Selvester score and myocardial performance index in acute anterior myocardial infarction

BACKGROUND: The simplified Selvester QRS score is a parameter for estimating myocardial damage in ST-elevation myocardial infarction. ST-elevation myocardial infarction leads to varying degrees of impairment in left ventricular systolic and diastolic function. Myocardial performance index is a single parameter that can predict combined left ventricular systolic and diastolic performance. OBJECTIVE: We investigated the relationship between Selvester score and myocardial performance index in patients undergoing primary percutaneous coronary intervention for acute anterior myocardial infarction. METHODS: The study included 58 patients who underwent primary percutaneous coronary intervention for acute anterior myocardial infarction. Selvester score of all patients was also calculated at 72 h. Patients were categorized into two groups according to the Selvester score. Those with a score = 6 (high score) were considered group 2. RESULTS: When compared with group 1, patients in group 2 were older (p=0.01) and had lower left ventricular ejection fractions (50.3 +/- 4 vs. 35.6 +/- 6.9, p=0.001), and conventional myocardial performance index (0.52 +/- 0.06 vs. 0.69 +/- 0.08, p=0.001), lateral tissue Doppler-derived myocardial performance index (0.57 +/- 0.08 vs. 0.72 +/- 0.08, p=0.001), and septal tissue Doppler-derived myocardial performance index (0.62 +/- 0.07 vs. 0.76 +/- 0.08, p=0.001) were higher. There was a high correlation between lateral tissue Doppler-derived myocardial performance index and conventional myocardial performance index and Selvester score (r=0.80, p<0.001; r=0.86, p<0.001, respectively) and a moderate correlation between septal tissue Doppler -derived myocardial performance index and Selvester score (r=0.67, p<0.001). CONCLUSIONS: The post-procedural Selvester score can predict lateral tissue Doppler-derived myocardial performance index and conventional myocardial performance index with high sensitivity and acceptable specificity in patients undergoing primary percutaneous coronary intervention for acute anterior myocardial infarction

Determination of Energy Use and Greenhouse Gas Emission in Individual Deep Well Irrigation Enterprise

This study was conducted to determine the annual energy use and related greenhouse gas (GHG) emissions of individual deep well irrigation enterprise. That study was conducted at deep well farm belonging to one farmer with volunteer preforming farming activities in Konya-Meram-Çarıklar location for the growing season of 2021. In that regard, the activities using alfalfa and dry bean production, and total production inputs with their amounts as well as crop yields were determined separately. By considering unit energy equivalent values and GHG emission factors of each input, annual energy consumption and GHG emission values were calculated. Similarly, by examining energy content and crop yield in accordance of crop production unit (kg), annual produced energy amount was calculated. The evaluation was made using energy used and energy produced as well as GHG emission values indicators at individual deep well irrigation farm. According to the results obtained, annual energy use and energy production were calculated 253035 mega-joule (MJ), and 487960 MJ, respectively for individual well irrigation farm. The electricity used during the irrigation processes resulted around 71% of annual energy consumption. The annual GHG emission amount as an equivalent to the carbon dioxide (CO2eqv) for research farm with GWI was determined as 18575 kg (18575 kgCO2eqv year-1). Almost 52% of annual GHG emission was resulted from electricity used in irrigation

On-Line Global Energy Optimization in Multi-Core Systems Using Principles of Analog Computation

This work presents the design and the silicon implementation of an on-line energy optimizer unit based on novel analog computation approaches, which is capable of dynamically adjusting power supply voltages and operating frequencies of multiple processing elements on-chip. The optimized voltage/frequency assignments are tailored to the instantaneous workload information on multiple tasks and fully adaptive to variations in process and temperature. The optimizer unit has a response time of less than 50 us, occupies a silicon area of 0.021 sqmm and dissipates 2 mW/task

A 1.8V 12-bit 230-MS/s pipeline ADC in 0.18um CMOS technology

This paper describes the implementation of a 12-bit 230 MS/s pipelined ADC using a conventional 1.8V, 0.18μm digital CMOS process. Two-stage folded cascode OTA topology is used for improved settling performance. Extreme low-skew (less than 3ps peak-to-peak) chip-level clock distribution is ensured by five-level balanced clock tree, implemented in low swing current-mode logic. The ADC block achieves a peak SFDR of 71.3 dB and 9.26 ENOB at 230 MS/s, with an input signal swing of 1.5Vpp. The measured peak SFDR at 200 MS/s is 78 dB, while the peak SNDR at 200 MS/s is 59.5 dB. The SFDR and SNDR performance exhibits very flat characteristics, maintaining higher than 53 dB SNDR at 230 MS/s and higher than 58 dB SNDR at 200 MS/s, from DC through Nyquist rate input frequencies

Recurrent Intestinal Intussuseption in Adult: A Case Report

Intussusseption is an usually incident that may present in pediatric patients but we encounter rarely in adults. It leads to obstruction of the gastrointestinal tract. In pediatric patients, etiological factors are due to benign incidents usually, but in adults, often depends on tumors. Etiological factors should be investigated after obtaining the reduction of intussusception and intraluminal pathologies should be excluded. It will cause to intussusseption recurrence after years if reduction perform without treating etiological factors

Chemerin as a marker of subclinical cardiac involvement in psoriatic patients

Background: Chemerin has been associated with psoriasis and inflammation, but there are no studies demonstrating an association between chemerin and subclinical cardiac involvement in psoriatic patients. Therefore, the present study aimed to evaluate whether psoriatic patients with increased epicardial fat tissue, impaired flow-mediated dilatation, and diastolic dysfunction have higher serum chemerin levels than a healthy control group. Methods: The study included 60 psoriatic patients and 32 healthy controls. Echocardiographic parameters, epicardial fat tissue, flow-mediated dilatation, and chemerin levels were recorded for both groups. Results: The serum levels of chemerin in the psoriatic patients were significantly higher than in the control group. The diastolic function parameters, including isovolumic contraction and relaxation time, E’/A’ (early diastolic mitral annular velocity/late diastolic mitral annular velocity), and E/E’ (early diastolic peak velocity of mitral inflow/early diastolic mitral annular velocity) values, differed significantly between the groups. Epicardial fat tissue was significantly higher and flow-mediated dilatation was significantly lower in psoriatic patients than in the controls. Chemerin was significantly positively correlated with age, body mass index, systolic and diastolic blood pressures, waist circumference, E/E’, and epicardial fat tissue. Serum chemerin was significantly negatively correlated with E’, E’/A’, and flow-mediated dilatation. A multiple linear regression analysis showed that chemerin was independently correlated with E/E’. Conclusions: Psoriatic patients exhibit early subclinical atherosclerosis and diastolic dysfunction. Chemerin can be used as a marker to screen for patients with subclinical cardiac involvement

High-order epistasis in catalytic power of dihydrofolate reductase gives rise to a rugged fitness landscape in the presence of trimethoprim selection

Evolutionary fitness landscapes of several antibiotic target proteins have been comprehensively mapped showing strong high-order epistasis between mutations, but understanding these effects at the biochemical and structural levels remained open. Here, we carried out an extensive experimental and computational study to quantitatively understand the evolutionary dynamics of Escherichia coli dihydrofolate reductase (DHFR) enzyme in the presence of trimethopriminduced selection. To facilitate this, we developed a new in vitro assay for rapidly characterizing DHFR steady-state kinetics. Biochemical and structural characterization of resistance-conferring mutations targeting a total of ten residues spanning the substrate binding pocket of DHFR revealed distinct changes in the catalytic efficiencies of mutated DHFR enzymes. Next, we measured biochemical parameters (Km, Ki, and kcat) for a mutant library carrying all possible combinations of six resistance-conferring DHFR mutations and quantified epistatic interactions between them. We found that the high-order epistasis in catalytic power of DHFR (kcat and Km) creates a rugged fitness landscape under trimethoprim selection. Taken together, our data provide a concrete illustration of how epistatic coupling at the level of biochemical parameters can give rise to complex fitness landscapes, and suggest new strategies for developing mutant specific inhibitors

Strength of selection pressure is an important parameter contributing to the complexity of antibiotic resistance evolution

Revealing the genetic changes responsible for antibiotic resistance can be critical for developing novel antibiotic therapies. However, systematic studies correlating genotype to phenotype in the context of antibiotic resistance have been missing. In order to fill in this gap, we evolved 88 isogenic Escherichia coli populations against 22 antibiotics for 3 weeks. For every drug, two populations were evolved under strong selection and two populations were evolved under mild selection. By quantifying evolved populations' resistances against all 22 drugs, we constructed two separate cross-resistance networks for strongly and mildly selected populations. Subsequently, we sequenced representative colonies isolated from evolved populations for revealing the genetic basis for novel phenotypes. Bacterial populations that evolved resistance against antibiotics under strong selection acquired high levels of cross-resistance against several antibiotics, whereas other bacterial populations evolved under milder selection acquired relatively weaker cross-resistance. In addition, we found that strongly selected strains against aminoglycosides became more susceptible to five other drug classes compared with their wild-type ancestor as a result of a point mutation on TrkH, an ion transporter protein. Our findings suggest that selection strength is an important parameter contributing to the complexity of antibiotic resistance problem and use of high doses of antibiotics to clear infections has the potential to promote increase of cross-resistance in clinics