Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T _NANC), time to symptom improvement (T _SI), and time of hospital stay (T _HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T _NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective:We aimed to develop a novel visualized model based on nomogram to predict postoperative overall survival.Methods:This was a multicenter, retrospective, observational cohort study, including participants with histologically confirmed gastric and colorectal cancer who underwent radical surgery from 11 medical centers in China from August 1, 2015 to June 30, 2018. Baseline characteristics, histopathological data and nutritional status, as assessed using Nutrition Risk Screening 2002 (NRS 2002) score and the scored Patient-Generated Subjective Global Assessment, were collected. The least absolute shrinkage and selection operator regression and Cox regression were used to identify variables to be included in the predictive model. Internal and external validations were performed.Results:There were 681 and 127 patients in the training and validation cohorts, respectively. A total of 188 deaths were observed over a median follow-up period of 59 (range: 58 to 60) months. Two independent predictors of NRS 2002 and Tumor-Node-Metastasis (TNM) stage were identified and incorporated into the prediction nomogram model together with the factor of age. The model's concordance index for 1-, 3- and 5-year overall survival was 0.696, 0.724, and 0.738 in the training cohort and 0.801, 0.812, and 0.793 in the validation cohort, respectively.Conclusions:In this study, a new nomogram prediction model based on NRS 2002 score was developed and validated for predicting the overall postoperative survival of patients with gastric colorectal cancer. This model has good differentiation, calibration and clinical practicability in predicting the long-term survival rate of patients with gastrointestinal cancer after radical surgery.

Objective:Plateletcrit (PCT) is considered a new potential index to predict the degree of liver fibrosis in patients with chronic hepatitis B (CHB). This study aimed to explore the predictive value of PCT for the degree of liver fibrosis in patients with chronic hepatitis B virus (HBV) infection with alanine aminotransferase (ALT) < 2× upper limit of normal (ULN). Measurement data were compared using the t-test, ANOVA, or non-parametric test (Mann-Whitney U test). Categorical variables were compared using χ2 test or Fisher’s exact test. Methods:140 cases with chronic HBV infection who underwent liver biopsy and ALT < 2×ULN were enrolled from January 2016 to March 2021. Univariate and multivariate logistic regression and the area under the receiver operating characteristic curve (AUC) were used to determine the predictive value of PCT for the degree of liver fibrosis. The likelihood ratio (LR) was used to optimize the selection of the diagnostic cut-off.Results:(1) Among the 140 cases, there were 34 (24.3%) cases in the S0 stage, 47 (33.6%) cases in the S1 stage, 16 (11.4%) cases in the S2 stage, 19 (13.6%) cases in the S3 stage, and 24 (17.1%) cases in the S4 stage. The overall mean PCT level was 0.19 ± 0.06%. (2) Univariate analysis revealed that PCT between patients with stages of liver fibrosis was S(0-1) and S(2-4) (0.20% ± 0.05% vs. 0.16% ± 0.06%, t = 3.955, P < 0.001), S(0 -2) and S(3-4) (0.20% ± 0.05% vs. 0.15% ± 0.06%, t = 5.631, P < 0.001) and S(0-3) and S4 (0.20% ± 0.05% vs. 0.12% ± 0.05%, t = 7.113, P < 0.001), respectively, and the differences were statistically significant. Multivariate logistic regression analysis showed that PCT was an independent risk factor for liver fibrosis stages S(2-4), S(3-4), and S4 ( OR = 0.925, 95% CI: 0.859 – 0.997, P = 0.042; OR = 0.867, 95% CI: 0.789 – 0.954, P = 0.003; OR = 0.708, 95% CI: 0.593 – 0.846; P < 0.001). (3) The AUCs of PCT were 0.702, 0.777, and 0.885 for diagnosing liver fibrosis stages S(2-4), S(3-4), and S4 in patients with chronic HBV infection with ALT < 2×ULN. PCT was superior for the cirrhosis (S4) diagnosis. 92 (65.7%) cases were diagnosed as cirrhosis or non-cirrhosis according to the LR optimized diagnostic and exclusion diagnostic cut-offs (≤0.09%, ≤0.17%), with an accuracy of 97.8%. Conclusion:PCT has a high diagnostic and exclusion value for cirrhotic patients with chronic HBV infection with ALT < 2×ULN. Furthermore, it can be used as a non-invasive diagnostic index for determining and assisting the diagnosis of cirrhosis in resource-constrained areas, reducing the need for pathological examination of liver biopsies, and it has the advantage of being simple and intuitive without complex calculations.

The presence of replication-competent HBV DNA in the liver and/or serum of HBsAg-negative individuals is a sufficient and necessary condition for the diagnosis of occult hepatitis B virus infection (OBI). In recent years, Chinese scholars have proposed what is considered a more "rigorous" definition, i.e., on this basis, HBV window period (WP) infection is excluded, which corresponds to a serum HBV DNA level of below the lower limit of detection or a low positive value (< 200 IU/mL). As the definition of WP for HBV infection remains unclear and its duration is highly variable, "HBV DNA < 200 IU/mL" is not the only criterion in OBI patients. Therefore, it is believed that there is still a lack of sufficient basis and operability for the definition of OBI based on "the exclusion of HBV WP infection" and "HBV DNA < 200 IU/mL" as "rigorous" conditions for the diagnosis of OBI.

BACKGROUND/OBJECTIVES: This study aimed to investigate cancer-specific survival (CSS) and associated risk factors in elderly gastric cancer (EGC) patients. SUBJECTS/METHODS: EGC patients (≥ 70 yrs) who underwent curative gastrectomy between January 2013 and December 2017 at our hospital were included. Clinicopathologic characteristics and survival data were collected. Receiver operating characteristic (ROC) analysis was used to extract the best cutoff point for body mass index (BMI). A Cox proportional hazards model was used to determine the risk factors for CSS. RESULTS: In total, 290 EGC patients were included, with a median age of 74.7 yrs. The median follow-up time was 31 (1–77) mon. The postoperative 1-yr, 3-yr and 5-yr CSS rates were 93.7%, 75.9% and 65.1%, respectively. Univariate analysis revealed risk factors for CSS, including age (hazard ratio [HR] = 1.08; 95% confidence interval [CI], 1.01–1.15), intensive care unit (ICU) admission (HR = 1.73; 95% CI, 1.08–2.79), nutritional risk screening (NRS 2002) score ≥ 5 (HR = 2.33; 95% CI, 1.49–3.75), and preoperative prognostic nutrition index score < 45 (HR = 2.06; 95% CI, 1.27–3.33). The ROC curve showed that the best BMI cutoff value was 20.6 kg/m 2 . Multivariate analysis indicated that a BMI ≤ 20.6 kg/m 2 (HR = 2.30; 95% CI, 1.36–3.87), ICU admission (HR = 1.97; 95% CI, 1.17–3.30) and TNM stage (stage II: HR = 5.56; 95% CI, 1.59–19.43; stage III: HR = 16.20; 95% CI, 4.99–52.59) were significantly associated with CSS. CONCLUSIONS Low BMI (≤ 20.6 kg/m2 ), ICU admission and advanced pathological TNM stages (II and III) are independent risk factors for CSS in EGC patients after curative gastrectomy. Nutrition support, better perioperative management and early diagnosis would be helpful for better survival.

Objective:To improve the understanding of chronic lymphoblastic leukemia (CLL) with t(14;18)(q32;q21).Methods:The clinical data of 3 cases diagnosed as CLL with t(14;18)(q32;q21) in the Tianjin KingMed Medical Laboratory from January 2020 to January 2021 were retrospectively analyzed. The clinicopathological data, morphological examination, immunophenotype, cytogenetics and somatic mutation of immunoglobulin heavy chain variable region genes of patients were comprehensively analyzed, and the literature was reviewed.Results:All the 3 patients showed lymphatic proliferative diseases, and their morphological characteristics and immunophenotype were typical characteristics of CLL.Conclusions:The diagnosis of CLL is mainly based on the typical morphology and immunophenotype of tumor cells. The presence of t(14;18) should not be used to exclude the diagnosis of CLL.

Objective:To explore the necessity of lowering the cut-off value of alanine aminotransferase (ALT) in identifying chronic HBV infection patients with significant liver histological changes.Methods:The clinical data of 123 chronic HBV infection patients with normal ALT according to domestic criteria who underwent liver biopsy in the Department of Hepatology of Taizhou People’s Hospital from June 2016 to March 2021 were analyzed retrospectively. According to the cut-off ALT values recommended by 2018 version of AASLD guidelines (male 35 U/L, female 25 U/L), the patients were divided into two groups: high normal value group (HNALT, ALT≥AASLD and