Journal of investigative medicine : the official publication of the American Federation for Clinical Research
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To provide a foundation for mentoring, junior faculty participated in a mentor training workshop informed by the Mentoring Clinical and Translational Researchers curriculum. The goal was to develop skills and behaviors that engender more rewarding and inclusive mentoring practices. Attendees responded to baseline and follow-up surveys assessing perceived mentoring skills. ⋯ An additional competency domain of evaluating mentoring relationships was also described. A mentor training workshop for junior faculty appeared to contribute to changes in mentoring skills and intended behaviors. Mentor training has the potential to enhance mentorship, which is critical to strengthening a diverse pipeline of clinical and translational science researchers.
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Predicting all-cause mortality using available or conveniently modifiable risk factors is potentially crucial in reducing deaths precisely and efficiently. Framingham risk score (FRS) is widely used in predicting cardiovascular diseases, and its conventional risk factors are closely pertinent to deaths. Machine learning is increasingly considered to improve the predicting performances by developing predictive models. ⋯ The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of the predictive models. The AUC and 95% confidence interval of the all-cause mortality prediction models developed by FRS conventional risk factors using five ML algorithms were 0.75 (0.726-0.772), 0.78 (0.755-0.799), 0.75 (0.731-0.777), 0.77 (0.747-0.792), and 0.78 (0.754-0.798), respectively, which is close to the AUC values of models established by all features (0.79 (0.769-0.812), 0.83 (0.807-0.848), 0.78 (0.753-0.798), 0.82 (0.796-0.838), and 0.85 (0.826-0.866), respectively). Therefore, we tentatively put forward that FRS conventional risk factors were potent to predict all-cause mortality using machine learning algorithms in the population over 40 years.
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This study aimed to investigate the prevalence of antibiotic resistance genes CTX-M and Qnr, as well as the virulence genes HlyA, Pap, CNF1, and Afa, in uropathogenic Escherichia coli (UPEC) isolates from the Egyptian population. In this cross-sectional study, a total of 50 E. coli isolates were collected from urine samples from patients with urinary tract infections (UTIs) admitted to Tanta University Hospital from December 2020 to November 2021. The isolates were cultured, identified, and tested for antibiotic susceptibility by the disc diffusion method. ⋯ In conclusion, the prevalence of virulence and antibiotic resistance genes varies by population. At our hospital, the Pap gene is the most prevalent virulence gene and was strongly associated with complicated UTIs, while the CTX-M and QnrS genes were the most prevalent and related to antibiotic resistance. Our findings, however, should be interpreted with caution due to the small sample size.
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Tumor growth pattern (TGP) and perineural invasion (PNI) at the invasive margin have been recognized as indicators of tumor invasiveness and prognostic events in colorectal cancer (CRC). This study aims to develop a scoring system incorporating TGP and PNI, and further investigate its prognostic significance for CRC risk stratification. A scoring system, termed tumor-invasion score, was established by summing TGP and PNI scores. ⋯ The model combining tumor-invasion score and clinicopathologic information showed good discrimination performance than single predictors. TGP and PNI were associated with tumor invasiveness and survival in CRC. The tumor-invasion score generated by TGP and PNI scores served as an independent prognostic parameter of DFS and OS for CRC patients.
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The effect of over- and undertreatment of hypothyroidism on hospitalization outcomes of patients with acute decompensated heart failure (HF) has not been evaluated yet. We conducted retrospective cohort analyses of outcomes among 231 consecutive patients with treated hypothyroidism who were admitted to internal medicine departments of Shamir Medical Center with HF (2011-2019). Patients were divided into three groups according to their thyroid-stimulating hormone (TSH) levels: well treated (TSH: 0.4-4 mIU/L), overtreated (TSH: <0.4 mIU/L), and undertreated (TSH: >4 mIU/L). ⋯ Treatment status was independently associated with 90-day mortality after controlling for confounders with an adjusted odds ratio of 3.55 (95% confidence interval: 1.39-9.06). Although mild under- or overtreatment of hypothyroidism does not have a significant detrimental effect on hospitalization outcomes of patients with acute decompensated HF, markedly under- and overtreatment are independently associated with rehospitalizations and 90-day mortality. Larger cohorts are needed to establish the relationship between treatment targets and hospitalization outcomes of patients at risk for HF hospitalization.