12 research outputs found

    Systemic inflammatory response syndrome and sepsis – epidemiology, differentiation, diagnostics in in clinical practice

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    Bacterial infection is an important factor causing morbidity and mortality in different populations. Every time exacerbation of infectious response (strength, time of symptom severity, time of progression) and whole cascade of inflammatory reaction is dependent on the efficiency of the organism’s homeostasis. In many situations, especially in case of patients with a decrease level of immune system efficiency, we observe very dynamic intensification of infection and inflammation symptoms. Every time the inflammatory response affect whole body functions and manifests itself in change of biochemical, hematological, and immunological parameters. Those changes are visible specially during systemic inflammatory response. SIRS (systematic inflammatory response syndrome) and sepsis with high levels of incidence and mortality from many years it is a the large diagnostic and therapeutic problem in clinical practice. Annual mortality caused by sepsis which reaches 30 and 50 deaths per 100 000 population, makes it classified as one of a top causes of death among patients under hospital care. Due to its dynamic nature of its course, it is necessary to thoroughly understand its course which may contribute to the search for more effective biochemical and hematological diagnostic markers which will allow to shorten the time of implementation of effective therapy and decrease mortality. The aim of this study was to present the specifity of a SIRS and sepsis and to show its progression, complications and available tools and methods of its diagnosis in clinical practice

    The spectrum of malignancies among adult HIV cohort in Poland between 1995 and 2012 : a retrospective analysis of 288 cases

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    THE AIM OF THE STUDY: The aim of the study was to evaluate the spectrum of AIDS-defining malignancies (ADMs) and non-AIDS-defining malignancies (NADMs) in HIV-infected patients in Poland. MATERIAL AND METHODS: A retrospective observational study was conducted among HIV-infected adult patients who developed a malignancy between 1995 and 2012 in a Polish cohort. Malignancies were divided into ADMs and NADMs. Non-AIDS-defining malignancies were further categorised as virus-related (NADMs-VR) and unrelated (NADMs-VUR). Epidemiological data was analysed according to demographic data, medical history, and HIV-related information. Results were analysed by OR, EPITools package parameters and Fisher's exact test. RESULTS: In this study 288 malignancies were discovered. The mean age at diagnosis was 41.25 years (IQR20-81); for ADMs 38.05 years, and for NADMs-VURs 46.42 years; 72.22% were male, 40.28% were co-infected with HCV. The risk behaviours were: 37.85% IDU, 33.33% MSM, and 24.31% heterosexual. Mean CD4+ at the diagnosis was 282 cells/mm(3) (for ADMs 232 and for NADMs-VUR 395). Average duration of HIV infection at diagnosis was 5.69 years. There were 159 (55.2%) ADMs and 129 (44.8%) NADMs, among whom 58 (44.96%) NADMs-VR and 71 (55.04%) NADMs-VUR. The most frequent malignancies were: NHL (n = 76; 26.39%), KS (n = 49; 17.01%), ICC (n = 34; 11.81%), HD (n = 23; 7.99%), lung cancer (n = 18; 6.25%) and HCC (n = 14; 4.86%). The amount of NADMs, NADMs-VURs in particular, is increasing at present. Male gender (OR = 1.889; 95% CI: 1.104–3.233; p = 0.024), advanced age: 50–60 years (OR = 3.022; 95% CI: 1.359–6.720; p = 0.01) and ≥ 60 years (OR = 15.111; 95% CI: 3.122–73.151; p < 0.001), longer duration of HIV-infection and successful HAART (OR = 2.769; 95% CI: 1.675–4.577; p = 0) were independent predictors of NADMs overall, respectively. CONCLUSIONS: In a Polish cohort NHL was the most frequent malignancy among ADMs, whereas HD was the most frequent among NADMs. Increased incidence of NADMs appearing in elderly men with longer duration of HIV-infection and with better virological and immunological control was confirmed. As HIV-infected individuals live longer, better screening strategies, especially for NADMs-VUR, are needed. The spectrum of cancer diagnoses in Poland currently does not appear dissimilar to that observed in other European populations

    Meeting the WHO 90% target : antiretroviral treatment efficacy in Poland is associated with baseline clinical patient characteristics

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    Introduction: Modern combined antiretroviral therapies (cART) allow to effectively suppress HIV-1 viral load, with the 90% virologic success rate, meeting the WHO target in most clinical settings. The aim of this study was to analyse antiretroviral treatment efficacy in Poland and to identify variables associated with virologic suppression. Methods: Cross-sectional data on 5152 (56.92% of the countrywide treated at the time-point of analysis) patients on cART for more than six months with at least one HIV-RNA measurement in 2016 were collected from 14 Polish centres. Patients’ characteristics and treatment type-based outcomes were analysed for the virologic suppression thresholds of <50 and <200 HIV-RNA copies/ml. CART was categorized into two nucleos(t)ide (2NRTI) plus non-nucleoside reverse transcriptase (NNRTI) inhibitors, 2NRTI plus protease (PI) inhibitor, 2NRTI plus integrase (InI) inhibitor, nucleos(t)ide sparing PI/r+InI and three drug class regimens. For statistics Chi-square and U-Mann Whitney tests and adjusted multivariate logistic regression models were used. Results: Virologic suppression rates of <50 copies/mL were observed in 4672 (90.68%) and <200 copies/mL in 4934 (95.77%) individuals. In univariate analyses, for the suppression threshold <50 copies/mL higher efficacy was noted for 2NRTI+NNRTI-based combinations (94.73%) compared to 2NRTI+PI (89.93%), 2NRTI+InI (90.61%), nucleos(t)ide sparing PI/r+InI (82.02%) and three drug class regimens (74.49%) (p < 0.0001), with less pronounced but significant differences for the threshold of 200 copies/mL [2NRTI+NNRTI-97.61%, 2NRTI+PI-95.27%, 2NRTI+InI-96.61%, PI/r+InI- 95.51% and 86.22% for three drug class cART) (p < 0.0001). However, in multivariate model, virologic efficacy for viral load <50 copies/mL was similar across treatment groups with significant influence by history of AIDS [OR:1.48 (95%CI:1.01–2.17) if AIDS diagnosed, p = 0.046], viral load < 5 log copies/mL at care entry [OR:1.47 (95%CI:1.08–2.01), p = 0.016], baseline lymphocyte CD4 count ≥200 cells/µL [OR:1.72 (95%CI:1.04–2.78), p = 0.034] and negative HCV serology [OR:1.97 (95%CI:1.29–2.94), p = 0.002]. For viral load threshold <200 copies/mL higher likelihood of virologic success was only associated with baseline lymphocyte CD4 count ≥200 cells/µL [OR:2.08 (95%CI:1.01–4.35), p = 0.049] and negative HCV status [OR:2.84 (95%CI:1.52–5.26), p = 0.001]. Conclusions: Proportion of virologically suppressed patients is in line with WHO treatment target confirming successful application of antiretroviral treatment strategy in Poland. Virological suppression rates depend on baseline patient characteristics, which should guide individualized antiretroviral tre0atment decisions

    Non-HIV-related comorbidities and uncontrolled HIV replication are independent factors increasing the odds of hospitalization due to COVID-19 among HIV-positive patients in Poland

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    PURPOSE: Immunocompromised patients are postulated to be at elevated risk of unfavorable outcomes of COVID-19. The exact effect of HIV infection on the course of COVID-19 remains to be elucidated. The aim of the study was to describe the epidemiological and clinical aspects of SARS-CoV-2 infection in HIV-infected individuals. METHODS: The HIV-positive patients who were diagnosed with SARS-CoV-2 infection were identified through thirteen specialist HIV clinics routinely following them due to HIV treatment. The data were collected between November 2020 and May 2021 through an on-line electronical case report form (SurveyMonkey(®)). The collected information included demographics, lifestyle, comorbidities, HIV care history, COVID-19 clinical course and treatment. Logistic regression models were used to identify factors associated with the odds of death or hospitalization due to COVID-19. RESULTS: One hundred and seventy-three patients with HIV-SARS-CoV-2 coinfection were included in the analysis. One hundred and sixty-one (93.1%) subjects had a symptomatic course of the disease. Thirty-nine (23.1%) of them were hospitalized, 23 (13.3%) necessitated oxygen therapy. Three (1.8%) patients required admission to the intensive care unit and 6 (3.5%) patients died. The presence of comorbidities and an HIV viral load of more than 50 copies/mL were linked to the increased odds of hospitalization (OR 3.24 [95% CI 1.27–8.28]) and OR 5.12 [95% CI 1.35–19.6], respectively). CONCLUSIONS: As depicted by our analyses, HIV-positive patients with comorbidities and/or uncontrolled HIV replication who are diagnosed with SARS-CoV-2 infection should be considered of high risk of poor COVID-19 outcome and followed up carefully

    Molecular epidemiology and HIV-1 variant evolution in Poland between 2015 and 2019

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    Abstract The occurrence of HIV-1 subtypes differs worldwide and within Europe, with non-B variants mainly found across different exposure groups. In this study, we investigated the distribution and temporal trends in HIV-1 subtype variability across Poland between 2015 and 2019. Sequences of the pol gene fragment from 2518 individuals were used for the analysis of subtype prevalence. Subtype B was dominant (n = 2163, 85.90%). The proportion of subtype B-infected individuals decreased significantly, from 89.3% in 2015 to 80.3% in 2019. This was related to the increasing number of subtype A infections. In 355 (14.10%) sequences, non-B variants were identified. In 65 (2.58%) samples, recombinant forms (RFs) were noted. Unique recombinant forms (URFs) were found in 30 (1.19%) sequences. Three A/B recombinant clusters were identified of which two were A6/B mosaic viruses not previously described. Non-B clades were significantly more common among females (n = 81, 22.8%, p = 0.001) and heterosexually infected individuals (n = 45, 32.4%, p = 0.0031). The predominance of subtype B is evident, but the variability of HIV-1 in Poland is notable. Almost half of RFs (n = 65, 2.58%) was comprised of URFs (n = 30, 1.19%); thus those forms were common in the analyzed population. Hence, molecular surveillance of identified variants ensures recognition of HIV-1 evolution in Poland
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