Objectives
Chest CT has been widely used to screen and to evaluate the severity of COVID-19 disease in the early stages of infection without severe acute respiratory syndrome, but no prospective data ...are available to study the relationship between extent of lung damage and short-term mortality. The objective was to evaluate association between standardized simple visual lung damage CT score (vldCTs) at admission, which does not require any software, and 30-day mortality.
Methods
In a single-center prospective cohort of COVID-19 patients included during 4 weeks, the presence and extent of ground glass opacities(GGO), consolidation opacities, or both of them were visually assessed in each of the 5 lung lobes (score from 0 to 4 per lobe depending on the percentage and out of 20 per patient = vldCTs) after the first chest CT performed to detect COVID-19 pneumonia.
Results
Among 210 confirmed COVID-19 patients, the number of survivors and non-survivors was 162 (77%) and 48 (23%), respectively at 30 days. vldCTs was significantly higher in non-survivors, and the AUC of vldCTs to distinguish survivors and non-survivors was 0.72 (95%CI 0.628–0.807,
p
< 0.001); the best cut-off vldCTs value was 7. During follow-up, significant differences in discharges and 30-day mortality were observed between patients with vldCTs ≥ 7 versus vldCTs < 7: (98 85.2% vs 49 51.6%;
p
< 0.001 and 36 37.9% vs 12 12.4%;
p
< 0.001, respectively. The 30-day mortality increased if vldCTs ≥ 7 (HR, 3.16 (1.50–6.43);
p
= 0.001), independent of age, respiratory rate and oxygen saturation levels, and comorbidities at admission.
Conclusions
By using chest CT in COVID-19 patients, extensive lung damage can be visually assessed with a score related to 30-day mortality independent of conventional risk factors of the disease.
Key Points
• In non-selected COVID-19 patients included prospectively during 4 weeks, the extent of ground glass opacities(GGO) and consolidation opacities evaluated by a simple visual score was related to 30-day mortality independent of age, respiratory rate, oxygen saturation levels, comorbidities, and hs-troponin I level at admission.
• This severity score should be incorporated into risk stratification algorithms and in structured chest CT reports requiring a standardized reading by radiologists in case of COVID-19.
Aims
Myocardial injury is frequently observed in patients hospitalized with coronavirus disease 2019 (COVID‐19) pneumonia. Different cardiac abnormalities have been reported during the acute COVID‐19 ...phase, ranging from infra‐clinic elevations of myocardial necrosis biomarkers to acute cardiac dysfunction and myocarditis. There is limited information on late cardiac sequelae in patients who have recovered from acute COVID‐19 illness. We aimed to document the presence and quantify the extent of myocardial functional alterations in patients hospitalized 6 months earlier for COVID‐19 infection.
Methods and results
We conducted a prospective echocardiographic evaluation of 48 patients (mean age 58 ± 13 years, 69% male) hospitalized 6 ± 1 month earlier for a laboratory‐confirmed and symptomatic COVID‐19. Thirty‐two (66.6%) had pre‐existing cardiovascular risks factors (systemic hypertension, diabetes, or dyslipidaemia), and three patients (6.2%) had a known prior myocardial infarction. Sixteen patients (33.3%) experienced myocardial injury during the index COVID‐19 hospitalization as identified by a rise in cardiac troponin levels. Six months later, 60.4% of patients still reported clinical symptoms including exercise dyspnoea for 56%. Echocardiographic measurements under resting conditions were not different between patients with versus without myocardial injury during the acute COVID‐19 phase. In contrast, low‐level exercise (25W for 3 min) induced a significant increase in the average E/e′ ratio (10.1 ± 4.3 vs. 7.3 ± 11.5, P = 0.01) and the systolic pulmonary artery pressure (33.4 ± 7.8 vs. 25.6 ± 5.3 mmHg, P = 0.02) in patients with myocardial injury during the acute COVID‐19 phase. Sensitivity analyses showed that these alterations of left ventricular diastolic markers were observed regardless of whether of cardiovascular risk factors or established cardiac diseases indicating SARS‐CoV‐2 infection as a primary cause.
Conclusions
Six months after the acute COVID‐19 phase, significant cardiac diastolic abnormalities are observed in patients who experienced myocardial injury but not in patients without cardiac involvement.
Heart failure (HF) is difficult to diagnose in obese patients because of cardiovascular and pulmonary comorbidities associated with physical deconditioning, all of which lead to dyspnea.
The OLECOEUR ...study is a prospective screening for HF using systematic brain natriuretic peptide (BNP) measurement in ambulatory patients with obesity from a department of Nutrition (Paris, France). Clinical, biological, and echocardiographic data were extracted from electronic medical records.
We included 1,506 patients middle-aged (mean age: 47.2 ± 14.6 years old) with severe obesity (mean body mass index: 40.4 ± 6.6 kg/m2). Patients with BNP ≥35 pg/mL had left heart remodeling including thicker interventricular septum (10.4 ± 2.0 vs. 9.6 ± 1.8 mm; p = 0.0008), higher left ventricular mass (89.9 ± 24.3 vs. 77.2 ± 20.0 g/m2; p = 0.0009), and significant changes in both left and right atria consistent with a higher proportion of prior atrial fibrillation. Markers of right heart remodeling on echocardiography were also significantly higher (pulmonary artery systolic pressure: 33.3 ± 17.3 vs. 24.5 ± 6.3 mm Hg; p = 0.0002).
The OLECOEUR study shows left and right subclinical cardiac remodeling in obese patients screened for HF with systematic dosing of BNP with usual cut-off of 35 pg/mL.
Objective The long-term impact of type 2 diabetes mellitus (T2DM) after an acute myocardial infarction (AMI) has not been thoroughly investigated yet. This study aimed to assess the long-term impact ...of T2DM after AMI. Research design and methods We analyzed the data of three nationwide observational studies from the French Registry of Acute ST-elevation and non-ST-elevation Myocardial Infarction (FAST-MI) program, conducted over a 1-month period in 2005, 2010, and 2015. Patients presenting T2DM were classified as diabetic, and patients presenting type 1 diabetes mellitus were excluded. We identified factors related to all-cause death at 1-year follow-up and divided 1,897 subjects into two groups, paired based on their estimated 1-year probability of death as determined by a logistic regression model. Results A total of 9,181 AMI patients were included in the analysis, among them 2,038 (22.2%) had T2DM. Patients with diabetes were significantly older (68.2 ± 12.0 vs. 63.8 ± 14.4, p < 0.001) and had a higher prevalence of a prior history of percutaneous coronary intervention (PCI), coronary artery bypass grafting (CABG), or heart failure (22.5% vs. 13.0%, 7.1% vs. 3.1% and 6.7 vs. 3.8% respectively, p < 0.001 for all). Even after matching two groups of 1,897 patients based on propensity score for their 1-year probability of death, diabetes remained associated with long-term mortality, with an HR of 1.30, 95%CI (1.17–1.45), p < 0.001. Conclusions T2DM per se has an adverse impact on long-term survival after myocardial infarction. Independently of the risk of short-term mortality, patients with diabetes who survived an AMI have a 30% higher risk of long-term mortality.
SARS-CoV-2 infection leads to a highly variable clinical evolution, ranging from asymptomatic to severe disease with acute respiratory distress syndrome, requiring intensive care units (ICU) ...admission. The optimal management of hospitalized patients has become a worldwide concern and identification of immune biomarkers predictive of the clinical outcome for hospitalized patients remains a major challenge. Immunophenotyping and transcriptomic analysis of hospitalized COVID-19 patients at admission allow identifying the two categories of patients. Inflammation, high neutrophil activation, dysfunctional monocytic response and a strongly impaired adaptive immune response was observed in patients who will experience the more severe form of the disease. This observation was validated in an independent cohort of patients. Using
in silico
analysis on drug signature database, we identify differential therapeutics that specifically correspond to each group of patients. From this signature, we propose a score—the SARS-Score—composed of easily quantifiable biomarkers, to classify hospitalized patients upon arrival to adapt treatment according to their immune profile.
High blood pressure is the number one killer in the world. About 1.5 billion people suffered from hypertension in 2010, and these numbers are increasing year by year. The basics of the management of ...high blood pressure are described in the Canadian, American, International and European guidelines for hypertension. However, there are similarities and differences in the definition, measurement and management of blood pressure between these different guidelines. According to the Canadian guidelines, normal blood pressure is less than 140/90 mmHg (systolic blood pressure/diastolic blood pressure). The AHA and ESC estimate normal blood pressure to be less than 120/80 mmHg (systolic blood pressure/diastolic blood pressure). Regarding treatments, the AHA, ISH and ESC are also in agreement about dual therapy as the first-line therapy, while Canadian recommendations retain the idea of monotherapy as the initiation of treatment. When it comes to measuring blood pressure, the four entities agree on the stratification of intervention in absolute cardiovascular risk.
Background
Atrial fibrillation affects approximately 4% of the world’s population and is one of the major causes of stroke, heart failure, sudden death, and cardiovascular morbidity. It can be ...difficult to diagnose when asymptomatic or in the paroxysmal stage, and its natural history is not well understood. New wearables and connected devices offer an opportunity to improve on this situation.
Objective
We aimed to validate an algorithm for the automatic detection of atrial fibrillation from a single-lead electrocardiogram taken with a smartwatch.
Methods
Eligible patients were recruited from 4 sites in Paris, France. Electrocardiograms (12-lead reference and single lead) were captured simultaneously. The electrocardiograms were reviewed by independent, blinded board-certified cardiologists. The sensitivity and specificity of the algorithm to detect atrial fibrillation and normal sinus rhythm were calculated. The quality of single-lead electrocardiograms (visibility and polarity of waves, interval durations, heart rate) was assessed in comparison with the gold standard (12-lead electrocardiogram).
Results
A total of 262 patients (atrial fibrillation: n=100, age: mean 74.3 years, SD 12.3; normal sinus rhythm: n=113, age: 61.8 years, SD 14.3; other arrhythmia: n=45, 66.9 years, SD 15.2; unreadable electrocardiograms: n=4) were included in the final analysis; 6.9% (18/262) were classified as Noise by the algorithm. Excluding other arrhythmias and Noise, the sensitivity for atrial fibrillation detection was 0.963 (95% CI lower bound 0.894), and the specificity was 1.000 (95% CI lower bound 0.967). Visibility and polarity accuracies were similar (1-lead electrocardiogram: P waves: 96.9%, QRS complexes: 99.2%, T waves: 91.2%; 12-lead electrocardiogram: P waves: 100%, QRS complexes: 98.8%, T waves: 99.5%). P-wave visibility accuracy was 99% (99/100) for patients with atrial fibrillation and 95.7% (155/162) for patients with normal sinus rhythm, other arrhythmias, and unreadable electrocardiograms. The absolute values of the mean differences in PR duration and QRS width were <3 ms, and more than 97% were <40 ms. The mean difference between the heart rates from the 1-lead electrocardiogram calculated by the algorithm and those calculated by cardiologists was 0.55 bpm.
Conclusions
The algorithm demonstrated great diagnostic performance for atrial fibrillation detection. The smartwatch’s single-lead electrocardiogram also demonstrated good quality for physician use in daily routine care.
Trial Registration
ClinicalTrials.gov NCT04351386; http://clinicaltrials.gov/ct2/show/NCT04351386
Aims
Hypertension is a major contributor to cardiac diastolic dysfunction. Different therapeutics strategies have been proposed to control blood pressure (BP), but their independent impact on cardiac ...function remains undetermined. In patients with resistant hypertension, we compared the changes in cardiac parameters between two strategies based on sequential nephron blockade (NBD) with a combination of diuretics or sequential renin‐angiotensin system blockade (RASB).
Methods and results
After a 4‐week period where all patients received Irbesartan 300 mg/day + hydrochlorothiazide 12.5 mg/day + amlodipine 5 mg/day, 140 resistant hypertension patients (54.8 ± 11.1 years, 76% men, mean duration with hypertension: 13.1 ± 10.5 years, no previous history of heart failure or current symptoms of congestive heart failure) were randomized 1:1 to the NBD regimen or to the RASB regimen at week 0 (W0, baseline). Treatment intensity was increased at week 4, 8, or 10 if home BP was ≥135/85 mmHg, by sequentially adding 25 mg spironolactone, 20–40 mg furosemide, and 5 mg amiloride (NBD group) or 5–10 mg ramipril and 5–10 mg bisoprolol (RASB group). No other antihypertensive drug was allowed during the study. BP, BNP levels, and echocardiographic parameters were assessed at weeks 0 and 12.
The baseline characteristics, laboratory parameters, and plasma hormones (BNP, renin, and aldosterone) and cardiac echocardiographic parameters did not significantly differ between the NBD and the RASB groups. Over 12 weeks, BNP levels significantly decreased in NBD but increased in RASB (mean CI 95% change in log‐transformed BNP levels: −43% −67%; −23% vs. +55% 46%; 62% in NBD vs. RASB, respectively, P < 0.0001). Similarly, the proportion of patients presenting ≥2 echocardiographic criteria of diastolic dysfunction decreased between baseline and W12 from 31% to 3% in NBD but increased from 19% to 32% in RASB (P = 0.0048). As compared with RASB, NBD induced greater decrease in ambulatory systolic BP (P < 0.0001), pulse pressure (P < 0.0001), and systemic vascular resistance (P < 0.005). In multivariable linear regression analyses, NBD treatment was significantly associated with decreased BNP levels (adjusted ß: −46.41 ± 6.99, P < 0.0001) independent of age, gender, renal function, and changes in BPs or heart rate.
Conclusions
In patients with resistant hypertension, nephron blockade with a combination of diuretics significantly improves cardiac markers of diastolic dysfunction independently of BP lowering.
Aims
Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous syndrome with various causes that may influence prognosis.
Methods and results
We extracted the electronic medical ...records for 2180 consecutive patients hospitalized between 2016 and 2019 for decompensated heart failure. Using a text mining algorithm looking for a left ventricular ejection fraction ≥50% and plasma brain natriuretic peptide level >100 pg/mL, we identified 928 HFpEF patients. We screened for a prevailing cause of HFpEF according to European guidelines and found that 418 (45.0%) patients had secondary HFpEF due to either myocardial (n = 125, 13.5%) or loading condition abnormalities (n = 293, 31.5%), while the remaining 510 (55.0%) patients had idiopathic HFpEF. We assessed the association between the causes of HFpEF and survival collected up to 31 December 2020 using Cox proportional hazards analysis. Even though patients with idiopathic HFpEF were older, frequently female, and had frequent co‐morbidities and a higher crude mortality rate compared with secondary HFpEF patients, their prognosis was similar after adjustment for age and sex. Unsupervised clustering analysis revealed three main phenogroups with different distribution of idiopathic vs. secondary HFpEF. The phenogroup with the highest proportion of idiopathic HFpEF (69%) had (i) an excess rate of non‐cardiac co‐morbidities including chronic obstructive pulmonary disease (31%) or obesity (41%) and (ii) a better prognosis compared with the two other phenogroups enriched with secondary HFpEF.
Conclusions
Aetiological classification provides clinical and prognostic information and may be useful to better decipher the clinical heterogeneity of HFpEF.
Condensed
The identification of specific aetiologies was possible in almost half of patients with heart failure with preserved ejection fraction (HFpEF). Compared with patients with secondary HFpEF, patients with idiopathic HFpEF were older, frequently female, and had a higher proportion of co‐morbidities and high crude mortality rates, but their prognosis was similar after adjustment for age and sex. Unsupervised cluster analysis, however, indicated that idiopathic HFpEF patients were mostly grouped into separate cluster with a better prognosis. Aetiological classification provides clinical and prognostic information and may be useful to better decipher the clinical heterogeneity of HFpEF.
We aimed to compare the influence of cardiometabolic disorders on the incidence of severe COVID-19 vs. non-COVID pneumonia. We included all consecutive patients admitted with SARS-CoV-2-positive ...pneumonia between 12 March 2020 and 1 April 2020 and compared them to patients with influenza pneumonia hospitalized between December 2017 and December 2019 at the same tertiary hospital in Paris. Patients with COVID-19 were significantly younger and more frequently male. In the analysis adjusted for age and sex, patients with COVID-19 were more likely to be obese (adjOR: 2.25; 95% CI 1.24–4.09; p = 0.0076) and receive diuretics (adjOR: 2.13; 95% CI 1.12–4.03; p = 0.021) but were less likely to be smokers (adjOR: 0.40; 95% CI 0.24–0.64; p = 0.0002), have COPD (adjOR: 0.25; 95% CI 0.11–0.56; p = 0.0008), or have a previous or active cancer diagnosis (adjOR: 0.54, 95% CI 0.32–0.91; p = 0.020). The rate of ICU admission was significantly higher in patients with COVID-19 (32.4% vs. 5.2% p < 0.0001). Obesity was significantly associated with the risk of direct ICU admission in patients with COVID-19 but not in patients with influenza pneumonia. Likewise, pre-existing hypertension was significantly associated with mortality in patients with COVID-19 but not in patients with influenza pneumonia. Cardiometabolic disorders differentially influenced the risk of presenting with severe COVID-19 or influenza pneumonia.
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