Antimicrobial Resistance Patterns of Staphylococcus Aureus Isolated at a General Hospital in Vietnam Between 2014 and 2021.

Purpose: Staphylococcus aureus is a commensal bacteria species that can cause various illnesses, from mild skin infections to severe diseases, such as bacteremia. The distribution and antimicrobial resistance (AMR) pattern of S. aureus varies by population, time, geographic location, and hospital wards. In this study, we elucidated the epidemiology and AMR patterns of S. aureus isolated from a general hospital in Vietnam. Methods: This was a cross-sectional study. Data on all S. aureus infections from 2014 to 2021 were collected from the Microbiology department of Military Hospital 103, Vietnam. Only the first isolation from each kind of specimen from a particular patient was analyzed using the Cochran-Armitage and chi-square tests. Results: A total of 1130 individuals were diagnosed as S. aureus infection. Among them, 1087 strains were tested for AMR features. Most patients with S. aureus infection were in the age group of 41-65 years (39.82%). S. aureus isolates were predominant in the surgery wards, and pus specimens were the most common source of isolates (50.62%). S. aureus was most resistant to azithromycin (82.28%), erythromycin (82.82%), and clindamycin (82.32%) and least resistant to teicoplanin (0.0%), tigecycline (0.16%), quinupristin-dalfopristin (0.43%), linezolid (0.62%), and vancomycin (2.92%). Methicillin-resistant S. aureus (MRSA) and multidrug-resistant (MDR) S. aureus were prevalent, accounting for 73.02% and 60.90% of the total strains respectively, and the strains isolated from the intensive care unit (ICU) had the highest percentage of multidrug resistance (77.78%) among the wards. Conclusion: These findings highlight the urgent need for continuous AMR surveillance and updated treatment guidelines, particularly considering high resistance in MRSA, MDR strains, and ICU isolates. Future research focusing on specific resistant populations and potential intervention strategies is crucial to combat this rising threat.

Bidirectional Glenn operation without cardiopulmonary bypass: Single center experience and results.

BACKGROUND: The bidirectional Glenn (BDG) shunt operation serves as temporary surgery for the treatment of single-ventricle physiology with the eventual Fontan procedure. In some cases, the procedure can be performed without the support of a cardiopulmonary bypass (CPB) machine. In this study, we present the surgical outcomes of off-pump BDG operation with the use of a temporary veno-atrial shunt to decompress the superior vena cava (SVC) during clamping time. METHODS: A cohort of 23 patients underwent off-pump BDG operations at Cardiovascular Center, E Hospital. All patients were operated on using a veno-atrial shunt to decompress the SVC. RESULTS: Satisfactory results with mean oxygen saturation increased from 79.6 ± 11.2% to 87.2 ± 4.7%. The SVC clamping time was 14 ± 2.4 min (ranging from 12 to 21 min). Among 23 patients, only six patients required blood transfusion, 17 patients had BDG without blood transfusion. No neurological complications or deaths occurred after the surgery, and the post-operative period was uneventful. CONCLUSIONS: The use of veno-atrial shunts to decompress SVC during off-pump BDG operation is safe with good surgical outcomes and can avoid the deleterious effects caused by CPB. It is easily reproducible, at low cost and economically effective.

Comparative Analysis of Audio Processing Techniques on Doppler Radar Signature of Human Walking Motion Using CNN Models.

Artificial intelligence (AI) radar technology offers several advantages over other technologies, including low cost, privacy assurance, high accuracy, and environmental resilience. One challenge faced by AI radar technology is the high cost of equipment and the lack of radar datasets for deep-learning model training. Moreover, conventional radar signal processing methods have the obstacles of poor resolution or complex computation. Therefore, this paper discusses an innovative approach in the integration of radar technology and machine learning for effective surveillance systems that can surpass the aforementioned limitations. This approach is detailed into three steps: signal acquisition, signal processing, and feature-based classification. A hardware prototype of the signal acquisition circuitry was designed for a Continuous Wave (CW) K-24 GHz frequency band radar sensor. The collected radar motion data was categorized into non-human motion, human walking, and human walking without arm swing. Three signal processing techniques, namely short-time Fourier transform (STFT), mel spectrogram, and mel frequency cepstral coefficients (MFCCs), were employed. The latter two are typically used for audio processing, but in this study, they were proposed to obtain micro-Doppler spectrograms for all motion data. The obtained micro-Doppler spectrograms were then fed to a simplified 2D convolutional neural networks (CNNs) architecture for feature extraction and classification. Additionally, artificial neural networks (ANNs) and 1D CNN models were implemented for comparative analysis on various aspects. The experimental results demonstrated that the 2D CNN model trained on the MFCC feature outperformed the other two methods. The accuracy rate of the object classification models trained on micro-Doppler features was 97.93%, indicating the effectiveness of the proposed approach.

Three-dimensional laparoscopy in urology: Initial experience after 100 cases.

OBJECTIVE: To evaluate the efficacy of three-dimensional (3D) laparoscopy in urological procedures in a cohort study compared to two-dimensional (2D) laparoscopy. METHODS: From October 2016 to August 2017, 100 patients underwent various urological procedures with 3D laparoscopy performed by a single experienced surgeon at the University Medical Centre of Ho Chi Minh City. The surgeon's subjective assessment of image quality, depth perception, ease of intra-corporeal suturing and knotting was recorded. The State-Trait Anxiety Inventory for Adults (STAI-6) short version was used to quantify aspects of stress experienced during each operative procedure. A subgroup of 73 complicated 3D laparoscopic procedures (nephron sparing nephrectomy, nephrectomy, adrenalectomy, pyeloplasty and ureterolithotomy) was compared to the same clinical parameter group of 74 two-dimensional laparoscopic procedures, performed by the same surgeon in the year before to define the differences in operative time, blood loss and time taken for critical surgical steps during the procedures. RESULTS: Mean time of operation was 112.8 min ± 14.5 (range 45-210 min). Mean estimated blood loss was 54.7 mL ± 8.2 (range 20-100 mL). The surgeon's subjective assessment of image quality, depth perception, operative strain, ease of intra-corporeal suturing, and knotting, and hand-eye coordination was considered as good in 100% of cases. Mean score of STAI-6 was 11.6 ± 2.17 (range 10-22). Subgroup data analysis was all statistically better for 3D compared to 2D. CONCLUSION: The use of 3D systems in laparoscopic urologic procedures resulted in better image quality and better surgeon performance with lower stress.

The research on blood homocystein level as a new risk factor for stroke

The research was carried out on 108 stroke patients, 108 healthy control subjects matched in age and gender at the Hue Central Hospital in 2004. Results: Increasing the mean level of homocystein in blood is new risk factor of stroke. It’s maybe an independent risk factor or combining with other risk factors of stroke (especially hypertension). The rate of hyperhomocysteinemia is higher in patient group than in control group. There were statistically significant association between the mean blood homocystein level with amount risk factors of stroke (age, smoking, blood pressure, uremia, creatininemia, HCT, platelet). Especially, the mean homocystein level in blood had a negative correlation with Glasgow scores. Quantifying the homocystein level in blood of stroke patients can predict the severity of conscious impairment

Preliminary survey on blood homocystein level in cerebrovascular stroke

The concentration of blood homocystein (Hcy) in 26 patients with cerebrovascular accident (CVA) was determined preliminarily in Central Hospital in Hue city. 57.69% was the incidence of CVA in male and 42.31% in female patients (in male it was 1.36 fold higher than in female). Hcy concentration increased in 80.77% CVA patient. The rate of increase of blood level of Hcy was 66.67% in brain hemorrhage, 92.86% in brain infarctus. The incidence of CVA enhanced with the age, especially after the age of 55. High blood pressure accounted for 76.92% in CVA. 17/26 (65.38%) was the ratio of tobacco smoler.

Blood level of homocystein in various types of stroke

68 patients with stroke treated at Hue Central Hospital from March to June 2004. Risk factors as hypertension, smoking were evaluated. Patients had clinical and paraclinical examination such as CT scanning of cerebral skull, blood formula. Blood level of homocystein was estimated: The prevalence of stroke in gender male/female was 1.64/1 with 61.76% men and 38.24 women. Hypertension 85.24%, men/women 1.64/1. Smoke 67.65%. Blood level of homocystein increases in stroke by the rate of 77.94%, as for hemorrhagic stroke was 65.63%, for ischemic stroke was 88.57%. Stroke rate increased by age, especially after 55 years old. A positive correlation between blood level of homocystein and hematocrite was notified