DSpace Community:http://repository.pnuh.or.kr/handle/2015.OAK/602024-03-22T02:29:02Z2024-03-22T02:29:02ZMisidentification of Candida guilliermondii as C. famata among Strains Isolated from Blood Cultures by the VITEK 2 System목정하http://repository.pnuh.or.kr/handle/2015.OAK/4112016-04-19T11:18:43Z2014-01-01T00:00:00ZTitle(Korean): Misidentification of Candida guilliermondii as C. famata among Strains Isolated from Blood Cultures by the VITEK 2 System
Author: 목정하
Abstract: Introduction. The aim of this study was to differentiate between Candida famata and Candida guilliermondii correctly by using matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) and gene sequencing. Methods. Twenty-eight Candida strains from blood cultures that had been identified as C. famata (N = 25), C. famata/C. guilliermondii (N = 2), and C. guilliermondii (N = 1) by the VITEK 2 system using the YST ID card were included. We identified these strains by MALDI-TOF MS and gene sequencing using the 28S rRNA and ITS genes and compared the results with those obtained by the VITEK 2 system. Results. All 28 isolates were finally identified as C. guilliermondii. Sequencing analysis of the 28S rRNA gene showed 99.80%-100% similarity with C. guilliermondii for all 28 strains. The ITS gene sequencing of the strains showed 98.34%-100% homology with C. guilliermondii. By MALDI-TOF, we could correctly identify 21 (75%) of 28 C. guilliermondii isolates. Conclusion. We should suspect misidentification when C. famata is reported by the VITEK 2 system, and we always should keep in mind the possibility of misidentification of any organism when an uncommon species is reported2014-01-01T00:00:00ZDevelopment of a Prediction Rule for Estimating Postoperative Pulmonary Complications엄중섭http://repository.pnuh.or.kr/handle/2015.OAK/4042016-04-19T11:18:40Z2014-01-01T00:00:00ZTitle(Korean): Development of a Prediction Rule for Estimating Postoperative Pulmonary Complications
Author: 엄중섭
Abstract: Patient- and procedure-related factors associated with postoperative pulmonary complications (PPCs) have changed over the last decade. Therefore, we sought to identify independent risk factors of PPCs and to develop a clinically applicable scoring system. We retrospectively analyzed clinical data from 2,059 patients who received preoperative evaluations from respiratory physicians between June 2011 and October 2012. A new scoring system for estimating PPCs was developed using beta coefficients of the final multiple regression models. Of the 2,059 patients studied, 140 (6.8%) had PPCs. A multiple logistic regression model revealed seven independent risk factors (with scores in parentheses): age ≥70 years (2 points), current smoker (1 point), the presence of airflow limitation (1 point), American Society of Anesthesiologists class ≥2 (1 point), serum albumin <4 g/dL (1 point), emergency surgery (2 points), and non-laparoscopic abdominal/cardiac/aortic aneurysm repair surgery (4 points). The area under the curve was 0.79 (95% CI, 0.75-0.83) with the newly developed model. The new risk stratification including laparoscopic surgery has a good discriminative ability for estimating PPCs in our study cohort. Further research is needed to validate this new prediction rule2014-01-01T00:00:00ZChronic obstructive pulmonary disease severity is associated with severe pneumonia엄중섭http://repository.pnuh.or.kr/handle/2015.OAK/4012016-04-19T11:18:39Z2015-01-01T00:00:00ZTitle(Korean): Chronic obstructive pulmonary disease severity is associated with severe pneumonia
Author: 엄중섭
Abstract: CONTEXT:
Chronic obstructive pulmonary disease (COPD) is a heterogeneous disorder, and various aspects of COPD may be associated with the severity of pneumonia in such patients.
AIMS:
We examined the risk factors associated with severe pneumonia in a COPD population.
MATERIALS AND METHODS:
We performed a retrospective observational study using a prospectively collected database of pneumonia patients who were admitted to our hospital through emergency department between 2008 and 2012. Patients with hospital-acquired pneumonia and those with an immunocompromised status were excluded.
RESULTS:
Of 148 pneumonia patients with COPD for whom chest computed tomography (CT) scans were available, 106 (71.6%) and 42 (28.4%) were classified as non-severe and severe pneumonia, respectively. Multivariate logistic regression analysis revealed that the severity of airflow limitation [odds ratio (OR), 2.751; 95% confidence interval (CI), 1.074-7.050; P = 0.035] and the presence of emphysema on a chest CT scan (OR, 3.366; 95% CI, 1.104-10.265; P = 0.033) were independently associated with severe pneumonia in patients with COPD.
CONCLUSIONS:
The severity of COPD including the airflow limitation grade and the presence of pulmonary emphysema were independently associated with the development of severe pneumonia.2015-01-01T00:00:00Z