1.Impact of mean perfusion pressure on the risk of sepsis-associated acute kidney injury.
Linshan YANG ; Wei ZHOU ; Shuyue SHENG ; Guoliang FAN ; Shaolin MA ; Feng ZHU
Chinese Critical Care Medicine 2025;37(4):367-373
OBJECTIVE:
To investigate the relationship between mean perfusion pressure (MPP) and the risk of sepsis-associated acute kidney injury (SA-AKI) and its prognosis, and to determine the optimal cut-off value of MPP for predicting SA-AKI.
METHODS:
A retrospective cohort study was conducted. The clinical data of adult patients with sepsis were collected from the Medical Information Mart for Intensive Care-IV 2.2 (MIMIC-IV 2.2) database. The patients were divided into two groups based on the occurrence of SA-AKI. Baseline characteristics, vital signs, comorbidities, laboratory indicators within 24 hours of intensive care unit (ICU) admission, and clinical outcome indicators were collected. Mean MPP was calculated using the average values of mean arterial pressure (MAP) and central venous pressure (CVP), MPP = MAP-CVP. Cox regression models were constructed, relevant confounding factors were adjusted, and multivariate Logistic regression analysis was used to investigate the associations between MPP and the risk of SA-AKI as well as ICU death. The predictive value of MPP for SA-AKI was evaluated using receiver operator characteristic curve (ROC curve) analysis, and the optimal cut-off value was determined.
RESULTS:
A total of 6 009 patients were ultimately enrolled in the analysis. Among them, SA-AKI occurred in 4 755 patients (79.13%), while 1 254 patients (20.87%) did not develop SA-AKI. Compared with the non-SA-AKI group, the MPP in the SA-AKI group was significantly lowered [mmHg (1 mmHg≈0.133 kPa): 62.00 (57.00, 68.00) vs. 65.00 (60.00, 70.00), P < 0.01], and the ICU mortality was significantly increased [11.82% (562/4 755) vs. 1.59% (20/1 254), P < 0.01]. Three Cox regression models were constructed: model 1 was unadjusted; model 2 was adjusted for gender, age, height, weight and race; model 3 was adjusted for gender, age, height, weight, race, heart rate, respiratory rate, body temperature, hemoglobin, platelet count, white blood cell count, anion gap, HCO3-, blood urea nitrogen, serum creatinine, Cl-, Na+, K+, fibrinogen, international normalized ratio, blood lactic acid, pH value, arterial partial pressure of oxygen, arterial partial pressure of carbon dioxide, sequential organ failure assessment score, Charlson comorbidity index score, use of vasopressors, mechanical ventilation, and urine output. Multivariate Logistic regression analysis showed that when MPP was treated as a continuous variable, there was a negative correlation between MPP and the risk of SA-AKI in model 1 and model 2 [model 1: odds ratio (OR) = 0.967, 95% confidence interval (95%CI) was 0.961-0.974, P < 0.001; model 2: OR = 0.981, 95%CI was 0.974-0.988, P < 0.001], and also a negative correlation between MPP and the risk of ICU death (model 1: OR = 0.955, 95%CI was 0.945-0.965, P < 0.001; model 2: OR = 0.956, 95%CI was 0.946-0.966, P < 0.001). However, in model 3, there was no significant correlation between MPP and either SA-AKI risk or ICU death risk. when MPP was used as a multi-categorical variable, in model 1 and model 2, referring to MPP ≤ 58 mmHg, when 59 mmHg ≤ MPP ≤ 68 mmHg, as MPP increased, the risk of SA-AKI progressively decreased (OR value was 0.411-0.638, all P < 0.001), and the risk of ICU death also gradually decreased (OR value was 0.334-0.477, all P < 0.001). ROC curve showed that MPP had a certain predictive value for SA-AKI occurrence [area under the ROC curve (AUC) = 0.598, 95%CI was 0.404-0.746], and the optimal cut-off value was 60.5 mmHg.
CONCLUSION
MPP was significantly associated with the risk of SA-AKI, with an optimal cut-off value of 60.5 mmHg, and also demonstrated a significant correlation with the risk of ICU death.
Humans
;
Acute Kidney Injury/physiopathology*
;
Retrospective Studies
;
Sepsis/physiopathology*
;
Middle Aged
;
Prognosis
;
Male
;
Female
;
Aged
;
Risk Factors
;
Intensive Care Units
;
Adult
;
Logistic Models
;
Proportional Hazards Models
2.Syndrome Differentiation from Micro to"Near-micro":Origins,Controversies and Prospects
Liqin ZHONG ; Dan SHENG ; Wanghua LIU ; Zhixi HU ; Qinghua PENG ; Weixiong JIAN ; Yingjie WU ; Yanjie WANG ; Shuyue FU ; Hao LIANG
Chinese Journal of Information on Traditional Chinese Medicine 2024;31(3):8-12
As an emerging discipline that combines traditional diagnostic methods with modern scientific technology,micro syndrome differentiation has good prospects for development,but there are some controversies in the research process.Based on ancient and modern literature,this article reviewed the origin and flow of research on micro syndrome differentiation,and summarized the problems to be improved in the process of research on micro syndrome differentiation from three aspects:application of disease type,guiding ideology and micro indicators.Based on this,the article further expounded the new thinking on"near-micro"syndrome differentiation from three aspects:connotation,scope of application,and links to traditional identification and micro-identification,and pointed out that the modern medical detection basis should be incorporated into the field of TCM syndrome differentiation,and at the same time,it should be based on the overall thinking mode of TCM,which would provide a new idea for the development of modern TCM diagnosis technology.
3.A multicenter clinical study of risk factors for abdominal pain and distension in sedation-free colonoscopy
Guiping ZHAO ; Shuyue YANG ; Linlin SHAO ; Zheng ZHANG ; Sheng WANG ; Zhen DING ; Li ZHANG ; Runfang LI ; Wenyan LIANG ; Peng LI ; Shutian ZHANG
Chinese Journal of Digestive Endoscopy 2022;39(7):528-533
Objective:To analyze the risk factors for the most common adverse events, i.e. abdominal pain and distension in sedation-free colonoscopy.Methods:This was a multicenter clinical study, in which clinical data of patients including outpatients and inpatients who underwent selective sedation-free colonoscopy at six gastrointestinal endoscopy centers from July 2017 to December 2019 were collected, including patients' general information, complicating diseases, examination time, examination results, and occurrence of adverse events of abdominal pain and distension. Univariate and multivariate logistic regression was performed to analyze the risk factors for adverse events of abdominal pain and distension during sedation-free colonoscopy.Results:A total of 2 394 patients underwent sedation-free colonoscopy, among whom 690 (28.8%) suffered from abdominal pain, and 1 151 (48.1%) experienced abdominal distension. The results of multivariate logistic analysis showed that overweight ( OR=1.33, 95% CI:1.09-1.62, P=0.005), obesity ( OR=1.55, 95% CI:1.14-2.11, P=0.005) and combination of hypertension ( OR=1.58, 95% CI:1.23-2.02, P<0.001) were independent risk factors for abdominal pain during sedation-free colonoscopy, and overweight ( OR=1.40, 95% CI:1.17-1.68, P<0.001) and combination of hypertension ( OR=1.39,95% CI:1.10-1.76, P=0.006) were independent risk factors for abdominal distension during sedation-free colonoscopy. Conclusion:Obesity, overweight and combination of hypertension are independent risk factors for abdominal pain, and overweight and combination of hypertension are independent risk factors for abdominal distension during sedation-free colonoscopy.
4.Aptamers as molecular probes in tumor molecular imaging
Yusheng SHI ; Yonghua PENG ; Shuyue SHENG ; Xingmei ZHANG
Journal of International Oncology 2016;43(11):838-840
The ideal molecular imaging probe should have characteristics of specificity,sensitivity and safety.Aptamers are sing-strand DNA or RNA oligonucleotides which can bind their targets with high specificity and high affinity.Aptamers are new types of molecular imaging probe because they have many advantages,such as their large sum of possible targets,small molecule weights,easily production and modification,low immuno-genicity,high tissue penetration and so on.Now more and more aptamers research on tumor molecular imaging provides a new technology and tool for tumor diagnosis and therapy.

Result Analysis
Print
Save
E-mail