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Objective:To analyze the clinical characteristics of elderly-onset gouty arthritis and risk factors of tophi.Methods:A total of 1 239 gout patients were retrospective selected in the outpatient department of the Gout Clinical Medical Center of the Affiliated Hospital of Qingdao University from 2016 to 2022. According to age of onset, they were divided into the young and middle-aged group(aged<60) consisted of 826 cases, and the elderly group(aged≥60) consisted of 413 cases. Compare the clinical characteristics of elderly with Young and Middle-aged patients.Results:The systolic blood pressure, fasting blood glucose, creatinine, regular exercise, comorbidities, and tophi in the elderly group was higher than that in the middle-aged and young group. The proportion of diastolic blood pressure, serum triglycerides, eGFR, serum uric acid, alcohol consumption rate, and family history of gout was lower than that of young and middle-aged group( P<0.05); In the elderly-onset group, the initial site of arthritis was commonly observed in the first metatarsophalangeal joint. The proportion of the first attack with the upper limb joint was higher in old age group than in young and middle age group( P<0.05). Renal underexcretion type was the main subtype in the elderly group, and the proportion of overproduction type was higher than that of the young and middle-aged group( P<0.05). The logistic regression analysis showed that age, urea nitrogen, disease duration≥10 years and family history of gout were risk factors for tophi in elderly patients( P<0.05). Conclusion:The elderly-onset gout has unique clinical characteristics, characterized by a higher prevalence of tophi, a higher rate of complications. An initial site of arthritis commonly observed in the first metatarsophalangeal joint and the predominant type of uric acid excretion is renal excretion impairment. Early diagnosis and treatment, control of blood uric acid levels, smoking cessation and alcohol, regular exercise should be applied to prevent or delay the formation of tophi.
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Objective:To investigate the clinical characteristics and risk factors of multiple tophi among gout patients.Methods:Gout patients treated at Affiliated Hospital of Qingdao University from September 2017 to September 2021 were included retrospectively. According to the number of tophi, the patients were divided into the multiple tophi group, the single tophi group and the non-tophi group. Clinical data were collected, biochemical indices and urine pH value were determined. One- way ANOVA or Chi-square test was used to compare groups, and multivariate logistic regression was used to analyze the risk factors. Results:The age, disease course, blood pressure, serum uric acid, urea nitrogen, and the rate of family history, smoking, drinking, gout attacks≥2 twice per year, hypertension, cardio-cerebrovascular diseases, kidney stones in the multiple tophi group were significantly higher than those in the single tophi group and the non-tophi group. The glomerular filtration rate, urine pH value and the rate of regular exercise were significantly lower than those of single tophi group and non-tophi group. In the multiple tophi group, 245 cases(44.46%) were involved in the interphalangeal joint or metacarpophalangeal joint, 212 cases(38.47%) were involved in other joints of the upper limb, which was second only to the first metatarsophalangeal joint(349 cases, 63.33%). Logistic regression analysis showed that the course of disease, urea nitrogen, serum uric acid, positive family history, drinking, gout attacks ≥twice per year and hypertension were the risk factors for multiple tophi in gout patients. Conclusion:Patients with a long disease course, elevated uric acid, high urea nitrogen, positive family history, alcohol consumption, frequent gout flare and hypertension are more likely to develop multiple tophi.
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Objective:To analyze the influencing factors of gout patients and explore whether there is an interaction between serum uric acid and diastolic blood pressure affecting the onset of tophi.Methods:A total of 4 798 gout patients were retrospective selected in the outpatient Department of the Gout Clinical Medical Center of the Affiliated Hospital of Qingdao University from September 2016 to May 2020. It was divided into tophi group and non-tophi group to compare the differences in indicators. A logistic regression model was used to analyze the influencing factors of tophi, and an interaction model was constructed to analyze the interactions.Results:Multivariate logistic regression analysis showed significant associations between age, diastolic blood pressure, alcohol consumption history, gout family history, blood uric acid, urea nitrogen, and creatinine clearance and tophi formation. The results of blood uric acid-related interaction analysis showed a significant interaction between blood uric acid and diastolic blood pressure( Pinteraction=0.014), and the risk of developing tophi in low diastolic blood pressure and high diastolic blood pressure group increased by 34.4%( OR=1.344, 95% CI 1.105-1.635, P=0.003) and 95.4%( OR=1.954, 95% CI 1.558-2.450, P<0.001) in the high blood uric acid group compared with the low blood uric acid group. The results of diastolic blood pressure and blood uric acid subgroup analysis showed that there was no statistical difference in the risk of developing tophi in people with low uric acid levels( P=0.238), but in people with high uric acid levels, the risk of developing tophi was 67%( OR=1.670, 95% CI 1.379-2.022, P<0.001) higher than that in the low uric acid group. Conclusion:Age, diastolic blood pressure, combined alcohol consumption history and gout family history, blood uric acid, renal function are related to the occurrence of tophi. High uric acid and high diastolic blood pressure have interaction on the occurrence of tophi. Attention and proactive intervention shall be applied to this group of patients.
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Objective:To analyze the clinical characteristics and risk factors of impaired liver and renal function in hospitalized patients with gout.Methods:A total of 494 hospitalized patients with confirmed gout were selected and divided into four groups according to liver and renal function, control(Con), impaired liver function (ILF), impaired renal function (IRF), and both function impaired (ILRF) group. Multivariate logistic regression was used to analyze the risk factors related with impaired liver and renal function.Results:Compared to Con group, ILF group were younger with shorter gout duration, higher body mass index, waist circumference, homeostasis model assessment for insulin resistance (HOMA-IR), serum uric acid, low density lipoprotein-cholesterol (LDL-C), total cholesterol, triglycerides, C reactive protein, higher prevalence of dyslipidemia, obesity, fatty liver, and monosodium urate crystal (MSU) deposition (all P<0.05). IRF group were older and with higher serum uric acid, serum creatinine, C reactive protein, and hypertension, MSU deposition prevalence, with lower prevalence of fatty liver (all P<0.05). Compared to ILF group, IRF group were older, with longer gout duration, lower level of body mass index, waist circumference, HOMA-IR, LDL-C, total cholesterol, triglycerides, lower prevalence of obesity, fatty liver, and higher prevalence of hypertension and type 2 diabetes (all P<0.05). The univariate logistic regression analysis showed that age( OR=0.941, 95% CI 0.906-0.977, P<0.001), serum uric acid ( OR=1.002, 95% CI 1.000-1.005, P=0.043), HOMA-IR ( OR=1.147, 95% CI 1.024-1.285, P=0.018), and MSU deposition ( OR=1.959, 95% CI 1.154-3.326, P=0.013) were the independent risk factors of impaired liver function, while the independent risk factors of impaired renal function were age ( OR=1.104, 95% CI 1.048-1.162, P<0.001), serum uric acid ( OR=1.007, 95% CI 1.004-1.010, P<0.001), and MSU deposition ( OR=2.393, 95% CI 1.191-4.805, P=0.014). Conclusions:Serum uric acid and MSU deposition are the common independent risk factors for impaired liver and renal function in patients with gout. Younger patients with insulin resistance are susceptible to impaired liver function, older patients with hypertension and diabetes are susceptible to impaired renal function.
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Objective:To analyze the clinical characteristics and risk factors associated with the formation of subcutaneous tophi among young gout patients.Methods:Gout patients treated at the Affiliated Hospital of Qingdao University from September 2016 to June 2020 were included. The clinical information was collected and relevant biochemical indices were detected. Fasting urine was collected to test urine pH value, urine uric acid and urine creatinine. Patients were divided into young tophi group and non-tophi group according to age. The measurement data of normal distribution was expressed as Mean±Standard deviation, and independent sample t test and one-way analysis of variance were used. The counting data was tested by Chi-square test. The risk factors were analyzed by logistic regression. Results:A total of 4 798 primary gout patients were collected. There were 915 patients with subcutaneous tophi, 2 308 young gout patients, 252 young gouty tophi patients among them. The average BMI, waist circumference, hip circumference, triglyceride level, serum uric acid level, glomerular filtration rate, alanineamino -transferase (ALT) and aspartate amino -transferase (AST) in the young tophi group were significantly higher than those in the middle-age tophi group ( F=46.074, 2.551, 9.203, 10.370, 15.118, 68.741, 35.023, 5.175, all P<0.05). Average age of disease onset, systolic blood pressure, fasting blood glucose, urine FEUA, Uua/Ucr and urea nitrogen level in young tophi group were significantly lower than those in middle-age tophi group ( F=474.876, 7.629, 6.441, 34.877, 3.633, 50.867, all P<0.05]. The age [(35±7) years old vs (33±7) years old], disease course [(7±4) years vs (4±3) years], blood pressure [(139±17) mmHg vs (135±16) mmHg], [(90±13) mmHg vs (86±12) mmHg], serum triglyceride [(2.6±2.1) mmol/L vs (2.4±2.0) mmol/L], total cholesterol [(4.9±1.4) mmol/L vs (4.6±1.4) mmol/L], serum uric acid [(547±171) μmol/L vs (490±160) μmol/L], urea nitrogen [(5.0±2.0) mmol/L vs (4.4±1.7) mmol/L], family history (27.0% vs 19.6%) and smoking rate(56.0% vs 48.9%) of tophi patients were significantly higher than those of non-tophi patients in young patients ( t=4.717, P<0.05; t=12.838, P<0.05; t=3.414, P<0.05; t=4.676, P<0.05; t=2.085, P<0.05; t=2.451, P<0.05; t=5.308, P<0.05; t=4.090, P<0.05; χ2=7.423, P<0.05; χ2=4.235, P<0.05) . The age of disease onset [(28±6) years vs (29±7) years] and glomerular filtration rate [(96±21) ml·min -1·1.73 m -2vs (103±21) ml·min -1·1.73 m -2] were statistically significantly lower than those of non-tophi patients ( t=-2.711, P<0.01; t=-4.907, P<0.01). Logistics regression analysis showed that age, course of disease, blood pressure, blood lipids level, serum uric acid level, family history of gout and smoking were risk factors for the formation of tophi in young people. After further adjusted for age, course of disease and family history of gout, it was found that serum uric acid, systolic blood pressure, diastolic blood pressure and urea nitrogen remined risk factors for tophi, while glomerular filtration rate remained a protective factor in young patients. Conclusion:Young tophi patients are always obese and have lipid metabolism disorder. Young patients with high level of serum uric acid and blood pressure, decreased renal function are prone to complicate with subcutaneous tophi. More attention should be paid in clinical practice to prevent or delay the formation of tophi.
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Objective@#To analyze the risk factors of frequent gout flare, and to evaluate its susceptibility to identify patients with≥2 acute attacks per year.@*Methods@#A total of 579 of cases gout patients with no history of taking urate lowering treatment (ULT) in recent 12 months were enrolled. The patients were divided into frequent group (gout episodes≥twice per year) and non-frequent group(gout attacks<twice per year). The clinical information was collected and relevant biochemical indices were detected.@*Results@#There were significant differences in involvement of upper limb joints, tophi, combining hypertension and renal stone between two groups. The two groups had no statistical differences in family history, gender, history of smoking and drinking, ratios of regular exercise, and combining diabetes, hepatic insufficiency, hypertriglyceridemia, hypercholesterolemia, and overweight/obesity. There was significant differences in the number of joints involved, the history of disease duration, the level of SUA and TG[(4.66±2.54) vs (2.77±1.64), (6.68±5.11) vs (5.14±3.89) years, (525.82±132.11) vs (489.33±139.81) μmol/L, (2.51±1.94) vs (2.05±1.22) mmol/L, P<0.05 or P<0.01]; There were no statistical differences in age of onset, SBP, DBP, age of initial diagnosis, fasting blood glucose, TC, creatinine, glomerular filtration rate, AST, ALT, body mass index, waist circumference, and waist-to-hip ratio. Logistic regression analysis indicated that a large number of joints involved and higher serum uric acid level were risk factors of frequent gout attacks. The ROC curve showed that the number of joints involved had qualified performance in identifying patients with frequent gout attacks. When the number of joints involved was >2, and the sensitivity, specificity, positive predictive value and negative predictive value were 77.8%, 43.3%, 85.6%, and 56.6%, respectively, and the difference was significant.@*Conclusion@#Higher SUA and a larger number of joints involved associate independently with frequent gout attacks. The number of joints involved at initial diagnosis>2, which can predict the frequent flare, and start ULT as earlier as possible. Patients with joints involved at initial diagnosis>2 are at greater risk of frequent gout flare.
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Objective@#To investigate the risk factors for susceptibility of abnormal liver function in patients with gout.@*Methods@#A total of 5 044 cases of male gout patients in remission were selected and divided into normal liver function group with 3 693 patients and abnormal liver function group with 1 351 patients. The clinical information was collected and relevant biochemical indices were detected. Serum uric acid(SUA) was divided into quartiles, and its associations with elevated ALT were evaluated.@*Results@#There were significant differences in the history of drinking, family history, combining with hyperlipidemia, fatty liver, and coronary heart disease between the abnormal liver function group and normal function group(P<0.05 or P<0.01). There were significant statistical differences in age, disease duration, body mass index, waist circumference, diastolic blood pressure, serum cholesterol and triglyceride, uric acid, and creatinine clearance rate between 2 groups(P<0.01), while without significant difference in history of smoking, regular exercise, combining hypertension and diabetes, the means of systolic blood pressure, and fasting blood glucose(all P>0.05). Further logistic regression analysis indicated that body mass, waist circumference, combining fatty liver, higher SUA level, higher cholesterol and triglyceride were risk factors of the early onset of abnormal liver function. ALT and the proportion of abnormal liver function were increased with the increase of UA. After adjustment for BMI, TG, TC and fatty liver, the ALT level and the proportion of abnormal liver function decreased significantly while still showed an upward trend.@*Conclusion@#Patients with obesity, high level of uric acid, high blood lipids and fatty liver were more likely to develop abnormal liver function, SUA was independently associated with elevated ALT.
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Objective@#To screen gene mutation information of gout pedigree through whole genome sequencing and to carry out preliminary analysis.@*Methods@#One typical gout pedigree was selected as the study subjects. The clinical data and the peripheral blood samples were collected and constructed charts of the pedigree. DNAs were extracted from peripheral blood and analyzed by the whole genome sequencing, and by the software analysis and comparison, screening out the pathogenic genes and related mutations. Then the verifications were conducted in the family members and the controls. Bioinformatics software was applied to predict the effect of mutation on gene expression.@*Results@#Based on the sequencing results, advanced informational analysis was performed to screen out the mutations 1040-8 A> G near the 5 ′end near the exon 8 of the PLAA gene. The results showed that all the gout patients in the family had 1040 -8 A> G sites, and none of the mutants were found in the non-gout group and 200 controls; bioinformatics analysis suggested that the mutation could affect PLAA gene expression, but not affecting PLAA mRNA structure.@*Conclusion@#PLAA gene 1040-8 A> G mutation is separated from patients in the gout pedigree, and the newly discovered PLAA gene may act as a gout pathogenic gene.
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Objective:To screen gene mutation information of gout pedigree through whole genome sequencing and to carry out preliminary analysis.Methods:One typical gout pedigree was selected as the study subjects. The clinical data and the peripheral blood samples were collected and constructed charts of the pedigree. DNAs were extracted from peripheral blood and analyzed by the whole genome sequencing, and by the software analysis and comparison, screening out the pathogenic genes and related mutations. Then the verifications were conducted in the family members and the controls. Bioinformatics software was applied to predict the effect of mutation on gene expression.Results:Based on the sequencing results, advanced informational analysis was performed to screen out the mutations 1040-8 A> G near the 5 ′end near the exon 8 of the PLAA gene. The results showed that all the gout patients in the family had 1040 -8 A> G sites, and none of the mutants were found in the non-gout group and 200 controls; bioinformatics analysis suggested that the mutation could affect PLAA gene expression, but not affecting PLAA mRNA structure.Conclusion:PLAA gene 1040-8 A> G mutation is separated from patients in the gout pedigree, and the newly discovered PLAA gene may act as a gout pathogenic gene.
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Objective:To analyze the risk factors of frequent gout flare, and to evaluate its susceptibility to identify patients with≥2 acute attacks per year.Methods:A total of 579 of cases gout patients with no history of taking urate lowering treatment (ULT) in recent 12 months were enrolled. The patients were divided into frequent group (gout episodes≥twice per year) and non-frequent group(gout attacks<twice per year). The clinical information was collected and relevant biochemical indices were detected.Results:There were significant differences in involvement of upper limb joints, tophi, combining hypertension and renal stone between two groups. The two groups had no statistical differences in family history, gender, history of smoking and drinking, ratios of regular exercise, and combining diabetes, hepatic insufficiency, hypertriglyceridemia, hypercholesterolemia, and overweight/obesity. There was significant differences in the number of joints involved, the history of disease duration, the level of SUA and TG[(4.66±2.54) vs (2.77±1.64), (6.68±5.11) vs (5.14±3.89) years, (525.82±132.11) vs (489.33±139.81) μmol/L, (2.51±1.94) vs (2.05±1.22) mmol/L, P<0.05 or P<0.01]; There were no statistical differences in age of onset, SBP, DBP, age of initial diagnosis, fasting blood glucose, TC, creatinine, glomerular filtration rate, AST, ALT, body mass index, waist circumference, and waist-to-hip ratio. Logistic regression analysis indicated that a large number of joints involved and higher serum uric acid level were risk factors of frequent gout attacks. The ROC curve showed that the number of joints involved had qualified performance in identifying patients with frequent gout attacks. When the number of joints involved was >2, and the sensitivity, specificity, positive predictive value and negative predictive value were 77.8%, 43.3%, 85.6%, and 56.6%, respectively, and the difference was significant. Conclusion:Higher SUA and a larger number of joints involved associate independently with frequent gout attacks. The number of joints involved at initial diagnosis>2, which can predict the frequent flare, and start ULT as earlier as possible. Patients with joints involved at initial diagnosis>2 are at greater risk of frequent gout flare.
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Objective:To investigate the risk factors for susceptibility of abnormal liver function in patients with gout.Methods:A total of 5 044 cases of male gout patients in remission were selected and divided into normal liver function group with 3 693 patients and abnormal liver function group with 1 351 patients. The clinical information was collected and relevant biochemical indices were detected. Serum uric acid(SUA) was divided into quartiles, and its associations with elevated ALT were evaluated.Results:There were significant differences in the history of drinking, family history, combining with hyperlipidemia, fatty liver, and coronary heart disease between the abnormal liver function group and normal function group( P<0.05 or P<0.01). There were significant statistical differences in age, disease duration, body mass index, waist circumference, diastolic blood pressure, serum cholesterol and triglyceride, uric acid, and creatinine clearance rate between 2 groups( P<0.01), while without significant difference in history of smoking, regular exercise, combining hypertension and diabetes, the means of systolic blood pressure, and fasting blood glucose(all P>0.05). Further logistic regression analysis indicated that body mass, waist circumference, combining fatty liver, higher SUA level, higher cholesterol and triglyceride were risk factors of the early onset of abnormal liver function. ALT and the proportion of abnormal liver function were increased with the increase of UA. After adjustment for BMI, TG, TC and fatty liver, the ALT level and the proportion of abnormal liver function decreased significantly while still showed an upward trend. Conclusion:Patients with obesity, high level of uric acid, high blood lipids and fatty liver were more likely to develop abnormal liver function, SUA was independently associated with elevated ALT.
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Objective:To explore the risk factors for hypogonadism in male patients with hyperuricemia(HUA).Methods:A total of 245 male patients with HUA were enrolled. Height, weight, waist circumference (WC), blood pressure, serum uric acid(SUA), triglyceride (TG), total cholesterol, low density lipoprotein-cholesterol, high density lipoprotein-cholesterol, alanine aminotransferase(ALT), aspartate aminotransferase, glutamyltranspeptidase, blood urea nitrogen, serum creatinine, fasting blood glucose (FPG), fasting insulin (FINS)and sex hormones were measured in all patients. And then body mass index (BMI), free testosterone(FT), and homeostasis model assessment of insulin resistance index (HOMA-IR)were calculated. Male androgen deficiency questionnaire (ADAM)and male aging symptom questionnaire (AMS)were conducted. The patients were divided into hypogonadism group ( n=102)and normal gonadal function group ( n=143) according to FT level as well as ADAM and AMS questionnaires. The differences in different metabolic indicators between the two groups and the correlation with hypogonadism were analyzed. Results:Compared with the normal gonadal function group, WC, SUA, BMI, FPG, FINS, HOMA-IR, TG, and ALT were significantly increased, while estradiol level was significantly reduced in the hypogonadism group (all P<0.05). The proportions of nonalcoholic fatty liver, hyperlipidemia, and obesity were significantly increased in the hypogonadism group (all P<0.05). Logistic regression analysis showed that SUA, BMI, WC, HOMA-IR, and TG were independent risk factors for hypogonadism in male HUA patients. Multivariate regression analysis showed that SUA still was a risk factor after adjusting for other factors. Conclusion:Male patients with HUA were often accompanied by hypogonadism. SUA, BMI, WC, HOMA-IR, and TG were risk factors for hypogonadism in male patients with HUA.
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Objective:To investigate the therapeutic effect and influencing factors of alkalized urine in patients with gout, thus providing the basis for the clinical treatmeat.Methods:A total of 90 cases of gout patients in remission without alkalization of urine and lowering uric acid treatment were selected from January 2019 to June 2019. All patients were given a low purine diet (purine intake<200 mg/d). 90 patients were randomly divided into different drugs of alkalized urine groups according to rardom number table: sodium bicarbonate group, taking potassium sodium hydrogen citrate 1.0 g tid; the citrate granule group, taking potassium sodium hydrogen citrate 2.5 g tid; and control group, taking low purine diet only. On the 5th day of treatment, fasting urine in the morning was retained, breakfast was prescribed, and alkalized urine drugs were taken after the meal. Their urine pH was determined at 1 h, 2 h, 3 h, and 4 h after the medicine taken, and copmare the changes of urine pH in different groups. Taking urine pH 6.2 as cut-off point, patients receiving alkalized urine drugs were divided into the standard group (urine pH≥6.2) and the non-standard group (urine pH<6.2) according to their mean urine pH at 2 h, 3 h, and 4 h after taking medicine. Finally, the influencing factors of urine pH were compared between the groups.Results:There were no significant differences in fasting urine pH between the sodium bicarbonate group and the control group, but the urine pH of 2 h and 3 h after sodium bicarbonate taken were significantly higher than the control group ( P<0.05). The urine pH of the citrate granule group was higher than the control group and the sodium bicarbonate group on fasting and at any time after taking drugs ( P<0.05 or P<0.01). The peak pH value of urine in the sodium bicarbonate and citrate granule groups was 4 h after taking drugs, followed by 2 h and 3 h. There were statistically significant differences in body mass index, waist circumference, and blood pressure between the standard and non-standard groups ( P<0.05 or P<0.01). Conclusion:Fasting urine pH alone can not be used as an index for the efficacy of alkalized urine, it is recommended to refer to the pH value of 2-4 h after taking drugs. The efficacy of potassium sodium hydrogen citrate was better than that of sodium bicarbonate. Obesity or overweight seems to be an adverse factor affecting the alkalized urine.
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Tophus is the sign of chronic gout, which can lead to bone destruction, joint dysfunction, and significantly increase the risk of cardiovascular disease and death. Tophus has a structure of chronic foreign body granuloma,and extracellular reticular trap of neutrophils may be the main mechanism for the formation of tophi. Several factors can lead to the tophus formation. This article reviews the recent advances in the study of biology,risk factors and therapy of tophus.
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Objective To evaluate the effect of individualized rehabilitation extended nursing on activities of daily living (ADL) in children with cerebral palsy. Methods A total of 156 cases of non-operative children with severe disorder of cerebral palsy from January to December 2017 in Sichuan 81 Rehabilitation Center, of 101 males and 55 females, aged 2-7 years with weighting 9 to 21 kg, were divided into 2 groups according to the time sequence, of which 70 cases of January to June 2017 before extension nursing as control group and 86 cases of July to December 2017 after extension nursing as observation group. The control group was received routine nursing according to the ADL rating scale, and the observation group was adopted the extended nursing method, according to the ADL rating scale to evaluate and judge the barrier grade, and chosen the suitable measures for rehabilitation nursing according to the individualized principle.The rehabilitation assessment was carried out before extended nursing (W0), the second week after extended nursing (W2), fourth week (W4), sixth week (W6), eighth week (W8), tenth week (W10), and twelfth week (W12) respectively. Results There was no significant difference in gender, age, weight and ADL scores at the time point of W0between the two groups (P>0.05). The ADL scores of the two groups were increased with the treatment time, and the increase of the observation group was greater than that of the control group. Compared with the control group, the ADL scores of the observation group were increased significantly at the time of W4to W12(P<0.01).After 12 weeks of treatment, there were 25 cases of mild disorders (29% ), 46 cases of moderate disorder (53.5% ) and 15 cases of severe disorder (17.5% ) in the observation group, and 3 cases of mild disorders (4.3% ), 38 cases of moderate disorder (54.3% ) and 29 cases of severe disorder (41.4% ) in the control group, and the observation group was obviously better than that of the control group (χ2=21.083,P<0.01). Conclusion Individualized rehabilitation extended nursing can improve ADL in children with cerebral palsy.
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Objective Obesity is one of the risk factors for gout.The aim of the present study was to evaluate clinical characteristics of gout patients with different BMI.Methods A total of 5 104 patients with gout were enrolled and divided into three groups according to the BMI.The clinical information was collected and relevant biochemical indices were detected.SPSS software was applied for the statistical analyses.Results There were significant differences in the ratios of gender,regular exercise,hypertension,tophus,renal insufficiency,hyperlipidemia,impaired glucose metabolism,liver dysfunction among the three groups (all P<0.01).The onset age in overweight [45(36,55) years] and obese subjects [40(31,50)years] were earlier than that of the normal weight subjects [50 (38,61) years].Moreover,waist circumstances [103(99,108) cm and 94 (90,98) cm vs 87 (82,91) cm],systolic pressure [130 (120,145) mmHg (1 mmHg =0.133 kPa) and 130 (120,140) mmHg vs 128 (115,140) mmHg],diastolic pressure [90 (80,100) mmHg and 85 (80,92) mmHg vs 80 (79,90) mmHg],fasting blood glucose [5.77 (5.30,6.44) mmol/L and 5.65 (5.19,6.26) mmol/L vs 5.55 (5.10,6.15) mmol/L],TG [2.10 (1.46,3.04) mmol/L and1.88 (1.35,2.78) mmol/L vs 1.52 (1.07,2.39) mmol/L],TC [5.20 (4.55,5.93) mmol/L and 5.07 (4.46,5.75) mmol/L vs 4.95 (4.27,5.65) mmol/L],serum uric acid [483(418,552) μmol/L and461(395,524) μmol/L vs440 (368,517) μmol/L],ALT [30 (21,46) U/L and25 (18,36) U/L vs 21 (14,29) U/L],AST [21(17,28) U/L and 20 (17,26) U/L vs 20 (6,25) U/L],the number of joints involved [2 (1,3) joints and 2 (1,2) joints vs 1 (1,2) joints] in the overweight and obese groups were higher than those in the normal weight group (all P < 0.01).There were no statistical differences in family history,involvement of upper limb joints,kidney stones and coronary heart disease among the three groups (all P > 0.05).Conclusions Obesity is associated with an earlier age of gout onset.With the increase of BMI,the blood pressures,glucose,lipid,serum uric acid,liver transaminase levels and the number of involved joints increased gradually.Cautions should be taken in treating patients with different BMI.
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According to the onset age, a total of 5 674 outpatients with gout admitted in the affiliated hospital of Qingdao University from January 2011 to January 2016 were divided into youth group (≤44 years, n=3 058), middle age group (45~64 years, n=2 101), and elderly group (≥65 years, n=515).Their clinical and biochemical characteristics were analyzed.The results showed that the proportion of gout in the males in three groups was higher than that in the females.The proportions of gout in male youth, middle age, and elderly groups were 98.1%, 93.4%, and 83.1%, respectively.The proportion of gout in females increased with age.The proportion of gout family history in youth group was higher than that in middle age and elderly groups(P0.05).The distributions of the onset joint among three groups revealed statistical difference(P<0.05), but the first plantar toe joint was mostly involved in each group.These results suggest that the clinical characteristics of patients with gout at different onset ages are not identical, should be treated differently.
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Objective To discuss the risk factors for susceptibility of subcutaneous tophi with an aim to provide clinical evidence for the prevention and treatment of tophi.Methods A total of 5 321 cases of gout patients whose course of disease was less than 10 years were selected and divided into two groups according to whether a subcutaneous tophus was present. The clinical information was collected and relevant biochemical indices were detected.Results There were significant differences in the ratios of regular exercise, involvement of upper limb joints, combining renal insufficiency, kidney stone and coronary heart disease between the tophus group and the non-tophus group(P0.05). Further logistic regression analysis indicated that disease duration, a large number of joints involved, the involvement of upper limb joints, combining kidney stones, higher serum uric acid level, and higher diastolic pressure were risk factors of the early onset of subcutaneous tophi, while regular exercise and body mass index were protective factors.Conclusion Patients with long duration, high serum level of uric acid, a large number of joints involved, upper limb joint involved, kidney stones, and hypertension were more likely to develop subcutaneous tophi. These risk factors should be intervened actively in clinic.
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Objective The aim of this study was to inve-stigate the associations between genetic variants in interleukin (IL)-33 and susceptibility to gout.Methods The genetic distributions of rs3939286 were detected in 1 100 men with gout and 1 227 ethnically matched controls using Taqman allelic discrimination real-time polymerase chain reaction (PCR).Hardy-Weinberg was used to verify the representativeness of the samples.Differences in genetic distributions between groups were investigated using x2 tests.The genotypephenotype relationship among gout patients was tested by analysis of variance.Results The frequencies of AA,AG and GG genotypes were1,101 and 998 (0.1%,9.2% and 90.7%) among gout patients,while they were 1 132 and 1 094 (0.1%,10.7% and 89.2%) among the controls.There were no significant differences in genetic distributions of IL-33 rs3939286 polymorphism between gout patients and controls (P=0.478 by genotype,x2=1.46,P=0.309 by allele).Conclusion Our results have revealed that the rs3939286 variant in IL-33 gene may be not involved in the development of gout in male gout patients of Shandong.However,further studies in other ethnic groups are needed to confirm the results.
Résumé
Objecthe Children's heart valves by Dual-Source Compater Tomography(DS CT)images were enhanced and segmented in order to reconstruct 3D construction of heart valves and make motion analysis based on this model.Method,Adaptive seed-filling algorithm is proposed in this paper to segment interested region of heart based on DS CT images.Contoudet transform is used to enhance and segment heart valve based on the part-segmented image.Result With these methods,DS CT images were SUCCESS fully pro-cessed and segmented in Matlab 7.0 and clear images of mitral valves were got.Condusions The adaptive seed-filling algorithm proposed in this paper and Contourlet transform are very useful for segmentation in dif-ferent situation.The experimental result in this paper proides useful reference for doctors in their research on the motion of mitral valves and planning on surrgical operation of mitTal valves.