Objective To observe the functional state of the optic nerve and discover the injury of visual pathway function in time under general ane sthesia. The flash visual evoked potential (F-VEP) was used to monitor visual function during orbital surgery. Methods A total of 252 out of 282 patients undergoing orbital surgery under general anesthesia were successfully monitored by F-VEP during the surgery. All patients were monitored by this method under the following conditions:consious state before operation, under general anaesthesia, during and after dissection of orbital tumor and at the end of operation. Results ①There was no significant difference of wave amplitude and latency under general anesthesia and consciousness condition. ②The amplitude and latency of F-VEP were normal in the orbital surgery withou toptic nerve injury. ③Pulling and oppression of optic nerve could cause temporary wave loss, but the wave recovered after removal of the pull and oppression. ④ The wave loss of F-VEP would occur immedicately when optic nerve was severe injured and its blood supply was deficient. Since the application of the visual function monitoring, 24 cases were treated in time during disturbance of visual function and no patient has unexpected visual loss during orbital surgery. Conclusion The intraoperative monitoring of F-VEP during orbital surgery can decrease the proportion of permanent visual loss caused by orbit al surgery, and help the surgical procedures go to function-anatomy stage from experience-anatomy stage. (Chin J Ocul Fundus Dis, 2001,17:260-263)
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 sedative and analgesic efficacy and adverse effect of dexmedetomidine versus propofol on the postoperative patients in intensive care unit (ICU). Methods The relevant randomized controlled trials (RCTs) were searched in The Cochrane Library, MEDLINE, PubMed, SCI, SpringerLinker, ScinceDirect, CNKI, VIP, WanFang Data and CBM from the date of their establishment to November 2011. The quality of the included studies was evaluated after the data were extracted by two reviewers independently, and then the meta-analysis was performed by using RevMan 5.1. Results Ten RCTs involoving 793 cases were included. The qualitative analysis results showed: within a certain range of dosage as dexmedetomidine: 0.2-2.5 μg/(kg·h), and propofol: 0.8-4 mg/(kg·h), dexmedetomidine was similar to propofol in sedative effect, but dexmedetomidine group needed smaller dosage of supplemental analgesics during the period of sedative therapy. The results of meta-analysis showed: the percentage of patients needing supplemental analgesics in dexmedetomidine group was less than that in propofol group during the period of sedative therapy (OR=0.24, 95%CI 0.08 to 0.68, P=0.008). Compared with the propofol group, the duration of ICU stay was significantly shorter in the dexmedetomidine group (WMD= –1.10, 95%CI –1.88 to –0.32, P=0.006), but the mechanical ventilated time was comparable between the two groups (WMD=0.89, 95%CI –1.15 to 2.93, P=0.39); the incidence of adverse effects had no significant difference between two groups (bradycardia: OR=3.57, 95%CI 0.86 to 14.75, P=0.08; hypotension: OR=1.00, 95%CI 0.30 to 3.32, P=1.00); respiratory depression seemed to be more frequently in propofol group, which however needed further study. Mortalities were similar in both groups after the sedative therapy (OR=1.03, 95%CI 0.54 to 1.99, P=0.92). Conclusion Within an exact range of dosage, dexmedetomidine is comparable with propofol in sedative effect. Besides, it has analgesic effect, fewer adverse effects and fewer occurrences of respiratory depression, and it can save the extra dosage of analgesics and shorten ICU stay. Still, more larger-sample, multi-center RCTs are needed to provide more evidence to support this outcome.
ObjectiveTo investigate the incidence and trendency of healthcare-associated infections (HAIs) in a pediatric intensive care unit (ICU) of a hospital, identify the main objectives of infection control, and formulate corresponding preventive and control measures.MethodsA prospective targeted monitoring method was adopted to investigate HAIs in the pediatric ICU of a hospital from January 2013 to December 2018.ResultsFrom January 2013 to December 2018, the number of target ICU patients was 11 898, the number of patient-days was 55 159; 226 HAIs occurred, the HAI case rate was 1.90%, the incidence of HAI per 1 000 patient-days was 4.10‰, and the adjusted incidence of HAI per 1 000 patient-days was 1.21‰. The main infection site was respiratory tract [83 cases (36.7%)], with ventilator-associated pneumonia in 73 cases (32.3%); secondly, 69 patients (30.5%) had bloodstream infection, among which 48 (21.2%) had non-catheter-related bloodstream infection.ConclusionHospital targeted monitoring is helpful to grasp the situation and trend of HAIs, define the main target of infection control, and formulate corresponding preventive and control measures, which can effectively reduce the incidence of HAIs.
ObjectiveTo investigate the psychological states and their influencing factors in parents of congenital defect neonates admitted to Intensive Care Unit (ICU). MethodsThe self-designed general information questionnaire was used to collect the demographic data, and self-rating anxiety scale (SAS) and self-rating depression scale (SDS) were used to evaluate the states of anxiety and depression of the parents of congenital defect neonates admitted to ICU between June 1 and November 29, 2013. ResultsA total of 152 parents were included in this investigation. The average score of SAS was 39.45±8.53. The average score of SDS was 43.28±10.76. Univariate analysis found that parents with lower educational level, poorer family income, positive family history and countryside residence might have higher score of SAS, while parents with Han nationality, poorer family income and family history would have higher score of SDS. Multivariate analysis discovered that living condition and family history were related to anxiety status. However, depression state was influenced by nationality, family income and family history. ConclusionA considerable number of parents of congenital defect neonates admitted to ICU have anxiety or depression. And nationality, family income, family history and living condition are the major risk factors.
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.
Objective To retrospectively analyze the clinical characteristics of different lactate trajectories in sepsis patients receiving mechanical ventilation (MV) and to investigate their associations with acute kidney injury (AKI) and in-hospital death risk, aiming to provide references for early renal protection in critically ill sepsis patients. Methods Data from sepsis patients receiving MV were extracted from the Medical Information Mart for Intensive Care Ⅳ (MIMIC-Ⅳ) database. The daily mean lactate values over the first 10 days were calculated. The latent class trajectory model (LCTM) was used to identify lactate trajectories over time and group the patients accordingly. AKI was the primary outcome measure, while in-hospital death was the secondary outcome measure. Logistic regression and Cox regression analyses were used to explore the associations between different lactate trajectories and these outcomes. Kaplan-Meier curves were drawn to compare in-hospital death risks among different lactate trajectory groups. Results A total of 2 062 MV-treated sepsis patients were included. After LCTM analysis, 1 396 patients were classified into the low lactate trajectory group, 451 into the moderate lactate trajectory group, and 215 into the high lactate trajectory group. After adjusting for confounding factors, the high lactate trajectory group was associated with an increased risk of AKI and in-hospital death (P<0.05). Conclusions In sepsis patients receiving MV, those with high lactate trajectories have a higher risk of AKI. Lactate trajectory changes can serve as an early assessment indicator for AKI and mortality risk in critically ill sepsis patients.