Objective To explore the relationship between PANoptosis and hepatic ischemia-reperfusion injury (HIRI), and to screen the key genes of PANoptosis in HIRI. Methods PANoptosis-related differentially expressed genes (PDG) were obtained through the Gene Expression Omnibus database and GeneCards database. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) were used to explore the biological pathways related to PDG. A protein-protein interaction network was constructed. Key genes were selected, and their diagnostic value was assessed and validated in the HIRI mice. Immune cell infiltration analysis was performed based on the cell-type identification by estimating relative subsets of RNA transcripts. Results A total of 16 PDG were identified. GO analysis showed that PDG were closely related to cellular metabolism. KEGG analysis indicated that PDG were mainly enriched in cellular death pathways such as apoptosis and immune-related signaling pathways such as the tumor necrosis factor signaling pathway. GSEA results showed that key genes were mainly enriched in immune-related signaling pathways such as the mitogen-activated protein kinase (MAPK) signaling pathway. Two key genes, DFFB and TNFSF10, were identified with high accuracy in diagnosing HIRI, with areas under the curve of 0.964 and 1.000, respectively. Immune infiltration analysis showed that the control group had more infiltration of resting natural killer cells, M2 macrophages, etc., while the HIRI group had more infiltration of M0 macrophages, neutrophils, and naive B cells. Real-time quantitative polymerase chain reaction results showed that compared with the Sham group, the relative expression of DFFB messenger RNA in liver tissue of HIRI group mice increased, and the relative expression of TNFSF10 messenger RNA decreased. Cibersort analysis showed that the infiltration abundance of naive B cells was positively correlated with DFFB expression (r=0.70, P=0.035), and the infiltration abundance of M2 macrophages was positively correlated with TNFSF10 expression (r=0.68, P=0.045). Conclusions PANoptosis-related genes DFFB and TNFSF10 may be potential biomarkers and therapeutic targets for HIRI.

Objective To identify key patterns of programmed cell death(PCD)and core genes during ischemia-reperfusion injury(IRI)in kidney transplantation.Methods Kidney transplant datasets were obtained from gene expression database,and PCD-related differentially expressed genes were screened.The non-negative matrix factorization algorithm was used to classify patients and analyze subtype-specific biological functions and key PCD patterns.Machine learning models combined with univariate Cox regression and Kaplan-Meier survival analysis were employed to identify core PCD genes during IRI in kidney transplantation and explore their correlation with key PCD patterns.A rat kidney transplant model was used to assess IRI severity through hematoxylin-eosin staining,serum creatinine(Scr),blood urea nitrogen(BUN),and Western blotting for key gene protein expression.Results Fourteen PCD-related genes were identified.Patients were classified into metabolic(subtype 1)and inflammatory(subtype 2)subtypes.Subtype 2 activated four key PCD patterns:pyroptosis,necroptosis,apoptosis and immunogenic cell death.The optimal model(XGBoost-CV:10 fold+Lasso-CV:10 fold)and survival analysis identified MCL1,BAG3,and RHOB as core PCD genes during IRI in kidney transplantation,which were broadly correlated with key PCD patterns.Experimental results showed that compared to the sham group,rats in the model group had more severe tubular injury,higher Scr and BUN levels,and increased BAG3,RHOB and MCL1 protein expression(all P<0.001).Conclusions These four PCD patterns are crucial in the pathogenesis of IRI in kidney transplantation.MCL1,BAG3 and RHOB may serve as potential biomarkers and therapeutic targets for IRI in kidney transplantation.

Objective To identify key patterns of programmed cell death(PCD)and core genes during ischemia-reperfusion injury(IRI)in kidney transplantation.Methods Kidney transplant datasets were obtained from gene expression database,and PCD-related differentially expressed genes were screened.The non-negative matrix factorization algorithm was used to classify patients and analyze subtype-specific biological functions and key PCD patterns.Machine learning models combined with univariate Cox regression and Kaplan-Meier survival analysis were employed to identify core PCD genes during IRI in kidney transplantation and explore their correlation with key PCD patterns.A rat kidney transplant model was used to assess IRI severity through hematoxylin-eosin staining,serum creatinine(Scr),blood urea nitrogen(BUN),and Western blotting for key gene protein expression.Results Fourteen PCD-related genes were identified.Patients were classified into metabolic(subtype 1)and inflammatory(subtype 2)subtypes.Subtype 2 activated four key PCD patterns:pyroptosis,necroptosis,apoptosis and immunogenic cell death.The optimal model(XGBoost-CV:10 fold+Lasso-CV:10 fold)and survival analysis identified MCL1,BAG3,and RHOB as core PCD genes during IRI in kidney transplantation,which were broadly correlated with key PCD patterns.Experimental results showed that compared to the sham group,rats in the model group had more severe tubular injury,higher Scr and BUN levels,and increased BAG3,RHOB and MCL1 protein expression(all P<0.001).Conclusions These four PCD patterns are crucial in the pathogenesis of IRI in kidney transplantation.MCL1,BAG3 and RHOB may serve as potential biomarkers and therapeutic targets for IRI in kidney transplantation.

Background At present, the practice of pulmonary rehabilitation for pneumoconiosis in China is in a primary stage. The basis for formulating an individualized comprehensive pulmonary rehabilitation plan is still insufficient, which is one of the factors limiting the development of community-level rehabilitation work. Objective To formulate an exercise prescription based on maximum heart rate measured by cardiopulmonary exercise test (CPET), conduct an individualized comprehensive pulmonary rehabilitation program with the exercise prescription for patients with stable pneumoconiosis, and evaluate its role in improving exercise endurance and quality of life, thus provide a basis for the application and promotion of pulmonary rehabilitation. Methods A total of 68 patients were recruited from the Occupational Disease Prevention Hospital of Jinneng Holding Coal Industry Group Co., Ltd. from April to August 2022 , and were divided into an intervention group and a control group by random number table method, with 34 cases in each group. All the pneumoconiosis patients participated in a baseline test. The control group was given routine drug treatment, while the intervention group received multidisciplinary comprehensive pulmonary rehabilitation treatment on the basis of routine drug treatment, including health education, breathing training, exercise training, nutrition guidance, psychological intervention, and sleep management, whose exercise intensity was determined according to the maximum heart rate provided by CPET. The rehabilitation training lasted for 24 weeks. Patients were evaluated at registration and the end of study respectively. CPET was used to measure peak oxygen uptake per kilogram (pVO₂/kg), anaerobic threshold (AT), carbon dioxide equivalent of ventilation (EqCO₂), maximum metabolic equivalent (METs), and maximum work (W_max). The modified British Medical Research Council Dyspnea Questionnaire (mMRC), Self-rating Anxiety Scale (SAS), Self-rating Depression Scale (SDS), Pittsburgh Sleep Quality Index (PSQI), Chronic Obstructive Pulmonary Disease Assessment Test (CAT), and Short Form of Health Survey (SF-36) were used to evaluate the potential effect of the comprehensive pulmonary rehabilitation program. Results Among the included 68 patients, 63 patients were having complete data, then 31 cases were assigned in the control group and 32 cases in the interventional group. Before the intervention, there was no significant difference in pVO₂/kg, AT, EqCO₂, METs, or W_max between the two groups (P>0.05). At the end of the trail, the indicators like pVO₂/kg [(19.81±2.38) mL·(min·kg)⁻¹], AT [(14.48±2.33) mL·(min·kg)⁻¹], METs (5.64±0.69), and W_max [(85.25±14) W] of patients in the intervention group were all higher than those [(13.90±2.37) mL·(min·kg)⁻¹, (11.70±1.94) mL·(min kg)⁻¹, (3.97±0.70), and (61.77±14.72) W, respectively] in the control group (P<0.001); there was no significant difference in EqCO₂ between the two groups (P=0.083). Before the trial, there was no significant difference in mMRC, SAS, SDS, PSQI, or CAT scores between the two groups (P>0.05). At the end of the trail, the mMRC score (1.16±0.57), SAS score (27.93±2.12), SDS score (26.48±1.44), PSQI score (1.08±0.88), and CAT score (4.34±3.28) of patients in the intervention group were lower than those [(2.03±0.83), (35.87±6.91), (34.23±6.65), (5.37±3.03), and (13.87±7.53), respectively] in the control group (P<0.001). The SF-36 scores of bodily pain (94.13±10.72), general health (87.50±5.68), vitality (95.31±5.53), mental health (99.88±0.71), and health changes (74.22±4.42) in the intervention group were higher than those [(71.87±32.72), (65.81±15.55), (74.52±16.45), (86.97±16.56), and (29.84±13.50), respectively] in the control group (P<0.001), and no significant difference was found in social functioning and role emotional scores (P>0.05). Conclusion Comprehensive pulmonary rehabilitation can increase the oxygen intake and exercise endurance of pneumoconiosis patients, ameliorate dyspnea symptoms, elevate psychological state and sleep quality, and improve the quality of life.

Objective·To analyze and explore the influencing factors that lead to cognitive deterioration in individuals with elevated fasting blood glucose(FBG)and the metabolic clues associated with changes in the risk of cognitive deterioration.Methods·Data from the Alzheimer's Disease Neuroimaging Initiative(ADNI)database were downloaded,and the samples with FBG and follow-up data were selected from the database.Clinical information,including age,gender,body mass index,education years,apolipoprotein E4(APOE4)genotype and race,and corresponding metabolic indicator data,including amino acids,fatty acids,proteins and others were obtained.Based on the FBG levels and diagnosis of cognitive impairment stages in Alzheimer's disease,the subjects were categorized into four groups:normal FBG without/with cognitive deterioration,and elevated FBG without/with cognitive deterioration.The univariate analysis method,the Cox proportional hazards model,orthogonal projections to latent structures discriminant analysis(OPLSDA),and Spearman correlation analysis were employed for data analysis.Results·A total of 1 317 subjects were included,among which 1 153 had normal FBG level(>3.9 mmol/L and<6.1 mmol/L)and 164 had elevated FBG level(≥6.1 mmol/L).In the normal FBG group,275 subjects showed cognitive deterioration,while in the elevated FBG group,53 subjects showed cognitive deterioration.Univariate analysis revealed significant differences in gender and race between the normal FBG and elevated FBG group,and significant differences in age,gender,and APOE4 genotype between the groups with and without cognitive deterioration(all P<0.05).Cox regression analysis indicated that primary influencing factors for cognitive deterioration were APOE4 positivity,elevated FBG,and increasing age in order(HR=2.22,HR=1.38,HR=1.02;all P<0.05).In the analysis of baseline metabolic indicators in the groups without and with cognitive deterioration,as well as metabolic indicators before and after cognitive deterioration at different FBG levels,the results of the analysis of variance revealed that in the cognitively deteriorated population,the ratio of phospholipids carried by high-density lipoproteins(HDL)to total lipids was significantly higher;low-density lipoprotein(LDL)particle concentration and the lipids carried by LDL were significantly higher after cognitive deterioration.Correlation analysis showed that valine and leucine were significantly correlated not only with FBG level but also with phosphorylated tau(pTau)level in the plasma in the cognitively deteriorated population.Cholesterol and the ratio of phospholipids to total lipids carried by HDL were significantly correlated with pTau levels in cerebrospinal fluid(CSF).Conclusion·Compared to the individuals with normal FBG level,those with high FBG level have a significantly higher risk of cognitive deterioration.Additionally,different metabolic indicators show significant differences between the groups without and with cognitive deterioration,as well as metabolic indicators before and after cognitive deterioration at different FBG levels.Overall,LDL and its lipid content,and HDL-carried phospholipids show an increasing trend during cognitive deterioration,and the branched-chain amino acids valine and leucine are significantly correlated with pTau levels in CSF and plasma,suggesting that these metabolic markers may play an important role in cognitive deterioration.

Objective Prior studies have established a connection between albuminuria and various inflammatory reactions,highlighting that an increase in C-reactive protein by 1 mg/L increases the likelihood of albuminuria by 2%.Recent investigations indicate a positive correlation between the systemic immune-inflammation index(SII)and increased urinary protein excretion.In addition,elevated levels of the systemic inflammatory response index(SIRI)also correlate with a higher prevalence of albuminuria.The aggregate index of systemic inflammation(AISI)offers a more comprehensive indicator of inflammation,providing an extensive assessment of systemic inflammatory status compared to SII and SIRI.Yet,the specific relationship between AISI and albuminuria remains unclear.This study aims to explore this association in U.S.adults.Methods We analyzed data from the National Health and Nutrition Examination Survey(NHANES)for 2007-2018,excluding pregnant women and individuals under 18.Cases with missing data on AISI,urinary albumin concentration,and other covariates were also excluded.AISI was computed using the formula:AISI=(platelet count×neutrophil count×monocyte count)/lymphocyte count.Albuminuria was defined as the urinary albumin-to-creatinine ratio exceeding 30 mg/g.Continuous variables were presented in the form of the mean±standard error,and categorical variables in percentages.We utilized weighted t-tests and chi-square tests for baseline comparisons.We applied weighted multivariable logistic regression and generalized additive models(GAM)to explore the association between AISI and albuminuria and to assess potential nonlinear relationships.Results The study included 32 273 participants,with an average age of(46.75±0.24)years old.The cohort comprised 48.73% males and 51.27% females.The prevalence of albuminuria was 9.64%.The average logarithmic value of log2AISI was 7.95±0.01,and were categorized into tertiles as follows:Quartile 1(Q1)(4.94 to 7.49),Q2(7.49 to 8.29),and Q3(8.29 to 10.85).As log2AISI increased,so did the prevalence of hypertension,diabetes,congestive heart failure,and albuminuria,all showing statistically significant increases(P<0.001).Similarly,the use of antihypertensive,lipid-lowering,and hypoglycemic drugs was also more prevalent(P<0.001).Statistically significant differences were observed across the three groups concerning age,race and ethnicity,formal education,alcohol consumption,smoking status,systolic and diastolic blood pressures,body mass index,estimated glomerular filtration rate,HbA1c,alanine aminotransferase,aspartate aminotransferase,albumin,creatinine,uric acid,and high-density lipoprotein cholesterol(P<0.05).However,no significant differences were noted in the total cholesterol or the sex ratios among the groups.The association between log2AISI and albuminuria was assessed using weighted multivariable logistic regression,and the detailed results are presented in Table 2.In model 1,without adjusting for covariates,each unit increase in log2AISI was associated with a 32% increase in the risk of albuminuria(odds ratio[OR]=1.32,95% confidence interval[CI]:1.27-1.38,P<0.001).Model 2 was adjusted for age,gender,race,and education level,and showed a similar trend,with each unit increase in log2AISI associated with a 31% increased risk(OR=1.31,95% CI:1.26-1.37,P<0.001).Model 3,which was further adjusted for all covariates,revealed that each unit increase in log2AISI was associated with a 20% increase in the risk of albuminuria(OR=1.20,95% CI:1.15-1.26,P<0.001).The study also transformed log2AISI from a continuous to a categorical variable for analysis.Compared with Q1,the risk of albuminuria in Q3,after adjusting for all covariates,significantly increased(OR=1.37,95% CI:1.22-1.55,P<0.001).Q2 also demonstrated a higher risk compared with Q1(OR=1.13,95% CI:1.06-1.36,P=0.004).The trend test indicated a dose-effect relationship between increasing log2AISI and the rising risk of albuminuria.GAM revealed a nonlinear relationship between log2AISI and albuminuria,with distinct trends noted between sexes.Segmented regression based on turning points showed significant effects among women,although the slope difference between the segments was not significant.In men,a significant threshold effect was observed;below the log2AISI of 7.25,increases in log2AISI did not enhance the risk of albuminuria,but above this threshold,the risk significantly increased.As part of a sensitivity analysis,weighted multivariable logistic regression was performed by changing the outcome variable to macroalbuminuria and adjusting for all covariates.The analysis showed that for every unit increase in log2AISI,the risk of developing macroalbuminuria increased by 31% (OR=1.31,95% CI:1.15-1.49,P<0.001).Compared with Q1,the risk of albuminuria in Q3 increased by 69% (OR=1.69,95% CI:1.27-2.25,P<0.001),and in Q2,it increased by 40% (OR=1.40,95% CI:1.03-1.92,P=0.030).Subgroup analysis and interaction results showed that the positive association between AISI and proteinuria risk was stronger in men than in women.Similarly,the association was stronger in people with hypertension compared with those with normal blood pressure,and higher in overweight people compared with those of normal weight.Furthermore,smokers and drinkers showed a stronger positive association between AISI and the risk of proteinuria than non-smokers and non-drinkers do.These results suggest that sex,blood pressure,body mass index,smoking,and alcohol consumption interact with AISI to influence the risk of proteinuria.Conclusion There is a robust positive association between AISI and increased risks of albuminuria in US adults.As log2AISI increases,so does the risk of albuminuria.However,further validation of this conclusion through large-scale prospective studies is warranted.

Objective:To analyze the factors affecting delayed chemotherapy in children with Burkitt lymphoma (BL) and their influence on prognosis.Methods:Retrospective cohort study. Clinical data of 591 children aged ≤18 years with BL from May 2017 to December 2022 in China Net Childhood Lymphoma (CNCL) was collected. The patients were treated according to the protocol CNCL-BL-2017. According to the clinical characteristics, therapeutic regimen was divided into group A, group B and group C .Based on whether the total chemotherapy time was delayed, patients were divided into two groups: the delayed chemotherapy group and the non-delayed chemotherapy group. Based on the total delayed time of chemotherapy, patients in group C were divided into non-delayed chemotherapy group, 1-7 days delayed group and more than 7 days delayed group. Relationships between delayed chemotherapy and gender, age, tumor lysis syndrome before chemotherapy, bone marrow involvement, disease group (B/C group), serum lactate dehydrogenase (LDH) > 4 times than normal, grade Ⅲ-Ⅳ myelosuppression after chemotherapy, minimal residual disease in the interim assessment, and severe infection (including severe pneumonia, sepsis, meningitis, chickenpox, etc.) were analyzed. Logistic analysis was used to identify the relevant factors. Kaplan-Meier method was used to analyze the patients' survival information. Log-Rank was used for comparison between groups.Results:Among 591 patients, 504 were males and 87 were females, the follow-up time was 34.8 (18.6,50.1) months. The 3-year overall survival (OS) rate was (92.5±1.1)%,and the 3-year event-free survival (EFS) rate was (90.5±1.2)%. Seventy-three (12.4%) patients were in delayed chemotherapy group and 518 (87.6%) patients were in non-delayed chemotherapy group. The reasons for chemotherapy delay included 72 cases (98.6%) of severe infection, 65 cases (89.0%) of bone marrow suppression, 35 cases (47.9%) of organ dysfunction, 22 cases (30.1%) of tumor lysis syndrome,etc. There were 7 cases of chemotherapy delay in group B, which were seen in COPADM (vincristine+cyclophosphamide+prednisone+daunorubicin+methotrexate+intrathecal injection,4 cases) and CYM (methotrexate+cytarabine+intrathecal injection,3 cases) stages. There were 66 cases of chemotherapy delay in group C, which were common in COPADM (28 cases) and CYVE 1 (low dose cytarabine+high dose cytarabine+etoposide+methotrexate, 12 cases) stages. Multinomial Logistic regression analysis showed that the age over 10 years old ( OR=0.54,95% CI 0.30-0.93), tumor lysis syndrome before chemotherapy ( OR=0.48,95% CI 0.27-0.84) and grade Ⅲ-Ⅳ myelosuppression after chemotherapy ( OR=0.55,95% CI 0.33-0.91)were independent risk factors for chemotherapy delay.The 3-year OS rate and the 3-year EFS rate of children with Burkitt lymphoma in the delayed chemotherapy group were lower than those in the non-delayed chemotherapy group ((79.4±4.9)% vs. (94.2±1.1)%, (80.2±4.8)% vs. (92.0±1.2)%,both P<0.05). The 3-year OS rate of the group C with chemotherapy delay >7 days (42 cases) was lower than that of the group with chemotherapy delay of 1-7 days (22 cases) and the non-delay group (399 cases) ((76.7±6.9)% vs. (81.8±8.2)% vs. (92.7±1.3)%, P=0.002).The 3-year OS rate of the chemotherapy delay group (9 cases) in the COP (vincristine+cyclophosphamide+prednisone) phase was lower than that of the non-chemotherapy delay group (454 cases) ((66.7±15.7)% vs. (91.3±1.4)%, P=0.005). Similarly, the 3-year OS rate of the chemotherapy delay group (11 cases) in the COPADM1 phase was lower than that of the non-chemotherapy delay group (452 cases) ((63.6±14.5)% vs. (91.5±1.3)%, P=0.001). Conclusions:The delayed chemotherapy was related to the age over 10 years old, tumor lysis syndrome before chemotherapy and grade Ⅲ-Ⅳ myelosuppression after chemotherapy in pediatric BL. There is a significant relationship between delayed chemotherapy and prognosis of BL in children.

Objective:To develop and validate a risk prediction model for cognitive frailty in elderly patients with type 2 diabetes.Methods:A total of 483 elderly patients with type 2 diabetes who visited Tianjin First Central Hospital from June to December 2022 were selected using convenience sampling. They were randomly divided into a modeling group ( n=338) and a validation group ( n=145). Data were collected using a self-designed general information questionnaire, the Short-Form Mini Nutritional Assessment (MNA-SF), the Geriatric Depression Scale-15 (GDS-15), the Frailty Phenotype (FP), the Montreal Cognitive Assessment (MoCA), and the Clinical Dementia Rating (CDR). Logistic regression analysis was performed to identify the influencing factors. A cognitive frailty risk prediction nomogram model was constructed based on the results. The model was validated in the validation group, and its predictive performance and clinical applicability were evaluated using the area under the receiver operating characteristic curve ( AUC), calibration curve, and clinical decision curve analysis. A total of 483 questionnaires were distributed and all were returned as valid, resulting in a 100.0% response rate. Results:The prevalence of cognitive frailty in the 483 elderly patients with type 2 diabetes was 20.3% (98/483). Age, regular exercise, duration of diabetes, HbA1c levels, depression and nutritional status were identified as predictive factors in the model. The AUC of the model was 0.886, and the Hosmer-Lemeshow test showed a χ 2 value of 8.004 ( P=0.433). The optimal cutoff value was 0.335, and the accuracy was 89.0%. Conclusions:The prediction model demonstrates good fit and strong predictive performance, and can intuitively and easily identify elderly patients with type 2 diabetes who are at high risk of cognitive frailty, providing a reference for early screening and intervention.

OBJECTIVE To investigate the metabolic changes in MEG-01 megakaryocytes after treatment with linezolid (LZD) from metabolomic perspective and its impact on the the proliferation of cells and generation of platelet precursors. METHODS MEG-01 cells were seeded in proliferation medium and divided into blank control group (untreated),solvent control group (4‰DMSO),and 100,200,400,800 μg/mL LZD groups. The proliferation status of cells in each group was observed under the microscope;cell proliferation and viability were assessed. Cells were also seeded in differentiation medium and divided into blank control group (untreated),solvent control group (4‰DMSO),and 400 μg/mL LZD group;after 14 days of culture,platelet precursor generation was observed under the microscope;immunofluorescence staining was performed to count the proportion of cells producing pseudopodia,the relative length of pseudopodia was measured,and the expression levels of CD41 and CD42b mRNA were assessed. Cells from the solvent control group and the 400 μg/mL LZD group,cultured in differentiation medium for 14 days,were extracted and subjected to non-targeted metabolomics and targeted energy metabolomics analysis using liquid chromatography-tandem mass spectrometry. The relative content of pyruvate in cells,after being cultured for 14 days with the addition of pyruvate (10 mmol/L) or LZD (400 μg/mL)+pyruvate (10 mmol/L),was measured and observed,as well as its effects on cell proliferation and platelet precursor generation. RESULTS 400 μg/mL LZD could significantly inhibit the proliferation of MEG-01 cells and the generation of platelet precursors (P<0.01). Non-targeted metabolomic analysis of MEG-01 cells after 400 μg/mL LZD treatment revealed significant changes in energy metabolism-related pathways such as mTOR signaling pathway,alanine,aspartate and glutamate metabolism,and central carbon metabolism in cancer. Targeted energy metabolomic analysis further showed that the relative contents of adenosine triphosphate,guanosine triphosphate,and pyruvate in MEG-01 cells were significantly reduced (P<0.01),while the relative contents of lactate were significantly increased (P<0.01). Compared with the LZD group,the relative content of pyruvate,cell count,the proportion of cells producing pseudopodia and the relative length of pseudopodia were significantly increased in the LZD+pyruvate group (P<0.01). CONCLUSIONS LZD may reduce pyruvate production by inhibiting mitochondrial energy metabolism,thereby suppressing megakaryocyte proliferation and platelet precursor production,ultimately leading to the occurrence of thrombocytopenia.

OBJECTIVES: The aims of this study were to update the latest data on the prevalence of hypertension (HTN) in the elderly Chinese population and to assess relationships between new anthropometric indices and HTN. METHODS: Data were obtained from the Basic Public Health Service (BPHS) survey for Jiangsu Province, China. A total of 944,760 people aged 65 years and older were included in this study. Blood pressure was measured by trained investigators. Body weight, body mass index (BMI), waist circumference (WC), waist-to-height ratio (WtHR), conicity index (COI), body roundness index (BRI), and a body shape index (ABSI) were included in the analysis as anthropometric indices. Logistic regression analysis and restricted cubic splines were used to evaluate the association of anthropometric indices with HTN. RESULTS: The prevalence of HTN among elderly residents of Jiangsu Province was 64.7% (95% confidence interval, 64.6 to 64.8). After adjusting for multiple covariates, all anthropometric indices except ABSI showed significant non-linear positive dose-response associations with HTN across sex (pnonlinear<0.001). Among participants with BMI <28 kg/m2, abnormal weight, WC, WtHR, BRI, COI, and ABSI were positively associated with HTN. CONCLUSIONS The prevalence of HTN in the elderly in Jiangsu Province is gradually increasing. It is necessary to consider the combination of ABSI and COI with BMI for screening elderly individuals for HTN in follow-up prospective studies.