1.The correlation analysis of serum levels of Klotho protein,FGF-23 and chronic kidney disease
Jun WANG ; Xiaoyan JIANG ; Xiuxia DING
International Journal of Laboratory Medicine 2017;38(15):2079-2081
Objective To explore the role of serum levels of Klotho protein and fibroblast growth factor(FGF)-23 in patients with chronic kidney disease(CKD).Methods A total of 160 patients with CKD were recruited into CKD group in this study,160 healthy controls were selected in the control group from March 2014 to March 2016.Basic clinical data,blood biochemical index,serum level of Klotho protein and FGF-23 were analyzed and compared between the two groups.Results The hemoglobin,serum albumin,blood calcium,glomerular filtration rate,Klotho protein levels in the CKD group were lower than those in the control group,and the serum creatinine,blood urea,blood serum phosphorus and FGF-23 were higher than those in the control group(P<0.05).With the progress of CKD stages,hemoglobin,glomerular filtration rate,Klotho protein levels gradually decreased,serum creatinine,blood urea,blood serum phosphorus,FGF-23 level increased(P<0.05).The levels of FGF-23 were negatively related to hemoglobin,glomerular filtration rate,Klotho(r=-0.584,0.692,-0.724)and were positively correlated to serum creatinine,blood urea,blood serum phosphorus(r=0.814,0.703,0.527).The levels of Klotho protein were positively related to hemoglobin,glomerular filtration rate(r=0.612,0.685),and were negatively correlated to serum creatinine,blood serum phosphorus,blood urea,FGF-23(r=-0.720,-0.690,-0.519,0.724).Conclusion High concentrations of FGF-23 and Klotho protein with low concentration were not only related to calcium phosphate metabolic disorders of patients with CKD,and were also associated with the prognosis of patients with CKD,which might be early biomarkers and predictor in patients with CKD.
2.Clinical significance of the measurement of toxin level of community-acquired respiratory distress syndrome in children with Mycoplasma pneumoniae pneumonia
Xiang MA ; Jing SUN ; Yuling HAN ; Furong JIANG ; Xiuxia ZHAO ; Jianzhi LI ; Mingjie DING
Chinese Journal of Applied Clinical Pediatrics 2018;33(22):1703-1706
Objective To assess the level and trend of community acquired respiratory distress syndrome (CARDS) toxin after the infection of Mycoplasma pneumonia(MP),and evaluate the clinical characteristics,the level of immunoglobulin E (IgE) and interleukin-4 (IL-4) so as to find the association among these factors.Methods According to whether the child had wheezing symptoms,all the 63 children were divided into wheezing group (26 ca-ses) and non-wheezing group (3 cases).The levels of CARDS toxin were respectively detected in the acute stage of MP infection,3 and 6 months later after MP infection in different groups,moreover,IgE and IL-4 levels were monitored at the same time.Results (1) The mean level of IgE were (384.96 ± 316.62) × 103 IU/L and (87.32 ± 66.32) × 103 IU/L in wheezing group and non-wheezing group,respectively,and there was statistically significant difference (P < 0.05).(2) The load of CARDS toxin in wheezing group and non-wheezing group were (1.87 ± 0.62) Delta Rn and (1.15 ± 0.48) Delta Rn in the stage of acute infection,respectively,and there was statistically significant difference (P < 0.05).Nevertheless,differences between 2 groups after 3 months and 6 months were not significant.(3) In the acute stage,the level of CARDS toxin in the severe cases were higher than the mild cases [(2.37 ± 0.37) Delta Rn vs (1.21 ± 0.45) Delta Rn],and there was statistically significant difference (P < 0.05).(4) IL-4 showed significant difference in the acute stage and 3 months later after acute infection between 2 groups,however,there were no difference between 2 groups after 6 months later.(5)The load of CARDS toxin showed no significant difference between 2 groups at 3 months [(0.96 ± 0.35) vs.(0.99 ± 0.40) Delta Rn,P =0.757] and 6 months [(0.67 ± 0.20) vs.(0.69 ±0.32) Delta Rn,P =0.641] later after MP infection.(6)The children in wheezing group coughed for (24.89 ±7.04) days after acute infection and the last time for non-wheezing group was (16.46 ± 4.79) days,and there was statistically significant difference(P =0.000).Conclusions The load of CARDS toxin decreased after acute MP infection and it was still detectable six months after onset in the blood.The level of CARDS toxin was associated with the cough and wheezing symptom and the severity of disease.
3.Construction and validation of a predictive model for early occurrence of lower extremity deep venous thrombosis in ICU patients with sepsis
Zhiling QI ; Detao DING ; Cuihuan WU ; Xiuxia HAN ; Zongqiang LI ; Yan ZHANG ; Qinghe HU ; Cuiping HAO ; Fuguo YANG
Chinese Critical Care Medicine 2024;36(5):471-477
Objective:To investigate the risk factors of lower extremity deep venous thrombosis (LEDVT) in patients with sepsis during hospitalization in intensive care unit (ICU), and to construct a nomogram prediction model of LEDVT in sepsis patients in the ICU based on the critical care scores combined with inflammatory markers, and to validate its effectiveness in early prediction.Methods:726 sepsis patients admitted to the ICU of the Affiliated Hospital of Jining Medical University from January 2015 to December 2021 were retrospectively included as the training set to construct the prediction model. In addition, 213 sepsis patients admitted to the ICU of the Affiliated Hospital of Jining Medical University from January 2022 to June 2023 were retrospectively included as the validation set to verify the performance of the prediction model. Clinical data of patients were collected, such as demographic information, vital signs at the time of admission to the ICU, underlying diseases, past history, various types of scores within 24 hours of admission to the ICU, the first laboratory indexes of admission to the ICU, lower extremity venous ultrasound results, treatment, and prognostic indexes. Lasso regression analysis was used to screen the influencing factors for the occurrence of LEDVT in sepsis patients, and the results of Logistic regression analysis were synthesized to construct a nomogram model. The nomogram model was evaluated by receiver operator characteristic curve (ROC curve), calibration curve, clinical impact curve (CIC) and decision curve analysis (DCA).Results:The incidence of LEDVT after ICU admission was 21.5% (156/726) in the training set of sepsis patients and 21.6% (46/213) in the validation set of sepsis patients. The baseline data of patients in both training and validation sets were comparable. Lasso regression analysis showed that seven independent variables were screened from 67 parameters to be associated with the occurrence of LEDVT in patients with sepsis. Logistic regression analysis showed that the age [odds ratio ( OR) = 1.03, 95% confidence interval (95% CI) was 1.01 to 1.04, P < 0.001], body mass index (BMI: OR = 1.05, 95% CI was 1.01 to 1.09, P = 0.009), venous thromboembolism (VTE) score ( OR = 1.20, 95% CI was 1.11 to 1.29, P < 0.001), activated partial thromboplastin time (APTT: OR = 0.98, 95% CI was 0.97 to 0.99, P = 0.009), D-dimer ( OR = 1.03, 95% CI was 1.01 to 1.04, P < 0.001), skin or soft-tissue infection ( OR = 2.53, 95% CI was 1.29 to 4.98, P = 0.007), and femoral venous cannulation ( OR = 3.72, 95% CI was 2.50 to 5.54, P < 0.001) were the independent influences on the occurrence of LEDVT in patients with sepsis. The nomogram model was constructed by combining the above variables, and the ROC curve analysis showed that the area under the curve (AUC) of the nomogram model for predicting the occurrence of LEDVT in patients with sepsis was 0.793 (95% CI was 0.746 to 0.841), and the AUC in the validation set was 0.844 (95% CI was 0.786 to 0.901). The calibration curve showed that its predicted probability was in good agreement with the actual probabilities were in good agreement, and both CIC and DCA curves suggested a favorable net clinical benefit. Conclusion:The nomogram model based on the critical illness scores combined with inflammatory markers can be used for early prediction of LEDVT in ICU sepsis patients, which helps clinicians to identify the risk factors for LEDVT in sepsis patients earlier, so as to achieve early treatment.