Acute Human Bocavirus 1 Infection in Children Hospitalized for Acute Bronchiolitis: A 2-Year Prospective Study.

Background: The objective of this prospective study was to assess the proportion and clinical consequences of human bocavirus 1 (HBoV1) replication in children hospitalized for acute bronchiolitis (AB) with HBoV1 DNA in the nasopharynx (NP).

Methods: For this purpose, we detected HBoV1 DNA and mRNA (evidence of viral replication and viable virus) in NP in cases and healthy control children. This research allowed us to distinguish active HBoV1 infections from inactive ones.

Regression without regrets -initial data analysis is a prerequisite for multivariable regression.

Statistical regression models are used for predicting outcomes based on the values of some predictor variables or for describing the association of an outcome with predictors. With a data set at hand, a regression model can be easily fit with standard software packages. This bears the risk that data analysts may rush to perform sophisticated analyses without sufficient knowledge of basic properties, associations in and errors of their data, leading to wrong interpretation and presentation of the modeling results that lacks clarity.

Supplementation of vitamin E as an addition to a commercial renal diet does not prolong survival of cats with chronic kidney disease.

Background: The aim of this double-blind, placebo-controlled study was to investigate the effect of vitamin E supplementation as an addition to a commercial renal diet on survival time of cats with different stages of chronic kidney disease (CKD). In addition, we were interested whether vitamin E supplementation affects selected oxidative stress and clinical parameters. Thirty-four cats with CKD and 38 healthy cats were included in the study.

Initial data analysis for longitudinal studies to build a solid foundation for reproducible analysis.

Initial data analysis (IDA) is the part of the data pipeline that takes place between the end of data retrieval and the beginning of data analysis that addresses the research question. Systematic IDA and clear reporting of the IDA findings is an important step towards reproducible research. A general framework of IDA for observational studies includes data cleaning, data screening, and possible updates of pre-planned statistical analyses.

Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges.

Background: In high-dimensional data (HDD) settings, the number of variables associated with each observation is very large. Prominent examples of HDD in biomedical research include omics data with a large number of variables such as many measurements across the genome, proteome, or metabolome, as well as electronic health records data that have large numbers of variables recorded for each patient. The statistical analysis of such data requires knowledge and experience, sometimes of complex methods adapted to the respective research questions.

Leave-one-out cross-validation, penalization, and differential bias of some prediction model performance measures-a simulation study.

Background: The performance of models for binary outcomes can be described by measures such as the concordance statistic (c-statistic, area under the curve), the discrimination slope, or the Brier score. At internal validation, data resampling techniques, e.g.

Molecular Typing of Mastadenoviruses in Simultaneously Collected Nasopharyngeal Swabs and Stool Samples from Children Hospitalized for Acute Bronchiolitis, Acute Gastroenteritis, and Febrile Seizures.

This study determines and compares the frequency of human mastadenovirus (HAdV) presence in children with acute bronchiolitis (AB), acute gastroenteritis (AGE), and febrile seizures (FS), ascertains types of HAdVs associated with each individual syndrome and contrasts the findings with a control group of children. The presence of HAdVs was ascertained in simultaneously collected nasopharyngeal (NP) swabs and stool samples amplifying the hexon gene by RT-PCR; these were sequenced to determine the types of HAdVs. HAdVs were grouped into eight different genotypes.

Unique Clinical, Immune, and Genetic Signature in Patients with Borrelial Meningoradiculoneuritis.

Lyme neuroborreliosis (LNB) in Europe may manifest with painful meningoradiculoneuritis (also known as Bannwarth syndrome) or lymphocytic meningitis with or without cranial neuritis (peripheral facial palsy). We assessed host immune responses and the prevalence of TLR1 (toll-like receptor 1)-1805GG polymorphism to gain insights into the pathophysiology of these conditions. Regardless of LNB manifestation, most mediators associated with innate and adaptive immune responses were concentrated in cerebrospinal fluid; serum levels were unremarkable.

Organizing and Analyzing Data from the SHARE Study with an Application to Age and Sex Differences in Depressive Symptoms.

The SHARE study contains health, lifestyle, and socioeconomic data from individuals ages 50 and older in European countries collected over several waves. Leveraging these data for research purposes can be daunting due to the complex structure of the longitudinal design. The two aims of our study are (1) to develop a framework and R code for data management of the SHARE data to prepare for data analysis, and (2) to demonstrate how to apply the framework to a specific research question, where the aim is to model the presence of clinically significant depression assessed by the 12-item Europe depression scale.

Classification of weekly provincial overall age- and gender-specific mortality patterns during the COVID-19 epidemics in Italy.

Objectives: to provide a time-varying classification of the Italian provinces based on the weekly age- and gender-specific relative risks (RR) for overall mortality, obtained comparing the number of deaths from 13 weeks from the beginning of the COVID-19 epidemics, with the average number of deaths from the same period in 2015-19.

Design: population overall mortality data provided by the Italian National Statistical Office (Istat).

Setting And Participants: Italian residents 60 years or older from 7,357/7,904 Italian municipalities.

Identifying the Italian provinces with increased mortality during COVID-19 epidemics using the data made available by the Italian National Institute of Statistics. A methodological challenge.

Objectives: to identify the Italian provinces with excess mortality during the COVID-19 epidemics using the mortality data provided in April 2020 by the Italian National Institute of Statistics (Istat) that, by design, included only the municipalities with at least 20% mortality increase compared to the same period in 2015-19. Inference with the aim to identify increased mortality at provincial level was a very important task when the Istat data were released in April, but the naïve aggregation of the selected municipalities was not sensible to due to the selection criteria of the municipalities used by Istat.

Design: use of a permutation-based approach to identify the Italian provinces with excess mortality during the first month of the COVID-19 epidemics using the data made available from Istat and taking into account the biased inclusion criteria.

Restricted cubic splines for modelling periodic data.

In regression modelling the non-linear relationships between explanatory variables and outcome are often effectively modelled using restricted cubic splines (RCS). We focus on situations where the values of the outcome change periodically over time and we define an extension of RCS that considers periodicity by introducing numerical constraints. Practical examples include the estimation of seasonal variations, a common aim in virological research, or the study of hormonal fluctuations within menstrual cycle.

Course and Outcome of Erythema Migrans in Pregnant Women.

Information on Lyme borreliosis (LB) during pregnancy is limited. In the present study, the course and outcome of erythema migrans (EM) in 304 pregnant women, diagnosed in the period 1990-2015, was assessed and compared with that in age-matched non-pregnant women. The frequency of unfavorable outcome of pregnancies was also evaluated.

Hidden analyses: a review of reporting practice and recommendations for more transparent reporting of initial data analyses.

Background: In the data pipeline from the data collection process to the planned statistical analyses, initial data analysis (IDA) typically takes place between the end of the data collection and do not touch the research questions. A systematic process for IDA and clear reporting of the findings would help to understand the potential shortcomings of a dataset, such as missing values, or subgroups with small sample sizes, or shortcomings in the collection process, and to evaluate the impact of these shortcomings on the research results. A clear reporting of findings is also relevant when making datasets available to other researchers.

Inflammatory Immune Responses in Patients with Tick-Borne Encephalitis: Dynamics and Association with the Outcome of the Disease.

Information on the association of inflammatory immune responses and disease outcome after tick-borne encephalitis (TBE) is limited. In the present study, we assessed the levels of 24 cytokines/chemokines associated with innate and adaptive immune responses in matched serum and cerebrospinal fluid (CSF) samples of 81 patients at first visit, and in serum at follow-up time points. Serum levels of several cytokines/chemokines obtained during the meningoencephalitic phase of TBE differed compared to the levels at a follow-up visit 2 months later; several significant differences were also found in cytokine/chemokine levels in serum at 2 months compared to the last time point, 2-7 years after acute illness.

Increased perioperative C-reactive protein and decreased postoperative albumin is associated with acute posttraumatic osteomyelitis in patients with high-energy tibial fractures.

Background: Early diagnosis of acute posttraumatic osteomyelitis (POM) is of vital importance for avoiding devastating complications. Diagnosing POM is difficult due to the lack of a highly specific and sensitive test, such as in myocardial infarct, stroke and intracranial bleeding. Serum inflammatory markers, C-reactive protein (CRP), procalcitonin (PCT), white blood cells (WBC) can support clinical findings but they are not able to differentiate between inflammatory response to infection and the host response to non-infection insult with high specificity and sensitivity.

Providing patients visiting emergency departments with useful information using public real time data: A case study based on Italian data.

Rationale, Aims, And Objectives: Many hospitals provide some type of real time publicly available information about the crowding of the emergency departments (EDs). For example, at the time of writing, the number of patients waiting and in treatment is publicly available for EDs that cover more than half of the Italian population. However, usually, these data do not provide the key information that low-priority patients are seeking, which is the time they might expect to wait before being seen by a doctor.

Factors associated with severity of tick-borne encephalitis: A prospective observational study.

Background: Information on parameters associated with the severity of tick-borne encephalitis (TBE) is limited.

Methods: The association between 15 pre-defined parameters and the severity of TBE was evaluated in 717 consecutive adult patients diagnosed in Slovenia 2007-2012.

Results: Multivariable logistic regression showed that patient age (odds ratio, OR 1.