1.Evaluation of Effect of Tongnaoyin on Blood-brain Barrier Injury in Acute Ischemic Stroke Patients Based on Dynamic Contrast-enhanced Magnetic Resonance Imaging
Yangjingyi XIA ; Shanshan LI ; Li LI ; Xiaogang TANG ; Xintong WANG ; Qing ZHU ; Hui JIANG ; Cuiping YUAN ; Yongkang LIU ; Zhaoyao CHEN ; Wenlei LI ; Yuan ZHU ; Minghua WU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(2):140-146
ObjectiveTo evaluate the effects of Tongnaoyin on the blood-brain barrier status and neurological impairment in acute ischemic stroke (AIS) patients with the syndrome of phlegm-stasis blocking collaterals by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). MethodsA total of 63 patients diagnosed with AIS in the Jiangsu Province Hospital of Chinese Medicine from October 2022 to December 2023 were enrolled in this study. According to random number table method,the patients were assigned into a control group (32 cases) and an observation group (31 cases). The control group received conventional Western medical treatment,and the observation group took 200 mL Tongnaoyin after meals,twice a day from day 2 of admission on the basis of the treatment in the control group. After 7 days of treatment,the patients were examined by DCE-MRI. The baseline data for two groups of patients before treatment were compared. The National Institute of Health Stroke Scale (NIHSS) score and modified Rankin Scale (mRS) score were recorded before treatment and after 90 days of treatment for both groups. The rKtrans,rKep,and rVe values were obtained from the region of interest (ROI) of the infarct zone/mirror area and compared between the two groups. ResultsThere was no significant difference in the NIHSS or mRS score between the two groups before treatment. After 90 days of treatment,the NIHSS and mRS scores declined in both groups,and the observation group had lower scores than the control group (P<0.05). After treatment,the rKtrans and rVe in the observation group were lower than those in the control group (P<0.01). ConclusionCompared with conventional Western medical treatment alone,conventional Western medical treatment combined with Tongnaoyin accelerates the repair of the blood-brain barrier in AIS patients,thereby ameliorating neurological impairment after AIS to improve the prognosis.
2.Predictive value of oxygenation index at intensive care unit admission for 30-day mortality in patients with sepsis.
Chunhua BI ; Manchen ZHU ; Chen NI ; Zongfeng ZHANG ; Zhiling QI ; Huanhuan CHENG ; Zongqiang LI ; Cuiping HAO
Chinese Critical Care Medicine 2025;37(2):111-117
OBJECTIVE:
To investigate the predictive value of oxygenation index (PaO2/FiO2) at intensive care unit (ICU) admission on 30-day mortality in patients with sepsis.
METHODS:
A retrospective study was conducted. Patients with sepsis who were hospitalized in the ICU of the Affiliated Hospital of Jining Medical University from April 2015 to October 2023 were enrolled. The demographic information, comorbidities, sites of infection, vital signs and laboratory test indicators at the time of admission to the ICU, disease severity scores within 24 hours of admission to the ICU, treatment process and prognostic indicators were collected. According to the PaO2/FiO2 at ICU admission, patients were divided into Q1 group (PaO2/FiO2 of 4.1-16.4 cmHg, 1 cmHg ≈ 1.33 kPa), Q2 group (PaO2/FiO2 of 16.5-22.6 cmHg), Q3 group (PaO2/FiO2 of 22.7-32.9 cmHg), and Q4 group (PaO2/FiO2 of 33.0-94.8 cmHg). Differences in the indicators across the four groups were compared. Multifactorial Cox regression analysis was used to assess the relationship between PaO2/FiO2 and 30-day mortality of patients with sepsis. The predictive value of PaO2/FiO2, sequential organ failure assessment (SOFA) and acute physiology and chronic health evaluation II (APACHE II) on 30-day prognosis of patients with sepsis was analyzed by receiver operator characteristic curve (ROC curve).
RESULTS:
A total of 1 711 patients with sepsis were enrolled, including 428 patients in Q1 group, 424 patients in Q2 group, 425 patients in Q3 group, and 434 patients in Q4 group. 622 patients died at 30-day, the overall 30-day mortality was 36.35%. There were statistically significant differences in age, body mass index (BMI), history of smoking, history of alcohol consumption, admission heart rate, respiratory rate, APACHE II score, SOFA score, Glasgow coma score (GCS), site of infection, Combined chronic obstructive pulmonary disease (COPD), blood lactic acid (Lac), prothrombin time (PT), albumin (Alb), total bilirubin (TBil), pH, proportion of mechanical ventilation, duration of mechanical ventilation, proportion of vasoactive medication used, and maximal concentration, length of ICU stay, hospital stay, incidence of acute kidney injury, in-hospital mortality, 30-day mortality among the four groups. Multivariate Cox regression analysis showed that after adjusting for confounding factors, for every 1 cmHg increase in PaO2/FiO2 at ICU admission, the 30-day mortality risk decreased by 2% [hazard ratio (HR) = 0.98, 95% confidence interval (95%CI) was 0.98-0.99, P < 0.001]. The 30-day mortality risk in the Q4 group was reduced compared with the Q1 group by 41% (HR = 0.59, 95%CI was 0.46-0.76, P < 0.001). The fitted curve showed that a curvilinear relationship between PaO2/FiO2 and 30-day mortality after adjustment for confounders. In the inflection point analysis, for every 1 cmHg increase in PaO2/FiO2 at PaO2/FiO2 < 28.55 cmHg, the risk of 30-day death in sepsis patients was reduced by 5% (HR = 0.95, 95%CI was 0.94-0.97, P < 0.001); when PaO2/FiO2 ≥ 28.55 cmHg, there was no statistically significant association between PaO2/FiO2 and the increase in the risk of 30-day death in sepsis (HR = 1.01, 95%CI was 0.99-1.02, P = 0.512). ROC curve analysis showed that the area under the curve (AUC) for the prediction of 30-day mortality by admission PaO2/FiO2 in ICU sepsis patients was 0.650, which was lower than the predictive ability of the SOFA score (AUC = 0.698) and APACHE II score (AUC = 0.723).
CONCLUSION
In patients with sepsis, PaO2/FiO2 at ICU admission is strongly associated with 30-day mortality risk, alerting healthcare professionals to pay attention to patients with low PaO2/FiO2 for timely interventions.
Humans
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Sepsis/mortality*
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Intensive Care Units
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Retrospective Studies
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Prognosis
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Hospital Mortality
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Oxygen
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Male
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Predictive Value of Tests
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Female
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Middle Aged
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Aged
3.Study on binocular and monocular accommodation in premyopia based on data integration pattern
Bing LIU ; Cuiping HAN ; Zhishen LI ; Hao CHEN
International Eye Science 2024;24(1):158-161
AIM: To compare the binocular and monocular accommodation among normal group, premyopia group and mild myopia group, and to study the characteristics of accommodation in the premyopia group, thus providing clinical evidence for the delay/prevention of myopia and the effective decrease of the incidence of myopia.METHODS: Cross-sectional descriptive study. A total of 179 children who had abnormal/high-risk visual acuity indicated by the vision screening in school from October 2021 to February 2023 were selected, including 92 males and 87 females, aged from 6 to 12(mean 8.55±1.66)years old, then they were referred to the Juvenile Myopia Prevention and Control Center in Cuizu Community Health Service Center. They were divided into normal group(+0.75 D<SE≤+2.00 D), the premyopia group(-0.50 D<SE≤+0.75 D)and the mild myopia group(-3.00 D≤SE≤-0.50 D)according to the diopters after cycloplegia, and binocular myopia grouping is defined by the eye with lower diopter. Binocular positive relative accommodation(PRA), negative relative accommodation(NRA), accommodative facility(AF), and monocular AF and amplitude of accommodation(AA)were examined. The age, binocular and monocular accommodation of different groups were compared.RESULTS: There were no difference in the sex ratio of different groups(χ2=0.167, P=0.920). There was no difference in age between the normal group and the premyopia group(P=0.310), but there were differences between the mild myopia group and the normal group and premyopia group(P=0.018, <0.01); Binocular NRA, PRA, and AF had significance between the normal group and the premyopia group(P<0.01), while there was no significance between the premyopia group and the mild myopia(P>0.05). Monocular AF had significance between the normal group and the premyopia group(P<0.01), while there was no significance between the premyopia group and the mild myopia group(P>0.05); The monocular AA had significance among the three groups(P<0.05).CONCLUSION: Although the diopters was normal, binocular NRA, PRA, monocular and binocular AF had significantly decreased in the premyopia group, and there was no significant difference compared with mild myopia group; monocular AA had decreased in the premyopia group and it was also significantly different from the mild myopia group. The accommodation function should be examined in premyopic children. Recovering the abnormal visual function through visual training may be a way to prevent and control premyopia from progressing to myopia.
4.Research progress on the mechanism of micro-RNA in inflammation and fibrosis of endometriosis
Hui YANG ; Cuiping YU ; Bingbing LI
Journal of Chinese Physician 2024;26(4):617-621
Endometriosis (EM) is a common gynecological disease in women of childbearing age, and its pathogenesis is currently not fully understood. EM are a chronic inflammatory response, and long-term inflammatory exudation can lead to the production of fibrotic adhesions. Inflammatory response and fibrosis formation are the main pathological features of EM, as well as the main causes of pain and infertility. Research has shown that there are certain differentially expressed microRNAs (miRNAs) in EM that participate in inflammation and fibrosis processes and play important regulatory roles. This article reviews the mechanism of miRNA in the inflammatory and fibrotic pathological processes of EM, aiming to find new directions and ideas for exploring the pathogenesis and diagnosis and treatment of EM.
5.18F-FDG PET/CT semi-quantitative parameters for predicting clinical stage Ⅰa—Ⅲa lung adenocarcinoma spreading through air spaces
Zhenzhen WANG ; Xiaotian LI ; Xingyu MU ; Yulong ZENG ; Weixia CHONG ; Jie QIN ; Zuguo LI ; Xueqin ZHAO ; Yang WU ; Cuiping XU ; Wei FU
Chinese Journal of Medical Imaging Technology 2024;40(5):735-739
Objective To observe the value of 18F-FDG PET/CT semi-quantitative parameters for predicting spread through air spaces(STAS)of clinical stage Ⅰa—Ⅲa lung adenocarcinoma.Methods Data of 85 patients with clinical stage Ⅰa—Ⅲ a lung adenocarcinoma who underwent preoperative 18F-FDG PET/CT were retrospectively analyzed.The patients were divided into positive group(n=23)or negative group(n=62)according to whether pathology showed STAS or not.Clinical and PET/CT data were compared between groups,and logistic analysis was performed to explore the efficacy of each parameter for predicting STAS.Results Significant differences of gender,carcinoma embryonic antigen,clinical stage,pathological grade,micropapillary growth and proportion were found between groups(all P<0.05).The maximum,the mean,the peak standard uptake value(SUVmax,SUVmean,SUVpeak),as well as the maximum,the mean and the peak standard uptake value normalized by lean body mass(SULmax,SULmean,SULpeak),also the total lesion glycolysis(TLG)in positive group were all significantly higher than those in negative group(all P<0.05).Patients'gender,proportion of micropapillary growth,SUVmax and SULmax were all independent risk factors of STAS of clinical stage Ⅰa—Ⅲa lung adenocarcinoma.The area under the curve(AUC)of the above parameters for predicting STAS was 0.666,0.912,0.839 and 0.842,respectively,and of the combination was 0.957.Conclusion 18 F-FDG PET/CT semi-quantitative parameters SUVmax and SULmax were helpful for predicting STAS of clinical stage Ⅰa—Ⅲ a lung adenocarcinoma,and further combination of gender and proportion of micropapillary growth could improve diagnostic efficacy.
6.3D amide proton transfer weighted imaging combined with diffusion weighted imaging for differentiating benign and malignant bone and soft tissue tumors
Ying LI ; Jingliang CHENG ; Cuiping REN ; Yong ZHANG ; Wenhua ZHANG ; Liangjie LIN
Chinese Journal of Medical Imaging Technology 2024;40(10):1572-1576
Objective To explore the value of 3D amide proton transfer weighted imaging(APTWI),diffusion weighted imaging(DWI)and the combination for differentiating benign and malignant bone and soft tissue tumors.Methods Non-contrast MRI,APTWI and DWI of pelvis or lower extremity were prospectively acquired in 96 patients with bone and soft tissue tumors.MTRasym and ADC maps were obtained based on APTWI and DWI calculation with an offset of 3.5 ppm,respectively,and the maximum asymmetric magnetization transfer rate(MTRasym)(MTRasymmax),the mean MTRasym(MTRasymmean)and the minimum MTRasym(MTRasymmin),as well as the maximum apparent diffusion coefficient(ADC)(ADCmax),the mean ADC(ADCmean)and the minimum ADC(ADCmin)values were measured.The above parameters were compared between benign and malignant tumors.Then receiver operating characteristic curve was drawn,and the area under the curve(AUC)was calculated to evaluate the efficacy of APTWI,DWI and the combination.Results Among 96 patients,there were 41 benign and 55 malignant pelvic or lower limb bone and soft tissue tumors.In benign tumors,MTRasym(3.5 ppm)values,including MTRasymmax.MTRasymmean and MTRasymmin were significantly higher,whereas ADC values including ADCmax,ADCmeanand ADCmin were significantly lower than those in malignant tumors(all P<0.05).AUC of MTRasymmax and ADCmin for differentiating benign and malignant bone and soft tissue tumors was 0.791 and 0.873,respectively,being not statistically different(P=0.122),but both lower than that of their combination(AUC=0.944,P<0.001,P=0.041).Conclusion APTWI combined with DWI had high efficacy for differentiating benign and malignant bone and soft tissue tumors.
7.The value of combined model nomogram based on clinical characteristics and radiomics in predicting secondary loss of response after infliximab treatment in patients with Crohn′s disease
Shuai LI ; Chao ZHU ; Xiaomin ZHENG ; Yankun GAO ; Xu LIN ; Chang RONG ; Kaicai LIU ; Cuiping LI ; Xingwang WU
Chinese Journal of Radiology 2024;58(7):745-751
Objective:To investigate the value of nomogram based on radiomics features of CT enterography (CTE) combined with clinical characteristics to predict secondary loss of response (SLOR) after infliximab (IFX) treatment in patients with Crohn′s disease (CD).Methods:This study was a case-control study. Clinical and imaging data of 155 patients with CD diagnosed at the First Affiliated Hospital of Anhui Medical University from March 2015 to July 2022 were retrospectively collected. The patients were divided into a training set ( n=108) and a testing set ( n=47) in the ratio of 7∶3 by stratified sampling method. All patients were treated according to the standardized protocol and were classified as SLOR (43 in the training set and 18 in the testing set) and non-SLOR (65 in the training set and 29 in the testing set) according to treatment outcome. Based on the data from the training group, independent clinical predictors of SLOR after IFX treatment were screened in the clinical data using univariate and multivariate logistic regression analysis to establish a clinical model. Intestinal phase images were selected to be outlined layer by layer along the margin of the lesion to obtain the volume of the region of interest to extract the radiomics features. The radiomics features were screened using univariate analysis and the minimum absolute shrinkage and selection operator to establish the radiomics model. Multivariate logistic regression analysis was used to build a combined clinical-radiomics model based on the screened clinical independent predictors and radiomics characters, then a nomogram was drawn. The predictive efficacy of the 3 models for SLOR after IFX treatment was assessed by receiver operating characteristic curves, and the area under the curve (AUC) was calculated. The decision curve analysis was applied to evaluate the clinical utility of the models. Results:Disease duration ( OR=1.983, 95% CI 1.966-2.000, P=0.046) and intestinal stenosis ( OR=1.246, 95% CI 1.079-1.764, P=0.015) were identified as the independent predictors of SLOR in the clinical data, and a clinical model was established. Totally 9 radiomics features were included in the radiomics model. The AUCs of clinical, radiomics, and combined models for predicting SLOR after IFX treatment in CD patients were 0.691 (95% CI 0.591-0.792), 0.896 (95% CI 0.836-0.955), and 0.910 (95% CI 0.855-0.965) in the training set, and 0.722 (95% CI 0.574-0.871), 0.866 (95% CI 0.764-0.968), and 0.889 (95% CI 0.796-0.982) in the testing set. Decision curve analysis in the testing set showed higher net clinical benefits for both the radiomics model and combined model than the clinical model, and combined model had higher net clinical benefits than the radiomics model over most threshold probability intervals. Conclusions:CTE-based radiomics model can effectively predict SLOR after IFX treatment in patients with CD, and a combined model by incorporating clinical characteristics of disease duration and intestinal stenosis can further improve the predictive efficacy.
8.Application progress of natural language processing based on electronic health records in symptom management of cancer patients
Na LI ; Cuiping XU ; Ronghui WANG ; Xinru LIU ; Longhui XU ; Wei WANG
Chinese Journal of Modern Nursing 2024;30(30):4186-4191
This paper introduces the concept of natural language processing, summarizes the status quo and advantages of the application of natural language processing based on electronic health records in symptom management of cancer patients, points out the existing shortcomings, and puts forward corresponding suggestions, aiming to provide reference for further improving the quality of nursing services for cancer patients in China and promoting the informatization and digitization of hospice care.
9.Progress in the application of electronic health records in palliative care from a digital health perspective
Yushuang LI ; Cuiping XU ; Yuze CHEN ; Xiaoyi LIU ; Yuchen MENG ; Guangya WANG
Chinese Journal of Modern Nursing 2024;30(31):4313-4317
Electronic Health Records (EHRs) are digital health tools that support comprehensive care and digital services. This paper provides an overview of EHRs, summarizes their current applications in palliative care, and proposes solutions to address issues in the use of EHRs in this field. The aim is to offer reference points for promoting the application of EHRs in palliative care in China.
10.Construction and validation of a predictive model for early occurrence of lower extremity deep venous thrombosis in ICU patients with sepsis
Zhiling QI ; Detao DING ; Cuihuan WU ; Xiuxia HAN ; Zongqiang LI ; Yan ZHANG ; Qinghe HU ; Cuiping HAO ; Fuguo YANG
Chinese Critical Care Medicine 2024;36(5):471-477
Objective:To investigate the risk factors of lower extremity deep venous thrombosis (LEDVT) in patients with sepsis during hospitalization in intensive care unit (ICU), and to construct a nomogram prediction model of LEDVT in sepsis patients in the ICU based on the critical care scores combined with inflammatory markers, and to validate its effectiveness in early prediction.Methods:726 sepsis patients admitted to the ICU of the Affiliated Hospital of Jining Medical University from January 2015 to December 2021 were retrospectively included as the training set to construct the prediction model. In addition, 213 sepsis patients admitted to the ICU of the Affiliated Hospital of Jining Medical University from January 2022 to June 2023 were retrospectively included as the validation set to verify the performance of the prediction model. Clinical data of patients were collected, such as demographic information, vital signs at the time of admission to the ICU, underlying diseases, past history, various types of scores within 24 hours of admission to the ICU, the first laboratory indexes of admission to the ICU, lower extremity venous ultrasound results, treatment, and prognostic indexes. Lasso regression analysis was used to screen the influencing factors for the occurrence of LEDVT in sepsis patients, and the results of Logistic regression analysis were synthesized to construct a nomogram model. The nomogram model was evaluated by receiver operator characteristic curve (ROC curve), calibration curve, clinical impact curve (CIC) and decision curve analysis (DCA).Results:The incidence of LEDVT after ICU admission was 21.5% (156/726) in the training set of sepsis patients and 21.6% (46/213) in the validation set of sepsis patients. The baseline data of patients in both training and validation sets were comparable. Lasso regression analysis showed that seven independent variables were screened from 67 parameters to be associated with the occurrence of LEDVT in patients with sepsis. Logistic regression analysis showed that the age [odds ratio ( OR) = 1.03, 95% confidence interval (95% CI) was 1.01 to 1.04, P < 0.001], body mass index (BMI: OR = 1.05, 95% CI was 1.01 to 1.09, P = 0.009), venous thromboembolism (VTE) score ( OR = 1.20, 95% CI was 1.11 to 1.29, P < 0.001), activated partial thromboplastin time (APTT: OR = 0.98, 95% CI was 0.97 to 0.99, P = 0.009), D-dimer ( OR = 1.03, 95% CI was 1.01 to 1.04, P < 0.001), skin or soft-tissue infection ( OR = 2.53, 95% CI was 1.29 to 4.98, P = 0.007), and femoral venous cannulation ( OR = 3.72, 95% CI was 2.50 to 5.54, P < 0.001) were the independent influences on the occurrence of LEDVT in patients with sepsis. The nomogram model was constructed by combining the above variables, and the ROC curve analysis showed that the area under the curve (AUC) of the nomogram model for predicting the occurrence of LEDVT in patients with sepsis was 0.793 (95% CI was 0.746 to 0.841), and the AUC in the validation set was 0.844 (95% CI was 0.786 to 0.901). The calibration curve showed that its predicted probability was in good agreement with the actual probabilities were in good agreement, and both CIC and DCA curves suggested a favorable net clinical benefit. Conclusion:The nomogram model based on the critical illness scores combined with inflammatory markers can be used for early prediction of LEDVT in ICU sepsis patients, which helps clinicians to identify the risk factors for LEDVT in sepsis patients earlier, so as to achieve early treatment.

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