Objective To investigate the abnormal changes characteristics of the degree centrality(DC)of the brain functional network in patients with benign paroxysmal positional vertigo(BPPV)in the classical frequency band(0.010-0.080 Hz),the slow-4 frequency band(0.027-0.073 Hz),and the slow-5 frequency band(0.010-0.027 Hz).Methods Twenty patients with BPPV(BPPV group)and 14 healthy controls(HC)(HC group)were selected.Resting-state functional magnetic resonance imaging(rs-fMRI)scans were performed,and the clinical data were analyzed.The DC method was used to analyze the changes of centrality of resting state network in patients with BPPV.Results Compared with the HC group,the BPPV group showed an increase in DC in the left caudate nucleus in the classical frequency band(P＜0.05),and a decrease in DC in the right auxiliary motor region in the classical frequency band(P＜0.05);within the slow-4 frequency band,no significant differences were observed in brain regions(P＞0.05);within the slow-5 frequency band,the BPPV group showed an increase in DC in the left thalamus(P＜0.05),while the left anterior cingulate and paracingulate gyrus showed a decrease in DC(P＜0.05).Conclusion Patients with BPPV have spontaneous activity disorders in multiple brain regions at resting states,and these changes show frequency band specificity.

Objective To construct and verify a risk prediction model of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer,and to screen the optimal model by using machine learning algorithm,so as to provide references for clinical formulation of a nursing risk management plan.Methods The convenience sampling method was used to retrospectively select 476 patients who underwent thoracoscopic radical resection of lung cancer in a tertiary hospital in Hangzhou,Zhejiang Province from January to December 2023 as a construction group.Logistic regression,decision tree,random forest and naive Bayesian model were constructed by SPSS 29.0 and R 4.3.0 software.The prediction performance of each model was compared by accuracy,precision,recall,F1 score and area under the receiver operating characteristic curve,and the optimal model was screened.From January to June 2024,204 patients in the unit were prospectively selected as the research subjects of an external validation group.The discrimination and calibration of the optimal model were evaluated by AUC value and calibration curve.Results A total of 680 patients completed the survey.All 4 models showed that multimodal analgesia,thoracic drainage tube type,pain score,tracheal intubation type,state anxiety and catheter indwelling time were the influencing factors of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer(P＜0.05).The 4 risk prediction models showed that the random forest prediction model had the best comprehensive performance.The external verification results showed that the AUC value was 0.913,and the calibration curve fitted well with the 45° ideal line.Conclusion Among the 4 risk prediction models,the random forest prediction model has the best performance,which is more suitable for the assessment of the risk of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer,and has good generalization and clinical application value.

Objective To investigate the abnormal changes characteristics of the degree centrality(DC)of the brain functional network in patients with benign paroxysmal positional vertigo(BPPV)in the classical frequency band(0.010-0.080 Hz),the slow-4 frequency band(0.027-0.073 Hz),and the slow-5 frequency band(0.010-0.027 Hz).Methods Twenty patients with BPPV(BPPV group)and 14 healthy controls(HC)(HC group)were selected.Resting-state functional magnetic resonance imaging(rs-fMRI)scans were performed,and the clinical data were analyzed.The DC method was used to analyze the changes of centrality of resting state network in patients with BPPV.Results Compared with the HC group,the BPPV group showed an increase in DC in the left caudate nucleus in the classical frequency band(P＜0.05),and a decrease in DC in the right auxiliary motor region in the classical frequency band(P＜0.05);within the slow-4 frequency band,no significant differences were observed in brain regions(P＞0.05);within the slow-5 frequency band,the BPPV group showed an increase in DC in the left thalamus(P＜0.05),while the left anterior cingulate and paracingulate gyrus showed a decrease in DC(P＜0.05).Conclusion Patients with BPPV have spontaneous activity disorders in multiple brain regions at resting states,and these changes show frequency band specificity.

Objective To construct and verify a risk prediction model of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer,and to screen the optimal model by using machine learning algorithm,so as to provide references for clinical formulation of a nursing risk management plan.Methods The convenience sampling method was used to retrospectively select 476 patients who underwent thoracoscopic radical resection of lung cancer in a tertiary hospital in Hangzhou,Zhejiang Province from January to December 2023 as a construction group.Logistic regression,decision tree,random forest and naive Bayesian model were constructed by SPSS 29.0 and R 4.3.0 software.The prediction performance of each model was compared by accuracy,precision,recall,F1 score and area under the receiver operating characteristic curve,and the optimal model was screened.From January to June 2024,204 patients in the unit were prospectively selected as the research subjects of an external validation group.The discrimination and calibration of the optimal model were evaluated by AUC value and calibration curve.Results A total of 680 patients completed the survey.All 4 models showed that multimodal analgesia,thoracic drainage tube type,pain score,tracheal intubation type,state anxiety and catheter indwelling time were the influencing factors of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer(P＜0.05).The 4 risk prediction models showed that the random forest prediction model had the best comprehensive performance.The external verification results showed that the AUC value was 0.913,and the calibration curve fitted well with the 45° ideal line.Conclusion Among the 4 risk prediction models,the random forest prediction model has the best performance,which is more suitable for the assessment of the risk of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer,and has good generalization and clinical application value.

Objective:To compare the effectiveness and safety profile of centrifugal and membrane plasma separation model in artificial liver therapy with a dual plasma molecular adsorption system (DPMAS).Method:A retrospective study was conducted. Data of inpatients with liver failure who were treated with DPMAS therapy in the Liver Disease Center of Nanfang Hospital, Southern Medical University, from October 2022 to June 2024 were included. Clinical data such as demographic characteristics, etiology, DPMAS treatment-related indicators (including plasma separation method, vascular access, frequency of treatment, treatment duration, type of anticoagulant drugs, and membrane rupture condition), and laboratory test indicators before and after DPMAS treatment were collected. Categorical variables were compared by the χ2 test. Continuous variables were compared using a t-test or a non-parametric test between groups. Result:Data of 232 cases with liver failure who received artificial liver therapy with DPMAS were included. A total of 473 times DPMAS treatment was given. The average age was 50 years old, and males accounted for 82.3%. Centrifugal plasma separation was the initial DPMAS treatment in 176 (75.9%) cases, while membrane plasma separation was used in 56 cases (24.1%). The most common vascular access for DPMAS treatment was the internal jugular vein. The most commonly used anticoagulant was unfractionated heparin. The treatment duration of DPMAS was significantly higher with centrifugal separation than that with membrane separation ( P<0.001). Hemoglobin levels (mean before and after treatment in the centrifugal: 112.8 g/L vs. 106.3 g/L, P<0.001; mean before and after treatment in the membrane group: 108.4 g/L vs. 103.3 g/L, P<0.001), red blood cell count (mean before and after treatment in the centrifugal group: 3.7×10 9/L vs. 3.5×10 9/L, P<0.001; mean before and after treatment in the membrane group: 3.5×10 9/L vs. 3.3×10 9/L, P<0.001) and platelet count (mean before and after treatment in the centrifugal group: 134.5×10 9/L vs. 119.6×10 9/L, P<0.001; mean before and after treatment in the membrane group: 120.7 ×10 9/L vs. 97.3 ×10 9/L, P<0.001) were slightly decreased following initial DPMAS treatment in both groups. The decrease in platelets was significantly lower in centrifugal separation than that in membrane separation (median: 10.4% vs. 17.0%; P=0.003). There was no statistically significant difference observed in the proportion of puncture site bleeding in terms of plasma separation-related adverse events between the two groups, but plasma separator membrane rupture occurred two times in the DPMAS treatment. Conclusion:Centrifugal and membrane separation, both with DPMAS therapy, can cause a slight decrease in hemoglobin, red blood cell count, and platelets in patients with liver failure. Membrane separation causes a larger drop in platelets than centrifugal plasma separation. The operational convenience of medical personnel, the risk of membrane rupture, the coagulation markers, the patient's vascular condition, and other factors should be comprehensively considered when choosing the plasma separation model.

Objective:To compare the effectiveness and safety profile of centrifugal and membrane plasma separation model in artificial liver therapy with a dual plasma molecular adsorption system (DPMAS).Method:A retrospective study was conducted. Data of inpatients with liver failure who were treated with DPMAS therapy in the Liver Disease Center of Nanfang Hospital, Southern Medical University, from October 2022 to June 2024 were included. Clinical data such as demographic characteristics, etiology, DPMAS treatment-related indicators (including plasma separation method, vascular access, frequency of treatment, treatment duration, type of anticoagulant drugs, and membrane rupture condition), and laboratory test indicators before and after DPMAS treatment were collected. Categorical variables were compared by the χ2 test. Continuous variables were compared using a t-test or a non-parametric test between groups. Result:Data of 232 cases with liver failure who received artificial liver therapy with DPMAS were included. A total of 473 times DPMAS treatment was given. The average age was 50 years old, and males accounted for 82.3%. Centrifugal plasma separation was the initial DPMAS treatment in 176 (75.9%) cases, while membrane plasma separation was used in 56 cases (24.1%). The most common vascular access for DPMAS treatment was the internal jugular vein. The most commonly used anticoagulant was unfractionated heparin. The treatment duration of DPMAS was significantly higher with centrifugal separation than that with membrane separation ( P<0.001). Hemoglobin levels (mean before and after treatment in the centrifugal: 112.8 g/L vs. 106.3 g/L, P<0.001; mean before and after treatment in the membrane group: 108.4 g/L vs. 103.3 g/L, P<0.001), red blood cell count (mean before and after treatment in the centrifugal group: 3.7×10 9/L vs. 3.5×10 9/L, P<0.001; mean before and after treatment in the membrane group: 3.5×10 9/L vs. 3.3×10 9/L, P<0.001) and platelet count (mean before and after treatment in the centrifugal group: 134.5×10 9/L vs. 119.6×10 9/L, P<0.001; mean before and after treatment in the membrane group: 120.7 ×10 9/L vs. 97.3 ×10 9/L, P<0.001) were slightly decreased following initial DPMAS treatment in both groups. The decrease in platelets was significantly lower in centrifugal separation than that in membrane separation (median: 10.4% vs. 17.0%; P=0.003). There was no statistically significant difference observed in the proportion of puncture site bleeding in terms of plasma separation-related adverse events between the two groups, but plasma separator membrane rupture occurred two times in the DPMAS treatment. Conclusion:Centrifugal and membrane separation, both with DPMAS therapy, can cause a slight decrease in hemoglobin, red blood cell count, and platelets in patients with liver failure. Membrane separation causes a larger drop in platelets than centrifugal plasma separation. The operational convenience of medical personnel, the risk of membrane rupture, the coagulation markers, the patient's vascular condition, and other factors should be comprehensively considered when choosing the plasma separation model.

Environmental endocrine disruptors (EDCs) are ubiquitous in the environment, and detectable amounts are found in humans worldwide. EDCs can interact with nuclear receptors such as estrogen receptor, which could interfere with the normal function of endocrine system, and further cause the pathological alterations in the tissues. This article summarizes several common types of EDCs in the environment, which caused cardiac function abnormalities, and morphological growth malformations in heart as well as its relevant mechanisms, including oxidative stress, inflammatory response, changes in signal transduction, expressions of transcriptional regulatory factors, which are related to cardiac development, receptor pathways and cell apoptosis etc., for the purpose of understanding the process of EDCs-induced cardiac developmental toxicity, and further providing scientific theoretical basis for figuring out the toxicity mechanism of EDCs and the prevention and treatment of cardiac diseases.

Environmental endocrine disruptors (EDCs) are ubiquitous in the environment, and detectable amounts are found in humans worldwide. EDCs can interact with nuclear receptors such as estrogen receptor, which could interfere with the normal function of endocrine system, and further cause the pathological alterations in the tissues. This article summarizes several common types of EDCs in the environment, which caused cardiac function abnormalities, and morphological growth malformations in heart as well as its relevant mechanisms, including oxidative stress, inflammatory response, changes in signal transduction, expressions of transcriptional regulatory factors, which are related to cardiac development, receptor pathways and cell apoptosis etc., for the purpose of understanding the process of EDCs-induced cardiac developmental toxicity, and further providing scientific theoretical basis for figuring out the toxicity mechanism of EDCs and the prevention and treatment of cardiac diseases.

【Objective】 To study the effect of air inlet modes on the temperature variation, fluctuation, uniformity and coefficient of variation(CV), so as to evaluate the stability and uniformity of the temperature field in refrigerated warehouse for blood. 【Methods】 The temperature changes of blood refrigerated warehouse under different modes of air inlet during compressor operation were analyzed. The stability of the temperature field in the storehouse was evaluated by the changes, fluctuation, uniformity, CV and deviation of temperature at each testing point. 【Results】 The average value of temperature in the storehouse, adopting air inlet via straight blow, was (4.98±0.92)℃, while that of air inlet via micro-hole mode was(4.15±0.25)℃, with significant differences between each other(P<0.05). As to the CV of temperature, air inlet via straight blow was significantly different from that via micro hole(P<0.01). The fluctuation, uniformity and deviation of temperature created by straight blow and micro hole were 1.85±1.11 vs 0.49±0.38, 1.00±0.68 vs 0.47±0.37, and 0.61±0.45 vs 0.27±0.21, respectively, with significant differences between each other(P<0.01). 【Conclusion】 Compared with straight blow, the mean temperature created by micro hole was closer to the median value (4℃) of the temperature range, i. e.(4±2)℃, during blood storage. Otherwise, micro hole demonstrated a smaller CV of temperature, and superior performance in fluctuation, uniformity and deviation of the temperature at the testing points, which was conducive to ensure the stability of storehouse temperature field.

OBJECTIVE: To explore the cause of abortion and strategy of prenatal diagnosis for pregnant women with high risk for chromosomal abnormalities by using copy number variation sequencing (CNV-seq) and short tandem repeats (STR) analysis. METHODS: A total of 36 samples were collected, including amniotic fluid, abortion tissue, whole blood, chorionic villi and umbilical cord blood. CNV-seq and STR analysis were carried out to detect microdeletions, microduplications, chromosomal aneuploidies, mosaicisms and triploidies. RESULTS: Among all samples, 1 was detected with 4p15.1p16.3 and 14q11.1q22.1 duplication, 1 was detected with 19p13.3 deletion, 8 were detected with chromosomal aneuploidies, 4 were detected with mosaicisms, two were detected with triploidies. No definite pathogenic CNVs were detected in 20 samples, which yielded a positive detection rate of 44.44%. CONCLUSION As a high-throughput detection method, CNV-seq has the advantages of rapidity, simplicity and high accuracy. It may suit prenatal diagnosis and analysis of abortion factors in combination with STR analysis.
Abortion, Spontaneous/genetics* ; DNA Copy Number Variations ; Female ; Humans ; Karyotyping ; Microsatellite Repeats ; Pregnancy ; Prenatal Diagnosis