ObjectiveTo analyze the influencing factors of ventilator-associated pneumonia (VAP) in comprehensive intensive care units (ICUs) in a certain district of Shanghai, and to provide evidence for developing targeted measures to prevent and reduce the occurrence of VAP.MethodsThe target surveillance data of 1 567 inpatients with mechanical ventilation over 48 hours in comprehensive ICUs of 5 hospitals in the district from January 2015 to December 2017 were retrospectively analyzed to determine whether VAP occurred. The data were analyzed with SPSS 21.0 software to describe the occurrence of VAP in patients and to screen the influencing factors of VAP.ResultsThere were 133 cases of VAP in the 1 567 patients, with the incidence of 8.49% and the daily incidence of 6.01‰; the incidence of VAP decreased year by year from 2015 to 2017 (χ2trend=11.111, P=0.001). The mortality rate was 12.78% in VAP patients while was 7.25% in non-VAP patients; the difference was significant (χ2=5.223, P=0.022). A total of 203 pathogenic bacteria were detected in patients with VAP, mainly Gram-negative bacteria (153 strains, accounting for 75.37%). The most common pathogen was Pseudomonas aeruginosa. The single factor analysis showed that gender, age, Acute Physiology and Chronic Health Evaluation (APACHE) Ⅱ score, the length of ICU stay, and the length of mechanical ventilation were the influencing factors of VAP (χ2=9.572, 5.237, 34.759, 48.558, 44.960, P<0.05). Multiple logistic regression analysis found that women [odds ratio (OR)=1.608, 95% confidence interval (CI) (1.104, 2.340), P=0.013], APACHE Ⅱ score >15 [OR=4.704, 95%CI (2.655, 8.335), P<0.001], the length of ICU stay >14 days [OR=2.012, 95%CI (1.188, 3.407), P=0.009], and the length of mechanical ventilation >7 days [OR=2.646, 95%CI (1.439, 4.863), P=0.002] were independent risk factors of VAP.ConclusionsNosocomial infection caused by mechanical ventilation in this area has a downward trend, and the mortality rate of patients with VAP is higher. For the patients treated with mechanical ventilation in ICU, we should actively treat the primary disease, shorten the length of ICU stay and the length of mechanical ventilation, and strictly control the indication of withdrawal, thereby reduce the occurrence of VAP.
Objective To evaluate the effect of active screening and intervention of multidrug-resistant organisms (MDROs) on control nosocomial infection in the general intensive care unit (ICU). Methods A non-concurrent control trial was conducted in patients hospitalized in the ICU for more than 24 hours in the Second Affiliated Hospital of Fujian Medical University. Patients underwent active screening of MDROs for nasal vestibular swab, throat swab and rectal swab combined with further intensive intervention for patients with positive screening result during Sept. 2014 to Aug. 2015 were included as an intervention group, patients only underwent active screening during Sept. 2013 to Aug. 2014 were included as a screening group, and patients without undergoing active screening during Sept. 2012 to Aug. 2013 were as a control group. SPSS 19.0 software was used to compare the hospital infection rate and the infection rate of MDROs among the three groups. Results A total of 1 773 patients were included, of which 655 patients were in the intervention group, 515 patients were in the screening group, and 603 patients were in the control group. The difference of hospital infection rates among the three groups was statistically significant (χ2=21.087, P < 0.001), and further pairwise comparison results showed that the intervention group was lower than the screening group (χ2=5.891, P=0.015), and the screening group was lower than the control group (χ2=4.259, P=0.039). The adjustment daily infection rate of the intervention group, screening group and control group were 6.69‰, 10.88‰, and 15.39‰, respectively. The difference of MDROs hospital infection rates among the three groups was statistically significant (χ2=21.039, P < 0.001), and further pairwise comparison results showed that the intervention group was lower than the screening group (χ2=5.936, P=0.015), and the screening group was lower than the control group (χ2=5.798, P=0.016). The MDROs thousand daily infection rate of the intervention group was lower than that of the screening group (3.90‰ vs. 7.30‰, χ2=5.999, P=0.014). Conclusion The active screening plus intensive intervention of MDROs can effectively reduce the incidence rates of nosocomial infections and MDROs infections in ICU.
Objective To explore the effect of “net bottom” management in the control of device-associated infections (DAIs) in elderly patients by setting infection monitoring doctors and nurses in the emergency intensive care unit (EICU). Methods Elderly patients who aged≥60 years old admitted to the EICU of the First People’s Hospital of Lianyungang between April 2018 and March 2021 were selected as the research subjects. A “net bottom” management mode was established and implemented for the purpose of infection prevention and control, taking medical and other departments as the coordination and management subjects, and infection monitoring doctors and nurses as the core. The effectiveness of the management intervention was evaluated by comparing the incidences of DAIs in elderly patients, the compliance rates of medical staff in hand hygiene, and the consumption of hand sanitizer per bed day in EICU among the primary stage (from April 2018 to March 2019), intermediate stage (from April 2019 to March 2020), and later stage (from April 2020 to March 2021). Results During the primary stage, intermediate stage, and later stage, there were 540, 497, and 507 elderly inpatients in EICU monitored, respectively, and the incidences of nosocomial infections were 7.22% (39/540), 5.84% (29/497), and 4.14% (21/507), respectively, showing a decreasing trend (χ2trend=4.557, P=0.033). The incidences of ventilator-associated pneumonia, central line-associated bloodstream infections, and catheter-associated urinary tract infections decreased from 4.82‰, 2.53‰, and 0.95‰, respectively in the primary stage, to 0.51‰, 1.01‰, and 0.53‰, respectively in the later stage, among which the difference in the incidence of ventilator-associated pneumonia was statistically significant (P<0.05). The hand hygiene compliance rate of EICU medical staff increased from 70.39% to 86.67% (P<0.05), and the consumption of hand sanitizer per bed day increased from 33.70 mL to 67.27 mL. The quarterly hand hygiene compliance rate was positively correlated with the quarterly consumption of hand sanitizer per bed day (rs=0.846, P=0.001), and negatively correlated with the quarterly incidence of nosocomial infections (rs=–0.769, P=0.003). Conclusion The “net bottom” management by setting up infection monitoring doctors and nurses in the EICU and multi-department collaboration can reduce the incidence of DAIs in elderly patients in EICU, which plays a positive role in promoting the hospital infection management and improving the quality of hospital infection management.
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 systematically review the efficacy of ICU diaries on psychological outcomes, cognition and health-related quality of life in both patients and their relatives. MethodsThe PubMed, Embase, Web of Science, Cochrane Library, PsycINFO, CNKI, WanFang Data and VIP database were electronically searched to collect trails related to the objective from inception to August 2023. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. Meta-analysis was then performed using RevMan 5.3 software. ResultsA total of 17 studies involving 2 093 patients and 786 relatives were included. The results of meta-analysis showed that compared with the control group, ICU diaries could improve patients’ post-traumatic stress disorder (PTSD) (RR=0.64, 95%CI 0.50 to 0.83, P<0.01), depression (RR=0.65, 95%CI 0.48 to 0.89, P<0.01) and quality of life (MD=7.78, 95%CI 4.37 to 11.18, P<0.01) significantly. However, there were no significant differences in patients’ anxiety, memory and relatives’ psychological outcomes. ConclusionCurrent evidence shows that the use of ICU diaries can reduce the incidence rate of patients’ PTSD, depression and improve their quality of life, but other effects are unclear. Due to the limited quantity and quality of the included studies, more high-quality studies are needed to verify the above conclusion.
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.