OBJECTIVE: To analyze the changes in coagulation during the treatment of acute promyelocytic leukemia (APL) and explore the influencing factors of coagulation in patients with APL. METHODS: Data of 166 APL patients admitted to our hospital from November 2018 to May 2023 were retrospectively analyzed, and the changes of various clinical indicators before and during treatment were compared. 166 APL patients were divided into abnormal coagulation group (n =115) and normal coagulation group (n =51) according to whether they experienced coagulation dysfunction. The basic information, clinical data and laboratory indicators of the two groups were compared. Multivariate logistic regression analysis was used to screen risk factors for coagulation dysfunction and established logistic regression model. Then we developed a neural network model and ranked the importance of the influencing factors, and used receiver operating characteristic (ROC) curves to evaluate the predictive performance of the two models. RESULTS: The comparative results of various clinical indicators in 166 APL patients before and during treatment showed that systolic blood pressure (SBP), diastolic blood pressure (DBP), total cholesterol (TC), triacylglycerol (TG), low-density lipoprotein cholesterol (LDL-C), estimated glomerular filtration rate (eGFR), platelet (PLT) and fibrinogen (FIB) were significantly increased during the treatment (P < 0.05), while glycosylated hemoglobin (HbA1c), high density lipoprotein cholesterol (HDL-C), blood urea nitrogen (BUN), serum creatinine (SCr), high-sensitivity C reactive protein (hs-CRP), IL-6, TNF-α, TGF-β, white blood cells (WBC), absolute neutrophil count (ANC), prothrombin time (PT), activated partial thromboplastin time (APTT), D-dimer (D-D), fibrinogen degradation products (FDP) and lactate dehydrogenase (LDH) were significantly decreased during the treatment (P < 0.05). The proportion of patients with hemorrhage and high-risk APL in the abnormal coagulation group was significantly higher than that in the normal coagulation group (P < 0.05). The levels of IL-6, TNF-α, WBC, ANC, D-D, FDP and LDH in the abnormal coagulation group were significantly higher than those in the normal coagulation group (P < 0.05). The influencing factors selected by univariate analysis were incorporated into logistic regression analysis and neural network model to predict the risk of coagulation dysfunction in APL patients. ROC curves showed that the AUC of the two models were 096 and 0.908, the sensitivity were 0.824 and 0.892, the specificity were 0.940 and 0.904, the Youden index were 064 and 0.796, and the accuracy were 0.882 and 0.898, respectively. CONCLUSION High risk stratification, hemorrhage, elevated WBC, LDH, ANC and FDP levels are independent risk factors for coagulation dysfunction in APL patients. The logistic regression model and neural network model based on these risk factors demonstrate good predictive performance for coagulation dysfunction in APL patients.
Humans ; Leukemia, Promyelocytic, Acute/therapy* ; Blood Coagulation ; Retrospective Studies ; Male ; Female ; Risk Factors ; Logistic Models ; Middle Aged ; Adult ; ROC Curve

OBJECTIVE: To screen better promoters and provide more powerful tools for basic research and gene therapy of hemophilia. METHODS: Bioinformatics methods were used to analyze the promoters expressing housekeeping genes with high abundance, so as to select potential candidate promoters. The GFP reporter gene vector was constructed, and the packaging efficiency of the novel promoter was investigated with EF1 α promoter as control, and the transcription and activities of the reporter gene were investigated too. The activity of the candidate promoter was investigated by loading F9 gene. RESULTS: The most potential RPS6 promoter was obtained by screening. There was no difference in lentiviral packaging between EF1 α-LV and RPS6-LV, and their virus titer were consistent. In 293T cells, the transduction efficiency and mean fluorescence intensity of RPS6pro-LV and EF1 αpro-LV were proportional to the lentiviral dose. The transfection efficiency of both promoters in different types of cells was in the following order: 293T>HEL>MSC; Compared with EF1 αpro-LV, RPS6pro-LV could obtain a higher fluorescence intensity in MSC cells, and RPS6pro-LV was more stable in long-term cultured HEL cells infected with two lentiviruses respectively. The results of RT-qPCR, Western blot and FIX activity (FIX∶C) detection of K562 cell culture supernatant showed that FIX expression in the EF1 α-F9 and RPS6-F9 groups was higher than that in the unloaded control group, and there was no significant difference in FIX expression between the EF1 α-F9 and RPS6-F9 groups. CONCLUSION After screening and optimization, a promoter was obtained, which can be widely used for exogenous gene expression. The high stability and viability of the promoter were confirmed by long-term culture and active gene expression, which providing a powerful tool for basic research and clinical gene therapy of hemophilia.
Humans ; Transduction, Genetic ; Genetic Vectors ; Hemophilia A/genetics* ; Transfection ; Blood Coagulation Factors/genetics* ; Lentivirus/genetics*

Atrial fibrillation (AF), the most common sustained arrhythmia, is associated with a range of symptoms, including palpitations, cognitive impairment, systemic embolism, and increased mortality. It places a significant burden on healthcare systems worldwide. Despite decades of research, the precise mechanisms underlying AF remain elusive. Current understanding suggests that factors like stretch-induced fibrosis, epicardial adipose tissue (EAT), chronic inflammation, autonomic nervous system (ANS) imbalances, and genetic mutations all play significant roles in its development. In recent years, the advent of wearable devices has revolutionized AF diagnosis, enabling timely detection and monitoring. However, balancing early diagnosis with efficient resource utilization presents new challenges for healthcare providers. AF management primarily focuses on stroke prevention and symptom alleviation. Patients at high risk of thromboembolism require anticoagulation therapy, and emerging pipeline drugs, particularly factor XI inhibitors, hold promise for achieving effective anticoagulation with reduced bleeding risks. The scope of indications for catheter ablation in AF has expanded significantly. Pulsed field ablation, as a novel energy source, shows potential for improving success rates while ensuring safety. This review integrates existing knowledge and ongoing research on AF pathophysiology and clinical management, with emphasis on diagnostic devices, next-generation anticoagulants, drugs targeting underlying mechanisms, and interventional therapies. It offers a comprehensive mosaic of AF, providing insights into its complexities.
Humans ; Atrial Fibrillation/drug therapy* ; Stroke ; Risk Factors ; Anticoagulants/therapeutic use* ; Blood Coagulation ; Catheter Ablation ; Treatment Outcome

OBJECTIVE: To calculate the pharmacokinetic parameters of recombinant human coagulation factor Ⅷ using myPKFiT in patients with severe hemophilia A, and provide an individualized treatment plan for patients. METHODS: A total of 42 patients with severe hemophilia A who were treated with recombinant human coagulation factor Ⅷ were included from January 2021 to December 2021. myPKFiT was used to calculate the pharmacokinetic parameters of FⅧ, and the individualized treatment plan for hemophilia A patients was formulated. RESULTS: The median age of 42 patients with severe hemophilia A was 31（16-50） years old, the average weight was 54.0±9.9 kg, the half-life of FⅧ was 12.05±1.6 h, the time to more than 1% of the baseline was 62.3±15.3 h, and the 0 bleeding rate after the guidance of myPKFiT was significantly increased from 39% to 49%, the Annual bleeding rate was reduced from 3.6±2.5 to 2.1±2.0, and the Annual joint bleeding rate was reduced from 3.2±2.2 to 1.9±0.9, all of which were statistically different (P<0.05). CONCLUSION Individualized therapy in patients with severe hemophilia A who were guided by myPKFiT assay of pharmacokinetics parameters can significantly reduce the annual bleeding rate and annual joint bleeding rate of patients.
Adult ; Humans ; Middle Aged ; Blood Coagulation Factors ; Factor VIII/pharmacokinetics* ; Hemophilia A ; Hemorrhage ; Recombinant Proteins/pharmacokinetics* ; Adolescent ; Young Adult

OBJECTIVE: To analyze the results of activated partial thromboplastin time (APTT) mixing test in coagulation factor Ⅷ inhibitor-positive hemophilia patients, so as to increase the value of APTT mixing test in the screen of factor Ⅷ inhibitor. METHODS: Eighty plasmas samples with different titers of coagulation factor Ⅷ inhibitors had been collected and diluted for routine immediate APTT mixing test and at 37 ℃ 2 hours incubation APTT mixing test. Fifteen samples were selected for immediate and normal temperature incubation for 15 min, 30min, 1 hour, 2 hours and 37 ℃ for 30 min, 1 hour, 2 hours APTT mixing test. RESULTS: The results of APTT mixing test were significantly correlated with the titers of coagulation factor Ⅷ inhibitors. The ROC curve result showed that the best diagnostic cut-off value for 2 hours incubation APTT mixing test at 37 ℃ to determine the presence or absence of coagulation factor Ⅷ inhibitors was 43.8 s (sensitivity and specificity was 85.90% and 100%, respectively), while the best diagnostic cut-off value for distinguishing high-titer and low-titer Ⅷ inhibitors was 52.4 s (sensitivity and specificity was 98.18% and 95.65%, respectively). The critical coagulation factor Ⅷ inhibitor titer that could not be corrected by immediate APTT was 5.14 BU/ml, while that could not be corrected by 37 ℃ 2 hours incubation APTT was 1.31 BU/ml. Paired samples t -test was performed on the APTT mixing test results at different times and temperatures, and the differences were statistically significant (P < 0.05). CONCLUSIONS The APTT mixing test can be used as a screening index for coagulation factor Ⅷ inhibitors. APTT mixing test result shows a significant time-temperature dependence with lower titers of coagulation factor Ⅷ inhibitor. Patients with hemophilia who cannot be corrected by immediate APTT mixing test should be alert to the possibility of high titer of coagulation factor Ⅷ.
Humans ; Factor VIII ; Hemophilia A/diagnosis* ; Blood Coagulation Tests/methods* ; Partial Thromboplastin Time ; Blood Coagulation Factors

Humans ; Blood Coagulation Factors/therapeutic use*

Objective: To analyze the clinical characteristics, laboratory examination, diagnosis, treatment, and outcome of hereditary factor Ⅹ (FⅩ) deficiency. Methods: Clinical data of 11 patients with congenital FⅩ deficiency were retrospectively analyzed from July 2009 to February 2021. Results: There were 3 males and 8 females. Median age was 39 (5-55) years. The media duration of follow-up was 81.67 (1.87-142.73) months. Of the 11 patients, 10 had bleeding symptoms, 7 had ecchymosis or hemorrhage after skin bump, 7 had nosebleed, 6 had gingival hemorrhage, and 1 had muscle hematoma. Among the female patients, 6 had menorrhagia and 1 experienced bleeding after vaginal delivery. Family history of FⅩ deficiency was found in one case. Eight patients had a history of surgery, and four had postoperative bleeding. Laboratory findings were characterized by significantly prolonged activated partial thromboplastin time, prothrombin time, and decreased FⅩ activity (FⅩ∶C) . Four cases underwent gene mutation analysis and five new mutations were found. Four cases were treated with prothrombin complex concentrates (PCC) and seven cases with fresh frozen plasma (FFP) . One female patient had significantly reduced menstrual volume after PCC prophylactic therapy. One patient received FFP for prophylactic infusion with no bleeding during and after the operation. Conclusion: Most patients with congenital FⅩ deficiency had bleeding symptoms and there was no significant correlation between severity of bleeding symptoms and FⅩ∶C. Prophylaxis should be applied in patients with severe bleeding tendencies. Gene mutation test is significant for screening, diagnosis, and prognosis prediction of congenital FX deficiency.
Adolescent ; Adult ; Blood Coagulation Factors/therapeutic use* ; Blood Coagulation Tests ; Child ; Child, Preschool ; Factor X Deficiency/genetics* ; Female ; Hemorrhage/drug therapy* ; Humans ; Male ; Middle Aged ; Plasma ; Retrospective Studies ; Young Adult

Humans ; COVID-19 ; Fibrin Fibrinogen Degradation Products ; Blood Coagulation Factors ; Survival Analysis

Bromadiolone, commonly known as super warfarin, is a long-acting coumarin dicoumarin rodenticide. The mechanism of bromadiolone is mainly to inhibit vitamin K1 epoxide reductase and affect the synthesis of coagulation factors Ⅱ, Ⅶ, Ⅸ and Ⅹ, which causes blood coagulation dysfunction and systemic multiple organ hemorrhage. Here, we report of a case of bromadiolone poisoning patient who had digestive tract, abdominal hemorrhage, as well as secondary paralytic ileus. After blood product transfusion and vitamin K1 supplementation, the patient was discharged after the physical condition was improved. It's suggestied that clinicians should pay attention to rare complications to prevent missed diagnosis when treating other bromadiolone poisoning.
4-Hydroxycoumarins ; Blood Coagulation Factors ; Dicumarol ; Hemorrhage ; Humans ; Intestinal Pseudo-Obstruction/chemically induced* ; Oxidoreductases ; Rodenticides ; Vitamin K 1 ; Warfarin

Objective To investigate the correlation between the polymorphism of 4 coagulation-related genes, rs1799963 （coagulation factor V gene Leiden）, rs6025 （prothrombin gene G20210A）, rs1042579 （thrombomodulin protein gene c.1418C>T） and rs1801131 （methylenetetrahydroflate reductase gene） and lower extremity deep venous thrombosis （LEDVT）. Methods The 4 genotypes mentioned above of 150 LEDVT patients and 153 healthy controls were detected by the kompetitive allele specific polymerase chain reaction （KASP）, then related blood biochemical indicators were collected, binary Logistic regression was established to screen the independent risk factors of LEDVT, and the correlation between polymorphism of 4 coagulation-related genes and LEDVT and its indicators under different genetic modes after adjusting confounding factors were analyzed. Results Five variables, D-dimer, fibrinogen degradation product, homocysteine, sex and age might be the risk factors of LEDVT. These variables were put into 4 genetic inheritance models, and adjusted in binary Logistic regression. The results suggested that the mutations of rs1042579 were correlated with LEDVT under dominant inheritance mode. Conclusion The gene polymorphism of rs1799963, rs6025 and rs1801131 has no significant correlation with the formation of LEDVT. The gene polymorphism of rs1042579 plays a role under dominant inheritance mode, and might be an independent risk factor for formation of LEDVT.
Blood Coagulation/genetics* ; Humans ; Lower Extremity ; Polymorphism, Genetic ; Risk Factors ; Venous Thrombosis/genetics*