ABSTRACT
Objective:To explore the threshold and diagnostic value of Chinese version of the Chelsea Physical Function Assessment Tool (CPAx-Chi) for ICU acquired weakness(ICU-AW).Methods:To learn the details and precautions of the CPAx-Chi scale, and then two researchers used the CPAx-Chi scale and MRC-Score scale to independently evaluate 200 patients who come from a comprehensive ICU in a top first-class hospital in Gansu Province simultaneously. The best cut-off point and value of the CPAx-Chi scale in the diagnosis of ICU-AW were determined by calculating the Receiver Operating Characteristic (ROC) curve, the Youden index(YI) and the consistency test that are all based on the MRC-Score≤48.Results:The ROC Area Under Curve(AUC) of the CPAx-Chi scale diagnosis ICU-AW which based on the MRC-Score≤48 were as follows: ROC AUC of group A was 0.899 (95% CI 0.862-1.025); ROC AUC of group B was 0.874 (95% CI 0.824-0.925). When the best cut-off point of CPAx-Chi scale for diagnosis ICU-AW was 31.5, the maximum YI=0.643, the sensitivity was 87%, and the specificity was 77% in group A; and the maximum YI= 0.62, the sensitivity was 75%, and the specificity was 87% in group B. Meanwhile, when the best cut-off point of CPAx-Chi scale for diagnosis ICU-AW was 30.5, the maximum YI=0.62, the sensitivity was 79%, and the specificity was 83% in group B. Taking the CPAx -Chi≤31 as the best cut-off point, the score differences in ICU-AW group and the non-ICU-AW group were not detected, A group ( F value was 4.53, P=0.035) or B group ( F value was 6.51, P=0.011). The consistency of CPAx -Chi≤31 and MRC-Score≤48 in the diagnosis of ICU-AW was high, and the Kappa=0.845 ( P=0.02) in the group A; the Kappa=0.839( P=0.04) in the group B, and the group differences were detected. Conclusions:CPAx-Chi≤31 is the best cut-off point for diagnosing ICU-AW, and has good sensitivity and specificity. CPAx-Chi scale can be popularized and applied in the critical care medicine in China.
ABSTRACT
Objective:To evaluate the effect of early mobilization on mortality in intensive care unit (ICU) patients with mechanical ventilation after discharge by Meta-analysis.Methods:Databases including SinoMed, China National Knowledge Infrastructure (CNKI), Wanfang data, PubMed, the Cochrane Library, Web of Science, and Embase were searched from inception to September 17th, 2020, to collect randomized controlled trials (RCT) about early mobilization on mortality of patients with mechanical ventilation in ICU after discharge, the references included in the literature were traced. The control group was given routine care, the experimental group was given early mobilization on the basis of the control group, including passive or active mobilization on the bed, sitting on the bed, standing by the bed, transferring to the bedside chair and assisting walking. The literature screening, data extracting, and the bias risk assessment of included studies were conducted independently by two reviewers. Stata 12.0 software was then used to perform Meta-analysis. Funnel plot was used to test publication bias.Results:A total of 10 RCT studies involving 1 323 patients were included, with 660 patients in the control group and 663 patients in the experimental group. The results of literature quality evaluation showed that 7 studies were grade A and 3 studies were grade B, indicating that the overall quality of included literatures was high. The Meta-analysis results showed that early mobilization did not increase the mortality of patients with mechanical ventilation in ICU after discharge [odds ratio ( OR) = 0.92, 95% confidence interval (95% CI) was 0.75-1.13, P = 0.449]. Subgroup analysis results showed that early mobilization had a tendency to reduce the mortality of ICU patients with mechanical ventilation at 3, 6 and 12 months after discharge, but the difference was not statistically significant (3-month mortality: OR = 1.02, 95% CI was 0.74-1.40, P = 0.927; 6-month mortality: OR = 0.95, 95% CI was 0.70-1.27, P = 0.712; 12-month mortality: OR = 0.60, 95% CI was 0.33-1.10, P = 0.101). Funnel plot showed that the distribution of included literatures was not completely symmetrical, suggesting that publication bias might exist. Conclusions:Early mobilization does not increase the mortality of ICU patients with mechanical ventilation after discharge. Although it tends to have a favorable outcome in reducing mortality, and has a trend to reduce the mortality. However, due to the small number of included literatures, small sample size and differences in the specific implementation of early mobilization among various studies, a large number of high-quality RCT studies are still needed for further verification.
ABSTRACT
Objective To systematically evaluate the efficacy of high-flow nasal cannulae oxygen (HFNC) in patients with respiratory failure.Methods Computerized PubMed, Embase, Web of Science, the Cochrane Library, CNKI, CBM, VIP, Wanfang Database up to March 31st, 2017, all published available randomized controlled trials (RCTs) or cohort studies about HFNC therapy for patients with respiratory failure were searched. The control group was treated with face mask oxygen therapy (FM) or non-invasive positive pressure ventilation (NIPPV), while the experimental group was treated with HFNC. The main outcomemeasurements included endotracheal intubation rate, patient comfort, and the secondary outcome was in-hospital mortality. The quality of the literature was completed by two professionally trained evidence-based medical students, and meta-analysis was performed on quality-compliant literature. Funnel plot was used to analyze the publication bias.Results A total of 17 articles were enrolled including 15 RCTs and 2 cohort studies. There were 3909 patients enrolled, 1907 patients in HFNC group, and 2002 in control group (1068 patients with FM, and 934 with NIPPV). Meta-analysis showed that HFNC had a significant advantage over FM in reducing the tracheal intubation rate of patients with respiratory failure [odds ratio (OR) = 0.51, 95% confidence interval (95%CI) = 0.29-0.89,P = 0.02], but there was no significant difference as compared with that of NIPPV (OR = 0.80, 95%CI = 0.54-1.17,P = 0.25). It was shown by pooled analysis of two subgroups that compared with FM/NIPPV, HFNC had a significant advantage in reducing tracheal intubation rate in patients with respiratory failure (pooledOR = 0.66, 95%CI = 0.47-0.94, P = 0.02). Compared with FM, patients with respiratory failure were more likely to receive HFNC for comfort [standardized mean difference (SMD) = -0.41, 95%CI = -0.56 to -0.26,P < 0.00001]. There was no significant difference in hospital mortality between HFNC and FM (OR = 0.82, 95%CI = 0.55-1.24,P = 0.35) or NIPPV (OR = 0.66, 95%CI = 0.37-1.17, P = 0.16). The results of pooled analysis of two subgroups were still unchanged (pooledOR = 0.75, 95%CI = 0.54-1.05, P = 0.09). It was shown by the funnel analysis that there was a bias in the study of tracheal intubation rate in the literature, while the bias of patient comfort and hospital mortality was low.Conclusions Compared with FM, HFNC could reduce the rate of tracheal intubation in patients with respiratory failure, but no difference was found as compared with NIPPV. Compared with FM, HFNC made patients more comfortable, and it was easier to be accepted and tolerated. However, there was no difference in hospital mortality among FM, NIPPV, and HFNC.