13 research outputs found

    Posterior reversible encephalopathy syndrome in an AIDS patient with acute renal failure and hypertension

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    Introduction: The posterior reversible encephalopathy syndrome (PRES) is a neurological entity characterized by magnetic resonance imaging (MRI) evidence of bilateral subcortical edema in the occipital regions of the brain. Case report: We report the case of a female patient with AIDS, pulmonary aspergillosis, CMV infection, and acute renal failure due to Clostridium difficile diarrhea. Her clinical course was complicated by seizures and hypertension. MRI findings were consistent with PRES. The patient was treated with anticonvulsants and antihypertensive agents with clinical improvement. Discussion and conclusions: Few cases of PRES in HIV-infected patients have been described, and it is not clear whether HIV infection is a predisposing factor for this syndrome. The article reviews the literature on PRES in HIV and discusses the role of HIV-associated endothelial damage in the pathogenesis of this syndrome

    Metabolomics Diagnosis of COVID-19 from Exhaled Breath Condensate

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    Infection from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can lead to severe respiratory tract damage and acute lung injury. Therefore, it is crucial to study breath-associated biofluids not only to investigate the breath’s biochemical changes caused by SARS-CoV-2 infection, but also to discover potential biomarkers for the development of new diagnostic tools. In the present study, we performed an untargeted metabolomics approach using a bidimensional gas chromatography mass spectrometer (GCxGC-TOFMS) on exhaled breath condensate (EBC) from COVID-19 patients and negative healthy subjects to identify new potential biomarkers for the noninvasive diagnosis and monitoring of the COVID-19 disease. The EBC analysis was further performed in patients with acute or acute-on-chronic cardiopulmonary edema (CPE) to assess the reliability of the identified biomarkers. Our findings demonstrated that an abundance of EBC fatty acids can be used to discriminate COVID-19 patients and that they may have a protective effect, thus suggesting their potential use as a preventive strategy against the infection

    Nestin as a Diagnostic and Prognostic Marker for Combined Hepatocellular-Cholangiocarcinoma.

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    International audienceBACKGROUND AND AIMS: Combined Hepatocellular-Cholangiocarcinoma (cHCC-CCA) is a rare primary liver cancer (PLC) associated with a poor prognosis. Given the challenges in its identification and its clinical implications, biomarkers are critically needed. We aimed to investigate the diagnostic and prognostic value of the immunohistochemical expression of Nestin, a progenitor cell marker, in a large multicentric series of PLC. METHODS: We collected 461 cHCC-CCA samples from 32 different clinical centers. Control cases included 368 hepatocellular carcinomas (HCC) and 221 intrahepatic cholangiocarcinomas (ICCA). Nestin immunohistochemistry was performed on whole tumor sections. Diagnostic and prognostic performances of Nestin expression were determined using receiver operating characteristic curves and cox regression modeling. RESULTS: Nestin was able to distinguish cHCC-CCA from HCC with AUC of 0.85 and 0.86 on surgical and biopsy samples, respectively. Performance was lower for the distinction of cHCC-CCA from ICCA (AUC of 0.59 and 0.60). Nestin, however, showed a high prognostic value, allowing identification of the subset of cHCC-CCA ("Nestin High", >30% neoplastic cells with positive staining) associated with the worst clinical outcome (shorter disease-free and overall survival) after surgical resection and liver transplantation, as well as when assessment was performed on biopsies. CONCLUSION: We show in different clinical settings that Nestin has a diagnostic value and that it is a useful biomarker to identify the subset of cHCC-CCA associated with the worst clinical outcome. Nestin immunohistochemistry may be used to refine risk stratification and improve treatment allocation for patients with this highly aggressive malignancy. LAY SUMMARY: Combined Hepatocellular-Cholangiocarcinoma (cHCC-CCA) is a rare primary liver cancer (PLC) that lacks robust tissue biomarkers. We show in different clinical settings that Nestin immunohistochemical staining has a diagnostic value and is a useful biomarker to identify the subset of cHCC-CCA associated with the worst clinical outcome. Nestin immunohistochemistry may be used to refine risk stratification and improve treatment allocation for patients with this highly aggressive malignancy

    Deep learning-based phenotyping reclassifies combined hepatocellular-cholangiocarcinoma

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    International audienceAbstract Primary liver cancer arises either from hepatocytic or biliary lineage cells, giving rise to hepatocellular carcinoma (HCC) or intrahepatic cholangiocarcinoma (ICCA). Combined hepatocellular- cholangiocarcinomas (cHCC-CCA) exhibit equivocal or mixed features of both, causing diagnostic uncertainty and difficulty in determining proper management. Here, we perform a comprehensive deep learning-based phenotyping of multiple cohorts of patients. We show that deep learning can reproduce the diagnosis of HCC vs. CCA with a high performance. We analyze a series of 405 cHCC-CCA patients and demonstrate that the model can reclassify the tumors as HCC or ICCA, and that the predictions are consistent with clinical outcomes, genetic alterations and in situ spatial gene expression profiling. This type of approach could improve treatment decisions and ultimately clinical outcome for patients with rare and biphenotypic cancers such as cHCC-CCA

    The role of baseline HIV-1 RNA, drug resistance, and regimen type as determinants of response to first-line antiretroviral therapy

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    The factors influencing virological response to first-line combined antiretroviral therapy (cART) in an Italian cohort of HIV-1-infected patients were examined. Eligible patients were those enrolled in a national prospective observational cohort (Antiretroviral Resistance Cohort Analysis), starting first-line cART between 2001 and 2011 and who had at least one follow-up of HIV-1 RNA. The primary endpoint was virological success, defined as the first viral load 100,000 copies/ml, virologic success was only associated with the use of integrase inhibitors in the first cART regimen. Independent predictors of immunological success were baseline CD4+ cell count and wGSS <3. High baseline HIV-1 RNA, predicted activity of the first-line regimen based on genotypic resistance testing, gender, and use of new agents were found to predict time to achieve virological success. The type of initial nucleoside analog backbone was not found to predict virological response
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