RESUMO
BACKGROUND: Hypoxemia is a relatively common complication in stable patients during fiberoptic bronchoscopy (FOB). To prevent this complication, high-flow nasal cannula (HFNC) has been described as an alternative to standard oxygen therapy. However, the advantages of HFNC over standard oxygen therapy in acute care patients receiving supplemental oxygen before FOB performed with an oral approach are unknown. METHODS: We conducted an observational study that involved subjects with a presumptive diagnosis of pneumonia and a clinical indication for a bronchial aspirate sample. The type of oxygen support (standard oxygen therapy vs HFNC) was selected according to availability. The oxygen flow in the HFNC group was 60 L/min. In both groups, the FIO2 was set at 0.40. Hemodynamic, respiratory dynamics, and gas exchange data were collected at baseline, before, during, and 24 h after FOB. RESULTS: Forty subjects were included, 20 in each group (HFNC and standard oxygen therapy). The study was performed on day 5 of hospitalization in the HFNC group and on day 4 in the standard oxygen therapy group (P = .10). No significant between-group differences in baseline characteristics were observed. HFNC vs standard oxygen therapy was associated with a smaller decrease in SpO2 levels during the procedure (94% vs 90%; P = .040, respectively) and with less variation between the last SpO2 measured before FOB and the lowest SpO2 during FOB (Δ SpO2 ): 2% versus 4.5% (P = .01, respectively). CONCLUSIONS: In acute subjects who required oxygen support before FOB, the use of HFNC during FOB with an oral approach was associated with a smaller decrease in SpO2 and lower Δ SpO2 compared with standard oxygen therapy.
Assuntos
Ventilação não Invasiva , Insuficiência Respiratória , Humanos , Oxigênio/uso terapêutico , Cânula , Broncoscopia , Saturação de Oxigênio , Oxigenoterapia/métodos , Insuficiência Respiratória/terapia , Ventilação não Invasiva/métodosRESUMO
The COVID-19 pandemic highlighted health systems vulnerabilities, as well as thoughtlessness by governments and society. Due to the nature of this contingency, the use of geographic information systems (GIS) is essential to understand the SARS-CoV-2 distribution dynamics within a defined geographic area. This work was performed in Tepic, a medium-sized city in Mexico. The residence of 834 COVID-19 infected individuals was georeferenced and categorized by viral load (Ct). The analysis took place during the maximum contagion of the first four waves of COVID-19 in Mexico, analyzing 158, 254, 143, and 279 cases in each wave respectively. Then heatmaps were built and categorized into five areas ranging from very low to very high risk of contagion, finding that the second wave exhibited a greater number of cases with a high viral load. Additionally, a spatial analysis was performed to measure urban areas with a higher risk of contagion, during this wave this area had 19,203.08 km2 (36.11% of the city). Therefore, a kernel density spatial model integrated by meaningful variables such as the number of infected subjects, viral load, and place of residence in cities, to establish geographic zones with different degrees of infection risk, could be useful for decision-making in future epidemic events.