6 research outputs found

    RegaDB: community-driven data management and analysis for infectious diseases

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    SUMMARY: RegaDB is a free and open source data management and analysis environment for infectious diseases. RegaDB allows clinicians to store, manage and analyse patient data, including viral genetic sequences. Moreover, RegaDB provides researchers with a mechanism to collect data in a uniform format and offers them a canvas to make newly developed bioinformatics tools available to clinicians and virologists through a user friendly interface.Availability and implementation: Source code, binaries and documentation are available on http://rega.kuleuven.be/cev/regadb. RegaDB is written in the Java programming language, using a web-service-oriented architecture. CONTACT: [email protected]: publishe

    Predictability of adverse outcomes in hypertensive disorders of pregnancy: a multicenter prospective cohort study

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    Objectives To explore variables associated with adverse maternal/fetal/neonatal outcomes among pregnant/postpartum patients admitted to ICU for hypertensive disorders of pregnancy (HDP). Methods Multicenter, prospective, national cohort study. Results Variables independently associated with maternal/fetal/neonatal mortality among 172 patients were as follows: Acute Physiology and Chronic Health Evaluation-II (APACHE-II)(OR1.20[1.06–1.35]), gestational age (OR0.698[0.59–0.82]) and aspartate aminotransferase (AST)(OR1.004[1.001–1.006]). Positive likelihood ratio for headache, epigastric pain, and visual disturbances to predict composite adverse outcomes were 1.23(1.16–1.30), 0.76(0.59–1.02), and 1.1(0.98–1.2), respectively. Conclusions Maternal/fetal mortality due to HDP was independently associated with severity of illness on admission, gestational age, and elevated AST. Accuracy of clinical symptoms to predict composite adverse outcomes was low

    Prediction of long-term outcomes of HIV-infected patients developing non-AIDS events using a multistate approach

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    <div><p>Objetives</p><p>Outcomes of people living with HIV (PLWH) developing non-AIDS events (NAEs) remain poorly defined. We aimed to classify NAEs according to severity, and to describe clinical outcomes and prognostic factors after NAE occurrence using data from CoRIS, a large Spanish HIV cohort from 2004 to 2013.</p><p>Design</p><p>Prospective multicenter cohort study.</p><p>Methods</p><p>Using a multistate approach we estimated 3 transition probabilities: from alive and NAE-free to alive and NAE-experienced (“NAE development”); from alive and NAE-experienced to death (“Death after NAE”); and from alive and NAE-free to death (“Death without NAE”). We analyzed the effect of different covariates, including demographic, immunologic and virologic data, on death or NAE development, based on estimates of hazard ratios (HR). We focused on the transition “Death after NAE”.</p><p>Results</p><p>8,789 PLWH were followed-up until death, cohort censoring or loss to follow-up. 792 first incident NAEs occurred in 9.01% PLWH (incidence rate 28.76; 95% confidence interval [CI], 26.80–30.84, per 1000 patient-years). 112 (14.14%) NAE-experienced PLWH and 240 (2.73%) NAE-free PLWH died. Adjusted HR for the transition “Death after NAE” was 12.1 (95%CI, 4.90–29.89). There was a graded increase in the adjusted HRs for mortality according to NAE severity category: HR (95%CI), 4.02 (2.45–6.57) for intermediate-severity; and 9.85 (5.45–17.81) for serious NAEs compared to low-severity NAEs. Male sex (HR 2.04; 95% CI, 1.11–3.84), age>50 years (1.78, 1.08–2.94), hepatitis C-coinfection (2.52, 1.38–4.61), lower CD4 cell count at cohort entry (HR 2.49; 95%CI 1.20–5.14 for CD4 cell count below 200 and HR 2.16; 95%CI 1.01–4.66 for CD4 cell count between 200–350, both compared to CD4 cell count higher than 500) and concomitant CD4<200 cells/mL (2.22, 1.42–3.44) were associated with death after NAE. CD4 count and HIV-1 RNA at engagement, previous AIDS and hepatitis C-coinfection predicted mortality in NAE-free persons.</p><p>Conclusion</p><p>NAEs, including low-severity events, increase prominently the risk for mortality in PLWH. Prognostic factors differ between NAE-experienced and NAE-free persons. These findings should be taken into account in the clinical management of PLWH developing NAEs and may permit more targeted prevention efforts.</p></div
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