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This paper reports a case of Kagami-Ogata syndrome in a preterm infant with gestational age of 30 weeks. Prenatal ultrasonography suggested excess amniotic fluid, large biparietal diameter and abdominal circumference, and widening of the lateral ventricles, renal pelvis, and intestinal tubes in several places. Postnatal examination showed a small jaw, collapsed nose, and upturned nostrils; the chest was narrow and bell-shaped, and the abdominal wall showed diastasis recti and a bowel pattern. Chest radiographs showed 'hanger sign' ribs. Ultrasound showed widening of the lateral ventricles, hydronephrosis in both kidneys and cryptorchidism. Thyroid function tests suggested congenital hypothyroidism. Prenatal amniocentesis results obtained on day 6 after birth revealed the presence of a microdeletion of approximately 268.2 kb in the known genomic imprinted region 14q32.2 from the mother. The diagnosis of Kagami-Ogata syndrome was confirmed on the basis of the prenatal amniocentesis results and the clinical presentation of the infant after birth. The family gave up treatment after the infant was treated with ventilator, nutritional support, and antibiotics without significant improvement. In this paper, we summarize the diagnosis and treatment of this infant and review the literature inorder to enrich the clinical knowledge of this disease.

With the increasing usage of quality improvement (QI) methodology, the application of QI in healthcare field is gradually gaining attention. QI in healthcare field, guided by the specific aim, is to use the methodology of continuous and cyclic interventions to transform existing knowledge into clinical practice and to measure whether the interventions are effective through monitoring of quantifiable indicators, so as to improve the medical process and outcomes. In this paper, we introduce the structures of QI projects and reporting elements, including the title and abstract, introduction, results and discussion section, and offer examples for detailed explanation, with the hope of helping medical staff to better understand QI in the field of healthcare.