1.Overview of Real-time Delphi Method and Its Application in Guidelines
Haiyun WANG ; Ruobing LEI ; Xuan YU ; Hui LIU ; Qiu LI ; Yaolong CHEN
Medical Journal of Peking Union Medical College Hospital 2025;16(6):1571-1577
The real-time Delphi method represents a refinement of the classical Delphi technique, designed to overcome limitations such as prolonged study duration and delayed feedback during consensus development. This article, building upon the classical Delphi foundation, systematically elaborates on the application process, advantages, and limitations of the real-time Delphi method. It further presents currently available websites or software capable of facilitating real-time Delphi exercises and offers considerations and recommendations for its application in guideline development, aiming to serve as a reference for relevant researchers.
2.Role of neutrophil extracellular traps in hepatocellular carcinoma
Xueru TIAN ; Weiyu CHEN ; Luyi YAN ; Yang HONG ; Han WANG ; Shouqin LIU ; Lei QING ; Guojuan MA ; Dewen MAO ; Chun YAO
Journal of Clinical Hepatology 2025;41(11):2410-2417
Hepatocellular carcinoma (HCC) is a malignant tumor with high incidence and mortality rates worldwide. Recent studies have shown that neutrophil extracellular traps (NETs) play an important role in the development, progression, and immune escape of HCC. NETs are released by neutrophils and mainly consist of DNA, histones, and antimicrobial molecules, and in addition to immune defense, they are also involved in the initiation, metastasis, and thrombosis of HCC. This article elaborates on the formation and regulatory mechanisms of NETs, explores their potential mechanisms in the initiation, metastasis, immune escape, and thrombosis of HCC, and discusses the prospect of NETs as a target for the diagnosis and treatment of HCC, in order to provide new ideas for the precise treatment of HCC in the future and promote the early diagnosis and effective treatment of HCC.
3.Expression of METTL5 and VIRMA in hepatocellular carcinoma and their relationship with clinical prognosis
Hong CHEN ; Lei LIU ; Huayou ZHOU ; Hua YANG ; Rui YANG
International Journal of Laboratory Medicine 2025;46(9):1060-1065
Objective To investigate the expression of methyltransferase like protein 5(METTL5)and Vi-ral like m6A methyltransferase associated(VIRMA)in hepatocellular carcinoma(HCC)and their relationship with clinical prognosis.Methods A total of 89 HCC patients who visited the hospital from March 2018 to March 2021 were enrolled in the study.Immunohistochemistry and fluorescence quantitative PCR were con-ducted to analyze the expression of METTL5,VIRMA protein and mRNA in tissues.Kaplan-Meier curve and COX regression were used to analyze the impact of METTL5 and VIRMA proteins on the prognosis of HCC.Results The METTL5 mRNA(3.23±0.55 vs.0.61±0.20)and VIRMA mRNA(2.97±0.42 vs.0.58±0.17)in HCC cancer tissue were higher than those in adjacent tissues,and the differences were statistically significant(t=42.234,49.762,both P<0.001).METTL5 and VIRMA proteins were located in the cyto-plasm and cell membrane,with some in the nucleus.The positive rates of METTL5[71.91%(64/89)vs.5.62%(5/89)]and VIRMA[69.66%(62/89)vs.6.74%(6/89)]in HCC cancer tissues were higher than those in adjacent tissues,and the differences were statistically significant(x2=82.385,74.627,P<0.001,P=0.001).The expression of METTL5 and VIRMA proteins in HCC were related to China Liver Cancer Staging(CNLC)stages,maximum tumor diameter,and vascular invasion,and the positive rates of METTL5 and VIRMA proteins were higher in HCC cancer tissues with CNLC stage Ⅱ-Ⅲ,maximum tumor diameter≥ 5 cm,and vascular invasion(P<0.05).The 3-year survival rates of METTL5 positive and negative groups were 34.88%(15/43)and 67.39%(31/46),with statistically significant differences(Log-rank x2=7.893,P=0.005).The 3-year survival rates of the VIRMA positive and negative groups were 36.36%(16/44)and 66.67%(30/45),with statistically significant differences(Log-rank x2=9.828,P=0.002).CNLC staging stages Ⅱ-Ⅲ,maximum tumor diameter ≥5 cm,vascular invasion,METTL5 positivity,and VIRMA positivi-ty were risk factors for poor prognosis in HCC patients(P<0.05).Conclusion The upregulation of MET-TL5 and VIRMA expression in HCC are associated with CNLC stage Ⅱ-Ⅲ,maximum tumor diameter and vascular invasion,and both of them are tumor markers for evaluating the prognosis of HCC.
4.BNP,AngⅡ,Apelin levels and their correlation with cardiac function in hypertensive patients with heart failure
Lei SONG ; Hong-lei ZHANG ; Yu-min YUAN ; Jian CHEN
Chinese Journal of cardiovascular Rehabilitation Medicine 2025;34(2):150-155
Objective:To investigate the levels of brain natriuretic peptide(BNP),angiotensin Ⅱ(AngⅡ)and Apelin in hypertensive patients with heart failure and their correlation with cardiac function.Methods:A total of 110 pa-tients with hypertension and heart failure(observation group),110 hypertensive patients(hypertension control group)and 100 healthy subjects undergoing physical examination simultaneously(healthy control group)admitted to Chongming Hospital Affiliated to Shanghai University of Medicine & Health Sciences between January 2021 and Oc-tober 2022 were enrolled.BNP,AngⅡ and Apelin levels were compared among above-mentioned groups.Pearson correlation analysis was employed to analyze association of above indexes with cardiac function.Receiver operating characteristic(ROC)curve was used to analyze the diagnostic value of BNP,AngⅡ and Apelin combination for hy-pertension combined heart failure.Results:Compared with participants in healthy control group and hypertension control group,those in observation group had significant higher BNP,AngⅡ,Apelin and left ventricular end-dias-tolic diameter(LVEDd),and significant lower left ventricular ejection fraction(LVEF)(P<0.001 all).Pearson correlation analysis showed that BNP,AngⅡ,Apelin were negatively correlated with LVEF(r=-0.607,-0.517,-0.549,P<0.001 all),while they were positively correlated with LVEDd(r=0.695,0.676,0.677,P<0.001 all).Compared with patients in class Ⅱ and class Ⅲ groups,those in class Ⅳ group had significant higher BNP[(501.42±65.58)pg/ml vs.(382.59±49.69)pg/ml vs.(409.58±53.58)pg/ml],AngⅡ[(3.24±0.84)ng/ml vs.(0.85±0.24)ng/ml vs.(1.06±0.41)ng/ml],Apelin[(6.53±0.71)pg/ml vs.(3.55±0.29)pg/ml vs.(4.98±0.56)pg/ml](P<0.001 all).ROC curve indicated that the AUC of the combined diagnosis of BNP,AngⅡ and Apelin for hypertensive patients with heart failure of class Ⅲ~Ⅳ was 0.943(95%CI 0.882~0.978),which was significantly higher than that of single index(Z=2.960,6.099,4.653,P<0.01 all).Conclusion:BNP,AngⅡ and Apelin combination has good performance in diagnosing hypertension complicated heart failure.
5.Changing resistance profiles of Haemophilus influenzae and Moraxella catarrhalis isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Hui FAN ; Chunhong SHAO ; Jia WANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Yunsheng CHEN ; Qing MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Wenqi SONG ; Kaizhen WEN ; Yirong ZHANG ; Chuanqing WANG ; Pan FU ; Chao ZHUO ; Danhong SU ; Jiangwei KE ; Shuping ZHOU ; Hua ZHANG ; Fangfang HU ; Mei KANG ; Chao HE ; Hua YU ; Xiangning HUANG ; Yingchun XU ; Xiaojiang ZHANG ; Wenen LIU ; Yanming LI ; Lei ZHU ; Jinhua MENG ; Shifu WANG ; Bin SHAN ; Yan DU ; Wei JIA ; Gang LI ; Jiao FENG ; Ping GONG ; Miao SONG ; Lianhua WEI ; Xin WANG ; Ruizhong WANG ; Hua FANG ; Sufang GUO ; Yanyan WANG ; Dawen GUO ; Jinying ZHAO ; Lixia ZHANG ; Juan MA ; Han SHEN ; Wanqing ZHOU ; Ruyi GUO ; Yan ZHU ; Jinsong WU ; Yuemei LU ; Yuxing NI ; Jingrong SUN ; Xiaobo MA ; Yanqing ZHENG ; Yunsong YU ; Jie LIN ; Ziyong SUN ; Zhongju CHEN ; Zhidong HU ; Jin LI ; Fengbo ZHANG ; Ping JI ; Yunjian HU ; Xiaoman AI ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Xuesong XU ; Chao YAN ; Yi LI ; Shanmei WANG ; Hongqin GU ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Jihong LI ; Bixia YU ; Cunshan KOU ; Jilu SHEN ; Wenhui HUANG ; Xiuli YANG ; Likang ZHU ; Lin JIANG ; Wen HE ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):30-38
Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91%of the total clinical isolates and 4.07%of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89%were isolated from children and 33.11%were isolated from adults.More than 90%of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79%in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06%were isolated from children and 19.94%isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0%.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.
6.Changing distribution and antimicrobial resistance profiles of clinical isolates in children:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Qing MENG ; Lintao ZHOU ; Yunsheng CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Chuanqing WANG ; Aimin WANG ; Lei ZHU ; Jinhua MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Zhiyong LÜ ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Fangfang HU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Wei JIA ; Gang LI ; Kaizhen WEN ; Yirong ZHANG ; Yan JIN ; Chunhong SHAO ; Yong ZHAO ; Ping GONG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Sufang GUO ; Jiao FENG ; Ziyong SUN ; Zhongju CHEN ; Wen'en LIU ; Yanming LI ; Xiaobo MA ; Yanping ZHENG ; Dawen GUO ; Jinying ZHAO ; Ruizhong WANG ; Hua FANG ; Lixia ZHANG ; Juan MA ; Jihong LI ; Zhidong HU ; Jin LI ; Yuxing NI ; Jingyong SUN ; Ruyi GUO ; Yan ZHU ; Yi XIE ; Mei KANG ; Yuanhong XU ; Ying HUANG ; Shanmei WANG ; Yafei CHU ; Hua YU ; Xiangning HUANG ; Lianhua WEI ; Fengmei ZOU ; Han SHEN ; Wanqing ZHOU ; Yunzhuo CHU ; Sufei TIAN ; Shunhong XUE ; Hongqin GU ; Xuesong XU ; Chao YAN ; Bixia YU ; Jinju DUAN ; Jianbang KANG ; Jiangshan LIU ; Xuefei HU ; Yunsong YU ; Jie LIN ; Yunjian HU ; Xiaoman AI ; Chunlei YUE ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2025;25(1):48-58
Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1%of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9%)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5%)was lower than that in inpatient children(31.5%).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1%)than in inpatient children(59.4%).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14%,11.7%,47.8%in outpatients,but 24.2%,20.6%,and 52.8%in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.
7.Surveillance of antimicrobial resistance in clinical isolates of Escherichia coli:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shanmei WANG ; Bing MA ; Yi LI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):39-47
Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)%.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0%vs 29.5%).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7%vs 7.8%,0.8%vs 0.1%,both P<0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)%with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9%and 1.8%,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1%).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10%.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P<0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.
8.Association between bile acid/short-chain fatty acid metabolic disorders and hepatic encephalopathy based on the traditional Chinese medicine theory of Yin and Yang
Luyi YAN ; Weiyu CHEN ; Han WANG ; Wenqian FENG ; Yang DU ; Xueru TIAN ; Yang HONG ; Dewen MAO ; Lei FU ; Chun YAO
Journal of Clinical Hepatology 2025;41(7):1443-1449
Hepatic encephalopathy is a neuropsychiatric syndrome secondary to severe liver disease.Recent studies have shown that the development of hepatic encephalopathy is closely associated with bile acid/short-chain fatty acid metabolic disorder.As the core theory of traditional Chinese medicine,the theory of Yin and Yang provides a unique perspective for analyzing the association between bile acids/short-chain fatty acids and hepatic encephalopathy.Bile acids function like Yang,governing the free flow of Qi and assisting in metabolic processes,while short-chain fatty acids belong to Yin,maintaining internal stability and conservation,preserving the intestinal barrier,and combating inflammation and toxins.Bile acids and short-chain fatty acids constrain each other and are interdependent to regulate the dynamic equilibrium of the gut-liver-brain axis.On this basis,by regulating the metabolic imbalance of bile acids and short-chain fatty acids,it is expected to restore the dynamic balance of Yin and Yang in patients with hepatic encephalopathy under the synergistic intervention of traditional Chinese medicine and Western medicine.
9.Clinical Characteristics and Prognostic Analysis of Newly Diagnosed Acute Myeloid Leukemia Patients with NRAS and KRAS Gene Mutations.
Zhang-Yu YU ; Bo CAI ; Yi WANG ; Yang-Yang LEI ; Bing-Xia LI ; Yu-Fang LI ; Yan-Ping SHI ; Jia-Xin CHEN ; Shu-Hong LIU ; Chang-Lin YU ; Mei GUO
Journal of Experimental Hematology 2025;33(3):682-690
OBJECTIVE:
To retrospectively analyze the clinical characteristics, co-mutated genes in newly diagnosed acute myeloid leukemia (AML) patients with NRAS and KRAS gene mutations, and the impact of NRAS and KRAS mutations on prognosis.
METHODS:
The clinical data and next-generation sequencing results of 80 newly diagnosed AML patients treated at our hospital from December 2018 to December 2023 were collected. The clinical characteristics, co-mutated genes of NRAS and KRAS , and the impact of NRAS and KRAS mutations on prognosis in newly diagnosed AML patients were analyzed.
RESULTS:
Among 80 newly diagnosed AML patients, NRAS mutations were detected in 20 cases(25.0%), and KRAS mutations were detected in 9 cases(11.3%). NRAS mutations predominantly occurred at codons 12 and 13 of exon 2, as well as codon 61 of exon 3, while KRAS mutations were most commonly occurred at codons 12 and 13 of exon 2, all of which were missense mutations. There were no statistically significant differences observed in terms of age, sex, white blood cell count(WBC), hemoglobin(Hb), platelet count(PLT), bone marrow blasts, first induction chemotherapy regimen, CR1/CRi1 rates, chromosome karyotype, 2022 ELN risk classification and allogeneic hematopoietic stem cell transplantation(allo-HSCT) among the NRAS mutation group, KRAS mutation group and NRAS/KRAS wild-type group (P >0.05). KRAS mutations were significantly correlated with PTPN11 mutations (r =0.344), whereas no genes significantly associated with NRAS mutations were found. Survival analysis showed that compared to the NRAS/KRAS wild-type group, patients with NRAS mutation had a relatively higher 5-year overall survival (OS) rate and relapse-free survival (RFS) rate, though the differences were not statistically significant (P =0.097, P =0.249). Compared to the NRAS/KRAS wild-type group, patients with KRAS mutation had a lower 5-year OS rate and RFS rate, with no significant differences observed (P =0.275, P =0.442). There was no significant difference in the 5-year RFS rate between the KRAS mutation group and NRAS mutation group (P =0.157), but the 5-year OS rate of patients with KRAS mutation was significantly lower than that of patients with NRAS mutation (P =0.037).
CONCLUSION
In newly diagnosed AML patients, KRAS mutation was significantly correlated with PTPN11 mutation. Compared to patients with NRAS/KRAS wild-type, those with NRAS mutation showed a more favorable prognosis, while patients with KRAS mutation showed a poorer prognosis; however, these differences did not reach statistical significance. Notably, the prognosis of AML patients with KRAS mutation was significantly inferior compared to those with NRAS mutation.
Humans
;
Leukemia, Myeloid, Acute/diagnosis*
;
Mutation
;
Prognosis
;
Proto-Oncogene Proteins p21(ras)/genetics*
;
GTP Phosphohydrolases/genetics*
;
Retrospective Studies
;
Membrane Proteins/genetics*
;
Female
;
Male
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Middle Aged
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Adult
;
Aged
10.Multiple biomarkers risk score for accurately predicting the long-term prognosis of patients with acute coronary syndrome.
Zhi-Yong ZHANG ; Xin-Yu WANG ; Cong-Cong HOU ; Hong-Bin LIU ; Lyu LYU ; Mu-Lei CHEN ; Xiao-Rong XU ; Feng JIANG ; Long LI ; Wei-Ming LI ; Kui-Bao LI ; Juan WANG
Journal of Geriatric Cardiology 2025;22(7):656-667
BACKGROUND:
Biomarkers-based prediction of long-term risk of acute coronary syndrome (ACS) is scarce. We aim to develop a risk score integrating clinical routine information (C) and plasma biomarkers (B) for predicting long-term risk of ACS patients.
METHODS:
We included 2729 ACS patients from the OCEA (Observation of cardiovascular events in ACS patients). The earlier admitted 1910 patients were enrolled as development cohort; and the subsequently admitted 819 subjects were treated as validation cohort. We investigated 10-year risk of cardiovascular (CV) death, myocardial infarction (MI) and all cause death in these patients. Potential variables contributing to risk of clinical events were assessed using Cox regression models and a score was derived using main part of these variables.
RESULTS:
During 16,110 person-years of follow-up, there were 238 CV death/MI in the development cohort. The 7 most important predictors including in the final model were NT-proBNP, D-dimer, GDF-15, peripheral artery disease (PAD), Fibrinogen, ST-segment elevated MI (STEMI), left ventricular ejection fraction (LVEF), termed as CB-ACS score. C-index of the score for predication of cardiovascular events was 0.79 (95% CI: 0.76-0.82) in development cohort and 0.77 (95% CI: 0.76-0.78) in the validation cohort (5832 person-years of follow-up), which outperformed GRACE 2.0 and ABC-ACS risk score. The CB-ACS score was also well calibrated in development and validation cohort (Greenwood-Nam-D'Agostino: P = 0.70 and P = 0.07, respectively).
CONCLUSIONS
CB-ACS risk score provides a useful tool for long-term prediction of CV events in patients with ACS. This model outperforms GRACE 2.0 and ABC-ACS ischemic risk score.

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