Impact of Applying the Global Lung Initiative Criteria for Airway Obstruction in GOLD Defined COPD Cohorts: The BODE and CHAIN Experience.

INTRODUCTION: The Global Lung Function Initiative (GLI) has proposed new criteria for airflow limitation (AL) and recommends using these to interpret spirometry. The objective of this study was to explore the impact of the application of the AL GLI criteria in two well characterized GOLD-defined COPD cohorts. METHODS: COPD patients from the BODE (n=360) and the COPD History Assessment In SpaiN (CHAIN) cohorts (n=722) were enrolled and followed. Age, gender, pack-years history, BMI, dyspnea, lung function measurements, exercise capacity, BODE index, history of exacerbations and survival were recorded. CT-detected comorbidities were registered in the BODE cohort. The proportion of subjects without AL by GLI criteria was determined in each cohort. The clinical, CT-detected comorbidity, and overall survival of these patients were evaluated. RESULTS: In total, 18% of the BODE and 15% of the CHAIN cohort did not meet GLI AL criteria. In the BODE and CHAIN cohorts respectively, these patients had a high clinical burden (BODE≥3: 9% and 20%; mMRC≥2: 16% and 45%; exacerbations in the previous year: 31% and 9%; 6MWD<350m: 15% and 19%, respectively), and a similar prevalence of CT-diagnosed comorbidities compared with those with GLI AL. They also had a higher rate of long-term mortality - 33% and 22% respectively. CONCLUSIONS: An important proportion of patients from 2 GOLD-defined COPD cohorts did not meet GLI AL criteria at enrolment, although they had a significant burden of disease. Caution must be taken when applying the GLI AL criteria in clinical practice.

Metallomic Signatures of Lung Cancer and Chronic Obstructive Pulmonary Disease.

Lung cancer (LC) is the leading cause of cancer deaths, and chronic obstructive pulmonary disease (COPD) can increase LC risk. Metallomics may provide insights into both of these tobacco-related diseases and their shared etiology. We conducted an observational study of 191 human serum samples, including those of healthy controls, LC patients, COPD patients, and patients with both COPD and LC. We found 18 elements (V, Al, As, Mn, Co, Cu, Zn, Cd, Se, W, Mo, Sb, Pb, Tl, Cr, Mg, Ni, and U) in these samples. In addition, we evaluated the elemental profiles of COPD cases of varying severity. The ratios and associations between the elements were also studied as possible signatures of the diseases. COPD severity and LC have a significant impact on the elemental composition of human serum. The severity of COPD was found to reduce the serum concentrations of As, Cd, and Tl and increased the serum concentrations of Mn and Sb compared with healthy control samples, while LC was found to increase Al, As, Mn, and Pb concentrations. This study provides new insights into the effects of LC and COPD on the human serum elemental profile that will pave the way for the potential use of elements as biomarkers for diagnosis and prognosis. It also sheds light on the potential link between the two diseases, i.e., the evolution of COPD to LC.

COPD Clinical Control: predictors and long-term follow-up of the CHAIN cohort.

BACKGROUND: Control in COPD is a dynamic concept that can reflect changes in patients' clinical status that may have prognostic implications, but there is no information about changes in control status and its long-term consequences. METHODS: We classified 798 patients with COPD from the CHAIN cohort as controlled/uncontrolled at baseline and over 5 years. We describe the changes in control status in patients over long-term follow-up and analyze the factors that were associated with longitudinal control patterns and related survival using the Cox hazard analysis. RESULTS: 134 patients (16.8%) were considered persistently controlled, 248 (31.1%) persistently uncontrolled and 416 (52.1%) changed control status during follow-up. The variables significantly associated with persistent control were not requiring triple therapy at baseline and having a better quality of life. Annual changes in outcomes (health status, psychological status, airflow limitation) did not differ in patients, regardless of clinical control status. All-cause mortality was lower in persistently controlled patients (5.5% versus 19.1%, p = 0.001). The hazard ratio for all-cause mortality was 2.274 (95% CI 1.394-3.708; p = 0.001). Regarding pharmacological treatment, triple inhaled therapy was the most common option in persistently uncontrolled patients (72.2%). Patients with persistent disease control more frequently used bronchodilators for monotherapy (53%) at recruitment, although by the end of the follow-up period, 20% had scaled up their treatment, with triple therapy being the most frequent therapeutic pattern. CONCLUSIONS: The evaluation of COPD control status provides relevant prognostic information on survival. There is important variability in clinical control status and only a small proportion of the patients had persistently good control. Changes in the treatment pattern may be relevant in the longitudinal pattern of COPD clinical control. Further studies in other populations should validate our results. TRIAL REGISTRATION: Clinical Trials.gov: identifier NCT01122758.

Usefulness of Home Overnight Pulse Oximetry in Patients with Suspected Sleep-Disordered Breathing.

Methods: Prospective study conducted in a university hospital. Subjects with a clinical suspicion of SAHS were included. All of them underwent home polygraphy and oximetry on the same night. A correlation was made between the apnea-hypopnea index (AHI) and the oximetry variables. The variable with the highest diagnostic value was calculated using the area under the curve (AUC), and the best cut-off point for discriminating between patients with SAHS and severe SAHS was identified. Results: One hundred and four subjects were included; 73 were men (70%); mean age was 52 ± 10.1 years; body mass index was 30 ± 4.1, and AHI = 29 ± 23.2/h. A correlation was observed between the AHI and oximetry variables, particularly ODI3 (r = 0.850; P < 0.001) and ODI4 (r = 0.912; P < 0.001). For an AHI ≥ 10/h, the ODI3 had an AUC = 0.941 (95% confidence interval (CI) = 0.899-0.982) and the ODI4, an AUC = 0.984 (95% CI = 0.964-1), with the ODI4 having the best cut-off point (5.4/h). Similarly, for an AHI ≥ 30/h, the ODI4 had an AUC = 0.922 (95% CI = 0.859-0.986), with the best cut-off point being 10.5/h. Conclusion: Nocturnal oximetry is useful for diagnosing and evaluating the severity of SAHS. The ODI4 variable was most closely correlated with AHI for both diagnosis.

Effect of a Graduated Walking Program on the Severity of Obstructive Sleep Apnea Syndrome. A Randomized Clinical Trial.

BACKGROUND: Obstructive sleep apnea syndrome (OSAS) is a common disease. The objective of this research was to determine the effectiveness of a graduated walking program in reducing the apnea-hypopnea index number in patients with obstructive sleep apnea syndrome (OSAS). METHODS: A randomized controlled clinical trial with a two-arm parallel in three tertiary hospitals was carried out with seventy sedentary patients with moderate to severe OSAS. Twenty-nine subjects in each arm were analyzed by protocol. The control group received usual care, while usual care and an exercise program based on progressive walks without direct supervision for 6 months were offered to the intervention group. RESULTS: The apnea-hypopnea index decreased by six points in the intervention group, and improvements in oxygen desaturation index, total cholesterol, and Low-Density Lipoprotein of Cholesterol (LDL-c) were observed. A higher decrease in sleep apnea-hypopnea index (45 ± 20.6 vs. 34 ± 26.3/h; p = 0.002) was found in patients with severe vs. moderate OSAS, as well as in oxygen desaturation index from baseline values (43.3 vs. 34.3/h; p = 0.046). Besides, High-Density Lipoprotein of Cholesterol (HDL-c) values showed a higher increase in the intervention group (45.3 vs. 49.5 mg/dL; p = 0.009) and also, a higher decrease in LDL-c was found in this group (141.2 vs. 127.5 mg/dL; p = 0.038). CONCLUSION: A home physical exercise program is a useful and viable therapeutic measure for the management of OSAS.

Impact of Positive Pressure Treatment of the Airway on Health-Related Quality of Life in Elderly Patients With Obstructive Sleep Apnea.

BACKGROUND: Obstructive sleep apnea (OSA) is a chronic illness that increases in prevalence with age. Treatment includes continuous positive airway pressure (CPAP) devices. Studies about the use of CPAP in the elderly are scarce. The main objective of this study is to determine whether CPAP contributes to improvement in health-related quality of life (HRQL) in elderly patients with OSA. METHOD: This was a prospective, pre-/postintervention assessment of a cohort of patients ≥65 years of age with OSA diagnosis by polysomnography who were being treated with CPAP and were physically independent and had good cognitive status. We determined HRQL before and after 3 months of CPAP treatment using the Short Form-36 Health Survey (SF-36, a 36-item, patient-reported survey) and Sleep Apnea Quality of Life Index (SAQLI). The effect of CPAP on daytime sleepiness was assessed with the Epworth Sleepiness Scale (ESS). RESULTS: Of the 103 participants with a mean age of 71.5 ± 4.19 years, 66% were male. After 3 months of therapy, the mean CPAP usage was 6.3 ± 1.41 hr/day. The effectiveness of CPAP in controlling the OSA was demonstrated (mean difference pre- and posttherapy: 34.30 ± 18.52 events/hr, p < .001). Postintervention, the categories of the SF-36 improved meaningfully ( p < .001). Moreover, all categories of SAQLI improved ( p < .001) with the exception of "symptoms" ( p = .073). ESS scores also improved significantly (difference = 5.2 ± 4.47, p < .001) postintervention. CONCLUSION: Therapy with CPAP in elderly patients with OSA helps improve their HRQL and reduces daytime sleepiness.

Changes and Clinical Consequences of Smoking Cessation in Patients With COPD: A Prospective Analysis From the CHAIN Cohort.

BACKGROUND: Despite the existing evidence-based smoking cessation interventions, chances of achieving that goal in real life are still low among patients with COPD. We sought to evaluate the clinical consequences of changes in smoking habits in a large cohort of patients with COPD. METHODS: CHAIN (COPD History Assessment in Spain) is a Spanish multicenter study carried out at pulmonary clinics including active and former smokers with COPD. Smoking status was certified by clinical history and co-oximetry. Clinical presentation and disease impact were recorded via validated questionnaires, including the London Chest Activity of Daily Living (LCADL) and the Hospital Anxiety and Depression Scale (HADS). No specific smoking cessation intervention was carried out. Factors associated with and clinical consequences of smoking cessation were analyzed by multivariate regression and decision tree analyses. RESULTS: One thousand and eighty-one patients with COPD were included (male, 80.8%; age, 65.2 [SD 8.9] years; FEV1, 60.2 [20.5]%). During the 2-year follow-up time (visit 2, 906 patients; visit 3, 791 patients), the majority of patients maintained the same smoking habit. Decision tree analysis detected chronic expectoration as the most relevant variable to identify persistent quitters in the future, followed by an LCADL questionnaire (cutoff 9 points). Total anxiety HADS score was the most relevant clinical impact associated with giving up tobacco, followed by the LCADL questionnaire with a cutoff value of 10 points. CONCLUSIONS: In this real-life prospective COPD cohort with no specific antismoking intervention, the majority of patients did not change their smoking status. Our study also identifies baseline expectoration, anxiety, and dyspnea with daily activities as the major determinants of smoking status in COPD. TRIAL REGISTRY: ClinicalTrials.gov; No. NCT01122758; URL: www.clinicaltrials.gov.

Prevalence of persistent blood eosinophilia: relation to outcomes in patients with COPD.

The impact of blood eosinophilia in chronic obstructive pulmonary disease (COPD) remains controversial.To evaluate the prevalence and stability of a high level of blood eosinophils (≥300 cells·µL-1) and its relationship to outcomes, we determined blood eosinophils at baseline and over 2 years in 424 COPD patients (forced expiratory volume in 1 s (FEV1) 60% predicted) and 67 smokers without COPD from the CHAIN cohort, and in 308 COPD patients (FEV1 60% predicted) in the BODE cohort. We related eosinophil levels to exacerbations and survival using Cox hazard analysis.In COPD patients, 15.8% in the CHAIN cohort and 12.3% in the BODE cohort had persistently elevated blood eosinophils at all three visits. A significant proportion (43.8%) of patients had counts that oscillated above and below the cut-off points, while the rest had persistent eosinophil levels <300 cells·µL-1 A similar eosinophil blood pattern was observed in controls. Exacerbation rates did not differ in patients with and without eosinophilia. All-cause mortality was lower in patients with high eosinophils compared with those with values <300 cells·µL-1 (15.8% versus 33.7%; p=0.026).In patients with COPD, blood eosinophils ≥300 cells·µL-1 persisting over 2 years was not a risk factor for COPD exacerbations. High eosinophil count was associated with better survival.

Exhaled breath condensate biomarkers for the early diagnosis of lung cancer using proteomics.

We explored whether the proteomic analysis of exhaled breath condensate (EBC) may provide biomarkers for noninvasive screening for the early detection of lung cancer (LC). EBC was collected from 192 individuals [49 control (C), 49 risk factor-smoking (S), 46 chronic obstructive pulmonary disease (COPD) and 48 LC]. With the use of liquid chromatography and tandem mass spectrometry, 348 different proteins with a different pattern among the four groups were identified in EBC samples. Significantly more proteins were identified in the EBC from LC compared with other groups (C: 12.4 ± 1.3; S: 15.3 ± 1; COPD: 14 ± 1.6; LC: 24.2 ± 3.6; P = 0.0001). Furthermore, the average number of proteins identified per sample was significantly higher in LC patients, and receiver operating characteristic curve (ROC) analysis showed an area under the curve of 0.8, indicating diagnostic value. Proteins frequently detected in EBC, such as dermcidin and hornerin, along with others much less frequently detected, such as hemoglobin and histones, were identified. Cytokeratins (KRTs) were the most abundant proteins in EBC samples, and levels of KRT6A, KRT6B, and KRT6C isoforms were significantly higher in samples from LC patients (P = 0.0031, 0.0011, and 0.0009, respectively). Moreover, the amount of most KRTs in EBC samples from LC patients showed a significant positive correlation with tumor size. Finally, we used a random forest algorithm to generate a robust model using EBC protein data for the diagnosis of patients with LC where the area under the ROC curve obtained indicated a good classification (82%). Thus this study demonstrates that the proteomic analysis of EBC samples is an appropriated approach to develop biomarkers for the diagnosis of lung cancer.

Distribution and Outcomes of a Phenotype-Based Approach to Guide COPD Management: Results from the CHAIN Cohort.

RATIONALE: The Spanish guideline for COPD (GesEPOC) recommends COPD treatment according to four clinical phenotypes: non-exacerbator phenotype with either chronic bronchitis or emphysema (NE), asthma-COPD overlap syndrome (ACOS), frequent exacerbator phenotype with emphysema (FEE) or frequent exacerbator phenotype with chronic bronchitis (FECB). However, little is known on the distribution and outcomes of the four suggested phenotypes. OBJECTIVE: We aimed to determine the distribution of these COPD phenotypes, and their relation with one-year clinical outcomes. METHODS: We followed a cohort of well-characterized patients with COPD up to one-year. Baseline characteristics, health status (CAT), BODE index, rate of exacerbations and mortality up to one year of follow-up were compared between the four phenotypes. RESULTS: Overall, 831 stable COPD patients were evaluated. They were distributed as NE, 550 (66.2%); ACOS, 125 (15.0%); FEE, 38 (4.6%); and FECB, 99 (11.9%); additionally 19 (2.3%) COPD patients with frequent exacerbations did not fulfill the criteria for neither FEE nor FECB. At baseline, there were significant differences in symptoms, FEV1 and BODE index (all p<0.05). The FECB phenotype had the highest CAT score (17.1±8.2, p<0.05 compared to the other phenotypes). Frequent exacerbator groups (FEE and FECB) were receiving more pharmacological treatment at baseline, and also experienced more exacerbations the year after (all p<0.05) with no differences in one-year mortality. Most of NE (93%) and half of exacerbators were stable after one year. CONCLUSIONS: There is an uneven distribution of COPD phenotypes in stable COPD patients, with significant differences in demographics, patient-centered outcomes and health care resources use.

Defining the Asthma-COPD Overlap Syndrome in a COPD Cohort.

BACKGROUND: Asthma-COPD overlap syndrome (ACOS) has been recently described by international guidelines. A stepwise approach to diagnosis using usual features of both diseases is recommended although its clinical application is difficult. METHODS: To identify patients with ACOS, a cohort of well-characterized patients with COPD and up to 1 year of follow-up was analyzed. We evaluated the presence of specific characteristics associated with asthma in this COPD cohort, divided into major criteria (bronchodilator test > 400 mL and 15% and past medical history of asthma) and minor criteria (blood eosinophils > 5%, IgE > 100 IU/mL, or two separate bronchodilator tests > 200 mL and 12%). We defined ACOS by the presence of one major criterion or two minor criteria. Baseline characteristics, health status (COPD Assessment Test [CAT]), BMI, airflow obstruction, dyspnea, and exercise capacity (BODE) index, rate of exacerbations, and mortality up to 1 year of follow-up were compared between patients with and without criteria for ACOS. RESULTS: Of 831 patients with COPD included,125 (15%) fulfilled the criteria for ACOS, and 98.4% of them sustained these criteria after 1 year. Patients with ACOS were predominantly male (81.6%), with symptomatic mild to moderate disease (67%), who were receiving inhaled corticosteroids (63.2%). There were no significant differences in baseline characteristics, and only survival was worse in patients with non-ACOS COPD after 1 year of follow-up (P < .05). CONCLUSIONS: The proposed ACOS criteria are present in 15% of a cohort of patients with COPD and these patients show better 1-year prognosis than clinically similar patients with COPD with no ACOS criteria. TRIAL REGISTRY: ClinicalTrials.gov; No.: NCT01122758; URL: www.clinicaltrials.gov.

Differential Effect of Modified Medical Research Council Dyspnea, COPD Assessment Test, and Clinical COPD Questionnaire for Symptoms Evaluation Within the New GOLD Staging and Mortality in COPD.

OBJECTIVE: The modified Medical Research Council (mMRC) dyspnea, the COPD Assessment Test (CAT), and the Clinical COPD Questionnaire (CCQ) have been interchangeably proposed by GOLD (Global Initiative for Chronic Obstructive Lung Disease) for assessing symptoms in patients with COPD. However, there are no data on the prognostic value of these tools in terms of mortality. We endeavored to evaluate the prognostic value of the CAT and CCQ scores and compare them with mMRC dyspnea. METHODS: We analyzed the ability of these tests to predict mortality in an observational cohort of 768 patients with COPD (82% men; FEV1, 60%) from the COPD History Assessment in Spain (CHAIN) study, a multicenter observational Spanish cohort, who were monitored annually for a mean follow-up time of 38 months. RESULTS: Subjects who died (n = 73; 9.5%) had higher CAT (14 vs 11, P = .022), CCQ (1.6 vs 1.3, P = .033), and mMRC dyspnea scores (2 vs 1, P < .001) than survivors. Receiver operating characteristic analysis showed that higher CAT, CCQ, and mMRC dyspnea scores were associated with higher mortality (area under the curve: 0.589, 0.588, and 0.649, respectively). CAT scores ≥ 17 and CCQ scores > 2.5 provided a similar sensitivity than mMRC dyspnea scores ≥ 2 to predict all-cause mortality. CONCLUSIONS: The CAT and the CCQ have similar ability for predicting all-cause mortality in patients with COPD, but were inferior to mMRC dyspnea scores. We suggest new thresholds for CAT and CCQ scores based on mortality risk that could be useful for the new GOLD grading classification. TRIAL REGISTRY: ClinicalTrials.gov; No.: NCT01122758; URL: www.clinicaltrials.gov.

Oxigenoterapia domiciliaria provisional y organización asistencial / No disponible

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Clinical application of the COPD assessment test: longitudinal data from the COPD History Assessment in Spain (CHAIN) cohort.

OBJECTIVE: The COPD Assessment Test (CAT) has been proposed for assessing health status in COPD, but little is known about its longitudinal changes. The objective of this study was to evaluate 1-year CAT variability in patients with stable COPD and to relate its variations to changes in other disease markers. METHODS: We evaluated the following variables in smokers with and without COPD at baseline and after 1 year: CAT score, age, sex, smoking status, pack-year history, BMI, modified Medical Research Council (mMRC) scale, 6-min walk distance (6MWD), lung function, BODE (BMI, obstruction, dyspnea, exercise capacity) index, hospital admissions, Hospital and Depression Scale, and the Charlson comorbidity index. In patients with COPD, we explored the association of CAT scores and 1-year changes in the studied parameters. RESULTS: A total of 824 smokers with COPD and 126 without COPD were evaluated at baseline and 441 smokers with COPD and 66 without COPD 1 year later. At 1 year, CAT scores for patients with COPD were similar (± 4 points) in 56%, higher in 27%, and lower in 17%. Of note, mMRC scale scores were similar (± 1 point) in 46% of patients, worse in 36%, and better in 18% at 1 year. One-year CAT changes were best predicted by changes in mMRC scale scores (ß-coefficient, 0.47; P < .001). Similar results were found for CAT and mMRC scale score in smokers without COPD. CONCLUSIONS: One-year longitudinal data show variability in CAT scores among patients with stable COPD similar to mMRC scale score, which is the best predictor of 1-year CAT changes. Further longitudinal studies should confirm long-term CAT variability and its clinical applicability. TRIAL REGISTRY: ClinicalTrials.gov; No.: NCT01122758; URL: www.clinicaltrials.gov.

New GOLD classification: longitudinal data on group assignment.

RATIONALE: Little is known about the longitudinal changes associated with using the 2013 update of the multidimensional GOLD strategy for chronic obstructive pulmonary disease (COPD). OBJECTIVE: To determine the COPD patient distribution of the new GOLD proposal and evaluate how this classification changes over one year compared with the previous GOLD staging based on spirometry only. METHODS: We analyzed data from the CHAIN study, a multicenter observational Spanish cohort of COPD patients who are monitored annually. Categories were defined according to the proposed GOLD: FEV1%, mMRC dyspnea, COPD Assessment Test (CAT), Clinical COPD Questionnaire (CCQ), and exacerbations-hospitalizations. One-year follow-up information was available for all variables except CCQ data. RESULTS: At baseline, 828 stable COPD patients were evaluated. On the basis of mMRC dyspnea versus CAT, the patients were distributed as follows: 38.2% vs. 27.2% in group A, 17.6% vs. 28.3% in group B, 15.8% vs. 12.9% in group C, and 28.4% vs. 31.6% in group D. Information was available for 526 patients at one year: 64.2% of patients remained in the same group but groups C and D show different degrees of variability. The annual progression by group was mainly associated with one-year changes in CAT scores (RR, 1.138; 95%CI: 1.074-1.206) and BODE index values (RR, 2.012; 95%CI: 1.487-2.722). CONCLUSIONS: In the new GOLD grading classification, the type of tool used to determine the level of symptoms can substantially alter the group assignment. A change in category after one year was associated with longitudinal changes in the CAT and BODE index.

Intervención domiciliaria y variables predictoras para reingreso hospitalario en la enfermedad pulmonar obstructiva crónica agudizada / Home Intervention and Predictor Variables for Rehospitalization in Chronic Obstructive Pulmonary Disease Exacerbations

Introducción: La enfermedad pulmonar obstructiva crónica (EPOC) agudizada aumenta la mortalidad y los recursos asociados con la hospitalización. Se estudia si un control domiciliario precoz disminuye la tasa de reingresos y si existen variables que puedan predecirlo. Pacientes y métodos: Se realiza un estudio prospectivo, controlado en grupos paralelos en pacientes ingresados por EPOC. Los pacientes que residían a menos de 15km del hospital fueron asignados a un grupo de intervención (visita domiciliaria por una enfermera en las 48-72h tras el alta) y los restantes a un grupo de cuidados habituales. Se compararon en ambos grupos la tasa de reingresos hospitalarios en el primer mes y las variables capaces de predecirlo. Resultados: Fueron incluidos 71 enfermos, 35 en el grupo de cuidados convencionales y 36 en el grupo de intervención; en este último se modificó el tratamiento en 13 sujetos (36% de los enfermos). La tasa de reingreso fue del 17%, siendo similar en ambos grupos (p=0,50). Por cada aumento de 5 años en la edad, el riesgo de reingreso fue de 2,54 (IC95%, 1,06 a 5,07) y por cada incremento de 10mmHg en la PaCO2, el riesgo de reingreso fue de 8,34 (IC95%, 2,43 a 18,55). Conclusiones: El control domiciliario precoz no disminuyó la tasa de reingresos durante el primer mes. Una mayor edad y una PaCO2 elevada son factores que identifican a un grupo con elevado riesgo de reingreso(AU)

Background: Chronic obstructive pulmonary disease (COPD) exacerbation increases mortality and resources used associated with hospitalization. We studied whether early home monitoring reduces the rate of readmission and if there are any predictor variables. Patients and methods: We performed a prospective, controlled, parallel-group study in patients who were hospitalized for COPD. Patients whose residence was within less than 15km from the hospital were assigned to an interventional group (home visits by nurses about 48-72hours after discharge), the remainder were assigned to a conventional care group. The rate of rehospitalization within the first month was compared between the two groups, as well as those variables that showed a predictive capability. Results: Seventy one patients were included: 35 in the conventional care group and 36 in the interventional group. In the latter, the treatment was modified in 13 patients (36%). The hospital readmission rate was 17%, which was similar in both groups (P=.50). For every 5-year increase in age, the risk for readmission was 2.54 (95%CI, 1.06-5.07) and for each increase of 10mmHg in PaCO2, the risk of readmission was 8.34 (95%CI, 2.43-18.55). Conclusions: Early home monitoring did not decrease the readmission rate during the first month. Older age and high PaCO2 are factors that identify the group with a high risk for rehospitalization(AU)

Home intervention and predictor variables for rehospitalization in chronic obstructive pulmonary disease exacerbations.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) exacerbation increases mortality and resources used associated with hospitalization. We studied whether early home monitoring reduces the rate of readmission and if there are any predictor variables. PATIENTS AND METHODS: We performed a prospective, controlled, parallel-group study in patients who were hospitalized for COPD. Patients whose residence was within less than 15km from the hospital were assigned to an interventional group (home visits by nurses about 48-72hours after discharge), the remainder were assigned to a conventional care group. The rate of rehospitalization within the first month was compared between the two groups, as well as those variables that showed a predictive capability. RESULTS: Seventy one patients were included: 35 in the conventional care group and 36 in the interventional group. In the latter, the treatment was modified in 13 patients (36%). The hospital readmission rate was 17%, which was similar in both groups (P=.50). For every 5-year increase in age, the risk for readmission was 2.54 (95%CI, 1.06-5.07) and for each increase of 10mmHg in PaCO(2), the risk of readmission was 8.34 (95%CI, 2.43-18.55). CONCLUSIONS: Early home monitoring did not decrease the readmission rate during the first month. Older age and high PaCO(2) are factors that identify the group with a high risk for rehospitalization.