Purpose The main purposes of our research were to: 1. set up the method of the RGDHirudin microsphere preparation; 2. set up the method to test the activity and the content of the medicine contained in the microsphere; 3. analyse the key factors on the quality of the microsphere preparation. Methods Co-poly lactic acid glycolic acid (PLGA) microsphere was prepared by a modified solvent evaporation method by a double emulsion with the use of polyvinylalcohol (PVA) as emulsification; PLGA was used as biodegradable material and dichloromethane as organic solvent. The influence of formulation factors including the W1/O on microsphere diameter distribution and yield coefficient;PVA concentration on microsphere appearance, encapsulation and yield coefficient; ultrasound on spherulization average and medicine activity; stirring speed on spherulization average and microsphere appearance; PLGA on microsphere appearance and microsphere dispersity; concentration of NaCl on encapsulation efficiency, yield coefficient and medicine content etc were studied. Results The size of all the fabricated microsphere was measured according to the several factors that affect the particle size. The average diameter was 81.38 μm, which is good for further research. The medicine content and the percent yield of all the microsphere was high, which ranged from 83. 92% - 96. 3% and 79.93% - 95.05% respectively. The encapsulation efficiency was about 23.95% - 65. 13%. We found that the concentration of the NaCl and PVA were the very important factors to the encapsulation efficiency. Physiological activity of RGD-Hirudin containing in the microsphere and the release rate of the microsphere were controlled. Furthermore, the release rate was stable. Conclusions The physiologic activity of RGD-Hirudin released from the microspheres was stable. PLGA-RGD-Hirudin microspheres were controlled released by the in vitro studies. Therefore, the in vivo experiment was well grounded.

This article analyzed, organizde, and summarized the specific meaning of yin and yang in Shang Han Lun, holding the idea that Zhongyang in Shang Han Lun contains fluid. YE Tian-shi's Tong Yang Bu Zai Wen Er Zai Li Xiao Bian is derived from Zhong jing method, and is more suitable to be used in damp-heat syndromes, reflecting that YE Tian-shi is not confined to traditional methods, but follows traditional prescriptions and flexible thoughts, which provides references for learning and flexibly applying prescription ideas.

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Objective:To systematically review the qualitative researches on patients′ lived experiences of being mechanically ventilated in intensive care unit.Methods:The Cochrane Library, PubMed, Web of Science, Ovid, CNKI, VIP and Wanfang database were searched to collect qualitative studies on patients′ lived experiences of being mechanically ventilated in intensive care unit, from October 2009 to October 2019. Two reviewers independently screened the literature against the pre-determined inclusion and exclusion criteria, extracting the data, and evaluated the included studies according to JBI Critical Appraisal Tool for qualitative studies in Australia.Results:A total of fourteen studies were included. Thirty-eight complete results were grouped according to their similarities to form seven categories. These categories led to three synthesized findings: results 1: patients suffered from both physical and mental distress; results 2: they were eager for supports; results 3: patients achieved personal growth through self-adjustment and reflection.Conclusion:Discomfort experience during mechanical ventilation reduces patients′ comfort, and to a certain extent, has negative impacts on their physical or mental health and clinical outcome. As the main caregiver of patients with mechanical ventilation, not only should nurses alleviate patients′ physical distress by strengthening communication but also give them adequate psychological support. Eventually, promote the physical and mental recovery of patients.

OBJECTIVETo compare the heart rate variability (HRV) measurements between ballistocardiogram (BCG) and electrocardiography (ECG).

METHODSThe signals of BCG and ECG of 21 patients were collected synchronously. JJ intervals of BCG and RR intervals of ECG were used to calculate the cardiac periods. The parameters of HRV analysis were calculated in time domain analysis, frequency domain analysis and nonlinear analysis. The results derived from BCG and ECG were compared.

RESULTSThe parameters of HRV analysis calculated from BCG and ECG had high similarity. The correlation coefficients of SDNN, TP, LF, HF and SD2 between the BCG and ECG methods were high (r = 1). The correlation coefficients of rMSSD and SD2 were 0.99 and of PNN50 and LF/HF were 0.98 between the two methods. HRV analysis results derived from the two methods were similar (P > 0.05).

CONCLUSIONHRV could also be measured reliably by calculating the JJ interval from BCG.

Objective    To systematically evaluate the risk factors of acute kidney injury after surgery for acute type A aortic dissection. Methods    We searched the CNKI, Wanfang Database, VIP, PubMed, Web of science, Cochrane Library (from inception to January 2019) to identify studies about the risk factors of acute kidney injury after surgery for acute type A aortic dissection. Quality of the included studies was evaluated by Kars-Ottawa scale. The meta-analysis was performed by RevMan 5.3 software. Results    A total of 16 case-control studies were included  involving 1 728 patients. The results of meta-analysis showed that gender (OR=1.58, 95% CI 1.31 to 1.89, P<0.001), body mass index (OR=1.05, 95%  CI 0.66 to 1.45, P<0.001), hypertension (OR=1.58, 95% CI 1.10 to 2.26, P=0.010), smoking history (OR=1.71, 95% CI 1.12 to 2.61, P=0.010), preoperative serum creatinine level (OR=30.26, 95% CI 20.17 to 40.35, P<0.000 01), preoperative white blood cell (OR=1.73, 95% CI 0.26 to 3.20, P=0.020), extracorporeal circulation time (OR=25.60, 95% CI 21.13 to 30.08, P<0.000 01), aortic occlusion time (OR=13.24, 95% CI 10.27 to 16.22, P<0.001), deep hypothermic circulatory arrest (DHCA) time (OR=2.58, 95% CI 0.86 to 4.29, P=0.003), arch replacement (OR=2.31, 95% CI 1.31 to 4.07, P=0.004), intraoperative blood transfusion (OR=1.27, 95% CI 0.29 to 2.24, P=0.010), postoperative mean arterial pressure (OR=–2.41, 95% CI –4.59 to –0.24, P=0.030), reoperation due to postoperative hemorrhage (OR=4.19, 95% CI 2.04 to 8.63, P<0.001), postoperative acute respiratory insufficiency (OR=6.61, 95% CI 3.21 to 13.60, P<0.001), postoperative mechanical ventilation time (OR=48.51, 95% CI 21.94 to 75.09, P<0.001) were associated with acute kidney injury after surgery for acute type A aortic dissection. Conclusion    Current evidence shows that gender, body mass index, hypertension, smoking history, preoperative serum creatinine level, preoperative white blood cell, extracorporeal circulation time, aortic occlusion time, deep hypothermic circulatory arrest (DHCA) time, arch replacement, intraoperative blood transfusion, postoperative mean arterial pressure, postoperative hemorrhage reoperation, postoperative acute respiratory insufficiency and postoperative mechanical ventilation time were risk factors for acute kidney injury after surgery for type A aortic dissection. Medical staff can strengthen perioperative management of patients with acute type A aortic dissection combined with the above factors, so as to reduce the incidence of acute kidney injury after operation and improve the clinical prognosis of patients.

Objective    To systematically evaluate the risk factors for perioperative blood transfusion in patients undergoing coronary artery bypass grafting (CABG). Methods    PubMed, Web of Science, The Cochrane Library, EMbase, CNKI, WanFang and VIP Database were electronically searched to collect case-control and cohort studies about the risk factors for perioperative blood transfusion in patients undergoing CABG from inception to February 2020. Two reviewers screened and evaluated the literatures according to the inclusion and exclusion criteria, and meta-analysis was performed by using RevMan 5.3 software. Results    A total of 26 articles were collected, involving 84 661 patients. The results of meta-analysis showed that age (OR=1.06, 95%CI 1.03 to 1.08, P<0.001), age≥70 years (OR=2.14, 95%CI 1.77 to 2.59, P<0.001), female (OR=1.85, 95%CI 1.55 to 2.22, P<0.001), body mass index (OR=0.94, 95%CI 0.90 to 0.98, P=0.003), weight (OR=0.95, 95%CI 0.93 to 0.96, P<0.001), body surface area (OR=0.19, 95%CI 0.10 to 0.39, P<0.001), smoking (OR=0.80, 95%CI 0.69 to 0.93, P=0.003), diabetes (OR=1.15, 95%CI 1.09 to 1.20, P<0.000 01), chronic heart failure (OR=1.59, 95%CI 1.26 to 1.99, P<0.001), number of diseased coronary arteries (OR=1.17, 95%CI 1.01 to 1.35, P=0.030), reoperation (OR=2.12, 95%CI 1.79 to 2.51, P<0.001), preoperative hemoglobin level (OR=0.60, 95%CI 0.43 to 0.84, P=0.003), preoperative ejection fraction <35% (OR=2.57, 95%CI 1.24 to 5.34, P=0.010), emergency surgery (OR=4.09, 95%CI 2.52 to 6.63, P<0.001), urgent operation (OR=2.28, 95%CI 1.25 to 4.17, P=0.007), intra-aortic balloon pump (OR=3.86, 95%CI 3.35 to 4.44, P<0.001), cardiopulmonary bypass (OR=4.24, 95%CI 2.95 to 6.10, P<0.001), cardiopulmonary bypass time (OR=1.01, 95%CI 1.01 to 1.01, P<0.000 01) and minimum hemoglobin during cardiopulmonary bypass (OR=0.42, 95%CI 0.23 to 0.77, P=0.005) were the risk factors for perioperative blood transfusion in patients undergoing CABG. Conclusion    Current evidence shows that age, age≥70 years, female, body mass index, weight, body surface area, smoking, diabetes, chronic heart failure, number of diseased coronary arteries, reoperation, preoperative hemoglobin level, preoperative ejection fraction<35%, emergency surgery, urgent operation, intra-aortic balloon pump, cardiopulmonary bypass, cardiopulmonary bypass time and minimum hemoglobin during cardiopulmonary bypass are risk factors for perioperative blood transfusion in patients who undergo CABG. Medical staff should formulate and improve the relevant perioperative blood management measures according to the above risk factors, in order to reduce the perioperative blood utilization rate and improve the clinical prognosis of patients.

OBJECTIVE: To explore the predictive value of diaphragmatic thickening fraction (DTF) combined with Medical Research Council-score (MRC score) on the outcome of weaning from mechanical ventilation in ICU-acquired weakness (ICU-AW) patients. METHODS: A retrospective case-control study was conducted. The clinical data of mechanically ventilated patients with an MRC score of less than 48 admitted to the department of critical care medicine of the First Affiliated Hospital of Wannan Medical College from January 2022 to March 2023 were collected, including general information, ultrasound indicators, MRC scores, main clinical outcomes, and weaning outcomes. Patients were divided into successful weaning group and failed weaning group according to whether the patient could maintain effective autonomous breathing for at least 48 hours without using an invasive or non-invasive ventilator. The clinical data of the two groups were compared. Receiver operator characteristic curve (ROC curve) was plotted to analyze the predictive value of DTF and MRC score alone or in combination for successful weaning of patients. RESULTS: A total of 87 patients were enrolled, of which 58 were successful weaning and 29 were failed weaning. There were no statistically significant differences in general data such as gender, age, underlying disease, heart rate (HR), mean arterial pressure (MAP), pH value, blood lactic acid (Lac), oxygenation index (PaO₂/FiO₂), and severity scores between the two groups. Compared with the failed weaning group, the DTF and MRC scores of patients in the successful weaning group were significantly increased [DTF: (26.02±2.68)% vs. (22.79±5.40)%, MRC score: 38.90±2.78 vs. 33.24±3.78, both P < 0.05]. The duration of mechanical ventilation and the length of ICU stay of patients in the successful weaning group were significantly shorter than those in the failed weaning group [duration of mechanical ventilation (hours): 102.21±32.60 vs. 113.14±41.34, length of ICU stay (days): 6.48±2.18 vs. 10.11±4.01, both P < 0.05], and the re-intubation rate and ICU hospitalization cost were significantly lowered [re-intubation rate: 6.90% (4/58) vs. 27.59% (8/29), ICU hospitalization cost (10 000 RMB): 4.99±0.87 vs. 7.85±2.45, both P < 0.05]. ROC curve analysis showed that the area under the ROC curve (AUC) of DTF and MRC score for predicting successful weaning in ICU-AW mechanical ventilation patients was 0.839 [95% confidence interval (95%CI) was 0.746-0.931] and 0.799 (95%CI was 0.701-0.899), respectively. Using DTF ≥ 25.01% as the optimal cut-off value to predict successful weaning, the sensitivity was 82.76%, and the specificity was 72.41%. Predicting successful weaning based on an optimal cut-off value of MRC score of ≥ 35.50 had a sensitivity of 79.31% and a specificity of 70.69%. Based on the DTF ≥ 25.01% combined with MRC score ≥ 35.50, it was predicted that the weaning would be successful, with an AUC of 0.887 (95%CI was 0.812-0.962), sensitivity increased to 89.70%, and specificity increased to 79.30%. CONCLUSIONS The DTF and MRC score have good guiding value for the selection of weaning timing and predicting the weaning outcomes in ICU-AW patients. Compared with independent DTF and MRC score, the combination of DTF and MRC score improves the predictive value of successful weaning in ICU-AW patients.
Humans ; Respiration, Artificial ; Ventilator Weaning ; Case-Control Studies ; Retrospective Studies ; Intensive Care Units