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ObjectiveTo investigate the predictive value of preoperative neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic inflammation response index (SIRI), and systemic immune inflammation index (SII) for early recurrence after liver resection in patients with hepatitis B-related hepatocellular carcinoma.MethodsA retrospective study was conducted on 162 patients who underwent hepatitis B-related hepatocellular carcinoma (HCC) resection between January 2013 and April 2016. The Youden index was utilized to calculate the optimal cut-off value. The Pearson Chi-square test was applied to analyze the relationship between inflammatory indexes and common clinical and pathological features. The Kaplan-Meier method and Log-Rank test were implemented to compare the recurrence-free survival rate within 2 years of the population. The Cox regression analysis was used to identify the risk factors for early postoperative recurrence.ResultsThe best cut-off values of SIRI, PLR, NLR and SII were 0.785, 86.421, 2.231 and 353.64, respectively. Tumor diameter, degree of tumor differentiation, vascular invasion, SIRI>0.785, PLR>86.421, NLR>2.231 and SII>353.64 were risk factors for early recurrence. Combining the above seven risk factors to construct a joint index, the AUC of the joint prediction model was 0.804. The areas under the ROC curves of SIRI, PLR, NLR, and SII were 0.659, 0.725, 0.680, and 0.723, respectively. There was no significant difference in the predictive ability between the single inflammatory index models, but the predictive performance of the joint prediction model was significantly higher than that of the single inflammatory index models. The patients with lower SIRI, PLR, NLR, SII and joint index value had longer recurrence-free survival within 2 years.ConclusionThe joint index CIP, constructed by combining preoperative SIRI, PLR, NLP and SII with pathological features, can better predict the early recurrence of HBV-related HCC patients after surgery, which is beneficial in identifying high-risk patients and assisting clinicians to make better clinical choices.

Temperature variation is a key factor affecting the stability of fiber optic frequency transfer systems. In a long-distance optical fiber frequency transfer system, a dispersion compensation fiber (DCF) placed in the machine room and a non-buried single-mode fiber (SMF) are collectively referred to as a bare optical fiber. Due to the impact of the external environment, the temperature of the bare optical fiber varies drastically, which seriously deteriorates the long-term stability (10,000 s stability) of the frequency transfer system. To investigate the relationship between the temperature variation of the bare optical fiber and the frequency transfer stability, we use VPItransmissionMaker optical simulation software to simulate and study the fiber frequency transfer system of the bare optical fiber under the impact of different temperatures. The simulation found that the system stability is 1.4 × 10 − 16 / 104 s in a 3000 km link when the temperature variation of DCF is 5°C, whereas the impact on the system stability is on the order of 10 − 16 / 104 s when the length of the non-buried SMF is more than 300 km and the temperature variation is more than 10°C. To verify the correctness of the simulation, the stability of the actual 80 km fiber optic frequency transfer system was compared with that of the simulation, and the stability of the simulation was found to be 4.2 × 10 − 17 / 104 s, whereas the stability of the experimentally measured system was 7.9 × 10 − 17 / 104 s, and the simulation results were basically consistent with the experimental results. [ABSTRACT FROM AUTHOR]