Distribution and Antibiotic Resistance Characteristics of Bacteria Isolated from Blood Culture in a Teaching Hospital in Vietnam During 2014-2021.

Purpose: Studies on the epidemiology of bloodstream infection (BSI) and antimicrobial resistance (AMR) are limited in Vietnam. Thus, the present study aimed to elucidate the epidemiology of BSI and AMR of BSI-causing bacteria in Vietnam. Methods: Data regarding blood cultures from 2014 to 2021 were collected and analyzed using the chi-square test, Cochran-Armitage test, and binomial logistic regression model. Results: Overall, 2405 (14.15%) blood cultures were positive during the study period. In total, 55.76% of BSIs occurred in patients aged ≥60 years. The male-to-female ratio of patients with BSI was 1.87:1. Escherichia coli (26.11%), Staphylococcus aureus (15.79%), Klebsiella pneumoniae (10.44%), Acinetobacter baumannii (4.70%), and Pseudomonas aeruginosa (3.45%) were the leading bacterial species causing BSI. The AMR rate of these bacteria isolated in the intensive care unit (ICU) was significantly higher compared with that of those in other wards. E. coli was the least resistant to carbapenems (2.39%-4.14%), amikacin (3.85%), and colistin (11.54%) and most resistant to penicillins (>80.0%). S. aureus was the least resistant to glycopeptides (0%-3.38%), quinupristin-dalfopristin (0.59%), and linezolid (1.02%) and most resistant to clindamycin (71.57%). K. pneumoniae was the least resistant to ertapenem (8.86%), amikacin (9.39%), and colistin (15.38%) and most resistant to aztreonam (83.33%). A. baumannii was the least resistant to amikacin (16.67%) and colistin (16.67%) and highly resistant to other antibiotics (≥50.0%). P. aeruginosa was the least resistant to colistin (16.33%) and piperacillin (28.17%) and highly resistant to other antibiotics (≥50.0%). Notably, the multidrug resistance rate of E. coli (76.41%) was the highest among common pathogens, followed by A. baumannii (71.57%), P. aeruginosa (64.56%), S. aureus (56.99%), and K. pneumoniae (43.72%). Conclusion: The AMR rate of BSI-causing bacteria, particularly strains isolated from ICU, was alarmingly high. There is a need for new antibiotics, therapeutic strategies, as well as prevention and control to combat BSI and AMR.

Application of ImageJ Software for the Quantification of Hand Joint Space Narrowing in Patients with Rheumatoid Arthritis.

BACKGROUND: ImageJ software is used to quantify the joint space width (JSW) of hand and wrist in patients with rheumatoid arthritis (RA) as well as in the healthy control group. METHODS: Forty-one RA patients and 31 healthy controls were included in this study. All of 72 participants underwent digital radiography of the bilateral hand and wrist; then, all the images were opened by ImageJ software to measure the width of wrist and hand joint space (total 2160 joints). Joint space narrowing (JSN) was defined if the width was less than the mean - 2SD of the control group. RESULT: The mean JSW of all sites of wrist and hand joints of RA patients were significantly reduced as compared to those in the control group (p<0.001). There were 37/41 (90.24%) RA patients who had JSN in at least one joint in hand or wrist. In total, 70.89% of joints on the right and 68.46% of joints on the left wrist and hand had JSN. CONCLUSION: ImageJ software is simple and convenient that helps rheumatologists quantify the width of joint space for diagnosis and follow-up in RA patients.

Ventriculo-arterial coupling in patients with stable ischemic heart disease undergoing percutaneous coronary intervention.

To investigate ventriculo-arterial coupling (VAC) and its components (Ea, Ees) in patients with stable ischemic heart disease and changes following percutaneous coronary intervention (PCI). 129 patients with stable ischemic heart disease (SIHD) undergoing PCI (study group) and 40 individuals without IHD (control group) were enrolled. VAC was calculated using echocardiography method at baseline and 1, 3, and 6 months after PCI. A linear mixed-effects models with restricted maximum likelihood were used to assess the impact of PCI on Ea, Ees, VAC over 6-month follow-up. Mean age of the SIHD group was 67.8 ± 8.1 (years), and predominantly men (73.6%). In the SIHD group, baseline median Ea, Ees and VAC were 2.52 (IQR 1.89-3.28) (mmHg/ml), 3.87 (IQR 2.90-4.95) (mmHg/ml), and 0.64 (IQR 0.54-0.79), respectively. Patients with SIHD had significantly lower Ees and higher VAC when compared to the control group (p < 0.05). Ees (p = 0.01) and VAC (p < 0.001) were significantly improved over 6 month follow-up after PCI. Notably, the degree of VAC improvement appears to be related to stented artery (Table 3). VAC obtained from echocardiographic methodology demonstrated a significant increase in patients with SIHD at baseline. This observation may represent a plausible mechanism for the benefit of PCI in SIHD. Hence, VAC may be a feasible parameter in the assessment of patients with SIHD.