Factors Related to Mortality in Carbapenem Resistant Acinetobacter baumannii Infections in Intensive Care Units: A Prospective Observational Study

WOS: 000582249100014Introduction: Management of carbapenem resistant Acinetobacter baumannii infections in intensive care units is challenging because of few treatment options and poor outcomes. in order to contribute to patients' survival, the factors related to mortality in these infections were evaluated in this study. Materials and Methods: in the 6-month study period, we included 60 patients with carbapenem resistant A. baumannii infections (45 ventilator associated pneumonia and 15 bacteremia) in two intensive care units of our hospital. We collected data of the patients prospectively. We noted demographic features of patients, Acute Physiology and Chronic Health Evaluation (APACHE II), Sequential Organ Failure Assessment (SOFA), Clinical Pulmonary Infection Score (CPIS), Acute Kidney Injury (AKIN) scores, antibiotic treatments, clinical and microbiological outputs, and mortality rates during treatment and on the 30th day. Results: We observed that infections appeared at mean 11th day of the patients' stay in the intensive care unit. Carbapenem resistant A. baumannii isolates were highly resistant to antibiotics except colistin. Only 9% of the patients had proper empirical treatment. Twenty five percent of the patients were dead before having a specific antibiotic treatment. Crude mortality rate was 66.7%, and 30th day mortality was 71.7%. the patients who had colistin and tigecycline combination had higher survival rates, but it was statistically insignificant. in univariate analysis high SOFA score (p= 0.0001), high procalcitonin level (p= 0.01), septic shock (p= 0.005), renal insufficiency (p= 0.005), rheumatological disease (p= 0.03) were related to higher mortality. We detected high SOFA score on the first day of infection as the only mortality related factor in multivariate analysis (p= 0.012). the patients who had higher mortality were those with delayed (> 3 days) proper antimicrobial treatment (p= 0.03). Conclusion: in our study, the high SOFA score on the first day of infection in intensive care units was found as a risk factor for mortality. We suggest that prompt administration of the proper antibiotic treatment to the patients who have risk factors for carbapenem-resistant A. baumannii infection can contribute to survival

HIV-1 Subtype Distribution Determined by Phylogenetic Analysis of pol Gene Sequences and Automated Subtyping Tools among HIV-1 Isolates from the Aegian Region of Turkey

WOS: 000341223900006PubMed ID: 25052108Human immunodeficiency virus (HIV) exhibiting remarkable genetic variability, includes two genotypes namely HIV-1 (group M, N, O and P) and HIV-2 (group A-H). HIV-1 group M, which is mainly the cause of the AIDS pandemic, is divided into nine pure subtypes, more than 45 circulating recombinant forms (CRF) and numerous unique recombinant forms (URF). According to the documents of Turkish Government of Health, among a total of 6802 HIV-positive cases, 1096 of them were defined as AIDS as of June 2013 in Turkey. Although subtype B is the predominant subtype, recent studies indicate higher proportion of CRFs similar to their increasing role in the HIV pandemic. The aim of this study was to determine the subtype distribution of HIV-1 strains isolated from 70 patients (61 male, 9 female; age range: 16-73 yrs, mean age: 39.6 yrs) who presented to our institution between April 2008-June 2013. HIV-1 strains were subtyped by phylogenetic analysis of the pol gene region and commonly used automated subtyping tools namely, Stanford HIV db v6.2.0 and Rega v3.0. Pol sequences retrieved from the Los Alamos database and from GeneBank, were trimmed from full-length genomes. Phylogenetic analysis of the 1302 base pair of the pol gene region was performed using Mega v5.2 software. The sequences were aligned using Muscle and phylogenetic distances between sequences were estimated by using Kimura two-parameter model (transition/transversion ratio: 2.0). Tree topology was obtained using neighbour-joining method and bootstrap value was set at 1000. Sixty-one (87.1%) patients were antiretroviral treatment (ART)-naive and nine were on different ART regimens. The subtypes of the isolates according to phylogenetic analysis were found as follows; 31(44.2%) subtype B, 24 (34.2%) CRF42_BF, 6 (8.5%) B/CRF02_AG recombinants, 5 (7.1%) sub-subtype A1, 1 (1.4%) sub-subtype F1, 1 (%1.4) CRF 25_cpx, 1 (1.4%) CRF02_AG and 1 (1.4%) CRF01_AE. Rega v3.0 subtyping tool produced five discrepant results (4 B/CRF02-AG and 1 CRF42_BF) compared to phylogenetic analysis. Stanford HIVdb v6.2.0 had eight results (3 CRF42_BF, 2 subtype B, 2 sub-subtype A1, 1 CRF25_cpx) that were not concordant with phylogenetic analysis. Stanford HIVdb v6.2.0 was able to subtype all B/CRF02_AG recombinant strains. B/CRF02_AG recombinants which were seen among homosexual men in France were for the first time isolated in Turkey from five men (2 homosexual, 2 bisexual, 1 heterosexual) and one heterosexual woman. CRF42_BF had not been found in Turkey previously and it has not been a common type isolated in neighboring countries either. Full genome sequencing could be helpful to further analysis of those isolates. Our results support the latest studies from Turkey reporting increase in the proportion of CRF-related infections. This is not an unusual finding when geographical location of Turkey is considered. Nevertheless, more comprehensive data regarding molecular epidemiology and subtype distribution of HIV-1 isolates in Turkey are needed