1.Hypotension prediction index in the prediction of better outcomes: a systematic review and meta-analysis
Yi LIU ; Bei LIU ; Wei XIONG ; Chen WANG ; Kunxin YANG ; Wudi MA ; Liangtian LAN ; Ming WEI ; Nan JIANG ; Xia FENG
Korean Journal of Anesthesiology 2026;79(2):169-181
Background:
The hypotension prediction index (HPI) is an algorithm designed to predict hypotension. Some studies have reported that HPI-guided hemodynamic management strategies decrease intraoperative hypotension and complications; however, the effect of HPI on reducing perioperative complications is controversial. This meta-analysis aimed to assess the efficacy of the HPI in reducing major complications and intraoperative hypotension.
Methods:
We conducted this meta-analysis according to the PRISMA statement and Cochrane Handbook guidelines. A comprehensive literature review was conducted to identify studies focusing on the efficacy of HPI-guided management in reducing intraoperative hypotension and postoperative complications. The PubMed, Embase, Scopus, and Web of Science databases were searched, and the resulting data were combined to calculate the pooled mean differences or risk ratios (RRs) with 95% CIs of both randomized controlled trials (RCTs) and retrospective studies, as appropriate. Heterogeneity and potential publication bias were also assessed.
Results:
Nineteen articles (12 RCTs and 7 retrospective studies) with 2570 recruited patients were included in this meta-analysis. The critical evaluation of the study quality revealed a low risk of bias in the included RCTs. Among the non-randomized trials, one was rated 7, two were rated 8, and the remaining four were rated 9 on the Newcastle-Ottawa Scale, indicating high quality and a low risk of bias. HPI-guided management significantly reduced intraoperative hypotension and associated major complications (RR = 0.79, 95% CI [0.69–0.90], I2 = 0, P < 0.001). Blood loss and length of hospital stay were comparable between the groups.
Conclusions
HPI-guided management significantly reduced intraoperative hypotension and major complications.
2.Skin pharmacokinetics of inositol nicotinate in heparin sodium inositol nicotinate cream
Yaling CUI ; Qiong WU ; Liangyu MA ; Bei HU ; Dong YAO ; Zihua XU
Journal of Pharmaceutical Practice and Service 2025;43(1):6-9
Objective To establish an HPLC method to determine the concentration of inositol nicotinate(IN) in rat skin, and study the pharmacokinetic characteristics of IN after transdermal administration of heparin sodium inositol nicotinate cream in rats. Methods HPLC method was used to establish a simple and rapid analytical method for the determination of IN concentration in the skin of rats at different time points after administration. The established method was used to study the pharmacokinetics of IN after transdermal administration of heparin sodium inositol nicotinate cream in rats, and the pharmacokinetic parameters were fitted with DAS software. Results The linearity of the analytical method was good in the concentration range of 0.25-20 μg/ml, the quantitative limit was 0.25 μg/ml, and the average recovery rate was 96.18%. The pharmacokinetic parameters of IN after transdermal administration of heparin sodium inositol nicotinate cream in rats were as follows: t1/2 was (4.555±2.054) h, Tmax was (6±0)h, Cmax was (16.929±2.153)mg/L, AUC0−t was (150.665±16.568) mg·h /L ,AUC0−∞ was (161.074±23.917) mg·h /L, MRT(0−t) was (9.044±0.618)h, MRT(0−∞) was (10.444±1.91) h, CLz/F was (0.19±0.03) L/(h·kg), and Vz/F was (1.19±0.437) L/(h·kg). Conclusion IN could quickly penetrate the skin and accumulate in the skin for a long time, which was beneficial to the pharmacological action of drugs on the lesion site for a long time. The method is simple, rapid, specific and reproducible, which could be successfully applied to the pharmacokinetic study of IN after transdermal administration in rats.
3.Construction and preliminary verification of a nomogram for survival of TKI-treated adult patients with newly diagnosed chronic myelogenous leukemia in the chronic phase
Guangling HU ; Haiping LIANG ; Xuehan MA ; Bei LIU
Journal of Leukemia & Lymphoma 2025;34(1):16-23
Objective:To investigate the related factors affecting the survival of adult patients with newly diagnosed chronic myeloid leukemia in the chronic phase (CML-CP) treated with tyrosine kinase inhibitor (TKI) and the prognostic predictive effect of the nomogram constructed according to them.Methods:A retrospective cohort study was conducted. Clinical general information and laboratory index data of 243 newly diagnosed adult CML-CP patients treated with TKI in the First Hospital of Lanzhou University from December 2008 to June 2023 were collected, and they were divided into a training set (194 patients) and a validation set (49 patients) by complete randomization in the ratio of 8∶2. In the training set, variables affecting poor overall survival (OS) of patients were analyzed using univariate and multivariate Cox proportional hazards models by R4.3.2 software to obtain the independent influences of poor OS, on the basis of which the Cox regression model was constructed and the nomogram predicting the OS rate at 8 and 10 years was plotted. Kaplan-Meier method was applied to analyze the OS in all 243 patients and patients stratified by the screened independent influencing factors for poor OS, and log-rank test was used for comparison between the groups. In the training and validation sets, receiver operating characteristic (ROC) curve was used to analyze the effect of the nomogram on predicting 8- and 10-year OS rates of patients with actual survival as the gold standard; calibration curve was used to assess the accuracy of predictions of the nomogram; decision curve analysis (DCA) was used to assess the clinical utility of the nomogram.Results:The median age of 243 CML-CP patients [ M ( Q1, Q3)] was 46 (35, 58) years old, 150 cases (61.7%) were male and 9 cases (38.3%) were female, 119 cases (49.0%) had comorbidities, and the efficacy of 82 cases (33.7%) reached molecular response (MR) 5.0. Differences in patient compositions for age and gender, levels of major indicators for peripheral blood and bone marrow, spleen size, comorbidities, short-term efficacy, Sokal score, and long-term survival score of European Treatment and Outcomes Study between the training and validation sets were not statistically significant (all P > 0.05). Multivariate Cox regression analysis showed that patients with elevated age ( HR = 1.04, 95% CI: 1.01-1.08, P = 0.041), comorbidities (with vs. without, HR = 3.48, 95% CI: 1.23-9.86, P = 0.019), and those who did not achieve MR5.0 (achieved vs. unachieved, HR = 0.13, 95% CI: 0.02-0.97, P = 0.046) were independent risk factors for poor OS in TKI-treated newly diagnosed adult CML-CP patients. By the last follow-up (December 2023), the median follow-up was 72 months, with the range of 6-180 months. Kaplan-Meier method analysis showed that the 8- and 10-year OS rates of 243 patients were 83.7% and 81.6%, respectively; patients with age ≥46 years compared to <46 years, with comorbidities compared to without comorbidities, and who did not achieve MR5.0 in terms of efficacy compared to who achieved MR5.0, the OS was poorer, and the differences were statistically significant (all P < 0.01). The nomogram of 8- and 10-year OS rates in TKI-treated newly diagnosed adult CML-CP patients was constructed based on the screened independent influencing factors of poor OS. The area under the ROC curve was 0.910 and 0.851 in the training set and 0.778 and 0.764 in the validation set for the predicted 8- and 10-year OS rates based on the nomogram, respectively, and the calibration curve showed that the predicted 8- and 10-year OS rates based on the nomogram were in high agreement with the actual ones in the training and validation sets; the DCA showed that the nomogram within a certain prediction threshold could benefit the clinical decision-making in both the training and validation sets. Conclusions:Having comorbidities, not reaching MR5.0 in efficacy and old age are independent risk factors for poor survival of TKI-treated adult patients with newly diagnosed CML-CP, and the nomogram constructed based on these 3 factors has a good predictive ability for the survival of such patients.
4.Relationship Between Gastroesophageal Reflux Disease-Related Symptoms and Clinicopathologic Characteristics and Long-Term Survival of Patients with Esophageal Adenocarcinoma in China
Kan ZHONG ; Xin SONG ; Ran WANG ; Mengxia WEI ; Xueke ZHAO ; Lei MA ; Quanxiao XU ; Jianwei KU ; Lingling LEI ; Wenli HAN ; Ruihua XU ; Jin HUANG ; Zongmin FAN ; Xuena HAN ; Wei GUO ; Xianzeng WANG ; Fuqiang QIN ; Aili LI ; Hong LUO ; Bei LI ; Lidong WANG
Cancer Research on Prevention and Treatment 2025;52(8):661-665
Objective To investigatethe relationship between gastroesophageal reflux disease (GERD) symptoms and clinicopathological characteristics, p53 expression, and survival of Chinese patients with esophageal adenocarcinoma. Methods A total of
5.Quality evaluation of Jianggui granules by HPLC fingerprint combined with chemometrics
Bei HU ; Yaling CUI ; Liangyu MA ; Zihua XU
Journal of Pharmaceutical Practice and Service 2025;43(10):509-513
Objective To establish the fingerprint of Jianggui granules, and evaluate it by chemometrics. Methods The fingerprint of Jianggui granules was established by HPLC. Similarity evaluation system of chromatographic fingerprint of TCM (2012 edition) was used to evaluate the similarity evaluation. Then, the quality of the drug was assessed by cluster analysis (CA), principal components analysis (PCA) and partial least squares discriminant analysis (PLS-DA). Results The characteristic fingerprint of Jianggui granules was established and 18 common peaks were verified. Five chromatographic peaks were identified,i.e. Puerarin, glycyrrhizin, cinnamic acid, cinnamaldehyde and ammonium glycyrrhizinate. The similarities of samples were >0.9. Results of CA showed that 14 batches of samples could be classified into two categories:S1 and S4 were grouped into one category;others were grouped into the other category. The results of PCA showed that the cumulative contribution rate of the first two principal components was 96.61%. The results of OPLS-DA showed that the eleven peaks with VIP value >1 were puerarin (peak 8), glycyrrhizin (peak 14), cinnamaldehyde (peak 17) and ammonium glycyrrhizinate (peak 18). Conclusion HPLC fingerprint of Jianggui granules was established. The established method was accurate and reliable,which could be used in quality evaluation of Jianggui granules.
6.Risk prediction model construction of postoperative pulmonary infection in lung cancer patients undergoing four-level thoracoscopic surgery based on machine learning algorithms
Jiajia MA ; Xiaoxin LIU ; Bei XUE ; Jing FENG ; Zhengmin ZHANG ; Liping YAO ; Xinxing JU ; Tingting LIU
Journal of Clinical Medicine in Practice 2025;29(6):111-117
Objective To develop and validate risk prediction models utilizing five machine learning algorithms for assessing postoperative pulmonary infection(PPI)risk in lung cancer patients undergoing grade Ⅳ thoracoscopic surgery.Methods A retrospective cohort study included 2,380 lung cancer patients who underwent grade Ⅳ thoracoscopic surgery at a tertiary hospital in Shanghai(January 2022 to June 2024).Patients were stratified into training(n=1,665)and validation(n=715)cohorts.Five machine learning algorithms—Logistic regression(LR),artificial neural network(ANN),support vector machine(S VM),random forest(RF),and extreme gradient boosting(XGB)—were employed to construct predictive models.A nomogram was developed for clinical utility.Results Among 2,380 patients,226(9.5%)developed PPI.The Least Absolute Shrinkage and Se-lection Operator(LASSO)regression identified eight predictive variables:daily cigarette consumption,diabetes history,preoperative diffusing capacity,maximal tumor diameter,24-hour postoperative chest drainage volume,perioperative oral nutritional supplementation(ONS),postoperative urinary cathe-terization,and intraoperative pleural adhesion severity.All models demonstrated robust discrimina-tion,with area under the curve(AUC)values ranging from 0.862 to 0.947.The XGB model a-chieved superior performance(AUC=0.947,95%CI,0.937 to 0.962),followed closely by the LR model(AUC=0.926,95%CI,0.918 to 0.933).Conclusion Machine learning-based algo-rithms models effectively stratify PPI risk in lung cancer patients following grade Ⅳ thoracoscopic surgery.The derived nomogram provides a practical tool for perioperative risk management by healthcare providers.
7.Analysis of concurrent symptom networks and identification of symptom clusters in kidney transplant recipients
Minghuan ZHONG ; Weiwei CAO ; Jingjing YANG ; Chao LIU ; Shuai TANG ; Li MA ; Bei DING ; Yulin NIU
Journal of Clinical Medicine in Practice 2025;29(20):60-66
Objective To explore the symptom clusters in renal transplant recipients and con-struct a concurrent symptom network to identify core symptoms.Methods A total of 343 patients with followed up after renal transplantation were selected as the study subjects.A general information questionnaire and the Chinese version of the Modified Transplant Symptom Occurrence and Symptom Distress Scale were employed to analyze the occurrence of symptoms in patients.In this study,only symptoms with an incidence rate greater than 20%and Spearman correlation coefficient greater than 0.40 between symptom severity and total score were retained.Exploratory factor analysis was used to extract symptom clusters with a factor loading of ≥0.45 as the criterion.The R language was utilized to construct symptom network,based on which core symptoms and bridge symptoms were identified.Results A total of 5 symptom clusters were extracted in this study:the neuro-gastrointestinal symp-tom cluster,the mood-related symptom cluster,the hormone-related symptom cluster,the energy de-ficiency symptom cluster and the vision-related symptom cluster.The core symptoms were anxiety(rs=1.75),mood swings(rs=1.50)and muscle weakness(rs=1.27).The top three symptoms in terms of bridge strength were muscle weakness(rb=0.87),lack of vitality(rb=0.66)and fa-tigue(rb=0.65).Conclusion Multiple symptoms are presented in patients after renal transplanta-tion.Based on the results of symptom network analysis,clinicians can strengthen the assessment of core symptoms and bridge symptoms to develop precise intervention strategies and improve the effectiveness of symptom management.
8.Implementation Effect of Medical Risk Early Warning Monitoring Based on Closed-Loop Complaint Management
Bei YUAN ; Shibei SONG ; Yunting YAO ; Xiao TANG ; Zhanqiang MA
Chinese Hospital Management 2025;45(3):67-71
Objective To analyze the implementation effect of medical risk early warning monitoring based on closed-loop complaint management.Methods A total of 453 patients admitted to the Second People's Hospital of Guizhou Province from January 2022 to December 2023 were selected retrospectively.Among them,222 patients admitted to the departments where the medical risk early warning monitoring system based on closed-loop complaint management was implemented were included in the observation group.231 patients admitted to the departments where routine medical care and complaint management were implemented were included in the control group.Risk events,complaints,medical service quality and patient satisfaction were compared between the two groups.Results The incidence rates of pressure ulcers,phlebitis,falls and other risk events were lower in the observation group than in the control group(P<0.05),the complaint rates of examination departments and auxiliary departments and total were lower in the observation group than in the control group(P<0.05),the complaint rates of service attitude,communication problems and medical dispute were lower in the observation group than in the control group(P<0.05),the satisfaction rate of the observation group was higher than that of the control group(P<0.05),the observation group had higher scores than the control group in terms of health education,communication and notification,coping capacity,specialist skills,basic skills,infection prevention and total(P<0.05).Conclusion The medical risk early warning monitoring system based on closed-loop complaint management can reduce risk events and complaints,and improve medical service quality and satisfaction,it can achieve significant effects in practice.
9.Isokinetic sensorimotor training can improve hand function after a stroke
Jiang MA ; Yu LIU ; Hong LI ; Wanying SHI ; Xiaolin TAO ; Bei ZUO
Chinese Journal of Physical Medicine and Rehabilitation 2025;47(6):499-505
Objective:To observe the effect of isokinetic sensorimotor training on the hand function of stroke survivors.Methods:Forty-two stroke survivors with hand dysfunction were randomly divided into an isokinetic group of 22 and a control group of 20. Both groups were given sensorimotor training in addition to routine drug treatment and rehabilitation therapy, but the isokinetic group was additionally provided with sensorimotor training based on isokinetic techniques for 45 minutes daily, 5 days a week for 4 consecutive weeks. Before and after the intervention, both groups were evaluated using the Semmes-Weinstein monofilament examination (SWME), their two-point discrimination (2-PD) was documented, proprioception of their wrist joints was quantified, and the Fugl-Meyer upper extremity assessment (FMA-UE) and the simplified upper limb function assessment (STEF) were applied.Results:In both groups after treatment, there was a significant improvement in the SWME scores and 2-PD distance of the index finger and the thenar, and there was a significant decrease in the angle of motion perception (at 30° of flexion). The average FMA-UE and STEF scores of both groups had improved. After the treatment, the SWME scores of the index finger and the thenar, as well as well as the average FMA-UE and STEF scores of the isokinetic group were significantly higher than the control group′s averages. Angle of motion perception was also significantly superior.Conclusions:Sensorimotor training based on isokinetic techniques can significantly improve touch, motion sense, gross motor function and the fine motor ability of stroke survivors.
10.Mechanism of Colquhounia Root Tablets against diabetic kidney disease via RAGE-ROS-PI3K-AKT-NF-κB-NLRP3 signaling axis.
Ming-Zhu XU ; Zhao-Chen MA ; Zi-Qing XIAO ; Shuang-Rong GAO ; Yi-Xin YANG ; Jia-Yun SHEN ; Chu ZHANG ; Feng HUANG ; Jiang-Rui WANG ; Bei-Lei CAI ; Na LIN ; Yan-Qiong ZHANG
China Journal of Chinese Materia Medica 2025;50(7):1830-1840
This study aimed to explore the therapeutic mechanisms of Colquhounia Root Tablets(CRT) in treating diabetic kidney disease(DKD) by integrating biomolecular network mining with animal model verification. By analyzing clinical transcriptomics data, an interaction network was constructed between candidate targets of CRT and DKD-related genes. Based on the topological eigenvalues of network nodes, 101 core network targets of CRT against DKD were identified. These targets were found to be closely related to multiple pathways associated with type 2 diabetes, immune response, and metabolic reprogramming. Given that immune-inflammatory imbalance driven by metabolic reprogramming is one of the key pathogenic mechanisms of DKD, and that many core network targets of CRT are involved in this pathological process, receptor for advanced glycation end products(RAGE)-reactive oxygen species(ROS)-phosphatidylinositol 3-kinase(PI3K)-protein kinase B(AKT)-nuclear factor-κB(NF-κB)-NOD-like receptor family pyrin domain containing 3(NLRP3) signaling axis was selected as a candidate target for in-depth research. Further, a rat model of DKD induced by a high-sugar, high-fat diet and streptozotocin was established to evaluate the pharmacological effects of CRT and verify the expression of related targets. The experimental results showed that CRT could effectively correct metabolic disturbances in DKD, restore immune-inflammatory balance, and improve renal function and its pathological changes by inhibiting the activation of the RAGE-ROS-PI3K-AKT-NF-κB-NLRP3 signaling axis. In conclusion, this study reveals that CRT alleviates the progression of DKD through dual regulation of metabolic reprogramming and immune-inflammatory responses, providing strong experimental evidence for its clinical application in DKD.
Animals
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Diabetic Nephropathies/metabolism*
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Receptor for Advanced Glycation End Products/genetics*
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NF-kappa B/genetics*
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Signal Transduction/drug effects*
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Rats
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NLR Family, Pyrin Domain-Containing 3 Protein/genetics*
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Proto-Oncogene Proteins c-akt/genetics*
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Drugs, Chinese Herbal/administration & dosage*
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Male
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Phosphatidylinositol 3-Kinases/genetics*
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Reactive Oxygen Species/metabolism*
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Humans
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Plant Roots/chemistry*
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Rats, Sprague-Dawley
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Tablets/administration & dosage*

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