BACKGROUND: Blood glucose and serum albumin have been associated with cardiovascular disease prognosis, but the impact of admission-blood-glucose-to-albumin ratio (AAR) on adverse outcomes in critical ill coronary artery disease (CAD) patients was not investigated. METHODS: Patients diagnosed with CAD were non-consecutively selected from the MIMIC-IV database and categorized into quartiles based on their AAR. The primary outcome was 1-year mortality, and secondary endpoints were in-hospital mortality, acute kidney injury (AKI), and renal replacement therapy (RRT). A restricted cubic splines model and Cox proportional hazard models assessed the association between AAR and adverse outcomes in CAD patients. Kaplan-Meier survival analysis determined differences in endpoints across subgroups. RESULTS: A total of 8360 patients were included. There were 726 patients (8.7%) died in the hospital and 1944 patients (23%) died at 1 year. The incidence of AKI and RRT was 63% and 4.3%, respectively. High AAR was markedly associated with in-hospital mortality (HR = 1.587, P = 0.003), 1-year mortality (HR = 1.502, P < 0.001), AKI incidence (HR = 1.579, P < 0.001), and RRT (HR = 1.640, P < 0.016) in CAD patients in the completely adjusted Cox proportional hazard model. Kaplan-Meier survival analysis noted substantial differences in all endpoints based on AAR quartiles. Stratified analysis and interaction test demonstrated stable correlations between AAR and outcomes. CONCLUSIONS The results highlight that AAR may be a potential indicator for assessing in-hospital mortality, 1-year mortality, and adverse renal prognosis in critical CAD patients.

Premenstrual dysphoric disorder (PMDD) is considered a severe form of premenstrual syndrome (PMS). As a key brain region involved in emotional regulation and stress responses, the amygdala has been implicated in the pathogenesis of PMS/PMDD. The amygdala is composed of multiple subregions, each playing distinct roles in emotion, memory, and stress responses, and forms complex brain areas. Summarizing the interconnections among amygdala, subregions and their connectivity with external areas, and exploringt the neuroimaging characteristics of the amygdala, as well as changes in its neural circuits and brain networks in these patients, will help provide a theoretical foundation for targeted modulation of amygdala function in the treatment of PMS/PMDD.
Humans ; Amygdala/diagnostic imaging* ; Female ; Premenstrual Dysphoric Disorder/pathology* ; Premenstrual Syndrome/pathology* ; Emotions/physiology* ; Magnetic Resonance Imaging

To establish and optimize a method for the detection of recombinant human midkine (rhMK) activity and verify its methodology, cell counting kit-8 (cck-8) method was used to measure the proliferation activity of rat knee chondrocytes. The specificity, accuracy, precision, linearity and robustness of the method were also verified in this study. The established method was proven to have good specificity because the buffer of rhMK and recombinant human interleukin-1 receptor antagonist have no obvious active effect; the recoveries of the samples with relative activities of 50%, 75%, 100%, 125%, 150% were in the range of 80.0% to 124.0% by statistical analysis, the relative standard deviations (RSD) of relative potency were all within 20%, the linear correlation coefficient, R² ≥ 0.98, suggesting that the accuracy, precision and linearity of the method were good; the robustness correlation coefficient, R² ≥ 0.92 and the ratio of maximum to minimum of sigmoidal dose-response were no less than 1.5, indicating that robustness of the methods was good. In conclusion, a bioactivity measurement method for rhMK was established and fully validated in this study and it provides a reliable method for the bioactivity analysis of rhMK routine samples during the development. This study was approved by the Animal Care and Use Committee of Shanghai Model Organisms Center, Inc. (approval number: 2019-0008-06).

Objective To analyze the pathogenic characteristics and drug sensitivity of candidaemia,and construct a short-term mortality risk prediction scoring model.Methods The clinical data of patients with candidaemia admitted to the 909 Hospital of Joint Logistics Support Force from January 2011 to December 2020 were retrospectively analyzed,and the composition of pathogen composition,drug sensitivity test results and incidence of hospitalized patients were analyzed.324 cases of candidaemia were randomly divided into modeling group(190 cases)and validation group(134 cases),and the risk factors were screened by binary logistic regression.According to the odds ratio(OR)score,the 30 day mortality risk prediction scoring model was constructed,and the predictive performance of the model was verified both in modeling and validation groups.Results 356 strains of Candida including 126 strains of C.albicans(35.39%),79 strains of C.tropicalis(22.19%),74 strains of C.parapsilosis(20.79%),48 strains of C.glabrata(13.48%),14 strains of C.guilliermondii(3.93%),8 strains of C.krusei(2.25%),and 7 strains of other Candida(1.97%)were detected in 336 patients with candidemia.The incidence of candidaemia among hospitalized patients increased from 0.20 ‰ in 2011 to 0.48 ‰ in 2020.The resistance rate of candida to amphotericin B was significantly lower than that of fluconazole,voriconazole and itraconazole(P＜0.05).Among the 324 cases included in the model,95 patients died in 30 days after diagnosis,and the mortality rate was 29.32%.The proportion of males,fever,and parenteral nutrition in modeling group was significantly higher than that in validation group(P＜0.05),while the proportion of chronic lung disease and surgical history within one month were lower than those in validation group(P＜0.05).Logistic regression analysis showed that chronic renal failure,mechanical ventilation,severe neutropenia,failure to receive anti-fungal treatment within 72 hours,and APACHE Ⅱ≥20 were risk factors for short-term death of candidaemia,the OR values were 3.179,1.970,2.979,2.080,and 2.399,and the risk scores were 6,4,6,4,and 5,respectively.The area under the curve(AUC)of the risk scoring model for modeling group was 0.792(95%CI 0.721-0.862),and the result of Hosmer-Lemeshow(H-L)test was P=0.305;The AUC of validation group was 0.796(95%CI 0.735-0.898),and the H-L test result was P=0.329.A risk score≤8 indicated a low risk group for short-term mortality,a score of 9-15 indicated a medium risk group,and a score≥16 indicated a high risk group.Conclusions The incidence of candidemia in hospitalized patients is increasing and the mortality is high.The risk prediction score model can effectively predict the short-term prognosis and facilitate the early identification of the prognosis.

Objective:To investigate the genotype,mutation type,and ethnic distribution characteristics of thalassemia in the population of Hechi area,Guangxi,and to provide a reference basis for prevention and control of thalassemia and eugenic counseling in the region.Methods:Gap-polymerase chain reaction(gap-PCR)and reverse dot blot(RDB)were used for genetic testing on suspected thalassemia persons,and the results were analyzed.Results:Among 29 136 samples,a total of 17 016(58.40％)positive samples for thalassemia genes were detected,with a higher detection rate in males than in females(X2=49.917,P＜0.001).The detection rates of thalassemia genes were significant different among Zhuang,Han,Yao,Mulao,and Maonan ethnic groups(x2=546.121,P＜0.001).The α-thalassemia genotypes were mainly--SEA/αα(16.67％),-α3.7/αα(8.90％),αCSα/αα(6.00％).Additionally,four rare genotypes were detected,including--THAI/αα(47 cases),HKαα/αα(2 cases),--SEA/-α21.9(2 cases),and--THAI/αcsα(1 case).The β-thalassemia genotypes were mainly βCD17/βN(7.49％),βCD41-42/βN(6.70％),βCD71-72/βN(0.44％).108 cases of moderate and severeβ-thalassemia were detected,of which 81 cases had a history of blood transfusion,the transfusion frequency of 60 cases was more than 10 times/year,and 10 cases received bone marrow transplantation.Conclusion:Thalassemia in Hechi area is predominantly deletion type--SEA/αα,the detection rate of thalassemia in ethnic minorities is higher than that in Han population.In this area,moderate and severe β-thalassemia have certain incidence,these patients mostly need regular blood transfusion and iron removal treatment,and very few patients have received bone marrow transplantation.This study provides a certain reference basis for prevention and control of thalassemia and eugenic counseling in the region.

Objective:To explore the mechanism of hypertension inducing erectile dysfunction(ED)using transcriptomics and network pharmacology.Methods:We randomly divided 12 male rats with spontaneous hypertension(SHT)into an L-arginine(LA)group(n=6)and an SHT model control(MC)group(n=6),took another 6 Wistar Kyoto male rats as normal controls(NC),and treated the animals in the LA group by intraperitoneal injection of LA at 400 mg/kg and those in the latter two groups with physio-logical saline,once a day,all for 7 days.Then we observed the blood pressure and penile erection of the rats,and determined the ex-pressions of the cGMP/PKG signaling pathway-related proteins and mRNAs in different groups using ELISA,Western blot and RT-qPCR.Results:Transcriptomics combined with network pharmacology showed that the cGMP/PKG signaling pathway played a key role in hypertension-induced ED.In vivo animal experiments revealed a significantly lower frequency of penile erections in the MC than in the NC group(1.33±0.52 vs 2.67±0.51,P＜0.05).The protein expressions of eNOS,PKG and sGC were markedly de-creased in the model controls compared with those the normal controls(P＜0.05),but remarkably upregulated in the LA group com-pared with those in the MC group(P＜0.05).Conclusion:Hypertension decreases the expressions of eNOS,NO,sGC,cGMP and PKG proteins and the level of testosterone by inhibiting the cGMP/PKG signaling pathway,which consequently suppresses the relaxa-tion of the penile vascular smooth muscle and reduces erectile function.

Objective To observe the clinical efficacy and safety of lupatadine tablets combined with azelastine hydrochloride nasal spray in the treatment of allergic rhinitis patients.Methods Patients with allergic rhinitis were randomly divided into control group and treatment group.Both groups received general treatment.On this basis,the control group was given azelastine hydrochloride nasal spray 0.14 mg per nostril each time,bid;on the basis of control group,the treatment group received lupatadine tablets 10 mg each time,orally,qd.Two groups were treated for 4 weeks.The clinical efficacy,rhinoconjunctivitis related quality of life questionnaire(RQLQ),serum indexes[interleukin-6(IL-6),IL-1 β,tumor necrosis factor-α(TNF-α),immunoglobulin E(IgE)]and safety were compared between the two groups.Results Treatment group were enrolled 53 cases,4 cases dropped out,and 49 cases were finally included in the statistical analysis.Control group were enrolled 53 cases,4 cases dropped out,and 49 cases were finally included in the statistical analysis.After treatment,the total effective rates of the treatment and control groups were 95.92％(47 cases/49 cases)and 81.63％(40 cases/49 cases)with significant difference(P＜0.05).After treatment,the RQLQ scores of treatment and control groups were(49.57±6.97)and(58.18±7.78)points,IL-6 levels were(5.12±1.25)and(7.34±1.46)ng·L-1,IL-1 β levels were(12.25±5.64)and(20.05±6.32)pg·mL-1,TNF-α levels were(3.25±0.62)and(4.45±0.49)pg·mL-1,the IgE levels were(114.28±19.63)and(136.84±30.14)μg·L-1,respectively,the differences were statistically significant difference(all P＜0.05).The adverse drug reactions of two groups were dry mouth,fatigue,dizziness and drowsiness.The total incidences of adverse drug reactions in the treatment and control groups were 16.33％and 10.20％without significant difference(P＞0.05).Conclusion Lupatadine tablets combined with azostine hydrochloride nasal spray have a definitive clinical efficacy in the treatment of allergic rhinitis patients,which can effectively reduce the inflammatory reaction,reduce the IgE levels,improve the quality of life,without increasing the incidence of adverse drug reactions.

Objective: To construct a prognostic model for unsuccessful removal of nasogastric tube (NGT) was the aim of our study. Methods: This study examined patients with swallowing disorders receiving NGT feeding due to stroke or traumatic brain injury in a regional hospital. Clinical data was collected, such as age, sex, body mass index (BMI), level of activities of daily living (ADLs) dependence. Additionally, gather information regarding the enhancement in Functional Oral Intake Scale (FOIS) levels and the increase in food types according to the International Dysphagia Diet Standardization Initiative (IDDSI) after one month of swallowing training. A stepwise logistic regression analysis model was employed to predict NGT removal failure using these parameters. Results: Out of 203 patients, 53 patients (26.1%) had experienced a failed removal of NGT after six months of follow-up. The strongest predictors for failed removal were age over 60 years, underweight BMI, total dependence in ADLs, and ischemic stroke. The admission prediction model categorized patients into high, moderate, and low-risk groups for removal failure. The failure rate of NGT removal was high not only in the high-risk group but also in the moderate-risk groups when there was no improvement in FOIS levels and IDDSI food types. Conclusion Our predictive model categorizes patients with brain insults into risk groups for swallowing disorders, enabling advanced interventions such as percutaneous endoscopic gastrostomy for high-risk patients struggling with NGT removal, while follow-up assessments using FOIS and IDDSI aid in guiding rehabilitation decisions for those at moderate risk.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Background/Aims: Chronic hepatitis C (CHC) patients who failed antiviral therapy are at increased risk for hepatocellular carcinoma (HCC). This study assessed the potential role of metformin and statins, medications for diabetes mellitus (DM) and hyperlipidemia (HLP), in reducing HCC risk among these patients. Methods: We included CHC patients from the T-COACH study who failed antiviral therapy. We tracked the onset of HCC 1.5 years post-therapy by linking to Taiwan’s cancer registry data from 2003 to 2019. We accounted for death and liver transplantation as competing risks and employed Gray’s cumulative incidence and Cox subdistribution hazards models to analyze HCC development. Results: Out of 2,779 patients, 480 (17.3%) developed HCC post-therapy. DM patients not using metformin had a 51% increased risk of HCC compared to non-DM patients, while HLP patients on statins had a 50% reduced risk compared to those without HLP. The 5-year HCC incidence was significantly higher for metformin non-users (16.5%) versus non-DM patients (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Statin use in HLP patients correlated with a lower HCC risk (3.8%) compared to non-HLP patients (12.5%; aSHR=0.50; P<0.001). Notably, the increased HCC risk associated with non-use of metformin was primarily seen in non-cirrhotic patients, whereas statins decreased HCC risk in both cirrhotic and non-cirrhotic patients. Conclusions Metformin and statins may have a chemopreventive effect against HCC in CHC patients who failed antiviral therapy. These results support the need for personalized preventive strategies in managing HCC risk.