1.Association of Proton Pump Inhibitor Use and Risk of Fracture Based on the National Health Insurance Sample Cohort Database (2002~2013)
Jong Joo KIM ; Eun Jin JANG ; Junwoo CHO ; Hyun Soon SOHN
Korean Journal of Clinical Pharmacy 2019;29(3):147-155
OBJECTIVES: The purpose of this study was to investigate the association between fracture risk and proton pump inhibitor (PPI) use to establish evidence for defining high-risk groups of fracture among PPI users. METHODS: A case-control study was performed using the National Health Insurance Sample Cohort Database from January 2002 to December 2013. The cases included all incidences of major fractures identified from January 2011 to December 2013, and up to four controls were matched to each case by age, gender, osteoporosis, and Charlson comorbidity index. Conditional logistic regression was used to calculate the adjusted odds ratio (aOR) and associated 95% confidence interval (CI). RESULTS: Overall, 14,295 cases were identified, and 63,435 controls were matched to the cases. The aOR of fractures related to the use of PPIs was 1.06 (95% CI: 1.01–1.11). There was a statistically significant association between fracture and PPI use within 3 months of the last dose, and a trend of increasing fracture risk with increasing cumulative PPI dose. The risk of fracture was significantly higher in patients who took PPIs for more than 1 year during the 2-year observation period. CONCLUSION: Patients who have been using PPIs for more than 1 year should be warned about the risk of fracture during or at least 3 months after discontinuing the PPI.
Case-Control Studies
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Cohort Studies
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Comorbidity
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Humans
;
Incidence
;
Logistic Models
;
National Health Programs
;
Odds Ratio
;
Osteoporosis
;
Proton Pumps
;
Protons
2.Artificial Intelligence in Pathology
Hye Yoon CHANG ; Chan Kwon JUNG ; Junwoo Isaac WOO ; Sanghun LEE ; Joonyoung CHO ; Sun Woo KIM ; Tae Yeong KWAK
Journal of Pathology and Translational Medicine 2019;53(1):1-12
As in other domains, artificial intelligence is becoming increasingly important in medicine. In particular, deep learning-based pattern recognition methods can advance the field of pathology by incorporating clinical, radiologic, and genomic data to accurately diagnose diseases and predict patient prognoses. In this review, we present an overview of artificial intelligence, the brief history of artificial intelligence in the medical domain, recent advances in artificial intelligence applied to pathology, and future prospects of pathology driven by artificial intelligence.
Artificial Intelligence
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Humans
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Pathology
;
Prognosis
3.Sustained erroneous near-infrared cerebral oxygen saturation in alert icteric patient with vanishing bile duct syndrome during and after liver transplantation: A case report.
Yang Hoon CHUNG ; So Jeong LEE ; Bon Sung KOO ; Ana CHO ; Misoon LEE ; Junwoo PARK ; Sang Hyun KIM
Anesthesia and Pain Medicine 2019;14(1):63-66
Monitoring cerebral oxygenation using a near infrared spectroscopy (NIRS) device is useful for estimating cerebral hypoperfusion and is available during liver transplantation (LT). However, high serum bilirubin concentration can interfere with NIRS because bilirubin absorbs near infrared light. We report a patient who underwent LT with a diagnosis of vanishing bile duct syndrome, whose regional cerebral oxygen saturation (rSO₂) remained below 15% even with alert mental status and SpO2₂ value of 99%. The rSO₂ values were almost fixed at the lowest measurable level throughout the intra- and postoperative period. We report a case of erroneously low rSO₂ values during the perioperative period in a liver transplant recipient which might be attributable to skin pigmentation rather than higher serum bilirubin concentration.
Bile Ducts*
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Bile*
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Bilirubin
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Diagnosis
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Humans
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Hyperbilirubinemia
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Hypoxia, Brain
;
Liver Transplantation*
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Liver*
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Oxygen*
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Perioperative Period
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Postoperative Period
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Skin Pigmentation
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Spectrum Analysis
;
Transplant Recipients
4.Diagnosis of Lymphoid Malignancy by PCR for Analysis of Antigen Receptor Rearrangement after Blood Transfusion in a Dog with Acute Lymphocytic Leukemia.
Suhee KIM ; Hyunwoo KIM ; Soo Hyeon LEE ; Ilhan CHO ; Seongwoo KANG ; Junwoo BAE ; Woosun KIM ; Soomin AHN ; Jihye CHOI ; Sang Ki KIM ; Yoonjung DO ; Jae Gyu YOO ; Jinho PARK ; DoHyeon YU
Immune Network 2017;17(4):269-274
Acute lymphocytic leukemia (ALL) is uncommon lymphoid malignancy in dogs, and its diagnosis is challenging. A 14-year-old spayed female mixed breed dog was transferred to a veterinary medical teaching hospital for an immediate blood transfusion. The dog showed lethargy, pale mucous membranes, and a weak femoral pulse. Complete blood count revealed non-regenerative anemia and severe leukopenia with thrombocytopenia. ALL was tentatively diagnosed based on the predominance of immature lymphoblasts on blood film examination. For confirmation of lymphoid malignancy, PCR for antigen receptor rearrangement (PARR) on a peripheral blood sample and flow cytometry analysis were performed after blood transfusion. Flow cytometry analysis revealed that lymphocyte subsets were of normal composition, but PARR detected a T-cell malignancy. The dog was diagnosed with ALL and survived 1 wk after diagnosis. In conclusion, after blood transfusion, flow cytometry was not a reliable diagnostic method for an ALL dog, whereas PARR could detect lymphoid malignancy. Our results suggest that PARR should be the first-line diagnostic tool to detect canine lymphoid malignancy after a blood transfusion.
Adolescent
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Anemia
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Animals
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Blood Cell Count
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Blood Transfusion*
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Diagnosis*
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Dogs*
;
Female
;
Flow Cytometry
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Hospitals, Teaching
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Humans
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Lethargy
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Leukopenia
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Lymphocyte Subsets
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Methods
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Mucous Membrane
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Polymerase Chain Reaction*
;
Precursor Cell Lymphoblastic Leukemia-Lymphoma*
;
Receptors, Antigen*
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T-Lymphocytes
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Thrombocytopenia