Objective To explore the correlation between tongue features of type 2 diabetes patients with coronary heart disease and glycosylated hemoglobin,liver function,blood lipids,C-reactive protein,so as to provide reference for related research.Methods Using the TFDA-1 tongue imaging device to collect patients'tongue images,experts will interpret the tongue images and extract objective parameters of the tongue images through the intelligent auxiliary diagnosis system of traditional Chinese medicine tongue diagnosis;Record patient laboratory indicators and use SPSS statistical software to analyze the correlation between tongue image distribution characteristics,tongue image parameter characteristics,and laboratory indicators using Spearman method.Results 702 patients with type 2 diabetes and coronary heart disease were included.In terms of glycated hemoglobin indicators,bruising parameters are positively correlated with HbA1c,while tongue tip RGB values are negatively correlated with HbA1c.In terms of liver function indicators,tongue edge redness,tongue tip and tongue texture R value are positively correlated with ALT and AST;Red tongue tip,tooth marks on the tongue,etc.are positively correlated with ALT;Fat tongue is positively correlated with AST.In terms of blood lipid indicators,parameters such as tooth mark tongue and tooth mark are positively correlated with TG;The parameters of white coating and tongue coating area are positively correlated with LDL-C;Thin coating is positively correlated with HDL-C,while thick coating is negatively correlated with HDL-C;Red tongue is negatively correlated with TCHO.In terms of C-reactive protein,red tongue,tip red,and edge red are positively correlated with CRP;The GB value of tongue root and tongue substance is negatively correlated with CRP.Conclusion Type 2 diabetes patients with coronary heart disease have tongue picture distribution,tongue shape parameters,tongue color parameters,coating color parameters and HbA1c,ALT,AST,TCHO,TG,HDL-C,LDL-C,CRP indicators in varying degrees of correlation.The combination of patients'tongue picture and laboratory indicators is helpful to clarify the diagnosis and prognosis of type 2 diabetes with coronary heart disease.

This article reported a case of a newborn with congenital absence of the penis. The prenatal examinations were unremarkable. Physical examination of the newborn revealed abnormal external genitalia, with well-developed scrotum and fully descended testicle in normal size, but without the penis. Postnatal ultrasound showed no obvious signals of uterus and ovaries in pelvis and had normal bilateral testicles and urinary system. The diagnosis was congenital absence of the penis.

Objective:This study aimed to construct a prediction model for diagnosis of proliferative lupus nephritis based on a machine learning algorithm. Additionally, a user-friendly platform was developed to propose a non-invasive method to assist the pathologic classification of lupus nephritis.Methods:A retrospective analysis was conducted on clinical and pathological data of lupus nephritis patients confirmed by renal biopsy at Zhengzhou University People′s Hospital from January 2017 to August 2023. The study population was randomly divided into training and testing sets in a 7∶3 ratio. Utilizing six machine learning algorithms, classification models were developed. The predictive performance of each model was assessed using metrics such as accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC). The optimal model, once identified, was deployed as a web-based calculator for convenient model application. SPSS 25.0 and R 4.2.2 were used to analyze the data.Results:The study included a total of 212 patients, with 138 cases with proliferative lupus nephritis and 74 cases with non-proliferative lupus nephritis. The AUC values for the six models, namely logistic regression, decision tree, random forest, support vector machine, extreme gradient boosting, and light gradient boosting machine, were 0.79, 0.62, 0.79, 0.88, 0.81, and 0.77, respectively; the accuracy rates were 82.54%, 65.08%, 74.60%, 85.71%, 69.84%, 71.43%, respectively. Among them, the support vector machine model demonstrated the optimal performance. This model had deployed as a web-based calculator. Based on feature importance scores, the top 10 influencing factors were identified, including anti URNP antibody, immunoglobulin G, serum globulin, estimated glomerular filtration rate, anti Smith antibody, BMI index, anti dsDNA antibody, uric acid, anti-Rib.p antibody, and gender.Conclusion:A prediction model based on machine learning algorithms was successfully established, and a web calculator was developed to offer a simple and non-invasive method for diagnosing proliferative lupus nephritis. This can assist clinicians in evaluating the risk-benefit ratio of kidney biopsy in patients with lupus nephritis.

Objective:To explore the impact of the two-way referral model on compliance and prognosis in patients with heart failure.Methods:This bidirectional cohort study enrolled chronic heart failure (CHF) patients treated at Qilu Hospital of Shandong University or designated primary hospitals between March 2018 and March 2022. Patients were categorized into two groups based on referral status: two-way referral group (participating in the referral model with≥1 follow-up visit at primary hospitals) and the core hospital group (receiving treatment and follow-up exclusively at Qilu Hospital). Baseline clinical characteristics were collected and compared between groups. Patients underwent followed-up, with primary endpoints including follow-up rate, drug (β-blockers, angiotension converting enzyme inhibitor (ACEI)/angiotensin Ⅱ receptor blockers (ARB)/angiotensin receptor-neprilysin inhibitor (ARNI), sodium-glucose cotransporter 2 inhibitors and mineralocorticoid receptor antagonists) utilization rate and target dose achievement rate. Secondary endpoints encompassed changes from baseline in left ventricular ejection fraction (LVEF), left ventricular end-diastolic diameter (LVEDd), and N-terminal pro-brain natriuretic peptide (NT-proBNP), plus cardiovascular mortality and heart failure rehospitalization. Generalized linear mixed models analyzed longitudinal trends in LVEF, LVEDd, and NT-proBNP levels. Kaplan-Meier curves and Cox regression evaluated LVEF recovery rates, supplemented by subgroup analyses. Multivariate logistic regression was used to identify factors influencing target dose achievement rate for β-blockers and ACEI/ARB/ARNI therapies in CHF patients.Results:A total of 357 patients were enrolled, aged 53 (41, 63) years, including 256 males (71.7%). 157 patients were in the two-way referral group and 200 patients in the core hospital-treated group. Compared with the core hospital-treated group, the two-way referral group had lower baseline LVEF (28 (22, 34)% vs. 31 (23, 36)%, P=0.021) and systolic blood pressure (116 (104, 125) mmHg vs. 121 (109, 134) mmHg (1 mmHg=0.133 kPa), P=0.010). The 12-month follow-up rate of the two-way referral group was higher than the core hospital-treated group (73.8% vs. 56.0%, P=0.004). No significant between-group differences were observed in drug utilization rate of β-blockers, ACEI/ARB/ARNI, or sodium-glucose cotransporter 2 inhibitors during follow-up (all P>0.05), while mineralocorticoid receptor antagonists use showed a declining trend in both groups. Although the core hospital-treated group had higher target dose achievement rates for β-blockers (65.4% vs. 49.3%, P=0.042) and ACEI/ARB/ARNI (79.8% vs. 65.8%, P=0.046) than the two-way referral group, multivariate logistic regression indicated that the two-way referral model was not a negative predictor for these outcomes (all P>0.05). Both groups showed improved NT-proBNP, LVEDd, and LVEF from baseline (all P<0.001) with no significant difference in trends between groups (all P>0.05). There was no significant difference in the composite incidence (7.6% vs. 6.5%, P=0.674) and cumulative incidence (log-rank P=0.684) of cardiovascular death and heart failure rehospitalization at 12 months between two groups. Conclusion:The two-way referral model demonstrates advantages in improving medication adherence, drug utilization rates, and targetdoseachievement rates among CHF patients. This model not only promotes cardiac functional recovery but also reduces risks of cardiovascular mortality and heart failure rehospitalization, achieving comparable therapeutic and management outcomes to those observed in core hospital-treated patients.

Objective To construct a classification model for surgical patients and apply it in the allocation of nursing human resources,providing a reference for nursing human resource management.Methods A convenience sampling method was used to retrospectively select 5,431 hospitalized surgical patients admitted to 6 surgical nursing units of a tertiary general hospital in Suzhou from July to November 2022 as the subjects of this study.The nursing hours were measured,and related influencing factors were analyzed.A decision tree classification method was used to establish a classification model for surgical patients.From August to October 2022,1,527 hospitalized surgical patients admitted to 3 nursing units of the same hospital were conveniently selected.The minimum number of nurses required daily was calculated using the surgical patient classification model,actual nursing hours measurement method,nurse-to-bed ratio method,and 8-hour continuous shift scheduling method.The application effect of the surgical patient classification model in nursing human resource allocation was evaluated with the actual nursing hours measurement method as the standard.Results The surgical patient classification model includes 7 classification indicators:length of hospital stay,diagnosis-related group weight,presence or absence of secondary care orders,surgical grade,anesthesia method,age,and presence or absence of critical illness orders.Patients were divided into 14 groups,and the model explained 90.5％of the total variance in nursing workload.The minimum number of nurses required in surgical nursing units calculated based on this model was closest to the result of the actual nursing hours measurement method and was superior to the results of the nurse-to-bed ratio method and the 8-hour continuous shift scheduling method.Conclusion The surgical patient classification model can accurately reflect the nursing workload of such patients.The classification indicators are simple and easy to obtain,and can guide the allocation of human resources in surgical nursing units.

In patients with Graves′ disease, repeated transition between hyperthyroidism and hypothyroidism is uncommon. This report describes a female Graves′ disease patient with persistently high levels of thyroid-stimulating hormone receptor antibodies, who experienced multiple transitions between hyperthyroidism and hypothyroidism over a 7-year follow-up period, including during pregnancy. The fluctuations may be linked to the interplay between thyroid-stimulating hormone receptor stimulating antibody(TSAb) and thyroid-stimulating hormone receptor blocking antibody(TBAb). Treatment with either antithyroid medications or levothyroxine sodium, based on the patient′s thyroid status, helped maintain normal thyroid function. Stable thyroid function may contribute to maintaining a consistent thyroid immune status and reducing thyroid function fluctuation.

Maternal high titers of thyroid stimulating hormone receptor antibody(TRAb) during pregnancy can cause fetal and neonatal thyroid dysfunction, among which hypothyroidism is relatively rare. In this case, the woman was diagnosed with Hashimoto′s hypothyroidism prior to pregnancy and was treated with levothyroxine(LT 4) to maintain normal thyroid function throughout gestation. Despite normal maternal thyroid function, TRAb levels remained persistently elevated during pregnancy. The fetus showed a normal fetal thyroid circumference and heart rate, but no secondary ossification center was observed at 37 + 6 weeks of gestation. On the 9th day after birth, the neonate was diagnosed with congenital hypothyroidism and started on LT 4 replacement therapy. By 7 months of age, thyroid function had normalized, and LT 4 was discontinued. This case highlights the importance of close monitoring of fetal growth and neonatal thyroid function in pregnant women with high TRAb titers, to ensure timely detection and management of fetal and neonatal thyroid dysfunction.

Colony-stimulating factor-1 receptor (CSF1R)-related leukoencephalopathy (CSF1R-L) is a rare autosomal dominant neurodegenerative disorder caused by mutations in the CSF1R gene. It is typically characterized by rapidly progressive cognitive decline, motor dysfunction, and psychiatric or behavioral abnormalities, leading to significant disability and early mortality. More than 100 mutations of CSF1R have been identified in CSF1R-L, but the clinical-genotype relationship is unclear. This report describes a case of CSF1R-L that initially presented with atypical symptoms of left lower limb pain, numbness, and weakness. Despite the non-specific presentation, comprehensive imaging data were available throughout the disease course. Genetic testing identified a heterozygous missense mutation in exon 18 of the CSF1R gene (c.2508CA, p.Ser836Arg), a novel variant not previously reported in the literature. This case offers valuable insights into the dynamic progression of cranial MRI changes in CSF1R-L, broadens the genetic spectrum of this disease, enhances awareness among clinicians, and provides crucial information for the early diagnosis of this condition.

Objective:To screen and analyze the carcinogenesis-related differential expression profile of long non-coding RNAs(LncRNAs)in oral lichen planus(OLP)mucosa tissue,and preliminarily analyze their functions,to explore their possible role in the development of OLP.Methods:High-throughput sequencing technology was used to construct differential expression profile from 5 cases of erosive OLP lesions and 5 of normal oral mucosa.LncRNAs that are closely related to the carcinogenesis of OLP were ob-tained by bioinformatics analysis.Results:400 LncRNAs associated with OLP were screened,of which 250 were up-regulated and 150 were down-regulated,and 5 LncRNAs were obtained with differential expression associated with OLP carcinogenesis:LncRNA 54055,100128560,399717,378825 and 100130231.Conclusion:400 LncRNAs are differentially expressed in the mucosa of erosive OLP lesions,and 5 of them are related to the incidence and carcinogenesis tendency of OLP.

Objective To investigate the application value of pan-immune-inflammation value(PIV),hypersensitive C-reactive protein(hs-CRP)/albumin(ALB)ratio(HCAR)and procalcitonin/platelet count ratio(PCT/PLT)in pulmonary infection in elderly patients with chronic obstructive pulmonary disease(COPD).Methods A total of 143 elderly patients with COPD and pulmonary bacterial infection were selected as the infected group.Meanwhile,143 elderly patients with COPD and without pulmonary infection were selected as the uninfected group.Patients in the infected group were furthrer divided into the mild group(47 cases),the moderate group(51 cases)and the severe group(45 cases)according to the degree of pulmonary infection.They were divided into the favorable prognosis group(112 cases)and the poor prognosis group(31 cases)according to the prognosis.Blood biochemical indicators,PIV,HCAR and PCT/PLT were compared between groups.The relationship between above indicators and pulmonary infection,infection degree and the prognosis was analyzed.Results Compared with the uninfected group,neutrophil(NEU),monocyte(MON),hs-CRP and PCT levels were higher,while lymphocyte(LYM)and ALB levels were lower in the infected group(P＜0.05).PIV,HCAR and PCT/PLT were higher in the infected group and the poor prognosis group than those in the uninfected group and the favorable prognosis group,respectively(P＜0.05).PIV,HCAR and PCT/PLT in the mild group,the moderate group and the severe group increased in sequence(P＜0.05).Spearman correlation analysis showed that PIV,HCAR and PCT/PLT were positively correlated with the degree of pulmonary infection(P＜0.05).Multivariate Logistic regression analysis showed that high levels of PIV,HCAR and PCT/PLT were independent risk factors for pulmonary infection in elderly patients with COPD(P＜0.05),and also independent risk factors for poor prognosis in patients with pulmonary infection(P＜0.05).The areas under the curve(AUC)of PIV combined with HCAR and PCT/PLT for diagnosing pulmonary infection in elderly patients with COPD and predicting poor prognosis in patients with pulmonary infection were 0.980 and 0.910(P＜0.05).Conclusion PIV,HCAR and PCT/PLT are related to COPD with pulmonary infection in the elderly.They can help to identify pulmonary infection,judge the condition of pulmonary infection and evaluate the prognosis in patients with pulmonary infection.