Annals of medicine
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Artificial intelligence (AI) shows promise for evaluating solitary pulmonary nodules (SPNs) on computed tomography (CT). Accurately determining cancer invasiveness can guide treatment. We aimed to investigate quantitative CT parameters for invasiveness prediction. ⋯ Quantitative CT measures and nodule type correlated with invasiveness. Software-based CT assessment shows potential for noninvasive prediction to guide extent of resection. Further prospective validation is needed, including comparison with benign nodules.
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Detection and diagnosis of Chlamydia psittaci (C. psittaci) pneumonia is often overlooked due to conventional methods limitations and similarity to other atypical community acquired pneumonia (CAP). Using mNGS, we aimed to distinguish psittacosis from legionellosis for early C. psittaci pneumonia diagnosis and better prognosis. ⋯ Early mNGS detection of atypical pathogens in multiple samples improves on traditional methods, promptly adjust empirical antimicrobial treatment to pathogen-targeted antibiotics, further improve prognosis.
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Little is known about the underlying factors contributing to unfavourable clinical outcomes in patients with diabetes mellitus (DM) complicated by new-onset acute myocardial infarction (AMI). The aim of this study was to investigate the impact of DM on the pathophysiologic features and prognosis of patients with new-onset AMI following successful revascularization by utilizing cardiac magnetic resonance (CMR). ⋯ Comprehensive phenotypic characterization of myocardial injury and microcirculatory status could enable reliable identification of high-risk MACCEs in DM patients with new-onset AMI following successful revascularization.
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There has been an alarming surge in the usage of social networking sites (SNSs) by healthcare professionals (HCPs) without adherence to the principles of professionalism. The widespread use of SNSs in medical practices has been coupled with reports of breaches of professional behaviors. Despite the benefits of SNSs, skepticism prevails about a clearly defined role for SNSs within medicine based upon the core principles of professionalism. Thus, there is a need to understand the manifestations of professionalism in the digital context, classically known as e-professionalism. This study systematically examines HCPs' perceptions of e-professionalism to advance a thorough understanding of e-professionalism. ⋯ This study identifies a scarcity of research about the collective perspective of essential stakeholders, underpinning the need to further explore e-professionalism due to its emerging complex nature within the digital context. There is also a recognition that a framework is essential to guide future HCPs to yield a profound understanding and to provide remediation strategies in the rapidly advancing medical field in digital realm.
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Tuberculosis (TB) is a chronic infectious disease caused by Mycobacterium tuberculosis (Mtb), which threatens human health and safety all over the world. Hundreds of thousands of people die from TB every year. Timely early diagnosis and treatment of patients is the most important measure to control the source of infection and curb the epidemic of tuberculosis. ⋯ Through the analysis of ceRNA regulatory network, it was found that circRNA could competitively bind has-miR-607 and induce down-regulation of has-miR-607, thereby inhibiting the expression of IFNG. The hsa_circ_0000566, hsa_circ_0001844, hsa_circ_0005408, hsa_circ_0007587, hsa_circ_0086710, IFNG and has-miR-607 couble be used as new diagnostic targets for TB. The results of this study not only provide a new perspective for studying the potential role of ceRNA regulatory network in tuberculosis, but also provide a new target and method for the diagnosis of tuberculosis.