METHODS: We analysed plasma and urine samples of 50 stable CAD patients and 50 healthy controls using 1H NMR. Orthogonal partial least square discriminant analysis (OPLS-DA) followed by multivariate logistic regression (MVLR) models were developed to indicate the discriminating metabotypes. Metabolic pathway analysis was performed to identify the implicated pathways.
RESULTS: Both plasma and urine OPLS-DA models had specificity, sensitivity and accuracy of 100%, 96% and 98%, respectively. Plasma MVLR model had specificity, sensitivity, accuracy and AUROC of 92%, 86%, 89% and 0.96, respectively. The MVLR model of urine had specificity, sensitivity, accuracy and AUROC of 90%, 80%, 85% and 0.92, respectively. 35 and 12 metabolites were identified in plasma and urine metabotypes, respectively. Metabolic pathway analysis revealed that urea cycle, aminoacyl-tRNA biosynthesis and synthesis and degradation of ketone bodies pathways were significantly disturbed in plasma, while methylhistidine metabolism and galactose metabolism pathways were significantly disturbed in urine. The enrichment over representation analysis against SNPs-associated-metabolite sets library revealed that 85 SNPs were significantly enriched in plasma metabotype.
CONCLUSIONS: Cardiometabolic diseases, dysbiotic gut-microbiota and genetic variabilities are largely implicated in the pathogenesis of CAD.
METHODS: A quasi-experimental multiple time series was conducted starting in September 2017 and ending in June 2018. 140 nurses were sampled using the proportionate stratified random sampling technique; 132 were completed the study 67 the intervention group, while 65 in the control group.
RESULTS: There were no significant differences in nurses' job performance or commitment between the 2 groups (control and intervention). A repeated measure MANOVA test for both groups revealed that the interaction between group and time was statistically significant (F (4, 127) = 144.841; P = .001; Wilk's Λ = 0.180; η2 = .820), indicating that groups had a significantly different pattern of job performance and commitment over time. A repeated test The MANCOVA test for both groups across time revealed significant differences in nurses' job performance and nurses' commitment at a less than 0.05 significance level (F (2127) = 320.724; P = .001; Wilk's Λ = 0.165; η2 = 0.835), and the overall effect of time was significant for all dependent variables (F (4125) = 36.879; P = .001; Wilk's Λ = 0.459; η2 = 0.541).
CONCLUSION: The educational intervention was effective in improving nursing job performance among the study sample. The improved commitment of respondents in the intervention group was attributed to the improvement in job performance.
Methods: All patients admitted into our centre were screened for eligibility and those who underwent surgery from September 2016 to September 2017 had a D-dimer screening after surgery, followed by an ultrasound Doppler if the former was positive. The choice of anticoagulant therapy was not influenced by this study, and observation of the use was in keeping with usual practices in our centre was done.
Results: A total number of 331 patients were recruited in this study, however, after the inclusion and exclusion criteria had been met, 320 patients remained eligible, i.e. suitable for analysis. The mean age of our patients was 46 years, with 66% being male patients. A majority of the cases in this study were cranial related, with only 5% being spine surgeries. On the multivariate analysis, the Well's score and the number of days in bed remained statistically significant, after adjusting for age group, gender, ethnicity, type of central venous access and type of DVT prophylaxis with an adjusted odd's ratio, and a confidence interval of 95%, and P < 0.05 for each.
Conclusion: Well's scoring and number of days in bed were independent factors affecting the rate of DVT in patients undergoing neurosurgical procedures in our centre.
Method: A retrospective review case records of patients who had undergone external ventricular drainage (EVD) for suspected meningitic hydropcephalus in Hospital Sultanah Aminah Johor Bahru (HSAJB), Johor, Malaysia.
Results: Fifty-one cases were analysed. Mean age of patients was 37.27 years old, with 64.7% of them was male. Univariate analysis revealed that the main parameters to determine CSF sterility were CSF glucose (95% CI, 0.852, 10.290, P = 0.001), CSF protein (CI 95%, 0.722, 14.898, P < 0.001), CSF gram stain (95% CI, 16.437, 0.877, P < 0.001 ) and CSF appearance ( 0.611, 6.362, P = 0.012). Multivariate analysis had proven that gram stain was the main parameter in the CSF analysis (CI 95%, 16.437, 0.029, P = 0.016). No significant differences in CSF results were observed from EVD and lumbar puncture.
Conclusion: The most significant parameter in CSF to determine infection was gram stain.