physicians

Background: Heart Failure with Preserved Ejection Fraction (HFPEF) accounts for more than half of the cases of heart failure.Long regarded as an abnormality of left ventricular diastolic function, recent studies using longitudinal strain (two-dimensional speckle tracking mode) have suggested that left ventricular longitudinal systolic function is altered in HFPEF.Despite these interesting pathophysiological perspectives, the data in the literature on the prognostic value of the alteration of longitudinal strain are controversial. Given these conflicting results, it is difficult to confirm the magnitude and prevalence of impaired LV longitudinal systolic function in patients with HFPEF and its prognostic relevance. Purposes: This work aims to study the prognostic value of Global the left ventricle’s Global Longitudinal Strain (GLS) Algerian cohort of patients with HFPEF. Patients and methods: We conducted a monocentric prospective observational study from April 2018 to April 2020, with a minimum follow-up of 1 year for each recruited patient. We included patients over the age of 18 referred to the echocardiography laboratory for chronic or acute HFpEF, defined according to the criteria of ESC 2016. 153 consecutive patients underwent clinical examination, biological tests, and echocardiography with measurement of GLS at rest, in addition to routine management by the attending physicians.Results: 153 patients were collected. The average age of our patients is 73 +/- 11 years ranging from 42 to 91 years old. The female population is predominant with a rate of 67%. Comorbidities are predominant mainly by arterial hypertension (86%) and diabetes (64%), with a history of atrial fibrillation (46%).63% of patients have impaired GLS (< 16%). Contrary to our hypothesis, GLS was not shown to be a powerful predictor of cardiovascular events in HFPEF patients either in dichotomous analysis (OR = 0.79; p = 0.64) or in continuous analysis (OR = 0.97; p = 0.69).We were able to identify that congestive venous signs, anemia, and pulmonary hypertension, are the main independent prognostic factors in our Algerian population study. Conclusion: We were unable to demonstrate the prognostic role of mpaired GLS in our population of patients with HFPEF.

Chronic foot and heel pain is a clinical dilemma that Pain Physicians often encounter in their daily practice. In the younger active patients, this is often attributed to plantar fasciitis but other rarer etiologies should also be considered. In patients who present with pain over the medial calcaneus, entrapment neuropathy of the inferior calcaneal nerve, the first branch of the lateral plantar nerve (FBLPN), also known as “Baxter’s nerve” must be considered [1,2]. Initially described in 1984 by Baxter and Thigpen, it is often overlooked as a cause of medial heel pain, particularly in athletes, where it may coexist with plantar fasciitis [3]. The nerve has a tortuous course in the foot and can be entrapped as it passes through the fascia of the abductor hallucis, travels in close proximity to a plantar spur or the medial calcaneal tuberosity, or gets enmeshed in scar tissue from prior surgery [1,3].

A 25 years old pregnant woman had a painful labor in her 38th week of pregnancy. Because of a previous delivery by a cesarean section, she underwent a second cesarean section. Her past medical and family history was unimportant. We performed the surgery under spinal anesthesia. The surgery was uneventful and the baby was in a good health. After 9 hours of surgery, she complained of painless swelling in the parotid glands. Physical examination and laboratories were normal. We started rehydration with normal saline and one dose of hydrocortisone (100 mg IV route). Close monitoring showed no problems in swallowing or any purulent discharge. Two days later, we had a complete resolution of the swelling. We discharged the woman with her child with no complaints. Our case is one of the rare cases of anesthesia mumps after spinal anesthesia. Physicians should be careful in considering such rare cases. Early diagnosis and management is the key.

Coronavirus disease (COVID-19) is a viral pneumonia that is found in China and has spread globally. Early diagnosis is important for effective and timely treatment. Thus, many ongoing studies attempt to solve key COVID-19 problems such as workload classification, detection, and differentiation from other pneumonia and healthy lungs using different imaging modalities. Researchers have identified some limitations in the deployment of deep learning methods to detect COVID-19, but there are still unmet challenges to be addressed. The use of binary classifiers or building classifiers based on only a few classes is some of the limitations that most of the existing research on the COVID-19 classification problem suffers from. Additionally, most prior studies have focused on model or ensemble models that depend on a flat single-feature imaging modality without using any clinical information or benefiting from the hierarchical structure of pneumonia, which leads to clinical challenges, and evaluated their systems using a small public dataset. Additionally, reliance on diagnostic processes based on CT as the main imaging modality, ignoring chest X-rays. Radiologists, computer scientists, and physicians all need to come to an understanding of these interdisciplinary issues. This article first highlights the challenges of deep learning deployment for COVID-19 detection using a literature review and document analysis. Second, it provides six key recommendations that could assist future researchers in this field in improving the diagnostic process for COVID-19. However, there is a need for a collective effort from all of them to consider the provided recommendations to effectively solve these issues.

Background: Inflammatory bowel disease (IBD) is characterized by non-specific chronic relapsing inflammation of the gastrointestinal tract and extra-intestinal manifestations. It includes Crohn’s disease (CD) ulcerative colitis (UC) and unclassified colitis.Objective: To assess the clinical presentations and management of inflammatory bowel disease in Sudanese patients.Methodology: Prospective, cross-section hospital-based study was conducted at Soba University Hospital (SUH) and Ibn Sina Hospital, in a period from December 2016 to March 2017. Data was entered and analyzed with SPSS, an interview questionnaire containing demographic, clinical, type of IBD, treatment, and complications.Results: A total of 64 IBD patients were included, 50% were diagnosed with UC, 28.1% with CD and 21.9% unclassified type. The most frequent age in UC patients was 41 – 50 years 34.4%, in CD was 31- 40 years 38.9% and for the unclassified type was 51 – 70 years 57.2%. The female was higher in CD while males were higher in Ulcerative colitis disease, symptoms were diarrhea, rectal bleeding, abdominal pain, rectal pain, tenesmus and fatigue. Study participants received 5 amino salicylic acid, and steroids, especially in the oral formulation. Minimal usage of topical forms, azathioprine, and biological agents. Conclusion: The study concluded UC is more common than CD. This should be taken into account as an important update for internal medicine professionals to adjust their expectations and lines of diagnosis, and management. The emergence of the unclassified type in Sudan requires good communication between the pathologists and the physicians and MDT meetings in every patient with suspicion of IBD.

Introduction: Treatment failure and claims against physicians may have many negative consequences. Orthopedic surgeons have always been among the most used specialists. Therefore, the investigation of causes and the process of these claims can help reduce the negative effects of medical malpractice on physicians and society.Materials and methods: This retrospective study investigated all medical orthopedic negligence cases in Sari, Iran, from March 2015 to March 2020. Data were collected using a researcher-made checklist and analyzed in SPSS software (V-21).Results: Out of 57 finalized cases investigated in this study, surgeons were found liable in 23 (40%) cases. The mean ± SD age of patients was 41 ± 19.3. Moreover, the level of education had a positive correlation with the surgeon’s liability. The most common cause of complaint was reduced Range of motion (ROM) and the most common type of complained surgery was “open reduction & internal fixation” (ORIF). None of the surgeons were found liable due to surgical site infection or device failure. The mean ± SD time for the file processing was 11.1 ± 10.1 months. The mean indemnity payment was 320 million Iranian Rials (9.7% of indemnity for death in Iran).Conclusion: The most effective way to reduce medical complaint cases is to increase the knowledge and skill levels of physicians. The lack of a blinded arbitration system in both organizations could lead to bias in the case assessment process. Moreover, considering the long processing time of the claims, it is recommended that new technologies should be used to reduce the time and increase the accuracy of the final verdict. The absence of a ‘no-fault’ compensation program is a significant flaw in Iran violating patients’ rights. Also, more studies are needed to evaluate justice and equality in Iranian medical commissions.

The Canadian healthcare system, grappling with issues like systemic and intelligently established structural anti-black racism, including indigenous nations; even within Pathology and Laboratory Medicine Communities: and deteriorating outcomes, sees potential in AI to address challenges, though concerns exist regarding exacerbating discriminatory practices. In clinical pathology, AI demonstrates superior diagnostic accuracy compared to pathologists in a study, emphasizing its potential to improve healthcare. However, AI governance is crucial to navigating ethical, legal, and societal concerns. The Royal College of Physicians of Canada acknowledges the transformative impact of AI in healthcare but stresses the need for responsible AI tools co-developed by diverse teams. Despite positive attitudes towards AI in healthcare, concerns about patient safety, privacy, and autonomy highlight the necessity for comprehensive education, engagement, and collaboration. Legal concerns, including liability and regulation, pose challenges, emphasizing the need for a robust regulatory framework. AI application in healthcare is categorized as high-risk, demanding stringent regulation to ensure safety, efficacy, and fairness. A parallel is drawn to drug regulation processes, suggesting a similar approach for AI. The lack of transparency in AI-based decision-making raises ethical questions, necessitating measures to address biases and ensure patient privacy. Social accountability is crucial to prevent AI from exacerbating health disparities and harming marginalized communities. In conclusion, while AI offers potential benefits in clinical pathology, a cautious approach with comprehensive governance measures is essential to mitigate risks and ensure ethical AI integration into healthcare.

There are a number of key issues that matter to patients and General Physicians (GPs) in the primary care treatment system for severe depression. Patient and doctor narratives can contribute by highlighting these key issues. Various systems are employed in treating severe depression. However, there needs to be an investigation using systems failure methodology and how this methodology is applied which can help identify how and why the NHS treatment system for severe depression can fail patients in terms of provision of effective care.

The psychological burden of physicians has been the focus of many researchers since the 1950s, and some papers have found a high prevalence of anxiety and depressive disorders among medical staff. Recent studies have shown that the coronavirus pandemic didn’t go easy on healthcare workers. The fact that it has been three years since the outbreak, has motivated our study. Which aims to evaluate the intensity of anxiety among medical personnel and the risk factors that could be incriminated post-COVID pandemic and if the level of anxiety is back to normal. This is a cross-sectional study, carried out with a survey split into 2 parts sociodemographic and work-related data, and the French version of the Hamilton anxiety scale, Statistical analysis was performed using Jamovi et Microsoft Excel. About half of the 116 physicians in our study had no anxiety (55.2%), while 21.6% had mild anxiety, 10.3% had moderate anxiety, and 12.9% had severe anxiety. The identified risk factors for anxiety were female gender, personal and family history of anxiety disorder, doing night shifts, and being a general practitioner. The anxiety rate of physicians is back to normal post-COVID pandemic. But we shouldn’t stop there. The mental health status of medical personnel depends on several of the factors listed above. Determining them would imply a call for the implementation of preventive measures for anxiety and depressive disorders among physicians. Because taking care of physicians is taking care of patients.

Purpose: American expert consensus publications recommend discontinuation of antiplatelet agents 6 to 12 months after Percutaneous Coronary Intervention (PCI) in patients with Atrial Fibrillation (AF) who require chronic anticoagulation, and use of oral anticoagulant monotherapy thereafter. This study aimed to assess real-world long-term antithrombotic therapy management practices and factors associated with the continuation of antiplatelet agents past 12 months post-PCI in patients with AF requiring chronic anticoagulation. Methods: Patients with AF and a history of PCI greater than 12 months before their most recent encounter with physicians at an outpatient electrophysiology clinic were identified by chart review. Patient demographics, clinical characteristics, and current antithrombotic regimen were collected from encounters that occurred between July 2019 and June 2022. The independent predictive factors associated with the continuation of antiplatelet agents were identified using univariate and regression analyses. Results: Out of 66 patients, 67% continued antiplatelet therapy for greater than 12 months post-PCI. Patients on antiplatelets were significantly less likely to have bare metal stents (p = 0.006), be greater than five years post-PCI (p = 0.002), and have a HASBLED score of two or less (p = 0.028) when compared to patients on oral anticoagulant monotherapy. Bare metal stent history (p = 0.045) and HASBLED score of two or less (p = 0.016) were also significant in regression analysis.Conclusion: This study found that most patients with AF and a history of PCI continued antiplatelet therapy longer than 12 months post-PCI, often despite the high bleeding risk.

Euthanasia has long been a contentious topic. Societal acceptance and legalization of euthanasia have increased over the past decades but still lag behind that of physician-assisted suicide (PAS). Euphemisms such as “death with dignity” have facilitated the integration of PAS into end-of-life discussions with reduced stigma. We hypothesize that the persistent use of the term “euthanasia” hinders open, compassionate communication about this practice, particularly among healthcare professionals who adhere to the ethical principle of nonmaleficence. To address this issue, we propose the adoption of euphemisms, such as “eumori,” meaning “good death,” similar to the terminology used in (PAS). These proposed terms mitigate the negative connotations associated with euthanasia. This approach serves as an initial yet significant step toward reframing euthanasia within the context of end-of-life care. Further research and dialogue are essential to explore and address other barriers to broader acceptance of euthanasia as a viable end-of-life option.

The limits of classical equivalent computation based on time, dose, and fractionation (TDF) and linear quadratic models have been known for a long time. Medical physicists and physicians are required to provide fast and reliable interpretations regarding the delivered doses or any future prescriptions relating to treatment changes. In this letter, we propose an outline related to the different models usable for equivalent and biological doses that are likely to be the most appropriate. The used methodology is based on: the linear-quadratic-linear model of Astrahan, the repopulation effects of Dale, and the prediction of multi-fractionated treatments of Thames.