1.Research of Sequential Extraction Procedure for Heavy Metals in Sediments from Mariculture Area
Pengran GUO ; Dehai MOU ; Chang WANG ; Rongliang QIU ; Hong DU
Chinese Journal of Analytical Chemistry 2009;37(11):1645-1650
A sequential extraction procedure has been proposed for the evaluation of the speciation of heavy metals including Cd,Cu,Pb and Zn in sediments from mariculture area,and the speciation of heavy metals was separated and defined as acid soluble fraction,reducible fraction,fraction bound organic matter,fraction bound sulfides and residual fraction. Matrix effects of high salinity on the determination of heavy metals in sediments were eliminated by matrix matching and internal standard methods when inductively couple plasma optical emission spectroscopy (ICP-OES) and mass spectroscopy (ICP-MS) were used,respectively. The results showed that the measured values of marine sediment reference materials were consistent with the standard values when the digestion solutions were determined after dilution. The extraction results of the prepositional extraction procedure and European Community Bureau of Reference Program (BCR) procedure were compared and the selectivity of extractants was investigated. The preliminary studies indicated that this sequential extraction procedure was applicable for evaluating the speciation of heavy metals in sediment with organic substances pollution and eutrophication,especially for fraction bound organic matter and fraction bound sulfides.
2.Analysis of delayed cerebral ischemia after coiling and clipping of intracranial aneurysms
Pengran LIU ; Zhangning JIN ; Xinwang CAI ; Zhen ZHANG ; Nannan GAO ; Zhe WANG ; Xinyu YANG
Tianjin Medical Journal 2017;45(2):176-179
Objective To compare and analyze the occurrence of delayed cerebral ischemia(DCI)after coiling and clipping of intracranial aneurysms, and explore the risk factors of DCI. Methods A total of 236 patients with aneurysms diagnosed by CT angiography (CTA) or digital subtraction angiography (DSA) in Department of Neurosurgery, Tianjin Medical University General Hospital were enrolled in this study from March 2011 to May 2014. Patients were divided into clipping group(n=135) and coiling group(n=101). The clinical characteristics were compared between two groups, including gender, age, medical history, GCS score, Hunt-Hess grade, Fisher grade, WFNS grade, aneurysm location, prognosis and incidence of DCI. Risk factors for DCI were investigated by Logistic regression analysis. Results DCI was occurred in 36 patients (26.7%) underwent clipping operation while in 11 patients (10.9%) underwent coiling operation. The incidence was significantly higher in clipping group compared with that of coiling group (P <0.01). The patients were followed up for 6 months. The poor prognosis rates were 17.0%and 25.7%in clipping group and coiling group, respectively (P>0.01). The overall mortality was 11.0%, the former had a lower mortality rate (5.9% vs. 17.8%, P <0.01). According to Logistic regression analysis, Fisher Grade 3-4, postoperative pulmonary infection and surgical procedure were independent risk factors for DCI (P<0.01). Conclusion DCI is one of the most significant factors for high fatality and morbidity of postoperative aneurysm patients. There is a low occurrence of DCI after coiling compared with that of clipping. If we pay more attention to risk factors associated with the DCI, it will improve the prognosis of postoperative aneurysm patients greatly.
3. Grading evaluation of operative complications and analysis of related risk factors in patients with stage Ⅰ endometrial cancer treated by robotic-assisted and traditional laparoscopic surgery
Ruixia GUO ; Jianmin DU ; Pengran WANG ; Bijun LI ; Liuxia LI ; Qian WANG ; Jing BAI
Chinese Journal of Obstetrics and Gynecology 2020;55(2):112-119
Objective:
To investigate the surgical complications in the treatment of stage Ⅰ endometrial cancer by robotic-assisted laparoscopy, the risk degree of Clavein-Dindo complications and the main risk factors affecting the occurrence of surgical complications.
Methods:
A retrospective case-control study was conducted in the First Affiliated Hospital of Zhengzhou University from October 2014 to June 2019. The patients were divided into robotic-assisted laparoscopy group and traditional laparoscopy group according to the operation mode, including 131 cases in robot group and 290 cases in traditional laparoscopy group. To compare the complications during and after operation and the risk degree of complications between the two groups by Clavein-Dindo classification standard, the age, body mass index (BMI), comorbidities, past history of pelvic surgery, American Society of Anesthesiologists (ASA) grade, preoperative anemia, number of pelvic lymph node resection, number of abdominal aortic lymph node resection, the total number of lymph node resection, operation time, surgical methods (robot surgery or traditional laparoscopic surgery) and other clinicopathological data were analyzed by logistic regression analysis.
Results:
(1) Complications of operation: the incidence of operative complications (including intraoperative and postoperative complications) in robot group was significantly lower than that in traditional laparoscopy group [(20.6%, 27/131) vs (34.8%, 101/290); χ2=8.620,
4.Application and research progress of artificial intelligence technology in trauma care
Pengran LIU ; Lin LU ; Tongtong HUO ; Mao XIE ; Jiayao ZHANG ; Songxiang LIU ; Honglin WANG ; Zhewei YE
Chinese Journal of Trauma 2021;37(1):80-84
Multiple injuries caused by trauma have high rates of disability and mortality and are difficult to treat, which have a negative impact on the patients, their families and the society. At present, the medical model of trauma treatment is still inadequate, and the treatment of trauma patients faces great challenges. Artificial intelligence (AI) is an intelligent technology based on machine learning, reinforcement learning and deep learning algorithm, and it has been applied to the treatment of patients with trauma. Its efficient and accurate computer vision, planning and decision-making, and big data statistical analysis not only improve the safety and efficiency in the treatment of trauma, but also reduce the workload of clinicians, which makes up for the deficiency of the traditional model of trauma care. After screening the recent studies of AI in trauma care, the authors review its application in emergency triage, diagnosis, treatment and prevention of war trauma, in order to introduce the latest research progress of AI in trauma care and provide references for future developments.