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Objective:To compare the value of Caprini, Padua and Autar risk assessment models in the risk assessment of venous thromboembolism in hospitalized stroke patients.Methods:A retrospective case-control study were used to collect hospitalized stroke patients in the neurology department of Xiangya Hospital from January 1, 2018 to June 30, 2020. 75 patients with venous thromboembolism (VTE) were VTE group and 75 patients without VTE were control group. The risk of thrombosis was assessed by Caprini risk assessment model, Padua risk assessment model and Autar risk assessment model respectively. The predictive value of each model on the risk of VTE formation in stroke patients was analyzed by receiver operating characteristic (ROC) curve and area under the curve (AUC).Results:The areas under the curve of Caprini, Padua and Autar risk assessment models for predicting the risk of VTE formation in stroke patients were 0.768±0.039, 0.746±0.040 and 0.710±0.042 respectively. The sensitivity, specificity and accuracy were 81.3%, 61.3%, 71.3%(Caprini), 72.0%, 72.0%, 72.0%(Padua), 66.7%, 68.0% and 67.3%(Autar) respectively. There was no significant difference in the prediction value of the three models on the formation risk of stroke VTE (all P>0.05). The technique for order preference by similarity to ideal solution (TOPSIS) method was used to comprehensively evaluate the AUC, sensitivity, specificity and accuracy of the three risk assessment models. Padua risk assessment model was the best, followed by Caprini risk assessment model and Autar risk assessment model. Conclusions:The Caprini, Padua, and Autar risk assessment scales can well predict the risk of VTE in stroke patients. The Caprini scale has the highest sensitivity and the Padua scale has the highest specificity. There is no significant difference in the predictive value of the three scales. Comprehensive evaluation of predictive value: Padua risk assessment scale is the best.
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Purpose@#This study explored the direct and indirect effects of risk factors of work-related musculoskeletal disorders (WRMDs) in nurses working in intensive care units (ICUs). @*Methods@#A cross-sectional study design was used. ICU nurses from 28 tertiary hospitals in the Hunan and Guangdong provinces participated in a survey conducted via a self-reported online questionnaire. A structural equation model was used to fit the data and to evaluate associations among WRMDs and risk factors. @*Results@#Valid questionnaire samples were submitted by 984 ICU nurses. The prevalence of WRMDs within the previous year among ICU nurses was 96.8%. A valid structural equation model was constructed, and a good fit was shown: Chi-square value/degrees of freedom = 2.248; comparative fit index = .931; normal fit index = .905; goodness-of-fit index = .978; adjusted goodness-of-fit index = .966; and root mean square error of approximation = .036. All regression coefficients for direct effect reached significant levels (critical ratio > 1.96 and p < .05). In the structural equation model, the occurrence of WRMDs was directly affected by the following: physical factors, risk perception, and job stress. Physical factors and a safe environment indirectly affected WRMDs through risk perception and job stress. The strongest correlations with WRMDs were physical factors. @*Conclusion@#The model provided a new perspective for understanding the associations among physical factors, workplace safety environment, risk perception, job stress, and WRMDs. To improve the practice setting of the ICU, efforts should be made to help prevent WRMDs from physical, psychosocial, and environmental factors.
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Purpose@#This study explored the direct and indirect effects of risk factors of work-related musculoskeletal disorders (WRMDs) in nurses working in intensive care units (ICUs). @*Methods@#A cross-sectional study design was used. ICU nurses from 28 tertiary hospitals in the Hunan and Guangdong provinces participated in a survey conducted via a self-reported online questionnaire. A structural equation model was used to fit the data and to evaluate associations among WRMDs and risk factors. @*Results@#Valid questionnaire samples were submitted by 984 ICU nurses. The prevalence of WRMDs within the previous year among ICU nurses was 96.8%. A valid structural equation model was constructed, and a good fit was shown: Chi-square value/degrees of freedom = 2.248; comparative fit index = .931; normal fit index = .905; goodness-of-fit index = .978; adjusted goodness-of-fit index = .966; and root mean square error of approximation = .036. All regression coefficients for direct effect reached significant levels (critical ratio > 1.96 and p < .05). In the structural equation model, the occurrence of WRMDs was directly affected by the following: physical factors, risk perception, and job stress. Physical factors and a safe environment indirectly affected WRMDs through risk perception and job stress. The strongest correlations with WRMDs were physical factors. @*Conclusion@#The model provided a new perspective for understanding the associations among physical factors, workplace safety environment, risk perception, job stress, and WRMDs. To improve the practice setting of the ICU, efforts should be made to help prevent WRMDs from physical, psychosocial, and environmental factors.
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We employed a multiplex polymerase chain reaction (PCR) coupled with capillary electrophoresis (mPCR-CE) targeting six Clostridium difficile genes, including tpi, tcdA, tcdB, cdtA, cdtB, and a deletion in tcdC for simultaneous detection and characterization of toxigenic C. difficile directly from fecal specimens. The mPCR-CE had a limit of detection of 10 colony-forming units per reaction with no cross-reactions with other related bacterial genes. Clinical validation was performed on 354 consecutively collected stool specimens from patients with suspected C. difficile infection and 45 isolates. The results were compared with a reference standard combined with BD MAX Cdiff, real-time cell analysis assay (RTCA), and mPCR-CE. The toxigenic C. difficile species were detected in 36 isolates and 45 stool specimens by the mPCR-CE, which provided a positive rate of 20.3% (81/399). The mPCR-CE had a specificity of 97.2% and a sensitivity of 96.0%, which was higher than RTCA (x = 5.67, P = 0.017) but lower than BD MAX Cdiff (P = 0.245). Among the 45 strains, 44 (97.8%) were determined as nonribotype 027 by the mPCR-CE, which was fully agreed with PCR ribotyping. Even though ribotypes 017 (n = 8, 17.8%), 001 (n = 6, 13.3%), and 012 (n = 7, 15.6%) were predominant in this region, ribotype 027 was an important genotype monitored routinely. The mPCR-CE provided an alternative diagnosis tool for the simultaneous detection of toxigenic C. difficile in stool and potentially differentiated between RT027 and non-RT027.
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Humans , Clostridium Infections , Diagnosis , Clostridioides difficile , Genetics , Electrophoresis, Capillary , Feces , Microbiology , Genes, Bacterial , Polymerase Chain Reaction , Ribotyping , Sensitivity and SpecificityABSTRACT
Objective In comparison with Xpert C.difficile/Epi through detection of Clostridium difficile toxin genes from clinical stool , the performance of a laboratory-developed ( LD) assay was evaluated in detail.Methods A total of 176 stool specimens collected from patients with diarrhea in the First People′s Hospital of Yuhang District and the People′s Hospital of Yingzhou , Ningbo from August 1 to December 30 were detected by the two assays in parallel , and meanwhile the C.difficile strains will be isolated and identified for C.difficile toxin genes by a conventional PCR assay .The Cross-tabs Analysis was used for the results by using SPSS20.0 software.Results In comparison with the results of Xpert C.difficile/Epi as the standard, the LD assay had a sensitivity of 91.7％(22/24), a specificity of 100％(152/152), a positive predictive value (PPV) of 100％(22/22), and negative predictive value (NPV) 98.7％(152/154).The results of two assays were statistically coherent (Kappa=0.950, P<0.001).In comparison with culture and detection of toxin genes results , the LD assay had a sensitivity of 90.0％ ( 18/20 ) , a specificity of 97.0％(152/156), a PPV of 81.8％ (18/22), and NPV of 98.7％ (152/154)(Kappa=0.838, P<0.001), and the Xpert C.difficile/Epi assay had a sensitivity of 90.0％ (18/20), a specificity of 96.0％(150/156), a PPV of 75.0％(18/24), and NPV of 98.7％ (150/152)(Kappa=0.792, P<0.001). Conclusions The performance of the LD assay was similar to that of the Xpert C .difficile/Epi kit in detection of toxigenic C.difficile.The LD assay could be directly applied to detection of toxigenic C.difficile from clinical stool samples .The clinical application of this LD assay will also provide a domestic and promising diagnostic assay for diagnosis of C.difficile infection in China.
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Objective In comparison of the performances for the detection of Clostridium difficile toxin B genes from stool between BD MAX Cdiff assay and a laboratory-developed (LD) assay.The LD assay was evaluated in clinical application.Methods This study was a clinical application research.A total of 147 stool specimens from patients with diarrhea in Hangzhou First Hospital affiliated with Zhejiang Chinese Medical University were detected by the two assays from 1 July to 30 September 2014.DNA extraction and amplification of the tcdB gene were performed automatically on the BD MAX platform.Meanwhile, the tcdA and tcdB gene were detected by the LD real-time PCR assay after DNA extraction.Then, the results were analyzed by use of SPSS 10.0.Results A total of 147 stool samples were collected.There were 33 C.difficile positive cases and 114 negative cases detected by both of two assays.However, there were four stool samples had incongruent results.In comparison with BD MAX, the LD assay had a sensitivity of 93.94% (31/33), a specificity of 98.25% (112/114), a positive predictive value of 93.94% (31/33), and negative predictive value 98.25% (112/114).Furthermore, the results of the LD assay were statistically coherent with that of the BD assay (Kappa=0.922, P<0.01).Conclusions The LD assay was highly sensitive and accurate as BD MAX Cdiff assay in the detection of toxigenic Clostridium difficile.Furthermore, this LD assay could be also applied to detection of clinical stool samples directly with low cost.The assay will be more promising in diagnosis of toxigenic C.difficile in clinical application in China due to no additional instrument needed.