Mortality trend of ischemic heart disease (2008-2022): A retrospective analysis of epidemiological data

BACKGROUND

Age-sex specific trend analyses of ischemic heart disease (IHD)-related mortality and prevalent risk factors can improve our understanding and approach to the disease.

METHODS

We performed a 15-year retrospective epidemiological analysis of acute and chronic IHD-related mortality and prevalent cardiovascular risk factors using administrative data from Veneto, a socio-economically homogeneous Italian region. Standard mortality statistics using the underlying cause of death (UCOD) and deaths with any mention of IHD in death certificates (MCOD) from ICD-10 codes I20-I25 was performed between 2008 and 2022.

RESULTS

A total of 134,327 death certificates reported IHD-related deaths, representing 18.6% of all deaths. Proportional mortality decreased from 14.6% in 2008 to 7.8% in 2022 for deaths with IHD as the UCOD and from 23.5% to 14.6% for deaths with IHD among the MCOD. A more pronounced decline of proportionate and case-specific mortality rate was seen in women. The decline in mortality over the whole study period was larger for acute (vs. chronic) IHD. The COVID-19 pandemic led to a marked increase in mortality in 2020 (+12.2%) with a subsequent further decline. IHD-related deaths displayed a typical seasonal pattern with more deaths during winter. The prevalence of cardiovascular risk factors was higher in IHD (vs. no IHD) deaths: this association appeared more pronounced in younger adults.

CONCLUSIONS

We provided an analysis of epidemiological trends in IHD-related mortality and prevalence of risk factors. Our findings indicate a change in the pattern of cardiovascular deaths and may suggest a switch in death from acute to chronic conditions.

The incidence and risk factors of selected drug prescriptions and outpatient care after SARS-CoV-2 infection in low-risk subjects: a multicenter population-based cohort study

Background

Knowledge about the dynamics of transmission of SARS-CoV-2 and the clinical aspects of COVID-19 has steadily increased over time, although evidence of the determinants of disease severity and duration is still limited and mainly focused on older adult and fragile populations.

Methods

The present study was conceived and carried out in the Emilia-Romagna (E-R) and Veneto Regions, Italy, within the context of the EU's Horizon 2020 research project called ORCHESTRA (Connecting European Cohorts to increase common and effective response to SARS-CoV-2 pandemic) (www.orchestra-cohort.eu). The study has a multicenter retrospective population-based cohort design and aimed to investigate the incidence and risk factors of access to specific healthcare services (outpatient visits and diagnostics, drug prescriptions) during the post-acute phase from day-31 to day-365 after SARS-CoV-2 infection, in a healthy population at low risk of severe acute COVID-19. The study made use of previously recorded large-scale healthcare data available in the administrative databases of the two Italian Regions. The statistical analysis made use of methods for competing risks. Risk factors were assessed separately in the two Regions and results were pooled using random effects meta-analysis.

Results

There were 35,128 subjects in E-R and 88,881 in Veneto who were included in the data analysis. The outcome (access to selected health services) occurred in a high percentage of subjects in the post-acute phase (25% in E-R and 21% in Veneto). Outpatient care was observed more frequently than drug prescriptions (18% vs. 12% in E-R and 15% vs. 10% in Veneto). Risk factors associated with the outcome were female sex, age greater than 40 years, baseline risk of hospitalization and death, moderate to severe acute COVID-19, and acute extrapulmonary complications.

Conclusion

The outcome of interest may be considered as a proxy for long-term effects of COVID-19 needing clinical attention. Our data suggest that this outcome occurs in a substantial percentage of cases, even among a previously healthy population with low or mild severity of acute COVID-19. The study results provide useful insights into planning COVID-19-related services.

Excess diabetes-related deaths: The role of comorbidities through different phases of the COVID-19 pandemic

BACKGROUND AND AIMS

Diabetes confers an excess risk of death to COVID-19 patients. Causes of death are now available for different phases of the pandemic, encompassing different viral variants and COVID-19 vaccination. The aims of the present study were to update multiple causes of death data on diabetes-related mortality during the pandemic and to estimate the impact of common diabetic comorbidities on excess mortality.

METHODS AND RESULTS

Diabetes-related deaths in 2020-2021 were compared with the 2018-2019 average; furthermore, age-standardized rates observed during the pandemic were compared with expected figures obtained from the 2008-2019 time series through generalized estimating equation models. Changes in diabetes mortality associated with specific comorbidities were also computed. Excess diabetes-related mortality was +26% in 2020 and +18% in 2021, after the initiation of the vaccination campaign. The presence of diabetes and hypertensive diseases was associated with the highest mortality increase, especially in subjects aged 40-79 years, +41% in 2020 and +30% in 2021.

CONCLUSION

The increase in diabetes-related deaths exceeded that observed for all-cause mortality, and the risk was higher when diabetes was associated with hypertensive diseases. Notably, the excess mortality decreased in 2021, after the implementation of vaccination against COVID-19.

Association of multiple-sclerosis-related mortality with COVID-19 and other common infections: a multiple causes of death analysis

BACKGROUND AND PURPOSE

People with multiple sclerosis (MS) suffer from higher infection-related mortality compared to the general population; however, sparse data are available on the increased risk of death associated with coronavirus disease 2019 (COVID-19) and other common types of infections.

METHODS

All mortality records and multiple-cause-of-death data in 2010-2021 of residents in the Veneto region (northeastern Italy) were extracted. Mention of specific infections was compared between death certificates reporting MS or not. Odds ratios (OR) with 95% confidence intervals (95% CI) were estimated by conditional logistic regression matching by age, sex and calendar year. The bimonthly averages of MS-related deaths in 2010-2019 were compared with those registered during the pandemic (2020-2021).

RESULTS

Of 580,015 deaths through 2010-2021, MS was mentioned in 850 cases (0.15%), 59.3% women. Influenza and pneumonia were reported in 18.4% of MS-related compared to 11.0% non-MS-related deaths (OR 2.72, 95% CI 2.28-3.25). The odds of mention of urinary tract infections was significantly greater in MS-related deaths of men (OR 8.16, 95% CI 5.23-12.7) than women (OR 3.03, 95% CI 1.82-5.02). Aspiration pneumonia, pressure ulcers/skin infections and sepsis were also significantly associated with MS-related deaths. Reporting of COVID-19 as a cause of death did not significantly differ between deaths with and without mention of MS (approximately 11% of both). However, compared to 2010-2019, peaks in MS-related deaths were observed during the pandemic waves.

CONCLUSIONS

Infections continue to play a significant role in MS-related deaths, underlying the need to improve prevention and management strategies.

Estimating Overall and Cause-Specific Excess Mortality during the COVID-19 Pandemic: Methodological Approaches Compared

During the COVID-19 pandemic, excess mortality has been reported worldwide, but its magnitude has varied depending on methodological differences that hinder between-study comparability. Our aim was to estimate variability attributable to different methods, focusing on specific causes of death with different pre-pandemic trends. Monthly mortality figures observed in 2020 in the Veneto Region (Italy) were compared with those forecasted using: (1) 2018-2019 monthly average number of deaths; (2) 2015-2019 monthly average age-standardized mortality rates; (3) Seasonal Autoregressive Integrated Moving Average (SARIMA) models; (4) Generalized Estimating Equations (GEE) models. We analyzed deaths due to all-causes, circulatory diseases, cancer, and neurologic/mental disorders. Excess all-cause mortality estimates in 2020 across the four approaches were: +17.2% (2018-2019 average number of deaths), +9.5% (five-year average age-standardized rates), +15.2% (SARIMA), and +15.7% (GEE). For circulatory diseases (strong pre-pandemic decreasing trend), estimates were +7.1%, -4.4%, +8.4%, and +7.2%, respectively. Cancer mortality showed no relevant variations (ranging from -1.6% to -0.1%), except for the simple comparison of age-standardized mortality rates (-5.5%). The neurologic/mental disorders (with a pre-pandemic growing trend) estimated excess corresponded to +4.0%/+5.1% based on the first two approaches, while no major change could be detected based on the SARIMA and GEE models (-1.3%/+0.3%). The magnitude of excess mortality varied largely based on the methods applied to forecast mortality figures. The comparison with average age-standardized mortality rates in the previous five years diverged from the other approaches due to the lack of control over pre-existing trends. Differences across other methods were more limited, with GEE models probably representing the most versatile option.

Mortality rate related to peripheral arterial disease: A retrospective analysis of epidemiological data (years 2008-2019)

BACKGROUND AND AIMS

Peripheral arterial disease (PAD) is one of the most prevalent cardiovascular diseases with more than 230 million people being affected worldwide. As highlighted by the recent European Society of Cardiology guidelines, data on the epidemiology of PAD is urgently needed.

METHODS AND RESULTS

We accessed the vital registration data of the Veneto region (Northern Italy, approximately five millions inhabitants) covering the period 2008-2019. We computed annual age-standardized rates for PAD reported as the underlying cause of death (UCOD) or as one of multiple causes of death (MCOD). Age-adjusted odds ratios (OR) served to study the association between PAD and cardiovascular comorbidities. The age-standardized mortality rate for PAD as MCOD slightly declined from 19.6 to 17.8 in men and from 10.8 to 9.1 deaths per 100,000 population-years in women. The age-standardized PAD-specific mortality rate (UCOD) remained stable: 3.1 to 3.7 per 100,000 person-years in women (Average Annual Percent Change 1.3, 95% CI -0.8; 3.4%) and 4.4 to 4.3 per 100,000 person-years (Average Annual Percent Change -0.2, 95% CI -3.6; 3.4%) in men. PAD contributed to 1.6% of all deaths recorded in the region. Ischemic heart disease, diabetes mellitus and neoplasms were the most prevalent UCOD among PAD patients. PAD was associated with diabetes mellitus (OR 3.79, 95%CI 3.55-4.06) and chronic kidney diseases (OR 2.73, 95%CI 2.51-2.97) in men, and with atrial fibrillation (OR 2.26, 95%CI 2.10-2.44) in women.

CONCLUSION

PAD remains a substantial cause of death in the general population of this high-income region of Western Europe with marked sex-specific differences.

Veneto Region dementia-related mortality during the COVID-19 pandemic: multiple causes of death and time series analysis

BACKGROUND

Older individuals with dementia have been severely affected by the COVID-19 pandemic. There is a lack of in-depth evaluation of mortality trends using both the underlying cause of death (UCOD) and the multiple causes of death (MCOD) approaches. The objective of this study was to determine the impact of the COVID-19 pandemic on dementia-related deaths considering comorbidities and the place of death.

METHODS

This retrospective, population-based study was conducted in Veneto, Italy. All the death certificates of individuals aged ≥65 years issued from 2008 to 2020 were analyzed for dementia-related mortality using age-standardized sex-stratified rates of dementia as UCOD and MCOD. Excess in monthly dementia-related mortality in 2020 was estimated by applying Seasonal Autoregressive Integrated Moving Average (SARIMA) model.

RESULTS

Overall, 70 301 death certificates reported dementia (MCOD proportional mortality: 12.9%), and 37 604 cases identified it as UCOD (proportional mortality: 6.9%). In 2020, the MCOD proportional mortality increased to 14.3% whereas that of UCOD remained static (7.0%). Compared to the SARIMA prediction, MCOD increased by 15.5% in males and 18.3% in females in 2020. Compared to the 2018-19 average, deaths in nursing homes increased by 32% in 2020, at home by 26% and in hospitals by 12%.

CONCLUSIONS

An increase in dementia-related mortality during the first months of the COVID-19 pandemic could only be detected using the MCOD approach. MCOD proved to be more robust, and hence, should be included in future analyses. Nursing homes appeared to be the most critical setting which should guide establishing protective measures for similar situations.

Diabetes as a cause of death across different COVID-19 epidemic waves

AIMS

The aim of this study is to assess the role of diabetes as a cause of death through different epidemic waves of COVID-19.

METHODS

The annual percentage change in age-standardized rates (APC) was estimated for diabetes as the underlying (UCOD) and as multiple causes of death (MCOD) in 2008-2019. Diabetes-related deaths in 2020 were compared to the 2018-2019 average. SARIMA models were applied to monthly excess in mortality considering seasonality and long-term trends.

RESULTS

2018-2019-Age-standardized mortality rates decreased, especially among females (MCOD: APC -2.49, 95%CI -3.01/-1.97%). In 2020, deaths increased by 19% (95%CI 13-25%) for UCOD, and by 27% (95%CI 24-30%) for MCOD. Diabetes and COVID-19 accounted for 74% of such excess. During the first epidemic wave, the increase in observed rates vs predicted by the model was larger in males (March +39%, April +46%) than in females (+30% and +32%). In the second wave, a huge excess of similar magnitude was observed in the two sexes; rates in December exceeded those predicted by more than 100%.

CONCLUSIONS

The COVID-19 pandemic abruptly interrupted a long-term declining trend in mortality associated to diabetes. MCOD analyses are warranted to fully estimate the impact of epidemic waves on diabetes-related mortality.

Parkinson's disease related mortality: Long-term trends and impact of COVID-19 pandemic waves

Introduction

Parkinson's disease (PD) mortality burden is increasing worldwide, but accurate estimates on the magnitude of the impact of the COVID-19 pandemic are missing. Mortality rates vary largely when considering PD as underlying cause of death (UCOD), or as one among multiple causes reported in death certificates (MCOD). The aim of this study is to assess COVID-19 impact on PD-related mortality trends using the UCOD and MCOD approach.

Methods

Mortality records between 01/2008-12/2020 of residents aged ≥45 years in Veneto Region (Northeastern Italy) with any mention of PD were collected. Age-standardized sex-specific mortality rates were estimated for PD-related deaths as UCOD and MCOD to assess time trends. The average annual percentage change in age-standardized rates (AAPC) was estimated by linear regression models. Monthly mortality in 2020, the first year of the pandemic, was plotted against the 2018–2019 average.

Results

Overall, 13,746 PD-related deaths (2.3% of all deaths) were identified, 52% males, median age 84 years. Proportional mortality increased from 1.9% (2008) to 2.8% (2020). AAPC through 2008–2019 was +5.2% for males and +5.3% for females in analyses of the UCOD, and +1.4% in both genders based on MCOD. Excess in PD-related mortality during 2020 corresponded to 19% for UCOD and 28% for MCOD, with the latter showing two peaks corresponding to the first (28%) and second (59%) pandemic waves.

Conclusion

Age-standardized PD-related mortality rates have steeply increased during COVID-19 pandemic, amplifying a pre-existing long-term trend. Hence, surveillance of mortality associated to PD is warranted in the forthcoming pandemic and post-pandemic years.

Congestive heart failure and comorbidity as determinants of colorectal cancer perioperative outcomes

There has been an increase in surgical interventions in frailer elderly with concomitant chronic diseases. The purpose of this paper was to evaluate the impact of aging and comorbidities on outcomes in patients who underwent surgery for the treatment of colorectal cancer (CRC) in Veneto Region (Northeastern Italy). This is a retrospective cohort study in patients ≥ 40 years who underwent elective or urgent CRC surgical resection between January 2013 and December 2015. Independent variables included: age, sex, and comorbidities. We analyzed variables associated with the surgical procedure, such as stoma creation, hospitalization during the year before the index surgery, the surgical approach used, the American Society of Anesthesiologists (ASA) score, and the Charlson Comorbidity Index score. Eight thousand four hundred and forty-seven patients with CRC underwent surgical resection. Patient age affected both pre- and post-resection LOS as well as the overall survival (OS); however, it did not affect the 30-day readmission and reoperation rates. Multivariate analysis showed that age represented a risk factor for longer preoperative and postoperative LOS as well as for 30-day and 365-day mortality, but it was not associated with an increased risk of 30-day reoperation and 30-day readmission. Chronic Heart Failure increased the 30-day mortality risk by four times, the preoperative LOS by 51%, and the postoperative LOS by 33%. Chronic renal failure was associated with a 74% higher 30-day readmission rate. Advanced age and comorbidities require a careful preoperative evaluation and appropriate perioperative management to improve surgical outcomes in older patients undergoing elective or urgent CRC resection.

Deaths related to pulmonary embolism and cardiovascular events before and during the 2020 COVID-19 pandemic: An epidemiological analysis of data from an Italian high-risk area

BACKGROUND

Pulmonary embolism is a known complication of coronavirus disease 2019 (COVID-19). Epidemiological population data focusing on pulmonary embolism-related mortality is limited.

METHODS

Veneto is a region in Northern Italy counting 4,879,133 inhabitants in 2020. All ICD-10 codes from death certificates (1st January 2018 to 31st December 2020) were examined. Comparisons were made between 2020 (COVID-19 outbreak) and the average of the two-year period 2018-2019. All-cause, COVID-19-related and the following cardiovascular deaths have been studied: pulmonary embolism, hypertensive disease, ischemic heart disease, atrial fibrillation/flutter, and cerebrovascular diseases.

RESULTS

In 2020, a total of 56,412 deaths were recorded, corresponding to a 16% (n = 7806) increase compared to the period 2018-2019. The relative percentage increase during the so-called first and second waves was 19% and 44%, respectively. Of 7806 excess deaths, COVID-19 codes were reported in 90% of death certificates. The percentage increase in pulmonary embolism-related deaths was 27% (95%CI 19-35%), 1018 deaths during the year 2020, compared to 804 mean annual deaths in the period 2018-2019. This was more evident among men, who experience an absolute increase of 147 deaths (+45%), than in women (+67 deaths; +14%). The increase was primarily driven by deaths recorded during the second wave (+91% in October-December). An excess of deaths, particularly among men and during the second wave, was also observed for other cardiovascular diseases, notably hypertensive disease, atrial fibrillation, cerebrovascular disease, and ischemic heart disease.

CONCLUSIONS

We observed a considerable increase of all-cause mortality during the year 2020. This was mainly driven by COVID-19 and its complications. The relative increase in the number of pulmonary embolism-related deaths was more prominent during the second wave, suggesting a possible underdiagnosis during the first wave.

Time series of diabetes attributable mortality from 2008 to 2017

PURPOSE

Diabetes is a growing health problem. The aim of this study was to capture time trends in mortality associated with diabetes.

METHODS

The mortality database of the Veneto region (Italy) includes both the underlying causes of death, and all the diseases mentioned in the death certificate. The annual percent change (APC) in age-standardized rates from 2008 to 2017 was computed by the Joinpoint Regression Program.

RESULTS

Overall 453,972 deaths (56,074 with mention of diabetes) were observed among subjects aged ≥ 40 years. Mortality rates declined for diabetes as the underlying cause of death and from diabetes-related circulatory diseases. The latter declined especially in females - 4.4 (CI 95% - 5.3/- 3.4), while in males the APC was - 2.8 (CI 95% - 4.0/- 1.6).

CONCLUSION

We observed a significant reduction in mortality during the period 2008-2017 in diabetes either as underlying cause of death or when all mentions of diabetes in the death certificate were considered.

Splanchnic vein thrombosis-related mortality in the Veneto region (Italy), 2008-2019: Retrospective analysis of epidemiological data

BACKGROUND

Splanchnic vein thrombosis (SVT) is an uncommon manifestation of venous thromboembolism. Epidemiological data on SVT-related mortality rate is not available to date.

METHODS

We investigated time trends in SVT-related mortality rate, 2008-2019, in Veneto, an Italian high-income region of approximatively 5,000,000 inhabitants. SVT-related deaths were identified by the following ICD-10 codes: I81 (portal vein thrombosis), K75.1 (phlebitis of portal vein), K76.3 (liver infarction), K76.5 (hepatic veno-occlusive disease) or I82.0 (Budd-Chiari syndrome).

RESULTS

During the study period, a total of 557,932 deaths were recorded. SVT was reported in 823 cases; 776 (94%) consisted of portal vein thrombosis. The age-standardized SVT-related mortality rate varied from 1.47 (year 2008) to 1.52 (year 2019) per 100,000 person-years. An increase in the cause-specific annual mortality rate was observed in women (0.56 in 2008 to 1.04 per 100,000 person-years in 2019; average annual percent change +5.7%, 95%CI +3.1; +8.3%). In men, the cause-specific mortality rate moved from 2.53 in 2008 to 2.03 per 100,000 person-years in 2019 (average annual percent change -1.2%, 95%CI -4.0; +1.6%). After conditioning for age and sex, the odds of having a concomitant liver disease were higher for SVT-related deaths (OR 31.6; 95%CI 17.1-37.0) compared with non-SVT-related deaths. This also applies to gastrointestinal cancers (OR 1.28; 95%CI 1.07-1.55), although to a lesser extent.

CONCLUSIONS

We report first epidemiological estimates of SVT-related mortality in a Western country. These values will serve as a reference to weight novel potential factors associated with SVT-related death and interpret them from an epidemiological perspective.

SARS-CoV-2 and COVID-19 in diabetes mellitus. Population-based study on ascertained infections, hospital admissions and mortality in an Italian region with ∼5 million inhabitants and ∼250,000 diabetic people

BACKGROUND AND AIMS

Diabetes conveys an increased risk of infectious diseases and related mortality. We investigated risk of ascertained SARS-CoV-2 infection in diabetes subjects from the Veneto Region, Northeastern Italy, as well as the risk of being admitted to hospital or intensive care unit (ICU), or mortality for COVID-19.

METHODS AND RESULTS

Diabetic subjects were identified by linkage of multiple health archives. The rest of the population served as reference. Information on ascertained infection by SARS-CoV-2, admission to hospital, admission to ICU and mortality in the period from February 21 to July 31, 2020 were retrieved from the regional registry of COVID-19. Subjects with ascertained diabetes were 269,830 (55.2% men; median age 72 years). Reference subjects were 4,681,239 (men 48.6%, median age 46 years). Ratios of age- and gender-standardized rates (RR) [95% CI] for ascertained infection, admission to hospital, admission to ICU and disease-related death in diabetic subjects were 1.31 [1.19-1.45], 2.11 [1.83-2.44], 2.45 [1.96-3.07], 1.87 [1.68-2.09], all p < 0.001. The highest RR of ascertained infection was observed in diabetic men aged 20-39 years: 1.90 [1.04-3.21]. The highest RR of ICU admission and death were observed in diabetic men aged 40-59 years: 3.47 [2.00-5.70] and 5.54 [2.23-12.1], respectively.

CONCLUSIONS

These data, observed in a large population of ∼5 million people of whom ∼250,000 with diabetes, show that diabetes not only conveys a poorer outcome in COVID-19 but also confers an increased risk of ascertained infection from SARS-CoV-2. Men of young or mature age have the highest relative risks.

Decline in Overall Pulmonary Embolism-Related Mortality and Increasing Prevalence of Cancer-Associated Events in the Veneto Region (Italy), 2008-2019

BACKGROUND

 Despite evidence of ongoing epidemiological changes in deaths from venous thromboembolism in high-income countries, little recent information is available on the time trends in mortality related to pulmonary embolism (PE) as underlying or concomitant cause of death in Europe.

METHODS

 We accessed the regional database of death certificates of Veneto Region (Northern Italy, population 4,900,000) from 2008 to 2019. We analyzed the trends in crude and age-adjusted annual rates of mortality related to PE (reported either as underlying cause or in any position in the death certificate) using Joinpoint regression; in the contribution of PE to mortality (proportionate mortality); and, using logistic regression, in the association between PE and cancer at death.

RESULTS

 Between 2008 and 2019, the annual age-standardized mortality rate related to PE in Veneto decreased from 20.7 to 12.6 deaths per 100,000 population for PE in any position of the death certificate, and from 4.6 to 2.2 deaths per 100,000 population for PE as underlying cause of death. PE-related proportionate mortality remained up to twice as high in women. The age- and sex-adjusted odds ratio for cancer in deaths with versus without PE constantly increased from 1.01 (95% confidence interval [CI]: 0.88-1.16) in 2008 to 1.58 (95% CI: 1.35-1.83) in 2019.

CONCLUSION

 The descending trends in PE-related mortality reported for Europe up to 2015 for both sexes continued thereafter in this high-income region of Northern Italy. However, sex differences in proportionate mortality persist. The increasing strength in the association between cancer and PE may indicate a change in risk factor distribution, calling for tailored management practices in this patient group.

Different approaches to the analysis of causes of death during the COVID-19 epidemic

OBJECTIVE

The aim of the study is to assess the impact of the COVID-19 pandemic on causes of mortality through multiple methodological approaches.

MATERIALS AND METHODS

The causes of mortality in the Veneto region (Italy) during the first epidemic wave, March-April 2020, were compared with the corresponding months of the previous two years. Both the underlying cause of death (UCOD), and all diseases reported in the death certificate (multiple causes of death) were investigated; a further analysis was carried out through a simulation where the UCOD was selected after substituting ICD-10 codes for COVID with unspecified pneumonia.

RESULTS

Overall 10,222 deaths were registered in March-April 2020, corresponding to a 24% increase compared to the previous two years. COVID-19 was mentioned in 1,444 certificates, and selected as the UCOD in 1,207 deaths. Based on the UCOD, the increases in mortality were observed for COVID and related respiratory conditions, diabetes mellitus, hypertensive heart diseases, cerebrovascular diseases, and ill-defined causes. Multiple causes of death and the simulation analysis demonstrated further increases in mortality related to dementia/Alzheimer and chronic lower respiratory diseases.

CONCLUSIONS

This first report demonstrates an increase of several causes of death during the pandemic, underlying the need of a continuous surveillance of mortality records through different analytic strategies.

Causes of mortality in a large population-based cohort of psychiatric patients in Southern Europe

The World Health Organization considers excess morbidity and mortality among people with mental disorders as a high public health priority. This study aims to estimate the mortality risk and causes of death among a large population-based cohort of psychiatric patients. All residents in Veneto (Northeastern Italy) aged between 18 and 84 years with a contact with Community Mental Health Centers in 2008 and a psychiatric diagnosis (n = 54,350) were followed-up for 10 years. Standardized Mortality Ratios (SMR) and excess mortality were computed, with the general regional population as a reference. Mortality was more than doubled (males SMR = 2.4; females SMR = 2.2) and the relative increase in mortality was much larger in young and middle-aged adults (18-44 and 45-64 years) across all diagnostic groups. The most frequent causes were circulatory diseases (27%) and neoplasms (26%). Although the risk was increased by about tenfold, deaths from suicide were limited to 6% and 4% of all decedents in males and females, respectively. Patients with schizophrenia showed a very high risk for mortality for diabetes and cardiovascular disorders. A large excess was found also for respiratory diseases and a two-fold increase for lung cancer in males and breast cancer in females. Although chronic physical disorders are known to be the main causes of mortality in such patients, they receive far less attention than suicide or accidents. Our results suggest that there is still a need to plan actions to prevent excess mortality and to improve the quality of life of patients with mental disorders.

Intravescical instillation of Calmette-Guérin bacillus and COVID-19 risk

It has been theorized that Calmette-Guérin bacillus may prevent or reduce the severity of COVID-19 through a nonspecific stimulation of the immune system. A preliminary assessment of SARS-CoV-2 infection rates and outcomes among 2803 individuals affected with high risk non-muscle-invasive bladder cancer and treated with intra-bladder instillation of BCG, showed no evidence of a protective effect. However, the interpretation of these data need some caution, due to the low prevalence of infection (<1%) observed within this population, along with the fact that intra-bladder administration cannot mirror the usual intradermal administration of BCG, in particular in patients partially immunocompromised. Confirmation by larger prospective studies is required.

SARS-CoV-2 serosurvey in health care workers of the Veneto Region

Objectives The ongoing outbreak of coronavirus disease (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) poses formidable challenges to all health care systems. Serological assays may be used for improving disease management when appropriately applied, for investigating the antibody responses mounted against SARS-CoV-2 infection and for assessing its real prevalence. Although testing the whole population is impractical, well-designed serosurveys in selected subpopulations in specific risk groups may provide valuable information. We evaluated the prevalence of SARS-CoV-2 infection in health care workers (HCW) who underwent molecular testing with reverse transcription real-time polymerase chain reaction (rRT-PCR) in the main hospitals of the Veneto Region of Italy by measuring specific antibodies (Abs). Methods Both immunoglobulin (Ig)M and IgG antibodies against SARS-Cov-2 S-antigen and N-protein were measured using a validated chemiluminescent analytical system (CLIA) called Maglumi™ 2000 Plus (New Industries Biomedical Engineering Co., Ltd [Snibe], Shenzhen, China). Results A total of 8,285 HCW were tested. SARS-CoV-2 specific antibodies (IgM, IgG or both) were detectable in 378 cases (4.6%, 95% CI 4.1-5.0%). Seroconversion was observed in 4.4% of women vs. 5.0% of men, but this difference was not significant. Although detectable antibodies were found in all HCW who developed severe COVID-19 infection (100%), lower seropositivity was found in mild disease (83%) and the lowest prevalence (58%) was observed in asymptomatic subjects. Conclusions Seroprevalence surveys are of utmost importance for understanding the rate of population that has already developed antibodies against SARS-CoV-2. The present study defined precisely the circulation of SARS-CoV-2 in a cohort of HCW in the Veneto Region, with its prevalence (4.6%) reflecting a relatively low circulation. Symptomatic individuals or those hospitalized for medical care were 100% antibody positive, whilst Abs were only detectable in 58% of asymptomatic carriers.

Estimating the real burden of cardiovascular mortality in diabetes

OBJECTIVE

To compare different methods assessing the burden of cardiovascular mortality in diabetes mellitus, which is usually underestimated by standard mortality statistics based on the underlying cause of death.

PATIENTS AND METHODS

All residents in the Veneto Region (Italy) aged 30-89 years with co-payment exemption for diabetes in January 2010 (n=185,341) were identified and linked with mortality records (2010-2015). The underlying causes of death, as well as all the diseases mentioned in the death certificate (multiple causes), were extracted. The standardized mortality ratios (SMR) were computed with regional rates as a reference.

RESULTS

After grouping diabetes and circulatory diseases as the underlying cause of death, the mortality rates were highly increased, especially among patients aged 30-54 years: SMR 4.24 (95% confidence interval 3.57-5.00) and 9.84 (7.47-12.72) in males and females, respectively. After re-assignment of the underlying cause in deaths from diabetes, the percentage of overall mortality caused by circulatory diseases increased from 33.8% to 41.7%. Based on multiple causes, the risk of death was increased for several cardiovascular diseases, including causes rarely emerging from standard mortality statistics such as atrial fibrillation/flutter.

CONCLUSIONS

The re-assignment of the underlying cause and the analyses of the multiple causes of death allowed to estimate the whole burden of mortality associated with cardiovascular diseases.

Impactibility Model for Population Health Management in High-Cost Elderly Heart Failure Patients: A Capture Method Using the ACG System

The aim of the present study is to use the ACG (Adjusted Clinical Groups) System to create an impactibility model by identifying homogeneous clinical subgroups of patients with high risk of an adverse health outcome in a population of heart failure patients with complex health care needs (PCHCN). This method will allow policy makers to target and prioritize services for the highest risk PCHCN in the context of limited health care resources, by identifying relatively homogeneous groups of patients with similar comorbidities. Subjects classified in 2012 as PCHCN in a local health unit by the ACG System were linked with hospital discharge records in 2013. The authors applied the Apriori algorithm to identify the most common sets of the most predictive diseases for the following outcomes of interest: at least 1 admission and at least 1 preventable admission in the year. Predictive performance for the former outcome was compared between the impactability model with the available ACG's individual risk score. The Apriori algorithm also was applied to predict the latter outcome as an example of an event that a policy maker would be able to prevent. Evidence showed no statistically significant difference between the 2 methods. The present model also displayed evidence of good calibration. The Apriori algorithm was applied as an impactibility model, built based on the ACG System, that allowed the authors to obtain an "ACG-based group risk score" and use it to identify clinically homogeneous subgroups of PCHCN. This will help policy makers develop "tool kits" for homogeneous groups of patients that improve health outcomes.

Effectiveness of a community care management program for multimorbid elderly patients with heart failure in the Veneto Region

BACKGROUND

The rapidly growing population of elderly subjects with multimorbidity is at risk of receiving fragmented and uncoordinated care, and have frequent hospitalizations and emergency room (ER) visits.

AIMS

The study aims to describe the impact of a care management program (CMP) developed in the Veneto region (Northeastern Italy) for patients affected by chronic heart failure (CHF) and multimorbidity.

METHODS

The CMP was provided to 330 patients > 65 years suffering from CHF and multimorbidity. They were compared to a propensity score matched reference group who received usual care. The intervention was provided by care manager nurses and General Practitioners working in the community. The quality of care from the patients' perspective was assessed by means of the Patient Assessment of Chronic Illness Care (PACIC). The effectiveness of the CMP has been evaluated comparing time changes in hospital admissions in the medical area and ER visits between the intervention and the reference group.

RESULTS

The median PACIC overall score was 4 out of 5. The intervention group showed a reduction over time by 39% in hospitalization rates and by 33% in ER visits. The recourse to hospital care and ER did not change in the reference group.

DISCUSSION

The current results indicate that a CMP can reduce Emergency Room visits and hospital admissions for elderly patients with CHF and multimorbidity.

CONCLUSIONS

The CMP by emphasizing prevention, self-management, continuity and coordination of care, is beneficial among older community-dwelling multimorbid persons as compared to usual care.

Multimorbidity patterns in high-need, high-cost elderly patients

Introduction

Patients with complex health care needs (PCHCN) are individuals who require numerous, costly care services and have been shown to place a heavy burden on health care resources. It has been argued that an important issue in providing value-based primary care concerns how to identify groups of patients with similar needs (who pose similar challenges) so that care teams and care delivery processes can be tailored to each patient subgroup. Our study aims to describe the most common chronic conditions and their combinations in a cohort of elderly PCHCN.

Methods

We focused on a cohort of PCHCN residing in an area served by a local public health unit (the “Azienda ULSS4-Veneto”) and belonging to Resource Utilization Bands 4 and 5 according to the ACG System. For each patient we extracted Expanded Diagnosis Clusters, and combined them with information available from Rx-MGs diagnoses. For the present work we focused on 15 diseases/disorders, analyzing their combinations as dyads and triads. Latent class analysis was used to elucidate the patterns of the morbidities considered in the PCHCN.

Results

Five disease clusters were identified: one concerned metabolic-ischemic heart diseases; one was labelled as neurological and mental disorders; one mainly comprised cardiac diseases such as congestive heart failure and atrial fibrillation; one was largely associated with respiratory conditions; and one involved neoplasms.

Conclusions

Our study showed specific common associations between certain chronic diseases, shedding light on the patterns of multimorbidity often seen in PCHCN. Studying these patterns in more depth may help to better organize the intervention needed to deal with these patients.

Multimorbidity and Hospital Admissions in High-Need, High-Cost Elderly Patients

Objective: The aim was to clarify which pairs or clusters of diseases predict the hospital-related events and death in a population of patients with complex health care needs (PCHCN). Method: Subjects classified in 2012 as PCHCN in a local health unit by ACG® (Adjusted Clinical Groups) System were linked with hospital discharge records in 2013 to identify those who experienced any of a series of hospital admission events and death. Number of comorbidities, comorbidities dyads, and latent classes were used as exposure variable. Regression analyses were applied to examine the associations between dependent and exposure variables. Results: Besides the fact that larger number of chronic conditions is associated with higher odds of hospital admission or death, we showed that certain dyads and classes of diseases have a particularly strong association with these outcomes. Discussion: Unlike morbidity counts, analyzing morbidity clusters and dyads reveals which combinations of morbidities are associated with the highest hospitalization rates or death.