Clinicians need to focus on various points in the diagnosis and treatment of insomnia.This article prescribed the treatment protocol based on the unique features,such as insomnia in the elderly,women experiencing specific physiologi-cal periods,children insomnia,insomnia in sleep-breathing disorder patients,insomnia in patients with chronic liver and kidney dysfunction.It pro-vides some reference for clinicians while they make decision on diagnosis,differentiation and treat-ment methods.

Objective:To investigate the effects of human chorionic gonadotropin (hCG) trigger and dual trigger on the outcome of in vitro fertilization and embryo transfer (IVF-ET) during superovulation with an antagonist regimen in individuals with normal ovarian reserve function. Methods:A retrospective cohort study was carried out. A total of 239 patients with normal ovarian reserve undergoing IVF-ET from January 2019 to November 2022 at the Reproductive Medicine Center of Sichuan Provincial Women's and Children's Hospital were enrolled. The patients were divided into two groups based on the types of the trigger, group A ( n=143) was given 250 μg recombinant hCG (rhCG), group B ( n=96) was given a dual trigger comprising 0.2 mg gonadotropin releasing-hormone agonist and 2 000 U hCG. The quality of oocytes and embryos, outcomes of pregnancy between the two groups were compared. Results:There were no statistically significant differences in mature oocyte rate, normal fertilization rate, embryo formation rate on day 3 (D3), high-quality embryo rate, blastocyst formation rate, or high-quality blastocyst rate between the two groups (all P>0.05). The incidence of moderate ovarian hyperstimulation syndrome (OHSS) in group A was 1.40% (2/143), which was higher than that of group B [0 (0/96)], but the difference was not statistically significant ( P>0.05). There were no statistically significant differences in embryo implantation rate and clinical pregnancy rate between the two groups during the fresh and frozen-thawed embryo transfer cycles (all P>0.05). Conclusion:In patients with normal ovarian reserve function, there are no significant differences in oocyte and embryo quality, and pregnancy outcome between the dual trigger and hCG trigger. The dual trigger has a tendency to reduce the incidence of OHSS.

Objective:To investigate the effects of human chorionic gonadotropin (hCG) trigger and dual trigger on the outcome of in vitro fertilization and embryo transfer (IVF-ET) during superovulation with an antagonist regimen in individuals with normal ovarian reserve function. Methods:A retrospective cohort study was carried out. A total of 239 patients with normal ovarian reserve undergoing IVF-ET from January 2019 to November 2022 at the Reproductive Medicine Center of Sichuan Provincial Women's and Children's Hospital were enrolled. The patients were divided into two groups based on the types of the trigger, group A ( n=143) was given 250 μg recombinant hCG (rhCG), group B ( n=96) was given a dual trigger comprising 0.2 mg gonadotropin releasing-hormone agonist and 2 000 U hCG. The quality of oocytes and embryos, outcomes of pregnancy between the two groups were compared. Results:There were no statistically significant differences in mature oocyte rate, normal fertilization rate, embryo formation rate on day 3 (D3), high-quality embryo rate, blastocyst formation rate, or high-quality blastocyst rate between the two groups (all P>0.05). The incidence of moderate ovarian hyperstimulation syndrome (OHSS) in group A was 1.40% (2/143), which was higher than that of group B [0 (0/96)], but the difference was not statistically significant ( P>0.05). There were no statistically significant differences in embryo implantation rate and clinical pregnancy rate between the two groups during the fresh and frozen-thawed embryo transfer cycles (all P>0.05). Conclusion:In patients with normal ovarian reserve function, there are no significant differences in oocyte and embryo quality, and pregnancy outcome between the dual trigger and hCG trigger. The dual trigger has a tendency to reduce the incidence of OHSS.

Objective:To construct a chronic obstructive pulmonary disease (COPD) assessment test (CAT) score prediction model based on a deep network fused with air data, and to explore its significance.Methods:From February 2015 to December 2017, the outdoor environmental monitoring air data near the residential area of the patients with COPD from the Respiratory Outpatient Clinics of Peking University Third Hospital, Peking University People′s Hospital and Beijing Jishuitan Hospital were collected and the daily air pollution exposure of patients was calculated. The daily CAT scores were recorded continuously. The CAT score of the patients in the next week was predicted by fusing the time series algorithm and neural network to establish a model, and the prediction accuracy of the model was compared with that of the long short-term memory model (LSTM), the LSTM-attention model and the autoregressive integrated moving average model (ARIMA).Results:A total of 47 patients with COPD were enrolled and followed up for an average of 381.60 days. The LSTM-convolutional neural networks (CNN)-autoregression (AR) model was constructed by using the collected air data and CAT score, and the root mean square error of the model was 0.85, and the mean absolute error was 0.71. Compared with LSTM, LSTM-attention and ARIMA, the average prediction accuracy was improved by 21.69%.Conclusion:Based on the air data in the environment of COPD patients, the fusion deep network model can predict the CAT score of COPD patients more accurately.