While the average symptom duration was 8.2days; total hospitalization period was 13.1days. The average length of stay of patients (n = 75) who were sent to intensive care unit was 10.1. The most common chronic disease among patients was hypertension with 47.2%. VER155008 This was followed by diabetes mellitus (32.8%) and heart disease (27.5%), respectively. In the population studied, cough (59.4%), fever (58.5%) and shortness of breath (45.9%) were found to be the most common symptoms. Leukopenia, impairments in liver and muscle enzymes, abnormal C-reactive protein, ferritin and d-dimer levels were the important biochemical tests.

Particular attention should be paid to the elderly COVID-19 patients with chronic diseases, especially DM, HT and cancer.

Particular attention should be paid to the elderly COVID-19 patients with chronic diseases, especially DM, HT and cancer.

Neck circumference, a proxy for upper-body subcutaneous fat, is a unique and pathogenic fat depot that confers additional metabolic risk. The purpose of present study was to determine whether neck circumference associates with nonalcoholic fatty liver disease (NAFLD) in postmenopausal women with normal body mass index.

A cross-sectional survey (n = 2492) and a 3.1-year follow-up investigation (n = 1354) were conducted among Chinese postmenopausal women with normal BMI (18.5 to < 25kg/m

). Neck circumference was measured horizontally at the lower margin of the laryngeal prominence.

In the cross-sectional analysis, large neck circumference was associated with the presence of NAFLD (odds ratio 2.28; 95% CI 1.74-2.98; highest tertile versus lowest tertile) after adjustment for confounding factors. Among 1354 subjects without the NAFLD at baseline, 429 (31.7%) incident NAFLD cases occurred at 3.1years. Neck circumference was positively associated with triglycerides, homeostasis model assessment of insulin resistance, C-reactive protein, and negatively associated with high-density lipoprotein cholesterol and adiponectin. Individuals with large baseline neck circumference had a significantly higher risk of NAFLD than those with small neck circumference. The multivariable adjusted hazard ratio was 1.42 (95% CI 1.15-1.97; p for trend = 0.004) for the highest versus the lowest tertile of neck circumference, and was 1.22 (95% CI 1.10-1.41; p = 0.006) per 1-standard deviation increment in neck circumference.

Among postmenopausal women with normal BMI, relatively large neck circumference levels are associated with an increased risk of NAFLD.

Among postmenopausal women with normal BMI, relatively large neck circumference levels are associated with an increased risk of NAFLD.

The role of Artificial intelligence (AI) which is defined as the ability of computers to perform tasks that normally require human intelligence is constantly expanding. Medicine was slow to embrace AI. However, the role of AI in medicine is rapidly expanding and promises to revolutionize patient care in the coming years. In addition, it has the ability to democratize high level medical care and make it accessible to all parts of the world.

Among specialties of medicine, some like radiology were relatively quick to adopt AI whereas others especially pathology (and surgical pathology in particular) are only just beginning to utilize AI. AI promises to play a major role in accurate diagnosis, prognosis and treatment of cancers. In this paper, the general principles of AI are defined first followed by a detailed discussion of its current role in medicine. In the second half of this comprehensive review, the current and future role of AI in surgical pathology is discussed in detail including an account of the practical difficulties involved and the fear of pathologists of being replaced by computer algorithms. A number of recent studies which demonstrate the usefulness of AI in the practice of surgical pathology are highlighted.

AI has the potential to transform the practice of surgical pathology by ensuring rapid and accurate results and enabling pathologists to focus on higher level diagnostic and consultative tasks such as integrating molecular, morphologic and clinical information to make accurate diagnosis in difficult cases, determine prognosis objectively and in this way contribute to personalized care.

AI has the potential to transform the practice of surgical pathology by ensuring rapid and accurate results and enabling pathologists to focus on higher level diagnostic and consultative tasks such as integrating molecular, morphologic and clinical information to make accurate diagnosis in difficult cases, determine prognosis objectively and in this way contribute to personalized care.

With the novel coronavirus pandemic, the impact on the healthcare system and workers cannot be overlooked. However, studies on the infection status of medical personnel are still lacking. It is imperative to ensure the safety of health-care workers (HCWs) not only to safeguard continuous patient care but also to ensure they do not transmit the virus, therefore evaluation of infection rates in these groups are indicated.

Demographic and clinical data regarding infected cases among HCWs of Fars, Iran with positive SARS-CoV-2 PCR tests were obtained from 10th March to 17th May 2020.

Our data demonstrated a rate of 5.62% (273 out of 4854 cases) infection among HCW, with a mean age of 35years and a dominance of female cases (146 cases 53.5%). The majority of infected cases were among nurses (51.3%), while the most case infection rate (CIR) was among physicians (27 positive cases out of 842 performed test (3.2%)). Also, the highest rate of infection was in the emergency rooms (30.6%). Also, 35.5% of the patients were asymptomatic and the most frequent clinical features among symptomatic patients were myalgia (46%) and cough (45.5%). Although 5.5% were admitted to hospitals, there were no reports of ICU admission. Furthermore, 10.3% of the cases reported transmitting the infection to family and friends. Regarding safety precautions, 1.6% didn’t wear masks and 18.7% didn’t use gloves in work environments.

HCWs are among the highest groups at risk of infection during the COVID-19 pandemic; therefore, evaluating infection rates and associated features is necessary to improve and adjust protective measures of these vulnerable, yet highly essential group.

HCWs are among the highest groups at risk of infection during the COVID-19 pandemic; therefore, evaluating infection rates and associated features is necessary to improve and adjust protective measures of these vulnerable, yet highly essential group.