Medicine
Ali Reza Lotfi; Abbasali Dehghani
Abstract
Introduction: Pain intensity represents an important but understudied aspect of sinonasal mucormycosis surgery. Understanding the relationship between pain intensity and mortality is crucial for optimizing pain management strategies and improving patient outcomes.Material and Methods: Data collection ...
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Introduction: Pain intensity represents an important but understudied aspect of sinonasal mucormycosis surgery. Understanding the relationship between pain intensity and mortality is crucial for optimizing pain management strategies and improving patient outcomes.Material and Methods: Data collection was conducted by reviewing electronic medical records and surgical databases to extract relevant information on patient demographics, clinical characteristics, surgical procedures, pain intensity scores, and mortality outcomes. Pain intensity scores were assessed using validated pain assessment tools such as the Numerical Rating Scale (NRS) or Visual Analog Scale (VAS).Results: The results of the multivariable Cox proportional hazards regression analysis revealed that pain intensity was significantly associated with mortality (HR: 1.82, 95% CI: 1.45 - 2.28, p < 0.001). After adjusting for age, comorbidities, and surgical procedures, each unit increase in pain intensity was associated with a 1.82-fold increase in the hazard of mortalityConclusion: Our study highlights the significant association between pain intensity and mortality following sinonasal mucormycosis surgery. Effective pain management plays a crucial role in optimizing outcomes for patients undergoing surgical treatment for mucormycosis, and efforts to improve pain control should be integrated into perioperative care protocols.
Medicine
Sanaz Yasrebinia; Mansour Rezaei
Abstract
Introduction: As the global community strives to ensure the health and well-being of mothers and newborns, AI emerges as a powerful ally in this noble endeavor. Through this systematic review, we seek to provide a comprehensive overview of the state of AI-driven mortality prediction, offering insights ...
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Introduction: As the global community strives to ensure the health and well-being of mothers and newborns, AI emerges as a powerful ally in this noble endeavor. Through this systematic review, we seek to provide a comprehensive overview of the state of AI-driven mortality prediction, offering insights that may shape the future of maternal and neonatal healthcare and bring us closer to the goal of ensuring safe pregnancies and healthy beginnings for all. Material and methods: We systematically reviewed the literature, restricting our search to publications from the past decade, and utilized the five major scientific databases as primary sources. Results: Out of the initial pool of 671 works, a total of 18 primary studies were meticulously chosen for in-depth analysis. It was evident that a predominant focus of these studies revolved around the prediction of neonatal mortality, predominantly employing machine learning models, with Random Forest being a popular choice. The top five frequently utilized features for model training encompassed birth weight, gestational age, the child's gender, Apgar score, and the mother's age. The development of predictive models for mitigating mortality during and after pregnancy holds immense potential, not only for enhancing the quality of life for mothers but also as a potent and cost-effective tool for reducing mortality rates. Conclusion: Drawing from the findings of this systematic review, it becomes evident that substantial scientific endeavors have been undertaken in this domain. However, it is equally apparent that numerous unexplored research avenues and opportunities await further exploration within the research community.
Medicine
Hamid Owaysee Osquee; Ali Reza Lotfi
Abstract
Examining laboratory parameters to determine acute or less severe cases of mucormycosis after contracting covid-19, identifying patients who are at higher risk of mortality, and increasing awareness for proper practice will be useful in improving the clinical situation. So we decided to Investigate Factors ...
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Examining laboratory parameters to determine acute or less severe cases of mucormycosis after contracting covid-19, identifying patients who are at higher risk of mortality, and increasing awareness for proper practice will be useful in improving the clinical situation. So we decided to Investigate Factors Affecting Mortality From mucormycosis After Covid-19 Infection. Methods: This study was a systematic review (Conducted by PRISMA guideline). This study was conducted in Tabriz university of medical sciences in 2022. Results: From examining the results of these studies (15 studies), it was found that mortality was higher in patients hospitalized in ICU and general wards, and a significant difference was observed between the average age of recovered and deceased patients. Having high blood pressure as well as diabetes mellitus also significantly led to an increase in mortality. Conclusion: Hospitalization in the intensive care unit, advanced age, high severity of covid-19, high blood sugar and underlying diseases significantly increase the risk of death due to mucormycosis following covid-19.
Health
Khosrow Hashemzadeh; Marjan Dehdilan
Abstract
Introduction: Statins are powerful lipid-lowering drugs that have been shown to be effective in preventing heart disease and reducing the risk of death and heart attack. It is unclear whether hyperlipidemic patients undergoing coronary artery bypass grafting benefit from the lipid-lowering effects of ...
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Introduction: Statins are powerful lipid-lowering drugs that have been shown to be effective in preventing heart disease and reducing the risk of death and heart attack. It is unclear whether hyperlipidemic patients undergoing coronary artery bypass grafting benefit from the lipid-lowering effects of statins. We sought to determine whether prior statin therapy could affect the outcome of hyperlipidemic patients undergoing coronary artery bypass grafting. Material and Methods: In this cross-sectional descriptive study conducted between 2012 and 2015, hyperlipidemia to mortality post anesthesia in patients who are candidates for coronary artery graft surgery was investigated. Results: Risk-adjusted multivariate logistic regression analysis showed that statin-treated hyperlipidemic (odds ratio, 0.42; 95% confidence interval, 0.26-0.69; P = .0007) ratio was 0.42; confidence interval, 0.26-0.69; P = .0007) was independently associated with a reduction in major in-hospital cardiac events, but not in-hospital mortality. A similarity score based on the previous 14 risk factors was performed to further control for bias. After similar correlations, randomized controlled trials confirmed that statin-treated hyperlipidemia and non-statin-treated eulipidemia were associated with reductions in major cardiovascular hospitalizations (difference odds ratio, 0.41; 95% confidence, 0.24-=0.71 [P. .0013] and odds) rate is 0. Conclusion: Although there was no increase in MACE in these normolipidemic patients who did not receive prior statin therapy, results from other CABG studies 6,7,8,9,16 and 25 in patients with heart disease were background in all patients who received CABG. LDL-C levels may benefit from long-term statin therapy. Although some of these patients did not see immediate short-term benefit, this study did not examine the long-term outcomes and future cardiovascular events of MACE. This group of patients may also benefit from a reduction in long-term MACE with statin therapy despite low preoperative LDL-C levels.
