121 research outputs found

    Occurrence of Bacillus cereus in beef burger marketed in Tehran, capital of Iran

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    Introduction: Beef burgers made in Iran contain various compounds such as meat, cereals flour, as well as some spices which can be contaminated with Bacillus cereus, causing gastroenteritis in the consumer. This study is focused on occurrence of B.cereus in beef burgers marketed in Tehran, capital of Iran. Methods and Results: In this cross-sectional study, a total of 80 samples of different types of beef burgers marketed in Tehran, Iran were randomly collected based on their percentage of meat content, including 30% (n=25), 60% (n=40) as well as 90% (n=15). The samples were analyzed microbiologically by routine culture assay and biochemical tests to find B.cereus. Data were analyzed statistically by Microsoft Office Excel 2010.  Twenty-five out of 80 (31.25%) beef burger samples were contaminated by B. cereus. Based on the percentage of meat content in the samples, the beef burger with 90% meat were significantly (p<0.05) more contaminated than the others. Also, the contamination rate was significantly (p<0.05) higher in summer compared to winter. Conclusion: This survey showed that the beef burgers supplied in Iran markets is main source of B.cereus that can cause disease in Iranian consumers. More attempts must be focused on cold-chain maintenance in production, distribution, and storage of the meat products

    Diagnostic values of ultrasound and the Modified Alvarado Scoring System in acute appendicitis

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    BACKGROUND: Making the diagnosis of acute appendicitis is difficult, and is important for preventing perforation of the appendix and negative appendectomy results. Ultrasound and clinical scoring systems are very helpful in making the diagnosis. Ultrasound is non-invasive, available and cost-effective, and can accomplish more than CT scans. However, there is no certainty about its effect on the clinical outcomes of patients, and it is operator dependent. Counting the neutrophils as a parameter of the Alvarado Scale is not routine in many laboratories, so we decided to evaluate the diagnostic value of the Modified Alvarado Scaling System (MASS) by omitting the neutrophil count and ultrasonography. METHODS: After ethical approval of methodology in Tehran University of Medical Sciences ethical committee, we collected the data. During 9 months, 75 patients with right lower quadrant pain were enrolled in the study, and underwent abdominal ultrasonography and appendectomy, with pathological evaluation of the appendix. The MASS score was calculated for these patients and compared with pathology results. RESULTS: Fifty-five male and 20 female patients were assessed. Of these patients 89.3% had acute appendicitis. The sensitivity, specificity, PPV, NPV and accuracy rate of ultrasonography was 71.2%, 83.3%, 97.4%, 25% and 72.4%, respectively. By taking a cutoff point of 7 for the MASS score, a sensitivity of 65.7%, specificity of 37.5%, PPV of 89.8%, NPV of 11.5% and accuracy of 62.7% were calculated. Using the cutoff point of 6, a sensitivity of 85.1%, specificity of 25%, PPV of 90.5%, NPV of 16.7% and accuracy of 78.7% were obtained. CONCLUSION: Ultrasound provides reliable findings for helping to diagnose acute appendicitis in our hospital. A cutoff point of 6 for the MASS score will yield more sensitivity and a better diagnosis of appendicitis, though with an increase in negative appendectomy

    Accuracy of the Logistic EuroSCORE in Predicting Long-Term Survival Following Isolated Aortic Valve Replacement

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    Objective: To assess the ability of the logistic EuroSCORE to predict long- term mortality of patients undergoing isolated Surgical Aortic Valve Replacement (SAVR). Methods: A retrospective review of all patients undergoing SAVR between September 1999, and March 2018 was done. Results: 2018 patients were eligible for inclusion in the study. Patients were grouped according to risk: low (n = 506), intermediate (n = 609), and high-risk (n = 903) depending on their logistic EuroSCORE values. The 30-day mortality of the low- risk group was 0.47%. The one-, five-, 10-, 15-, and 20-year mortality was 1.66%, 4.9%, 14.9%, 24.3%, and 43.8%, respectively. Intermediate-risk group 30-day mortality was 0.66%. The one-, five-, 10-, 15-, and 20-year mortality was 3.28%, 11.9%, 32%, 54.8%, and 82.6%, respectively. The 30-day mortality of the high- risk group was 3.99%. The one-, five-, 10-, 15-, and 20-year mortality was 8.2%, 27%, 55.4%, 78.6%, and 87%, respectively. Conclusion: Our results confirm that the lES is accurate in predicting long-term mortality outcomes of SAVR. This real-world data provides evidence of the potential usefulness of the EuroSCORE to help the heart team and patients decide on appropriate interventions for aortic stenosis

    Internal jugular vein duplication: clinical significance for head and neck cancer ablative and reconstructive surgery

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    We present the case of a 75-year-old patient with a T2N0Mo oral cancer, who underwent surgery for cancer ablation and reconstruction. Intraoperatively, a duplicate internal jugular vein (IJV) was identified. Both segments were preserved. The veins of the free radial forearm flap that was used to reconstruct the defect were anastomosed to tributaries of the anterior IJV segment. In this rare anatomical variation, the anterior segment of IJV lies medially/anteriorly to the sternocleidomastoid muscle which poses a risk of inadvertent injury during the early steps of the neck dissection (ND). The posterior segment is at risk of injury during developing levels II–III–IV of ND. It is important to preserve the anterior IJV segment as this receives all tributaries that can be used for end-to-end anastomosis for the free flap. Preoperative contrast computed tomography scan can aid in recognition of IJV duplication and help prepare the surgeon to adjust certain operative steps

    Cochrane vs Non-Cochrane Review in IBD: A Systematic Review

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    In meta-analyses with the same set of interventions and outcomes, what are the differences in terms of methodological and statistical quality, and effect size

    Association of levels of interleukin 17 and T-helper 17 count with symptom severity and etiology of chronic heart failure: a case-control study

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    Aim To assess the association between the levels of interleukin 17 (IL-17) and T-helper 17 count and symptom severity and etiology of chronic heart failure. Methods This single-center prospective case-control study, conducted from December 1, 2015 to January 1, 2017 in Tehran Heart Center, evaluated gene expression of IL-17, relative count of (CD4+IL17+) Th17 cells and CD4+ helper T-cells in peripheral blood mononuclear cells of 42 patients with CHF and 42 matched controls. A multiple regression model assessed the predictors of peripheral IL-17 expression and Th17 count in patients with CHF. Results IL-17 expression was increased in patients with CHF, both at baseline and after stimulation. IL-17 and Th17 counts were higher in patients with advanced New York Heart Association (NYHA) functional class (class IV) than in controls and patients with class I. Th17 cell population expanded in patients with CHF, more prominently in patients with class IV than in controls and patients with class I, regardless of the ischemic or non-ischemic CHF origin. Multiple regression model showed that NYHA was the only meaningful predictor of IL-17 levels and Th17 count. Conclusion We demonstrated the lymphocytic origin of IL-17 production in advanced CHF and the ability of disease severity to predict IL-17 levels

    2nd National Congress on Clinical Case Reports, December 26 and 27, 2018

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    The second annual meeting of Clinical Case Report (CCR) has been held in Karaj, Iran from the 26th to the 27th of December, 2018 (Figure 1). The congress was organized by the Clinical Research Development Center of Shahid Rajaei Educational and Therapeutic Center, Alborz University of Medical Sciences together (Figure 2), with a Scientific Committee including some of the faculty members of the university (Table 1). The conference program was organized into the following sessions: · Cardiovascular · Nursing · Pediatrics · Obstetrics and Gynecology · Internal Medicine · Surgery · Urology · Neurology and Neurosurgery · Orthopedics · Psychiatry · Laboratory Sciences · Infectious diseases · Traditional Medicine This meeting brought together clinician and researchers from several prestigious universities and research centers throughout Iran including Rasht, Torbat Heidarieh, Qazvin, Neyshahpour, Ardebil, Isfahan, Khorramabad, Tabriz, Hamedan, Marand, Bushehr, Mashhad, Ahvaz, Sanandaj, Bojnourd, Sabzevar, Kashan, Gorgan, Ilam, Dezful, Yazd, Tehran, Urmia and Semnan, as well as leading researchers from countries such as Turkey. Participants were invited to submit scientific contributions, as oral presentations or posters. After evaluation of the 858 abstracts received, the Scientific Committee selected 40 of them for oral presentations, and accepted 231 as posters

    Documenting Successful Experiences of Reorganizing the Hospital and Human Resource Management in an Iranian Referral Hospital During the COVID-19 Pandemic

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    Background: Human resource provision in the COVID-19 pandemic crisis is a challenge for nursing managers. The outbreak of the COVID-19 pandemic has made a major challenge of staff for health organizations.Aim: The present study was conducted with aim to provide managerial methods in crisis management in the field of the COVID-19 pandemic.Method: This study was conducted during the COVID- 19 pandemic in Shariati Hospital. Facing the crisis was done in two steps: "reorganization of the physical environment of the hospital" and "reorganization and provision of the staff". Step 1: integrating the medical wards from 17 wards to 5 wards and classification of units into three levels of care. Step 2: “Transfer of high-risk staff from the hospital to other centers”, “Classification of operational and middle-level managers”, “Providing appropriate staff based on levels of patient care needs”, “Review of job descriptions of head nurses at the crisis stage”, “Working shift scheduling, reviewing the staff planning” and “Rehabilitation of the staff”.Results: Shariati Hospital had 151 beds, 88 of which were used during the COVID crisis. A total of 88 nurses resigned from the hospital because of high risk conditions, and 117 nurses began cooperating with the hospital on permanent shift or voluntary basis.Implications for Practice: Early response to the crisis in terms of reorganizing medical departments and predicting staff needs in the hospital could lead to staff protection and provision of appropriate staff ratio. Based on this study, crisis management can be done in similar situations

    a forecasting analysis for the Global Burden of Disease Study 2021

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    Funding Information: This work was supported, in whole or in part, by the Bill & Melinda Gates Foundation OPP1152504 and by Bloomberg Philanthropies. Publisher Copyright: © 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licenseBackground: Future trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) and provide a reference forecast (the most likely future), and alternative scenarios assessing disease burden trajectories if selected sets of risk factors were eliminated from current levels by 2050. Methods: Using forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. All analyses were done at the cause-specific level so that only risk factors deemed causal by the GBD comparative risk assessment influenced future trajectories of mortality for each disease. Cause-specific mortality was modelled using mixed-effects models with SDI and time as the main covariates, and the combined impact of causal risk factors as an offset in the model. At the all-cause mortality level, we captured unexplained variation by modelling residuals with an autoregressive integrated moving average model with drift attenuation. These all-cause forecasts constrained the cause-specific forecasts at successively deeper levels of the GBD cause hierarchy using cascading mortality models, thus ensuring a robust estimate of cause-specific mortality. For non-fatal measures (eg, low back pain), incidence and prevalence were forecasted from mixed-effects models with SDI as the main covariate, and YLDs were computed from the resulting prevalence forecasts and average disability weights from GBD. Alternative future scenarios were constructed by replacing appropriate reference trajectories for risk factors with hypothetical trajectories of gradual elimination of risk factor exposure from current levels to 2050. The scenarios were constructed from various sets of risk factors: environmental risks (Safer Environment scenario), risks associated with communicable, maternal, neonatal, and nutritional diseases (CMNNs; Improved Childhood Nutrition and Vaccination scenario), risks associated with major non-communicable diseases (NCDs; Improved Behavioural and Metabolic Risks scenario), and the combined effects of these three scenarios. Using the Shared Socioeconomic Pathways climate scenarios SSP2-4.5 as reference and SSP1-1.9 as an optimistic alternative in the Safer Environment scenario, we accounted for climate change impact on health by using the most recent Intergovernmental Panel on Climate Change temperature forecasts and published trajectories of ambient air pollution for the same two scenarios. Life expectancy and healthy life expectancy were computed using standard methods. The forecasting framework includes computing the age-sex-specific future population for each location and separately for each scenario. 95% uncertainty intervals (UIs) for each individual future estimate were derived from the 2·5th and 97·5th percentiles of distributions generated from propagating 500 draws through the multistage computational pipeline. Findings: In the reference scenario forecast, global and super-regional life expectancy increased from 2022 to 2050, but improvement was at a slower pace than in the three decades preceding the COVID-19 pandemic (beginning in 2020). Gains in future life expectancy were forecasted to be greatest in super-regions with comparatively low life expectancies (such as sub-Saharan Africa) compared with super-regions with higher life expectancies (such as the high-income super-region), leading to a trend towards convergence in life expectancy across locations between now and 2050. At the super-region level, forecasted healthy life expectancy patterns were similar to those of life expectancies. Forecasts for the reference scenario found that health will improve in the coming decades, with all-cause age-standardised DALY rates decreasing in every GBD super-region. The total DALY burden measured in counts, however, will increase in every super-region, largely a function of population ageing and growth. We also forecasted that both DALY counts and age-standardised DALY rates will continue to shift from CMNNs to NCDs, with the most pronounced shifts occurring in sub-Saharan Africa (60·1% [95% UI 56·8–63·1] of DALYs were from CMNNs in 2022 compared with 35·8% [31·0–45·0] in 2050) and south Asia (31·7% [29·2–34·1] to 15·5% [13·7–17·5]). This shift is reflected in the leading global causes of DALYs, with the top four causes in 2050 being ischaemic heart disease, stroke, diabetes, and chronic obstructive pulmonary disease, compared with 2022, with ischaemic heart disease, neonatal disorders, stroke, and lower respiratory infections at the top. The global proportion of DALYs due to YLDs likewise increased from 33·8% (27·4–40·3) to 41·1% (33·9–48·1) from 2022 to 2050, demonstrating an important shift in overall disease burden towards morbidity and away from premature death. The largest shift of this kind was forecasted for sub-Saharan Africa, from 20·1% (15·6–25·3) of DALYs due to YLDs in 2022 to 35·6% (26·5–43·0) in 2050. In the assessment of alternative future scenarios, the combined effects of the scenarios (Safer Environment, Improved Childhood Nutrition and Vaccination, and Improved Behavioural and Metabolic Risks scenarios) demonstrated an important decrease in the global burden of DALYs in 2050 of 15·4% (13·5–17·5) compared with the reference scenario, with decreases across super-regions ranging from 10·4% (9·7–11·3) in the high-income super-region to 23·9% (20·7–27·3) in north Africa and the Middle East. The Safer Environment scenario had its largest decrease in sub-Saharan Africa (5·2% [3·5–6·8]), the Improved Behavioural and Metabolic Risks scenario in north Africa and the Middle East (23·2% [20·2–26·5]), and the Improved Nutrition and Vaccination scenario in sub-Saharan Africa (2·0% [–0·6 to 3·6]). Interpretation: Globally, life expectancy and age-standardised disease burden were forecasted to improve between 2022 and 2050, with the majority of the burden continuing to shift from CMNNs to NCDs. That said, continued progress on reducing the CMNN disease burden will be dependent on maintaining investment in and policy emphasis on CMNN disease prevention and treatment. Mostly due to growth and ageing of populations, the number of deaths and DALYs due to all causes combined will generally increase. By constructing alternative future scenarios wherein certain risk exposures are eliminated by 2050, we have shown that opportunities exist to substantially improve health outcomes in the future through concerted efforts to prevent exposure to well established risk factors and to expand access to key health interventions. Funding: Bill & Melinda Gates Foundation.publishersversionpublishe
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