Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

BACKGROUND: The available evidence regarding the benefits of percutaneous coronary intervention (PCI) on patients receiving dialysis with coronary artery disease (CAD) is limited and inconsistent. This study aimed to evaluate the association between PCI and clinical outcomes as compared with medical therapy alone in patients undergoing dialysis with CAD in China. METHODS: This multicenter, retrospective study was conducted in 30 tertiary medical centers across 12 provinces in China from January 2015 to June 2021 to include patients on dialysis with CAD. The primary outcome was major adverse cardiovascular events (MACE), defined as a composite of cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke. Secondary outcomes included all-cause death, the individual components of MACE, and Bleeding Academic Research Consortium criteria types 2, 3, or 5 bleeding. Multivariable Cox proportional hazard models were used to assess the association between PCI and outcomes. Inverse probability of treatment weighting (IPTW) and propensity score matching (PSM) were performed to account for potential between-group differences. RESULTS: Of the 1146 patients on dialysis with significant CAD, 821 (71.6%) underwent PCI. After a median follow-up of 23.0 months, PCI was associated with a 43.0% significantly lower risk for MACE (33.9% [ n  = 278] vs . 43.7% [ n  = 142]; adjusted hazards ratio 0.57, 95% confidence interval 0.45-0.71), along with a slightly increased risk for bleeding outcomes that did not reach statistical significance (11.1% vs . 8.3%; adjusted hazards ratio 1.31, 95% confidence interval, 0.82-2.11). Furthermore, PCI was associated with a significant reduction in all-cause and cardiovascular mortalities. Subgroup analysis did not modify the association of PCI with patient outcomes. These primary findings were consistent across IPTW, PSM, and competing risk analyses. CONCLUSION This study indicated that PCI in patients on dialysis with CAD was significantly associated with lower MACE and mortality when comparing with those with medical therapy alone, albeit with a slightly increased risk for bleeding events that did not reach statistical significance.
Humans ; Percutaneous Coronary Intervention/methods* ; Male ; Female ; Coronary Artery Disease/drug therapy* ; Retrospective Studies ; Renal Dialysis/methods* ; Middle Aged ; Aged ; China ; Proportional Hazards Models ; Treatment Outcome

OBJECTIVES: To study the clinical and genetic characteristics of children with congenital adrenal hyperplasia (CAH). METHODS: Clinical data, laboratory findings, and genetic test results of 63 children diagnosed with CAH at Henan Children's Hospital from January 2017 to December 2024 were retrospectively reviewed. RESULTS: Of the 63 patients, the mean age at the first visit was (21 ± 14) days; 29 (46%) were of male sex and 34 (54%) were of female sex. The predominant clinical manifestations were poor weight gain or weight loss (92%, 58/63), poor feeding (84%, 53/63), skin hyperpigmentation (83%, 52/63), and female external genital anomalies (100%, 34/34). Laboratory abnormalities included hyponatremia (87%, 55/63), hyperkalemia (68%, 43/63), metabolic acidosis (68%, 43/63), and markedly elevated 17-hydroxyprogesterone (92%, 58/63), testosterone (89%, 56/63), and adrenocorticotropic hormone (81%, 51/63). Among 49 patients who underwent genetic testing, CYP21A2 variants were identified in 90% (44/49), with c.293-13A/C>G (33%, 30/91) and large deletions/gene conversions (29%, 26/91) being the most frequent; STAR (8%, 4/49) and HSD3B2 (2%, 1/49) variants were also detected. Following hormone replacement therapy, electrolyte disturbances were corrected in 57 cases, with significant reductions in 17-hydroxyprogesterone, adrenocorticotropic hormone, and testosterone levels (P<0.001). CONCLUSIONS CAH presenting in neonates or young infants is characterized by electrolyte imbalance, external genital anomalies, and abnormal hormone levels. Genetic testing enables definitive subtype classification; in CYP21A2-related CAH, c.293-13A/C>G is a hotspot variant. These findings underscore the clinical value of genetic testing for early diagnosis and genetic counseling in CAH. Citation:Chinese Journal of Contemporary Pediatrics, 2025, 27(11): 1367-1372.
Humans ; Adrenal Hyperplasia, Congenital/diagnosis* ; Male ; Female ; Retrospective Studies ; Infant ; Infant, Newborn

ObjectiveTo investigate the main risk factors for liver cirrhosis in chronic hepatitis B （CHB） patients with high metabolic risk， to establish a noninvasive predictive model， and to compare the diagnostic efficiency of this model and other models including fibrosis-4 （FIB-4）， aspartate aminotransferase-to-platelet ratio index （APRI）， gamma-glutamyl transpeptidase-to-platelet ratio （GPR）， and Forns index. MethodsA total of 527 CHB patients with high metabolic risks who were admitted to The Second Affiliated Hospital of Guangxi Medical University from September 1， 2017 to October 31， 2022 were enrolled as subjects， and they were randomly divided into modeling group with 368 patients and validation group with 159 patients at a ratio of 7∶3. The LASSO regression analysis and the multivariate Logistic regression analysis were performed for the modeling group to identify independent risk factors， and a nomogram model was established. The receiver operating characteristic （ROC） curve， the calibration curve， and the decision curve analysis were used to validate the nomogram prediction model in the modeling group and the validation group and assess its discriminatory ability， calibration， and clinical practicability. The Delong test was used to compare the area under the ROC curve （AUC） of the nomogram prediction model and other models. ResultsThe multivariate Logistic regression analysis showed that prealbumin （odds ratio ［OR］ = 0.993， 95% confidence interval ［CI］： 0.988 — 0.999， P= 0.019）， thrombin time （OR=1.182， 95% CI： 1.006 — 1.385， P=0.047）， log₁₀ total bilirubin （TBil） （OR=1.710， 95%CI： 1.239 — 2.419， P=0.001）， and log₁₀ alpha-fetoprotein （AFP） （OR=1.327， 95%CI： 1.052 — 1.683， P=0.018） were independent influencing factors for liver cirrhosis in CHB patients with high metabolic risks. A nomogram model for risk prediction was established based on the multivariate analysis， which had an AUC of 0.837 （95%CI： 0.788 — 0.888）， a specificity of 73.5%， and a sensitivity of 84.7%， as well as a significantly higher diagnostic efficiency than the models of FIB-4 （0.739）， APRI （0.802）， GPR （0.800）， and Forns index （0.709） （Z=2.815， 2.271， 1.989， and 2.722， P=0.005， 0.017， 0.045， and 0.006）. ConclusionThe nomogram model established based on prealbumin， thrombin time， log₁₀ TBil， and log₁₀ AFP has a certain clinical application value.

Rheumatoid arthritis(RA)is characterized by bidi-rectional bone remodeling imbalance,clinically termed the "high resorption-low formation" paradox,stemming not only from osteoclast hyperactivation but also critically involving pro-found suppression of osteoblast differentiation and function.No-tably,this suppression cannot be fully attributed to osteoclast hyperactivity;synovium-resident immune cells exert a pivotal regulatory influence through distinct mechanisms.This review systematically examines how synovial immune cells orchestrate bone remodeling in RA through both paracrine cytokine networks and direct cell-cell communication with bone lineage cells,thereby perturbing physiological homeostasis and driving patho-logical progression.These mechanistic revelations yield innova-tive perspectives on RA pathogenesis,positioning immune-medi-ated osteoimmune dysregulation as a promising therapeutic fron-tier for targeted intervention.

OBJECTIVE: To investigate the clinical characteristics and prognostic of venetoclax (VEN) combined targeted therapy in acute leukemia (AL) patients with PICALM∷MLLT10 fusion gene positivity. METHODS: A retrospective analysis was conducted on 16 PICALM∷MLLT10-positive AL patients treated at the First Affiliated Hospital of Soochow University from January 2021 to August 2024. These patients were diagnosed by targeted RNA sequencing (RNA-seq) or reverse transcription multiplex PCR, including newly diagnosed and relapsed/refractory (R/R) cases. The immunophenotypes, genetic features, gene mutations, and the efficacy of VEN combination targeted therapy of patients were evaluated. RESULTS: Among the 16 cases, 3 were confirmed by reverse transcription multiplex PCR, and 13 were detected through targeted RNA-seq among 528 AL patients, with a detection rate of 2.46%. The averge age of patients was (28.0±8.58) years. Patients exhibited diverse immunophenotypes, including 7 cases of acute myeloid leukemia, 5 of acute T-lymphoblastic leukemia, 1 of acute B-lymphoblastic leukemia, 1 of acute undifferentiated leukemia, and 2 of mixed-phenotype acute leukemia. Among them, 11 had extramedullary disease (EMD), 14 expressed CD7, and 12 expressed CD33. Major co-occurring mutations included PHF6 (6 cases), NOTCH1 (5 cases), and 7 cases with complex karyotypes. Of the 12 patients who received standard induction therapy, 7 did not achieve remission (PR+NR). All 4 patients treated with VEN combination therapy achieved complete remission (CR). Among the 7 induction failure cases, 4 achieved CR upon re-induction with VEN, while the remaining 3 re-induced with standard therapy, did not achieve CR. Thirteen patients received allogeneic hematopoietic stem cell transplantation, including 6 who received maintenance therapy with hypomethylating agents (HMA) alone or in combination with VEN, and seven were followed up. Survival analysis showed that the overall survival was better in the maintenance therapy group (P =0.044). CONCLUSION PICALM∷MLLT10-positive AL involves multiple lineages and demonstrates poor response to conventional chemotherapy. VEN combination therapy shows promising efficacy in both newly diagnosed and R/R patients. Post-transplant maintenance therapy with HMA alone or combined with VEN may extend survival; however, further clinical validation is required.
Humans ; Sulfonamides/therapeutic use* ; Retrospective Studies ; Prognosis ; Bridged Bicyclo Compounds, Heterocyclic/therapeutic use* ; Adult ; Male ; Female ; Leukemia, Myeloid, Acute/genetics* ; Mutation ; Oncogene Proteins, Fusion/genetics* ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/drug therapy*

Background and Aims:Whether to close mesenteric fissures during laparoscopic radical resection of colorectal cancer remains controversial.Traditional suture closure is technically demanding and may injure mesenteric vessels.This study aimed to evaluate the safety and efficacy of using α-cyanoacrylate medical glue to close mesenteric fissures during laparoscopic colorectal cancer surgery.Methods:A retrospective analysis was conducted on patients who underwent laparoscopic radical resection of colorectal cancer in the Department of Colorectal Surgery,the Sixth Affiliated Hospital of Sun Yat-sen University,from January 2022 to December 2023.Seventy-eight patients who received intraoperative α-cyanoacrylate glue closure of mesenteric fissures were included as the observation group,and 74 patients without fissure closure were selected as the control group using the propensity score matching method.Perioperative parameters,postoperative recovery,and complications were compared between the two groups.Results:No significant differences were observed in baseline characteristics or main intraoperative variables between groups(all P>0.05).The observation group had significantly less ascitic drainage within 3 days after operation[(203.14±116.44)mL vs.(384.53±243.89)mL,P<0.01]and shorter postoperative gas passage,defecation,and drainage tube removal times(all P<0.01).The incidence of postoperative complications and intestinal obstruction was comparable between groups(all P>0.05).Multivariate analysis showed that intraoperative application of α-cyanoacrylate glue was an independent promoting factor for intestinal exhaust within 3 days after surgery(OR=5.739,P=0.000).Conclusion:The use of α-cyanoacrylate medical glue for closing mesenteric fissures during laparoscopic radical resection of colorectal cancer is safe and feasible.It effectively reduces postoperative ascitic drainage and accelerates bowel recovery,offering a simple and reliable alternative to traditional suture closure.

Background and Aims:Whether to close mesenteric fissures during laparoscopic radical resection of colorectal cancer remains controversial.Traditional suture closure is technically demanding and may injure mesenteric vessels.This study aimed to evaluate the safety and efficacy of using α-cyanoacrylate medical glue to close mesenteric fissures during laparoscopic colorectal cancer surgery.Methods:A retrospective analysis was conducted on patients who underwent laparoscopic radical resection of colorectal cancer in the Department of Colorectal Surgery,the Sixth Affiliated Hospital of Sun Yat-sen University,from January 2022 to December 2023.Seventy-eight patients who received intraoperative α-cyanoacrylate glue closure of mesenteric fissures were included as the observation group,and 74 patients without fissure closure were selected as the control group using the propensity score matching method.Perioperative parameters,postoperative recovery,and complications were compared between the two groups.Results:No significant differences were observed in baseline characteristics or main intraoperative variables between groups(all P>0.05).The observation group had significantly less ascitic drainage within 3 days after operation[(203.14±116.44)mL vs.(384.53±243.89)mL,P<0.01]and shorter postoperative gas passage,defecation,and drainage tube removal times(all P<0.01).The incidence of postoperative complications and intestinal obstruction was comparable between groups(all P>0.05).Multivariate analysis showed that intraoperative application of α-cyanoacrylate glue was an independent promoting factor for intestinal exhaust within 3 days after surgery(OR=5.739,P=0.000).Conclusion:The use of α-cyanoacrylate medical glue for closing mesenteric fissures during laparoscopic radical resection of colorectal cancer is safe and feasible.It effectively reduces postoperative ascitic drainage and accelerates bowel recovery,offering a simple and reliable alternative to traditional suture closure.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.