Effects of aerobic continuous and interval training on rate-pressure product in patients after CABG surgery.

AIM: Rate- pressure product (RPP) is an indirect index of myocardial oxygen consumption of patients with coronary artery disease. Effects of aerobic continuous and interval exercise training on RPP in patients after coronary artery bypass graft (CABG) surgery was examined in this study. METHODS: Thirty male patients after CABG surgery were divided into aerobic continuous (AC) training (N.=11), aerobic interval (AI) training (N.=11) and control (C) (N.=8) group. AC training included 30-60 minutes at 70-85% of peak heart rate and AI training lasted 28 to 45 minutes (3 intervals for 9-15 min) at 75-90% of peak heart rate. Exercise training program was performed 3 day/week for 8 weeks. Paired t-test was used for analyzing data. RESULTS: A significant decrease in resting and maximal RPP and RPP at 3th, 6th and 9th minutes of exercise was found in AC and AI training vs. control group (P<0.05). No significant difference was found in RPP at 1th, 2th and 3th minutes of recovery in 2 training groups (P>0.05). CONCLUSION: Both high intensity AC and AI training program are effective on RPP in patients after CABG surgery and enhance efficiency of myocardium and its metabolic demands, but AI training program is more effective.

Delayed cervical cancer diagnosis: a systematic review.

OBJECTIVE: Cervical cancer (CC) is a preventable women's cancer. Vaccination and routine Pap smear screening have reduced cervical cancer-related mortality by 70-80% in the world. The eradication of CC depends on identifying the disease early and removing barriers to its timely detection. This review study was designed to determine diagnostic delay and factors related to delayed CC diagnosis in the world. MATERIALS AND METHODS: A comprehensive search was carried out in databases including Medline, Web of Science, Core Collection (Indexes = SCI-EXPANDED, SSCI, A & HCI Timespan), and Scopus for articles published up to December 2021. Publications were included if they reported data on the delayed CC, and factors related to diagnosis of CC in women. There was no time restriction in this review. RESULTS: In total, 45 articles were entered into the study. In studies, advanced stages of CC (IIB to IV) varied from 10.2% to 87.9% due to delayed diagnosis. A delayed CC diagnosis was reported in 4.3%-89.1% of patients. The median and mean days of delayed diagnosis were 59-210 days and 2.92-10.5 months, respectively. Factors related to delayed CC diagnosis were categorized into three components including patient, medical history, and health system delay. Patient delay included socio-demographic, husband/ partner, and knowledge. Medical history included medical issues, obstetrics, and family history. Health system delays included health facilities and levels of accessibility. CONCLUSIONS: There is an urgent need to shorten the diagnostic journey of CC patients by addressing all the components of diagnostic delay and developing strategies to modify the factors associated with these delays.

Coronary artery disease in a large renal transplant population: implications for management.

Coronary artery disease (CAD) accounts for approximately one-half of the sizable mortality in patients with end-stage renal disease who have undergone transplantation. The study was a retrospective review of 1460 patients who underwent renal transplantation at the Mount Sinai Medical Center from January 1, 2000 to October 31, 2009. Noninvasive stress testing was performed in 848 patients (88.1%) with 278 patients (32.8%) having abnormal results. Cardiac catheterization was performed in 357 patients (37.1%) and of these, 212 patients had obstructive disease (59.4%). At 5 years posttransplant, there was no statistically significant difference between those with nonobstructive CAD and those who required percutaneous or surgical interventions (adjusted hazard ratio [aHR], 1.243; CI 95%, 0.513-3.010; p = 0.630). Those with medically managed obstructive CAD had significantly higher rates of death at the 5-year period when compared to those who received percutaneous intervention (aHR, 3.792; CI 95%, 1.320-10.895; p = 0.013) or those who received coronary artery bypass grafting (aHR, 6.691; CI 95%, 1.200-37.323). Because noninvasive imaging is poorly predictive of coronary disease in this high-risk population, an anatomic diagnosis is recommended. Revascularization may result in improved long-term outcomes.

Is there any relation between serum insulin and insulin-like growth factor-I in non-diabetic patients with skin tag?

BACKGROUND: Skin tags are common benign lesion occurring mainly on the neck and major flexures as a small soft pedunculated protrusion. This study evaluate insulin and insulin-like growth factor-I (IGF-I) in non-diabetic ones. METHODS AND MATERIALS: A case-control study was conducted in non-diabetic persons. Comparing insulin and IGF-I between matched cases (n = 40) and controls (n = 40) by radioimmunoassay test. Cases and controls were recruited from patients consecutively seen at an academic outpatient dermatology clinic. RESULTS: The insulin level in patients with skin tags was significantly higher than controls (P = 0.00) but IGF-I level was not significantly different (P = 0.43). CONCLUSION: These results show an increased insulin level in non-diabetics ones and overall importance of insulin effect in pathogenesis of skin tags.

Epidemiological status of dermatophytosis in Guilan, north of Iran.

BACKGROUND AND PURPOSE: The epidemiological features of dermatophytoses have been characterized in many geographical locations of Iran, but not in Guilan, North of Iran. This study was carried out to determine the distribution pattern of dermatophytoses and their relevant agents in Guilan, North of Iran, over a period of one year, from April 2010 to April 2011. MATERIALS AND METHODS: The clinical samples of skin, hair, and nail from 889 outpatients (317 men vs. 572 women) were used for direct microscopy and culture. All the culture-positive samples were then subjected to amplification of the internal transcribed spacer (ITS) of the nuclear rDNA followed by a restriction fragment length polymorphism (RFLP) assay to verify the causative agents. RESULTS: The infection was confirmed in 90 (44.3%) males and 113 (55.7%) females. The most common type of dermatophytoses was tinea cruris (42.9%), followed by tinea pedis (20.2%), tinea corporis (11.3%), tinea unguium (7.4%), tinea faciei (6.9%), tinea manuum (6.4%), and tinea capitis (4.9%). ITS-RFLP based of the identification of isolates, showed that the infections were significantly associated with anthropophilic species, of Trichophyton rubrum (41.9%), Epidermophyton floccosum (19.7%), T. tonsurans (5.4%), and T.violaceum (2%). Other causative agents were T. interdigitale (22.6%), Microsporum canis (4.9%), T. verrucosum (2.5%), and M. gypseum (1%). CONCLUSION: The higher prevalence of T. rubrum, as the agent of dermatophytoses, than other species has never been reported from Iran and is of public health concern because of the chronic nature of infections with anthropophilic species. To thoroughly investigate the epidemiological trend of dermatophytoses in Iran, further periodical and molecular-based studies are necessary.

Survival prediction of trauma patients: a study on US National Trauma Data Bank.

BACKGROUND: Exceptional circumstances like major incidents or natural disasters may cause a huge number of victims that might not be immediately and simultaneously saved. In these cases it is important to define priorities avoiding to waste time and resources for not savable victims. Trauma and Injury Severity Score (TRISS) methodology is the well-known and standard system usually used by practitioners to predict the survival probability of trauma patients. However, practitioners have noted that the accuracy of TRISS predictions is unacceptable especially for severely injured patients. Thus, alternative methods should be proposed. METHODS: In this work we evaluate different approaches for predicting whether a patient will survive or not according to simple and easily measurable observations. We conducted a rigorous, comparative study based on the most important prediction techniques using real clinical data of the US National Trauma Data Bank. RESULTS: Empirical results show that well-known Machine Learning classifiers can outperform the TRISS methodology. Based on our findings, we can say that the best approach we evaluated is Random Forest: it has the best accuracy, the best area under the curve, and k-statistic, as well as the second-best sensitivity and specificity. It has also a good calibration curve. Furthermore, its performance monotonically increases as the dataset size grows, meaning that it can be very effective to exploit incoming knowledge. Considering the whole dataset, it is always better than TRISS. Finally, we implemented a new tool to compute the survival of victims. This will help medical practitioners to obtain a better accuracy than the TRISS tools. CONCLUSION: Random Forests may be a good candidate solution for improving the predictions on survival upon the standard TRISS methodology.

AXSIS: Exploring the frontiers in attosecond X-ray science, imaging and spectroscopy.

X-ray crystallography is one of the main methods to determine atomic-resolution 3D images of the whole spectrum of molecules ranging from small inorganic clusters to large protein complexes consisting of hundred-thousands of atoms that constitute the macromolecular machinery of life. Life is not static, and unravelling the structure and dynamics of the most important reactions in chemistry and biology is essential to uncover their mechanism. Many of these reactions, including photosynthesis which drives our biosphere, are light induced and occur on ultrafast timescales. These have been studied with high time resolution primarily by optical spectroscopy, enabled by ultrafast laser technology, but they reduce the vast complexity of the process to a few reaction coordinates. In the AXSIS project at CFEL in Hamburg, funded by the European Research Council, we develop the new method of attosecond serial X-ray crystallography and spectroscopy, to give a full description of ultrafast processes atomically resolved in real space and on the electronic energy landscape, from co-measurement of X-ray and optical spectra, and X-ray diffraction. This technique will revolutionize our understanding of structure and function at the atomic and molecular level and thereby unravel fundamental processes in chemistry and biology like energy conversion processes. For that purpose, we develop a compact, fully coherent, THz-driven atto-second X-ray source based on coherent inverse Compton scattering off a free-electron crystal, to outrun radiation damage effects due to the necessary high X-ray irradiance required to acquire diffraction signals. This highly synergistic project starts from a completely clean slate rather than conforming to the specifications of a large free-electron laser (FEL) user facility, to optimize the entire instrumentation towards fundamental measurements of the mechanism of light absorption and excitation energy transfer. A multidisciplinary team formed by laser-, accelerator,- X-ray scientists as well as spectroscopists and biochemists optimizes X-ray pulse parameters, in tandem with sample delivery, crystal size, and advanced X-ray detectors. Ultimately, the new capability, attosecond serial X-ray crystallography and spectroscopy, will be applied to one of the most important problems in structural biology, which is to elucidate the dynamics of light reactions, electron transfer and protein structure in photosynthesis.