Objective To evaluate the effectiveness of different tip positions applied to midline catheters(MC)and provide evidence-based evidence for venous catheter tip positioning in clinical practice.Methods Computerized searches of PubMed,Web of Science,Embase,Cochrane Library,CINAHL,CNKI,Wanfang Database,VIP,and CBM for studies on the effectiveness of applying MC with different tip positions were performed from the time of database construction to July 2024.Meta-analysis was performed using Rev Man 5.3 software after 2 investigators independently screened the studies,extracted the information and evaluated the quality of the included studies.Results A total of 9 studies with 2 302 hospitalized patients were included.The quality evaluation results of the included studies are all B-level.Meta-analysis showed that when the tip of the MC was located in the subclavian vein compared with the tip of the MC in the axillary vein,the rate of total catheter-related complications,phlebitis,blood leakage,infiltration,catheter occlusion,catheter dislocation,and catheter-associated thrombosis were lower,with a statistically significant difference(P＜0.05).When the tip of the MC was located in the subclavian vein compared with the tip of the MC in the axillary vein,the catheter retention time was longer,with a statistically significant difference(P=0.007).The descriptive analysis showed a lower rate of extubation due to complications when the tip of the MC was located in the subclavian vein compared with when the tip was located in the axillary vein(P＜0.05).Conclusion When the tip of the MC is located in the subclavian vein compared to when it is located in the axillary vein,the incidence of total catheter-related complications,phlebitis,blood leakage,infiltration,catheter occlusion,catheter dislocation,catheter-associated thrombosis,and the rate of catheter extractions due to complications were lower,and the catheter was left in place for a longer period of time.Due to the limitations of the quantity and quality of the included studies,more large-sample,high-quality studies are needed to further validate the effectiveness of different tip positions of MC.

Objective:To construct and validate a depression risk prediction model for middle-aged and elderly patients with diabetes.Methods:Data were extracted from the fifth wave (2020) of the China Health and Retirement Longitudinal Study (CHARLS). A total of 900 diabetic patients were identified, and after excluding those with missing data or invalid questionnaires, 769 patients were included in the analysis. Patients were randomly divided into a training set and a validation set in a 7∶3 ratio. Univariate analysis and logistic regression analysis were performed to screen the optimal predictors of depression in diabetic patients, and a nomogram model was developed. The predictive performance of the model was assessed by the area under the receiver operating characteristic curve ( AUC). Model calibration and accuracy were evaluated using bootstrap resampling, calibration plots, and the Hosmer-Lemeshow test. The clinical utility was further assessed by decision curve analysis (DCA) and clinical impact curves (CIC) . Results:Among the 769 patients, 366 (47.59%) had depression. Logistic regression analysis showed that place of residence, pain, difficulty in toileting, difficulty in bathing, sleep duration, physical exercise, life satisfaction, and children's satisfaction were independent predictors of depression in diabetic patients. A nomogram was constructed based on these variables, yielding an AUC of 0.775. At the optimal cutoff value of 0.557, the model demonstrated a sensitivity of 59.1% and a specificity of 84.8%, indicating good discriminative ability. The Hosmer-Lemeshow test showed (χ 2=15.821, P=0.105), suggesting good agreement between predicted and observed outcomes. In the validation set, the AUC was 0.778, with Hosmer-Lemeshow (χ 2=8.557, P=0.575). DCA and CIC indicated favorable clinical applicability of the model. Conclusions:The depression risk prediction model constructed in this study demonstrated good predictive performance. It can assist clinicians in early identification of high-risk individuals with diabetes and provide a theoretical basis for targeted interventions.

Thyrotoxic periodic paralysis(TPP) is a rare but potentially life-threatening complication of thyrotoxicosis. TPP secondary to thyrotoxicosis factitia(TF) is exceptionally uncommon. Here, we report the case of a 31-year-old female who developed TF and subsequent TPP after taking laxatives containing unknown ingredients. The patient presented with acute onset of quadriplegia. Laboratory investigations revealed severe hypokalemia(serum potassium 1.47mmol/L), thyrotoxicosis[thyroid stimulating hormone(TSH)<0.005 mIU/L, free thyroxine(FT 4) 30.84 pmol/L, free triiodothyronine(FT 3) 7.71 pmol/L], and a decreased thyroglobulin level(3.08 ng/mL). The patient′s symptoms resolved rapidly following potassium supplementation, and thyroid function gradually normalized after discontinuation of the suspected medication. This case highlights the importance of considering TF in the differential diagnosis of TPP, particularly in patients with a history of unknown medication use. It also underscores the diagnostic value of thyroglobulin measurement in identifying TF and outlines clinical strategies for the management of TF-induced TPP.

Objective To evaluate the relationship between systemic inflammation makers and bone mineral density(BMD)in male patients with type 2 diabetes(T2DM).Methods A total of 261 male patients with T2DM were selected and divided into three groups based on diagnostic criteria:the normal bone mass group(96 cases),the reduced bone mass group(111 cases)and the osteoporosis group(54 cases).Differences in systemic inflammation markers and bone metabolic markers were compared between the three groups.Multivariate ordered Logistic regression analysis was used to investigate factors influencing the progression from normal bone mass to osteoporosis in male patients with T2DM.Receiver operating characteristic(ROC)curves were used to evaluate the predictive value of inflammatory markers for osteoporosis in male patients with T2DM.Correlation analysis was conducted to investigate the correlation between inflammatory markers and BMD and bone turnover markers(BTM)in male patients with T2DM.Results Platelet count(PLT),platelet-to-lymphocyte ratio(PLR),systemic inflammatory index(SII)and neutrophil-to-lymphocyte ratio(NLR)were significantly higher in the osteoporosis group than those in the normal bone mass group(P＜0.05).Multivariate ordered Logistic regression analysis showed that PLR and SII were risk factors for the progression from normal bone mass to osteoporosis in male patients with T2DM(P＜0.05).The area under the ROC curve of PLR was 0.590,and the cut-off value was 96.67.The area under the curve of SII was 0.613,with a cut-off value of 307.9,and the area under the combined curve of the above two indicators was 0.612.In patients with osteoporosis and osteopenia,SII,PLR and PLT were negatively correlated with L1-4 BMD and left hip BMD(P＜0.05).SII was also negatively correlated with left femoral neck BMD(P＜0.05).Conclusion Inflammatory markers PLR and SII have predictive values for the progression from normal bone mass to bone loss and osteoporosis in male patients with T2DM.

Nanophthalmos (NNO) is a hereditary, congenital, ocular developmental disorder characterized by shortening of the entire eyeball.It has a low incidence worldwide and is considered a rare disease.Genetic modes of nanophthalmos include autosomal dominant and recessive inheritance, and sporadic cases have also been reported.Currently, at least six genes, including PRSS56, MFRP, TMEM98, MYRF, CRB1 and BEST1, have been reported to be associated with the onset of this disease.Common pathological phenotypes include short axial length, high hyperopia, and a high tendency to be complicated by angle-closure glaucoma and uveal effusion syndrome, etc.Different NNO genotypes show significant differences in clinical phenotypes.Studies on the correlation between NNO genotypes and phenotypes have provided an important basis for early clinical intervention.However, due to the limitated sample size of rare diseases, existing studies mainly focus on exploring the variant sites of different genotypes and the clinical phenotypes of patients.It is difficult to form a discussion on the overall correlation between the phenotypes and genotypes of NNO.This article collects and sorts out the research reports on NNO from 2010 to 2024, aiming to review the research progress on the correlation between genotypes and phenotypes of NNO from aspects such as gene mutation types and regional populations, in order to improve the understanding of NNO and provide more ideas and theoretical basis for studying its occurrence and development as well as gene therapy.

Objective:To construct and validate a depression risk prediction model for middle-aged and elderly patients with diabetes.Methods:Data were extracted from the fifth wave (2020) of the China Health and Retirement Longitudinal Study (CHARLS). A total of 900 diabetic patients were identified, and after excluding those with missing data or invalid questionnaires, 769 patients were included in the analysis. Patients were randomly divided into a training set and a validation set in a 7∶3 ratio. Univariate analysis and logistic regression analysis were performed to screen the optimal predictors of depression in diabetic patients, and a nomogram model was developed. The predictive performance of the model was assessed by the area under the receiver operating characteristic curve ( AUC). Model calibration and accuracy were evaluated using bootstrap resampling, calibration plots, and the Hosmer-Lemeshow test. The clinical utility was further assessed by decision curve analysis (DCA) and clinical impact curves (CIC) . Results:Among the 769 patients, 366 (47.59%) had depression. Logistic regression analysis showed that place of residence, pain, difficulty in toileting, difficulty in bathing, sleep duration, physical exercise, life satisfaction, and children's satisfaction were independent predictors of depression in diabetic patients. A nomogram was constructed based on these variables, yielding an AUC of 0.775. At the optimal cutoff value of 0.557, the model demonstrated a sensitivity of 59.1% and a specificity of 84.8%, indicating good discriminative ability. The Hosmer-Lemeshow test showed (χ 2=15.821, P=0.105), suggesting good agreement between predicted and observed outcomes. In the validation set, the AUC was 0.778, with Hosmer-Lemeshow (χ 2=8.557, P=0.575). DCA and CIC indicated favorable clinical applicability of the model. Conclusions:The depression risk prediction model constructed in this study demonstrated good predictive performance. It can assist clinicians in early identification of high-risk individuals with diabetes and provide a theoretical basis for targeted interventions.

Nanophthalmos (NNO) is a hereditary, congenital, ocular developmental disorder characterized by shortening of the entire eyeball.It has a low incidence worldwide and is considered a rare disease.Genetic modes of nanophthalmos include autosomal dominant and recessive inheritance, and sporadic cases have also been reported.Currently, at least six genes, including PRSS56, MFRP, TMEM98, MYRF, CRB1 and BEST1, have been reported to be associated with the onset of this disease.Common pathological phenotypes include short axial length, high hyperopia, and a high tendency to be complicated by angle-closure glaucoma and uveal effusion syndrome, etc.Different NNO genotypes show significant differences in clinical phenotypes.Studies on the correlation between NNO genotypes and phenotypes have provided an important basis for early clinical intervention.However, due to the limitated sample size of rare diseases, existing studies mainly focus on exploring the variant sites of different genotypes and the clinical phenotypes of patients.It is difficult to form a discussion on the overall correlation between the phenotypes and genotypes of NNO.This article collects and sorts out the research reports on NNO from 2010 to 2024, aiming to review the research progress on the correlation between genotypes and phenotypes of NNO from aspects such as gene mutation types and regional populations, in order to improve the understanding of NNO and provide more ideas and theoretical basis for studying its occurrence and development as well as gene therapy.

Thyrotoxic periodic paralysis(TPP) is a rare but potentially life-threatening complication of thyrotoxicosis. TPP secondary to thyrotoxicosis factitia(TF) is exceptionally uncommon. Here, we report the case of a 31-year-old female who developed TF and subsequent TPP after taking laxatives containing unknown ingredients. The patient presented with acute onset of quadriplegia. Laboratory investigations revealed severe hypokalemia(serum potassium 1.47mmol/L), thyrotoxicosis[thyroid stimulating hormone(TSH)<0.005 mIU/L, free thyroxine(FT 4) 30.84 pmol/L, free triiodothyronine(FT 3) 7.71 pmol/L], and a decreased thyroglobulin level(3.08 ng/mL). The patient′s symptoms resolved rapidly following potassium supplementation, and thyroid function gradually normalized after discontinuation of the suspected medication. This case highlights the importance of considering TF in the differential diagnosis of TPP, particularly in patients with a history of unknown medication use. It also underscores the diagnostic value of thyroglobulin measurement in identifying TF and outlines clinical strategies for the management of TF-induced TPP.

Amide bond is formed by dehydration and condensation of amino and carboxyl groups in a molecule, which is used in structural design of drugs. The stability of the amide bond is affected by many factors, which make the pharmacokinetic behaviors of amide drugs complicated by metabolic heterogeneity. This review proposes that the expression and activity of hydrolase may be one of the important reasons for the obvious differences in the pharmacokinetics of amides among species, summarizes the common metabolic enzymes or proteins responsible for hydrolyzing amides so as to provide some reference for the structural design and further clinical study of amide drugs, and suggests that improper selection of in vitro evaluation systems may be an important cause for the inconsistency between between in vitro and in vivo pharmacokinetic characteristics of drugs, with a summary of the currently used in vitro drug metabolism systems for drug evaluation, aiming to provide a basis for preclinical evaluation of drugs.

ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.