Coinfections of influenza and other respiratory viruses (ORVs) are frequent in the epidemic season. The aim of this study was to examine the demographic and virological variables associated with coinfections by influenza and ORVs.

We analysed respiratory samples of patients with laboratory-confirmed influenza using molecular diagnostic methods obtained in 8 consecutive influenza seasons (2011-2012 to 2018-2019). We analysed data focusing on different variables age, sex, type of patient (hospitalized/sentinel) and detected type/subtype of influenza.

Coinfections of influenza and ORVs were detected in 17.8% of influenza-positive samples. The probability of detecting coinfection was significantly higher in young children (0-4 years; OR 2.7; 95% CI 2.2-3.4), children (5-14 years; OR 1.6; 95% CI 1.2-2.1) and patients infected with the A(H3N2) subtype (OR 1.4; 95% CI 1.14-1.79). Also, we found a significantly higher frequency of coinfections involving influenza and 2 or more other respiratory viruses in young children (0-4 years; OR 0.5; 95% CI 0.32-0.8), adults (40-64 years; OR 0.5; 95% CI 0.3-0.9) and women (OR 0.7; 95% CI 0.5-0.9).

These results show that coinfections of influenza and ORVs are more frequent in young children and children, and in cases involving the A(H3N2) influenza subtype. Our findings can be useful to guide the use of multiplex diagnostic methods in laboratories with limited resources.

These results show that coinfections of influenza and ORVs are more frequent in young children and children, and in cases involving the A(H3N2) influenza subtype. Our findings can be useful to guide the use of multiplex diagnostic methods in laboratories with limited resources.Perioperative management of implantable cardioverter-defibrillators is an important part of anesthetic care. Society recommendations and expert consensus statements exist to aid clinicians, and they have identified the umbilicus as an important landmark in decision-making. Implantable cardioverter-defibrillator antitachycardia therapy may not need to be deactivated for infraumbilical surgery because electromagnetic interference is unlikely to occur. The authors present two cases in which inappropriate antitachycardia therapy occurred intraoperatively with use of an underbody dispersive electrode, even though both surgeries were infraumbilical. The authors also present two cadaver models to demonstrate how monopolar electrosurgery below the umbilicus is sensed using both traditional and underbody dispersive electrosurgical return electrodes.

The study compared machine-learning models with traditional logistic regression to predicting liver outcomes after aortic arch surgery.

Retrospective review from January 2013 to May 2017.

Fuwai Hospital.

The study comprised 672 consecutive patients who had undergone aortic arch surgery.

Three machine-learning methods were compared with logistic regression with regard to the prediction of postoperative liver dysfunction (PLD) after aortic arch surgery. The perioperative characteristics, including the patients’ baseline medical condition and intraoperative data, were analyzed. The performance of the models was assessed using the area under the receiver operating characteristic curve. Naïve Bayes had the best discriminative ability for the prediction of PLD (area under the receiver operating characteristic curve = 0.77) compared with random forest (0.76), support vector machine (0.73), and logistic regression (0.72). The primary endpoint of PLD was observed in 185 patients (27.5%). The cardiopulmonary bypass time, long surgery time, long aortic clamp time, high preoperative bilirubin value, and low rectal temperature were strongly associated with the development of PLD after aortic arch surgery.

The machine-learning method of naïve Bayes predicts PLD after aortic arch surgery significantly better than traditional logistic regression.

The machine-learning method of naïve Bayes predicts PLD after aortic arch surgery significantly better than traditional logistic regression.

The authors aimed to assess whether untreated preoperative anemia was associated with increased risk for adverse outcomes after the arterial switch operation in neonates with dextro-transposition of the great arteries (d-TGA).

Retrospective cohort study.

Single cardiac surgery center.

Eighty-two newborns with d-TGA.

The authors categorized the cohort into the following two groups the infants with preoperative anemia group (defined as a hematocrit <0.40 L/L) and the control group.

Preoperative anemia was diagnosed in 21 (25.6%) infants. Anemic infants received intraoperative red blood cell transfusions significantly more often than controls (81.0% v 34.4%, p < 0.001). No differences were observed in the incidence of adverse events, duration of hospitalization (median 27 days v 26 days, p = 0.881), and mortality (0% v 4.9%, p = 0.566). STF-083010 supplier Postnatal hematocrit was the only variable independently associated with preoperative anemia in multivariate logistic regression analysis (unit odds ratio, 0.832; 95% confidence interval, 0.743-0.931; p = 0.001).

Untreated preoperative anemia was not associated with adverse outcomes in neonates undergoing reparative surgery for d-TGA.

Untreated preoperative anemia was not associated with adverse outcomes in neonates undergoing reparative surgery for d-TGA.

To perform a cross-cultural adaptation of the Global Assessment of Severity of Epilepsy (GASE) and Global Assessment of Disability (GAD) scales to Brazilian Portuguese and compare patients’ self-rated scores with their attending physicians’ ratings.

We conducted an observational, multicentre,cross-sectional study. Patients followed up in five epilepsy centres in Brazil responded to GASE and GAD questionnaires and to the Hospital Anxiety and Depression Scale and the Adverse Events Profile, both previously validated in Brazil. GASE and GAD scales were also completed by 20 attending physicians providing care to these patients.

A total of 138 patients were interviewed, with a mean age of 39.9±13.81 years and a median of 11 (interquartile range, IQR=7.5-12) years of education. Eighty-five (61.6%) patients were female. Most patients were diagnosed with focal epilepsy (82.6%). Only 5.8% and 3.6% of respondents reported having difficulty understanding the GASE and GAD, respectively. The patients scored a median of 3 (IQR=2-5) on the self-perceived GASE and 4 (IQR=2-6) on the GAD.