ObjectiveTo investigate the clinical features and treatment of ascending paralysis after thoracolumbar fracture.MethodsThree male patients with 2 fracture levels at T12 and one at L1 were retrospectively studied.Their mean age was 41.3 years(range,39-42 years).All 3 cases were undertaken open decompression,reduction and internal fixation.Paralysis level began to ascend at 2-5 days after injury,with 2 cases up to C2,3 and 1 case up to T7.Two patients suffered irritating pain over the paralysis level before onset of ascending.Postoperative MRI images demonstrated well reduction and no compression of spinal cord.In the early phase after ascending,MRI obviously showed swelling in spinal cord and long T1 and long T2 signals shaped patchy and stripy distribution in the central area.One patient's MRI displayed that the spinal cord shrinked 16 days after trauma with abnormal high signal in the central area.ResultsTwo cases died of respiratory muscle paralysis and 1 case suffered paraplegia with no recovery 5 years after surgery.ConclusionAscending paralysis after thoracolumbar fracture is a rare complication with very poor prognosis.MRI is available for evaluating operational effects and affected level.The exact mechanism and effective treatment are still unclear and need further investigated.

Purpose/Significance To summarize the common dimensions of data quality evaluation,and to expound the types and characteristics of medical big data quality evaluation and management methods,so as to provide references for medical big data quality e-valuation and management.Method/Process The paper reviews domestic and foreign medical big data quality related literature,and em-phatically analyzes medical big data quality evaluation dimensions,methods and management.Result/Conclusion Data quality standards are conducive to standardized management of medical big data.A scientific and reasonable medical big data quality evaluation system and a whole-process data quality management system in line with national conditions in China should be established and improved as soon as possible to promote the development and application of medical big data in our country.

Objective:To establish the ultra high performance liquid chromatography (UPLC) fingerprints of Mume flos at different flowering stages; To provide reference for the quality research of Mume flos.Methods:The fingerprints of Mume flos were established by UPLC method, and the common peaks were identified by high performance liquid chromatography high resolution mass spectrometry (LC-MS). Chemometrics analysis was carried out with the fingerprints' common peak area of plum blossom at different flowering stages as a variable. Semiquantitative analysis of changes in flavonoids and phenolic acids in Mume flos at different flowering stages was conduct using peak area calculation method.Results:Totally 31 common peaks were identified in the fingerprints of plum blossom medicinal materials at different flowering stages and 9 components were identified. Clustering analysis (HCA) and principal component analysis (PCA) both classified plum blossom medicinal herbs at different flowering stages into three categories. Among them, there were significant differences between the groups at the bud stage, blooming period, and final flowering period, while the differences between the groups at blooming period and final flowering period were relatively small. The orthogonal partial least squares discriminant analysis (OPLS-DA) screened 16 different components with VIP>1.0. The contents of phenolic acids in different flowering stages were as follows: bud stage>blooming period>final flowering period, while the contents of flavonoids were as follows: blooming period>final flowering period>bud stage.Conclusions:This method is simple and reliable, and can provide reference for the quality evaluation of plum blossom medicinal materials at different flowering stages.

Objective To establish the ultra-high performance liquid chromatography(UPLC)chromatographic fingerprint of Notopterygii Rhizoma et Radix;To determine the contents of ferulic acid,nodakenin,ammijin,notopterol,isoimperatorin and volatile oil of Notopterygii Rhizoma et Radix from different producing areas;To provide reference for quality evaluation of Notopterygii Rhizoma et Radix.Methods Waters BEH C18 chromatographic column(2.1 mm×150 mm,1.7 μm)was used,with mobile phase acetonitrile-0.02%formic acid aqueous solution gradient elution,flow rate 0.25 mL/min,column temperature 25℃,detection wavelength 330 nm,injection volume 2 μL.UPLC fingerprints of 25 batches of Notopterygii Rhizoma et Radix were established,and the similarity analysis and chemometrics analysis were carried out.The contents of ferulic acid,nodakenin,ammijin,notopterol and isoimperatorin were determined simultaneously,and the contents of volatile oil was determined by steam distillation method.Results Totally 23 common fingerprint peaks were calibrated,11 known components were identified.According to the results of the cluster analysis and principal component analysis,25 batches of Notopterygii Rhizoma et Radix samples were divided into 3 categories,and the 6 potential differential components were screened out by orthogonal partial least squares-discriminant analysis(OPLS-DA).The results showed that the contents of notopterol and volatile oil from Sichuan Province were higher than those from Gansu Province and Qinghai Province.Conclusion The method established in the study is accurate and reliable,which can provide scientific basis and reference for the quality evaluation and control of Notopterygii Rhizoma et Radix.

ObjectiveTo discriminate the age of Arisaema Cum Bile， the combination of headspace solid-phase microextraction （HS-SPME） with gas chromatography-mass spectrometry （GC-MS） was applied to explore the differences of volatile components of unfermented， 1-year fermented， 2-year fermented， and 3-year fermented Arisaema Cum Bile. MethodSamples with different fermentation durations were collected and HS-SPME-GC-MS technology was employed to detect the volatile components of each sample. The relative contents of detected volatile components were processed and analyzed by chemometrics methods such as principal component analysis （PCA）， hierarchical cluster analysis （HCA）， and partial least squares discriminant analysis （PLS-DA）. ResultThe results showed that 145 volatile components were identified. Among these volatile components， the relative contents of heterocyclic， alcohols， aldehydes and aromatics were high. PCA， HCA， and PLS-DA can effectively separate Arisaema Cum Bile with four different ages. Based on variable importance in projection （VIP） value > 1， 73 markers of differential volatile components were identified. The content of 2，6，11-trimethyldodecane and m-xylene in unfermented samples was the highest， and the content difference between them and those in fermented samples was significant （P<0.05）. 2，3-butanediol was detected only in 1-year samples， octane was detected only in 2-year samples， and ethyl heptanoate was detected only in 3-year samples. These components can be used as odor markers for Arisaema Cum Bile with different fermentation years. ConclusionThe identification method of volatile components of Arisaema Cum Bile was established by HS-SPME-GC-MS technology， which can realize the rapid identification of unfermented， 1-year fermented， 2-year fermented， and 3-year fermented samples， and provide a scientific basis for the standardization of processing technology and quality standards of Arisaema Cum Bile.

BACKGROUND: Early fluid resuscitation is one of the fundamental treatments for acute pancreatitis (AP), but there is no consensus on the optimal fluid rate. This systematic review and meta-analysis aimed to compare the efficacy and safety of aggressive vs. controlled fluid resuscitation (CFR) in AP. METHODS: The Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, and Web of Science databases were searched up to September 30, 2022, for randomized controlled trials (RCTs) comparing aggressive with controlled rates of early fluid resuscitation in AP patients without organ failure on admission. The following keywords were used in the search strategy: "pancreatitis," "fluid therapy,""fluid resuscitation,"and "randomized controlled trial." There was no language restriction. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework was used to assess the certainty of evidence. Trial sequential analysis (TSA) was used to control the risk of random errors and assess the conclusions. RESULTS: A total of five RCTs, involving 481 participants, were included in this study. For primary outcomes, there was no significant difference in the development of severe AP (relative risk [RR]: 1.87, 95% confidence interval [CI] 0.95-3.68; P = 0.07; n = 437; moderate quality of evidence) or hypovolemia (RR: 0.98, 95% CI: 0.32-2.97; P = 0.97; n = 437; moderate quality of evidence) between the aggressive and CFR groups. A significantly higher risk of fluid overload (RR: 3.25, 95% CI: 1.53-6.93; P <0.01; n = 249; low quality of evidence) was observed in the aggressive fluid resuscitation (AFR) group than the controlled group. Additionally, the risk of intensive care unit admission ( P = 0.02) and the length of hospital stay ( P <0.01) as partial secondary outcomes were higher in the AFR group. TSA suggested that more studies were required to draw precise conclusions. CONCLUSION: For AP patients without organ failure on admission, CFR may be superior to AFR with respect to both efficacy and safety outcomes. REGISTRATION PROSPERO; https://www.crd.york.ac.uk/PROSPERO/ ; CRD 42022363945.
Humans ; Randomized Controlled Trials as Topic ; Fluid Therapy ; Hypovolemia ; Pancreatitis/therapy*