Nurses' perceptions of aids and obstacles to the provision of optimal end of life care in ICU

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Risk factors for infection with colistin-resistant gram-negative microorganisms: a multicenter study

WOS: 000384907900008PubMed ID: 27236394BACKGROUND: Knowing risk factors for colistin resistance is important since colistin is the only remaining choice for the treatment of infections caused by multi-drug resistant microorganisms. OBJECTIVE: Evaluate risk factors associated with infection by colistin-resistant microorganisms. DESIGN: Retrospective study. SETTINGS: Tertiary healthcare centers. PATIENTS AND METHODS: An e-mail including the title and purpose of the study was sent to 1500 infectious disease specialists via a scientific and social web portal named "Infeksiyon Dunyasi (Infection World)". Demographic and clinical data was requested from respondents. MAIN OUTCOME MEASURE(S): Colistin-resistance. RESULTS: Eighteen infectious disease specialists from twelve tertiary care centers responded to the invitation. Data was collected on 165 patients, 56 cases (39.9%) and 109 (66.0%) age-and sex-matched controls. The colistin-resistant microorganisms isolated from cases were 29 Acinetobacter baumannii (51.8%), 18 Pseudomonas aeruginosa (32.1%) and 9 Klebsiella spp. Colistin, carbapenem, and quinolone use in the last three months were risk factors for colistin resistance in the univariate analysis. Previous quinolone use in the last three months (P=.003; RR: 3.2; 95% CI: 1.5-6,7) and previous colistin use in the last three months (P=.001; RR: 3.6; 95% CI: 1.63-7.99) were significant risk factors in the multivariate analysis. CONCLUSION: Clinicians should limit the use of quinolones and remain aware of the possibility of resistance developing during colistin use. LIMITATIONS: The lack of a heteroresistance analysis on the isolates. No data on use of a loading dose or the use of colistin in combination

Risk factors for infection with colistin-resistant gram-negative microorganisms: a multicenter study

BACKGROUND: Knowing risk factors for colistin resistance is important since colistin is the only remaining choice for the treatment of infections caused by multi-drug resistant microorganisms. OBJECTIVE: Evaluate risk factors associated with infection by colistin-resistant microorganisms. DESIGN: Retrospective study. SETTINGS: Tertiary healthcare centers. PATIENTS AND METHODS: An e-mail including the title and purpose of the study was sent to 1500 infectious disease specialists via a scientific and social web portal named ``Infeksiyon Dunyasi (Infection World){''}. Demographic and clinical data was requested from respondents. MAIN OUTCOME MEASURE(S): Colistin-resistance. RESULTS: Eighteen infectious disease specialists from twelve tertiary care centers responded to the invitation. Data was collected on 165 patients, 56 cases (39.9\%) and 109 (66.0\%) age-and sex-matched controls. The colistin-resistant microorganisms isolated from cases were 29 Acinetobacter baumannii (51.8\%), 18 Pseudomonas aeruginosa (32.1\%) and 9 Klebsiella spp. Colistin, carbapenem, and quinolone use in the last three months were risk factors for colistin resistance in the univariate analysis. Previous quinolone use in the last three months (P=.003; RR: 3.2; 95\% CI: 1.5-6,7) and previous colistin use in the last three months (P=.001; RR: 3.6; 95\% CI: 1.63-7.99) were significant risk factors in the multivariate analysis. CONCLUSION: Clinicians should limit the use of quinolones and remain aware of the possibility of resistance developing during colistin use. LIMITATIONS: The lack of a heteroresistance analysis on the isolates. No data on use of a loading dose or the use of colistin in combination

Tuberculous and brucellosis meningitis differential diagnosis.

BACKGROUND: The Thwaites and Lancet scoring systems have been used in the rapid diagnosis of tuberculous meningitis (TBM). However, brucellar meningoencephalitis (BME) has similar characteristics with TBM. The ultimate aim of this study is to infer data to see if BME should be included in the differential diagnosis of TBM when these two systems suggest the presence of TBM. METHOD: BME and TBM patients from 35 tertiary hospitals were included in this study. Overall 294 adult patients with BME and 190 patients with TBM were enrolled. All patients involved in the study had microbiological confirmation for either TBM or BME. Finally, the Thwaites and Lancet scoring systems were assessed in both groups. RESULTS: The Thwaites scoring system more frequently predicted BME cases (n = 292, 99.3%) compared to the TBM group (n = 182, 95.8%) (P = 0.017). According to the Lancet scoring system, the mean scores for BME and TBM were 9.43 ± 1.71 and 11.45 ± 3.01, respectively (P < 0.001). In addition, TBM cases were classified into "probable" category more significantly compared to BME cases, and BME cases were categorized into the "possible" category more frequently. CONCLUSIONS: When the Thwaites or Lancet scoring systems indicate TBM, brucellar etiology should also be taken into consideration particularly in endemic countries

Cranial imaging findings in neurobrucellosis: results of Istanbul-3 study

Objective Neuroimaging abnormalities in central nervous system (CNS) brucellosis are not well documented. The purpose of this study was to evaluate the prevalence of imaging abnormalities in neurobrucellosis and to identify factors associated with leptomeningeal and basal enhancement, which frequently results in unfavorable outcomes

Cranial imaging findings in neurobrucellosis: results of Istanbul-3 study

Objective: Neuroimaging abnormalities in central nervous system (CNS) brucellosis are not well documented. The purpose of this study was to evaluate the prevalence of imaging abnormalities in neurobrucellosis and to identify factors associated with leptomeningeal and basal enhancement, which frequently results in unfavorable outcomes. Methods: Istanbul-3 study evaluated 263 adult patients with CNS brucellosis from 26 referral centers and reviewed their 242 magnetic resonance imaging (MRI) and 226 computerized tomography (CT) scans of the brain. Results: A normal CT or MRI scan was seen in 143 of 263 patients (54.3 %). Abnormal imaging findings were grouped into the following four categories: (a) inflammatory findings: leptomeningeal involvements (44), basal meningeal enhancements (30), cranial nerve involvements (14), spinal nerve roots enhancement (8), brain abscesses (7), granulomas (6), and arachnoiditis (4). (b) White-matter involvement: white-matter involvement (32) with or without demyelinating lesions (7). (c) Vascular involvement: vascular involvement (42) mostly with chronic cerebral ischemic changes (37). (d) Hydrocephalus/cerebral edema: hydrocephalus (20) and brain edema (40). On multivariate logistic regression analysis duration of symptoms since the onset (OR 1.007; 95 % CI 1–28, p = 0.01), polyneuropathy and radiculopathy (OR 5.4; 95 % CI 1.002–1.013, p = 0.044), cerebrospinal fluid (CSF)/serum glucose rate (OR 0.001; 95 % CI 000–0.067, p = 0.001), and CSF protein (OR 2.5; 95 % CI 2.3–2.7, p = 0.0001) were associated with diffuse inflammation. Conclusions: In this study, 45 % of neurobrucellosis patients had abnormal neuroimaging findings. The duration of symptoms, polyneuropathy and radiculopathy, high CSF protein level, and low CSF/serum glucose rate were associated with inflammatory findings on imaging analyses. © 2016, Springer-Verlag Berlin Heidelberg