Background:Nutritional risk is highly prevalent among gastric cancer patients,yet accurate screening tools remain lacking.Aims:To construct and validate a nutritional risk prediction model for gastric cancer inpatients.Methods:From August 2023 to July 2024,a total of 295 gastric cancer inpatients admitted to the First Hospital of Qinhuangdao were enrolled,and divided into the model group(n=206)and validation group(n=89)at a ratio of 7∶3.Nutritional screening was performed in the model group using the nutritional risk screening 2002(NRS 2002)score.Univariate analysis and multivariate Logistic regression analysis were employed to identify the independent risk factors for nutritional risk,and a prediction model was constructed.The Hosmer-Lemeshow goodness-of-fit test was used to evaluate the consistency between the model constructed and NRS 2002 score.The predictive performance was assessed using ROC curve and validated in the independent cohort.Risk stratification was performed based on the cut-off value derived from the ROC curve,and the nutritional risk in different subgroups of the model group and validation group was assessed.Results:Multivariate Logistic regression analysis indicated that age≥68 years,body mass index(BMI)≤22 kg/m2,anorexia,dysphagia and anemia were the independent risk factors for nutritional risk in gastric cancer patients in the model group(all P<0.05).The prediction model had good consistency with the NRS 2002 score(P=0.567).ROC curve showed that the area under the curve(AUC)of the prediction model for predicting nutritional risk were 0.840(95%CI:0.785-0.895,P<0.001)for the model group and 0.895(95%CI:0.831-0.958,P<0.001)for the validation group when the cut-off value was set at 9.5 points.The proportion of patients with nutritional risk in high-risk subgroup was significantly higher than that in low-risk subgroup in both model group and validation group(P<0.001).Conclusions:The prediction model based on age,BMI,anorexia,dysphagia and anemia can effectively identify nutritional risk in gastric cancer inpatients and may serve as a clinical reference tool.

OBJECTIVE T o establish the automatic diagnosis system for varicella pneumonia based on multi-slice spiral computed tomography(MSCT)and verify its application value.METHODS The clinical data were collected from 295 patients with varicella who were treated in the hospital from Jan.2016 to Mar.2023 and assigned as the training set,the pulmonary imaging findings were acquired from the MSCT chest scanning.The automatic diagno-sis system for varicella pneumonia was established based on MSCT with the use of convolutional neural network technology.Totally 279 patients with varicella who were treated during the same period were chosen as the valida-tion set,the result of comprehensive diagnosis was set as gold standard,and the efficiency of the above system in diagnosis of varicella pneumonia was observed.RESULTS Totally 279 patients with varicella were included in the validation group,243 of whom had varicella pneumonia,and 36 had simple varicella infection.The sensitivity of the automatic diagnosis system established based on MSCT was 97.53％in diagnosis of the varicella pneumonia of the validation group,with the specificity 91.67％,the accuracy 96.77％,respectively higher than 93.83％,83.33％and 92.47％of MSCT,and it was highly consistent with the gold standard(Kappa=0.919,P＜0.001);there was consistency between MSCT and the gold standards(Kappa=0.675,P＜0.001).CONCLUSION The au-tomatic diagnosis system for varicella pneumonia established based MSCT can raise the sensitivity,specificity and accuracy in diagnosis of varicella pneumonia and have the advantages of automation and convenience,and serve as a new tool for clinical diagnosis of varicella pneumonia.

Objective:To explore the prognostic value of the age-adjusted Charlson comorbidity index (ACCI) in patients with stage IIB cervical squamous cell carcinoma (CSCC) who received radical concurrent chemoradiotherapy (rCCRT).Methods:Clinical data of 115 patients with stage IIB CSCC who underwent rCCRT at the First Affiliated Hospital of Xinxiang Medical University from January 2017 to January 2023 were retrospectively analyzed. Fourteen clinical factors, including ACCI, were assessed. Univariate and multivariate Cox regression analyses were performed to identify the independent prognostic factors for progression-free survival (PFS) and overall survival (OS). The optimal cut-off value for ACCI was determined using the receiver operating characteristic (ROC) curve analysis, and patients were divided into the high ACCI (ACCI > 3) and low ACCI (ACCI ≤ 3) groups. Survival differences between two groups were evaluated using Kaplan-Meier curves and compared by log-rank tests.Results:Multivariate Cox regression analysis revealed that ACCI was an independent prognostic factor for both PFS and OS ( HR=3.405, 95% CI: 1.108-10.467, P=0.032; HR=4.732, 95% CI: 1.363-16.425, P=0.014). Significant differences were observed in PFS and OS between the high and low ACCI groups ( P=0.023 and 0.003, respectively). The median PFS was 44 months in the high ACCI group and 56 months in the low ACCI group. The 2-year and 3-year PFS rates were 81.9% and 80.1% in the high ACCI group, and 94.4% and 94.4% in the low ACCI group, respectively. The median OS was 46 months in the high ACCI group and 56 months in the low ACCI group. The 2-year and 3-year OS rates were 88.3% and 84.7% in the high ACCI group, and 94.4% and 94.4% in the low ACCI group, respectively. Conclusions:For patients with stage IIB CSCC receiving rCCRT, ACCI is an independent and significant prognostic factor, with patients in the high ACCI group exhibiting worse prognosis.

ObjectiveTo construct a group-based trajectory model (GBTM) for early medication adherence check-in, and to analyze the relationship between different trajectories and treatment outcomes in tuberculosis patients using data that were generated from smart tools for monitoring their medication adherence and check-in. MethodsFrom October 1, 2022 to September 30, 2023, a total of 163 pulmonary tuberculosis patients diagnosed in Fengxian District were selected as the study subjects. The GBTM was utilized to analyze the weekly active check-in trajectories of the subjects during the first 4 weeks and establish different trajectory groups. The χ² tests were employed to compare the differences between groups and logistic regression analysis was conducted to explore the relationship between different trajectory groups and treatment outcomes. ResultsA total of four groups were generated by GBTM analyses, of which a low level of punch card was maintained in group A, 6% of the drug users increased rapidly from a low level in group B, 17% of drug users increased gradually from a low level in group C, and 18% of drug users maintained a high level of punch card in group D. The trajectory group was divided into two groups according to homogeneity, namely the low level medication punch card group (group A) and the high level medication punch card group (group B, group C, and group D). The results of multivariate logistic regression analyses revealed that low-level medication check-in (OR=3.250, 95%CI: 1.089‒9.696), increasing age (OR=1.030, 95%CI: 1.004‒1.056), and not undergoing sputum examination at the end of the fifth month (OR=2.746, 95%CI: 1.090‒7.009) were significantly associated with poor treatment outcomes. ConclusionThe medication check-in trajectory of pulmonary tuberculosis patients within the first 4 weeks is correlated with adverse outcomes, or namely consistent low-level medication adherence check-ins are associated with poor treatment outcomes, while high-level medication adherence check-ins are associated with a lower incidence of adverse outcomes.

Intentional tooth replantation (ITR) is an advanced treatment modality and the procedure of last resort for preserving teeth with inaccessible endodontic or resorptive lesions. ITR is defined as the deliberate extraction of a tooth; evaluation of the root surface, endodontic manipulation, and repair; and placement of the tooth back into its original socket. Case reports, case series, cohort studies, and randomized controlled trials have demonstrated the efficacy of ITR in the retention of natural teeth that are untreatable or difficult to manage with root canal treatment or endodontic microsurgery. However, variations in clinical protocols for ITR exist due to the empirical nature of the original protocols and rapid advancements in the field of oral biology and dental materials. This heterogeneity in protocols may cause confusion among dental practitioners; therefore, guidelines and considerations for ITR should be explicated. This expert consensus discusses the biological foundation of ITR, the available clinical protocols and current status of ITR in treating teeth with refractory apical periodontitis or anatomical aberration, and the main complications of this treatment, aiming to refine the clinical management of ITR in accordance with the progress of basic research and clinical studies; the findings suggest that ITR may become a more consistent evidence-based option in dental treatment.
Humans ; Tooth Replantation/methods* ; Consensus ; Periapical Periodontitis/surgery*

Instrument separation is a critical complication during root canal therapy, impacting treatment success and long-term tooth preservation. The etiology of instrument separation is multifactorial, involving the intricate anatomy of the root canal system, instrument-related factors, and instrumentation techniques. Instrument separation can hinder thorough cleaning, shaping, and obturation of the root canal, posing challenges to successful treatment outcomes. Although retrieval of separated instrument is often feasible, it carries risks including perforation, excessive removal of tooth structure and root fractures. Effective management of separated instruments requires a comprehensive understanding of the contributing factors, meticulous preoperative assessment, and precise evaluation of the retrieval difficulty. The application of appropriate retrieval techniques is essential to minimize complications and optimize clinical outcomes. The current manuscript provides a framework for understanding the causes, risk factors, and clinical management principles of instrument separation. By integrating effective strategies, endodontists can enhance decision-making, improve endodontic treatment success and ensure the preservation of natural dentition.
Humans ; Root Canal Therapy/adverse effects* ; Consensus ; Root Canal Preparation/adverse effects*

Objective: To investigate the prevalence of Dengue virus (DENV) infection among voluntary blood donors in Xishuangbanna Dai Autonomous Prefecture, and to evaluate the necessity of implementing nucleic acid testing (NAT) for blood donors during the rainy season (May-October). Methods: Prior to initiating donor screening, the Xishuangbanna Central Blood Center conducted in-house validation of reagent performance and participated in external quality assessment (EQA) organized by the National Center for Clinical Laboratories (NCCL). During the surveillance period (August-October 2024), a total of 2 919 donor samples were screened using a 6-sample mini-pool NAT strategy. Daily internal quality controls were recorded. Samples that tested positive in pooled screening were deconvoluted and retested in duplicate; only those reactive in both replicate wells were sent to the NCCL for confirmatory testing. At NCCL, samples underwent re-testing using five domestic NAT reagents, as well as serological assays for NS1 antigen and DENV-specific IgG/IgM. Confirmed positive samples were further characterized by serotyping, envelope (E) gene sequencing, and phylogenetic analysis using the maximum likelihood method. Results: The DENV NAT reagent demonstrated consistent detection of 40 copies/mL controls in individual donor (ID)-NAT test (mean CT: 35.61±0.40). During the 63-day quality control monitoring, DENV detection remained stable (mean CT: 22.53±0.72). The center achieved full marks in EQA assessments for 2023 and 2024. Three reactive pools were identified in initial screening, and subsequent individual testing confirmed three DENV RNA-positive donors (sample numbers: 2401, 2402, and 2403). The confirmatory test results from NCCL were: all five NAT platforms consistently detected DENV RNA in the three samples; for serological tests, 2 samples (2402, 2403) were positive for NS1 antigen, while all three samples were negative for both IgG and IgM antibodies. DENV serotyping reagents identified DENV-2 in all cases, which were further confirmed as DENV-2 Genotype Ⅱ-Cosmopolitan by E gene sequencing. Phylogenetic analysis indicated that samples 2401 and 2402 clustered with Southeast Asian strains (Thailand/MZ636802.1, Laos/PQ775621.1), while sample 2403 closely matched a previously reported local Yunnan strain (PV544686.1). Conclusion: DENV-2 infection was detected among blood donors in Xishuangbanna during the rainy season, indicating concurrent risks of imported and local transmission. We recommend implementing pooled NAT screening for blood donors in high-risk areas during dengue epidemic seasons, along with strengthened laboratory quality control, to enhance blood safety.

Abstract Kidney stones are common and frequently occurring diseases in urology. In recent years, the incidence of urinary stones has increased year by year, affecting people′s quality of life and aggravating the social and economic burden. The occurrence and development of kidney stones are closely related to metabolic factors. This review mainly conducts a systematic overview of the research on the relationship between electrolyte metabolism abnormalities, dyslipidemias and other metabolic disorder diseases and kidney stones in recent years.By exploring the relationship between various metabolic disorder diseases and kidney stones, this review provides reference for exploring the occurrence and development of kidney stones from the perspective of metabolism.

OBJECTIVE T o establish the automatic diagnosis system for varicella pneumonia based on multi-slice spiral computed tomography(MSCT)and verify its application value.METHODS The clinical data were collected from 295 patients with varicella who were treated in the hospital from Jan.2016 to Mar.2023 and assigned as the training set,the pulmonary imaging findings were acquired from the MSCT chest scanning.The automatic diagno-sis system for varicella pneumonia was established based on MSCT with the use of convolutional neural network technology.Totally 279 patients with varicella who were treated during the same period were chosen as the valida-tion set,the result of comprehensive diagnosis was set as gold standard,and the efficiency of the above system in diagnosis of varicella pneumonia was observed.RESULTS Totally 279 patients with varicella were included in the validation group,243 of whom had varicella pneumonia,and 36 had simple varicella infection.The sensitivity of the automatic diagnosis system established based on MSCT was 97.53％in diagnosis of the varicella pneumonia of the validation group,with the specificity 91.67％,the accuracy 96.77％,respectively higher than 93.83％,83.33％and 92.47％of MSCT,and it was highly consistent with the gold standard(Kappa=0.919,P＜0.001);there was consistency between MSCT and the gold standards(Kappa=0.675,P＜0.001).CONCLUSION The au-tomatic diagnosis system for varicella pneumonia established based MSCT can raise the sensitivity,specificity and accuracy in diagnosis of varicella pneumonia and have the advantages of automation and convenience,and serve as a new tool for clinical diagnosis of varicella pneumonia.

Background:Nutritional risk is highly prevalent among gastric cancer patients,yet accurate screening tools remain lacking.Aims:To construct and validate a nutritional risk prediction model for gastric cancer inpatients.Methods:From August 2023 to July 2024,a total of 295 gastric cancer inpatients admitted to the First Hospital of Qinhuangdao were enrolled,and divided into the model group(n=206)and validation group(n=89)at a ratio of 7∶3.Nutritional screening was performed in the model group using the nutritional risk screening 2002(NRS 2002)score.Univariate analysis and multivariate Logistic regression analysis were employed to identify the independent risk factors for nutritional risk,and a prediction model was constructed.The Hosmer-Lemeshow goodness-of-fit test was used to evaluate the consistency between the model constructed and NRS 2002 score.The predictive performance was assessed using ROC curve and validated in the independent cohort.Risk stratification was performed based on the cut-off value derived from the ROC curve,and the nutritional risk in different subgroups of the model group and validation group was assessed.Results:Multivariate Logistic regression analysis indicated that age≥68 years,body mass index(BMI)≤22 kg/m2,anorexia,dysphagia and anemia were the independent risk factors for nutritional risk in gastric cancer patients in the model group(all P<0.05).The prediction model had good consistency with the NRS 2002 score(P=0.567).ROC curve showed that the area under the curve(AUC)of the prediction model for predicting nutritional risk were 0.840(95%CI:0.785-0.895,P<0.001)for the model group and 0.895(95%CI:0.831-0.958,P<0.001)for the validation group when the cut-off value was set at 9.5 points.The proportion of patients with nutritional risk in high-risk subgroup was significantly higher than that in low-risk subgroup in both model group and validation group(P<0.001).Conclusions:The prediction model based on age,BMI,anorexia,dysphagia and anemia can effectively identify nutritional risk in gastric cancer inpatients and may serve as a clinical reference tool.