OBJECTIVE To upgrade the drug traceability code management system for a pediatric hospital under the “payment by code” background， aiming to comprehensively enhance traceability integrity， efficiency， and compliance. METHODS Taking Xiamen Children’s Hospital as the implementation setting， a before-and-after control design was adopted to construct an intelligent drug traceability code management system through systematic upgrades involving the technology platform， core mechanisms， and coordination with medical insurance. Key interventions included： upgrading a traceability code management platform and designing a dynamic code pool； innovating differentiated traceability mechanisms for routine， split-dose， and special drugs； establishing a tiered early-warning and emergency response system； and constructing a data coordination and quality control system. The drug traceability code upload rate served as the primary outcome. Process indicators such as the root causes distribution of failed uploads and the duration of medication returns， and a comprehensive outcome （the number of insurance-flagged abnormal prescriptions） were also analyzed. The data between the baseline period （April 2025） and the observation period （June-August 2025） were compared and evaluated. RESULTS After the upgrade， the overall upload rate of drug traceability codes increased from 9.21% （baseline） to 99.86% （August 2025）. The upload rate of traceability codes in previously unmanaged areas， such as the inpatient pharmacy and pharmacy intravenous admixture services， soared from 0 to nearly 100%. The proportion of non-uploads due to system issues fell from 66.44% （June 2025） to 2.62% （August Additionally， the number of insurance-flagged） abnormal prescriptions dropped sharply from 2 275.00 in the first “payment by code” policy month （July 2025） to 212.00 by the end of the observation period （August 2025）， a 90.70% decrease. CONCLUSIONS The developed management system effectively addresses complex scenario challenges such as high-frequency drug splitting. It significantly enhances traceability code upload performance and ensures a high degree of compliance with medical insurance data requirements. These outcomes contribute to proactive risk mitigation against insurance claim denials and demonstrate a concurrent optimization of pharmacy operations.

OBJECTIVE: To explore the clinical features of the sepsis in immunocompromised hosts and establish an early warning equation. METHODS: A retrospective study was conducted on sepsis patients admitted to the intensive care unit (ICU) of Binzhou Medical University Hospital from October 2011 to October 2022. General information, infection site, etiology results and drug susceptibility, clinical symptoms, inflammatory indicators, acute physiology and chronic health status evaluation II (APACHE II), sequential organ failure assessment (SOFA), incidence of immune paralysis, and outcome during hospitalization were collected. Based on whether they met the diagnostic criteria for immunocompromised hosts, patients were divided into immunocompromised group and immune normal group. The clinical information of the two groups were compared. Multivariate Logistic regression was used to analyze the risk factors of patients with immunocompromised sepsis and the regression equation model was initially established. Omnibus test and Hosmer-Lemeshow test were used to evaluate the model. RESULTS: A total of 169 patients with sepsis were included, including 61 in the immunocompromised group and 108 in the normal immune group. The top 3 infection sites in the immunocompromised group were bloodstream infection, pulmonary infection and abdominal infection. The top 3 infection sites in the normal immune group were pulmonary infection, bloodstream infection and abdominal infection. The infection rate of Gram-negative bacteria in the immunocompromised group was significantly lower than that in the normal group [49.2% (30/61) vs. 64.8% (70/108), P < 0.05]. The infection rate of Gram-positive bacteria [27.9% (17/61) vs. 13.9% (15/108)] and multidrug-resistant bacteria [54.1% (33/61) vs. 29.6% (32/108)] were significantly higher than those in normal immune group (both P < 0.05). In terms of clinical symptoms, the proportion of fever in the immunocompromised group was significantly lower than that in the immune normal group [49.2% (30/61) vs. 66.7% (72/108), P < 0.05]. Neutrophil count (NEU) and neutrophil percentage (NEU%) in the immunocompromised group were significantly lower than those in the normal immune group. Lymphocyte percentage (LYM%), neutrophil/lymphocyte ratio (NLR), C-reactive protein (CRP), procalcitonin (PCT), APACHE II score, combined shock rate, incidence of immune paralysis, and mortality during hospitalization in the immunocompromised group were significantly higher than those in the normal immune group. Logistic regression analysis showed that NLR, CRP and PCT were risk factors for patients with immunocompromised sepsis (all P < 0.05). The above indicators were used as covariables to construct a Logistic regression equation, that was, Logit (P) = 0.025X₁+0.010X₂+0.013X₃-2.945, where X₁, X₂ and X₃ represent NLR, CRP and PCT respectively. Omnibus test and Hosmer-Lemeshow test show that the model fits well and has certain early warning value. CONCLUSIONS Patients with immunocompromised sepsis have more intense inflammatory response, with Gram-negative bacteria being the predominant pathogen, and a higher incidence of Gram-positive bacterial infections and multi-drug resistant infections. The severity of the disease, in-hospital mortality, the incidence of shock and the incidence of immune paralysis after sepsis were significantly higher. NLR, CRP and PCT were independent risk factors for sepsis in immunocompromised hosts. The regression equation constructed based on this may have early warning significance for patients with immunocompromised sepsis.
Humans ; Sepsis/immunology* ; Immunocompromised Host ; Retrospective Studies ; Risk Factors ; Intensive Care Units ; Logistic Models ; Male ; APACHE ; Female ; Middle Aged ; Aged

This article summarizes Professor Lu Yanqing's clinical experience in treating post-stroke upper limb flaccid paralysis using ultrasound-guided neural facilitation acupuncture.Neural facilitation acupuncture is a technique developed by Professor Lu through long-term clinical practice,integrating modern musculoskeletal and neurological anatomy with traditional meridian and acupoint theory.Under ultrasound guidance,this method employs targeted needling techniques at specific sites corresponding to different motor dysfunctions in post-stroke patients.By combining Chinese and western medical principles,it leverages neuroplasticity to reactivate perilesional brain functional reorganization and establish new neural pathways between affected limb receptors and the central nervous system,ultimately restoring motor function in the paralyzed upper limb.

This paper reported a case of 77-year-old male patient who developed generalized ery-thematous macules,bullae and erosion,accompanied by genital mucosa involvement five days after taking compound sulfamethoxazole tablets.Based on patient's clinical manifestations and auxiliary ex-amination results,the diagnosis of generalized bullous fixed drug eruption was confirmed.Clinicians should be vigilant about generalized bullous fixed drug eruption with genital mucosa involvement and strive for early detection,diagnosis,and treatment.

ObjectiveTo explore the effect of virtual reality on upper limb function in stroke patients through diffusion tensor imaging (DTI). MethodsFrom September, 2021 to March, 2023, 80 stroke patients in the Fuzhou Second General Hospital were randomly divided into control group (n = 40) and experimental group (n = 40). Both groups received routine rehabilitation, while the experimental group received virtual reality training additionally, for four weeks. They were assessed with Fugl-Meyer Assessment-Upper Extremities (FMA-UE) and Action Research Arm Test (ARAT) before treatment, after treatment and after four-week follow-up; and they were scaned with DTI to measure the fractional anisotropy (FA) and relative anisotropy (RA) of cerebral peduncle and posterior limb of inner capsule of the affected side before and after treatment. ResultsTwo cases dropped in each group. The FMA-UE and ARAT scores increased in both groups after treatment and follow-up (F > 2.790, P < 0.001), and increased more in the experimental group than in the control group (t > 2.297, P < 0.05). FA and RA in the posterior limb of inner capsule increased in both groups after treatment (t > 21.013, P < 0.001), and increased more in the experimental group (t > 2.006, P < 0.05). The d-value of FA of the posterior limb of internal capsule before and after treatment (ΔFA) was positively correlated with the d-value of FMA-UE score (r > 0.362, P < 0.05) in both groups, the ΔFA of the posterior limb of internal capsule was positively correlated with the d-value of ARAT score (r = 0.459, P < 0.01). ConclusionVirtual reality training can promote the recovery of upper limb function in stroke patients, which may associate with the conductivity of posterior limb of inner capsule.

Objective:To explore the differential diagnostic value of abdominal diffusion-weighted imaging (DWI) combined with serum alpha fetoprotein (AFP), des-gamma-carboxyprothrombin (DCP), and the ratio of γ-glutamyl transpeptidase to alanine transaminase (GTP/ALT) in the diagnosis of benign and malignant liver tumors.Methods:Ninety liver tumor patients admitted to the Chenzhou First People′s Hospital from February 2020 to May 2022 were selected, including 48 malignant tumors and 42 benign tumors, and were divided into malignant group and benign group. The imaging findings of routine magnetic resonance imaging (MRI) and DWI examination were analyzed for two groups of patients. We compared the apparent diffusion coefficient (ADC) values, serum AFP, DCP levels, and GTP/ALT between two groups of patients. The diagnostic value of DWI, individual and combined detection of various serological indicators for malignant tumors was analyzed using receiver operating characteristic (ROC) curves.Results:There were significant differences in MRI and DWI imaging manifestations between the malignant and benign groups of patients. The ADC values and ADC index of patients in the malignant group at different b values of 50, 400, and 800 s/mm 2 were lower than those in the benign group, and the differences were statistically significant (all P<0.05). The serum AFP, DCP, and GTP/ALT of patients in the malignant group were higher than those in the benign group, and the differences were statistically significant (all P<0.05). The ROC curve analysis results showed that the sensitivity and specificity of DWI combined with serum AFP, DCP, and GTP/ALT in diagnosing liver malignant tumors were higher than those of DWI alone and each serological indicator alone. Conclusions:The combination of DWI, serum AFP, DCP, and GTP/ALT has high sensitivity and specificity in diagnosing liver malignant tumors, and has certain clinical value in distinguishing between benign and malignant liver tumors.

Objective To evaluate the efficiency of fluorescent PCR melting curve method in early diag-nosis of fluoroquinolones (FQs) resistance in the patients with tuberculosis,and to analyze the situation and characteristics of FQs resistance,so as to provide a basis for the standardized diagnosis and treatment of rifam-picin resistance/multidrug resistant tuberculosis (RR/MDR-TB) and pre-extensively drug resistant tuberculo-sis (pre-XDR-TB).Methods A total of 1094 smear positive samples from the outpatients and inpatients of Guiyang Municipal Public Health Treatment Center from January 2021 to August 2022 were collected and conducted the Roche solid culture method and bacterial species identification.Finally,589 cases of tuberculosis conducted the phenotypic drug sensitivity test and fluorescent PCR melting curve method for detecting rifam-picin (RFP),isoniazid(INH),ethambutol(EMB) and FQs resistance.The phenotypic drug sensitivity test served as the standard to evaluated the diagnostic efficiency of the fluorescent PCR melting curve method;the relationship between the patients' FQs resistance and clinical characteristics was analyzed according to the phenotypic drug sensitivity results.Results The sensitivity,specificity,coincidence rate and Kappa value of fluorescence PCR melting curve method for detecting FQs drug resistance were 91.30％,97.69％,96.94％ and 0.86 respectively;the area under the curve (AUC) was 0.945,which was higher than 0.924,0.923 and 0.850 of RFP,INH and EMB.The drug resistance rate of FQs in the patients with RR/MDR-TB was 22.80％,the Kappa value of fluorescence PCR melting curve method for detecting the patients' FQs drug re-sistance was 0.83,the consistency was good,AUC was 0.936.There was no statistically significant difference in sensitivity,specificity and coincidence rate of FQs resistance in TB patients with different bacterial loads by fluorescence PCR fusion curve (P>0.05).The treatment type,history of anti-tuberculosis,pulmonary cavity and MDR-TB were related with FQs resistance (P<0.05).Conclusion The fluorescent PCR melting curve method has good diagnostic efficiency for FQs resistance in the patients with tuberculosis.

Objective To investigate the expression of tissue signal transducer and activator of transcription 3(STAT3)and serum STAT3 mRNA,IL-12p40 and IL-13R α 2 levels in children with congenital intestinal atresia and their correlation with prognosis.Methods From January 2020 to January 2023,100 cases of intestinal atresia lesion tissues,normal intestinal tissues and preoperative serum samples were collected from children with congenital intestinal atresia who underwent treatment in Hebei Children's Hospital.According to the Grosfeld typing criteria,these children were categorized into 39 cases of type Ⅰ,22 cases of type Ⅱ,30 cases of type Ⅲ and 9 cases of type Ⅳ.Based on the recovery situation at 6 months after surgery,these children were separated into a good prognosis group(n=78)and a poor prognosis group(n=22).Serum samples from 93 cases of healthy children undergoing medical examinations during the same period were regarded as control samples.Immunohistochemistry was applied to detect the positive expression and localization of STAT3 in tissues.Western blot was applied to detect the expression of STAT3 protein in tissues,and quantitative polymerase chain reaction(qPCR)was applied to detect the expression level of STAT3 mRNA in serum.Pearson correlation was applied to analyze the correlation between serum STAT3 and inflammatory factor levels in children with congenital intestinal atresia.Logistic regression was used to analyze the factors affecting the prognosis of children with congenital intestinal atresia.Receiver operating characteristic(ROC)curve was applied to analyze the predictive efficacy of serum STAT3 level on the prognosis of children with congenital intestinal atresia.Results Immunohistochemical results showed that STAT3 positive expression was mainly localized in the cytoplasm and nucleus.The positive expression rate in congenital intestinal atresia tissue(86％)was higher than that in normal intestinal tissue(18％),and the difference was significant(x2=92.628,P＜0.05).Western blot results showed that the relative expression level of STAT3 in congenital intestinal atresia tissue(1.59±0.21)was higher than that in normal intestinal tissue(0.81±0.12),and the difference was significant(t=30.567,P＜0.05).The results of qPCR showed that serum STAT3(2.13±0.56),IL-12p40(0.89±0.13 ng/ml),and IL-13R α 2 levels(6.42±1.86ng/ml)in the congenital intestinal atresia group were higher than those in the control groups(1.06±0.11,0.37±0.08ng/ml,1.35±0.41ng/ml),and the differences were significant(t=18.101,33.170,25.708,all P＜0.05).The levels of STAT3 and IL-12p40,IL-13R α 2 were gradually increased with the increase of the children's subtypes,and the differences were significant(F=52.666,160.300,25.82,all P＜0.05).Pearson correlation analysis showed a positive correlation between serum STAT3,IL-12p40,and IL-13R α 2 levels in children with congenital intestinal atresia(r=0.496,0.564,all P＜0.001).The expression level of serum STAT3 in poor prognosis group(3.01±0.75)was higher than that in good prognosis group(1.88±0.51),and the differences was statistically significant(t=8.212,P＜0.05).Logistic regression showed that STAT3,IL-12p40,IL-13R α 2,and low birth quality were all independent risk factors for poor prognosis in children with congenital intestinal atresia(all P＜0.05).The ROC curve showed that the area under the curve(AUC)for evaluating the prognosis of children with congenital intestinal atresia by serum STAT3 expression was 0.916,with a sensitivity of 81.82％and a specificity of 88.46％,respectively.When the serum STAT3 mRNA level was higher than 2.47,children with congenital intestinal atresia had a higher probability of poor prognosis.Conclusion The expression of STAT3 is increased in the tissues and serum of children with congenital intestinal atresia.Serum STAT3 may have a predictive value for the prognosis of affected children.

Objective:To evaluate the clinical value of four dimensional ultrasound combined with pelvic floor surface electromyography in the assessment of bladder prolapse in primipara with different delivery modes.Methods:A total of 413 primipara 6-8 weeks after full-term delivery were selected from the obstetrics clinic of the Second Affiliated Hospital of Hainan Medical College from October 2021 to September 2023. They were divided into natural delivery group(349 cases) and cesarean section group(64 cases ). The characteristics of 4D pelvic floor ultrasound in the two groups were analyzed and summarized. Then 64 cases of primipara with pelvic floor surface electromyography were divided into bladder prolapse group (46 cases) and no bladder prolapse group(18 cases). The characteristics of four dimension ultrasound combined with pelvic floor surface electromyography in the two groups were analyzed, and the related risk factors of bladder prolapse were analyzed.Results:The bladder neck mobility and urethral rotation angle in the natural delivery group were higher than those in the cesarean section group (all P<0.05). Compared with the cesarean section group, the incidence of obvious prolapse and urethral infundibulation was higher in the natural delivery group, while the incidence of mild prolapse was lower than that in the cesarean section group (all P<0.05). Bladder neck mobility, urethral rotation angle and levator ani hiatal area in the prolapsed bladder group were higher than those in the non-prolapsed bladder group (all P<0.05). The maximum value of fast muscle stage and the mean value of slow muscle stage in the group with prolapse were lower than those in the group without prolapse (both P<0.05). Univariate Logistic regression analysis found that the risk factors for bladder prolapse were increased birth weight, natural delivery, increased bladder neck mobility, posterior bladder angle was opened, increased urethral rotation angle, increased levator ani hiatal area, decreased maximum value of fast muscle stage and decreased mean value of slow muscle stage. Multivariate Logistic regression analysis showed that increased ani hiatal area ( OR=2.216, P=0.015) and decreased maximum value of tater muscle stage ( OR=0.847, P=0.035) were risk factors for bladder prolapse. Conclusions:Pelvic floor ultrasound combine with pelvic floor surface electromyography can qualitatively and quantitatively evaluate the changes of pelvic floor muscle structure and function in postpartum women, and diagnose bladder prolapse and its degree. The increase of levator ani hiatal area and the decrease of maximum value of tater stage may be the risk factors for bladder prolapse at 6-8 weeks postpartum in primiparas.

Objective To evaluate the acute exacerbation of chronic obstructive pulmonary disease(COPD)(AECOPD)status via combining clinical data,lung function parameters with CT radiomic features based on machine learning method.Methods A total of 343 COPD patients,including 158 AECOPD patients and 185 non-AECOPD patients were retrospectively selected and randomly divided into training and testing sets at a ratio of 7∶3.The radiomics features were calculated after automatically delineating the whole lung volume of interest(VOI).Five machine learning methods were used to construct the AECOPD diagnostic model,then the corresponding Radiomics score(Rad-score)was calculated in the training set and was validated in the testing set.The logistic-combined model was established after integrating age,Global Initiative for Chronic Obstructive Lung Disease(GOLD)classification,vital capacity(VC),forced vital capacity(FVC),forced expiratory volume in one second(FEV1),FEV1％pred,FEV1/FVC％,peak expiratory flow(PEF),maximum ventilatory volume(MVV),and Rad-score value.The area under the curve(AUC)of receiver operating characteristic(ROC)curve was calculated to evaluate the evaluated performance of all models.Results The logistic regression model had the best diagnostic performance,with AUC of 0.724 and 0.758 in the training and testing sets,respectively.The performance of the logistic-combined model to diagnose AECOPD was superior to that of the single logistic regression model,with the AUC of 0.777 and 0.760 in the training and testing sets,respectively.Conclusion A combination strategy including clinical data,lung function parameters,and CT radiomics may be helpful to diagnose AECOPD status,with moderate diagnostic performance.