Objective:To evaluate the clinical value of peripheral blood monocyte subset analysis in the diagnosis and treatment of chronic myelomonocytic leukemia (CMML) .Method:We retrospectively enrolled 51 patients newly diagnosed with CMML at Guangdong Provincial People's Hospital between June 1, 2020, and December 31, 2024, according to the WHO 2022 diagnostic criteria. Twenty-three patients with other myeloid neoplasms (excluding CMML) and peripheral monocytosis (absolute count ≥0.5×10 9/L and percentage ≥10%) were included as the control group. All patients underwent bone marrow aspiration for examinations including bone marrow smears, biopsies, cytogenetics, and gene mutation analysis to establish a definitive diagnosis. Concurrently, flow cytometry was used to determine the proportions of peripheral blood monocyte subsets: classical (MO1, CD14 +CD16 -) , intermediate (MO2, CD14 +CD16 +) , and non-classical (MO3, CD14 lowCD16 +) . Differences between the groups were compared, and diagnostic efficacy was evaluated using receiver operating characteristic (ROC) curves. Result:Among the 51 CMML patients, the proportion of the peripheral blood MO1 subset was significantly higher than that in patients with other myeloid neoplasms ( P=0.027) , whereas there were no significant differences in the MO2 and MO3 subsets (all P>0.05) . Further analysis revealed that 43 (84.31%) of the CMML patients met the WHO diagnostic threshold for the MO1 subset (≥94%) , while the remaining 8 patients did not; 46 patients (90.20%) had MO3 subset proportions below the threshold proposed by Hudson (≤1.13%) , while the remaining 5 patients were above this threshold. In-depth analysis showed that among the 8 patients who did not meet the WHO criteria, 7 were experiencing inflammation. Similarly, all 5 patients who did not meet the Hudson criteria were in an inflammatory state. Subsequent ROC curve analysis of this cohort identified a cut-off value for the MO1 subset of 97.55% [Area Under the Curve (AUC) =0.661, P=0.027], which aligns with the WHO criteria. Conclusion:Peripheral blood monocyte subset analysis, particularly MO1 subset analysis, can effectively assist in CMML diagnosis, but exclusion of inflammatory conditions is required.

Objective:To analyze the changes of DNA methylation in peripheral blood mononuclear cells (PBMC) of patients with hepatocellular carcinoma (HCC) and to evaluate the clinical value of a combined model based on FSIP1 gene methylation on the early diagnosis of HCC.Methods:This is a case-control study. From May 2023 to September 2024, 183 HCC patients and 155 healthy controls were collected in Qilu Hospital of Shandong University. The selected study subjects were divided into three cohorts: 14 HCC patients and 39 healthy controls formed the discovery cohort, a screening cohort consisted of 36 HCC patients and 39 healthy controls, 133 HCC patients and 77 healthy controls were included in the model construction cohort. 935k methylation chip analysis was used to identify specific differentially methylated sites in peripheral blood PBMC of the discovery cohort. The absolute value of the average methylation level difference between HCC group and healthy control group (|Δβ|) and P value were calculated. Then targeted bisulfite sequencing was used to verify the differentially methylated sites in the screening cohort. Finally, based on MethylTarget methylation sequencing technology, differential methylation sites were further verified in model construction cohort (divided into training set and validation set, training set consisted of 99 HCC patients and 57 healthy controls; validation set consisted of 34 HCC patients and 20 healthy controls). HCC early diagnosis model was constructed by random forest algorithm combined with clinical parameters and the diagnostic performance of the model was evaluated by receiver operating characteristic (ROC) curve in the validation set. Results:The total of 7 249 differentially methylated sites between HCC patients and healthy controls in discovery cohort were selected under the rule of |Δβ|≥0.06 and P<0.01. Among them, the cg02155073 site located on FSIP1 was hypermethylated in PBMC of HCC patients in the screening cohort and model cohort ( P<0.001). The AUC of HCC early diagnosis model (FmAP) based on FSIPI in the validation set was 0.967 (95% CI 0.924-1.000); sensitivity was 88%, specificity was 95%. The model had good diagnostic efficacy for patients with early HCC, stage Ⅰ-Ⅱ HCC AUC was 0.958 (95% CI 0.898-1.000). The FmAP model also had diagnostic value for tumor size <2 cm HCC and AFP negative HCC, with AUC of 0.955 (95% CI 0.898-1.000) and 0.964 (95% CI 0.934-0.994).The sensitivity were 92% and 93% and specificity both were 84%. Conclusion:The FmAP model based on FSIP1 gene methylation has good clinical value for the early diagnosis of hepatocellular carcinoma.

Objective To explore the diagnosis and treatment strategies for elderly patients with ground-glass opacity (GGO). Methods The imaging features and postoperative pathological findings of the elderly patients with pulmonary GGO receiving surgery in our hospital from 2017 to 2019 were retrospectively analyzed. The patients were divided into an elderly patient group and a non-elderly patient group based on their age. Results Finally 575 patients were included in the study. There were 281 elderly patients, including 83 males and 198 females, with an average age of (67.0±5.3) years. There were 294 non-elderly patients, including 88 males and 206 females, with an average age of (49.1±7.3) years. Compared with the non-elderly patients, elderly GGO patients showed the following distinct clinical features: long observation time for lesions (P=0.001), high proportion of rough edges of GGO (P<0.001), significant pleural signs (P＜0.001) and bronchial signs (P＜0.001), and high proportion of type Ⅱ-Ⅳ GGO (P<0.001), lobectomy type (P=0.013), and invasive lesions reported in postoperative pathology (P<0.001). There was no statistical difference in the average hospital stay between the two groups (P=0.106). Multivariate logistic regression analysis showed that GGO diameter and GGO type were the main factors affecting the operation. Observation time, GGO diameter, GGO type and pleural signs were the main influencing factors for postoperative pathological infiltrative lesions. The cut-off value of GGO diameter in predicting infiltrating lesions was 10.5 mm in the elderly patients group. Conclusion The size and type of GGO are important factors in predicting invasive lesions and selecting surgical methods. Elderly patients with radiographic manifestations of type Ⅱ-Ⅳ GGO lesions with a diameter greater than 10.5 mm should be closely followed up.

Objective To analyze the current status of medical services in secondary and tertiary hospitals in Shandong Province based on DRG,and to provide effective support for the implementation strategies of bidirectional referral.Methods The DRG group was used to analyze 42.348 3 million cases from 75 secondary hospitals and 69 tertiary hospitals in Shandong Province from 2019 to 2023.Experts were organized to establish standards for bidirectional referral of diseases.Results(1)35 high-frequency DRG disease groups with diagnosis,treatment ability and medical resources in secondary hospitals were selected,(2)The medical expenses and medical quality in the high-frequency DRG disease groups within secondary hospitals were lower than those in tertiary hospitals,(3)To develop standardized referral standards and programs with esophageal cancer as an example.Conclusion It is urgent to triage patients gradually and accurately through disease classification management,and formulate disease diagnosis and treatment plans and bidirectional referral standards to improve the medical quality of secondary hospitals.

Objective To analyze the current status of medical services in secondary and tertiary hospitals in Shandong Province based on DRG,and to provide effective support for the implementation strategies of bidirectional referral.Methods The DRG group was used to analyze 42.348 3 million cases from 75 secondary hospitals and 69 tertiary hospitals in Shandong Province from 2019 to 2023.Experts were organized to establish standards for bidirectional referral of diseases.Results(1)35 high-frequency DRG disease groups with diagnosis,treatment ability and medical resources in secondary hospitals were selected,(2)The medical expenses and medical quality in the high-frequency DRG disease groups within secondary hospitals were lower than those in tertiary hospitals,(3)To develop standardized referral standards and programs with esophageal cancer as an example.Conclusion It is urgent to triage patients gradually and accurately through disease classification management,and formulate disease diagnosis and treatment plans and bidirectional referral standards to improve the medical quality of secondary hospitals.

Objective:To evaluate the clinical value of peripheral blood monocyte subset analysis in the diagnosis and treatment of chronic myelomonocytic leukemia (CMML) .Method:We retrospectively enrolled 51 patients newly diagnosed with CMML at Guangdong Provincial People's Hospital between June 1, 2020, and December 31, 2024, according to the WHO 2022 diagnostic criteria. Twenty-three patients with other myeloid neoplasms (excluding CMML) and peripheral monocytosis (absolute count ≥0.5×10 9/L and percentage ≥10%) were included as the control group. All patients underwent bone marrow aspiration for examinations including bone marrow smears, biopsies, cytogenetics, and gene mutation analysis to establish a definitive diagnosis. Concurrently, flow cytometry was used to determine the proportions of peripheral blood monocyte subsets: classical (MO1, CD14 +CD16 -) , intermediate (MO2, CD14 +CD16 +) , and non-classical (MO3, CD14 lowCD16 +) . Differences between the groups were compared, and diagnostic efficacy was evaluated using receiver operating characteristic (ROC) curves. Result:Among the 51 CMML patients, the proportion of the peripheral blood MO1 subset was significantly higher than that in patients with other myeloid neoplasms ( P=0.027) , whereas there were no significant differences in the MO2 and MO3 subsets (all P>0.05) . Further analysis revealed that 43 (84.31%) of the CMML patients met the WHO diagnostic threshold for the MO1 subset (≥94%) , while the remaining 8 patients did not; 46 patients (90.20%) had MO3 subset proportions below the threshold proposed by Hudson (≤1.13%) , while the remaining 5 patients were above this threshold. In-depth analysis showed that among the 8 patients who did not meet the WHO criteria, 7 were experiencing inflammation. Similarly, all 5 patients who did not meet the Hudson criteria were in an inflammatory state. Subsequent ROC curve analysis of this cohort identified a cut-off value for the MO1 subset of 97.55% [Area Under the Curve (AUC) =0.661, P=0.027], which aligns with the WHO criteria. Conclusion:Peripheral blood monocyte subset analysis, particularly MO1 subset analysis, can effectively assist in CMML diagnosis, but exclusion of inflammatory conditions is required.

Objective:To analyze the changes of DNA methylation in peripheral blood mononuclear cells (PBMC) of patients with hepatocellular carcinoma (HCC) and to evaluate the clinical value of a combined model based on FSIP1 gene methylation on the early diagnosis of HCC.Methods:This is a case-control study. From May 2023 to September 2024, 183 HCC patients and 155 healthy controls were collected in Qilu Hospital of Shandong University. The selected study subjects were divided into three cohorts: 14 HCC patients and 39 healthy controls formed the discovery cohort, a screening cohort consisted of 36 HCC patients and 39 healthy controls, 133 HCC patients and 77 healthy controls were included in the model construction cohort. 935k methylation chip analysis was used to identify specific differentially methylated sites in peripheral blood PBMC of the discovery cohort. The absolute value of the average methylation level difference between HCC group and healthy control group (|Δβ|) and P value were calculated. Then targeted bisulfite sequencing was used to verify the differentially methylated sites in the screening cohort. Finally, based on MethylTarget methylation sequencing technology, differential methylation sites were further verified in model construction cohort (divided into training set and validation set, training set consisted of 99 HCC patients and 57 healthy controls; validation set consisted of 34 HCC patients and 20 healthy controls). HCC early diagnosis model was constructed by random forest algorithm combined with clinical parameters and the diagnostic performance of the model was evaluated by receiver operating characteristic (ROC) curve in the validation set. Results:The total of 7 249 differentially methylated sites between HCC patients and healthy controls in discovery cohort were selected under the rule of |Δβ|≥0.06 and P<0.01. Among them, the cg02155073 site located on FSIP1 was hypermethylated in PBMC of HCC patients in the screening cohort and model cohort ( P<0.001). The AUC of HCC early diagnosis model (FmAP) based on FSIPI in the validation set was 0.967 (95% CI 0.924-1.000); sensitivity was 88%, specificity was 95%. The model had good diagnostic efficacy for patients with early HCC, stage Ⅰ-Ⅱ HCC AUC was 0.958 (95% CI 0.898-1.000). The FmAP model also had diagnostic value for tumor size <2 cm HCC and AFP negative HCC, with AUC of 0.955 (95% CI 0.898-1.000) and 0.964 (95% CI 0.934-0.994).The sensitivity were 92% and 93% and specificity both were 84%. Conclusion:The FmAP model based on FSIP1 gene methylation has good clinical value for the early diagnosis of hepatocellular carcinoma.

Objective:To screen the characteristic gut microbiota and fecal metabolites related to the efficacy of oxaliplatin-based neoadjuvant chemotherapy in patients with colorectal cancer liver metastasis, to analyze the relationship between gut microbiota and fecal metabolites, and to evaluate the predictive value of relevant markers for the efficacy of neoadjuvant chemotherapy in patients with colorectal cancer liver metastasis.Methods:This is a case-control study, 34 patients with colorectal cancer liver metastasis who were treated in Qilu Hospital of Shandong University from October 2021 to July 2022 were selected as the research objects, and were divided into chemotherapy effective group (20 cases) and chemotherapy ineffective group (14 cases) according to the efficacy evaluation criteria. Logistic regression was used to construct a prediction model to screen the microbiota and metabolic markers capable of predicting the effect of chemotherapy, and the receiver operating characteristic (ROC) curve and survival analysis curve were plotted to evaluate the predictive effect of related microbiota and metabolites on the efficacy of neoadjuvant chemotherapy.Results:There was no significant difference in the α and β diversity of gut microbiota between the patients in the chemotherapy effective group and in the ineffective group (all P>0.05). In terms of species, the relative abundance of 5 species was up-regulated and 10 species were down-regulated in the chemotherapy-effective group compared with the chemotherapy-ineffective group, and the difference was statistically significant (all P<0.05), among which Prevotella salivae could effectively predict the chemotherapy effect (AUC=0.750, P=0.007), with a sensitivity of 80.0% and a specificity of 71.4%. The overall survival of patients with high abundance (17 cases) was lower than that of patients with low abundance (17 cases) ( χ 2=5.239, P=0.022). In terms of metabolites, 20 metabolites were up-regulated and 4 metabolites were down-regulated in the chemotherapy-effective group compared with the chemotherapy-ineffective group, and the difference was statistically significant (all P<0.05), among which threonine and prostaglandin F2α-1-ethanolamide could distinguish between patients who responded to chemotherapy and those who did not respond to chemotherapy (AUC=0.743, 0.707, all P<0.05), and the overall survival of patients with high levels of relative abundance (17 cases) was higher than that of patients with low levels (17 cases) ( χ 2=4.748, 5.407, all P<0.05). The Logistic regression model of Prevotella salivae and prostaglandin F2α-1-ethanolamide was obtained through screening analysis, and the ROC curve results showed that the model had a good predictive value (AUC=0.836, sensitivity: 90.0%, specificity: 78.6%), and the overall survival of patients with high predict probability (17 cases) predicted by the model was higher than that of patients with low predict probability (17 cases) ( χ 2=9.260, P=0.002). Conclusion:Prevotella salivae and prostaglandin F2α-1-ethanolamide can be used as predictive biomarkers of neoadjuvant chemotherapy for colorectal cancer liver metastasis, and the model has good clinical reference value for prognosis assessment of patients in this cohort.

Objective:To compare the epidemiological and clinical characteristics of hospitalized children with respiratory syncytial virus (RSV) infection in Kunming among the pre-and post-COVID-19 era, and to establish a prediction model for severe RSV infection in children during the post-COVID-19 period.Methods:This was a retrospective study. Clinical and laboratory data were collected from 959 children hospitalized with RSV infection in the Department of Pulmonary and Critical Care Medicine at Kunming Children′s Hospital during January to December 2019 and January to December 2023. Patients admitted in 2019 were defined as the pre-COVID-19 group, while those admitted in 2023 were classified as the post-COVID-19 group. Epidemiological and clinical characteristics were compared between the two groups. Subsequently, comparison of the clinical severity among the two groups was performed based on propensity score matching (PSM). Furthermore, the subjects in the post-COVID-19 group were divided into severe and non-severe groups based on clinical severity. Chi-square test and Mann-Whitney U test were used for pairwise comparison between groups, and multivariate Logistic regression was applied for the identification of independent risk factors and construction of the prediction model. The receiver operating characteristic (ROC) curve and calibration curve were employed to evaluate the predictive performance of this model. Results:Among the 959 children hospitalized with RSV infection, there were 555 males and 404 females, with an onset age of 15.4 (7.3, 28.5) months. Of which, there were 331 cases in the pre-COVID-19 group and 628 cases in the post-COVID-19 group. The peak period of RSV hospitalization in the post-COVID-19 group were from May to October 2023, and the monthly number of inpatients for each of these months were as follows: 72 cases (11.5%), 98 cases (15.6%), 128 cases (20.4%), 101 cases (16.1%), 65 cases (10.4%), and 61 cases (9.7%), respectively. After PSM for general data, 267 cases were matched in each group. The proportion of wheezing in the post-COVID-19 group was lower than that in the pre-COVID-19 group (109 cases (40.8%) vs. 161 cases (60.3%), χ2=20.26, P<0.001), while the incidences of fever, tachypnea, seizures, severe case, neutrophil-to-lymphocyte ratio (NLR), C-reactive protein and interleukin-6 levels were all higher than those in the pre-COVID-19 group (146 cases (54.7%) vs. 119 cases (44.6%), 117 cases (43.8%) vs. 89 cases (33.3%), 37 cases (13.9%) vs. 14 cases (5.2%), 69 cases (25.8%) vs. 45 cases (16.9%), 3.6 (1.9, 6.4) vs. 2.3 (1.8, 4.6), 9.9 (7.1, 15.2) vs. 7.8 (4.5, 13.9) mg/L, 20.5 (15.7, 30.4) vs. 17.2 (11.0, 26.9) ng/L, χ2=5.46, 6.36, 11.47, 6.42, Z=4.13, 3.06, 2.96, all P<0.05). There were 252 cases and 107 cases with co-infection in the post-and pre-COVID-19 groups, respectively. The proportion of triple and quadruple infection in the post-COVID-19 group was higher than that in the pre-COVID-19 group (59 cases (23.4%) vs. 13 cases (12.1%), 30 cases (11.9%) vs. 5 cases (4.7%), χ2=5.94, 4.46, both P<0.05). Among the 252 cases with co-infection in post-COVID-19 group, the most prevalent pathogens involving in co-infections, in order, were Mycoplasma pneumoniae 56 cases (22.2%), Influenza A virus 53 cases (21.0%), Rhinovirus 48 cases (19.0%), Parainfluenza virus 35 cases (13.9%), and Adenovirus 28 cases (11.1%).The result of multivariate Logistic regression showed that age ( OR=0.70, 95% CI 0.62-0.78, P<0.001), underlying diseases ( OR=10.03, 95% CI 4.10-24.55, P<0.001), premature birth ( OR=6.78, 95% CI 3.53-13.04, P<0.001), NLR ( OR=1.85, 95% CI 1.09-3.15, P=0.023), and co-infection ( OR=1.28, 95% CI 1.18-1.38, P<0.001) were independently associated with the development of severe RSV infection in the post-COVID-19 group. The ROC curve of the prediction model integrating the above five factors indicated an area under the curve of 0.85 (95% CI 0.80-0.89, P<0.001), with an optimal cutoff of 0.21, a sensitivity of 0.83 and a specificity of 0.80. The calibration curve showed that the predicted probability in this model did not differ significantly from the actual probability ( P=0.319). Conclusions:In the post-COVID-19 era in Kunming, the peak in pediatric hospitalizations for RSV infection was from May to October, with declined incidence of wheezing and increased incidence of fever, tachypnea, seizures, severe cases, and rates of triple and quadruple co-infections. Age, underlying diseases, premature birth, NLR, and co-infection were identified as independent risk factors for severe RSV infection in the post-COVID-19 period. In this study, a risk prediction model for severe pediatric RSV infection was established, which had a good predictive performance.

Objective:To evaluate the effect of esketamine on cerebral ischemia-reperfusion (I/R) injury and the association with mitochondrial stress in mice.Methods:The experiment was performed in two parts. Part Ⅰ Eighteen SPF male C57BL/6 mice, aged 8-12 weeks, with body mass index of 28-30 g, were divided into 3 groups ( n=6 each) by a random number table method: sham operation group (S group), cerebral I/R group (IR group), and esketamine plus cerebral I/R group (E+ IR group). Cerebral I/R was produced by occlusion of middle cerebral artery for 1 h followed by 24-h reperfusion in anesthetized mice.Esketamine 10 mg/kg was intraperitoneally injected at 20 min before developing the model in E group. Neurological function was evaluated using the Zea Longa score and balance beam test (Feeney score). The cerebral infarct size was determined by TTC staining. Part Ⅱ Primary cortical neurons were isolated and cultured and then divided into 3 groups ( n=42 each) using a random number table method: control group (group C), oxygen-glucose deprivation-reoxygenation (OGD/R) group, and esketamine plus OGD/R group (group E+ OGD/R). Cells were subjected to O 2-glucose deprivation for 1 h followed by restoration of O 2-glucose supply for 24 h. The cells were treated with 25 μmol/L esketamine for 40 min before preparing the model in E+ OGD/R group. The neuronal viability was measured by the CCK-8 assay. The ultrastructure of neurons was observed with a transmission electron microscope. The levels of reactive oxygen species (ROS), glutathione peroxidase (GSH-px) and malondialdehyde (MDA) were determined, and the mitochondrial membrane potential was determined by JC-1 kit. The neuronal apoptosis was detected by TUNEL staining, and the apoptosis rate of neurons was calculated. The expression of Bax, cytochrome C (CytC), cleaved-caspase-9, caspase-3 and cleaved-caspase-3 was detected by Western blot. Results:Part Ⅰ Compared with S group, the Zea Longa score, Feeney score and cerebral infarct size were significantly increased in IR group ( P<0.01). Compared with IR group, the Zea Longa score, Feeney score and cerebral infarct size were significantly decreased in E+ IR group ( P<0.01). Part Ⅱ Compared with C group, the cell viability and activity of GSH-px were significantly decreased, the apoptosis rate of neurons, levels of ROS and MDA, mitochondrial membrane potential, and cleaved-caspase-3/caspase-3 ratio were increased, and the expression of Bax, Cyt C and cleaved-caspase-9 was up-regulated in OGD/R group ( P<0.01). Compared with OGD/R group, the cell viability and activity of GSH-px were significantly increased, the apoptosis rate of neurons, levels of ROS and MDA, mitochondrial membrane potential, and cleaved-caspase-3/caspase-3 ratio were decreased, and the expression of Bax, Cyt C and cleaved-caspase-9 was down-regulated in E+ OGD/R group ( P<0.01). Conclusions:Esketamine can alleviate cerebral I/R injury in mice, and the mechanism may be related to inhibition of mitochondrial stress in neurons, improvement in mitochondrial function, and inhibition of mitochondria-dependent apoptosis in neurons.