scholarly journals Avoidable Hospitalization for Heart Failure Among a Cohort of 18- to 64-Year-Old Italian Citizens and Immigrants: Results From the Italian Network for Longitudinal Metropolitan Studies

2021 ◽  
Author(s):  
Teresa Dalla Zuanna ◽  
Laura Cacciani ◽  
Giulia Barbieri ◽  
Erich Batzella ◽  
Francesco Tona ◽  
...  
Keyword(s):  
Heart Failure ◽  
Socioeconomic Status ◽  
Negative Binomial ◽  
Hospitalization Rate ◽  
Sub Saharan Africa ◽  
Access To Health Services ◽  
Avoidable Hospitalization ◽  
Public Health Burden ◽  
Increased Risk ◽  
Rate Ratios

Background: Heart failure (HF) represents a severe public health burden. In Europe, differences in hospitalizations for HF have been found between immigrants and native individuals, with inconsistent results. Immigrants face many barriers in their access to health services, and their needs may be poorly met. We aimed to compare the rates of avoidable hospitalization for HF among immigrants and native individuals in Italy. Methods: All 18- to 64-year-old residents of Turin, Venice, Reggio Emilia, Modena, Bologna, and Rome between January 1, 2001 and December 31, 2013 were included in this multicenter open-cohort study. Immigrants from high migratory pressure countries (divided by area of origin) were compared with Italian citizens. Age-, sex-, and calendar year-adjusted hospitalization rate ratios and the 95% CIs of avoidable hospitalization for HF by citizenship were estimated using negative binomial regression models. The hospitalization rate ratios were summarized using a random effects meta-analysis. Additionally, we tested the contribution of socioeconomic status to these disparities. Results: Of the 4 470 702 subjects included, 15.8% were immigrants from high migratory pressure countries. Overall, immigrants showed a nonsignificant increased risk of avoidable hospitalization for HF (hospitalization rate ratio, 1.26 [95% CI, 0.97–1.68]). Risks were higher for immigrants from Sub-Saharan Africa and for males from Northern Africa and Central-Eastern Europe than for their Italian citizen counterparts. Risks were attenuated adjusting for socioeconomic status, although they remained consistent with nonadjusted results. Conclusions: Adult immigrants from different geographic macroareas had higher risks of avoidable hospitalization for HF than Italian citizens. Possible explanations might be higher risk factors among immigrants and reduced access to primary health care services.

scholarly journals Incidence of atrial fibrillation, ischaemic heart disease and heart failure in patients with diabetes

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Amy Groenewegen ◽  
Victor W. Zwartkruis ◽  
Betül Cekic ◽  
Rudolf. A. de Boer ◽  
Michiel Rienstra ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Heart Disease ◽  
Ischaemic Heart Disease ◽  
Incidence Rate ◽  
Diabetes Status ◽  
Increased Risk ◽  
Patients With Diabetes ◽  
Rate Ratios ◽  
Age And Sex

Abstract Background Diabetes has strongly been linked to atrial fibrillation, ischaemic heart disease and heart failure. The epidemiology of these cardiovascular diseases is changing, however, due to changes in prevalence of obesity-related conditions and preventive measures. Recent population studies on incidence of atrial fibrillation, ischaemic heart disease and heart failure in patients with diabetes are needed. Methods A dynamic longitudinal cohort study was performed using primary care databases of the Julius General Practitioners’ Network. Diabetes status was determined at baseline (1 January 2014 or upon entering the cohort) and participants were followed-up for atrial fibrillation, ischaemic heart disease and heart failure until 1 February 2019. Age and sex-specific incidence and incidence rate ratios were calculated. Results Mean follow-up was 4.2 years, 12,168 patients were included in the diabetes group, and 130,143 individuals in the background group. Incidence rate ratios, adjusted for age and sex, were 1.17 (95% confidence interval 1.06–1.30) for atrial fibrillation, 1.66 (1.55–1.83) for ischaemic heart disease, and 2.36 (2.10–2.64) for heart failure. Overall, incidence rate ratios were highest in the younger age categories, converging thereafter. Conclusion There is a clear association between diabetes and incidence of the major chronic progressive heart diseases, notably with heart failure with a more than twice increased risk.

scholarly journals Adolescent, Pregnant, and HIV-Infected: Risk of Adverse Pregnancy and Perinatal Outcomes in Young Women from Southern Mozambique

2021 ◽  
Vol 10 (8) ◽  
pp. 1564
Author(s):  
Clara Pons-Duran ◽  
Aina Casellas ◽  
Azucena Bardají ◽  
Anifa Valá ◽  
Esperança Sevene ◽  
...  
Keyword(s):  
Hiv Infection ◽  
Maternal Morbidity ◽  
Low Birthweight ◽  
Negative Binomial ◽  
Perinatal Outcomes ◽  
Sub Saharan Africa ◽  
P Value ◽  
Increased Risk ◽  
Adverse Pregnancy ◽  
The Impact

Sub-Saharan Africa concentrates the burden of HIV and the highest adolescent fertility rates. However, there is limited information about the impact of the interaction between adolescence and HIV infection on maternal health in the region. Data collected prospectively from three clinical trials conducted between 2003 and 2014 were analysed to evaluate the association between age, HIV infection, and their interaction, with the risk of maternal morbidity and adverse pregnancy and perinatal outcomes in women from southern Mozambique. Logistic regression and negative binomial models were used. A total of 2352 women were included in the analyses; 31% were adolescents (≤19 years) and 29% HIV-infected women. The effect of age on maternal morbidity and pregnancy and perinatal adverse outcomes was not modified by HIV status. Adolescence was associated with an increased incidence of hospital admissions (IRR 0.55, 95%CI 0.37–0.80 for women 20–24 years; IRR 0.60, 95%CI 0.42–0.85 for women >25 years compared to adolescents; p-value < 0.01) and outpatient visits (IRR 0.86, 95%CI 0.71–1.04; IRR 0.76, 95%CI 0.63–0.92; p-value = 0.02), and an increased likelihood of having a small-for-gestational age newborn (OR 0.50, 95%CI 0.38–0.65; OR 0.43, 95%CI 0.34–0.56; p-value < 0.001), a low birthweight (OR 0.40, 95%CI 0.27–0.59; OR 0.37, 95%CI 0.26–0.53; p-value <0.001) and a premature birth (OR 0.42, 95%CI 0.24–0.72; OR 0.51, 95%CI 0.32–0.82; p-value < 0.01). Adolescence was associated with an increased risk of poor morbidity, pregnancy and perinatal outcomes, irrespective of HIV infection. In addition to provision of a specific maternity care package for this vulnerable group interventions are imperative to prevent adolescent pregnancy.

scholarly journals Student-inflicted injuries to staff in schools: comparing risk between educators and non-educators

2017 ◽  
Vol 25 (2) ◽  
pp. 116-122 ◽  
Author(s):  
Katherine E Schofield ◽  
Andrew D Ryan ◽  
Craig Stroinski
Keyword(s):  
Risk Factors ◽  
General Education ◽  
Injury Risk ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Acting Out ◽  
Increased Risk ◽  
Educational Assistants ◽  
Reduction Methods ◽  
Rate Ratios

ObjectiveStudent-inflicted injury to staff in the educational services sector is a growing concern. Studies on violence have focused on teachers as victims, but less is known about injuries to other employee groups, particularly educational assistants. Inequities may be present, as educational assistants and non-educators may not have the same wage, benefits, training and employment protections available to them as professional educators. We identified risk factors for student-related injury and their characteristics among employees in school districts.MethodsWorkers’ compensation data were used to identify incidence and severity of student-related injury. Rates were calculated using negative binomial regression; risk factors were identified using multivariate models to calculate rate ratios (RR) and 95% CIs.ResultsOver 26% of all injuries were student-related; 8% resulted in lost work time. Special and general education assistants experienced significantly increased risk of injury (RR=6.0, CI 5.05 to 7.15; RR=2.07, CI 1.40 to 3.07) as compared with educators. Risk differed by age, gender and school district type. Text analyses categorised student-related injury. It revealed injury from students acting out occurred most frequently (45.4%), whereas injuries involving play with students resulted in the highest percentage of lost-time injuries (17.7%) compared with all interaction categories.ConclusionStudent-inflicted injury to staff occurs frequently and can be severe. Special education and general assistants bear the largest burden of injury compared with educators. A variety of prevention techniques to reduce injury risk and severity, including policy or environmental modifications, may be appropriate. Equal access to risk reduction methods for all staff should be prioritised.

scholarly journals Socioeconomic status during youth and risk of car crash during adulthood. Findings from the DRIVE cohort study

2021 ◽  
pp. jech-2020-214083
Author(s):  
Holger Mőller ◽  
Kris Rogers ◽  
Patricia Cullen ◽  
Teresa Senserrick ◽  
Soufiane Boufous ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Low Socioeconomic Status ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Road Transport ◽  
Crash Risk ◽  
Young Drivers ◽  
Car Crash ◽  
Increased Risk ◽  
Single Vehicle

BackgroundYoung drivers of low socioeconomic status (SES) have a disproportionally high risk of crashing compared with their more affluent counterparts. Little is known if this risk persists into adulthood and if it differs between men and women.MethodsWe used data from a 2003/2004 Australian survey of young drivers (n=20 806), which included measures of drivers’ demographics and established crash risk factors. These data were linked to police-reported crash, hospital and death data up to 2016. We used negative binomial regression models to estimate the association between participants’ SES, with car crash.ResultsAfter adjusting for confounding, drivers of lowest SES had 1.30 (95% CI 1.20 to 1.42), 1.90 (95% CI 1.25 to 2.88), 3.09 (95% CI 2.41 to 3.95) and 2.28 (95% CI 1.85 to 2.82) times higher rate of crash, crash-related hospitalisation, crash in country areas and crash on streets with a speed limit of 80 km/hour or above compared with drivers of highest SES, respectively. For single-vehicle crashes, women in the lowest SES groups had 2.88 (95% CI 1.83 to 4.54) times higher rate of crash compared with those in the highest SES group, but no differences were observed for men from different SES groups.ConclusionYoung drivers who lived in areas of low SES at the time of the survey had a sustained increased risk of crash over the following 13 years compared with drivers from the most affluent areas. Our findings suggest that in addition to traditional measures, road transport injury prevention needs to consider the wider social determinants of health.

scholarly journals Predictive Value of Pro-BNP for Heart Failure Readmission after an Acute Coronary Syndrome

2021 ◽  
Vol 10 (8) ◽  
pp. 1653
Author(s):  
Alberto Cordero ◽  
Elías Martínez Rey-Rañal ◽  
María J. Moreno ◽  
David Escribano ◽  
José Moreno-Arribas ◽  
...  
Keyword(s):  
Heart Failure ◽  
Acute Coronary Syndrome ◽  
Predictive Value ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Complete Revascularization ◽  
Predictive Capacity ◽  
Coronary Syndrome ◽  
Increased Risk ◽  
Incidence Risk

Background: N-terminal pro-brain natural peptide (NT-pro-BNP) is a well-established biomarker of tissue congestion and has prognostic value in patients with heart failure (HF). Nonetheless, there is scarce evidence on its predictive capacity for HF re-admission after an acute coronary syndrome (ACS). We performed a prospective, single-center study in all patients discharged after an ACS. HF re-admission was analyzed by competing risk regression, taking all-cause mortality as a competing event. Results are presented as sub-hazard ratios (sHR). Recurrent hospitalizations were tested by negative binomial regression, and results are presented as incidence risk ratio (IRR). Results: Of the 2133 included patients, 528 (24.8%) had HF during the ACS hospitalization, and their pro-BNP levels were higher (3220 pg/mL vs. 684.2 pg/mL; p < 0.001). In-hospital mortality was 2.9%, and pro-BNP was similarly higher in these patients. Increased pro-BNP levels were correlated to increased risk of HF or death during the hospitalization. Over follow-up (median 38 months) 243 (11.7%) patients had at least one hospital readmission for HF and 151 (7.1%) had more than one. Complete revascularization had a preventive effect on HF readmission, whereas several other variables were associated with higher risk. Pro-BNP was independently associated with HF admission (sHR: 1.47) and readmission (IRR: 1.45) at any age. Significant interactions were found for the predictive value of pro-BNP in women, diabetes, renal dysfunction, STEMI and patients without troponin elevation. Conclusions: In-hospital determination of pro-BNP is an independent predictor of HF readmission after an ACS.

scholarly journals Heart failure hospitalizations in persons with and without diabetes in an Italian region: 2008-2018

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
P Scampoli ◽  
P Di Giovanni ◽  
F Cedrone ◽  
M D'Addezio ◽  
G Di Martino ◽  
...  
Keyword(s):  
Heart Failure ◽  
Preventive Health Care ◽  
Poor Quality ◽  
Hospitalization Rate ◽  
Chronic Obstructive ◽  
Diabetic Patients ◽  
Diagnostic Code ◽  
Obstructive Pulmonary Disease ◽  
Admission Rates ◽  
Increased Risk

Abstract Background Hospitalization rate for heart failure (HF) is considered a prevention quality indicator and it is used as a tool to evaluate health services quality. This study aims to assess time trends in HF hospitalizations in a region of Southern Italy, focusing on diabetes mellitus as comorbidity. Methods Data were collected from hospital discharge records. All patients aged 18 or over hospitalized for HF in Abruzzo between 2008 and 2018 were selected, either with or without a diagnostic code of diabetes. Admissions for cardiac procedures were excluded. For each year, gender- and age-adjusted standardized hospitalization rates were calculated. Predictors of HF admissions were estimated by a multivariable regression model. Results Over the study period, 60,737 HF admissions occurred, 34,518 of which among people aged more than 65 (56.8%). A total of 15,424 hospitalizations were performed among diabetic patients (25.4%). The overall age- and gender-adjusted HF hospitalization rate declined substantially from 2008 to 2018 (-12.1%). Diabetes (adjOR 2.48; 95%CI 2.41-2.55), myocardial infarction (adjOR 3.92; 95%CI 3.70-4.14), peripheral vascular disease (adjOR 2.30; 95%CI 2.16-2.44), chronic obstructive pulmonary disease (adjOR 3.97; 95%CI 3.86-4.09) and renal disease (adjOR 5.61; 95%CI 5.44-5.78) were factors associated to an increased risk of HF hospitalization. Although HF admission rates remained higher, a significant reduction was highlighted among diabetic patients (-34.7%). Instead, time trend was nearly stable among persons without diabetes (+2.7%). Conclusions This study has shown a decline in HF hospitalization rate over the period considered, particularly among diabetic patients. HF hospitalization may be potentially avoided with good outpatient care. As the causes for HF admissions may include poor quality of care or problems accessing care, it is worthwhile to identify the triggering factors and the potential targets for an early intervention. Key messages A reduction of HF admissions was observed only among diabetics and not among people without diabetes. As the HF hospitalizations are potentially preventable, the knowledge of the epidemiology is crucial for management of preventive health care.

scholarly journals Social Determinants of Myocardial Infarction Risk and Survival: A Systematic Review

2020 ◽  
pp. 1-12
Author(s):  
Steven S. Coughlin ◽  
Steven S. Coughlin ◽  
Lufei Young
Keyword(s):  
Myocardial Infarction ◽  
Social Support ◽  
Socioeconomic Status ◽  
Social Determinants Of Health ◽  
Low Socioeconomic Status ◽  
Social Determinants ◽  
Determinants Of Health ◽  
Access To Health Services ◽  
Immigration Status ◽  
Increased Risk

Social determinants of health that have been examined in relation to myocardial infarction incidence and survival include socioeconomic status (income, education), neighbourhood disadvantage, immigration status, social support, and social network. Other social determinants of health include geographic factors such as neighbourhood access to health services. Socioeconomic factors influence risk of myocardial infarction. Myocardial infarction incidence rates tend to be inversely associated with socioeconomic status. In addition, studies have shown that low socioeconomic status is associated with increased risk of poorer survival. There are well-documented disparities in myocardial infarction survival by socioeconomic status, race, education, and census-tract-level poverty. The results of this review indicate that social determinants such as neighbourhood disadvantage, immigration status, lack of social support, and social isolation also play an important role in myocardial infarction risk and survival. To address these social determinants and eliminate disparities, effective interventions are needed that account for the social and environmental contexts in which heart attack patients live and are treated.

Abstract 111: Independence in Activities of Daily Living and Death in Patients wtih Heart Failure

2014 ◽  
Vol 7 (suppl_1) ◽  
Author(s):  
Shannon M Dunlay ◽  
Sheila M Manemann ◽  
Ruoxiang Jiang ◽  
Susan A Weston ◽  
Alanna Chamberlain ◽  
...  
Keyword(s):  
Heart Failure ◽  
Activities Of Daily Living ◽  
Daily Living ◽  
Functional Disability ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Risk Of Death ◽  
Increased Risk ◽  
Severe Difficulty ◽  
Over Time

Background: Several chronic diseases can contribute to functional disability. However, little is known about functional disability and its progression overtime in chronic heart failure (HF). We aimed to investigate the prevalence and progression of difficulty with activities of daily living (ADLs) and its association with mortality in patients with HF. Methods: We enrolled Southeastern Minnesota residents with HF into a longitudinal study from September 2, 2003 through January 31, 2012. A patient’s difficulty with 9 ADLs (feeding themselves, dressing, toileting, housekeeping, climbing stairs, bathing, walking, using transportation, managing medications) was assessed by questionnaire. Patients were followed for all-cause mortality. Using Rasch analysis to determine the order of ADL difficulty, patients were divided into 3 categories (minimal, moderate, severe difficulty). Predictors of ADL difficulty were assessed using negative binomial regression and the association between ADL difficulty and death with Cox proportional hazard regression. Results: Among 1128 patients (mean age 74.7 years, 49.2% female), most (59.4%) reported difficulty with one or more ADLs at enrollment, with 272 (24.1%) and 146 (12.9%) reporting moderate and severe difficulty, respectively. The independent predictors of difficulty with ADLs were older age, female sex, diabetes, morbid obesity, cerebrovascular disease, dementia, anemia, and unmarried status. After a mean (SD) follow-up of 3.2 (2.4) years, 615 (54.5%) patients had died. There was a stepwise increase in the risk of death as difficulty with ADLs increased ( Figure ). After adjusting for age, sex, and comorbidity, the HR (95% CI) for mortality was 1.52 (1.25-1.83, p<0.001) for patients with moderate and 2.28 (1.82-2.85, p<0.001) for those with severe difficulty with ADLs compared to those with minimal difficulty (p for trend<0.001). In most patients (73.5%), difficulty with ADLs was stable over time. However, survivors reporting persistently severe or worsening ADL difficulty in a second assessment (median 9 months later) were at an increased risk of subsequent mortality (adjusted HR 2.08, 95% CI 1.70-2.55, p<0.001). Conclusions: Functional disability is common in patients with HF, can progress over time, and is independently associated with adverse prognosis.

Abstract MP75: Recalibration and Additional Data Domains Leads to Modestly Improved Performance of Risk Calculators for Heart Failure Readmission

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Samuel T Savitz ◽  
Keane Lee ◽  
Jamal S Rana ◽  
Thomas K Leong ◽  
Grace Tabada ◽  
...  
Keyword(s):  
Heart Failure ◽  
Socioeconomic Status ◽  
Healthcare Delivery ◽  
Model Performance ◽  
Area Under The Curve ◽  
Gradient Boosting ◽  
Healthcare Delivery System ◽  
Modest Improvement ◽  
Public Health Burden ◽  
Good Calibration

Introduction: Heart failure (HF)-related hospitalizations are a growing public health burden. We evaluated two published risk calculators for predicting 30-day readmission after HF hospitalizations: 1) using the original coefficients, 2) updating the coefficients 3) developing a new model with additional variables and updated coefficients. Hypothesis: Recalibrating model coefficients and adding variables would improve the performance of existing 30-day readmission risk calculators. Methods: We identified 45,059 adults hospitalized for HF between 2012-2017 within Kaiser Permanente Northern California, an integrated healthcare delivery system. We used split sampling for development and validation testing. The risk calculators tested included: LACE+ Index and Yale CORE. We used logistic regression on our population to derive the recalibrated coefficients. For the model with additional variables, we included all variables used in the original models plus additional variables, including cardiovascular medication use and socioeconomic status. We used gradient boosting with k-fold cross validation to avoid overfitting. We assessed model performance using area under the curve (AUC) and calibration plots. Results: Discrimination (AUC) was poor using original models: LACE+ [0.56 (0.54-0.58)] and Yale CORE [0.55 (0.54-0.57)]. Recalibrating coefficients resulted in small improvements for LACE+ [0.58 (0.57, 0.60)] and Yale CORE [0.58 (0.57, 0.60)]. Adding variables resulted in a modest improvement for the gradient boosting model [0.61 (0.59, 0.62)]. Calibration plots (Figure 1) showed good calibration except for the Yale CORE model with the original coefficients. Conclusions: Recalibrating coefficients and incorporating prior medication and socioeconomic status led to modest, significant improvements in discrimination while maintaining good calibration. However, overall performance improvements are needed to increase the utility of these published risk calculators to predict readmission.

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