69 research outputs found
Association of heart rate recovery with microalbuminuria in non-obstructive coronary artery disease
Background: Non-obstructive coronary artery disease (CAD) is associated with significantly increased risk for myocardial infarction. Heart rate recovery (HRR), a measure of autonomic function, is a strong predictor of all-cause mortality. Microalbuminuria, a marker of early arterial disease, is an independent risk factor for cardiovascular disease and mortality. We aimed to investigate HRR and determine its relationship with microalbuminuria in patients with non-obstructive CAD.Methods: We prospectively studied 565 patients who underwent elective coronary angiography. All participants underwent urinary analysis and then an exercise test. Microalbuminuria was defined as an urinary albumin-to-creatinine ratio (UACR) of 30 -299 mg/g. The HRR was abnormal if 12 beats/min, n = 439).Results: Patients with microalbuminuria had lower HRR and patients with lower HRR had higher UACR. While UACR was negatively correlated with HRR in patients with microalbuminuria (r = -0.424; P < 0.001) and in patients with lower HRR (r = -0.192; P = 0.042), there was no correlation of UACR with HRR in neither patients with normoalbuminuria nor patients with higher HRR, respectively. In the all study population, there was a significant inverse association between UACR and HRR (r = -0.445, P < 0.001), and UACR independently predicted the presence of lower HRR (P < 0.001).Conclusions: Our findings showed that there was a significant inverse association between UACR and HRR in patients especially with microalbuminuria, and that albuminuria might predict cardiac autonomic imbalance evaluated by HRR in patients with non-obstructive CAD
The efficiency of US elastography in the differential diagnosis of thyroid nodules
Aim: To evaluate the efficiency of ultrasound elastography (USE) in the differential diagnosis of thyroid nodules. Methods: One hundred thyroid nodules in 100 patients (79 females, 21 males, age range 18-78; mean age = 45.6 years) were evaluated with real-time freehand USE, using Hitachi EUB 7500 equipment and elasticity scores were obtained. The elasticity was scored as follows: Score 1, elasticity in the entire nodule; Score 2, mainly elastic nodule with the presence of inelastic areas not constant during real time examination; Score 3, constant inelastic areas prevalently arranged at the periphery of the nodule; Score 4, constant inelastic areas prevalently arranged at the center of the nodule; Score 5, no elasticity in the nodule. Also mean strain ratio values were calculated for all nodules. Results: Eighty-four (86%) of cases were benign and sixteen (16%) were malignant. Elasticity score 3 and higher and strain ratio higher than 2.485 had statistically significant relation with malignancy (p < 0.05). Conclusions: USE including strain ratio calculations besides subjective evaluation of elasticity scores is an efficient imaging method which may contribute to the differential diagnosis of thyroid nodules
Pattern and predictors of maternal care-seeking practices for severe neonatal jaundice in Nigeria: a multi-centre survey
Performance evaluation of series and parallel strategies for financial time series forecasting
PROPER: global protein interaction network alignment through percolation matching
Background The alignment of protein-protein interaction (PPI) networks enables us to uncover the relationships between different species, which leads to a deeper understanding of biological systems. Network alignment can be used to transfer biological knowledge between species. Although different PI-network alignment algorithms were introduced during the last decade, developing an accurate and scalable algorithm that can find alignments with high biological and structural similarities among PPI networks is still challenging. Results In this paper, we introduce a new global network alignment algorithm for PPI networks called PROPER. Compared to other global network alignment methods, our algorithm shows higher accuracy and speed over real PPI datasets and synthetic networks. We show that the PROPER algorithm can detect large portions of conserved biological pathways between species. Also, using a simple parsimonious evolutionary model, we explain why PROPER performs well based on several different comparison criteria. Conclusions We highlight that PROPER has high potential in further applications such as detecting biological pathways, finding protein complexes and PPI prediction. The PROPER algorithm is available at http://proper.epfl.ch
Maternal satisfaction with a novel filtered-sunlight phototherapy for newborn jaundice in Southwest Nigeria
Intuitionistic Fuzzy Time Series Functions Approach for Time Series Forecasting
Fuzzy inference systems have been commonly used for time series forecasting in the literature. Adaptive network fuzzy inference system, fuzzy time series approaches and fuzzy regression functions approaches are popular among fuzzy inference systems. In recent years, intuitionistic fuzzy sets have been preferred in the fuzzy modeling and new fuzzy inference systems have been proposed based on intuitionistic fuzzy sets. In this paper, a new intuitionistic fuzzy regression functions approach is proposed based on intuitionistic fuzzy sets for forecasting purpose. This new inference system is called an intuitionistic fuzzy time series functions approach. The contribution of the paper is proposing a new intuitionistic fuzzy inference system. To evaluate the performance of intuitionistic fuzzy time series functions, twenty-three real-world time series data sets are analyzed. The results obtained from the intuitionistic fuzzy time series functions approach are compared with some other methods according to a root mean square error and mean absolute percentage error criteria. The proposed method has superior forecasting performance among all methods
Association of Heart Rate Recovery With Microalbuminuria in Non-Obstructive Coronary Artery Disease.
BACKGROUND: Non-obstructive coronary artery disease (CAD) is associated with significantly increased risk for myocardial infarction. Heart rate recovery (HRR), a measure of autonomic function, is a strong predictor of all-cause mortality. Microalbuminuria, a marker of early arterial disease, is an independent risk factor for cardiovascular disease and mortality. We aimed to investigate HRR and determine its relationship with microalbuminuria in patients with non-obstructive CAD. METHODS: We prospectively studied 565 patients who underwent elective coronary angiography. All participants underwent urinary analysis and then an exercise test. Microalbuminuria was defined as an urinary albumin-to-creatinine ratio (UACR) of 30 - 299 mg/g. The HRR was abnormal if ≤ 12 beats/min during the first minute after exercise. First, all patients were divided into two groups, patients with microalbuminuria (n = 152) and patients without microalbuminuria (n = 413). Then, all patients were re-divided into two groups, those with lower HRR (≤ 12 beats/min, n = 126) and those with higher HRR (> 12 beats/min, n = 439). RESULTS: Patients with microalbuminuria had lower HRR and patients with lower HRR had higher UACR. While UACR was negatively correlated with HRR in patients with microalbuminuria (r = -0.424; P < 0.001) and in patients with lower HRR (r = -0.192; P= 0.042), there was no correlation of UACR with HRR in neither patients with normoalbuminuria nor patients with higher HRR, respectively. In the all study population, there was a significant inverse association between UACR and HRR (r = -0.445, P < 0.001), and UACR independently predicted the presence of lower HRR (P < 0.001). CONCLUSIONS: Our findings showed that there was a significant inverse association between UACR and HRR in patients especially with microalbuminuria, and that albuminuria might predict cardiac autonomic imbalance evaluated by HRR in patients with non-obstructive CAD
Retention of luting agents used for implant-supported restorations: A comparative In-Vitro study
WOS: 000565286100008PubMed: 32788484Aims: the aim of this study was to compare the retention of different luting agents used with implant-supported restorations. Materials and Methods: A total of 90 custom metal frameworks and copings were prepared and divided into six different luting agent groups (n = 15/group): polycarboxylate cement (PC), resin-modified glass-ionomer cement (RMGIC), two self-adhesive resin cements (SARC), copper-ion zinc-phosphate cement (CZPC), and non-eugenol temporary resin cement (TRC). After sandblasting with 50 mu m Al2O3, the copings were cemented on frameworks and stored in artificial saliva for 48 h at 37 degrees C and thermocycled between 5-55 degrees C for 37,500 cycles. Samples were subjected to tensile testing by a universal testing machine, and data were statistically analyzed. Results: the differences between the retention values of types of cement were significant (P < 0.05). the maximum retention value was calculated for CZPC (755,12 +/- 55 MPa) while the lowest value was for TRC (311,7 +/- 61 Mpa). Conclusion: Neither of the tested cement had superiority over another to ensuring retention. the types of cement presented were meant to be a discretionary guide for the clinician in deciding the amount of the desired retention between castings and abutments
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