Objectives: . The prognostic value of the pretreatment albumin-to-alkaline phosphatase ratio (AAPR) in head and neck cancer (HNC) remains uncertain. This meta-analysis aimed to evaluate the predictive role of AAPR for survival outcomes in patients with HNC. Methods: . A comprehensive search of the Cochrane Library, PubMed, and Embase databases was conducted to identify relevant studies published up to July 30, 2024. We included studies on AAPR and survival outcomes in HNC patients. Results: . Eight studies comprising 1,737 HNC patients were analyzed using random-effects models. Lower AAPR values were significantly correlated with worse overall survival (hazard ratio [HR], 2.08), progression-free survival (HR, 2.00), and disease-free survival (HR, 2.18). Sensitivity analyses confirmed the robustness of these results, with no significant publication bias detected. Conclusion . Our findings suggest that pretreatment AAPR could serve as a valuable and cost-effective prognostic indicator in HNC, potentially aiding clinicians in risk stratification and treatment decision-making. However, additional validation studies are warranted to confirm its clinical applicability.

ObjectiveTo investigate the preventive and therapeutic effects of Qingfei Paidu decoction (QFPDD) on acute lung injury (ALI) in mice and its underlying molecular mechanisms based on miRNA sequencing technology. MethodsTwenty-four 4-week-old male KM mice were randomly divided into a control group, a model group, and a QFPDD group (n = 8 per group). After one week of acclimatization, mice in the control and model groups were intragastrically administered ultrapure water (0.2 mL per dose), whereas mice in the QFPDD group were intragastrically administered QFPDD (1.6 g crude drug/mL, 0.2 mL per dose), twice daily for 8 consecutive days. On days 2–8, mice in the model and QFPDD groups were exposed to aerosolized lipopolysaccharide (LPS) solution (2.5 g/L, 4 mL per exposure) for 7 consecutive days. On day 9, blood was collected via the retro-orbital venous plexus under deep anesthesia, and lung tissues were harvested. Body weight and lung weight were measured, and the lung coefficient was calculated. Serum levels of inflammatory cytokines tumor necrosis factor-α (TNF-α), interleukin (IL)-1β, and IL-6 were detected by ELISA. Lung histopathological changes were observed by HE staining of paraffin-embedded sections. miRNA expression profiles in lung tissues were analyzed using the Illumina HiSeq 2500 sequencing platform. Target genes of differentially expressed miRNAs were predicted using bioinformatics databases, and functional enrichment analysis of these target genes was performed using gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. Differentially expressed miRNAs were validated by reverse transcription quantitative real-time PCR (RT-qPCR). ResultsCompared with the control group, the model group showed a consistent body weight growth trend but a significantly increased lung coefficient (P < 0.01). ELISA results showed that serum levels of TNF-α and IL-6 were significantly elevated in the model group compared with the control group (P < 0.01), whereas QFPDD treatment significantly reduced serum TNF-α and IL-6 levels compared with the model group (P < 0.05). HE staining showed that, compared with the control group, the model group exhibited widened alveolar septa, massive inflammatory cell infiltration, partial alveolar expansion, and mild capillary dilation with congestion. In contrast, the QFPDD group showed only slightly widened alveolar septa and mild inflammatory cell infiltration compared with the model group. Intersection analysis of miRNA sequencing data identified 13 differentially expressed miRNAs common to both the model vs. control and QFPDD vs. model comparisons. Among them, 6 miRNAs (mmu-miR-203-3p, mmu-miR-181b-5p_R-1, hsa-miR-4286_R+1, mmu-miR-1843b-5p_L+1R-1_2, mmu-miR-22-3p, and mmu-miR-1964-3p) were significantly up-regulated in the model group (P < 0.05) and significantly down-regulated after QFPDD treatment (P < 0.05), showing a therapeutic reversal trend. GO analysis revealed that the target genes of the differentially expressed miRNAs were mainly enriched in biological processes such as RNA polymerase Ⅱ transcriptional regulation. KEGG analysis indicated that target genes were mainly enriched in signaling pathways including the mitogen-activated protein kinase (MAPK) pathway. RT-qPCR validation result for mmu-miR-203-3p was consistent with the sequencing analysis results. ConclusionQFPDD may exert preventive and therapeutic effects against ALI by regulating the expression of mmu-miR-203-3p and other miRNAs, thereby modulating inflammatory responses and the MAPK signaling pathway and participating in the pathological process of lung injury.

[Objective] : To systematically evaluate the overall efficacy of external application of traditional Chinese medicine (EA-TCM) in combination with oral three-step analgesic ladder therapy for patients suffering from cancer-induced bone pain (CIBP). [Methods] : We conducted a literature search of randomized controlled trials on the combination of EA-TCM and three-step analgesic ladder therapy for CIBP across ten databases and two registration systems. It included four Chinese databases [Chinese Biomedical Literature Database (SinoMed), China National Knowledge Infrastructure (CNKI), Wanfang Database, and China Science and Technology Journal Database (VIP) ], six English databases (Scopus, Embase, Web of Science, PubMed, Cochrane Library, and OpenGrey), and two registration systems (Chinese Clinical Trial Registry and ClinicalTrials.gov). The timeframe for the literature search extended from the inception of each database to December 31, 2023. Meta-analysis was performed using RevMan (v5.4.1), and the outcome indicators (pain relief rate, analgesic duration, quality of life, pain intensity, breakthrough pain frequency, and adverse reactions) were graded using GRADE profiler (v3.6). [Results] : According to the established inclusion and exclusion criteria, a total of 43 studies was deemed eligible, involving 3 142 participants with CIBP. The results of meta-analysis showed that compared with oral three-step analgesic ladder therapy alone, the combined therapy of EA-TCM and three-step analgesic ladder has a significant improvement in pain relief rate [risk ratio (RR) = 1.32, 95% confidence interval (CI): 1.24 to 1.41, P < 0.000 01], analgesic duration [mean difference (MD) = 1.33, 95% CI: 0.97 to 1.69, P < 0.000 01], and quality of life (MD = 5.66, 95% CI: 4.88 to 6.44, P < 0.000 01). Furthermore, the combined therapy significantly reduced pain intensity (MD = – 1.00, 95% CI: – 1.19 to – 0.80, P < 0.000 01), breakthrough pain frequency (MD = – 0.43, 95% CI: – 0.51 to – 0.36, P < 0.000 01), and adverse reactions (RR = 0.60, 95% CI: 0.53 to 0.68, P < 0.000 01) in CIBP patients. Based on the GRADE assessment, the level of evidence varied from low to moderate. [Conclusion] EA-TCM combined with the three-step analgesic ladder therapy can effectively alleviate pain symptoms in patients with CIBP and improve their quality of life. Additionally, the EA-TCM can effectively reduce the incidence of adverse reactions associated with three-step analgesic therapy.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Objective:To explore the current status of hospital-acquired rhinosinusitis (HAR) in Neurocritical Care Unit (NCU) patients and to analyze its risk factors.Methods:From January 2021 to December 2022, 819 NCU patients of Nanfang Hospital, Southern Medical University were selected by whole population sampling method, of which 125 patients met the inclusion and exclusion criteria for analysis. Patients were categorized into HAR group ( n=69) and non-HAR group ( n=56) based on the occurrence of HAR. Differences in demographic and clinical data of the two groups of patients were compared. Logistic regression analysis was used to explore the risk factors for the HAR in patients. Results:HAR occurred in 69 NCU patients, with an incidence of 55.2% (69/125) . There were statistically significant differences in gender, smoking history, Glasgow Coma Scale score on admission, whether or not there was pneumonia, whether or not a nasogastric tube was indwelt before the occurrence of HAR, whether or not tracheal intubation was performed before the occurrence of HAR, whether or not mechanical ventilation was conducted before the occurrence of HAR, whether or not tracheotomy was performed, and the length of NCU stay between patients in HAR group and non-HAR group ( P<0.05) . Logistic regression analysis showed that indwelling nasogastric tube before the occurrence of HAR, failure to quit smoking before admission, and prolonged NCU stay were risk factors for HAR ( OR=6.291, 3.976, 1.089; P<0.05) . Conclusions:NCU patients have a high incidence of HAR, and indwelling nasogastric tube, failure to quit smoking before admission, and prolonged NCU stay are risk factors for HAR in NCU patients.

Objective To explore the association between aspartate aminotransferase(AST)/alanine aminotransferase(ALT)ratio and metabolic syndrome(MS)in elderly hypertensive patients,and to provide reference for early detection and prevention of MS in elderly hypertensive patients.Methods A questionnaire survey and physical examination were conducted among 616 elderly hypertensive patients at community health service centers.Participants were divided into two groups based on MS status:MS group(n=334)and non-MS group(n=282).According to AST/ALT levels,participants were divided into four groups:q1 group(AST/ALT ≤0.88,n=156),q2 group(0.88＜AST/ALT ≤ 1.10,n=155),q3 group(1.10＜AST/ALT ≤ 1.37,n=154),and q4 group(AST/ALT＞1.37,n=151).Blood biochemical parameters including triglycerides(TG),high-density lipoprotein cholesterol(HDL-C),AST,ALT,and blood glucose were measured.The impact of AST/ALT levels on MS was analyzed using a Logistic regression model,while the risk prediction for MS occurrence was evaluated through receiver operating characteristic(ROC)curves.Results MS group showed higher body mass index(BMI),TG,ALT levels,abnormal glucose levels,female proportion,and abdominal obesity rate compared to non-MS group.HDL-C and AST/ALT values of MS group were lower than those in non-MS patients(P＜0.05).Logistic regression analysis revealed that after adjusting for BMI,smoking,alcohol consumption,physical activity,education level,marital status,TG,HDL-C,and glucose levels,both q3 and q4 groups demonstrated reduced MS risk compared to group q1 group(P＜0.05).ROC curve analysis indicated that the area under the curve for AST/ALT in MS was 0.638(P＜0.05).Conclusion The level of AST/ALT was negatively correlated with MS in elderly hypertensive patients,and AST/ALT has certain predictive value for the risk of MS in elderly hypertensive patients.

Objective To establish a nomogram prediction model for the risk of sarcopenia among elderly patients with type 2 diabetes mellitus(T2DM)by LASSO-Logistic regression.Methods From January 2021 to December 2023,2986 elderly T2DM patients who were admitted to The Fifth People's Hospital of Chongqing were enrolled.Based on the 2019 criteria of the Asian Sarcopenia Working Group,they were divided into a T2DM combined with sarcopenia(Sar,n=867)group and simple T2DM group(n=2119).All patients were randomly divided into a model group(n=1990)and a validation group(n=996)in a 2∶1 ratio.Another 528 patients with T2DM admitted to our hospital from January to October 2024 were selected as the external validation group.LASSO regression was used to screen variables.Logistic regression was used to analyze the influencing factors of sarcopenia.R language was used to establish a nomogram model.Receiver operating characteristic(ROC)curve and Hosmer-Lemeshow curve were used to validate the prediction model.Results The age,proportions of drinking,hypertension,hyperlipidemia,DM complications,DM duration,fasting plasma glucose(FPG),2-hour postprandial plasma glucose,hemoglobin A1c(HbA1c),triglycerides,total cholesterol,and low-density lipoprotein cholesterol in the Sar group were higher than those in the T2DM group(P<0.05).The proportion of male individuals,body mass index,and high-density lipoprotein cholesterol in the Sar group were lower than those in the T2DM group(P<0.05).LASSO regression identified 8 factors,including gender,age,drinking,hypertension,DM complications,DM duration,FPG,and HbA1c,as predictive variables for T2DM with sarcopenia.Logistic regression analysis showed that gender,age,DM duration,HbA1c,and DM complications were influencing factors for sarcopenia in elderly T2DM patients.The nomogram prediction model showed that the highest scores corresponding to DM complications,DM duration,HbA1c,age,and gender were approximately 100,70,52,43,and 30 points,respectively,with a maximum total score of approximately 295.The area under the ROC curve of the model group,validation group,and external validation group were 0.914,0.822,and 0.777,respectively.The Hosmer-Lemeshow calibration curve showed that the maximum offsets for the model group,validation group,and external validation group were 0.031,0.049,and 0.056,respectively(P=0.929,0.802,and 0.782,respectively).Conclusions Elderly T2DM patients are prone to developing sarcopenia.A nomogram model based on LASSO-Logistic analysis,which includes DM complications,DM duration,HbA1c,age,and gender,can effectively predict the risk of sarcopenia among elderly T2DM patients.

Objective To establish a nomogram prediction model for the risk of sarcopenia among elderly patients with type 2 diabetes mellitus(T2DM)by LASSO-Logistic regression.Methods From January 2021 to December 2023,2986 elderly T2DM patients who were admitted to The Fifth People's Hospital of Chongqing were enrolled.Based on the 2019 criteria of the Asian Sarcopenia Working Group,they were divided into a T2DM combined with sarcopenia(Sar,n=867)group and simple T2DM group(n=2119).All patients were randomly divided into a model group(n=1990)and a validation group(n=996)in a 2∶1 ratio.Another 528 patients with T2DM admitted to our hospital from January to October 2024 were selected as the external validation group.LASSO regression was used to screen variables.Logistic regression was used to analyze the influencing factors of sarcopenia.R language was used to establish a nomogram model.Receiver operating characteristic(ROC)curve and Hosmer-Lemeshow curve were used to validate the prediction model.Results The age,proportions of drinking,hypertension,hyperlipidemia,DM complications,DM duration,fasting plasma glucose(FPG),2-hour postprandial plasma glucose,hemoglobin A1c(HbA1c),triglycerides,total cholesterol,and low-density lipoprotein cholesterol in the Sar group were higher than those in the T2DM group(P<0.05).The proportion of male individuals,body mass index,and high-density lipoprotein cholesterol in the Sar group were lower than those in the T2DM group(P<0.05).LASSO regression identified 8 factors,including gender,age,drinking,hypertension,DM complications,DM duration,FPG,and HbA1c,as predictive variables for T2DM with sarcopenia.Logistic regression analysis showed that gender,age,DM duration,HbA1c,and DM complications were influencing factors for sarcopenia in elderly T2DM patients.The nomogram prediction model showed that the highest scores corresponding to DM complications,DM duration,HbA1c,age,and gender were approximately 100,70,52,43,and 30 points,respectively,with a maximum total score of approximately 295.The area under the ROC curve of the model group,validation group,and external validation group were 0.914,0.822,and 0.777,respectively.The Hosmer-Lemeshow calibration curve showed that the maximum offsets for the model group,validation group,and external validation group were 0.031,0.049,and 0.056,respectively(P=0.929,0.802,and 0.782,respectively).Conclusions Elderly T2DM patients are prone to developing sarcopenia.A nomogram model based on LASSO-Logistic analysis,which includes DM complications,DM duration,HbA1c,age,and gender,can effectively predict the risk of sarcopenia among elderly T2DM patients.

Objective:To explore the influencing factors for pathological upgrading in prostate cancer patients with a Gleason score of 3 + 3 undergoing targeted biopsy，and to establish a nomogram prediction model.Methods:A retrospective analysis was conducted on 191 patients with localized prostate cancer diagnosed with a Gleason score of 3 + 3 through targeted biopsies at the First Affiliated Hospital of Nanjing Medical University from January 2020 to June 2024. The age of the patients was 67（61，73）years，with prostate-specific antigen（PSA）level of 7.44（5.53，10.19）ng/ml，prostate volume of 35.64（26.59，48.97）ml，and PSA density（PSAD）of 0.20（0.14，0.31）ng/ml 2. Among them，61 cases（31.94%）had a Prostate Imaging Reporting and Data System（PI-RADS）score of 3，104 cases（54.45%）had a score of 4，and 26 cases（13.61%）had a score of 5. The diameter of the main lesion was 10.75（7.86，14.00）mm. The lesions were located in the peripheral zone in 78 cases（40.84%），the transition zone in 99 cases（51.83%），and the anterior fibromuscular stroma in 14 cases（7.33%）. The lesions were found at the apex in 56 cases（29.32%），in the body in 120 cases（62.83%），and at the base in 15 cases（7.85%）. MRI revealed only one lesion with a PI-RADS score ≥ 3 in 131 cases，two suspected lesions in 43 cases，three suspected lesions in 12 cases，and four suspected lesions in 5 cases. Systematic biopsy was positive in 121 cases（63.4%）and negative in 70 cases（36.6%）. The lesions were confined to the left lobe in 63 cases（32.98%），right lobe in 68 cases（35.60%），and involved both lobes in 60 cases（31.41%）. The interval between biopsy and surgery was 9.0（7.0，14.0）days. Univariate analyses were performed using Mann-Whitney U tests or χ2 tests，and multivariate logistic regression was used to identify independent predictors of pathological upgrading. A nomogram model was constructed based on these independent predictors. The model’s discriminative ability was assessed using the area under the receiver operating characteristic（ROC）curve（AUC），and internal validation of the model’s consistency was conducted using the bootstrap resampling method. Decision curve analysis（DCA）was performed to assess clinical utility. Results:Among the 191 cases，60（31.4%）had no pathological upgrading after surgery，while 131（68.6%）showed upgrading. Univariate analysis showed that the maximum diameter of the main lesion［9.0（6.0，13.2）mm vs. 11.0（8.4，14.0）mm］，number of suspicious lesions on MRI［1.0（1.0，1.0）vs. 1.0（1.0，2.0）］，number of positive systematic biopsy cores［1.0（0，2.0）vs. 1.0（0，3.0）］，percentage of positive systematic biopsy cores［0.08（0，0.17）vs. 0.12（0，0.25）］，number of positive targeted biopsy cores［2.0（1.0，3.0）vs. 3.0（1.0，4.0）］，percentage of positive targeted biopsy cores［0.37（0.24，0.75）vs. 0.50（0.38，0.85）］，level of the index lesion，location of the index lesion，and PI-RADS score were associated with pathological upgrading（ P < 0.05）. Multivariate logistic regression analysis showed that PI-RADS score 4（ OR = 5.88，95% CI 2.41 - 14.35），number of suspicious lesions on MRI（ OR = 4.15，95% CI 1.88 - 9.17），location of the index lesion in the transition zone（ OR = 6.86，95% CI 2.81 - 16.73），and percentage of positive targeted biopsy cores（ OR = 4.37，95% CI 1.38 - 14.90）were independent risk factors for pathological upgrading（ P < 0.05）. The nomogram model constructed using these predictors had an AUC of 0.845. Internal validation using the Bootstrap method yielded an AUC value of 0.812，indicating high predictive accuracy of the model. The calibration curve indicated good calibration. Decision curve analysis showed that the threshold range for net benefit in the model was between 12% - 100%. Conclusions:The PI-RADS score 4，the number of lesions with PI-RADS ≥ 3，the location of the main lesion in the transition zone，and the percentage of positive needles in targeted biopsy are independent risk factors for pathological upgrading from Gleason score 3 + 3. The nomogram model constructed from these factors demonstrates good predictive performance and provides a reference for clinical decision-making.

[This corrects the article DOI: 10.1016/j.apsb.2022.05.019.].