15 research outputs found

    АлмазныС Ρ„ΠΎΡ‚ΠΎΠΏΡ€ΠΈΠ΅ΠΌΠ½ΠΈΠΊΠΈ ΡƒΠ»ΡŒΡ‚Ρ€Π°Ρ„ΠΈΠΎΠ»Π΅Ρ‚ΠΎΠ²ΠΎΠ³ΠΎ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π°

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    Π˜Π·Π³ΠΎΡ‚ΠΎΠ²Π»Π΅Π½Ρ‹ ΠΈ исслСдованы ΠΏΠ»Π°Π½Π°Ρ€Π½Ρ‹Π΅ Π°Π»ΠΌΠ°Π·Π½Ρ‹Π΅ «солнСчно-слСпыС» Ρ„ΠΎΡ‚ΠΎΠΏΡ€ΠΈΠ΅ΠΌΠ½ΠΈΠΊΠΈ Π£Π€-Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π°. ΠŸΡ€ΠΈΠ²Π΅Π΄Π΅Π½ΠΎ тСорСтичСскоС обоснованиС ΠΏΡ€ΠΈΠ½Ρ†ΠΈΠΏΠΎΠ² Ρ€Π°Π±ΠΎΡ‚Ρ‹ ΠΈ ΡΠΊΡΠΏΠ΅Ρ€ΠΈΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½Ρ‹Π΅ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Ρ‹ Ρ„ΠΎΡ‚ΠΎΠΏΡ€ΠΈΠ΅ΠΌΠ½ΠΈΠΊΠΎΠ² Π² фоторСзистивном ΠΈ Ρ„ΠΎΡ‚ΠΎΠ΄ΠΈΠΎΠ΄Π½ΠΎΠΌ Ρ€Π΅ΠΆΠΈΠΌΠ°Ρ…

    Aerococcus urinae: Severe and Fatal Bloodstream Infections and Endocarditisβ–Ώ

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    Aerococcus urinae is a pathogen that rarely causes severe or fatal infections. We describe four cases of severe A. urinae bloodstream infections. All patients had underlying urologic conditions. Urine cultures, however, were negative

    Apparent Triclabendazole-Resistant Human Fasciola hepatica Infection, the Netherlands

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    TO THE EDITOR: In December 2007, a 71-year-old sheep farmer sought care with a 4-month history of intermittent right upper quadrant pain, night sweats, anorexia, and a 5-kg weight loss. His medical history was unremarkable, and he had not traveled outside the Netherlands for β‰ˆ30 years. Physical examination revealed no abnormalitie

    Prediction Rules for Ruling Out Endocarditis in Patients With Staphylococcus aureus Bacteremia

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    BACKGROUND: Staphylococcus aureus bacteremia (SAB) is in 10% to 20% of cases complicated by infective endocarditis. Clinical prediction scores may select patients with SAB at highest risk for endocarditis, improving the diagnostic process of endocarditis. We compared the accuracy of the Prediction Of Staphylococcus aureus Infective endocarditiseTime to positivity, Iv drug use, Vascular phenomena, preExisting heart condition (POSITIVE), Predicting Risk of Endocarditis Using a Clinical Tool (PREDICT), and VIRSTA scores for classifying the likelihood of endocarditis in patients with SAB. METHODS: Between August 2017 and September 2019, we enrolled consecutive adult patients with SAB in a prospective cohort study in 7 hospitals in the Netherlands. Using the modified Duke Criteria for definite endocarditis as reference standard, sensitivity, specificity, negative predictive (NPV), and positive predictive values were determined for the POSITIVE, PREDICT, and VIRSTA scores. An NPV of at least 98% was considered safe for excluding endocarditis. RESULTS: Of 477 SAB patients enrolled, 33% had community-acquired SAB, 8% had a prosthetic valve, and 11% a cardiac implantable electronic device. Echocardiography was performed in 87% of patients, and 42% received transesophageal echocardiography (TEE). Eighty-seven (18.2%) had definite endocarditis. Sensitivity was 77.6% (65.8%-86.9%), 85.1% (75.8%-91.8%), and 98.9% (95.7%-100%) for the POSITIVE (n = 362), PREDICT, and VIRSTA scores, respectively. NPVs were 92.5% (87.9%-95.8%), 94.5% (90.7%-97.0%), and 99.3% (94.9%-100%). For the POSITIVE, PREDICT, and VIRSTA scores, 44.5%, 50.7%, and 70.9% of patients with SAB, respectively, were classified as at high risk for endocarditis. CONCLUSIONS: Only the VIRSTA score had an NPV of at least 98%, but at the expense of a high number of patients classified as high risk and thus requiring TEE. CLINICAL TRIALS REGISTRATION: Netherlands Trial Register code 6669

    All-Cause and Infection-Related Mortality in Staphylococcus aureus Bacteremia, a Multicenter Prospective Cohort Study

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    Background: Staphylococcus aureus bacteremia (SAB) is a heterogeneous disease with changing epidemiology due to changing demographics and evolving clinical management. SAB is associated with high mortality, but the current fraction of infection-related mortality is less well quantified. Methods: In a multicenter prospective cohort study of consecutive patients with SAB, we determined clinical features of SAB and determined 90-day mortality and risk factors of all-cause and infection-related mortality. Infection-related mortality was based on an adjudication committee evaluation. Results: Four hundred ninety patients with SAB were included, with community-acquired (n = 166), health care-associated (n = 163), and hospital-acquired SAB (n = 161). Endocarditis (n = 90, 18.3%), peripheral intravenous catheter infection (n = 80, 16.3%), and septic arthritis (n = 58, 11.8%) were the most frequent diagnoses, but proportions differed for community, health care, and hospital acquisition. One hundred ninety-two patients (39%) had permanent implanted prosthetic material (eg, prosthetic joint, heart valve, pacemaker). Day 90 all-cause mortality was 33% (n = 161), with 60% adjudicated as infection-related, and 90% of infection-related deaths occurring in the first 30 days post-SAB. Infection-related deaths after 30 days were rare and mainly related to endocarditis. Determinants associated with day 90 infection-related mortality were age (odds ratio [OR], 1.09; 95% CI, 1.06-1.11), Charlson comorbidity index (OR, 1.13; 95% CI, 1.01-1.26), septic shock (OR, 9.78; 95% CI, 4.56-20.95), endocarditis (OR, 3.4; 95% CI, 1.75-6.61), and persistent SAB at 48β€…hours (OR, 2.36; 95% CI, 1.27-4.37). Conclusions: Mortality due to S. aureus infection remains high and mainly occurs in the first 30β€…days, which could guide end points in future studies

    Plasma viral load and CD4 cell count after randomization/treatment interruption in the no treatment and treatment arms.

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    <p>Modeled mean pVL (A) and CD4 cell count (B) over time after randomization/TI in the no treatment and the 24- and 60-wk treatment arms for the group of patients randomized over the three study arms. Graphs show the estimates (Β± standard error of the mean) from the linear mixed models. The box below each graph shows the number of pVL and CD4 cell count measurements at each time point used for fitting the linear mixed models. c/ml, copies/ml.</p

    The Skin Microbiota in Patients Hospitalized for Cellulitis and Association With Outcome

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    Background The skin microbiota plays a key role in the pathogenesis of several skin diseases, but its role in cellulitis remains unknown. We investigated the skin microbiota in patients with cellulitis, studied whether its analysis could help determine the causative pathogen, and explored whether skin microbiota composition was associated with clinical outcomes. Methods We prospectively included 58 patients hospitalized for cellulitis. Skin swabs obtained from the lesion sites were compared with swabs from identical sites on the contralateral unaffected limbs and with swabs obtained from 19 age- A nd sex-matched control subjects without cellulitis. Bacterial profiling of the skin microbiota was performed by interspacer profiling (IS-pro). Results A large interpersonal variation in the skin microbiota composition of patients hospitalized with cellulitis was observed. Firmicutes were the dominant phylum, and Staphylococcus and Streptococcus the dominant genera. In most patients, a strong correlation between the microbiota of the affected lesion and the microbiota of the unaffected, contralateral limb was seen. Overall, the composition of the cellulitis microbiota could not be distinguished from the skin microbiota of controls. No consistent association could be found between traditional culture results and skin microbiota signatures in patients with cellulitis. Lastly, we found that neither microbiota composition nor diversity were associated with clinical parameters and outcomes in patients with cellulitis. Conclusions In this exploratory study on the skin microbiota in patients hospitalized with cellulitis, we were unable to identify a typical cellulitis microbiota. The diagnostic and prognostic information that could be derived from skin microbiota profiling in this patient cohort was limited

    Baseline characteristics of 115 patients randomized over three study arms.

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    <p>Data are <i>n</i> (percent) unless indicated otherwise.</p>a<p>16 patients with missing data.</p>b<p>51 patients with missing data.</p>c<p>65 patients with missing data.</p>d<p>60 patients with missing data.</p><p>MSM, men who have sex with men; n.a., not applicable.</p
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