Zhenhui Zhang

Dr. Zhenhui Zhang

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 March 2021 in Frontiers in Medicine
Verified
Journal Article
Open access
PDF file
QYQilin Yang
Qilin Yang
JZJiezhao Zheng
Jiezhao Zheng
WCWeiyan Chen
Weiyan Chen
XCXiaohua Chen
Xiaohua Chen
DWDeliang Wen
Deliang Wen
ZZZhenhui Zhang
Zhenhui Zhang
Background: Sepsis is a deadly disease worldwide. Effective treatment strategy of sepsis remains limited. There still was a controversial about association between preadmission metformin use and mortality in sepsis patients with diabetes. We aimed to assess sepsis-related mortality in patients with type 2 diabetes (T2DM) who were preadmission metformin and non-metformin users.Methods: The patients with sepsis and T2DM were included from Medical Information Mart for Intensive Care -III database. Outcome was 30-day mortality. We used multivariable Cox regression analyses to calculate adjusted hazard ratio (HR) with 95% CI.Results: We included 2,383 sepsis patients with T2DM (476 and 1,907 patients were preadmission metformin and non-metformin uses) between 2001 and 2012. The overall 30-day mortality was 20.1% (480/2,383); it was 21.9% (418/1,907), and 13.0% (62/476) for non-metformin and metformin users, respectively. After adjusted for potential confounders, we found that preadmission metformin use was associated with 39% lower of 30-day mortality (HR = 0.61, 95% CI: 0.46–0.81, p = 0.007). In sensitivity analyses, subgroups analyses, and propensity score matching, the results remain stable.Conclusions: Preadmission metformin use may be associated with reduced risk-adjusted mortality in patients with sepsis and T2DM. It is worthy to further investigate this association.

25 November 2021 in Frontiers in Nutrition
Verified
Journal Article
Open access
WHWeichao Huang
Weichao Huang
XMXiaoman Ma
Xiaoman Ma
HLHualiang Liang
Hualiang Liang
HLHaojia Li
Haojia Li
JCJiayu Chen
Jiayu Chen
ZZZhenhui Zhang
Zhenhui Zhang
Introduction: Circulating vitamin D concentrations have been associated with the risk of type 2 diabetes (T2D). Magnesium has also been reported to be associated with lower T2D risk. Besides, magnesium is an essential cofactor for vitamin D activation. However, the effect of dietary magnesium intake on the association between vitamin D and the risk of T2D has not been studied comprehensively. Therefore, we designed this cross-sectional study to assess the effect modification of magnesium intake on the association between vitamin D and risk of T2D.Research Design and Methods: The present study analyzed data from the National Health and Nutrition Examination Survey (NHANES) continuously from 2007 to 2014, involving 10,249 participants. By having stratified participants based on magnesium intake category (low magnesium intake <267 mg/day; high magnesium intake: ≥267 mg/day), we further evaluated the difference (interaction test) between the relationship of vitamin D with the risk of T2D among low magnesium intake participants and high magnesium intake participants using weighted multivariable logistic regression.Results: In this cross-sectional study, the association of serum vitamin D with the incidence of T2D appeared to differ between the low magnesium intake group and the high magnesium intake group (OR: 0.968, 95%Cl: 0.919–1.02 vs. OR: 0.925, 95%Cl: 0.883–0.97). Furthermore, there was evidence of interaction between vitamin D levels and magnesium intake on decreasing the incidence of T2D (p-value for interaction = 0.001).Conclusions: The results of our study indicated that magnesium intake might affect the association of serum vitamin D with the risk of T2D. Such a finding requires further randomized controlled trials to provide more evidence.

31 March 2017 in Molecular and Cellular Biochemistry
Verified
Journal Article
Closed access
PDF file
NLNingning Liu
Ningning Liu
TKTianyu Kong
Tianyu Kong
XCXiaohua Chen
Xiaohua Chen
HHHuan Hu
Huan Hu
HGHongjiao Gu
Hongjiao Gu
ZZZhenhui Zhang
Zhenhui Zhang

9 August 2022 in Frontiers in Public Health
Verified
Journal Article
Open access
QYQilin Yang
Qilin Yang
WCWeixiao Chen
Weixiao Chen
YWYichao Wen
Yichao Wen
JZJiezhao Zheng
Jiezhao Zheng
JCJieru Chen
Jieru Chen
ZZZhenhui Zhang
Zhenhui Zhang
Background: Hemodynamic management is of paramount importance in patients with acute kidney injury (AKI). Central venous pressure (CVP) has been used to assess volume status. We intended to identify the optimal time window in which to obtain CVP to avoid the incidence of adverse outcomes in patients with AKI.Methods: The study was based on the Medical Information Mart for Intensive Care (MIMIC) IV database. The primary outcome was in-hospital mortality. Secondary outcomes included the number of ICU-free days and norepinephrine-free days at 28 days after ICU admission, and total fluid input and fluid balance during the first and second day. A time–dose–response relationship between wait time of CVP measurement and in-hospital mortality was implemented to find an inflection point for grouping, followed by propensity-score matching (PSM), which was used to compare the outcomes between the two groups.Results: Twenty Nine Thousand and Three Hundred Thirty Six patients with AKI were enrolled, and the risk of in-hospital mortality increased when the CVP acquisition time was >9 h in the Cox proportional hazards regression model. Compared with 8,071 patients (27.5%) who underwent CVP measurement within 9 h and were assigned to the early group, 21,265 patients (72.5%) who delayed or did not monitor CVP had a significantly higher in-hospital mortality in univariate and multivariate Cox regression analyses. After adjusting for potential confounders by PSM and adjusting for propensity score, pairwise algorithmic, overlap weight, and doubly robust analysis, the results were still stable. The HRs were 0.58–0.72, all p < 0.001. E-value analysis suggested robustness to unmeasured confounding.Conclusions: Among adults with AKI in ICU, increased CVP wait time was associated with a greater risk of in-hospital mortality. In addition, early CVP monitoring perhaps contributed to shortening the length of ICU stays and days of norepinephrine use, as well as better fluid management.

16 July 2024 in Heliyon
Verified
Journal Article
Open access
EGErya Gou
Erya Gou
QYQilin Yang
Qilin Yang
JCJieru Chen
Jieru Chen
TKTianyu Kong
Tianyu Kong
ZTZhiwei Tang
Zhiwei Tang
ZZZhenhui Zhang
Zhenhui Zhang
The Albumin-Bilirubin (ALBI) score, recommended for assessing the prognosis of hepatocellular carcinoma patients, has garnered attention. The efficacy of ALBI score in forecasting the risk of death in sepsis patients remains limited. We designed two cohort studies to assess the association between ALBI score and in-hospital mortality in patients with sepsis. A retrospective analysis was conducted utilizing data from the Second Affiliated Hospital of Guangzhou Medical University and the Medical Information Mart for Intensive Care IV(MIMIC-IV). Patients diagnosed with sepsis were included in the analysis. The primary outcome was the in-hospital mortality. Multivariate Cox regression analysis was conducted to assess the independent association between the ALBI score and mortality, with adjustment for potential confounders. Subgroup analysis was conducted to assess the robustness of the findings. The Guangzhou Sepsis Cohort (GZSC) of the Second Affiliated Hospital of Guangzhou Medical University comprised 2969 participants, while the MIMIC-IV database included 8841 participants. The ALBI score were categorized into < -2.60, −2.60∼-1.39, and >-1.39. After adjusting for confounders, a linear relationship was observed between ALBI score and mortality. Patients with a high ALBI grade were associated with higher in-hospital mortality in both the GZSC (HR: 1.52, 95%CI: 1.24–1.87, p < 0.001) and the MIMIC-IV database (HR: 1.57, 95%CI: 1.46–1.70, p < 0.001). A high ALBI score is associated with higher in-hospital mortality among sepsis patients in ICU.

26 October 2023 in Frontiers in Medicine
Verified
Journal Article
Open access
QYQilin Yang
Qilin Yang
TKTianyu Kong
Tianyu Kong
ZBZiping Bao
Ziping Bao
SYShanshan Yang
Shanshan Yang
XCXiaohua Chen
Xiaohua Chen
ZZZhenhui Zhang
Zhenhui Zhang
Objective: This study aimed to assess whether β-blockers are associated with mortality in patients with sepsis.Method: We conducted a retrospective cohort study of patients with sepsis using the Medical Information Market for Intensive Care (MIMIC)-IV and the emergency intensive care unit (eICU) databases. The primary outcome was the in-hospital mortality rate. The propensity score matching (PSM) method was adopted to reduce confounder bias. Subgroup and sensitivity analyses were performed to test the stability of the conclusions.Results: We included a total of 61,751 patients with sepsis, with an overall in-hospital mortality rate of 15.3% in MIMIC-IV and 13.6% in eICU. The inverse probability-weighting model showed that in-hospital mortality was significantly lower in the β-blockers group than in the non-β-blockers group [HR = 0.71, 95% CI: 0.66–0.75, p < 0.001 in MIMIC-IV, and HR = 0.48, 95% CI: 0.45–0.52, p < 0.001 in eICU]. In subgroups grouped according to sex, age, heart rate, APSIII, septic shock, and admission years, the results did not change.Conclusion: β-blocker use is associated with lower in-hospital mortality in patients with sepsis, further randomized trials are required to confirm this association.