Impact of the ST101 clone on fatality among patients with colistin-resistant Klebsiella pneumoniae infection.

Objectives: We describe the molecular characteristics of colistin resistance and its impact on patient mortality. Methods: A prospective cohort study was performed in seven different Turkish hospitals. The genotype of each isolate was determined by MLST and repetitive extragenic palindromic PCR (rep-PCR). Alterations in mgrB were detected by sequencing. Upregulation of pmrCAB, phoQ and pmrK was quantified by RT-PCR. mcr-1 and the genes encoding OXA-48, NDM-1 and KPC were amplified by PCR. Results: A total of 115 patients diagnosed with colistin-resistant K. pneumoniae (ColR-Kp) infection were included. Patients were predominantly males (55%) with a median age of 63 (IQR 46-74) and the 30 day mortality rate was 61%. ST101 was the most common ST and accounted for 68 (59%) of the ColR-Kp. The 30 day mortality rate in patients with these isolates was 72%. In ST101, 94% (64/68) of the isolates had an altered mgrB gene, whereas the alteration occurred in 40% (19/47) of non-ST101 isolates. The OXA-48 and NDM-1 carbapenemases were found in 93 (81%) and 22 (19%) of the total 115 isolates, respectively. In multivariate analysis for the prediction of 30 day mortality, ST101 (OR 3.4, CI 1.46-8.15, P = 0.005) and ICU stay (OR 7.4, CI 2.23-29.61, P = 0.002) were found to be significantly associated covariates. Conclusions: Besides ICU stay, ST101 was found to be a significant independent predictor of patient mortality among those infected with ColR-Kp. A significant association was detected between ST101 and OXA-48. ST101 may become a global threat in the dissemination of colistin resistance and the increased morbidity and mortality of K. pneumoniae infection.

The effect of problem-solving skills on blood glucose regulation and disease management in children with type 1 diabetes mellitus.

OBJECTIVES: This cross-sectional study examined the relationship between problem-solving skills, glucose regulation, and disease management in children with type 1 diabetes mellitus (T1DM) as well as the role of depression in this association. METHODS: The participants (n=54) were recruited from a diabetes camp. Problem-solving inventory (PSI), Beck depression inventory (BDI), and diabetes self-management profile (DSMP) were administered as tests. Forty-six participants who have been diagnosed with T1DM for at least a year and completed the survey were included in the analyses. Participants were categorized into high and low depression groups based on the median split. Student's t-test was used to detect demographic differences in groups. Linear regression models were used to examine the association between PSI, HbA1c, and DSMP. Regressions for PSI and DSMP were repeated in low and high-depression groups. RESULTS: Of the 46 participants with T1DM, 52 % were female, with a mean age of 13.96 ± 1.94 (range 10-17). Avoidant and monitoring style of problem solving as well as the total score of PSI significantly predicted HbA1c levels. Impulsive and avoidant style of problem solving, problem-solving confidence, and total scores of PSI significantly predicted DSMP (p<0.05). The high depression group had a significantly higher DSMP score than the low depression group (p=0.001), with no difference in HbA1c levels (p=0.968). When the DSMP regressions were repeated, no significant associations were seen in the low depression group. Avoidant style of problem solving, problem-solving confidence, and the total score of PSI significantly predicted DSMP in the high depression group (p<0.005). CONCLUSIONS: Problem solving-skills are essential in children with T1DM for a successful disease management. Depression modulates the association between the problem-solving and self-management profile.