Construction of a clinical prediction model for the impact of acupuncture on pregnancy outcomes in poor ovarian response (POR) patients based on a patient registry research platform / 中国针灸

OBJECTIVES@#To construct a clinical prediction model for the impact of acupuncture on pregnancy outcomes in poor ovarian response (POR) patients, providing insights and methods for predicting pregnancy outcomes in POR patients undergoing acupuncture treatment.@*METHODS@#Clinical data of 268 POR patients (2 cases were eliminated) primarily treated with "thirteen needle acupuncture for Tiaojing Cuyun (regulating menstruation and promoting pregnancy)" was collected from the international patient registry platform of acupuncture moxibustion (IPRPAM) from September 19, 2017 to April 30, 2023, involving 24 clinical centers including Acupuncture-Moxibustion Hospital of China Academy of Chinese Medical Sciences. LASSO and univariate Cox regression were used to screen factors influencing pregnancy outcomes, and a multivariate Cox regression model was established based on the screening results. The best model was selected using the Akaike information criterion (AIC), and a nomogram for clinical pregnancy prediction was constructed. The prediction model was evaluated using receiver operating characteristic (ROC) curves and calibration curves, and internal validation was performed using the Bootstrap method.@*RESULTS@#(1) Age, level of anti-Müllerian hormone (AMH), and total treatment numbers of acupuncture were independent predictors of pregnancy outcomes in POR patients receiving acupuncture (P<0.05). (2) The AIC value of the best subset-Cox multivariate model (560.6) was the smallest, indicating it as the optimal model. (3) The areas under curve (AUCs) of the clinical prediction model after 6, 12, 24, and 36 months treatment were 0.627, 0.719, 0.770, and 0.766, respectively, and in the validation group, they were 0.620, 0.704, 0.759, and 0.765, indicating good discrimination and repeatability of the prediction model. (4) The calibration curve showed that the prediction curve of the clinical prediction model was close to the ideal model's prediction curve, indicating good calibration of the prediction model.@*CONCLUSIONS@#The clinical prediction model for the impact of acupuncture on pregnancy outcomes in POR patients based on the IPRPAM platform has good clinical application value and provides insights into predicting pregnancy outcomes in POR patients undergoing acupuncture treatment.

The sensitization phenomena and regularity of Hegu (LI 4) based on bibliometrics / 中国针灸

The sensitization phenomena and regularities of Hegu (LI 4) were preliminarily explored. The relevant literature regarding Hegu (LI 4) sensitization were collected by computer retrieval at Cochrane Library, Pubmed, Embase (OvidSP), China Journal Full Text Database (CNKI), China Biomedical Literature Database (CBM), VIP and Wanfang (WF) databases as well as manual searching, and a modern literature database of Hegu (LI 4) sensitization was established. The information of disease type, sensitization type, detection method and index were collected. Frequency statistics method was used for analysis. As a result, 47 literatures were included, of which heat sensitivity was the most common type of sensitization, and diseases of liver and gallbladder, limb meridians, lung system, and spleen-stomach system were the most common types of diseases. The detection method of sensitization was various, among them, potassium ion introduction method and hot-water tail-flick method were mainly used for pain sensitivity, while acupoint resistance measuring instrument was mainly used for electric sensitivity, while thermal infrared imager was mainly used for heat sensitivity, while infrared spectrometric analyzer was mainly used for light sensitivity, while pressing pain measuring instrument was used for pressing sensitivity. Detection index was different, pain sensitivity detected pain threshold, electric sensitivity mainly detected acupoint resistance, heat sensitivity mainly detected temperature, light sensitivity detected average sharpness and average energy of infrared radiation, pressing sensitivity detected pressing-pain threshold. In conclusion, the regularities of sensitization of Hegu (LI 4) were preliminarily summarized, which involved five sensitization types: heat sensitivity, electric sensitivity, pain sensitivity, pressing sensitivity and light sensitivity. The sensitization of Hegu (LI 4) was commonly seen in facial paralysis, bronchial asthma, allergic rhinitis, tinnitus, ulcerative colitis. The temperature, pain threshold, pressing-pain threshold, average sharpness and average energy of infrared radiation of Hegu (LI 4) in pathological condition were lower than those in healthy subjects, and the resistance value was higher than that of healthy subjects.

[Occurrence and Removal of Polycyclic Aromatic Hydrocarbons and Their Derivatives in Typical Wastewater Treatment Plants in Beijing].

Substituted polycyclic aromatic hydrocarbons (SPAHs) can be emitted to the environment not only through the incomplete combustion, but also through the transformation from parent polycyclic aromatic hydrocarbons (PAHs) by photo chemical and biological processes. The toxicities of some SPAHs are higher than their corresponding PAHs. Samples were collected from the wastewater treatment plants in Beijing. Three types of SPAHs, including oxy-PAHs (OPAHs), methyl-PAHs (MPAHs) and nitro-PAHs (NPAHs), as well as 16 PAHs were analyzed, in order to study the occurrence and behavior of these compounds during the wastewater biological treatment process. MPAHs, OPAHs and PAHs were detected in the influent and effluent, but no NPAHs. The concentrations of PAHs in the influent in both the aquatic and particulate phases ranged from 1.94 to 4.34 µg · L⁻¹, and SPAHs from 1.16 to 2.20 µg · L⁻¹. The concentrations of PAHs in the effluent were between 0.77 and 0.98 µg · L⁻¹, and SPAHs from 0.39 to 0.45 µg · L⁻¹. The concentrations of the MPAHs were lower than their corresponding PAHs, while OPAHs were higher. The removal efficiencies of all the compounds ranged from 53% to 83%. PAHs and SPAHs were mainly removed by adsorption and biodegradation during the activated sludge treatment processes. Some OPAHs could be transformed from PAHs, and could be accumulated. The PAHs were mainly originated from incomplete combustion of wood and coal, and some from combustion of petroleum, while only a little from the discharge of petroleum. The concentrations of PAHs and SPAHs in the effluent were higher in autumn than summer and winter. Most of the SPAHs and PAHs were discharged to the agriculture area through the river-water irrigation, which might pose potential risk to the humans. As a result, it is necessary to upgrade the wastewater treatment process to improve the removal efficiency of PAHs and SPAHs.