Objective:To study the immune stimulation effect of Portulaca oleracea L.polysaccharide ( POL-P3b) on cervical tumor-bearing mice.Methods:Using graft U14 cervical cancer mouse model ,and all the mice were randomly divided into tumor-bearing control group,cyclophosphamide (CTX) group and purslane polysaccharide low (L) (POL-P3b(L)) group and high dose of POL-P3b (POL-P3b(H)) group.After continuous treating 13 d,the thymus index and spleen index were determined; cellular immune function in mice was evaluated by ConA inducing mice spleen lymphocyte transformation test.The cytokines content of IL-2,IFN-γ,IL-10 and IL-4 secreted by spleen cells was detected using ELISA method.Indoleamine 2,3-2 oxidase ( IDO) expression in tumor tissue was detected by immunohistochemistry and Western blot method.Results:POL-P3b could obviously improve immune organ weight of tumor-bearing mice and enhance the cellular immunity function.POL-P3b could reduce the level of IL-4 and IL-10 secreted by spleen cells , and could promote the secretion of IL-2 and IFN-γ.POL-P3b also could inhibit the expression of IDO in tumor tissues ,and the effect of high dose group was more obvious.Conclusion:The antitumor mechanism of POL-P3b might be related to increase the body′s immune function and reduce the immune escape.

Objective To determine the utility of musculoskeletal ultrasound imaging to support physical findings in different stages of recovery and in recommending treatment regimens.Methods Forty-three hemiplegic stroke survivors with shoulder pain were enrolled.Physical examinations were performed 3 and 6 months after the stroke using a visual analogue scale (VAS),a modified Ashworth scale,measurements of passive range of motion and Brunnstrom staging.This was coupled with sonography of the long head of the biceps,the subscapularis tendon,the supraspinatus tendon,the infraspinatus tendon,the acromioclavicular joint and the subacromial-subdeltoid bursa.Results Three months after the stroke the average VAS score correlated negatively with the average Brunnstrom stage of the shoulders (r=-0.39,P≤0.01),with the range of passive abduction (r=-0.56,P≤ 0.01),the range of passive external rotation (r=-0.36,P≤ 0.02),and the range of passive flexion (r=-0.37,P≤ 0.02).It was positively correlated with abnormal sonographic findings of the long head tendon of the biceps (r=0.32,P≤ 0.04),the subscapularis tendons (r=0.31,P≤0.04) and the supraspinatus tendons (r=0.53,P≤0.01).However,3 months later the VAS results were negatively correlated with Brunnstrom stage (r=-0.45,P ≤ 0.01),range of passive shoulder abduction (r=-0.60,P≤0.01),range of passive external rotation (r=-0.41,P≤0.01),and passive range of flexion (r=-0.52,P≤ 0.01),but positively correlated with spasticity (r=0.34,P≤ 0.03),biceps tendinopathy (r=0.45,P≤0.01),subscapularis tendinopathy (r=0.33,P≤ 0.03) and supraspinatus tendinopathy (r=0.56,P≤ 0.01).Rotator cuff injury was significantly more severe 6 months after stroke than at 3 months.The incidence of pain in the hemiplegic shoulder and abnormal sonographic findings of the biceps tendon and subscapularis tendon were significantly higher at 6 months than at 3 months after the stroke.Supraspinatus tendon problems were notable both at 3 and 6 months.Conclusions Pain in a hemiplegic shoulder is positively correlated with abnormal sonographic findings but negatively correlated with Brunnstrom stages and passive range of motion 3 and 6 months after stroke.Six months after stroke,pain is positively correlated with muscle tone.The tendon at the long head of the biceps and the rotator cuff are vulnerable to injury,especially at 6 months after stroke.

Objective To evaluate the effect of hypoxic-ischemic time on reduction of hypoxic-ischemic brain injury by sevoflurane postconditioning in neonatal rats.Methods Two hundred and ten 7-day-old Sprague-Dawley rats (105 male,105 female),weighing 13-17 g,were randomly divided into 7groups (n=30 each) using a random number table:sham operation group (group Sham),hypoxia-ischemia group (group HI),and sevoflurane postconditioning at different hypoxic-ischemic time point groups (P0,P3,P6,P 12 and P24 groups).Immediately after ligation of the left common carotid artery,and at 3,6,12 and 24 h after ligation,the rats inhaled the mixed gas containing 2％ sevoflurane for 30 min in P0,P3,P6,P13 and P24 groups,respectively.The fatality was recorded within 7 days after establishment of the model.At 7 days after establishment of the model,the rats were sacrificed,the brains were removed,and the right and left cerebral hemispheres were weighed separately,and the left/right cerebral hemisphere weight ratio was calculated.The hippocampal CA1 region and posterior cingulate gyrus were isolated,and the ratio of density of normal neurons in the left to the right was calculated.Results Compared with group Sham,the left cerebral hemisphere weight,left/right cerebral hemisphere weight ratio,and ratio of density of normal neurons were significantly decreased,and the fatality rate was increased in the other six groups (P＜0.05).Compared with group HI,the left cerebral hemisphere weight,left/right cerebral hemisphere weight ratio,and ratio of density of normal ncurons were significantly increased in P0,P3 and P6 groups (P＜0.05),and no significant change was found in the parameters mentioned above in P12 and P24 groups (P＞0.05).Compared with group P6,the left cerebral hemisphere weight,left/right cerebral hemisphere weight ratio,and ratio of density of normal neurons were significantly increased in P0 and P3 groups (P＜ 0.05).There was no significant difference in the parameters mentioned above between group P0 and group P3 (P＞0.05).Conclusion Sevoflurane postconditioning performed within 6 h of hypoxia-ischemia can reduce hypoxic-ischemic brain injury,and it provides no cerebral protection if exceeding 12 h.

Objective:This paper examines the access control mechanisms of a big data platform and explores its integration with the ChatGPT artificial intelligence platform for nursing management. The aim was to pilot a self-monitoring and follow-up big data platform for valve disease patients in the Northeastern region of China and assess its effectiveness, providing healthcare professionals with a more practical follow-up tool.Methods:Convenience sampling was used to select 32 patients who underwent mechanical valve replacement surgery or postoperative follow-up at the affiliated hospital of North Sichuan Medical College between January and October 2022 by a retrospective study, were taking oral warfarin anticoagulant therapy, and were willing to use the platform. Based on their platform usage data from November to December 2022, the 32 patients were divided into two groups according to their INR compliance rates: a high compliance group (16 patients) and a low compliance group (16 patients). Evaluate the operational effectiveness of the platform and its impact on patient anticoagulation efficacy based on its usage frequency and INR value compliance rate.Results:The number of login times and INR values written by patients in the high-standard-rate group were (11.31 ± 3.38) and (7.00 ± 1.63) times respectively, which were higher than those in the low-standard-rate group (9.44 ± 3.39) and (6.06 ± 1.88) times, the difference were not statistically significant (all P>0.05). The number of INR values written within the normal range and the number of occurrences of warning values by patients in the high-standard-rate group were (6.38 ± 1.50) and 1.00(0, 2.00) times, which were different than that in the low-standard-rate group (4.05 ± 1.57) and 2.00(2.00, 3.50) times, the differences were statistically significant ( t = 4.26, Z = - 2.22, P<0.05). Conclusions:The self-monitoring and follow-up big data platform for patients after artificial mechanical valve replacement equipped with ChatGPT can optimize and standardize the nursing follow-up workflow, improve nursing work efficiency, reduce the workload of medical staff. At the same time, it provides a better self-management platform for patients after artificial mechanical valve replacement. Assist patients in monitoring INR values and predicting possible changes in their condition, providing corresponding warnings and recommendations helps patients better participate in self-anticoagulation management, and improves the quality of life of patients.

Objective:To investigate the clinical safety and efficacy of tirofiban in the treatment of hemiplegic stroke warning syndrome.Methods:Patients with hemiplegic stroke warning syndrome admitted to Jining First People's Hospital without receiving intravenous thrombolysis from January 2018 to May 2020 were enrolled retrospectively. Some patients were given tirofiban intravenous infusion for at least 24 h in acute phase, then received oral antiplatelet therapy (tirofiban group); some only received aspirin+ clopidogrel dual antiplatelet therapy (control group). The primary endpoint was muscle strength at the paralytic side and National Institutes of Health Stroke Scale (NIHSS) score at day 7 after onset. The secondary endpoint was the modified Rankin Scale (mRS) score at 3 months after onset, and ≤2 was defined as good clinical outcome. The safety endpoint was the bleeding events during treatment. Multivariate logistic regression analysis was used to determine the independent influencing factors of clinical outcome. Results:A total of 30 patients with hemiplegic stroke warning syndrome were enrolled, including 19 (63.3%) in the tirofiban group and 11 (36.7%) in the control group. There was no significant difference in baseline clinical data between the two groups, and no drug-related bleeding complications occurred during treatment. The muscle strength at paralytic side and NIHSS score at day 7 after onset, NIHSS score at discharge and good clinical outcome rate at 3 months in the tirofiban group were significantly better than those in the control group, and the differences were statistically significant (all P<0.05). Multivariate logistic regression analysis showed that tirofiban was an independent protective factor for good outcome after adjusting the NIHSS score at the beginning of treatment (odds ratio 0.040, 95% confidence interval 0.040-0.449; P=0.009). Conclusions:Tirofiban is safe and effective in the treatment of patients with hemiplegic stroke warning syndrome in acute phase. It can effectively block the progress of the disease, improve the outcome of patients, and will not increase the risk of bleeding.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.