BACKGROUND: The available evidence regarding the benefits of percutaneous coronary intervention (PCI) on patients receiving dialysis with coronary artery disease (CAD) is limited and inconsistent. This study aimed to evaluate the association between PCI and clinical outcomes as compared with medical therapy alone in patients undergoing dialysis with CAD in China. METHODS: This multicenter, retrospective study was conducted in 30 tertiary medical centers across 12 provinces in China from January 2015 to June 2021 to include patients on dialysis with CAD. The primary outcome was major adverse cardiovascular events (MACE), defined as a composite of cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke. Secondary outcomes included all-cause death, the individual components of MACE, and Bleeding Academic Research Consortium criteria types 2, 3, or 5 bleeding. Multivariable Cox proportional hazard models were used to assess the association between PCI and outcomes. Inverse probability of treatment weighting (IPTW) and propensity score matching (PSM) were performed to account for potential between-group differences. RESULTS: Of the 1146 patients on dialysis with significant CAD, 821 (71.6%) underwent PCI. After a median follow-up of 23.0 months, PCI was associated with a 43.0% significantly lower risk for MACE (33.9% [ n  = 278] vs . 43.7% [ n  = 142]; adjusted hazards ratio 0.57, 95% confidence interval 0.45-0.71), along with a slightly increased risk for bleeding outcomes that did not reach statistical significance (11.1% vs . 8.3%; adjusted hazards ratio 1.31, 95% confidence interval, 0.82-2.11). Furthermore, PCI was associated with a significant reduction in all-cause and cardiovascular mortalities. Subgroup analysis did not modify the association of PCI with patient outcomes. These primary findings were consistent across IPTW, PSM, and competing risk analyses. CONCLUSION This study indicated that PCI in patients on dialysis with CAD was significantly associated with lower MACE and mortality when comparing with those with medical therapy alone, albeit with a slightly increased risk for bleeding events that did not reach statistical significance.
Humans ; Percutaneous Coronary Intervention/methods* ; Male ; Female ; Coronary Artery Disease/drug therapy* ; Retrospective Studies ; Renal Dialysis/methods* ; Middle Aged ; Aged ; China ; Proportional Hazards Models ; Treatment Outcome

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.

Objectives:Coronary slow flow(CSF)has long been regarded as a marker of coronary microvascular dysfunction(CMD).This study aims to evaluate the diagnostic value of CSF for CMD in patients with angina and nonobstructive coronary arteries(ANOCA).Methods:The study data were derived from the ANOCA-CMD prospective cohort study.All enrolled patients underwent coronary angiography and concurrent coronary physiological assessments in the left anterior descending artery using pressure-wire and thermodilution techniques to obtain coronary flow reserve(CFR)and the index of microcirculatory resistance(IMR).Based on the results,CMD was classified into four subtypes:CMD with elevated IMR(IMR≥25),CMD with reduced CFR(CFR<2.5),CMD with either reduced CFR or elevated IMR(CFR<2.5 or IMR≥25),and CMD with both reduced CFR and elevated IMR(CFR<2.5 and IMR≥25).The corrected thrombolysis in myocardial infarction(TIMI)frame count(CTFC)in the left anterior descending artery was calculated from coronary angiography images,with CSF defined as CTFC>27.This study evaluated the correlation between CTFC,CFR,and IMR,and investigated the diagnostic value of CSF for CMD in ANOCA patients.Results:A total of 103 ANOCA patients were enrolled in this study,with a mean age of(64.2±10.6)years,and 53.4％were female.Among them,57 patients(55.3％)were diagnosed with coronary slow flow.Patients with slow flow had higher IMR(P<0.001)and CFR(P=0.041).Similarly,the proportion of CMD with elevated IMR was higher in the slow flow group(P<0.001),while the proportion of CMD with reduced CFR was lower(P=0.044).There was no significant difference between the groups in the proportions of CMD with either reduced CFR or elevated IMR or CMD with both reduced CFR and elevated IMR(all P>0.05).CTFC was positively correlated with hyperemic mean transit time(r=0.424,P<0.001),IMR(r=0.430,P<0.001),and CFR(r=0.211,P=0.032).The area under the curve(AUC)of CTFC for diagnosing CMD with elevated IMR was 0.721(95％CI:0.623-0.819)with an accuracy of 67％(57％,76％),for diagnosing CMD with reduced CFR was 0.610(95％CI:0.499-0.720)with an accuracy of 60％(50％,70％),for diagnosing CMD with either reduced CFR or elevated IMR was 0.549(95％CI:0.425-0.673)with an accuracy of 47％(37％,57％),and for diagnosing CMD with both reduced CFR and elevated IMR was 0.582(95％CI:0.471-0.693)with an accuracy of 47％(37％,57％).Thus,CSF demonstrated limited diagnostic values across all subtypes of CMD.Conclusions:In ANOCA patients,CSF cannot serve as an effective diagnostic marker for CMD.Therefore,in clinical practice,the slow flow phenomenon should not be directly equated with the presence of coronary microvascular dysfunction in ANOCA patients.

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.

Objectives:Coronary slow flow(CSF)has long been regarded as a marker of coronary microvascular dysfunction(CMD).This study aims to evaluate the diagnostic value of CSF for CMD in patients with angina and nonobstructive coronary arteries(ANOCA).Methods:The study data were derived from the ANOCA-CMD prospective cohort study.All enrolled patients underwent coronary angiography and concurrent coronary physiological assessments in the left anterior descending artery using pressure-wire and thermodilution techniques to obtain coronary flow reserve(CFR)and the index of microcirculatory resistance(IMR).Based on the results,CMD was classified into four subtypes:CMD with elevated IMR(IMR≥25),CMD with reduced CFR(CFR<2.5),CMD with either reduced CFR or elevated IMR(CFR<2.5 or IMR≥25),and CMD with both reduced CFR and elevated IMR(CFR<2.5 and IMR≥25).The corrected thrombolysis in myocardial infarction(TIMI)frame count(CTFC)in the left anterior descending artery was calculated from coronary angiography images,with CSF defined as CTFC>27.This study evaluated the correlation between CTFC,CFR,and IMR,and investigated the diagnostic value of CSF for CMD in ANOCA patients.Results:A total of 103 ANOCA patients were enrolled in this study,with a mean age of(64.2±10.6)years,and 53.4％were female.Among them,57 patients(55.3％)were diagnosed with coronary slow flow.Patients with slow flow had higher IMR(P<0.001)and CFR(P=0.041).Similarly,the proportion of CMD with elevated IMR was higher in the slow flow group(P<0.001),while the proportion of CMD with reduced CFR was lower(P=0.044).There was no significant difference between the groups in the proportions of CMD with either reduced CFR or elevated IMR or CMD with both reduced CFR and elevated IMR(all P>0.05).CTFC was positively correlated with hyperemic mean transit time(r=0.424,P<0.001),IMR(r=0.430,P<0.001),and CFR(r=0.211,P=0.032).The area under the curve(AUC)of CTFC for diagnosing CMD with elevated IMR was 0.721(95％CI:0.623-0.819)with an accuracy of 67％(57％,76％),for diagnosing CMD with reduced CFR was 0.610(95％CI:0.499-0.720)with an accuracy of 60％(50％,70％),for diagnosing CMD with either reduced CFR or elevated IMR was 0.549(95％CI:0.425-0.673)with an accuracy of 47％(37％,57％),and for diagnosing CMD with both reduced CFR and elevated IMR was 0.582(95％CI:0.471-0.693)with an accuracy of 47％(37％,57％).Thus,CSF demonstrated limited diagnostic values across all subtypes of CMD.Conclusions:In ANOCA patients,CSF cannot serve as an effective diagnostic marker for CMD.Therefore,in clinical practice,the slow flow phenomenon should not be directly equated with the presence of coronary microvascular dysfunction in ANOCA patients.

The treatment of acute Stanford type A aortic dissection has always been extremely challenging. Organ malperfusion syndrome is a common severe complication of acute aortic dissection, which can cause organ ischemia and internal environment disorder. Malperfusion increases early mortality, and impacts the long-term prognosis. In recent years, many scholars have done some studies on aortic dissection complicated with malperfusion. They explored the pathogenesis, proposed new classification, and innovated new treatment strategies. However, at present, the treatment strategies of acute Stanford type A aortic dissection complicated with organ malperfusion are different at different centers and consensus on its treatment is still lacking. Therefore, this review summarized the pathogenesis, classification, treatment strategy, and prognosis of acute Stanford type A aortic dissection complicated with malperfusion.

Objective To propose a deep learning neural network approach for transforming megavoltage computed tomography(MVCT)images of cervical cancer into pseudo kilovoltage computed tomography(kVCT)images with high signal-to-noise ratio and contrast-to-noise ratio,thus providing three-dimensional anatomical images and localization information required for adaptive radiotherapy of cervical cancer,and guiding the accelerator to achieve precise treatment.Methods The MVCT and kVCT images of 54 patients treated with cervical cancer radiotherapy were collected,with 44 cases randomly selected as the training set,and the remaining 10 cases as the test set.A cyclic generative adversarial network with gating mechanism and multi-channel data input was used to synthesize pseudo-kVCT images from MVCT images.The network training results were evaluated with imaging quality evaluation parameters,such as mean absolute error(MAE),peak signal-to-noise ratio(PSNR),and structural similarity index(SSIM).Results The MAE,PSNR,and SSIM of MVCT imagesvspseudo-kVCT(5:5)images were(24.9±0.7)HUvs(17.8±0.3)HU,(29.8±0.2)dBvs(30.7±0.2)dB,and 0.841±0.007 vs 0.898±0.003,respectively.Conclusion The generated pseudo-kVCT images have advantages in noise reduction and contrast enhancement,and can reduce the need for additional MV-kVCT electron density calibration in dose calculations.The dose calculation ability of pseudo-kVCT is comparable to that of MVCT,providing a possibility for the application of pseudo-kVCT images in image-guided adaptive radiotherapy.

Objective: To investigate the effects of tanshinone ⅡA on atherosclerosis plaque formation and adventitial mast cells activation in high-fat-diet induced Apo E^-/- mice model. Methods: Sixteen 8-week-old Apo E^-/-male mice and eight 8-week-old C57BL/6 male mice were randomly allocated into following group: the control group (C57BL/6 + carboxymethyl cellulose per gavage), the atherogenic group (Apo E^-/-+carboxymethyl cellulose per gavage) and the tanshinoneⅡA intervention group (Apo E^-/-+30 mg/kg tanshinone ⅡA per gavage). All three groups were fed with high-fat-diet for 26 weeks. Tanshinone ⅡA/carboxymethyl cellulose was applied by the method of gavage administration 6 weeks before execution. After 26 weeks, tumor necrosis factor-α (TNF-α) andinterleukin (IL)-6 levels in serum were assessed by ELISA. Carotid artery was removed, fixed with paraformaldehyde, embedded with paraffin and sectioned. Percentage of stenosis was evaluated on HE stained sections. Plaque progression was assessed by Movat staining. Toluidine blue staining was used to evaluate mast cells infiltration and activation. Immunochemistry staining was used to assess 5-HT, TNF-α and IL-6 expression. mRNA expression of mast cell marker Fcer1a in adventitial tissue was detected by real time-PCR. Results: After high-fat-diet for 26 weeks, the mice in the atherogenic group showed advanced atherosclerosis, tanshinoneⅡA intervention reduced the percentage of carotid artery stenosis caused by atherosclerotic plaque formation ((58.48±8.07)% vs. (80.31±4.08)%, P<0.05). Compared with the atherogenic group, tanshinone ⅡA intervention group had lower level of TNF-α ((12.39±1.62)pg/ml vs. (17.44±1.42)pg/ml) and IL-6 ((116.24±12.16)pg/ml vs. (166.05±19.09)pg/ml) in serum, lower TNF-α ((20 145±1 556) vs. (25 288±1 671)) and IL-6 ((25 688±1 604) vs. (35 286±4 198)) expression in adventitia (all P<0.05). TanshinoneⅡA intervention also decreased the number of mast cells infiltration and activation, reduced 5-HT expression and mast cell marker Fcer1a mRNA relative expression in adventitia (all P<0.05). Conclusions Tanshinone ⅡA could attenuate induced by high-fat-diet carotid artery atherosclerosis in Apo E^-/- mice. The protective effect of tanshinoneⅡA is probably mediated through reducing the number and activation percentage of mast cells, decreasing the release of inflammatory cytokines and inflammation of carotid artery in adventitia.

Objective To investigate the effects of tanshinoneⅡA on atherosclerosis plaque formation and adventitial mast cells activation in high?fat?diet induced Apo E?/?mice model. Methods Sixteen 8?week?old Apo E?/?male mice and eight 8?week?old C57BL/6 male mice were randomly allocated into following group: the control group (C57BL/6+carboxymethyl cellulose per gavage), the atherogenic group (Apo E?/?+carboxymethyl cellulose per gavage) and the tanshinoneⅡA intervention group (Apo E?/?+30 mg/kg tanshinoneⅡA per gavage). All three groups were fed with high?fat?diet for 26 weeks. TanshinoneⅡA/carboxymethyl cellulose was applied by the method of gavage administration 6 weeks before execution. After 26 weeks, tumor necrosis factor?α (TNF?α) andinterleukin (IL)?6 levels in serum were assessed by ELISA. Carotid artery was removed, fixed with paraformaldehyde, embedded with paraffin and sectioned. Percentage of stenosis was evaluated on HE stained sections. Plaque progression was assessed by Movat staining. Toluidine blue staining was used to evaluate mast cells infiltration and activation. Immunochemistry staining was used to assess 5?HT, TNF?α and IL?6 expression. mRNA expression of mast cell marker Fcer1a in adventitial tissue was detected by real time?PCR. Results After high?fat?diet for 26 weeks, the mice in the atherogenic group showed advanced atherosclerosis, tanshinoneⅡA intervention reduced the percentage of carotid artery stenosis caused by atherosclerotic plaque formation ((58.48±8.07)% vs. (80.31±4.08)%, P<0.05). Compared with the atherogenic group, tanshinoneⅡA intervention group had lower level of TNF?α ((12.39 ± 1.62)pg/ml vs. (17.44 ± 1.42)pg/ml) and IL?6 ((116.24 ± 12.16)pg/ml vs. (166.05 ± 19.09)pg/ml) in serum, lower TNF?α ((20 145±1 556) vs. (25 288±1 671)) and IL?6 ((25 688±1 604) vs. (35 286±4 198)) expression in adventitia (all P<0.05). TanshinoneⅡA intervention also decreased the number of mast cells infiltration and activation, reduced 5?HT expression and mast cell marker Fcer1a mRNA relative expression in adventitia (all P<0.05). Conclusions TanshinoneⅡA could attenuate induced by high?fat?diet carotid artery atherosclerosis in Apo E?/?mice. The protective effect of tanshinoneⅡA is probably mediated through reducing the number and activation percentage of mast cells, decreasing the release of inflammatory cytokines and inflammation of carotid artery in adventitia.

Objective: To establish the mouse aorta dissection (AD) model through drinking water containing β-aminopropionitrile (BAPN). Methods: Forty 3-week-old C57B1/6J male mice were divided into four groups according to randomized block design: control, 0.2, 0.4 and 0.8 g·kg^-1·d^-1 BAPN groups (dissolving respective dose of BAPN in the drinking water, n=10 each group). Arterial systolic blood pressure and heart rate were measured weekly in conscious, restrained mice using a noninvasive computerized tail-cuff system. Mice those died of rupture of aortic dissecting aneurysm during the study were autopsied and the aorta was examined. After 4 weeks, survived mice were sacrificed by an overdose of sodium pentobarbital and the whole aorta was harvested and analyzed. Results: The incidence of AD and the mortality of ruptured AD was 0 and 0 in control group, 30% (3/10) and 20% (2/10) in 0.2 g·kg^-1·d^-1 BAPN group, 50% (5/10) and 40% (4/10) in 0.4 g·kg^-1·d^-1 BAPN group, 90% (9/10) and 70% (7/10) in 0.8 g·kg^-1·d^-1 BAPN group (both P<0.05 vs. control group). The incidence of AD and the mortality of ruptured AD increased in proportion to BAPN concentration increase. In 0.8 g·kg^-1·d^-1 BAPN group, 7 mice died of dissecting aneurysm rupture during the experiment, among which 5 dissecting aneurysms were mainly located in the thoracic aorta and 2 dissecting aneurysms in abdominal aorta. The diameters of thoracic aorta and abdominal aorta were (1.38±0.19) and (1.23±0.13) mm in control group, (2.43±1.56) and (1.30±0.26) mm in 0.2 g·kg^-1·d^-1 BAPN group, (2.45±1.28) and (1.30±0.31) mm in 0.4 g·kg^-1·d^-1 BAPN group, (2.87±0.57) and (1.95±0.81) mm in 0.8 g·kg^-1·d^-1 BAPN group (both P<0.05 vs. control group). The diameters of thoracic aorta and abdominal aorta in mice also increased in proportion with BAPN concentration increase. Furthermore, blood-filled false lumen formation and elastic fibers fragmentation were evidenced in hematoxylin-eosin stained and Vitoria blue-Sirius red stained aortic cross-sections of mice in the 0.8 g·kg^-1·d^-1 BAPN group. Conclusion BAPN treatment induced aortic dissection model in C57Bl/6J mice can serve as a useful wild-type mouse model for the mechanism and pharmaceutical studies of AD.