Clinical Laboratory Indicators Research Articles

Clinical characteristics of hemophagocytic lymphohistiocytosis.

There is no specificity in the clinical presentation of hemophagocytic lymphohistiocytosis (HLH). To study some clinical, etiological, and prognostic features of HLH to improve the clinical understanding of the disease. Retrospective analysis of the clinical data of 125 patients with HLH admitted to our hospital from June 2015 to August 2021, including clinical characteristics, laboratory indicators, and survival period. Statistical analysis was performed from the overall group of study indicators, which included population, children, and adults. In the whole population, sex, age, blood myoglobin, and NK cell ratio of M-HLH and non-M-HLH patients (P< 0.05), serum albumin, and direct bilirubin were independent correlates of M-HLH. In the pediatric group, age and the proportion of NK cells were significantly different between M-HLH and non-M-HLH patients (P< 0.05). Multivariate Logistic regression analysis showed that all factors were not significantly associated with M-HLH. The associated regression analysis showed that all factors were not significantly associated with M-HLH. ROC curve analysis showed that the best predictive value of NK cell percentage for M-HLH diagnosis in the overall population was 4.96% in the pediatric group and 4.96% in the adult group. The best predictive value for M-HLH diagnosis was 2.08%. The univariate analysis showed that platelet count, alanine aminotransferase, aspartate aminotransferase, serum albumin, direct bilirubin and indirect bilirubin affected prognosis; COX regression showed that none of these factors had a significant relationship. The overall median survival time was 20.7 months in the adult group, 44.3 months in non-M-HLH patients, and 7.73 months in M-HLH patients (p= 0.011); univariate analysis showed that platelet count and serum albumin level affected prognosis; COX regression results in serum albumin level was an independent risk factor for prognosis. The survival rate of non-M-HLH was significantly better than that of M-HLH; the proportion of NK cells had predictive value for the diagnosis of M-HLH; in the general population, non-M-HLH was more likely to have abnormal liver function than M-HLH: lower platelet count and serum albumin level were associated with poor prognosis, and the lower the platelet count and serum albumin level, the worse the prognosis: in addition, adults with lower serum albumin levels are also associated with poor prognosis.

Predictive value of bilirubin and serum γ-glutamyltranspeptidase levels in type-2 diabetes mellitus patients with acute coronary syndrome.

Cardiovascular disease is a major complication of diabetes mellitus (DM). Type-2 DM (T2DM) is associated with an increased risk of cardiovascular events and mortality, while serum biomarkers may facilitate the prediction of these outcomes. Early differential diagnosis of T2DM complicated with acute coronary syndrome (ACS) plays an important role in controlling disease progression and improving safety. To investigate the correlation of serum bilirubin and γ-glutamyltranspeptidase (γ-GGT) with major adverse cardiovascular events (MACEs) in T2DM patients with ACS. The clinical data of inpatients from January 2022 to December 2022 were analyzed retrospectively. According to different conditions, they were divided into the T2DM complicated with ACS group (T2DM + ACS, n = 96), simple T2DM group (T2DM, n = 85), and simple ACS group (ACS, n = 90). The clinical data and laboratory indices were compared among the three groups, and the correlations of serum total bilirubin (TBIL) levels and serum γ-GGT levels with other indices were discussed. T2DM + ACS patients received a 90-day follow-up after discharge and were divided into event (n = 15) and nonevent (n = 81) groups according to the occurrence of MACEs; Univariate and multivariate analyses were further used to screen the independent influencing factors of MACEs in patients. The T2DM + ACS group showed higher γ-GGT, total cholesterol, low-density lipoprotein cholesterol (LDL-C) and glycosylated hemoglobin (HbA1c) and lower TBIL and high-density lipoprotein cholesterol levels than the T2DM and ACS groups (P < 0.05). Based on univariate analysis, the event and nonevent groups were significantly different in age (t = 3.3612, P = 0.0011), TBIL level (t = 3.0742, P = 0.0028), γ-GGT level (t = 2.6887, P = 0.0085), LDL-C level (t = 2.0816, P = 0.0401), HbA1c level (t = 2.7862, P = 0.0065) and left ventricular ejection fraction (LEVF) levels (t=3.2047, P = 0.0018). Multivariate logistic regression analysis further identified that TBIL level and LEVF level were protective factor for MACEs, and age and γ-GGT level were risk factors (P < 0.05). Serum TBIL levels are decreased and γ-GGT levels are increased in T2DM + ACS patients, and the two indices are significantly negatively correlated. TBIL and γ-GGT are independent influencing factors for MACEs in such patients.

Treatment of gouty arthritis with traditional Chinese medicine decoction: Meta-analysis, network pharmacology analysis, and molecular docking.

Previous studies have shown that traditional Chinese medicine decoction (TCMD) could ameliorate the clinical symptoms and laboratory indicators of gouty arthritis (GA) patients. However, few investigations have been conducted on the efficacy and safety of TCMD for GA, the underlying mechanism of TCMD for GA, and the relationship between the TCMD active ingredients and GA targets. Randomized controlled trials of TCMD for GA were retrieved from Chinese and English databases. Meta-analysis was conducted by Stata 17 software. Potential sources of heterogeneity were identified through subgroup analysis, meta-regression, and heterogeneity test. Publication bias was assessed by Egger's test and funnel plots. The ingredients and targets related to TCMD and GA were obtained from multiple databases, such as TCMSP and DrugBank. The protein-protein interaction network, GO and KEGG analysis was constructed using STRING and DAVID. Molecular docking and visualization of the results were completed by AutoDock and PyMOL software. Eighty-four studies were included, involving 7151 patients and 10 outcome indicators. Meta-analysis showed that, compared to routine treatment, TCMD could better reduce the incidence of adverse events and the level of laboratory indicators including blood uric acid (BUA), C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), interleukin 6 (IL-6), interleukin 8 (IL-8), interleukin 1β (IL-1β), and tumor necrosis factor-α (TNF-α). In the section of network pharmacology, we retrieved 150 active ingredients and 303 target genes from the top 10 herbs in 84 studies, as well as 3082 disease targets and 195 cross targets of the herbs and GA. The top ranked ingredients, intersection targets, and signaling pathways included quercetin, kaempferol, and wogonin; AKT1, TNF, and TP53; as well as IL-17, HIF-1, and PI3K-AKT, etc. Among the 81 molecular docking results, we visualized 10 results with low binding energy, including IL1B and beta-sitosterol, MYC and beta-sitosterol, etc. TCMD could be a satisfactory complementary and alternative therapy for GA. However, it should be verified by further studies. Future research could be conducted from the following active ingredients, targets, and signal pathways, such as wogonin, sitosterol, and sitosterol; AKT1, TNF, IL6, and TP53; and IL-17, HIF-1, and PI3K-AKT signaling pathway.

Identification of symptomatic carotid artery plaque: a predictive model combining angiography with optical coherence tomography.

Symptomatic carotid artery disease is indicative of an elevated likelihood of experiencing a subsequent stroke, with the morphology of plaque and its specific features being closely linked to the risk of stroke occurrence. Our study based on the characteristics of carotid plaque assessed by optical coherence tomography (OCT), the plaque morphology evaluated by digital subtraction angiography (DSA) and clinical laboratory indicators were combined, develop a combined predictive model to identify symptomatic carotid plaque. Patients diagnosed with carotid atherosclerotic stenosis who underwent whole-brain DSA and OCT examination at the Affiliated Hospital of Jining Medical University from January 2021 to November 2023 were evaluated. Clinical features, as well as DSA and OCT plaque characteristics, were analyzed for differences between symptomatic and asymptomatic cohorts. An analysis of logistic regression was carried out to identify factors associated with the presence of symptomatic carotid plaque. A multivariate binary logistic regression equation was established with the odds ratio (OR) serving as the risk assessment parameter. The receiver operating characteristic curve was utilized to assess the combined predictive model and independent influencing factors. A total of 52 patients were included in the study (symptomatic: 44.2%, asymptomatic: 55.8%). Symptomatic carotid stenosis was significantly linked to four main factors: low-density lipoprotein-cholesterol >3.36 mmol/L [OR, 6.400; 95% confidence interval (CI), 1.067-38.402; p = 0.042], irregular plaque (OR, 6.054; 95% CI, 1.016-36.083; p = 0.048), ruptured plaque (OR, 6.077; 95% CI, 1.046-35.298; p = 0.048), and thrombus (OR, 6.773; 95% CI, 1.194-38.433; p = 0.044). The combined predictive model generated using four indicators showed good discrimination (Area Under Curve, 0.924; 95% CI, 0.815-0. 979). The p value was <0.05 with 78.26% sensitivity and 93.10% specificity. OCT is valuable in evaluating the plaque characteristics of carotid atherosclerotic stenosis. The combined predictive model comprising low-density lipoprotein-cholesterol >3.36 mmol/L, irregular plaque, ruptured plaque, and thrombus could help in the detection of symptomatic carotid plaque. Further research conducted on additional independent cohorts is necessary to confirm the clinical significance of the predictive model for symptomatic carotid plaque.

Association of Ejection Fraction with Reperfusion Parameters Before and After Primary Percutaneous Coronary Intervention

Background: Resolution of ST-segment (STR) and thrombolysis in myocardial infarction (TIMI) and frame count (TFC) are useful parameters to evaluate the reperfusion status following primary percutaneous coronary intervention (PPCI) in ST-elevation myocardial infarction (STEMI) patients. Objectives: Here, the association of ejection fraction (EF), as a parameter of systolic function, with TFC and STR was assessed in patients with STEMI who underwent PPCI. Methods: Ejection fraction was evaluated by transthoracic echocardiography using Simpson’s biplane method before PPCI in the first 24 hours after the admission of STEMI patients. Also, STR and TFC were assessed in all patients after PPCI. Then, the association of EF with STR and TFC was examined before and after the operation. Results: STEMI patients with STR less or greater than 50% were comparable in terms of clinical and demographic characteristics and laboratory indices. Our results showed a weak inverse correlation between EF before PPCI and TFC (r = -0.2336, P = 0.0002). However, there was a strong inverse correlation between EF after PPCI and TFC (P &lt; 0.0001, r = -0.3137). The results of correlation analysis showed that the mean EF (pre- and post-PPCI) was significantly higher in patients with STR of ≥50% compared to those with STR &lt; 50%. Conclusions: The results of this study showed that EF after PPCI, as an echocardiographic indicator, could reflect the status of cardiac and microvascular perfusion. We also found that cardiac status on ECG could better reflect EF.

Effect of the degree of follicular diameter ≥18mm differentiation on the day of hCG administration to the outcome of controlled ovarian hyperstimulation (COH).

To explore the impact of the level of differentiation in a minimum of two follicles with a diameter of ≥18 mm on the outcome of controlled ovarian hyperstimulation on the day of human chorionic gonadotropin (hCG) administration. Single-center data from January 2018 to December 2021 was retrospectively analyzed for 1,199 patients with fresh embryo transfer for assisted reproduction. The absolute value of the standard deviation of the follicle size of at least 2 follicles ≥18 mm in diameter in both ovaries on the day of hCG was taken as the degree of differentiation of the dominant follicle after ovulation induction, based on the standard deviation response to the degree of dispersion of the data. The degree of follicular differentiation was divided into 3 groups according to the size of the value, and the general clinical conditions, laboratory indexes, and clinical outcomes of the patients in the 3 groups were compared. Among the three groups, the body mass index (BMI) of the ≤1s group was lower than that of the other two groups (P< 0.05), while the follicle-stimulating hormone (FSH) and Anti-Mullerian hormone (AMH) were higher (P< 0.05), and the implantation rate and clinical pregnancy rate were significantly higher than those of the other two groups (P< 0.01). After multifactorial logistic regression to correct for confounding factors, with the ≤1s group as the reference, the implantation rate, hCG-positive rate, clinical pregnancy rate and live birth rate of embryo transfer in the ≥2S group were significantly lower (P< 0.01). The results of curve fitting analysis showed that the live birth rate decreased gradually with the increase of the absolute standard deviation (P=0.0079). Differences in follicle diameters ≥18 mm on the day of hCG injection did not have an impact on embryo quality, but had an impact on pregnancy outcomes. The less the variation in follicle size, the more homogeneous the follicle development and the higher the likelihood of live births.

Clinical and radiological differentiation between Trousseau syndrome and cardiogenic embolism: a retrospective case-control study.

Trousseau syndrome (TS) is a thromboembolic event in cancer patients caused by abnormalities in coagulation and fibrinolytic mechanisms. Acute multiple cerebral infarction (AMCI) is a rare form of TS. This study aimed to discuss the differentiation of clinical and radiographic characteristics between TS and cardiogenic embolism (CE) with AMCI as the main manifestation. We retrospectively analyzed 69 patients with TS-AMCI and 105 patients with CE-AMCI who were treated at Shandong Provincial Hospital between August 2018 and October 2022. The clinical baseline data, laboratory indices, and imaging characteristics of the two groups were compared. A logistic regression was used to analyze the risk factors of TS-AMCI, and receiver operating characteristic (ROC) curves were used to analyze the predictive value of the risk factors. In relation to the clinical data, there were statistically significant differences between the two groups of patients in terms of the lipid and coagulation indices. D-dimer [odds ratio (OR) =4.459, 95% confidence interval (CI): 1.871-10.625; P=0.001] and triglyceride (OR =6.001, 95% CI: 2.375-15.165; P<0.001) were independent risk factors for TS-AMCI. In relation to the radiographic characteristics, the infarctions in the TS-AMCI group were widely distributed in multiple arterial supply areas [23 (33.3%) vs. 10 (9.5%); P<0.001]. More importantly, bilateral anterior + posterior circulation was also an independent risk factor for TS-AMCI (OR =15.005, 95% CI: 1.757-128.17; P=0.013). Unexplained AMCI in the cancer-prone age group, abnormalities in the lipid and D-dimer levels, and infarction foci involving multiple arterial blood supply areas suggested a high probability of TS.

The application of predictive value of diabetes autoantibody profile combined with clinical data and routine laboratory indexes in the classification of diabetes mellitus.

Currently, distinct use of clinical data, routine laboratory indicators or the detection of diabetic autoantibodies in the diagnosis and management of diabetes mellitus is limited. Hence, this study was aimed to screen the indicators, and to establish and validate a multifactorial logistic regression model nomogram for the non-invasive differential prediction of type 1 diabetes mellitus. Clinical data, routine laboratory indicators, and diabetes autoantibody profiles of diabetic patients admitted between September 2018 and December 2022 were retrospectively analyzed. Logistic regression was used to select the independent influencing factors, and a prediction nomogram based on the multiple logistic regression model was constructed using these independent factors. Moreover, the predictive accuracy and clinical application value of the nomogram were evaluated using Receiver Operating Characteristic (ROC) curves, calibration curves, decision curve analysis (DCA), and clinical impact curves (CIC). A total of 522 diabetic patients were included in this study. These patients were randomized into training and validation sets in a 7:3 ratio. The predictors screened included age, prealbumin (PA), high-density lipoprotein cholesterol (HDL-C), islet cells autoantibodies (ICA), islets antigen 2 autoantibodies (IA-2A), glutamic acid decarboxylase antibody (GADA), and C-peptide levels. Based on these factors, a multivariate model nomogram was constructed, which had an Area Under Curve (AUC) of 0.966 and 0.961 for the training set and validation set, respectively. Subsequently, the calibration curves demonstrated a strong accuracy of the graph; the DCA and CIC results indicated that the graph could be used as a non-invasive valid predictive tool for the differential diagnosis of type 1 diabetes mellitus, clinically. The established prediction model combining patient's age, PA, HDL-C, ICA, IA-2A, GADA, and C-peptide can assist in differential diagnosis of type 1 diabetes mellitus and type 2 diabetes mellitus and provides a basis for the clinical as well as therapeutic management of the disease.

Comparison of Short-Term Therapeutic Effects between Amoxicillin-Clavulanic Acid and Ceftriaxone Sodium on Febrile Urinary Tract Infections in Children under Five Years Old.

Febrile urinary tract infections in children are typically treated with a standard 10-day course of antibiotics. However, prolonged antibiotic use can lead to increased bacterial resistance, underscoring the need to explore shorter treatment regimens. This study aimed to compare the short-term therapeutic effects of amoxicillin-clavulanic acid and ceftriaxone sodium in children under five years old with febrile urinary tract infections. Clinical data from 109 children under five years old diagnosed with febrile urinary tract infections between August 2022 and December 2023 were retrospectively analyzed. Among them, 52 children received ceftriaxone sodium (group A), and 48 children received amoxicillin-clavulanic acid (group B). Clinical symptoms, laboratory indicators, clinical efficacy, and adverse reactions were compared between the two groups. Children from group B showed significantly shorter improvement times for fever, dysuria, and urinary frequency compared to those in group A (p < 0.05). Initially, there were no significant differences in the levels of white blood cell counts, squamous epithelial cells, bacteria, interleukin-6, interleukin-8, and neutrophil gelatinase-associated lipocalin between the two groups (p > 0.05). However, after treatment, group B exhibited significantly lower levels of white blood cell counts, squamous epithelial cells, bacteria, interleukin-6, interleukin-8, and neutrophil gelatinase-associated lipocalin compared to group A (p < 0.05). Moreover, the total effective rate was significantly higher in group B (95.83%) than in group A (80.77%) (p < 0.05). There was no significant difference in the incidence of adverse reactions between groups B (10.42%) and A (13.45%) (p > 0.05). Amoxicillin-clavulanic acid demonstrated superior short-term therapeutic efficacy for febrile urinary tract infections in children under five years old compared to ceftriaxone sodium. It effectively reduced cure times, mitigated inflammatory responses, and improved treatment outcomes, suggesting its potential for broader clinical application and adoption.

Predicting epithelial ovarian cancer prognosis: correlation of posttreatment 18F-fluorodeoxyglucose positron emission tomography-computed tomography metabolic parameters, serum carbohydrate antigen, and human epididymis protein levels with overall survival.

Identifying reliable prognostic indicators can aid in improving patient care. The aim of this study was to establish the association of 18F-fluorodeoxyglucose positron emission tomography-computed tomography (18F-FDG PET/CT) whole-body metabolic parameters, serum carbohydrate antigen 125 (CA125), and human epididymis protein 4 (HE4) with overall survival (OS) in patients with epithelial ovarian cancer (EOC) after surgery combined with platinum-based chemotherapy. From May 2014 to May 2019, a total of 79 patients with EOC who underwent posttreatment 18F-FDG PET/CT in the First Affiliated Hospital of Chongqing Medical University were included. Clinical data and laboratory indicators were obtained. The whole-body maximum standardized uptake value (WBSUVmax), whole-body metabolic tumor volume (WBMTV), and whole-body total lesion glycolysis (WBTLG) were measured and calculated on 18F-FDG PET/CT. The follow-up was conducted until February 2023, and the endpoint was death from any cause. Pearson correlation analysis, Kaplan-Meier, and Cox proportional regression were used in this study. The PET-positive (PET-P) patients had significantly decreased OS based on either Kaplan-Meier survival analysis (P<0.001) or univariate Cox regression analysis [hazard ratio (HR) =40.177, 95% confidence interval (CI): 2.690-600.134; P=0.007]. "Ln" is a logarithmic transformation with a base of "e" (natural logarithm). LnWBMTV, lnWBTLG, and therapy after PET were independent predictors of OS in a cohort of 63 PET-P patients. The difference in OS between groups sorted by the median WBMTV (4.16; P<0.001) and WBTLG (14.71; P<0.001) was statistically significant. There were statistically significant differences in CA125 and HE4 levels between patients in the PET-P and PET-negative (PET-N) groups (P<0.001). In the PET-P patient cohort, serum HE4 levels were substantially correlated with WBMTV and WBTLG. Kaplan-Meier survival analysis suggested a reduction in OS after treatment in patients with EOC positive for CA125, HE4, and PET (P<0.001). Post-PET/CT treatment strategy, WBMTV, and WBTLG demonstrated significant prognostic utility in predicting posttreatment OS in patients with EOC. Patients who tested positive for both tumor markers CA125 and HE4 and had a positive PET scan demonstrated a significantly poorer prognosis in terms of posttreatment OS.

Association Analysis Between Maternal Neutrophil Ratio and the Risk of Histological Chorioamnionitis in Pregnant Women with Premature Rupture of Membranes in Late Pregnancy.

We aimed to investigate the association between maternal neutrophil ratio and histological chorioamnionitis (HCA) risk in pregnant women with premature rupture of membranes (PROM) in late pregnancy. A retrospective analysis was conducted on 95 cases of women with PROM in their late pregnancy between March 2018 and August 2021. These women were divided into two groups based on the presence of HCA. General clinical data and laboratory indicators were compared between the two groups. A generalized additive model was used for curve fitting, and a segmented regression model was used to explain further the non-linear relationship between neutrophil ratio and HCA risk. After adjusting for confounding factors, the curve fitting showed a "U"-shaped curve relationship between the neutrophil ratio and the risk of HCA. When the neutrophil ratio was <76.3%, the risk of HCA exhibited a decreasing trend, but the difference was not statistically significant (adjusted OR = 0.884, 95% CI: 0.781-1.001, P = 0.053). However, when the neutrophil ratio was >76.3%, the HCA risk was significantly increased (adjusted OR = 1.339, 95% CI: 1.067-1.680, P = 0.012). Furthermore, we equally divided the neutrophil ratio into three groups. The risk of HCA was significantly increased in the low-ratio group (OR = 4.292, 95% CI: 1.247-14.706, P = 0.021) compared with the middle-ratio group, which was used as the reference group. Similarly, the HCA risk of the high-ratio group (OR = 13.145, 95% CI: 1.796-96.233, P = 0.011) was also significantly enhanced. However, there was no significant difference in HCA risk between the high-ratio and low-ratio groups (OR = 1.182, 95% CI: 0.357-3.909, P = 0.784). There was a significant "U"-shaped relationship between maternal neutrophil ratio and HCA risk in women with PROM in late pregnancy.

Pathogenic Profile Characteristics and Clinical Risk Factor Analysis of Patients Who Died from Sepsis Combined with Pulmonary Infection by Metagenomic Next-Generation Sequencing.

Sepsis is one of the major diseases that seriously threatens human health, and its incidence and in-hospital morbidity and mortality rates remain high. Applying metagenomic next-generation sequencing (mNGS) technology to analyze the differences in pathogenic profiles and clinical factors in patients surviving and dying from sepsis combined with pulmonary infections provides diagnostic value and application for clinical purposes. Sixty-three BALF samples from patients with sepsis combined with pulmonary infection from Fuqing Hospital Affiliated to Fujian Medical University were collected, and all of them were tested by simultaneous mNGS and conventional microbial combined test (CMT) to compare the pathogenic profiles and clinical indices of patients who survived and died of sepsis combined with pulmonary infection and to further compare the diagnostic differences between mNGS and CMT in patients who survived and died of sepsis combined with pulmonary infection. We analyzed the diagnostic value of mNGS for sepsis combined with pulmonary infection. A total of 141 strains of pathogens were isolated from 63 samples of patients with sepsis combined with pneumonia at suspected infection sites, Klebsiella pneumoniae, Acinetobacter baumannii, and Stenotrophomonas maltophilia are predominant, and higher ApacheII, LAC, P and PT are all risk factors affecting the death of septic patients. Applying the mNGS method to patients with sepsis combined with pneumonia can improve the positive detection rate of pathogenic microorganisms and focus on death-related risk factors such as pathogenic bacteria species as well as clinical laboratory indices, which can guide clinicians to take appropriate measures to treat patients with sepsis and reduce the occurrence of death.

Chest imaging classification in Mycoplasma pneumoniae pneumonia is associated with its clinical features and outcomes

BackgroundThe imaging findings of Mycoplasma pneumoniae pneumonia (MPP) vary; however, few studies have focused on the relationship of imaging classification with clinical manifestations and outcomes. ObjectiveTo prospectively investigate whether chest imaging classification in Mycoplasma pneumoniae pneumonia (MPP) is associated with its clinical features and outcomes. MethodsA total of 1,401 hospitalized children with MPP were enrolled from January 2019 to December 2021. Imaging findings were categorized as bronchopneumonia and consolidation/atelectasis according to X-ray, and bronchopneumonia, consolidation/atelectasis, bronchiolitis, and mosaic pattern according to computed tomography (CT). Clinical characteristics and outcomes of patients with different imaging classifications were prospectively analyzed based on electronic medical records. ResultsBronchopneumonia was the most common finding (59.6%), while consolidation/atelectasis was the most severe group. Clinical manifestations and laboratory indicators for the consolidation/atelectasis group included serious abnormalities. Further, outcomes of the patients were worse, including having longer total durations of fever and hospitalization, greater hospitalization expenses, and a higher likelihood of developing refractory MPP, necrotizing pneumonia, and bronchiolitis obliterans (BO) in this group. The incidence of bronchiolitis, a disease characterized by a high prevalence of fever, moist rales, and an atopic constitution, tended to increase after the coronavirus disease pandemic and predisposed patients to BO. A mosaic pattern occurred in allergic and young individuals, with wheezing as the main manifestation, with patients having relatively mild symptoms and good outcomes. ConclusionDifferent imaging classifications have different clinical features and clinical outcomes; thus, formulating an imaging-based classification system is of great clinical value.

The pathogenic and clinical characteristics of severe fever with thrombocytopenia syndrome patients with co-infections.

The study aimed to comprehensively describe and evaluate the pathogenic and clinical characteristics of severe fever with thrombocytopenia syndrome (SFTS) patients with co-infections. We retrospectively collected clinical data and laboratory indicators of the SFTS patients at Tongji Hospital from October 2021 to July 2023. A total of 157 patients with SFTS virus (SFTSV) infection were involved in the analysis, including 43 co-infection and 114 non-co-infection patients. The pathogens responsible for co-infection were primarily isolated from respiratory specimens. Fungal infections, primarily Aspergillus fumigatus, were observed in 22 cases. Bacterial infections, with Klebsiella pneumoniae and carbapenem-resistant Acinetobacter baumannii as the main pathogens, were identified in 20 cases. SFTS patients with co-infection exhibited higher mortality (P=0.011) compared to non-co-infection patients. Among SFTS patients co-infected with both bacteria and fungi (8 cases) or specific drug-resistant strains (11 cases), the mortality rate was as high as 70% (14/19). In comparison with the non-co-infection group, SFTS patients with co-infection displayed significant alteration in inflammatory markers, coagulation function, and liver function indicators. The mortality rate of SFTS patients with co-infection is relatively high, underscoring the need for enhanced monitoring and timely, appropriate treatment to minimize the mortality rate.

Analysis of Influencing Factors of Positive Antiplatelet Antibody in Patients with Diffuse Large B-Cell Lymphoma

Background Diffuse large B-cell lymphoma (DLBCL) is a common malignant tumor of the hematological system. Chemotherapy is the main treatment. As a cytotoxic drug, chemotherapeutic drugs can lead to thrombocytopenia, increase the risk of bleeding and require platelet transfusion if necessary. Since platelet antibody is the main cause of ineffective platelet transfusion, the detection of platelet antibody is of great significance to prevent the inefficacy of platelet transfusion in patients with diffuse large B-cell lymphoma. Objective To analyze the screening results of antiplatelet antibodies in patients with diffuse large B-cell lymphoma and to explore the main factors affecting the production of antiplatelet antibodies so as to provide basis for safe blood transfusion. Methods Patients with diffuse large B-cell lymphoma treated in our department from August 2022 to May 2023 were selected as subjects. Antiplatelet antibodies (GP IX, GP Ⅰ b, GPIIb, GPIIa, GMP140) were detected by flow cytometry. The factors affecting the positive antiplatelet antibodies were analyzed from the aspects of clinical characteristics and laboratory indexes. Results In 155 patients with diffuse large B-cell lymphoma, the positive rate of antiplatelet antibody was 63.23% (98/155). Among them, the positive rate of antiplatelet antibody in male patients was 63.75% (51/80), higher than that in female patients was 62.67%(47/75), and the difference was statistically significant (P&amp;lt;0.05). The positive rate of antiplatelet antibody in patients over 60 years old was 65.18% (43/67), higher than that in patients aged ≤ 60 years old was 62.5%(55/88). The difference was statistically significant (P&amp;lt;0.05). In addition, the positive detection of antiplatelet antibody was related to the abnormal results of large platelet ratio, mean platelet volume, D-dimer and aspartate aminotransferase. In the positive distribution of antiplatelet antibodies, the positive rates of GP IX, GP Ⅰ b, GPIIb, GPIIa and GMP140 autoantibodies were 1.29% (2/155), 29.03% (45/155), 37.42% (58/155), 1.29% (2/155), 49.68% (77/155), respectively. The positive number of antiplatelet antibodies was related to the abnormal results of partial prothrombin time, prothrombin time, prothrombin activity, international standardized ratio, thrombin time, fibrin (prothrombin) degradation products, globulin, alanine aminotransferase and aspartate aminotransferase. Conclusion Patients with diffuse large B-cell lymphoma with abnormal results of large platelet ratio, mean platelet volume, D-dimer and aspartate aminotransferase should pay attention to the detection of antiplatelet antibodies before platelet transfusion to prevent transfusion failure.

Comparison of High-Flow Nasal Cannula (HFNC) Oxygen Therapy and Non-Invasive Ventilation (NIV) in Patients with COVID-19: A Randomized Clinical Trial

Background: With the expansion of the COVID-19, the study of different oxygen therapy methods has yielded different results. In the current study, we compare the effects of non-invasive ventilation and oxygen therapy through the high-flow nasal cannula.&#x0D; Methods: Non-intensive care unit-admitted COVID-19 patients were randomly divided into two groups. The first group received oxygen therapy with High Flow Nasal Cannula (HFNC) and the second group received Non-Invasive Ventilation (NIV). Clinical conditions and results obtained from laboratory tests were compared in two groups before oxygen therapy, and after 24 and 48 hr.&#x0D; Results: The average age of the participants was 56.25. According to the results, after 24 hr of respiratory intervention, dyspnea was the most frequent in the NIV group with 83.33% and in the HFNC group with 90%. After 48 hr, in the NIV group, nasal flaring was observed with a frequency of 60%, and in the HFNC group, weakness and lethargy were the most common symptoms (56.66%). Comparison of clinical status and laboratory indices of the two groups of patients showed that most of the indices in patients in three time periods were not significantly different, while the results demonstrated that after 24 hours, the mean PaCo2 in the HFNC group was significantly lower than the NIV group (0.002) and the mean PH in the HFNC group was significantly higher than the other group (p=0.039).&#x0D; Conclusion: The effectiveness of using HFNC compared to NIV is the same and shows no significant difference.&#x0D;

Clinical efficacy evaluation and potential mechanism prediction on Guizhi-Shaoyao-Zhimu decoction in the treatment of gouty arthritis based on meta-analysis, network pharmacology analysis, and molecular docking.

Guizhi-Shaoyao-Zhimu decoction (GSZD) is a Chinese herb formula. Previous studies have reported that the clinical symptoms and laboratory indicators of gouty arthritis patients could be improved by GSZD. However, no previous study has evaluated and analyzed its efficacy, safety, underlying mechanisms, and the relationship between related ingredients of herbs and targets of gouty arthritis. Randomized controlled trials of GSZD for gouty arthritis were retrieved from various databases. Meta-analysis was performed by Stata 17 software. Galbraith plot was used to find studies with possible heterogeneity. Publication bias was assessed by Egger test and funnel plot. The related ingredients of herbs and the targets of herbs and gouty arthritis were obtained from several databases, such as TCMSP, HERB, and DrugBank. The protein-protein interaction network was conducted by the STRING platform. DAVID database was used to perform GO and KEGG analysis. Molecular docking and visualization of docking results were carried out by AutoDock and PyMOL software. Twenty studies with 1633 patients were included. Meta-analysis indicated that GSZD could better improve the clinical efficiency and visual analogue scale score, and reduce the level of blood uric acid and inflammatory biomarkers (including C-reactive protein, erythrocyte sedimentation rate, interleukin 6, interleukin 8, and tumor necrosis factor-α) than conventional treatment. In addition, we retrieved 157 active compounds, 517 herb target genes, 3082 disease targets, and 295 intersection targets of herb and disease. The results of network pharmacology analysis showed that the core related ingredients included quercetin, kaempferol, sitosterol, luteolin, catechin, etc. The core intersection targets contained AKT1, TNF-α, TP53, IL6, etc. And the critical signaling pathways included IL-17, HIF-1, TNF, PI3K-Akt, etc. Among the 56 molecular docking results, only 8 results had binding energy values greater than -5.0 kcal/mol. GSZD could be a satisfactory complementary and alternative therapy for treating gouty arthritis. However, it should be verified by further studies. Future research on gouty arthritis could be conducted from the active components including beta-sitosterol and sitosterol, the targets including TNF-1, IL1B, and ESR1, and the signaling pathways including IL-17 and HIF-1.

Systematically analysis of decompensated cirrhotic patients with spontaneous bacterial peritonitis to identify diagnostic and prognostic indexes

BackgroundSpontaneous bacterial peritonitis (SBP) is a common complication in patients with cirrhosis. The diagnosis of SBP is still mostly based on ascites cultures and absolute ascites polymorphonuclear (PMN) cell count, which restricts the widely application in clinical settings. This study aimed to identify reliable and easy-to-use biomarkers for both diagnosis and prognosis of cirrhotic patients with SBP.MethodsWe conducted a retrospective study including 413 cirrhotic patients from March 2013 to July 2022 in the First Affiliated Hospital of Guangxi Medical University. Patients’ clinical characteristics and laboratory indices were collected and analyzed. Two machine learning methods (Xgboost and LASSO algorithms) and a logistic regression analysis were adopted to screen and validate the indices associated with the risk of SBP. A predictive model was constructed and validated using the estimated area under curve (AUC). The indices related to the survival of cirrhotic patients were also analyzed.ResultsA total of 413 cirrhotic patients were enrolled in the study, of whom 329 were decompensated and 84 were compensated. 52 patients complicated and patients with SBP had a poorer Child–Pugh score (P < 0.05). Patients with SBP had a greater proportion of malignancies than those without SBP(P < 0.05). The majority of laboratory test indicators differed significantly between patients with and without SBP (P < 0.05). Albumin, neutrophil-to-lymphocyte ratio (NLR), and ferritin-to-neutrophil ratio (FNR) were found to be independently associated with SBP in decompensated cirrhotic patients using LASSO algorithms, and logistic regression analysis. The model established by the three indices showed a high predictive value with an AUC of 0.808. Furthermore, increased neutrophils, ALP, and C-reactive protein-to-albumin ratio (CAR) were associated with the shorter survival time of patients with decompensated cirrhosis, and the combination of these indices showed a greater predictive value for cirrhotic patients.ConclusionsThe present study identified FNR as a novel index in the diagnosis of SBP in decompensated patients with cirrhosis. A model based on neutrophils, ALP and CAR showed high performance in predicting the prognosis of patients with decompensated cirrhosis.

The clinical value of glycosylated hemoglobin level in newly diagnosed ketosis-prone type 2 diabetes.

To evaluate the clinical value of glycosylated hemoglobin (HbA1c) in newly diagnosed ketosis-prone type 2 diabetes (KPD). A total of 330 patients with newly diagnosed type 2 diabetes (T2DM) hospitalized in our department with an average age of 48.72 ± 13.07 years old were selected and divided into T2DM group (193 cases) and KPD group (137 cases) according to whether they were combined with ketosis. According to the quartile level of HbA1c, they were divided into group A (HbA1c < 8.90%, 84 cases), group B (8.90%≤HbA1c < 10.70%, 86 cases), group C (10.70%≤HbA1c ≤ 12.40%, 85 cases) and group D (HbA1c > 12.40%, 75 cases). The general clinical features, laboratory indicators and islet function of each group were compared. Spearman correlation analysis was used to explore the correlation between HbA1c and β- Hydroxybutyric acid (β- HB) and islet function. ROC curve was used to analyze the sensitivity and specificity of HbA1c in diagnosing KPD, and the optimal tangent point was obtained. HbA1c, β-HB, FFA, RBG, insulin dosage, GSP, OGTT (0, 0.5, 1, 2, 3h) in KPD group were significantly higher than those in T2DM group (P< 0.001). HDL-C, IRT (0, 0.5, 1, 2, 3h), HOMA-β, HOMA-IR, HOMA-IS, ΔC30/ΔG30, AUC insulin were significantly lower than those in T2DM group (P< 0.001). With the increase of HbA1c level, the incidence of ketosis, β-HB, FFA and insulin dosage increased, while IRT (0, 0.5, 1, 2, 3h), ΔC30/ΔG30, AUC insulin, HOMA-β and HOMA-IS decreased accordingly (P< 0.001). In all newly diagnosed T2DM patients, Spearman correlation analysis showed that HbA1c was positively correlated with β-HB (r=0.539, P < 0.001), and was negatively correlated with HOMA-β (r=-0.564, P < 0.001), HOMA-IS (r=-0.517, P < 0.01, P < 0.001), HOMA-IR (r=-0.177, P < 0.001), ΔC30/ΔG30 (r=-0.427, P < 0.01) and AUC insulin (r=-0.581, P < 0.001). In ROC curve analysis, the optimal threshold for the diagnosis of KPD was 10.15%, Youden index was 0.616, area under the curve (AUC) was 0.882, sensitivity = 92.70%, specificity = 70.50%. In newly diagnosed T2DM patients, if HbA1c > 10.15%, it is more likely to develop KPD. Monitoring HbA1c level is conducive to timely detection of high-risk individuals with KPD and taking appropriate measures to prevent the occurrence and development of the disease.

Efficacy and safety of Duhuo-Jisheng decoction in rheumatoid arthritis: A systematic review and meta-analysis of 42 randomized controlled trials.

Duhuo-Jisheng decoction (DJD) is a Chinese herb formula. Previous studies have reported that the clinical symptoms and laboratory indicators of rheumatoid arthritis (RA) patients could be improved by DJD. However, the existing evidence was not robust enough and controversial. Randomized controlled trials of DJD for RA were retrieved from Chinese and English databases from their inception to April 16, 2023. Meta-analysis was performed by Stata 17 software. We used subgroup analysis, meta-regression, and sensitivity analysis to identify potential sources of heterogeneity. The subgroup analysis and meta-regression were conducted from 6 aspects, including age, course of disease, course of treatment, interventions used in the experimental or control group, and random sequence generation. Galbraith plot was used to find studies with possible heterogeneity. Publication bias was assessed by Egger's test and funnel plots when the number of relevant studies was greater than or equal to 10. Forty-two studies were included, involving 3635 patients and 19 outcome indicators. Meta-analysis showed that, compared with the routine disease-modifying antirheumatic drugs (rDMARDs), DJD could better improve the level of laboratory indicators, main symptoms and signs, and questionnaire scores of RA patients. The laboratory indicators included rheumatoid factor, T lymphocyte subpopulation (including CD4+, CD8+, and CD4+/CD8+), and inflammatory biomarkers (including erythrocyte sedimentation rate, C-reactive protein, tumor necrosis factor-α, interleukin 6, interleukin 1β, and interleukin 1). The main symptoms and signs included the duration of morning stiffness, the number of joint tenderness, the number of swollen joints, and the grip strength of both hands. The questionnaire included visual analogue scale, health assessment questionnaire, and disease activity score in 28 joints. In addition, the adverse events of DJD treatment were significantly lower than those of rDMARDs. However, the results of a few subgroup analyses differed from the overall results. Furthermore, the publication bias assessment showed that, out of 11 evaluated results, 4 had publication bias. DJD could be a satisfactory complementary and alternative therapy for RA. However, due to a small number of subgroup analysis results being different from the overall results, it should be verified by further studies.