Medicine
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Observational Study
Ectopic papilla of Vater in duodenum bulb: A hospital-based study.
The major papilla of Vater can be ectopically present in the stomach, pyloric canal, duodenal bulb, and third or fourth portion of the duodenum. In this study, we determined the clinical significance of ectopic papilla of Vater by endoscopic retrograde cholangiopancreatogram (ERCP). A retrospective study was conducted by reviewing the medical records of 6133 patients receiving ERCP from 1988 to 2011. ⋯ Three patients with CBD stones were treated successfully after endoscopic sphincterotomy or papillary balloon dilation. Ectopic orifice of papilla is a rare finding of ERCP. Opacification of both the CBD and main PD from the same opening is an essential criterion for diagnosing an ectopic papilla of Vater in the duodenal bulb.
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Case Reports
Swyer-James-Macleod syndrome as a rare cause of unilateral hyperlucent lung: Three case reports.
Swyer-James-Macleod syndrome (SJMS) is a rare lung disorder characterized by unilateral hyperlucent lungs which arises as a complication of bronchiolitis obliterans. It is typically diagnosed during childhood, although some patients may only be diagnosed in adulthood, often as an incidental finding, but others due to recurrent chest infections. ⋯ These cases highlight the importance of being aware of this condition and its frequent association with bronchiectasis, which may adversely affect the prognosis, to manage patients appropriately and prevent recurrent pulmonary infections.
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Imatinib mesylate (imatinib) is a classic tyrosine kinase inhibitor used to treat chronic myeloid leukemia. Although it is well tolerated by most patients and helps in the achievement of complete remission, a few rare imatinib-associated adverse effects such as pulmonary interstitial fibrosis have been reported. Because of its rareity, the clinical features of imatinib-induced interstitial lung disease (ILD) remain unclear. ⋯ Clinicians should consider the possibility of severe irreversible ILD and carefully monitor patients receiving imatinib treatment.
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Adequate stability of traumatic anterior shoulder dislocation without any obvious damage to the anterior capsulolabral structure in elderly patients can be achieved by treating the associated rotator cuff injuries. However, in case of recurrent shoulder dislocation despite rotator cuff repair, the repaired rotator cuff may be weakened or reruptured and is often impossible to repair again. Therefore, the role of the rotator cuff as a shoulder stabilizer cannot be expected. Even if the anterior joint capsule is left, it is too weak to imbrication either. An additional anterior structural reconstruction that can replace the rotator cuff and capsule is needed to prevent recurrence. ⋯ Recurrent anterior shoulder dislocation after primary surgery in the elderly may be a challenging situation for surgeons. In patients with irreparable anterior rotator cuff tear and for whom reconstruction of the anterior glenoid is not indicated, pectoralis major tendon transfer is a good treatment option for satisfactory clinical outcomes without recurrence.
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Observational Study
Heart rate variability based machine learning models for risk prediction of suspected sepsis patients in the emergency department.
Early identification of high-risk septic patients in the emergency department (ED) may guide appropriate management and disposition, thereby improving outcomes. We compared the performance of machine learning models against conventional risk stratification tools, namely the Quick Sequential Organ Failure Assessment (qSOFA), National Early Warning Score (NEWS), Modified Early Warning Score (MEWS), and our previously described Singapore ED Sepsis (SEDS) model, in the prediction of 30-day in-hospital mortality (IHM) among suspected sepsis patients in the ED. Adult patients who presented to Singapore General Hospital (SGH) ED between September 2014 and April 2016, and who met ≥2 of the 4 Systemic Inflammatory Response Syndrome (SIRS) criteria were included. ⋯ A total of 214 patients were included, of whom 40 (18.7%) met the outcome. Gradient boosting was the best model with a F1 score of 0.50 and AUPRC of 0.35, and performed better than all the baseline comparators (SEDS, F1 0.40, AUPRC 0.22; qSOFA, F1 0.32, AUPRC 0.21; NEWS, F1 0.38, AUPRC 0.28; MEWS, F1 0.30, AUPRC 0.25). A machine learning model can be used to improve prediction of 30-day IHM among suspected sepsis patients in the ED compared to traditional risk stratification tools.