OBJECTIVE To analyze the risk factors associated with serum digoxin concentration （SDC） exceeding the warning threshold and to construct a risk prediction model. METHODS Clinical data were retrospectively collected from hospitalized patients who received regular oral digoxin and completed therapeutic drug monitoring at Guangzhou First People’s Hospital and Nansha Branch of Guangzhou First People’s Hospital between September 2020 and March 2025. Patients with SDC＞2.0 ng/mL were classified as exceeding the warning threshold group， while those with SDC≤2.0 ng/mL were classified as the non-exceeding the warning threshold group. Based on univariate factor analysis， multivariate Logistic regression analysis was used to identify independent risk factors for SDC exceeding the warning threshold. A prediction model was developed and a nomogram was plotted accordingly. The discriminative ability of the model was evaluated by receiver operating characteristic （ROC） curve analysis， and the calibration curve were plotted to assess the calibration of the model. The Hosmer-Lemeshow test was employed to evaluate the goodness of fit of the model， and clinical utility was evaluated by decision curve analysis （DCA）. RESULTS A total of 254 patients were included， among whom 49 patients （19.29%） had SDC exceeding the warning threshold. Univariate factor analysis and multivariate Logistic regression analysis showed that increased daily dose per kilogram of body weight， advanced age， concomitant coronary heart disease， elevated serum creatinine levels， concomitant use of amiodarone， and concomitant use of deslanoside wer e independent risk factors for SDC exceeding the warning threshold （ P ＜0.05）. The area under the ROC curve of the model was 0.869 （95% confidence interval： 0.818-0.920）， with a sensitivity of 0.796 and a specificity of 0.842. The Hosmer-Lemeshow test showed good calibration （ P ＝0.570）. The calibration curve was closely aligned with the ideal curve， with a mean absolute error of 0.012. The model provided a higher net benefit across a threshold probability range of 6% to 82%. CONCLUSIONS The increased daily dose per kilogram of body weight， advanced age， concomitant coronary heart disease， elevated serum creatinine levels， concomitant use of amiodarone， and concomitant use of deslanoside are independent risk factors for SDC exceeding the warning threshold. The nomogram prediction model developed based on the aforementioned factors can be used to predict the risk of SDC exceeding the warning threshold.

Objective:To analyze the iodine nutrition status of children and adolescents and influencing factors in Zhejiang Province, providing scientific basis for optimizing iodine deficiency disorders (IDD) prevention and control strategies.Methods:In June 2022, a multistage stratified sampling method was used to divide 16 counties (cities, districts, abbreviated as counties) in Zhejiang Province into three categories based on their geographical locations (average distance from the coastline): coastal areas (including Dinghai District, Jiaojiang District, Sanmen County, Cixi City and Lucheng District), sub-coastal areas (including Wuxing District, Haining City, Linping District, Fuyang District and Fenghua District), and inland areas(including Suichang County, Changshan County, Shengzhou City, Jindong District, Dongyang City and Yongjia County). One county was selected from each category, and one township (street) was selected from each county. Two administrative villages (neighborhood committees) were selected from each township (street). Ten households including all children and adolescents aged 6-17 in each household were selected from each administrative village (neighborhood committee). Demographic information and personal dietary characteristics were collected via questionnaires, while household salt and a random urine sample were tested for iodine level. Trend analysis was conducted using a χ 2trend test, and a multivariate logistic stepwise regression model was used to analyze the influencing factors of urinary iodine levels. Results:A total of 755 children and adolescents aged 6-17 were selected, including 387 males (51.26%) and 368 females (48.74%), with an age of (11.24 ± 3.32) years. There were 269 children and adolescents in coastal areas (35.63%) and 409 children and adolescents in urban areas (54.17%). A total of 755 household salt samples were collected, with a median salt iodine concentration of 21.80 mg/kg. These included 263 non-iodized salt samples, 38 unqualified iodized salt samples, and 454 qualified iodized salt samples. The coverage rate of iodized salt was 65.17% (492/755), and the consumption rate of qualified iodized salt was 60.13% (454/755). The distribution of salt iodine quality among children and adolescents in different geographical locations showed statistically significant differences (χ 2 = 111.95, P < 0.001), with the proportion of non-iodized salt gradually decreasing from coastal areas to inland areas (χ 2trend = 90.17, P < 0.001). A total of 755 urine samples were collected, with a median urinary iodine concentration of 186.60 μg/L. The proportions of urinary iodine < 100, 100-199, 200-299, and ≥300 μg/L were 16.95% (128/755), 37.62% (284/755), 24.37% (184/755), and 21.06% (159/755), respectively. The χ 2trend test revealed a nonlinear positive correlation between salt iodine level and urinary iodine level (χ 2regression = 21.98, P < 0.001; χ 2partial = 6.96, P < 0.001). The frequency distribution of urinary iodine in children and adolescents from different geographical locations and between urban and rural areas showed statistically significant differences (χ 2 = 29.63, 16.56, P < 0.001). Among them, the proportion of children and adolescents with urinary iodine < 100 μg/L gradually decreasing from coastal areas to inland areas (χ 2trend = 6.15, P = 0.013). The results of multivariate logistic regression analysis revealed that sub-coastal regions, inland regions, and urban-rural regions ( OR = 1.57, 1.53, 1.64, 95% CI: 1.11-2.24, 1.03-2.27, 1.17-2.32, P < 0.05) were significantly associated with urinary iodine levels in children and adolescents aged 6-17. Conclusions:In 2022, the iodine nutrition of children and adolescents in Zhejiang Province is generally suitable, but there is a risk of iodine deficiency among coastal children and adolescents. Geographic location and urban/rural areas are influencing factors on iodine nutrition status of children and adolescents in Zhejiang Province.

BACKGROUND: At present, biopsy is essential for the diagnosis of prostate cancer (PCa) before radical prostatectomy (RP). However, with the development of prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) and multiparametric magnetic resonance imaging (mpMRI), it might be feasible to avoid biopsy before RP. Herein, we aimed to explore the feasibility of avoiding biopsy before RP in patients highly suspected of having PCa after assessment of PSMA PET/CT and mpMRI. METHODS: Between December 2017 and April 2022, 56 patients with maximum standardized uptake value (SUVmax) of ≥4 and Prostate Imaging Reporting and Data System (PI-RADS) ≥4 lesions who received RP without preoperative biopsy were enrolled from two tertiary hospitals. The consistency between clinical and pathological diagnoses was evaluated. Preoperative characteristics were compared among patients with different pathological types, T stages, International Society of Urological Pathology (ISUP) grades, and European Association of Urology (EAU) risk groups. RESULTS: Fifty-five (98%) patients were confirmed with PCa by pathology, including 49 (89%) with clinically significant prostate cancer (csPCa, defined as ISUP grade ≥2 malignancy). One patient was diagnosed with high-grade prostatic intraepithelial neoplasia (HGPIN). CsPCa patients, compared with clinically insignificant prostate cancer (cisPCa) and HGPIN patients, were associated with a higher level of prostate-specific antigen (22.9 ng/mL vs . 10.0 ng/mL, P = 0.032), a lower median prostate volume (32.2 mL vs . 65.0 mL, P = 0.001), and a higher median SUVmax (13.3 vs . 5.6, P <0.001). CONCLUSIONS It might be feasible to avoid biopsy before RP for patients with a high probability of PCa based on PSMA PET/CT and mpMRI. However, the diagnostic efficacy of csPCa with PI-RADS ≥4 and SUVmax of ≥4 is inadequate for performing a procedure such as RP. Further prospective multicenter studies with larger sample sizes are necessary to confirm our perspectives and establish predictive models with PSMA PET/CT and mpMRI.
Humans ; Male ; Prostatectomy/methods* ; Prostatic Neoplasms/diagnosis* ; Middle Aged ; Aged ; Positron Emission Tomography Computed Tomography/methods* ; Biopsy ; Multiparametric Magnetic Resonance Imaging ; Prostate-Specific Antigen/metabolism*

Objective:To explore the clinical features, genetic traits and prognosis status of acute myeloid leukemia (AML) patients with TP53 mutation.Methods:A retrospective case series study was performed. Clinical data of 42 AML patients with TP53 mutation abundance of at least 10% who were admitted to the First Hospital of Jilin University from April 2018 to August 2023 were collected. Chromosomal karyotypes were detected using fluorescence in situ hybridization (FISH), and next-generation sequencing (NGS) was performed on bone marrow samples from these patients. The Kaplan-Meier method was utilized to analyze the recurrence-free survival (RFS) of 22 patients who achieved complete remission (CR) after induction therapy, as well as the overall survival (OS) of 39 patients who underwent treatment. The Cox proportional hazards model was employed to analyze the factors influencing RFS and OS. Thirty-one patients who underwent induction therapy for ≥ 2 courses were divided into the non-refractory group (22 cases) and the refractory group (9 cases) based on whether CR was achieved after induction therapy, and the clinical and genetic characteristics and prognosis of the two groups were compared.Results:Among the 42 AML patients with TP53 mutation, there were 26 males and 16 females, with a median age [ M( Q1, Q3)] of 57.0 (44.0, 63.5) years. At the initial stage, the median white blood cell count in peripheral blood was 4.06×10 9/L (2.59×10 9/L, 27.36×10 9/L), the median proportion of bone marrow primitive cells was 45.25% (29.00%, 80.63%), the proportion of primitive and immature cells in bone marrow cell immune analysis was 28.70% (12.71%, 61.48%), and the median TP53 mutation abundance was 55.48% (38.72%, 73.31%). Among the 42 patients, 23 cases (54.76%) had complex chromosomal karyotypes, with the most frequent abnormal chromosomes being chromosome 5 (47.62%, 20 cases), chromosome 7 (45.24%, 19 cases) and chromosome 17 (26.19%, 10 cases). The mutant genes with high mutation frequency were DNMT3A (19.05%, 8 cases), N/KRAS (19.05%, 8 cases), ASXL1 (16.67%, 7 cases) and NPM1 (16.67%, 7 cases). Among the 39 patients with detailed TP53 mutation data, 36 had missense mutations and 3 had frameshift mutations. In the non-refractory and refractory groups, the N/KRAS mutation rates were 13.6% (3/22) and 55.6% (5/9), respectively ( P = 0.027). The median RFS time of 22 CR patients after induction therapy was 109 d (95% CI: 57-483 d). The results of multivariate Cox regression analysis showed that complex chromosomal karyotype was an independent risk factor for RFS ( HR = 11.819, 95% CI: 1.345-103.880, P = 0.028). The median RFS time of patients without and with complex chromosomal karyotypes was 842 d (95% CI: 0-1 716 d) and 148 d (95% CI: 88-208 d), respectively, and the difference in RFS between the two groups was statistically significant ( P = 0.001). The median OS time of 39 patients receiving treatment was 151 d (95% CI: 75-227 d). The results of multivariate Cox regression analysis showed that NPM1 gene mutation was an independent protective factor for OS ( HR = 0.289, 95% CI: 0.075-1.114, P = 0.071). The median OS time of patients with and without NPM1 gene mutation was 1 562 d (95% CI: 610- 1 710 d) and 136 d (95% CI: 99-173 d), respectively, and the difference in OS between the two groups was statistically significant ( P = 0.020). Conclusions:TP53-mutant AML patients often have poor chromosomal karyotypes and genetic abnormalities, while refractory AML patients often have N/KRAS mutation. The complex chromosomal karyotype is a risk factor for RFS, while NPM1 gene mutation is a protective factor for OS.

The incidence of juvenile Hereditary Hemochromatosis caused by HAMP gene mutation is low, which is rarely reported in China. This patient took abnormal liver function as the first symptom, and was finally diagnosed by genetic testing and hepatic histopathology, and treated by venous bloodletting.

Copper, as a kind of trace element, is crucial for the physiological functions of various key enzymes in the body, and the liver plays a central role in maintaining copper metabolism. Theoretically, dysfunction in the body’s metabolic processes, such as copper absorption, transportation, and excretion, can lead to copper deposition or deficiency in various organs. Wilson’s disease’s characteristic pathological manifestation is deposition of copper in liver. However, during liver pathological examinations, it has been found in clinical practice that certain patients with non-Wilson's disease and inherited metabolic liver disease may also have copper deposition. This review summarizes the inherited metabolic liver diseases that can cause liver copper deposition, their related pathogenesis, and the differential diagnosis approach from the perspectives of clinical and pathological characteristics.

Objective:To analyze the iodine nutrition status of children and adolescents and influencing factors in Zhejiang Province, providing scientific basis for optimizing iodine deficiency disorders (IDD) prevention and control strategies.Methods:In June 2022, a multistage stratified sampling method was used to divide 16 counties (cities, districts, abbreviated as counties) in Zhejiang Province into three categories based on their geographical locations (average distance from the coastline): coastal areas (including Dinghai District, Jiaojiang District, Sanmen County, Cixi City and Lucheng District), sub-coastal areas (including Wuxing District, Haining City, Linping District, Fuyang District and Fenghua District), and inland areas(including Suichang County, Changshan County, Shengzhou City, Jindong District, Dongyang City and Yongjia County). One county was selected from each category, and one township (street) was selected from each county. Two administrative villages (neighborhood committees) were selected from each township (street). Ten households including all children and adolescents aged 6-17 in each household were selected from each administrative village (neighborhood committee). Demographic information and personal dietary characteristics were collected via questionnaires, while household salt and a random urine sample were tested for iodine level. Trend analysis was conducted using a χ 2trend test, and a multivariate logistic stepwise regression model was used to analyze the influencing factors of urinary iodine levels. Results:A total of 755 children and adolescents aged 6-17 were selected, including 387 males (51.26%) and 368 females (48.74%), with an age of (11.24 ± 3.32) years. There were 269 children and adolescents in coastal areas (35.63%) and 409 children and adolescents in urban areas (54.17%). A total of 755 household salt samples were collected, with a median salt iodine concentration of 21.80 mg/kg. These included 263 non-iodized salt samples, 38 unqualified iodized salt samples, and 454 qualified iodized salt samples. The coverage rate of iodized salt was 65.17% (492/755), and the consumption rate of qualified iodized salt was 60.13% (454/755). The distribution of salt iodine quality among children and adolescents in different geographical locations showed statistically significant differences (χ 2 = 111.95, P < 0.001), with the proportion of non-iodized salt gradually decreasing from coastal areas to inland areas (χ 2trend = 90.17, P < 0.001). A total of 755 urine samples were collected, with a median urinary iodine concentration of 186.60 μg/L. The proportions of urinary iodine < 100, 100-199, 200-299, and ≥300 μg/L were 16.95% (128/755), 37.62% (284/755), 24.37% (184/755), and 21.06% (159/755), respectively. The χ 2trend test revealed a nonlinear positive correlation between salt iodine level and urinary iodine level (χ 2regression = 21.98, P < 0.001; χ 2partial = 6.96, P < 0.001). The frequency distribution of urinary iodine in children and adolescents from different geographical locations and between urban and rural areas showed statistically significant differences (χ 2 = 29.63, 16.56, P < 0.001). Among them, the proportion of children and adolescents with urinary iodine < 100 μg/L gradually decreasing from coastal areas to inland areas (χ 2trend = 6.15, P = 0.013). The results of multivariate logistic regression analysis revealed that sub-coastal regions, inland regions, and urban-rural regions ( OR = 1.57, 1.53, 1.64, 95% CI: 1.11-2.24, 1.03-2.27, 1.17-2.32, P < 0.05) were significantly associated with urinary iodine levels in children and adolescents aged 6-17. Conclusions:In 2022, the iodine nutrition of children and adolescents in Zhejiang Province is generally suitable, but there is a risk of iodine deficiency among coastal children and adolescents. Geographic location and urban/rural areas are influencing factors on iodine nutrition status of children and adolescents in Zhejiang Province.

The incidence of juvenile Hereditary Hemochromatosis caused by HAMP gene mutation is low, which is rarely reported in China. This patient took abnormal liver function as the first symptom, and was finally diagnosed by genetic testing and hepatic histopathology, and treated by venous bloodletting.

Copper, as a kind of trace element, is crucial for the physiological functions of various key enzymes in the body, and the liver plays a central role in maintaining copper metabolism. Theoretically, dysfunction in the body’s metabolic processes, such as copper absorption, transportation, and excretion, can lead to copper deposition or deficiency in various organs. Wilson’s disease’s characteristic pathological manifestation is deposition of copper in liver. However, during liver pathological examinations, it has been found in clinical practice that certain patients with non-Wilson's disease and inherited metabolic liver disease may also have copper deposition. This review summarizes the inherited metabolic liver diseases that can cause liver copper deposition, their related pathogenesis, and the differential diagnosis approach from the perspectives of clinical and pathological characteristics.

For two young female patients with extramedullary recurrence of reproductive system after allogeneic hematopoietic stem cell transplantation for acute myeloid leukemia. And the characteristics of extramedullary relapse of reproductive system are summarized for exploring possible effective treatments.