Prehospital acute life-threatening cardiovascular disease in elderly: an observational, prospective, multicentre, ambulance-based cohort study

OBJECTIVE

The aim was to explore the association of demographic and prehospital parameters with short-term and long-term mortality in acute life-threatening cardiovascular disease by using a hazard model, focusing on elderly individuals, by comparing patients under 75 years versus patients over 75 years of age.

DESIGN

Prospective, multicentre, observational study.

SETTING

Emergency medical services (EMS) delivery study gathering data from two back-to-back studies between 1 October 2019 and 30 November 2021. Six advanced life support (ALS), 43 basic life support and five hospitals in Spain were considered.

PARTICIPANTS

Adult patients suffering from acute life-threatening cardiovascular disease attended by the EMS.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcome was in-hospital mortality from any cause within the first to the 365 days following EMS attendance. The main measures included prehospital demographics, biochemical variables, prehospital ALS techniques used and syndromic suspected conditions.

RESULTS

A total of 1744 patients fulfilled the inclusion criteria. The 365-day cumulative mortality in the elderly amounted to 26.1% (229 cases) versus 11.6% (11.6%) in patients under 75 years old. Elderly patients (≥75 years) presented a twofold risk of mortality compared with patients ≤74 years. Life-threatening interventions (mechanical ventilation, cardioversion and defibrillation) were also related to a twofold increased risk of mortality. Importantly, patients suffering from acute heart failure presented a more than twofold increased risk of mortality.

CONCLUSIONS

This study revealed the prehospital variables associated with the long-term mortality of patients suffering from acute cardiovascular disease. Our results provide important insights for the development of specific codes or scores for cardiovascular diseases to facilitate the risk of mortality characterisation.

Efficacy of short-course colchicine treatment in hospitalized patients with moderate to severe COVID-19 pneumonia and hyperinflammation: a randomized clinical trial

Some patients with COVID-19 pneumonia develop an associated cytokine storm syndrome that aggravates the pulmonary disease. These patients may benefit of anti-inflammatory treatment. The role of colchicine in hospitalized patients with COVID-19 pneumonia and established hyperinflammation remains unexplored. In a prospective, randomized controlled, observer-blinded endpoint, investigator-initiated trial, 240 hospitalized patients with COVID-19 pneumonia and established hyperinflammation were randomly allocated to receive oral colchicine or not. The primary efficacy outcome measure was a composite of non-invasive mechanical ventilation (CPAP or BiPAP), admission to the intensive care unit, invasive mechanical ventilation requirement or death. The composite primary outcome occurred in 19.3% of the total study population. The composite primary outcome was similar in the two arms (17% in colchicine group vs. 20.8% in the control group; p = 0.533) and the same applied to each of its individual components. Most patients received steroids (98%) and heparin (99%), with similar doses in both groups. In this trial, including adult patients with COVID-19 pneumonia and associated hyperinflammation, no clinical benefit was observed with short-course colchicine treatment beyond standard care regarding the combined outcome measurement of CPAP/BiPAP use, ICU admission, invasive mechanical ventilation or death (Funded by the Community of Madrid, EudraCT Number: 2020-001841-38; 26/04/2020).

Clinical outcomes in spontaneous coronary artery dissection

OBJECTIVE

Spontaneous coronary artery dissection (SCAD) is an infrequent cause of acute coronary syndrome. Our aim was to assess adverse events at follow-up from a nationwide prospective cohort.

METHODS

The Spanish Registry on SCAD (SR-SCAD) included patients from 34 hospitals. All coronary angiograms were analysed by two experts. Those cases with doubts regarding the diagnosis of SCAD were excluded. The angiographic SCAD classification by Saw et al was followed. Major adverse cardiovascular and cerebrovascular event (MACCE) was predefined as composite of death, myocardial infarction, unplanned revascularisation, SCAD recurrence or stroke. All events were assigned by a Clinical Events Committee.

RESULTS

After corelab evaluation, 389 patients were included. Most patients were women (88%); median age 53 years (IQR 47-60). Most patients presented as non-ST-segment-elevation myocardial infarction (54%). A type 2 intramural haematoma (IMH) was the most frequent angiographic pattern (61%). A conservative initial management was selected in 78% of patients. At a median time of follow-up of 29 months (IQR 17-38), 46 patients (13%) presented MACCE, mainly driven by reinfarctions (7.6%) and unplanned revascularisations (6.2%). Previous history of hypothyroidism (HR 3.79; p<0.001), proximal vessel involvement (HR 2.69; p=0.009), type 2 IMH (HR 2.12; p=0.037) and dual antiplatelet therapy (DAPT) at discharge (HR 2.18; p=0.042) were independent predictors of MACCE.

CONCLUSIONS

In this large prospective cohort of patients with SCAD, prognosis was overall favourable, with events mainly driven by reinfarctions or unplanned revascularisations. History of hypothyroidism, proximal vessel involvement, type 2 IMH and DAPT at discharge were associated with MACCE.

TRIAL REGISTRATION NUMBER

NCT03607981.

Analyzing artificial intelligence systems for the prediction of atrial fibrillation from sinus-rhythm ECGs including demographics and feature visualization

Atrial fibrillation (AF) is an abnormal heart rhythm, asymptomatic in many cases, that causes several health problems and mortality in population. This retrospective study evaluates the ability of different AI-based models to predict future episodes of AF from electrocardiograms (ECGs) recorded during normal sinus rhythm. Patients are divided into two classes according to AF occurrence or sinus rhythm permanence along their several ECGs registry. In the constrained scenario of balancing the age distributions between classes, our best AI model predicts future episodes of AF with area under the curve (AUC) 0.79 (0.72–0.86). Multiple scenarios and age-sex-specific groups of patients are considered, achieving best performance of prediction for males older than 70 years. These results point out the importance of considering different demographic groups in the analysis of AF prediction, showing considerable performance gaps among them. In addition to the demographic analysis, we apply feature visualization techniques to identify the most important portions of the ECG signals in the task of AF prediction, improving this way the interpretability and understanding of the AI models. These results and the simplicity of recording ECGs during check-ups add feasibility to clinical applications of AI-based models.

Systematic review and meta-analysis of fluid therapy protocols in acute pancreatitis: type, rate and route

BACKGROUND

Adequate fluid resuscitation is paramount in the management of acute pancreatitis (AP). The aim of this study is to assess benefits and harms of fluid therapy protocols in patients with AP.

METHODS

MEDLINE, Embase, Science Citation Index and clinical trial registries were searched for randomised clinical trials published before May 2020, assessing types of fluids, routes and rates of administration.

RESULTS

A total 15 trials (1073 participants) were included. Age ranged from 38 to 73 years; follow-up period ranged from 0.5 to 6 months. Ringer lactate (RL) showed a reduced number of severe adverse events (SAE) when compared to normal saline (NS) (OR 0.48; 95%CI 0.29-0.81, p = 0.006); additionally, NS showed reduced SAE (RR 0.38; 95%IC 0.27-0.54, p < 0.001) and organ failure (RR 0.30; 95%CI 0.21-0.44, p < 0.001) in comparison with hydroxyethyl starch (HES). High fluid rate fluid infusion showed increased mortality (OR 2.88; 95%CI 1.41-5.88, p = 0.004), increased number of SAE (RR 1.42; 95%CI 1.04-1.93, p = 0.030) and higher incidence of sepsis (RR 2.80; 95%CI 1.51-5.19, p = 0.001) compared to moderate fluid rate infusion.

CONCLUSIONS

In patients with AP, RL should be preferred over NS and HES should not be recommended. Based on low-certainty evidence, moderate-rate fluid infusion should be preferred over high-rate infusion.

Usefulness of the CONUT index upon hospital admission as a potential prognostic indicator of COVID-19 health outcomes

BACKGROUND

In-hospital mortality in patients with coronavirus disease 2019 (COVID-19) is high. Simple prognostic indices are needed to identify patients at high-risk of COVID-19 health outcomes. We aimed to determine the usefulness of the CONtrolling NUTritional status (CONUT) index as a potential prognostic indicator of mortality in COVID-19 patients upon hospital admission.

METHODS

Our study design is of a retrospective observational study in a large cohort of COVID-19 patients. In addition to descriptive statistics, a Kaplan-Meier mortality analysis and a Cox regression were performed, as well as receiver operating curve (ROC).

RESULTS

From February 5, 2020 to January 21, 2021, there was a total of 2969 admissions for COVID-19 at our hospital, corresponding to 2844 patients. Overall, baseline (within 4 days of admission) CONUT index could be scored for 1627 (57.2%) patients. Patients' age was 67.3 ± 16.5 years and 44.9% were women. The CONUT severity distribution was: 194 (11.9%) normal (0-1); 769 (47.2%) light (2-4); 585 (35.9%) moderate (5-8); and 79 (4.9%) severe (9-12). Mortality of 30 days after admission was 3.1% in patients with normal risk CONUT, 9.0% light, 22.7% moderate, and 40.5% in those with severe CONUT (P < 0.05). An increased risk of death associated with a greater baseline CONUT stage was sustained in a multivariable Cox regression model (P < 0.05). An increasing baseline CONUT stage was associated with a longer duration of admission, a greater requirement for the use of non-invasive and invasive mechanical ventilation, and other clinical outcomes (all P < 0.05). The ROC of CONUT for mortality had an area under the curve (AUC) and 95% confidence interval of 0.711 (0.676-0746).

CONCLUSION

The CONUT index upon admission is potentially a reliable and independent prognostic indicator of mortality and length of hospitalization in COVID-19 patients.

A comprehensive model to estimate underlying atrial fibrillation in cryptogenic stroke: the decrypting score

Introduction

Cryptogenic stroke (CS) represents up to 30% of ischemic strokes. Since atrial fibrillation (AF) can be detected in up to one-third of CS, there is a clinical need for estimating the probability of underlying AF in CS to guide the optimal secondary prevention strategy.

Surrogate markers of left atrial dysfunction such as left atrial size, left atrial strain (LAS) and NTproBNP has been described as predictors of AF in patients with CS. However the evidence about AF markers in comprehensive and prospective studies in CS is still limited.

Purpose

The present study was designed to develop the first score to predict underlying AF in CS patients that includes markers of atrial dysfunction. To reach our aim we developed a comprehensive analysis including clinical, laboratory, electrocardiografic and advanced echocardiographic variables in patients with CS.

Methods

Sixty-three consecutive patients with ischemic stroke or transient ischemic attack with ABCD2 scale ≥4 of unknown etiology were prospectively recruited. Clinical, laboratory, electrocardiografic and echocardiographic variables were collected. All patients underwent 15 days wearable Holter monitoring. Main objective was the Decryptoring score creation to predict AF in CS. Score variables were initially selected by a univariate logistic regression and, thereafter, the score points were derived according to a multivariant analysis.

Results

AF was detected in 15 patients (24%). Patients in the AF group were older (81.4±6.9 vs 76.5±7.8 years; p=0.035. There was no difference in sex between groups. Regarding cardiovascular risk factors patients who developed AF had more often hypertension (87% vs 52%; p=0.018) without differences in diabetes, dyslipidemia and tobacco consumption. T troponin and NTproBNP were higher in the AF group (47±55.9 vs 16.8±12.4 ng/L; p=0.018 and 1379±1650 vs 317±496 ng/ml; p=0.001 respectively). There were no differences in ECG parameters such as p wave voltage, interatrial block, PR interval or QRS.

LAS reservoir, LAS conduct and LAS contraction were lower in patients with AF (18.6±4.6 vs 32.1±10.9%; 8±4.3 vs 15.6±8%; 10.5±3.4 vs 16.6±7 respectively, all p&lt;0.001).

Age &gt;75 (9 points), hypertension (1 point), Troponin T &gt;40 ng/L (8.5 points), NTproBNP &gt;200 pg/ml (0.5 points), LAS reservoir &lt;25.3% (24.5 points) and LAS conduct &lt;10.4% (0.5 points) were included in the score. The rate of AF detection was 0% among patients with a score of &lt;10 and 80% among patients with a score &gt;35.

Conclusion

The proposed score offers an accurate AF prediction in patients with CS providing a new clinical tool to orient the optimal treatment in these patients.

Funding Acknowledgement

Type of funding sources: Other. Main funding source(s): Spanish Society of Cardiology

DNA Copy Number Variation Associated with Anti-tumour Necrosis Factor Drug Response and Paradoxical Psoriasiform Reactions in Patients with Moderate-to-severe Psoriasis

Biological drugs targeting tumour necrosis factor are effective for psoriasis. However, 30–50% of patients do not respond to these drugs and may even develop paradoxical psoriasiform reactions. This study searched for DNA copy number variations that could predict anti-tumour necrotic factor drug response or the appearance of antitumour necrotic factor induced psoriasiform reactions. Peripheral blood samples were collected from 70 patients with anti-tumour necrotic factor drug-treated moderate-to-severe plaque psoriasis. Samples were analysed with an Illumina 450K methylation microarray. Copy number variations were obtained from raw methylation data using conumee and Chip Analysis Methylation Pipeline (ChAMP) R packages. One copy number variation was found, harbouring one gene (CPM) that was significantly associated with adalimumab response (Bonferroni-adjusted p-value < 0.05). Moreover, one copy number variation was identified harbouring 3 genes (ARNT2, LOC101929586 and MIR5572) related to the development of paradoxical psoriasiform reactions. In conclusion, this study has identified DNA copy number variations that could be good candidate markers to predict response to adalimumab and the development of anti-tumour necrotic factor paradoxical psoriasiform reactions.

[Is it possible to extract intracranial pressure information based on the EEG activity?]

INTRODUCTION

The capability of the electroencephalography (EEG) of recording the bioelectrical activity of the brain has made of it a fundamental tool for the evaluation of the patient's neurological condition. In recent years, moreover, it has also begun to be used in obtaining information for other kind of variables, as the ones related with the cerebral hemodynamics.

AIM

To study the potential relationship between the EEG activity and the intracranial pressure (ICP) in patients suffering from traumatic brain injury and subarachnoid hemorrhage, during their stay at the intensive care unit.

PATIENTS AND METHODS

Twenty-one adult patients (10 women) were included in the present observational prospective cohort study. They suffered from either traumatic brain injury or subarachnoid hemorrhage, requiring continuous EEG and ICP monitoring. In every patient, Granger causality between spectral functions of the EEG and the ICP was evaluated. Temporal windows of 10 minute were used to evaluate whether a causal relationship between those variables exist or not. In all of the cases, several days of continuous recording and assessment were performed.

RESULTS

In most patients and during most of the time, Granger causality turns out to be significant in the direction from the EEG to the ICP, meaning that the EEG dynamics actually leads the ICP dynamics.

CONCLUSIONS

The present work provides useful information and shed light in discovering a hidden relationship between the ICP and EEG dynamics. The potential use of this relationship could lead to develop a medical device to measure ICP in a non-invasive fashion.

Impact of type of intracranial EEG sensors on link strengths of evolving functional brain networks

Objective and Approach: Investigating properties of evolving functional brain networks has become a valuable tool to characterize the complex dynamics of the epileptic brain. Such networks are usually derived from electroencephalograms (EEG) recorded with sensors implanted chronically into deeper structures of the brain and/or placed onto the cortex. It is still unclear, however, whether the use of different sensors for an identification of network nodes affects properties of functional brain networks. We address this question by investigating properties of links of such networks that we characterize by assessing interactions in multi-sensor, multi-day EEG data recorded from 49 epilepsy patients during presurgical evaluation. These data allow us to study the impact of different types of sensors together with the impact of various physiologic and pathophysiologic activities on the properties of links.

MAIN RESULTS

We observe that different types of sensors differently impact on spatial means and temporal fluctuations of link strengths. Moreover, the impact depends on the relative anatomical location of sensors with respect to location and extent of sources of the prevailing activities.

SIGNIFICANCE

Type and location of sensors should be considered when constructing networks.

[When does post-ictal period start in temporal lobe epilepsy? A quantitative EEG perspective]

INTRODUCTION

In partial seizures, from a clinical point of view or even from electroencephalography characterization of post-ictal period can be difficult. The spectral and complex network analysis could lead to a more accurate definition of its limits, as well as to a great understanding of the seizures.

PATIENTS AND METHODS

Digital EEG recordings from scalp and foramen oval electrodes were used, 32 seizures, from 15 patients with drug-resistant mesial temporal lobe epilepsy (Engel I). We analyzed numerically: the spectral entropy, the different frequency bands and several variables used to characterize the cortical network, density of links, modularity, cluster coefficient and average path length. Variations of for post-ictal versus pre-ictal periods were quantified.

RESULTS

The cortical network density of links increased during the post-ictal period of complex seizures matching with an spectral entropy decrease, mainly due to an increase in Delta band activity. This variables reached extreme values around one minute after seizure end, defined by classical electroencephalography.

CONCLUSIONS

Our results can be explained by the appearance of an 'ending' mechanism that starts in the ictal period, classically defined, and reach their maximum effect during the post-ictal period. These results could be useful to define the post-ictal period start, as the moment with maximum synchrony, which has a highest density of links and a lowest spectral entropy.