Publications by authors named "Juha Rannikko"

Purpose: A German multicentre study BLOOMY was the first to use machine learning approach to develop mortality prediction scores for bloodstream infection (BSI) patients, but the scores have not been assessed in other cohorts. Our aim was to assess how the BLOOMY 14-day and 6-month scores estimate mortality in our cohort of 497 cases with BSI.

Methods: Clinical data, laboratory data, and patient outcome were gathered retrospectively from patient records.

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Background: The coronavirus disease 2019 (COVID-19) epidemic overwhelmed local contact tracing (CT) efforts in many countries. In Finland, severe acute respiratory syndrome coronavirus 2 incidence and mortality were among the lowest in Europe during 2020-2021. We evaluated CT efficiency, effectiveness, and transmission settings.

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Because of widespread use of probiotics, their safety must be guaranteed. We assessed use of probiotic yeast from medical records for patients who had fungemia or other clinical culture findings. We evaluated all sp.

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Background: Immunocompromised patients shed SARS-CoV-2 for extended periods, but to our knowledge person-to-person transmission from late shedding has not been reported.

The Case: We present a case in which a COVID-19 patient infected another over 28 days after the patient's initial symptoms, past current guideline recommendations of 20 days for length of isolation in immunocompromised patients. Whole genome sequencing of their viruses was performed to ascertain the transmission.

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Polymerase chain reaction (PCR)-based diagnostics for Mycoplasma pneumoniae (M. pneumoniae) from the respiratory tract has become widely available, but the interpretation of the results remains unclear. M.

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Objective: Few studies have sought to establish how often death after sepsis is related to the sepsis and how often underlying diseases have a major role in case fatality.

Methods: In this retrospective cohort study, data were collected on 497 cases with blood culture-positive sepsis in an emergency department (ED).

Results: Sepsis was categorized as severe in 31% of cases; 7% had septic shock.

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