes in such exceptional circumstances.
Asunto(s)
COVID-19 , Diabetes Mellitus , Consulta Remota , Telemedicina , Humanos , COVID-19/epidemiología , Estudios Prospectivos , Hemoglobina Glucada , Pandemias , Diabetes Mellitus/epidemiología , Diabetes Mellitus/terapiaRESUMEN
BACKGROUND: Errors in address geocodes may affect estimates of the effects of air pollution on health. OBJECTIVE: We investigated the impact of four geocoding techniques on the association between urban air pollution estimated with a fine-scale (10 m × 10 m) dispersion model and lung function in adults. METHODS: We measured forced expiratory volume in 1 sec (FEV1) and forced vital capacity (FVC) in 354 adult residents of Grenoble, France, who were participants in two well-characterized studies, the Epidemiological Study on the Genetics and Environment on Asthma (EGEA) and the European Community Respiratory Health Survey (ECRHS). Home addresses were geocoded using individual building matching as the reference approach and three spatial interpolation approaches. We used a dispersion model to estimate mean PM10 and nitrogen dioxide concentrations at each participant's address during the 12 months preceding their lung function measurements. Associations between exposures and lung function parameters were adjusted for individual confounders and same-day exposure to air pollutants. The geocoding techniques were compared with regard to geographical distances between coordinates, exposure estimates, and associations between the estimated exposures and health effects. RESULTS: Median distances between coordinates estimated using the building matching and the three interpolation techniques were 26.4, 27.9, and 35.6 m. Compared with exposure estimates based on building matching, PM10 concentrations based on the three interpolation techniques tended to be overestimated. When building matching was used to estimate exposures, a one-interquartile range increase in PM10 (3.0 µg/m3) was associated with a 3.72-point decrease in FVC% predicted (95% CI: -0.56, -6.88) and a 3.86-point decrease in FEV1% predicted (95% CI: -0.14, -3.24). The magnitude of associations decreased when other geocoding approaches were used [e.g., for FVC% predicted -2.81 (95% CI: -0.26, -5.35) using NavTEQ, or 2.08 (95% CI -4.63, 0.47, p = 0.11) using Google Maps]. CONCLUSIONS: Our findings suggest that the choice of geocoding technique may influence estimated health effects when air pollution exposures are estimated using a fine-scale exposure model.