Objective:To explore the independent association between handgrip strength and chronic kidney disease (CKD) in adult residents in Anhui Province using data from the China Adult Chronic Disease and Risk Factor Surveillance (2023).Methods:A multi-stage stratified cluster random sampling method was used to select residents aged ≥18 years for surveys, physical measurements, and laboratory tests. Relevant covariates were adjusted, and a multivariable logistic regression model was established to infer the association between handgrip strength and CKD, followed by subgroup analysis.Results:A total of 7 295 participants were included in the study, with age of (61.5±13.2) years, and 55.6% of the study participants were women. The results of the multivariate logistic regression analysis showed that with each 1.0 kg increase in handgrip strength, the risk for CKD decreased by 1.3% ( OR=0.987, 95% CI: 0.978-0.997). Compared with those with low handgrip strength, the people with moderate hasdgrip strength ( OR=0.818, 95% CI: 0.694-0.964) and high handgrip strength ( OR=0.729, 95% CI: 0.598-0.989) had lower risk for CKD. In the subgroup analysis, the association between handgrip strength and risk for CKD remained unchanged regardless age, sex, smoking status, and alcohol consumption statuys, and the prevalence of hypertension and hyperlipidemia (interaction P>0.05), except BMI and diabetes. Conclusion:The decline in handgrip strength is associated with an increased risk for CKD in adult residents in Anhui.

With the scientific and modernization of acupuncture,various kinds of acupuncture medical equipment continue to innovate,especially with the emergence of intelligent acupuncture diagnosis and treatment units,automatic detection of acupuncture needles in the"needle retention"stage of acupuncture clinical practice has become a hot demand.Aiming at the problems that the input image size is too large,the acupuncture needles are slender,and the acupuncture needles are densely distributed,the Acupuncture Needle Object Detection Model(ANODM),an improved YOLOv5 model for acupuncture needles,is proposed in this paper.① In the preprocessing stage,the image is divided into multiple patches for prediction,respectively.② At the model structure level,a new small object detection layer is added to the original three detection layers to improve the recognition ability of small objects.The ordinary convolution of the backbone network is replaced by the dialated convolution to increase the sensitivity field.Features of different stages are fused.③ In the post-processing stage,Soft-NMS is used to reduce the miss rate of positive samples,and cosine similarity match is used to reduce the error rate of negative samples.The experimental results show that,compared with the original YOLOv5,the detection accuracy of the improved YOLOv5 in this paper is improved by 4.2%on the acupuncture needle small object dataset,which can better complete the acupuncture needle small target detection task.

Objective:To explore the independent association between handgrip strength and chronic kidney disease (CKD) in adult residents in Anhui Province using data from the China Adult Chronic Disease and Risk Factor Surveillance (2023).Methods:A multi-stage stratified cluster random sampling method was used to select residents aged ≥18 years for surveys, physical measurements, and laboratory tests. Relevant covariates were adjusted, and a multivariable logistic regression model was established to infer the association between handgrip strength and CKD, followed by subgroup analysis.Results:A total of 7 295 participants were included in the study, with age of (61.5±13.2) years, and 55.6% of the study participants were women. The results of the multivariate logistic regression analysis showed that with each 1.0 kg increase in handgrip strength, the risk for CKD decreased by 1.3% ( OR=0.987, 95% CI: 0.978-0.997). Compared with those with low handgrip strength, the people with moderate hasdgrip strength ( OR=0.818, 95% CI: 0.694-0.964) and high handgrip strength ( OR=0.729, 95% CI: 0.598-0.989) had lower risk for CKD. In the subgroup analysis, the association between handgrip strength and risk for CKD remained unchanged regardless age, sex, smoking status, and alcohol consumption statuys, and the prevalence of hypertension and hyperlipidemia (interaction P>0.05), except BMI and diabetes. Conclusion:The decline in handgrip strength is associated with an increased risk for CKD in adult residents in Anhui.

With the scientific and modernization of acupuncture,various kinds of acupuncture medical equipment continue to innovate,especially with the emergence of intelligent acupuncture diagnosis and treatment units,automatic detection of acupuncture needles in the"needle retention"stage of acupuncture clinical practice has become a hot demand.Aiming at the problems that the input image size is too large,the acupuncture needles are slender,and the acupuncture needles are densely distributed,the Acupuncture Needle Object Detection Model(ANODM),an improved YOLOv5 model for acupuncture needles,is proposed in this paper.① In the preprocessing stage,the image is divided into multiple patches for prediction,respectively.② At the model structure level,a new small object detection layer is added to the original three detection layers to improve the recognition ability of small objects.The ordinary convolution of the backbone network is replaced by the dialated convolution to increase the sensitivity field.Features of different stages are fused.③ In the post-processing stage,Soft-NMS is used to reduce the miss rate of positive samples,and cosine similarity match is used to reduce the error rate of negative samples.The experimental results show that,compared with the original YOLOv5,the detection accuracy of the improved YOLOv5 in this paper is improved by 4.2%on the acupuncture needle small object dataset,which can better complete the acupuncture needle small target detection task.

This article reviews the current status, advantages, and limitations of the application of Internet of Things (IoT) technology in mental health services. It explores the prospects of IoT technology in this field. IoT technology has been successfully applied in smart hospitals, telemedicine, smart devices, and health management. However, there are few reports on IoT technology application in our country′s mental health services. In the field of mental health services, IoT technology can help improve the quality of life of patients with mental disorders and the effectiveness of medical services. Still, it also faces challenges brought about by patient privacy and security.

This article reviews the current status, advantages, and limitations of the application of Internet of Things (IoT) technology in mental health services. It explores the prospects of IoT technology in this field. IoT technology has been successfully applied in smart hospitals, telemedicine, smart devices, and health management. However, there are few reports on IoT technology application in our country′s mental health services. In the field of mental health services, IoT technology can help improve the quality of life of patients with mental disorders and the effectiveness of medical services. Still, it also faces challenges brought about by patient privacy and security.

ObjectiveTo investigate the deafness genetic mutation spectrum in nonsyndromic hearing impairment (NSHI) associated with enlarged vestibular aqueducts (EVA). MethodsFrom October, 2015 to August, 2016, 85 patients with NSHI from Hubei Yichang Special Education School were examined with temporal bone CT, and 20 deafness-related gene mutations in GJB2, GJB3, SLC26A4 and mtDNA 12S rRNA were detected with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. ResultsA total of 31 patients were found EVA with temporal bone CT. Compared with non-EVA patients, the proportion of deafness-related gene mutations was more in patients with EVA (χ² = 11.160, P = 0.001), especially for c.919-2A>G mutation of SLC26A4 (χ² = 23.870, P < 0.001). ConclusionThe deafness gene mutation spectrum is different in NSHI patients with or without EVA. It is needed to optimize genetic testing scheme for deafness for early diagnosis and intervention of NSHI associated with EVA.

Objective:To investigate the prevalence of metabolic syndrome(MS) among adult residents with different characteristics and the relationship between serum uric acid(SUA) level and MS using the data of Chinese Adult Chronic Diseases and Nutrition Surveillance(2018) program in Anhui.Methods:Multi-stage stratified cluster random sampling was used to select participants aged 18 and over for questionnaires, physical measurements, and laboratory tests. The complex weighted method was used to estimate the prevalence of MS among residents with different characteristics. Logistic regression model based on complex sampling data was used to analyze the relationship between SUA and MS. Receiver operating characteristic(ROC) curve was used to evaluate the reliability of SUA in diagnosing MS and determine the optimal cutoff point.Results:A total of 7 182 participants were included and the prevalence of MS among adult residents was 29.46%. The prevalence of MS was higher in females(33.76%) than that in males(25.28%), and the difference was statistically significant( P<0.05). After adjusting for other factors, for every 10 μmol/L increase in SUA, the risk of MS increased by 4% in males( OR=1.040, 95% CI 1.019-1.061) and 7% in females( OR=1.070, 95% CI 1.059-1.082). The area under the curve(AUC) for SUA in diagnosing MS was 0.816(95% CI 0.806-0.826), with a sensitivity of 0.761 and specificity of 0.727. The optimal cutoff point for SUA was 450 μmol/L. Conclusion:The prevalence of MS among adult residents in Anhui Province is 29.46%. SUA is a risk factor for MS, and increasing SUA level indicated a higher risk of MS. The optimal cutoff value of SUA may be helpful in diagnosing MS.

Objective:To explore the molecular pathogenesis of a family with hereditary factor Ⅴ (FⅤ) deficiency.Methods:All the exons, flanking sequences, 5′ and 3′ untranslated regions of the F5 of the proband, and the corresponding mutation sites of the family members were analyzed via direct DNA sequencing. The CAT measurement was used to detect the amount of thrombin produced. The ClustalX software was used to analyze the conservation of mutation sites. The online bioinformatics software, Mutation Taster, PolyPhen-2, PROVEAN, LRT, and SIFT were applied to predict the effects of mutation sites on protein function. The Swiss-PdbViewer software was used to analyze the changes in the protein model and intermolecular force before and after amino acid variation.Results:The proband had a heterozygous missense mutation c.1258G>T (p.Gly392Cys) in exon 8 of the F5, and a heterozygous deletion mutation c.4797delG (p.Glu1572Lys fsX19) in exon 14, which results in a frameshift and produces a truncated protein. Her grandfather and father had p.Gly392Cys heterozygous variation, whereas her maternal grandmother, mother, little aunt, and cousin all had p.Glu1572LysfsX19 heterozygous variation. The ratio of proband's thrombin generation delay to peak time was significantly increased. Conservation analysis results showed that p.Gly392 was located in a conserved region among the 10 homologous species. Five online bioinformatics software predicted that p.Gly392Cys was pathogenic, and Mutation Taster also predicted p.Glu1572Lys fsX19 as a pathogenic variant. Protein model analysis showed that the replacement of Gly392 by Cys392 can lead to the extension of the original hydrogen bond and the formation of a new steric hindrance, which affected the stability of the protein structure.Conclusion:The c.1258G>T heterozygous missense mutation in exon 8 and the c.4797delG heterozygous deletion mutation in exon 14 of the F5 may be responsible for the decrease of FⅤ levels in this family.

Objective To evaluate a score system(Association of Coloproctology of Great Britain and Ireland ACPGBI)in prediction of postoperative mortality from colorectal cancer patients in a Chinese hospital. Methods We analyzed retrospectively 904 patients with histologically confirmed colorectal cancer who had colorectal surgery from 1992 to 2005.There were 525 colonic cancer patients and 379 rectal cancer patients.We divided patients into several groups according to operative urgency(elective or emergency);surgeons(colorectal specialists or other surgeons);cancer location(colon or rectal).According to ACPGBI score we got the prediction.This prediction was compared with the actual mortality;Chi-square test,receiver operator characteristic curve(ROC),Hosmer-Lemeshow goodness-of-fit test were used.Results Observed overall mortality within 30 days after surgery was 1.0%(9/904),and the predicted mortality was 8.3%(75/904).In all the subgroups the predicted momdity wag higher than observed mortality.We found that the actual mortality was higher in an individual subgroup in which the predicted mortality was higher. Conclusions For colorectal cancer patients undergoing a surgery the predicted mortality of ACPGBI score system was higher than the actual mortality in a Chinese hospital.