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Background: Little is known about the comparative risk of death with atypical or conventional antipsychotics (APs) among persons with cardiovascular or cerebrovascular disease (CCD). Research design and methods: A cohort study was conducted using five Italian claims databases. New atypical AP users with CCD aged ≥65 (reference) were matched to new conventional AP users. Mortality per 100 person-years (PYs) and hazard ratios (HR), estimated using Cox models, were reported. Incidence and risk of death were estimated for persons having drug–drug interactions. Outcome occurrence was evaluated 180 days after AP initiation. Results: Overall 24,711 and 27,051 elderly new conventional and atypical AP users were identified. The mortality rate was 51.3 and 38.5 deaths per 100 PYs for conventional and atypical AP users. Mortality risk was 1.33 (95%CI: 1.27–1.39) for conventional APs. There was no increased mortality risk with single drug–drug interactions (DDIs) vs. no DDI. AP users with ≥1 DDI had a 29% higher mortality risk compared to no DDI in the first 90 days of treatment (HR: 1.29 (95% CI: 1.00–1.67)). Conclusions: Conventional APs had a higher risk of death than atypical APs among elderly persons with CCD. Having ≥1 DDI was associated with an increased risk of death.

Enormous progress has been made globally in the use of evidence derived from patients’ clinical information as they access their routine medical care. The value of real-world data lies in their complementary nature compared with data from randomised controlled trials: less detailed information on drug efficacy but longer observational periods and larger, more heterogeneous study populations reflecting clinical practice because individuals are included who would not usually be recruited in trials. Real-world data can be collected in various types of electronic sources, such as electronic health records, claims databases and drug or disease registries. These data sources vary in nature from country to country, according to national healthcare system structures and national policies. In Italy, a growing number of healthcare databases have been used to evaluate post-marketing drug utilisation and safety in the last two decades. The aim of this narrative review is to describe the available Italian sources of real-world data and their contribution to generating post-marketing evidence on drug use and safety. We also discuss the strengths and limitations of the most commonly used Italian healthcare databases in addressing various research questions concerning drug utilisation, comparative effectiveness and safety studies, as well as health technology assessment and other areas.

MPI_AGE is a European Union co-funded research project aimed to use the Multidimensional Prognostic Index (MPI), a validated Comprehensive Geriatric Assessment (CGA)-based prognostic tool, to develop predictive rules that guide clinical and management decisions in older people in different European countries. A series of international studies performed in different settings have shown that the MPI is useful to predict mortality and risk of hospitalization in community-dwelling older subjects at population level. Furthermore, studies performed in older people who underwent a CGA before admission to a nursing home or receiving homecare services showed that the MPI successfully identified groups of persons who could benefit, in terms of reduced mortality, of specific therapies such as statins in diabetes mellitus and coronary artery disease, anticoagulants in atrial fibrillation and antidementia drugs in cognitive decline. A prospective trial carried out in nine hospitals in Europe and Australia demonstrated that the MPI was able to predict not only in-hospital and long-term mortality, but also institutionalization, re-hospitalization and receiving homecare services during the one-year follow-up after hospital discharge. The project also explored the association between MPI and mortality in hospitalized older patients in need of complex procedures such as transcatheter aortic valve implantation or enteral tube feeding. Evidence from these studies has prompted the MPI_AGE Investigators to formulate recommendations for healthcare providers, policy makers and the general population which may help to improve the cost-effectiveness of appropriate health care interventions for older patients.

Objective: The objective of this study was to investigate the relationship between adherence to statin therapy and the risk of exacerbation among elderly individuals affected by chronic obstructive pulmonary disease and cardiovascular disease. Methods: Using the healthcare utilisation databases of five Italian territorial units accounting for nearly 35% of the Italian population, we recruited a cohort of 6263 elderly persons (i.e. aged 65 years or older) with co-existing chronic obstructive pulmonary disease and cardiovascular disease who initiated statin therapy. Exposure was adherence to statins measured by the proportion of days of follow-up covered. Outcome was the first hospital admission for chronic obstructive pulmonary disease occurring in the period of observation. A proportional hazards model was used to estimate the hazard ratio and 95% confidence intervals for the exposure–outcome association, after adjusting for several covariates. A set of sensitivity analyses was performed to account for sources of systematic uncertainty. Results: During an average follow-up of about 4 years, 1307 cohort members experienced the outcome. Compared with patients with low adherence (proportion of days of follow-up covered ≤ 40%), those with intermediate (proportion of days of follow-up covered 41–80%) and high (proportion of days of follow-up covered > 80%) adherence exhibited a lower risk of exacerbation of 16% (95% confidence interval 3–27) and 23% (95% confidence interval 10–34). Conclusions: In a real-world setting, we observed evidence that adherence to statin therapy markedly reduced the risk of chronic obstructive pulmonary disease exacerbations in elderly patients with co-existing chronic obstructive pulmonary disease and cardiovascular disease. Given the limited and controversial evidence from trials, more randomised controlled trials are urgently needed to better examine the potential benefits of statins as adjunct therapy in chronic obstructive pulmonary disease.

Background and Objective: Conflicting findings from studies evaluating the association between use of antidepressant drugs and mortality have been reported. We tested the hypothesis that better adherence to antidepressant therapy may reduce mortality. Methods: The cohort included 29,845 individuals aged ≥ 65 years from several Italian health units who were newly treated with antidepressant drugs after hospital discharge with a diagnosis for cardiovascular disease during 2008–2010. These individuals were observed from the first prescription until the end of data availability (i.e. 2012–2014, depending on the local database). During this period, information on (1) prescription of antidepressants and other medications and (2) death from any cause (outcome) was recorded. Proportional hazards models were fitted to estimate the association between better adherence to antidepressants (defined as proportion of days covered ≥ 75%) and outcome, by adjusting and stratifying for several covariates. Results: Patients with better adherence to antidepressants had a reduced mortality of 9% (95% CI 3–14). Patients who did not use other medicaments during follow-up had reduced mortality associated with better adherence to antidepressants of 21% (− 1–38), 14% (7–20), 20% (13–26) and 13% (7–19) for no users of antihypertensive agents, lipid-lowering agents, other cardiovascular drugs and antidiabetics, respectively. Conclusions: Better adherence to antidepressants is associated with reduced all-cause mortality, mainly in patients who did not use other pharmacological treatments. Behavioural changes to enhance adherence among the elderly with cardiovascular disease might offer important benefits in reducing their mortality.

Paraganglioma of the infratemporal fossa is exceedingly rare, with no more than a handful of documented cases. Undiagnosed paraganglioma poses a great challenge. We present a 39-year-old hypertensive female, who presented with giddiness and headache for 3 months and four episodes of syncope over 3 months. CT and MRI revealed an enhancing infratemporal region space-occupying mass close proximity to petrous carotid artery. Intraoperatively, the patient had hemodynamic instability (tachycardia and hypertension) when the mass was surgically manipulated. Diagnosis of paraganglioma was suspected, based on hemodynamic instability, which was later confirmed by histopathology. Undiagnosed paraganglioma pose a great challenge to the anesthetic management. Low-threshold of suspicion has to be there to avoid significant morbidity and mortality.

Background Duchenne Muscular Dystrophy (DMD) is a rare disorder caused by mutations in the dystrophin gene. A recent systematic review and meta-analysis of global DMD epidemiology is not available. This study aimed to estimate the global overall and birth prevalence of DMD through an updated systematic review of the literature. Methods MEDLINE and EMBASE databases were searched for original research articles on the epidemiology of DMD from inception until 1st October 2019. Studies were included if they were original observational research articles written in English, reporting DMD prevalence and/or incidence along with the number of individuals of the underlying population. The quality of the studies was assessed using a STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) checklist adapted for observational studies on rare diseases. To derive the pooled epidemiological prevalence estimates, a meta-analysis was performed using random-effects logistic models for overall and birth prevalence and within two different underlying populations (i.e. all individuals and in males only), separately. Heterogeneity was assessed using Cochran’s Q-test along with its derived measure of inconsistency I2. Results A total of 44 studies reporting the global epidemiology of DMD were included in the systematic review and only 40 were included in the meta-analysis. The pooled global DMD prevalence was 7.1 cases (95% CI: 5.0–10.1) per 100,000 males and 2.8 cases (95% CI: 1.6–4.6) per 100,000 in the general population, while the pooled global DMD birth prevalence was 19.8 (95% CI:16.6–23.6) per 100,000 live male births. A very high between-study heterogeneity was found for each epidemiological outcome and for all underlying populations (I2 > 90%). The test for funnel plot asymmetry suggested the absence of publication bias. Of the 44 studies included in this systematic review, 36 (81.8%) were assessed as being of medium and 8 (18.2%) of low quality, while no study was assessed as being of high quality. Conclusions Generating epidemiological evidence on DMD is fundamental to support public health decision-making. The high heterogeneity and the lack of high quality studies highlights the need to conduct better quality studies on rare diseases.

Introduction Coronavirus disease (COVID-19), caused by severe acute respiratory syndrome coronavirus (SARS-CoV-2), has quickly spread around the world. Areas covered This review will discuss the available immunologic and clinical evidence to support the benefit of the influenza, pneumococcal, and tuberculosis vaccines in the context of COVID-19 as well as to provide an overview on the COVID-19-specific vaccines that are in the development pipeline. In addition, implications for vaccination strategies from a public health perspective will be discussed. Expert opinion Some vaccines are being considered for their potentially beneficial role in preventing or improving the prognosis of COVID-19: influenza, pneumococcal and tuberculosis vaccines. These vaccines may have either direct effect on COVID-19 via different types of immune responses or indirect effects by reducing the burden of viral and bacterial respiratory diseases on individual patients and national healthcare system and by facilitating differential diagnoses with other viral/bacterial respiratory disease. On the other hand, a large number of candidate vaccines against SARS-CoV-2 are currently in the pipeline and undergoing phase I, II, and III clinical studies. As SARS-CoV-2 vaccines are expected to be marketed through accelerated regulatory pathways, vaccinovigilance as well as planning of a successful vaccination campaign will play a major role in protecting public health.

Introduction It is generally acknowledged that the ocular safety profile of intravitreal anti-VEGF drugs is acceptable, while the burden of systemic safety of these intravitreal agents is still being debated. The evaluation of the systemic safety of these drugs using real-world data (RWD), such as spontaneous reporting systems (SRS), electronic medical records (EMRs) and claims databases has several advantages, including the capture of outcomes among real-world populations over long observation periods. Nevertheless, there is a relatively small body of research exploring the post-marketing safety of these drugs. Areas covered The aim of this scoping review is to outline and discuss some of the methodological challenges to be faced when investigating the systemic safety of intravitreal anti-VEGF drugs using different sources of RWD. Expert opinion Such challenges include the selection of the most suitable data source, taking into account how well drug utilization is captured and whether the outcomes and covariates of interest can be captured. The strengths and limitations of some analytic methods that can be used to quantify risk, such as the intention-to-treat approach and the as-treated approach, complement each other, and using these together provides a more balanced analysis.

Background: In a globally aging population, chronic conditions with a high impact on healthcare costs and quality of life, such as osteoporosis and associated fractures, are a matter of concern. For osteoporosis, several drug treatments are available, but evidence on adverse cardiovascular and cerebrovascular (CCV) events, and in particular the risk of atrial fibrillation (AF), related to anti-osteoporotic drug use is inconclusive. The objective of this study was to evaluate the association between the use of bisphosphonates (BPs), strontium ranelate (SR), and other anti-osteoporosis drugs and the risk of AF and CCV events in a large cohort of patients affected by CCV diseases. Methods: Based on a cohort of patients aged 65 years and over, discharged from the hospitals of five large Italian areas after a CCV event between 2008 and 2011, two nested case-control studies were conducted. Cases were patients with a subsequent hospital admission for AF or CCV; four controls for each case were randomly selected and matched by age group, sex and follow-up time. A total of three exposure measures were tested: ever use, adherence and recency of use. In the conditional logistic regression models, patients not treated with any anti-osteoporotic medication were considered as the reference category. Results: The initial cohort accounted for 657,246 patients. Neither BPs nor SR use was associated with an increased risk of AF regardless of the adherence and recency of use. Overall BP and SR use was associated with a slightly increased risk of CCV; however, results reversed when considering higher adherence: odds ratio (OR) 0.81, 95% confidence interval (CI) 0.71-0.92 for BPs and OR 0.71, 95% CI 0.52-0.97 for SR. Conclusions: BPs do not increase cardiovascular risk and can be prescribed to elderly patients for osteoporosis treatment. However, patients with pre-existing cerebrovascular/cardiovascular conditions should be carefully monitored.

IntroductionAnalgesics such as non-steroidal anti-inflammatory drugs (NSAIDs), weak and strong opioids are commonly used among elderly persons. The aim of this study was to describe the demographic and clinical characteristics of elderly analgesic users and to measure the frequency of analgesic use, including the frequency of potentially inappropriate analgesic use.MethodsThe Arianna database was used to carry out this study. This database contains prescription data with associated indication of use for 1,076,486 inhabitants registered with their general practitioners (GPs) in the Caserta Local Health Unit (Caserta district, Campania region in Italy). A cohort of persons aged ≥65 years old with >1 year of database history having at least one analgesic drug (NSAIDs, strong or weak opioids) between 2010 and 2014 were identified. The date of the first analgesic prescription in the study period was considered the index date (ID).ResultsFrom a source population of 1,076,486 persons, 116,486 elderly persons were identified. Of these, 94,820 elderly persons received at least one analgesic drug: 36.6% were incident NSAID users (N = 36,629), while 13.2% were incident weak opioid users (N = 12,485) and 8.1% were incident strong opioid users (N = 7,658). In terms of inappropriate analgesic use, 9.2% (N = 10,763) of all elderly users were prescribed ketorolac/indomethacin inappropriately, since these drugs should not be prescribed to elderly persons. Furthermore, at least half all elderly persons with chronic kidney disease or congestive heart failure were prescribed NSAIDs, while these drugs should be avoided.ConclusionAnalgesics are commonly used inappropriately among elderly persons, suggesting that prescribing practice in the catchment area may yet be improved.

BACKGROUND: There are conflicting findings from observational studies of the arrhythrogenic potential of azithromycin. Our aim was to quantify the association between azithromycin use and the risk of ventricular arrhythmia.METHODS: We conducted a nested case-control study within a cohort of new antibiotic users identified from a network of 7 population-based health care databases in Denmark, Germany, Italy, the Netherlands and the United Kingdom for the period 1997-2010. Up to 100 controls per case were selected and matched by age, sex and database. Recency of antibiotic use and type of drug (azithromycin was the exposure of interest) at the index date (occurrence of ventricular arrhythmia) were identified. We estimated the odds of ventricular arrhythmia associated with current azithromycin use relative to current amoxicillin use or nonuse of antibiotics (≥ 365 d without antibiotic exposure) using conditional logistic regression, adjusting for confounders.RESULTS: We identified 14 040 688 new antibiotic users who met the inclusion criteria. Ventricular arrhythmia developed in 12 874, of whom 30 were current azithromycin users. The mean age of the cases and controls was 63 years, and two-thirds were male. In the pooled data analyses across databases, azithromycin use was associated with an increased risk of ventricular arrhythmia relative to nonuse of antibiotics (adjusted odds ratio [OR] 1.97, 95% confidence interval [CI] 1.35-2.86). This increased risk disappeared when current amoxicillin use was the comparator (adjusted OR 0.90, 95% CI 0.48-1.71). Database-specific estimates and meta-analysis confirmed results from the pooled data analysis.INTERPRETATION: Current azithromycin use was associated with an increased risk of ventricular arrhythmia when compared with nonuse of antibiotics, but not when compared with current amoxicillin use. The decreased risk with an active comparator suggests significant confounding by indication.