Risk factors for all-cause hospital readmission following exacerbation of COPD: a systematic review and meta-analysis

Mepolizumab for COPD with Eosinophilic Phenotype following Hospitalization

BACKGROUND

Admission to hospital with an acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is associated with a high risk of morbidity and mortality. Biologic treatment reduces COPD exacerbations in patients with eosinophilic inflammation. Mepolizumab, a monoclonal antibody to interleukin 5, reduces eosinophilic inflammation, but its effects on future hospitalization and mortality are uncertain.

METHODS

In this phase 2b, double-blind, placebo-controlled trial, we randomly assigned patients hospitalized with an AECOPD and a blood eosinophil count greater than or equal to 300 cells/μl any time in the preceding 12 months to receive either mepolizumab 100 mg or placebo every 4 weeks for 48 weeks, with treatment initiated at hospital discharge. The primary end point was the time to readmission or death from any cause. Key secondary end points included the number of hospital readmissions, exacerbations, and health-related quality of life.

RESULTS

A total of 238 patients were randomly assigned. The median time to hospitalization or death due to any cause was 25.4 weeks and 26.1 weeks in the mepolizumab and placebo groups, respectively, with Kaplan-Meier estimates of 33.9% and 31.0%, respectively (hazard ratio, 0.96; 95% confidence interval [CI], 0.70 to 1.32; P=0.811). The adjusted mean number of hospital readmissions was 1.65 (95% CI, 1.25 to 2.05) with mepolizumab and 1.85 (95% CI, 1.42 to 2.29) with placebo (risk ratio, 0.89; 95% CI, 0.64 to 1.25). The adjusted mean number of moderate or severe exacerbations was 2.80 (95% CI, 2.36 to 3.23) with mepolizumab and 3.45 (95% CI, 2.94 to 3.95) with placebo (risk ratio 0.81; 95% CI, 0.66 to 1.00). The numbers of adverse events and serious adverse events were similar between groups. No serious adverse event was attributed to the intervention.

CONCLUSIONS

Patients hospitalized with an AECOPD and eosinophilic inflammation of greater than 300 cells/μl of blood within the prior 12 months, had no benefit in risk of time to readmission or death following treatment with mepolizumab for 48 weeks. The observed change in moderate or severe exacerbations, which included the null in the upper bound of the 95% confidence interval, was in the direction observed in previous trials. (Funded by GSK plc; ClinicalTrials.gov number, NCT04075331.).

Mapping the Global distribution, risk factors, and temporal trends of COPD incidence and mortality (1990-2021): ecological analysis

BACKGROUND

Chronic Obstructive Pulmonary Disease (COPD) remains a significant global public health challenge, contributing to substantial morbidity and mortality worldwide. This study aims to analyze global trends in COPD from 1990 to 2021, with a focus on age, sex, and regional variations. By assessing the global burden of COPD and its association with key risk factors, this research provides critical insights into progress toward health-related Sustainable Development Goals (SDGs) and underscores the urgent need to prioritize COPD in public health agendas.

METHODS

Utilizing data from the Global Burden of Disease (GBD) study, this research conducted a comprehensive ecological analysis of COPD epidemiology from 1990 to 2021. Key measures included incidence, mortality, and age-standardized rates, alongside an examination of risk factors such as smoking and ambient particulate matter pollution, quantified using country-level summary exposure values (SEV). Statistical analyses, including descriptive analysis, annual rate of change (ARC), and correlation analysis, were applied to assess the burden of COPD and investigate its ecological associations with major risk factors.

RESULTS

In 2021, COPD accounted for 16.90 million new cases and 3.70 million deaths globally. The age-standardized incidence rate was 197.37 (95% UI: 181.6-213.42) per 100,000 person-years, while the age-standardized mortality rate was 45.22 (95% UI: 40.61-49.70) per 100,000 person-years. Although global COPD incidence rates declined by 2% from 1990 to 2021, the pace and extent of this decline varied, with some age groups, sexes, and regions experiencing slower reductions or even increases. Higher COPD burden was observed in areas with elevated smoking prevalence, air pollution and greater socioeconomic development.

CONCLUSIONS

This study highlights the ongoing global burden of COPD and its varying trends from 1990 to 2021 across age groups, sexes, and regions. While incidence and mortality rates have slightly declined, disparities persist, particularly among older adults, men, and regions with higher smoking prevalence and air pollution. These findings emphasize the urgent need to integrate COPD into public health priorities, focusing on targeted interventions to reduce key risk factors. Sustained efforts are essential to achieving health-related Sustainable Development Goals (SDGs) and improving global COPD outcomes.

A MEMS seismometer respiratory monitor for work of breathing assessment and adventitious lung sounds detection via deep learning

Physicians evaluate a patient's respiratory health during a physical examination by visual assessment of the work of breathing (WoB) to determine respiratory stability, and by detecting abnormal lung sounds via lung auscultation using a stethoscope to identify common pathological lung diseases, such as chronic obstructive pulmonary disease (COPD) and pneumonia. Since these assessment methods are subjective, a low-profile device used for an accurate and quantitative monitoring approach could provide valuable preemptive insights into respiratory health, proving to be clinically beneficial. To achieve this goal, we have developed a miniature patch consisting of a sensitive wideband multi-axis seismometer that can be placed on the anatomical areas of a patient's lungs to enable an effective quantification of a patient's WoB and lung sounds. When used on a patch, the seismometer captures chest wall vibrations due to respiratory muscle effort, known as high-frequency mechanomyogram (MMG), during tidal breathing as well as seismic pulmonary-induced vibrations (PIVs) during deep breathing due to normal and/or adventitious lung sounds like crackles, while simultaneously recording respiration rate and phase. A system comprised of multiple patches was evaluated on 124 patients in the hospital setting and shown to accurately assess and quantify a patent's physical signs of WoB by measuring the average respiratory effort extracted from high-frequency MMG signals, demonstrating statistical significance of this method in comparison to clinical bedside observation of WoB and respiration rate. A data fusion deep learning model was developed which combined the inputs of PIVs lung sounds and the corresponding respiration phase to detect crackle, wheeze and normal breath sound features. The model exhibited high accuracy, sensitivity, specificity, precision and F1 score of 93%, 93%, 97%, 93% and 93% respectively, with area under the curve (AUC) of precision recall (PR) of 0.97 on the test set. Additionally, the PIVs with corresponding respiration phase captured from each auscultation point generated an acoustic map of the patient's lung, which correlated with traditional lung radiographic findings.

Predicting COPD Readmission: An Intelligent Clinical Decision Support System

Background: COPD is a chronic disease characterized by frequent exacerbations that require hospitalization, significantly increasing the care burden. In recent years, the use of artificial intelligence-based tools to improve the management of patients with COPD has progressed, but the prediction of readmission has been less explored. In fact, in the state of the art, no models specifically designed to make medium-term readmission predictions (2-3 months after admission) have been found. This work presents a new intelligent clinical decision support system to predict the risk of hospital readmission in 90 days in patients with COPD after an episode of acute exacerbation. Methods: The system is structured in two levels: the first one consists of three machine learning algorithms -Random Forest, Naïve Bayes, and Multilayer Perceptron-that operate concurrently to predict the risk of readmission; the second level, an expert system based on a fuzzy inference engine that combines the generated risks, determining the final prediction. The employed database includes more than five hundred patients with demographic, clinical, and social variables. Prior to building the model, the initial dataset was divided into training and test subsets. In order to reduce the high dimensionality of the problem, filter-based feature selection techniques were employed, followed by recursive feature selection supported by the use of the Random Forest algorithm, guaranteeing the usability of the system and its potential integration into the clinical environment. After training the models in the first level, the knowledge base of the expert system was determined on the training data subset using the Wang-Mendel automatic rule generation algorithm. Results: Preliminary results obtained on the test set are promising, with an AUC of approximately 0.8. At the selected cutoff point, a sensitivity of 0.67 and a specificity of 0.75 were achieved. Conclusions: This highlights the system's future potential for the early identification of patients at risk of readmission. For future implementation in clinical practice, an extensive clinical validation process will be required, along with the expansion of the database, which will likely contribute to improving the system's robustness and generalization capacity.

Reducing Hospital Readmissions in Chronic Obstructive Pulmonary Disease Patients: Current Treatments and Preventive Strategies

COPD is one of the leading causes of death worldwide, so it represents a significant public health challenge. Over the years, new effective therapies have been proposed. However, the burden of COPD is still conditioned by frequent acute events defined as exacerbations (exacerbation of COPD-ECOPD), which have a significant impact not only on the patient's quality of life but also on the progression of the disease, morbidity, and mortality. Related to the severity of the condition, ECOPD may require hospital admission and often repeatedly more admissions (readmission). The phenomenon of readmissions is a significant problem, contributing substantially to the utilisation of healthcare resources and the economic burden of COPD. Related contributing factors are still poorly understood, and managing the patients readmitted to the hospital with ECOPD may be challenging. Hospital readmissions should be optimally managed, including supporting and preventive strategies. Although early readmissions (30 days from discharge) are a marker of the quality of the patient's care, we need to consider COPD patients globally. It is not sufficient to address just the acute events, so multidimensional management is necessary, able to follow the patient over time to identify, by a personalised approach, the correct treatment during and post hospitalisation and intercept any factor affecting the natural history of the disease, comprising the risk of hospital readmissions. In the context of the literature concerning respiratory medicine, particularly COPD patients, our narrative review analyses recent evidence regarding the current management of COPD hospital readmissions, aiming to propose preventive strategies helpful in clinical practice. The proposed strategies can potentially improve clinical outcomes and reduce healthcare costs when effectively implemented in practice.

Frequency of emergency medical service contacts after hospital admissions

Identifying frequent users of Emergency Medical Services (EMS) in the post-discharge period can potentially direct interventions to prevent deterioration at home. This study aimed to describe the frequency of post-discharge emergency phone calls within 30 days after common medical and surgical categories of hospital admission. A retrospective cohort study retrieved data from the electronic medical record and the EMS Capital Region Denmark database after approval by the Danish Health Data Authority. The study investigated the number of 30-day EMS calls per 1000 days alive outside hospital in patients hospitalized due to acute exacerbation of chronic obstructive pulmonary disease (AECOPD), colorectal surgery, and 18 other disease categories. We included 16,338 patients with a discharge from hospital between August 2021 and August 2022.The overall number of EMS calls was 4,263 with 9.1 (95% confidence interval (95% CI)): 8.8-9.4) calls per 1000 patient days within 30 days. Patients discharged after medical hospitalization due to AECOPD contacted EMS 15 (95% CI: 13-16) times per 1000 patient days only surpassed by sepsis with 19 calls per 1000 patient days (95% CI: 17-21). Patients undergoing colorectal surgery had an EMS call frequency of 7.5 (95% CI: 6.4-8.7) and highest among types of surgery was hip- and knee replacements with 12 (95% CI: 11-13) calls per 1000 patient days. Patients discharged after hospitalization due to AECOPD and sepsis had a higher 30-day EMS call frequency compared with other medical cohorts, whereas major orthopedic surgery was followed by more EMS calls than admissions for colorectal surgery.

Readmission rates within the first 30 and 90 days after severe COPD exacerbations (RACE study)

Chronic obstructive pulmonary disease (COPD) frequently results in hospital readmission and contributes to increased morbidity and mortality. This multicenter prospective study aimed to identify factors that increase the risk of readmission within 30 to 90 days of severe COPD exacerbation. A total of 415 patients admitted to the emergency department (ED) or general pulmonology ward after discharge due to severe exacerbations from 13 tertiary centers in Turkey were included. Of the participants, 346 (83.4%) were male and 69 (16.6%) were female, with an average age of 69.0 ± 9.1 years. Readmissions within 30 and 90 days after the initial hospitalization occurred in 176 (42.4%) and 191 (46%) patients, respectively. Prospective data collection focused on exacerbation severity, disease severity, and the utility of initial admissions. Factors for 30 to 90 day readmission were analyzed using univariate and multivariate regression models. A 30-day readmission correlated significantly with Hospital Anxiety Depression Scale scores above 16 [odds ratio [OR] 95% confidence intervals [CI]: 1.9 (1.1-3.6); P = .042], severe exacerbation history in the previous year [OR 95% CI: 1.7 (1.1-2.9); P = .038], hospital-acquired pneumonia [OR 95% CI: 1.9 (1-4.1); P = .049)], and frequent antibiotic use in the previous year [OR 95% CI: 1.8 (1.2-2.7); P = .007]. Risk factors for 90-day readmissions included: Grades 3 to 4 tricuspid regurgitation [OR 95% CI: 2.2 (1.1-4.4); P = .024], 2 or more moderate COPD exacerbations [OR 95% CI: 1.9 (1.2-3.1); P = .010], severe exacerbation history in the previous year [OR 95% CI: 2.5 (1.5-4.2); P = .001], immunosuppression [OR 95% CI: 2.7 (1.2-5.7); P = .013], frequent antibiotic use the previous year [OR 95% CI: 1.5 (1-2.4); P = .048], hospitalization via the ED [OR 95% CI: 1.6 (1.1-2.6); P = .028]. To mitigate complications and readmissions, patients with a history of frequent severe COPD exacerbations, high anxiety and depression scores, frequent antibiotic requirements, immunosuppression, tricuspid regurgitation, hospital-acquired pneumonia, and those admitted to the ED should be prioritized for remote monitoring after initial discharge.

A systematic review and meta-analysis of chronic obstructive pulmonary disease in asia: risk factors for readmission and readmission rate

BACKGROUND

Patients with chronic obstructive pulmonary disease (COPD) often require hospital readmission because of exacerbation of their condition. These frequent exacerbations reduce quality of life, work performance, and emotional health. However, few studies have investigated the risk factors for readmission and readmission rates in Asian patients with COPD. We conducted a systematic review to identify and understand the major risk factors for readmission in patients with COPD in Asia and the readmission rate.

METHOD

We searched PubMed, MEDLINE, Embase, China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform, and China Biomedical Literature Database from database inception to September 2023 to identify studies on the readmission rate and risk factors for COPD in Asian patients. Chinese search terms included "COPD," "chronic obstructive pulmonary disease," "risk factors," "recurrence," "readmission," and "acute exacerbation." English search terms included "chronic obstructive pulmonary disease," "COPD," "lung emphysema," "hospital admission," "patient readmission," and "readmission." We extracted first author, publication year, research area, sample size, sex, risk factors, and readmission rates. The included studies' quality was evaluated using the Agency of Healthcare Research and Quality. Meta-synthesis was conducted on readmission rates and risk factors for readmission. Subgroups were formed by age, research area, sample size, and research type, and meta-regression analysis was conducted on the 30-day, 90-day, and 365-day readmission rates of patients to determine the source of heterogeneity. Finally, the results' robustness was evaluated using sensitivity analysis. Begg and Egger tests were used to evaluate publication bias.

RESULTS

Meta-analysis of 44 studies, with 169,255 participants, indicated that risk factors for COPD readmission in Asia included: history of multiple hospital admissions, ≥ 3 comorbidities, male sex, ratio of eosinophils percentage ≥ 2%, body mass index < 18.5, smoking history, pulmonary heart disease comorbidity, COPD assessment test score > 20, nutritional disorder, Neutrophil-to-Lymphocyte ratio > 7, and FEV1 < 50. The 30-, 90-, and 365-day readmission rates of patients were 19%, 31%, and 42%, respectively.

CONCLUSIONS

Patients with COPD in Asia generally have high readmission rates and different risk factors. To reduce healthcare, economic, and social burdens, interventions should address major risk factors, early prevention, and screening.

Developing and validating prediction models for severe exacerbations and readmissions in patients hospitalised for COPD exacerbation (SERCO) in China: a prospective observational study

BACKGROUND

There is a lack of individualised prediction models for patients hospitalised with chronic obstructive pulmonary disease (COPD) for clinical practice. We developed and validated prediction models of severe exacerbations and readmissions in patients hospitalised for COPD exacerbation (SERCO).

METHODS

Data were obtained from the Acute Exacerbations of Chronic Obstructive Pulmonary Disease Inpatient Registry study (NCT02657525) in China. Cause-specific hazard models were used to estimate coefficients. C-statistic was used to evaluate the discrimination. Slope and intercept were used to evaluate the calibration and used for model adjustment. Models were validated internally by 10-fold cross-validation and externally using data from different regions. Risk-stratified scoring scales and nomograms were provided. The discrimination ability of the SERCO model was compared with the exacerbation history in the previous year.

RESULTS

Two sets with 2196 and 1869 patients from different geographical regions were used for model development and external validation. The 12-month severe exacerbations cumulative incidence rates were 11.55% (95% CI 10.06% to 13.16%) in development cohorts and 12.30% (95% CI 10.67% to 14.05%) in validation cohorts. The COPD-specific readmission incidence rates were 11.31% (95% CI 9.83% to 12.91%) and 12.26% (95% CI 10.63% to 14.02%), respectively. Demographic characteristics, medical history, comorbidities, drug usage, Global Initiative for Chronic Obstructive Lung Disease stage and interactions were included as predictors. C-indexes for severe exacerbations were 77.3 (95% CI 70.7 to 83.9), 76.5 (95% CI 72.6 to 80.4) and 74.7 (95% CI 71.2 to 78.2) at 1, 6 and 12 months. The corresponding values for readmissions were 77.1 (95% CI 70.1 to 84.0), 76.3 (95% CI 72.3 to 80.4) and 74.5 (95% CI 71.0 to 78.0). The SERCO model was consistently discriminative and accurate with C-indexes in the derivation and internal validation groups. In external validation, the C-indexes were relatively lower at 60-70 levels. The SERCO model discriminated outcomes better than prior severe exacerbation history. The slope and intercept after adjustment showed close agreement between predicted and observed risks. However, in external validation, the models may overestimate the risk in higher-risk groups. The model-driven risk groups showed significant disparities in prognosis.

CONCLUSION

The SERCO model provides individual predictions for severe exacerbation and COPD-specific readmission risk, which enables identifying high-risk patients and implementing personalised preventive intervention for patients with COPD.

Associations between outpatient care and later hospital admissions for patients with chronic obstructive pulmonary disease - a registry study from Norway

BACKGROUND

Although chronic obstructive pulmonary disease (COPD) admissions put a substantial burden on hospitals, most of the patients' contacts with health services are in outpatient care. Traditionally, outpatient care has been difficult to capture in population-based samples. In this study we describe outpatient service use in COPD patients and assess associations between outpatient care (contact frequency and specific factors) and next-year COPD hospital admissions or 90-day readmissions.

METHODS

Patients over 40 years of age residing in Oslo or Trondheim at the time of contact in the period 2009-2018 were identified from the Norwegian Patient Registry (in- and outpatient hospital contacts, rehabilitation) and the KUHR registry (contacts with GPs, contract specialists and physiotherapists). These were linked to the Regular General Practitioner registry (characteristics of the GP practice), long-term care data (home and institutional care, need for assistance), socioeconomic and-demographic data from Statistics Norway and the Cause of Death registry. Negative binomial models were applied to study associations between combinations of outpatient care, specific care factors and next-year COPD hospital admissions and 90-day readmissions. The sample consisted of 24,074 individuals.

RESULTS

A large variation in the frequency and combination of outpatient service use for respiratory diagnoses (GP, emergency room, physiotherapy, contract specialist and outpatient hospital contacts) was apparent. GP and outpatient hospital contact frequency were strongly associated to an increased number of next-year hospital admissions (1.2-3.2 times higher by increasing GP frequency when no outpatient hospital contacts, 2.4-5 times higher in combination with outpatient hospital contacts). Adjusted for healthcare use, comorbidities and sociodemographics, outpatient care factors associated with lower numbers of next-year hospitalisations were fees indicating interaction between providers (7% reduction), spirometry with GP or specialist (7%), continuity of care with GP (15%), and GP follow-up (8%) or rehabilitation (18%) within 30 days vs. later following any current year hospitalisations. For 90-day readmissions results were less evident, and most variables were non-significant.

CONCLUSION

As increased use of outpatient care was strongly associated with future hospitalisations, this further stresses the need for good communication between providers when coordinating care for COPD patients. The results indicated possible benefits of care continuity within and interaction between providers.

The IMPROVE trial: study protocol for a pragmatic cluster randomised controlled trial to assess the effectiveness of using lay health workers to improve uptake and completion of pulmonary rehabilitation in patients with chronic obstructive pulmonary disease

BACKGROUND

Pulmonary rehabilitation (PR) is a programme of exercise and education and the most effective treatment for the symptoms and disability associated with chronic obstructive pulmonary disease. However, the benefits of PR are limited by poor uptake and completion. This trial will determine whether using trained volunteer lay health workers, called "PR buddies," improves uptake and completion of PR and is cost-effective. This trial protocol outlines the methods for evaluating effectiveness, cost-effectiveness, and acceptability.

METHODS

The IMPROVE trial is a pragmatic, open, cluster randomised controlled trial planned in 38 PR services across England and Wales. PR services will be randomised to either intervention arm-offering support from PR buddies to patients with chronic obstructive pulmonary disease-or to usual care as the control arm. PR staff in trial sites randomised to the intervention arm will receive training in recruiting and training PR buddies. They will deliver training to volunteers, recruited from among people who have recently completed PR in their service. The 3-day PR-buddy training programme covers communication skills, confidentiality, boundaries of the PR-buddy role and behaviour change techniques to help patients overcome obstacles to attending PR. An internal pilot will test the implementation of the trial in eight sites (four intervention sites and four in control arm). The primary outcome of the trial is the uptake and completion of PR. A process evaluation will investigate the acceptability of the intervention to patients, PR staff and the volunteer PR buddies, and intervention fidelity. We will also conduct a cost-effectiveness analysis.

DISCUSSION

Improving outcomes for chronic obstructive pulmonary disease and access to PR are priorities for the UK National Health Service (NHS) in its long-term plan. The trial hypothesis is that volunteer PR buddies, who are recruited and trained by local PR teams, are an effective and cost-effective way to improve the uptake and completion rates of PR. The trial is pragmatic, since it will test whether the intervention can be incorporated into NHS PR services. Information obtained in this trial may be used to influence policy on the use of PR buddies in PR and other similar services in the NHS.

TRIAL REGISTRATION

ISRCTN12658458. Registered on 23/01/2023.

An overview of reviews and synthesis across 440 studies examines the importance of hospital readmission predictors across various patient populations

OBJECTIVES

The scientific literature contains an abundance of prediction models for hospital readmissions. However, no review has yet synthesized their predictors across various patient populations. Therefore, our aim was to examine predictors of hospital readmissions across 13 patient populations.

STUDY DESIGN AND SETTING

An overview of systematic reviews was combined with a meta-analytical approach. Two thousand five hundred four different predictors were categorized using common ontologies to pool and examine their odds ratios and frequencies of use in prediction models across and within different patient populations.

RESULTS

Twenty-eight systematic reviews with 440 primary studies were included. Numerous predictors related to prior use of healthcare services (odds ratio; 95% confidence interval: 1.64; 1.42-1.89), diagnoses (1.41; 1.31-1.51), health status (1.35; 1.20-1.52), medications (1.28; 1.13-1.44), administrative information about the index hospitalization (1.23; 1.14-1.33), clinical procedures (1.20; 1.07-1.35), laboratory results (1.18; 1.11-1.25), demographic information (1.10; 1.06-1.14), and socioeconomic status (1.07; 1.02-1.11) were analyzed. Diagnoses were frequently used (in 37.38%) and displayed large effect sizes across all populations. Prior use of healthcare services showed the largest effect sizes but were seldomly used (in 2.57%), whereas demographic information (in 13.18%) was frequently used but displayed small effect sizes.

CONCLUSION

Diagnoses and patients' prior use of healthcare services showed large effects both across and within different populations. These results can serve as a foundation for future prediction modeling.

Global mortality and readmission rates following COPD exacerbation-related hospitalisation: a meta-analysis of 65 945 individual patients

BACKGROUND

Exacerbations of COPD (ECOPD) have a major impact on patients and healthcare systems across the world. Precise estimates of the global burden of ECOPD on mortality and hospital readmission are needed to inform policy makers and aid preventive strategies to mitigate this burden. The aims of the present study were to explore global in-hospital mortality, post-discharge mortality and hospital readmission rates after ECOPD-related hospitalisation using an individual patient data meta-analysis (IPDMA) design.

METHODS

A systematic review was performed identifying studies that reported in-hospital mortality, post-discharge mortality and hospital readmission rates following ECOPD-related hospitalisation. Data analyses were conducted using a one-stage random-effects meta-analysis model. This study was conducted and reported in accordance with the PRISMA-IPD statement.

RESULTS

Data of 65 945 individual patients with COPD were analysed. The pooled in-hospital mortality rate was 6.2%, pooled 30-, 90- and 365-day post-discharge mortality rates were 1.8%, 5.5% and 10.9%, respectively, and pooled 30-, 90- and 365-day hospital readmission rates were 7.1%, 12.6% and 32.1%, respectively, with noticeable variability between studies and countries. Strongest predictors of mortality and hospital readmission included noninvasive mechanical ventilation and a history of two or more ECOPD-related hospitalisations <12 months prior to the index event.

CONCLUSIONS

This IPDMA stresses the poor outcomes and high heterogeneity of ECOPD-related hospitalisation across the world. Whilst global standardisation of the management and follow-up of ECOPD-related hospitalisation should be at the heart of future implementation research, policy makers should focus on reimbursing evidence-based therapies that decrease (recurrent) ECOPD.

Rural caregivers' preparedness for detecting and responding to the signs of worsening health conditions in recently hospitalised patients at risk for readmission: a qualitative descriptive study

OBJECTIVES

This study aimed to explore informal rural caregivers' perceived preparedness to detect and respond to the signs of worsening health conditions in patients recently discharged from hospital and at risk for readmission.

DESIGN

A qualitative descriptive design and semistructured interviews were used. Data were thematically analysed.

SETTING

Data collection occurred in 2018 and 2019 in rural communities in Southwestern and Northeastern Ontario, Canada.

PARTICIPANTS

The study included sixteen informal caregivers who were all family members of a relative discharged from hospital at high risk for readmission following hospitalisation mostly for a medical illness (63%). Participants were mostly women (87.5%), living with their relative (62.5%) who was most often a parent (56.3%).

RESULTS

Three themes were identified: (1) warning signs and rural communities, (2) perceived preparedness, and (3) improving preparedness. The first theme elucidates informal caregivers' view that they needed to be prepared because they were taking over care previously provided by hospital healthcare professionals yet lacked accessible medical help in rural communities. The second theme captures informal caregivers' perceptions that they lacked knowledge of how to detect warning signs and how to respond to them appropriately. The last theme illuminates informal caregivers' suggestions for improving preparation related to warning signs.

CONCLUSIONS

Informal caregivers in rural communities were largely unprepared for detecting and responding to the signs of worsening health conditions for patients at high risk for hospital readmission. Healthcare professionals can anticipate that informal caregivers, particularly those whose relatives live far from medical help, need information on how to detect and respond to warning signs, and may prioritise their time to this aspect of postdischarge care for these caregivers.

Respiratory Interventions, Hospital Utilization, and Clinical Outcomes of Persons with COPD and COVID-19

Purpose

Coronavirus disease 2019 (COVID-19) impacted outcomes of persons with chronic respiratory diseases such as chronic obstructive pulmonary disease (COPD). This study investigated the differences in respiratory interventions, hospital utilization, smoking status, and 30-day readmission in those with COPD and COVID-19 based on hospital survival status.

Methods

A retrospective cross-sectional study was conducted from February 2020 to October 2020 and included persons with COPD and COVID-19 infection. We examined respiratory interventions, hospital utilization and outcomes, and 30-day hospital readmission. Chi-square test analysis was used to assess categorical variables, and t-test or Mann-Whitney was used to analyze continuous data based on normality.

Results

Ninety persons were included in the study, 78 (87%) were survivors. The most common comorbidity was hypertension 71 (78.9%) (p = 0.003). Twenty-two (24%) persons were intubated, from whom 12 (15%) survived (p < 0.001). There were 25 (32.1%) and 12 (100%), (p < 0.001) persons who required an ICU admission from the survivor and non-survivor groups, respectively. Among the survivor group, fifteen (19%) persons required 30-day hospital readmission.

Conclusion

Persons with COPD and COVID-19 had a lower mortality rate (13%) compared to other studies in the early pandemic phase. Non-survivors had increased ICU utilization, endotracheal intubation, and more frequent application of volume control mode. Discharging survivors to long-term acute care facilities may reduce 30-day hospital readmissions.

Predictors of Readmission, for Patients with Chronic Obstructive Pulmonary Disease (COPD) - A Systematic Review

Introduction

Chronic obstructive pulmonary disease (COPD) is the third-leading cause of death globally and is responsible for over 3 million deaths annually. One of the factors contributing to the significant healthcare burden for these patients is readmission. The aim of this review is to describe significant predictors and prediction scores for all-cause and COPD-related readmission among patients with COPD.

Methods

A search was conducted in Ovid MEDLINE, Ovid Embase, Cochrane Database of Systematic Reviews, and Cochrane Central Register of Controlled Trials, from database inception to June 7, 2022. Studies were included if they reported on patients at least 40 years old with COPD, readmission data within 1 year, and predictors of readmission. Study quality was assessed. Significant predictors of readmission and the degree of significance, as noted by the p-value, were extracted for each study. This review was registered on PROSPERO (CRD42022337035).

Results

In total, 242 articles reporting on 16,471,096 patients were included. There was a low risk of bias across the literature. Of these, 153 studies were observational, reporting on predictors; 57 studies were observational studies reporting on interventions; and 32 were randomized controlled trials of interventions. Sixty-four significant predictors for all-cause readmission and 23 for COPD-related readmission were reported across the literature. Significant predictors included 1) pre-admission patient characteristics, such as male sex, prior hospitalization, poor performance status, number and type of comorbidities, and use of long-term oxygen; 2) hospitalization details, such as length of stay, use of corticosteroids, and use of ventilatory support; 3) results of investigations, including anemia, lower FEV1, and higher eosinophil count; and 4) discharge characteristics, including use of home oxygen and discharge to long-term care or a skilled nursing facility.

Conclusion

The findings from this review may enable better predictive modeling and can be used by clinicians to better inform their clinical gestalt of readmission risk.

30-Day Readmission Rate of Patients with COPD and Its Associated Factors: A Retrospective Cohort Study from a Tertiary Care Hospital

Purpose

Readmission of chronic obstructive pulmonary disease (COPD) has been used as a measure of performance for COPD care. This study aimed to determine the rate of readmission of COPD in tertiary care hospital in Malaysia and its associated factors.

Patients and Methods

A retrospective cohort study was conducted at a tertiary care hospital in Malaysia from 1st January to 21st May 2019. Seventy admissions for COPD exacerbation involving 58 patients were analyzed.

Results

The majority of the patients were male (89.8%), had a mean age of 71.95 ± 7.24 years and a median smoking history of 40 (IQR = 25) pack-years, 84.5% were in GOLD group D and 91.4% had a mMRC grading of 2 or greater. Approximately 60.3% had upper or lower respiratory tract infection as the cause of exacerbation; one in five patients had uncompensated hypercapnic respiratory failure at presentation, and 27.6% needed mechanical ventilatory support. Approximately 43.1% of patients had a history of exacerbation that required hospitalisation in the past year. The mean blood eosinophil concentration was 0.38 ± 0.46 x109 cells/L. The 30-day readmission rate was 20.3%, revisit rate to the emergency room within 30 days after discharge was 3.4%, and in-hospital mortality rate was 1.7%. Among all characteristics, a higher baseline mMRC grade (p = 0.038) and history of exacerbation in the past 1 year (p < 0.001) were statistically associated with 30-day readmission.

Conclusion

The 30-day readmission rate for COPD exacerbation in a Malaysian tertiary hospital is similar to the rates in high-income countries. Exacerbation in the previous year and a higher baseline mMRC grading were significant risk factors for 30-day readmission in patients with COPD. Strategies of COPD management should concentrate on improvement of symptoms control by optimisation of pharmacotherapy, and early initiation of pulmonary rehabilitation, and structured integrated care programs to reduce readmission rates.

Endobronchial lung volume reduction with valves reduces exacerbations in severe emphysema patients

BACKGROUND AND OBJECTIVE

Exacerbations drive the progression of chronic obstructive pulmonary disease (COPD). Endoscopic lung volume reduction (ELVR) with valves is an established treatment option for patients with severe emphysema. Post-interventional exacerbations are observed in 8-17% of cases. Whether the exacerbation rate changes in the medium term after ELVR, is not known.

METHODS

This is a single-center retrospective analysis of severe emphysema patients with endobronchial valve implantation. The number of exacerbations before and after ELVR was compared, including lung function parameters, exercise capacity and degree of lung volume reduction. The primary endpoint of the study was the number of exacerbations one year after ELVR compared to one year before ELVR.

RESULTS

129 patients (mean age 64.1 ± 7.7 years, 57% female, mean FEV1 0.8 ± 0.2 l, mean RV 243.4 ± 54.9 %) with ELVR in the years 2016-2019 and complete exacerbation history were analyzed. Patients experienced a mean of 2.5 ± 2.2 moderate and severe exacerbations in the year before ELVR. The number of exacerbations decreased significantly to 1.8 ± 2.2 exacerbations in the first year after ELVR (p = 0.009). The decrease in exacerbation rate was associated with the development of complete lobar atelectasis (r = 0.228. p = 0.009). Accordingly, in 41 patients with complete lobar atelectasis, the decrease in exacerbation rate was higher from 2.8 ± 2.0 to 1.4 ± 1.8 exacerbations (p < 0.001).

CONCLUSIONS

ELVR with valves appears promising to reduce the exacerbation rate in COPD patients, especially when the full treatment benefit of complete lobar atelectasis is achieved.

Risks for Readmission Among Older Patients With Chronic Obstructive Pulmonary Disease: An Analysis Using Korean National Health Insurance Service - Senior Cohort Data

OBJECTIVES

The high readmission rate of patients with chronic obstructive pulmonary disease (COPD) has led to the worldwide establishment of proactive measures for identifying and mitigating readmissions. This study aimed to identify factors associated with readmission, as well as groups particularly vulnerable to readmission that require transitional care services.

METHODS

To apply transitional care services that are compatible with Korea's circumstances, targeted groups that are particularly vulnerable to readmission should be identified. Therefore, using the National Health Insurance Service's Senior Cohort database, we analyzed data from 4874 patients who were first hospitalized with COPD from 2009 to 2019 to define and analyze readmissions within 30 days after discharge. Logistic regression analysis was performed to determine factors correlated with readmission within 30 days.

RESULTS

The likelihood of readmission was associated with older age (for individuals in their 80s vs. those in their 50s: odds ratio [OR], 1.59; 95% confidence interval [CI], 1.19 to 2.12), medical insurance type (for workplace subscribers vs. local subscribers: OR, 0.84; 95% CI, 0.72 to 0.99), type of hospital (those with 300 beds or more vs. fewer beds: OR, 0.77; 95% CI, 0.66 to 0.90), and healthcare organization location (provincial areas vs. the capital area: OR, 1.66; 95% CI, 1.14 to 2.41).

CONCLUSIONS

Older patients, patients holding a local subscriber insurance qualification, individuals admitted to hospitals with fewer than 300 beds, and those admitted to provincial hospitals are suggested to be higher-priority for transitional care services.

Predictive Strategies to Reduce the Risk of Rehospitalization with a Focus on Frail Older Adults: A Narrative Review

Frailty is a geriatric syndrome that has physical, cognitive, psychological, social, and environmental components and is characterized by a decrease in physiological reserves. Frailty is associated with several adverse health outcomes such as an increase in rehospitalization rates, falls, delirium, incontinence, dependency on daily living activities, morbidity, and mortality. Older adults may become frailer with each hospitalization; thus, it is beneficial to develop and implement preventive strategies. The present review aims to highlight the epidemiological importance of frailty in rehospitalization and to compile predictive strategies and related interventions to prevent hospitalizations. Firstly, it is important to identify pre-frail and frail older adults using an instrument with high validity and reliability, which can be a practically applicable screening tool. Comprehensive geriatric assessment-based care is an important strategy known to reduce morbidity, mortality, and rehospitalization in older adults and aims to meet the needs of frail patients with a multidisciplinary approach and intervention that includes physiological, psychological, and social domains. Moreover, effective multimorbidity management, physical activity, nutritional support, preventing cognitive frailty, avoiding polypharmacy and anticholinergic drug burden, immunization, social support, and reducing the caregiver burden are other recommended predictive strategies to prevent post-discharge rehospitalization in frail older adults.

Recent functional decline and outpatient follow-up after hospital discharge: a cohort study

BACKGROUND

Functional decline is common following acute hospitalization and is associated with hospital readmission, institutionalization, and mortality. People with functional decline may have difficulty accessing post-discharge medical care, even though early physician follow-up has the potential to prevent poor outcomes and is integral to high-quality transitional care. We sought to determine whether recent functional decline was associated with lower rates of post-discharge physician follow-up, and whether this association changed during the COVID-19 pandemic, given that both functional decline and COVID-19 may affect access to post-discharge care.

METHOD

We conducted a retrospective cohort study using health administrative data from Ontario, Canada. We included patients over 65 who were discharged from an acute care facility during March 1st, 2019 - January 31st, 2020 (pre-COVID-19 period), and March 1st, 2020 - January 31st, 2021 (COVID-19 period), and who were assessed for home care while in hospital. Patients with and without functional decline were compared. Our primary outcome was any physician follow-up visit within 7 days of discharge. We used propensity score weighting to compare outcomes between those with and without functional decline.

RESULTS

Our study included 21,771 (pre-COVID) and 17,248 (COVID) hospitalized patients, of whom 15,637 (71.8%) and 12,965 (75.2%) had recent functional decline. Pre-COVID, there was no difference in physician follow-up within 7 days of discharge (Functional decline 45.0% vs. No functional decline 44.0%; RR = 1.02, 95% CI 0.98-1.06). These results did not change in the COVID-19 period (Functional decline 51.1% vs. No functional decline 49.4%; RR = 1.03, 95% CI 0.99-1.08, Z-test for interaction p = 0.72). In the COVID-19 cohort, functional decline was associated with having a 7-day physician virtual visit (RR 1.15; 95% CI 1.08-1.24) and a 7-day physician home visit (RR 1.64; 95% CI 1.10-2.43).

CONCLUSIONS

Functional decline was not associated with reduced 7-day post-discharge physician follow-up in either the pre-COVID-19 or COVID-19 periods. In the COVID-19 period, functional decline was positively associated with 7-day virtual and home-visit follow-up.

Re-exacerbation within 30 days of discharge is associated with poor prognosis in the following year among patients hospitalised with exacerbation of chronic obstructive pulmonary disease: a clinical cohort study

BACKGROUND

Exacerbation of chronic obstructive pulmonary disease (ECOPD) is a complex phenomenon, with marked heterogeneity in the aetiology, pathophysiology and clinical manifestations. This study aimed to evaluate the clinical characteristics and long-term outcomes of patients with 30-day exacerbation among those hospitalised with ECOPD in China.

METHODS

Data from the Acute Exacerbations of Chronic Obstructive Pulmonary Disease Inpatient Registry were used in this study. The patients were divided into re-event and non-event groups based on the incidence of re-exacerbation within 30 days of discharge. Exacerbation, severe exacerbation and all-cause readmissions in the following 12 months were the outcomes of interest. The cumulative incidence rates and incidence densities were calculated. Multivariate hazard function models were used to determine the association between 30-day re-exacerbation and the long-term outcomes after accounting for the competing risk of death.

RESULTS

Re-exacerbation within 30 days of discharge was observed in 4.9% (n=242) of the patients (n=4963). The cumulative incidence rates and incidence densities of exacerbation, severe exacerbation and all-cause readmissions in the event group were significantly higher than those in the non-event group. After adjustment, re-exacerbation within 30 days of discharge was associated with increased risks of exacerbation, severe exacerbation and all-cause readmissions in the following 12 months (adjusted HR: 3.85 (95% CI: 3.09 to 4.80), 3.46 (2.66 to 4.50) and 3.28 (2.52 to 4.25) accordingly).

CONCLUSION

Re-exacerbation of COPD within 30 days of discharge is a significant predictor of long-term prognosis. In clinical practice, short-term re-exacerbation is a significant clinical phenotype of ECOPD that requires careful management at the earliest.

Mortality and readmission risk for hospitalised patients with acute exacerbation of COPD with and without spirometric obstruction: a longitudinal observational study in China

OBJECTIVE

To compare the clinical features and outcomes in patients with pre-chronic obstructive pulmonary disease (COPD) and COPD hospitalised for confirmed or suspected acute exacerbation of COPD (AECOPD).

DESIGN

A multicentre, longitudinal observational cohort study.

SETTING

Data were obtained from the AECOPD Inpatient Registry Study in China.

PARTICIPANTS

5896 patients hospitalised for AECOPD between 2017 and 2021.

OUTCOMES

Patients were divided into the COPD (n=5201) and pre-COPD (n=695) groups according to the lung function test results. The outcomes of interest included all-cause, respiratory disease-related and cardiovascular disease-related deaths as well as readmissions within 30 days and 12 months after discharge. Cumulative incidence functions were used to estimate the risk of cause-specific mortality and readmission. Multivariate hazard function models were used to determine the association between lung function and outcomes.

RESULTS

There were significant between-group differences in the symptoms at admission and medication use during hospitalisation. However, there was no significant between-group difference in the 30-day all-cause mortality (0.00 vs 2.23/1000 person-month (pm), p=0.6110) and readmission (33.52 vs 30.64/1000 pm, p=0.7175). Likewise, the 30-day and 12-month cause-specific outcomes were not significantly different between groups (30-day readmission with acute exacerbation (AE): 26.07 vs 25.11/1000 pm; 12-month all-cause mortality: 0.20 vs 0.93/1000 pm; all-cause readmission: 11.49 vs 13.75/1000 pm; readmission with AE: 9.15 vs 11.64/1000 pm, p>0.05 for all comparisons). Cumulative incidence curves revealed no significant between-group differences in the 30-day and 12-month prognosis (p>0.05). Multivariate analysis revealed no significant association of lung function categories with 30-day and 12-month mortality or readmission (p>0.05 for all effect estimations).

CONCLUSIONS

Patients with pre-COPD have mild symptoms and similar risks for mortality and readmission during follow-up as patients with COPD. Patients with pre-COPD should receive optimal therapies before the occurrence of irreversible damage.

Risk Factors of Readmission Within 90 Days for Chronic Obstructive Pulmonary Disease Patients with Frailty and Construction of an Early Warning Model

Objective

This study aimed to explore the risk factors for readmission within 90 d in Chronic Obstructive Pulmonary Disease (COPD) patients with frailty and construct a clinical warning model.

Methods

COPD patients with frailty hospitalized in the Department of Respiratory and Critical Care Medicine of Yixing Hospital, Affiliated to Jiangsu University, were retrospectively collected from January 1, 2020, to June 30, 2022. Patients were divided into readmission and control groups according to readmission within 90 d. The clinical data of the two groups were evaluated by univariate and multivariate logistic regression analyses to identify readmission risk factors within 90 d in COPD patients with frailty. Then, a risk quantitative early warning model was constructed. Finally, the model's prediction efficiency was evaluated, and external verification was carried out.

Results

The multivariate logistic regression analysis showed that BMI, number of hospitalizations in the past year ≥ 2, CCI, REFS, and 4MGS were independent risk factors for readmission within 90 d in COPD patients with frailty. The early warning model for these patients was established as follows: Logit (p) = -1.896 + (-0.166 × BMI) + (0.969 × number of hospitalizations in the past year ≥ 2) + (0.265 × CCI) + (0.405 × REFS) + (-3.209 × 4MGS), and presented an area under the ROC curve (AUC) of 0.744 [95% CI: 0.687-0.801]. The AUC of the external validation cohort was 0.737 (95% CI: 0.648-0.826), and the AUC of the LACE warning model was 0.657 (95% CI:0.552-0.762).

Conclusion

The BMI, number of hospitalizations in the past year ≥ 2, CCI, REFS, and 4MGS were independent risk factors for readmission within 90 d in COPD patients with frailty. The early warning model presented a moderate predictive value for assessing the risk of readmission within 90 d in these patients.

COPD and Depression Analysis in Regard to Obstructive Pulmonary Levels

Depression symptoms take place recurrently in patients suffering from COPD. This study aims to assess the effects of antidepressant therapy in patients with COPD and a depressive disorder in relation to COPD levels. The study population consisted of N = 87 patients diagnosed with COPD, according to the GOLD criteria, and a depressive disorder. All of the patients were subjected to clinical and psychiatric exploration according to psychiatric assessment instruments, which was followed by SSRI therapy for the duration of 8 weeks. The main methods used were descriptive statistics and analysis of variance. The results showed a different distribution of depressive symptoms at a different stage of COPD by FEV1 (χ² = 30.47, df = 6, p < 0.01) and by mMRC (χ² = 34.6, df = 6, p < 0.01). After the application of SSRIs, there was a significant improvement in HDRS scores in all stages of COPD by FEV1 (χ² = 251.62, df = 9, p < 0.01) and by mMRC (χ² = 919.17, df = 9, p < 0.01). This study contributes to the improvement in the quality of life of patients by the targeted application of SSRI therapy and, therefore, more precise and better overall treatment results.

A systematic review and meta-analysis of heart rate variability in COPD

BACKGROUND

Chronic obstructive pulmonary disease (COPD) is associated with disruption in autonomic nervous control of the heart rhythm. We present here quantitative evidence of the reduction in HRV measures as well as the challenges to clinical application of HRV in COPD clinics.

METHOD

Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we search in June 2022 Medline and Embase databases for studies reporting HRV in COPD patients using relevant medical subject headings (MeSH) terms. The quality of included studies was assessed using the modified version of the Newcastle-Ottawa Scale (NOS). Descriptive data were extracted, while standardized mean difference was computed for changes in HRV due to COPD. Leave-one-out sensitivity test was performed to assess exaggerated effect size and funnel plots to assess publication bias.

RESULTS

The databases search yielded 512 studies, of which we included 27 that met the inclusion criteria. The majority of the studies (73%) had a low risk of bias and included a total of 839 COPD patients. Although there were high between-studies heterogeneity, HRV time and frequency domains were significantly reduced in COPD patients compared with controls. Sensitivity test showed no exaggerated effect sizes and the funnel plot showed general low publication bias.

CONCLUSION

COPD is associated with autonomic nervous dysfunction as measured by HRV. Both sympathetic and parasympathetic cardiac modulation were decreased, but there is still a predominance of sympathetic activity. There is high variability in the HRV measurement methodology, which affects clinical applicability.

The Influence of Provider Connectedness on Continuity of Care and Hospital Readmissions in Patients With COPD: A Claims Data Based Social Network Study

Background

Hospital readmission rates are very high in patients with chronic obstructive pulmonary disease (COPD). Continuity of care (CoC) with general practitioners (GPs) and ambulatory specialists can impact readmission rates. This study aimed to identify shared patient networks of ambulatory care physicians and to examine the effect of provider connectedness on CoC and hospital readmissions.

Methods

A retrospective observational study was conducted in claims data from the years 2016 to 2018 in patients with COPD (aged 40 years or older; hospital stay in 2017). Linkages between GPs, pneumologists, and cardiologists were determined on the basis of shared patients. Multilevel regression models were used to analyze the impact of provider connectedness, operationalized by several social network characteristics, on continuity of care (sequential continuity [SECON] index) and hospital readmission rates.

Results

A total of 7294 patients linked to 3673 GPs were available for analysis. Closeness centrality (β=- 0.029) and the external-internal (EI)-index (β =0.037) impacted on the SECON index. The EI-index (odds ratio [OR]=1.25) and degree centrality (OR=1.257) impacted 30-day readmission. Network density (OR=0.811) and the SECON index (OR=1.121) affected the likelihood of a 90-day readmission. None of the predictors had a significant impact on 180-day and 365-day readmissions.

Conclusions

Ambulatory care providers' connectedness showed some effects on hospital readmissions and CoC in patients with COPD up to 90 days after hospital discharge, but the additional predictive power is limited.

The Role of Early Warning Scoring Systems NEWS and MEWS in the Acute Exacerbation of COPD

Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are the most devastating events in the course of the disease. Our aim was to investigate the value of early warning scoring systems: National Early Warning Score (NEWS) and Modified Early Warning Score (MEWS) in AECOPD. This is a prospective observational study of patients with AECOPD who were admitted at hospital. The NEWS and MEWS scores were registered at admission (NEWS-d1, MEWS-d1) and on the second day (NEWS-d2, MEWS-d2). A nasopharyngeal and sputum sample was taken for culture. Follow-up was done at 3 and 6 months after hospitalization. Any possible correlations between NEWS and MEWS and other parameters of COPD were explored. A cohort of 64 patients were included. In-hospital mortality was 4.7% while total mortality at 6 months was 26%. We did not find any significant correlation between in-hospital mortality and any of the scores but we could show a higher mortality and more frequent AECOPD at 6 months of follow-up for those with higher NEWS-d2. NEWS-d2 was associated with higher pCO₂ at presentation and a more frequent use of NIV. Higher NEWS-d1 and NEWS-d2 were predictive of a longer hospital stay. The presence of pathogens in the nasopharyngeal sample was related with a higher reduction of both scores on the second day. We therefore support the superiority of NEWS in the evaluation of hospitalized patients with AECOPD. A remaining high NEWS at the second day of hospital stay signals a high risk of hypercapnia and need of NIV but also higher mortality and more frequent exacerbations at 6 months after AECOPD.

COPD in Africa: risk factors, hospitalisation, readmission and associated outcomes-a systematic review and meta-analysis

BACKGROUND

This review aims to synthesise available evidence on the prevalence of chronic obstructive pulmonary disease (COPD), associated risk factors, hospitalisations and COPD readmissions in Africa.

METHOD

Using the Met-Analyses and Systematic Reviews of Observational Studies guideline, electronic databases were searched from inception to 1 October 2021. The quality of studies was assessed using the Newcastle-Ottawa Scale. Evidence from retrieved articles was synthesised, and a random-effect model meta-analysis was conducted. The protocol was registered on PROSPERO.

RESULTS

Thirty-nine studies met the inclusion criteria, with 13 included in the meta-analysis. The prevalence of COPD varied between the Global Initiative for Chronic Obstructive Lung Disease (2%-24%), American Thoracic Society/European Respiratory Society (1%-17%) and Medical Research Council chronic bronchitis (2%-11%) criteria, respectively. Increasing age, wheezing and asthma were consistent risk factors for COPD from studies included in the narrative synthesis. Our meta-analysis indicated that prior tuberculosis ((OR 5.98, 95% CI 4.18 to 8.56), smoking (OR 2.80, 95% CI: 2.19 to 3.59) and use of biomass fuel (OR 1.52, 95% CI: 1.39 to 1.67)) were significant risk factors for COPD. Long-term oxygen therapy (HR 4.97, 95% CI (1.04 to 23.74)) and frequent hospitalisation (≥3 per year) (HR 11.48, 95% CI (1.31 to 100.79)) were risk factors associated with 30-day COPD readmission.

CONCLUSION

This study not only highlights specific risk factors for COPD risk in Africa but also demonstrates the paucity and absence of research in several countries in a continent with substantial COPD-related mortality. Our findings contribute towards the development of evidence-based clinical guidelines for COPD in Africa.PROSPERO registration numberCRD42020210581.

All-cause admissions following a first ever exacerbation-related hospitalisation in COPD

Background

Hospital admissions are important contributors to the overall burden of chronic obstructive pulmonary disease (COPD). Understanding the patterns and causes of hospital admissions will help to identify targets for preventive interventions. This study aimed to determine the 5-year all-cause hospital admission trajectories of patients with COPD following their first ever exacerbation-related hospitalisation.

Methods

Patients with COPD were identified from the Danish national registries. Patients experiencing their first ever exacerbation-related hospitalisation, defined as the index event, between 2000 and 2014 were included. All-cause hospital admissions were examined during a subsequent 5-year follow-up period, and categorised using the International Classification of Diseases, 10th revision.

Results

In total, 82 964 patients with COPD were included. The mean±sd age was 72±10 years and 48% were male. Comorbidities were present in 58%, and 65% of the patients collected inhalation medication ≤6 months prior to the index event. In total, 337 066 all-cause hospital admissions were identified, resulting in a 5-year admission rate of 82%. Most admissions were due to nonrespiratory causes (59%), amongst which cardiac events were most common (19%).

Conclusion

Hospital admissions following a first exacerbation-related hospitalisation are common; nonrespiratory events constitute the majority of admissions. Besides the respiratory causes, treatment targeting the nonrespiratory causes of hospital admission should be considered to effectively decrease the burden of hospitalisation in COPD.

Translation, cross-cultural adaptation, reliability, and construct validity of the Brazilian Portuguese version of the Basic Psychological Needs in Exercise Scale

RESULTS

59 patients were included (61% with COPD and 39% with ILD). BPNES factor scores were not significantly different between raters' assessments (p > 0.05). The internal consistency was 0.70 for autonomy, 0.76 for competence, and 0.80 for relatedness. Inter-rater and test-retest reliability were good to very good for autonomy (ICC = 0.78, 95%CI 0.62-0.87; ICC = 0.75, 95%CI 0.57-0.86, respectively), competence (ICC = 0.81, 95%CI 0.68-0.89; ICC = 0.65, 95%CI 0.43-0.80, respectively), and relatedness (ICC = 0.79, 95%CI 0.65-0.88; ICC = 0.70, 95%CI 0.50-0.83, respectively). Significant correlations were observed between BPNES factors and quality of life, anxiety, depression, and functional status. In conclusion, this study confirmed the reliability and construct validity of the Brazilian Portuguese version of the BPNES in patients with COPD and ILD.

Readmission rate for acute exacerbation of chronic obstructive pulmonary disease: A systematic review and meta-analysis

BACKGROUND

The readmission rate following hospitalization for chronic obstructive pulmonary disease (COPD) exacerbations is extremely high and has become a common and challenging clinical problem. This study aimed to systematically summarize COPD readmission rates for acute exacerbations and their underlying risk factors.

METHODS

A comprehensive search was performed using PubMed, Embase, Cochrane Library, and Web of Science, published from database inception to April 2, 2022. Methodological quality was evaluated using the Newcastle-Ottawa Scale (NOS). We used a random-effects model or a fixed-effects model to estimate the pooled COPD readmission rate for acute exacerbations and underlying risk factors.

RESULTS

A total of 46 studies were included, of which 24, 7, 17, 7, and 20 summarized the COPD readmission rates for acute exacerbations within 30, 60, 90, 180, and 365 days, respectively. The pooled 30-, 60-, 90-, 180-, and 365-day readmission rates were 11%, 17%, 17%, 30%, and 37%, respectively. The study design type, age stage, WHO region, and length of stay (LOS) were initially considered to be sources of heterogeneity. We also identified potential risk factors for COPD readmission, including male sex, number of hospitalizations in the previous year, LOS, and comorbidities such as heart failure, tumor or cancer, and diabetes, whereas obesity was a protective factor.

CONCLUSIONS

Patients with COPD had a high readmission rate for acute exacerbations, and potential risk factors were identified. Therefore, we should propose clinical interventions and adjust or targeted the control of avoidable risk factors to prevent and reduce the negative impact of COPD readmission.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO, identifier CRD42022333581.

Taking Charge After Acute Exacerbation of Chronic Obstructive Pulmonary Disease: A Randomized Controlled Feasibility Trial of a Psychologically Informed Self-Management Intervention

Purpose

Few interventions improve outcomes for people with Chronic Obstructive Pulmonary Disease (COPD), particularly higher risk groups such as those admitted to hospital with an acute exacerbation of COPD (AECOPD). The aim of the study was to test the feasibility and acceptability of a modified version of the Take Charge program in people after AECOPD and to determine the potential to improve self-reported limitations, health-related quality of life and reduce future hospitalizations.

Patients and Methods

A prospective, parallel group randomized trial with blinded endpoint assessment. Participants had been discharged from hospital with a diagnosis of AECOPD and were randomized to receive either a single 60-90 minute session of "Take Charge for COPD" from a trained facilitator in their own home or usual care. Take Charge is a "talking therapy" that encourages a sense of purpose, autonomy, mastery, and connectedness with others. The primary outcome was the rate of moderate or severe episodes of AECOPD in the subsequent 12 months.

Results

Fifty-six people were randomized (study target 60): predominantly European (71%), female (61%), older (mean [SD] age 70 [11] years), and non-smokers (89%). Charlson Comorbidity Index mean (SD) score was 2.3 (1.6) indicating mild to moderate comorbidity severity. There were 85 moderate or severe AECOPD episodes in the 12 months after the index admission for the Take Charge participants and 84 episodes in the control group (relative rate 0.93; 95% confidence interval (CI) 0.69 to 1.26). COPD Clinical Questionnaire (CCQ) scores were significantly lower (better) in the Take Charge group (mean difference -1.26; 95% CI -2.06 to -0.45).

Conclusion

The Take Charge intervention proved feasible with a population of people recently discharged from hospital with AECOPD. The direction of change in the primary outcome and some secondary outcomes suggest that an adequately powered study is justified.

All-cause readmission rate and risk factors of 30- and 90-day after discharge in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis

BACKGROUND

The readmission rate following hospitalization for chronic obstructive pulmonary disease (COPD) is surprisingly high, and frequent readmissions represent a higher risk of mortality and a heavy economic burden. However, information on all-cause readmissions in patients with COPD is limited.

OBJECTIVE

This study aimed to systematically summarize all-cause COPD readmission rates within 30 and 90 days after discharge and their underlying risk factors.

METHODS

Eight electronic databases were searched to identify relevant observational studies about COPD readmission from inception to 1 August 2022. Newcastle-Ottawa Scale was used for methodological quality assessment. We adopt a random effects model or a fixed effects model to estimate pooled all-cause COPD readmission rates and potential risk factors.

RESULTS

A total of 28 studies were included, of which 27 and 8 studies summarized 30- and 90-day all-cause readmissions, respectively. The pooled all-cause COPD readmission rates within 30 and 90 days were 18% and 31%, respectively. The World Health Organization region was initially considered to be the source of heterogeneity. We identified alcohol use, discharge destination, two or more hospitalizations in the previous year, and comorbidities such as heart failure, diabetes, chronic kidney disease, anemia, cancer, or tumor as potential risk factors for all-cause readmission, whereas female and obesity were protective factors.

CONCLUSIONS

Patients with COPD had a high all-cause readmission rate, and we also identified some potential risk factors. Therefore, it is urgent to strengthen early follow-up and targeted interventions, and adjust or avoid risk factors after discharge, so as to reduce the major health economic burden caused by frequent readmissions.

TRIAL REGISTRATION

This systematic review and meta-analysis protocol was prospectively registered with PROSPERO (no. CRD42022369894).

Hospital Readmission Due to Chronic Obstructive Pulmonary Disease: A Longitudinal Study

BACKGROUND

This study aimed to investigate the prevalence of hospital readmission for chronic obstructive pulmonary disease (COPD) at 30, 90 and 365 days, and to determine demographic and socioeconomic risk factors for 30-day and 90-day readmission and time to COPD-related readmission within 365 days in Tasmania.

METHODS

Patients ≥40 years admitted for COPD between 2011 and 2015 were identified using administrative data from all major public hospitals in Tasmania, Australia. Factors associated with readmission and time to readmission were identified using logistic and Cox regression, respectively.

RESULTS

The rates of COPD-related readmission were 6.7% within 30 days, 12.2% within 90 days and 23.7% within 365 days. Being male (odds ratio [OR]: 1.49, CI: 1.06-2.09), Indigenous (OR: 2.47, CI: 1.31-4.66) and living in the lower socioeconomic North-West region of Tasmania (OR: 1.80, CI: 1.20-2.69) were risk factors for 30-day readmission. Increased COPD-related (OR: 1.48, CI: 1.22-1.80; OR: 1.52, CI: 1.29-1.78) and non-COPD-related (OR: 1.12, CI: 1.03- 1.23; OR: 1.11, CI: 1.03-1.21) emergency department (ED) visits in the preceding six months were risk factors for both 30-day and 90-day readmissions. Being Indigenous (hazard ratio [HR]: 1.61, CI: 1.10-2.37) and previous COPD-related ED visits (HR: 1.30, CI: 1.21-1.39) decreased, while a higher Charlson Comorbidity Index (CCI) (OR: 0.91, CI: 0.83- 0.99) increased the time to readmission within 365 days.

CONCLUSION

Being male, Indigenous, living in the North-West region and previous ED visits were associated with increased risk of COPD readmission in Tasmania. Interventions to improve access to primary healthcare for these groups may reduce COPD-related readmissions.

Readmission Risk after COVID-19 Hospitalization: A Moderation Analysis by Vital Signs

Hospital admissions for coronavirus disease 2019 (COVID-19) are a common occurrence during periods of widespread viral transmission as are 30-day readmissions after COVID-19 hospitalization. This article provides an analysis of risk factors for readmission after COVID-19 hospitalization, in particular, vital signs upon discharge and their predictive value. In addition, this article evaluates whether the stabilization of vital signs within 24 hours of discharge can reduce readmission risk attributable to less modifiable primary factors such as underlying pulmonary and cardiac disease. The authors aim to aid the practicing clinician by providing an approach to safely risk stratify hospitalized COVID-19 patients who may be ready for discharge from the hospital.

Objective

Readmission to the hospital after hospitalization with coronavirus disease 2019 (COVID-19) is associated with significant morbidity and mortality. Hospital clinicians may identify the presence of a patient’s comorbid conditions, overall severity of illness, and clinical status at discharge as risk factors for readmission. Objective data are lacking to support reliance on these factors for discharge decision making. The objective of our study was to examine risk factors for readmission to the hospital after COVID-19 hospitalization and the impact of vital sign abnormalities, within 24 hours of discharge, on readmission rates.

Methods

In total, 2557 COVID-19-related hospital admissions within the Lifespan Health System, a large multicenter health system (Rhode Island), of 2230 unique patients aged 18 years and older, occurring from April 1, 2020 to December 31, 2020 were analyzed. Risk factors associated with readmission within 30 days were identified and analyzed using Cox regression. A moderation analysis by vital signs at discharge on the risk of readmission was performed.

Results

Clinical factors associated with readmissions included existing cardiovascular conditions (risk ratio 2.32, 95% confidence interval [CI] 1.10–4.90) and pulmonary disease (risk ratio 3.25, 95% CI 1.62–6.52). The absence of abnormal vital signs within 24 hours of discharge was associated with decreased 30-day readmission rates (risk ratio 0.70, 95% CI 0.52–0.94). Elevated C-reactive protein and d-dimer values and in-hospital complications including stroke, myocardial infarction, acute renal failure, and gastrointestinal bleeding were not associated with an increased risk of readmission. In moderation analysis, the presence of normal vital signs within 24 hours of discharge was associated with decreased readmission risk in patients who had primary risk factors for readmission including pulmonary disease (risk ratio 0.80, 95% CI 0.65–0.99), psychiatric disorders, and substance use (risk ratio 0.70, 95% CI 0.52–0.94).

Conclusions

Comorbid conditions, including pulmonary and cardiovascular disease, are associated with readmission risk after COVID-19 hospitalization. The normalization of vital signs within 24 hours of discharge during COVID-19 hospitalization may be an indicator of readiness for discharge and may mitigate some readmission risk conferred by comorbid conditions.

Ambient heat exposure and COPD hospitalisations in England: a nationwide case-crossover study during 2007-2018

BACKGROUND

There is emerging evidence suggesting a link between ambient heat exposure and chronic obstructive pulmonary disease (COPD) hospitalisations. Individual and contextual characteristics can affect population vulnerabilities to COPD hospitalisation due to heat exposure. This study quantifies the effect of ambient heat on COPD hospitalisations and examines population vulnerabilities by age, sex and contextual characteristics.

METHODS

Individual data on COPD hospitalisation at high geographical resolution (postcodes) during 2007-2018 in England was retrieved from the small area health statistics unit. Maximum temperature at 1 km ×1 km resolution was available from the UK Met Office. We employed a case-crossover study design and fitted Bayesian conditional Poisson regression models. We adjusted for relative humidity and national holidays, and examined effect modification by age, sex, green space, average temperature, deprivation and urbanicity.

RESULTS

After accounting for confounding, we found 1.47% (95% Credible Interval (CrI) 1.19% to 1.73%) increase in the hospitalisation risk for every 1°C increase in temperatures above 23.2°C (lags 0-2 days). We reported weak evidence of an effect modification by sex and age. We found a strong spatial determinant of the COPD hospitalisation risk due to heat exposure, which was alleviated when we accounted for contextual characteristics. 1851 (95% CrI 1 576 to 2 079) COPD hospitalisations were associated with temperatures above 23.2°C annually.

CONCLUSION

Our study suggests that resources should be allocated to support the public health systems, for instance, through developing or expanding heat-health alerts, to challenge the increasing future heat-related COPD hospitalisation burden.

Healthcare providers' attitudes, beliefs and barriers to pulmonary rehabilitation for patients with chronic obstructive pulmonary disease in Saudi Arabia: a cross-sectional study

OBJECTIVES

To assess the attitude of healthcare providers (HCPs) towards the delivering of pulmonary rehabilitation (PR) to patients with chronic obstructive pulmonary disease (COPD) and identify factors and barriers that might influence referral.

DESIGN

A cross-sectional online survey consisting of nine multiple-choice questions.

SETTINGS

Saudi Arabia.

PARTICIPANTS

980 HCPs including nurses, respiratory therapists (RT) and physiotherapists.

PRIMARY OUTCOME MEASURES

HCPs attitudes towards and expectations of the delivery of PR to COPD patients and the identification of factors and barriers that might influence referral in Saudi Arabia.

RESULTS

Overall, 980 HCPs, 53.1% of whom were men, completed the survey. Nurses accounted for 40.1% of the total sample size, and RTs and physiotherapists accounted for 32.1% and 16.5%, respectively. The majority of HCPs strongly agreed that PR would improve exercise capacity 589 (60.1%), health-related quality of life 571 (58.3%), and disease self-management in patients with COPD 589 (60.1%). Moreover, the in-hospital supervised PR programme was the preferred method of delivering PR, according to 374 (38.16%) HCPs. Around 85% of HCPs perceived information about COPD, followed by smoking cessation 787 (80.3%) as essential components of PR besides the exercise component. The most common patient-related factor that strongly influenced referral decisions was 'mobility affected by breathlessness' (64%), while the 'availability of PR centres' (61%), the 'lack of trained HCPs' (52%) and the 'lack of authority to refer patients' (44%) were the most common barriers to referral.

CONCLUSION

PR is perceived as an effective management strategy for patients with COPD. A supervised hospital-based programme is the preferred method of delivering PR, with information about COPD and smoking cessation considered essential components of PR besides the exercise component. A lack of PR centres, well-trained staff and the authority to refer patients were major barriers to referring patients with COPD. Further research is needed to confirm HCP perceptions of patient-related barriers.

Secular trend and risk factors of 30-day COPD-related readmission in Beijing, China

Readmission due to chronic obstructive pulmonary disease (COPD) exacerbation contributes significantly to disease burden. Trend in readmission rate among COPD patients in China is not well characterized. We described the secular trend and identify risk factors of COPD-related 30-day readmission in Beijing during 2012–2017. In this retrospective cohort study, we used data from a citywide hospital discharge database in Beijing. We included patients ≥ 40 years with a primary diagnosis of COPD from 2012 to 2017. A total of 131 591 index admissions were identified. COPD-related 30-day readmission was defined as the initial admission with a primary diagnosis of COPD that occurs within 30 days from the discharge date of an index admission. Overall and annual 30-day readmission rates were calculated in the total population and subgroups defined by patient characteristics. We used multivariable logistic models to investigate risk factors for readmission and in-hospital mortality within 30 days. The overall 30-day COPD-related readmission rate was 15.8% (n = 20 808). The readmission rate increased from 11.5% in 2012 to 17.2% in 2017, with a multivariable-adjusted OR (95% CI) for annual change to be 1.08 (1.06–1.09) (P trend < 0.001). The upward trend in readmission rate levelled off at about 17% since 2014. The readmission rate of men was higher and increased faster than women. Comorbid osteoporosis, coronary heart disease, congestive heart failure, and cancer were associated with an increased risk of 30-day COPD-related readmission. The 30-day COPD-related readmission rate in Beijing showed an overall increasing trend from 2012 to 2017. Future efforts should be made to further improve care quality and reduce early readmissions of COPD patients.

Characteristics of 12-Month Readmission for Hospitalized Patients with COPD: A Propensity Score Matched Analysis of Prospective Multicenter Study

Purpose

Hospitalization for acute exacerbations of chronic obstructive pulmonary disease (AECOPD) is considered as severe exacerbations. Readmission for severe exacerbations is a crucial event for COPD patients. However, factors associated with readmission for severe exacerbations are incomplete. The study aimed to investigate different characteristics between the severe and non-severe exacerbation groups.

Patients and Methods

Patients hospitalized for severe AECOPD were included in multi-centers, and their exacerbations in next 12 months after discharge were recorded. According to exacerbations, patients were separated into the severe-exacerbation group and the non-severe exacerbation group. Propensity-score matching (PSM) and multivariable analyses were performed to compare the baseline characteristics of two groups. The Hosmer-Lemeshow test and receiver operating characteristic curve were applied to evaluate how well the model could identify clusters.

Results

The cohort included 550 patients with severe AECOPD across 27 study centers in China, and 465 patients were finally analyzed. A total of 41.5% of patients underwent readmission for AECOPD within 1 year. There were no significant differences in baseline characteristics between groups after PSM. Severe exacerbations in the 12 months were related to some factors, eg, the duration of COPD (13 vs 8 years, P<0.001), the COPD Assessment Test (CAT) score (20 vs 17, P<0.001), the blood eosinophil percentage (1.5 vs 2.0, P<0.05), and their inhaler therapies. Patients readmitted with AECOPD had a longer time of diagnosis (≥9 years), more symptoms (CAT ≥10), and lower blood eosinophils (Eos <2%). A clinical model was derived to help identify patients at risk of readmission with severe exacerbations.

Conclusion

These analyses confirmed the relevance of COPD at admission with future severe exacerbations. A lower blood eosinophils percentage appears to be related to readmission when combined with clinical history. Further studies are needed to evaluate whether this study can predict the risk of exacerbations.

Chronic disease relapses: A cross-sectional study of the associated factors and socioeconomic inequalities during the COVID-19 pandemic in Peru

OBJECTIVES

To investigate the prevalence, associated factors and socioeconomic inequalities in chronic disease relapses (CDR) during 2020 in Peru.

METHODS

A secondary analysis was made of the National Household Survey on Living Conditions and Poverty (ENAHO) 2020. Participants older than 18 years who suffered from a chronic disease and with information about the occurrence of a CDR in the last 4 weeks prior to the survey were included. Adjusted prevalence ratios (aPRs) were estimated to determine the associated factors. Socioeconomic inequality in CDR was estimated using concentration curves (CC) and the Erreygers concentration index (ECI).

RESULTS

Data from 38,662 participants were analyzed; the prevalence of CDR in the last 4 weeks prior to the survey was 16.5% (95% CI: 15.8-17.2). Being female (aPR 1.29; 95% CI: 1.21-1.37), with regards to being male; being 30-39 (aPR 1.22; 95% CI: 1.05-1.42), 40-49 (aPR 1.29; 95% CI: 1.12-1.48), 50-59 (aPR 1.60; 95% CI: 1.41-1.82), and 60 years or older (aPR 1.80; 95% CI: 1.58-2.04), compared to 18-29; reaching up to primary (aPR 1.18; 95% CI: 1.07-1.31), or secondary education (aPR 1.13; 95% CI: 1.02-1.24), in contrast to tertiary education; presenting some physical, psychological or cognitive limitation (aPR 1.33; 95% CI: 1.21-1.46), with respect to experiencing no limitations; and being affiliated to a health insurance (aPR 1.18; CI 95%: 1.09-1.29), opposed to not having health insurance; were associated with a higher probability of CDR. Residing in the natural region of the coastal area (aPR 0.83; 95% CI: 0.74-0.92) was associated with a lower probability of relapse compared to residing in the jungle area. In people with limitations and residents of the jungle areas, the prevalence of CDR was concentrated in those with higher per capita spending.

CONCLUSIONS

Approximately 1 in 6 Peruvians with chronic diseases had a relapse within the last 4 weeks prior to the survey of 2020 and certain geographic and sociodemographic factors were found to be associated with CDR. It was also found that a higher concentration of CDR was observed in the population with the highest per capita spending with some limitations, as well as in residents of the jungle, implying the need for appropriate policy interventions that address CDR with a special focus on these populations.

Predictors of short-term COPD readmission

COPD readmissions have a great impact on patients' quality of life and mortality. Our goal was to identify factors related to 60-day readmission. We conducted a prospective observational cohort study with a nested case-control study, with 60 days of follow-up after the index admission. Patients readmitted were matched, by age, baseline forced expiratory volume in 1 s and month at admission, with patients admitted in the same period but not readmitted at 2 months. Data were collected on sociodemographic and clinical characteristics and health-related quality of life data at the index admission and events from discharge to readmission within 60 days. Conditional logistic (60-day readmission) and Cox (days to readmission) regression models were constructed. Both multivariable analyses identified the following as predictors: any admission in the preceding 2 months (OR: 2.366; HR: 1.918), hematocrit at ED arrival ≤ 35% (OR: 2.949; HR: 1.570), pre-existing cardiovascular disease (valvular disease or myocardial infarction) (OR: 1.878; HR: 1.490); NIMV at discharge (OR: 0.547; HR: 0.70); no appointment with a specialist after discharge (OR: 5.785; HR: 3.373) and patient-reported need for help at home (OR: 2.978; HR: 2.061). The AUC for the logistic model was 0.845 and the c-index for the Cox model was 0.707. EuroQol EQ-5D score before the admission was correlated with a lower risk of readmission (OR: 0.383; HR: 0.670). As conclusions, we have identified factors related to 60-day readmission and summarized the findings in easy-to-use scoring scales that could be incorporated into the daily clinical routine and may help establish preventive measures to reduce future readmissions.Registration: Clinical Trial Registration NCT03227211.

Factors affecting length of hospital stay in chronic obstructive pulmonary disease patients in a tertiary hospital of Nepal: A retrospective cross-sectional study

Background

Despite the increasing burden of chronic obstructive pulmonary disease in Nepal, studies analyzing the factors associated with inpatient length of hospital stay are lacking.

Methods

This is a retrospective, cross-sectional hospital-based study conducted between July 2020 and July 2021 on patients admitted to the inpatient ward of Pulmonary and Critical Care Medicine of Tribhuvan University Teaching Hospital with a primary diagnosis of acute exacerbation of chronic obstructive pulmonary disease. The sample size of our study was 90. Clinical and demographic factors, blood investigation parameters, and treatment received were analyzed via univariate and multivariate analysis to find the factors associated with length of stay.

Results

The mean age of chronic obstructive pulmonary disease patients was 68.84 ± 10.22 years, with 42.2% of males and 43.3% of current smokers. The length of hospital stay ranged from 2 to 25 days, with an average stay of 6.69 ± 4.02 days. Factors associated with length of stay are the number of comorbidities (p = 0.007), blood eosinophils at admission (p = 0.022), and use of mechanical ventilatory support (p < 0.001).

Conclusions

Proper management of comorbidities and eosinophilic exacerbations as well as careful use of mechanical ventilatory support are required to further reduce the duration of hospital stay in chronic obstructive pulmonary disease patients.

Family caregivers' preparedness to support the physical activity of patients at risk for hospital readmission in rural communities: an interpretive descriptive study

Background

Physical activity in the post-discharge period is important to maximize patient recovery and prevent hospital readmission. Healthcare providers have identified family caregivers as potential facilitators of patients’ engagement in physical activity. Yet, there is very little research on family caregivers’ perspectives on their preparedness to support the physical activity of patients, particularly those at risk for hospital readmission in rural communities. Accordingly, this study explored the challenges related to family caregivers’ preparedness to support the physical activity of a recently discharged, rural-dwelling relative at risk for hospital readmission.

Methods

In this interpretive descriptive study, semi-structured interviews were conducted by telephone with 16 family caregivers. Interview transcripts were analyzed using thematic analysis.

Results

Participants were predominantly women (n = 14; 87.5%) with an average age of 49 years (range 26–67) who were the primary caregivers of a relative who had been hospitalized for a medical illness (n = 12; 75%) and was at high risk for hospital readmission. Four themes were identified: 1) family caregivers generally felt unprepared to support their relative’s physical activity, 2) some family caregivers believed that rest was more important than physical activity to their relative’s recovery, 3) insufficient physical activity preparation led to family caregiver-relative conflicts, and 4) to defuse these conflicts, some family caregivers wanted healthcare providers to be responsible for promoting physical activity.

Conclusions

Despite assertions that family caregivers are a potential source of support for patient physical activity, our findings indicate that family caregivers are largely unprepared to assume that role and that more work needs to be done to ensure they can do so effectively. We suggest that healthcare providers be conscious of the potential for family caregiver-patient conflict surrounding physical activity, assess family caregivers’ ability and willingness to support physical activity, educate them on the hazards of inactivity, and provide physical activity instructions to family caregivers and patients conjointly. Preparing family caregivers to support their relative’s physical activity is particularly important given the current emphasis on early discharge in many jurisdictions, and the limited formal healthcare services available in rural communities.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-08289-4.

Advances in chronic obstructive pulmonary disease: management of exacerbations

Exacerbations of chronic obstructive pulmonary disease are important events to people living with this condition and a common cause of emergency hospital admission. In the absence of a confirmatory biomarker, an exacerbation remains a clinical diagnosis of exclusion and clinicians must be alert to alternative diagnoses. Most exacerbations are caused by airway infection, particularly with respiratory viruses. The mainstay of exacerbation treatment is an increase in the dose and/or frequency of short-acting beta-agonists, with short-course oral corticosteroids and/or antibiotics. Although there have been no new interventions to treat exacerbations in many years, there is still much variation in care and opportunity to improve outcomes. There has been a new focus on both the management of comorbidities and the optimisation of future care to reduce the risk of further events. This review summarises advances in managing exacerbations of chronic obstructive pulmonary disease, focusing on hospitalised patients.