Postgraduate Medical Journal最新文献

Clinical reasoning is a crucial skill and defining characteristic of the medical profession, which relates to intricate cognitive and decision-making processes that are needed to solve real-world clinical problems. However, much of our current competency-based medical education systems have focused on imparting swathes of content knowledge and skills to our medical trainees, without an adequate emphasis on strengthening the cognitive schema and psychological processes that govern actual decision-making in clinical environments. Nonetheless, flawed clinical reasoning has serious repercussions on patient care, as it is associated with diagnostic errors, inappropriate investigations, and incongruent or suboptimal management plans that can result in significant morbidity and even mortality. In this article, we discuss the psychological constructs of clinical reasoning in the form of cognitive 'thought processing' models and real-world contextual or emotional influences on clinical decision-making. In addition, we propose practical strategies, including pedagogical development of a personal cognitive schema, mitigating strategies to combat cognitive bias and flawed reasoning, and emotional regulation and self-care techniques, which can be adopted in medical training to optimize physicians' clinical reasoning in real-world practice that effectively translates learnt knowledge and skill sets into good decisions and outcomes.

Background: In recent years, triglyceride glucose (TyG) index, as a popular metabolic index, has been proposed as an alternative index of insulin resistance, and it has been proved to be associated with many cardiovascular diseases, but the relationship between it and aortic valve calcification is still unknown.

Methods: A total of 450 aortic valve disease patients were enrolled in this study, including 361 patients with aortic valve calcification (AVC) (calcification group) and 89 patients without (control group). According to the severity of AVC, patients with AVC included severe calcification, moderate calcification and low calcification. The TyG index was calculated based on fasting triglyceride and fasting blood glucose levels.

Results: The TyG index in the calcification group was significantly higher than that in the control group (P < .05), and with the increase of the degree of calcification, the TyG index showed an increasing trend. The univariate and multivariate logistic regression analysis showed TyG index has a high predictive value for the presence of AVC (OR (95% CI): 1.743 (1.036-2.933)) and severe AVC (OR (95% CI): 1.608 (1.143-2.262)). In assessing the predictive value of the TyG index distribution width for AVC, with the first quartile as a reference, the last quartile of the TyG index had significant predictive value for the presence of AVC and severe AVC.

Conclusions: TyG index was significantly associated with the presence and severity of AVC, suggesting that TyG index may be a valid predictor of AVC.

Background: Diabetes mellitus, as one of the world's fastest-growing diseases, is a chronic metabolic disease that has now become a public health problem worldwide. The purpose of this research was to develop a predictive nomogram model to demonstrate the risk of major amputation in patients with diabetic foot.

Methods: A total of 634 Type 2 Diabetes Mellitus (T2DM) patients with diabetic foot ulcer hospitalized at the Air Force Medical Center between January 2018 and December 2023 were included in our retrospective study. There were 468 males (73.82%) and 166 females (26.18%) with an average age of 61.64 ± 11.27 years and average body mass index of 24.45 ± 3.56 kg/m2. The predictive factors were evaluated by single factor logistic regression and multiple logistic regression and the predictive nomogram was established with these features. Receiver operating characteristic (subject working characteristic curve) and their area under the curve, calibration curve, and decision curve analysis of this major amputation nomogram were assessed. Model validation was performed by the internal validation set, and the receiver operating characteristic curve, calibration curve, and decision curve analysis were used to further evaluate the nomogram model performance and clinical usefulness.

Results: Predictors contained in this predictive model included body mass index, ulcer sites, hemoglobin, neutrophil-to-lymphocyte ratio, blood uric acid (BUA), and ejection fraction. Good discrimination with a C-index of 0.957 (95% CI, 0.931-0.983) in the training group and a C-index of 0.987 (95% CI, 0.969-1.000) in the validation cohort were showed with this predictive model. Good calibration were displayed. The decision curve analysis showed that using the nomogram prediction model in the training cohort and validation cohort would respectively have clinical benefits.

Conclusion: This new nomogram incorporating body mass index, ulcer sites, hemoglobin, neutrophil-to-lymphocyte ratio, BUA, and ejection fraction has good accuracy and good predictive value for predicting the risk of major amputation in patients with diabetic foot.

In "The Alternative Fairytale," I explore my journey as a cardiology registrar/fellow, a path influenced deeply by my early displacement from war-torn Sudan. This piece reflects on the interplay between my professional choices and personal identity amidst the backdrop of a male-dominated field and societal expectations. It examines how my roots in a family that once fled conflict have shaped my approach to medicine-emphasizing community, empathy, and a leadership style that diverges from traditional norms. Through this narrative, I aim to redefine and help others to reflect on what success looks like in cardiology and medicine; advocating for diversity in leadership styles and highlight the importance of personal background in shaping professional paths.

Purpose: To analyze the changes in the characteristics of randomized controlled trials (RCTs) in the field of scarring over the last two decades, unveil the components of research waste (RW) within these RCTs, and identify targets for improvement.

Methods: A search was conducted on ClinicalTrials.gov for RCTs registered from January 2000 to December 2023, using "scar" as the keyword. The search was carried out in January 2024.

Results: 391 RCTs were included in this analysis. The global registration of RCTs in scarring has exhibited a consistent increase annually, with the proportion in Asia gradually rising, while the shares in North America and Europe have demonstrated a declining trend. In the analysis of RW, 232 RCTs were included, of which 96 (41.4%) have been published. Among the published RCTs, 56 (58.3%) were evaluated to have sufficient reporting, while 47 RCTs (48.9%) were identified as having avoidable design flaws. Ultimately, 183 RCTs (78.9%) exhibited at least one form of RW. Multicenter design (OR: 3.324, 95%CI: 1.385-7.975, P = 0.018), non-pharmacological interventions (OR: 2.61, 95%CI: 1.253-5.435, P = 0.010), the absence of external funding (OR: 0.325, 95%CI: 0.144-0.732, P = 0.031), and participant numbers exceeding 50 (OR: 3.269, 95%CI: 1.573-6.794, P = 0.002) were identified as independent protective factors against waste.

Conclusions: This study delineates the changes in the characteristics of scar RCTs globally over the past two decades, uncovering a substantial burden of RW in scarring research. It provides an evidential reference for more rational planning of future scar-related RCTs and for minimizing RW.

Purpose: To investigate the phenotype of sarcoidosis according to the time when a malignancy is diagnosed (preexisting to the diagnosis of sarcoidosis, concomitant, or sequential) and to identify prognostic factors associated with malignancies in a large cohort of patients with sarcoidosis.

Methods: We searched for malignancies in the SARCOGEAS cohort, a multicenter nationwide database of consecutive patients diagnosed with sarcoidosis according to the ATS/ESC/WASOG criteria. Solid malignancies were classified using the International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10) nomenclature, and hematological malignancies using the 2016 WHO classification. We excluded patients with a biopsy-proven diagnosis of sarcoidosis based exclusively on demonstrating granulomas in tissues also involved by malignant cells.

Results: Out of 1942 patients with sarcoidosis, 233 (12%) developed 250 malignancies, including solid (n = 173), hematological (n = 57), and both types of malignancies (n = 3). Concerning the time interval between the diagnoses of both conditions, 83 (36%) patients were diagnosed with malignancy at least 1 year before sarcoidosis diagnosis, 22 (9%) had s synchronous diagnosis of both diseases, and 118 (51%) developed malignancies at least 1 year after the diagnosis of sarcoidosis (the remaining cases developed malignancies in different time intervals). The multivariate-adjusted model showed that individuals with sarcoidosis who developed a malignancy had an hazard ratio (HR) of 2.27 [95% confidence interval (CI), 1.62-3.17] for having an asymptomatic clinical phenotype at diagnosis of sarcoidosis and that spleen (presence vs. absence: HR = 2.06; 95% CI, 1.21-3.51) and bone marrow (presence vs. absence: HR = 3.04; 95% CI, 1.77-5.24) involvements were independent predictors for the development of all-type malignancies. No predictive factors were identified when the analysis was restricted to the development of solid malignancies. The analysis limited to the development of hematological malignancies confirmed the presence of involvement in the spleen (HR = 3.73; 95% CI, 1.38-10.06) and bone marrow (presence vs. absence: HR = 8.00; 95% CI, 3.15-20.35) at the time of sarcoidosis diagnosis as predictive factors.

Conclusion: It is essential to consider the synchronous or metachronous timing of the diagnosis of malignancies in people with sarcoidosis. We found that half of the malignancies were diagnosed after a diagnosis of sarcoidosis, with spleen and bone marrow involvement associated with a four to eight times higher risk of developing hematological malignancies. Key messages What is already known on this topic Malignancies are one of the comorbidities more frequently encountered in people with sarcoidosis What this study adds Malignancies occur in 12% of patients with sarcoidosis Malignancy may precede, coincid

Background: With the advent of artificial intelligence (AI) in healthcare, digital platforms like ChatGPT offer innovative alternatives to traditional medical consultations. This study seeks to understand the comparative outcomes of AI-assisted ChatGPT consultations and conventional face-to-face interactions among infertility patients.

Methods: A cross-sectional study was conducted involving 120 infertility patients, split evenly between those consulting via ChatGPT and traditional face-to-face methods. The primary outcomes assessed were patient satisfaction, understanding, and consultation duration. Secondary outcomes included demographic information, clinical history, and subsequent actions post-consultation.

Results: While both consultation methods had a median age of 34 years, patients using ChatGPT reported significantly higher satisfaction levels (median 4 out of 5) compared to face-to-face consultations (median 3 out of 5; p < 0.001). The ChatGPT group also experienced shorter consultation durations, with a median difference of 12.5 minutes (p < 0.001). However, understanding, demographic distributions, and subsequent actions post-consultation were comparable between the two groups.

Conclusions: AI-assisted ChatGPT consultations offer a promising alternative to traditional face-to-face consultations in assisted reproductive medicine. While patient satisfaction was higher and consultation durations were shorter with ChatGPT, further studies are required to understand the long-term implications and clinical outcomes associated with AI-driven medical consultations. Key Messages What is already known on this topic:  Artificial intelligence (AI) applications, such as ChatGPT, have shown potential in various healthcare settings, including primary care and mental health support. Infertility is a significant global health issue that requires extensive consultations, often facing challenges such as long waiting times and varied patient satisfaction. Previous studies suggest that AI can offer personalized care and immediate feedback, but its efficacy compared with traditional consultations in reproductive medicine was not well-studied. What this study adds:  This study demonstrates that AI-assisted ChatGPT consultations result in significantly higher patient satisfaction and shorter consultation durations compared with traditional face-to-face consultations among infertility patients. Both consultation methods were comparable in terms of patient understanding, demographic distributions, and subsequent actions postconsultation. How this study might affect research, practice, or policy:  The findings suggest that AI-driven consultations could serve as an effective and efficient alternative to traditional methods, potentially reducing consultation times and improving patient satisfaction in reproductive medicine. Further research could explore the long-term impacts