COVID-19 severely impacted older adults and long-term care facility (LTCF) residents. Our primary aim was to describe differences in clinical and epidemiological variables, in-hospital management, ...and outcomes between LTCF residents and community-dwelling older adults hospitalized with COVID-19. The secondary aim was to identify risk factors for mortality due to COVID-19 in hospitalized LTCF residents.
This is a cross-sectional analysis within a retrospective cohort of hospitalized patients ≥75 years with confirmed COVID-19 admitted to 160 Spanish hospitals. Differences between groups and factors associated with mortality among LTCF residents were assessed through comparisons and logistic regression analysis.
Of 6 189 patients ≥75 years, 1 185 (19.1%) were LTCF residents and 4 548 (73.5%) were community-dwelling. LTCF residents were older (median: 87.4 vs 82.1 years), mostly female (61.6% vs 43.2%), had more severe functional dependence (47.0% vs 7.8%), more comorbidities (Charlson Comorbidity Index: 6 vs 5), had dementia more often (59.1% vs 14.4%), and had shorter duration of symptoms (median: 3 vs 6 days) than community-dwelling patients (all, p < .001). Mortality risk factors in LTCF residents were severe functional dependence (adjusted odds ratios aOR: 1.79; 95% confidence interval CI: 1.13-2.83; p = .012), dyspnea (1.66; 1.16-2.39; p = .004), SatO2 < 94% (1.73; 1.27-2.37; p = .001), temperature ≥ 37.8°C (1.62; 1.11-2.38; p = .013); qSOFA index ≥ 2 (1.62; 1.11-2.38; p = .013), bilateral infiltrates (1.98; 1.24-2.98; p < .001), and high C-reactive protein (1.005; 1.003-1.007; p < .001). In-hospital mortality was initially higher among LTCF residents (43.3% vs 39.7%), but lower after adjusting for sex, age, functional dependence, and comorbidities (aOR: 0.74, 95%CI: 0.62-0.87; p < .001).
Basal functional status and COVID-19 severity are risk factors of mortality in LTCF residents. The lower adjusted mortality rate in LTCF residents may be explained by earlier identification, treatment, and hospitalization for COVID-19.
To improve the knowledge on characteristics, treatment and prognosis in patients with heart failure (HF) and mid-range ejection fraction discharged after an acute HF episode.
We prospectively ...included and followed 2753 patients admitted with HF to Internal Medicine units. Patients were classified according to ejection fraction (EF) into three strata: reduced, EF <40% (HFrEF); mid-range EF 40–49% (HFmrEF); and preserved EF ≥50% (HFpEF). Clinical, echocardiographic, laboratory data and treatment at discharge were recorded and the groups were compared. A multivariable analysis was performed to evaluate the association of EF with outcomes in these three groups.
A total of 10.2% of patients had HFmrEF. They were more likely to be men and to have a history of chronic kidney disease and higher levels of NT-proBNP than those with HFpEF. Compared to patients with HFrEF, these patients had less frequently ischaemic aetiology and chronic obstructive pulmonary disease, and a higher proportion of atrial fibrillation and hypertension. In HFmrEF, the use of beta-blockers, aldosterone antagonists and antiplatelet drugs was lower than in HFrEF, but the use of calcium channel blockers and anticoagulants was higher. There were no differences between groups in 30-day and 1-year readmission rates. However, patients with HFrEF had significantly higher 1-year mortality (28%) than patients with HFmrEF and HFpEF (20% and 22%, p<0.001).
Clinical characteristics and treatment among patients with HF differ depending on EF strata. Prognosis of patients with HFmrEF is closer to that of HFpEF, being medium term survival better than in HFrEF.
There are few data in the Spanish population about the causes of death in patients admitted to internal medicine departments for heart failure. Their study according to left ventricular ejection ...fraction (reduced: rEF, mid-range: mEF, and preserved: pEF) could improve the knowledge of patients and their prognosis.
Prospective multicentre cohort study of 4144 patients admitted with heart failure to internal medicine departments. Their clinical characteristics, mortality rate and causes were classified according to pEF (≥ 50%), mEF (40%-49%) and rEF (<40%). Patients were followed-up for a median of one year.
There were 1198 deaths (29%). The cause of death was cardiovascular (CV) in 833 patients (69.5%), mainly heart failure (50%) and sudden cardiac death (7.5%). Non-cardiovascular (NoCV) causes were responsible for 365 deaths (30.5%). The most common NoCV causes were infections (13%). The most frequent and early cause in all groups was heart failure. Patients with pEF, compared to the other groups, had lower risk of sudden cardiac death and higher risk of infections (P <.05). The causes of death in patients with mrEF were closer to those with pEF.
The causes of death in patients with heart failure were different depending on ejection fraction strata. Patients with mEF and pEF, due to their high comorbidity and higher frequency of NoCV death, would require comprehensive management by internal medicine.
Heart failure (HF) and cancer are currently the leading causes of death worldwide, with an increasing incidence with age. Little is known about the treatment received and the prognosis of patients ...with acute HF and a prior cancer diagnosis.
to determine the clinical characteristics, palliative treatment received, and prognostic impact of patients with acute HF and a history of solid tumor.
The EPICTER study ("Epidemiological survey of advanced heart failure") is a cross-sectional, multicenter project that consecutively collected patients admitted for acute HF in 74 Spanish hospitals. Patients were classified into two groups according to whether they met criteria for acute HF with and without solid cancer, and the groups were subsequently compared. A multivariable logistic regression analysis was conducted, using the forward stepwise method. A Kaplan-Meier survival analysis was performed to evaluate the impact of solid tumor on prognosis in patients with acute HF.
A total of 3127 patients were included, of which 394 patients (13%) had a prior diagnosis of some type of solid cancer. Patients with a history of cancer presented a greater frequency of weight loss at admission: 18% vs. 12% (
= 0.030). In the cancer group, functional impairment was noted more frequently: 43% vs. 35%,
= 0.039). Patients with a history of solid cancer more frequently presented with acute HF with preserved ejection fraction (65% vs. 58%,
= 0.048) than reduced or mildly reduced. In-hospital and 6-month follow-up mortality was 31% (110/357) in patients with solid cancer vs. 26% (637/2466),
= 0.046.
Our investigation demonstrates that in-hospital mortality and mortality during 6-month follow-up in patients with acute HF were higher in those subjects with a history of concomitant solid tumor cancer diagnosis.
Smoking can play a key role in SARS-CoV-2 infection and in the course of the disease. Previous studies have conflicting or inconclusive results on the prevalence of smoking and the severity of the ...coronavirus disease (COVID-19).
Observational, multicenter, retrospective cohort study of 14,260 patients admitted for COVID-19 in Spanish hospitals between February and September 2020. Their clinical characteristics were recorded and the patients were classified into a smoking group (active or former smokers) or a non-smoking group (never smokers). The patients were followed up to one month after discharge. Differences between groups were analyzed. A multivariate logistic regression and Kapplan Meier curves analyzed the relationship between smoking and in-hospital mortality.
The median age was 68.6 (55.8-79.1) years, with 57.7% of males. Smoking patients were older (69.9 59.6-78.0 years), more frequently male (80.3%) and with higher Charlson index (4 2-6) than non-smoking patients. Smoking patients presented a worse evolution, with a higher rate of admission to the intensive care unit (ICU) (10.4 vs 8.1%), higher in-hospital mortality (22.5 vs. 16.4%) and readmission at one month (5.8 vs. 4.0%) than in non-smoking patients. After multivariate analysis, smoking remained associated with these events.
Active or past smoking is an independent predictor of poor prognosis in patients with COVID-19. It is associated with higher ICU admissions and in-hospital mortality.
It is unclear to which extent the higher mortality associated with hypertension in the coronavirus disease (COVID-19) is due to its increased prevalence among older patients or to specific ...mechanisms. Cross-sectional, observational, retrospective multicenter study, analyzing 12226 patients who required hospital admission in 150 Spanish centers included in the nationwide SEMI-COVID-19 Network. We compared the clinical characteristics of survivors versus non-survivors. The mean age of the study population was 67.5 ± 16.1 years, 42.6% were women. Overall, 2630 (21.5%) subjects died. The most common comorbidity was hypertension (50.9%) followed by diabetes (19.1%), and atrial fibrillation (11.2%). Multivariate analysis showed that after adjusting for gender (males, OR: 1.5, p = 0.0001), age tertiles (second and third tertiles, OR: 2.0 and 4.7, p = 0.0001), and Charlson Comorbidity Index scores (second and third tertiles, OR: 4.7 and 8.1, p = 0.0001), hypertension was significantly predictive of all-cause mortality when this comorbidity was treated with angiotensin-converting enzyme inhibitors (ACEIs) (OR: 1.6, p = 0.002) or other than renin-angiotensin-aldosterone blockers (OR: 1.3, p = 0.001) or angiotensin II receptor blockers (ARBs) (OR: 1.2, p = 0.035). The preexisting condition of hypertension had an independent prognostic value for all-cause mortality in patients with COVID-19 who required hospitalization. ARBs showed a lower risk of lethality in hypertensive patients than other antihypertensive drugs.
The impact of statins on COVID-19 outcomes is important given the high prevalence of their use among individuals at risk for severe COVID-19. Our aim is to assess whether patients receiving chronic ...statin treatment who are hospitalized with COVID-19 have reduced in-hospital mortality if statin therapy is maintained during hospitalization.
This work is a cross-sectional, observational, retrospective multicenter study that analyzed 2921 patients who required hospital admission at 150 Spanish centers included in the nationwide SEMI-COVID-19 Network. We compared the clinical characteristics and COVID-19 disease outcomes between patients receiving chronic statin therapy who maintained this therapy during hospitalization versus those who did not. Propensity score matching was used to match each statin user whose therapy was maintained during hospitalization to a statin user whose therapy was withdrawn during hospitalization.
After propensity score matching, continuation of statin therapy was associated with lower all-cause mortality (OR 0.67, 0.54-0.83, p < 0.001); lower incidence of acute kidney injury (AKI) (OR 0.76,0.6-0.97, p = 0.025), acute respiratory distress syndrome (ARDS) (OR 0.78, 0.69- 0.89, p < 0.001), and sepsis (4.82% vs 9.85%, p = 0.008); and less need for invasive mechanical ventilation (IMV) (5.35% vs 8.57, p < 0.001) compared to patients whose statin therapy was withdrawn during hospitalization.
Patients previously treated with statins who are hospitalized for COVID-19 and maintain statin therapy during hospitalization have a lower mortality rate than those in whom therapy is withdrawn. In addition, statin therapy was associated with a decreased probability that patients with COVID-19 will develop AKI, ARDS, or sepsis and decreases the need for IMV.
To determine whether healthcare workers (HCW) hospitalized in Spain due to COVID-19 have a worse prognosis than non-healthcare workers (NHCW).
Observational cohort study based on the SEMI-COVID-19 ...Registry, a nationwide registry that collects sociodemographic, clinical, laboratory, and treatment data on patients hospitalised with COVID-19 in Spain. Patients aged 20-65 years were selected. A multivariate logistic regression model was performed to identify factors associated with mortality.
As of 22 May 2020, 4393 patients were included, of whom 419 (9.5%) were HCW. Median (interquartile range) age of HCW was 52 (15) years and 62.4% were women. Prevalence of comorbidities and severe radiological findings upon admission were less frequent in HCW. There were no difference in need of respiratory support and admission to intensive care unit, but occurrence of sepsis and in-hospital mortality was lower in HCW (1.7% vs. 3.9%; p = 0.024 and 0.7% vs. 4.8%; p<0.001 respectively). Age, male sex and comorbidity, were independently associated with higher in-hospital mortality and healthcare working with lower mortality (OR 0.211, 95%CI 0.067-0.667, p = 0.008). 30-days survival was higher in HCW (0.968 vs. 0.851 p<0.001).
Hospitalized COVID-19 HCW had fewer comorbidities and a better prognosis than NHCW. Our results suggest that professional exposure to COVID-19 in HCW does not carry more clinical severity nor mortality.
Abstract
In 2020, the COVID-19 pandemic followed a two-wave pattern in most countries. Hospital admission for COVID-19 in one wave or another could have affected mortality, especially among the older ...persons. The objective of this study was to evaluate whether the admission of older patients during the different waves, before SARS-CoV-2 vaccination was available, was associated with a different mortality. We compared the mortality rates of patients hospitalized during 2020 before (first wave) and after (second wave) July 7, 2020, included in the SEMI-COVID-19 Registry, a large, multicenter, retrospective cohort of patients admitted to 126 Spanish hospitals for COVID-19. A multivariate logistic regression analysis was performed to control for changes in either the patient or disease profile. As of December 26, 2022, 22,494 patients had been included (17,784 from the first wave and 4710 from the second one). Overall mortality was 20.4% in the first wave and 17.2% in the second wave (risk difference (RD) − 3.2%; 95% confidence interval (95% CI) − 4.4 to − 2.0). Only patients aged 70 and older (10,973 patients: 8571 in the first wave and 2386 in the second wave) had a significant reduction in mortality (RD − 7.6%; 95% CI − 9.7 to − 5.5) (unadjusted relative risk reduction: 21.6%). After adjusting for age, comorbidities, variables related to the severity of the disease, and treatment received, admission during the second wave remained a protective factor. In Spain, patients aged 70 years and older admitted during the second wave of the COVID-19 pandemic had a significantly lower risk of mortality, except in severely dependent persons in need of corticosteroid treatment. This effect is independent of patient characteristics, disease severity, or treatment received. This suggests a protective effect of a better standard of care, greater clinical expertise, or a lesser degree of healthcare system overload.
Acetylsalicylic acid (ASA) is widely used in the treatment and prevention of cardiovascular disorders. Our objective is to evaluate its possible protective role, not only in mortality but also in ...other aspects such as inflammation, symptomatic thrombosis, and intensive care unit (ICU) admission in hospitalized COVID-19 patients. We realized an observational retrospective cohort study of 20,641 patients with COVID-19 pneumonia collected and followed-up from Mar 1st, 2020 to May 1st, 2021, from the nationwide Spanish SEMI-COVID-19 Registry. Propensity score matching (PSM) was performed to determine whether treatment with ASA affected outcomes in COVID-19 patients. On hospital admission, 3291 (15.9%) patients were receiving ASA. After PSM, 3291 patients exposed to ASA and 2885 not-exposed patients were analyzed. In-hospital mortality was higher in the ASA group (30.4 vs. 16.9%,
p
< 0.001) in the global sample. After PSM, no differences were found between groups (30.4 vs. 30.3%,
p
= 0.938). There were no differences in inflammation, symptomatic thrombosis, or ICU admission. In conclusion, ASA intake is not associated with in-hospital mortality or any other health outcome evaluated after applying PSM analysis in a real-world large sample of hospitalized COVID-19 patients.
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