Danila Azzolina
Dados Biográficos
| ID | 3801992 |
|---|---|
| NOME | Danila Azzolina |
| PRENOMES | Danila |
| SOBRENOME | Azzolina |
| ASSINATURA | AZZOLINA D |
| AFILIAÇÕES | University of Padua |
| ORCID | 0000-0002-8185-5742 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 24 |
| TOTAL DE CITAÇÕES | 1 |
| TOTAL COMO AUTOR | 24 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2018 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 1 |
Unmasking pandemic patterns
The findings highlight the complex nature of COVID-19's impact on mortality in Italy. They reveal the temporal phases, regional disparities, and demographic vulnerabilities that contribute to the overall mortality picture. The overdispersion component indicates more significant variability and unpredictability of mortality patterns until 2023. This highlights the intricate interplay of factors, including healthcare capacity, viral mutations, and …
Management of Pediatric Foreign Body Injuries during the Covid-19 Pandemic
The COVID-19 pandemic has had direct and indirect effects on daily life. In hospitals, the impact of the pandemic was observed in the diagnostic and therapeutic workflow. In this work, we explored potential changes in activities related to the treatment of foreign body injuries (FBIs) in children and the behavioral habits of physicians during the first wave of the pandemic. An online survey was conducted among physicians of the Susy Safe network.…
Covid-19 hospitalizations and patients' age at admission
Introduction: An excess in the daily fluctuation of COVID-19 in hospital admissions could cause uncertainty and delays in the implementation of care interventions. This study aims to characterize a possible source of extravariability in the number of hospitalizations for COVID-19 by considering age at admission as a potential explanatory factor. Age at hospitalization provides a clear idea of the epidemiological impact of the disease, as the elde…
A Bayesian Sample Size Estimation Procedure Based on a B-Splines Semiparametric Elicitation Method
Sample size estimation is a fundamental element of a clinical trial, and a binomial experiment is the most common situation faced in clinical trial design. A Bayesian method to determine sample size is an alternative solution to a frequentist design, especially for studies conducted on small sample sizes. The Bayesian approach uses the available knowledge, which is translated into a prior distribution, instead of a point estimate, to perform the …
The Mental Health Impact of 2019-nCovid on Healthcare Workers From North-Eastern Piedmont, Italy. Focus on Burnout
The 2019-nCOVID pandemic as a public health emergency has faced healthcare systems with unprecedented challenges. Our study aimed to focus on the mental health impact of the 2019-nCOVID pandemic on healthcare workers (HCWs) from North-Eastern Piedmont, Italy. For this purpose, we performed an online survey which was e-mailed to HCWs at the end of the first peak of the pandemic. We involved both frontline and not-frontline HCWs, employed in the ho…
Epidemiology and Trends over Time of Foreign Body Injuries in the Pediatric Emergency Department
This paper presents the epidemiology of foreign body injuries in the Pediatric Emergency Department (PED) of Padova (Italy) along with its trends over an eleven-year period based on administrative data. Annual incidence rates (IRs) of PED presentations for foreign body (FB) injuries per 1000 person-years were calculated. Univariable and multivariable generalized linear (GLM) Poisson models were estimated to evaluate the relationship between FB in…
Monitoring Public Perception of Health Risks in Brazil and Italy
One of the most relevant public health issues among pediatric injuries concerns foreign body (FB) aspiration. The risk perception of choking hazards (CH) and risk perception, in general, are complex multifactorial problems that play a significant role in defining protective behavior. Risk prevention policies should take this aspect into account. A lack of scientific knowledge of FB injury risk perception may be evidenced in Brazil and other newly…
Adjustment for Baseline Covariates to Increase Efficiency in RCTs with Binary Endpoint
Adjusting for prognostic baseline covariates in the analysis of RCTs can have more power than intention-to-treat based tests. However, for some classes of model, when the regression model is mis-specified, inflated type I error and potential bias on treatment effect estimate may arise
Using Social Networks to Estimate the Number of Covid-19 Cases
Recent literature has reported a high percentage of asymptomatic or paucisymptomatic cases in subjects with COVID-19 infection. This proportion can be difficult to quantify; therefore, it constitutes a hidden population. This study aims to develop a proof-of-concept method for estimating the number of undocumented infections of COVID-19. This is the protocol for the INCIDENT (Hidden COVID-19 Cases Network Estimation) study, an online, cross-secti…
Evaluating Effectiveness of Outpatient Monitoring in Type 2 Diabetes
Nowadays, chronic disease management is the primary challenge of the healthcare system. From 2015, in the Veneto region (Italy), patients with a diagnosis of type 2 diabetes mellitus (T2DM) have been included in the diagnostic-therapeutic pathway (PDTA) program, and their clinical condition has been continuously monitored. The aim of this retrospective study is to determine the effectiveness of PDTA intervention, alone or in combination with a sp…
A Machine Learning Approach for Investigating Delirium as a Multifactorial Syndrome
Delirium is a psycho-organic syndrome common in hospitalized patients, especially the elderly, and is associated with poor clinical outcomes. This study aims to identify the predictors that are mostly associated with the risk of delirium episodes using a machine learning technique (MLT). A random forest (RF) algorithm was used to evaluate the association between the subject's characteristics and the 4AT (the 4 A's test) score screening tool for d…
The Mediating Role of Gender, Age, Covid-19 Symptoms and Changing of Mansion on the Mental Health of Healthcare Workers Operating in Italy during the First Wave of the Covid-19 Pandemic
The COVID-19 pandemic has tested the performance of hospitals and intensive care units around the world. Health care workers (HCWs) have been used to developmental symptoms, but this was especially true during the COVID-19 pandemic when HCWs have been faced with many other sources of stress and anxiety that can usually be avoided. Moreover, long-term shifts and unprecedented population restrictions have weakened people's ability to cope with stre…
Monitoring Patients Reported Outcomes after Valve Replacement Using Wearable Devices
Wearable devices (WDs) can objectively assess patient-reported outcomes (PROMs) in clinical trials. In this study, the feasibility and acceptability of using commercial WDs in elderly patients undergoing transcatheter aortic valve replacement (TAVR) or surgical aortic valve replacement (SAVR) will be explored. This is a prospective observational study. Participants were trained to use a WD and a smartphone to collect data on their physical activi…
Handling Poor Accrual in Pediatric Trials
In the conduction of trials, a common situation is related to potential difficulties in recruiting the planned sample size as provided by the study design. A Bayesian analysis of such trials might provide a framework to combine prior evidence with current evidence, and it is an accepted approach by regulatory agencies. However, especially for small trials, the Bayesian inference may be severely conditioned by the prior choices. The Renal Scarring…
Sleep Quality in Patients Undergoing Transcatheter Aortic Valve Implantation (Tavi)
The present study aimed to analyze sleep quality and quality of Life (QoL) in patients undergoing Transcatheter Aortic Valve Implantation (TAVI). It was conducted at the Interventional Cardiology Unit of the Department of Cardiac, Thoracic, Vascular Sciences and Public Health of the University of Padova on 27 adult patients who underwent TAVI via the transfemoral approach. Patients completed two validated instruments, i.e., the Pittsburgh Sleep Q…
Excess of all-cause mortality is only partially explained by Covid-19 in Veneto (Italy) during spring outbreak
COVID-19 has a primary role in the increase in mortality but does not entirely explain such a high number of deaths. Strategies need to be developed to reduce this gap in case of future waves of the pandemic
Assessing school‐based intervention strategies to foster the prevention of choking injuries in children
There are few public health programs aimed at reducing choking injuries, even though choking is one of the leading causes of death among unintentional injuries in young children. We present the results from the CHOP (CHOking Prevention) project community intervention trial, which aimed to compare three different school-based intervention strategies for food choking prevention. The trial enrolled 41 educational facilities, which were randomized to…
How Large Was the Mortality Increase Directly and Indirectly Caused by the Covid-19 Epidemic? An Analysis on All-Causes Mortality Data in Italy
Objective: Overall mortality is a relevant indicator of the population burden during an epidemic. It informs on both undiagnosed cases and on the effects of health system disruption. Methods: We aimed at evaluating the extent of the total death excess during the COVID-19 epidemic in Italy. Data from 4433 municipalities providing mortality reports until April 15th, 2020 were included for a total of 34.5 million residents from all Italian regions. …
Interrelationship among Obstructive Sleep Apnea, Renal Function and Survival
Previous studies showed a bidirectional relationship between renal function decline and obstructive sleep apnea (OSA) syndrome. Continuous Positive Airway Pressure (C-PAP) treatment was shown to preserve the kidney function in OSA patients. This study aims to investigate the progression of long-term renal function in OSA patients treated with different PAP strategies (patients were divided into two groups, fixed C-PAP or other PAP-automatic and b…
Evaluation of Nonresponse Bias in a Case–Control Study of Pleural Mesothelioma
Nonparticipation limits the power of epidemiological studies, and can cause bias. In a case-control study on pleural malignant mesothelioma (MM), we found low participation in interviews (63%) among controls. Our goal was to characterize nonresponder controls and assess nonresponse bias in our study. We selected all nonresponder controls (204) and a random sample of responder controls (174). Data were obtained linking hospital admissions and town…
A first estimation of the impact of public health actions against Covid-19 in Veneto (Italy)
Background Veneto is one of the first Italian regions where the COVID-19 outbreak started spreading. Containment measures were approved soon thereafter. The present study aims at providing a first look at the impact of the containment measures on the outbreak progression in the Veneto region, Italy. Methods A Bayesian changepoint analysis was used to identify the changing speed of the epidemic curve. Then, a piecewise polynomial model was conside…
Determinants of Smoking Status in a Sample of Outpatients Afferent to a Tertiary Referral Hospital
The identification of determinants of attempts to quit smoking and quitting smoking success is crucial for effective smoking prevention and/or cessation programs. Thus, here we have conducted a survey to determine the sociodemographic characteristics of tobacco use and the potential determinants of quitting smoking among a population of 140 subjects-101 smokers and 39 ex-smokers-referred to our clinic for respiratory diseases. Subject characteris…
Increasing awareness of food-choking and nutrition in children through education of caregivers
ClinicalTrials.gov NCT03218618. The study was registered on 14 July 2017
Obese children are thin in parents' eyes
Although obesity presents a serious health problem in children, parents often underestimate their children's overweight and obesity status. Therefore, scientific literature was systematically screened through PubMed and PsycINFO to demonstrate the psychological, social, and cultural processes that underlie this evaluation bias. A total of 37 papers that focused on research conducted in different geopolitical contexts were taken into account. Furt…
Assessing school‐based intervention strategies to foster the prevention of choking injuries in children
There are few public health programs aimed at reducing choking injuries, even though choking is one of the leading causes of death among unintentional injuries in young children. We present the results from the CHOP (CHOking Prevention) project community intervention trial, which aimed to compare three different school-based intervention strategies for food choking prevention. The trial enrolled 41 educational facilities, which were randomized to…
Obese children are thin in parents' eyes
Although obesity presents a serious health problem in children, parents often underestimate their children's overweight and obesity status. Therefore, scientific literature was systematically screened through PubMed and PsycINFO to demonstrate the psychological, social, and cultural processes that underlie this evaluation bias. A total of 37 papers that focused on research conducted in different geopolitical contexts were taken into account. Furt…
Determinants of Smoking Status in a Sample of Outpatients Afferent to a Tertiary Referral Hospital
The identification of determinants of attempts to quit smoking and quitting smoking success is crucial for effective smoking prevention and/or cessation programs. Thus, here we have conducted a survey to determine the sociodemographic characteristics of tobacco use and the potential determinants of quitting smoking among a population of 140 subjects-101 smokers and 39 ex-smokers-referred to our clinic for respiratory diseases. Subject characteris…
Increasing awareness of food-choking and nutrition in children through education of caregivers
ClinicalTrials.gov NCT03218618. The study was registered on 14 July 2017
How Large Was the Mortality Increase Directly and Indirectly Caused by the Covid-19 Epidemic? An Analysis on All-Causes Mortality Data in Italy
Objective: Overall mortality is a relevant indicator of the population burden during an epidemic. It informs on both undiagnosed cases and on the effects of health system disruption. Methods: We aimed at evaluating the extent of the total death excess during the COVID-19 epidemic in Italy. Data from 4433 municipalities providing mortality reports until April 15th, 2020 were included for a total of 34.5 million residents from all Italian regions. …
Interrelationship among Obstructive Sleep Apnea, Renal Function and Survival
Previous studies showed a bidirectional relationship between renal function decline and obstructive sleep apnea (OSA) syndrome. Continuous Positive Airway Pressure (C-PAP) treatment was shown to preserve the kidney function in OSA patients. This study aims to investigate the progression of long-term renal function in OSA patients treated with different PAP strategies (patients were divided into two groups, fixed C-PAP or other PAP-automatic and b…
Evaluation of Nonresponse Bias in a Case–Control Study of Pleural Mesothelioma
Nonparticipation limits the power of epidemiological studies, and can cause bias. In a case-control study on pleural malignant mesothelioma (MM), we found low participation in interviews (63%) among controls. Our goal was to characterize nonresponder controls and assess nonresponse bias in our study. We selected all nonresponder controls (204) and a random sample of responder controls (174). Data were obtained linking hospital admissions and town…
A first estimation of the impact of public health actions against Covid-19 in Veneto (Italy)
Background Veneto is one of the first Italian regions where the COVID-19 outbreak started spreading. Containment measures were approved soon thereafter. The present study aims at providing a first look at the impact of the containment measures on the outbreak progression in the Veneto region, Italy. Methods A Bayesian changepoint analysis was used to identify the changing speed of the epidemic curve. Then, a piecewise polynomial model was conside…
The Mental Health Impact of 2019-nCovid on Healthcare Workers From North-Eastern Piedmont, Italy. Focus on Burnout
The 2019-nCOVID pandemic as a public health emergency has faced healthcare systems with unprecedented challenges. Our study aimed to focus on the mental health impact of the 2019-nCOVID pandemic on healthcare workers (HCWs) from North-Eastern Piedmont, Italy. For this purpose, we performed an online survey which was e-mailed to HCWs at the end of the first peak of the pandemic. We involved both frontline and not-frontline HCWs, employed in the ho…
Epidemiology and Trends over Time of Foreign Body Injuries in the Pediatric Emergency Department
This paper presents the epidemiology of foreign body injuries in the Pediatric Emergency Department (PED) of Padova (Italy) along with its trends over an eleven-year period based on administrative data. Annual incidence rates (IRs) of PED presentations for foreign body (FB) injuries per 1000 person-years were calculated. Univariable and multivariable generalized linear (GLM) Poisson models were estimated to evaluate the relationship between FB in…
Monitoring Public Perception of Health Risks in Brazil and Italy
One of the most relevant public health issues among pediatric injuries concerns foreign body (FB) aspiration. The risk perception of choking hazards (CH) and risk perception, in general, are complex multifactorial problems that play a significant role in defining protective behavior. Risk prevention policies should take this aspect into account. A lack of scientific knowledge of FB injury risk perception may be evidenced in Brazil and other newly…
Adjustment for Baseline Covariates to Increase Efficiency in RCTs with Binary Endpoint
Adjusting for prognostic baseline covariates in the analysis of RCTs can have more power than intention-to-treat based tests. However, for some classes of model, when the regression model is mis-specified, inflated type I error and potential bias on treatment effect estimate may arise
Using Social Networks to Estimate the Number of Covid-19 Cases
Recent literature has reported a high percentage of asymptomatic or paucisymptomatic cases in subjects with COVID-19 infection. This proportion can be difficult to quantify; therefore, it constitutes a hidden population. This study aims to develop a proof-of-concept method for estimating the number of undocumented infections of COVID-19. This is the protocol for the INCIDENT (Hidden COVID-19 Cases Network Estimation) study, an online, cross-secti…
Evaluating Effectiveness of Outpatient Monitoring in Type 2 Diabetes
Nowadays, chronic disease management is the primary challenge of the healthcare system. From 2015, in the Veneto region (Italy), patients with a diagnosis of type 2 diabetes mellitus (T2DM) have been included in the diagnostic-therapeutic pathway (PDTA) program, and their clinical condition has been continuously monitored. The aim of this retrospective study is to determine the effectiveness of PDTA intervention, alone or in combination with a sp…
A Machine Learning Approach for Investigating Delirium as a Multifactorial Syndrome
Delirium is a psycho-organic syndrome common in hospitalized patients, especially the elderly, and is associated with poor clinical outcomes. This study aims to identify the predictors that are mostly associated with the risk of delirium episodes using a machine learning technique (MLT). A random forest (RF) algorithm was used to evaluate the association between the subject's characteristics and the 4AT (the 4 A's test) score screening tool for d…
The Mediating Role of Gender, Age, Covid-19 Symptoms and Changing of Mansion on the Mental Health of Healthcare Workers Operating in Italy during the First Wave of the Covid-19 Pandemic
The COVID-19 pandemic has tested the performance of hospitals and intensive care units around the world. Health care workers (HCWs) have been used to developmental symptoms, but this was especially true during the COVID-19 pandemic when HCWs have been faced with many other sources of stress and anxiety that can usually be avoided. Moreover, long-term shifts and unprecedented population restrictions have weakened people's ability to cope with stre…
Monitoring Patients Reported Outcomes after Valve Replacement Using Wearable Devices
Wearable devices (WDs) can objectively assess patient-reported outcomes (PROMs) in clinical trials. In this study, the feasibility and acceptability of using commercial WDs in elderly patients undergoing transcatheter aortic valve replacement (TAVR) or surgical aortic valve replacement (SAVR) will be explored. This is a prospective observational study. Participants were trained to use a WD and a smartphone to collect data on their physical activi…
Handling Poor Accrual in Pediatric Trials
In the conduction of trials, a common situation is related to potential difficulties in recruiting the planned sample size as provided by the study design. A Bayesian analysis of such trials might provide a framework to combine prior evidence with current evidence, and it is an accepted approach by regulatory agencies. However, especially for small trials, the Bayesian inference may be severely conditioned by the prior choices. The Renal Scarring…
Sleep Quality in Patients Undergoing Transcatheter Aortic Valve Implantation (Tavi)
The present study aimed to analyze sleep quality and quality of Life (QoL) in patients undergoing Transcatheter Aortic Valve Implantation (TAVI). It was conducted at the Interventional Cardiology Unit of the Department of Cardiac, Thoracic, Vascular Sciences and Public Health of the University of Padova on 27 adult patients who underwent TAVI via the transfemoral approach. Patients completed two validated instruments, i.e., the Pittsburgh Sleep Q…
Excess of all-cause mortality is only partially explained by Covid-19 in Veneto (Italy) during spring outbreak
COVID-19 has a primary role in the increase in mortality but does not entirely explain such a high number of deaths. Strategies need to be developed to reduce this gap in case of future waves of the pandemic
Assessing school‐based intervention strategies to foster the prevention of choking injuries in children
There are few public health programs aimed at reducing choking injuries, even though choking is one of the leading causes of death among unintentional injuries in young children. We present the results from the CHOP (CHOking Prevention) project community intervention trial, which aimed to compare three different school-based intervention strategies for food choking prevention. The trial enrolled 41 educational facilities, which were randomized to…
Covid-19 hospitalizations and patients' age at admission
Introduction: An excess in the daily fluctuation of COVID-19 in hospital admissions could cause uncertainty and delays in the implementation of care interventions. This study aims to characterize a possible source of extravariability in the number of hospitalizations for COVID-19 by considering age at admission as a potential explanatory factor. Age at hospitalization provides a clear idea of the epidemiological impact of the disease, as the elde…
A Bayesian Sample Size Estimation Procedure Based on a B-Splines Semiparametric Elicitation Method
Sample size estimation is a fundamental element of a clinical trial, and a binomial experiment is the most common situation faced in clinical trial design. A Bayesian method to determine sample size is an alternative solution to a frequentist design, especially for studies conducted on small sample sizes. The Bayesian approach uses the available knowledge, which is translated into a prior distribution, instead of a point estimate, to perform the …
Management of Pediatric Foreign Body Injuries during the Covid-19 Pandemic
The COVID-19 pandemic has had direct and indirect effects on daily life. In hospitals, the impact of the pandemic was observed in the diagnostic and therapeutic workflow. In this work, we explored potential changes in activities related to the treatment of foreign body injuries (FBIs) in children and the behavioral habits of physicians during the first wave of the pandemic. An online survey was conducted among physicians of the Susy Safe network.…
Unmasking pandemic patterns
The findings highlight the complex nature of COVID-19's impact on mortality in Italy. They reveal the temporal phases, regional disparities, and demographic vulnerabilities that contribute to the overall mortality picture. The overdispersion component indicates more significant variability and unpredictability of mortality patterns until 2023. This highlights the intricate interplay of factors, including healthcare capacity, viral mutations, and …
Medicine (21 obras) · Internal Medicine (12 obras) · Disease (8 obras) · Environmental health (8 obras) · Population (8 obras) · Public health (7 obras) · COVID-19 and healthcare impacts (6 obras) · COVID-19 epidemiological studies (6 obras) · Physical therapy (6 obras) · Statistics (6 obras)