1.The constituent elements, experiences, and popularization significance of the palliative care model of integrated elderly care and medical services
Zehuan HUANG ; Mengdong XIN ; Lidan QI ; Long ZHAO ; Minyu WANG ; Lu QIN ; Zhenhua LU ; Zhao LI ; Yue HE ; Xi ZENG
Chinese Medical Ethics 2025;38(7):914-923
Under the trend of increasing aging, integrated elderly care and medical services is an important measure to optimize the supply of elderly care services and promote the good death of the elderly. Using the cooperative production theory and the classical grounded theory, a qualitative analysis was conducted on 38 cases of elderly palliative care and 25 cases of hospital-based palliative care under the integrated elderly care and medical services model from a hospital in Nanning City using Nvivo 20.0 software. This paper found that the integrated elderly care and medical services mode emphasized the deep integration of medical and elderly care services by integrating resources and improving service efficiency, to achieve the basic experience of comprehensive health care for the elderly. The promotion of these experiences has a positive significance for building a multi-agent cooperative production system, strengthening personnel training, perfecting the performance distribution mechanism, and further promoting the development of the national palliative care pilot.
2.Essential tremor plus affects disease prognosis: A longitudinal study.
Runcheng HE ; Mingqiang LI ; Xun ZHOU ; Lanqing LIU ; Zhenhua LIU ; Qian XU ; Jifeng GUO ; Xinxiang YAN ; Chunyu WANG ; Hainan ZHANG ; Irene X Y WU ; Beisha TANG ; Sheng ZENG ; Qiying SUN
Chinese Medical Journal 2025;138(1):117-119
3.Association between serum albumin levels after albumin infusion and 28-day mortality in critically ill patients with acute kidney injury.
Liupan ZHANG ; Xiaotong SHI ; Lulan LI ; Rui SHI ; Shengli AN ; Zhenhua ZENG
Journal of Southern Medical University 2025;45(5):1074-1081
OBJECTIVES:
To investigate the association of serum albumin level after human albumin infusion with 28-day mortality in critically ill patients with acute kidney injury (AKI) and its impact on 90-day outcomes of the patients.
METHODS:
We conducted a retrospective cohort study based on the MIMIC IV database (2008-2019), including 5918 AKI patients treated with albumin in the ICU. Based on serum albumin levels within 72 h after albumin infusion, the patients were divided into low (<30 g/L), medium (30-35 g/L), and high albumin (>35 g/L) groups. Restricted cubic spline regression and multivariate logistic regression were used to analyze the association of albumin levels with patient mortality, and the results were verified in a external validation cohort consisting of 110 sepsis-induced AKI patients treated in Nanfang Hospital between 2017 and 2022 using survival analysis and multivariate adjustment.
RESULTS:
In the MIMIC training cohort, multivariate logistic regression showed no significant differences in 28-day mortality of the patients with different albumin levels (P>0.05). However, restricted cubic spline analysis indicated a non-linear dose-response relationship between albumin levels and 28-day mortality (threshold effect: risk increased when albumin levels >3.6 g/dL). Secondary endpoint analysis revealed that the patients with high albumin levels had a shorter duration of mechanical ventilation (P<0.001) but a longer ICU stay (P<0.001). In the validation cohort, albumin levels ≥30 g/L were significantly associated with a reduced 28-day mortality rate (P<0.05).
CONCLUSIONS
The association between increased serum albumin levels following albumin infusion and 28-day mortality of critically ill patients with AKI exhibits a cohort dependency and can be influenced by multiple factors including disease type and severity, infusion strategies, and statistical methods.
Humans
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Acute Kidney Injury/therapy*
;
Critical Illness/mortality*
;
Retrospective Studies
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Serum Albumin/analysis*
;
Male
;
Female
;
Intensive Care Units
;
Middle Aged
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Logistic Models
;
Aged
4.BnaNRT1.5s mediates nitrate transporter to regulate nitrogen use efficiency in Brassica napus.
Shilong CHEN ; Lei YAO ; Rumeng WANG ; Jian ZENG ; Jianghe LI ; Shiyao CUI ; Xu WANG ; Haixing SONG ; Zhenhua ZHANG ; Pan GONG
Chinese Journal of Biotechnology 2025;41(7):2954-2965
Improving the nitrogen use efficiency (NUE) of Brassica napus is of significant importance for achieving the national goal of zero growth in chemical fertilizer application and ensuring the green development of the rapeseed industry. This study aims to explore the effects of the nitrate transporter gene BnaNRT1.5s on the nitrogen transport and NUE of B. napus, providing excellent genetic resources for the development of nitrogen-efficient B. napus varieties. The spatiotemporal expression of BnaA05.NRT1.5 as a key nitrogen responsive gene was profiled by qRT-PCR at different growth stages and for different tissue samples of B. napus 'Westar'. Subcellular localization was employed to examine its expression pattern in the cells. Additionally, CRISPR/Cas9 was used to create BnaNRT1.5s knockout lines, which were subjected to hydroponic experiments under high nitrogen (12.0 mmol/L) and low nitrogen (0.3 mmol/L) conditions. After the seedlings were cultivated for 21 days, root and shoot samples were collected for weighing, nitrogen content determination, xylem sap nitrate content assessment, and calculation of total nitrogen and NUE. The B. napus nitrate transporter BnaA05.NRT1.5 was localized to the cell membrane. During the seedling and early bolting stages, BnaA05.NRT1.5 was predominantly expressed in roots, while it was highly expressed in old leaves and mature silique skin during the reproductive stage. Compared with the wild type, the mutant BnaNRT1.5s showed significant increases in the dry weight and total nitrogen of seedlings under both high and low nitrogen conditions. Under low nitrogen conditions, NUE in the roots of BnaNRT1.5s significantly improved. Notably, under both high and low nitrogen conditions, the nitrate content in the shoots of BnaNRT1.5s decreased significantly, while that in the roots increased significantly, resulting in a significantly decreased shoot-to-root nitrate content ratio. BnaNRT1.5s is involved in regulating the transport of nitrate from the roots to the shoots, and its mutation enhances nitrogen absorption and utilization in B. napus seedlings, promoting seedling growth. This study not only provides references for understanding the physiological and molecular mechanisms by which BnaNRT1.5s regulates NUE but also offers valuable genetic resources for improving NUE in B. napus.
Brassica napus/genetics*
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Anion Transport Proteins/metabolism*
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Nitrogen/metabolism*
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Nitrate Transporters
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Plant Proteins/metabolism*
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Nitrates/metabolism*
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Gene Expression Regulation, Plant
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Biological Transport
5.Construction and validation of an in-hospital mortality risk prediction model for patients receiving VA-ECMO:a retrospective multi-center case-control study
Yue GE ; Jianwei LI ; Hongkai LIANG ; Liusheng HOU ; Liuer ZUO ; Zhen CHEN ; Jianhai LU ; Xin ZHAO ; Jingyi LIANG ; Lan PENG ; Jingna BAO ; Jiaxin DUAN ; Li LIU ; Keqing MAO ; Zhenhua ZENG ; Hongbin HU ; Zhongqing CHEN
Journal of Southern Medical University 2024;44(3):491-498
Objective To investigate the risk factors of in-hospital mortality and establish a risk prediction model for patients receiving venoarterial extracorporeal membrane oxygenation(VA-ECMO).Methods We retrospectively collected the data of 302 patients receiving VA-ECMO in ICU of 3 hospitals in Guangdong Province between January,2015 and January,2022 using a convenience sampling method.The patients were divided into a derivation cohort(201 cases)and a validation cohort(101 cases).Univariate and multivariate logistic regression analyses were used to analyze the risk factors for in-hospital death of these patients,based on which a risk prediction model was established in the form of a nomogram.The receiver operator characteristic(ROC)curve,calibration curve and clinical decision curve were used to evaluate the discrimination ability,calibration and clinical validity of this model.Results The in-hospital mortality risk prediction model was established based the risk factors including hypertension(OR=3.694,95%CI:1.582-8.621),continuous renal replacement therapy(OR=9.661,95%CI:4.103-22.745),elevated Na2+ level(OR=1.048,95%CI:1.003-1.095)and increased hemoglobin level(OR=0.987,95%CI:0.977-0.998).In the derivation cohort,the area under the ROC curve(AUC)of this model was 0.829(95%CI:0.770-0.889),greater than those of the 4 single factors(all AUC<0.800),APACHE Ⅱ Score(AUC=0.777,95%CI:0.714-0.840)and the SOFA Score(AUC=0.721,95%CI:0.647-0.796).The results of internal validation showed that the AUC of the model was 0.774(95%CI:0.679-0.869),and the goodness of fit test showed a good fitting of this model(χ2=4.629,P>0.05).Conclusion The risk prediction model for in-hospital mortality of patients on VA-ECMO has good differentiation,calibration and clinical effectiveness and outperforms the commonly used disease severity scoring system,and thus can be used for assessing disease severity and prognostic risk level in critically ill patients.
6.2024 ASCO-GU progress in non-clear cell renal cell carcinoma
Wen KONG ; Zhenhua LIU ; Jin ZHANG ; Hao ZENG
Chinese Journal of Urology 2024;45(4):251-253
One of the remarkable progresses regarding non-clear cell renal cell carcinoma in the 2024 ASCO-GU symposium was the survival update of KEYNOTE-B61 study, in which tyrosine kinase inhibitor plus immunotherapy (TKI-IO) combination maintained satisfactory efficacy and safety. The distinct response to immunotherapy between papillary versus chromophobe renal cell carcinoma was demonstrated closely correlated with tumor microenvironment. The fusion partner of TFE-rearranged renal cell carcinoma directly determined the tumor biological behavior and therapeutic response.
7.Construction and validation of an in-hospital mortality risk prediction model for patients receiving VA-ECMO:a retrospective multi-center case-control study
Yue GE ; Jianwei LI ; Hongkai LIANG ; Liusheng HOU ; Liuer ZUO ; Zhen CHEN ; Jianhai LU ; Xin ZHAO ; Jingyi LIANG ; Lan PENG ; Jingna BAO ; Jiaxin DUAN ; Li LIU ; Keqing MAO ; Zhenhua ZENG ; Hongbin HU ; Zhongqing CHEN
Journal of Southern Medical University 2024;44(3):491-498
Objective To investigate the risk factors of in-hospital mortality and establish a risk prediction model for patients receiving venoarterial extracorporeal membrane oxygenation(VA-ECMO).Methods We retrospectively collected the data of 302 patients receiving VA-ECMO in ICU of 3 hospitals in Guangdong Province between January,2015 and January,2022 using a convenience sampling method.The patients were divided into a derivation cohort(201 cases)and a validation cohort(101 cases).Univariate and multivariate logistic regression analyses were used to analyze the risk factors for in-hospital death of these patients,based on which a risk prediction model was established in the form of a nomogram.The receiver operator characteristic(ROC)curve,calibration curve and clinical decision curve were used to evaluate the discrimination ability,calibration and clinical validity of this model.Results The in-hospital mortality risk prediction model was established based the risk factors including hypertension(OR=3.694,95%CI:1.582-8.621),continuous renal replacement therapy(OR=9.661,95%CI:4.103-22.745),elevated Na2+ level(OR=1.048,95%CI:1.003-1.095)and increased hemoglobin level(OR=0.987,95%CI:0.977-0.998).In the derivation cohort,the area under the ROC curve(AUC)of this model was 0.829(95%CI:0.770-0.889),greater than those of the 4 single factors(all AUC<0.800),APACHE Ⅱ Score(AUC=0.777,95%CI:0.714-0.840)and the SOFA Score(AUC=0.721,95%CI:0.647-0.796).The results of internal validation showed that the AUC of the model was 0.774(95%CI:0.679-0.869),and the goodness of fit test showed a good fitting of this model(χ2=4.629,P>0.05).Conclusion The risk prediction model for in-hospital mortality of patients on VA-ECMO has good differentiation,calibration and clinical effectiveness and outperforms the commonly used disease severity scoring system,and thus can be used for assessing disease severity and prognostic risk level in critically ill patients.
8.Effect of low frequency repetitive transcranial magnetic stimulation combined with bilateral isokinematic training on upper limb motor function of stroke patients
Fengbao SUN ; Yaqin ZENG ; Yao OUYANG ; Zhenhua JIN ; Xiaofeng ZHANG
Chinese Journal of Rehabilitation Theory and Practice 2023;29(3):256-261
ObjectiveTo explore low-frequency repetitive transcranial magnetic stimulation (rTMS) combined with bilateral isokinematic training (BIT) on upper limb motor function and activities of daily living of stroke patients. MethodsFrom September, 2021 to September, 2022, 60 stroke inpatients in Zhejiang Provincial People's Hospital were randomly divided into rTMS group (n = 20), BIT group (n = 20) and combination group (n = 20). All the patients accepted routine rehabilitation, moreover, rTMS group accepted 1 Hz rTMS on healthy side, BIT group accepted BIT, and the combination group accepted the combination of 1 Hz rTMS on healthy side and BIT, for four weeks. They were evaluated with Fugl-Meyer Assessment-Upper Extremities (FMA-UE), Wolf Motor Function Test (WMFT), Carroll Upper Extremities Function Test (UEFT) and modified Barthel Index (MBI) before and after treatment. ResultsThe scores of FMA-UE, WMFT, UEFT and MBI significantly improved in all the groups after treatment (|t| > 5.052, P < 0.001), and improved the most in the combination group (F > 9.834, P < 0.001). ConclusionBoth low-frequency rTMS and BIT can effectively improve upper limb motor function and activities of daily living of stroke patients, and the combination of them is more effective.
9.Comprehensive interpretation of RCC abstracts, ASCO-GU 23
Zhenhua LIU ; Xinan SHENG ; Hao ZENG
Chinese Journal of Urology 2023;44(4):245-247
The ASCO-GU 23 conference was held offline as scheduled after the pandemic. A total of 167 abstracts in the field of renal cell carcinoma has been posted during the conference, covering the first PET/CT diagnostic technology targeting tumors in renal cell carcinoma, risk stratified interpretation of the previous clinical trial results, and exploring the value of tumor and serum biomarkers for precise classification therapy, as well as providing evidence for the therapeutic scheme sequencing.
10.Advance in renal cell carcinoma in 2022 ASCO-GU
Chinese Journal of Urology 2022;43(4):249-252
ASCO-GU is one of the landmark meetings of urogenital cancer. Within 2022 meeting, the extended follow up result of adjuvant pembrolizumab after nephrectomy in renal cell carcinoma as well as the efficacy and safety of neoadjuvant Axitinib and avelumab for local advanced renal cell carcinoma have been released. There were also explorations in local therapy for oligometastasis, novel combination system therapy and regiments alterations. The further research protocol of immunostimulatory IL-2 cytokine prodrug and PARP inhibitor for metastatic RCC were also disclosed.

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