Clinical characteristics of heart failure patients with mid-range ejection fraction.

BACKGROUND: We aimed to characterise and compare the clinical profile of heart failure (HF) with mid-range (HFmrEF), reduced (HFrEF) and preserved (HFpEF) left-ventricular ejection fraction. METHODS: We conducted a descriptive, observational study in 267 HF patients admitted to the Internal Medicine department of a tertiary hospital during 2010-2016. The study population was divided into three groups according to the ejection fraction rate: HFrEF (<40%), HFmrEF (40-49%), and HFpEF (≥50%). We analysed and compared their demographic, clinical, and analytical characteristics. RESULTS: The mean age of the study population was 79.5 (standard deviation, 8.14) years; 56.6% were males. The most common phenotype was HFpEF (58.1%), followed by HFrEF (21.7%) and HFmrEF (20.2%). Ischaemic cardiopathy was the primary aetiology in the HFmrEF and HFrEF groups, and arterial hypertension in the HFpEF group. The most common comorbidities among HFmrEF patients were diabetes (43.4%), chronic obstructive pulmonary disease (35.8%), and anaemia (35.8%); 49.1% had impairment of segmental myocardial contractility, and 35.8% ventricular dilatation. No differences in HF outcomes were observed among the three phenotypes. CONCLUSION: HFmrEF shows characteristics similar to both HFpEF and HFrEF. Further large-scale studies with longer follow-up are needed to ascertain if it is worth distinguishing this phenotype in clinical practice in terms of management and prognosis.

Echocardiographic markers of cardiac amyloidosis in patients with heart failure and left ventricular hypertrophy.

BACKGROUND: Cardiac amyloidosis (CA), following a non-invasive diagnosis, constitutes an increasingly prevalent heart failure (HF) etiology. This study aims to determine which echocardiography findings help to diagnose CA in patients with left ventricular hypertrophy (LVH) admitted for decompensated HF. METHODS: The present study is a retrospective observational study on a cohort of 85 LVH patients admitted for HF decompensation, in which 99mTc-DPD scanning was performed to rule out transthyretin CA. The echocardiographic findings obtained were compared between CA and non-CA groups. RESULTS: From a total number of 85 patients, 49 (57.6%) met the CA criteria and 36 (42.3%) were ruled out for the disease. Interventricular septum thickness (16 ± 3 mm vs. 14 ± 3 mm), left ventricular posterior wall thickness (14 ± 3 mm vs. 11 ± 2 mm), left ventricular mass (259 ± 76 g vs. 224 ± 53 g), left ventricular end-diastolic diameter (48 ± 7 mm vs. 53 ± 6 mm), left ventricular end-diastolic indexed volume (51 ± 18 cm3/m2 vs. 59 ± 16 cm3/m2), tricuspid annular plane systolic excursion (16 ± 5 mm vs. 20 ± 4 mm), right atrial area (27.4 ± 8.4 cm2 vs. 22.2 ± 5.7 cm2) and strain relative apical sparing (2.2 ± 0.9 vs. 1.03 ± 0.4; p = 0.04) were significantly associated with the diagnosis of CA. CONCLUSIONS: In patients with LVH admitted for HF decompensation, there are several echocardiographic features (LVH, reduced left ventricular cavity size, strain relative apical sparing, right atrial dilation, and altered right ventricular function) that are associated with the diagnosis of cardiac amyloidosis.

WHO Ordinal Scale and Inflammation Risk Categories in COVID-19. Comparative Study of the Severity Scales.

BACKGROUND: The WHO ordinal severity scale has been used to predict mortality and guide trials in COVID-19. However, it has its limitations. OBJECTIVE: The present study aims to compare three classificatory and predictive models: the WHO ordinal severity scale, the model based on inflammation grades, and the hybrid model. DESIGN: Retrospective cohort study with patient data collected and followed up from March 1, 2020, to May 1, 2021, from the nationwide SEMI-COVID-19 Registry. The primary study outcome was in-hospital mortality. As this was a hospital-based study, the patients included corresponded to categories 3 to 7 of the WHO ordinal scale. Categories 6 and 7 were grouped in the same category. KEY RESULTS: A total of 17,225 patients were included in the study. Patients classified as high risk in each of the WHO categories according to the degree of inflammation were as follows: 63.8% vs. 79.9% vs. 90.2% vs. 95.1% (p<0.001). In-hospital mortality for WHO ordinal scale categories 3 to 6/7 was as follows: 0.8% vs. 24.3% vs. 45.3% vs. 34% (p<0.001). In-hospital mortality for the combined categories of ordinal scale 3a to 5b was as follows: 0.4% vs. 1.1% vs. 11.2% vs. 27.5% vs. 35.5% vs. 41.1% (p<0.001). The predictive regression model for in-hospital mortality with our proposed combined ordinal scale reached an AUC=0.871, superior to the two models separately. CONCLUSIONS: The present study proposes a new severity grading scale for COVID-19 hospitalized patients. In our opinion, it is the most informative, representative, and predictive scale in COVID-19 patients to date.

Clusters of inflammation in COVID-19: descriptive analysis and prognosis on more than 15,000 patients from the Spanish SEMI-COVID-19 Registry.

Uncontrolled inflammation following COVID-19 infection is an important characteristic of the most seriously ill patients. The present study aims to describe the clusters of inflammation in COVID-19 and to analyze their prognostic role. This is a retrospective observational study including 15,691 patients with a high degree of inflammation. They were included in the Spanish SEMI-COVID-19 registry from March 1, 2020 to May 1, 2021. The primary outcome was in-hospital mortality. Hierarchical cluster analysis identified 7 clusters. C1 is characterized by lymphopenia, C2 by elevated ferritin, and C3 by elevated LDH. C4 is characterized by lymphopenia plus elevated CRP and LDH and frequently also ferritin. C5 is defined by elevated CRP, and C6 by elevated ferritin and D-dimer, and frequently also elevated CRP and LDH. Finally, C7 is characterized by an elevated D-dimer. The clusters with the highest in-hospital mortality were C4, C6, and C7 (17.4% vs. 18% vs. 15.6% vs. 36.8% vs. 17.5% vs. 39.3% vs. 26.4%). Inflammation clusters were found as independent factors for in-hospital mortality. In detail and, having cluster C1 as reference, the model revealed a worse prognosis for all other clusters: C2 (OR = 1.30, p = 0.001), C3 (OR = 1.14, p = 0.178), C4 (OR = 2.28, p < 0.001), C5 (OR = 1.07, p = 0.479), C6 (OR = 2.29, p < 0.001), and C7 (OR = 1.28, p = 0.001). We identified 7 groups based on the presence of lymphopenia, elevated CRP, LDH, ferritin, and D-dimer at the time of hospital admission for COVID-19. Clusters C4 (lymphopenia + LDH + CRP), C6 (ferritin + D-dimer), and C7 (D-dimer) had the worst prognosis in terms of in-hospital mortality.

Impact of Arterial Stiffness on All-Cause Mortality in Patients Hospitalized With COVID-19 in Spain.

Older age and cardiovascular comorbidities are well-known risk factors for all-cause mortality in patients with coronavirus disease 2019 (COVID-19). Hypertension and age are the 2 principal determinants of arterial stiffness (AS). This study aimed to estimate AS in patients with COVID-19 requiring hospitalization and analyze its association with all-cause in-hospital mortality. This observational, retrospective, multicenter cohort study analyzed 12 170 patients admitted to 150 Spanish centers included in the SEMI-COVID-19 Network. We compared AS, defined as pulse pressure ≥60 mm Hg, and clinical characteristics between survivors and nonsurvivors. Mean age was 67.5 (±16.1) years and 42.5% were women. Overall, 2606 (21.4%) subjects died. Admission systolic blood pressure (BP) <120 and ≥140 mm Hg was a predictor of higher all-cause mortality (23.5% and 22.8%, respectively, P<0.001), compared with systolic BP between 120 and 140 mm Hg (18.6%). The 4379 patients with AS (36.0%) were older and had higher systolic and lower diastolic BP. Multivariate analysis showed that AS and systolic BP <120 mm Hg significantly and independently predicted all-cause in-hospital mortality (adjusted odds ratio [ORadj]: 1.27, P=0.0001; ORadj: 1.48, P=0.0001, respectively) after adjusting for sex (males, ORadj: 1.6, P=0.0001), age tertiles (second and third tertiles, ORadj: 2.0 and 4.7, P=0.0001), Charlson Comorbidity Index (second and third tertiles, ORadj: 4.8 and 8.6, P=0.0001), heart failure, and previous and in-hospital antihypertensive treatment. Our data show that AS and admission systolic BP <120 mm Hg had independent prognostic value for all-cause mortality in patients with COVID-19 requiring hospitalization.

Myoclonus induced by amoxicillin-clavulanic acid.

•We present a patient in whom myoclonus appeared after initiation of treatment with amoxicillin-clavulanic acid.•Myoclonus and EEG abnormalities disappeared after discontinuation of antibiotic treatment.•This possible adverse effect should be considered to avoid performing aggressive therapeutic maneuvers.

Sex Differences in Comorbidity, Therapy, and Health Services' Use of Heart Failure in Spain: Evidence from Real-World Data.

Heart failure (HF) is becoming increasingly prevalent and affects both men and women. However, women have traditionally been underrepresented in HF clinical trials. In this study, we aimed to analyze sex differences in the comorbidity, therapy, and health services' use of HF patients. We conducted a cross-sectional study in Aragón (Spain) and described the characteristics of 17,516 patients with HF. Women were more frequent (57.4 vs. 42.6%, p < 0.001) and older (83 vs. 80 years, p < 0.001) than men, and presented a 33% lower risk of 1-year mortality (p < 0.001). Both sexes showed similar disease burdens, and 80% suffered six or more diseases. Some comorbidities were clearly sex-specific, such as arthritis, depression, and hypothyroidism in women, and arrhythmias, ischemic heart disease, and COPD in men. Men were more frequently anti-aggregated and anti-coagulated and received more angiotensin-converting-enzyme (ACE) inhibitors and beta-blockers, whereas women had more angiotensin II antagonists, antiinflammatories, antidepressants, and thyroid hormones dispensed. Men were admitted to specialists (79.0 vs. 70.6%, p < 0.001), hospital (47.0 vs. 38.1%, p < 0.001), and emergency services (57.6 vs. 52.7%, p < 0.001) more frequently than women. Our results highlight the need to conduct future studies to confirm the existence of these differences and of developing separate HF management guidelines for men and women that take into account their sex-specific comorbidity.

Diagnosis of genetic amyloidosis through the analysis of transthyretin gene mutation using high-resolution melting.

Transthyretin amyloidosis can be either the wild-type (ATTR-wt) or the hereditary form (ATTR-m) with autosomal dominant inheritance. ATTR seems to be an underdiagnosed disease, despite now being recognized as one of the most frequent causes of heart failure (HF) with preserved ejection fraction. The confirmation of diagnosis includes a genetic analysis as a critical step to distinguish between ATTR-wt and hereditary amyloidosis. The present study aimed to evaluate the potential application of High-Resolution Melting (HRM) analysis for identifying gene mutations in patients with suspected ATTR-m. We have adapted and validated the use of HRM for TTR mutations. We, therefore, sequenced the TTR gene and used HRM in a group of 134 patients suspected of suffering from amyloidosis. Seven patients were diagnosed with mutations in the TTR gene (p.Glu74Gln, heterozygous p.Val142Ile, and homozygous p.Val142Ile). HRM is capable of clearly detecting these TTR mutations, including the heterozygous and homozygous variants. The results show a 100% correlation between the HRM study and TTR sequencing. These results support future studies of applying HRM analysis as a diagnostic approach for ATTR-m, mainly for epidemiological studies.

Multimorbidity patterns in patients with heart failure: an observational Spanish study based on electronic health records.

OBJECTIVES: To characterise the comorbidities of heart failure (HF) in men and women, to explore their clustering into multimorbidity patterns, and to measure the impact of such patterns on the risk of hospitalisation and mortality. DESIGN: Observational retrospective population study based on electronic health records. SETTING: EpiChron Cohort (Aragón, Spain). PARTICIPANTS: All the primary and hospital care patients of the EpiChron Cohort with a diagnosis of HF on 1 January 2011 (ie, 8488 women and 6182 men). We analysed all the chronic diseases registered in patients' electronic health records until 31 December 2011. PRIMARY OUTCOME: We performed an exploratory factor analysis to identify the multimorbidity patterns in men and women, and logistic and Cox proportional-hazards regressions to investigate the association between the patterns and the risk of hospitalisation in 2012, and of 3-year mortality. RESULTS: Almost all HF patients (98%) had multimorbidity, with an average of 7.8 chronic diseases per patient. We identified six different multimorbidity patterns, named cardiovascular, neurovascular, coronary, metabolic, degenerative and respiratory. The most prevalent were the degenerative (64.0%) and cardiovascular (29.9%) patterns in women, and the metabolic (49.3%) and cardiovascular (43.2%) patterns in men. Every pattern was associated with higher hospitalisation risks; and the cardiovascular, neurovascular and respiratory patterns significantly increased the likelihood of 3-year mortality. CONCLUSIONS: Multimorbidity is the norm rather than the exception in patients with heart failure, whose comorbidities tend to cluster together beyond simple chance in the form of multimorbidity patterns that have different impact on health outcomes. This knowledge could be useful to better understand common pathophysiological pathways underlying this condition and its comorbidities, and the factors influencing the prognosis of men and women with HF. Further large scale longitudinal studies are encouraged to confirm the existence of these patterns as well as their differential impact on health outcomes.

Disfunción sinusal transitoria secundaria a tratamiento con lacosamida / Transient sinus dysfunction secondary to lacosamide treatment

RESUMEN Se presenta el caso de una paciente de 84 años de edad, con antecedentes de hipertensión arterial, dislipemia, insuficiencia venosa crónica y osteoartrosis, que -debido a una neuralgia del trigémino- había recibido tratamiento con varios fármacos, sin lograr control del dolor neuropático, por lo que se inició tratamiento con lacosamida en monoterapia, con incremento de dosis hasta lograr el objetivo terapéutico; pero la paciente presentó manifestaciones clínicas y alteraciones electrocardiográficas compatibles con disfunción sinusal, que se resolvieron tras la reducción de la dosis del fármaco.

ABSTRACT The case of an 84-year-old female patient is presented, with a history of high blood pressure, dyslipidemia, chronic venous failure and osteoarthritis, which -due to trigeminal neuralgia- had received treatment with several drugs, without achieving neuropathic pain control; that was why the treatment with lacosamide was started in monotherapy, with an increase in dose until the therapeutic objective was achieved; but the patient presented clinical manifestations and electrocardiographic alterations compatible with sinus dysfunction, which were solved after reducing the dose of the drug.

Estimating the prevalence of allelic variants in the transthyretin gene by analysing large-scale sequencing data.

Transthyretin amyloidosis (ATTR amyloidosis) is a rare disease characterised by extracellular deposition of amyloid fibrils composed by transthyretin. ATTR amyloidosis can be sub-classified as wild-type ATTR (ATTR-wt) or as hereditary amyloidosis (ATTR-m); the prevalence of both types are likely underestimated. There are tools that can help us to study ATTR-m, as gnomAD database. Our primary aim was to estimate prevalence of variants, especially amyloidogenic variants, in the TTR gene using gnomAD database. We analysed TTR missense variants found in gnomAD. The variables studied were classified according to their clinical significance and according to the different populations. We found 71 missense variants in the TTR gene. Eleven variants were described as affects function variants (prevalence 1:230). The most frequently detected variant were c.424G>A (p.(Val142Ile)) (prevalence 1:332, MAF 0.00151) and c.148G>A (p.(Val50Met)) (prevalence 1:4924, MAF 0.000102), which represented 88% and 5%, respectively, of all affects function variants detected. Seventeen variants were classified as probably affects function, 29 as unknown variants, 4 as probably does not affect function and 10 as does not affect function variants. In terms of different populations, c.424G>A (p.(Val142Ile)) was especially prevalent in African population (MAF 0.01602; prevalence of 1:31) and c.148G>A (p.(Val50Met)) in European population (MAF 0.000179; prevalence of 1:2792). Prevalence of amyloidogenic variants in the general population was higher than prevalence heretofore described. This difference could be explained by incomplete penetrance of the disease, but other factors contributing to this fact, fundamentally the underdiagnosis of the disease.

Mioclonías asociadas al tratamiento con ciprofloxacino / Myoclonus associated with Ciprofloxacin therapy

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