Objective:To investigate the application value of 72-hour three-lead electrocardiogram(ECG)monitoring with adhesive patch(AP)in patients with palpitation.Methods:A retrospective analysis was performed for the medical history and ECG data of the patients who underwent 72-hour three-lead ECG monitoring with AP due to palpitation in The First Affiliated Hospital of Chongqing Medical University.The incidence rates of arrhythmia and transient ST-T changes were compared at 24 and 72 hours,as well as the rate difference between the detection rate of arrhythmia and transient ST-T changes at 72 hours and the detection rate at 24 hours in the context of various risk factors such as age,hypertension,hyperlipidemia,and coronary heart disease.Results:Among the 216 pa-tients with palpitation,the detection rates of various types of arrhythmia and transient ST-T changes at 72 hours were significantly higher than those at 24 hours(P<0.05).The rate difference of atrial premature beats in patients aged<60 years was significantly higher than that in patients aged≥60 years(P<0.01).The rate difference of atrial premature beats in hypertensive patients was lower than that in non-hypertensive patients(P<0.05).The rate difference of T-wave changes in patients without hypertension or coronary heart dis-ease was greater than that in patients with hypertension or coronary heart disease(P<0.01).Compared with 24-hour three-lead ECG monitoring,72-hour three-lead ECG monitoring with AP can significantly improve the detection rate of arrhythmia and transient ST-T changes.In patients with palpitation aged<60 years or without hypertension,72-hour three-lead ECG monitoring with AP is more sen-sitive to atrial premature beats which are consistent with self-perceived symptoms,and in patients with palpitation without hyperten-sion or coronary heart disease,72-hour three-lead ECG monitoring with AP is more sensitive to transient T-wave changes associated with symptoms.Conclusion:The technique of 72-hour three-lead ECG monitoring with AP greatly promotes the accuracy and timeli-ness of diagnosis,reduces the economic burden of patients with pal-pitations,and optimizes the allocation of medical resources.

Objective:To investigate the value of electrical cardiometry(EC),a noninvasive hemodynamic testing technique,in the di-agnosis of heart failure(HF)in adults.Methods:A prospective study was conducted among the adult patients who were hospitalized in Department of Cardiology,The First Affiliated Hospital of Chongqing Medical University,from September 2022 to May 2024,and the patients who were diagnosed with HF were enrolled as HF group,while those who were excluded from the clinical diagnosis of HF were enrolled as control group.The two groups were compared in terms of general clinical data and related parameters measured by EC,in-cluding stroke volume variation(SVV),systolic time ratio(STR),pre-ejection period(PEP),index of contractility(ICON),ICON varia-tion(VIC),left ventricular ejection time(LVET),and left ventricular ejection fraction(LVEF).A multivariate logistic regression model established by the forward method was used to investigate the factors associated with HF.The receiver operating characteristic(ROC)curve was plotted for the hemodynamic parameters measured by EC in the diagnosis of HF,and the area under the ROC curve(AUC)was calculated.Results:A total of 239 patients were enrolled,with 126 in the HF group and 113 in the control group.Compared with the control group,the HF group had significantly higher SVV,STR,PEP,VIC,and age and significantly lower ICON,LVET,and LVEF(all P<0.001).The multivariate logistic regression model estab-lished by the forward method showed that STR(odds ratio[OR]=1.199,95%CI=1.110-1.294,P<0.001),VIC(OR=1.176,95%CI=1.090-1.269,P<0.001),and age(OR=1.068,95%CI=1.010-1.128,P<0.05)were positively correlated with HF,and ICON(OR=0.968,95%CI=0.941-0.996,P<0.05)and LVEF(OR=0.854,95%CI=0.798-0.913,P<0.001)were negatively correlated with HF.The ROC curve analysis showed that STR,VIC,and ICON had an AUC of 0.887(95%CI=0.848-0.927),0.891(95%CI=0.851-0.932),and 0.718(95%CI=0.654-0.782),respectively,in the diagnosis of HF,with an optimal cut-off value of 37.5%,19.5%,and 49.3,respec-tively,a sensitivity of 91.3%,73.8%,and 50.0%,respectively,and a specificity of 61.4%,93.8%,and 86.7%,respectively.Among these indicators,STR combined with VIC had an AUC of 0.940(95%CI=0.912-0.967)in the diagnosis of HF,with a sensitivity of 83.3%and a specificity of 91.2%.Conclusion:The EC method can effectively assess the cardiac functional status of adult patients,and STR combined with VIC has some clinical value for the diagnosis of heart failure.

The incidence of delayed chemotherapy-induced nausea and vomiting is relatively high among pediatric cancer patients. Nausea and vomiting symptoms can exacerbate physical and psychological burdens, potentially leading to aversion and reduced treatment adherence. This paper analyzes and summarizes delayed chemotherapy-induced nausea and vomiting in pediatric cancer patients, covering overview, influencing factors, assessment tools, and non-pharmacological interventions, aiming to provide insights for clinical prevention and intervention strategies targeting delayed chemotherapy-induced nausea and vomiting in pediatric patients.

Diabetes is a chronic disease that requires lifelong medication and long-term management. The longer the duration of the disease, the more likely it is to lead to progressive chronic complications affecting the eyes, kidneys, nervous system, and cardiovascular system. These complications may result in gradual functional decline or even organ failure, and may also trigger severe acute metabolic disorders. The cumulative financial burden on patients and their families can be substantial, giving rise to what is known as financial toxicity, which in turn may negatively affect patients' health outcomes. This review comprehensively explores the concept of financial toxicity in diabetic patients, including its assessment tools, influencing factors, and coping strategies. It also offers targeted suggestions aimed at informing the development of more scientific and effective systemic interventions, with the ultimate goal of improving treatment outcomes and quality of life for individuals living with diabetes.

Objective To establish a model to predict the severity of patients with COVID-19 associated diarrhea by analyzing the differences of laboratory detection indicators in different grades of patients with COVID-19 associated diarrhea.Methods A total of 649 COVID-19 patients combined with diarrhea hospitalized in Wuhan Huoshenshan Hospital from February 2020 to April 2020 were retrospectively selected,and the patients with obvious causes of diarrhea had been excluded.They were further divided into the common group(n=282),severe group(n=314),and critical group(n=53),and the differences in clinical and laboratory indicators among the three groups were compared.The XGBoost model was established,and its diagnostic efficacy in predicting the severity of patients with COVID-19 associated diarrhea was evaluated by the ROC curve.Results There were statistically significant differences in blood routine test,liver function,electrolytes,fecal occult blood and other laboratory indicators among the three groups of COVID-19 associ-ated diarrhea(P＜0.05).The white blood cell count,absolute value and percentage of neutrophils,and levels of serum lactate dehydro-genase(LDH),α-hydroxybutyrate dehydrogenase(α-HBDH),γ-glutamyl transpeptidase(GGT),B-type natriuretic peptide,and blord glucose(Glu)in the critical group were significantly higher than those in the common group and severe group(P＜0.05),while the percentages of lymphocytes,monocytes,eosinophils,and basophils,and chloride concentration were significantly lower than those in the common group and severe group(P＜0.05).The results of the ROC curve showed that the prediction model constructed by eight indicators,including C-reactive protein(CRP),LDH,interleukin-6(IL-6),Glu,PT％activity,chloride(Cl-),D-dimer(DD),and procalcitonin(PCT),had significant predictive value for critical patients(AUCROC=0.939),but no obvious predictive value for the patients in the common group(AUCROC=0.630)and severe group(AUCROC=0.553).Conclusion The COVID-19 patients com-bined with diarrhea have a higher probability of developing severe or critical conditions compared with those without diarrhea.The indi-cators such as CRP,LDH,IL-6,Glu,PT％activity,Cl-,DD,and PCT have significant predictive value on whether the COVID-19 patients combined with diarrhea turn to critical illness.

The incidence of delayed chemotherapy-induced nausea and vomiting is relatively high among pediatric cancer patients. Nausea and vomiting symptoms can exacerbate physical and psychological burdens, potentially leading to aversion and reduced treatment adherence. This paper analyzes and summarizes delayed chemotherapy-induced nausea and vomiting in pediatric cancer patients, covering overview, influencing factors, assessment tools, and non-pharmacological interventions, aiming to provide insights for clinical prevention and intervention strategies targeting delayed chemotherapy-induced nausea and vomiting in pediatric patients.

Diabetes is a chronic disease that requires lifelong medication and long-term management. The longer the duration of the disease, the more likely it is to lead to progressive chronic complications affecting the eyes, kidneys, nervous system, and cardiovascular system. These complications may result in gradual functional decline or even organ failure, and may also trigger severe acute metabolic disorders. The cumulative financial burden on patients and their families can be substantial, giving rise to what is known as financial toxicity, which in turn may negatively affect patients' health outcomes. This review comprehensively explores the concept of financial toxicity in diabetic patients, including its assessment tools, influencing factors, and coping strategies. It also offers targeted suggestions aimed at informing the development of more scientific and effective systemic interventions, with the ultimate goal of improving treatment outcomes and quality of life for individuals living with diabetes.

Objective To establish a model to predict the severity of patients with COVID-19 associated diarrhea by analyzing the differences of laboratory detection indicators in different grades of patients with COVID-19 associated diarrhea.Methods A total of 649 COVID-19 patients combined with diarrhea hospitalized in Wuhan Huoshenshan Hospital from February 2020 to April 2020 were retrospectively selected,and the patients with obvious causes of diarrhea had been excluded.They were further divided into the common group(n=282),severe group(n=314),and critical group(n=53),and the differences in clinical and laboratory indicators among the three groups were compared.The XGBoost model was established,and its diagnostic efficacy in predicting the severity of patients with COVID-19 associated diarrhea was evaluated by the ROC curve.Results There were statistically significant differences in blood routine test,liver function,electrolytes,fecal occult blood and other laboratory indicators among the three groups of COVID-19 associ-ated diarrhea(P＜0.05).The white blood cell count,absolute value and percentage of neutrophils,and levels of serum lactate dehydro-genase(LDH),α-hydroxybutyrate dehydrogenase(α-HBDH),γ-glutamyl transpeptidase(GGT),B-type natriuretic peptide,and blord glucose(Glu)in the critical group were significantly higher than those in the common group and severe group(P＜0.05),while the percentages of lymphocytes,monocytes,eosinophils,and basophils,and chloride concentration were significantly lower than those in the common group and severe group(P＜0.05).The results of the ROC curve showed that the prediction model constructed by eight indicators,including C-reactive protein(CRP),LDH,interleukin-6(IL-6),Glu,PT％activity,chloride(Cl-),D-dimer(DD),and procalcitonin(PCT),had significant predictive value for critical patients(AUCROC=0.939),but no obvious predictive value for the patients in the common group(AUCROC=0.630)and severe group(AUCROC=0.553).Conclusion The COVID-19 patients com-bined with diarrhea have a higher probability of developing severe or critical conditions compared with those without diarrhea.The indi-cators such as CRP,LDH,IL-6,Glu,PT％activity,Cl-,DD,and PCT have significant predictive value on whether the COVID-19 patients combined with diarrhea turn to critical illness.

Objective To investigate the electrophysiological characteristics of hamster primary cortical neurons by using the whole-cell patch-clamp recordings in a Mg2+-free cell model of epilepsy.Methods The cerebral cortex were isolated for primary neuron culture from neonatal Syrian hamsters 1-2 days after birth.After 12 days,primary neurons were exposed to normal external(Mg2+group)or Mg2+-free external(Mg2+-free group)respectively for 3 hours,followed by a 24-hour incubation in normal culture medium.Excitatory postsynaptic currents(EPSC)and excitatory postsynaptic potentials(EPSP)were recorded in voltage clamp mode and current clamp mode using whole-cell patch-clamp recordings,respectively.Results Compared to Mg2+group,the frequency of EPSC[(124.38±75.15)Hz vs.(33.93±22.32)Hz,P<0.001](P<0.001)and EPSP[(37.05±38.37)Hz vs.(5.63±9.52)Hz,P<0.01]in primary cortical neurons from the Mg2+-free group increased significantly.Meanwhile,there were no statistically significant differences in the amplitude,area under the curve and half-width of EPSC and EPSP between the two groups(P>0.05).Conclusion The present study demonstrates an increase in excitability of primary hamsters cortical neurons after Mg2+depletion,suggesting that these neurons can be utilized to use to create cell models of epilepsy.

Bupleuri radix is the dried root of Bupleuri radix or narrow-leaved Bupleuri radix of the umbelliferae family,and it is the most commonly used traditional Chinese medicine,which was first published in Shennong's Classic of Materia Medica.It has a variety of pharmacological effects such as anti-inflammatory,antioxidant,hepatoprotective,antitumor,antidepressant,et al.In the modern study,the extract of Bupleuri radix mainly includes a variety of chemical components such as Bupleuri radix saponin,flavonoids and volatile oil.By reviewing the relevant literature at home and abroad,this paper summarizes the research progress on the chemical composition and pharmacological effects of Bupleuri radix,and points out the future research direction to provide a certain reference basis for the subsequent research.