Objective:To investigate the pain intensity,location and relationship between pain and foot-ankle function in patients with functional ankle instability(FAI).Method:From September 2022 to July 2023,163 FAI patients were assessed at Beijing Tongren Hospital,with ankle pain location,pain intensity(visual analogue scale,VAS),and foot-ankle function(American or-thopedic foot and ankle society ankle and hindfoot score,AOFAS)scores recorded.The VAS and AOFAS of various pain locations and the number of pain locations was compared across groups.Multiple linear regression was used to examine the association between the number of pain locations,VAS,and AOFAS.Result:Out of 163 FAI patients,150 reported the pain.Among them,37.33％had pain in a single location,34％in two locations,and 28.67％in multiple locations(＞2).The most common pain locations were the sinus tarsi(32％)and the anterior talofibular ligament(31％).There were no significant differences in VAS and AO-FAS among different pain locations in FAI patients with the same number of pain locations(P＞0.05).The VAS of FAI patients with multi-location pain(＞2 regions)was higher than that of patients with single-loca-tion pain and 2-location pain(P＜0.01),whereas the AOFAS was lower(P＜0.05).The number of pain loca-tions and VAS were negatively correlated with AOFAS score(P＜0.05),which could predict 20.9％of the AO-FAS score.Conclusion:The majority of FAI patients experience pain,and the pain intensity and number of pain loca-tions impact foot and ankle function.When establishing and implementing rehabilitation strategies for FAI pa-tients,pain relief and minimizing the number of pain locations should be emphasized.Future research should investigate effective pain management measures to improve ankle function in patients with FAI at specific loca-tions with a high incidence(e.g.,tarsal sinus,anterior talofibular ligament).

Objective To analyze the risk factors for increased drainage volume after open transforaminal lumbar interbody fusion(TLIF),and to establish a predictive model and then validate it.Methods The clinical data of 680 patients who underwent open TLIF at the General Hospital of Northern Theater Command from January 2016 to December 2019 were collected and the patients were randomly divided into the training group(n=476)and the validation group(n=204).Taking the predictive factors screened out by LASSO regression analysis as independent variables,a multivariate Logistic regression predictive model was constructed.The model was internally validated through the receiver operating characteristic(ROC)curve,Hosmer-Lemeshow goodness-of-fit test,and calibration curve,and its clinical utility was assessed via decision curve analysis(DCA).Results LASSO regression analysis screened out four predictive variables:age,number of surgical segments,operative duration,and intraoperative blood loss.The multivariate Logistic regression predictive model demonstrated that age≥60 years,number of surgical segments≥4,operative duration≥2 hours,and intraoperative blood loss≥200 mL were independent influencing factors for the increased postoperative drainage volume in patients undergoing TLIF(P<0.05).ROC curve analysis revealed an area under the curve(AUC)of 0.816(95%CI:0.798 to 0.867)in the training group and 0.783(95%CI:0.685 to 0.823)in the validation group,indicating that the predictive model had good discriminatory ability.Additionally,the Hosmer-Lemeshow goodness-of-fit test and calibration curve indicated that the predictive model had a good degree of fit,and the predicted probability was basically consistent with the actual probability,demonstrating a good calibration.The DCA results confirmed that this predictive model could be applied in clinical practice.Conclusion The risk factors for increased drainage volume after open TLIF include age,number of surgical segments,operative duration,and intraoperative blood loss.The predictive model established based on these factors demonstrates good performance,and it can be applied in clinical guidance for the selection of drainage tube removal time after TLIF.

Objective:To investigate the pain intensity,location and relationship between pain and foot-ankle function in patients with functional ankle instability(FAI).Method:From September 2022 to July 2023,163 FAI patients were assessed at Beijing Tongren Hospital,with ankle pain location,pain intensity(visual analogue scale,VAS),and foot-ankle function(American or-thopedic foot and ankle society ankle and hindfoot score,AOFAS)scores recorded.The VAS and AOFAS of various pain locations and the number of pain locations was compared across groups.Multiple linear regression was used to examine the association between the number of pain locations,VAS,and AOFAS.Result:Out of 163 FAI patients,150 reported the pain.Among them,37.33％had pain in a single location,34％in two locations,and 28.67％in multiple locations(＞2).The most common pain locations were the sinus tarsi(32％)and the anterior talofibular ligament(31％).There were no significant differences in VAS and AO-FAS among different pain locations in FAI patients with the same number of pain locations(P＞0.05).The VAS of FAI patients with multi-location pain(＞2 regions)was higher than that of patients with single-loca-tion pain and 2-location pain(P＜0.01),whereas the AOFAS was lower(P＜0.05).The number of pain loca-tions and VAS were negatively correlated with AOFAS score(P＜0.05),which could predict 20.9％of the AO-FAS score.Conclusion:The majority of FAI patients experience pain,and the pain intensity and number of pain loca-tions impact foot and ankle function.When establishing and implementing rehabilitation strategies for FAI pa-tients,pain relief and minimizing the number of pain locations should be emphasized.Future research should investigate effective pain management measures to improve ankle function in patients with FAI at specific loca-tions with a high incidence(e.g.,tarsal sinus,anterior talofibular ligament).

AIM To study the chemical constituents from Stelmatocrypton khasianum.(Benth.)Baill.and their in vitro anti-inflammatory activity and cytotoxic activity.METHODS Separation and purification were performed using thin layer chromatography,silica gel,semi-preparative HPLC and Sephadex LH-20,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The in vitro anti-inflammatory activity was evaluated by RAW264.7 model,and the cytotoxic activity was determined by CCK-8 method.RESULTS Fifteen compounds were isolated and identified as 2α,3β,19α,23-tetrahydroxy-urs-12-en-28-oic acid-3-O-β-D-glucopyranosyl-28-O-β-D-glucopyranosyl ester(1),dalzienoside(2),benzyl-(6-O-α-L-rhanmopyranosyl)O-β-D-glucopyranoside(3),corchorusoside C(4),cyclo(Ala-Tyr)(5),thymidine(6),(4S,5S)-5-hydroxy-4-hexanolide(7),2-methylpyridin-3-ol(8),butyl isobutyl phthalate(9),bis-(2-ethylhexyl)terephthalate(10),p-hydroxybenzaldehyde(11),vanilic acid(12),salicylic acid(13),isovanilic acid(14),3-hydroxy-p-anisaldehyde(15).The IC50 values of compounds 1,2 and 4 for NO were(27.69±5.51),(25.82±3.58)and(23.35±7.09)μmol/L,respectively.The IC50 value of compound 1 on MCF-7 cells was(18.15±6.45)μmol/L.The IC50 values of compound 4 on MCF-7 and HCCC-9810 cells were(19.43±2.66)and(21.76±5.81)μmol/L,respectively.CONCLUSION Compounds 2-11 are isolated from S.khasianum for the first time.Compounds 1,2 and 4 exhibit good in vitro anti-inflammatory activity,and 1,4 have cytotoxic activity.

Objective To analyze the risk factors for increased drainage volume after open transforaminal lumbar interbody fusion(TLIF),and to establish a predictive model and then validate it.Methods The clinical data of 680 patients who underwent open TLIF at the General Hospital of Northern Theater Command from January 2016 to December 2019 were collected and the patients were randomly divided into the training group(n=476)and the validation group(n=204).Taking the predictive factors screened out by LASSO regression analysis as independent variables,a multivariate Logistic regression predictive model was constructed.The model was internally validated through the receiver operating characteristic(ROC)curve,Hosmer-Lemeshow goodness-of-fit test,and calibration curve,and its clinical utility was assessed via decision curve analysis(DCA).Results LASSO regression analysis screened out four predictive variables:age,number of surgical segments,operative duration,and intraoperative blood loss.The multivariate Logistic regression predictive model demonstrated that age≥60 years,number of surgical segments≥4,operative duration≥2 hours,and intraoperative blood loss≥200 mL were independent influencing factors for the increased postoperative drainage volume in patients undergoing TLIF(P<0.05).ROC curve analysis revealed an area under the curve(AUC)of 0.816(95%CI:0.798 to 0.867)in the training group and 0.783(95%CI:0.685 to 0.823)in the validation group,indicating that the predictive model had good discriminatory ability.Additionally,the Hosmer-Lemeshow goodness-of-fit test and calibration curve indicated that the predictive model had a good degree of fit,and the predicted probability was basically consistent with the actual probability,demonstrating a good calibration.The DCA results confirmed that this predictive model could be applied in clinical practice.Conclusion The risk factors for increased drainage volume after open TLIF include age,number of surgical segments,operative duration,and intraoperative blood loss.The predictive model established based on these factors demonstrates good performance,and it can be applied in clinical guidance for the selection of drainage tube removal time after TLIF.

AIM To study the chemical constituents from Stelmatocrypton khasianum.(Benth.)Baill.and their in vitro anti-inflammatory activity and cytotoxic activity.METHODS Separation and purification were performed using thin layer chromatography,silica gel,semi-preparative HPLC and Sephadex LH-20,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The in vitro anti-inflammatory activity was evaluated by RAW264.7 model,and the cytotoxic activity was determined by CCK-8 method.RESULTS Fifteen compounds were isolated and identified as 2α,3β,19α,23-tetrahydroxy-urs-12-en-28-oic acid-3-O-β-D-glucopyranosyl-28-O-β-D-glucopyranosyl ester(1),dalzienoside(2),benzyl-(6-O-α-L-rhanmopyranosyl)O-β-D-glucopyranoside(3),corchorusoside C(4),cyclo(Ala-Tyr)(5),thymidine(6),(4S,5S)-5-hydroxy-4-hexanolide(7),2-methylpyridin-3-ol(8),butyl isobutyl phthalate(9),bis-(2-ethylhexyl)terephthalate(10),p-hydroxybenzaldehyde(11),vanilic acid(12),salicylic acid(13),isovanilic acid(14),3-hydroxy-p-anisaldehyde(15).The IC50 values of compounds 1,2 and 4 for NO were(27.69±5.51),(25.82±3.58)and(23.35±7.09)μmol/L,respectively.The IC50 value of compound 1 on MCF-7 cells was(18.15±6.45)μmol/L.The IC50 values of compound 4 on MCF-7 and HCCC-9810 cells were(19.43±2.66)and(21.76±5.81)μmol/L,respectively.CONCLUSION Compounds 2-11 are isolated from S.khasianum for the first time.Compounds 1,2 and 4 exhibit good in vitro anti-inflammatory activity,and 1,4 have cytotoxic activity.

Objective:To analyze the correlation between cognitive impairment and cortical atrophy in elderly patients with asymptomatic carotid artery stenosis (ACAS).Methods:In this cross-sectional study, 40 consecutive elderly patients with ACAS treated in the Department of Neurology, Northern Jiangsu People′s Hospital from July 1, 2020 to June 30, 2021 (ACAS group), and 40 elderly healthy controls who accepted physical examination during the same period (control group) were included. Cognitive assessment was performed using the Mental State Examination Scale (MMSE) and the Montreal Cognitive Assessment Scale (MoCA), and brain magnetic resonance imaging scanning was performed in the ACAS group. The artificial intelligence technique was applied for brain lobe segmentation and cortical volume calculation. The χ2-test, independent sample t-test and Wilcoxon non-parametric test were used to analyze the difference of clinical data and cognitive scores between the two groups. In the ACAS group, the cortical volumes of the side with carotid stenosis was compared with that of the normal side, and Spearman′s correlation analysis was used to assess the correlation between cognitive scores and cortical atrophy. Results:Compared with the control group, the ACAS group got significantly lower scores of MMSE and MoCA, as well as lower scores of visuospatial executive function, attention and calculation, language function, abstraction ability and delayed recall [(25.60±2.49) vs (27.18±1.01), (22.05±3.59) vs (25.60±1.43), (2.73±1.04) vs (4.08±0.62), (4.53±0.93) vs (5.03±0.66), 2.00 (0.00) vs 3.00 (0.00), 1.00 (1.00) vs 2.00 (0.00), and (2.95±0.96) vs (3.35±0.62)] (all P<0.05). There was not significant differences in naming and orientation ability between the two groups (both P>0.05). The volume of cortical, temporal lobe, frontal lobe, parietal lobe and insular lobe on the side with carotid stenosis in the ACAS group were significantly smaller than those on the normal side [186.23 (177.97, 202.53) vs 194.67 (185.65, 204.82) cm 3, 54.74 (50.66, 56.95) vs 55.61 (51.24, 58.49) cm 3, 72.98 (70.76, 78.34) vs 75.27 (72.34, 80.66) cm 3, 53.66 (51.11, 57.86) vs 56.59 (52.80, 60.09) cm 3, 6.57 (6.35, 7.07) vs 6.72 (6.46, 7.34) cm 3] (all P<0.05). The MoCA score in the ACAS group was positively related to the cortical volume ratio of the two sides ( r=0.427, P<0.01). The attention ( r=0.353) and abstraction ( r=0.226) ability scores were positively correlated with the temporal lobe volume ratios of the two sides (both P<0.05). The visuospatial executive ( r=0.187) and language ( r=0.373) ability scores were positively correlated with frontal lobe volume ratios of the two sides (both P<0.05), and visuospatial executive ( r=0.386), naming ( r=0.344), language ( r=0.517), abstraction ( r=0.335) and delayed recall ( r=0.333) ability scores were positively correlated with parietal lobe volume ratios of the two sides (all P<0.05). Conclusion:In elderly patients with ACAS, the cognitive impairment and cortical atrophy on the sides with carotid stenosis are significant and a positive correlation is detected between them.

The world has paid a heavy price for the pandemic of the emerging respiratory communicable disease, so more concern about communicable disease surveillance and early warning has been aroused. This paper briefly reviews the establishment of the surveillance and early warning system of respiratory communicable diseases in China, discusses its future development and introduces the novel surveillance methods and early warning models for the purpose of establishment of a multi-channel surveillance and multi-dimensional early warning system of communicable diseases in the future and the improvement of the prevention and control of emerging respiratory communicable diseases in China.
Humans ; Population Surveillance/methods* ; Communicable Diseases/epidemiology* ; Communicable Diseases, Emerging/prevention & control* ; China/epidemiology* ; Pandemics ; Disease Outbreaks/prevention & control*

With the outbreak of infectious diseases, more and more attention has been paid to surveillance and early warning work. Timely and accurate monitoring data is the basis of infectious diseases prevention and control. Effective early warning methods for infectious diseases can improve the timeliness and sensitivity of early warning work. This paper briefly introduces the intelligent early warning model of infectious diseases, summarizes the emerging surveillance and early warning methods of infectious diseases, and seeks the possibility of diversified surveillance and early warning in different epidemic stages and different outbreak scenarios of infectious diseases. This paper puts forward the idea of constructing a diversified method system of infectious diseases surveillance and early warning based on multi-stages and multi-scenarios and discusses the future development trend of infectious diseases surveillance and early warning, in order to provide reference for improving the construction level of infectious diseases surveillance and early warning system in China.
Humans ; Population Surveillance/methods* ; Communicable Diseases/epidemiology* ; Disease Outbreaks/prevention & control* ; Epidemics ; China/epidemiology*

With the outbreak of infectious diseases, more and more attention has been paid to surveillance and early warning work. Timely and accurate monitoring data is the basis of infectious diseases prevention and control. Effective early warning methods for infectious diseases can improve the timeliness and sensitivity of early warning work. This paper briefly introduces the intelligent early warning model of infectious diseases, summarizes the emerging surveillance and early warning methods of infectious diseases, and seeks the possibility of diversified surveillance and early warning in different epidemic stages and different outbreak scenarios of infectious diseases. This paper puts forward the idea of constructing a diversified method system of infectious diseases surveillance and early warning based on multi-stages and multi-scenarios and discusses the future development trend of infectious diseases surveillance and early warning, in order to provide reference for improving the construction level of infectious diseases surveillance and early warning system in China.
Humans ; Population Surveillance/methods* ; Communicable Diseases/epidemiology* ; Disease Outbreaks/prevention & control* ; Epidemics ; China/epidemiology*