Gout is a crystal-associated arthropathy caused by the deposition of monosodium urate crystals and is closely related to purine metabolic disorders and impaired uric acid excretion. It is clinically characterized by hyperuricemia， recurrent joint swelling and pain， and tophus formation. The disease course is divided into three stages： The hyperuricemia stage， acute attack stage， and chronic gouty arthritis stage. Modern medicine has reached a consensus on its pathology， but traditional Chinese medicine （TCM） lacks a systematic stage-specific understanding of gout pathogenesis and its underlying mechanisms， making it difficult to guide precise syndrome differentiation and treatment. By integrating classical TCM theory， clinical practice， and modern medical understanding， and drawing upon descriptions of Bi syndrome caused by endogenous dampness and turbidity in classical texts such as Huangdi Neijing·Ling Shu and Synopsis of the Golden Chamber， our team proposes the pathogenic concept of gout as ''endogenous dampness leading to Bi syndrome'' and the core pathogenesis of ''spleen deficiency with internal retention of dampness-turbidity''. We systematically elucidate the evolution of pathogenesis across different stages and corresponding therapeutic strategies. This study posits that metabolic byproducts such as urate fall under the category of ''endogenous pathogenic dampness-turbidity''. When genetic or dietary factors lead to metabolic abnormalities， it manifests as ''spleen deficiency with impaired transport and transformation''， resulting in ''internal retention of pathogenic dampness-turbidity''. When damp-turbidity stagnates in the blood vessels， serum uric acid levels rise. When it stagnates in the viscera and limbs， monosodium urate crystals deposit in the joints. Triggered by precipitating factors， this leads to gout attacks—the core pathological process of ''endogenous dampness leading to Bi syndrome''. Based on this theory， the stage-specific pathogenic characteristics of gout are proposed： The hyperuricemia stage is characterized by ''spleen deficiency with impaired transport and transformation， internal retention of pathogenic dampness-turbidity''， the acute attack stage is primarily marked by ''dampness-turbidity and static heat obstructing the limbs and joints''， while the chronic stage is defined by ''spleen deficiency with internal retention of pathogenic dampness-turbidity， intermingled with phlegm-stasis binding''. The treatment principle centers on ''strengthening the spleen and draining dampness'' throughout all stages. During the hyperuricemia stage， treatment focuses on ''strengthening the spleen， draining dampness， and eliminating turbidity''. In the acute attack stage， the treatment should "strengthen the spleen， drain dampness， clear heat， eliminate turbidity， alleviate swelling， and relieve pain''. In the chronic stage， the treatments emphasizes to ''strengthen the spleen， drain dampness， transform turbidity， clear heat， resolve phlegm， and activate blood circulation''. This approach has yielded favorable therapeutic outcomes in clinical practice. This theoretical system clarifies the nature of gout as ''spleen deficiency being the root， dampness-turbidity being the secondary manifestation'' and systematically analyzes its pathogenesis evolution process and characteristics. The constructed stage-based treatment protocol has been validated through clinical and basic research， providing systematic theoretical guidance and a practical framework for the precise TCM management of gout， thereby promoting the modernization of TCM pathogenesis theory related to gout.

ObjectiveThis paper aims to observe the effect of Huazhuo Sanjie Chubi prescription （HSCD） on the gouty bone erosion model rats and investigate its action mechanism. MethodsThirty-six two-month-old male SD rats were randomly divided into the blank group with nine rats and the modeling group with 27 rats. The rats in the modeling group were administered hypoxanthine solution at 300 mg·kg^-1·d^-1 and potassium oxonate solution at 250 mg·kg^-1·d^-1， combined with intra-articular injection of 200 μL monosodium urate （MSU） crystal suspension at 25 g·L^-1 into the right ankle joint （joint injection once every three days）， so as to induce the gouty bone erosion model. After four weeks of modeling， three rats were selected from these two groups to validate the model. The modeled 24 rats were randomly divided into the model group， HSCD group （10.35 g·kg^-1·d^-1）， allopurinol group （20 mg·kg^-1·d^-1）， and inhibitor group （LY294002， 10 mg·kg^-1·d^-1）， with six rats per group. Except for the blank group， rats in all other groups continued to receive hypoxanthine solution at 300 mg·kg^-1 and potassium oxonate solution at 250 mg·kg^-1 via gavage concurrently with administration to maintain modeling intervention. The rats in the HSCD group and allopurinol group received administration by gavage at the above doses. The rats in the inhibitor group received an intraperitoneal injection at the above dose. The rats in the blank group and model group received saline （10.35 g·kg^-1·d^-1） by gavage for four consecutive weeks. After administration， ankle joint swelling of the rats in all groups was observed， and the diameters were measured. Bone volume fraction （BV/TV） and bone surface area to bone volume （BS/BV） were observed and quantitatively analyzed by Micro-CT. Histopathological changes in the ankle joint were observed by hematoxylin-eosin （HE） staining and safranin O-fast green staining. The uric acid in the rats' serum was determined by enzyme colorimetry. The levels of inflammatory factors， including tumor necrosis factor-α （TNF-α）， interleukin （IL）-1β， and IL-6 were measured by enzyme-linked immunosorbent assay （ELISA）. The protein expressions of receptor activator of nuclear factor-κB ligand （RANKL） and phosphorylated （p）-phosphatidylinositol-3-kinase （PI3K） in ankle joint tissues of rats were detected by immunofluorescence staining. The mRNA levels of the proteins related to the bone erosion， including RANKL， tartrate-resistant acid phosphatase （TRAP）， cathepsin K （CTSK）， and matrix metalloproteinase-9 （MMP-9） in the ankle joint tissues of rats were determined by real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. The expressions of the proteins related to the bone erosion， including RANKL， CTSK， TRAP， MMP-9， and the proteins related to the PI3K/protein kinase B （Akt） signaling pathway， including PI3K， Akt， mammalian target of rapamycin （mTOR）， p-PI3K， phosphorylated protein kinase B （p-Akt）， and phosphorylated mammalian target of rapamycin （p-mTOR）， were detected by Western blot. ResultsCompared with the blank group， the modeling group showed marked ankle swelling and increased diameter. Micro-CT revealed an uneven articular surface and honeycomb-like bone erosion in the ankle joint. Quantitative analysis showed decreased BV/TV and increased BS/BV （P<0.05）. HE staining revealed a narrowed joint space， rough and discontinuous cartilage surfaces， reduced and unevenly distributed chondrocytes， partial hypertrophy， and blurred tidemarks， confirming successful model establishment. After four weeks of intervention， compared with those in the blank group， the rats in the model group exhibited severe ankle swelling and increased diameters （P<0.05）. Micro‑CT showed that the ankle joint surface was irregular， and bone erosion exhibited a honeycomb‑like morphology. The microstructural parameters of the bone revealed a decreased BV/TV and an increased BS/BV （P<0.05）. Histopathological examination revealed a narrowed joint space and severe articular cartilage destruction. The levels of uric acid in the serum and inflammatory factors （IL-1β， IL-6， and TNF-α） were increased （P<0.05）. The mRNA and protein levels of the proteins related to bone erosion in joint tissue， including RANKL， CTSK， TRAP， and MMP-9， were upregulated （P<0.05）. The ratios of p-PI3K/PI3K， p-Akt/Akt， and p-mTOR/mTOR in the proteins related to the PI3K/Akt signaling pathway were increased （P<0.05）. RANKL and p-PI3K protein fluorescence intensities were elevated （P<0.05）. Compared with those in the model group， the above indicators in all other administration groups showed varying degrees of improvement. The HSCD group and inhibitor groups exhibited more significant effects in reducing ankle swelling， improving bone erosion， bone microstructure （significant decrease in BV/TV and increase in BS/BV）， and the pathology of cartilage erosion， lowering inflammatory factor levels， downregulating the proteins related to the bone erosion， and suppressing activation of the PI3K/Akt/mTOR pathway （P<0.05）. The uric acid levels in rats' serum were reduced in both HSCD and allopurinol groups （P<0.05）. Compared with those in the HSCD group， the rats in the allopurinol group had larger ankle diameters （P<0.05）， more severe bone erosion and bone microstructure damage （P<0.05）， worse improvement of the pathology of cartilage erosion， higher levels of IL-6 and TNF-α （P<0.05）， elevated expressions of the proteins related to the bone erosion， higher expression ratio of proteins related to the PI3K/Akt signaling pathway （P<0.05）， and higher fluorescence intensities of RANKL and p-PI3K proteins （P<0.05）. The inhibitor group achieved comparable results to the HSCD group in improvements of bone microstructure and the reduction of IL-1β and IL-6， stronger suppression of TNF-α and PI3K/Akt/mTOR signaling pathway activation （P<0.05）， but weaker effects on cartilage repair and serum uric acid reduction （P<0.05）. ConclusionHSCD effectively reduces uric acid levels in serum， suppresses inflammatory factor secretion， and downregulates the expressions of proteins related to bone erosion， including RANKL， CTSK， TRAP， and MMP-9 in the joint tissues. Its action mechanism of improving gouty bone erosion may be associated with inhibition of the PI3K/Akt signaling pathway.

ObjectiveTo investigate the effects of Schisandrae Chinensis Fructus lignans on schizophrenia induced by dizocilpine maleate （MK-801） in mice and to clarify its mechanism. MethodsMale mice of 4-6 weeks old were randomized into blank， model， positive drug， and low-， medium-， and high-dose （40， 80， 160 mg·kg^-1， respectively） Schisandrae Chinensis Fructus lignans groups. The blank group was administrated with distilled water， and the other groups were injected with 0.5 mg·kg^-1 MK-801 to induce schizophrenia symptoms. Meanwhile， risperidone was injected at 0.2 mg·kg^-1 in the positive drug group， and mice in the intervention groups were injected with corresponding drugs for 14 consecutive days. The behavioral changes of mice were observed by autonomous activity test， open field test， forced swimming test， and water maze test. The levels of dopamine （DA） and 5-hydroxytryptamine （5-HT） in the brain and tumor necrosis factor-α （TNF-α） and nuclear factor-κB （NF-κB） in peripheral blood were quantified by enzyme-linked immunosorbent assay （ELISA）. The changes in the prefrontal lobe of mice were observed by hematoxylin-eosin staining， and the changes of the hippocampal tissue were observed by Nissl staining. The protein levels of silencing information regulatory factor 1 （SIRT1） and forkhead box protein O3a （FoxO3a） in the hippocampus of mice were determined by Western blot. ResultsCompared with the model group， low， medium， and high doses of Schisandrae Chinensis Fructus lignans reduced the total number of autonomous activities， total distance in the open field test， immobile time in the forced swimming test， and levels of TNF-α and NF-κB in peripheral blood （P<0.05）， while increasing the number of platform crossings in the water maze test and DA and 5-HT levels in the brain tissue （P<0.05）. Compared with the model group， risperidone and low， medium， and high doses of Schisandrae Chinensis Fructus lignans improve the neural cell morphology in the CA1 region， with full cells in neatly dense arrangement and exhibiting clear membrane boundary. Schisandrae Chinensis Fructus lignans inhibited the expression of SIRT 1 and FoxO3a in the hippocampus （P<0.05）. ConclusionTo sum up， Schisandrae Chinensis Fructus lignans may improve the behavior of schizophrenic mice by activating the SIRT1/FoxO3a signaling pathway to exert neuroprotective effects.

ObjectiveThis study aims to develop a prediction model for the compatibility of Chinese medicinal pairs based on Graph Convolutional Networks （GCN）， named HC-GCN. The model integrates the properties of herbs with modern pharmacological mechanisms to predict pairs with specific therapeutic effects. It serves as a demonstration by applying the model to predict and validate the efficacy of blood-activating herb pairs. MethodsThe training dataset for herb pair prediction was constructed by systematically collecting commonly used herb pairs along with their characteristic data， including Qi， flavor， meridian tropism， and target genes. Integrating traditional characteristics of herb with modern bioinformatics， we developed an efficacy-oriented herb pair compatibility prediction model （HC-GCN） using graph convolutional networks （GCN）. This model leverages machine learning to capture the complex relationships in herb pair compatibility， weighted by efficacy features. The performance of the HC-GCN model was evaluated using accuracy （ACC）， recall， precision， F1 score （F1）， and area under the ROC curve （AUC）. Its predictive effectiveness was then compared to five other machine learning models： eXtreme Gradient Boosting （XGBoost）， logistic regression （LR）， Naive Bayes， K-nearest neighbor （KNN）， and support vector machine （SVM）. ResultsUsing herb pairs with blood-activating effects as a demonstration， a prediction model was constructed based on a foundational dataset of 46 blood-activating herb pairs， incorporating their Qi， flavor， meridian tropism， and target gene characteristics. The HC-GCN model outperforms other commonly used machine learning models in key performance metrics， including ACC， recall， precision， F1 score， and AUC. Through the predictive analysis of the HC-GCN model， 60 herb pairs with blood-activating effects were successfully identified. Among of these potential herb pairs， 44 include at least one herb with blood-activating effects. ConclusionIn this study， we established an efficacy-oriented compatibility prediction model for herb pairs based on GCN by integrating the unique characteristics of traditional herbs with modern pharmacological mechanisms. This model demonstrated high predictive performance， offering a novel approach for the intelligent screening and optimization of traditional Chinese medicine prescriptions， as well as their clinical applications.

Objective: To explore the association of health literacy with overweight and obesity among middle school students in Chongqing, so as to provide evidence for obesity prevention and control strategies. Methods: From November to December 2019, a stratified cluster sampling method was used to select 7 851 middle school students from 8 complete middle schools across 4 districts/counties in Chongqing. Participants completed the Adolescent Health Literacy Questionnaire and underwent nutritional status assessments. Chisquare tests and multivariate Logistic regression analyses were performed to evaluate associations. Results: The prevalence of overweight and obesity among adolescents was 12.95%. The overall health literacy rate and rates for functional, interactive, and critical health literacy dimensions were 62.01%, 66.02%, 50.07%, and 72.42%, respectively. Significant differences in overweight and obesity prevalence were observed across districts/counties, urban/rural areas, sex, school stages, and onlychild status (χ2=25.93, 3.86, 80.55, 8.80, 6.43, P<0.05). After adjusting for confounding factors, multivariate Logistic regression revealed that middle school students with overall health literacy (OR=0.86, 95%CI=0.75-0.99), interactive health literacy (OR=0.85, 95%CI=0.74-0.97), and critical health literacy (OR=0.84, 95%CI=0.73-0.98) had a lower risk of overweight and obesity (P<0.05). Conclusions Health literacy is inversely associated with overweight and obesity among middle school students. Strengthening health education and improving interactive and critical health literacy may create favorable conditions for adolescent overweight and obesity prevention and control.

OBJECTIVE To establish a nomogram model based on clinical and biochemical parameters in elderly patients with p16-negative nasopharyngeal carcinoma and to identify patients who may benefit from concurrent chemoradiotherapy(CCRT)combined with induction chemotherapy(IC).METHODS A total of 142 nasopharyngeal carcinoma patients who received CCRT in Huanggang Central Hospital between June 2021 and May 2024 were retrospectively included for analysis,and the patients were divided into a training set(n=99)and a validation set(n=43)in a ratio of 7:3.Before treatment,all patients underwent a complete physical examination,fiberoptic nasopharyngeal endoscopy,laboratory tests,and plasma Epstein-Barr virus deoxyribonucleic acid(EBV-DNA)level detection.The study endpoint was disease-specific survival(DSS),defined as the time from initial treatment to cancer-related death or the last follow-up date.RESULTS EBV-DNA level,T stage,N stage,albumin(ALB),and lactate dehydrogenase(LDH)were screened by COX and LASSO regression analysis to establish a nomogram model for predicting DSS in nasopharyngeal carcinoma patients.The nomogram model had good discrimination ability[C-index value:0.947(95%CI:0.905-0.990)vs.0.930(95%CI:0.862-0.998)]and accuracy in both the training set and the validation set.The nomogram model was divided into low-risk group,medium-risk group and high-risk group according to risk.There were statistical differences in DSS among the three groups in the training set and validation set(χ2=7.153,9.266,P=0.028,0.010).In the training set and validation set,only the patients in the high-risk group who received IC+CCRT had a longer DSS than those who received CCRT.CONCLUSION The nomogram model of pre-treatment EBV-DNA level,T stage,N stage,ALB,and LDH was used to distinguish high-risk elderly p16-negative nasopharyngeal carcinoma patients,suggesting that this population may be the beneficiary of IC+CCRT in clinical practice.

Objective:To investigate the specific expressions of Delta like non-canonical Notch ligand 1 ( DLK1) and Maternally expressed gene 3 ( MEG3) in POU class 1 homeobox 1 (POU1F1) spectrum pituitary tumors and their correlation with prognosis. Methods:A retrospective case-control study method was adopted. A total of 167 patients with POU1F1 lineage pituitary adenomas who were diagnosed and underwent pituitary adenoma resection at Tangshan People′s Hospital from April 2021 to April 2023 were collected as the research subjects. There were 98 males and 69 females with an average age of (63.05±7.51) years, ranging from 52 to 82 years. They were divided into good prognosis group ( n=111) and poor prognosis group ( n=56) according to postoperative follow-up. A multiple linear regression analysis was performed to examine the relationships between the levels of DLK1 mRNA and MEG3 mRNA and the immune function indicators (Complement 3/Complement 4/Immunoglobulin M/Immunoglobulin A). Multivariate Logistic regression analysis was used to investigate the correlation between DLK1 mRNA and MEG3 mRNA levels and poor prognosis of patients. The odds ratio (OR) of multivariate Logistic regression analysis was calculated. RCS model was used to analyze the dose-response relationship between DLK1 mRNA and MEG3 mRNA and poor prognosis of pituitary tumor resection in POU1F1 spectrum patients. The measurement data following a normal distribution were presented as mean±standard deviation ( ± s), and the t-test was used for comparison between groups. The count data were presented as the number of cases and percentages (%), and the chi-square test was used for comparison between groups. Results:Before treatment, the levels of DLK1 mRNA and MEG3 mRNA in the serum of patients in the good prognosis group were 0.142±0.047 and 0.075±0.024 respectively, and after treatment, they were 0.019±0.003 and 0.577±0.067 respectively. Before treatment, the levels of DLK1 mRNA and MEG3 mRNA in the serum of patients in the poor prognosis group were 0.109±0.035 and 0.067±0.016 respectively, and after treatment, they were 0.057±0.011 and 0.298±0.047 respectively. Before and after treatment the level of DLK1 mRNA in the good prognosis group was significantly lower than that in the poor prognosis group, and the level of MEG3 mRNA in the good prognosis group was significantly higher than that in the poor prognosis group ( P< 0.05). Moreover, the serum DLK1 mRNA and MEG3 mRNA of patients after treatment were significantly different from those before treatment ( P<0.05). The levels of adrenocorticotropin (ACTH), growth hormone, prolactin, complement 3, mean visual field defect and weighted visual field index in the good prognosis group were (42.15±4.68) ng/L, (13.47±2.17) ng/L, (8.28±1.76) ng/L, (1.38±0.34) g/L, (5.26±1.15) dB, (89.14±17.23)%. In the poor prognosis group, there were (56.64±6.42) ng/L, (18.06±3.11) ng/L, (11.49±2.93) ng/L, (1.12±0.45) g/L and (7.96±1.52) dB, (73.65±15.28)%, and there was statistical significance in the above indexes between the two groups ( P< 0.05). There was no independent correlation between the expression of DLK1 mRNA and MEG3 mRNA and immune function indexes (Complement 3/Complement 4、IgM、IgA) ( P>0.05). There was an independent positive correlation between high level of DLK1 mRNA and poor prognosis ( OR=0.521, 95% CI: 0.466-0.738), and a stable correlation between low level of MEG3 mRNA and poor prognosis ( OR=0.761, 95% CI: 0.526-0.883). There is a negative nonlinear dose-response relationship between MEG3 and risk of poor prognosis, and a positive nonlinear dose-response relationship between DLK1 and risk-poor prognosis. The area under ROC curve (AUC) of DLK1 mRNA and MEG3 mRNA for predicting poor prognosis were 0.685(0.504-0.797) and 0.710 (0.611-0.806), respectively. Conclusion:There are significant differences between serum DLK1 mRNA and MEG3 mRNA after treatment and before treatment. DLK1 mRNA were positively nonlinear independent correlated with poor prognosis, and MEG3 mRNA was negatively nonlinear independent correlated with poor prognosis.

Objective:To observe the effects of Yiyuan moxibustion on bladder function and antioxidant level of spinal cord tissues in rats with urinary retention after spinal cord injury (SCI); To explore the mechanism of inhibition of ferroptosis in spinal cord neurons after SCI by Yiyuan moxibustion.Methods:Wistar female rats were divided into sham-operation group, model group, and Yiyuan moxibustion group according to random number table method, with 12 rats in each group. The modified Allen′s vertical percussion method was used to construct the model of urinary retention after SCI in T10 segment. The rats in the Yiyuan moxibustion group were moxibued at the Zhongji acupoint, Guanyuan acupoint, and Shenque acupoint for 20 min per day, and the intervention was continued for 2 weeks. Urodynamic test was used to observe the degree of urinary retention in rats; HE staining was used to observe the morphological changes of the injured spinal cord tissues; transmission electron microscopy was used to observe the mitochondrial ultrastructure of the spinal cord tissues; ferric ion kit was used to detect the ferric ion content of the spinal cord tissues; ELISA was used to detect the GSH and MDA contents of the spinal cord tissues of the rats; Western blot was used to measure the relative expressions of glutathione peroxidase 4 (GPX4) and solute carrier family 7 member 11 (SLC7A11) proteins in rat spinal cord tissue.Results:Compared with the model group, the basal and leakage point pressures of the bladder, and bladder compliance were significantly reduced in the Yiyuan moxibustion group ( P<0.05); the spinal cord tissue structure was restored and mitochondrial morphology improved; the levels of iron ions and MDA in spinal cord tissue decreased ( P<0.05), while the level of GSH increased ( P<0.05), and the relative expressions of GPX4 and SLC7A11 proteins increased ( P<0.05). Conclusion:Yiyuan moxibustion can improve bladder function in rats with urinary retention after SCI, and the mechanism may involve the initiation of antioxidant defense and reduction of lipid peroxidation in spinal cord neuronal cells, thus preventing the occurrence of ferroptosis and achieving the protection of neuronal cells.

Background and aims:Noninvasive assessments play a crucial role in ruling out high-risk esophageal varices(HREV)in cirrhotic patients.However,the value of sound touch elastography(STE)in predicting HREV has not been comprehensively investigated.Therefore,this study aimed to establish prediction models based on liver and spleen stiffness measurements obtained by STE and provide assessment strategies and cutoff values tailored for different clinical situations.Methods:This prospective study included cirrhotic patients who underwent esophagogastroduodeno-scopy(EGD).Liver and spleen stiffness measurements by STE were performed within six months of EGD examination.Various prediction models and their corresponding cutoff values were established for different clinical situations,incorporating spleen diameter and laboratory parameters.Results:A total of 154 cirrhotic patients were included in the study and stratified into training(n=119)and validation(n=35)sets.Multivariable analysis revealed platelet,spleen diameter and spleen stiffness measurement as independent predictors of HREV.The model incorporating spleen stiffness measurement,platelet,and spleen diameter demonstrated superior performance in predicting HREV,yielding an area under the receiver operating characteristic curve(AUC)of 0.878 and 0.853 in the training set and validation set,respectively.Application of this model for screening cirrhotic patients could avoid EGDs in 39.7％(27/68)and 35.3％(6/17)of patients in the training and validation sets,respectively.Conclusions:Liver and spleen stiffness measurements obtained through STE are valuable for predicting HREV in cirrhotic patients.The developed prediction models and their corresponding cutoff values provide tailored solutions for various clinical situations,thereby effectively reducing the need for un-necessary endoscopies.

BACKGROUND: There is little literature describing the artificial intelligence (AI)-aided diagnosis of severe pneumonia (SP) subphenotypes and the association of the subphenotypes with the ventilatory treatment efficacy. The aim of our study is to illustrate whether clinical and biological heterogeneity, such as ventilation and gas-exchange, exists among patients with SP using chest computed tomography (CT)-based AI-aided latent class analysis (LCA). METHODS: This retrospective study included 413 patients hospitalized at Xinhua Hospital diagnosed with SP from June 1, 2015 to May 30, 2020. AI quantification results of chest CT and their combination with additional clinical variables were used to develop LCA models in an SP population. The optimal subphenotypes were determined though evaluating statistical indicators of all the LCA models, and clinical implications of them such as guiding ventilation strategies were further explored by statistical methods. RESULTS: The two-class LCA model based on AI quantification results of chest CT can describe the biological characteristics of the SP population well and hence yielded the two clinical subphenotypes. Patients with subphenotype-1 had milder infections ( P <0.001) than patients with subphenotype-2 and had lower 30-day ( P <0.001) and 90-day ( P <0.001) mortality, and lower in-hospital ( P = 0.001) and 2-year ( P <0.001) mortality. Patients with subphenotype-1 showed a better match between the percentage of non-infected lung volume (used to quantify ventilation) and oxygen saturation (used to reflect gas exchange), compared with patients with subphenotype-2. There were significant differences in the matching degree of lung ventilation and gas exchange between the two subphenotypes ( P <0.001). Compared with patients with subphenotype-2, those with subphenotype-1 showed a relatively better match between CT-based AI metrics of the non-infected region and oxygenation, and their clinical outcomes were effectively improved after receiving invasive ventilation treatment. CONCLUSIONS A two-class LCA model based on AI quantification results of chest CT in the SP population particularly revealed clinical heterogeneity of lung function. Identifying the degree of match between ventilation and gas-exchange may help guide decisions about assisted ventilation.
Humans ; Tomography, X-Ray Computed/methods* ; Male ; Female ; Retrospective Studies ; Middle Aged ; Artificial Intelligence ; Aged ; Pneumonia/diagnosis* ; Latent Class Analysis ; Adult