Pediatric acute liver failure (PALF) is a rare and critical clinical syndrome with a poor prognosis. Its etiology is complex, with a significant proportion of cases having remained classified as indeterminate or cryptogenic PALF. With the application of high-throughput sequencing technologies, a spectrum of disorders caused by specific genetic metabolic defects and characterized by stress-sensitive Recurrent acute liver failure (RALF) has been gradually unveiled, collectively termed Infantile liver failure syndrome (ILFS). Although the molecular mechanisms underlying the subtypes ILFS1, ILFS2, and ILFS3 differ by involving aminoacyl-tRNA synthetase defects, vesicular transport disorders, and autophagy abnormalities, respectively, they share a common clinical phenotype of RALF triggered by fever or infection. This article has systematically reviewed the clinical phenotypic spectrum, molecular genetic characteristics, differential diagnosis strategies, and therapeutic advances of the three ILFS subtypes, with the goal of improving early clinical recognition and precise intervention, and providing an important reference for evaluating the prognosis of different subtypes.
Humans ; Liver Failure, Acute/therapy* ; Infant ; Diagnosis, Differential

Atypical hemolytic uremic syndrome (aHUS) is a thrombotic microangiopathy characterized by microangiopathic hemolytic anemia, thrombocytopenia, and multi-organ damage, with the kidneys being predominantly affected. aHUS results from dysregulation of the complement alternative pathway, triggered by factors including infection, pregnancy, and surgery, among others. Therefore, complement inhibitors play a crucial role in the treatment of aHUS by blocking abnormal activation of the complement system and improving patients' prognosis. This consensus, developed by the Multidisciplinary Consensus Working Group on Atypical Hemolytic Uremic Syndrome Diagnosis and Treatment, is based on the latest literature and guidelines, discusses the pathogenesis, diagnosis and differential diagnosis, and treatment strategies for aHUS, and provides a guide and reference for the standardized diagnosis and management of aHUS in China.
Humans ; Atypical Hemolytic Uremic Syndrome/therapy* ; Consensus ; Diagnosis, Differential ; Prognosis

Objective To investigate the value of the novel lymphatic contrast-enhanced ultrasound(LCEUS)and conventional venous contrast-enhanced ultrasound(VCEUS)in the differential diagnosis of benign and malignant cervical lymph nodes in patients with thyroid cancer. Methods Patients with suspected thyroid cancer underwent conventional ultrasound,VCEUS,and LCEUS examinations of cervical lymph nodes before biopsy.The diagnostic abilities of conventional ultrasound,VCEUS,and LCEUS were compared with pathological results as the golden standard. Results Forty-four patients with 52 lymph nodes were included in the final data.Thirty-eight metastatic lymph nodes were confirmed by pathological results,and 14 were benign.The diagnostic sensitivity,specificity,and accuracy were 97.37%,71.43%,and 90.38% for LCEUS,92.11%,35.71%,and 76.92% for VCEUS,and 94.74%,21.43%,and 75.00% for conventional ultrasound,respectively.The area under the curve of LCEUS analyzed by the receiver operating characteristic curve was greater than that of VCEUS(P=0.020)and conventional ultrasound(P<0.001). Conclusion LCEUS could significantly improve the differential diagnosis of cervical lymph node metastasis in the patients with thyroid cancer,providing a basis for precise clinical treatment.
Humans ; Thyroid Neoplasms/diagnostic imaging* ; Lymphatic Metastasis/diagnostic imaging* ; Diagnosis, Differential ; Female ; Male ; Middle Aged ; Ultrasonography ; Adult ; Lymph Nodes/pathology* ; Contrast Media ; Neck ; Aged ; Young Adult ; Adolescent ; Sensitivity and Specificity

Sigmoid colon schwannoma is a rare benign gastrointestinal tumor that is challenging to be diagnosed preoperatively.This paper reported a case of sigmoid colon schwannoma that was preoperatively misdiagnosed as a gastrointestinal stromal tumor on ultrasonography.Intraoperative frozen section analysis identified it as a spindle cell tumor,with definitive diagnosis confirmed as gastrointestinal schwannoma via immunohistochemistry.This paper summarizes the similarities and differentiating features of intestinal stromal tumors and schwannomas on ultrasonographic imaging.By analyzing and discussing previous literature,we aim to enhance the diagnostic and differential diagnostic capabilities of ultrasonographers in preoperative evaluation of intestinal schwannomas,thereby providing reliable evidence for clinicians in the diagnosis and management of this condition.
Humans ; Neurilemmoma/diagnostic imaging* ; Ultrasonography ; Sigmoid Neoplasms/diagnostic imaging* ; Male ; Colon, Sigmoid/diagnostic imaging* ; Middle Aged ; Female ; Diagnosis, Differential

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

Male infertility has seen an increase in prevalence with cases of azoospermia estimated to affect 10%-15% of infertile men. Confirmation of azoospermia subsequently necessitates an early causal differentiation between obstructive azoospermia (OA) and nonobstructive azoospermia (NOA). Although less common when compared to NOA, OA can represent upward 20%-40% of cases of azoospermia. While there are a multitude of etiologies responsible for causing NOA and OA, correctly distinguishing between the two types of azoospermia has profound implications in managing the infertile male. This review represents an amalgamation of the current guidelines and literature which will supply the reproductive physician with a diagnostic armamentarium to properly distinguish between NOA and OA, therefore providing the best possible care to the infertile couple.
Humans ; Azoospermia/etiology* ; Male ; Diagnosis, Differential ; Infertility, Male/etiology*

OBJECTIVES: To investigate the clinical and immunological features of children with primary immune thrombocytopenia (pITP) or connective tissue disease (CTD) with thrombocytopenia as the initial manifestation at initial diagnosis, and to provide a basis for early differentiation. METHODS: A retrospective study was performed on 236 children with pITP (pITP group) or CTD with thrombocytopenia as the initial manifestation (CTD-TP group) who were admitted from January 2019 to August 2024. Clinical and immunological indicators were compared between the two groups to identify potential influencing factors for early differentiation and their discriminative validity. RESULTS: Compared with the pITP group, the CTD-TP group had a significantly older age of onset and significantly lower leukocyte count, eosinophil count, lymphocyte count, and complement C4 level (P<0.05), as well as significantly higher levels of C-reactive protein, IgE, and IgM (P<0.05). The logistic regression analysis showed that age, IgE, IgM, total B cells, and complement C4 were predictive factors for early differentiation between pITP and CTD-TP (P<0.05). The receiver operating characteristic curve analysis showed that a combination of these five factors had a good discriminative validity, with an area under the curve of 0.944. The correlation analysis showed a negative correlation between IgG and platelet count in the pITP group (r_s=-0.363, P<0.05) and a positive correlation between NK cells and platelet count in the CTD-TP group (r_s=0.713, P<0.05). CONCLUSIONS There is heterogeneity in the clinical and immunological indicators between children with pITP and CTD-TP at initial diagnosis, and these research findings can help with the early differentiation between the two diseases.
Purpura, Thrombocytopenic, Idiopathic/immunology* ; Diagnosis, Differential ; Connective Tissue Diseases/immunology* ; Retrospective Studies ; Early Diagnosis ; Age of Onset ; Leukocyte Count ; Complement C4/immunology* ; C-Reactive Protein/immunology* ; Immunoglobulin E/immunology* ; Immunoglobulin M/immunology* ; Humans ; Male ; Female ; Infant ; Child, Preschool ; Child ; Adolescent ; Biomarkers/blood*

OBJECTIVE: To analyze the clinical features and laboratory characteristics of patients with cold agglutinin disease (CAD)/cold agglutinin syndrome (CAS) who were positive for acidified-serum lysis test (Ham test), and to compare them with Ham test negative CAD/CAS patients and paroxysmal nocturnal hemoglobinuria (PNH) patients, in order to provide references for the differential diagnosis of these diseases. METHODS: 53 patients diagnosed with CAD/CAS and 67 patients diagnosed with classic PNH in our hospital from January 2015 to December 2020 were retrospectively analyzed. The patients were grouped according to clinical diagnosis and results of cold agglutinin test (CAT), direct antiglobulin test (DAT), Ham test and PNH clone detection. The clinical and laboratory characteristics of each group were compared. RESULTS: The patients were grouped as follows: Ham^- CAD/CAS group, CAD/CAS patients negative for Ham test (n=36); Ham⁺ CAD/CAS group, CAD/CAS patients positive for Ham test (n=17); classic PNH group (n=67). Compared with the classic PNH group, the Ham⁺ CAD/CAS group had a higher median age (P =0.024), weaker positivity of Ham test, higher positive rates of CAT and DAT, and lower positive rate of PNH clone detection (all P <0.001). The proportions of patients with splenomegaly and cyanosis in Ham⁺ CAD/CAS group were significantly higher than those in classic PNH group (P =0.002 and P <0.001). Ham⁺ CAD/CAS group displayed lower red blood cell count (RBC) and lactate dehydrogenase (LDH) level (P =0.007 and P <0.001), and higher mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), and indirect bilirubin (IBIL) level (P =0.003, P =0.004 and P =0.006) than those in classic PNH group. The levels of serum complement C3 and C4 in Ham⁺ CAD/CAS group were lower than those in classic PNH group (P =0.001 and P <0.001). The positive rate of urinary occult blood in Ham⁺ CAD/CAS group was lower than that in classic PNH group (P =0.010). The clinical and laboratory characteristics of Ham⁺ CAD/CAS group were similar to those of Ham^- CAD/CAS group, except for median age, hemoglobin (Hb), MCHC, mean corpuscular volume (MCV), reticulocyte ratio (Ret), Ham test results, DAT positive types, and proportion of splenomegaly. CONCLUSION Some clinical features and laboratory indicators of CAD/CAS patients with positive results of Ham test are different from those of classic PNH patients, but relatively similar to those of CAD/CAS patients with negative results of Ham test. These results may provide a reference for differential diagnosis of related diseases.
Humans ; Anemia, Hemolytic, Autoimmune/blood* ; Retrospective Studies ; Hemoglobinuria, Paroxysmal/diagnosis* ; Female ; Male ; Coombs Test ; Diagnosis, Differential ; Middle Aged ; Adult

OBJECTIVE: To explore the application value of joint detection of serum neutrophil-to-lymphocyte ratio (NLR), prostate-specific antigen (PSA) and MMP26 in differentiating prostate cancer (PCa) from benign prostatic hyperplasia (BPH). METHODS: A total of 61 PCa patients (PCa group) and 63 BPH patients (BPH group) who were treated in The Affiliated Huaian Hospital of Xuzhou Medical University from May 2022 to May 2024 were retrospectively included. The relevant clinical data of all subjects were collected with the serum NLR, PSA and MMP26 levels being detected. Multivariate logistic regression analysis was used to analyze the influencing factors in differentiating PCa from BPH. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value of serum NLR, PSA and MMP26 in differentiating PCa from BPH. RESULTS: The levels of TC and LDL-C in the PCa group were higher than those in the BPH group. And the level of HDL-C in the PCa group was lower than that in the BPH group (P<0.05). The serum levels of NLR, PSA and MMP26 in the PCa group were higher than those in the BPH group (P<0.05). The results of multivariate logistic regression analysis showed that NLR, PSA and MMP26 were risk factors for the diagnosis of PCa in patients (P<0.05). The ROC results showed that the area under the curve (AUC) of NLR, PSA MMP26 and joint diagnosis in the identification of PCa was 0.804, 0.800, 0.809 and 0.905, respectively. The comparison results of AUC showed that the joint diagnosis was superior to the single diagnosis (Z=2.262, 2.177, 2.002, P<0.05). CONCLUSION The joint detection of serum NLR, PSA and MMP26 has significant application value in the differentiation of PCa and BPH, which is expected to become an effective tool for early screening and diagnosis of PCa.
Humans ; Male ; Prostatic Hyperplasia/blood* ; Prostate-Specific Antigen/blood* ; Diagnosis, Differential ; Prostatic Neoplasms/blood* ; Retrospective Studies ; Neutrophils ; Lymphocytes ; ROC Curve ; Aged ; Middle Aged

OBJECTIVES: In recent years, the incidence and detection rate of pancreatic cystic lesions (PCLs) have increased significantly. Endoscopic ultrasound (EUS) plays an indispensable role in the diagnosis and differential diagnosis of PCLs. However, evidence comparing the diagnostic performance of EUS-guided fine-needle aspiration (EUS-FNA) and fine-needle biopsy (FNB) remains limited. This study aims to compare the diagnostic yield, adequacy of tissue acquisition, and safety between EUS-FNA and EUS-FNB in evaluating PCLs to inform clinical practice. METHODS: A retrospective review was conducted on patients with PCLs who underwent either EUS-FNA or EUS-FNB between January 2014 and August 2021. The diagnostic yield, tissue acquisition adequacy, and incidence of adverse events were compared between the 2 groups. RESULTS: A total of 90 patients with PCLs were included (52 in the FNA group and 38 in the FNB group). The diagnostic yield was similar between the FNA and FNB groups (94.2% vs 94.7%, P>0.05). The adequacy of tissue acquisition was 71.2% in the FNA group and 81.6% in the FNB group (P>0.05). No statistically significant difference was observed in the incidence of adverse events between the 2 groups (P>0.05). CONCLUSIONS Both EUS-FNA and EUS-FNB demonstrate equally high diagnostic yields and tissue adequacy in PCLs, with excellent safety profiles. Both methods are safe and effective diagnostic tools for evaluating PCLs.
Humans ; Endoscopic Ultrasound-Guided Fine Needle Aspiration/adverse effects* ; Retrospective Studies ; Female ; Male ; Pancreatic Cyst/diagnostic imaging* ; Middle Aged ; Biopsy, Fine-Needle/adverse effects* ; Aged ; Pancreatic Neoplasms/diagnosis* ; Adult ; Endosonography/methods* ; Pancreas/pathology* ; Diagnosis, Differential