8 research outputs found

    Longitudinal Modeling Of Early Hiv Burden In The Central Nervous System

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    The dynamics of plasma HIV replication during early infection including establishment of a viral set-point are well-known. However, the course of HIV in the central nervous system (CNS) after initial entry of HIV into this compartment is less understood. Using longitudinal samples, we modeled the natural history of HIV RNA in the cerebrospinal fluid (CSF) and plasma during early HIV prior to initiation of antiretroviral treatment (ART). Participants with primary HIV infection (PHI, within 12 months of initial infection) were enrolled in prospective studies with paired longitudinal sampling of blood and CSF conducted in San Francisco, USA, and Gothenburg, Sweden prior to test-and-treat guidelines. This analysis incorporated all samples available over the first 3 years of infection from visits where participants were ART-naïve. HIV RNA assays had a lower limit of quantification of 40 copies per mL. Mean trajectory of CSF HIV RNA levels relative to time from infection was characterized using a restricted cubic spline function of time accounting for the correlated data within subjects. Parametric linear mixed effects models (LME) were also estimated to account for the covariate CD4/CD8 ratio and to confirm results from the spline analysis. The final analytical cohort included 110 PHI participants (95% male, median age = 37, days post infection = 91 at enrollment) with 228 CSF and 247 plasma measurements. The model shows an initial decrease in CSF HIV RNA over the first 100 days of estimated infection, after which CSF HIV RNA begins to increase at a slow rate. Similar trends were seen in the plasma model, but at higher absolute values of HIV RNA copies/mL and with a narrower confidence interval compared to CSF. Plasma-CSF viral load difference declined rapidly in the first 100 days of infection. We confirmed the mean trajectory of change in HIV RNA derived from the cubic splines approach using the parametric LME model. Blood CD4/CD8 ratio negatively correlated with CSF HIV RNA, as there was a 0.69 unit decrease in log10(CSF HIV RNA) for each unit increase in the CD4/CD8 ratio (p = 0.0005). The viral dynamics in the CSF of ART-naïve individuals over the first 36 months of infection support the early spread of HIV to the CNS, and indicate that HIV replication is maintained in this compartment throughout the course of early infection prior to ART. Early initiation of ART may limit nervous system exposure to pathogenic effects of viral replication

    Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes

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    PURPOSE: The medical literature relevant to germline genetics is growing exponentially. Clinicians need tools monitoring and prioritizing the literature to understand the clinical implications of the pathogenic genetic variants. We developed and evaluated two machine learning models to classify abstracts as relevant to the penetrance (risk of cancer for germline mutation carriers) or prevalence of germline genetic mutations. METHODS: We conducted literature searches in PubMed and retrieved paper titles and abstracts to create an annotated dataset for training and evaluating the two machine learning classification models. Our first model is a support vector machine (SVM) which learns a linear decision rule based on the bag-of-ngrams representation of each title and abstract. Our second model is a convolutional neural network (CNN) which learns a complex nonlinear decision rule based on the raw title and abstract. We evaluated the performance of the two models on the classification of papers as relevant to penetrance or prevalence. RESULTS: For penetrance classification, we annotated 3740 paper titles and abstracts and used 60% for training the model, 20% for tuning the model, and 20% for evaluating the model. The SVM model achieves 89.53% accuracy (percentage of papers that were correctly classified) while the CNN model achieves 88.95 % accuracy. For prevalence classification, we annotated 3753 paper titles and abstracts. The SVM model achieves 89.14% accuracy while the CNN model achieves 89.13 % accuracy. CONCLUSION: Our models achieve high accuracy in classifying abstracts as relevant to penetrance or prevalence. By facilitating literature review, this tool could help clinicians and researchers keep abreast of the burgeoning knowledge of gene-cancer associations and keep the knowledge bases for clinical decision support tools up to date

    Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study

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    Funder: European Society of Intensive Care Medicine; doi: http://dx.doi.org/10.13039/501100013347Funder: Flemish Society for Critical Care NursesAbstract: Purpose: Intensive care unit (ICU) patients are particularly susceptible to developing pressure injuries. Epidemiologic data is however unavailable. We aimed to provide an international picture of the extent of pressure injuries and factors associated with ICU-acquired pressure injuries in adult ICU patients. Methods: International 1-day point-prevalence study; follow-up for outcome assessment until hospital discharge (maximum 12 weeks). Factors associated with ICU-acquired pressure injury and hospital mortality were assessed by generalised linear mixed-effects regression analysis. Results: Data from 13,254 patients in 1117 ICUs (90 countries) revealed 6747 pressure injuries; 3997 (59.2%) were ICU-acquired. Overall prevalence was 26.6% (95% confidence interval [CI] 25.9–27.3). ICU-acquired prevalence was 16.2% (95% CI 15.6–16.8). Sacrum (37%) and heels (19.5%) were most affected. Factors independently associated with ICU-acquired pressure injuries were older age, male sex, being underweight, emergency surgery, higher Simplified Acute Physiology Score II, Braden score 3 days, comorbidities (chronic obstructive pulmonary disease, immunodeficiency), organ support (renal replacement, mechanical ventilation on ICU admission), and being in a low or lower-middle income-economy. Gradually increasing associations with mortality were identified for increasing severity of pressure injury: stage I (odds ratio [OR] 1.5; 95% CI 1.2–1.8), stage II (OR 1.6; 95% CI 1.4–1.9), and stage III or worse (OR 2.8; 95% CI 2.3–3.3). Conclusion: Pressure injuries are common in adult ICU patients. ICU-acquired pressure injuries are associated with mainly intrinsic factors and mortality. Optimal care standards, increased awareness, appropriate resource allocation, and further research into optimal prevention are pivotal to tackle this important patient safety threat

    Correction to: Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study (Intensive Care Medicine, (2021), 47, 2, (160-169), 10.1007/s00134-020-06234-9)

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    The original version of this article unfortunately contained a mistake. The members of the ESICM Trials Group Collaborators were not shown in the article but only in the ESM. The full list of collaborators is shown below. The original article has been corrected
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