Objective: To investigate treatment strategies for chronic periapical periodontitis in prematurely erupted premolars and provide guidance for managing pulp and periapical diseases in young permanent teeth with immature roots. Methods: A regenerative endodontic procedure (REP) was performed on a prematurely erupted maxillary left first premolar (tooth 24) at Nolla stage Ⅶ with chronic apical periodontitis, following standardized protocols including root canal irrigation, disinfection, and coronal sealing. The case was followed up, and a literature review was conducted. Results: Clinical resolution of symptoms was observed on tooth 24, with sustained root development. After a 20-month follow-up, the tooth had restored biological function. Literature synthesis revealed that periapical infections in prematurely erupted permanent teeth predominently arise from pulp exposure and bacterial infection, with retrograde infection being rare. For young permanent teeth with necrotic pulp, regenerative endodontic procedures has been established as the treatment of choice to promote apical closure and root maturation. The critical steps of regenerative endodontic procedures include thorough disinfection, induced bleeding to form a fibrin scaffold, and coronal sealing to facilitate stem cell recruitment and differentiation. Conclusion Regenerative endodontic procedures represents an effective and viable treatment option for prematurely erupted young permanent teeth with chronic periapical periodontitis.

BACKGROUND: In the interim analysis of MONARCH plus, adding abemaciclib to endocrine therapy (ET) improved progression-free survival (PFS) and objective response rate (ORR) in predominantly Chinese postmenopausal women with HR+/HER2- advanced breast cancer (ABC). This study presents the final pre-planned PFS analysis. METHODS: In the phase III MONARCH plus study, postmenopausal women in China, India, Brazil, and South Africa with HR+/HER2- ABC without prior systemic therapy in an advanced setting (cohort A) or progression on prior ET (cohort B) were randomized (2:1) to abemaciclib (150 mg twice daily [BID]) or placebo plus: anastrozole (1.0 mg/day) or letrozole (2.5 mg/day) (cohort A) or fulvestrant (500 mg on days 1 and 15 of cycle 1 and then on day 1 of each subsequent cycle) (cohort B). The primary endpoint was PFS of cohort A. Secondary endpoints included cohort B PFS (key secondary endpoint), ORR, overall survival (OS), safety, and health-related quality of life (HRQoL). RESULTS: In cohort A (abemaciclib: n  = 207; placebo: n  = 99), abemaciclib plus a non-steroidal aromatase inhibitor improved median PFS vs . placebo (28.27 months vs . 14.73 months, hazard ratio [HR]: 0.476; 95% confidence interval [95% CI]: 0.348-0.649). In cohort B (abemaciclib: n  = 104; placebo: n  = 53), abemaciclib plus fulvestrant improved median PFS vs . placebo (11.41 months vs . 5.59 months, HR: 0.480; 95% CI: 0.322-0.715). Abemaciclib numerically improved ORR. Although immature, a trend toward OS benefit with abemaciclib was observed (cohort A: HR: 0.893, 95% CI: 0.553-1.443; cohort B: HR: 0.512, 95% CI: 0.281-0.931). The most frequent grade ≥3 adverse events in the abemaciclib arms were neutropenia, leukopenia, anemia (both cohorts), and lymphocytopenia (cohort B). Abemaciclib did not cause clinically meaningful changes in patient-reported global health, functioning, or most symptoms vs . placebo. CONCLUSIONS: Abemaciclib plus ET led to improvements in PFS and ORR, a manageable safety profile, and sustained HRQoL, providing clinical benefit without a high toxicity burden or reduced quality of life. TRIAL REGISTRATION ClinicalTrials.gov (NCT02763566).
Humans ; Female ; Fulvestrant/therapeutic use* ; Breast Neoplasms/metabolism* ; Aminopyridines/therapeutic use* ; Benzimidazoles/therapeutic use* ; Middle Aged ; Aromatase Inhibitors/therapeutic use* ; Aged ; Receptor, ErbB-2/metabolism* ; Adult ; Letrozole/therapeutic use* ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Anastrozole/therapeutic use*

The connection between tendons and bones is called the tendon bone connection. With the continuous improvement of national sports awareness, excessive exercises and the related intensity are prone to damage the tendon bone connection. Tendon bone healing is a complex repair and healing process involving multiple factors, and good tendon bone healing is a prerequisite for its physiological function. The complexity of tendon bone structure also poses great challenges to the repair of tendon bone injuries. In recent years, researches have found that stem cells, growth factors, macrophages, and other factors are closely related to the healing process of tendon bone injuries, among which macrophages play an important role in the healing process. The authors reviewed relevant research literature in recent years and summarized the role of macrophages in tendon bone healing, in order to provide new ideas and directions for treatment strategies to promote tendon bone healing.
Humans ; Macrophages/metabolism* ; Wound Healing ; Animals ; Tendons/physiology* ; Bone and Bones/injuries* ; Tendon Injuries

Objective Based on 25 indicators including immune factors, cell count classification, and smear results of the knee joint fluid, machine learning models were established to distinguish between osteoarthritis (OA) and rheumatoid arthritis (RA). Methods 100 OA and 40 RA patients scheduled for total knee arthroplasty were enrolled respectively. Each patient's knee joint fluid was collected preoperatively. Nucleated cells were counted and classified. The expression levels of immune factors, including tumor necrosis factor alpha (TNF-α), interleukin-1 beta (IL-1β), IL-6, IL-8, IL-15, matrix metalloproteinase 3 (MMP3), MMP9, MMP13, rheumatoid factor (RF), serum amyloid A (SAA), C-reactive protein (CRP), and others were measured. Smears and microscopic classification of all the immune factors were performed. Independent influencing factors for OA or RA were identified using univariate binary logistic regression, Lasso regression, and multivariate binary logistic regression. Based on the independent influencing factors, three machine learning models were constructed which are logistic regression, random forest, and support vector machine. Receiver operating characteristic curve (ROC), calibration curve and decision curve analysis (DCA) were used to evaluate and compare the models. Results A total of 5 indicators in the knee joint fluid were screened out to distinguish OA and RA, which were IL-1β(odds ratio(OR)=10.512, 95× confidence interval (95×CI) was 1.048-105.42, P=0.045), IL-6 (OR=1.007, 95×CI was 1.001-1.014, P=0.022), MMP9 (OR=3.202, 95×CI was 1.235-8.305, P=0.017), MMP13 (OR=1.002, 95× CI was 1-1.004, P=0.049), and RF (OR=1.091, 95×CI was 1.01-1.179, P=0.026). According to the results of ROC, calibration curve and DCA, the accuracy (0.979), sensitivity (0.98) and area under the curve (AUC, 0.996, 95×CI was 0.991-1) of the random forest model were the highest. It has good validity and feasibility, and its distinguishing ability is better than the other two models. Conclusion The machine learning model based on immune factors in the knee joint fluid holds significant value in distinguishing OA and RA. It provides an important reference for the clinical early differential diagnosis, prevention and treatment of OA and RA.
Humans ; Arthritis, Rheumatoid/metabolism* ; Machine Learning ; Male ; Female ; Middle Aged ; Aged ; Synovial Fluid/immunology* ; Osteoarthritis, Knee/metabolism* ; Knee Joint/metabolism* ; ROC Curve ; Diagnosis, Differential

Objective To investigate the therapeutic efficacy of HLA-genotype matched platelet transfusion using a platelet donor database for severe platelet transfusion refractoriness (PTR) caused by HLA antigen-antibody incompatibility. Methods Using real-time quantitative PCR (qPCR) to identify he patient's HLA class I genotype, followed by searching the platelet donor database for matching donors, and selecting highly compatible donors for transfusion. Platelets with higher compatibility levels were prioritized for transfusion recommendations. Results Among the 19 patients studied, 7 patients identified donors with B2U or higher compatibility, 6 patients identified donors with BX or higher compatibility, and 6 patients did not find a suitable donor. The transfusion efficacy was evaluated by calculating the corrected count increment (CCI) 24 hours post-transfusion, and all transfusions were effective. Conclusion The optimal strategy to prevent and treat patients with severe platelet transfusion refractoriness is to ensure patients receive platelet transfusions that are matched to their HLA genes, and this approach significantly enhances transfusion efficacy.
Humans ; Platelet Transfusion/adverse effects* ; HLA Antigens/immunology* ; Male ; Middle Aged ; Female ; Adult ; Blood Platelets/immunology* ; Aged ; Genotype

Objective To analyze clinical characteristics of patients with neuropsychiatric systemic lupus erythematosus (NPSLE) and to explore the risk factors affecting the occurrence of NPSLE. Methods A total of 63 NPSLE patients and 61 non-NPSLE patients were enrolled. The clinical manifestations and laboratory examination data of the two groups were collected, and the disease characteristics of NPSLE were summarized to analyze the risk factors affecting the occurrence of NPSLE by multivariate Logistic regression. Results The most common clinical manifestations of NPSLE patients were headache (39.7%), affective disorder (33.3%) and cognitive impairment (30.2%), with cranial magnetic resonance abnormalities (63.5%) and a high cerebrospinal fluid protein positive rate (52.4%). Compared with non-NPSLE patients, there were significantly increased levels of Raynaud's phenomenon, renal involvement, anti-RNP antibody, anti-ribosomal P protein, hypocomplementemia, lymphocyte-to-monocyte ratio (LMR) and neutrophil-to-lymphocyte ratio (NLR) in NPSLE patients. Multivariate Logistic regression analysis showed that renal involvement, Raynaud's phenomenon, positive anti-ribosomal P protein antibody, and elevated LMR and NLR were independent risk factors for NPSLE. Conclusion Headache is the most common symptom in patients with NPSLE, and abnormal cranial MRI and cerebrospinal fluid examination are more common. SLE patients who present with renal involvement, Raynaud's phenomenon, positive anti-ribosomal P protein antibodies, and elevated levels of LMR and NLR are more susceptible to developing NPSLE.
Humans ; Lupus Vasculitis, Central Nervous System ; Risk Factors ; Headache ; Antibodies, Antinuclear ; Cognitive Dysfunction

Since the outbreak of corona virus disease 2019 (COVID-19), viral strains have mutated and evolved. Vaccine research is the most direct and effective way to control COVID-19. According to different production mechanisms, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines included inactivated virus vaccine, live attenuated vaccine, mRNA vaccine, DNA vaccine, viral vector vaccine, virus-like particle vaccine and protein subunit vaccine. Among them, viral protein subunit vaccine has a wide application prospect due to its high safety and effectiveness. Viral nucleocapsid protein has high immunogenicity and low variability which could be a new direction for vaccine production. We summarized the current development of vaccine research by reviewing the current progress, vaccine safety and vaccine immune efficiency. It is hoped that the proposed possible development strategies could provide a reference for epidemic prevention work in future.
Humans ; SARS-CoV-2/genetics* ; COVID-19/prevention & control* ; Protein Subunits ; Vaccines, DNA ; Nucleocapsid Proteins

OBJECTIVE: To understand the biological characteristics of polycythemia vera (PV) patients with myeloid fibroplasia, and further analyze the risk factors affecting myeloid fibroplasia in PV patients, so as to provide ideas for predicting the occurrence of myeloid fibroplasia in PV patients. METHODS: Forty patients with PV in the Department of Hematology, Xiyuan Hospital of China Academy of Chinese Medical Sciences were collected and divided into two groups, with (hyperplasia group) and without (Non-proliferative group) hyperplasia of bone marrow fibers. The differences of basic clinical characteristics, blood routine, biochemistry, bone marrow cells, coagulation function and other indicators between the two groups were compared, and the independent risk factors affecting the proliferation of bone marrow fibrous tissue in PV patients were further analyzed by multivariate regression. RESULTS: Compared with Non-proliferative group, the JAK2 mutation rate (95% vs 70%，P=0.037), eosinophilic cell count (0.19 vs 0.11, P=0.047) and eosinophilic percentage (1.84 vs 1.27, P=0.001) in PV patients with hyperplasia were significantly increased, triglycerides (1.55 vs 1.91, P=0.038) and low-density lipoprotein (1.50 vs 3.08, P=0.000) were significantly reduced, bone marrow hematopoietic volume (0.85 vs 0.6, P=0.001), granulocyte/erythrocyte ratio (3.40 vs 1.89, P=0.033), lymphocyte/erythrocyte ratio (0.60 vs 0.42, P=0.033), and granulocyte+lymphocyte/erythrocyte ratio (3.72 vs 2.37, P=0.026) were significantly increased, thrombin time (18.84 vs 18.12, P=0.043) was significantly prolonged. Multivariate regression analysis results showed that peripheral blood eosinophil ≥2% and low-density lipoprotein ≤2 mmol/L were independent risk factors for bone marrow fibrous tissue hyperplasia in PV patients (P<0.05). CONCLUSION Increased proportion of peripheral blood eosinophils and decreased low density lipoprotein are risk factors for bone marrow fibrous tissue hyperplasia in PV patients.
Humans ; Bone Marrow/pathology* ; Polycythemia Vera ; Hyperplasia/pathology* ; Granulocytes/pathology* ; Janus Kinase 2/genetics* ; Risk Factors ; Lipoproteins, LDL ; Polycythemia/pathology*

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 investigate the efficacy and safety of colistin sulfate in the treatment of hematonosis patients infected by multidrug-resistant (MDR) gram-negative bacteria (GNB), and discuss the possible factors that affect the efficacy of colistin sulfate. METHODS: The clinical data of 85 hematologic patients infected with MDR GNB in the Soochow Hopes Hematonosis Hospital from April 2022 to November 2022 were collected and divided into clinically effective group with 71 cases and ineffective group with 14 cases according to the therapeutic efficacy of colistin sulfate. The age, gender, type of hematologic disease, status of hematopoietic stem cell transplantation, infection sites, type of pathogen, timing of administration, daily dose and duration of colistin sulfate, and combination with other antibacterial agents of patients in two groups were compared. Logistic regression was used to analyze on the meaningful variables to study the influencing factors of colistin sulfate. The adverse reactions of colistin sulfate were also evaluated. RESULTS: There were no significant differences in age, gender, type of hematologic disease, hematopoietic stem cell transplantation status, infection sites and pathogen type between the effective group and the ineffective group (P>0.05). Compared with the medication time more than 7 days, meropenem used within 7 days in the clinical effective group, and timely replacement with colistin sulfate could obtain better efficacy, the difference was statistically significant (P=0.018). The duration of tigacycline before colistin sulfate did not affect the efficacy, and there was no significant difference in efficacy between the effective and ineffective groups. The therapeutic effect of colistin sulfate at daily dose of 500 000 U q8h was better than that of 500 000 U q12h, the difference was statistically significant (P=0.035). The time of colistin sulfate use in the clinically effective group was longer than that in the ineffective group, which had a statistical difference (P=0.003). Compared with the clinical ineffective group, the efficacy of combination regimens with colistin sulfate was better than that of colistin sulfate monotherapy, and the difference was statistically significant (P=0.013). Multivariate logistic regression analysis was performed on the indicators with statistical differences in the two groups of patients, which suggested that the use time of colistin sulfate (B: 2.358; OR: 10.573; CI: 1.567-71.361; P=0.015) and the combination of colistin sulfate (B: 1.720; OR: 5.586; CI: 1.210-25.787; P=0.028) were influential factors in the efficacy of colistin sulfate. During the treatment, the incidence of nephrotoxicity, hepatotoxicity and peripheral neurotoxicity were 5.9%, 1.2% and 1.2%, respectively. CONCLUSION The use of colistin sulfate improves the clinical efficacy of MDR GNB infections in hematological patients, and the timing of colistin sulfate administration and the combination of drugs are independent factors affecting its clinical efficacy, and the safety during treatment is high.
Humans ; Colistin/adverse effects* ; Anti-Bacterial Agents/therapeutic use* ; Meropenem/adverse effects* ; Treatment Outcome ; Gram-Negative Bacteria ; Hematologic Diseases