Objective To identify the predictors for readmission in the ICU among cardiac surgery patients. Methods We conducted a retrospective cohort study of 2 799 consecutive patients under cardiac surgery, who were divided into two groups including a readmission group (47 patients, 27 males and 20 females at age of 62.0±14.4 years) and a non readmission group (2 752 patients, 1 478 males and 1 274 females at age of 55.0±13.9 years) in our hospital between January 2014 and October 2016. Results The incidence of ICU readmission was 1.68% (47/2 799). Respiratory disorders were the main reason for readmission (38.3%).Readmitted patients had a significantly higher in-hospital mortality compared to those requiring no readmission (23.4% vs. 4.6%, P<0.001). Logistic regression analysis revealed that pre-operative renal dysfunction (OR=5.243, 95%CI 1.190 to 23.093, P=0.029), the length of stay in the ICU (OR=1.002, 95%CI 1.001 to 1.004, P=0.049), B-type natriuretic peptide (BNP) in the first postoperative day (OR=1.000, 95%CI 1.000 to 1.001, P=0.038), acute physiology and chronic health evaluationⅡ (APACHEⅡ) score in the first 24 hours of admission to the ICU (OR=1.171, 95%CI 1.088 to1.259, P<0.001), and the drainage on the day of surgery (OR=1.001, 95%CI1.001 to 1.002, P<0.001) were the independent risk factors for readmission to the cardiac surgery ICU. Conclusion The early identification of high risk patients for readmission in the cardiac surgery ICU could encourage both more efficient healthcare planning and resources allocation.
The intensive care unit (ICU) is a highly equipment-intensive area with a wide variety of medical devices, and the accuracy and timeliness of medical equipment data collection are highly demanded. The integration of the Internet of Things (IoT) into ICU medical devices is of great significance for enhancing the quality of medical care and nursing, as well as for the advancement of digital and intelligent ICUs. This study focuses on the construction of the IOT for ICU medical devices and proposes innovative solutions, including the overall architecture design, devices connection, data collection, data standardization, platform construction and application implementation. The overall architecture was designed according to the perception layer, network layer, platform layer and application layer; three modes of device connection and data acquisition were proposed; data standardization based on Integrating the Healthcare Enterprise-Patient Care Device (IHE-PCD) was proposed. This study was practically verified in the Chinese People’s Liberation Army General Hospital, a total of 122 devices in four ICU wards were connected to the IoT, storing 21.76 billion data items, with a data volume of 12.5 TB, which solved the problem of difficult systematic medical equipment data collection and data integration in ICUs. The remarkable results achieved proved the feasibility and reliability of this study. The research results of this paper provide a solution reference for the construction of hospital ICU IoT, offer more abundant data for medical big data analysis research, which can support the improvement of ICU medical services and promote the development of ICU to digitalization and intelligence.
呼吸机相关肺炎( VAP) 是指应用机械通气治疗后48 h和停用机械通气拔除人工气道48 h 内发生的肺实质的感染性炎症。VAP 是机械通气治疗中常见的严重并发症。其发生率为9% ～70% [ 1] , 病死率高达20% ～71% [ 2, 3 ] 。依据其发生的时间可分为早发性VAP 和晚发性VAP。早发性VAP: 即气管插管或人工气道建立lt; 5 d 发生者, 约占VAP的1/2, 主要由插管时即定植于呼吸道内的病原体如肺炎链球菌、甲氧西林敏感金黄色葡萄球菌、流感嗜血杆菌等引起。晚发性VAP: 即气管插管或人工气道建立gt;5 d 发生者, 常由肠道革兰阴性细菌如肠杆菌科、不动杆菌属和假单胞菌属细菌所致。采取有效措施预防VAP 的发生, 对于降低病死率, 减少住院时间和医疗费用, 节约医疗资源具有重要的意义。按照随机对照临床试验中的预防措施可总分为非药物性措施与药物性措施。
目的 总结同理心在冠心病重症监护室（CCU）患者家属沟通中的应用及效果。 方法 选择2010年4月－5月入住CCU的患者100例，按入院先后顺序前50例设定为对照组，后50例设定为观察组；对照组采用传统常规方法与患者家属进行沟通，观察组应用同理心理念与患者家属沟通。观察两组患者家属在非探视时间到访次数、纠纷次数和CCU护理工作满意度情况。 结果 观察组患者家属较对照组在非探视时间到访次数、纠纷发生次数少，而满意度较对照组高，两组比较差异有统计学意义（P＜0.05）。 结论 应用同理心与CCU患者家属进行沟通，可增加医患间的理解和信任，减少非探视时间内家属到访次数，有利于维护医院正常的工作秩序，同时减少纠纷的发生，提高了护理服务满意度。
Objective To explore the nurses’ cognition of busyness in intensive care unit (ICU), summarize the main busy scenes, and provide strategies for solving problems of busyness. Methods Nurses in three ICU departments of Shanghai Oriental Hospital were selected by purpose sampling method from September 2020 to January 2021. Face-to-face semi-structured in-depth interviews were conducted with nurses. The interview data were analyzed and thematically refined using the method of Colaizzi data analysis. Results A total of 10 nurses were interviewed, including 8 general nurses and 2 head nurses, all of whom were women. The cognition of busyness covered three elements: explosively increased workload, time pressure, and overwhelming information from multiple sources. Busy scenes included four themes: large amount of patients, critical conditions of patients, unstable conditions of patients, and frequent service transfer among different medical divisions. Conclusions According to the three elements of nurses’ cognition of busyness and scenes of it, nursing managers can put forward corresponding solutions. This can retain or attract more nurses to work in ICU and provide better services for patients.
ObjectiveTo determine the effects of the management mode participated by doctors, nurses and patients on the safety of medical tubes for restlessness patients in the Neurosurgery Intensive Care Unit (NICU). MethodsA total of 133 restlessness patients treated between May 17 and November 22, 2013 were included in the study as control group, who were admitted to the NICU before application of the management mode participated by doctors, nurses and patients; another 119 restlessness patients treated between May 17 and November 22, 2014 were included in the study as research group, who were admitted to the NICU after application of the management mode participated by doctors, nurses and patients. Then we compared the accidental extubation situation between the two groups. ResultsThe accidental extubation rate of all kinds of medical tubes in the research group was lower than that in the control group, among which the extubation rate of urethral catheter (0.67% vs. 4.32%), gastric tube (2.26% vs. 10.14%), trachea cannula (1.08% vs. 7.84%), and arterial cannulation pipeline (1.12% vs. 6.93%) was significantly different between the two groups (P<0.05). ConclusionThe management mode participated by doctors, nurses and patients can effectively reduce the accidental extubation rate of medical tubes for restlessness patients, prevent the occurrence of adverse events and ensure the treatment and nursing safety in the NICU.
Objective To investigate the drug resistance and homogeneous analysis of Acinetobacter baumanii in emergency intensive care unit ( EICU) . Methods Four multidrug-resistant Acinetobacter baumannii ( MDR-Ab) strains isolated fromnosocomial inpatients fromJuly 25 to September 7 in 2009 were collected and tested for drug sensitivity and MIC determination as well. The A. baumannii isolates were typed with pulsed-field gel electrophoresis ( PFGE) to determine whether they derived fromthe same clone.Results Four isolates from nosocomial inpatients were resistant to multiple antibiotics including carbapenem. The PFGE types identified from four isolates were A and B. The A. baumannii isolates did not derived from the same clone. Conclusion The prevalence of nosocomial infection is not due to transmission of the same strains among different individuals in EICU.
ObjectiveTo explore the psychological pressure in Intensive Care Unit (ICU) nurses and the sources of their pressure. MethodWe investigated the ICU nurses in West China Hospital with a self-designed psychological pressure questionnaire from March to September 2013. ResultsThe total stress level of ICU nurses was 2.89±0.86. The top five sources were low salaries and welfare benefits (3.37±0.61), high frequency of night work (3.31±0.88), wide need of knowledge (3.22±0.41), heavy workload (3.20±0.80) and chronic fatigue syndrome (3.19±0.75). ConclusionsGreat psychological pressure exists in ICU nurses. We urgently need effective approaches to relieve the stress of ICU nurses in order to improve the efficiency and quality of nursing service.