Objective To investigate the correlation between monocyte-lymphocyte ratio (MLR) and intensive care unit (ICU) results in ICU hospitalized patients. Methods Clinical data were extracted from Medical Information Mart for Intensive Care Ⅲ database, which contained health data of more than 50000 patients. The main result was 30-day mortality, and the secondary result was 90-day mortality. The Cox proportional hazards model was used to reveal the association between MLR and ICU results. Multivariable analyses were used to control for confounders. Results A total of 7295 ICU patients were included. For the 30-day mortality, the hazard ratio (HR) and 95% confidence interval (CI) of the second (0.23≤MLR<0.47) and the third (MLR≥0.47) groups were 1.28 (1.01, 1.61) and 2.70 (2.20, 3.31), respectively, compared to the first group (MLR<0.23). The HR and 95%CI of the third group were still significant after being adjusted by the two different models [2.26 (1.84, 2.77), adjusted by model 1; 2.05 (1.67, 2.52), adjusted by model 2]. A similar trend was observed in the 90-day mortality. Patients with a history of coronary and stroke of the third group had a significant higher 30-day mortality risk [HR and 95%CI were 3.28 (1.99, 5.40) and 3.20 (1.56, 6.56), respectively]. Conclusion MLR is a promising clinical biomarker, which has certain predictive value for the 30-day and 90-day mortality of patients in ICU.
【摘要】 目的 探讨在重症监护病房（intonsive cane tmit，ICU）行选择性消化道脱污染（selective digestive decontamination，SDD）的临床实用价值。 方法 选取2007年1月—2010年1月危重症患者376例，随机分为两组，对照组予常规口腔护理治疗，治疗组予选择性消化道脱污染治疗，比较两组患者病情疗效的参数。 结果 治疗组院内获得性肺炎发生率为18.4%、院内获得性肺炎发生时间（7.2±3.2）d、人工气道（气管插管/切开）保留天数（10.5±3.8）d、机械通气天数（8.4±3.1）d、入住ICU天数（14.7±4.8）d、病死率11.6%；对照组院内获得性肺炎发生率为30.1%、院内获得性肺炎发生时间（5.6±3.6）d、人工气道（气管插管/切开）保留天数（12.5±4.6）d、机械通气天数（10.2±4.2）d、入住ICU天数（17.2±6.2）d、病死率19.4%；两组比较差异均有统计学意义（Plt;0.05）。 结论 在ICU内行选择性消化道脱污染可有效控制院内获得性肺炎，改善患者病情，减少住院天数，降低病死率。【Abstract】 Objective To discuss the clinical value of selective digestive decontamination in the intensive care unit (ICU). Methods From January 2007 to January 2010, 376 critically ill patients were randomly divided into two groups. Patients in the control group received conventional oral cavity nursing treatment, and those in the treatment group underwent the selective digestive decontamination. Then, we compared the curative effect parameters of these two kinds of procedures for the two groups of patients. Results For patients in the treatment group, the rate of hospital-acquired pneumonia (HAP) was 18.4%, the occurring time of HAP was (7.2±3.2) days, the time of retaining artificial gas channel (trachea cannula / incision) was (10.5±3.8) days, the time of mechanical ventilation was (8.4±3.1) days, ICU stay time was (14.7±4.8) days, and the mortality rate was 11.6%. For the control group, the correspondent parameters were respectively 30.1%, (5.6±3.6) days, (12.5±4.6) days, (10.2±4.2) days, (17.2±6.2) days, and 19.4%. The differences of these parameters between the two groups were significant (Plt;0.05). Conclusion For patients in the ICU, the selective digestive decontamination can effectively control the occurrence of HAP, improve patient conditions, reduce hospitalization time, and decrease mortality rate.
Antimicrobial stewardship (AMS) is an important means to control bacterial resistance. The unique situation of intensive care unit (ICU) poses a challenge to AMS. This article reviews the literature on AMS in the ICU at home and abroad in recent years, and summarizes the related measures of AMS. Effective AMS measures in the ICU include setting up a multidisciplinary AMS team, using rapid microbial diagnosis technology to shorten the time of diagnosis, using non-culture methods to assess the necessity of antimicrobial therapy for patients with suspected sepsis, and evaluating the effectiveness of antimicrobial therapy as early as possible and optimizing it. These initiatives aim to increase the rational use of antimicrobials in ICU, reduce the risk of multidrug-resistant infections, and improve patients’ condition.
ObjectiveTo carry out targeted surveillance on ventilator-associated pneumonia (VAP) newly defined by the Centers for Disease Control and Prevention of the United States in 2013, and to understand its applicability and influence on the prognosis, and infection rate and risk factors of the disease. MethodsTargeted surveillance was carried out on all patients receiving mechanical ventilation in the general ICU of our hospital between January and December 2014. VAP infection rate was studied, and patients were divided into groups based on the development of the disease. SPSS 18.0 was used for statistical analysis of the prognostic indicators. ResultsA total of 885 patients received mechanical ventilation and were monitored, 31 of whom had VAP. The VAP case infection rate was 3.5% and its daily infection rate was 3.9‰. The results of multiple factors regression analysis showed that age (OR=1.025, P=0.025) and combining other types of hospital infection (OR=4.874, P<0.001) were independent risk factors for the development of VAP. VAP was the independent risk factor for both length of stay in the ICU and length of mechanical ventilation (P<0.001), but it was not the independent risk factor for mortality in the ICU (P=0.515). ConclusionThe applicability of the newly defined ventilator-associated pneumonia may be under restrictions in developing countries. It may influence the outcomes of patients by prolonging the length of stay in ICU and the length of mechanical ventilation.
Medical device-related pressure injury (MDRPI) is a kind of pressure injury that occurs in the course of diagnosis and treatment, and its appearance is similar to that of medical device. Neonatal intensive care unit (NICU) infants are more likely to develop MDRPI than children and adults because of the physiological characteristics of skin and the influence of disease. At present, the occurrence of MDRPI in NICU infants is attracting worldwide attention. Its treatment and nursing consume a large amount of medical resources, which not only affect the outcome of the disease, but also increase the economic burden of the family and society. This article summarizes the MDRPI from three aspects: summary, influencing factors, and evaluation tools. It is expected that NICU nurses will carry out large sample clinical investigation of MDRPI in the future, so as to provide a reference for risk prediction model and risk assessment tools to identify high-risk infants and take effective measures in advance to reduce the incidence of MDRPI.
ObjectiveTo observe the effect of target monitoring on the patients with ventilator-associated pneumonia (VAP) in intensive care unit (ICU), analyze the risk factors and take effective measures to reduce the VAP occurrence. MethodsTarget monitoring was performed on patients with ventilator in ICU from January to July 2013 (observation group), and they were compared with those patients accepting general comprehensive monitoring in ICU from January to July 2012 (control group). The incidence of VAP was compared between the two groups. ResultsThe incidence of VAP in the observation group and the control group was 21.73‰ and 53.33‰, respectively. There was a significant difference between the observation group and the control group (P<0.05). ConclusionFor patients undergoing mechanical ventilation, target monitoring can control the risk factors and incidence of VAP, adjust the interference in time, and improve the curing rate.
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.