Perinatal and Antibiotic Exposures and the Risk of Developing Childhood-Onset Inflammatory Bowel Disease: A Nested Case-Control Study Based on a Population-Based Birth Cohort.

The role of early-life environmental exposures on Inflammatory Bowel Disease (IBD) onset remains unclear. We aimed to quantify the impact of perinatal conditions and antibiotic use in the first 6 and 12 months of life, on the risk of childhood-onset IBD, in a birth cohort of the region Friuli-Venezia Giulia (Italy). A nested case-control design on a longitudinal cohort of 213,515 newborns was adopted. Conditional binomial regression models were used to estimate Odds Ratios (OR) with 95% confidence intervals (CI) for all analyzed risk factors. We identified 164 individuals with IBD onset before the age of 18 years and 1640 controls. None of the considered perinatal conditions were associated with IBD. Analyses on antibiotic exposure were based on 70 cases and 700 controls. Risks were significantly higher for children with ≥4 antibiotic prescriptions in the first 6 and 12 months of life (OR = 6.34; 95%CI 1.68-24.02 and OR = 2.91; 95%CI 1.31-6.45, respectively). This association was present only among patients with Crohn's disease and those with earlier IBD onset. We found that perinatal characteristics were not associated to IBD, while the frequent use of antibiotics during the first year of life was associated to an increased risk of developing subsequent childhood-onset IBD.

A Systematic Review of Case-Identification Algorithms for 18 Conditions Based on Italian Healthcare Administrative Databases: A Study Protocol.

BACKGROUND: there has been a long-standing, consistent use worldwide of Healthcare Administrative Databases (HADs) for epidemiological purposes, especially to identify acute and chronic health conditions. These databases are able to reflect health-related conditions at a population level through disease-specific case-identification algorithms that combine information coded in multiple HADs. In Italy, in the past 10 years, HAD-based case-identification algorithms have experienced a constant increase, with a significant extension of the spectrum of identifiable diseases. Besides estimating incidence and/or prevalence of diseases, these algorithms have been used to enroll cohorts, monitor quality of care, assess the effect of environmental exposure, and identify health outcomes in analytic studies. Despite the rapid increase in the use of case-identification algorithms, information on their accuracy and misclassification rate is currently unavailable for most conditions. OBJECTIVES: to define a protocol to systematically review algorithms used in Italy in the past 10 years for the identification of several chronic and acute diseases, providing an accessible overview to future users in the Italian and international context. METHODS: PubMed will be searched for original research articles, published between 2007 and 2017, in Italian or English. The search string consists of a combination of free text and MeSH terms with a common part on HADs and a disease-specific part. All identified papers will be screened for eligibility by two independent reviewers. All articles that used/defined an algorithm for the identification of each disease of interest using Italian HADs will be included. Algorithms with exclusive use of death certificates, pathology register, general practitioner or pediatrician data will be excluded. Pertinent papers will be classified according to the objective for which the algorithm was used, and only articles that used algorithms with "primary objectives" (I disease occurrence; II population/cohort selection; III outcome identification) will be considered for algorithm extraction. The HADs used (hospital discharge records, drug prescriptions, etc.), ICD-9 and ICD-10 codes, ATC classification of drugs, follow-back periods, and age ranges applied by the algorithms will be collected. Further information on specific accuracy measures from external validations, sensitivity analyses, and the contribution of each source will be recorded. This protocol will be applied for 16 different systematic reviews concerning eighteen diseases (Hypothyroidism, Hyperthyroidism, Diabetes mellitus, Type 1 diabetes mellitus, Acute myocardial infarction, Ischemic heart disease, Stroke, Hypertension, Heart failure, Congenital heart anomalies, Parkinson's disease, Multiple sclerosis, Epilepsy, Chronic obstructive pulmonary disease, Asthma, Inflammatory bowel disease, Celiac disease, Chronic kidney failure). CONCLUSION: this protocol defines a standardized approach to extensively examine and compare all experiences of case identification algorithms in Italy, on the 18 abovementioned diseases. The methodology proposed may be applied to other systematic reviews concerning diseases not included in this project, as well as other settings, including international ones. Considering the increasing availability of healthcare data, developing standard criteria to describe and update characteristics of published algorithms would be of great use to enhance awareness in the choice of algorithms and provide a greater comparability of results.

A Systematic Review of Case-Identification Algorithms Based on Italian Healthcare Administrative Databases for Three Relevant Diseases of the Nervous System: Parkinson's Disease, Multiple Sclerosis, and Epilepsy.

BACKGROUND: Parkinson's Disease (PD), Multiple Sclerosis (MS), and Epilepsy are three highly impactful health conditions affecting the nervous system. PD, MS, and epilepsy cases can be identified by means of Healthcare Administrative Databases (HADs) to estimate the occurrence of these diseases, to better monitor the adherence to treatments, and to evaluate patients' outcomes. Nevertheless, the absence of a validated and standardized approach makes it hard to quantify case misclassification. OBJECTIVES: to identify and describe all PD, MS, and epilepsy case-identification algorithms by means of Italian HADs, through the review of papers published in the past 10 years. METHODS: this study is part of a project that systematically reviewed case-identification algorithms for 18 acute and chronic conditions by means of HADs in Italy. PubMed was searched for original articles, published between 2007 and 2017, in Italian or English. The search string consisted of a combination of free text and MeSH terms with a common part that focused on HADs and a disease-specific part. All identified papers were screened by two independent reviewers. Pertinent papers were classified according to the objective for which the algorithm had been used, and only articles that used algorithms for primary objectives (I disease occurrence; II population/cohort selection; III outcome identification) were considered for algorithm extraction. The HADs used (hospital discharge records, drug prescriptions, etc.), ICD-9 and ICD-10 codes, ATC classification of drugs, follow-back periods, and age ranges applied by the algorithms have been reported. Further information on specific objective(s), accuracy measures, sensitivity analyses and the contribution of each HAD, have also been recorded. RESULTS: the search strategy led to the identification of 70 papers for PD, 154 for MS, and 100 for epilepsy, of which 3 papers for PD, 6 for MS, and 5 for epilepsy were considered pertinent. Most articles were published in the last three years (2014-2017) and focused on a region-wide setting. Out of all pertinent articles, 3 original algorithms for PD, 4 for MS, and 4 for epilepsy were identified. The Drug Prescription Database (DPD) and Hospital Discharge record Database (HDD) were used by almost all PD, MS, and epilepsy case-identification algorithms. The Exemption from healthcare Co-payment Database (ECD) was used by all PD and MS case-identification algorithms, while only 1 epilepsy case-identification algorithm used this source. All epilepsy case-identification algorithms were based on at least a combination of electroencephalogram (EEG) and drug prescriptions. An external validation had been performed by 2 papers for MS, 2 for epilepsy, and only 1 for PD. CONCLUSION: the results of our review highlighted the scarce use of HADs for the identification of cases affected by neurological diseases in Italy. While PD and MS algorithms are not so heterogeneous, epilepsy case-identification algorithms have increased in complexity over time. Further validations are needed to better understand the specific characteristics of these algorithms.

A Systematic Review of Case-Identification Algorithms Based on Italian Healthcare Administrative Databases for Two Relevant Diseases of the Respiratory System: Asthma and Chronic Obstructive Pulmonary Disease.

OBJECTIVES: to identify and describe all asthma and Chronic Obstructive Pulmonary Disease (COPD) case-identification algorithms by means of Italian Healthcare Administrative Databases (HADs), through the review of papers published in the past 10 years. METHODS: this study is part of a project that systematically reviewed case-identification algorithms for 18 acute and chronic conditions by means of HADs in Italy. PubMed was searched for original articles, published between 2007 and 2017, in Italian or English. The search string consisted of a combination of free text and MeSH terms with a common part that focused on HADs and a disease-specific part. All identified papers were screened by two independent reviewers; exclusion criteria were the following: no description of reported algorithms, algorithm developed outside of the Italian context, exclusive use of death certificates, pathology register, general practitioner or pediatrician data. Pertinent papers were classified according to the objective for which the algorithm had been used, and only articles that used algorithms for primary objectives (I disease occurrence; II population/cohort selection; III outcome identification) were considered for algorithm extraction. The HADs used (hospital discharge records, drug prescriptions, etc.), ICD-9 and ICD-10 codes, ATC classification of drugs, follow-back periods, and age ranges applied by the algorithms have been reported. Further information on specific objective(s), accuracy measures, sensitivity analyses and the contribution of each HAD, have also been recorded. RESULTS: the search string led to the identification of 98 and 147 papers, respectively for asthma and COPD. By screening the references, 2 papers for asthma and 7 for COPD were added. At the end of the screening process, 14 pertinent papers were identified for asthma and 31 for COPD. Half of these used healthcare data covering a time period between 2008 and 2014. More than 75% considered the age range 6-17 for asthma and >=45 for COPD. About one-third of the articles used algorithms to estimate the occurrence of these diseases. Fourteen algorithms for asthma and 16 for COPD were extracted from the papers and characterized. The Drug Prescription Database (DPD) was used by almost all asthma case-identification algorithms, while only 7 COPD algorithms used this data source. The spectrum of active ingredients was strongly overlapping between the two diseases, with different combinations of drugs and administration routes, as well as specific number of prescriptions, follow-back years, and age ranges. Age class and chronic treatment were the main disease-specific traits that emerged from the algorithms. Three external validation processes have been performed for asthma and three for COPD. High accuracy levels have been found for asthma. COPD sensitivity analyses were unsatisfactory, while a high specificity was found for algorithms based on hospital discharge records. CONCLUSION: elements from the review on the use of healthcare administrative databases represent a useful tool to decide which algorithm to adopt, based on the algorithm's individual requirements, limits, and accuracy, taking into account the specific research objective.

A Systematic Review of Case-Identification Algorithms Based on Italian Healthcare Administrative Databases for Three Relevant Diseases of the Digestive and Genitourinary System: Inflammatory Bowel Diseases, Celiac Disease, and Chronic Kidney Disease.

OBJECTIVES: to identify and describe all Inflammatory Bowel Disease (IBD), Celiac Disease (CD), and Chronic Kidney Disease (CKD) case-identification algorithms by means of Italian Healthcare Administrative Databases (HADs), through a review of papers published in the past 10 years. METHODS: this study is part of a project that systematically reviewed case-identification algorithms for 18 acute and chronic conditions by means of HADs in Italy. PubMed was searched for original articles, published between 2007 and 2017, in Italian or English. The search string consisted of a combination of free text and MeSH terms with a common part that focused on HADs and a disease-specific part. All identified papers were screened by two independent reviewers; exclusion criteria were the following: no details of algorithms reported, algorithm not developed in the Italian context, exclusive use of data from the death certificate register, or from general practitioner or pediatrician databases. Pertinent papers were classified according to the objective for which the algorithm had been used, and only articles that used algorithms for primary objectives (I disease occurrence, II population/cohort selection, III outcome identification) were considered for algorithm extraction. The HADs used (hospital discharge records, drug prescriptions, etc.), ICD-9 and ICD-10 codes, ATC classification of drugs, followback periods, and age ranges applied by the algorithms have been reported. Further information on specific objective(s), accuracy measures, sensitivity analyses and the contribution of each HAD, have also been recorded. RESULTS: the search string led to the identification of 98 articles for IBD, 42 articles for CD, and 390 for CKD. By screening the references, one paper for IBD was added. Finally, this led to 5, 9, and 8 pertinent papers respectively for IBD, CD, and CKD. Considering the papers on IBD and CD, specific age selections were applied to focus on children and young adult populations. When a selection on age was applied for CKD, instead, it mostly considered individuals aged more than 18 years. Three algorithms for IBD, 4 for CD, and 5 for CKD were extracted from papers and characterized. Drug prescription databases were used for both IBD and CKD algorithms, whereas the hospital discharge database and co-payment exemption database were used for IBD and CD. Pathology records and specialist visit databases were also used for CD and CKD, respectively. For each disease only one algorithm applied criteria for the exclusion of prevalent cases. External validation was performed only for Crohn's disease among IBDs, in one algorithm. CONCLUSIONS: the results of this review indicate that case identification for IBD and CD from routinely collected data can be considered feasible and can be used to perform different kinds of epidemiological studies. The same is not true for CKD, which requires further efforts, mainly to improve the detection of early stage patients.

High quality process of care increases one-year survival after acute myocardial infarction (AMI): A cohort study in Italy.

BACKGROUND: The relationship between guideline adherence and outcomes in patients with acute myocardial infarction (AMI) has been widely investigated considering the emergency, acute, post-acute phases separately, but the effectiveness of the whole care process is not known. AIM: The study aim was to evaluate the effect of the multicomponent continuum of care on 1-year survival after AMI. METHODS: We conducted a cohort study selecting all incident cases of AMI from health information systems during 2011-2014 in the Lazio region. Patients' clinical history was defined by retrieving previous hospitalizations and drugs prescriptions. For each subject the probability to reach the hospital and the conditional probabilities to survive to 30 days from admission and to 31-365 days post discharge were estimated through multivariate logistic models. The 1-year survival probability was calculated as the product of the three probabilities. Quality of care indicators were identified in terms of emergency timeliness (time between residence and the nearest hospital), hospital performance in treatment of acute phase (number/timeliness of PCI on STEMI) and drug therapy in post-acute phase (number of drugs among antiplatelet, ß-blockers, ACE inhibitors/ARBs, statins). The 1-year survival Probability Ratio (PR) and its Bootstrap Confidence Intervals (BCI) between who were exposed to the highest level of quality of care (timeliness<10', hospitalization in high performance hospital, complete drug therapy) and who exposed to the worst (timeliness≥10', hospitalization in low performance hospital, suboptimal drug therapy) were calculated for a mean-severity patient and varying gender and age. PRs for patients with diabetes and COPD were also evaluated. RESULTS: We identified 38,517 incident cases of AMI. The out-of-hospital mortality was 27.6%. Among the people arrived in hospital, 42.9% had a hospitalization for STEMI with 11.1% of mortality in acute phase and 5.4% in post-acute phase. For a mean-severity patient the PR was 1.19 (BCI 1.14-1.24). The ratio did not change by gender, while it moved from 1.06 (BCI 1.05-1.08) for age<65 years to 1.62 (BCI 1.45-1.80) for age >85 years. For patients with diabetes and COPD a slight increase in PRs was also observed. CONCLUSIONS: The 1-year survival probability post AMI depends strongly on the quality of the whole multicomponent continuum of care. Improving the performance in the different phases, taking into account the relationship among these, can lead to considerable saving of lives, in particular for the elderly and for subjects with chronic diseases.

[Validation of algorithms for the identification of subjects with chronic disease using health information systems]. / Validazione di algoritmi per l'identificazione di persone con patologia cronica attraverso i dati dei sistemi informativi.

OBJECTIVES: to test the validity of algorithms to identify diabetes, chronic obstructive pulmonary disease (COPD), hypertension, and hypothyroidism from routinely collected health data using information from self-reported diagnosis and laboratory or functional test. SETTING AND PARTICIPANTS: clinical or self-reported diagnosis from three surveys conducted in Lazio Region (Central Italy) between year 2010 and 2014 were assumed as gold standard and compared to the results of the algorithms application to administrative data. MAIN OUTCOME MEASURES: prevalence resulted from administrative data and from information available in the surveys were compared. Sensitivity, specificity, positive predictive value, and positive likelihood ratio of algorithms with respect to self-reported diagnosis, laboratory or functional test, assumed as gold standards, were calculated. RESULTS: we analyzed data of 7,318 subjects (1,545 for diabetes, 1,783 for COPD, 2,448 for hypertension, and 1,542 for hypothyroidism). For hypertension and hypothyroidism, we observed a higher prevalence from laboratory or functional test compared to self-reported diagnosis (54.5% vs. 44.9% and 7.5% vs. 1.5%). Sensitivity of administrative data with respect to self-reported diagnosis resulted 90.9%, 38.5%, 88.3%, and 47.8%, respectively, for diabetes, COPD, hypertension, and hypothyroidism. Respectively, specificity was 97.4%, 91.7%, 84.8% and 91.8%; positive predictive value was 70,9%, 38.1%, 82.6% and 8.1%. All values of positive likelihood ratio resulted moderate (about 5), with exception of the diabetes algorithm and the disease-specific payment exemptions register for hypertension (respectively 35.5 and 17.4). CONCLUSION: hypertension and hypothyroidism resulted markedly underdiagnosed from self-reported data. Case identification algorithms are highly specific, allowing their utilization for selection of cohort of subject affected by chronic diseases. The sub-optimal sensitivity observed for COPD and hypothyroidism could limit the utilization of the algorithms for prevalence estimation.

Population-based cohort study on comparative effectiveness and safety of biologics in inflammatory bowel disease.

BACKGROUND: The comparison of effectiveness and safety of anti-tumor necrosis factor-alpha agents for the treatment of inflammatory bowel disease (IBD) is relevant for clinical practice and stakeholders. OBJECTIVE: The objective of this study was to compare the risk of abdominal surgery, steroid utilization, and hospitalization for infection in Crohn's disease (CD) or ulcerative colitis (UC) patients newly treated with infliximab (IFX) or adalimumab (ADA). METHODS: A retrospective population-based cohort study was performed using health information systems data from Lazio region, Italy. Patients with CD or UC diagnosis were enrolled at first prescription of IFX or ADA during 2008-2014 (index date). Only new drug users were followed for 2 years from the index date. IFX versus ADA adjusted hazard ratios were calculated applying "intention-to-treat" approach, controlling for several characteristics and stratifying the analysis on steroid use according to previous drug utilization. Sensitivity analyses were performed according to "as-treated" approach, adjusting for propensity score, censoring at switching or discontinuation, and evaluating different lengths of follow-up periods. RESULTS: We enrolled 1,432 IBD patients (42% and 83% exposed to IFX for CD and UC, respectively). In both diseases, treatment effects did not differ in any outcome considered, and sensitivity analyses confirmed the results from the main analysis. CONCLUSION: In our population-based cohort study, effectiveness and safety data in new users of ADA or IFX with CD or UC were comparable for the outcomes we tested.

Air pollution and occurrence of type 2 diabetes in a large cohort study.

The few cohort studies that have investigated the association between exposure to air pollution and occurrence of diabetes have reported conflicting results. We aimed to evaluate the association of long-term exposure to particulate matter (PM), nitrogen oxides (NOx) and ozone (O3), with baseline prevalence and incidence of type 2 diabetes in a large administrative cohort in Rome, Italy. A total of 1,425,580 subjects aged 35+years (January 1st, 2008) were assessed and followed for six years. We estimated PM10, PM2.5-10, PM2.5, NO2, and NOx exposures at residence using land use regression models, and summer O3 exposure using dispersion modeling. To estimate the association between air pollutant exposures and prevalence and incidence of diabetes, we used logistic and Cox regression models, considering individual, environmental (noise and green areas), and contextual characteristics. We identified 106,387 prevalent cases at baseline and 65,955 incident cases during the follow-up period. We found positive associations between nitrogen oxides exposures and prevalence of diabetes with odds ratios (ORs) up to 1.010 (95% CI: 1.002, 1.017) and 1.015 (1.009, 1.021) for NO2 and NOx, respectively, per fixed increases (per 10µg/m3 and 20µg/m3, respectively). We also found some evidence of an association between NOx and O3 and incidence of diabetes, with hazard ratios (HRs) of 1.011 (95%CI: 1.003-1.019) and 1.015 (1.002-1.027) per 20 and 10µg/m3 increases, respectively. The association with O3 with incident diabetes was stronger in women than in men and among those aged <50years. In sum, long-term exposure to nitrogen oxides was associated with prevalent diabetes while NOx and O3 exposures were associated with incident diabetes.

The Tradeoff between Travel Time from Home to Hospital and Door to Balloon Time in Determining Mortality among STEMI Patients Undergoing PCI.

BACKGROUND: In ST-segment elevation myocardial infarction (STEMI), even in presence of short door to balloon time (DTBT), timely reperfusion with percutaneous coronary intervention (PCI) is hampered by pre-hospital delays. Travel time (TT) constitutes a relevant part of these delays and may contribute to worse outcomes. OBJECTIVE: To evaluate the relationship between TT from home to hospital and DTBT on 30-day mortality after PCI among patients with STEMI. METHODS: We enrolled a cohort of 3,608 STEMI patients with a DTBT within 120 minutes who underwent PCI between years 2009 and 2013 in Lazio Region (Italy). We calculated the minimum travel time from residential address to emergency department where the first medical contact occurred. We defined system delay as the sum of travel time and DTBT time. Logistic regression models, including clinical and demographic characteristics were used to estimate the effect of TT and DTBT on mortality. RESULTS: Among patients with 0-90 minutes of system delay, TT above the median value is positively associated with mortality (OR = 2.46; P = 0.009). Survival benefit associated with DTBT below the median results only among patients with TT below the median (OR for DTBT below the median = 0.39; P = 0.013), (OR for interaction between TT and DTBT = 2.36; p = 0.076). CONCLUSION: TT affects survival after PCI for STEMI, even in the presence of health care systems compliant with current guidelines. Results emphasize the importance of health system initiatives to reduce pre-hospital delay. Utilization of TT can contribute to a better estimate of patient mortality risk in the evaluation of quality of care.

Socioeconomic differences in one-year survival after ischemic stroke: the effect of acute and post-acute care-pathways in a cohort study.

BACKGROUND: The reasons for socioeconomic inequity in stroke mortality are not well understood. The aim of this study was to explore the role of ischemic stroke care-pathways on the association between education level and one-year survival after hospital admission. METHODS: Hospitalizations for ischemic stroke during 2011/12 were selected from Lazio health data. Patients' clinical history was defined by retrieving previous hospitalizations and drugs prescriptions. The association between education level and mortality after stroke was studied for acute and post-acute phases using multilevel logistic models (Odds Ratio (OR)). Different scenarios of quality care-pathways were identified considering hospital performance, access to rehabilitation and drug treatment post-discharge. The probability to survive to acute and post-acute phases according to education level and care-pathway scenarios was estimated for a "mean-severity" patient. One-year survival probability was calculated as the product of two probabilities. For each scenario, the 1-year survival probability ratio, university versus elementary education, and its Bootstrap Confidence Intervals (95 % BCI) were calculated. RESULTS: We identified 9,958 patients with ischemic stroke, 53.3 % with elementary education level and 3.2 % with university. The mortality was 14.9 % in acute phase and 14.3 % in post-acute phase among survived to the acute phase. The adjusted mortality in acute and post-acute phases decreased with an increase in educational level (OR = 0.90 p-trend < 0.001; OR = 0.85 p-trend < 0.001). For the best care-pathway, the one-year survival probability ratio was 1.06 (95 % BCI = 1.03-1.10), while it was 1.17 (95 % BCI = 1.09-1.25) for the worst. CONCLUSIONS: Education level was inversely associated with mortality both in acute and post-acute phases. The care-pathway reduces but does not eliminate 1-year survival inequity.

Occurrence of inflammatory bowel disease in central Italy: a study based on health information systems.

BACKGROUND: The burden of inflammatory bowel diseases, including Crohn's disease and ulcerative colitis, has never been estimated in Italy using administrative data sources. Our objective was to measure the occurrence of inflammatory bowel diseases in the Lazio region (Italy) using administrative data and to test the sensitivity of the Crohn's disease case-finding algorithm with respect to clinical diagnosis. METHODS: We conducted a population-based cross-sectional study identifying prevalent and incident cases. We estimated occurrence rates of inflammatory bowel diseases using hospital discharges or activation of copayment exemptions. Sensitivity was calculated from 2358 subjects with clinical diagnosis of Crohn's disease. RESULTS: Exemptions identified more than 20% of the cases. Prevalence rates (per 100,000) on December 31, 2009 for males and females were 177 and 144 for ulcerative colitis and 91 and 81 for Crohn's disease, respectively. The incidence rates during the years 2008-2009 were 14.5 and 12.2 for ulcerative colitis and 7.4 and 6.5 for Crohn's disease for males and females, respectively. The sensitivity of the administrative sources was 82.2%. CONCLUSIONS: Health and population data sources allow the estimation of inflammatory bowel diseases occurrence. The age-specific peaks of diagnosis were consistent with those reported in other studies. Sensitivity may be affected by temporal changes in the quality of the data sources.

Characteristics of early transient, persistent, and late onset wheezers at 9 to 11 years of age.

STUDY OBJECTIVE: To investigate the early determinants and characteristics of different phenotypes of wheeze in children on the basis of questionnaire data, lung function, and prick tests. DESIGN: Cross-sectional survey. Setting. Rome and Fiumicino municipalities in Lazio region, Italy, within the ISAAC phase II project. SUBJECTS: Sample of 2107 9-11 year old schoolchildren (response rate 83.5%). RESULTS: We divided children into four mutually exclusive groups according to onset of wheeze: 154 early transient (birth to age 2), 51 persistent (birth to age 2 and current), 66 late onset (current only), and 1,446 control subjects (no early or current wheeze). Logistic regression models have shown that a family history of asthma and allergies is strongly associated with persistent and late onset wheezing; exposure to parental smoking--both during pregnancy and during the child's first year of life--is related to persistent wheezing; all children with wheezing show a significantly greater risk to have current respiratory symptoms other than wheeze compared with control subjects; current allergic rhinoconjunctivitis symptoms and atopy are related with both persistent and late onset wheeze. Multiple linear regression models show that forced expiratory rates at 25% to 75% of vital capacity (FEF25-75) and the ratio between forced expiratory volume in 1 second and forced vital capacity (FEV1/FVC) are significantly lower both in early transient (-305 mL/s, -1.7%) and persistent (-298 mL/s, -3.2%) wheezers; FEV1/FVC is significantly reduced in late onset wheezers too (-2.0%). CONCLUSIONS: The strength of the association of family history and exposure to parental smoking varies with the three wheezing phenotypes. Moreover, early, persistent and late onset wheezers have different clinical characteristics in terms of their respiratory health and atopic status.

[Asthma and allergies in childhood in Rome: Italian contribution to the ISAAC II]. / Asma e allergie in età pediatrica a Roma: il contributo italiano a ISAAC II.

A study about the frequency of respiratory and allergic disorders in childhood was carried out in Rome, during the 2000-2001 school year. This survey represents the Italian contribution to the second phase of the International Study on Asthma and Allergies in Childhood (ISAAC Phase Two). A properly filled in ISAAC Phase II questionnaire was returned by parents of 1,760 children attending the fifth grade in primary school (83.5% of the target). Prick tests were performed to provide an objective measure of atopy, defined as skin reactivity to one or more allergens. The presence of visible flexural dermatitis was determined through skin examination. Lifetime prevalence for asthma, allergic rhinitis and eczema was 12.4%, 13.2% and 15.1%, respectively. Period prevalence in the last 12 months was 7.0% for attacks of wheezing or whistling in the chest, 9.1% for rhinitis symptoms, and 9.5% for dermatitis symptoms. A total of 1.6% of the children under examination had a visible flexural dermatitis. Of the children who performed prick test, 31.8% was skin positive at least to one of the adopted allergens. An international comparison with the results of other ISAAC Phase Two studies (conducted in Albania, Germany, Hong Kong, UK and Sweden) has shown that Rome and Hong Kong were the areas with the highest prevalence rate for atopy, but had comparatively low proportions of asthmatic subjects. This inconsistency suggests that factors other than atopy could be responsible for the geographic epidemiological distribution of asthma.