Characteristics and in-hospital mortality of elderly patients with heart failure in Spanish hospitals.

BACKGROUND: The prevalence of heart failure (HF) increases with age, and it is one of the leading causes of hospitalization and death in older patients. However, there are little data on in-hospital mortality in patients with HF ≥ 75 years in Spain. METHODS: A retrospective analysis of the Spanish Minimum Basic Data Set was performed, including all HF episodes discharged from public hospitals in Spain between 2016 and 2019. Coding was performed using the International Classification of Diseases, 10th Revision. Patients ≥ 75 years with HF as the principal diagnosis were selected. We calculated: (1) the crude in-hospital mortality rate and its distribution according to age and sex; (2) the risk-standardized in-hospital mortality ratio; and (3) the association between in-hospital mortality and the availability of an intensive cardiac care unit (ICCU) in the hospital. RESULTS: We included 354,792 HF episodes of patients over 75 years. The mean age was 85.2 ± 5.5 years, and 59.2% of patients were women. The most frequent comorbidities were renal failure (46.1%), diabetes mellitus (35.5%), valvular disease (33.9%), cardiorespiratory failure (29.8%), and hypertension (26.9%). In-hospital mortality was 12.7%, and increased with age [odds ratio (OR) = 1.07, 95% CI: 1.07-1.07, P < 0.001] and was lower in women (OR = 0.96, 95% CI: 0.92-0.97, P < 0.001). The main predictors of mortality were the presence of cardiogenic shock (OR = 19.5, 95% CI: 16.8-22.7, P < 0.001), stroke (OR = 3.5, 95% CI: 3.0-4.0, P < 0.001) and advanced cancer (OR = 2.6, 95% CI: 2.5-2.8, P < 0.001). In hospitals with ICCU, the in-hospital risk-adjusted mortality tended to be lower (OR = 0.85, 95% CI: 0.72-1.00, P = 0.053). CONCLUSIONS: In-hospital mortality in patients with HF ≥ 75 years between 2016 and 2019 was 12.7%, higher in males and elderly patients. The main predictors of mortality were cardiogenic shock, stroke, and advanced cancer. There was a trend toward lower mortality in centers with an ICCU.

Impact of shock aetiology and hospital characteristics on the clinical profile, management and prognosis of patients with non ACS-related cardiogenic shock.

BACKGROUND: A significant proportion of cases of cardiogenic shock (CS) are due aetiologies other than acute coronary syndromes (non ACS-CS). We assessed differences regarding clinical profile, management, and prognosis according to the cause of CS among nonselected patients with CS from a large nationwide database. METHODS: We performed an observational study including patients admitted from the hospitals of the Spanish National Health System (SNHS) with a principal or secondary diagnosis code of CS (2016-2019). Data were obtained from the Minimum Basic Data Set (MBDS). Hospitals were classified according to the availability of cardiology related resources, as well as the availability of Intensive Cardiac Care Unit (ICCU). RESULTS: A total of 10,826 episodes of CS were included, of whom 5,495 (50.8%) were non-ACS related. Non ACS-CS patients were younger (71.5 vs. 72.4 years) and had a lower burden of arteriosclerosis-related comorbidities. Non ACS-CS cases underwent less often invasive procedures and presented lower in-hospital mortality (57.1% vs. 61%,p < 0.001). The most common main diagnosis among non ACS-CS was acute decompensation of chronic heart failure (ADCHF) (35.4%). A lower risk-adjusted in-hospital mortality rate was observed in high volume hospitals (52.6% vs. 56.7%; p < 0.001), as well as in centers with ICCU (OR: 0.71; CI 95%: 0.58-0.87; p < 0.001). CONCLUSIONS: More than a half of cases of CS were due to non-ACS causes. Non ACS-CS cases are a very heterogeneous group, with different clinical profile and management. Management at high-volume hospitals and availability of ICCU were associated with lower risk adjusted mortality among non ACS-CS patients.

Walnut Allergy Across Europe: Distribution of Allergen Sensitization Patterns and Prediction of Severity.

BACKGROUND: Walnut allergy is common across the globe, but data on the involvement of individual walnut components are scarce. OBJECTIVES: To identify geographical differences in walnut component sensitization across Europe, explore cosensitization and cross-reactivity, and assess associations of clinical and serological determinants with severity of walnut allergy. METHODS: As part of the EuroPrevall outpatient surveys in 12 European cities, standardized clinical evaluation was conducted in 531 individuals reporting symptoms to walnut, with sensitization to all known walnut components assessed in 202 subjects. Multivariable Lasso regression was applied to investigate predictors for walnut allergy severity. RESULTS: Birch-pollen-related walnut sensitization (Jug r 5) dominated in Northern and Central Europe and lipid transfer protein sensitization (Jug r 3) in Southern Europe. Profilin sensitization (Jug r 7) was prominent throughout Europe. Sensitization to storage proteins (Jug r 1, 2, 4, and 6) was detected in up to 10% of subjects. The walnut components that showed strong correlations with pollen and other foods differed between centers. The combination of determinants best predicting walnut allergy severity were symptoms upon skin contact with walnut, atopic dermatitis (ever), family history of atopic disease, mugwort pollen allergy, sensitization to cat or dog, positive skin prick test result to walnut, and IgE to Jug r 1, 5, 7, or carbohydrate determinants (area under the curve = 0.81; 95% CI, 0.73-0.89). CONCLUSIONS: Walnut-allergic subjects across Europe show clear geographical differences in walnut component sensitization and cosensitization patterns. A predictive model combining results from component-based serology testing with results from extract-based testing and information on clinical background allows for good discrimination between mild to moderate and severe walnut allergy.