Healthcare-associated infections in high-risk neonates: Temporal trends in a national surveillance system.

BACKGROUND: Increased survival of preterm neonates who require hospitalization at the Neonatal Intensive Care Unit has led to an increase in infections. This study aims to describe the temporal trend, risk factors, and outcome of healthcare-associated infections in a NICU of a high complexity hospital, with emphasis on the differences of incidence between bacterial and fungal infections. METHODS: The study was carried out from January 2013 to December 2016, with daily follow-up of the newborns by the National Healthcare Safety Network. RESULTS: The study included 881 newborns, of whom 214 had a bacterial infection, 19 had fungi infection, and 12 bacterial and fungal infections associated. The hospital infection rate was 12/1000 patient-days. SNAPPE>24, days of hospitalization and PICC days were independent risk factors for the development of fungal and bacterial infection, respectively, with statistical significance for bacterial and fungal infections. The mortality rate was 2.6 times higher in those who had fungal infection than in those who had a bacterial infection. The occurrence of invasive infections was higher in the years 2015 and 2016 and Gram-negative bacteria and yeasts were more frequent, impacting morbidity and mortality. CONCLUSIONS: The use of invasive devices is a risk factor for the occurrence of HAI caused by bacteria and fungi. The frequency of deaths was higher in the group of neonates with fungal infection. These results point to the importance of constant epidemiological surveillance and measures of effective control of infections in NICU.

Association between inflammatory potential of the diet and sleep parameters in sleep apnea patients.

OBJECTIVES: The aim of this study was to analyze the association between the inflammatory potential of diet and sleep parameters in individuals with obstructive sleep apnea (OSA) and to evaluate the sensitivity and specificity of the dietary inflammatory index (DII) at predicting sleep pattern. METHODS: Patients diagnosed with mild to severe OSA were included in the study (N = 296). Sleep pattern was analyzed by polysomnography and subjective sleep parameters. DII scores were calculated from a validated food frequency questionnaire. Receiver operating characteristic curve analysis and generalized linear models were conducted. RESULTS: DII scores were efficient at predicting apnea severity (P < 0.05) and daytime sleepiness (P = 0.02) in age stratification and predicting rapid eye movement latency in obese individuals (P = 0.03). No significant associations were found between DII scores and the majority of sleep parameters. The DII was only associated with daytime sleepiness; patients with a more proinflammatory diet (quintile 4) showed more subjective sleepiness than the group with a more anti-inflammatory diet (quintile 1; P < 0.05). CONCLUSION: Findings from this study indicated that the DII could be sensitive and specific for predicting apnea severity in individuals commonly associated with OSA. Although the DII was not associated with most of the sleep parameters, the few associations found demonstrated the need for more studies that evaluate whether DII is associated with the risk for OSA symptoms.