1.The correlation between abnormal metabolic indexes and the severity of coronary artery lesions in patients with acute coronary syndrome
Yajun ZHAO ; Ming LIU ; Yuxiang DAI ; Xiaopan LI ; Xuelin CHENG ; Qizhe WANG ; Ru LIU ; Yaxin XU ; Sunfang JIANG
Chinese Journal of Clinical Medicine 2025;32(3):441-448
Objective To explore the influencing factors of coronary artery lesion severity in patients with acute coronary syndrome (ACS). Methods Clinical data of ACS patients admitted to Zhongshan Hospital, Fudan University from December 2017 to December 2019 were consecutively collected. The modified Gensini score was used to assess the severity of coronary artery lesions. Univariate and multivariate linear regression analyses were performed to identify independent factors associated with coronary artery lesion severity. Results A total of 1 689 ACS patients were included, with an average age of (64.04±11.45) years; 1 353 (80.11%) were male, and the mean modified Gensini score was (8.12±4.03). Multivariate linear regression analysis revealed that sex (β=0.97, P=0.001), age (β=0.03, P=0.021), estimated glomerular filtration rate (eGFR; β=-0.03, P<0.001), low-density lipoprotein cholesterol (LDL-C; β=0.58, P<0.001), apolipoprotein A1 (Apo A1; β=-1.28, P=0.012), lipoprotein(a) [Lp(a); β=0.001, P=0.033], and glycated hemoglobin A1C (HbA1C; β=0.45, P<0.001) were independent influencing factors of the modified Gensini score. Conclusions Metabolic indicators, including Apo A1, LDL-C, HbA1C, and Lp(a), may serve as risk factors for coronary artery lesion severity in ACS patients, with Apo A1 demonstrating the strongest impact.
2.Summary of the best evidence for early rehabilitation of ICU-acquired swallowing dysfunction.
Qianqian PENG ; Ruixiang SUN ; Xiaopan XU ; Ke FANG ; Haijiao JIANG ; Xiancui ZHANG
Chinese Critical Care Medicine 2025;37(8):755-761
OBJECTIVE:
To systematically search and integrate the best evidence for early rehabilitation of ICU-acquired swallowing dysfunction (ICU-ASD) using evidence-based medicine methods, providing high-quality evidence-based support for intensive care unit (ICU) healthcare professionals in implementing early rehabilitation assessment and intervention strategies for ICU-ASD.
METHODS:
The systematic search was conducted according to the "6S" pyramid evidence model. Multiple authoritative databases and resources were comprehensively searched, including: National Guideline Clearinghouse (NGC), National Institute for Health and Care Excellence (NICE), Canadian Medical Association Clinical Practice Guidelines Library (CMACPGL), New Zealand Guidelines Group (NZGG), Guidelines International Network (GIN), Registered Nurses' Association of Ontario (RNAO), Scottish Intercollegiate Guidelines Network (SIGN), PubMed/Medline, Cochrane Library, Embase, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Science, JBI Evidence-Based Health Care Database, Physiotherapy Evidence Database (PEDro), Chinese Medical Pulse Guidelines Website, SinoMed, CNKI, Wanfang Data, UpToDate, BMJ Best Practice, and professional association websites. The search encompassed guidelines, expert consensus statements, original studies [including cohort studies, quasi-experimental studies, and randomized controlled trials (RCT)], systematic reviews, and evidence summaries related to the prevention and management of ICU-ASD. The search period was limited from the inception of each database to November 30, 2024. The best evidence for early rehabilitation of ICU-ASD was summarized. The quality assessment of the literature and the extraction and synthesis of evidence were independently performed by two researchers with expertise in evidence-based medicine methodology.
RESULTS:
A total of 16 articles were included, consisting of 1 clinical decision-making study, 1 cohort study, 2 guidelines, 2 RCTs, 6 systematic reviews, 1 evidence summary, 2 expert consensuses, and 1 expert opinion. Following quality assessment, all 16 articles were incorporated into the analysis. For the early rehabilitation of ICU-ASD, five major themes were ultimately identified and 25 best evidence items were summarized, focusing on: multidisciplinary collaboration, swallowing screening and assessment, rehabilitation interventions, dietary and nutritional management, and oral hygiene.
CONCLUSIONS
The evidence summary provides individualized rehabilitation strategies for ICU-ASD patients, but their implementation still needs to be adapted to China's clinical practice context and patient preferences.
Humans
;
Deglutition Disorders/etiology*
;
Intensive Care Units
;
Evidence-Based Medicine
3.Predictive value of serum hs-cTnT levels for major adverse cardiovascular events in patients with chronic coronary syndrome after PCI
Yaxin XU ; Ru LIU ; Qizhe WANG ; Xiaopan LI ; Yuxiang DAI ; Minghui PENG ; Sunfang JIANG
Chinese Journal of General Practitioners 2024;23(10):1029-1036
Objective:To investigate the correlation of serum high-sensitivity cardiac troponin T (hs-cTnT) level with major adverse cardiovascular events (MACE) in patients with chronic coronary syndrome (CCS) undergoing percutaneous coronary intervention (PCI) and to explore its predictive value.Methods:It was a case-control study. Clinical data of 731 patients with CCS who underwent PCI in the Affiliated Zhongshan Hospital of Fudan University between May 2019 and April 2020 were retrospectively analyzed. Baseline clinical characteristics and pre/postoperative laboratory results were gathered, and patients were followed up and the incidence of MACE was documented. The correlation of serum hs-cTnT levels with MACE was analyzed, and the threshold of hs-cTnT for predicting the occurrence of MACE was determined.Results:Among 731 patients there were 560 males (76.61%) with the age of (64.05±9.48) years. Patients were followed up for 29.9 (18.8, 35.3) months, and MACE occurred in 216 cases (MACE group), and did not occur in 515 cases (control group). The X-tile software analysis showed that the optimal cutoff value of post-PCI hs-cTnT was 4.17×upper reference limit (URL) for predicting MACE ( P=0.033). Multivariate Cox regression analysis revealed that postoperative cTnT>6×URL was an independent risk factor for MACE in CCS patients after PCI ( HR=1.87, 95% CI: 1.19-2.94, P=0.007). The net reclassification index pairwise comparison results indicated that hs-cTnT>6×URL had the better predictive performance for MACE in CCS patients after PCI compared to 7×URL, 8×URL, 9×URL, 10×URL and 15×URL (all P<0.05). Conclusion:Postoperative hs-cTnT>6×URL is an independent risk factor for MACE in CCS patients after PCI, and hs-cTnT>6×URL is the optimal threshold for predicting the risk of MACE.
4.Research progress on risk prediction models for cognitive frailty among the elderly in the community
Yingzhen WANG ; Min DONG ; Ling MENG ; Xiaopan XU ; Beirong MO
Chinese Journal of Modern Nursing 2023;29(35):4887-4891
Cognitive frailty is a heterogeneous clinical syndrome with cumulative effects in the negative events. The key link of prevention and management of cognitive frailty is to carry out community-based screening, effectively integrate and identify the predictive factors of cognitive frailty, early control the risk factors of cognitive frailty, and reduce the incidence. Building risk prediction models for disease diagnosis and risk prediction gradually becomes a research hotspot. This paper summarizes the risk factors, overview of risk prediction models, and comparison of different risk prediction models for cognitive frailty among the elderly in the community, in order to provide reference for grassroots medical and nursing staff to intervene in cognitive frailty among the elderly in the community.
5.Texture features based on high-order derivative maps for differentiation of bladder cancer
Xiaopan XU ; Xuehan CAO ; Juanli YUAN ; Hongbing LU ; Bowei CAO
Chinese Medical Equipment Journal 2017;38(6):12-16
Objective To determine the three-dimensional (3D) texture features extracted from intensity and high-order derivative maps that could reflect textural differences between bladder tumors and wall tissues,in order to achieve bladder cancer and wall tissue identification.Methods A total of 62 cancerous and 62 wall volumes of interest (VOI) were extracted from T2-weighted MRI datasets of 62 patients with pathologically confirmed bladder cancer.To reflect heterogeneous distribution of tumor tissues,3D high-order derivative maps (the gradient and curvature maps) were calculated from each VOI.Then 3D Haralick features based on intensity and high-order derivative maps and Tamura features based on intensity maps were extracted from each VOI.Statistical analysis was proposed to first select the features with significant differences and then obtain a more predictive and compact feature subset to verify its differentiation performance.Results From each VOI,a total of 58 texture features were derived.Among them,37 features showed significant inter-class differences (P≤ 0.01).Conclusion The results suggest that 3D texture features deriving from intensity and high-order derivative maps can reflect heterogeneous distribution of cancerous tissues.

Result Analysis
Print
Save
E-mail