OBJECTIVE: To investigate the prognostic significance of combined coagulation and fibrinolysis marker analysis in predicting the development of deep venous thrombosis (DVT) following proximal femoral anti-rotation intramedullary nail (PFNA) surgery in elderly patients with intertrochanteric femur fractures. METHODS: A retrospective analysis was conducted on the clinical data of 80 elderly patients who underwent PFNA treatment for intertrochanteric fractures between April 2019 and April 2023. There were 26 males and 54 females. The patients' ages ranged from 60 to 85 years old, with a mean age of (76.4±5.6) years old. According to the occurrence of DVT following PFNA, patients were categorized into two groups. The DVT group were 29 patients, comprising 10 males and 19 females with a mean age of (76.9 ± 6.1)years old. And the non-DVT group were 51 patients, consisting of 16 males and 35 females with a mean age of (75.3 ± 6.9 )years old. The prothrombin time (PT), activated partial thromboplastin time(APTT), thrombin time(TT), plasma fibrinogen (FIB), plasma thrombin-antithrombin complex(TAT), and D-dimer levels were compared between the two groups immediately post- PFNA surgery, as well as at 3 and 7 days postoperatively. Pearson correlation analysis was conducted to evaluate the relationship between plasma FIB, TAT, and D-dimer levels in patients who developed DVT. Multivariate logistic regression analysis was employed to assess the association between each coagulation and fibrinolysis index following PFNA surgery in elderly patients and the incidence of DVT. The area under the receiver operating characteristic (ROC) curve (AUC) was utilized to determine the predictive value of PT, APTT, TT, FIB, TAT, and D-dimer for postoperative DVT occurrence. RESULTS: There were no statistically significant differences in PT, APTT, and TT between the two groups immediately post-surgery, at 3 days, and at 7 days (P>0.05). At immediately, 3 days and 7 days postoperatively in DVT group, FIB were (4.68±1.77), (6.73±2.02), (8.81±2.86) g·L^-1, TAT were (10.64±2.30), (12.88±3.45), (14.96±4.87) μg·L^-1 respectively. D-dimer were (635.00±100.88), (720.02±168.09), (810.47±170.19) μg· L^-1, respectively.In the DVT group FIB were (3.46±0.47), (3.55±0.52), (3.67±0.48) g·L^-1, TAT were (8.58±3.37), (8.69±3.48), (8.80±3.50) g·L^-1, D-dimer were (588.36±96.68), (589.58±96.45), (591.11±95.50) g·L^-1. The difference between the two groups was statistically significant (P<0.05). Pearson correlation analysis revealed significant positive correlations between FIB and D-dimer(r=0.428, 0.523, P<0.05), FIB and TAT(r=0.517, 0.411, P<0.05), as well as TAT and D-dimer(r=0.602, 0.596, P<0.05). Multivariate Logistic regression analysis revealed that FIB OR=3.252, 95% CI(0.640, 3.975), P<0.01, TAT OR=1.461, 95% CI(1.059, 2.011), P<0.05, and D-dimer OR=3.830, 95%CI (2.032 to 7.213), P<0.01 were significantly associated with the development of DVT following PFNA surgery. The combined detection of PT, APTT, TT, FIB, TAT, and D-dimer demonstrates significantly greater predictive value for the occurrence of DVT following PFNA surgery compared to individual index detection (P<0.01). CONCLUSION The combined detection of PT, APTT, TT, FIB, TAT and D-D has a high predictive value for DVT in elderly patients with femoral intertrochanteric fracture after PFNA, which is of vital importance in the early diagnosis of DVT and early prevention of pulmonary embolism and other serious complications.
Humans ; Male ; Female ; Venous Thrombosis/diagnosis* ; Aged, 80 and over ; Aged ; Fibrinolysis ; Retrospective Studies ; Blood Coagulation ; Hip Fractures/blood* ; Fracture Fixation, Intramedullary/adverse effects* ; Middle Aged ; Postoperative Complications/blood* ; Bone Nails/adverse effects*

Objective To explore the expression of coagulation indexes in rheumatoid arthritis (RA) and dry syndrome (pSS) and their relationships with inflammation and immune function. Methods A total of 61 patients with RA who were hospitalized in the Department of Rheumatology of Anhui Provincial Hospital of Traditional Chinese Medicine from March 12 to September 9, 2024 were selected as the RA group. And 61 patients with pSS who were hospitalized in the Department of Rheumatology of the same hospital September 4, 2023, to August 17, 2024, were selected as the pSS group. 61 healthy individuals who underwent routine medical checkups at the Physical Examination Center of Anhui Provincial Hospital of Traditional Chinese Medicine during the same period were included as the control group. Baseline clinical indexes before treatment were collected from patients in each group, including prothrombin time(PT), international normalized ratio(INR), thrombia time(TT), fibrinogen(FBG), activated partial thromboplastin time(APTT), fibrin (ogen) degradation products(FDP) and D-Dimer(D-D). Results The expression levels of PT, FBG, TT, FDP, and D-D in the RA group, the pSS group, and the normal group were significantly different. The expression levels of PT, FBG, FDP, and D-D in the RA group were all higher than those in the pSS group and the control group, respectively. And the expression level of TT in the pSS group was lower than that in control group. ROC curve analysis showed that the AUC of PT was 0.638, the AUC of FBG was 0.899, the AUC of FDP was 0.866, and the AUC of D-D was 0.919 in the RA group compared with the normal group. And the AUC of coagulation indexes for joint diagnosis of RA was higher than that of the indexes detected individually. pSS group had an AUC of PT of 0.618 compared with that of the normal group. The AUC of TT was 0.645, and the AUC of coagulation indexes for the joint diagnosis of pSS was higher than the AUC of each index detected separately. Association rule analysis showed that elevated D-D in RA patients had a significant correlation with elevated hs-CRP, CCP and RF, and elevated FBG had a significant correlation with elevated hs-CRP, ESR, RF and CCP. Elevated D-D in pSS patients had a correlation with elevated hs-CRP and anti-SSA, and elevated INR has correlation with elevated hs-CRP, anti-SSA and anti-SSB. Correlation analysis showed that PT, INR, FBG, FDP, and D-D were positively correlated with CRP and ESR, and TT was negatively correlated with CRP and ESR in the RA group. FBG, FDP, and D-D were positively correlated with CRP and ESR in the pSS group. Moreover, coagulation indexes were positively correlated with immune indexes in RA group and pSS group which were all significant. The results of multiple linear regression analysis showed that FBG was a positive correlate of hs-CRP and ESR in RA patients. For PSS patients, FBG and FDP were positive correlates of hs-CRP. APTT and FBG were positive correlates of ESR. Conclusion Compared with pSS, coagulation indexes (especially PT, FBG, FDP and D-D) are more informative for the early diagnosis of RA and the judgment of the degree of the disease, and can be used as an important predictor for the confirmation of the diagnosis of RA.
Humans ; Female ; Male ; Arthritis, Rheumatoid/diagnosis* ; Middle Aged ; Fibrin Fibrinogen Degradation Products/analysis* ; Blood Coagulation ; Adult ; Fibrinogen/metabolism* ; Partial Thromboplastin Time ; Prothrombin Time ; Aged ; Inflammation/immunology* ; ROC Curve

PURPOSE: Septic shock is associated with high mortality and poor outcomes among sepsis patients with coagulopathy. Although traditional statistical methods or machine learning (ML) algorithms have been proposed to predict septic shock, these potential approaches have never been systematically compared. The present work aimed to develop and compare models to predict septic shock among patients with sepsis. METHODS: It is a retrospective cohort study based on 484 patients with sepsis who were admitted to our intensive care units between May 2018 and November 2022. Patients from the 908th Hospital of Chinese PLA Logistical Support Force and Nanchang Hongdu Hospital of Traditional Chinese Medicine were respectively allocated to training (n=311) and validation (n=173) sets. All clinical and laboratory data of sepsis patients characterized by comprehensive coagulation indexes were collected. We developed 5 models based on ML algorithms and 1 model based on a traditional statistical method to predict septic shock in the training cohort. The performance of all models was assessed using the area under the receiver operating characteristic curve and calibration plots. Decision curve analysis was used to evaluate the net benefit of the models. The validation set was applied to verify the predictive accuracy of the models. This study also used Shapley additive explanations method to assess variable importance and explain the prediction made by a ML algorithm. RESULTS: Among all patients, 37.2% experienced septic shock. The characteristic curves of the 6 models ranged from 0.833 to 0.962 and 0.630 to 0.744 in the training and validation sets, respectively. The model with the best prediction performance was based on the support vector machine (SVM) algorithm, which was constructed by age, tissue plasminogen activator-inhibitor complex, prothrombin time, international normalized ratio, white blood cells, and platelet counts. The SVM model showed good calibration and discrimination and a greater net benefit in decision curve analysis. CONCLUSION The SVM algorithm may be superior to other ML and traditional statistical algorithms for predicting septic shock. Physicians can better understand the reliability of the predictive model by Shapley additive explanations value analysis.
Humans ; Shock, Septic/blood* ; Machine Learning ; Male ; Female ; Retrospective Studies ; Middle Aged ; Aged ; Sepsis/complications* ; ROC Curve ; Cohort Studies ; Adult ; Intensive Care Units ; Algorithms ; Blood Coagulation ; Critical Illness

OBJECTIVES: To explore the role of berberine (BBR) in ameliorating coronary endothelial cell injury in Kawasaki disease (KD) by regulating the complement and coagulation cascade. METHODS: Human coronary artery endothelial cells (HCAEC) were divided into a healthy control group, a KD group, and a BBR treatment group (n=3 for each group). The healthy control group and KD group were supplemented with 15% serum from healthy children and KD patients, respectively, while the BBR treatment group received 15% serum from KD patients followed by the addition of 20 mmol/L BBR. Differential protein expression was analyzed and identified using isobaric tags for relative and absolute quantitation technology and liquid chromatography-tandem mass spectrometry, followed by GO functional enrichment analysis and KEGG signaling pathway enrichment analysis of the differential proteins. Western blot was used to detect differential protein expression. RESULTS: A total of 518 differential proteins were identified between the KD group and the healthy control group (300 upregulated proteins and 218 downregulated proteins). A total of 422 differential proteins were identified between the BBR treatment group and the KD group (221 upregulated proteins and 201 downregulated proteins). Bioinformatics analysis showed that compared to the healthy control group, the differential proteins in the KD group were enriched in the complement and coagulation cascade and ribosome biogenesis in eukaryotes. Compared to the KD group, the differential proteins in the BBR treatment group were also enriched in the complement and coagulation cascade and ribosome biogenesis in eukaryotes. Western blot results indicated that compared to the healthy control group, the expression of complement C1q subcomponent subunit C (C1QC), kininogen-1 (KNG1), complement C1s subcomponent (C1S), and C4b-binding protein alpha chain (C4BPA) was increased in the KD group (P<0.05). Compared to the KD group, the expression of KNG1, C1S, C1QC, and C4BPA was decreased in the BBR treatment group (P<0.05). CONCLUSIONS The complement and coagulation cascade may be involved in the regulation of BBR treatment for coronary injury in KD, and C1QC, KNG1, C1S, and C4BPA may serve as biomarkers for this treatment.
Mucocutaneous Lymph Node Syndrome/blood* ; Humans ; Endothelial Cells/pathology* ; Complement System Proteins/physiology* ; Coronary Vessels/drug effects* ; Male ; Blood Coagulation/drug effects* ; Berberine/therapeutic use* ; Female ; Child, Preschool ; Infant

OBJECTIVES: To investigate the application value of thromboelastography (TEG) in assessing coagulation function in children with severe hemophilia A (HA) after emicizumab (EMI) therapy. METHODS: A retrospective analysis was performed on the activated partial thromboplastin time (APTT) and TEG testing results of 17 children with severe HA before and after EMI treatment at Shenzhen Children's Hospital from January 2023 to July 2024. Correlation analysis was conducted between coagulation factor VIII (FVIII) equivalent activity and reaction time (R value) measured by TEG. RESULTS: After EMI treatment, the mean bleeding rate for children with severe HA was 1.6 events per year, with 15 children (88%) without spontaneous bleeding or joint bleeding. The children with severe HA showed a significant reduction in APTT after EMI treatment (P<0.05), with a significantly shorter APTT than the normal control group (P<0.05). There was no correlation between APTT and FVIII equivalent activity after treatment (P>0.05). After EMI treatment, TEG parameters, including R value, kinetic time, alpha angle (α), maximum amplitude, clot strength, and coagulation index, shifted from a hypocoagulable state before treatment to a nearly normal state after treatment (P<0.05). The R value demonstrated a strong negative correlation with FVIII equivalent activity (r=-0.758, P<0.05). CONCLUSIONS The bleeding condition of children with severe HA can be effectively controlled after EMI treatment. Routine APTT testing cannot reflect true coagulation function, whereas TEG testing is clinically valuable in assessing the coagulation function of children with severe HA undergoing EMI treatment.
Humans ; Thrombelastography ; Hemophilia A/physiopathology* ; Male ; Child ; Antibodies, Bispecific/therapeutic use* ; Antibodies, Monoclonal, Humanized/therapeutic use* ; Blood Coagulation/drug effects* ; Child, Preschool ; Retrospective Studies ; Female ; Partial Thromboplastin Time ; Adolescent ; Infant

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 investigate a family with hereditary coagulation factor XI (FXI) deficiency, identify its possible genetic etiology, analyze the bleeding risk of the proband, and provide a blood transfusion regimen. METHODS: The blood samples from the family members were collected, and the coagulation parameters of the proband and her family members were detected. Whole-exome sequencing was performed on the blood samples of the proband to identify gene variants, and validate the variants in the family using Sanger sequencing. Bioinformatics softwares were used to analyze the conservation of amino acid variant sites and the impact of the variations on protein function. The pathogenicity of the variant sites was analyzed according to the genetic variation classification criteria and guidelines of the American College of Medical Genetics and Genomics (ACMG). Thromboelastography (TEG) was used to assess the coagulation function of the family members and evaluate the transfusion regimen and its efficacy in the proband. RESULTS: The activated partial thromboplastin time (APTT) of the proband was significantly prolonged to 96.7 seconds, and FXI activity (FXI: C) and FXI antigen (FXI: Ag) decreased to 1.3% and 1%, respectively, both of which were extremely reduced. The FXI: C of the proband's father was also significantly lower than the normal value. The TEG results showed that the coagulation function of the proband was reduced, while the coagulation function of other family members was normal. The F11 gene of the proband exhibited compound heterozygous variants of c.738G>A (p.Trp246 *) and c.1288G>A (p.Ala430Thr). The proband's father carried a heterozygous missense variant of c.1288G>A (p.Ala430Thr), while her mother, her eldest daughter, and her youngest daughter carried a heterozygous nonsense variant of c.738G>A (p.Trp246 *). According to the ACMG genetic variation classification criteria and guidelines, c.738G>A (p.Trp246 *) is classified as a pathogenic variant (PVS1+PS3-Moderate+PP4), and c.1288G>A (p.Ala430Thr) is classified as a possible pathogenic variant (PS3-Moderate+PM1+PM3_Srong+PP4). p.Trp246 and p.Ala430 are highly conserved across different species. Swiss PdbViewer software analysis showed that p.Ala430Thr variant caused a change in the number of hydrogen bonds in FXI protein, affecting protein function. The following transfusion regimen was determined through TEG evaluation in vitro: 600 ml of fresh frozen plasma (FFP) was administered 24 hours before surgery to prevent bleeding. And there was no significant bleeding during or after the surgery. CONCLUSION The heterozygous nonsense variant ofc.738G>A (p.Trp246 *) and the heterozygous missense variant of c.1288G>A (p.Ala430Thr) in the F11 gene are the pathogenic factors of this hereditary FXI deficiency family.
Humans ; Factor XI Deficiency/therapy* ; Factor XI/genetics* ; Blood Transfusion ; Pedigree ; Female ; Male ; Mutation ; Thrombelastography ; Partial Thromboplastin Time ; Blood Coagulation ; Adult

The accurate and timely detection of biochemical coagulation indicators is pivotal in pulmonary and critical care medicine. Despite their reliability, traditional laboratories often lag in terms of rapid diagnosis. Point-of-care testing (POCT) has emerged as a promising alternative, which is awaiting rigorous validation. We assessed 226 samples from patients at the First Affiliated Hospital of Guangzhou Medical University using a Beckman Coulter AU5821 and a PUSHKANG POCT Biochemistry Analyzer MS100. Furthermore, 350 samples were evaluated with a Stago coagulation analyzer STAR MAX and a PUSHKANG POCT Coagulation Analyzer MC100. Metrics included thirteen biochemical indexes, such as albumin, and five coagulation indices, such as prothrombin time. Comparisons were drawn against the PUSHKANG POCT analyzer. Bland-Altman plots (MS100: 0.8206‒0.9995; MC100: 0.8318‒0.9911) evinced significant consistency between methodologies. Spearman correlation pinpointed a potent linear association between conventional devices and the PUSHKANG POCT analyzer, further underscored by a robust correlation coefficient (MS100: 0.713‒0.949; MC100: 0.593‒0.950). The PUSHKANG POCT was validated as a dependable tool for serum and whole blood biochemical and coagulation diagnostics. This emphasizes its prospective clinical efficacy, offering clinicians a swift diagnostic tool and heralding a new era of enhanced patient care outcomes.
Humans ; Point-of-Care Testing ; Critical Care ; Blood Coagulation Tests/methods* ; Male ; Blood Coagulation ; Female ; Middle Aged ; Reproducibility of Results ; Prothrombin Time ; Aged ; Adult ; Point-of-Care Systems

OBJECTIVE: To investigate the application value of pediatric sepsis-induced coagulation (pSIC) score and mean platelet volume/platelet count (MPV/PLT) ratio in the diagnosis of pediatric sepsis and the determination of critical pediatric sepsis. METHODS: A retrospective cohort study was conducted, selecting 112 children with sepsis (sepsis group) admitted to pediatric intensive care unit (PICU) of Liaocheng Second People's Hospital from January 2020 to December 2023 as the study objects, and 50 children without sepsis admitted to the pediatric surgery department of our hospital during the same period for elective surgery due to inguinal hernia as the control (control group). The children with sepsis were divided into two groups according to the pediatric critical case score (PCIS). The children with PCIS score of ≤ 80 were classified as critically ill group, and those with PCIS score of > 80 was classified as non-critically ill group. pSIC score, coagulation indicators [prothrombin time (PT), international normalized ratio (INR), activated partial thromboplastin time (APTT), and fibrinogen (FIB)], and platelet related indicators (PLT, MPV, and MPV/PLT ratio) were collected. Pearson correlation method was used to analyze the correlation between pSIC score and MPV/PLT ratio as well as their correlation with coagulation indicators. Multivariate Logistic regression analysis was used to screen the independent risk factors for pediatric sepsis and critical pediatric sepsis. Receiver operator characteristic curve (ROC curve) was drawn to evaluate the application value of the above independent risk factors on the diagnosis of pediatric sepsis and the determination of critical pediatric sepsis. RESULTS: 112 children with sepsis and 50 children without sepsis were enrolled in the final analysis. pSIC score, PT, INR, APTT, FIB, MPV, and MPV/PLT ratio in the sepsis group were significantly higher than those in the control group [pSIC score: 0.93±0.10 vs. 0.06±0.03, PT (s): 14.76±0.38 vs. 12.23±0.15, INR: 1.26±0.03 vs. 1.06±0.01, APTT (s): 40.08±0.94 vs. 32.47±0.54, FIB (g/L): 3.51±0.11 vs. 2.31±0.06, MPV (fL): 8.86±0.14 vs. 7.62±0.11, MPV/PLT ratio: 0.037±0.003 vs. 0.022±0.001, all P < 0.01], and PLT was slightly lower than that in the control group (×10⁹/L: 306.00±11.01 vs. 345.90±10.57, P > 0.05). Among 112 children with sepsis, 46 were critically ill and 66 were non-critically ill. pSIC score, PT, INR, APTT, MPV, and MPV/PLT ratio in the critically ill group were significantly higher than those in the non-critically ill group [pSIC score: 1.74±0.17 vs. 0.36±0.07, PT (s): 16.55±0.80 vs. 13.52±0.23, INR: 1.39±0.07 vs. 1.17±0.02, APTT (s): 43.83±1.72 vs. 37.77±0.95, MPV (fL): 9.31±0.23 vs. 8.55±0.16, MPV/PLT ratio: 0.051±0.006 vs. 0.027±0.001, all P < 0.05], PLT was significantly lower than that in the non-critically ill group (×10⁹/L: 260.50±18.89 vs. 337.70±11.90, P < 0.01), and FIB was slightly lower than that in the non-critically ill group (g/L: 3.28±0.19 vs. 3.67±0.14, P > 0.05). Correlation analysis showed that pSIC score was significantly positively correlated with MPV/PLT ratio and coagulation indicators including PT, APTT and INR in pediatric sepsis (r value was 0.583, 0.571, 0.296 and 0.518, respectively, all P < 0.01), and MPV/PLT ratio was also significantly positively correlated with PT, APTT and INR (r value was 0.300, 0.203 and 0.307, respectively, all P < 0.05). Multivariate Logistic regression analysis showed that pSIC score and MPV/PLT ratio were independent risk factors for pediatric sepsis and critical pediatric sepsis [pediatric sepsis: odds ratio (OR) and 95% confidence interval (95%CI) for pSIC score was 14.117 (4.190-47.555), and the OR value and 95%CI for MPV/PLT ratio was 1.128 (1.059-1.202), both P < 0.01; critical pediatric sepsis: the OR value and 95%CI for pSIC score was 8.142 (3.672-18.050), and the OR value and 95%CI for MPV/PLT ratio was 1.068 (1.028-1.109), all P < 0.01]. ROC curve analysis showed that pSIC score and MPV/PLT ratio had certain application value in the diagnosis of pediatric sepsis [area under the ROC curve (AUC) and 95%CI was 0.754 (0.700-0.808) and 0.720 (0.643-0.798), respectively] and the determination of critical pediatric sepsis [AUC and 95%CI was 0.849 (0.778-0.919) and 0.731 (0.632-0.830)], and the combined AUC of the two indictors was 0.815 (95%CI was 0.751-0.879) and 0.872 (95%CI was 0.806-0.938), respectively. CONCLUSIONS pSIC score and MPV/PLT ratio have potential application value in the diagnosis of pediatric sepsis and the determination of critical pediatric sepsis, and the combined application of both is more valuable.
Humans ; Sepsis/complications* ; Platelet Count ; Mean Platelet Volume ; Retrospective Studies ; Child ; Blood Coagulation Disorders/diagnosis* ; Intensive Care Units, Pediatric ; Male ; Female ; Partial Thromboplastin Time ; Child, Preschool ; Blood Coagulation ; International Normalized Ratio ; Infant

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