335 例术后全身炎症反应综合征的临床分析

目的】了解手术创伤对术后全身炎症反应综合征(SIRS)的影响。【方法】搜集外科重症监护室(SICU)335 例 患者的术后资料, 分析不同手术组SIRS 发病率;手术时间、失血量与SIRS 持续时间的关系;SIRS 持续时间与术后并发症的关 系。【结果】术后SIRS 发病率为75.8 %, 大手术高达92.4 %;无并发症患者失血量与SIRS 持续时间呈正相关(r 1=0.783, P <0.01), 手术时间与SIRS 持续时间呈正相关(r 2=0.398, P <0.01);随着SIRS 持续时间延长, 并发症发病率显著增高(

外科加强医疗病区耐甲氧西林金黄色葡萄球菌感染的分析

目的: 通过分析我院外科加强医疗病区( SICU)感染耐甲氧西林金黄色葡萄球菌( MRSA)患者的资料, 总结引起 MRSA 感染的危险因素。方法: 回顾性调查1996年 1 月～ 1998年 12月入 SICU 的 1 069例患者资料, 按感染细菌分为MRSA 组和 非MRSA 组,比较两组的发病率及病死率; 比较两组患者在 ICU 住院时间、广谱抗生素应用、血清白蛋白含量的差异,计算各因素 的优势比( OR)。结果: MRSA 20例,非MRSA 57例,MRSA 感染患者病死率为非MRSA 的 1. 9倍, P <0. 05; MRSA 感染相关因素有 ICU 住院时间(P =0. 03,OR=2. 52)、广谱抗生素的应用(P =0. 04,OR=16. 10) 、低白蛋白血症(P =0. 01, OR=2. 34)。结论: MRSA 感染病死率高,ICU 住院时间长、应用广谱抗生素、低白蛋白血症是引起MRSA 感染的危险因素

Prediction of Energy Resolution in the JUNO Experiment

International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors