Osteoarticular Infections: Younger Children With Septic Arthritis and Low Inflammatory Patterns Have a Better Prognosis in a European Cohort.

BACKGROUND: Osteoarticular infections (OAI) are associated with complications and sequelae in children, whose prediction are of great importance in improving outcomes. We aimed to design risk prediction models to identify early complications and sequelae in children with OAI. METHODS: This observational study included children (>3 months-17 years old) with acute OAI admitted to a tertiary-care pediatric hospital between 2008 and 2018. Clinical treatment, complications and sequelae were recorded. We developed a multivariable logistic predictive model for an acute complicated course (ACC) and another for sequelae. RESULTS: A total of 240 children were identified, 17.5% with ACC and 6.0% and 3.6% with sequelae at 6 and 12 months of follow-up, respectively. In the multivariable logistic predictive model for ACC, predictors were fever at admission [adjusted odds ratio (aOR): 2.98; 95% confidence interval (CI): 1.10-8.12], C-reactive protein ≥100 mg/L (aOR: 2.37; 95% CI: 1.05-5.35), osteomyelitis (aOR: 4.39; 95% CI: 2.04-9.46) and Staphylococcus aureus infection (aOR: 3.50; 95% CI: 1.39-8.77), with an area under the ROC curve of 0.831 (95% CI: 0.767-0.895). For sequelae at 6 months, predictors were age ≥4 years (aOR: 4.08; 95% CI: 1.00-16.53), C-reactive protein ≥110 mg/L (aOR: 4.59; 95% CI: 1.25-16.90), disseminated disease (aOR: 9.21; 95% CI: 1.82-46.73) and bone abscess (OR: 5.46; 95% CI: 1.23-24.21), with an area under the ROC curve of 0.887 (95% CI: 0.815-0.959). CONCLUSIONS: In our model we could identify patients at low risk for complications and sequelae, probably requiring a less aggressive approach.

Problemas ligados ao álcool em centros de emergência (PLACE)-People experiencing homelessness with alcohol-related problems in Lisbon's emergency shelters during the COVID-19 pandemic: a description and analysis of a harm reduction intervention.

Introduction: Alcohol-related problems disproportionally affect people experiencing homelessness. As the first wave of the COVID-2019 pandemic spread in 2020, a number of emergency shelters were opened in Lisbon. Increased difficulties in obtaining alcohol could have led to an increased incidence of alcohol withdrawal. Therefore, a low-threshold harm reduction intervention was introduced to these emergency shelters. This consisted of a fixed medication treatment, made available immediately for those with specific conditions, without the need for a medical evaluation or abstinence from alcohol, together with an offer of subsequent access to specialized addiction centers. The Problemas Ligados ao Álcool em Centros de Emergência (PLACE) study (alcohol-related problems in emergency shelters) is a retrospective mixed-methods observational study. It describes the demographic, health, and social characteristics of shelter users participating in the program and aims to evaluate the intervention as well as the experience of the patients, professionals, and decision-makers involved. Results: A total of 69 people using shelters self-reported alcohol-related problems. Among them, 36.2% of the people accepted a pharmacological intervention, and 23.2% selected an addiction appointment. The take-up of the intervention was associated with better housing outcomes. A description of an individual's trajectory after leaving the shelter is provided. Discussion: This study suggests that non-abstinence-focused interventions can be useful and well-tolerated in treating addiction in this population.

Clinical, economical and safety impact of ferric carboxymaltose use in Patient Blood Management programme in Portuguese National Health Service hospitals.

Ferric carboxymaltose (FCM) can be used in Patient Blood Management (PBM) to promote the optimization of preoperative haemoglobin (Hb), which aims to minimise the use of allogeneic blood components and improve clinical outcomes, with better cost-effectiveness. This was an observational study conducted in a retrospective and multicentre cohort with adults from elective orthopaedic, cardiac and colorectal surgeries, treated according to local standards of PBM with allogeneic blood product transfusions (ABTs) on demand and with FCM to correct iron deficiency with or without anaemia. In this work, only the first pillar of the PBM model issue by Directorate-General for Health (DGS) was evaluated, which involves optimising Hb in the preoperative period with iron treatment if it's necessary/indicated. Before the implementation of PBM in Portugal, most patients did not undergo preoperative laboratory evaluation with blood count and iron kinetics. Therefore, the existence of Iron Deficiency Anaemia (IDA) or Iron Deficiency (ID) without anaemia was not early detected, and there was no possibility of treating these patients with iron in order to optimise their Hb and/or iron stores. Those patients ended up being treated with ABTs on demand. A total of 405 patients from seven hospitals were included; 108 (26.7%) underwent FCM preoperatively and 197 (48.6%) were transfused with ABTs on demand. In the FCM preoperative cohort, there was an increase in patients with normal preoperative Hb, from 14.4 to 45.7%, before and after FCM, respectively, a decrease from 31.7 to 9.6% in moderate anaemia and no cases of severe anaemia after FCM administration, while 7.7% of patients were severely anaemic before FCM treatment. There were significant differences (p < 0.001) before and after correction of preoperative anaemia and/or iron deficiency with FCM in Hb, serum ferritin and transferrin saturation rate (TS). In the ABT group, there were significant differences between pre- and postoperative Hb levels (p < 0.001). Hb values tended to decrease, with 44.1% of patients moving from mild anaemia before transfusion to moderate anaemia in the postoperative period. Concerning the length of hospital stay, the group administered with ABTs had a longer hospital stay (p < 0.001). Regarding the clinical outcomes of nosocomial infection and mortality, there was no evidence that the rate of infection or mortality differed in each group (p = 0.075 and p = 0.243, respectively). However, there were fewer nosocomial infections in the FCM group (11.9% versus 21.2%) and mortality was higher in the transfusion group (21.2% versus 4.2%). Economic analysis showed that FCM could reduce allogenic blood products consumption and the associated costs. The economic impact of using FCM was around 19%. The preoperative Hb value improved when FMC was used. Patients who received ABTs appeared to have a longer hospital stay. The FCM group reported fewer infections during hospitalisation. The economic results showed savings of around €1000 for each patient with FCM administration. The use of FCM as part of the PBM program had a positive impact on patients' outcomes and on economic results. However, it will be essential to perform studies with a larger sample to obtain more robust and specific results.

Distinguishing Kingella kingae from Pyogenic Acute Septic Arthritis in Young Portuguese Children.

(1) Background: We aim to identify clinical and laboratorial parameters to distinguish Kingella kingae from pyogenic septic arthritis (SA). (2) Methods: A longitudinal, observational, single-centre study of children < 5 years old with microbiological positive SA admitted to a paediatric hospital from 2013−2020 was performed. Clinical and laboratorial data at admission and at 48 h, as well as on treatment and evolution, were obtained. (3) Results: We found a total of 75 children, 44 with K. kingae and 31 with pyogenic infections (mostly MSSA, S. pneumoniae and S. pyogenes). K. kingae affected younger children with low or absent fever, low inflammatory markers and a favourable prognosis. In the univariate analyses, fever, septic look, CRP and ESR at admission and CRP at 48 h were significantly lower in K. kingae SA. In the multivariate analyses, age > 6 months ≤ 2 years, apyrexy and CRP ≤ 100 mg/L were significative, with an overall predictive positive value of 86.5%, and 88.4% for K. kingae. For this model, ROC curves were capable of differentiating (AUC 0.861, 95% CI 0.767−0.955) K. kingae SA from typical pathogens. (4) Conclusions: Age > 6 months ≤ 2 years, apyrexy and PCR ≤ 100 mg/L were the main predictive factors to distinguish K. kingae from pyogenic SA < 5 years. These data need to be validated in a larger study.

Bayesian Latent Class Models in malaria diagnosis.

AIMS: The main focus of this study is to illustrate the importance of the statistical analysis in the evaluation of the accuracy of malaria diagnostic tests, without admitting a reference test, exploring a dataset (n=3317) collected in São Tomé and Príncipe. METHODS: Bayesian Latent Class Models (without and with constraints) are used to estimate the malaria infection prevalence, together with sensitivities, specificities, and predictive values of three diagnostic tests (RDT, Microscopy and PCR), in four subpopulations simultaneously based on a stratified analysis by age groups (< 5, ≥ 5 years old) and fever status (febrile, afebrile). RESULTS: In the afebrile individuals with at least five years old, the posterior mean of the malaria infection prevalence is 3.2% with a highest posterior density interval of [2.3-4.1]. The other three subpopulations (febrile ≥ 5 years, afebrile or febrile children less than 5 years) present a higher prevalence around 10.3% [8.8-11.7]. In afebrile children under-five years old, the sensitivity of microscopy is 50.5% [37.7-63.2]. In children under-five, the estimated sensitivities/specificities of RDT are 95.4% [90.3-99.5]/93.8% [91.6-96.0]--afebrile--and 94.1% [87.5-99.4]/97.5% [95.5-99.3]--febrile. In individuals with at least five years old are 96.0% [91.5-99.7]/98.7% [98.1-99.2]--afebrile--and 97.9% [95.3-99.8]/97.7% [96.6-98.6]--febrile. The PCR yields the most reliable results in four subpopulations. CONCLUSIONS: The utility of this RDT in the field seems to be relevant. However, in all subpopulations, data provide enough evidence to suggest caution with the positive predictive values of the RDT. Microscopy has poor sensitivity compared to the other tests, particularly, in the afebrile children less than 5 years. This type of findings reveals the danger of statistical analysis based on microscopy as a reference test. Bayesian Latent Class Models provide a powerful tool to evaluate malaria diagnostic tests, taking into account different groups of interest.

The economic impact of disease-related malnutrition at hospital admission.

BACKGROUND & AIMS: The reported frequency of disease-related malnutrition (DRM) for patients admitted to hospitals has been shown to be high, but an accurate estimate of the magnitude of its economic costs is lacking. The objective of this study was to determine the impact of DRM on hospitalization costs. METHODS: A probabilistic sample of 469 (50%) patients from two hospitals was recruited on a cross-sectional study. DRM was evaluated by the Nutritional Risk Screening-2002 instrument at hospital admission and hospitalization costs were calculated for each patient based on hospital length of stay and on the discharge diagnosis-related group (DRG) code. Estimates of the association between DRM and deviations from the mean cost within each DRG were carried out. RESULTS: Patients classified as nutritionally-at-risk accounted for 42% of the sample. Multivariate estimates of the determinants of cost deviation shows that the cost of treating a nutritionally-at-risk patient is 20% higher than the average of the respective DRG. Patients that are classified on DRG classes that have a higher relative weight are less likely to end up with hospitalization costs above the mean. CONCLUSIONS: Considering this sample case-mix, DRM can represent an increase in costs of 19.3%, or between 200 and 1500 euros, with a confidence of 95%.