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Dive into the research topics where Guang-Qiang Chen is active.

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Featured researches published by Guang-Qiang Chen.


British Journal of Neurosurgery | 2017

Post-craniotomy intracranial infection in patients with brain tumors: a retrospective analysis of 5723 consecutive patients.

Zhong-Hua Shi; Ming Xu; Yong-Zhi Wang; Xu-Ying Luo; Guang-Qiang Chen; Xin Wang; Tao Wang; Ming-Zhong Tang; Jianxin Zhou

Abstract Aim: To determine the risk factors for and the incidence, outcomes, and causative pathogens of post-craniotomy intracranial infection (PCII) in patients with brain tumors. Methods: A retrospective study was performed of 5723 patients with brain tumors who were surgically treated between January 2012 and December 2013 in Beijing Tiantan Hospital. The patients’ demographics, pathohistological diagnoses, surgical procedures, postoperative variables, causative pathogens, and outcomes were evaluated. Results: The overall incidence of PCII was 6.8%, and 82.1% of all cases were diagnosed within two weeks after the craniotomy. Postoperative administration of antibiotics reduced the incidence of PCII. Independent risk factors included clean-contaminated craniotomy, prolonged operation (> 7 h), external cerebrospinal fluid (CSF) drainage/monitoring device placement, and postoperative CSF leakage. Patients ≤ 45 years old were more susceptible to infection. Compared with supratentorial tumors, tumors located in the infratentorial or intraventricular regions were more vulnerable to PCII. Gram-positive bacteria were the most common causative pathogens isolated from the CSF samples, accounting for 82.0% of the PCII cases. Conclusions: Risk factors for PCII can be identified early in the perioperative period. These findings raise the possibility of improving the clinical outcomes of patients with brain tumors who undergo craniotomy.


Journal of Neurosurgical Anesthesiology | 2017

Use of Dexmedetomidine for Prophylactic Analgesia and Sedation in Patients With Delayed Extubation After Craniotomy: A Randomized Controlled Trial.

Li-Hong Zhao; Zhong-Hua Shi; Guang-Qiang Chen; Ning-Ning Yin; Han Chen; Yuan Yuan; Wei Cao; Ming Xu; Jing-Jing Hao; Jian-Xin Zhou

Background: We conducted a randomized trial to evaluate the efficacy and safety of dexmedetomidine for prophylactic analgesia and sedation in patients with delayed extubation after craniotomy. Methods: From June 2012 to July 2014, 150 patients with delayed extubation after craniotomy were randomized 1:1 and were assigned to the dexmedetomidine group that received a continuous infusion of 0.6 &mgr;g/kg/h (10 &mgr;g/mL) or the control group that received a maintenance infusion of 0.9% sodium chloride for injection. The mean percentage of time under optimal sedation (SAS3-4), the percentage of patients who required rescue with propofol/fentanyl, and the total dose of propofol/fentanyl required throughout the course of drug infusion, as well as VAS, HR, MAP, and SpO2 were recorded. Results: The percentage of time under optimal sedation was significantly higher in the dexmedetomidine group than in the control group (98.4%±6.7% vs. 93.0%±16.2%, P=0.008). The VAS was significantly lower in the dexmedetomidine group than in the control group (1.0 vs. 4.0, P=0.000). The HR and mean BP were significantly lower in the dexmedetomidine group than in the control group at all 3 time points (before endotracheal suctioning, immediately after extubation, and 30 min after extubation). No significant difference in SpO2 was observed between the 2 groups. For hemodynamic adverse events, patients in the dexmedetomidine group were more likely to develop bradycardia (5.3% vs. 0%, P=0.043) but had a lower likelihood of tachycardia (2.7% vs. 18.7%, P=0.002). Conclusions: Dexmedetomidine may be an effective prophylactic agent to induce sedation and analgesia in patients with delayed extubation after craniotomy. The use of dexmedetomidine (0.6 &mgr;g/kg/h) infusion does not produce respiratory depression, but may increase the incidence of bradycardia.


Respiratory Care | 2018

Stress Index Can Be Accurately and Reliably Assessed by Visually Inspecting Ventilator Waveforms

Xiu-Mei Sun; Guang-Qiang Chen; Kai Chen; Yu-Mei Wang; Xuan He; Hua-Wei Huang; Xu-Ying Luo; Chun-Mei Wang; Zhong-Hua Shi; Ming Xu; Lu Chen; Eddy Fan; Jian-Xin Zhou

BACKGROUND: Stress index provides a noninvasive approach to detect injurious ventilation patterns and to personalize ventilator settings. Obtaining the stress index (SI), however, requires quantitatively analyzing the shape of pressure-time curve with dedicated instruments or a specific ventilator, which may encumber its clinical implementation. We hypothesized that the SI could be qualitatively determined through a visual inspection of ventilator waveforms. METHODS: Thirty-six adult subjects undergoing volume controlled ventilation without spontaneous breathing were enrolled. For each subject, 2 trained clinicians visually inspected the pressure-time curve directly from the ventilator screen. They then qualitatively categorized the shape of pressure-time curve as linear, a downward concavity, or an upward concavity at the bedside. We simultaneously recorded airway pressure and flow signals using a dedicated instrument. A quantitative off-line analysis was performed to calculate the SI using specific research software. This quantitative analysis of the SI served as the reference method for classifying the shape of the pressure-time curve (ie, linear, a downward concavity, or an upward concavity). We compared the SI categorized by visual inspection with that by the reference. RESULTS: We obtained 200 SI assessments of pressure-time curves, among which 125 (63%) were linear, 55 (27%) were a downward concavity, and 20 (10%) were an upward concavity as determined by the reference method. The overall accuracy of visual inspection and weighted kappa statistic (95% CI) was 93% (88–96%) and 0.88 (0.82–0.94), respectively. The sensitivity and specificity to distinguish a downward concavity from a linear shape were 91% and 98%, respectively. The respective sensitivity and specificity to distinguish an upward concavity from a linear shape were 95% and 95%. CONCLUSIONS: Visual inspection of the pressure-time curve on the ventilator screen is a simple and reliable approach to assess SI at the bedside. This simplification may facilitate the implementation of SI in clinical practice to personalize mechanical ventilation. (ClinicalTrials.gov registration NCT03096106.)


Journal of Intensive Care Medicine | 2018

Effect of High-Flow Nasal Cannula Oxygen Therapy Versus Conventional Oxygen Therapy and Noninvasive Ventilation on Reintubation Rate in Adult Patients After Extubation: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Hua-Wei Huang; Xiu-Mei Sun; Zhong-Hua Shi; Guang-Qiang Chen; Lu Chen; Jan O. Friedrich; Jianxin Zhou

Purpose: We conducted a systematic review and meta-analysis of randomized controlled trials (RCTs) to evaluate the effect of high-flow nasal cannula (HFNC) on reintubation in adult patients. Procedures: Ovid Medline, Embase, and Cochrane Database of Systematic Reviews were searched up to November 1, 2016, for RCTs comparing HFNC versus conventional oxygen therapy (COT) or noninvasive ventilation (NIV) in adult patients after extubation. The primary outcome was reintubation rate, and the secondary outcomes included complications, tolerance and comfort, time to reintubation, length of stay, and mortality. Dichotomous outcomes were presented as risk ratio (RR) with 95% confidence intervals (CIs) and continuous outcomes as weighted mean difference and 95% CIs. The random effects model was used for data pooling. Findings: Seven RCTs involving 2781 patients were included in the analysis. The HFNC had a similar reintubation rate compared to either COT (RR, 0.58; 95% CI, 0.21-1.60; P = .29; 5 RCTs, n = 1347) or NIV (RR, 1.11; 95% CI, 0.88-1.40; P = .37; 2 RCTs, n = 1434). In subgroup of critically ill patients, the HFNC group had a significantly lower reintubation rate compared to the COT group (RR, 0.35; 95% CI, 0.19-0.64; P = .0007; 2 RCTs, n = 632; interaction P = .07 compared to postoperative subgroup). Qualitative analysis suggested that HFNC might be associated with less complications and improved patient’s tolerance and comfort. The HFNC might not delay reintubation. Trial sequential analysis on the primary outcome showed that required information size was not reached. Conclusion: The evidence suggests that COT may still be the first-line therapy in postoperative patients without acute respiratory failure. However, in critically ill patients, HFNC may be a potential alternative respiratory support to COT and NIV, with the latter often associating with patient intolerance and requiring a monitored setting. Because required information size was not reached, further high-quality studies are required to confirm these results.


Journal of International Medical Research | 2017

Use of the injection test to indicate the oesophageal balloon position in patients without spontaneous breathing: a clinical feasibility study

Han Chen; Yan-Lin Yang; Ming Xu; Zhong-Hua Shi; Xuan He; Xiu-Mei Sun; Xu-Ying Luo; Guang-Qiang Chen; Jian-Xin Zhou

Objective To investigate the clinical feasibility of the injection test for balloon placement during oesophageal pressure measurement in patients without spontaneous breathing. Methods The injection test was performed in 12 mechanically ventilated patients under deep sedation and paralysis. During withdrawal of the balloon from the stomach and air injection into the gastric lumen of the catheter, the presence of the injection test wave in the balloon pressure tracing indicated that the whole balloon was positioned above the lower oesophageal sphincter (LES). The positive pressure occlusion test was performed at different balloon positions. Results In each patient, the injection test wave appeared at a distinct balloon depth, with a mean ± standard deviation of 41.9 ± 3.3 cm and range from 37 cm to 47 cm. The optimal ratio of changes in the balloon and airway pressure (0.8–1.2) during the positive pressure occlusion test was obtained when the balloon was located 5 cm and 10 cm above the LES in nine (75%) and three (25%) patients, respectively. Conclusions The injection test is feasible for identification of the whole balloon position above the LES during passive ventilation. The middle third of the oesophagus might be the optimal balloon position.


Journal of Thoracic Disease | 2018

Detection of reverse triggering in a 55-year-old man under deep sedation and controlled mechanical ventilation

Xuan He; Xu-Ying Luo; Guang-Qiang Chen; Jian-Xin Zhou

Reverse triggering is a frequently unrecognized form of patient-ventilator asynchrony (1). Previous studies have reported that patient-ventilator asynchrony is associated with adverse outcomes including prolonged duration of ventilation and length of stay in the intensive care unit and increased mortality (2-4).


Respiratory Care | 2017

Use of Cardiac Cycle Locating to Minimize the Influence of Cardiac Artifacts on Esophageal Pressure Measurement During Dynamic Occlusion Test

Xuan He; Xiu-Mei Sun; Guang-Qiang Chen; Yan-Lin Yang; Zhong-Hua Shi; Ming Xu; Jian-Xin Zhou

BACKGROUND: The dynamic occlusion test is used to guide balloon catheter placement during esophageal pressure (Pes) monitoring. We introduced a cardiac cycle locating method to attenuate the influence of cardiac artifacts on Pes measurement. The aim was to provide a reliable analytic algorithm for the occlusion test. METHODS: Esophageal balloon catheters were placed in subjects receiving pressure support ventilation. During balloon position adjustment, end-expiratory occlusion was performed to induce 3 consecutive inspiratory efforts. Pes and airway pressure (Paw) data were collected for off-line analysis. For each occluded inspiratory effort, the change in Pes (ΔPes) was plotted against the change in Paw (ΔPaw), and the slope of the regression line was calculated. The ΔPes/ΔPaw ratio was also measured with the cardiac cycle locating method and peak-to-peak method. Bland-Altman analysis was used to assess the agreement between the ΔPes/ΔPaw ratio and the slope. We defined the occlusion test with all fitted slopes for the 3 inspiratory efforts within 0.8 to 1.2 to indicate optimal balloon position; otherwise, the position was deemed non-optimal. Using the slope as the reference, the diagnostic accuracy of the ΔPes/ΔPaw ratio in distinguishing the optimal and the non-optimal balloon position was analyzed. RESULTS: A total of 86 occlusion tests containing 258 inspiratory efforts were collected from 15 subjects. The median (interquartile range) slope of ΔPes versus ΔPaw plot was 0.85 (0.76, 0.91). Bias (lower and upper limit of agreement) of ΔPes/ΔPaw ratio measured by the cardiac cycle locating method and the peak-to-peak method was 0.02 (−0.13 to 0.16) and 0.06 (−0.18 to 0.31), respectively. Forty-five (52.3%) occlusion tests indicated optimal balloon positions. Compared to the peak-to-peak method, the cardiac cycle locating method was more specific in detecting the non-optimal position. CONCLUSIONS: The cardiac cycle locating method provided reliable and precise measurement for the occlusion test. This method can accurately detect non-optimal balloon position during catheter adjustment.


Biomedical Chromatography | 2017

An UPLC-MS/MS method for analysis of vancomycin in human cerebrospinal fluid and comparison with the chemiluminescence immunoassay.

Shenghui Mei; Jiaqing Wang; Leting Zhu; Ruiling Chen; Xingang Li; Kai Chen; Guang-Qiang Chen; Jianxin Zhou; Qiang Wang; Zhigang Zhao


American Journal of Respiratory and Critical Care Medicine | 2018

Airway Closure Could Be Confirmed by Electrical Impedance Tomography

Xiu-Mei Sun; Guang-Qiang Chen; Yi-Min Zhou; Yan-Lin Yang; Jian-Xin Zhou


Intensive Care Medicine Experimental | 2017

Optimal esophageal balloon volume for accurate estimation of pleural pressure at end-expiration and end-inspiration: an in vitro bench experiment

Yan-Lin Yang; Xuan He; Xiu-Mei Sun; Han Chen; Zhong-Hua Shi; Ming Xu; Guang-Qiang Chen; Jian-Xin Zhou

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Zhong-Hua Shi

Capital Medical University

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Ming Xu

Capital Medical University

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Xiu-Mei Sun

Capital Medical University

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Jian-Xin Zhou

Capital Medical University

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Xuan He

Capital Medical University

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Yan-Lin Yang

Capital Medical University

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Jianxin Zhou

Capital Medical University

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Xu-Ying Luo

Capital Medical University

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Han Chen

Capital Medical University

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Hua-Wei Huang

Capital Medical University

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