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Objective:To explore the application of list nursing management combined with different artificial liver treatment modes in patients with liver failure.Methods:Fifty-three patients with liver failure hospitalized in Bethune Hospital of Shanxi Province from July 2020 to July 2021 were selected as the control group, 63 patients with liver failure hospitalized in Bethune Hospital of Shanxi Province from July 2021 to July 2022 were selected as the intervention group. According to the different treatment modes of artificial liver for patients, plasma exchange (PE), double plasma molecular adsorption system (DPMAS) and PE + DPMAS treatment were set up in the two groups. The control group received routine nursing care, while the intervention group received checklist nursing care in addition. The changes of albumin (ALB) and prothrombin time (PT) indexes before and after the different treatment modes were compared, together with the occurrence of complications between the two groups after the intervention.Results:The baseline data between the two groups was balanced, the difference had no statistical significant ( P>0.05). After the therapy, the level of ALB of patients who had accepted DPMAS and PE + DPMAS in the intervention group were 25.3(24.0, 27.9) and 23.2(22.4, 26.3) g/L, which were lower than the 28.2(26.3, 29.7) and 29.4(27.2, 30.0) g/L in the control group, the differences were significant ( Z = 2.47, 3.55, both P<0.05). After the therapy, the level of PT of patients in the intervention group under all three treatment modes were 15.8(14.8, 16.8), 22.7(19.2, 26.2) and 6.0(14.6, 20.0) s, which were lower than the 17.4(15.9, 20.9), 26.3(21.4, 36.4) and 21.2(16.9, 23.4) s in the control group, the differences were significant ( Z = 2.10, 2.07, 2.21, all P<0.05). In the intervention group, there were 6 cases of hypotension, anaphylaxis, bleeding, coagulation and infection under the DPMAS treatment mode, which was significant lower than the 11 cases in the control group ( χ2 = 4.97, P<0.05). There were 4 cases in the intervention group with the PE + DPMAS treatment mode occurred complications in above, which were significant lower than the 11 cases in the control group ( χ2 = 6.87, P<0.01). Conclusions:Artificial liver treatment can improve patients′ liver function and coagulation, and list nursing management may help to improve the effect of artificial liver treatment. It can improve nurses′ awareness of risk prejudgement, reduce various risks in the treatment process, reduce the incidence of adverse reactions, and enhance health care and patient satisfaction.
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Objective:To explore the influence of hypercholesterolemia on the risk of chronic kidney disease (CKD) in the middle-aged and elderly population and the gender differences.Methods:The data came from the "Epidemiological Survey of Chronic Kidney Disease among Adults in Urban Communities in Henan Province". The subjects came from 20 communities in Henan Province, aged ≥45 years old. Groups were based on the quartile of total blood cholesterol level and gender. Multivariate logistic regression and Cochran-Armitage trend test were used to analyze the effect of hypercholesterolemia on the risk of CKD and its gender differences.Results:A total of 4 779 subjects were enrolled into the study, with 1 934 males (40.5%) and 2 845 females (59.5%). The age was (61.3±7.7) years old and the blood cholesterol was (5.0±1.0) mmol/L. The prevalence rates of hypercholesterolemia, albuminuria, and reduced estimated glomerular filtration rate (eGFR) were 10.7%(305/2 845), 6.4%(182/2 845) and 2.8%(79/2 845) in females and 12.7%(245/1 934), 6.9%(133/1 934) and 2.3%(45/1 934) in males respectively. Compared with Q1 group, the prevalence of reduced eGFR in females were higher in Q2 and Q4 groups (both P<0.05). Among males, the prevalence of albuminuria and reduced eGFR increased with increasing blood cholesterol quartile (Cochran-Armitage trend test Z=12.231, 8.862, both P<0.001). Multivariate logistic regression analysis showed that hypercholesterolemia was an independent influencing factor for albuminuria and reduced eGFR ( OR=1.49, 95% CI 1.08-2.07, P=0.016 and OR=1.65, 95% CI 1.03-2.65, P=0.037, respectively). In subgroup analysis of different genders, female hypercholesterolemia was an independent influencing factor for albuminuria and reduced eGFR, while male hypercholesterolemia was not an independent influencing factor ( OR=1.54, 95% CI 0.96~2.46, P=0.075; OR=1.89, 95% CI 0.93-3.89, P=0.082, respectively). Further subgroup analysis based on the interquartile range of serum cholesterol levels found that female hypercholesterolemia was an independent influencing factor for reduced eGFR in the Q2 and Q4 groups ( OR=2.35, 95% CI 1.29-7.61, P=0.003; OR=2.51, 95% CI 1.38-8.39, P=0.001). In males, hypercholesterolemia was an independent influencing factor for albuminuria in the Q2, Q3 and Q4 groups ( OR=1.80, 95% CI 1.01-3.41, P=0.047; OR=1.85, 95% CI 1.02-3.35, P=0.044; OR=2.33, 95% CI 1.33-4.33, P=0.002). Conclusions:Hypercholesterolemia is an independent risk factor for CKD in middle-aged and elderly population, and there are gender differences, which provides a new idea for clinical prevention and control of CKD.
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Objective@#To investigate the risk factors of clinically diagnosed acute kidney injury (AKI) patients progressing to acute kidney disease (AKD).@*Methods@#The clinical data of AKI patients admitted to the First Affiliated Hospital of Zhengzhou University from January 1, 2018 to December 31, 2018 were retrospectively analyzed. According to the outcome of the patients, AKI patients were divided into non-acute kidney disease (NAKD) group and AKD group. Clinical characteristics and laboratory data of two groups were compared. The risk factors of AKD in patients with AKI were analyzed by logistic regression, and then the receiver operating characteristic curve (ROC) was drawn to evaluate the predictive value of these risk factors.@*Results@#A total of 254 patients with AKI were enrolled, and 186 patients developed AKD with an incidence of 73.2%. The incidences of AKD in stage 1, stage 2 and stage 3 of AKI were 20.0%, 46.7% and 83.5% respectively. Multivariate logistic regression analysis showed increased peak serum creatinine (within 7 days after AKI diagnosis) (OR=2.561, 95% CI 1.584-4.140, P<0.001), proteinuria (OR=2.952, 95% CI 1.162-7.500, P=0.023) and increased intact parathyroid hormone (OR=1.757, 95%CI 1.104-2.797, P=0.017) were independent risk factors for progression to AKD in patients with AKI. The ROC showed that increased peak serum creatinine (within 7 days after AKI diagnosis) was an important predictor of AKD in patients with AKI (AUC=0.798, P<0.001).@*Conclusion@#Increased peak serum creatinine (within 7 days after AKI diagnosis), proteinuria and increased intact parathyroid hormone are independent risk factors for progression to AKD in patients with AKI, providing new evidences and ideas for clinical preventions and treatments of AKD.
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Objective To investigate the risk factors of clinically diagnosed acute kidney injury (AKI) patients progressing to acute kidney disease (AKD). Methods The clinical data of AKI patients admitted to the First Affiliated Hospital of Zhengzhou University from January 1, 2018 to December 31, 2018 were retrospectively analyzed. According to the outcome of the patients, AKI patients were divided into non - acute kidney disease (NAKD) group and AKD group. Clinical characteristics and laboratory data of two groups were compared. The risk factors of AKD in patients with AKI were analyzed by logistic regression, and then the receiver operating characteristic curve (ROC) was drawn to evaluate the predictive value of these risk factors. Results A total of 254 patients with AKI were enrolled, and 186 patients developed AKD with an incidence of 73.2％. Theincidences of AKD in stage 1, stage 2 and stage 3 of AKI were 20.0％, 46.7％and 83.5％respectively. Multivariate logistic regression analysis showed increased peak serum creatinine (within 7 days after AKI diagnosis) (OR=2.561, 95％ CI 1.584-4.140, P<0.001), proteinuria (OR=2.952, 95％ CI 1.162-7.500, P=0.023) and increased intact parathyroid hormone (OR=1.757, 95％CI 1.104-2.797, P=0.017) were independent risk factors for progression to AKD in patients with AKI. The ROC showed that increased peak serum creatinine (within 7 days after AKI diagnosis) was an important predictor of AKD in patients with AKI (AUC=0.798, P<0.001). Conclusion Increased peak serum creatinine (within 7 days after AKI diagnosis), proteinuria and increased intact parathyroid hormone are independent risk factors for progression to AKD in patients with AKI, providing new evidences and ideas for clinical preventions and treatments of AKD.