Acute-on-chronic liver failure （ACLF） is a complex clinical syndrome， and early identification and accurate prognostic evaluation are of great importance for patient treatment and management. In recent years， with in-depth research on the pathogenesis of ACLF， multiple prognostic biomarkers have been proposed and used in clinical practice. This article systematically reviews the research advances in prognostic biomarkers for ACLF from the aspects of clinical predictive models， immunological biomarkers， metabolic biomarkers， genetic and epigenetic biomarkers， microbiome-related biomarkers， and emerging technologies such as artificial intelligence and multi-omics， and it also discusses the value and application prospects of these biomarkers in the prognostic evaluation of ACLF and proposes future research directions， in order to provide a scientific and comprehensive reference for clinicians， guide individualized treatment and management of ACLF patients， and finally improve the clinical outcomes of patients.

Senile trichiasis is primarily manifested by eyelid laxity, decreased horizontal elasticity and tension of the eyelids, leading to friction between the eyelashes and the cornea, which subsequently causes corneal damage and vision decline. Surgical intervention remains the most effective therapeutic approach for senile trichiasis. This article elaborates on the epidemiological characteristics, pathological mechanisms, and clinical manifestations of senile trichiasis and systematically reviews the surgical treatment method for upper and lower eyelid trichiasis, including traditional surgical techniques and emerging minimally invasive procedures combined with personalized therapies. Through a literature review, the effectiveness and recurrence rates of surgical treatment are summarized, emphasizing the importance of preoperative assessment and individualized treatment. Additionally, strategies and recommendations for preventing senile trichiasis are proposed.

Objective To investigate the expression of serum micro ribonucleic acid(miR)-423-5p and fer-ritin in elderly osteoporosis(OP)and their relationship with hip fragility fracture.Methods A total of 79 eld-erly OP patients admitted to the hospital from March 2020 to March 2024 were selected as the observation group,and 62 healthy elderly patients with complete physical examination records and reports were selected as the control group during the same period.Patients in the observation group were divided into fracture group(42 cases)and non-fracture group(37 cases)according to the occurrence of hip fragility fracture.Serum miR-423-5p and ferritin levels were compared between the observation group and the control group and between the fracture group and the non-fracture group.The difference of bone mineral density(BMD)at different sites between the fracture group and the non-fracture group was compared.The correlation between serum miR-423-5p and ferritin and BMD at different sites was analyzed by Pearson,and the predictive value of serum miR-423-5p and ferritin in elderly hip fragility fractures was analyzed by receiver operating characteristic(ROC)curve.Results Serum miR-423-5p and ferritin in observation group were higher than those in control group,the differences were statistically significant(P＜0.05).The levels of serum miR-423-5p and ferritin in frac-ture group were higher than those in non-fracture group,and the differences were statistically significant(P＜0.05).Greater trochanteric BMD and total hip BMD in the non-fracture group were higher than those in the fracture group,and the differences were statistically significant(P＜0.05).According to Pearson correlation analysis,serum miR-423-5p and ferritin levels in elderly OP patients were negatively correlated with BMD de-tected in lumbar spine,femoral neck,greater trochanter,intertrochanter and total hip(P＜0.05).ROC curve analysis results showed that the sensitivity,specificity and the area under the curve(AUC)of serum miR-423-5p combined with ferritin were 0.786,0.892 and 0.818(95％CI:0.715-0.912),which were higher than the AUC predicted by the two alone and had higher predictive value(P＜0.05).Conclusion The combination of serum miR-423-5p and ferritin levels can predict the risk of hip fragility fracture in elderly OP patients.

Objective:To explore the effect of horizontal Baduanjin guided by interactive standard reaching theory(ISRT)on cardiac function and quality of life in patients with chronic heart failure(CHF).Methods:This random-ized controlled study enrolled 114 patients diagnosed with CHF in Bozhou People's Hospital between September 2024 and February 2025.Patients were randomly divided into control group(n=57,routine nursing care)and interven-tion group(n=57,horizontal Baduanjin under the guidance of interactive standard theory).Both groups were con-tinuously treated for 3 months.Cardiac function indexes,N-terminal pro-brain natriuretic peptide(NT-proB-NP),self-care ability,quality of life and incidence of major adverse cardiovascular events(MACE)were com-pared between the two groups.Results:Compared to patients in the control group,those in the intervention had significant higher left ventricular ejection fraction(LVEF)[(56.34±0.86)％vs.(46.69±0.91)％],6min walking distance(6MWD)[(477.16±6.62)m vs.(451.39±4.17)m]and the proportion of New York Heart Association(NYHA)class Ⅱ(70.18％vs.35.09％),and significant lower NT-proBNP[(237.76±6.41)pg/ml vs.(377.46±6.85)pg/ml],scores of the European heart failure self-care behavior scale 9(EHFSCB-9)[(12.61±1.81)points vs.(25.51±1.71)points],the physical domain[(3.96±0.91)points vs.(11.05±0.79)points],emotional domain[(4.00±0.85)points vs.(11.95±0.81)points]and other domain[(4.05±0.83)points vs.(13.47±1.15)points]of MLHFQ(P＜0.001 all).Compared to those in the control group,patients in intervention group had significant lower incidence of MACE(7.02％vs.22.81％,P=0.035).Conclusion:Under the guidance of the interactive standard theory,the horizontal Baduanjin exercise may enhance the cardiac function,improve self-care ability and quality of life in patients with chronic heart failure.

Objective To explore the effects of Yin Yang 1(YY1)on the proliferation and migration of bladder cancer cells and investigate the underlying mechanisms,so as to provide reference for the prevention and treatment of this disease.Methods The expression patterns of YY1 in common genitourinary tumors and their associations with the prognosis were analyzed using data from The Cancer Genome Atlas(TCGA)and the Gene Expression Omnibus(GEO).The efficiency of YY1 knockdown and overexpression in bladder cancer cell lines(T24 and UM-UC-3)was confirmed with quantitative reverse transcription PCR(qRT-PCR)and Western blotting.Cell proliferation and migration were assessed using methylthiazolyldiphenyl-tetrazolium bromide(MTT)and Transwell assays.RNA sequencing followed by bioinformatics analyses,including Gene Ontology(GO),Kyoto Encyclopedia of Genes and Genomes(KEGG),and Gene Set Enrichment Analysis(GSEA),was conducted to predict potential mechanisms.The qRT-PCR and rescue experiments were performed to validate whether YY1 exerted its effects via the E2F1 signaling pathway.Results YY1 was significantly overexpressed in bladder cancer compared to other genitourinary tumors and was associated with higher tumor grade and poorer prognosis(P＜0.05).Functional assays demonstrated that YY1 promoted the proliferation and migration of bladder cancer cells.Transcriptome analyses revealed that YY1 might regulate these processes through the E2F signaling pathway.Moreover,overexpression of E2F1 partially reversed the inhibitory effects of YY1 knockdown on bladder cancer cell proliferation and migration.Conclusion YY1 is upregulated in bladder cancer and is closely associated with tumor grade and unfavorable prognosis.It may facilitate tumor cell proliferation and migration by modulating the E 2F1 signaling pathway.

Background and purpose:Human papilloma virus(HPV)infection status is crucial for diagnosing cervical precancerous lesions and classifying cervical cancer.High-risk(HR)HPV is often linked to P16 protein overexpression,so P16 detection via immunohistochemistry(IHC)is commonly used to assess HPV infection.However,the differences between HPV status and P16 expression remains unclear.An in-depth study of the correlation between HPV and P16 is essential for clinical guidance.Methods:We retrospectively collected clinical and pathological data of cervical lesions from 618 patients diagnosed at the Department of Pathology,Fudan University Shanghai Cancer Center from January 2020 to December 2023(Ethical number:050432-4-2307E).Polymerase chain reaction(PCR)reverse dot hybridization was used to detect HPV including HR and low-risk(LR)subtypes,and immunohistochemistry was used to detect P16 for comparative analysis.Based on different clinical and pathological diagnoses,the sensitivity and specificity of P16 expression in evaluating HPV infection were evaluated.Among the 618 cases of cervical lesions,there were 92 cases of cervical squamous cell carcinoma,257 cases of cervical adenocarcinoma,79 cases of high-grade squamous intraepithelial lesions(HSIL),105 cases of low-grade squamous intraepithelial lesions(LSIL),and 85 cases of chronic cervical inflammation.Results:According to clinical diagnosis,the HR-HPV positive rate in cervical squamous cell carcinoma was 88.0%(81/92),the P16 positive rate was 91.3%(84/92),and the overall consistency rate between P16 and HPV detection was 90.2%(88/92);for HR-HPV infection,the sensitivity and specificity of P16 were 96.3%and 45.5%.The positive rate of HR-HPV in adenocarcinoma was 54.5%(140/257),the positive rate of P16 was 58.8%(151/257),and the overall consistency rate between P16 and HPV detection was 82.5%(212/257);for HR-HPV infection,the sensitivity and specificity of P16 were 87.9%and 76.1%.In HSIL,the HR-HPV positive rate was 75.9%(60/79),the positive rate of P16 was 70.9%(56/79),and the overall consistency rate between P16 and HR-HPV detection was 82.2%(65/79);for HR-HPV infection,the sensitivity and specificity of P16 were 85.0%and 73.7%.In LSIL,the HR-HPV positive rate was 73.3%(77/105),the positive rate of P16 was 8.5%(9/105),and the overall consistency rate between P16 and HR-HPV detection was 33.3%(35/105);for HR-HPV infection,the sensitivity and specificity of P16 were 10.4%and 96.4%.In chronic cervical inflammation,the HR-HPV positive rate was 20%(17/85),the positive rate of P16 was 0.0%(0/85);for HR-HPV infection,the sensitivity and specificity of P16 were 0.0%and 100.0%.There was a significant positive correlation between P16 positivity and HPV16/18 in cervical squamous cell carcinoma,adenocarcinoma,and HSIL(P=0.000),while there was no significant correlation in LSIL and chronic cervical inflammation(P＞0.05).Conclusion:In cervical squamous cell carcinoma and adenocarcinoma,the consistency of P16 expression and HPV DNA positivity are high,especially in HPV16/18 subtype.There is a good concordance between HR-HPV positivity and P16 protein overexpression.The positive expression of P16 in HSIL may initially reflect HPV infection status.However,in LSIL and chronic cervicitis,P16 expression may not accurately correlate with HPV infection.The inconsistency between P16 and HPV DNA testing could be influenced by multiple factors,including HPV subtypes,histopathological categories,specimen quality,and technical limitations.In clinical practice,it is recommended to conduct comprehensive analysis or employ multiple diagnostic methods to confirm HPV infection status for precise evaluation.

Hypokalemia,a common clinical electrolyte disorder,can affect multiple systems and can be life-threatening in severe cases.Identifying the cause of hypokalemia is crucial for its prevention and treatment.However,the etiology of hypokalemia is complex and often requires detailed differential diagnosis.This article reports a rare clinical case of hypokalemia caused by long-term excessive consumption of strong tea and discusses its pathogenesis.The aim is to raise clinical awareness and understanding of the etiology of such cases of hypokalemia and reduce misdiagnosis and missed diagnosis.

Objective:To evaluate the application effect of a wearable visual field meter based on extended reality (XR) glasses for patients with macular disease.Methods:A self-controlled study was conducted.A total of 41 consecutive patients (41 eyes) with macular disease were recruited at Renmin Hospital of Wuhan University from October 2022 to October 2024.All patients underwent 10-2 center visual field test using a self-developed wearable visual field meter (XRVF), and the results were compared with those obtained using a traditional Humphrey field analyzer (HFA).The comparison parameters included mean retinal sensitivity (MS), false positive rate (FPR), false negative rate (FNR), and testing duration.A subject satisfaction questionnaire was administered.This study followed the Declaration of Helsinki.The study protocol was approved by the Medical Ethics Committee of Renmin Hospital of Wuhan University (No.WDRY2024-K263), and all subjects signed the informed consent form.Results:The retinal sensitivity of patients measured by HFA was (23.24±3.71)dB, which was higher than (22.01±3.45)dB by XRVF, showing a statistically significant difference ( t=4.924, P=0.036).The FPR measured by HFA and XRVF were (2.39±2.51)% and (2.59±3.29)%, respectively, and the FNR were (3.49±6.05)% and (3.74±5.38)%, respectively, showing no statistically significant difference ( t=-3.624, P=0.948; t=-1.241, P=0.519).The median test duration for HFA and XRVF was 6.15 (5.78, 6.65) and 5.98 (5.71, 6.69)minutes, respectively, without statistically significant difference ( Z=-1.987, P=0.953).92.6% of the subjects thought the device was comfortable, simple and practical. Conclusions:The XRVF has good consistency with the HFA, can effectively and reliably evaluate the visual field function of patients with macular disease, and is easily accepted by patients.

Objective To screen the risk factors for hypoglycemia in adult intensive care unit(ICU)patients,construct a risk prediction model,and validate its predictive effect.Methods A retrospective study was conducted on adult critically ill patients admitted to the general ICU of Hospital of Chengdu University of Traditional Chinese Medicine from December 2023 to September 2024.Patients admitted from December 2023 to June 2024 served as the modeling group,and those from July to September 2024 as the validation group.A total of 928 patients were included,with 650 in the modeling group and 278 in the validation group.After literature review and expert consultation,27 potential risk factors for hypoglycemia in ICU patients were initially screened,and data were collected including general information[gender,age,acute physiology and chronic health evaluation Ⅱ(APACHEⅡ)score,sequential organ failure assessment(SOFA)score,nutrition risk in critically ill(NUTRIC)score,mechanical ventilation status,hemodialysis status,enteral nutrition status],disease data(sepsis,liver disease history,kidney disease history,diabetes history,hypoglycemia history),blood glucose-related indicators[mean blood glucose,blood glucose coefficient of variation,insulin dosage,intravenous insulin titration use,inotropic drug use,insulin secretagogues(Sulfonylureas and Glinides),and combined use of hypoglycemic drugs(two or more)],and laboratory indicators[serum creatinine(SCr),blood urea nitrogen(BUN),serum albumin(Alb),alanine aminotransferase(ALT),aspartate aminotransferase(AST),total bilirubin(TBil),glomerular filtration rate(GFR)].The patients were divided into a hypoglycemia group and a non-hypoglycemia group based on the occurrence of hypoglycemia.Univariate analysis and binary Logistic regression analysis were used to identify influencing factors of hypoglycemia in adult ICU patients,and a nomogram prediction model was constructed.The area under the receiver operator characteristic curve(AUC)and calibration curves were employed to evaluate the discrimination and calibration of the model.Results The modeling cohort included 552 non-hypoglycemic patients and 98 hypoglycemic patients,with an ICU hypoglycemia incidence rate of 15.1％.Compared with the hypoglycemia group,the non-hypoglycemia group showed significantly lower proportions of patients with renal disease history,diabetes history,hypoglycemia history,undergoing hemodialysis,using intravenous insulin titration,and combined use of hypoglycemic drugs,as well as lower blood glucose coefficient of variation,lower APACHEⅡ scores,and significantly elevated GFR(all P<0.05).Binary Logistic regression analysis was performed using the 9 variables with statistically significant differences in univariate analysis as independent variables and hypoglycemia occurrence as the dependent variable.The results indicated that a history of diabetes,a history of hypoglycemia,APACHEⅡ score,GFR,blood glucose coefficient of variation,and combined use of hypoglycemic drugs were independent risk factors for hypoglycemia in ICU patients[odds ratios(OR)were 1.761,2.095,1.048,0.990,1.029,and 1.975,respectively,and 95％confidence intervals(95％CI)were 1.052-2.949,1.220-3.600,1.022-1.074,0.982-0.997,1.013-1.046,and 1.145-3.408,respectively.The corresponding Pvalues were 0.031,0.007,0.000,0.009,<0.001,0.014].A nomogram prediction model for hypoglycemia in ICU patients was constructed using six independent predictors selected through binary logistic regression analysis.The ROC curve AUC for the modeling group was 0.884(95％CI 0.826-0.941,P=0.250),with a maximum Youden index of 0.713,sensitivity of 92.1％,and specificity of 79.2％.The validation cohort included 38 patients with hypoglycemia and 240 patients without hypoglycemia.Compared with the hypoglycemia group,the non-hypoglycemia group showed significantly lower proportions of patients with a history of diabetes,a history of hypoglycemia,and combined use of hypoglycemic drugs,as well as lower APACHEⅡ scores and lower blood glucose coefficient of variation,with significantly increased GFR(all P<0.05).The ROC curve AUC for the validation cohort was 0.803(95％CI was 0.757-0.849,P=0.138),indicating high discriminatory ability.The predicted probability at the diagnostic cutoff point was P=0.138.The model's diagnostic threshold for predicted probability was P=0.138,while the optimal cut-off value based on the Youden index was 0.513,yielding a sensitivity of 76.5％and specificity of 74.8％,indicating predictive value for hypoglycemia in adult ICU patients.The mean absolute error(MAE)results for the modeling group and validation group were<0.05.The calibration curves of both the modeling and validation groups showed close alignment with the ideal curve,indicating excellent calibration performance of the model.Conclusion The constructed hypoglycemia risk prediction model for adult ICU patients has good predictive performance,which can quickly identify high-risk populations of hypoglycemia in ICU and provide reference for clinical preventive nursing.