External Validation and Recalibration of a Mortality Prediction Model for Patients with Ischaemic Stroke

BACKGROUND

Stroke is a highly prevalent disease that can provoke severe disability. We evaluate a predictive model based on the Minimum Basic Data Set (MBDS) compiled by the Spain Health Ministry, obtained for the period 2008-2012 for patients with ischaemic stroke in Spain, to establish the model's validity and to optimise its calibration. The MBDS is the main clinical-administrative database for hospitalisations recorded in Spain, and to our knowledge, no predictive models for stroke mortality have previously been developed using this resource. The main study aim is to perform an external validation and recalibration of the coefficients of this predictive model with respect to a chronologically later cohort.

MATERIAL AND METHODS

External validation (testing the model on a different cohort to assess its performance) and recalibration (validation with optimisation of model coefficients) were performed using the MBDS for patients admitted for ischaemic stroke in the period 2016-2018. A cohort study was designed, in which a recalibrated model was obtained by applying the variables of the original model without their coefficients. The variables from the original model were then applied to the subsequent cohort, together with the coefficients from the initial model. The areas under the curve (AUC) of the recalibration and the external validation procedure were compared.

RESULTS

The recalibrated model produced an AUC of 0.743 and was composed of the following variables: age (odds ratio, OR:1.073), female sex (OR:1.143), ischaemic heart disease (OR:1.192), hypertension (OR:0.719), atrial fibrillation (OR:1.414), hyperlipidaemia (OR:0.652), heart failure (OR:2.133) and posterior circulation stroke (OR: 0.755). External validation produced an AUC of 0.726.

CONCLUSIONS

The recalibrated clinical model thus obtained presented moderate-high discriminant ability and was generalisable to predict death for patients with ischaemic stroke. Rigorous external validation slightly decreased the AUC but confirmed the validity of the baseline model for the chronologically later cohort.

Epidemiological Situation of High-Prevalence Non-Communicable Diseases in Spain: A Systematic Review

High-prevalence non-communicable diseases (HNCDs) are an ongoing global public health problem, posing a risk to the continuity of the 2030 Agenda for Sustainable Development. The aim of this study is to describe the current situation in Spain regarding certain HNCDs, namely, ischaemic heart disease, type 2 diabetes mellitus and colorectal cancer, including their prevalence and incidence in recent years. A systematic review was conducted between October 2022 and February 2023 using the MEDLINE, ProQuest and Scopus databases. After an exhaustive search, a total of thirty-four articles were included, comprising fourteen articles on colorectal cancer, seven on ischaemic heart disease and thirteen on diabetes mellitus type 2. The main topics included risk factors, lifestyles, mortality and incidence, the importance of screening and patient empowerment. On analysing each disease, it can be gleaned that risk factors and lifestyle impact the incidence, prevalence and mortality of the diseases studied. In addition, responsible human behaviour, associated with lifestyle factors, is related to the occurrence of these three diseases.

Osteopathic Manual Therapy for Infant Colic: A Randomised Clinical Trial

BACKGROUND

Infant colic is a multifactorial syndrome for which various therapeutic strategies have been proposed. In this study, we evaluate the effectiveness of osteopathic manual therapy in treating symptoms related to infant colic.

METHOD

A prospective, randomised, blinded clinical trial was conducted of patients diagnosed with infant colic. The treatment group were given osteopathic manual therapy, and their parents received two sessions of counselling. The control group received no such therapy, but their parents attended the same counselling sessions. The non-parametric Mann-Whitney U test was applied to determine whether there were significant differences between the groups for the numerical variables considered. For the qualitative variables, Fisher's exact test was used. The threshold assumed for statistical significance was 0.05.

RESULTS

A total of 42 babies were assigned to each group. Those in the experimental group presented less severe infant colic with a trend towards statistical significance after the first session (p = 0.09). In sucking, excretion, eructation and gas there were no significant differences between the groups. Crying was a statistically significant dimension both after the first intervention (p = 0.03) and two weeks after (p = 0.04). Regurgitation values were significantly lower in the experimental group during the three weeks of follow-up (p = 0.05). Values for sleep were lower in the experimental group, but the differences were not statistically significant. In both groups, colic severity decreased over time, with no side effects.

CONCLUSIONS

Treatment with osteopathic manual therapy alleviates the symptoms of infant colic and could be recommended for this purpose from the onset of the condition.

Socio-economic inequalities in lung cancer mortality in Spain: a nation-wide study using area-based deprivation

BACKGROUND

Lung cancer is the main cause of cancer mortality worldwide and in Spain. Several previous studies have documented socio-economic inequalities in lung cancer mortality but these have focused on specific provinces or cities. The goal of this study was to describe lung cancer mortality in Spain by sex as a function of socio-economic deprivation.

METHODS

We analysed all registered deaths from lung cancer during the period 2011-2017 in Spain. Mortality data was obtained from the National Institute of Statistics, and socio-economic level was measured with the small-area deprivation index developed by the Spanish Society of Epidemiology, with the census tract of residence at the time of death as the unit of analysis. We computed crude and age-standardized rates per 100,000 inhabitants by sex, deprivation quintile, and type of municipality (rural, semi-rural, urban) considering the 2013 European standard population (ASR-E). We further calculated ASR-E ratios between the most deprived (Q5) and the least deprived (Q1) areas and mapped census tract smoothed standardized lung cancer mortality ratios by sex.

RESULTS

We observed 148,425 lung cancer deaths (80.7% in men), with 73.5 deaths per 100,000 men and 17.1 deaths per 100,000 women. Deaths from lung cancer in men were five times more frequent than in women (ASR-E ratio = 5.3). Women residing in the least deprived areas had higher mortality from lung cancer (ASR-E = 22.2), compared to women residing in the most deprived areas (ASR-E = 13.2), with a clear gradient among the quintiles of deprivation. For men, this pattern was reversed, with the highest mortality occurring in areas of lower socio-economic level (ASR-E = 99.0 in Q5 vs. ASR-E = 86.6 in Q1). These socio-economic inequalities remained fairly stable over time and across urban and rural areas.

CONCLUSIONS

Socio-economic status is strongly related to lung cancer mortality, showing opposite patterns in men and women, such that mortality is highest in women residing in the least deprived areas and men residing in the most deprived areas. Systematic surveillance of lung cancer mortality by socio-economic status may facilitate the assessment of public health interventions aimed at mitigating cancer inequalities in Spain.

Structural Model of Biomedical and Contextual Factors Predicting In-Hospital Mortality due to Heart Failure

Background: Among the clinical predictors of a heart failure (HF) prognosis, different personal factors have been established in previous research, mainly age, gender, anemia, renal insufficiency and diabetes, as well as mediators (pulmonary embolism, hypertension, chronic obstructive pulmonary disease (COPD), arrhythmias and dyslipidemia). We do not know the role played by contextual and individual factors in the prediction of in-hospital mortality. Methods: The present study has added hospital and management factors (year, type of hospital, length of stay, number of diagnoses and procedures, and readmissions) in predicting exitus to establish a structural predictive model. The project was approved by the Ethics Committee of the province of Almeria. Results: A total of 529,606 subjects participated, through databases of the Spanish National Health System. A predictive model was constructed using correlation analysis (SPSS 24.0) and structural equation models (SEM) analysis (AMOS 20.0) that met the appropriate statistical values (chi-square, usually fit indices and the root-mean-square error approximation) which met the criteria of statistical significance. Individual factors, such as age, gender and chronic obstructive pulmonary disease, were found to positively predict mortality risk. Isolated contextual factors (hospitals with a greater number of beds, especially, and also the number of procedures performed, which negatively predicted the risk of death. Conclusions: It was, therefore, possible to introduce contextual variables to explain the behavior of mortality in patients with HF. The size or level of large hospital complexes, as well as procedural effort, are key contextual variables in estimating the risk of mortality in HF.

Development of a Score to Predict the Paroxysmal Atrial Fibrillation in Stroke Patients: The Screening for Atrial Fibrillation Scale

Background and Purpose

An individual selection of ischemic stroke patients at higher risk of atrial fibrillation (AF) might increase the diagnostic yield of prolonged cardiac monitoring and render it cost-effective.

Methods

The clinical, laboratory, and brain/cardiac imaging characteristics of consecutive ischemic stroke patients without documented AF were recorded. All patients underwent at least 72 h of cardiac monitoring unless AF was diagnosed before, transthoracic echocardiogram, blood biomarkers, and intracranial vessels imaging. A predictive grading was developed by logistic regression analysis, the screening for atrial fibrillation scale (SAFE).

Results

A total of 460 stroke patients were analyzed to develop the SAFE scale, a 7-items score (possible total score 0–10): age ≥ 65 years (2 points); history of chronic obstructive pulmonary disease or obstructive sleep apnea (1 point); thyroid disease (1 point); NT-proBNP ≥ 250 pg/ml (2 points); left atrial enlargement (2 points); cortical topography of stroke, including hemispheric or cerebellar cortex (1 point); and intracranial large vessel occlusion (1 point). A score = 5 identified patients with paroxysmal AF with a sensitivity of 83% and a specificity of 80%.

Conclusion

Screening for atrial fibrillation scale (SAFE) is a novel and simple strategy for selecting ischemic stroke patients at higher risk of having AF who can benefit from a more thorough etiological evaluation. External validation of SAFE in a multicenter study, with a larger number of patients, is warranted.

User Perception of New E-Health Challenges: Implications for the Care Process

Establishing new models of health care and new forms of professional health-patient communication are lines of development in the field of health care. The onset of the COVID-19 pandemic has accelerated the evolution of information systems and communication platforms to guarantee continuity of care and compliance with social distancing measures. Our objective in this article was, firstly, to know the expectations of patients treated in the healthcare processes "cervical cancer" and "pregnancy, childbirth and puerperium" regarding online access to their clinical history and follow-up in the care process. Secondly, we analyzed times involved in the cervical cancer process to find points of improvement in waiting times when digital tools were used for communication with the patient. A descriptive cross-sectional study was carried out on 120 women included in any of the aforementioned processes using a hetero-administered questionnaire. The analysis of times was carried out using the Business Intelligence tool Biwer Analytics^®. Patients showed interest in knowing their results before the appointment with the doctor and would avoid appointments with their doctor if the right conditions were met. Most recognized that this action would relieve their restlessness and anxiety. They were highly interested in receiving recommendations to improve their health status. It was estimated that there was room for improvement in the times involved in the care process, which could be shortened by 34.48 days if communication of results were through digital information access technologies. This would favor the optimization of time, resources and user perception.

Predictive Model and Mortality Risk Score during Admission for Ischaemic Stroke with Conservative Treatment

Background: Stroke is the second cause of mortality worldwide and the first in women. The aim of this study is to develop a predictive model to estimate the risk of mortality in the admission of patients who have not received reperfusion treatment. Methods: A retrospective cohort study was conducted of a clinical–administrative database, reflecting all cases of non-reperfused ischaemic stroke admitted to Spanish hospitals during the period 2008–2012. A predictive model based on logistic regression was developed on a training cohort and later validated by the “hold-out” method. Complementary machine learning techniques were also explored. Results: The resulting model had the following nine variables, all readily obtainable during initial care. Age (OR 1.069), female sex (OR 1.202), readmission (OR 2.008), hypertension (OR 0.726), diabetes (OR 1.105), atrial fibrillation (OR 1.537), dyslipidaemia (0.638), heart failure (OR 1.518) and neurological symptoms suggestive of posterior fossa involvement (OR 2.639). The predictability was moderate (AUC 0.742, 95% CI: 0.737–0.747), with good visual calibration; Pearson’s chi-square test revealed non-significant calibration. An easily consulted risk score was prepared. Conclusions: It is possible to create a predictive model of mortality for patients with ischaemic stroke from which important advances can be made towards optimising the quality and efficiency of care. The model results are available within a few minutes of admission and would provide a valuable complementary resource for the neurologist.

[Evaluation of treatment with intra-articular injections in osteoarticular pathology of the shoulder in primary care]

MAIN OBJECTIVE

To evaluate the clinical response at 24weeks after injection, measured as pain relief and functional recovery, in painful shoulder syndrome (PSS) in primary care (PC).

DESIGN

Longitudinal case series with injection treatment in the scapulohumeral joint, describing functionality and pain evolution before and at 24weeks post injection.

LOCATION

Non-urban primary care centres.

PARTICIPANTS

Patients with osteoarticular shoulder pathology susceptible to injection, failure of pharmacological treatment and rating on the visual analogue scale (VAS) ≥4 or constant score (CS) ≤70.

INTERVENTIONS

Intra-articular injection of corticosteroid and local anaesthetic into the scapulohumeral joint, describing its evolution at 1, 4, 12 and 24weeks post injection.

MAIN MEASUREMENTS

Infiltration response according to EVA before and after, CS before and after, number of infiltrations, side effects, temporary inability to work (TIL).

RESULTS

Sixty-six patients receiving injection, mean age 51.1years (SD 14.7), 57.6% were women and 63.3% were injection in the right shoulder. A 22.7% required TIL and were discharged with a median of 14days (range 7-56days). They required an injection (80.3%) and the most frequent injection pathology was rotator cuff tendinitis (90.9%). They suffered mild side effects (9.4%). We found a decrease in pain from severe to mild and a functional improvement from poor to good. The variables: being retired (OR: 37.82, P=.001) and having an EVA score prior to injection >8 (OR: 15.67, P=.055, almost significant) were associated with poor response.

CONCLUSIONS

Intra-articular administration of corticosteroids in PSS reduces pain and provides functional improvement after the first week after injection, and is maintained in the long term. This allows a quick recovery to work after an injection at two weeks reducing recovery time by 50%, with few side effects.

Glycemic index, glycemic load, and risk of coronary heart disease: a pan-European cohort study

BACKGROUND

High carbohydrate intake raises blood triglycerides, glucose, and insulin; reduces HDLs; and may increase risk of coronary heart disease (CHD). Epidemiological studies indicate that high dietary glycemic index (GI) and glycemic load (GL) are associated with increased CHD risk.

OBJECTIVES

The aim of this study was to determine whether dietary GI, GL, and available carbohydrates are associated with CHD risk in both sexes.

METHODS

This large prospective study-the European Prospective Investigation into Cancer and Nutrition-consisted of 338,325 participants who completed a dietary questionnaire. HRs with 95% CIs for a CHD event, in relation to intake of GI, GL, and carbohydrates, were estimated using covariate-adjusted Cox proportional hazard models.

RESULTS

After 12.8 y (median), 6378 participants had experienced a CHD event. High GL was associated with greater CHD risk [HR 1.16 (95% CI: 1.02, 1.31) highest vs. lowest quintile, p-trend 0.035; HR 1.18 (95% CI: 1.07, 1.29) per 50 g/day of GL intake]. The association between GL and CHD risk was evident in subjects with BMI (in kg/m2) ≥25 [HR: 1.22 (95% CI: 1.11, 1.35) per 50 g/d] but not in those with BMI <25 [HR: 1.09 (95% CI: 0.98, 1.22) per 50 g/d) (P-interaction = 0.022). The GL-CHD association did not differ between men [HR: 1.19 (95% CI: 1.08, 1.30) per 50 g/d] and women [HR: 1.22 (95% CI: 1.07, 1.40) per 50 g/d] (test for interaction not significant). GI was associated with CHD risk only in the continuous model [HR: 1.04 (95% CI: 1.00, 1.08) per 5 units/d]. High available carbohydrate was associated with greater CHD risk [HR: 1.11 (95% CI: 1.03, 1.18) per 50 g/d]. High sugar intake was associated with greater CHD risk [HR: 1.09 (95% CI: 1.02, 1.17) per 50 g/d].

CONCLUSIONS

This large pan-European study provides robust additional support for the hypothesis that a diet that induces a high glucose response is associated with greater CHD risk.

Effects of Levels of Self-Regulation and Regulatory Teaching on Strategies for Coping With Academic Stress in Undergraduate Students

The SRL vs. ERL TheoryTM predicts that regulation-related factors in the student and in the context combine to determine the student's levels in emotional variables, stress, and coping strategies. The objective of the present research was to test this prediction in the aspect of coping strategies. Our hypothesis posed that students' level of self-regulation (low-medium-high), in combination with the level of regulation promoted in teaching (low-medium-high), would determine the type of strategies students used to cope with academic stress; the interaction of these levels would focus coping strategies either toward emotions or toward the problem. A total of 944 university students completed validated questionnaires on self-regulation, regulatory teaching, and coping strategies, using an online tool. ANOVAs and MANOVAs (3 × 1; 3 × 3; 5 × 1) were carried out, in a quasi-experimental design by selection. Level of self-regulation and level of regulatory teaching both had a significant effect on the type of coping strategies used. The most important finding was that the combined level of self-regulation and external regulation, on a five-level scale or heuristic, predicted the type of coping strategies that were used. In conclusion, the fact that this combination can predict type of coping strategies used by the student lends empirical support to the initial theory. Implications for the teaching-learning process at university and for students' emotional health are discussed.

Structural Equation Model (SEM) of Stroke Mortality in Spanish Inpatient Hospital Settings: The Role of Individual and Contextual Factors

Introduction: Traditionally, predictive models of in-hospital mortality in ischemic stroke have focused on individual patient variables, to the neglect of in-hospital contextual variables. In addition, frequently used scores are betters predictors of risk of sequelae than mortality, and, to date, the use of structural equations in elaborating such measures has only been anecdotal.

Aims: The aim of this paper was to analyze the joint predictive weight of the following: (1) individual factors (age, gender, obesity, and epilepsy) on the mediating factors (arrhythmias, dyslipidemia, hypertension), and ultimately death (exitus); (2) contextual in-hospital factors (year and existence of a stroke unit) on the mediating factors (number of diagnoses, procedures and length of stay, and re-admission), as determinants of death; and (3) certain factors in predicting others.

Material and Methods: Retrospective cohort study through observational analysis of all hospital stays of Diagnosis Related Group (DRG) 14, non-lysed ischemic stroke, during the time period 2008–2012. The sample consisted of a total of 186,245 hospital stays, taken from the Minimum Basic Data Set (MBDS) upon discharge from Spanish hospitals. MANOVAs were carried out to establish the linear effect of certain variables on others. These formed the basis for building the Structural Equation Model (SEM), with the corresponding parameters and restrictive indicators.

Results: A consistent model of causal predictive relationships between the postulated variables was obtained. One of the most interesting effects was the predictive value of contextual variables on individual variables, especially the indirect effect of the existence of stroke units on reducing number of procedures, readmission and in-hospital mortality.

Conclusion: Contextual variables, and specifically the availability of stroke units, made a positive impact on individual variables that affect prognosis and mortality in ischemic stroke. Moreover, it is feasible to determine this impact through the use of structural equation methodology. We analyze the methodological and clinical implications of this type of study for hospital policies.

Spatial and temporal variations in Spain in the standardised ratio of in-hospital mortality due to colorectal cancer, 2008-2014

Background

Colorectal cancer (CRC) is the second cause of tumour mortality in Spain and Europe. To date, no studies have been conducted in Spain to evaluate the spatial and temporal distribution of the excess risk of death during hospitalisation for CRC.

Methods

A cohort was constructed of all episodes of hospitalisation in Spain due to CRC (codes 153 and 154 of the International Classification of Diseases, 9th edition, Clinical Modification) during the period 2008–2014, based on the minimum basic data set published by the Ministry of Health. Mortality ratios were calculated per region for each of the years analyzed (spatial or cross-sectional analysis) and during the overall study period, for each region independently (temporal or longitudinal analysis). In the first of these analyses, particular note was taken of the regions and years in which the limits of two and three standard deviations were exceeded.

Results

Two hundred and fifty eight thousand, nine hundred and twenty seven episodes of CRC were analysed. The patients were predominantly male (60.6%), with an average hospital stay of 13.16 days. Half underwent surgery during admission and on average presented more than six diagnoses at discharge. The spatial analysis revealed mortality ratios that deviated by at least three standard deviations in the following regions: Islas Canarias, Asturias, Valencia, Extremadura, País Vasco and Andalucía. The longitudinal analysis showed that most regions presented one or more years when CRC mortality was at least 15% higher than expected during the period; outstanding in this respect were Asturias, Navarra and La Rioja, where this excess risk was detected in at least 2 years.

Conclusions

Geographic and temporal patterns of the distribution of the excess risk of mortality from CRC in Spain are described using SMRs. We conclude that during the study period, the geographic pattern of mortality in Spain did not coincide with the excess risk of mortality calculated using the SMR method described by Jarman and Foster. This method of risk estimation can be a useful tool for the study of mortality risk and its spatial variations.

Influence of psychological variables in morbidly obese patients undergoing bariatric surgery after 24 months of evolution

BACKGROUND

Bariatric surgery is considered a more effective means of achieving weight loss than non-surgical options in morbid obesity. Rates of failure or relapse range from 20 to 30%. The study aims to analyse the influence of psychological variables (self-esteem, social support, coping strategies and personality) in the maintenance of weight loss after bariatric surgery.

METHODS

A cohort study was conducted involving 64 patients undergoing bariatric surgery for 24 months. At the end of the follow-up period, patients were divided into 2sub-cohorts classified as successes or failures. Success or favorable development was considered when the value of percent excess weight loss was 50 or higher.

RESULTS

No statistically significant differences were observed between the 2groups in any variable studied. All patients had high self-esteem (87,3 those who failed and 88,1 those who are successful) and social support (90,2 and 90,9). Patients who succeed presented higher scores for cognitive restructuring (57,1) and were more introverted (47,1), while those who failed scored more highly in desiderative thinking (65,7) and were more prone to aggression (50,7) and neuroticism (51,7).

CONCLUSIONS

High self-esteem and social support does not guarantee successful treatment. The groups differed in how they coped with obesity but the data obtained do not justify the weight evolution. In the absence of psychopathology, personality trait variability between patients is insufficient to predict the results.

Serotonin syndrome probably triggered by a morphine-phenelzine interaction

Serotonin syndrome is a potentially life-threatening condition caused by excessive central and peripheral stimulation of serotonin brainstem receptors, usually triggered by inadvertent interactions between agents with serotonergic activity. Evidence supporting an association between nonserotonergic opiates, such as oxycodone or morphine, and serotonin syndrome is very limited and even contradictory. In this case report, we describe a patient who developed serotonergic-adverse effects likely precipitated by an interaction between morphine and phenelzine. A 57-year-old woman presented to the emergency department with complaints of increasing visual hallucinations, restlessness, photophobia, dizziness, neck stiffness, occipital headache, confusion, sweating, tachycardia, and nausea over the previous week. On admission, her blood pressure was 185/65 mm Hg, and clonus was noted in the lower extremities. The patient was hospitalized 10 days earlier for cellulitis of the left breast secondary to a left mastectomy 5 months earlier, and a short course of oral morphine was prescribed for pain control. Her routine medications consisted of aspirin, atorvastatin, bisoprolol, clopidogrel, gabapentin, omeprazole, phenelzine, and ramipril. Supportive measures were initiated on admission. Phenelzine and morphine were discontinued immediately, leading to a progressive resolution of symptoms over the next 48 hours. Phenelzine was restarted on discharge without further complications. Use of the Drug Interaction Probability Scale indicated a probable relationship (score of 6) between the patient's development of serotonin syndrome and the combination of morphine and phenelzine. The mechanism underlying this interaction, however, remains unclear and warrants further investigation. Clinicians should carefully weigh the risk and benefits of initiating morphine in patients taking monoamine oxidase inhibitors or any other serotonin-enhancing drugs.

[Economics and equity in urgency and emergency care]

The financial sustainability of public health systems (PHS) is currently threatened by population growth, increased prevalence of chronic conditions and disabilities, inequality in access and use of resources, zero cost delivery and global economic crisis. The emergency department (ED) is one for which demand is highest--without relation to the health model--because disease becomes established in disadvantaged socio-demographic areas and inequalities, hyperconsumption and decision making more closely linked to the user are maintained. The medical device of ED is a multiple one and its diverse product lines make it difficult to measure. This review discusses the need to deploy measurement tools in ED, where there are high direct costs--primarily structural--and other variables related to the activity, where the marginal cost is higher than the average and there is no economy of scale in such interventions. The possible mechanisms of private copayment in financing the supply of EDs are also studied, showing their advantages and disadvantages, with the conclusion that they are not recommendable--due to their scarce fund raising and deterrent capacity, which is why fundamental strategic changes in the management of these resources are needed.

[Prevalence of processes and pathologies in emergency hospital care]

OBJECTIVES

To study the behavioural differences between scheduled and emergency admissions in the processes most prevalent in Spanish hospitals and their relationship with the age of patients, comparing 2002 and 2007.

METHODS

Observational and descriptive design for those years. Diagnostic related groups (DRGs) were classified into high prevalence (the 25 most frequent) and the rest; four subgroups were prepared according to this (high or low) and admission (elective or not). Mean length of stay was analyzed, together with relative weight, number of diagnoses and procedures and mortality by age, using the Student and/or ANOVA tests for quantitative variables and Pearson's chi(2) qualitative comparison of means and proportions for tabular data, assuming statistical significance at p <0.05.

RESULTS

The high prevalence and emergency admission subgroup has higher age, ratio of males, mean length of stay, mortality, number of diagnoses and procedures (all p <0.0001), in both 2002 and 2007. The complexity and resource consumption measured by such variables peaks in the 65-69 and 70-74 cohorts respectively, with emergency admission.

CONCLUSIONS

There are clear differences between the processes according to their prevalence and accessibility; priority must be given to knowledge and information on the most frequent and urgent admissions to improve the effectiveness, efficiency and quality.

Search of a topological pattern to evaluate toxicity of heterogeneous compounds

Molecular connectivity has been applied to the search of mathematical models able to predict the carcinogenic and teratogenic activity of a wide group of structurally heterogeneous compounds. Through the linear discriminant analysis and the diagrams of distribution of pharmacological activity, the classification criteria that minimizes the percentage of error are established. The easiness and speed of the calculation of the descriptors used in this work make the models developed useful in data bases containing a huge number of compounds.