1.The interaction between skeletal aging and systemic aging
Zhenxing WANG ; Xiangfeng YANG ; Yanwei TONG ; Yubo WANG ; Zhuojun DUAN ; Guoqing YIN ; Hui XIE
Chinese Journal of Geriatrics 2025;44(10):1340-1348
The interaction between skeletal aging and systemic aging has emerged as a frontier in the field of aging biology research.Recent studies have indicated that bones serve not only as mechanical support organs but also as endocrine organs that regulate systemic homeostasis through bone-derived factors.This review systematically elaborates the characteristics and mechanisms of skeletal aging, including tissue structural remodeling, cellular phenotypic changes, microenvironmental disruption, and molecular network disorders, etc.In aging organisms, bones interact with other organs to form a "bone-system aging axis", thereby promoting the occurrence and development of geriatric comorbidities.Accordingly, multi-target intervention strategies targeting the "bone-system aging axis" show the potential in decelerating the progression of systemic aging.In-depth research on the characteristic changes in inter-organ communication during the aging process of the body is not only conducive to facilitating the development of more comprehensive systemic anti-aging strategies, but also provides a new perspective for treating geriatric comorbidities and achieving healthy aging.
2.Analysis of factors influencing mortality in critically ill neonates undergoing continuous renal replacement therapy
Rong ZHANG ; Yan ZHUANG ; Xiaoming PENG ; Fan ZHANG ; Junshuai LI ; Zhuojun XIAO ; Jingjing XIE ; Qiong GUO
Chinese Journal of Perinatal Medicine 2025;28(4):280-287
Objective:To investigate the risk factors influencing mortality in neonates undergoing continuous renal replacement therapy (CRRT).Methods:This retrospective study included 34 neonates with a corrected age of≤28 days who received CRRT at the Affiliated Children's Hospital of Xiangya School of Medicine, Central South University, from January 2019 to December 2023. The neonates were divided into a mortality group ( n=16) and a survival group ( n=18) based on whether they died during CRRT. Pre-CRRT blood biochemical indices, general condition, CRRT treatment modes, parameters, and related complications were analyzed using t-tests, Wilcoxon signed-rank tests, and Chi-square tests. Logistic stepwise regression analysis was used to screen for risk factors associated with CRRT mortality. Results:The mortality rate among the 34 neonates was 48.6% (16/34), with a median CRRT age of 17 days (range: 2-33 days). Eleven neonates (32.3%) were preterm, with the youngest gestational age being 27 weeks and the lowest weight before CRRT initiation being 1 700 g. The mortality group had lower urine output 6-12 hours before CRRT initiation and lower critical illness scores compared to the survival group [0.05 (0.02-1.00) ml/(kg·h) vs. 0.50 (0.20-1.05) ml/(kg·h), (64.50±7.10) scores vs. (77.67±3.65) scores, Z or t values were 10.97 and 3.91, respectively]. However, the vasoactive inotropic score (VIS), proportion of coma, and levels of blood potassium, alanine aminotransferase, aspartate aminotransferase, blood ammonia, blood lactic acid, and activated partial thromboplastin time (APTT) were higher in the mortality group compared to the survival group [ (86.88±15.80) scores vs. (55.56±24.31) scores, 11/16 vs. 1/18, (7.02±1.73) mmol/L vs. (5.88±1.53) mmol/L, 274.55(132.50-664.98) U/L vs. 31.10(19.03-110.70) U/L, 688.20 (449.73-3 618.13) U/L vs. 96.65 (44.15-439.00) U/L, 232.75 (70.33-1 310.85) μmol/L vs.77.70 (49.78-919.05) μmol/L, (11.17±3.36) U/L vs. (7.99±2.67) U/L, and (99.57±39.74) s vs. (60.97±31.25) s, with t, χ2, or Z values of-4.39, 14.81,-2.03,-2.72,-11.81,-3.89,-3.06, and-3.17, respectively] (all P<0.05). Logistic regression analysis revealed that pre-treatment VIS value ( OR=1.150, 95% CI: 1.035-1.278), and blood ammonia level ( OR=1.004, 95% CI: 1.002-1.009) were independent risk factors for mortality (both P<0.05). Conclusions:Neonatal CRRT mortality is associated with pre-treatment VIS scores and blood ammonia levels. Attention should be paid to a rapid decreases in urine output, the intensity of vasopressor support, and elevated levels of blood ammonia, blood lactic acid, transaminases, and APTT at the initiation of treatment.
3.The interaction between skeletal aging and systemic aging
Zhenxing WANG ; Xiangfeng YANG ; Yanwei TONG ; Yubo WANG ; Zhuojun DUAN ; Guoqing YIN ; Hui XIE
Chinese Journal of Geriatrics 2025;44(10):1340-1348
The interaction between skeletal aging and systemic aging has emerged as a frontier in the field of aging biology research.Recent studies have indicated that bones serve not only as mechanical support organs but also as endocrine organs that regulate systemic homeostasis through bone-derived factors.This review systematically elaborates the characteristics and mechanisms of skeletal aging, including tissue structural remodeling, cellular phenotypic changes, microenvironmental disruption, and molecular network disorders, etc.In aging organisms, bones interact with other organs to form a "bone-system aging axis", thereby promoting the occurrence and development of geriatric comorbidities.Accordingly, multi-target intervention strategies targeting the "bone-system aging axis" show the potential in decelerating the progression of systemic aging.In-depth research on the characteristic changes in inter-organ communication during the aging process of the body is not only conducive to facilitating the development of more comprehensive systemic anti-aging strategies, but also provides a new perspective for treating geriatric comorbidities and achieving healthy aging.
4.Analysis of factors influencing mortality in critically ill neonates undergoing continuous renal replacement therapy
Rong ZHANG ; Yan ZHUANG ; Xiaoming PENG ; Fan ZHANG ; Junshuai LI ; Zhuojun XIAO ; Jingjing XIE ; Qiong GUO
Chinese Journal of Perinatal Medicine 2025;28(4):280-287
Objective:To investigate the risk factors influencing mortality in neonates undergoing continuous renal replacement therapy (CRRT).Methods:This retrospective study included 34 neonates with a corrected age of≤28 days who received CRRT at the Affiliated Children's Hospital of Xiangya School of Medicine, Central South University, from January 2019 to December 2023. The neonates were divided into a mortality group ( n=16) and a survival group ( n=18) based on whether they died during CRRT. Pre-CRRT blood biochemical indices, general condition, CRRT treatment modes, parameters, and related complications were analyzed using t-tests, Wilcoxon signed-rank tests, and Chi-square tests. Logistic stepwise regression analysis was used to screen for risk factors associated with CRRT mortality. Results:The mortality rate among the 34 neonates was 48.6% (16/34), with a median CRRT age of 17 days (range: 2-33 days). Eleven neonates (32.3%) were preterm, with the youngest gestational age being 27 weeks and the lowest weight before CRRT initiation being 1 700 g. The mortality group had lower urine output 6-12 hours before CRRT initiation and lower critical illness scores compared to the survival group [0.05 (0.02-1.00) ml/(kg·h) vs. 0.50 (0.20-1.05) ml/(kg·h), (64.50±7.10) scores vs. (77.67±3.65) scores, Z or t values were 10.97 and 3.91, respectively]. However, the vasoactive inotropic score (VIS), proportion of coma, and levels of blood potassium, alanine aminotransferase, aspartate aminotransferase, blood ammonia, blood lactic acid, and activated partial thromboplastin time (APTT) were higher in the mortality group compared to the survival group [ (86.88±15.80) scores vs. (55.56±24.31) scores, 11/16 vs. 1/18, (7.02±1.73) mmol/L vs. (5.88±1.53) mmol/L, 274.55(132.50-664.98) U/L vs. 31.10(19.03-110.70) U/L, 688.20 (449.73-3 618.13) U/L vs. 96.65 (44.15-439.00) U/L, 232.75 (70.33-1 310.85) μmol/L vs.77.70 (49.78-919.05) μmol/L, (11.17±3.36) U/L vs. (7.99±2.67) U/L, and (99.57±39.74) s vs. (60.97±31.25) s, with t, χ2, or Z values of-4.39, 14.81,-2.03,-2.72,-11.81,-3.89,-3.06, and-3.17, respectively] (all P<0.05). Logistic regression analysis revealed that pre-treatment VIS value ( OR=1.150, 95% CI: 1.035-1.278), and blood ammonia level ( OR=1.004, 95% CI: 1.002-1.009) were independent risk factors for mortality (both P<0.05). Conclusions:Neonatal CRRT mortality is associated with pre-treatment VIS scores and blood ammonia levels. Attention should be paid to a rapid decreases in urine output, the intensity of vasopressor support, and elevated levels of blood ammonia, blood lactic acid, transaminases, and APTT at the initiation of treatment.
5.Bibliometric Study on Health Utility Value Obtained by Mapping Method in Pharmacoeconomic Evaluation
Mengnan LI ; Hongyan WU ; Qin GOU ; Yifan CAI ; Yi XIAO ; Tangqin ZHANG ; Shenchao SONG ; Yan HUANG ; Zhuojun XIE ; Xiao LIN
China Pharmacy 2020;31(11):1358-1364
OBJECTIVE:To know about the research status of health utility value obtained by mapping method in pharmacoeconomic evaluation ,and to provide reference for bibliometric study in pharmacoeconomic evaluation . METHODS : Using“Mapping method ”“Health utility value ”“Cost-utility”“Utility point system ”as Chinese and English keywords ,retrieved from CNKI ,Wanfang database ,PubMed,Medline,Ebsco,Ovid and Wiley database ,empirical journal documents published from the inception to Dec. 31st,2018 about using mapping method to obtain health utility value were collected. The bibliometrics was used to statistically analyze basic information of included literature ,the construction and test of the model ,the type of the best model and so on. RESULTS :The 124 included documents were all published in English journal. In the construction and testing of the mapping model ,the most frequently used econometric methods ,performance evaluation indicators and model testing methods were ordinary least squares (OLS),mean absolute error (MAE)and residual normality test ,application frequency of which were 97 times(31.60%),89 times(24.93%)and 62 times(21.09%). There are 117 articles that define the best mapping model ,of which 101 articles(86.32%)have the best direct mapping effect. Most of the non-utility measurement scales adopted specific scales (92 articles,77.97%),and a few literatures adopted the universal scale (26 articles,22.03%). The most utility measurement scales were 3-level European 5-dimensional health scale (79 articles,66.95%). CONCLUSIONS :The domestic empirical researches that use the mapping method to obtain health utility values need to be developed yet. A series of mapping models successfully developed by foreign scholars not only provide the feasibility of using non-utility measurement scales for cost-utility analysis ,but also provide more ideas for China to choose the corresponding econometric methods ,evaluation indicators and mapping methods in the empirical research of the mapping method in the future.

Result Analysis
Print
Save
E-mail