Pneumonia plays an important role in children’s morbidity and mortality. In Brazil, epidemiological and social changes occurred concomitantly with the universal introduction of the 10-valent pneumococcal conjugate vaccine. This study identified risk factors for pneumonia following the implementation of a pneumococcal vaccination program. A hospital-based, case-control study involving incident cases of pneumonia in children aged 1–59 months was conducted between October 2010 and September 2013 at a tertiary hospital in northeastern Brazil. The diagnosis of pneumonia was based on the World Health Organization (WHO) criteria. The control group consisted of children admitted to the day-hospital ward for elective surgery. Children with comorbidities were excluded. The risk factors for pneumonia that were investigated were among those classified by the WHO as definite, likely and possible. A multivariate analysis was performed including variables that were significant at p ≤ 0.25 in the bivariate analysis. The study evaluated 407 children in the case group and 407 children in the control group. Household crowding (OR = 2.15; 95 % CI, 1,46–3,18) and not having been vaccinated against the influenza virus (OR = 3.59; 95 % CI, 2,62–4.91) were the only factors found to increase the likelihood of pneumonia. Male gender constituted a protective factor (OR = 0.53; 95 % CI, 0,39–0,72). Changes on risk factors for pneumonia were most likely associated with the expansion of the vaccination program and social improvements; however, these improvements were insufficient to overcome inequalities, given that household crowding remained a significant risk factor. The protection provided by the influenza vaccine must be evaluated new etiological studies. Furthermore, additional risk factors should be investigated.

COVID-19 in children and adolescents has low frequency, severity, and fatality rate all over the world. A cross-sectional study was conducted to assess the epidemiological and clinical aspects of COVID-19 in patients younger than 20 years in Pernambuco (Brazil), with cases confirmed by reverse-transcriptase–PCR SARS-CoV-2 between 13 February and June 19, 2020, reported on information systems. Data regarding age (< 30 days, 1–11 months, 1–4 years, 5–9 years, 10–14 years, and 15–19 years), gender, color/race, symptoms, pregnancy or puerperium, comorbidities, hospitalization, and death were investigated. Fatality rate and mortality coefficient were calculated, and a multiple logistic regression analysis was performed to determine if gender, age, and comorbidities were factors associated with death. Of 682 pediatric cases, 52.8% were female, with a mean age of 9 ± 7.2 years. The most frequent symptoms were fever (64.4%), cough (52.4%), and respiratory distress (32.4%). Hospitalization was reported in 46.2% of cases, mainly among neonates (80.3%) and infants (73.8%). Thirty-eight deaths were notified, and a fatality rate of 5.6% (95% CI: 3.9–7.3) was found, with higher fatality rates among neonates 11.5% (7 of 61) and 9.5% (8 of 84) infants. The mortality coefficient was 10.9 per 100,000 inhabitants < 1 year of age, whereas comorbidities (Odds ratio [OR] = 14.13, 95% CI: 6.35–31.44), age < 30 days (OR = 5.17, 95% CI: 1.81–14.77), and age 1–11 months (OR = 3.28, 95% CI: 1.21–8.91) were independent factors associated with death. The results demonstrate the vulnerability of neonates and infants with severe conditions, need hospitalization, and high fatality rate, indicating the necessity to adapt public health policies for these age-groups.

Objective: To characterize the clinical and histological profile, as well as treatment patterns, of patients with early-stage, locally advanced (LA), or advanced/metastatic (AM) lung cancer, diagnosed between 2000 and 2014, in Brazil. Methods: This was an analytical cross-sectional epidemiological study employing data obtained for the 2000-2014 period from the hospital cancer registries of two institutions in Brazil: the José Alencar Gomes da Silva National Cancer Institute, in the city of Rio de Janeiro; and the São Paulo Cancer Center Foundation, in the city of São Paulo. Results: We reviewed the data related to 73,167 patients with lung cancer. The proportions of patients with early-stage, LA, and AM lung cancer were 13.3%, 33.2%, and 53.4%, respectively. The patients with early-stage lung cancer were older and were most likely to receive a histological diagnosis of adenocarcinoma; the proportion of patients with early-stage lung cancer remained stable throughout the study period. In those with LA lung cancer, squamous cell carcinoma predominated, and the proportion of patients with LA lung cancer decreased significantly over the period analyzed. Those with AM lung cancer were younger and were most likely to have adenocarcinoma; the proportion of patients with AM lung cancer increased significantly during the study period. Small cell carcinoma accounted for 9.2% of all cases. In our patient sample, the main treatment modality was chemotherapy. Conclusions: It is noteworthy that the frequency of AM lung cancer increased significantly during the study period, whereas that of LA lung cancer decreased significantly and that of early-stage lung cancer remained stable. Cancer treatment patterns, by stage, were in accordance with international guidelines.

Background: The importance of classifying cancer patients into high- or low-risk groups has led many research teams, from the biomedical and bioinformatics fields, to study the application of machine learning (ML) algorithms. The International Society of Geriatric Oncology recommends the use of the comprehensive geriatric assessment (CGA), a multidisciplinary tool to evaluate health domains, for the follow-up of elderly cancer patients. However, no applications of ML have been proposed using CGA to classify elderly cancer patients. Objective: The aim of this study was to propose and develop predictive models, using ML and CGA, to estimate the risk of early death in elderly cancer patients. Methods: The ability of ML algorithms to predict early mortality in a cohort involving 608 elderly cancer patients was evaluated. The CGA was conducted during admission by a multidisciplinary team and included the following questionnaires: mini-mental state examination (MMSE), geriatric depression scale-short form, international physical activity questionnaire-short form, timed up and go, Katz index of independence in activities of daily living, Charlson comorbidity index, Karnofsky performance scale (KPS), polypharmacy, and mini nutritional assessment-short form (MNA-SF). The 10-fold cross-validation algorithm was used to evaluate all possible combinations of these questionnaires to estimate the risk of early death, considered when occurring within 6 months of diagnosis, in a variety of ML classifiers, including Naive Bayes (NB), decision tree algorithm J48 (J48), and multilayer perceptron (MLP). On each fold of evaluation, tiebreaking is handled by choosing the smallest set of questionnaires. Results: It was possible to select CGA questionnaire subsets with high predictive capacity for early death, which were either statistically similar (NB) or higher (J48 and MLP) when compared with the use of all questionnaires investigated. These results show that CGA questionnaire selection can improve accuracy rates and decrease the time spent to evaluate elderly cancer patients. Conclusions: A simplified predictive model aiming to estimate the risk of early death in elderly cancer patients is proposed herein, minimally composed by the MNA-SF and KPS. We strongly recommend that these questionnaires be incorporated into regular geriatric assessment of older patients with cancer.

Objective.: To evaluate the risk factors that influence time to acquisition of a laboratory-confirmed bloodstream infection (LCBI).Design.: Prospective cohort study with an 18-month follow-up.Setting.: A 16-bed medical and/or surgical pediatric intensive care unit that cares for patients of the Brazilian Public Health System exclusively.Patients.: We included children from 0 to 18 years old who were represented by 875 consecutive admissions to the pediatric intensive care unit from January 1, 2005, through June 30, 2006. The children from all but 5 (0.6%) of the admissions were followed up until discharge or death. The majority (506 [58.2%]) were hospitalized for surgical pathology, and 254 (29.2%) underwent heart surgery.Methods.: We used a standardized questionnaire and data collection from daily charts. Information on risk factors was collected before the onset of first LCBI. Survival analysis was performed using the Kaplan-Meier method. The effect of the variables on the risk of LCBI each day was estimated through a Cox model fitting.Results.: Fifty-seven children (6.6%) developed an LCBI, 54 (94.7%) of whom made use of a central venous catheter. LCBI incidence was 11.27 episodes/1,000 patient-days and 17.92 episodes/1,000 patient-days when associated with a central venous catheter. Factors associated with time to the first LCBI in the Cox model were age less than 2 years (hazard ratio [HR], 1.99; 95% confidence interval [CI], 1.02–3.89), malnutrition (HR, 1.74; 95% CI, 1.01–3.00), use of a central venous catheter (HR, 4.36; 95% CI, 1.30–14.64), use of antibiotics before admission (HR, 0.58; 95% CI, 0.33–0.98), and use of transfused blood products (HR, 0.40; 95% CI, 0.22–0.74).Conclusion.: Factors associated with time to acquisition of LCBI were age less than 2 years, weight-for-age z score less than −2, and the use of a central venous catheter. Therefore, intensification of LCBI prevention efforts in patients with these characteristics is fundamental.