RESUMEN
As a newly developed technique for hemodynamic monitoring, pulse contour cardiac output (PiCCO) monitoring takes great advantages in guiding shock resuscitation and fluid administration. PiCCO has been used more and more in burn patients in recent years, however there is no clinic consensus on how to apply PiCCO monitoring, understand the significance of PiCCO monitored parameters, and guide the treatment using PiCCO monitored parameters in patients with severe burns. Based on the current literature and the experts' clinical experience, (2018 ) is now issued by the Burn and Trauma Branch of Chinese Geriatrics Society, aiming to provide practical guidance for its usage in clinic.
Asunto(s)
Humanos , Quemaduras , Terapéutica , Gasto Cardíaco , Consenso , Fluidoterapia , Hemodinámica , Monitoreo Fisiológico , Métodos , Estándares de Referencia , Resucitación , Choque , TerapéuticaRESUMEN
As a newly developed technique for hemodynamic monitoring, pulse contour cardiac output (PiCCO) monitoring takes great advantages in guiding shock resuscitation and fluid administration. PiCCO has been used more and more in burn patients in recent years, however there is no clinic consensus on how to apply PiCCO monitoring, understand the significance of PiCCO monitored parameters, and guide the treatment using PiCCO monitored parameters in patients with severe burns. Based on the current literatures and the experts' clinical experience, (2018 ) is now issued by the Burn and Trauma Branch of Chinese Geriatrics Society, aiming to provide practical guidance for its usage in clinic.
Asunto(s)
Humanos , Quemaduras , Terapéutica , Gasto Cardíaco , Consenso , Fluidoterapia , Hemodinámica , Monitoreo Fisiológico , Métodos , Estándares de Referencia , Resucitación , Choque , TerapéuticaRESUMEN
Objective: To analyze the spatial distribution and identify the high risk areas of pulmonary tuberculosis at the township level in Beijing during 2005-2015. Methods: Data on pulmonary tuberculosis cases was collected from the tuberculosis information management system. Global autocorrelation analysis, local indicators of spatial association and Kulldorff's Scan Statistics were applied to map the spatial distribution and detect the space-time clusters of the pulmonary tuberculosis cases during 2005-2015. Results: Spatial analysis on the incidence of pulmonary tuberculosis at the township level demonstrated that the spatial autocorrelation was positive during the study period. The values of Moran's I ranged from 0.224 3 to 0.291 8 with all the P values less than 0.05. Hotspots were primarily distributed in 8 towns/streets as follows: Junzhuang, Wangping, Yongding and Tanzhesi in Mentougou district, Yancun in Fangshan district, Wangzuo town in Fengtai district, Tianqiao street in Xicheng district and Tianzhu town in Shunyi district. Spatiotemporal clusters across the entire study period were identified by using Kulldorff's spatiotemporal scan statistic. The primary cluster was located in Chaoyang and Shunyi districts, including 17 towns/streets, as follows: Cuigezhuang, Maizidian, Dongfeng, Taiyanggong, Zuojiazhuang, Hepingjie, Xiaoguan, Xiangheyuan, Dongba, Jiangtai, Wangjing, Jinzhan, Jiuxianqiao, Laiguangying, Sunhe towns/streets in Chaoyang district, Houshayu and Tianzhu town in Shunyi district, during January to December 2005. Conclusion: Incidence rates of pulmonary tuberculosis displayed spatial and temporal clusterings at the township level in Beijing during 2005-2015, with high risk areas relatively concentrated in the central and southern parts of Beijing.