Publications by authors named "A Ohsaka"

Although recent technological advances for the diagnosis of bloodstream infection (BSI) provide rapid and accurate results, blood culture maintains a key role in the diagnosis of BSI. The objective of this study was to determine whether 24-h reporting by telephone to disclose the suspected microorganism based on the Gram stain morphology from positive blood cultures (first laboratory report) affects a physician's use of appropriate antimicrobials. A total of 627 (14%) out of 4413 blood samples, excluding duplicate samples from the same patient on the same day, were positive for blood cultures between January and December 2016.

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Perioperative autologous cell salvage (PACS) is one of the effective strategies in patient blood management (PBM). However, mistransfusion, in which the wrong blood is transfused to the wrong patient, of PACS units has been reported. In this study, we implemented a bar code-based electronic identification system (EIS) for blood transfusion in the setting of PACS transfusion.

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Introduction: The erythrocyte sedimentation rate (ESR) is a nonspecific inflammation indicator. In laboratory testing, automated ESR analyzers may use the reference Westergren method (Reference WG), modified Westergren (Modified WG), or Alternate ESR method (Alternate ESR) based on photometric rheology. A prototype hematology analyzer Celltac α+ (Nihon Kohden Corporation) with built-in Novel ESR analysis technology (Novel ESR) was developed to improve the accuracy of Alternate ESR.

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Philadelphia chromosome-negative myeloproliferative neoplasms (Ph-negative MPNs) such as polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofibrosis are characterized by abnormal proliferation of mature bone marrow cell lineages. Since various non-hematologic disorders can also cause leukocytosis, thrombocytosis and polycythemia, the detection of abnormal peripheral blood cells is essential for the diagnostic screening of Ph-negative MPNs. We sought to develop an automated diagnostic support system of Ph-negative MPNs.

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Background: This study investigated the feasibility and accuracy of an automated hematology analyzer in the detection of schistocytes.

Methods: In total, 1,026 peripheral blood samples were collected. Schistocytes were morphologically diagnosed by manual examination of digital microscopic red blood cell images captured by a Sysmex DI-60.

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