Objective:To investigate the association between systemic inflammation response index (SIRI) and early neurological deterioration (END) in patients with basal ganglia hemorrhage (BGH), and then set up a prediction Nomogram model for END.Methods:The retrospective cohort study was conducted. A total of 146 patients with BGH from January 2016 to December 2018 were chosen in the Affiliated Jiangyin Hospital of Southeast University Medical College. The patients were divided into the END group ( n=34) and non-END group ( n=112), according to whether END occurred or not. The normally distributed data were presented as the mean±standard deviation ( Mean± SD), and the groups were compared using the t test. The non-normally distributed data were expressed as M ( P25, P75), and this data was analysed via the Kruskal-Wallis test. Categorical variables were described as numbers of patients (%) and compared using chi-square analysis or Fisher exact test, as appropriate. Univariate analysis and multivariate logistic regression analysis were used to identify the risk factors of END occurrence, and the relationship with SIRI. Then, each factor was scored by Nomogram method to construct the prediction model. Receiver operating characteristic curve (ROC) was drawn to assess the predictive value of SIRI and Nomogram model in the occurrence of END. Results:Univariate analysis showed that the occurrence of END was associated with hematoma volume, presence of intraventricular hemorrhage, blood glucose, lymphocyte count and SIRI ( P<0.05). Multivariate logistic regression analysis showed that hematoma volume ( P<0.001), presence of intraventricular hemorrhage ( P=0.012) and SIRI ( P=0.023) are independent risk factors for END occurrence. ROC curve analysis showed that SIRI has certain predictive value for END occurrence, and the optimal cut-off value was SIRI=5.40×10 9/L. Then these risk factors were incorporated into the Nomogram. Statistically analysis showed the model had a good predictive value, and the model combining the SIRI and other prognostic factors (AUC=0.869, 95% CI: 0.804-0.935, P<0.001) showed more favorable discriminative ability than the model without the SIRI (AUC=0.811, 95% CI: 0.734-0.889, P<0.001) and the model using the SIRI only (AUC=0.716, 95% CI: 0.622-0.810, P<0.001). Conclusion:SIRI is closely correlated with the occurrence of END in patients with BGH, and the nomogram model combining the SIRI has a more accurately predictive value, which improved the early identification and screening of END, and patient outcomes.

Adenomatous Polyposis Coli Protein ; chemistry ; metabolism ; Amino Acid Sequence ; Chromatography, High Pressure Liquid ; HeLa Cells ; Humans ; Kinesin ; chemistry ; metabolism ; Microtubule-Associated Proteins ; chemistry ; metabolism ; Microtubules ; metabolism ; Molecular Sequence Data ; Phosphopeptides ; analysis ; Phosphorylation ; Protein Multimerization ; Tandem Mass Spectrometry

Renal mesenchymal chondrosarcoma is a rare malignant soft tissue tumor. This paper reports a patient who was admitted to hospital because of left renal tumor, and underwent robot-assisted laparoscopic partial nephrectomy. The patient was diagnosed as left renal mesenchymal chondrosarcoma by pathological and genetic examination after operation. There was no local recurrence and metastasis six months after operation.

OBJE CTIVE To establish the finger prints for Yinhuang solution for inhalation and determine the contents of neochlorogenic acid ，chlorogenic acid and cryptochlorogenic acid simultaneously. METHODS Using baicalin as reference ，the fingerprints of Yinhuang solution for inhalation were established by high performance liquid chromatography （HPLC）. Relative correction factors of neochlorogenic acid and cryptochlorogenic acid were calculated by slope correction method ，using chlorogenic acid as reference ；the contents of them were calculated according to relative correction factor. The results of quantitative analysis of multi-components by single marker （QAMS）were compared with those of external standard method （ESM）. RESULTS There were 18 common peaks in the fingerprints of 10 batches of Yinhuang solution for inhalation ，and their similarities with reference fingerprint were higher than 0.90. A total of 7 common peaks were identified as baicalin ，neochlorogenic acid ，chlorogenic acid ， cryptochlorogenic acid ，isochlorogenic acid B ，3，5-di-O-caffeoylquinic acid and 4，5-di-O-caffeoylquinic acid. The linear range of neochlorogenic acid ，chlorogenic acid and cryptochlorogenic acid were 0.025 0-1.247 4 μg（r＝0.999 7），0.039 3-1.178 7 μg（r＝ 0.999 9），0.031 6-1.184 1 μg（r＝0.999 9），respectively. RSDs of precision ，reproducibility and stability tests （48 h）were all lower than 1.0％. The average recoveries were 93.92％（RSD＝1.32％ ，n＝6），94.46％（RSD＝1.45％，n＝6），93.93％（RSD＝ 1.57％，n＝6）. Relative correction factors of neochlorogenic acid and cryptochlorogenic acid were 1.068 and 1.233. The contents of neochlorogenic acid and cryptochlorogenic acid determined by QAMS method were 0.301 8-0.386 3 and 0.262 5-0.362 5 mg/mL， respectively. The contents of neochlorogenic acid ，chlorogenic acid and cryptochlorogenic acid by ESM were 0.302 6-0.387 2， 0.231 0- 0.334 0，0.261 6-0.361 3 mg/mL，respectively. The deviations of the content determination results of the two methods（except for chlorogenic acid ）were both not higher than 0.20％. CONCLUSIONS Established HPLC fingerprints are stable and feasible. Established QAMS method is accurate and rapid. HPLC fingerprint combined with QAMS can be used for the quality control for Yinhuang solution for inhalation ．