A 7-year-old spayed female English Cocker Spaniel dog presented with polyuria (PU), polydipsia (PD), intermittent vomiting, and weight loss. Physical examination revealed pale, tacky mucous membranes and severe emaciation. Hematological and biochemical examinations revealed moderate normocytic normochromic non-regenerative anemia and moderate azotemia. Abdominal ultrasonography demonstrated bilaterally small lumpy-bumpy kidneys with hyperechoic parenchyma as well as loss of renal corticomedullary junction. Based on clinical history and examinations, the dog was diagnosed with chronic kidney disease (CKD). The dog was treated with supportive care including fluid therapy, phosphate-binding agent, and histamine H2-receptor antagonist. Darbepoetin Alfa was administered to control renal secondary non-regenerative anemia. Prescribed diet with low-protein and low-phosphorus was fed to alleviate CKD signs. Further, dietary probiotics were supplemented. This case demonstrates that oral probiotic supplementation helped reduce blood urea-nitrogen (BUN) levels. This case indicates that dietary probiotics can be a potential alternative therapeutic agent for management of renal failure.
Anemia ; Animals ; Azotemia ; Child ; Darbepoetin alfa ; Diet ; Dietary Supplements* ; Dogs* ; Emaciation ; Female ; Fluid Therapy ; Histamine ; Humans ; Kidney ; Mucous Membrane ; Physical Examination ; Polydipsia ; Polyuria ; Probiotics* ; Renal Insufficiency ; Renal Insufficiency, Chronic* ; Ultrasonography ; Vomiting ; Weight Loss

Purpose: This study examined the recognition of rehabilitative robots for treatment in physical therapists. Methods: This study surveyed 100 physical therapists in Seoul and Gyeonggi-do using Google Form, an online survey tool. The questionnaire consisted of 21 questions, including eight questions on the general characteristics, 13 questions on the recognition of rehabilitative robots. Results: The general characteristics of the physical therapists showed differences and influences on recognition of rehabilitative robots, and there were statistically significant differences. There were significant differences in the recognition of rehabilitation robots according to general characteristics in gender, age, education degree, type of hospital, average weekly working time, and treatment field. Multiple regression analysis found that gender and the type of hospital influenced the recognition of rehabilitation robots. Conclusion Physical therapists showed differences in recognition of rehabilitative robots according to their general characteristics, and gender and the type of hospital influence the recognition of rehabilitation robots. Sufficient systematic education programs should be provided, and physical therapists require policy adjustments to increase their accessibility to rehabilitation robots through continuing education.

Purpose: This study examined the recognition of rehabilitative robots for treatment in physical therapists. Methods: This study surveyed 100 physical therapists in Seoul and Gyeonggi-do using Google Form, an online survey tool. The questionnaire consisted of 21 questions, including eight questions on the general characteristics, 13 questions on the recognition of rehabilitative robots. Results: The general characteristics of the physical therapists showed differences and influences on recognition of rehabilitative robots, and there were statistically significant differences. There were significant differences in the recognition of rehabilitation robots according to general characteristics in gender, age, education degree, type of hospital, average weekly working time, and treatment field. Multiple regression analysis found that gender and the type of hospital influenced the recognition of rehabilitation robots. Conclusion Physical therapists showed differences in recognition of rehabilitative robots according to their general characteristics, and gender and the type of hospital influence the recognition of rehabilitation robots. Sufficient systematic education programs should be provided, and physical therapists require policy adjustments to increase their accessibility to rehabilitation robots through continuing education.

PURPOSE: Plasma lipoprotein-associated phospholipase A2 (Lp-PLA2) binds to low-density lipoprotein. The levels of Lp-PLA2 reflect the plaque burden, and are upregulated in acute coronary syndrome (ACS). We investigated the diagnostic value of Lp-PLA2 levels and found that it might be a potential biomarker for ACS. MATERIALS AND METHODS: We classified 226 study participants into three groups: patients without significant stenosis (control group), patients with significant stenosis with stable angina (SA group), and patients with ACS (ACS group). RESULTS: Lp-PLA2 and high-sensitivity C-reactive protein (hs-CRP) levels were significantly greater in the ACS group than in the SA group (p=0.044 and p=0.029, respectively). Multivariate logistic regression analysis revealed that Lp-PLA2 levels are significantly associated with ACS (odds ratio=1.047, p=0.013). The addition of Lp-PLA2 to the ACS model significantly increased the global chi2 value over traditional risk factors (28.14 to 35.602, p=0.006). The area under the receiver operating characteristic curve for Lp-PLA2 was 0.624 (p=0.004). The addition of Lp-PLA2 level to serum hs-CRP concentration yielded an integrated discrimination improvement of 0.0368 (p=0.0093, standard error: 0.0142) and improved the ability to diagnose ACS. CONCLUSION: Lp-PLA2 levels are related to plaque stability and might be a diagnostic biomarker for ACS.
1-Alkyl-2-acetylglycerophosphocholine Esterase/*blood ; Acute Coronary Syndrome/*blood/physiopathology ; Aged ; Aged, 80 and over ; Angina Pectoris ; Biological Markers/blood ; C-Reactive Protein/*metabolism ; Coronary Angiography ; Female ; Humans ; Lipoproteins, LDL/*blood ; Logistic Models ; Male ; Middle Aged ; Multivariate Analysis ; Plaque, Atherosclerotic/blood ; ROC Curve ; Risk Factors