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.

Association of physical activity trajectories with major cardiovascular diseases in elderly people.

INTRODUCTION: Cardiovascular benefits deriving from physical activity are well known, but it is unclear whether physical activity trajectories in late life are associated with different risks of cardiovascular diseases. METHODS: Progetto Veneto Anziani (Pro.V.A.) is a cohort study of 3099 Italians aged ≥65 years with baseline assessment in 1995-1997 and follow-up visits at 4 and 7 years. Surveillance was extended to 2018 by linkage with hospital and mortality records. Prevalent and incident cardiovascular diseases (coronary heart disease, heart failure and stroke) were identified through clinical examination, questionnaire, or hospital records. Moderate to vigorous physical activity was considered as a time-varying variable. Physical activity trajectories were categorised as: stable-low, high-decreasing, low-increasing and stable-high. Exposure was also assessed at 70, 75, 80 and 85 years. RESULTS: Overall, physical activity was associated with lower rates of incident cardiovascular diseases. A significant risk reduction was present among men and was stronger earlier in late life (70-75 years). Trajectories of stable-high physical activity were associated with a significantly lower risk of cardiovascular outcomes among men (HR 0.48, 95% CI 0.27 to 0.86) compared with those with stable-low trajectories (p for trend 0.002). No significant association was found with stroke. The greatest cardiovascular risk reduction was observed for >20 min/day of physical activity, and was more marked at 70 years. CONCLUSION: Increasingly active trajectories of physical activity were associated with lower rates of cardiovascular diseases and overall mortality. Promoting at least 20 min/day of physical activity early in late life seems to provide the greatest cardiovascular benefits.

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.

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.

A case-mix classification system for explaining healthcare costs using administrative data in Italy.

BACKGROUND: The Italian National Health Service (NHS) provides universal coverage to all citizens, granting primary and hospital care with a copayment system for outpatient and drug services. Financing of Local Health Trusts (LHTs) is based on a capitation system adjusted only for age, gender and area of residence. We applied a risk-adjustment system (Johns Hopkins Adjusted Clinical Groups System, ACG® System) in order to explain health care costs using routinely collected administrative data in the Veneto Region (North-eastern Italy). METHODS: All residents in the Veneto Region were included in the study. The ACG system was applied to classify the regional population based on the following information sources for the year 2015: Hospital Discharges, Emergency Room visits, Chronic disease registry for copayment exemptions, ambulatory visits, medications, the Home care database, and drug prescriptions. Simple linear regressions were used to contrast an age-gender model to models incorporating more comprehensive risk measures aimed at predicting health care costs. RESULTS: A simple age-gender model explained only 8% of the variance of 2015 total costs. Adding diagnoses-related variables provided a 23% increase, while pharmacy based variables provided an additional 17% increase in explained variance. The adjusted R-squared of the comprehensive model was 6 times that of the simple age-gender model. CONCLUSIONS: ACG System provides substantial improvement in predicting health care costs when compared to simple age-gender adjustments. Aging itself is not the main determinant of the increase of health care costs, which is better explained by the accumulation of chronic conditions and the resulting multimorbidity.