This study was aimed at investigating infections with Giardia and Cryptosporidium in Ochotona curzoniae in Zoige County,Sichuan Province.O.curzoniae were captured in five townships of Zoige County(Dazhasi,Axi,Hongxing,Tangke,and Maixi)between March and December of 2023.DNA from the gastrointestinal contents was subjected to nested PCR to amplify Giardia bg,gdh,and tpi genes,and the Cryptosporidium SSU rRNA gene.The sequences of PCR-PCR products were analyzed and compared.Phylogenetic trees were constructed to determine the protozoa species and genotypes.A total of 114 O.curzoniae animals were captured,among which 44 samples showed bg gene positivity,and 14 samples showed gdh gene positivity for Giardia.The total detection rate was 43.9％(50/114),and two assemblages were detected(assem-blage E and a new assemblage tentatively termed assemblage OC1);the positivity rate for Cryptosporidium was 7.0％(8/114),and three new genotypes were observed.Mixed infection with Cryptosporidium and Giardia was present in some sam-ples,with a detection rate of 3.5％(4/114).Giardia lamblia and Giardia sp.(REG-1,REG-2)were prevalent in O.curzoni-ae in Zoige County in Sichuan province;assemblage E was the dominant assemblage,and the new assemblage OC1 was pres-ent;and Cryptosporidium sp.(REG-1,REG-2,and REG-3)were identified.In summary,future monitoring of Giardia and Cryptosporidium should be further strengthened in Zoige to provide detailed data for promoting local public health.

Objective To develop dynamic prediction models based on multiple postnatal time points to support early diagnosis and individualized intervention for bronchopulmonary dysplasia(BPD)in preterm infants with gestational age<32 weeks.Methods Clinical data of 472 preterm infants with gestational age<32 weeks admitted to the Second Xiangya Hospital of Central South University between January 2016 and November 2020 were retrospectively analyzed.Multivariable logistic regression was applied to develop five independent prediction models at postnatal days 1,7,14,21,and 28.The performance of the models was assessed using the area under the receiver operating characteristic curve(AUC)and the Hosmer-Lemeshow test.Results Baseline characteristics such as gestational age and birth weight differed significantly between the BPD group(n=147)and the non-BPD group(n=325)(P<0.05).Predictors of BPD evolved across time points:on day 1,key predictors included gestational age,birth weight,Score for Neonatal Acute Physiology II(SNAP-II),invasive mechanical ventilation,and fraction of inspired oxygen>30%;by day 7,additional variables emerged,including fasting duration>2 days,mean feeding advancement rate<8.5 mL/(kg·d),neonatal respiratory distress syndrome,apnea of prematurity,and positive sputum culture;from day 14 onward,nutrition-and treatment-related indicators were incorporated additionally.The models demonstrated good discrimination at postnatal days 1,7,14,21,and 28,with AUCs of 0.917,0.927,0.939,0.944,and 0.968,respectively,and good calibration(Hosmer-Lemeshow P>0.05).Internal validation showed AUCs ranging from 0.899 to 0.958,indicating robust performance.Conclusions Dynamic postnatal prediction models incorporating indicators spanning perinatal factors,respiratory support,nutritional management,and therapeutic interventions demonstrate high predictive performance and facilitate dynamic risk assessment for BPD in preterm infants with gestational age<32 weeks.

Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. This review emphasizes the clinical application of AI in PCa by discussing recent advancements from both pathological and imaging perspectives. Furthermore, it explores the current challenges faced by AI in clinical applications while also considering future developments, aiming to provide a valuable point of reference for the integration of AI and clinical applications.
Humans ; Prostatic Neoplasms/diagnosis* ; Male ; Artificial Intelligence ; Deep Learning ; Prognosis

Objective To develop dynamic prediction models based on multiple postnatal time points to support early diagnosis and individualized intervention for bronchopulmonary dysplasia(BPD)in preterm infants with gestational age<32 weeks.Methods Clinical data of 472 preterm infants with gestational age<32 weeks admitted to the Second Xiangya Hospital of Central South University between January 2016 and November 2020 were retrospectively analyzed.Multivariable logistic regression was applied to develop five independent prediction models at postnatal days 1,7,14,21,and 28.The performance of the models was assessed using the area under the receiver operating characteristic curve(AUC)and the Hosmer-Lemeshow test.Results Baseline characteristics such as gestational age and birth weight differed significantly between the BPD group(n=147)and the non-BPD group(n=325)(P<0.05).Predictors of BPD evolved across time points:on day 1,key predictors included gestational age,birth weight,Score for Neonatal Acute Physiology II(SNAP-II),invasive mechanical ventilation,and fraction of inspired oxygen>30%;by day 7,additional variables emerged,including fasting duration>2 days,mean feeding advancement rate<8.5 mL/(kg·d),neonatal respiratory distress syndrome,apnea of prematurity,and positive sputum culture;from day 14 onward,nutrition-and treatment-related indicators were incorporated additionally.The models demonstrated good discrimination at postnatal days 1,7,14,21,and 28,with AUCs of 0.917,0.927,0.939,0.944,and 0.968,respectively,and good calibration(Hosmer-Lemeshow P>0.05).Internal validation showed AUCs ranging from 0.899 to 0.958,indicating robust performance.Conclusions Dynamic postnatal prediction models incorporating indicators spanning perinatal factors,respiratory support,nutritional management,and therapeutic interventions demonstrate high predictive performance and facilitate dynamic risk assessment for BPD in preterm infants with gestational age<32 weeks.

This study was aimed at investigating infections with Giardia and Cryptosporidium in Ochotona curzoniae in Zoige County,Sichuan Province.O.curzoniae were captured in five townships of Zoige County(Dazhasi,Axi,Hongxing,Tangke,and Maixi)between March and December of 2023.DNA from the gastrointestinal contents was subjected to nested PCR to amplify Giardia bg,gdh,and tpi genes,and the Cryptosporidium SSU rRNA gene.The sequences of PCR-PCR products were analyzed and compared.Phylogenetic trees were constructed to determine the protozoa species and genotypes.A total of 114 O.curzoniae animals were captured,among which 44 samples showed bg gene positivity,and 14 samples showed gdh gene positivity for Giardia.The total detection rate was 43.9％(50/114),and two assemblages were detected(assem-blage E and a new assemblage tentatively termed assemblage OC1);the positivity rate for Cryptosporidium was 7.0％(8/114),and three new genotypes were observed.Mixed infection with Cryptosporidium and Giardia was present in some sam-ples,with a detection rate of 3.5％(4/114).Giardia lamblia and Giardia sp.(REG-1,REG-2)were prevalent in O.curzoni-ae in Zoige County in Sichuan province;assemblage E was the dominant assemblage,and the new assemblage OC1 was pres-ent;and Cryptosporidium sp.(REG-1,REG-2,and REG-3)were identified.In summary,future monitoring of Giardia and Cryptosporidium should be further strengthened in Zoige to provide detailed data for promoting local public health.

Objectives: This study aimed to present the Asia-Pacific consensus on long-term and sequential therapy for osteoporosis, offering evidence-based recommendations for the effective management of this chronic condition.The primary focus is on achieving optimal fracture prevention through a comprehensive, individualized approach. Methods: A panel of experts convened to develop consensus statements by synthesizing the current literature and leveraging clinical expertise. The review encompassed long-term anti-osteoporosis medication goals, first-line treatments for individuals at very high fracture risk, and the strategic integration of anabolic and anti resorptive agents in sequential therapy approaches. Results: The panelists reached a consensus on 12 statements. Key recommendations included advocating for anabolic agents as the first-line treatment for individuals at very high fracture risk and transitioning to anti resorptive agents following the completion of anabolic therapy. Anabolic therapy remains an option for in dividuals experiencing new fractures or persistent high fracture risk despite antiresorptive treatment. In cases of inadequate response, the consensus recommended considering a switch to more potent medications. The consensus also addressed the management of medication-related complications, proposing alternatives instead of discontinuation of treatment. Conclusions This consensus provides a comprehensive, cost-effective strategy for fracture prevention with an emphasis on shared decision-making and the incorporation of country-specific case management systems, such as fracture liaison services. It serves as a valuable guide for healthcare professionals in the Asia-Pacific region, contributing to the ongoing evolution of osteoporosis management.

OBJECTIVES: To study the detection efficiency of trio full sibling with another known full sibling reference added under different number of autosomal STR typing systems. METHODS: Based on 43 detection systems consisting of 13 to 55 representative autosomal STR loci, 10 000 true families (full sibling group) and 10 000 false families (unrelated individual group) were randomly simulated. The full sibling index (FSI) was calculated based on the method of family reconstruction. The cumulative sibling relationship index (CFSI) of 0.000 1 and 10 000 were used as the evaluation thresholds, and the detection efficiency parameters were calculated and compared with the identification of the duo full sibling testing. RESULTS: With the increasing number of STR loci, the error rate and inability of judgement rate gradually decreased; the sensitivity, specificity, correct rate of judgment and other parameters gradually increased, and the system efficiency gradually improved. Under the same detection system, trio full sibling testing showed higher sensitivity, specificity, system efficiency and lower inability of judgement rate compared with duo full sibling testing. When the system efficiency was higher than 0.85 and inability of judgement rate was less than 0.01%, at least 20 STRs should be detected for trio full sibling testing, which was less than 29 STRs required by duo full sibling testing. CONCLUSIONS The detection efficiency of trio full sibling testing is superior to that of duo full sibling testing with the same detection system, which is an effective identification scheme for laboratories with inadequate detection systems or for materials with limited conditions.
Humans ; Siblings ; Microsatellite Repeats/genetics* ; DNA Fingerprinting ; Gene Frequency

ObjectiveTo analyze the risk factors for in-hospital mortality in patients with Takotsubo Syndrome （TTS）. MethodsHospitalization data of consecutive patients with TTS from February 2009 to January 2022 were retrospectively collected and analyzed. Patients were divided into survival group and death group according to outcomes. The basic clinical information， triggering factors， laboratory examinations， electrocardiogram， echocardiography， complications and treatments of the two groups were compared. Univariable logistic regression analysis was used to screen the possible risk factors for in-hospital mortality in TTS patients， and multivariable logistic regression analysis was used to determine the independent risk factors for in-hospital mortality in TTS patients. ResultsA total of 62 TTS patients were included in our study， including 21 males （33.9%）， 41 females （66.1%） and 26 postmenopausal women （41.9%）， with the mean age of （55.6±16.2） years， and physical triggers were found in 50 patients （80.6%）. 17 patients （27.4%） died while 45 patients （72.6%） survived during hospitalization. The death group had lower systolic blood pressure and left ventricular ejection fraction （LVEF）， higher incidence rate of syncope， higher level of N-terminal pro-B natriuretic peptide （NT-proBNP） and hypersensitive troponin T （hs TnT） when compared with survival group （all P value <0.05）. As for the triggering factors， the proportion of TTS induced by neurologic disorders in the death group was higher than that in the survival group （P<0.05）. The death group had higher rates of cardiogenic shock， malignant ventricular arrhythmia， atrial fibrillation， and respiratory failure （all P value <0.05）. Compared with the survival group， therapeutic dopamine， therapeutic norepinephrine， hemodialysis and mechanical ventilation were higher in the death group （all P value <0.05）. Univariable logistic regression analysis suggested that syncope， NT-proBNP， LVEF， neurologic disorders， cardiogenic shock， malignant ventricular arrhythmia， atrial fibrillation， respiratory failure， therapeutic dopamine， therapeutic norepinephrine， hemodialysis and mechanical ventilation were potential risk factors for in-hospital mortality in TTS patients （all P value <0.05）. Multivariable logistic regression analysis indicated that neurologic disorders ［OR（95%CI）=5.651（1.195，26.715），P=0.029］， atrial fibrillation ［OR（95%CI）=6.217（1.276，30.298）， P=0.024）］ and therapeutic norepinephrin ［OR（95%CI）=8.847（1.912，40.949）， P=0.005］ were independent risk factors for in-hospital mortality in TTS patients. ConclusionsNeurologic disorders， atrial fibrillation and therapeutic norepinephrin are independent risk factors for in-hospital mortality in patients with Takotsubo Syndrome. Clinically， attention should be paid to the prevention and treatment of neurologic disorders and atrial fibrillation； norepinephrine should be carefully used in patients with diagnosed TTS complicated with hemodynamic instability.

Objective: To investigate current use of oral anticoagulant (OAC) therapy and influencing factors among coronary artery disease (CAD) patients with nonvalvular atrial fibrillation (NVAF) in China. Methods: Results of this study derived from "China Atrial Fibrillation Registry Study", the study prospectively enrolled atrial fibrillation (AF) patients from 31 hospitals, and patients with valvular AF or treated with catheter ablation were excluded. Baseline data such as age, sex and type of atrial fibrillation were collected, and drug history, history of concomitant diseases, laboratory results and echocardiography results were recorded. CHA₂DS₂-VASc score and HAS-BLED score were calculated. The patients were followed up at the 3rd and 6th months after enrollment and every 6 months thereafter. Patients were divided according to whether they had coronary artery disease and whether they took OAC. Results: 11 067 NVAF patients fulfilling guideline criteria for OAC treatment were included in this study, including 1 837 patients with CAD. 95.4% of NVAF patients with CAD had CHA₂DS₂-VASc score≥2, and 59.7% of patients had HAS-BLED≥3, which was significantly higher than NVAF patients without CAD (P<0.001). Only 34.6% of NVAF patients with CAD were treated with OAC at enrollment. The proportion of HAS-BLED≥3 in the OAC group was significantly lower than in the no-OAC group (36.7% vs. 71.8%, P<0.001). After adjustment with multivariable logistic regression analysis, thromboembolism(OR=2.48,95%CI 1.50-4.10,P<0.001), left atrial diameter≥40 mm(OR=1.89,95%CI 1.23-2.91,P=0.004), stain use (OR=1.83,95%CI 1.01-3.03, P=0.020) and β blocker use (OR=1.74,95%CI 1.13-2.68,P=0.012)were influence factors of OAC treatment. However, the influence factors of no-OAC use were female(OR=0.54,95%CI 0.34-0.86,P=0.001), HAS-BLED≥3 (OR=0.33,95%CI 0.19-0.57,P<0.001), and antiplatelet drug(OR=0.04,95%CI 0.03-0.07,P<0.001). Conclusion: The rate of OAC treatment in NVAF patients with CAD is still low and needs to be further improved. The training and assessment of medical personnel should be strengthened to improve the utilization rate of OAC in these patients.
Humans ; Female ; Male ; Atrial Fibrillation/drug therapy* ; Coronary Artery Disease/complications* ; Anticoagulants/therapeutic use* ; Platelet Aggregation Inhibitors/therapeutic use* ; Risk Factors ; China ; Administration, Oral ; Stroke

Objective: To investigate the morphology and immunohistochemical (IHC) expression of pseudostratified ependymal tubules in ovarian mature teratoma (MT). Methods: Five cases of ovarian MT with pseudostratified ependymal tubules were collected from Shenzhen Hospital(Futian) of Guangzhou University of Chinese Medicine and the Eighth Affiliated Hospital of Sun Yat-sen University from March 2019 to March 2022. In addition, 15 cases of ovarian MT with monolayer ependymal epithelium from Shenzhen Hospital (Futian) of Guangzhou University of Chinese medicine and seven cases of immature teratoma (IMT) from Hainan Provincial People's Hospital from March 2019 to March 2022 were collected as control. The morphologic characteristics and immunophenotypes of pseudostratified ependymal tubules, monolayer ependymal epithelium, and primitive neural epithelial tubules were observed and compared by H&E stain and IHC expression pattern of genes related to the differentiation status of neuroepithelium, namely SALL4, Glypican3, nestin, SOX2, Foxj1, and Ki-67. Results: Mean age of the five patients of ovarian MT with pseudostratified ependymal tubules was 26 years (range from 19 to 31 years). Two tumors were located in the left ovary and three in the right. All five cases were excised, and clinical follow-up was available (mean follow-up 1.5 years; range 0.5 to 3 years). No recurrence was noted in any cases. The pseudostratified ependymal tubules of ovarian MT, which were lined with columnar or oval epithelia up to 4-6 layers, were morphologically similar to the primitive neuroepithelial tubules of IMT and different from monolayer ependymal epithelium of ovarian MT. By immunohistochemistry, SALL4 and Glypican3 were negative, Foxj1 was positive and Ki-67 index was lower in the pseudostratified ependymal tubules and the monolayer ependymal epithelium of ovarian MT. However, the primitive neuroepithelial tubules of IMT showed variably expression of SALL4 and Glypican3, were negative for Foxj1 and high Ki-67 index. All the above three groups expressed nestin and SOX2. Conclusions: The pseudostratified ependymal tubules of ovarian MT, which have morphological similarities to the primitive neuroepithelial tubules of IMT, are similar to the monolayer ependymal epithelia of the MT in immunophenotype. IHC assessment of Foxj1 and Ki-67 is helpful to differentiate the pseudostratified ependymal tubules of ovarian MT from the primitive neuroepithelial tubules of IMT.
Female ; Humans ; Young Adult ; Adult ; Nestin ; Ki-67 Antigen ; Immunohistochemistry ; Ovarian Neoplasms/pathology* ; Teratoma/pathology*