ObjectiveTo analyze the incidence rate and mortality of acute myocardial infarction (AMI) and their changing trends among the registered residents in Xiaoshan District, Hangzhou City from 2017 to 2023, so as to provide references for formulating policies related to AMI prevention. MethodsThe morbidity and mortality data of AMI among the registered residents in Xiaoshan District from 2017 to 2023 were collected through the Hangzhou Chronic Disease and Death Cause Monitoring System. Software such as Excel 2019, SPSS 25.0 and Joinpoint 4.9.1.0 were used to calculate the incidence rate, mortality, and average annual percentage change (AAPC) of AMI. ResultsFrom 2017 to 2023, the average annual crude incidence rate, age-standardized incidence rate using China standard population (ASIRC), and the age-standardized incidence rate using World standard population (ASIRW) of AMI in Xiaoshan District were 48.25/100 000, 29.14/100 000, and 21.64/100 000, respectively, and, from which the AAPCs were 5.495%, 6.010%, and 6.533%, respectively, all showing an upward trend. The average annual crude mortality rate, the age-standardized mortality rate using China standard population (ASMRC), and the age-standardized mortality rate using World standard population (ASMRW) were 11.76/100 000, 6.52/100 000, and 4.71/100 000, respectively, from which the AAPCs were -9.669%, -10.433% and -9.615%, respectively, all showing a downward trend. The average annual crude incidence rate of AMI was higher in males (65.87/100 000) than that in females (31.31/100 000). Moreover, the average annual crude mortality rate of AMI was higher in males (14.08/100 000) than that in females (9.52/100 000), and the difference was statistically significant (all P<0.001) .After age grouping, the crude incidence rate of AMI among the residents aged 35-, 45-, 55-, and 65- years in Xiaoshan District from 2017 to 2023 showed an upward trend over time, with AAPCs of 16.993%, 17.149%, 8.523%, and 5.002%, respectively. While the crude mortality rate in residents aged 35-, 75-, and 85-102 years showed an decreasing trend over time, with AAPCs of -23.977%, -15.467%, and -17.415%, respectively, but there was no statistically significant difference in the trends in incidence rate and mortality of other age groups (all P>0.05). ConclusionThe situation of AMI prevention and control among the registered residents in Xiaoshan District is not optimistic, and targeted measures should be strengthened for the male residents aged ≥35 years old.

To address the issue of reduced signal quality of photoplethysmography caused by local fluctuation,an approach called locally orthogonal weighted polynomial fitting(LOWPF)is proposed for signal smoothing.After determining the positions of the fluctuation sequences using the forward-backward difference XOR method,weighted polynomial fitting is applied to these sequences,and the fitted values are used to replace the fluctuation sequences to achieve signal smoothing.By constructing orthogonal basis functions,the condition number of the coefficient matrix is reduced,and the stability of the equation system solution for higher-order fitting is improved.Simulation results demonstrate that the smoothed signal's XOR smoothness of the proposed method surpasses that of the moving average algorithm and the empirical mode decomposition reconstruction algorithm.The smoothing results on 241 sets of measured PPG signals show that LOWPF achieves an efficiency of smoothness of 89.10%,significantly higher than the 78.05%of empirical mode decomposition and the 59.13%of the 5-point moving average algorithm.LOWPF has promising application prospects for smoothing signals with significant local fluctuations.

Esophageal cancer is one of the most prevalent malignant tumors globally.Its clinical management is challenged by difficulties in early diagnosis,significant inter-individual variability in therapeutic efficacy,and high rates of tumor residuals and recurrence.Circulating tumor DNA(ctDNA),a novel liquid biopsy biomarker,reflects tumor burden and genetic characteristics.It offers advantages such as non-invasiveness,repeatability,and real-time dynamic monitoring,pro-viding a promising approach for precision diagnosis and treatment of esophageal cancer.In recent years,ctDNA has shown remarkable progress in the early detection,efficacy prediction,prognos-tic assessment,and monitoring of tumor residuals and recurrence in esophageal cancer,emerging as an essential tool in the clinical management of the disease.This review summarizes the latest advancements in ctDNA research in esophageal cancer,providing valuable insights and inspiration for future studies and clinical applications.

Objective To establish the reference interval of urine Alzheimer-associated neuronal thread protein(AD7c-NTP)for healthy adults in Mianyang area using the indirect method.Methods The detection results of urine AD7c-NTP from 5 093 healthy in-dividuals were collected from the information management database of Medical Laboratory Department of Sichuan Science City Hospital from March 2017 to March 2022.Skewness-kurtosis and Kolmogorov-Smirnov tests were used to determine whether the data followed a normal distribution.After removing outliers using the Box Plots method,the enrolled subjects were grouped by gender and age.The Mann-Whitney U or Kruska-Wallis H tests were used to analyze the between-group differences of urine AD7c-NTP in healthy individu-als with different genders and ages.The adjacent age groups without statistically significant difference(P＞0.05)were combined,and the indirect method(non-parametric test method)was used to calculate the reference intervals for different gender and age groups.Results Skewness-kurtosis and Kolmogorov-Smirnov tests showed that the data followed a non-normal distribution.After removing 293 outliers using the Box Plots method,a total of 4 800 subjects,including 3 199 males and 1 601 females,were enrolled.The enrolled subjects were grouped by gender and age,and the non-parametric test method were used to establish the reference intervals of urine AD7c-NTP in healthy populations with different genders.The Mann-Whitney U test confirmed that urine AD7c-NTP levels existed gen-der differences(Z=14.09,P＜0.01),and the reference intervals for males and females were≤1.10 ng/mL and≤1.40 ng/mL,re-spectively.There were also statistical differences in urine AD7c-NTP levels among different age groups of the same gender.After combi-ning adjacent age groups without statistically significant difference(P＞0.05),the reference intervals of urine AD7c-NTP in healthy populations with different genders and ages were established by the non-parametric test method,which were≤1.00 ng/mL for male 20-39 years old group,≤1.10 ng/mL for male 40-79 years old group,≤1.60 ng/mL for male≥80 years old group,≤1.30 ng/mL for female 20-69 years old group,and≤1.60 ng/mL for female≥70 years old group,respectively.The established reference intervals of urine AD7c-NTP were further verified by healthy individuals,and the results met the standards.Conclusion The reference intervals of urine AD7c-NTP in healthy populations with different genders and ages in Mianyang area are established successfully using the indi-rect method,which may help to predict the risk of Alzheimer's disease in clinical practice and provide support for the diagnosis and treatment of the disease.

This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans ; Nasal Cavity/surgery* ; Nasal Surgical Procedures ; China ; Consensus ; Sinusitis/surgery* ; Dermal Fillers

Objective: To analyze the incidence trend of colorectal cancer in Xiaoshan District, Hangzhou City from 2010 to 2024, and predict the incidence of colorectal cancer from 2025 to 2027, so as to provide the evidence for improving the prevention and control strategies of colorectal cancer. Methods: Colorectal cancer incidence data from 2010 to 2024 in Xiaoshan District were collected through the Hangzhou Municipal Chronic Disease Monitoring Management System. The crude incidence of colorectal cancer was calculated, and standardized using the data from the Sixth National Population Census in 2010 (Chinese standardized rate) and the Segi's world standard population (world standardized rate). The trend of colorectal cancer incidence from 2010 to 2024 was analyzed using the average annual percent change (AAPC). An exponential smoothing state space model with trigonometric seasonality, box-cox transformation, ARMA errors, trend and seasonal components (TBATS) was established to forecast the crude incidence of colorectal cancer from 2025 to 2027. Results: There were 10 726 new cases of colorectal cancer in Xiaoshan District from 2010 to 2024. The crude incidence, Chinese standardized rate, and world standardized rate of colorectal cancer were 59.25/100 000, 38.62/100 000 and 29.50/100 000, respectively. The crude incidence, Chinese standardized rate, and world standardized rate of colorectal cancer in males were 70.56/100 000, 44.44/100 000and 35.58/100 000, respectively, while those in females were 48.37/100 000, 32.69/100 000 and 23.70/100 000, respectively. The Chinese standardized rate of colorectal cancer was significantly higher in males than in females (P<0.05). The crude incidence of colorectal cancer in males, females and the whole population showed upward trends from 2010 to 2024 (AAPC=4.916%, 3.795% and 4.442%, all P<0.05). The crude incidence of colorectal cancer in the groups of 0-<35, 35-<50, 50-<75 and ≥75 years were 1.75/100 000, 19.86/100 000, 112.28/100 000 and 272.99/100 000, respectively, showing an increasing trend with age (P<0.05). From 2010 to 2024, the crude incidence of colorectal cancer in the ≥75 years group showed an increasing trend (AAPC=4.470%, P<0.05), while no significant trend was observed in other age groups (all P>0.05). TBATS model demonstrated good fitting (predictive) performance, indicating a year-by-year increase in the crude incidence of colorectal cancer across the whole population from 2025 to 2027, with an estimated rate reaching 70.45/100 000 in 2027. Conclusions The crude incidence of colorectal cancer in Xiaoshan District showed an increasing trend from 2010 to 2024, and it is predicted to continue to increase from 2025 to 2027. Males and the elderly are the key populations for colorectal cancer prevention and control.

AIM:To explore the correlation be-tween trimethylamine N-oxide(TMAO)and Hashi-moto's thyroiditis(HT)and to provide new ideas for early clinical diagnosis of HT.METHODS:A total of 102 patients with Hashimoto's thyroiditis(HT group)and 204 healthy individuals(control group)were included in the study and clinical data were collected.Serum TMAO levels was determined by stable isotope dilution high-performance liquid chromatography tandem mass spectrometry(HPLC-MS/MS).SPSS 26.0 was used for statistical analysis.RESULTS:Analysis of the baseline data revealed that there was a statistically significant difference between the TMAO levels and gender between the HT group and the control group(P<0.05).In the high-level TMAO group,the proportion of HT(63.7%)was significantly higher than that of the control group(18.6%),the regression analysis showed that high levels of TMAO were correlated with HT and positively correlated with the levels of thyroid peroxidase antibody(TPOAb),thyroglobulin antibody(TgAb),Logistic regression analysis further revealed that serum TMAO was a risk factor for the development of HT.CONCLUSION:In the TMAO>6.80 μmol/L group,the level of TMAO was correlat-ed with HT,and the high level of TMAO was posi-tively correlated with TPOAb and TgAb,which were risk factors for the occurrence of HT.It is suggested that TMAO can predict the risk of HT and has cer-tain clinical value.

Objective To identify novel biomarkers for predicting the risk of latent tuberculosis infection(LTBI)activation using bio-informatics and machine-learning algorithms and to establish a risk model.Methods The GSE112104 and GSE193777 datasets were obtained from the Gene Expression Omnibus.Differential gene expression and weighted gene co-expression network analyses were per-formed to identify ferroptosis-related differentially expressed genes(FRG-DEGs)associated with LTBI activation.Three machine-learning algorithms,least absolute shrinkage and selection operator,support vector machine-recursive feature elimination,and random forest,were used to identify ferroptosis-related hub genes(FRG-hubs).The reliability of these genes was validated using independent validation datasets and reverse transcription polymerase chain reaction(PCR).A risk model was established using R software.Results In the GSE 112104 dataset,296 genes were upregulated and 1 569 genes were downregulated in active tuberculosis compared to those in LTBI.Among the LTBI progressors,506 genes were upregulated and 1 132 genes were downregulated.Weighted correlation network analysis identified five gene modules,with the blue module showing the strongest correlation with LTBI activation(cor=0.62,P=0.000 04),con-taining 1 340 genes.Intersections with 728 ferroptosis-related genes resulted in eight FRG-DEGs.The machine-learning algorithms iden-tified four FRG-hubs:PLA2G6,GLS2,JUN,and AMN,whose expression decreased with LTBI activation.Reverse transcription PCR con-firmed this trend.A risk model based on these genes yielded an area under the curve of 0.98 to 1.00.Conclusion This study successfully identified novel biomarkers for predicting the risk of LTBI activation and developed an accurate predictive risk model.

AIM:To explore the correlation be-tween trimethylamine N-oxide(TMAO)and Hashi-moto's thyroiditis(HT)and to provide new ideas for early clinical diagnosis of HT.METHODS:A total of 102 patients with Hashimoto's thyroiditis(HT group)and 204 healthy individuals(control group)were included in the study and clinical data were collected.Serum TMAO levels was determined by stable isotope dilution high-performance liquid chromatography tandem mass spectrometry(HPLC-MS/MS).SPSS 26.0 was used for statistical analysis.RESULTS:Analysis of the baseline data revealed that there was a statistically significant difference between the TMAO levels and gender between the HT group and the control group(P<0.05).In the high-level TMAO group,the proportion of HT(63.7%)was significantly higher than that of the control group(18.6%),the regression analysis showed that high levels of TMAO were correlated with HT and positively correlated with the levels of thyroid peroxidase antibody(TPOAb),thyroglobulin antibody(TgAb),Logistic regression analysis further revealed that serum TMAO was a risk factor for the development of HT.CONCLUSION:In the TMAO>6.80 μmol/L group,the level of TMAO was correlat-ed with HT,and the high level of TMAO was posi-tively correlated with TPOAb and TgAb,which were risk factors for the occurrence of HT.It is suggested that TMAO can predict the risk of HT and has cer-tain clinical value.

Objective To identify novel biomarkers for predicting the risk of latent tuberculosis infection(LTBI)activation using bio-informatics and machine-learning algorithms and to establish a risk model.Methods The GSE112104 and GSE193777 datasets were obtained from the Gene Expression Omnibus.Differential gene expression and weighted gene co-expression network analyses were per-formed to identify ferroptosis-related differentially expressed genes(FRG-DEGs)associated with LTBI activation.Three machine-learning algorithms,least absolute shrinkage and selection operator,support vector machine-recursive feature elimination,and random forest,were used to identify ferroptosis-related hub genes(FRG-hubs).The reliability of these genes was validated using independent validation datasets and reverse transcription polymerase chain reaction(PCR).A risk model was established using R software.Results In the GSE 112104 dataset,296 genes were upregulated and 1 569 genes were downregulated in active tuberculosis compared to those in LTBI.Among the LTBI progressors,506 genes were upregulated and 1 132 genes were downregulated.Weighted correlation network analysis identified five gene modules,with the blue module showing the strongest correlation with LTBI activation(cor=0.62,P=0.000 04),con-taining 1 340 genes.Intersections with 728 ferroptosis-related genes resulted in eight FRG-DEGs.The machine-learning algorithms iden-tified four FRG-hubs:PLA2G6,GLS2,JUN,and AMN,whose expression decreased with LTBI activation.Reverse transcription PCR con-firmed this trend.A risk model based on these genes yielded an area under the curve of 0.98 to 1.00.Conclusion This study successfully identified novel biomarkers for predicting the risk of LTBI activation and developed an accurate predictive risk model.