42 research outputs found

    Comparison of SARS-CoV-2 infections in healthcare workers with high and low exposures to Covid-19 patients in a Norwegian University Hospital.

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    INTRODUCTION: A year into the pandemic, the knowledge of SARS-CoV-2 infection risks among healthcare workers remains limited. In this cross-sectional study, we examined whether healthcare workers with high exposure to Covid-19 patients had a higher risk of SARS-CoV-2 infection than other healthcare workers in a Norwegian University Hospital. We also investigated the prevalence of asymptomatic healthcare workers in a ward with a SARS-CoV-2 outbreak. METHODS: Healthcare workers from five wards at Akershus University Hospital were included between May 11 and June 11, 2020. Blood samples were analyzed for SARS-CoV-2 antibodies and seroprevalences compared between participants with high and low exposure to Covid-19 patients. Demographic data and SARS-CoV-2 infection risk factors were recorded in a questionnaire. Naso-/oropharyngeal swabs from participants from the outbreak ward were analyzed by reverse transcriptase-polymerase chain reaction. RESULTS: 360/436 (82.6%) healthcare workers participated. 9/262 (3.4%) participants from wards with high exposure to Covid-19 patients were SARS-CoV-2 seropositive versus 3/98 (3.1%) from wards with low exposure (OR 1.13; 95%CI 0.3-4.26, p = .861). SARS-CoV-2 antibodies were found in 11/263 (4.2%) participants who had worked one or more shifts caring for Covid-19 patients versus in 1/85 (1.2%) without any known occupational Covid-19 exposure (OR 3.67; 95%CI 0.46-29.06, p = .187). SARS-CoV-2 was detected in naso-/oropharyngeal swabs from 2/78 (2.6%) participants. CONCLUSION: We found no significantly increased risk of SARS-CoV-2 infection in healthcare workers with high exposure to COVID-19 patients. Five healthcare workers had either serologic or molecular evidence of past or present unrecognized SARS-CoV-2 infection

    COVID-19 symptoms at hospital admission vary with age and sex: results from the ISARIC prospective multinational observational study

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    Background: The ISARIC prospective multinational observational study is the largest cohort of hospitalized patients with COVID-19. We present relationships of age, sex, and nationality to presenting symptoms. Methods: International, prospective observational study of 60 109 hospitalized symptomatic patients with laboratory-confirmed COVID-19 recruited from 43 countries between 30 January and 3 August 2020. Logistic regression was performed to evaluate relationships of age and sex to published COVID-19 case definitions and the most commonly reported symptoms. Results: ‘Typical’ symptoms of fever (69%), cough (68%) and shortness of breath (66%) were the most commonly reported. 92% of patients experienced at least one of these. Prevalence of typical symptoms was greatest in 30- to 60-year-olds (respectively 80, 79, 69%; at least one 95%). They were reported less frequently in children (≀ 18 years: 69, 48, 23; 85%), older adults (≄ 70 years: 61, 62, 65; 90%), and women (66, 66, 64; 90%; vs. men 71, 70, 67; 93%, each P < 0.001). The most common atypical presentations under 60 years of age were nausea and vomiting and abdominal pain, and over 60 years was confusion. Regression models showed significant differences in symptoms with sex, age and country. Interpretation: This international collaboration has allowed us to report reliable symptom data from the largest cohort of patients admitted to hospital with COVID-19. Adults over 60 and children admitted to hospital with COVID-19 are less likely to present with typical symptoms. Nausea and vomiting are common atypical presentations under 30 years. Confusion is a frequent atypical presentation of COVID-19 in adults over 60 years. Women are less likely to experience typical symptoms than men

    Experiences from multiplex PCR diagnostics of faeces in hospitalised patients: clinical significance of Enteropathogenic Escherichia coli (EPEC) and culture negative campylobacter

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    Background In hospitalised patients with diarrhoea a positive campylobacter stool Polymerase Chain Reaction (PCR) test with negative culture results as well as Enteropathogenic Escherichia coli (EPEC) positive stool PCRs, challenges the clinician and may lead the unexperienced clinician astray. The aim of the study was to elucidate the clinical significance of positive Campylobacter and/or EPEC test results in hospitalised patients with diarrhoea. Methods We conducted a retrospective case-case study. Case groups with 1) EPEC only and 2) EPEC in combination with any other pathogen in the PCR multiplex array, 3) PCR positive/culture negative Campylobacter, and 4) PCR positive/culture positive Campylobacter were compared. Medical records were reviewed and cases classified according to pre-specified clinical criteria as infectious gastroenteritis or non-infectious causes for diarrhoea. We analyzed the association between laboratory findings (the 4 subgroups) and the pre-specified clinical classification. We further sequenced culture negative campylobacter samples and tested EPEC for bundle forming pilus A (bfpA) gene, distinguishing typical from atypical EPEC. Results A total of 291 patients were included, 169 were PCR positive for Campylobacter and 122 for EPEC. For both pathogens, co-infections were more common in culture negative/PCR positive samples than in culture positive samples. Clinical characteristics differed significantly in and between groups. Campylobacter culture positive patients had very high prevalence of characteristics of acute infectious gastroenteritis, whereas patients with PCR positive test results only often had an alternative explanation for their diarrhoea. Culture positives were almost exclusively C. jejuni/coli, whereas in culture negatives, constituting a third of the total PCR positives, C. concisus was the most frequent species. The vast majority of EPEC only positives had documented non-infectious factors that could explain diarrhoea. The EPEC co-infected group mimicked the culture positive campylobacter group, with most patients fulfilling the infectious gastroenteritis criteria. Conclusions In hospitalised patients, positive PCR results for campylobacter and EPEC should be interpreted in a clinical context after evaluation of non-infectious diarrhoea associated conditions, and cannot be used as a stand-alone diagnostic tool

    Nosocomial candidemia; risk factors and prognosis revisited; 11 years experience from a Norwegian secondary hospital.

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    The aim of the study was to review the epidemiology and prognosis of candidemia in a secondary hospital, and to examine the intra-hospital distribution of candidemia patients. Study design is a retrospective cohort study. Trough 2002-2012, 110 cases of candidemia were diagnosed, giving an incidence of 2, 6/100,000 citizens/year. Overall prognosis of candidemia was dismal, with a 30 days case fatality rate of 49% and one year case fatality rate of 64%. Candidemia was a terminal event in 55% of 30 days non-survivors, defined as Candida blood cultures reported positive on the day of death or thereafter (39%), or treatment refrained due to hopeless short-term prognosis (16%). In terminal event candidemias, advanced or incurable cancer was present in 29%. Non-survivors at 30 days were 9 years (median) older than survivors. In 30 days survivors, candidemia was not recognised before discharge in 13% of cases. No treatment were given and no deaths or complications were observed in this group. Candidemia patients were grouped into 8 patient categories: Abdominal surgery (35%), urology (13%), other surgery (11%), pneumonia (13%), haematological malignancy (7%), intravenous drug abuse (4%), other medical (15%), and new-borns (3%). Candidemia was diagnosed while admitted in the ICU in 46% of patients. Urology related cases were all diagnosed in the general ward. Multiple surgical procedures were done in 60% of abdominal surgery patients. Antibiotics were administered prior to candidemia in 87% of patients, with median duration 17 (1-108) days. Neutropenia was less common than expected in patients with candidemia (8/105) and closely associated to haematological malignancy (6/8). Compared with previous national figures the epidemiology of invasive candidiasis seems not to have changed over the last decade

    Nosocomial Candidemia; Risk Factors and Prognosis Revisited; 11 Years Experience from a Norwegian Secondary Hospital

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    The aim of the study was to review the epidemiology and prognosis of candidemia in a secondary hospital, and to examine the intra-hospital distribution of candidemia patients. Study design is a retrospective cohort study. Trough 2002–2012, 110 cases of candidemia were diagnosed, giving an incidence of 2, 6/100000 citizens/year. Overall prognosis of candidemia was dismal, with a 30 days case fatality rate of 49 % and one year case fatality rate of 64%. Candidemia was a terminal event in 55 % of 30 days non-survivors, defined as Candida blood cultures reported positive on the day of death or thereafter (39%), or treatment refrained due to hopeless short-term prognosis (16%). In terminal event candidemias, advanced or incurable cancer was present in 29%. Non-survivors at 30 days were 9 years (median) older than survivors. In 30 days survivors, candidemia was not recognised before discharge in 13 % of cases. No treatment were given and no deaths or complications were observed in this group. Candidemia patients were grouped into 8 patient categories: Abdominal surgery (35%), urology (13%), other surgery (11%), pneumonia (13%), haematological malignancy (7%), intravenous drug abuse (4%), other medical (15%), and new-borns (3%). Candidemia was diagnosed while admitted in the ICU in 46 % of patients. Urology related cases were all diagnosed in the general ward. Multiple surgical procedures were done in 60 % of abdominal surgery patients. Antibiotics were administered prior to candidemia in 87 % of patients, with median duration 17 (1–108) days. Neutropenia was less common than expected in patients with candidemia (8/105) and closely associated to haematologica

    Sars-cov-2 viremia is associated with inflammatory, but not cardiovascular biomarkers, in patients hospitalized for covid-19

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    Background COVID‐19 may present with a variety of cardiovascular manifestations, and elevations of biomarkers reflecting myocardial injury and stress are prevalent. SARS‐CoV‐2 has been found in cardiac tissue, and myocardial dysfunction post‐COVID‐19 may occur. However, the association between SARS‐CoV‐2 RNA in plasma and cardiovascular biomarkers remains unknown. Methods and Results COVID MECH (COVID‐19 Mechanisms) was a prospective, observational study enrolling consecutive, hospitalized patients with laboratory‐confirmed infection with SARS‐CoV‐2 and symptoms of COVID‐19. Biobank plasma samples used to measure SARS‐CoV‐2 RNA and cardiovascular and inflammatory biomarkers were collected in 123 patients at baseline, and in 96 patients (78%) at day 3. Patients were aged 60±15 (mean ± SD) years, 71 (58%) were men, 68 (55%) were White, and 31 (25%) received mechanical ventilation during hospitalization. SARS‐CoV‐2 RNA was detected in plasma from 48 (39%) patients at baseline. Patients with viremia were more frequently men, had more diabetes mellitus, and lower oxygen saturation. Patients with viremia had higher concentrations of interleukin‐6, C‐reactive protein, procalcitonin, and ferritin (all <0.001), but comparable levels of cTnT (cardiac troponin T; P=0.09), NT‐proBNP (N‐terminal pro‐B‐type natriuretic peptide; P=0.27) and D‐dimer (P=0.67) to patients without viremia. SARS‐CoV‐2 RNA was present in plasma at either baseline or day 3 in 50 (52%) patients, and these patients experienced increase from baseline to day 3 in NT‐proBNP and D‐dimer concentrations, while there was no change in cTnT. Conclusions SARS‐CoV‐2 viremia was associated with increased concentrations of inflammatory, but not cardiovascular biomarkers. NT‐proBNP and D‐dimer, but not cTnT, increased from baseline to day 3 in patients with viremia. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT04314232

    Langtidsprognose for pasienter innlagt i en medisinsk overvÄkningsavdeling

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    BAKGRUNN Medisinsk overvĂ„kning pĂ„ Akershus universitetssykehus behandler pasienter med truende eller manifest organsvikt. Å velge ut pasienter som vil ha nytte av behandling i en overvĂ„kningsavdeling, er krevende. Det finnes lite data pĂ„ langtidsoverlevelse for pasienter behandlet i medisinske overvĂ„kningsavdelinger og pĂ„ hvordan antatte gunstige og ugunstige prognostiske faktorer predikerer langtidsoverlevelse i denne populasjonen. MATERIALE OG METODE Prospektiv registrering av komorbiditet, innleggelsesĂ„rsak og om infeksjon var direkte eller medvirkende Ă„rsak til innleggelsen, ble utfĂžrt for pasienter ved avdelingen i 2014 og 2016. Vi registrerte mortalitet inntil seks Ă„r etter innleggelsen og utfĂžrte logistisk regresjonsanalyse med tre Ă„rs overlevelse som utfallsvariabel. RESULTATER Av 2 170 pasienter som ble inkludert, dĂžde 153 pasienter (7 %) pĂ„ overvĂ„kningsavdelingen. Av de 2 017 pasientene som ble utskrevet fra overvĂ„kningsavdelingen i live, var 55 % fortsatt i live tre Ă„r senere, inkludert 28 % av eldre over 80 Ă„r og 23 % av pasienter med kreftsykdom. Alder, malignitet, annen komorbiditet og infeksjon var prediktorer for dĂžd. FORTOLKNING Mange pasientgrupper i en overvĂ„kningsavdeling har en dĂ„rlig langtidsprognose. Eldre over 80 Ă„r, kreftsyke eller pasienter med annen alvorlig komorbiditet kan imidlertid leve lenge etter opphold pĂ„ en overvĂ„kningsavdeling, og tilhĂžrighet til disse gruppene bĂžr ikke vĂŠre selvstendig Ă„rsak til Ă„ unnlate Ă„ gi et behandlingstilbud. Hovedfunn Pasienter pĂ„ medisinsk overvĂ„kning er en svĂŠrt heterogen gruppe hva gjelder alder, komorbiditet og langtidsprognose. Pasienter over 80 Ă„r og kreftpasienter kan overleve lenge etter behandling i en overvĂ„kningsavdeling og beslaglegger ikke vesentlig mer ressurser mĂ„lt i liggetid enn Ăžvrige pasienter. Alvorlig infeksjon ved innleggelsen er assosiert med Ăžkt risiko for dĂžd ogsĂ„ flere Ă„r senere

    Thirty days cummulative survival according to clinical recognisable categories.

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    <p>IDU and Urology compated to all other categories (Other surgery, Abdominal surgery, Other medical, Pneumonia, Hematology). * Log rank test p = 0,0425.</p
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