Objective To compare the analgesia effects of Oxycodone hydrochloride with Sufentanil in laparoscopic cholecystectomy (LC) anesthesia induction. Method Sixty patients scheduled for elective LC, ASAⅠ or Ⅱ , were randomly divided into two groups (30 in each): Oxycodone group (group O) and Sufentanil group (Group S). Induction of anesthesia: group O: Propofol 1.0 ~ 2.0 mg/kg, Oxycodone 0.3 mg/kg, Vecuronium 0.1 mg/kg. Group S: Propofol 1.0 ~ 2.0 mg/kg, Sufentanil 0.3 μg/kg and Vecuronium 0.1 mg/kg. The value of HR, SBP, DBP of the two groups were recorded in the operation room (T0), after anesthesia induction (T1), 1 min after insertion laryngeal mask (T2), the instant of pneumoperitoneum establishment (T3), separation of the gallbladder (T4), the time of wake up (T5), leave the recovery room (T6). The numeric pain rating scale (NRS) were recorded at T4, T5, 4 hours later (T7), 8 hours later (T8), one day later (T9). Then recorded the wake time and additional analgetic cases. Recorded the adverse reactions. Results The average HR, SBP and DBP fluctuations in the two groups were not more than 20.0 % of the basal values. There was no significant difference in wake time between the two groups. There were 11 cases of patients, the NRS>4, in Sufentanil group requires additional analgesics after they wake up, more than Oxycodone group (P = 0.040). The NRS score was lower in Oxycodone group than group S in T5, T7, T8, T9, but they had no statistically significant difference. There was no significant difference in adverse reactions between the two groups. Conclusion 0.3 mg/kg Oxycodone and 0.3 μg/kg Sufentanil for anesthesia induction of LC, the anesthesia and analgesia effect is good, can satisfy the clinical anesthesia and postoperative analgesic requirements. The analgesic effect of 0.3 mg/kg Oxycodone may be comparable or better than 0.3 μg/kg Sufentanil.

In order to understand the evolution of the diagnosis and treatment plans of corona virus disease 2019 (COVID-19), and provide convenience for medical staff in actual diagnosis and treatment, this paper uses the 9 diagnosis and treatment plans of COVID-19 issued by the National Health Commission during the period from January 26, 2020 to August 19, 2020 as research data to perform comparative analysis and visual analysis. Based on text mining, this paper obtained the text similarity and summarized its evolution law by expressing and measuring the similarity of the overall diagnosis and treatment plans of COVID-19 and the same modules, which provides reference for clinical diagnosis and treatment practice and other diagnosis and treatment plan formulation.
COVID-19 ; Data Mining ; Humans ; SARS-CoV-2