Objective:To investigate the value of nomogram predictive model established by the risk factors of upper extremity venous thrombosis risk associated with peripherally venous inserted central catheter (PICC) in cancer patients.Methods:A total of 1 032 patients who underwent PICC insertion between January 2016 and March 2017 in Zhejiang Cancer Hospital were selected by using prospective cohort study and convenience sampling. Risk factors of upper extremity venous thrombosis risk associated with PICC in cancer patients were evaluated by using Cox regression model. The nomogram predictive model of upper extremity venous thrombosis risk associated with PICC insertion was constructed. Bootstrap method was used to complete the inside check, and figure calibration was used to verify the nomogram.Results:A multivariate Cox regression analysis showed that trombosis history ( HR = 27.82, 95% CI 8.17-94.88, P < 0.01) and hyperlipidemia ( HR = 3.01, 95% CI 1.31-6.93, P = 0.009) were independent risk factors for upper extremity venous thrombosis associated with PICC. The nomogram model C-index was 0.71 (95% CI 0.63-0.80) based on the above risk factors, which indicated that the nomogram had a good differentiation. The calibration curve for predicting the probability of upper extremity venous thrombosis risk associated with PICC within one week, two weeks and one month deviated slightly from the standard curve, suggesting that the model might overestimate the risk of upper extremity venous thrombosis associated with PICC in cancer patients. Conclusions:The nomogram model has a good predictive value and strong operability, which can be used to predict the probability of upper extremity venous thrombosis associated with PICC in cancer patients after PICC insertion. It can provide a reference for identifying the high-risk cancer patients and formulating proper therapeutic strategies.

Objective::To establish the HPLC fingerprint of carbonized ginger and to determine the contents of zingerone, 6-gingerol, 6-shogaol, 10-gingerol, 8-shogaol and 10-shogaol with quantitative analysis of multi-components by single marker (QAMS). Method::The fingerprint of carbonized ginger was established by HPLC. All samples were analyzed by Waters SymmetryShield™ RP18 column (4.6 mm×250 mm, 5 μm) with gradient elution by acetonitrile(A)-water(B) (0-30 min, 25%-70%A; 30-50 min, 70%-90%A; 50-60 min, 90%A), the flow rate was 1.0 mL·min^-1, the detection wavelength was set at 240 nm and the column temperature was 30 ℃. Zingerone, 6-gingerol, 8-gingerol, 6-shogaol, 10-gingerol, 8-shogaol and 10-shogaol was chosen as marker ingredients to establish HPLC fingerprint of carbonized ginger decoction pieces. Taking 6-gingerol as internal reference standard, the contents of zingerone, 6-shogaol, 10-gingerol, 8-shogaol and 10-shogaol were determined at the detection wavelength of 220 nm and 280 nm according to the relative correction factor. Result::The HPLC fingerprint of carbonized ginger was obtained and 10 common peaks were designated, and 7 of them were identified as zingerone, 6-gingerol, 8-gingerol, 6-shogaol, 10-gingerol, 8-shogaol and 10-shogaol, respectively. And there were no significant differences between the quantitative results of external standard method and QAMS. It is suggested that the content limits of carbonized ginger should be not less than 0.020%of zingerone (C₁₁H₁₄O₃), 0.050%of 6-gingerol (C₁₇H₂₆O₄), 0.120%of 6-shogaol (C₁₇H₂₄O₃), 0.080%of 10-gingerol (C₂₁H₃₄O₄), 0.030%of 8-shogaol (C₁₉H₂₈O₃) and 0.050%of 10-shogaol (C₂₁H₃₂O₃) calculated with reference to the dried products, respectively. Conclusion::The developed method is accurate and feasible, which can provide a simple and effective method for the quality control of carbonized ginger.