The modest impact of assisted reproductive technology on the second birth: insights from a population-based study in Lombardy, Northern Italy

BACKGROUND

In the field of assisted reproductive technology (ART), family rate is a neglected but emerging issue. The aim of the study was to investigate the epidemiological impact of ART on the second birth during the period 2007-2020 in Lombardy, Northern Italy.

METHODS

We conducted a population-based study using administrative data from regional healthcare databases of Lombardy including first and second births occurred from 2007 to 2020. The proportion of deliveries after ART was calculated separately among first and second births. The probability of undergoing ART to achieve second birth compared to first one was estimated computing odds ratio (OR), crude and adjusted for maternal age, education, and nationality. We also assessed changes with age and calendar period.

RESULTS

We obtained a cohort including 553,190 first births and 317,976 second births. The proportion of ART babies among first and second births was 4.3% and 1.0% respectively (p < 0.001). The probability of undergoing ART to achieve second birth compared to first one, adjusted for age, education, and nationality, was 0.14 (95%CI: 0.13-0.15). The proportion of deliveries after ART increased with maternal age and along the calendar period but remained always markedly higher among first births rather than among second births.

CONCLUSION

ART played a significantly lower role in the determinism of the conception of a second birth in comparison to the conception of a first one.

Improved prediction of 5-year mortality by updating the chronic related score for risk profiling in the general population: lessons from the italian region of Lombardy

Objective

The aim of this study was to improve the performance of the Chronic Related Score (CReSc) in predicting mortality and healthcare needs in the general population.

Methods

A population-based study was conducted, including all beneficiaries of the Regional Health Service of Lombardy, Italy, aged 18 years or older in January 2015. Each individual was classified as exposed or unexposed to 69 candidate predictors measured before baseline, updated to include four mental health disorders. Conditions independently associated with 5-year mortality were selected using the Cox regression model on a random sample including 5.4 million citizens. The predictive performance of the obtained CReSc-2.0 was assessed on the remaining 2.7 million citizens through discrimination and calibration.

Results

A total of 35 conditions significantly contributed to the CReSc-2.0, among which Alzheimer's and Parkinson's diseases, dementia, heart failure, active neoplasm, and kidney dialysis contributed the most to the score. Approximately 36% of citizens suffered from at least one condition. CReSc-2.0 discrimination performance was remarkable, with an area under the receiver operating characteristic curve of 0.83. Trends toward increasing short-term (1-year) and long-term (5-year) rates of mortality, hospital admission, hospital stay, and healthcare costs were observed as CReSc-2.0 increased.

Conclusion

CReSC-2.0 represents an improved tool for stratifying populations according to healthcare needs.

The integrated structure of care: evidence for the efficacy of models of clinical governance in the prevention of fragility fractures after recent sentinel fracture after the age of 50 years

Randomized clinical trials and observational studies on the implementation of clinical governance models, in patients who had experienced a fragility fracture, were examined. Literature was systematically reviewed and summarized by a panel of experts who formulated recommendations for the Italian guideline.

PURPOSE

After experiencing a fracture, several strategies may be adopted to reduce the risk of recurrent fragility fractures and associated morbidity and mortality. Clinical governance models, such as the fracture liaison service (FLS), have been introduced for the identification, treatment, and monitoring of patients with secondary fragility fractures. A systematic review was conducted to evaluate the association between multidisciplinary care systems and several outcomes in patients with a fragility fracture in the context of the development of the Italian Guidelines.

METHODS

PubMed, Embase, and the Cochrane Library were investigated up to December 2020 to update the search of the Scottish Intercollegiate Guidelines Network. Randomized clinical trials (RCTs) and observational studies that analyzed clinical governance models in patients who had experienced a fragility fracture were eligible. Three authors independently extracted data and appraised the risk of bias in the included studies. The quality of evidence was assessed using the Grading of Recommendations Assessment, Development, and Evaluation methodology. Effect sizes were pooled in a meta-analysis using random-effects models. Primary outcomes were bone mineral density values, antiosteoporotic therapy initiation, adherence to antiosteoporotic medications, subsequent fracture, and mortality risk, while secondary outcomes were quality of life and physical performance.

RESULTS

Fifteen RCTs and 62 observational studies, ranging from very low to low quality for bone mineral density values, antiosteoporotic initiation, adherence to antiosteoporotic medications, subsequent fracture, mortality, met our inclusion criteria. The implementation of clinical governance models compared to their pre-implementation or standard care/non-attenders significantly improved BMD testing rate, and increased the number of patients who initiated antiosteoporotic therapy and enhanced their adherence to the medications. Moreover, the treatment by clinical governance model respect to standard care/non-attenders significantly reduced the risk of subsequent fracture and mortality. The integrated structure of care enhanced the quality of life and physical function among patients with fragility fractures.

CONCLUSIONS

Based on our findings, clinicians should promote the management of patients experiencing a fragility fracture through structured and integrated models of care. The task force has formulated appropriate recommendations on the implementation of multidisciplinary care systems in patients with, or at risk of, fragility fractures.

Capturing the variety of clinical pathways in patients with schizophrenic disorders through state sequences analysis

BACKGROUND

Care pathways are increasingly being used to enhance the quality of care and optimize the use of resources for health care. Nevertheless, recommendations regarding the sequence of care are mostly based on consensus-based decisions as there is a lack of evidence on effective treatment sequences. In a real-world setting, classical statistical tools were insufficient to consider a phenomenon with such high variability adequately and have to be integrated with novel data mining techniques suitable for identifying patterns in complex data structures. Data-driven techniques can potentially support empirically identifying effective care sequences by extracting them from data collected routinely. The purpose of this study is to perform a state sequence analysis (SSA) to identify different patterns of treatment and to asses whether sequence analysis may be a useful tool for profiling patients according to the treatment pattern.

METHODS

The clinical application that motivated the study of this method concerns the mental health field. In fact, the care pathways of patients affected by severe mental disorders often do not correspond to the standards required by the guidelines in this field. In particular, we analyzed patients with schizophrenic disorders (i.e., schizophrenia, schizotypal or delusional disorders) using administrative data from 2015 to 2018 from Lombardy Region. This methodology considers the patient's therapeutic path as a conceptual unit, composed of a succession of different states, and we show how SSA can be used to describe longitudinal patient status.

RESULTS

We define the states to be the weekly coverage of different treatments (psychiatric visits, psychosocial interventions, and anti-psychotic drugs), and we use the longest common subsequences (dis)similarity measure to compare and cluster the sequences. We obtained three different clusters with very different patterns of treatments.

CONCLUSIONS

This kind of information, such as common patterns of care that allowed us to risk profile patients, can provide health policymakers an opportunity to plan optimum and individualized patient care by allocating appropriate resources, analyzing trends in the health status of a population, and finding the risk factors that can be leveraged to prevent the decline of mental health status at the population level.

Coping with COVID: risk and resilience factors for mental health in a German representative panel study

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic might affect mental health. Data from population-representative panel surveys with multiple waves including pre-COVID data investigating risk and protective factors are still rare.

METHODS

In a stratified random sample of the German household population (n = 6684), we conducted survey-weighted multiple linear regressions to determine the association of various psychological risk and protective factors assessed between 2015 and 2020 with changes in psychological distress [(PD; measured via Patient Health Questionnaire for Depression and Anxiety (PHQ-4)] from pre-pandemic (average of 2016 and 2019) to peri-pandemic (both 2020 and 2021) time points. Control analyses on PD change between two pre-pandemic time points (2016 and 2019) were conducted. Regularized regressions were computed to inform on which factors were statistically most influential in the multicollinear setting.

RESULTS

PHQ-4 scores in 2020 (M = 2.45) and 2021 (M = 2.21) were elevated compared to 2019 (M = 1.79). Several risk factors (catastrophizing, neuroticism, and asking for instrumental support) and protective factors (perceived stress recovery, positive reappraisal, and optimism) were identified for the peri-pandemic outcomes. Control analyses revealed that in pre-pandemic times, neuroticism and optimism were predominantly related to PD changes. Regularized regression mostly confirmed the results and highlighted perceived stress recovery as most consistent influential protective factor across peri-pandemic outcomes.

CONCLUSIONS

We identified several psychological risk and protective factors related to PD outcomes during the COVID-19 pandemic. A comparison of pre-pandemic data stresses the relevance of longitudinal assessments to potentially reconcile contradictory findings. Implications and suggestions for targeted prevention and intervention programs during highly stressful times such as pandemics are discussed.

Medication holidays in osteoporosis: evidence-based recommendations from the Italian guidelines on 'Diagnosis, risk stratification, and continuity of care of fragility fractures' based on a systematic literature review

Background

Noncommunicable, chronic diseases need pharmacological interventions for long periods or even throughout life. The temporary or permanent cessation of medication for a specific period, known as a 'medication holiday,' should be planned by healthcare professionals.

Objectives

We evaluated the association between continuity (adherence or persistence) of treatment and several outcomes in patients with fragility fractures in the context of the development of the Italian Guidelines.

Design

Systematic review.

Data Sources and Methods

We systematically searched PubMed, Embase, and the Cochrane Library up to November 2020 for randomized clinical trials (RCTs) and observational studies that analyzed medication holidays in patients with fragility fracture. Three authors independently extracted data and appraised the risk of bias of the included studies. The quality of evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation methodology. Effect sizes were pooled in a meta-analysis using random effects models. Primary outcomes were refracture and quality of life; secondary outcomes were mortality and treatment-related adverse events.

Results

Six RCTs and nine observational studies met our inclusion criteria, ranging from very low to moderate quality. The adherence to antiosteoporotic drugs was associated with a lower risk of nonvertebral fracture [relative risk (RR) 0.42, 95% confidence interval (CI) 0.20-0.87; three studies] than nonadherence, whereas no difference was detected in the health-related quality of life. A reduction in refracture risk was observed when continuous treatment was compared to discontinuous therapy (RR 0.49, 95% CI 0.25-0.98; three studies). A lower mortality rate was detected for the adherence and persistence measures, while no significant differences were noted in gastrointestinal side effects in individuals undergoing continuous versus discontinuous treatment.

Conclusion

Our findings suggest that clinicians should promote adherence and persistence to antiosteoporotic treatment in patients with fragility fractures unless serious adverse effects occur.

The quality of mental health care for people with bipolar disorders in the Italian mental health system: the QUADIM project

BACKGROUND

The assessment of the quality of care pathways delivered to people with severe mental disorders in a community-based system remains uncommon, especially using healthcare utilization databases. The aim of the study was to evaluate the quality of care provided to people with bipolar disorders taken-in-care by mental health services of four Italian areas (Lombardy, Emilia-Romagna, Lazio, province of Palermo).

METHODS

Thirty-six quality indicators were implemented to assess quality of mental health care for patients with bipolar disorders, according to three dimensions (accessibility and appropriateness, continuity, and safety). Data were retrieved from healthcare utilization (HCU) databases, which contain data on mental health treatments, hospital admissions, outpatient interventions, laboratory tests and drug prescriptions.

RESULTS

29,242 prevalent and 752 incident cases taken-in-care by regional mental health services with a diagnosis of bipolar disorder in 2015 were identified. Age-standardized treated prevalence rate was 16.2 (per 10,000 adult residents) and treated incidence rate 1.3. In the year of evaluation, 97% of prevalent cases had ≥ 1 outpatient/day-care contacts and 88% had ≥ 1 psychiatric visits. The median of outpatient/day-care contacts was 9.3 interventions per-year. Psychoeducation was provided to 3.5% of patients and psychotherapy to 11.5%, with low intensity. 63% prevalent cases were treated with antipsychotics, 71.5% with mood stabilizers, 46.6% with antidepressants. Appropriate laboratory tests were conducted in less than one-third of prevalent patients with a prescription of antipsychotics; three quarters of those with a prescription of lithium. Lower proportions were observed for incident patients. In prevalent patients, the Standardized Mortality Ratio was 1.35 (95% CI: 1.26-1.44): 1.18 (1.07-1.29) in females, 1.60 (1.45-1.77) in males. Heterogeneity across areas was considerable in both cohorts.

CONCLUSIONS

We found a meaningful treatment gap in bipolar disorders in Italian mental health services, suggesting that the fact they are entirely community-based does not assure sufficient coverage by itself. Continuity of contacts was sufficient, but intensity of care was low, suggesting the risk of suboptimal treatment and low effectiveness. Care pathways were monitored and evaluated using administrative healthcare databases, adding evidence that such data may contribute to assess the quality of clinical pathways in mental health.

Are we equally at risk of changing smoking behavior during a public health crisis? Impact of educational level on smoking from the TEMPO cohort

BACKGROUND

The COVID-19 pandemic as a public health crisis has led to a significant increase in mental health difficulties. Smoking is strongly associated with mental health conditions, which is why the pandemic might have influenced the otherwise decline in smoking rates. Persons belonging to socioeconomically disadvantaged groups may be particularly affected, both because the pandemic has exacerbated existing social inequalities and because this group was more likely to smoke before the pandemic. We examined smoking prevalence in a French cohort study, focusing on differences between educational attainment. In addition, we examined the association between interpersonal changes in tobacco consumption and educational level from 2018 to 2021.

METHODS

Using four assessments of smoking status available from 2009 to 2021, we estimated smoking prevalence over time, stratified by highest educational level in the TEMPO cohort and the difference was tested using chi² test. We studied the association between interpersonal change in smoking status between 2018 and 2021 and educational attainment among 148 smokers, using multinomial logistic regression.

RESULTS

Smoking prevalence was higher among those with low education. The difference between the two groups increased from 2020 to 2021 (4.8-9.4%, p < 0.001). Smokers with high educational level were more likely to decrease their tobacco consumption from 2018 to 2021 compared to low educated smokers (aOR = 2.72 [1.26;5.89]).

CONCLUSION

Current findings showed a widening of the social inequality gap in relation to smoking rates, underscoring the increased vulnerability of persons with low educational level to smoking and the likely inadequate focus on social inequalities in relation to tobacco control policies during the pandemic.

Natural and vaccine-induced immunity are equivalent for the protection against SARS-CoV-2 infection

OBJECTIVES

To compare the long-term cumulative risk of SARS-CoV-2 infection associated with natural and vaccine-induced immunity.

METHODS

Retrospective population-based cohort study based on registry of COVID-19 vaccinations and SARS-CoV-2 infections among 9.1 million citizens of Lombardy, Italy, eligible for vaccination on 27th December 2020. Those who developed SARS-CoV-2 infection from 24th May to 14th September 2021, provided they did not yet receive the COVID-19 vaccine when infection was confirmed, and those who received the second mRNA vaccine dose, provided they had not yet developed the infection, were selected to be 1:1 matched for sex, age and index date. The latter corresponded to 90 days after confirmed infection or 14 days after vaccine administration. A control cohort including citizens who, on the index date, had neither developed infection nor received vaccination was also selected. Kaplan-Meier curves were used for comparing the cumulative incidence of new SARS-CoV-2 infection from the index date until 22nd June 2022.

RESULTS

Overall, 19,418 1:1:1 risk-sets were included. After 9 months of follow-up, the cumulative risk of new SARS-CoV-2 infection was 21.8%, 22.0%, and 25.9%, respectively, among exposed to natural immunity, vaccine-induced immunity and unexposed.

CONCLUSIONS

Equivalent potential for protecting against new SARS-CoV-2 infection was observed.

Web-based surveillance of respiratory infection outbreaks: retrospective analysis of Italian COVID-19 epidemic waves using Google Trends

Introduction

Large-scale diagnostic testing has been proven insufficient to promptly monitor the spread of the Coronavirus disease 2019. Electronic resources may provide better insight into the early detection of epidemics. We aimed to retrospectively explore whether the Google search volume has been useful in detecting Severe Acute Respiratory Syndrome Coronavirus outbreaks early compared to the swab-based surveillance system.

Methods

The Google Trends website was used by applying the research to three Italian regions (Lombardy, Marche, and Sicily), covering 16 million Italian citizens. An autoregressive-moving-average model was fitted, and residual charts were plotted to detect outliers in weekly searches of five keywords. Signals that occurred during periods labelled as free from epidemics were used to measure Positive Predictive Values and False Negative Rates in anticipating the epidemic wave occurrence.

Results

Signals from "fever," "cough," and "sore throat" showed better performance than those from "loss of smell" and "loss of taste." More than 80% of true epidemic waves were detected early by the occurrence of at least an outlier signal in Lombardy, although this implies a 20% false alarm signals. Performance was poorer for Sicily and Marche.

Conclusion

Monitoring the volume of Google searches can be a valuable tool for early detection of respiratory infectious disease outbreaks, particularly in areas with high access to home internet. The inclusion of web-based syndromic keywords is promising as it could facilitate the containment of COVID-19 and perhaps other unknown infectious diseases in the future.

Small-area deprivation index does not improve the capability of multisource comorbidity score in mortality prediction

Background

The stratification of the general population according to health needs allows to provide better-tailored services. A simple score called Multisource Comorbidity Score (MCS) has been developed and validated for predicting several outcomes. The aim of this study was to evaluate whether the ability of MCS in predicting 1-year mortality improves by incorporating socioeconomic data (as measured by a deprivation index).

Methods

Beneficiaries of the Italian National Health Service who in the index year (2018) were aged 50-85 years and were resident in the Sicily region for at least 2 years were identified. For each individual, the MCS was calculated according to his/her clinical profile, and the deprivation index of the census unit level of the individual's residence was collected. Frailty models were fitted to assess the relationship between the indexes (MCS and deprivation index) and 1-year mortality. Akaike information criterion and Bayesian information criterion statistics were used to compare the goodness of fit of the model that included only MCS and the model that also contained the deprivation index. The models were further compared by means of the area under the receiver operating characteristic curve (AUC).

Results

The final cohort included 1,062,221 individuals, with a mortality rate of 15.6 deaths per 1,000 person-years. Both MCS and deprivation index were positively associated with mortality.The goodness of fit statistics of the two models were very similar. For MCS only and MCS plus deprivation index models, Akaike information criterion were 17,013 and 17,038, respectively, whereas Bayesian information criterion were 16,997 and 17,000, respectively. The AUC values were 0.78 for both models.

Conclusion

The present study shows that socioeconomic features as measured by the deprivation index did not improve the capability of MCS in predicting 1-year risk of death. Future studies are needed to investigate other sources of data to enhance the risk stratification of populations.

Characterizing non-communicable disease trends in undocumented migrants over a period of 10 years in Italy

Undocumented migrants represent a large part of the population in Countries of the European Union (EU) such as Italy. Their health burden is not fully understood and likely to be related mainly to chronic conditions. Information on their health needs and conditions may help to target public health interventions but is not found in national public health databases. We conducted a retrospective observational study of non-communicable disease (NCD) burden and management in undocumented migrants receiving medical care from Opera San Francesco, a non-governmental organization (NGO) in Milan, Italy. We analyzed the health records of 53,683 clients over a period of 10 years and collected data on demographics, diagnosis and pharmacological treatments prescribed. 17,292 (32.2%) of clients had one or more NCD diagnosis. The proportion of clients suffering from at least one NCD increased from 2011 to 2020. The risk of having an NCD was lower in men than women (RR = 0.88, 95% CI 0.86-0.89), increased with age (p for trend < 0.001) and changed with ethnicity. African and Asian migrants had a lower risk than Europeans of cardiovascular diseases (RR 0.62 CI 0.58-0.67, RR 0.85 CI 0.78-0.92 respectively) and mental health disorders (RR 0.66 CI 0.61-0.71, RR 0.60 CI 0.54-0.67 respectively), while the risk was higher in Latin American people (RR 1.07 CI 1.01-1.13, RR 1.18 CI 1.11-1.25). There was a higher risk of diabetes in those from Asia and Latin America (RR 1.68 CI 1.44-1.97, RR 1.39 CI 1.21-1.60). Overall, migrants from Latin America had the greatest risk of chronic disease and this was true for diabetes, cardiovascular diseases and mental health disorders. Undocumented migrants demonstrate a significantly different health burden of NCDs, which varies with ethnicity and background. Data from NGOs providing them with medical assistance should be included in structuring public health interventions aimed at the prevention and treatment of NCDs. This could help to better allocate resources and address their health needs.

Assessment and Monitoring of the Quality of Clinical Pathways in Patients with Depressive Disorders: Results from a Multiregional Italian Investigation on Mental Health Care Quality (the QUADIM Project)

Ensuring adequate quality of care to patients with severe mental disorders remains a challenge. The implementation of clinical indicators aimed at assessing the quality of health care pathways delivered is crucial for the improvement of mental health services (MHS). This study aims to evaluate the quality of care delivered to patients who are taken-into-care with depressive disorders by MHS. Thirty-four clinical indicators concerning accessibility, appropriateness, continuity, and safety were estimated using health care utilization databases from four Italian regions (Lombardy, Emilia-Romagna, Lazio, Sicily). A total of 78,924 prevalent patients treated for depressive disorders in 2015 were identified, of whom 15,234 were newly engaged by MHS. During the year of follow-up, access to psychotherapeutic interventions was low, while the intensity was adequate; 5.1% of prevalent patients received at least one hospitalization in a psychiatric ward (GHPW), and 3.3% in the cohort of newly engaged in services. Five-out-of-10 patients had contact with community services within 14 days after GHPW discharge, but less than half of patients were persistent to antidepressant drug therapy. Furthermore, prevalent patients showed an excess of mortality compared to the general population (SMR = 1.35; IC 95%: 1.26-1.44). In conclusion, the quality of health care is not delivered in accordance with evidence-based mental health standards. Evaluation of health interventions are fundamental strategies for improving the quality and equity of health care.

Sex-Related Differences in Outpatient Healthcare of Acute Coronary Syndrome: Evidence from an Italian Real-World Investigation

At the time of first acute coronary syndrome (ACS) hospital admission, women are generally older and have more comorbidities than men, which may explain differences in their short-term prognosis. However, few studies have focused on differences in the out-of-hospital management of men and women. This study investigated (i) the risk of clinical outcomes, (ii) the use of out-of-hospital healthcare and (iii) the effects of clinical recommendations on outcomes in men vs. women. A total of 90,779 residents of the Lombardy Region (Italy) were hospitalized for ACS from 2011 to 2015. Exposure to prescribed drugs, diagnostic procedures, laboratory tests, and cardiac rehabilitation in the first year after ACS hospitalization were recorded. To evaluate whether sex can modify the relationship between clinical recommendations and outcomes, adjusted Cox models were separately fitted for men and women. Women were exposed to fewer treatments, required fewer outpatient services than men and had a lower risk of long-term clinical events. The stratified analysis showed an association between adherence to clinical recommendations and a lower risk of clinical outcomes in both sexes. Since improved adherence to clinical recommendations seems to be beneficial for both sexes, tight out-of-hospital healthcare control should be recommended to achieve favourable clinical benefits.

Prevalence and Factors Associated With Intertwin Birth Weight Discordance Among Same-Sex Twins in Lombardy, Northern Italy

This population-based cohort study investigated the prevalence, potential risk factors, and consequences of birth weight discordance (BWD) among same-sex twins. We retrieved data from the automated system of healthcare utilization databases of Lombardy Region, Northern Italy (2007-2021). BWD was defined as 30% or more disparity in birth weights between the larger and the smaller twin. Multivariate logistic regression was used to analyze the risk factors of BWD in deliveries with same-sex twins. In addition, the distribution of several neonatal outcomes was assessed overall and according to BWD level (i.e., ≤20%, 21-29, and ≥30%). Finally, a stratified analysis by BWD was performed to assess the relationship between assisted reproductive technologies (ART) and neonatal outcomes. We identified 11,096 same-sex twin deliveries; 556 (5.0%) pairs of twins were affected by BWD. Multivariate logistic regression analysis showed that maternal age ≥35 years (OR 1.26, 95% CI [1.05,5.51]), low level of education (OR 1.34, 95% CI [1.05, 1.70]), and ART (OR 1.16, 95% CI [0.94, 1.44], almost significant due to the low power) were independent risk factors for BWD in same-sex twins. Conversely, parity (OR 0.73, 95% CI [0.60, 0.89]) was inversely related. All the adverse outcomes observed were more common among BWD pairs than non-BWD ones. Instead, a protective effect of ART was observed for most neonatal outcomes considered among BWD twins. Our results suggest that conception after ART increases the risk of developing a high disparity between the weights of the two twins. However, the presence of BWD may complicate twin pregnancies, compromising neonatal outcomes, regardless of the modality of conception.

Impact of the First and Second Lockdown for COVID-19 Pandemic on Preterm Birth, Low Birth Weight, Stillbirth, Mode of Labor, and of Delivery in Lombardy, Italy

We investigated the effect of lockdown measures implemented in Lombardy on selected obstetric and perinatal outcomes. Births that occurred during the two lockdowns imposed (i.e., the first from 16 March to 2 June 2020 and the second from 3 November 2020 to 5 April 2021) and the comparison periods (i.e., the first from 16 March to 2 June 2018 and the second from 3 November 2018 to 5 April 2019) were identified using regional healthcare databases. The distribution of births according to the selected outcomes was computed and the Chi-square test was used for testing differences in the periods compared. During the two lockdowns, we observed a lower proportion of low birth weight, from 6.8% in the comparison period to 6.1% in the first lockdown (p = 0.019), and from 6.5% to 6.1% in the second one (p = 0.109). The proportion of preterm births decreased from 6.8% to 6.3% in the first lockdown (p = 0.097), and from 6.2% to 6.0% in the second one (p = 0.172). No differences in stillbirth rate emerged for both lockdowns. Induction of labor was more frequent during both lockdowns, from 28.6% to 32.7% in the first (p < 0.0001), and from 29.9% to 33.2% in the second one (p < 0.0001). Cesarean section was less frequent during the second lockdown.

Adherence to antidiabetic drug therapy and reduction of fatal events in elderly frail patients

BACKGROUND

To evaluate the protective effect of oral antidiabetic drugs in a large cohort of elderly patients with type 2 diabetes differing for age, clinical status, and life expectancy, including patients with multiple comorbidities and short survival.

METHODS

A nested case-control study was carried out by including the cohort of 188,983 patients from Lombardy (Italy), aged ≥ 65 years, who received ≥ 3 consecutive prescriptions of antidiabetic agents (mostly metformin and other older conventional agents) during 2012. Cases were the 49,201 patients who died for any cause during follow-up (up to 2018). A control was randomly selected for each case. Adherence to drug therapy was measured by considering the proportion of days of the follow-up covered by the drug prescriptions. Conditional logistic regression was used to model the risk of outcome associated with adherence to antidiabetic drugs. The analysis was stratified according to four categories of the clinical status (good, intermediate, poor, and very poor) differing for life expectancy.

RESULTS

There was a steep increase in comorbidities and a marked reduction of the 6-year survival from the very good to the very poor (or frail) clinical category. Progressive increase in adherence to treatment was associated with a progressive decrease in the risk of all-cause mortality in all clinical categories and at all ages (65-74, 75-84 and ≥ 85 years) except for the frail patient subgroup aged ≥ 85 years. The mortality reduction from lowest to highest adherence level showed a tendency to be lower in frail patients compared to the other categories. Similar although less consistent results were obtained for cardiovascular mortality.

CONCLUSIONS

In elderly diabetic patients, increased adherence to antidiabetic drugs is associated with a reduction in the risk of mortality regardless of the patients' clinical status and age, with the exception of very old patients (age ≥ 85 years) in the very poor or frail clinical category. However, in the frail patient category the benefit of treatment appears to be less than in patients in good clinical conditions.

Effectiveness and economic impact of Dupilumab in asthma: a population-based cohort study

RATIONALE

Severe asthma is burdened by relevant socio-economic and clinical impact. Randomized controlled trials on Dupilumab showed efficacy and a good safety profile, but post-market studies are needed.

OBJECTIVES

To evaluate the impact of Dupilumab on (i) the use of anti-asthmatic drugs, including oral corticosteroids (OCS), (ii) the rates of asthma exacerbation-related hospital admissions, and (iii) the healthcare costs in patients with asthma.

METHODS

Data were retrieved from Healthcare Utilization database of Lombardy region (Italy). We compared healthcare resources use between the 6 months after Dupilumab initiation ("post-intervention period") and (i) the 6 months before Dupilumab initiation ("wash-out period") and (ii) the corresponding 6 months of the prior year ("pre-intervention period").

MAIN RESULTS

In a cohort of 176 patients, Dupilumab significantly reduced anti-asthmatic drugs use (including OCS and short-acting β2-agonists, inhaled corticosteroids (ICS)/long-acting β2-agonists and ICS alone) when comparing the "pre-intervention" to the "post-intervention" period. When considering hospital admissions, we observed a not statistically or marginally significant reduction between both periods before Dupilumab and the post-intervention period. Six-months discontinuation rate was 8%. Overall healthcare costs had a tenfold increase between the "pre-intervention" and "post-intervention" period, which was mainly led by the biologic drug cost. Conversely, expenditures connected to hospital admissions did not change.

CONCLUSIONS

Our real-world investigation suggests that Dupilumab reduced anti-asthmatic drugs use, including OCS, in comparison to a corresponding period in the prior year. However, long-term healthcare sustainability remains an open issue.

Effects of Renal Denervation on Sympathetic Nerve Traffic and Correlates in Drug-Resistant and Uncontrolled Hypertension: A Systematic Review and Meta-Analysis

BACKGROUND

Whether and to what extent the reported blood pressure (BP) lowering effects of renal denervation (RDN) are associated with a central sympathoinhibition is controversial. We examined this issue by performing a meta-analysis of the microneurographic studies evaluating the BP and muscle sympathetic nerve activity (MSNA) responses to RDN in drug-resistant or uncontrolled hypertension (RHT).

METHODS

This analysis comprised 11 studies including a total of >400 RHT patients undergoing RDN and were followed up for 6 months. Evaluation was extended to the relationships of MSNA with clinic heart rate and BP changes associated with RDN.

RESULTS

MSNA showed a significant reduction after RDN (-4.78 bursts/100 heart beats; P<0.04), which was also accompanied by a significant systolic (-11.45 mm Hg; P<0.002) and diastolic (-5.24 mm Hg; P=0.0001) BP decrease. No significant quantitative relationship was found between MSNA and systolic (r=-0.96, P=0.19) or diastolic BP (r=-0.97, P=0.23) responses to RDN. This was also the case for clinic heart rate (r=0.53, P=0.78, respectively), whose post RDN values were not significant different from the pre-RDN ones. More than 10 renal nerves ablations were found to be needed for obtaining a significant sympathoinhibition.

CONCLUSIONS

This meta-analysis, the first ever done on the MSNA responses to RDN, shows that in a consistent number of RHT patients RDN is associated with a significant, although modest, central sympathoinhibition, which appears to be unrelated to the BP lowering effects of the procedure. Thus factors other than the central sympathetic outflow inhibition may concur at the BP lowering effects of RDN.

[Extended release calcifediol and paricalcitol in the treatment of secondary hyperparathyroidism: a network meta-analysis of indirect comparison]

Introduction: Secondary hyperparathyroidism (SHPT) is a common and major complication of chronic kidney disease (CKD) among patients on dialysis and in patients with CKD stage G3 to G5. SHPT in CKD is caused by disturbances in metabolic parameters. Paricalcitol (PCT), other active vitamin D analogous (doxercalciferol and alfacalcidol), and active vitamin D (calcitriol) have been commonly used to treat SHPT in non-dialysis CKD (ND-CKD) for several years. However, recent studies indicate that these therapies adversely increase serum calcium, phosphate, and fibroblast growth factor 23 (FGF-23) levels. Extended release calcifediol (ERC) has been developed as an alternative treatment for SHPT in ND-CKD. The present meta-analysis compares the effect of ERC against PCT in the control of PTH and calcium levels. Methods: A systematic literature review was conducted, according to Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines to identify studies for inclusion in the Network Meta-Analysis (NMA). Results: 18 publications were eligible for inclusion in the network meta-analysis and 9 articles were included in the final NMA. The estimated PTH reduction from PCT (-59.5 pg/ml) was larger than the PTH reduction from ERC (-45.3 pg/ml), but the difference in treatment effects did not show statistical significance. Treatment with PCT caused statistically significant increases in calcium vs. placebo (increase: 0.31 mg/dl), while the marginal increase in calcium from treatment with ERC (increase: 0.10 mg/dl) did not reach statistical significance. Conclusions: The evidence suggests that both PCT and ERC are effective in reducing levels of PTH, whereas calcium levels tended to increase from treatment with PCT. Therefore, ERC may be an equally effective, but more tolerable treatment alternative to PCT.

Trends in the incidence of major birth defects after assisted reproductive technologies in Lombardy Region, Northern Italy

PURPOSE

The incidence of birth defects is increased in children born after assisted reproductive technologies (ART). However, changes in ART over time could influence this incidence. To investigate this issue, we present the frequency and trends of birth defects in ART and natural pregnancies in Lombardy, Northern Italy, during the period 2014-2020.

METHODS

This is a population-based study using automated system of healthcare utilization (HCU) databases. ART pregnancies included only those obtained with conventional IVF or ICSI. After identifying the total number of deliveries, the rate of newborns with birth defects was compared between natural and ART pregnancies. A logistic regression model was used to calculate the adjusted odd ratio (OR). Analyses were repeated for every calendar year.

RESULTS

Overall, 508,421 deliveries were identified, of which 14,067 (2.8%) were achieved after IVF-ICSI. A decreasing trend in birth defects over time was highlighted. The adjusted OR dropped from 1.40 (95%CI: 1.03-1.91) in 2014 to 0.92 (95%CI: 0.69-1.22) in 2020. During the study period, a significant reduction in multiple pregnancy and in the ratio of ICSI to conventional IVF was also observed, explaining at least in part the positive trend observed for birth defects.

CONCLUSION

The increased risk of birth defects in children born after IVF-ICSI is not steady over time. A decline of this risk emerged in our region. Policy changes in ART may explain this beneficial effect.

A Cohort Study on Diabetic Undocumented Migrants in Italy: Can Charitable Organizations Contribute to Higher Adherence?

The increasing presence of documented and undocumented migrants increases the commitment of the Italian National Health Service to their health needs, following its founding principle of equity. In particular, chronic diseases, such as diabetes, represent a crucial area where patients' health is affected by their adherence to care pathways, for which the recent literature has reported alarming low levels. In the case of migrants, obstacles to adherence, such as language or organizational barriers, could be overcome thanks also to charitable organizations providing healthcare services. In this study, we aimed to compare the adherence among documented and undocumented migrants who received healthcare services in Milan, Italy, either from the National Health Service (NHS) or from a charitable organization. We identified a cohort of newly taken into care diabetic patients composed of two groups: (i) documented migrants that attend the NHS; and (ii) undocumented migrants that attend a charity. Information was tracked by merging two datasets: the regional healthcare information system of Lombardy, and a unique dataset that collects data on specialistic visits and pharmaceutical prescriptions for all people visiting one of the most prominent charitable organizations in Italy. The annual diabetologist visit was used as the measure of adherence. The probability of being adherent was compared among the two groups by using a multivariate log-binomial regression model, considering a set of personal characteristics that may impact health behaviors. The cohort comprised 6429 subjects. The percentage of adherence was 52% among the documented migrants, and 74% among the undocumented. Regression results confirmed this pattern: undocumented patients have an increased probability of being adherent by 1.19 times (95% CI: 1.12 to 1.26) compared to documented ones. Our study revealed the potentiality of charitable organizations in guaranteeing continuity of care to undocumented migrants. We argue that this mechanism would benefit from central coordination by the government.

Detecting early signals of COVID-19 outbreaks in 2020 in small areas by monitoring healthcare utilisation databases: first lessons learned from the Italian Alert_CoV project

BackgroundDuring the COVID-19 pandemic, large-scale diagnostic testing and contact tracing have proven insufficient to promptly monitor the spread of infections.AimTo develop and retrospectively evaluate a system identifying aberrations in the use of selected healthcare services to timely detect COVID-19 outbreaks in small areas.MethodsData were retrieved from the healthcare utilisation (HCU) databases of the Lombardy Region, Italy. We identified eight services suggesting a respiratory infection (syndromic proxies). Count time series reporting the weekly occurrence of each proxy from 2015 to 2020 were generated considering small administrative areas (i.e. census units of Cremona and Mantua provinces). The ability to uncover aberrations during 2020 was tested for two algorithms: the improved Farrington algorithm and the generalised likelihood ratio-based procedure for negative binomial counts. To evaluate these algorithms' performance in detecting outbreaks earlier than the standard surveillance, confirmed outbreaks, defined according to the weekly number of confirmed COVID-19 cases, were used as reference. Performances were assessed separately for the first and second semester of the year. Proxies positively impacting performance were identified.ResultsWe estimated that 70% of outbreaks could be detected early using the proposed approach, with a corresponding false positive rate of ca 20%. Performance did not substantially differ either between algorithms or semesters. The best proxies included emergency calls for respiratory or infectious disease causes and emergency room visits.ConclusionImplementing HCU-based monitoring systems in small areas deserves further investigations as it could facilitate the containment of COVID-19 and other unknown infectious diseases in the future.