Underlying and proximate drivers of biodiversity changes in Mesoamerican biosphere reserves.

Protected areas are of paramount relevance to conserving wildlife and ecosystem contributions to people. Yet, their conservation success is increasingly threatened by human activities including habitat loss, climate change, pollution, and species overexploitation. Thus, understanding the underlying and proximate drivers of anthropogenic threats is urgently needed to improve protected areas' effectiveness, especially in the biodiversity-rich tropics. We addressed this issue by analyzing expert-provided data on long-term biodiversity change (last three decades) over 14 biosphere reserves from the Mesoamerican Biodiversity Hotspot. Using multivariate analyses and structural equation modeling, we tested the influence of major socioeconomic drivers (demographic, economic, and political factors), spatial indicators of human activities (agriculture expansion and road extension), and forest landscape modifications (forest loss and isolation) as drivers of biodiversity change. We uncovered a significant proliferation of disturbance-tolerant guilds and the loss or decline of disturbance-sensitive guilds within reserves causing a "winner and loser" species replacement over time. Guild change was directly related to forest spatial changes promoted by the expansion of agriculture and roads within reserves. High human population density and low nonfarming occupation were identified as the main underlying drivers of biodiversity change. Our findings suggest that to mitigate anthropogenic threats to biodiversity within biosphere reserves, fostering human population well-being via sustainable, nonfarming livelihood opportunities around reserves is imperative.

Clustering COVID-19 ARDS patients through the first days of ICU admission. An analysis of the CIBERESUCICOVID Cohort.

BACKGROUND: Acute respiratory distress syndrome (ARDS) can be classified into sub-phenotypes according to different inflammatory/clinical status. Prognostic enrichment was achieved by grouping patients into hypoinflammatory or hyperinflammatory sub-phenotypes, even though the time of analysis may change the classification according to treatment response or disease evolution. We aimed to evaluate when patients can be clustered in more than 1 group, and how they may change the clustering of patients using data of baseline or day 3, and the prognosis of patients according to their evolution by changing or not the cluster. METHODS: Multicenter, observational prospective, and retrospective study of patients admitted due to ARDS related to COVID-19 infection in Spain. Patients were grouped according to a clustering mixed-type data algorithm (k-prototypes) using continuous and categorical readily available variables at baseline and day 3. RESULTS: Of 6205 patients, 3743 (60%) were included in the study. According to silhouette analysis, patients were grouped in two clusters. At baseline, 1402 (37%) patients were included in cluster 1 and 2341(63%) in cluster 2. On day 3, 1557(42%) patients were included in cluster 1 and 2086 (57%) in cluster 2. The patients included in cluster 2 were older and more frequently hypertensive and had a higher prevalence of shock, organ dysfunction, inflammatory biomarkers, and worst respiratory indexes at both time points. The 90-day mortality was higher in cluster 2 at both clustering processes (43.8% [n = 1025] versus 27.3% [n = 383] at baseline, and 49% [n = 1023] versus 20.6% [n = 321] on day 3). Four hundred and fifty-eight (33%) patients clustered in the first group were clustered in the second group on day 3. In contrast, 638 (27%) patients clustered in the second group were clustered in the first group on day 3. CONCLUSIONS: During the first days, patients can be clustered into two groups and the process of clustering patients may change as they continue to evolve. This means that despite a vast majority of patients remaining in the same cluster, a minority reaching 33% of patients analyzed may be re-categorized into different clusters based on their progress. Such changes can significantly impact their prognosis.

Impact of comorbidities in COPD clinical control criteria. The CLAVE study.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) frequently coexists with other chronic diseases, namely comorbidities. They negatively impact prognosis, exacerbations and quality of life in COPD patients. However, no studies have been performed to explore the impact of these comorbidities on COPD clinical control criteria. RESEARCH QUESTION: Determine the relationship between individualized comorbidities and COPD clinical control criteria. STUDY DESIGN AND METHODS: Observational, multicenter, cross-sectional study performed in Spain involving 4801 patients with severe COPD (< 50 predicted forced expiratory volume in the first second [FEV1%]). Clinical control criteria were defined by the combination of COPD assessment test (CAT) scores (≤16 vs ≥17) and exacerbations in the previous three months (none vs ≥1). Binary logistic regression adjusted by age and FEV1% was performed to identify comorbidities potentially associated with the lack of control of COPD. Secondary endpoints were the relationship between individualized comorbidities with COPD assessment test and exacerbations within the last three months. RESULTS: Most frequent comorbidities were arterial hypertension (51.2%), dyslipidemia (36.0%), diabetes (24.9%), obstructive sleep apnea-hypopnea syndrome (14.9%), anxiety (14.1%), heart failure (11.6%), depression (11.8%), atrial fibrillation (11.5%), peripheral arterial vascular disease (10.4%) and ischemic heart disease (10.1%). After age and FEV1% adjustment, comorbidities related to lack of clinical control were cardiovascular diseases (heart failure, peripheral vascular disease and atrial fibrillation; p < 0.0001), psychologic disorders (anxiety and depression; all p < 0.0001), metabolic diseases (diabetes, arterial hypertension and abdominal obesity; all p < 0.001), sleep disorders (p < 0.0001), anemia (p = 0.015) and gastroesophageal reflux (p < 0.0001). These comorbidities were also related to previous exacerbations and COPD assessment test scores. INTERPRETATION: Comorbidities are frequent in patients with severe COPD, negatively impacting COPD clinical control criteria. They are related to health-related quality of life measured by the COPD assessment test. Our results suggest that comorbidities should be investigated and treated in these patients to improve their clinical control. TAKE-HOME POINTS: Study question: What is the impact of comorbidities on COPD clinical control criteria? RESULTS: Among 4801 patients with severe COPD (27.5% controlled and 72.5% uncontrolled), after adjustment by age and FEV1%, comorbidities related to lack of clinical control were cardiovascular diseases (heart failure, peripheral vascular disease and atrial fibrillation; p < 0.0001), psychologic disorders (anxiety and depression; p < 0.0001), metabolic diseases (diabetes, arterial hypertension and abdominal obesity; p < 0.001), obstructive sleep apnea-hypopnea syndrome (p < 0.0001), anaemia (p = 0.015) and gastroesophageal reflux (p < 0.0001), which were related to previous exacerbations and COPD assessment test scores. INTERPRETATION: Comorbidities are related to health-related quality of life measured by the COPD assessment test scores and history of exacerbations in the previous three months.

Effects of intubation timing in patients with COVID-19 throughout the four waves of the pandemic: a matched analysis.

BACKGROUND: The primary aim of our study was to investigate the association between intubation timing and hospital mortality in critically ill patients with coronavirus disease 2019 (COVID-19)-associated respiratory failure. We also analysed both the impact of such timing throughout the first four pandemic waves and the influence of prior noninvasive respiratory support on outcomes. METHODS: This is a secondary analysis of a multicentre, observational and prospective cohort study that included all consecutive patients undergoing invasive mechanical ventilation due to COVID-19 from across 58 Spanish intensive care units (ICUs) participating in the CIBERESUCICOVID project. The study period was between 29 February 2020 and 31 August 2021. Early intubation was defined as that occurring within the first 24 h of ICU admission. Propensity score matching was used to achieve a balance across baseline variables between the early intubation cohort and those patients who were intubated after the first 24 h of ICU admission. Differences in outcomes between early and delayed intubation were also assessed. We performed sensitivity analyses to consider a different time-point (48 h from ICU admission) for early and delayed intubation. RESULTS: Of the 2725 patients who received invasive mechanical ventilation, a total of 614 matched patients were included in the analysis (307 for each group). In the unmatched population, there were no differences in mortality between the early and delayed groups. After propensity score matching, patients with delayed intubation presented higher hospital mortality (27.3% versus 37.1%; p=0.01), ICU mortality (25.7% versus 36.1%; p=0.007) and 90-day mortality (30.9% versus 40.2%; p=0.02) compared with the early intubation group. Very similar findings were observed when we used a 48-h time-point for early or delayed intubation. The use of early intubation decreased after the first wave of the pandemic (72%, 49%, 46% and 45% in the first, second, third and fourth waves, respectively; first versus second, third and fourth waves p<0.001). In both the main and sensitivity analyses, hospital mortality was lower in patients receiving high-flow nasal cannula (HFNC) (n=294) who were intubated earlier. The subgroup of patients undergoing noninvasive ventilation (n=214) before intubation showed higher mortality when delayed intubation was set as that occurring after 48 h from ICU admission, but not when after 24 h. CONCLUSIONS: In patients with COVID-19 requiring invasive mechanical ventilation, delayed intubation was associated with a higher risk of hospital mortality. The use of early intubation significantly decreased throughout the course of the pandemic. Benefits of such an approach occurred more notably in patients who had received HFNC.

Non-invasive oxygenation support in acutely hypoxemic COVID-19 patients admitted to the ICU: a multicenter observational retrospective study.

BACKGROUND: Non-invasive oxygenation strategies have a prominent role in the treatment of acute hypoxemic respiratory failure during the coronavirus disease 2019 (COVID-19). While the efficacy of these therapies has been studied in hospitalized patients with COVID-19, the clinical outcomes associated with oxygen masks, high-flow oxygen therapy by nasal cannula and non-invasive mechanical ventilation in critically ill intensive care unit (ICU) patients remain unclear. METHODS: In this retrospective study, we used the best of nine covariate balancing algorithms on all baseline covariates in critically ill COVID-19 patients supported with > 10 L of supplemental oxygen at one of the 26 participating ICUs in Catalonia, Spain, between March 14 and April 15, 2020. RESULTS: Of the 1093 non-invasively oxygenated patients at ICU admission treated with one of the three stand-alone non-invasive oxygenation strategies, 897 (82%) required endotracheal intubation and 310 (28%) died during the ICU stay. High-flow oxygen therapy by nasal cannula (n = 439) and non-invasive mechanical ventilation (n = 101) were associated with a lower rate of endotracheal intubation (70% and 88%, respectively) than oxygen masks (n = 553 and 91% intubated), p < 0.001. Compared to oxygen masks, high-flow oxygen therapy by nasal cannula was associated with lower ICU mortality (hazard ratio 0.75 [95% CI 0.58-0.98), and the hazard ratio for ICU mortality was 1.21 [95% CI 0.80-1.83] for non-invasive mechanical ventilation. CONCLUSION: In critically ill COVID-19 ICU patients and, in the absence of conclusive data, high-flow oxygen therapy by nasal cannula may be the approach of choice as the primary non-invasive oxygenation support strategy.

The evolution of the ventilatory ratio is a prognostic factor in mechanically ventilated COVID-19 ARDS patients.

BACKGROUND: Mortality due to COVID-19 is high, especially in patients requiring mechanical ventilation. The purpose of the study is to investigate associations between mortality and variables measured during the first three days of mechanical ventilation in patients with COVID-19 intubated at ICU admission. METHODS: Multicenter, observational, cohort study includes consecutive patients with COVID-19 admitted to 44 Spanish ICUs between February 25 and July 31, 2020, who required intubation at ICU admission and mechanical ventilation for more than three days. We collected demographic and clinical data prior to admission; information about clinical evolution at days 1 and 3 of mechanical ventilation; and outcomes. RESULTS: Of the 2,095 patients with COVID-19 admitted to the ICU, 1,118 (53.3%) were intubated at day 1 and remained under mechanical ventilation at day three. From days 1 to 3, PaO2/FiO2 increased from 115.6 [80.0-171.2] to 180.0 [135.4-227.9] mmHg and the ventilatory ratio from 1.73 [1.33-2.25] to 1.96 [1.61-2.40]. In-hospital mortality was 38.7%. A higher increase between ICU admission and day 3 in the ventilatory ratio (OR 1.04 [CI 1.01-1.07], p = 0.030) and creatinine levels (OR 1.05 [CI 1.01-1.09], p = 0.005) and a lower increase in platelet counts (OR 0.96 [CI 0.93-1.00], p = 0.037) were independently associated with a higher risk of death. No association between mortality and the PaO2/FiO2 variation was observed (OR 0.99 [CI 0.95 to 1.02], p = 0.47). CONCLUSIONS: Higher ventilatory ratio and its increase at day 3 is associated with mortality in patients with COVID-19 receiving mechanical ventilation at ICU admission. No association was found in the PaO2/FiO2 variation.

Pneumonic versus Nonpneumonic Exacerbations of Chronic Obstructive Pulmonary Disease.

Patients with chronic obstructive pulmonary disease (COPD) often suffer acute exacerbations (AECOPD) and community-acquired pneumonia (CAP), named nonpneumonic and pneumonic exacerbations of COPD, respectively. Abnormal host defense mechanisms may play a role in the specificity of the systemic inflammatory response. Given the association of this aspect to some biomarkers at admission (e.g., C-reactive protein), it can be used to help to discriminate AECOPD and CAP, especially in cases with doubtful infiltrates and advanced lung impairment. Fever, sputum purulence, chills, and pleuritic pain are typical clinical features of CAP in a patient with COPD, whereas isolated dyspnea at admission has been reported to predict AECOPD. Although CAP may have a worse outcome in terms of mortality (in hospital and short term), length of hospitalization, and early readmission rates, this has only been confirmed in a few prospective studies. There is a lack of methodologically sound research confirming the impact of severe AECOPD and COPD + CAP. Here, we review studies reporting head-to-head comparisons between AECOPD and CAP + COPD in hospitalized patients. We focus on the epidemiology, risk factors, systemic inflammatory response, clinical and microbiological characteristics, outcomes, and treatment approaches. Finally, we briefly discuss some proposals on how we should orient research in the future.

Clinical variables predicting the risk of a hospital stay for longer than 7 days in patients with severe acute exacerbations of chronic obstructive pulmonary disease: a prospective study.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) patients may experience an acute exacerbation (AECOPD) that requires hospitalisation. The length of hospital stay (LHS) has a great economic impact on the health-care system. Knowing the predictors of prolonged LHS could help to identify possible interventions. METHODS: We performed a prospective study to identify the clinical predictors of prolonged LHS in patients hospitalised for AECOPD. We divided the study sample by LHS into normal (≤7 days) and prolonged LHS (> 7 days) groups. Outcomes were the need for non-invasive and invasive mechanical ventilation (NIMV and IMV), intensive care unit (ICU) admission, and the 3-year mortality. RESULTS: We enrolled 437 patients, of which 213 and 224 had normal LHS and prolonged LHS, respectively. Patients with a prolonged LHS had more prior hospitalisations for AECOPD, a worse mMRC (modified Medical Research Council) dyspnoea score, a higher prevalence of long-term oxygen therapy and a higher rate of congestive heart disease. During the current admission, this group also tended to require NIMV, IMV and ICU admission and the mortality risks at 6 months, 1 year and 3 years were higher. In the multivariate regression analysis, an mMRC dyspnoea score ≥ 2 (odds ratio-OR 2.24; 95% confidence interval-CI 1.34 to 3.74; p = 0.002) and the presence of acute respiratory acidosis (OR 2.75; 95% CI 1.49 to 5.05; p = 0.001) predicted a prolonged LHS at admission. CONCLUSIONS: The presence of an mMRC ≥2 and acute respiratory acidosis at admission independently increased the risk of a prolonged LHS for AECOPD.

Microorganisms resistant to conventional antimicrobials in acute exacerbations of chronic obstructive pulmonary disease.

BACKGROUND: Antimicrobial treatment for acute exacerbations of chronic obstructive pulmonary disease (AECOPD) remains controversial. In some cases AECOPD are caused by microorganisms that are resistant to treatments recommended by guidelines. Our aims were: 1) identify the risk factors associated with infection by microorganisms resistant to conventional treatment (MRCT), 2) Compare the clinical characteristics and outcomes of patients with AECOPD resulting from MRCT against those with AECOPD from other causes. METHODS: We prospective analysed a cohort of patients admitted with severe AECOPD (2009 to 2015) who were assigned to three groups: patients with MRCT (those patients with germs resistant to antibiotics recommended in guidelines), patients with microorganisms sensitive to conventional antimicrobial treatment (MSCT), and patients with negative microbiology results who had not previously received antibiotics. Multinomial logistic regression analyses were used to examine the associations between microbial aetiology groups and risk factors. The association between LOS and risk factors was also tested in simple and multiple analyses, and similar inclusion criteria were applied for the linear regression analysis. RESULTS: Of the 451 patients admitted, 195 patients (43%) were included. Respiratory cultures were positive in 86(44%) and negative in 109(56%). MRCT were isolated in 34 cases (40%) and MSCT in 52 (60%). Patients with MRCT had more AECOPD in the previous year, received more antibiotic treatment in the previous three months, had more severe disease, higher dyspnoea and a positive respiratory culture in the previous year (mainly for Pseudomonas aeruginosa). The following conditions were independent factors for MRCT isolation: non-current smoker (odds ratio [OR] 4.19 [95% confidence interval [CI] 1.29-13.67], p = 0.017), ≥ 2 AECOPD or ≥ 1 admission for AECOPD in the previous year (OR 4.13 [95% CI 1.52-11.17], p = 0.005), C-reactive protein < 5 mg/dL; (OR 3.58 [95% CI 1.41-9.07], p = 0.007). Mortality rates were comparable at 30-days, one year and 3 years; however, patients in the MRCT group had longer hospital stays. CONCLUSION: In conclusion, there are risk factors for resistant germs in AECOPD; however, the presence of these germs does not increase mortality. Patients with isolation of MRCT had longer length of stay.

Predicting In-Hospital Treatment Failure (≤ 7 days) in Patients with COPD Exacerbation Using Antibiotics and Systemic Steroids.

Although pharmacological treatment of COPD exacerbation (COPDE) includes antibiotics and systemic steroids, a proportion of patients show worsening of symptoms during hospitalization that characterize treatment failure. The aim of our study was to determine in-hospital predictors of treatment failure (≤ 7 days). Prospective data on 110 hospitalized COPDE patients, all treated with antibiotics and systemic steroids, were collected; on the seventh day of hospitalization, patients were divided into treatment failure (n = 16) or success (n = 94). Measures of inflammatory serum biomarkers were recorded at admission and at day 3; data on clinical, laboratory, microbiological, and severity, as well data on mortality and readmission, were also recorded. Patients with treatment failure had a worse lung function, with higher serum levels of C-reactive protein (CRP), procalcitonin (PCT), tumour necrosis factor-alpha (TNF-α), interleukin (IL) 8, and IL-10 at admission, and CRP and IL-8 at day 3. Longer length of hospital stay and duration of antibiotic therapy, higher total doses of steroids and prevalence of deaths and readmitted were found in the treatment failure group. In the multivariate analysis, +1 mg/dL of CRP at admission (OR, 1.07; 95% CI, 1.01 to 1.13) and use of penicillins or cephalosporins (OR, 5.63; 95% CI, 1.26 to 25.07) were independent variables increasing risk of treatment failure, whereas cough at admission (OR, 0.20; 95% CI, 0.05 to 0.75) reduces risk of failure. In hospitalized COPDE patients CRP at admission and use of specific class of antibiotics predict in-hospital treatment failure, while presence of cough has a protective role.

C-Reactive Protein at Discharge, Diabetes Mellitus and ≥ 1 Hospitalization During Previous Year Predict Early Readmission in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease.

Recurrent hospitalizations in acute exacerbation of chronic obstructive pulmonary disease (AECOPD) patients have clinical and economic consequences; particularly those readmitted soon after discharge. The aim of our observational study was to determine predictors of early readmission to hospital (30 days from discharge). Prospective data on 125 hospitalized AECOPD patients were collected over a 30-month period at two Spanish university hospitals. Based on readmission after discharge, patients were divided into non-readmitted (n = 96) and readmitted (n = 29). Measures of serum inflammatory biomarkers were recorded on admission to hospital, at day 3 and at discharge; data on clinical, laboratory, microbiological and severity features were also recorded. In a multivariate model, C-reactive protein (CRP) at discharge ≥ 7.6 mg/L, presence of diabetes and ≥ 1 hospitalization for AECOPD during previous year were significant risk factors for predicting readmission. Presence of all 3 risk factors perfectly identified the readmitted patients (positive and negative predictive values of 1.000; 95% CI, 1.00-1.00). A combination of 3 readily available clinical and biochemical parameters is accurate in identifying hospitalized AECOPD patients at risk for early readmission.

Importance of Aspergillus spp. isolation in Acute exacerbations of severe COPD: prevalence, factors and follow-up: the FUNGI-COPD study.

BACKGROUND: Acute exacerbations of COPD (AECOPD) are often associated with infectious agents, some of which may be non-usual, including Aspergillus spp. However, the importance of Aspergillus spp. in the clinical management of AECOPD still remains unclear. OBJECTIVES: The aims of the study were to analyze the prevalence and risk factors associated with Aspergillus spp. isolation in AECOPD, and to investigate the associated clinical outcomes during a 1-year follow-up period. METHODS: Patients presenting with an AECOPD requiring hospitalization were prospectively included from four hospitals across Spain. Clinical, radiological and microbiological data were collected at admission and during the follow-up period (1, 6 and 12 months after discharge), and re-admissions and mortality data collected during the follow-up. RESULTS: A total of 240 patients with severe AECOPD were included. Valid sputum samples were obtained in 144 (58%) patients, and in this group, the prevalence of Aspergillus spp. isolation was 16.6% on admission and 14.1% at one-year follow-up. Multivariate logistic-regression showed that AECOPD in the previous year (OR 12.35; 95% CI, 1.9-29.1; p < 0.001), concurrent isolation of pathogenic bacteria (OR 3.64; 95% CI 1.65-9.45, p = 0.001) and concomitant isolation of Pseudomonas aeruginosa (OR 2.80; 95% IC, 1.81-11.42; p = 0.001) were the main risk factors for Aspergillus spp. isolation. CONCLUSIONS: The main risk factors for Aspergillus spp. isolation were AECOPD in the previous year and concomitant isolation of Pseudomonas aeruginosa. However, although Aspergillus spp. is often isolated in sputum samples from patients with AECOPD, the pathogenic and clinical significance remains unclear.

Usefulness of the CAT, LCOPD, EQ-5D and COPDSS scales in understanding the impact of lung disease in patients with alpha-1 antitrypsin deficiency.

Alpha-1-antitrypsin deficiency (AATD) is an inherited disorder responsible for early onset emphysema associated with a significant impairment of health-related quality of life (HRQoL). Our aim was to assess the usefulness of different instruments to evaluate the HRQoL in patients with AATD compared to non-AATD COPD. Observational, cross-sectional study in which all patients filled out a series of questionnaires: the COPD severity score (COPDSS), the EuroQoL 5-Dimensions (EQ-5D), the Living with COPD (LCOPD) and the COPD Assessment Test (CAT). A total of 96 patients were included, 35 with AATD (mean age 56.5 yrs, 57.1% male and mean FEV1(%) 48.7% and 61 non-AATD COPD (70.3 yrs, 80.3% men and FEV1(%) 47%. The questionnaire scores were similar, with a tendency towards worse scores in AATD for the EQ-5D (VAS) (64.8 (20.2) vs. 71.6 (17.1); p = 0.08). The correlations between the different scores and FEV1(%) were significant in both groups for COPDSS and LCOPD, but not for CAT and EQ-5D. In general, the correlations of scores with FEV1(%) were stronger for AATD compared with non-AATD COPD patients: COPDSS r = -0.570, p < 0.01 for AATD and r = -0.260, p < 0.05 for COPD; LCOPD r = -0.502, p < 0.001 for AATD and r = -0.304, p < 0.05 for non-AATD COPD. Patients with AATD have a similar degree of HRQoL impairment as older subjects with non-AATD COPD and showed a stronger correlation between HRQoL measurements and lung function impairment compared with non-AATD COPD. This may be related to the characteristics of the disease in these patients who are usually younger, with less co-morbidity and lower smoking consumption.

Lack of Clinical Control in COPD Patients Depending on the Target and the Therapeutic Option.

Introduction: According to the Global Initiative for chronic obstructive lung disease (GOLD), when a treatment is not achieving an appropriate response it should be switched taking into account the predominant treatable trait to target (dyspnea or exacerbations). The objective of the present study was to investigate the lack of clinical control according to the target and medication groups. Materials and Methods: This was a post-hoc analysis of the CLAVE study, an observational, cross-sectional, multicenter study which evaluated the clinical control, and related-factors, in a cohort of 4801 patients with severe chronic obstructive pulmonary disease (COPD). The primary endpoint was the percentage of uncontrolled patients defined as COPD Assessment Test (CAT) >16 or presence of exacerbations in the last 3 months despite receiving long-acting beta2-agonist (LABA) and/or long-acting antimuscarinic antagonist (LAMA) with or without inhaled corticosteroids (ICS). Secondary objectives included the description of sociodemographic and clinical characteristics of patients by therapeutic group and the identification of characteristics potentially associated with the lack of control of COPD including low adherence measured by the test to adherence to inhalers (TAI). Results: In the dyspnea pathway, lack of clinical control was of 25.0% of patients receiving LABA or LAMA in monotherapy, 29.5% by those with LABA + LAMA, 38.3% with LABA + ICS and 37.0% with triple therapy (LABA + LAMA + ICS). In the exacerbation pathway, percentages were 87.1%, 76.7%, 83.3%, and 84.1%, respectively. Low physical activity and high Charlson comorbidity index were independent factor of non-control in all therapeutic groups. Additional factors were lower post-bronchodilator FEV1 and poor adherence to inhalers. Conclusion: There are still room for improvement in COPD control. From the pharmacological perspective, every step in treatment have a pool of uncontrolled patients in which a step-up could be considered according to a trait to target strategy.

Association Between Rome Classification Among Hospitalized Patients With COPD Exacerbations and Short-Term and Intermediate-Term Outcomes.

BACKGROUND: Recently, the Rome proposal updated the definition of exacerbation of COPD (ECOPD). However, such severity grade has not yet demonstrated intermediate-term clinical relevance. RESEARCH QUESTION: What is the association between the Rome severity classification and short-term and intermediate-term clinical outcomes? STUDY DESIGN AND METHODS: We retrospectively grouped hospitalized patients with ECOPD according to the Rome severity classification (ie, mild, moderate, severe). Baseline, clinical, microbiologic, gas analysis, and laboratory variables were collected. In addition, data about the length of hospital stay and mortality (in-hospital and a follow-up time line from 6 months until 3 years) were assessed. RESULTS: Of the 347 hospitalized patients, 39% were categorized as mild, 31% were categorized as moderate, and 30% were categorized as severe. Overall, patients with severe ECOPD had an extended length of hospital stay. Although in-hospital mortality was similar among groups, patients with severe ECOPD presented a worse prognosis in all follow-up time points. The Kaplan-Meier curves show the role of the severe classification in the cumulative survival at 1 and 3 years (Gehan-Breslow-Wilcoxon test, P = .032 and P = .004, respectively). The multivariable Cox regression analysis showed a higher risk of death at 1 year when patients presented a severe (hazard ratio, 1.99; 95% CI, 1.49-2.65) or moderate grade (hazard ratio, 1.47; 95% CI, 1.10-1.97) compared with a mild grade. Older patients (aged ≥ 80 years), patients requiring long-term oxygen therapy, or patients reporting previous ECOPD episodes had a higher mortality risk. A BMI between 25 and 29 kg/m2 was associated with a lower risk. INTERPRETATION: The Rome classification makes it possible to discriminate patients with a worse prognosis (severe or moderate) until a 3-year follow-up.

Procalcitonin and C-reactive protein to rule out early bacterial coinfection in COVID-19 critically ill patients.

PURPOSE: Although the prevalence of community-acquired respiratory bacterial coinfection upon hospital admission in patients with coronavirus disease 2019 (COVID-19) has been reported to be < 5%, almost three-quarters of patients received antibiotics. We aim to investigate whether procalcitonin (PCT) or C-reactive protein (CRP) upon admission could be helpful biomarkers to identify bacterial coinfection among patients with COVID-19 pneumonia. METHODS: We carried out a multicentre, observational cohort study including consecutive COVID-19 patients admitted to 55 Spanish intensive care units (ICUs). The primary outcome was to explore whether PCT or CRP serum levels upon hospital admission could predict bacterial coinfection among patients with COVID-19 pneumonia. The secondary outcome was the evaluation of their association with mortality. We also conducted subgroups analyses in higher risk profile populations. RESULTS: Between 5 February 2020 and 21 December 2021, 4076 patients were included, 133 (3%) of whom presented bacterial coinfection. PCT and CRP had low area under curve (AUC) scores at the receiver operating characteristic (ROC) curve analysis [0.57 (95% confidence interval (CI) 0.51-0.61) and 0.6 (95% CI, 0.55-0.64), respectively], but high negative predictive values (NPV) [97.5% (95% CI 96.5-98.5) and 98.2% (95% CI 97.5-98.9) for PCT and CRP, respectively]. CRP alone was associated with bacterial coinfection (OR 2, 95% CI 1.25-3.19; p = 0.004). The overall 15, 30 and 90 days mortality had a higher trend in the bacterial coinfection group, but without significant difference. PCT ≥ 0.12 ng/mL was associated with higher 90 days mortality. CONCLUSION: Our study suggests that measurements of PCT and CRP, alone and at a single time point, are not useful for ruling in or out bacterial coinfection in viral pneumonia by COVID-19.

Sputum purulence-guided antibiotic use in hospitalised patients with exacerbations of COPD.

In patients with acute exacerbations of chronic obstructive pulmonary disease (COPD) needing hospitalisation, sputum purulence is associated with bacteria in the lower respiratory tract. We performed a prospective non-randomised interventional pilot study applying a sputum purulence-guided strategy of antibiotic treatment and investigating the relationship between sputum purulence and biomarkers. In hospitalised patients with acute exacerbation of COPD antibiotics were restricted to those with purulent sputum. The primary end-point was rate of therapeutic failure during hospitalisation. Secondary end-points were parameters reflecting short- and long-term outcomes. We included 73 patients, 34 with non-purulent sputum. No differences were observed on therapeutic failure criteria (9% non-purulent versus 10% purulent (p=0.51)). Serum C-reactive protein (CRP) was significantly increased in the purulent group at admission (11.6 versus 5.3, p=0.006) and at day 3 (2.7 versus 1.2, p=0.01). Serum procalcitonin (PCT) was similar between the groups. No differences were found in short-term outcomes. The exacerbation rate at 180 days was higher in the purulent group. These results support the hypothesis of performing a randomised trial using a sputum purulence-guided antibiotic treatment strategy in patients with acute exacerbations of COPD. CRP, but not PCT, may be a useful parameter to increase confidence of the absence of bacterial bronchial infection.

Predictors of adverse outcome in patients hospitalised for exacerbation of chronic obstructive pulmonary disease.

BACKGROUND: It is crucial to identify risk factors for poor evolution of patients admitted to hospital with chronic obstructive pulmonary disease (COPD) in order to provide adequate intensive therapy and closer follow-up. OBJECTIVES: To identify predictors of adverse outcomes in patients hospitalised for exacerbation of COPD. METHODS: A prospective, observational study was conducted in patients admitted for exacerbation of COPD. Demographic and clinical parameters were evaluated, including different multidimensional prognostic scores. Adverse outcomes included the following: death during hospitalisation or 1-month follow-up, intensive care unit admission, invasive or non-invasive mechanical ventilation, prolonged hospitalisation (>11 days) and COPD-related emergency visit or readmission within 1 month after discharge. Univariate and multivariate analysis were performed. RESULTS: Of 155 patients included, an adverse outcome occurred in 69 (45%). Patients with an adverse outcome had lower forced expiratory volume in 1 s (p = 0.004) and more frequent exacerbations (p = 0.011), more frequently used oxygen at home (p = 0.042) and presented with lower pH (p < 0.001), lower ratio of arterial oxygen pressure to the fraction of inspired oxygen (p = 0.006), higher arterial carbon dioxide pressure (p < 0.001) and a worse score on several prognostic indices at admission. Independent predictors of adverse outcome were exacerbation of COPD in the previous year [odds ratio 3.9, 95% confidence interval (CI) 1.6-9.9; p = 0.004], hypercapnia (odds ratio 9.4, 95% CI 3.7-23.6; p < 0.001) and hypoxaemia (odds ratio 4.3, 95% CI 1.5-12.6; p = 0.008). In the presence of all three characteristics, the probability of an adverse outcome was 95%, while hypercapnia was the strongest prognostic factor with a risk of 54%. CONCLUSIONS: Patients with previous exacerbation of COPD, hypercapnia and hypoxaemia had the highest risk of an unfavourable evolution. The calculation of prognostic indices did not provide additional discriminative power.

Methodology of a Large Multicenter Observational Study of Patients with COVID-19 in Spanish Intensive Care Units.

INTRODUCTION: The COVID-19 pandemic created tremendous challenges for health-care systems. Intensive care units (ICU) were hit with a large volume of patients requiring ICU admission, mechanical ventilation, and other organ support with very high mortality. The Centro de Investigación Biomédica en Red-Enfermedades Respiratorias (CIBERES), a network of Spanish researchers to investigate in respiratory disease, commissioned the current proposal in response to the Instituto de Salud Carlos III (ISCIII) call. METHODS: CIBERESUCICOVID is a multicenter, observational, prospective/retrospective cohort study of patients with COVID-19 admitted to Spanish ICUs. Several work packages were created, including study population and ICU data collection, follow-up, biomarkers and miRNAs, data management and quality. RESULTS: This study included 6102 consecutive patients admitted to 55 ICUs homogeneously distributed throughout Spain and the collection of blood samples from more than 1000 patients. We enrolled a large population of COVID-19 ICU-admitted patients including baseline characteristics, ICU and MV data, treatments complications, and outcomes. The in-hospital mortality was 31%, and 76% of patients required invasive mechanical ventilation. A 3-6 month and 1 year follow-up was performed. Few deaths after 1 year discharge were registered. Low anti-SARS-CoV-2 S antibody levels predict mortality in critical COVID-19. These antibodies contribute to prevent systemic dissemination of SARS-CoV-2. The severity of COVID-19 impacts the circulating miRNA profile. Plasma miRNA profiling emerges as a useful tool for risk-based patient stratification in critically ill COVID-19 patients. CONCLUSIONS: We present the methodology used in a large multicenter study sponsored by ISCIII to determine the short- and long-term outcomes in patients with COVID-19 admitted to more than 50 Spanish ICUs.