High-Dose Quadrivalent Influenza Vaccine for Prevention of Cardiovascular and Respiratory Hospitalizations in Older Adults

BACKGROUND

We assessed the relative vaccine effectiveness (rVE) of high-dose quadrivalent influenza vaccine (QIV-HD) versus standard-dose quadrivalent influenza vaccine (QIV-SD) in preventing respiratory or cardiovascular hospitalizations in older adults.

METHODS

FinFluHD was a phase 3b/4 modified double-blind, randomized pragmatic trial. Enrolment of 121,000 adults ≥65 years was planned over three influenza seasons (October to December 2019-2021). Participants received a single injection of QIV-HD or QIV-SD. The primary endpoint was first occurrence of an unscheduled acute respiratory or cardiovascular hospitalization (ICD-10 primary discharge J/I codes), from ≥14 days post-vaccination until May 31. The study was terminated after one season due to COVID-19; follow-up data for 2019-2020 are presented.

RESULTS

33,093 participants were vaccinated (QIV-HD, n = 16,549; QIV-SD, n = 16,544); 529 respiratory or cardiovascular hospitalizations (QIV-HD, n = 257; QIV-SD, n = 272) were recorded. The rVE of QIV-HD versus QIV-SD to prevent respiratory/cardiovascular hospitalizations was 5.5% (95% CI, -12.4 to 20.7). When prevention of respiratory and cardiovascular hospitalizations were considered separately, rVE estimates of QIV-HD versus QIV-SD were 5.4% (95% CI, -28.0 to 30.1) and 7.1% (95% CI, -15.0 to 25.0), respectively. Serious adverse reactions were <0.01% in both groups.

CONCLUSIONS

Despite insufficient statistical power due to the impact of COVID-19, rVE point estimates demonstrated a trend toward a benefit of QIV-HD over QIV-SD. QIV-HD was associated with lower respiratory or cardiovascular hospitalization rates than QIV-SD, with a comparable safety profile. Adequately powered studies conducted over multiple influenza seasons are needed to determine statistical significance of QIV-HD compared with QIV-SD against preventing respiratory and cardiovascular hospitalizations.

TRIAL REGISTRATION

ClinicalTrials.gov number: NCT04137887.

Thyroid dysfunction and mortality in cardiovascular hospitalized patients

Background

Thyroid dysfunction (TD) is associated with increased cardiovascular morbidity and mortality. Early detection may influence the clinical management.

Objective

To determine the prevalence, predictors, and prognostic value of TD among hospitalized cardiac patients.

Methods

A retrospective analysis of a 12-year database consisting of nonselectively adult patients admitted to a Cardiology Department and who were all screened for serum thyroid-stimulation-hormone (TSH) levels . Statistical analysis of demographic and clinical characteristics, mortality and length of hospital stay (LOS) was performed.

Results

A total of 14369 patients were included in the study; mean age was 67 years, 38.3% females. 1465 patients (10.2%) had TD. The most frequent type of TD was mildly elevated TSH (5.4%) followed by mildly reduced TSH (2.1%), markedly elevated TSH (1.5%), and markedly reduced TSH (1.2%). Female gender, history of hypothyroidism, heart failure, atrial fibrillation, renal failure and amiodarone use were significantly associated with TD. During follow-up 2975 (20.7%) patients died. There was increased mortality in the mildly reduced TSH subgroup (hazard ratio [HR] =1.44), markedly elevated TSH subgroup (HR=1.40) and mildly elevated TSH subgroup (HR=1.27). LOS was longer for patients with TD; the longest stay was observed in the markedly elevated TSH subgroup (odds ratio=1.69).

Conclusion

The prevalence of TD in hospitalized cardiac patients is 10.2%. TD is associated with an increased mortality rate and LOS. Consequently, routine screening for thyroid function in this population is advisable, particularly for selected high-risk subgroups. Future studies are needed to determine whether optimizing thyroid function can improve survival in these patients.

Disparate Cardiovascular Hospitalization Trends Among Young and Middle-Aged Adults Within and Across Race and Ethnicity Groups in Four States in the United States

Background Inpatient hospitalizations for cardiovascular disease (CVD) decreased nationally in the past decade. However, data are lacking on whether national declines represent trends within and across race and ethnicity populations from different US regions. Methods and Results Using State Inpatient Databases, Census Bureau and Behavioral Risk Factor Surveillance System data for Florida, Kentucky, New Jersey, and North Carolina, we identified all CVD hospitalizations and population characteristics for adults aged 18 to 64 years between January 1, 2009 and December 31, 2018. We calculated yearly CVD hospitalization rates for each state for the overall population, by sex, race, and ethnicity. We modeled yearly trends in age-adjusted CVD hospitalization rate in each state using negative binomial regression. State base populations were similar by age (mean age: 40-42 years) and sex (50%-51% female) throughout the study period. There were 314 973 and 288 843 total CVD hospitalizations among the 4 states in 2009 and 2018, respectively. Crude hospitalization rates declined in all states (age 18-44 years NJ: -33.4%; KY: -17.0%; FL: -11.9%; NC: -11.2%; age 45-64 years NJ: -29.8%; KY: -20.3%; FL: -12.2%; NC: -11.6%) over the study period. In age-adjusted models, overall hospitalization rates declined significantly in NJ -2.5%/y (95% CI, -2.9 to -2.1) and in KY -1.6%/y (-1.9 to -1.2) with no significant declining trend in FL and NC. Similar findings were present by sex. Among non-Hispanic White populations, mean yearly decline in hospitalization rate was significant in all states except FL, with the greatest declines in NJ (-3.8%/y [-4.4 to -3.2], P values for state-year interaction <0.0001). By contrast, a significant declining trend was present for non-Hispanic Black and Hispanic populations only in NJ (P values for state-year interaction <0.001). We found similar differences in trend between states in sensitivity analyses incorporating additional demographic and comorbid characteristics. Conclusions Decreases in CVD hospitalization rates in the past decade among nonelderly adults varied considerably by state and appeared largely driven by declines among non-Hispanic White populations. Overall declines did not represent divergent trends between states within non-Hispanic Black and Hispanic populations. Recognition of differences not just between but also within race and ethnicity populations should inform national and local policy initiatives aimed at reducing disparities in CVD outcomes.

Remotely Monitored Cardiac Implantable Electronic Device Data Predict All-Cause and Cardiovascular Unplanned Hospitalization

Background Unplanned hospitalizations are common in patients with cardiovascular disease. The "Triage Heart Failure Risk Status" (Triage-HFRS) algorithm in patients with cardiac implantable electronic devices uses data from up to 9 device-derived physiological parameters to stratify patients as low/medium/high risk of 30-day heart failure (HF) hospitalization, but its use to predict all-cause hospitalization has not been explored. We examined the association between Triage-HFRS and risk of all-cause, cardiovascular, or HF hospitalization. Methods and Results A prospective observational study of 435 adults (including patients with and without HF) with a Medtronic Triage-HFRS-enabled cardiac implantable electronic device (cardiac resynchronization therapy device, implantable cardioverter-defibrillator, or pacemaker). Cox proportional hazards models explored association between Triage-HFRS and time to hospitalization; a frailty term at the patient level accounted for repeated measures. A total of 274 of 435 patients (63.0%) transmitted ≥1 high HFRS transmission before or during the study period. The remaining 161 patients never transmitted a high HFRS. A total of 153 (32.9%) patients had ≥1 unplanned hospitalization during the study period, totaling 356 nonelective hospitalizations. A high HFRS conferred a 37.3% sensitivity and an 86.2% specificity for 30-day all-cause hospitalization; and for HF hospitalizations, these numbers were 62.5% and 85.6%, respectively. Compared with a low Triage-HFRS, a high HFRS conferred a 4.2 relative risk of 30-day all-cause hospitalization (8.5% versus 2.0%), a 5.0 relative risk of 30-day cardiovascular hospitalization (3.6% versus 0.7%), and a 7.7 relative risk of 30-day HF hospitalization (2.0% versus 0.3%). Conclusions In patients with cardiac implantable electronic devices, remotely monitored Triage-HFRS data discriminated between patients at high and low risk of all-cause hospitalization (cardiovascular or noncardiovascular) in real time.

Association of Functional Characteristics and Physiotherapy with COVID-19 Mortality in Intensive Care Unit in Inpatients with Cardiovascular Diseases

Background and Objectives: To estimate the association between admission functional outcomes and exposure to physiotherapy interventions with mortality rate in intensive care unit (ICU) inpatients with cardiovascular diseases and new coronavirus disease (COVID-19). Materials and Methods: Retrospective cohort including 100 ICU inpatients (mean (standard deviation), age 75 (16) years) split into COVID-19+ or COVID-19−. The association of in-ICU death with admission functional outcomes and physiotherapy interventions was investigated using univariable and multivariable regression models. Results: In total, 42 (42%) patients tested positive for COVID-19. In-ICU mortality rate was 37%, being higher for the COVID-19+ group (odds ratio, OR (95% CI): 3.15 (1.37−7.47), p = 0.008). In-ICU death was associated with lower admission ICU Mobility Scale score (0.81 (0.71−0.91), p = 0.001). Restricted mobility (24.90 (6.77−161.94), p < 0.001) and passive kinesiotherapy (30.67 (9.49−139.52), p < 0.001) were associated with in-ICU death, whereas active kinesiotherapy (0.13 (0.05−0.32), p < 0.001), standing (0.12 (0.05−0.30), p < 0.001), or walking (0.10 (0.03−0.27), p < 0.001) were associated with in-ICU discharge. Conclusions: In-ICU mortality was higher for inpatients with cardiovascular diseases who had COVID-19+, were exposed to invasive mechanical ventilation, or presented with low admission mobility scores. Restricted mobility or passive kinesiotherapy were associated with in-ICU death, whereas active mobilizations (kinesiotherapy, standing, or walking) were associated with in-ICU discharge in this population.

LIPCAR Is Increased in Chronic Symptomatic HF Patients. A Sub-Study of the GISSI-HF Trial

BACKGROUND

The long noncoding RNA LIPCAR (Long Intergenic noncoding RNA Predicting CARdiac remodeling) has emerged as a promising biomarker in cardiac disease and cardiac remodeling. To determine whether LIPCAR levels help for a molecular phenotyping of chronic heart failure (HF) patients, this study assessed the association of LIPCAR with severity of the disease and its progression, and with risk of death or hospitalization in HF patients.

METHODS

LIPCAR was measured in plasma of 967 HF patients with symptomatic heart failure participating in the Gruppo Italiano per lo Studio della Sopravvivenza nell'Insufficienza Cardiaca - Heart Failure (GISSI-HF) biohumoral sub-study.

RESULTS

Plasma levels of LIPCAR were significantly associated with functional impairment as assessed by the New York Heart Association (NYHA) class, kidney function as reflected by estimated glomerular filtration rate, and creatinine, hemoglobin and mitral insufficiency. In females, these associations were more marked as compared to males. LIPCAR plasma levels were significantly related to the two cardiac markers, N-terminal pro-B type natriuretic peptide and high-sensitivity cardiac troponin T, but not to inflammatory markers such as high sensitivity C-reactive protein and pentraxin-3, nor to patient reported outcomes such as depression and quality of life. HF patients with high LIPCAR levels univariately showed significantly higher incidence of cardiovascular hospitalizations but not of death; after adjusting for covariates, no significant effects of LIPCAR were found for cardiovascular hospitalizations.

CONCLUSION

The circulating long noncoding RNA LIPCAR was increased in HF patients with higher NYHA class, impaired kidney function, and lower hemoglobin, which are indicators of patients' overall state.

Uterine rupture and long-term cardiovascular hospitalization of the offspring

BACKGROUND

Uterine rupture is associated with severely adverse maternal and neonatal outcomes. The association between uterine rupture and long-term cardiovascular hospitalization of the offspring has not been investigated yet.

METHODS

In a population-based cohort study, the incidence of cardiovascular related hospitalizations was compared between singletons born to mothers with and without uterine rupture in the current pregnancy. Cardiovascular hospitalization up to the age of 18 years was assessed according to a predefined set of ICD-9 codes associated with offspring hospitalization. Multiple gestations, perinatal deaths, lacking prenatal care, and children with congenital malformations or chromosomal abnormalities were excluded from the study. A Kaplan-Meier survival curve was used to assess cumulative incidence of cardiovascular hospitalization of the offspring. A Cox proportional hazards model was performed to control for confounders.

RESULTS

During the study period, 238,622 newborns met the inclusion criteria, of which 0.053% (n = 127) were born to mothers with uterine rupture in the current pregnancy. Children born to mothers with uterine rupture had significantly higher rates of cardiovascular related hospitalization (Kaplan-Meier's survival curve log-rank test, p=.005).

CONCLUSION

Being born following uterine rupture is an independent risk factor for long-term pediatric cardiovascular hospitalization. Highlights Uterine rupture is a risk factor for long-term pediatric cardiovascular related hospitalization. Rising rate of CS potentially associate to long-term offspring cardiovascular disease. Cardiovascular surveillance is needed for newborns delivered after uterine rupture.

Increased cardiovascular death rates in a COVID-19 low prevalence area

The province of L'Aquila (Central Italy) was marginally affected by COVID‐19 pandemic, but changes in health care seeking behaviors were noticed. The authors retrospectively analyzed de‐identified data concerning all‐cause and cardiovascular hospitalizations, cardiovascular acute phase treatments, and in‐hospital cardiovascular deaths in the province of L'Aquila from January 1 to March 31, in 2020 and 2019. Incidence rate ratios (IRR) comparing 2020 and 2019 for admissions/procedures were calculated through Poisson regression. All‐cause and cardiovascular mortality in the examined time windows was also assessed. Less all‐cause (IRR 0.85, P < .001) and cardiovascular (IRR 0.73, P < .001) hospitalizations occurred in 2020 than in 2019. Less daily cardiovascular procedures were also performed (IRR: 0.74, P = .009). A disproportionate decrease in the number of procedures was observed in relation to cardiovascular hospitalizations in 2020 (−5.5%, P = .001). Unlike all‐cause mortality, more in‐hospital cardiovascular deaths occurred in March 2020 compared with March 2019 (+6.8%, P = .048).

Vitality Measured as Self-reported Energy Level and Clinical Outcomes in Hemodialysis Patients: The Japanese Dialysis Outcomes and Practice Pattern Study (J-DOPPS)

RATIONALE & OBJECTIVE

The infrequent assessment of vitality in clinical practice may be partially due to an inadequate understanding of vitality and the lack of a concise method of assessing it. This study aimed to examine the association of a simple 1-item "vitality" question measuring self-reported energy level with clinical outcomes.

STUDY DESIGN

Prospective cohort study.

SETTING & PARTICIPANTS

3,667 hemodialysis patients participating in the Japanese Dialysis Outcomes and Practice Pattern Study (J-DOPPS), phases 3 to 4 (2005-2011).

PREDICTOR

Responses to a single question from the 12-item Medical Outcomes Study Short Form survey, version 2.0: "How much time during the past 4 weeks did you have a lot of energy?," recorded using a 5-level Likert scale.

OUTCOMES

All-cause mortality and a composite of cardiovascular hospitalizations and all-cause mortality.

ANALYTICAL APPROACH

A pooled ordered logit model was fit to examine correlates of self-reported energy level. Cox and mixed-effects negative binomial regression models were fit for mortality and the composite outcome.

RESULTS

Lower self-reported energy level was associated with tachycardia and use of benzodiazepines, hypnotics, and antidepressants. In contrast, higher energy was associated with higher single-pool Kt/V, serum albumin concentration, and body mass index. Compared to the lowest energy level, the second-highest and middle levels were associated with lower all-cause mortality (adjusted HRs [aHRs] of 0.66 [95% CI, 0.47-0.93] and 0.75 [95% CI, 0.59-0.96], respectively). Each 1-level higher self-reported energy was associated with lower mortality (aHR, 0.86; 95% CI, 0.78-0.96). Associations between self-reported energy level and multiple cardiovascular hospitalizations and mortality were similar to those between self-reported energy and mortality.

LIMITATIONS

No psychometric assessments were done for the Short Form survey.

CONCLUSIONS

The response to a single "vitality" question addressing self-reported energy level is associated with adverse clinical outcomes and correlated with potentially modifiable factors.

A common data model to assess cardiovascular hospitalization and mortality in atrial fibrillation patients using administrative claims and medical records

Purpose

Atrial fibrillation/flutter (AF) is frequently associated with cardiovascular comorbidities. Observational health care databases are commonly used for research purposes in studies of quality of care, health economics, outcomes research, drug safety, and epidemiology. This retrospective cohort study applied a common data model to administrative claims data (Truven Health Analytics MarketScan^® claims databases [MS-Claims]) and electronic medical records data (Geisinger Health System’s MedMining electronic medical record database [MG-EMR]) to examine the risk of cardiovascular hospitalization and all-cause mortality in relation to clinical risk factors in recent-onset AF and to assess the consistency of analyses for each data source.

Methods

Cohorts of patients with newly diagnosed AF (n=105,262 [MS-Claims] and n=3,919 [MG-EMR]) and demographically similar patients without AF (n=105,262 [MS-Claims] and n=3,872 [MG-EMR]) were followed from the qualifying AF diagnosis until cardiovascular hospitalization, death, database disenrollment, or study completion. A common data model standardized the data in structure, format, content, and nomenclature to allow for systematic assessment and comparison of outcomes from two disparate data sets.

Results

In both databases, AF patients had greater overall baseline comorbidity and higher incidence rates of cardiovascular hospitalization (threefold higher) and all-cause mortality (46% higher) than non-AF patients. For AF patients, incidence rates of cardiovascular hospitalization and all-cause mortality were increased by the concomitant presence of coronary disease, chronic obstructive pulmonary disease, and stroke at baseline. Overall, the pattern of cardiovascular hospitalization in the MS-Claims database was similar to that in the MG-EMR database. Compared with the MS-Claims database, the use of cardiovascular medications and the capture of certain comorbidities among AF patients appeared to be higher in the MG-EMR data set.

Conclusion

Similar standardized analyses across EMR and Claims databases were consistent in the association of AF with acute morbidity and an increased risk of all-cause mortality. Areas of inconsistency were due to differences in underlying population demographics and cardiovascular risks and completeness of certain data fields.