Objective To externally validate a prediction model based on clinical and CT imaging features for the preoperative identification of high-grade patterns (HGP), such as micropapillary and solid subtypes, in early-stage lung adenocarcinoma, in order to guide clinical treatment decisions. Methods This study conducted an external validation of a previously developed prediction model using a cohort of patients with clinical stage ⅠA lung adenocarcinoma from the Fourth Hospital of Hebei Medical University. The model, which incorporated factors including tumor size, density, and lobulation, was assessed for its discrimination, calibration performance, and clinical impact. Results A total of 650 patients (293 males, 357 females; age range: 30-82 years) were included. The validation showed that the model demonstrated good performance in discriminating HGP (area under the curve>0.7). After recalibration, the model's calibration performance was improved. Decision curve analysis (DCA) indicated that at a threshold probability>0.6, the number of HGP patients predicted by the model closely approximated the actual number of cases. Conclusion This study confirms the effectiveness of a clinical and imaging feature-based prediction model for identifying HGP in stage ⅠA lung adenocarcinoma in a clinical setting. Successful application of this model may be significant for determining surgical strategies and improving patients' prognosis. Despite certain limitations, these findings provide new directions for future research.

BACKGROUND:Cognitive impairment is the most common complication after stroke,and its severity is closely related to the patient's prognosis.The prognosis of patients can be significantly improved if the severity of their cognitive impairment is recognized and targeted early.OBJECTIVE:To initially explore potential biomarkers affecting the progression of post-stroke cognitive impairment,thereby providing a richer and unique reference for the study of their pathophysiological mechanisms.METHODS:Using ultra performance liquid chromatography-mass spectrometry,non-targeted metabolomics analysis was conducted on serum samples from patients with mild and moderate post-stroke cognitive impairment to identify differential metabolites between the two groups.To further validate the diagnostic efficacy of the differential metabolites,the receiver operating characteristic curve analysis was used to evaluate their accuracy and sensitivity in distinguishing disease severity.In addition,pathway analysis was conducted on the differential metabolites.RESULTS AND CONCLUSION:(1)There were significant differences in metabolic profiles between patients with mild and moderate post-stroke cognitive impairment,and 9 differential metabolites were screened by the receiver operating characteristic curve.(2)Differential metabolite pathway analysis revealed that the metabolic pathways affecting disease progression in patients with mild-to-moderate post-stroke cognitive impairment included tryptophan metabolism,D-amino acid metabolism,biotin metabolism,retinol metabolism,aminoacyl-tRNA biosynthesis,lysine degradation,protein digestion and uptake,pyrimidine metabolism,cysteine and methionine metabolism,ABC transporter proteins,amino acid biosynthesis,and 2-oxocarboxylic acid metabolism.To conclude,9 potential biomarkers affecting disease progression in patients with mild-to-moderate post-stroke cognitive impairment have been identified,involving 12 metabolic pathways including tryptophan metabolism,D-amino acid metabolism and retinol metabolism.

Objective:To construct a nursing quality evaluation indicator system for pulse indicator continuous cardiac output (PiCCO) monitoring and provide a basis for evaluating the nursing quality of PiCCO monitoring.Methods:Using Donabedian′s "structure-process-result" three-dimensional quality evaluation model as the theoretical framework, the nursing quality evaluation indicator system for PiCCO was established through literature search, Delphi expert correspondence, and hierarchical analysis during the period May to August 2023.Results:Of the 22 experts, 6 were male and 16 were female, aged (46.59 ± 4.34) years. The return rates of the questionnaires of the 2 rounds of expert correspondence were both 100%, the coefficients of expert authority were both 0.945, and the Kendall coordination coefficients were 0.045-0.186 ( χ2 values were 2.00-221.46, all P<0.05) and 0.045-0.132 ( χ2 values were 2.00-82.16, all P<0.05), respectively. The finalized nursing quality evaluation indicator system for PiCCO included 3 primary indicators, 7 secondary indicators, and 36 tertiary indicators. Conclusions:The nursing quality evaluation indicator system for PiCCO is practical and scientific, which can provide reference for PiCCO monitoring nursing quality evaluation.

Objective:To construct a nursing quality evaluation indicator system for pulse indicator continuous cardiac output (PiCCO) monitoring and provide a basis for evaluating the nursing quality of PiCCO monitoring.Methods:Using Donabedian′s "structure-process-result" three-dimensional quality evaluation model as the theoretical framework, the nursing quality evaluation indicator system for PiCCO was established through literature search, Delphi expert correspondence, and hierarchical analysis during the period May to August 2023.Results:Of the 22 experts, 6 were male and 16 were female, aged (46.59 ± 4.34) years. The return rates of the questionnaires of the 2 rounds of expert correspondence were both 100%, the coefficients of expert authority were both 0.945, and the Kendall coordination coefficients were 0.045-0.186 ( χ2 values were 2.00-221.46, all P<0.05) and 0.045-0.132 ( χ2 values were 2.00-82.16, all P<0.05), respectively. The finalized nursing quality evaluation indicator system for PiCCO included 3 primary indicators, 7 secondary indicators, and 36 tertiary indicators. Conclusions:The nursing quality evaluation indicator system for PiCCO is practical and scientific, which can provide reference for PiCCO monitoring nursing quality evaluation.

BACKGROUND:Cognitive impairment is the most common complication after stroke,and its severity is closely related to the patient's prognosis.The prognosis of patients can be significantly improved if the severity of their cognitive impairment is recognized and targeted early.OBJECTIVE:To initially explore potential biomarkers affecting the progression of post-stroke cognitive impairment,thereby providing a richer and unique reference for the study of their pathophysiological mechanisms.METHODS:Using ultra performance liquid chromatography-mass spectrometry,non-targeted metabolomics analysis was conducted on serum samples from patients with mild and moderate post-stroke cognitive impairment to identify differential metabolites between the two groups.To further validate the diagnostic efficacy of the differential metabolites,the receiver operating characteristic curve analysis was used to evaluate their accuracy and sensitivity in distinguishing disease severity.In addition,pathway analysis was conducted on the differential metabolites.RESULTS AND CONCLUSION:(1)There were significant differences in metabolic profiles between patients with mild and moderate post-stroke cognitive impairment,and 9 differential metabolites were screened by the receiver operating characteristic curve.(2)Differential metabolite pathway analysis revealed that the metabolic pathways affecting disease progression in patients with mild-to-moderate post-stroke cognitive impairment included tryptophan metabolism,D-amino acid metabolism,biotin metabolism,retinol metabolism,aminoacyl-tRNA biosynthesis,lysine degradation,protein digestion and uptake,pyrimidine metabolism,cysteine and methionine metabolism,ABC transporter proteins,amino acid biosynthesis,and 2-oxocarboxylic acid metabolism.To conclude,9 potential biomarkers affecting disease progression in patients with mild-to-moderate post-stroke cognitive impairment have been identified,involving 12 metabolic pathways including tryptophan metabolism,D-amino acid metabolism and retinol metabolism.

Objective To explore the impact of alcoholics anonymous (AA) online video conferences on relapse among alcohol dependent patients. Method Alcohol dependent patients who were hospitalized and discharged from the Mental Health Center of the First Hospital of Hebei Medical University from March 2020 to March 2022 were randomly divided into the AA group and the non AA group. The AA group underwent a 12-month remote AA treatment,participating in an AA online video conference once a week. The non-AA group did not receive any intervention. At baseline,the general condition of the subjects,such as alcohol consumption and addiction duration,as well as the severity of anxiety and depression symptoms,were evaluated. At 12 months after enrollment,clinicians communicated and assessed the subjects and their families via telephone or WeChat. The assessments included changes in anxiety and depression among the subjects,relapse into drinking,duration of abstinence after discharge,and other relevant factors. Result Eighty subjects were included,including 32 in the AA group and 48 in the non AA group. After intervention,the proportion of the AA group patients who resumed drinking was lower than that of the non AA group (68.8％ vs. 93.8％,P<0.01). The median duration of abstinence in the AA group was 7.5 (3.0,12.0) months,while the median duration of abstinence in the non AA group was 1.0 (0.3,5.0) months,with a significant difference (P<0.01). Multivariate logistic regression analysis showed that the risk of relapse in the non AA group was 14.85 times higher than that in the AA group (OR=14.85,95％CI:2.33-94.57). Conclusion Online videos for AA in quitting alcohol are convenient and easy to implement for alcohol dependent patients. This remote treatment can significantly prolong the duration of abstinence among alcohol dependent patients.

Objective:To identify the genetic causes of adverse pregnancy outcomes in five families and provide a basis for rational guidance on genetic and reproductive counseling.Methods:A retrospective analysis was conducted on five families with a history of adverse pregnancy outcomes, where one partner was found to have a cryptic balanced translocation. These cases were identified among pregnant women who underwent invasive prenatal diagnosis at the Department of Medical Genetics and Prenatal Diagnosis, Wuxi Maternity and Child Health Care Hospital, from January 2016 to June 2023. Conventional G-banding karyotyping and chromosomal microarray analysis (CMA) were performed on affected children/fetus samples. Chromosome G-banding and fluorescence in situ hybridization (FISH) were used for parental tracing. Genetic counseling was provided for all cases, and the pregnancy outcomes were followed up. Descriptive analysis was applied in this study. Results:Case 1 involved an eldest son with unexplained intellectual disability, and the CMA results showed an 8.6 Mb deletion in the 4p16.3p16.1 region and a 1.0 Mb duplication in the 7q36.3 region. Unbalanced translocations were detected in the current pregnancies of the other four cases, which were a 6.1 Mb duplication in the 14q32.2q32.33 region with a 1.6 Mb deletion in the 21q22.3 region (Case 2), a 10.8 Mb duplication in the 6q25.3q27 region with a 1.2 Mb deletion in the 15q26.3 region (Case 3), a 1.0 Mb duplication in the 5p15.33 region with a 2.9 Mb deletion in the 6q27 region (Case 4), and a 3.2 Mb deletion in the 1q44 region with a 4.8 Mb duplication in the 19p13.3 region (Case 5). FISH confirmed that either the husband or the wife in each of the five families was a carrier of a cryptic balanced translocation. Further CMA testing on amniotic fluid samples from previous terminated pregnancies of Cases 3 and 4 also indicated unbalanced translocations. Both the current pregnancy of Case 1 and the subsequent pregnancy of Case 2 gave birth to healthy babies after non-abnormal prenatal diagnosis and genetic counseling. Cases 3 to 5 are currently preparing for pregnancy.Conclusion:Advances and combined application of genetic technologies will be conducive to improving the diagnosis of cryptic balanced translocations in some families with adverse pregnancy outcomes, providing a sound basis for genetic counseling in future pregnancy.

Objective:To determine incidence of seasonal influenza virus infection in the community and to analyze the factors influencing seasonal influenza virus infection.Methods:This study recruited residents aged 6-59 years to build a cohort in 15 villages/streets in Macheng city in November 2019. Meanwhile, a cross-sectional baseline survey was conducted immediately to collect sera, information on demographics and child protection knowledge, behaviors, as well as attitudes using a questionnaire from the participants enrolled in the cohort (i.e., before the influenza epidemic season). In July 2020, a cross-sectional follow-up survey was conducted to collect sera once again (i.e., after the influenza season). Paired sera from the two cross-sectional surveys were tested for influenza virus-specific antibodies by hemagglutination inhibition (HI) test or micro-neutralization (MN) test using a circulating representative strain of each subtype/lineage of influenza virus as the test antigen. The infections with influenza virus subtype/lineage was confirmed if there was a four-fold or more increase in titers of antibodies against circulating representative strain of the subtype/lineage of influenza virus. Factors influencing infection with influenza A (H3N2) and B/Victoria viruses were analyzed using univariable and multivariable logistic regression.Results:In November 2019, 800 study participants were enrolled in the cohort, including 340 children aged 6-17 years and 460 adults aged 18-59 years; 605 study participants (including 224 children and 381 adults) were followed up in July 2020 and their paired sera were obtained before and after the influenza season. 25.3% (153/605) of the participants were confirmed to be infected with at least one subtype/lineage of seasonal influenza virus by HI and MN tests. The overall incidence of influenza viruses of all subtypes/lineages in children was 44.2% (95% CI: 37.6%-50.8%) which was significantly higher than the incidence of 14.1% in adults (95% CI: 10.7%-17.7%). Children had the highest incidence of influenza A (H3N2) virus infection, followed by B/Victoria. MN or HI antibody titers in A (H3N2)[ OR=0.88 (95% CI: 0.84-0.93)] and B/Victoria[ OR=0.97 (95% CI: 0.95-0.99)] before the influenza season were significantly associated with whether children were infected with that subtype/lineage of influenza virus. Conclusions:The residents aged 6-59 years in Macheng city had a substantial incidence of seasonal influenza virus infection during the influenza season from winter 2019 to spring 2020. Notably, almost half of children aged 6-17 years have been infected with seasonal influenza virus. Higher titers of HI/MN antibodies against seasonal influenza virus before the influenza season would be likely to reduce the risk of infection with influenza A (H3N2) and B/Victoria.

Objective:To investigate the overall recurrence rate and the pattern of treatment failure in thoracic esophageal cancer (TEC) patients after minimally invasive esophagectomy (MIE), and to evaluate the significance of adjuvant therapy after MIE.Methods:Clinical data of TEC patients who underwent MIE with or without neoadjuvant chemotherapy in the Fourth Hospital of Hebei Medical University between 2016 and 2018 were retrospectively analyzed. The pathology-based lymph node metastasis (LNM) rate, overall recurrence rate, and pattern of treatment failure following MIE were analyzed by SPSS 26.0 statistical software. Cox regression model was used to identify the high-risk factors for recurrent disease. Propensity score matching was performed to compare the survival of patients between the postoperative radiotherapy group and non-radiotherapy group.Results:A total of 443 eligible patients were enrolled in this study, and the pathology-based LNM rate in all groups was 42.0%. The overall recurrence rate was 34.8%. Regional lymphatic metastasis was the most frequent pattern of recurrence (24.2%), followed by distant metastasis (19.4%). Multivariate Cox regression analysis identified pT 3-4 stage and pN + stage as the independent risk factors for recurrence. At the same time, the total number of lymph nodes dissected ≥12 and the number of lymph nodes dissected ≥7 in the neck clavicle and upper mediastinum could reduce the risk of tumor recurrence. The 1-, 3-, and 5-year disease-free survival (DFS) rates in the postoperative radiotherapy group and non-radiotherapy group were 83.5%, 66.8%, 60.7%, and 79.2%, 61.6%, 57.2%, respectively ( χ2=0.13, P=0.715). The 1-, 3-, and 5-year overall survival (OS) rates in two groups were 92.0%, 72.0%, 67.5% and 84.0%, 68.0%, 55.4% , respectively ( χ2=0.43, P=0.513). Conclusions:Regional lymphatic and distant metastases are the main patterns of recurrence for TEC patients after MIE with or without neoadjuvant chemotherapy. pT 3-4 stage, pN + stage, insufficient total number of lymph node dissection and insufficient number of lymph nodes in neck supraclavicular and upper mediastinal dissection are high-risk factors for postoperative recurrence. The survival rate in the postoperative radiotherapy group tends to be higher than that in the non-radiotherapy group. Adjuvant therapy, including postoperative radiotherapy, may remain necessary.

Objective To explore the impact of alcoholics anonymous (AA) online video conferences on relapse among alcohol dependent patients. Method Alcohol dependent patients who were hospitalized and discharged from the Mental Health Center of the First Hospital of Hebei Medical University from March 2020 to March 2022 were randomly divided into the AA group and the non AA group. The AA group underwent a 12-month remote AA treatment,participating in an AA online video conference once a week. The non-AA group did not receive any intervention. At baseline,the general condition of the subjects,such as alcohol consumption and addiction duration,as well as the severity of anxiety and depression symptoms,were evaluated. At 12 months after enrollment,clinicians communicated and assessed the subjects and their families via telephone or WeChat. The assessments included changes in anxiety and depression among the subjects,relapse into drinking,duration of abstinence after discharge,and other relevant factors. Result Eighty subjects were included,including 32 in the AA group and 48 in the non AA group. After intervention,the proportion of the AA group patients who resumed drinking was lower than that of the non AA group (68.8％ vs. 93.8％,P<0.01). The median duration of abstinence in the AA group was 7.5 (3.0,12.0) months,while the median duration of abstinence in the non AA group was 1.0 (0.3,5.0) months,with a significant difference (P<0.01). Multivariate logistic regression analysis showed that the risk of relapse in the non AA group was 14.85 times higher than that in the AA group (OR=14.85,95％CI:2.33-94.57). Conclusion Online videos for AA in quitting alcohol are convenient and easy to implement for alcohol dependent patients. This remote treatment can significantly prolong the duration of abstinence among alcohol dependent patients.