Gender Predicts Differences in Acute Ischemic Cardioembolic Stroke Profile: Emphasis on Woman-Specific Clinical Data and Early Outcome-The Experience of Sagrat Cor Hospital of Barcelona Stroke Registry.

Background and Objectives: Acute ischemic cardioembolic stroke (CS) is a clinical condition with a high risk of death, and can lead to dependence, recurrence, and dementia. Materials and Methods: In this study, we evaluated gender differences and female-specific clinical data and early outcomes in 602 women diagnosed with CS from a total of 4600 consecutive acute stroke patients in a single-center hospital stroke registry over 24 years. A comparative analysis was performed in women and men in terms of demographics, cerebrovascular risk factors, clinical data, and early outcomes. Results: In a multivariate analysis, age, hypertension, valvular heart disease, obesity, and internal capsule location were independent variables associated with CS in women. The overall in-hospital mortality rate was similar, but the group of women had a greater presence of neurological deficits and a higher percentage of severe limitation at hospital discharge. After the multivariate analysis, age, altered consciousness, limb weakness, and neurological, respiratory, gastrointestinal, renal, cardiac and peripheral vascular complications were independent predictors related to early mortality in women. Conclusions: Women with CS showed a differential demographic and clinical profile and worse early outcomes than men. Advanced age, impaired consciousness, and medical complications were predictors of stroke severity in women with CS.

Acute Spontaneous Lobar Cerebral Hemorrhages Present a Different Clinical Profile and a More Severe Early Prognosis than Deep Subcortical Intracerebral Hemorrhages-A Hospital-Based Stroke Registry Study.

Acute spontaneous intracerebral hemorrhage (ICH) is the most severe stroke subtype, with a high risk of death, dependence, and dementia. Knowledge about the clinical profile and early outcomes of ICH patients with lobar versus deep subcortical brain topography remains limited. In this study, we investigated the effects of ICH topography on demographics, cerebrovascular risk factors, clinical characteristics, and early outcomes in a sample of 298 consecutive acute ICH patients (165 with lobar and 133 with subcortical hemorrhagic stroke) available in a single-center-based stroke registry over 24 years. The multiple logistic regression analysis shows that variables independently associated with lobar ICH were early seizures (OR 6.81, CI 95% 1.27−5.15), chronic liver disease (OR 4.55, 95% CI 1.03−20.15), hemianopia (OR 2.55, 95% CI 1.26−5.15), headaches (OR 1.90, 95% CI 1.90, 95% IC 1.06−3.41), alcohol abuse (>80 gr/day) (OR 0−10, 95% CI 0.02−0,53), hypertension (OR 0,41, 95% CI 0.23−0−70), sensory deficit (OR 0.43, 95% CI 0.25−0.75), and limb weakness (OR: 0.47, 95% CI 0.24−0.93). The in-hospital mortality was 26.7% for lobar and 16.5% for subcortical ICH. The study confirmed that the clinical spectrum, prognosis, and early mortality of patients with ICH depend on the site of bleeding, with a more severe early prognosis in lobar intracerebral hemorrhage.

Vertigo in Acute Stroke Is a Predictor of Brain Location but Is Not Related to Early Outcome: The Experience of Sagrat Cor Hospital of Barcelona Stroke Registry.

BACKGROUND: Vertigo is an uncommon symptom among acute stroke victims. Knowledge about the clinical profile, the brain location, and the early outcome in stroke patients with cerebrovascular diseases and vertigo remains limited. OBJECTIVES: In this study, the effects of vertigo on cerebral topography and early prognosis in cerebrovascular diseases were investigated. METHODS: A comparative analysis in terms of demographics, risk factors, clinical characteristics, stroke subtypes, cerebral and vascular topography, and early outcome was performed between patients with presence or absence of vertigo on a sample of 3743 consecutive acute stroke patients available from a 24-year ongoing single-center hospital-based stroke registry. RESULTS: Vertigo was present in 147 patients (3.9%). Multiple logistic regression analysis showed that variables independently associated with vertigo were: location in the cerebellum (OR 5.59, CI 95% 3.24-9.64), nausea or vomiting (OR 4.48, CI 95% 2.95-6.82), medulla (OR 2.87, CI 95% 1.31-6.30), pons (OR 2.39, CI 95% 1.26-4.51), basilar artery (OR 2.36, CI 95% 1.33-4.17), ataxia (OR 2.33, CI 95% 1.41-3.85), and headache (OR 2.31, CI 95% 1.53-3.49). CONCLUSION: The study confirmed that the presence of vertigo was not related with increased in-hospital mortality or poor prognosis at hospital discharge. Vertigo is mainly related to non-lacunar vertebrobasilar stroke with topographic localization in the cerebellum and/or brainstem.

Development and validation of a population-based risk stratification model for severe COVID-19 in the general population.

The shortage of recently approved vaccines against the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has highlighted the need for evidence-based tools to prioritize healthcare resources for people at higher risk of severe coronavirus disease (COVID-19). Although age has been identified as the most important risk factor (particularly for mortality), the contribution of underlying comorbidities is often assessed using a pre-defined list of chronic conditions. Furthermore, the count of individual risk factors has limited applicability to population-based "stratify-and-shield" strategies. We aimed to develop and validate a COVID-19 risk stratification system that allows allocating individuals of the general population into four mutually-exclusive risk categories based on multivariate models for severe COVID-19, a composite of hospital admission, transfer to intensive care unit (ICU), and mortality among the general population. The model was developed using clinical, hospital, and epidemiological data from all individuals among the entire population of Catalonia (North-East Spain; 7.5 million people) who experienced a COVID-19 event (i.e., hospitalization, ICU admission, or death due to COVID-19) between March 1 and September 15, 2020, and validated using an independent dataset of 218,329 individuals with COVID-19 confirmed by reverse transcription-polymerase chain reaction (RT-PCR), who were infected after developing the model. No exclusion criteria were defined. The final model included age, sex, a summary measure of the comorbidity burden, the socioeconomic status, and the presence of specific diagnoses potentially associated with severe COVID-19. The validation showed high discrimination capacity, with an area under the curve of the receiving operating characteristics of 0.85 (95% CI 0.85-0.85) for hospital admissions, 0.86 (0.86-0.97) for ICU transfers, and 0.96 (0.96-0.96) for deaths. Our results provide clinicians and policymakers with an evidence-based tool for prioritizing COVID-19 healthcare resources in other population groups aside from those with higher exposure to SARS-CoV-2 and frontline workers.

Performance of Three Measures of Comorbidity in Predicting Critical COVID-19: A Retrospective Analysis of 4607 Hospitalized Patients.

BACKGROUND: Comorbidity burden has been identified as a relevant predictor of critical illness in patients hospitalized with coronavirus disease 2019 (COVID-19). However, comorbidity burden is often represented by a simple count of few conditions that may not fully capture patients' complexity. PURPOSE: To evaluate the performance of a comprehensive index of the comorbidity burden (Queralt DxS), which includes all chronic conditions present on admission, as an adjustment variable in models for predicting critical illness in hospitalized COVID-19 patients and compare it with two broadly used measures of comorbidity. MATERIALS AND METHODS: We analyzed data from all COVID-19 hospitalizations reported in eight public hospitals in Catalonia (North-East Spain) between June 15 and December 8 2020. The primary outcome was a composite of critical illness that included the need for invasive mechanical ventilation, transfer to ICU, or in-hospital death. Predictors including age, sex, and comorbidities present on admission measured using three indices: the Charlson index, the Elixhauser index, and the Queralt DxS index for comorbidities on admission. The performance of different fitted models was compared using various indicators, including the area under the receiver operating characteristics curve (AUROCC). RESULTS: Our analysis included 4607 hospitalized COVID-19 patients. Of them, 1315 experienced critical illness. Comorbidities significantly contributed to predicting the outcome in all summary indices used. AUC (95% CI) for prediction of critical illness was 0.641 (0.624-0.660) for the Charlson index, 0.665 (0.645-0.681) for the Elixhauser index, and 0.787 (0.773-0.801) for the Queralt DxS index. Other metrics of model performance also showed Queralt DxS being consistently superior to the other indices. CONCLUSION: In our analysis, the ability of comorbidity indices to predict critical illness in hospitalized COVID-19 patients increased with their exhaustivity. The comprehensive Queralt DxS index may improve the accuracy of predictive models for resource allocation and clinical decision-making in the hospital setting.

Performance of quantitative measures of multimorbidity: a population-based retrospective analysis.

BACKGROUND: Multimorbidity measures are useful for resource planning, patient selection and prioritization, and factor adjustment in clinical practice, research, and benchmarking. We aimed to compare the explanatory performance of the adjusted morbidity group (GMA) index in predicting relevant healthcare outcomes with that of other quantitative measures of multimorbidity. METHODS: The performance of multimorbidity measures was retrospectively assessed on anonymized records of the entire adult population of Catalonia (North-East Spain). Five quantitative measures of multimorbidity were added to a baseline model based on age, gender, and socioeconomic status: the Charlson index score, the count of chronic diseases according to three different proposals (i.e., the QOF, HCUP, and Karolinska institute), and the multimorbidity index score of the GMA tool. Outcomes included all-cause death, total and non-scheduled hospitalization, primary care and ER visits, medication use, admission to a skilled nursing facility for intermediate care, and high expenditure (time frame 2017). The analysis was performed on 10 subpopulations: all adults (i.e., aged > 17 years), people aged > 64 years, people aged > 64 years and institutionalized in a nursing home for long-term care, and people with specific diagnoses (e.g., ischemic heart disease, cirrhosis, dementia, diabetes mellitus, heart failure, chronic kidney disease, and chronic obstructive pulmonary disease). The explanatory performance was assessed using the area under the receiving operating curves (AUC-ROC) (main analysis) and three additional statistics (secondary analysis). RESULTS: The adult population included 6,224,316 individuals. The addition of any of the multimorbidity measures to the baseline model increased the explanatory performance for all outcomes and subpopulations. All measurements performed better in the general adult population. The GMA index had higher performance and consistency across subpopulations than the rest of multimorbidity measures. The Charlson index stood out on explaining mortality, whereas measures based on exhaustive definitions of chronic diagnostic (e.g., HCUP and GMA) performed better than those using predefined lists of diagnostics (e.g., QOF or the Karolinska proposal). CONCLUSIONS: The addition of multimorbidity measures to models for explaining healthcare outcomes increase the performance. The GMA index has high performance in explaining relevant healthcare outcomes and may be useful for clinical practice, resource planning, and public health research.

Cardioembolic stroke: risk factors, clinical features, and early outcome in 956 consecutive patients

ABSTRACT Background: There is little information about the early clinical features of cardioembolic stroke before complementary examinations. Objective: The aim of this study was to identify risk factors, clinical features, and early outcomes of cardioembolic stroke. Methods: Retrospective study based on prospectively collected data available from a university medical center hospital-based stroke registry. Consecutive patients diagnosed with cardioembolic infarction were selected and compared to those diagnosed with an atherothrombotic stroke. Predictors of cardioembolic infarction were assessed by multivariate analysis. Results: From a cohort of 4597 consecutive patients, we studied 956 patients diagnosed with cardioembolic infarction (80 years [standard deviation (SD) 9.14]; 63% women) and 945 with atherothrombotic infarction (77.01 years [SD 9.75]; 49.8% women). The univariate comparative analysis reported that advanced age (≥ 85 years), female gender, atrial fibrillation (AF), ischemic heart disease, and congestive heart failure were significantly more frequent in the cardioembolic group, whereas hypertension, diabetes, peripheral vascular disease, heavy smoking, hyperlipidemia, and previous transient ischemic attack were significant in the atherothrombotic group. In the logistic regression model, AF (odds ratio [OR] 15.75, 95% confidence interval [CI]: 12.14-20.42), ischemic heart disease (OR 3.12, 95% CI: 2.16-4.5), female gender (OR 1.56, 95% CI: 1.22-2.00), and sudden-onset (OR 1.97, 95% CI: 1.54-2.51), were independent significant predictors of cardioembolic stroke. Conclusions: Potential cardioembolic stroke requires a comprehensive evaluation, since early classification and identification through predictors would improve effective management. (REV INVEST CLIN. 2021;73(1):23-30)

Impact on clinical outcomes and health costs of deranged potassium levels in patients with chronic cardiovascular, metabolic, and renal conditions.

INTRODUCTION AND OBJECTIVES: Potassium derangements are frequent among patients with chronic cardiovascular conditions. Studies on the associations between potassium derangements and clinical outcomes have yielded mixed findings, and the implications for health care expenditure are unknown. We assessed the population-based associations between hyperkalemia, hypokalemia and clinical outcomes and health care costs, in patients with chronic heart failure, chronic kidney disease, diabetes mellitus, hypertension, and ischemic heart disease. METHODS: Population-based, longitudinal study including up to 36 269 patients from a health care area with at least one of the above-mentioned conditions. We used administrative, hospital and primary care databases. Participants were followed up between 2015 and 2017, were aged ≥ 55 years and had at least 1 potassium measurement. Four analytic designs were used to evaluate prevalent and incident cases and the use of renin-angiotensin-aldosterone system inhibitors. RESULTS: Hyperkalemia was twice as frequent as hypokalemia. On multivariable-adjusted analyses, hyperkalemia was robustly and significantly associated with an increased risk of all-cause death (HR from Cox regression models ranging from 1.31-1.68) and with an increased odds of a yearly health care expenditure >85th percentile (OR, 1.21-1.29). Associations were even stronger in hypokalemic patients (HR for all-cause death, 1.92-2.60; OR for health care expenditure> percentile 85th, 1.81-1.85). CONCLUSIONS: Experimental studies are needed to confirm whether the prevention of potassium derangements reduces mortality and health care expenditure in these chronic conditions. Until then, our findings provide observational evidence on the potential importance of maintaining normal potassium levels.

Temporal trend of cardiorespiratory endurance in urban Catalan high school students over a 20 year period.

BACKGROUND: Physical fitness is considered an important indicator of health in adolescents. However, in recent years several studies in the scientific literature have shown a considerable lower trend and an alarming worsening of the current adolescents' physical condition when comparing with previous decades, especially in urban populations. The aim of the current study was to analyse the temporal trend in cardiorespiratory endurance (CRE) in urban Catalan adolescents over a 20-year period (1999-2019). METHODS: A cross-sectional analysis study considering the 20-m Shuttle Run test (SRT) results obtained in the last 20 years was carried out. 1,701 adolescents between 15 and 16 years old (914 boys and 787 girls) were divided into four groups, corresponding to consecutive periods of five years (Group 1: 1999-2004; Group 2: 2005-2009; Group 3: 2010-2014 and Group 4: 2015-2019). ANOVA was used to test the period effect on CRE and post hoc Bonferroni analysis was performed to test pairwise differences between groups (p < 0.05). RESULTS: Results showed a significantly lower performance in CRE in both sexes. The percentual negative difference was 0.67%, 9.6% and 7% for boys and 5.06%, 14.97% and 9.41% for girls, when comparing the performance in 20-m Shuttle Run test for the first period, respectively. CONCLUSIONS: Results suggest that the physical fitness of Catalan urban adolescents is lower in both sexes when comparing the different analysed periods of time. Therefore, CRE adolescents should be improved in order to help to protect against cardiovascular disease and other health risks in adulthood.

Cardioembolic Stroke: Risk Factors, Clinical Features, and Early Outcome in 956 Consecutive Patients.

BACKGROUND: There is little information about the early clinical features of cardioembolic stroke before complementary examinations. OBJECTIVE: The aim of this study was to identify risk factors, clinical features, and early outcomes of cardioembolic stroke. METHODS: Retrospective study based on prospectively collected data available from a university medical center hospitalbased stroke registry. Consecutive patients diagnosed with cardioembolic infarction were selected and compared to those diagnosed with an atherothrombotic stroke. Predictors of cardioembolic infarction were assessed by multivariate analysis. RESULTS: From a cohort of 4597 consecutive patients, we studied 956 patients diagnosed with cardioembolic infarction (80 years [standard deviation (SD) 9.14]; 63% women) and 945 with atherothrombotic infarction (77.01 years [SD 9.75]; 49.8% women). The univariate comparative analysis reported that advanced age (≥ 85 years), female gender, atrial fibrillation (AF), ischemic heart disease, and congestive heart failure were significantly more frequent in the cardioembolic group, whereas hypertension, diabetes, peripheral vascular disease, heavy smoking, hyperlipidemia, and previous transient ischemic attack were significant in the atherothrombotic group. In the logistic regression model, AF (odds ratio [OR] 15.75, 95% confidence interval [CI]: 12.14-20.42), ischemic heart disease (OR 3.12, 95% CI: 2.16-4.5), female gender (OR 1.56, 95% CI: 1.22-2.00), and sudden-onset (OR 1.97, 95% CI: 1.54-2.51), were independent significant predictors of cardioembolic stroke. CONCLUSIONS: Potential cardioembolic stroke requires a comprehensive evaluation, since early classification and identification through predictors would improve effective management.

Real-World Epidemiology of Potassium Derangements Among Chronic Cardiovascular, Metabolic and Renal Conditions: A Population-Based Analysis.

BACKGROUND: The aims of the present analysis are to estimate the prevalence of five key chronic cardiovascular, metabolic and renal conditions at the population level, the prevalence of renin-angiotensin-aldosterone system inhibitor (RAASI) medication use and the magnitude of potassium (K+) derangements among RAASI users. METHODS AND RESULTS: We used data from more than 375,000 individuals, 55 years of age or older, included in the population-based healthcare database of the Catalan Institute of Health between 2015 and 2017. The conditions of interest were chronic heart failure (CHF), chronic kidney disease (CKD), diabetes mellitus, ischemic heart disease and hypertension. RAASI medications included angiotensin-converting enzyme inhibitors, angiotensin II receptor blockers, mineralocorticoid receptor antagonists (MRAs) and renin inhibitors. Hyperkalemia was defined as K+ levels >5.0 mEq/L and hypokalemia as K+ <3.5 mEq/L. The prevalence of chronic cardiovascular, metabolic and renal conditions was high, and particularly that of hypertension (prevalence ranging from 48.2% to 48.9%). The use of at least one RAASI medication was almost ubiquitous in these patients (75.2-77.3%). Among RAASI users, the frequency of K+ derangements, mainly of hyperkalemia, was very noticeable (12% overall), particularly in patients with CKD or CHF, elderly individuals and users of MRAs. Hypokalemia was less frequent (1%). CONCLUSION: The high prevalence of K+ derangements, and particularly hyperkalemia, among RAASI users highlights the real-world relevance of K+ derangements, and the importance of close monitoring and management of K+ levels in routine clinical practice. This is likely to benefit a large number of patients, particularly those at higher risk.

Turning the Crisis Into an Opportunity: Digital Health Strategies Deployed During the COVID-19 Outbreak.

Digital health technologies offer significant opportunities to reshape current health care systems. From the adoption of electronic medical records to mobile health apps and other disruptive technologies, digital health solutions have promised a better quality of care at a more sustainable cost. However, the widescale adoption of these solutions is lagging behind. The most adverse scenarios often provide an opportunity to develop and test the capacity of digital health technologies to increase the efficiency of health care systems. Catalonia (Northeast Spain) is one of the most advanced regions in terms of digital health adoption across Europe. The region has a long tradition of health information exchange in the public health care sector and is currently implementing an ambitious digital health strategy. In this viewpoint, we discuss the crucial role digital health solutions play during the coronavirus disease (COVID-19) pandemic to support public health policies. We also report on the strategies currently deployed at scale during the outbreak in Catalonia.

Performance of Comprehensive Risk Adjustment for the Prediction of In-Hospital Events Using Administrative Healthcare Data: The Queralt Indices.

BACKGROUND: Accurate risk adjustment is crucial for healthcare management and benchmarking. PURPOSE: We aimed to compare the performance of classic comorbidity functions (Charlson's and Elixhauser's), of the All Patients Refined Diagnosis Related Groups (APR-DRG), and of the Queralt Indices, a family of novel, comprehensive comorbidity indices for the prediction of key clinical outcomes in hospitalized patients. MATERIAL AND METHODS: We conducted an observational, retrospective cohort study using administrative healthcare data from 156,459 hospital discharges in Catalonia (Spain) during 2018. Study outcomes were in-hospital death, long hospital stay, and intensive care unit (ICU) stay. We evaluated the performance of the following indices: Charlson's and Elixhauser's functions, Queralt's Index for secondary hospital discharge diagnoses (Queralt DxS), the overall Queralt's Index, which includes pre-existing comorbidities, in-hospital complications, and principal discharge diagnosis (Queralt Dx), and the APR-DRG. Discriminative ability was evaluated using the area under the curve (AUC), and measures of goodness of fit were also computed. Subgroup analyses were conducted by principal discharge diagnosis, by age, and type of admission. RESULTS: Queralt DxS provided relevant risk adjustment information in a larger number of patients compared to Charlson's and Elixhauser's functions, and outperformed both for the prediction of the 3 study outcomes. Queralt Dx also outperformed Charlson's and Elixhauser's indices, and yielded superior predictive ability and goodness of fit compared to APR-DRG (AUC for in-hospital death 0.95 for Queralt Dx, 0.77-0.93 for all other indices; for ICU stay 0.84 for Queralt Dx, 0.73-0.83 for all other indices). The performance of Queralt DxS was at least as good as that of the APR-DRG in most principal discharge diagnosis subgroups. CONCLUSION: Our findings suggest that risk adjustment should go beyond pre-existing comorbidities and include principal discharge diagnoses and in-hospital complications. Validation of comprehensive risk adjustment tools such as the Queralt indices in other settings is needed.

[Clinical validation of 2 morbidity groups in the primary care setting]. / Validación clínica de 2 agrupadores de morbilidad en el ámbito de atención primaria.

INTRODUCTION: Adjusted Morbidity Groups (GMAs) and the Clinical Risk Groups (CRGs) are population morbidity based stratification tools which classify patients into mutually exclusive categories. OBJETIVE: To compare the stratification provided by the GMAs, CRGs and that carried out by the evaluators according to the levels of complexity. DESIGN: Random sample stratified by morbidity risk. LOCATION: Catalonia. PARTICIPANTS: Forty paired general practitioners in the primary care, matched pairs. INTERVENTIONS: Each pair of evaluators had to review 25 clinical records. MAIN OUTPUTS: The concordance by evaluators, and between the evaluators and the results obtained by the 2 morbidity tools were evaluated according to the kappa index, sensitivity, specificity, and positive and negative predicted values. RESULTS: The concordance between general practitioners pairs was around the kappa value 0.75 (mean value=0.67), between the GMA and the evaluators was similar (mean value=0.63), and higher than for the CRG (mean value=0.35). The general practitioners gave a score of 7.5 over 10 to both tools, although for the most complex strata, according to the professionals' assignment, the GMA obtained better scores than the CRGs. The professionals preferred the GMAs over the CRGs. These differences increased with the complexity level of the patients according to clinical criteria. Overall, less than 2% of serious classification errors were found by both groupers. CONCLUSION: The evaluators considered that both grouping systems classified the studied population satisfactorily, although the GMAs showed a better performance for more complex strata. In addition, the clinical raters preferred the GMAs in most cases.

Predictive clinical features of cardioembolic infarction in patients aged 85 years and older.

OBJECTIVE: To assess predictive clinical factors of cardioembolic infarction in very old patients (85 years of age and older). METHODS: Prospective hospital-based stroke registry ("The Sagrat Cor Hospital of Barcelona Stroke Registry") is an acute-care teaching hospital in Barcelona, Catalonia, Spain. From 956 first-ever cardioembolic stroke patients included in the stroke registry over a 24-year period, 639 were younger than 85 years of age and 317 were 85 years or older (mean age: 88.9 years). Demographics, clinical characteristics, risk factors and early outcome were compared. Predictors of cardioembolic infarction in the oldest age group were assessed by multivariate analyses. RESULTS: In a logistic regression model based on demographics, risk factors, clinical features and complications, female gender (odds ratio [OR] = 1.74, 95% confidence interval [CI]: 1.27-2.39), heart failure (OR = 2.27, 95% CI: 1.46-3.56), altered consciousness (OR = 1.76, 95% CI: 1.28-2.42), and infectious complications (OR = 2.01, 95% CI: 1.39-2.91) were predictors of cardioembolic stroke in the oldest age group. By contrast, heavy smoking, heart valve disease, hypertension, headache, early seizures, sensory deficit, and involvement of the posterior cerebral artery were independently associated with cardioembolic stroke in the younger group. CONCLUSIONS: Identification of a differential clinical profile of cardioembolic stroke between patients aged 85 years or more and those younger than 85 years helps clinicians to the optimal management of ischemic infarction in the oldest segment of the population.

Five-Year Incidence of Hospital-Based Emergencies Related to Acute Recreational Intoxication in Minors.

BACKGROUND: Alcohol or other drug (AOD) intoxication in minors is a public health challenge. We characterized underage patients admitted to an emergency department (ED) with acute, recreational AOD intoxication. METHODS: We conducted a 5-year (2012 to 2016) analysis of minors admitted to the only hospital-based pediatric ED in an urban area. Episodes of AOD intoxication were selected using ICD-9-CM diagnostic codes. Sociodemographics, substance use and clinical characteristics, laboratory parameters, and discharge dispositions were collected through the revision of clinical charts. RESULTS: A total of 266 admissions related to recreational AOD intoxication in 258 patients occurred during the study period. Among the 258 patients, 127 (49.2%) were men, median age 16 years [IQR: 15 to 17 years], and 234 (90.7%) of episodes were alcohol-related. At admission, 202/256 (78.9%) patients had a Glasgow Coma Scale ≥ 13 points, the median systolic and diastolic blood pressure was 109 mmHg (IQR: 101 to 118 mmHg) and 67 mmHg (IQR: 60 to 73 mmHg), respectively, and the median blood glucose level was 112 mg/dl (IQR: 99 to 127 mg/dl). Only 72/258 (27.9%) patients underwent urine screening (22/72 (30.5%) were positive for cannabis), and only 30/258 (11.6%) were tested for blood ethanol (median: 185 mg/dl, IQR: 163 to 240 mg/dl). There was a trend in admissions occurring early in the morning of weekend days, and 249 (96.5%) patients were discharged home the day of admission. CONCLUSIONS: Though the severity of AOD intoxication seems to be mild to moderate, assessment of substance exposure is low and may underestimate polydrug use in underage populations.

[Validity of adjusted morbidity groups with respect to clinical risk groups in the field of primary care]. / Validez de los grupos de morbilidad ajustados respecto a los clinical risk groups en el ámbito de la atención primaria.

OBJECTIVE: To compare the performance in terms of goodness of fit and explanatory power of 2morbidity groupers in primary care (PC): adjusted morbidity groups (AMG) and clinical risk groups (CRG). DESIGN: Cross-sectional study. LOCATION: PC in the Catalan Institute for the Health (CIH), Catalonia, Spain. PARTICIPANTS: Population allocated in primary care centers of the CIH for the year 2014. MAIN MEASUREMENTS: Three indicators of interest are analyzed such as urgent hospitalization, number of visits and spending in pharmacy. A stratified analysis by centers is applied adjusting generalized lineal models from the variables age, sex and morbidity grouping to explain each one of the 3variables of interest. The statistical measures to analyze the performance of the different models applied are the Akaike index, the Bayes index and the pseudo-variability explained by deviance change. RESULTS: The results show that in the area of the primary care the explanatory power of the AMGs is higher to that offered by the CRGs, especially for the case of the visits and the pharmacy. CONCLUSIONS: The performance of GMAs in the area of the CIH PC is higher than that shown by the CRGs.

Perfil clínico diferencial entre los infartos lacunares y los infartos cerebrales aterotrombóticos / Differential clinical profile of lacunar infarcts compared to atherothrombotic brain infarcts

Aims and objectives: The present study makes a comparative analysis between the clinical profile of lacunar infarcts (LI) and that of atherothrombotic brain infarcts (ABI). Methods: Hospital-based descriptive study of 1809 consecutive patients admitted over a period of 24 years with a diagnosis of lacunar cerebral infarction (n = 864) or atherothrombotic cerebral infarction (n = 945). A comparative analysis of the demographic data, cerebral vascular risk factors, clinical data and hospital evolution between both subtypes of cerebral infarction was performed using a univariate and multivariate statistical methodology. Results: LI accounted for 26.5% and ABI for 28.9% of all cerebral infarctions in the registry. The variables directly and independently associated with ABI were: ischemic heart disease, previous transient ischemic attack, previous cerebral infarction, peripheral vascular disease, anticoagulant therapy, age > 85 years, vegetative symptoms, decreased level of consciousness, sensory deficit, visual deficit, speech disorders, and neurological, respiratory and urinary complications during hospital admission. In contrast, the absence of neurological symptoms at hospital discharge was directly associated with LI. Conclusions: LI and ABI have a distinct clinical profile. The best functional prognosis of LI during the acute phase of the disease is characteristic. In contrast, ICAs have a higher atherosclerotic burden and a worse prognosis.

Fundamentos y objetivo: El objetivo del estudio es efectuar un análisis comparativo entre el perfil clínico de los infartos lacunares (IL) y el perfil de los infartos cerebrales aterotrombóticos (ICA). Métodos: Estudio hospitalario descriptivo de 1809 pacientes consecutivos ingresados durante un período de 24 años con el diagnóstico de infarto cerebral de tipo lacunar (n = 864) o por infarto cerebral aterotrombótico (ICA) (n = 945). Se realizó un análisis comparativo de los datos demográficos, factores de riesgo vascular cerebral, datos clínicos y de evolución hospitalaria utilizando una metodología estadística univariada y, posteriormente, multivariada. Resultados: Los IL representaron el 26.5% y los ICA el 28.9% del total de infartos cerebrales del registro. Las variables asociadas directamente y de forma independiente con los ICA fueron: cardiopatía isquémica, ataque isquémico transitorio previo, infarto cerebral previo, enfermedad vascular periférica, uso de anticoagulantes, edad > 85 años, síntomas vegetativos, disminución del nivel de conciencia, déficit sensitivo, déficit visual, trastornos del habla y complicaciones neurológicas, respiratorias y urinarias durante el ingreso hospitalario. En cambio, la ausencia de sintomatología neurológica al alta se asoció directamente con los IL. Conclusiones: Los IL y los ICA tienen un perfil clínico diferenciado. Es característico el mejor pronóstico funcional de los IL durante la fase aguda de la enfermedad. En cambio, los ICA presentan mayor carga aterosclerótica y peor pronóstico evolutivo.

[Stroke in young adults: incidence and clinical picture in 280 patients according to their aetiological subtype]. / Ictus en adultos jóvenes: rasgos clínicos y frecuencia de presentación en 280 pacientes según el subtipo etiológico.

BACKGROUND AND OBJECTIVE: To assess the clinical features and incidence rate of stroke in young adults (less than 55 years of age). METHODS: Hospital-based descriptive study of 280 young inpatients consecutively admitted for stroke over a period of 24 years. We conducted a comparison with the remaining 4,312 patients admitted for stroke. RESULTS: Stroke in young adults represented 6.1% of all strokes, 5.7% of transient ischaemic attacks, 5.8% of cerebral infarctions and 8.4% of brain haemorrhages. However, reported minimal frequency of cardioembolic (2.1%) and atherothrombotic (3.4%) infarctions, accounted for 5.9% of lacunar and for 10.7% of essential infarctions and showed a maximum frequency in those infarctions of unusual aetiology (36%). Factors independently associated with stroke in young adults were cigarette smoking (OR 4.23; 95% CI 3.02-5.93; P=.000), unusual aetiology (OR 4.97; 95% CI 3.15-7.84; P=.000), headache (OR 4.57; 95% CI 2.59-8.07; P=.000), alcohol abuse (OR 3.93; 95% CI 2.46-6.29; P=.000), oral contraceptives (OR 14.07; 95% CI 2.37-83.40; P=.004), atrial fibrillation (OR 0.15; 95% CI 0.08-0.28; P=.000), arterial hypertension (OR 0.43; 95% CI 0.33-0.57; P=.000), COPD (OR 0.20; 95% CI 0.09-0.44; P=.000), atherothrombotic infarction (OR 0.51; 95% CI 0.34-0.77; P=.001), female sex (OR 0.71; 95% CI 0.52-0.97; P=.029), diabetes mellitus (OR 0.66; 95% CI 0.46-0.98; P=.030), ischaemic heart disease (OR 0.56; 95% CI 0.33-0.95; P=.032) and intermittent claudication (OR 0.48; 95% CI 0.24-0.94; P=.033). CONCLUSIONS: Stroke in young adults is infrequent (6.1% of the total), but represents the highest frequency of cerebral infarcts of unusual aetiology (36%). We conclude that stroke in younger patients presents its own and differentiated clinical profile.

Clinical characteristics of acute lacunar stroke in young adults.

INTRODUCTION: Acute lacunar stroke in subjects under 55 years of age has been poorly characterized. METHODS: We assessed the clinical features of lacunar stroke in 51 patients aged ≤55 years (84.5% men, mean standard deviation [SD] age 49.8 [5.2] years) collected from a prospective hospital-based stroke registry in Barcelona, Catalonia, Spain. RESULTS: This subset of young lacunar stroke patients accounted for only 5.2% of all lacunar strokes, 1.2% of all ischemic strokes, and 1.1% of all acute strokes included in the registry over a 24-year period. In the multivariate analysis, factors independently associated with acute lacunar stroke in patients aged ≤55 years were alcohol consumption (>60 g/day) (odds ratio [OR] = 6.67), heavy smoking (>20 cigarettes/day) (OR = 3.02), obesity (OR = 2.81), essential etiology (OR = 2.73), and headache at stroke onset (OR = 2.45). CONCLUSION: Characterization of the clinical profile of acute lacunar stroke in younger patients contributes to a better knowledge of the full clinical expression of this ischemic stroke subtype.