Bienvenido Barreiro

Risk Factors for Hospital Readmission in Patients with Chronic Obstructive Pulmonary Disease

Background: Hospital readmissions for acute exacerbation of chronic obstructive pulmonary disease (COPD) are one of the leading causes of healthcare expenditures worldwide. Objectives: To identify risk factors for hospital readmission in COPD patients. Methods:We prospectively evaluated 129 consecutive patients hospitalized for acute exacerbation of COPD. Clinical, spirometric and arterial blood gas variables were measured during hospitalization. Socioeconomic characteristics, comorbidity, dyspnea, functional dependence, depression, social support and quality of life were also analyzed. Readmission was defined as one or more hospitalizations in the following year. Results:During the follow-up period, 75 (58.5%) patients were readmitted. In bivariate analysis, readmission was associated with previous hospitalization for COPD in the past year, dyspnea scale, PaCO2 at discharge, depression, cor pulmonale, chronic domiciliary oxygen and quality of life measured by the St. George’s Respiratory Questionnaire. In multivariate analysis, the best predictor of readmission was the combination of hospitalization for COPD in the previous year (odds ratio, OR: 4.27; 95% confidence interval, CI: 1.5–12), the total score of the St. George’s Respiratory Questionnaire ≧50 points (OR: 2.36; 95% CI: 1.03–5.04) and PaCO2 at discharge ≧45 mm Hg (OR: 2.18; 95% CI: 0.84–5.06). With this model, the probability of readmission for patients without any of these variables was 7%, while it was 70% for the patients with all three variables present. Conclusion: The combination of quality of life, hospitalization for COPD in the previous year and hypercapnia at discharge are useful predictors of readmission at 1 year.

Recent improvement in long-term survival after a COPD hospitalisation

Background Evidence-based international guidelines on chronic obstructive pulmonary disease (COPD), and their corresponding recommendations, were established to improve individual COPD prognosis, and ultimately to improve survival. The aim of this study was to determine whether the long-term mortality after discharge from a COPD hospitalisation has improved recently, and the effect of co-morbidity treatment in improving COPD prognosis. Methods In a prospective cohort study design of two cohorts 7 years apart, patients discharged from the same university hospital after a COPD exacerbation were followed-up, and their outcomes compared. Demographic and clinical variables, as well as lung function, were collected with the same protocol by the same investigators. Comprehensive assessments of co-morbidities and treatments were undertaken. Kaplan–Meier survival curves were estimated, and outcomes were compared by means of Cox regression methods. Results Overall, 135 participants in the 1996–7 cohort and 181 participants in the 2003–4 cohort were studied. Both cohorts were comparable in their baseline demographic and clinical variables, and median follow-up was 439 days. The 3-year mortality was lower in the 2003–4 cohort (38.7%) than in the 1996–7 cohort (47.4%) (p=0.017), and the RR of death after adjustment for gender, age, body mass index, co-morbidities, lung function and mMRC (modified Medical Research Council scale) dyspnoea was 0.66 (95% CI 0.45 to 0.97). Long-term survival improved in the second cohort for patients with COPD with heart failure or cancer (p<0.001). Conclusions A recent trend towards better prognosis of patients with COPD after hospital discharge is described and is likely to be associated with better management and treatment of COPD and co-morbidities.

Short- and Medium-term Prognosis in Patients Hospitalized for COPD Exacerbation : The CODEX Index

BACKGROUND No valid tools exist for evaluating the prognosis in the short and medium term after hospital discharge of patients with COPD. Our hypothesis was that a new index based on the CODEX (comorbidity, obstruction, dyspnea, and previous severe exacerbations) index can accurately predict mortality, hospital readmission, and their combination for the period from 3 months to 1 year after discharge in patients hospitalized for COPD. METHODS A multicenter study of patients hospitalized for COPD exacerbations was used to develop the CODEX index, and a different patient cohort was used for validation. Comorbidity was measured using the age-adjusted Charlson index, whereas dyspnea, obstruction, and severe exacerbations were calculated according to BODEX (BMI, airfl ow obstruction, dyspnea, and previous severe exacerbations) thresholds. Information about mortality and readmissions for COPD or other causes was collected at 3 and 12 months after hospital discharge. RESULTS Two sets of 606 and 377 patients were included in the development and validation cohorts, respectively. The CODEX index was associated with mortality at 3 months ( P < .0001; hazard ratio [HR], 1.5; 95% CI, 1.2-1.8) and 1 year ( P < .0001; HR, 1.3; 95% CI, 1.2-1.5 ), hospital readmissions in the same periods, and their combination (all P < .0001). All CODEX C statistics were superior to those of the BODEX, DOSE (dyspnea, airfl ow obstruction, smoking status, and exacerbation frequency), and updated ADO (age, dyspnea, and airfl ow obstruction) indexes. CONCLUSIONS The CODEX index was a useful predictor of survival and readmission at both 3 months and 1 year after hospital discharge for a COPD exacerbation, with a prognostic capacity superior to other previously published indexes.

Obstructive sleep apnea and metabolic syndrome in spanish population.

Obstructive sleep apnea (OSA) is a clinical picture characterized by repeated episodes of obstruction of the upper airway. OSA is associated with cardiovascular risk factors, some of which are components of metabolic syndrome (MS). Objectives: First, determine the prevalence of MS in patients with OSA visited in sleep clinic. Second, evaluate whether there is an independent association between MS components and the severity of OSA. Methods: Patients with clinical suspicion of OSA were evaluated by polysomnography. Three groups were defined according to apnea hypoapnea index (AHI): no OSA (AHI <5), mild-moderate (AHI≥ 5 ≤30), and severe (AHI> 30). All patients were determined in fasting blood glucose, total cholesterol, HDL cholesterol, triglycerides and insulin. MS was defined according to criteria of National Cholesterol Education Program (NCEP). Results: A total of 141 patients (mean age 54 ± 11 years) were evaluated. According to AIH, 25 subjects had no OSA and 116 had OSA (41mild-moderate and 75 severe). MS prevalence ranged from 43-81% in OSA group. Also, a significant increase in waist circumference, triglycerides, glucose, blood pressure levels, and a decrease in HDL cholesterol levels was observed in more severe OSA patients. All polysomnographic parameters correlated significantly with metabolic abnormalities. After a multiple regression analysis, abdominal obesity (p <0.02), glucose (p <0.01) and HDL cholesterol (p <0.001) were independently associated with OSA. Conclusions: Our findings show high prevalence of MS in OSA, especially in severe group. A significant association between OSA and some of the components of MS was found in Spanish population.

Hospitalizaciones por EPOC en el paciente anciano

INTRODUCTION Hospitalizations for decompensation of chronic obstructive pulmonary disease (COPD) mainly occur in the elderly. The aim of this study was to describe the characteristics of octogenarians admitted for COPD and to compare these characteristics with those in a younger group. MATERIAL AND METHODS All patients hospitalized for COPD in an acute care hospital over three time periods were studied. All patients met spirometric criteria for COPD. A questionnaire evaluating items on prior admissions, days of hospital stay and readmissions in the subsequent year was completed. Data on comorbidity (the Charlson index), functional dependency (Katz index), depression (Yesavage scale), domiciliary medication, socioeconomic position, social resources, and quality of life, among other factors, were gathered. RESULTS We studied 390 patients, with a mean age of 72 years (SD 9.6), of whom 88 (22%) were aged more than 80 years old. The mean length of hospital stay was 11.4 days, FEV(1) at discharge was 39% of the theoretical value, and 55% of the patients were readmitted in the following year, with no differences between age groups. Patients older than 80 years had a lower body mass index (P<.03), greater comorbidity (P<.001), greater functional dependency (P<.001) and worse scores on the Pffeifer (P<.001) and Yesavage scales (P<.01). CONCLUSIONS Octogenarians hospitalized for COPD exacerbations have greater comorbidity, depressive features and functional dependency than younger patients. Nevertheless, no differences were found in the length of hospital stay or in readmissions in the following year.

Comparación entre el análisis automático y manual de la polisomnografía convencional en el diagnóstico del síndrome de apnea-hipopnea obstructiva del sueño

Objetivo Comparar el analisis automatico y manual de las variables neurologicas y respiratorias obtenidas por el polisomnografo de 16 canales Somnostar α 4100. Pacientes y Metodo Se incluyo en el estudio a 28 pacientes con sospecha de sindrome de apnea-hipopnea obstructiva del sueno a los cuales se les practico una polisomnografia convencional. Se decidio de forma aleatoria el orden de las lecturas automatica y manual de los episodios respiratorios, fases de sueno y arousals. Se realizo un analisis de concordancia (coeficiente de correlacion intraclase), asi como una representacion grafica de las diferencias utilizando el metodo de Bland y Altman. Resultados Se observo una mala concordancia entre los dos tipos de analisis respecto a las fases de sueno, sobre todo REM y las fases de sueno profundo. Respecto a los parametros respiratorios la concordancia fue buena para las apneas. Sin embargo, el analisis automatico infraestimo las hipopneas. Si se considera el analisis manual como patron de referencia para un punto de corte de indice de apneas-hipopneas mayor de 10, el analisis automatico obtuvo una sensibilidad del 55%, una especificidad y un valor predictivo positivo del 100%, un valor predictivo negativo del 47% y una eficacia diagnostica global del 67,8%. Conclusiones El analisis automatico del sistema Somnostar 4100 proporciona una lectura inadecuada de las fases de sueno asi como de los episodios respiratorios, fundamentalmente de las hipopneas.

H1N1 influenza pneumonia and bacterial coinfection

The model described by Bewick et al seems to be able to distinguish between H1N1 influenza-related pneumonia and non-H1N1 community acquired pneumonia (CAP) based on five criteria. However, bacterial infection in the influenza group has not been accurately excluded. Therefore, this model could misidentify these patients and lead to an inappropriate treatment. We conducted a prospective observational study to compare mixed pneumonia vs viral pneumonia. In the mixed pneumonia group patients were older, had higher levels of procalcitonine and higher scores of severity. In our cohort the model proposed by Bewick et al would not identify patients with coinfection.