Qi Li

Dr. Qi Li

the first affiliated hospital of chongqing medical university, Chongqing, China
orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2018 in The Lancet Neurology
Verified
Journal Article
Open access
RSRustam Al-Shahi Salman
Rustam Al-Shahi Salman
JFJoseph Frantzias
Joseph Frantzias
RLRobert J Lee
Robert J Lee
PLPatrick D Lyden
Patrick D Lyden
TBThomas W K Battey
Thomas W K Battey
HLHeinrich Lanfermann
Heinrich Lanfermann
Intracerebral haemorrhage growth is associated with poor clinical outcome and is a therapeutic target for improving outcome. We aimed to determine the absolute risk and predictors of intracerebral haemorrhage growth, develop and validate prediction models, and evaluate the added value of CT angiography. In a systematic review of OVID MEDLINE-with additional hand-searching of relevant studies' bibliographies- from Jan 1, 1970, to Dec 31, 2015, we identified observational cohorts and randomised trials with repeat scanning protocols that included at least ten patients with acute intracerebral haemorrhage. We sought individual patient-level data from corresponding authors for patients aged 18 years or older with data available from brain imaging initially done 0·5-24 h and repeated fewer than 6 days after symptom onset, who had baseline intracerebral haemorrhage volume of less than 150 mL, and did not undergo acute treatment that might reduce intracerebral haemorrhage volume. We estimated the absolute risk and predictors of the primary outcome of intracerebral haemorrhage growth (defined as >6 mL increase in intracerebral haemorrhage volume on repeat imaging) using multivariable logistic regression models in development and validation cohorts in four subgroups of patients, using a hierarchical approach: patients not taking anticoagulant therapy at intracerebral haemorrhage onset (who constituted the largest subgroup), patients taking anticoagulant therapy at intracerebral haemorrhage onset, patients from cohorts that included at least some patients taking anticoagulant therapy at intracerebral haemorrhage onset, and patients for whom both information about anticoagulant therapy at intracerebral haemorrhage onset and spot sign on acute CT angiography were known. Of 4191 studies identified, 77 were eligible for inclusion. Overall, 36 (47%) cohorts provided data on 5435 eligible patients. 5076 of these patients were not taking anticoagulant therapy at symptom onset (median age 67 years, IQR 56-76), of whom 1009 (20%) had intracerebral haemorrhage growth. Multivariable models of patients with data on antiplatelet therapy use, data on anticoagulant therapy use, and assessment of CT angiography spot sign at symptom onset showed that time from symptom onset to baseline imaging (odds ratio 0·50, 95% CI 0·36-0·70; p<0·0001), intracerebral haemorrhage volume on baseline imaging (7·18, 4·46-11·60; p<0·0001), antiplatelet use (1·68, 1·06-2·66; p=0·026), and anticoagulant use (3·48, 1·96-6·16; p<0·0001) were independent predictors of intracerebral haemorrhage growth (C-index 0·78, 95% CI 0·75-0·82). Addition of CT angiography spot sign (odds ratio 4·46, 95% CI 2·95-6·75; p<0·0001) to the model increased the C-index by 0·05 (95% CI 0·03-0·07). In this large patient-level meta-analysis, models using four or five predictors had acceptable to good discrimination. These models could inform the location and frequency of observations on patients in clinical practice, explain treatment effects in prior randomised trials, and guide the design of future trials. UK Medical Research Council and British Heart Foundation.

1 August 2015 in Stroke
Verified
Journal Article
Closed access
Qi LiQi Li
Qi Li
GZGang Zhang
Gang Zhang
YHYuan-Jun Huang
Yuan-Jun Huang
MDMei-Xue Dong
Mei-Xue Dong
FLFa-Jin Lv
Fa-Jin Lv
PXPeng Xie
Peng Xie
Background and Purpose—: Early hematoma growth is not uncommon in patients with intracerebral hemorrhage and is an independent predictor of poor functional outcome. The purpose of our study was to report and validate the use of our newly identified computed tomographic (CT) blend sign in predicting early hematoma growth. Methods—: Patients with intracerebral hemorrhage who underwent baseline CT scan within 6 hours after onset of symptoms were included. The follow-up CT scan was performed within 24 hours after the baseline CT scan. Significant hematoma growth was defined as an increase in hematoma volume of >33% or an absolute increase of hematoma volume of >12.5 mL. The blend sign on admission nonenhanced CT was defined as blending of hypoattenuating area and hyperattenuating region with a well-defined margin. Univariate and multivariable logistic regression analyses were performed to assess the relationship between the presence of the blend sign on nonenhanced admission CT and early hematoma growth. Results—: A total of 172 patients were included in our study. Blend sign was observed in 29 of 172 (16.9%) patients with intracerebral hemorrhage on baseline nonenhanced CT scan. Of the 61 patients with hematoma growth, 24 (39.3%) had blend sign on admission CT scan. Interobserver agreement for identifying blend sign was excellent between the 2 readers (κ=0.957). The multivariate logistic regression analysis demonstrated that the time to baseline CT scan, initial hematoma volume, and presence of blend sign on baseline CT scan to be independent predictors of early hematoma growth. The sensitivity, specificity, positive and negative predictive values of blend sign for predicting hematoma growth were 39.3%, 95.5%, 82.7%, and 74.1%, respectively. Conclusions—: The CT blend sign could be easily identified on regular nonenhanced CT and is highly specific for predicting hematoma growth.

1 July 2016 in Stroke
Verified
Journal Article
Closed access
PDF file
Qi LiQi Li
Qi Li
GZGang Zhang
Gang Zhang
XXXin Xiong
Xin Xiong
XWXing-Chen Wang
Xing-Chen Wang
WYWen-Song Yang
Wen-Song Yang
PXPeng Xie
Peng Xie
Background and Purpose—: Early hematoma growth is a devastating neurological complication after intracerebral hemorrhage. We aim to report and evaluate the usefulness of computed tomography (CT) black hole sign in predicting hematoma growth in patients with intracerebral hemorrhage. Methods—: Patients with intracerebral hemorrhage were screened for the presence of CT black hole sign on admission head CT performed within 6 hours after onset of symptoms. The black hole sign was defined as hypoattenuatting area encapsulated within the hyperattenuating hematoma with a clearly defined border. The sensitivity, specificity, and positive and negative predictive values of CT black hole sign in predicting hematoma expansion were calculated. Logistic regression analyses were used to assess the presence of the black hole sign and early hematoma growth. Results—: A total of 206 patients were enrolled. Black hole sign was found in 30 (14.6%) of 206 patients on the baseline CT scan. The black hole sign was more common in patients with hematoma growth (31.9%) than those without hematoma growth (5.8%; P <0.001). The sensitivity, specificity, positive predictive value, and negative predictive value of back hole sign in predicting early hematoma growth were 31.9%, 94.1%, 73.3%, and 73.2%, respectively. The time-to-admission CT scan, baseline hematoma volume, and the presence of black hole sign on admission CT independently predict hematoma growth in multivariate model. Conclusions—: The CT black hole sign could be used as a simple and easy-to-use predictor for early hematoma growth in patients with intracerebral hemorrhage.

1 November 2017 in Stroke
Verified
Journal Article
Closed access
Qi LiQi Li
Qi Li
QLQing-Jun Liu
Qing-Jun Liu
WYWen-Song Yang
Wen-Song Yang
XWXing-Chen Wang
Xing-Chen Wang
LZLi-Bo Zhao
Li-Bo Zhao
PXPeng Xie
Peng Xie
Background and Purpose—: The aim of the study was to investigate the usefulness of the computed tomography (CT) island sign for predicting early hematoma growth and poor functional outcome. Methods—: We included patients with spontaneous intracerebral hemorrhage (ICH) who had undergone baseline CT within 6 hours after ICH symptom onset in our hospital between July 2011 and September 2016. Two readers independently assessed the presence of the island sign on the admission noncontrast CT scan. Multivariable logistic regression analysis was used to analyze the association between the presence of the island sign on noncontrast admission CT and early hematoma growth and functional outcome. Results—: A total of 252 patients who met the inclusion criteria were analyzed. Among them, 41 (16.3%) patients had the island sign on baseline noncontrast CT scans. In addition, the island sign was observed in 38 of 85 patients (44.7%) with hematoma growth. Multivariate logistic regression analysis demonstrated that the time to baseline CT scan, initial hematoma volume, and the presence of the island sign on baseline CT scan independently predicted early hematoma growth. The sensitivity of the island sign for predicting hematoma expansion was 44.7%, specificity 98.2%, positive predictive value 92.7%, and negative predictive value 77.7%. After adjusting for the patients’ age, baseline Glasgow Coma Scale score, presence of intraventricular hemorrhage, presence of subarachnoid hemorrhage, admission systolic blood pressure, baseline ICH volume, and infratentorial location, the presence of the island sign (odds ratio, 3.51; 95% confidence interval, 1.26–9.81; P =0.017) remained an independent predictor of poor outcome in patients with ICH. Conclusions—: The island sign is a reliable CT imaging marker that independently predicts hematoma expansion and poor outcome in patients with ICH. The noncontrast CT island sign may serve as a potential marker for therapeutic intervention.

1 November 2012 in Stroke
Verified
Journal Article
Closed access
XZXinyu Zhou
Xinyu Zhou
JCJianjun Chen
Jianjun Chen
Qi LiQi Li
Qi Li
GRGaoping Ren
Gaoping Ren
GYGuoen Yao
Guoen Yao
PXPeng Xie
Peng Xie
Background and Purpose—: There has been a nonstandard surgical procedure and extensive international controversy in minimally invasive surgery (MIS) for the management of spontaneous supratentorial intracerebral hemorrhage. This meta-analysis assessed the effectiveness of MIS as compared with other treatment options, including conservative medical treatment and conventional craniotomy, in patients with supratentorial intracerebral hemorrhage. Methods—: PubMed, Embase, Cochrane Controlled Trials Register (CCTR), Web of Science, European Association for Grey Literature Exploitation (EAGLE), National Technical Information Service (NTIS), Current Controlled Trials, Clinical Trials, International Clinical Trials Registry, Internet Stroke Center, Chinese Biomedical Literature Database (CBM), Chinese National Knowledge Infrastructure (CNKI) (last searched December 2011) were searched. Randomized controlled trials on MIS in patients with computed tomography-confirmed supratentorial intracerebral hemorrhage were included. We excluded low-quality randomized controlled trials. The death or dependence at the end of follow-up was defined as the primary outcome, and the death at the end of follow-up was defined as the secondary outcome. Results—: The 313 randomized controlled trials met the included criteria. We only analyzed 12 high-quality randomized controlled trials involving 1955 patients. The quality of the included trials was consistently high. OR of the primary outcome and secondary outcome of MIS both showed significant reductions (OR, 0.54, P <0.00001; OR, 0.53, P <0.00001). Conclusions—: Patients with supratentorial intracerebral hemorrhage may benefit more from MIS than other treatment options. The most likely candidates to benefit from MIS are both sexes, age of 30 to 80 years with superficial hematoma, Glasgow Coma Scale score of ≥9, hematoma volume between 25 and 40mL, and within 72 hours after onset of symptoms. Our study could help select appropriate patients for MIS and guide clinicians to optimize treatment strategies in supratentorial intracerebral hemorrhage.

1 February 2012 in Journal of Proteome Research
Verified
Journal Article
Closed access
PZPeng Zheng
Peng Zheng
HGHong C. Gao
Hong C. Gao
Qi LiQi Li
Qi Li
WSWei H. Shao
Wei H. Shao
MZMei L. Zhang
Mei L. Zhang
PXPeng Xie
Peng Xie