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Objective:To establish the objective of zero inventory management of in vitro diagnostic reagents,to evaluate the quality of supply chain,and to improve the existing problems in the supply of reagents.Methods:The problems existing in the management of in vitro diagnostic reagents were analyzed from the aspects of inventory,supply efficiency and product quality,and the management system of hospital operation,management quality and patient benefit optimization was established,and the zero-inventory management path and quality evaluation model were constructed.85 models of 21 types of in vitro diagnostic reagents purchased by Jiangsu Subei People's Hospital from January 2020 to March 2023 were selected.According to different supply chain quality management methods,on-demand inventory management mode(referred to as mode 1)and zero inventory management mode(referred to as mode 2)were adopted respectively.The demand procurement,inventory management and clinical use effects of the two management modes were compared.Results:The reagent procurement demand compliance rate,supply capacity high-quality quality rate and clinical use matching rate of mode 2 were(93.35±3.62)%,(94.87±2.63)% and(96.08±2.31)%,respectively,which were higher than those of mode 1,the difference was statistically significant(Z=2.489,2.836,2.838,P<0.05).The number of cases of long-term overstocking of products,substandard environment and untimely information in mode 2 were(2.92±2.54)cases,(2.83±1.59)cases and(5.58±3.12)cases,respectively,which were lower than those in mode 1,the difference was statistically significant(Z=2.959,3.037,3.703,P<0.05).The satisfaction of clinical departments,medical technology departments and procurement center with the supply,distribution and information communication of in vitro diagnostic reagents in mode 2 were 97.8% and 93.3%,97.0% and 87.9%,100% and 84.6%,respectively,which were higher than those in mode 1,the difference was statistically significant(x2clinical departments=5.428,6.133,x2medical technology departments=3.958,3.937,x2procurement center=5.159,4.996,P<0.05).Conclusion:The zero inventory management model can improve the standardization of in vitro diagnostic reagent demand procurement,reduce the incidence of backlog failure in inventory management,and improve the quality of clinical supply services.
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Laparoscopic Roux-en-Y gastric bypass (LRYGB) has been proved to be a safe and effective treatment for Type 2 diabetes mellitus (T2DM) patients with body mass index (BMI) >27.5 kg/m
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Humanos , Masculino , Índice de Masa Corporal , China , Diabetes Mellitus Tipo 2/complicaciones , Derivación Gástrica , Laparoscopía , Recurrencia Local de Neoplasia , Resultado del TratamientoRESUMEN
Objective:To explore the effects of bariatric metabolic surgery on body composition.Methods:The retrospective cohort study was conducted. The clinicopathological data of 66 patients with metabolic diseases who were admitted to the Third Xiangya Hospital of Central South University from January 2013 to December 2014 were collected. There were 42 males and 24 females, aged (40±11)years, with a range from 17 to 63 years. Of the 66 patients, 27 undergoing laparoscopic sleeve gastrectomy (LSG) and 39 undergoing laparoscopic Roux-en-Y gastric bypass (LRYGB) were allocated into LSG group and LRYGB group, respectively. The body composition of all patients was determined by dual-energy X-ray absorptiometry at preoperation and postoperative 6 months. Observation indicators: (1) the changes of anthropometric parameters, glucolipid metabolism, body fat mass percentage (BF%) and the ratio of Android BF% and Gynoid BF% (A/G ratio) from preoperation to postoperative 6 months; (2) the changes of whole and local body composition from preoperation to postoperative 6 months; (3) analysis of the correlation between BF% and anthropometric parameters, glucolipid metabolism. (4) Follow-up. Follow-up was conducted using outpatient or hospitalization examination to detect the changes of body composition at the time of postoperative 6 month. The follow-up time was up to July 2015. Measurement data with normal distribution were represented as Mean± SD, paired-samples t test was used for intra-group comparison, and independent-samples t test when baseline data were consistency or covariance analysis when baseline data were not consistency was used for inter-group comparison. Measurement data with skewed distribution were represented as M ( P25, P75), and comparison between groups was analyzed using Wilcoxon signed rank test. The correlation test was undertaken with the Pearson bivariate analysis. Results:(1) The changes of anthropometric parameters, glucolipid metabolism, BF% and A/G ratio from preoperation to postoperative 6 months: for patients in the LSG group, the body mass, body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), diastolic blood pressure (DBP), systolic blood pressure (SBP), fasting plasma glucose (FPG), HbA1c, high density lipoprotein cholesterol (HDL-C), triglyceride (TG), whole BF%, arms BF%, legs BF%, trunk BF%, Android BF%, Gynoid BF% and A/G ratio at preoperation and postoperative 6 months were (102±17)kg, (37±5)kg/m 2, (118±14)cm, 1.01±0.06, (94±14)mmHg(1 mmHg=0.133 kPa), (137±15)mmHg, (8.1±4.2)mmol/L, 7.3%±2.4%, (1.11±0.26)mmol/L, 2.14 mmol/L(1.73 mmol/L, 2.59 mmol/L), 40%±6%, 46%±10%, 36%±8%, 42%±6%, 45%±6%, 37%±7%, 1.23±0.18 and (82±15)kg, (29±4)kg/m 2, (101±13)cm, 0.95±0.08, (76±10)mmHg, (118±16)mmHg, (7.2±1.2)mmol/L, 5.4%±0.8%, (1.26±0.32)mmol/L, 1.21 mmol/L(0.88 mmol/L, 1.55 mmol/L), 36%±8%, 41%±9%, 34%±10%, 38%±8%, 41%±8%, 35%±10%, 1.20±0.17, respectively. There was no significant difference in the intra-group comparison of the Gynoid BF% and A/G ratio ( t=1.903, 1.730, P>0.05) and there were significant differences in the intra-group comparison of the rest of above indicators ( t=12.748, 13.283, 9.013, 3.804, 6.031, 6.226, 2.393, 4.287, -2.900, 3.193, 2.932, 5.198, 2.167, 3.357, 3.116, P<0.05). For patients in the LRYGB group, the body mass, BMI, WC, WHR, DBP, SBP, FPG, HbA1c, HDL-C, TG, whole BF%, arms BF%, legs BF%, trunk BF%, Android BF%, Gynoid BF% and A/G ratio at preoperation and postoperative 6 months were (80±12)kg, (28±4)kg/m 2, (98±9)cm, 0.96±0.05, (85±10)mmHg, (134±17)mmHg, (8.6±2.8)mmol/L, 8.3%±1.7%, (1.13±0.26)mmol/L, 2.06 mmol/L(1.15 mmol/L, 3.30 mmol/L), 30%±8%, 29%±11%, 23%±9%, 37%±7%, 40%±7%, 29%±8%, 1.42±0.26 and (69±9)kg, (24±3)kg/m 2, (91±8)cm, 0.93±0.05, (80±9)mmHg, (129±18)mmHg, (7.4±1.8)mmol/L, 7.0%±1.5%, (1.18±0.29)mmol/L, 1.29 mmol/L(0.85 mmol/L, 2.02 mmol/L), 25%±8%, 23%±12%, 20%±9%, 29%±9%, 32%±10%, 25%±9%, 1.29±0.25, respectively. There was no significant difference in the intra-group comparison of the SBP and HDL-C ( t=1.733, -1.073, P>0.05) and there were significant differences in the intra-group comparison of the rest of above indicators ( t=10.525, 10.200, 7.129, 2.887, 2.805, 2.517, 3.699, 2.608, 7.997, 8.018, 6.029, 8.342, 8.069, 5.813, 6.391, P<0.05). There were significant differences in DBP, SBP, HbA1c, trunk BF%, Android BF% and A/G ratio at postoperative 6 months between LSG group and LRYGB group ( F=6.408, t=2.641, F=20.673, 5.140, 5.735, 4.714, P<0.05). (2) The changes of whole and local body composition from preoperation to postoperative 6 months: for patients in the LSG group, the whole fat mass, muscle mass, fat-free mass at preoperation and postoperative 6 months were (38.74±9.68)kg, (57.71±11.62)kg, (60.14±11.95)kg and (26.64±8.29)kg, (48.65±13.80)kg, (51.00±14.27)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=5.256, 5.413, 5.315, P<0.05); the arms fat mass, muscle mass, fat-free mass were (5.19±1.67)kg, (5.78±1.58)kg, (6.10±1.64)kg and (3.73±1.19)kg, (5.10±1.53)kg, (5.43±1.57)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=7.564, 5.405, 5.363, P<0.05); the legs muscle mass and fat-free mass were (19.05±4.19)kg, (19.93±4.35)kg and (15.93±4.71)kg, (16.81±4.87)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=5.623, 5.568, P<0.05); the trunk fat mass and fat-free mass were (21.93±4.90)kg, (29.7±5.94)kg and (14.69±4.79)kg, (24.78±7.02)kg respectively, showing significant differences in the intra-group comparison of the above indicators ( t=8.903, 5.421, P<0.05); the Android fat mass and fat-free mass were (4.16±1.19)kg, (5.01±1.12)kg and (2.57±0.90)kg, (3.83±1.20)kg respectively, showing significant differences in the intra-group comparison of the above indicators ( t=8.288, 7.637, P<0.05); the Gynoid fat mass and fat-free mass were (5.51±1.42)kg, (9.27±1.86)kg and (3.85±1.16)kg, (7.65±2.31)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=7.461, 5.672, P<0.05); the skeletal muscle index were (8.86±1.38)kg/m 2 and (7.49±1.71)kg/m 2, respectively, showing a significant differences in the intra-group comparison ( t=5.724, P<0.05). For patients in the LRYGB group, the whole fat mass, muscle mass, bone mineral content, fat-free mass at preoperation and postoperative 6 months were (23.58±7.80)kg, (51.76±8.35)kg, (2.55±0.48)kg, (54.31±8.63)kg and (16.88±6.86)kg, (49.41±7.70)kg, (2.47±0.50)kg, (51.88±8.05)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=9.001, 3.974, 4.354, 4.075, P<0.05); the arms fat mass were (2.72±2.37)kg and (1.73±1.02)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=3.470, P<0.05); the legs fat mass, muscle mass, fat-free mass were (5.21±2.46)kg, (16.68±3.50)kg, (17.60±3.66)kg and (4.01±2.12)kg, (15.63±2.90)kg, (16.54±3.05)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=6.592, 3.372, 3.319, P<0.05); the trunk fat mass were (14.87±4.11)kg and (10.38±4.00)kg, respectively, showing a significant difference in the intra-group comparison of the above indicators ( t=8.431, P<0.05); the Android fat mass and fat-free mass were (2.61±0.86)kg, (3.96±0.87)kg and (1.81±0.79)kg, (3.78±0.67)kg respectively, showing significant differences in the intra-group comparison of the above indicators ( t=8.032, 2.153, P<0.05); the Gynoid fat mass and fat-free mass were (3.14±1.17)kg, (7.89±1.58)kg and (2.44±0.96)kg, (7.43±1.26)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=6.112, 3.207, P<0.05); the skeletal muscle index were (8.04±1.22)kg/m 2 and (7.43±1.13)kg/m 2, respectively, showing significant differences in the intra-group comparison ( t=4.953, P<0.05). There were significant differences in whole muscle mass, whole fat-free mass, arms fat mass, legs muscle mass, legs fat-free mass, trunk fat-free mass, Android fat-free mass, Gynoid fat-free mass and skeletal muscle index at postoperative 6 months between LSG group and LRYGB group ( F=13.846, 13.614, 23.696, 7.100, 7.127, 15.243, 16.921, 8.625, 5.497, P<0.05). (3) Analysis of the correlation between BF% and anthropometric parameters, glucolipid metabolism: the whole BF% of 66 patients was positively correlated with body mass, BMI, WC and WHR ( r=0.405, 0.663, 0.625, 0.331, P<0.05); the arms BF% was positively correlated with body mass, BMI, WC and WHR ( r=0.432, 0.682, 0.639, 0.309, P<0.05); the legs BF% was positively correlated with body mass, BMI and WC ( r=0.366, 0.646, 0.564, P<0.05); the trunk BF% was positively correlated with body mass, BMI, WC and WHR ( r=0.332, 0.560, 0.554, 0.335, P<0.05); the Android BF% was positively correlated with body mass, BMI, WC and WHR ( r=0.327, 0.537, 0.543, 0.336, P<0.05); the Gynoid BF% was positively correlated with BMI and WC ( r=0.561, 0.488, P<0.05), and negatively correlated with FPG ( r=-0.491, P<0.05); the A/G ratio was negatively correlated with BMI ( r=-0.334, P<0.05), and positively correlated with FPG ( r=0.506, P<0.05); the skeletal muscle index was positively correlated with body mass, BMI, WC and WHR ( r=0.757, 0.641, 0.609, 0.519, P<0.05), and negatively correlated with HDL-C ( r=-0.369, P<0.05). (4) Follow-up: 66 patients were followed up at the time of postoperative 6 month. Conclusions:Both LSG and LRYGB significantly change body composition. LRYGB is superior to LSG in reducing trunk BF% and Android BF%. The effects of the two surgical methods on fat mass and bone mineral content are similar. LSG lead to a more significant decrease in whole muscle mass, and LRYGB lead to a more significant decrease in legs muscle mass and skeletal muscle index.
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Objective To investigate the effect of laparoscopic Roux-en-Y gastric bypass(LYGB) on body fat distribution,and relationship between the changes of body fat distribution and improvement of insulin resistance.Methods A total of 65 patients with type 2 diabetes who underwent LYGB were selected for a retrospective analysis.Metabolic parameters,anthropometric measurements,body composition and fat distribution measured by dual-energy X-ray absorptiometry (DEXA) were collected separately before and 6 months post LYGB.All data of pre-and postoperation were compared with pair t test,Pearson correlation analysis was used to evaluate correlation of two variables.Results Weight,body mass index,waist circumference,waist-to-hip ratio,triglyceride,fasting plasma glucose,fasting insulin and homeostatic model assessment for insulin resistance (HOMA-IR) were significantly decreased in 6 months after surgery (P < 0.05).Total fat mass,body fat mass of trunk,upper and lower limbs decreased significantly (P <0.05).Percent fat mass at the whole body,Android region,upper and lower limbs decreased significantly (P <0.05).After 6 months postoperatively,abdominal obesity indices waist circumfernce decreased from (98.10±13.03) cm to (91.60±7.68) cm (P<0.01) and percent fat mass at the Android region decreased from (35.71 ±10.24)% to (29.44 ± 12.11) % (P<0.05),HOMA-IR decreased from 3.62 ± 5.18 to 1.79 ± 1.52 (P < 0.05).The improvement of postoperative insulin resistance is positively correlated with the changes in waist circumference (P <0.01) and percent fat mass of Android region (P <0.05).Conclusions The body fat distribution changes after LYGB,change of abdominal fat distribution is positively correlated to the improvement of insulin resistance.
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Objective@#To compare the diagnostic efficacy of transient elastography (TE) FibroScan and acoustic radiation force impulse imaging (ARFI) combined with serological models including aspartate aminotransferase-to-platelet ratio (APRI) and fibrosis-4 (FIB-4) in hepatitis B virus-related fibrosis.@*Methods@#Sixty-seven patients with chronic HBV infection from October 2014 to May 2017 in Department of Infectious Diseases, Putuo Hospital were enrolled. Both FibroScan and ARFI were conducted in all patients together with serological tests. According to the golden standard of pathology results, the diagnosis values of FibroScan, ARFI combined with APRI or FIB-4 were compared as noninvasive assessment for liver fibrosis. Data with homogeneity of variance were tested by t test, and data with heterogeneity of variance were tested by Mann-Whitney U test.@*Results@#Based on the pathology results, the receiver operating characteristic (ROC) areas under the curve (AUC) of APRI, FIB-4, FibroScan and ARFI in diagnosis of hepatic fibrosis ≥S2 were 0.752, 0.612, 0.885, and 0.850, respectively. The AUC of ROC curve in diagnosis of hepatic fibrosis ≥S3 were 0.746, 0.733, 0.851, and 0.863, respectively. The AUC of ROC curve in diagnosis of hepatic fibrosis ≥S4 were 0.782, 0.705, 0.962 and 0.981, respectively. Combined liver imaging technique and serological tests, such as APRI with FibroScan, APRI with ARFI, FIB-4 with FibroScan or FIB-4 with ARFI, the AUC of ROC curve in the 4 groups in diagnosis of hepatic fibrosis ≥S2 were 0.887, 0.861, 0.893, and 0.853, respectively; in the diagnosis of hepatic fibrosis ≥S3 were 0.873, 0.871, 0.900, and 0.875, respectively; and in diagnosis of hepatic fibrosis ≥S4 were 0.952, 0.981, 0.969, and 0.981, respectively. FibroScan and ARFI were positively correlated with liver inflammation (r=0.467, P=0.000; r=0.371, P=0.002) and jaundice (r=0.424, P=0.000; r=0.0.312, P=0.01), while negatively correlated with platelet (r=-0.331, P=0.006; r=-0.312, P=0.01). The AUC of ROC curve of FibroScan, ARFI and their combination with serological model were significantly increased compared with the single serological model (all P<0.05).@*Conclusions@#Serological models such as APRI and FIB-4 as well as liver imaging techniques such as FibroScan and ARFI are all valuable in assessment of hepatic fibrosis, while FibroScan and ARFI have better diagnostic value. ARFI is convenient to application for its integration with the ordinary ultrasound system. The sensitivity and specificity for diagnosis of hepatic fibrosis could be improved by combining serological model with FibroScan or ARFI. Combination of APRI and ARFI show the highest accuracy in diagnosis of hepatic fibrosis. Combination of serological models and transient elastic liver imaging is recommended for assessment and follow-up of HBV-related fibrosis.
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Vitamin D plays an important role in cellular differentiation and Calcium phosphate metabolism.At the same time,the role of Vitamin D in glycolipid metabolism had attracted a lot of attention.Bariatric surgery is an effective treatment to achieve therapeutic endpoints for comorbidities associated with obesity,but vitamin D status is always insufficient before and after surgery.In this review,the author aim to (1) discuss the deficiency of vitamin D in bariatric patients,(2) to summarize the impact of vitamin D on glycolipid metabolism and the outcome of bariatric surgery,(3) to discuss the supplementation for the deficiency of vitamin D.
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Objective To investigate the molecular epidemiology and antimicrobial resistance status of uropathogenic Escherichia coli (UPEC) in senior population in Putuo District ,Shanghai .Methods A total of 72 UPEC strains were isolated from elderly inpatients with urinary tract infections in Putuo Hospital ,Shanghai University of Traditional Chinese Medicine from January 2013 to March 2015 .The strains were characterized by multi‐locus sequence typing (MLST ) .The β‐lactamase gene and the plasmid mediated quinolone resistance (PMQR) gene were detected ,and the mutations of quinolone resistance‐determining regions (QRDR) in gyrA and parC genes were demonstrated .In vitro drug susceptibility test was performed .Continuous variables were compared using t test and categorical variables were compared using chi‐squared test or Fisher exact test .Results The UPEC strains showed different resistance rates to ciprofloxacin ,cefotaxime and trimethoprim‐sulfamethoxazole ,which were 76 .4% ,73 .6% and 65 .3% , respectively .UPEC still remained highly sensitive to imipenem ,meropenem ,amikacin and piperacillin‐tazobactam .Among 72 isolates ,55 (76 .4% ) of 49 (68 .1% ) extended‐spectrum β‐lactamase (ESBL )‐positive strains harbored blaCTX‐M genes .Among the 55 ciprofloxacin resistant strains ,51 (92 .7% ) had three or four mutations in QRDR of gyrA and parC genes .The “hot‐spot” mutations of QRDR were located at amino acid position 83 and 87 in gyrA gene and at positions 80 and 84 in parC gene .Forward analysis by MLST showed that the most frequent sequence types (ST ) were ST131 (18/72 ,25 .0% ) , ST1193(7/72 ,9 .7% ) ,ST405 (7/72 ,9 .7% ) ,ST38 (5/72 ,6 .9% ) and ST648 (3/72 ,4 .2% ) .ST131 isolates were predominant in ST which caused community‐onset urinary tract infections .Multiple drug‐resistance were detected in ST 131 ,ST405 ,ST38 and ST648 which were mainly producing blaCTX‐M ESBL .Conclusions Community‐acquired multiple drug‐resistant UPEC strains such as ST131 clone are prevalent in elderly patients .Thus ,monitoring of molecular epidemiology would be beneficial to prevent the prevalence of multiple drug‐resistant UPEC .
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The interaction between medical instrument and target tissue during the surgery occurs in instrument-tissue interface. The reliability research on the interface is directly related to the safety and effectiveness of medical instrument in the clinical application. This paper illustrates the necessity of reliability research on instrument-tissue interface. Two main contents are synthetically reviewed the present paper: (1) reliability research on medical instruments; (2) biological tissue properties and its mechanical response.
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Humanos , Reproducibilidad de los Resultados , Instrumentos Quirúrgicos , Procedimientos Quirúrgicos OperativosRESUMEN
Type 2 diabetes mellitus (T2DM) usually becomes complicated and unmanageable when combing with metabolic syndromes of obesity,hypertension and hyperlipidemia.Medical treatment generally adopts non-surgical management,such as diet control,exercise and oral medications; surgical treatment can improve the condition of patients with T2DM and the metabolic syndromes.In this article,the multi-disciplinary treatment of a patient with T2DM and obesity in the Third Xiangya Hospital of Central South University was analyzed,so as to provide a new way for the treatment of this disease.
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Objective To study sex differences,in common risk factors,subtypes and outcomes in stroke.Methods 2912 patients hospitalized for stroke were evaluated for common risk factors,subtypes and outcomes data.Results Mean age was higher in women than in men(P
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Objective To study the pathogenesis of nonalcoholic steatohepatitis(NASH) in rat model. Methods Male SD rats were fed with a high fat diet for 12 weeks. Non alcoholic ateatohepatitis serum lipid, aminotransferase values and free fatty acid (FFA) levels were tested, the malondialdehyde (MDA) and superoxide dismutase (SOD) activity of hepatic tissue were also detected. Hepatic cytochrome P450ⅡE 1 (CYPⅡE 1) were detected in liver section by immunohistochemistry using CYPⅡE 1 specific antibodies and also with an immunohistochemical procedure for detecting the number of Kupffer cells. Results FFA concentrations of the serum and hepatic tissue were markedly increased, which was accompanied by an increase of MDA in hepatic tissue, whereas SOD activity of hepatic tissue was decreased. CYPⅡE 1 immunostaining was markedly increased, especially in the perivenous region. The number of Kupffer cells in NASH was significantly increased compared with control livers. Correlation analysis revealed that the increases in the levels of FFA correlated positively with the hepatic CYPⅡE 1 expression, the lipid peroxidation, and the pathological scores in the liver of NASH rats. Conclusion The increased FFA, highly expressed CYPⅡE 1, activated kupffer cells and increased lipid oxidate were all contributed to NASH.