Real-life burden of hospitalizations due to COPD exacerbations in Spain

Smokers and risk of hospital death by COVID calculated with SAVANA's natural language processing in the Castilla-La Mancha area

INTRODUCTION

During the COVID pandemic, it was speculated that patients with the virus who were smoking-related might have a lower likelihood of disease exacerbation or death. To assess whether there is an association between smoking and risk of in-hospital mortality, SAVANA's big data and Natural Language Processing (NLP) technology is used.

METHOD

A retrospective, observational, non-interventional cohort study was conducted based on real-life data extracted from medical records throughout Castilla La Mancha using Natural Language Processing and Artificial Intelligence techniques developed by SAVANA. The study covered the entire population of this region with Electronic Medical Records in SESCAM presenting with a diagnosis of COVID from March 1, 2020 to February 28, 2021.

RESULTS

Smokers had a significantly higher percentage of cardiovascular risk factors (hypertension, dyslipidemia and diabetes), COPD, asthma, IDP, IC, CVD, PTE, cancer in general and lung cancer in particular, bronchiectasis, heart failure and a history of pneumonia (p < 0.0001).Former smokers, current smokers and non-smokers have a significant age difference. As for in-hospital deaths, they were more frequent in the case of ex-smokers, followed by smokers and then non-smokers (p < 0.0001).

CONCLUSION

There is an increased risk of dying in hospital in SARS-COV2-infected patients who are active smokers or have smoked in the past.

The Clinical Profile of Patients with COPD Is Conditioned by Age

In recent years, many studies have analyzed the importance of integrating time, or aging, into the equation that relates genetics and the environment to the development and origin of COPD. Under conditions of daily clinical practice, our study attempts to identify the differences in the clinical profile of patients with COPD according to age and the impact on the global burden of the disease. This study is non-interventional and observational, using artificial intelligence and data captured from electronic medical records. The study population included patients who were diagnosed with COPD between 2011 and 2021. A total of 73,901 patients had a diagnosis of COPD. The mean age was 73 years (95% CI: 72.9-73.1), and 56,763 were men (76.8%). We observed a specific prevalence of obesity, heart failure, depression, and hiatal hernia in women (p < 0.001), and ischemic heart disease and obstructive sleep apnea (OSA) in men (p < 0.001). In the analysis by age ranges, a progressive increase in cardiovascular risk factors was observed with age. In conclusion, in a real-life setting, COPD is a disease that primarily affects older subjects and frequently presents with comorbidities that are decisive in the evolutionary course of the disease.

The impact of the SARS-CoV-2 pandemic on the demographic, clinical and social profiles of patients admitted to the Pneumology Department for a COPD exacerbation

INTRODUCTION

Although a reduction in admissions for pathologies other than SARS-CoV-2 has been reported during the pandemic, there are hardly any specific studies in relation to COPD. The objective of this study was to analyse differences in the profile of those admitted for AEPOC and their prognosis during this period.

METHODS

Prospective study (SocioEPOC validation cohort) conducted in two hospitals. Demographic, clinical and social characteristics were compared among patients admitted for an AECOPD before and after the declaration of the COVID-19 healthcare emergency. Mortality and the need for hospital care in the following 3 months were analysed.

RESULTS

340 patients (76.6% male, 72 years, FEV1 43.5%) were included, 174 in the post-pandemic phase. During pandemic, especially before population-level vaccination, admissions for AECOPD were in patients with more severe disease and with a higher level of eosinophils. No differences were found in social profile, except they had more informal caregivers. The mortality rate at 90 days was the same (9%), although those admitted during the pandemic came for more hospital visits in the following 3 months (53.8% vs. 42%; p = 0.003), with the pandemic phase being an independent predictor of this possibility (OR = 1.6.; 95% IC = 1.1-2.6).

CONCLUSIONS

In the first few months of the pandemic, the clinical profile of patients hospitalised for an AECOPD differed from that both prior to this period and during the latter months of the pandemic, with minimal changes at the social level. Although the mortality rate were similar, unscheduled hospital visits increased during the COVID-19 pandemic.

[Protocol for the management of patients with chronic obstructive pulmonary disease after exacerbation in the emergency department]

In chronic obstructive pulmonary disease, an acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is an episode of clinical instability due to the worsening of expiratory airflow limitation or of the underlying inflammatory process. The severity of AECOPD depends on baseline risk stratification and the intensity of the acute episode. Primary Care is the epicenter of the AECOPD care circuit, but it can be extended to the out-of-hospital emergency department and the hospital itself depending on the clinical situation, the level of severity, the availability of complementary tests, and the therapeutic resources required for each patient. Recording clinical data, history, triggering factors, treatment, and evolution of previous episodes of AECOPD in the electronic medical record is an essential aspect to adjust current treatment and prevent the occurrence of future episodes.