Risk factors and associated outcomes of hospital readmission in COPD: A systematic review

[Medico-economic evaluation of the PRADO-BPCO post-exacerbation support program]

INTRODUCTION

The "Programme d'Accompagnement du retour à Domicile" (PRADO) COPD is a home discharge support program dedicated to organizing care pathways following hospitalization for COPD exacerbation. This study aimed at assessing its medico-economic impact.

METHODS

This was a retrospective database study of patients included in the PRADO BPCO between 2017 and 2019. Data were extracted from the National Health Data System. A control group was built using propensity score matching. Morbi-mortality and costs (national health insurance perspective) were measured during the year following hospitalization.

RESULTS

While the proportion of patients with a care pathway complying with recommendations from the National Health Authority was higher in the PRADO group, there was no significant effect on mortality and 12-month rehospitalization. In the PRADO group, the rehospitalization rate was lower when the care pathway was optimal. Healthcare costs per patient were 670 € higher in the PRADO group.

CONCLUSIONS

The PRADO COPD improves quality of care but without decreasing rehospitalizations and mortality, although rehospitalizations did decrease among PRADO group patients benefiting from an optimal care pathway.

Internet of Things-Based Home Respiratory Muscle Training for Patients with Chronic Obstructive Pulmonary Disease: A Randomized Clinical Trial

Purpose

Whether Internet of Things (IoT)-based home respiratory muscle training (RMT) benefits patients with comorbid chronic obstructive pulmonary disease (COPD) remains unclear. Therefore, this study aims to evaluate the effectiveness of IoT-based home RMT for patients with COPD.

Patients and Methods

Seventy-eight patients with stable COPD were randomly divided into two groups. The control group received routine health education, while the intervention group received IoT-based home RMT (30 inspiratory muscle training [IMT] and 30 expiratory muscle training [EMT] in different respiratory cycles twice daily for 12 consecutive weeks). Assessments took place pre-intervention and 12 weeks post-intervention, including lung function tests, respiratory muscle strength tests, the mMRC dyspnea scale, CAT questionnaires, the HAMA scale, and 6-month COPD-related readmission after intervention.

Results

Seventy-four patients with COPD were analyzed (intervention group = 38, control group = 36), and the mean age and FEV1 of the patients were 68.65 ± 7.40 years, 1.21 ± 0.54 L. Compared to those of the control population, the intervention group exhibited higher FEV1/FVC (48.23 ± 10.97 vs 54.32 ± 10.31, p = 0.016), MIP (41.72 ± 7.70 vs 47.82 ± 10.99, p = 0.008), and MEP (42.94 ± 7.85 vs 50.29 ± 15.74, p = 0.013); lower mMRC (2.00 [2.00-3.00] vs 1.50 [1.00-2.00], p < 0.001), CAT (17.00 [12.00-21.75] vs 11.00 [9.00-13.25], p < 0.001), and HAMA (7.00 [5.00-9.00] vs 2.00 [1.00-3.00], p < 0.001) scores; and a lower incidence rate of 6-month readmission (22% vs 5%, p = 0.033).

Conclusion

Compared with no intervention, IoT-based home RMT may be a more beneficial intervention for patients with COPD.

Hospital admissions among patients with Comorbid Substance Use disorders: a secondary analysis of predictors from the NavSTAR Trial

BACKGROUND

Individuals with substance use disorders (SUDs) frequently use acute hospital services. The Navigation Services to Avoid Rehospitalization (NavSTAR) trial found that a patient navigation intervention for hospitalized patients with comorbid SUDs reduced subsequent inpatient admissions compared to treatment-as-usual (TAU).

METHODS

This secondary analysis extends previous findings from the NavSTAR trial by examining whether selected patient characteristics independently predicted hospital service utilization and moderated the effect of the NavSTAR intervention. Participants were 400 medical/surgical hospital patients with comorbid SUDs. We analyzed 30- and 90-day inpatient readmissions (one or more readmissions) and cumulative incidence of inpatient admissions through 12 months using multivariable logistic and negative binomial regression, respectively.

RESULTS

Consistent with primary findings and controlling for patient factors, NavSTAR participants were less likely than TAU participants to be readmitted within 30 (P = 0.001) and 90 (P = 0.03) days and had fewer total readmissions over 12 months (P = 0.008). Hospitalization in the previous year (P < 0.001) was associated with cumulative readmissions over 12 months, whereas Medicaid insurance (P = 0.03) and index diagnoses of infection (P = 0.001) and injuries, poisonings, or procedural complications (P = 0.004) were associated with fewer readmissions. None of the selected covariates moderated the effect of the NavSTAR intervention.

CONCLUSIONS

Previous findings showed that patient navigation could reduce repeat hospital admissions among patients with comorbid SUDs. Several patient factors were independently associated with readmission. Future research should investigate risk factors for hospital readmission among patients with comorbid SUDs to optimize interventions.

TRIAL REGISTRATION

NIH ClinicalTrials.gov NCT02599818, Registered November 9, 2015 https://classic.

CLINICALTRIALS

gov/ct2/show/NCT02599818 .

Preparing safe discharge in a complex practice: A qualitative study of nurses' approach to patients with COPD's hospital discharge from two pulmonary medicinal wards

INTRODUCTION

It remains unclear why 17% of patients with acute exacerbations of chronic obstructive pulmonary disease (COPD) treated in Danish hospitals are readmitted within 30 days. Hospital discharge is multifaceted. However, the preparation process and nurses' efforts may be essential in ensuring a successful discharge.

AIM

To explore the process of preparing discharge for patients with COPD in a hospital setting.

METHOD

Using constructivist grounded theory, we observed 11 nurses' work at two pulmonary medical wards using participant observation. Data collection and analysis were conducted using a constant comparative process encompassing three phases: initial, focused and theoretical.

RESULTS

We identified important perspectives influencing nurses when patients with COPD are discharged from two pulmonary medical wards. We generated a substantial theory of how nurses integrate various perspectives into their handling of hospital discharge. The theory contains three discharge approaches: co-creating, hesitating and socialising. The co-creating approach focuses on patient and relative involvement and systematic task solution, embedded in a biopsychosocial process, aiming to achieve a safe and sustainable discharge. In contrast, the hesitating approach focuses on discharging patients in line with system requirements and colleagues' expectations. Finally, the socialising approach focuses on creating a pleasant discharge experience for patients and colleagues alike.

CONCLUSION

This study illuminates three distinct approaches adopted by nurses when discharging a patient with COPD. The co-creating process encompasses patient involvement and systematic task resolution, incorporating a biopsychosocial process. In contrast, the other approaches are more limited in scope: the hesitating approach aims for harmony and collegial consensus, while the socialising approach focuses on ensuring a pleasant discharge experience for everyone. Nurses should therefore be mindful of the approach they adopt and the values associated with it in order to optimise their management of hospital discharge processes.

Development and multicentre validation of the FLEX score: personalised preoperative surgical risk prediction using attention-based ICD-10 and Current Procedural Terminology set embeddings

BACKGROUND

Preoperative knowledge of surgical risks can improve perioperative care and patient outcomes. However, assessments requiring clinician examination of patients or manual chart review can be too burdensome for routine use.

METHODS

We conducted a multicentre retrospective study of 243 479 adult noncardiac surgical patients at four hospitals within the Mass General Brigham (MGB) system in the USA. We developed a machine learning method using routinely collected coding and patient characteristics data from the electronic health record which predicts 30-day mortality, 30-day readmission, discharge to long-term care, and hospital length of stay.

RESULTS

Our method, the Flexible Surgical Set Embedding (FLEX) score, achieved state-of-the-art performance to identify comorbidities that significantly contribute to the risk of each adverse outcome. The contributions of comorbidities are weighted based on patient-specific context, yielding personalised risk predictions. Understanding the significant drivers of risk of adverse outcomes for each patient can inform clinicians of potential targets for intervention.

CONCLUSIONS

FLEX utilises information from a wider range of medical diagnostic and procedural codes than previously possible and can adapt to different coding practices to accurately predict adverse postoperative outcomes.

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.

The impact on thirty day readmissions for patients hospitalized for acute exacerbations of chronic obstructive pulmonary disease admitted to an observation unit versus an inpatient medical unit: A retrospective observational study

OBJECTIVES

We aimed to evaluate the utility of an Observation Unit (OU) in management of acute exacerbations of chronic obstructive pulmonary disease (AECOPD) and to identify the clinical characteristics of patients readmitted within 30-days for AECOPD following index admission to the OU or inpatient floor from the OU.

METHODS

This is a retrospective observational study of patients admitted from January to December 2017 for AECOPD to an OU in an urban-based tertiary care hospital. Primary outcome was rate of 30-day readmission after admission for AECOPD for patients discharged from the OU versus inpatient service after failing OU management. Regression analyses were used to define risk factors.

RESULTS

163 OU encounters from 92 unique patients were included. There was a lower readmission rate (33%) for patients converted from OU to inpatient care versus patients readmitted after direct discharge from the OU (44%). Patients with 30-day readmissions were more likely to be undomiciled, with history of congestive heart failure (CHF), pulmonary embolism (PE), or had previous admissions for AECOPD. Patients with >6 annual OU visits for AECOPD had higher rates of substance abuse, psychiatric diagnosis, and prior PE; when these patients were excluded, the 30-day readmission rate decreased to 13.5%.

CONCLUSION

Patients admitted for AECOPD with a history of PE, CHF, prior AECOPD admissions, and socioeconomic deprivation are at higher risk of readmission and should be prioritized for direct inpatient admission. Further prospective studies should be conducted to determine the clinical impact of this approach on readmission rates.

Breathing better: A tech-monitored study of positive expiratory pressure and reading aloud for chronic obstructive pulmonary disease

BACKGROUND

Breathing exercises, such as diaphragmatic breathing and positive expiratory pressure (PEP), relieve breathlessness in people with chronic obstructive pulmonary disease (COPD).

AIM

This study aimed to investigate the effects of breathing exercises with PEP and reading aloud on vital signs, fatigue level, severity of dyspnoea and respiratory function parameters in patients with COPD.

DESIGN

The study followed a randomized controlled trial of COPD patients from a single hospital in eastern Turkey.

METHODS

The study included 103 patients who were randomly assigned to receive pre-reading exercises, breathing exercises with a PEP device or no intervention for 8 weeks.

RESULTS

The use of a PEP device improved oxygen saturation, forced expiratory volume in 1 s (FEV1 ) and FEV1 /forced vital capacity (FVC) values and reduced fatigue and dyspnoea severity. Reading aloud lowered the mean arterial pressure and reduced fatigue and dyspnoea severity.

CONCLUSION

The study concludes that PEP devices and reading aloud can improve respiratory function in patients with COPD. Additionally, reading aloud is an accessible, easy-to-implement and economically feasible method for treating COPD symptoms.

The rate of ward to intensive care transfer and its predictors among hospitalized COPD patients, a retrospective study in a local tertiary center in Saudi Arabia

OBJECTIVE

To investigate the prevalence of intensive care unit (ICU) admission and its predictors among hospitalized chronic obstructive pulmonary disease (COPD) patients.

METHODS

An observational retrospective study was conducted. All patients with a confirmed diagnosis of COPD according to the GOLD guidelines between 28 and 2020 and 1 March 2023 at Al-Noor Specialist Hospital were included in this study. Patients were excluded if a preemptive diagnosis of COPD was made clinically without spirometry evidence of fixed airflow limitation. Descriptive results were presented as frequency (percentage) for categorical variables and mean (SD) for continuous variables and to estimate prevalence of ICU admission. Predictors of ICU admission among hospitalized COPD patients were determined using logistic regression analysis. A SPSS (Statistical Package for the Social Sciences) version 25 was used to perform all statistical analysis.

RESULTS

A total of 705 patients with COPD were included in this study. The mean age was 65.4 (25.3) years. Around 12.4% of the hospitalized patients were admitted to the ICD. Logistic regression analysis identified that older age (OR; 1.92, (1.41-2.62)), smoking (OR; 1.60 (1.17-2.19)), and having specific comorbidities (Hypertension (OR; 1.98 (1.45-2.71)), Diabetes mellitus (OR; 1.42 (1.04-1.93)), GERD (OR; 2.81 (1.99-3.96)), Ischemic heart disease (OR; 3.22 (2.19-4.75)), Obstructive sleep apnea syndrome (OR; 2.14 (1.38-3.33)), stroke (OR; 4.51 (2.20-9.26))) were predictors of ICU admissions among patients with COPD.

CONCLUSIONS

Our study found that a step-up approach to inpatient COPD management requires admission to the ICU in 12.4%, for which age, smoking status, cardiovascular, and stroke were important predictors. Further clinical research is needed to provide a validated model that can be incorporated into clinical practice to monitor this patient population during their admission and identify at-risk individuals for early transfer to higher acuity settings and intensive care units.

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.

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.

[Interventions to reduce hospital readmission rates in patients with COPD: a systematic review]

BACKGROUND

Patients with chronic obstructive pulmonary disease (COPD) have a high risk of hospital and intensive care unit readmission. Readmissions are a severe burden on patients, families, and the health care system. The aim of this study is to identify pedagogical-counseling interventions to reduce readmissions and other parameters in COPD patients.

METHODS

A systematic literature search was performed in March 2022 in the databases Medline, Cochrane Library, CINAHL, and LIVIVO. German‑, English‑, Arabic-, and French-language (cluster-) randomized, controlled studies were included.

RESULTS

In all, 21 studies with a total of 3894 COPD patients were included. The quality of included studies was moderate to good. Interventions were self-management programs, telemedical, and educational interventions. Five out of seven studies found a significant reduction in readmissions for self-management programs (p = 0.02-0.49). A positive effect of telemedicine interventions on outcome parameters was only reported in two studies (p < 0.05) and no significant effect in four studies. Educational interventions were examined in six studies: four found no difference between the study groups and two found a significant difference in favor of the intervention group (p = 0.01). Special care programs also showed a significant effect in two studies.

CONCLUSION

Impact of offspring and their educational level on readmission and death among older adults with chronic obstructive pulmonary disease: a nationwide cohort study using multistate survival models

BACKGROUND

It is well described that there is social inequality in the disease course of chronic obstructive pulmonary disease (COPD), but the impact of social relations is less explored. We aimed to investigate the impact of adult offspring and their educational level on readmission and death among older adults with COPD.

METHODS

In total, 71 084 older adults born 1935-53 with COPD diagnosed at age ≥65 years in 2000-2018 were included. Multistate survival models were performed to estimate the impact of adult offspring (offspring (reference) vs no offspring) and their educational level (low, medium or high (reference)) on the transition intensities between three states: COPD diagnosis, readmission and all-cause death.

RESULTS

During follow-up, 29 828 (42.0%) had a readmission and 18 504 (26.0%) died with or without readmission. Not having offspring was associated with higher hazards of death without readmission (HRwomen: 1.52 (95% CI: 1.39 to 1.67), HRmen: 1.29 (95% CI: 1.20 to 1.39)) and a higher hazard of death after readmission for women only (HRwomen: 1.19 (95% CI: 1.08 to 1.30). Having offspring with low educational level was associated with higher hazards of readmission (HRwomen: 1.12 (95% CI: 1.06 to 1.19)), (HRmen: 1.06 (95%CI: 1.002 to 1.12)), death without readmission (HRwomen: 1.24 (95% CI: 1.11 to 1.39)), HRmen: 1.16 (95% CI: 1.05 to 1.29) and death after readmission for men only (HRmen: 1.15 (95% CI: 1.05 to 1.25)). Having offspring with medium educational level was associated with a higher hazard of death without readmission for women (HRwomen: 1.11 (95% CI: 1.02 to 1.21)).

CONCLUSION

Adult offspring and their educational level were associated with higher risk of readmission and death among older adults with COPD.

Association of Blood Inflammatory Biomarkers with Clinical Outcomes in Patients with AECOPD: An 8-Year Retrospective Study in Beijing

Purpose

To discover potential inflammatory biomarkers, which can compare favorably with traditional biomarkers, and their best cut-offs at first admission to predict clinical outcomes (short-term and long-term) and the risk of readmission among acute exacerbations of chronic obstructive pulmonary disease (AECOPD) patients.

Patients and Methods

Novel inflammatory biomarkers (such as the neutrophil-lymphocyte ratio [NLR], platelet-lymphocyte ratio [PLR], etc.) were compared with traditional biomarkers by Pearson's correlation test. Logistic regression analysis and receiver operating characteristic (ROC) curves were applied to judge the accuracy of these novel biomarkers to predict in-hospital mortality.

Results

Surviving AECOPD patients had lower NLR, PLR, and lymphocyte-to-monocyte ratios than non-survival patients (all P < 0.001). According to Pearson's correlation test, there was a linear correlation between novel and traditional biomarkers (all P < 0.05). In terms of a single biomarker, the AUC value of NLR was the largest, which was not inferior to C-reactive protein (Z-P = 0.064), and superior to erythrocyte sedimentation rate (Z-P = 0.002) and other novel single inflammatory biomarkers (all Z-P < 0.05). The mortality of patients with NLR ≥ 4.43 was 2.308-fold higher than that of patients with NLR < 4.43. After dividing patients into a higher or lower NLR group, pooled results showed that patients with NLR ≥ 4.43 had a higher rate of treatment failure, intensive care unit admission, longer hospital length of stay, one-year mortality after the index hospitalization, and overall mortality than patients with NLR < 4.43 (all P < 0.001). Patients with NLR ≥ 4.43 were associated with higher and earlier first readmission due to AECOPD than patients with lower NLR.

Conclusion

NLR was the best to forecast the clinical prognosis and readmission risk among AECOPD patients, which was not inferior to CRP, and the best cut-off value of NLR was 4.43.

Enhancing potential impact of hospital discharge interventions for patients with COPD: a qualitative systematic review

BACKGROUND

Patients with chronic obstructive pulmonary disease (COPD) are frequently readmitted to hospital resulting in avoidable healthcare costs. Many different interventions designed to reduce hospital readmissions are reported with limited evidence for effectiveness. Greater insight into how interventions could be better designed to improve patient outcomes has been recommended.

AIM

To identify areas for optimisation within previously reported interventions provided to reduce COPD rehospitalisation to improve future intervention development.

METHODS

A systematic review was conducted by searching Medline, Embase, CINAHL, PsycINFO, and CENTRAL in June 2022. Inclusion criteria were interventions provided to patients with COPD in the transition from hospital to home or community. Exclusion criteria were lack of empirical qualitative results, reviews, drug trials, and protocols. Study quality was assessed using the Critical Appraisal Skills Programme tool and results were synthesised thematically.

RESULTS

A total of 2,962 studies were screened and nine studies included. Patients with COPD experience difficulties when transitioning from hospital to home. It is therefore important for interventions to facilitate a smooth transition process and give appropriate follow-up post-discharge. Additionally, interventions should be tailored for each patient, especially regarding information provided.

CONCLUSION

Very few studies specifically consider processes underpinning COPD discharge intervention implementation. There is a need to recognise that the transition itself creates problems, which require addressing, before introducing any new intervention. Patients report a preference for interventions to be individually adapted-in particular the provision of patient information. Whilst many intervention aspects were well received, feasibility testing may have enhanced acceptability. Patient and public involvement may address many of these concerns and greater use of process evaluations should enable researchers to learn from each other's experiences.

TRIAL REGISTRATION

The review was registered in PROSPERO with registration number CRD42022339523.

EXAcerbations of COPD and their OutcomeS on CardioVascular diseases (EXACOS-CV) Programme: protocol of multicountry observational cohort studies

INTRODUCTION

In patients with chronic obstructive pulmonary disease (COPD), the risk of certain cardiovascular (CV) events is increased by threefold to fivefold in the year following acute exacerbation of COPD (AECOPD), compared with a non-exacerbation period. While the effect of severe AECOPD is well established, the relationship of moderate exacerbation or prior exacerbation to elevated risk of CV events is less clear. We will conduct cohort studies in multiple countries to further characterise the association between AECOPD and CV events.

METHODS AND ANALYSIS

Retrospective longitudinal cohort studies will be conducted within routinely collected electronic healthcare records or claims databases. The study cohorts will include patients meeting inclusion criteria for COPD between 1 January 2014 and 31 December 2018. Moderate exacerbation is defined as an outpatient visit and/or medication dispensation/prescription for exacerbation; severe exacerbation is defined as hospitalisation for COPD. The primary outcomes of interest are the time to (1) first hospitalisation for a CV event (including acute coronary syndrome, heart failure, arrhythmias or cerebral ischaemia) since cohort entry or (2) death. Time-dependent Cox proportional hazards models will compare the hazard of a CV event between exposed periods following exacerbation (split into these periods: 1-7, 8-14, 15-30, 31-180 and 181-365 days) and the unexposed reference time period, adjusted on time-fixed and time-varying confounders.

ETHICS AND DISSEMINATION

Studies have been approved in Canada, Japan, the Netherlands, Spain and the UK, where an institutional review board is mandated. For each study, the results will be published in peer-reviewed journals.

Videoconferencing interventions and COPD patient outcomes: A systematic review

INTRODUCTION

Videoconferencing circumvents various physical and financial barriers associated with in-person care. Given this technology's potential benefits and timely nature, we conducted a systematic review to understand how videoconferencing for chronic obstructive pulmonary disease (COPD) follow-up care affects patient-related outcomes.

METHODS

We included primary research evaluating the use of bidirectional videoconferencing for COPD patient follow-up. The outcomes of interest were resource utilization, mortality, lifestyle factors, patient satisfaction, barriers, and feasibility. We searched MEDLINE, EMBASE, EBM Reviews, and CINAHL databases for articles published from January 1, 2010, to August 2, 2021. Relevant information was extracted and presented descriptively and common themes and patterns were identified. The risk of bias for each study was assessed using design-specific validated tools.

RESULTS

We included 39 studies of 18,194 patients (22 quantitative, 12 qualitative, and 5 mixed methods). The included studies were grouped by type of intervention; 18 studies explored videoconferencing for exercise, 19 explored videoconferencing for clinical assessment/monitoring, and 2 examined videoconferencing for education. Generally, videoconferencing was associated with high levels of patient satisfaction. There were mixed results in terms of its effects on resource utilization and lifestyle-related factors. Additionally, 12 studies were at high risk of bias, indicating that these results should be interpreted with caution.

CONCLUSIONS

The videoconferencing interventions resulted in high levels of patient satisfaction, despite facing technological issues. Overall, more research is needed to better understand the effects of videoconferencing interventions on resource utilization and other patient outcomes, quantifying their advantages over in-person care.

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.

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.

Characterising hospitalisation risk for chronic obstructive pulmonary disease exacerbations: Bedside and outpatient clinic assessments of easily measured variables

OBJECTIVE

To identify the characteristics of people with chronic obstructive pulmonary disease (COPD) who require hospitalisation for exacerbations.

METHODS

People with COPD were recruited either during hospitalisation or from out-patient respiratory medicine clinics. Hospital admissions were tracked throughout the 5-months recruitment period. For participants who were admitted, hospital readmissions were tracked for at least 30 days following discharge. Participants were grouped as either needing; (i) no hospital admission during the study period (no admission; ø-A), (ii) one or more hospital admissions during the study period but no readmission within 30 days of discharge (no rapid readmission; ø-RR) or (iii) one or more hospital admissions with a readmission within 30 days of discharge (rapid readmission; RR).

RESULTS

Compared with the ø-A group (n=211), factors that independently increased the risk of ø-RR (n=146) and/or RR (n=57) group membership were being aged >60 years, identifying as an Indigenous person (relative risk ratio, 95% confidence interval 7.8 [1.8 to 34.0]) and the use of a support person or community service for activities of daily living (1.5 [1.0 to 2.4]. A body mass index ≥25 kg/m2 was protective.

CONCLUSIONS

Variables recorded at the bedside or in clinic provided information on hospitalisation risk.

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.

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.

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.

Safety and immunogenicity of three doses of non-typeable Haemophilus influenzae-Moraxella catarrhalis (NTHi-Mcat) vaccine when administered according to two different schedules: a phase 2, randomised, observer-blind study

Background

Non-typeable Haemophilus influenzae (NTHi) and Moraxella catarrhalis (Mcat) infections are frequently associated with exacerbations of chronic obstructive pulmonary disease (COPD). Results were reported with a two-dose (0–2 months) schedule of an investigational AS01_E-adjuvanted NTHi-Mcat vaccine containing three surface proteins from NTHi and one from Mcat. We evaluated the safety and immunogenicity of three NTHi-Mcat vaccine doses administered in two different schedules to adults with a smoking history (≥ 10 pack-years), immunologically representing the COPD population.

Methods

In this 18-month, randomised (1:1), observer-blind study with 6-month open follow-up, 200 healthy adults aged 40–80 years received NTHi-Mcat vaccine at 0–2–6 months and placebo at 12 months (0–2–6 group), or vaccine at 0–2–12 months and placebo at 6 months (0–2–12 group). Solicited and unsolicited adverse events (AEs) were recorded for 7 and 30 days, respectively, post-vaccination, and potential immune-mediated diseases (pIMDs) and serious AEs (SAEs) throughout the study. Immune responses were assessed.

Results

No safety concerns were identified with the third vaccine dose or overall. Most solicited AEs were mild/moderate. Unsolicited AEs were reported in 16%, 16.1% and 14.4% of participants in the 0–2–6 group post-dose 1, 2 and 3, respectively, and 20%, 20.4% and 9.7%, respectively, in the 0–2–12 group. In 24 months, SAEs were reported in 12 participants in the 0–2–6 group and 9 in the 0–2–12 group (18 events in each group). There were three deaths (unknown cause, 0–2–6 group; myocardial infarction, lung cancer in 0–2–12 group). pIMDs were reported in three participants in the 0–2–6 group (non-serious inflammatory bowel disease, gout, psoriasis) and three in the 0–2–12 group (serious ulcerative colitis, two with non-serious gout). The SAEs, deaths and pIMDs were considered not causally related to vaccination. Antigen-specific antibody concentrations were higher at 12 months post-dose 1 with the 0–2–6 schedule than with the 0–2–12 schedule and at 12 months post-dose 3 were similar between schedules, remaining higher than baseline.

Conclusions

No safety concerns were identified when the investigational NTHi-Mcat vaccine was administered via a 0–2–6 months or 0–2–12 months schedule to older adults with a smoking history. Persistent immune responses were observed after the third vaccine dose.

Trial registrationhttps://clinicaltrials.gov/; NCT03443427, registered February 23, 2018.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12931-022-02019-4.

The clinical utility of forced oscillation technique during hospitalisation in patients with exacerbation of COPD

Background

Forced Oscillation Technique (FOT) is an innovative tool to measure within-breath reactance at 5 Hz (ΔXrs_5Hz) but its feasibility and utility in acute exacerbations of COPD (AECOPD) is understudied.

Methods

A prospective observational study was conducted in 82 COPD patients admitted due to AECOPD. FOT indices were measured and the association between these indices and spirometry, peak inspiratory flow rate, blood inflammatory biomarkers and patient-reported outcomes including assessment of dyspnoea, quality of life, anxiety and depression and frailty at admission and discharge were explored.

Results

All patients were able to perform FOT in both sitting and supine position. The prevalence of expiratory flow limitation (EFL) in the upright position was 39% (32 out of 82) and increased to 50% (41 out of 82) in the supine position. EFL (measured by ΔXrs_5Hz) and resistance at 5 Hz (Rrs_5Hz) negatively correlated with forced expiratory volume in 1 s (FEV₁); those with EFL had lower FEV₁ (0.74±0.30 versus 0.94±0.36 L, p = 0.01) and forced vital capacity (1.7±0.55 versus 2.1±0.63 L, p = 0.009) and higher body mass index (27 (21–36) versus 23 (19–26) kg·m⁻², p = 0.03) compared to those without EFL. During recovery from AECOPD, changes in EFL were observed in association with improvement in breathlessness.

Conclusion

FOT was easily used to detect EFL during hospitalisation due to AECOPD. The prevalence of EFL increased when patients moved from a seated to a supine position and EFL was negatively correlated with airflow limitation. Improvements in EFL were associated with a reduction in breathlessness. FOT is of potential clinical value by providing a noninvasive, objective and effort-independent technique to measure lung function parameters during AECOPD requiring hospital admission.

FOT is easily used to detect EFL during hospitalisation due to AECOPD. FOT is of potential clinical value by providing a noninvasive, objective and effort-independent technique to measure lung function parameters during AECOPD requiring hospital admission.https://bit.ly/3vTJpCI

Predictors of 30- and 90-Day COPD Exacerbation Readmission: A Prospective Cohort Study

Background

Readmission following COPD exacerbation is a common and challenging clinical problem. New approaches to predicting readmissions are required to help mitigate risk and develop novel interventions.

Methods

We conducted a prospective cohort study in 82 COPD patients admitted due to an exacerbation of COPD. Lung function measures [spirometry, forced oscillation technique (FOT) indices and peak inspiratory flow rate (PIFR)], inflammatory biomarkers and patient-reported outcomes including previous exacerbation history, breathlessness, quality of life and frailty were measured at admission and discharge. We prospectively followed patients for 30 and 90 days to identify predictors for readmission.

Results

The readmission rate within 30 days was 38%, and 56% within 90 days. Previous exacerbations, higher COPD Assessment Test score at discharge, frailty, reduced PIFR and increased length of stay were significantly associated with 30-day readmission. PIFR at discharge and frailty had the highest predictive ability for 30-day readmission using area under receiver operating characteristic curves (AUC 0.86, 95% CI 0.78–0.95, p < 0.001 and AUC 0.81, 95% CI 0.71–0.90, p < 0.001, respectively). Ninety-day readmissions were significantly associated with previous exacerbations and hospitalisations, higher CAT score at discharge, frailty, depression, lower PIFR and greater expiratory flow limitation (EFL) in the supine position. The best predictive variable in multivariable analysis for both 30- and 90-day readmission was PIFR at discharge.

Conclusion

PIFR, CAT score, frailty, and EFL were found to be associated with 30- and 90-day readmission following COPD exacerbation. These findings help identify those at highest risk and to optimise care prior to discharge.

Prediction of readmission in patients with acute exacerbation of chronic obstructive pulmonary disease within one year after treatment and discharge

Background

To investigate the risk factors and construct a logistic model and an extreme gradient boosting (XGBoost) model to compare the predictive performances for readmission in acute exacerbation of chronic obstructive pulmonary disease (AECOPD) patients within one year.

Methods

In total, 636 patients with AECOPD were recruited and divided into readmission group (n = 449) and non-readmission group (n = 187). Backward stepwise regression method was used to analyze the risk factors for readmission. Data were divided into training set and testing set at a ratio of 7:3. Variables with statistical significance were included in the logistic model and variables with P < 0.1 were included in the XGBoost model, and receiver operator characteristic (ROC) curves were plotted.

Results

Patients with acute exacerbations within the previous 1 year [odds ratio (OR) = 4.086, 95% confidence interval (CI) 2.723–6.133, P < 0.001), long-acting β agonist (LABA) application (OR = 4.550, 95% CI 1.587–13.042, P = 0.005), inhaled corticosteroids (ICS) application (OR = 0.227, 95% CI 0.076–0.672, P = 0.007), glutamic-pyruvic transaminase (ALT) level (OR = 0.985, 95% CI 0.971–0.999, P = 0.042), and total CAT score (OR = 1.091, 95% CI 1.048–1.136, P < 0.001) were associated with the risk of readmission. The AUC value of the logistic model was 0.743 (95% CI 0.692–0.795) in the training set and 0.699 (95% CI 0.617–0.780) in the testing set. The AUC value of XGBoost model was 0.814 (95% CI 0.812–0.815) in the training set and 0.722 (95% CI 0.720–0.725) in the testing set.

Conclusions

The XGBoost model showed a better predictive value in predicting the risk of readmission within one year in the AECOPD patients than the logistic regression model. The findings of our study might help identify patients with a high risk of readmission within one year and provide timely treatment to prevent the reoccurrence of AECOPD.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12890-021-01692-3.

Strategies to Prevent Readmissions to Hospital for COPD: A Systematic Review

Patients with chronic obstructive pulmonary disease (COPD) experience high rates of hospital readmissions, placing substantial clinical and economic strain on the healthcare system. Therefore, it is essential to implement evidence-based strategies for preventing these readmissions. The primary objective of our systematic review was to identify and describe the domains of existing primary research on strategies aimed at reducing hospital readmissions among adult patients with COPD. We also aimed to identify existing gaps in the literature to facilitate future research efforts. A total of 843 studies were captured by the initial search and 96 were included in the final review (25 randomized controlled trials, 37 observational studies, and 34 non-randomized interventional studies). Of the included studies, 72% (n = 69) were considered low risk of bias. The majority of included studies (n = 76) evaluated patient-level readmission prevention strategies (medication and other treatments (n = 25), multi-modal (n = 19), follow-up (n = 16), telehealth (n = 8), education and coaching (n = 8)). Fewer assessed broader system- (n = 13) and policy-level (n = 7) strategies. We observed a trend toward reduced all-cause readmissions with the use of medication and other treatments, as well as a trend toward reduced COPD-related readmissions with the use of multi-modal and broader scale system-level interventions. Notably, much of this evidence supported shorter-term (30-day) readmission outcomes, while little evidence was available for longer-term outcomes. These findings should be interpreted with caution, as considerable between-study heterogeneity was also identified. Overall, this review identified several evidence-based interventions for reducing readmissions among patients with COPD that should be targeted for future research.Supplemental data for this article is available online at https://doi.org/10.1080/15412555.2021.1955338 .

Reduction in hospitalised COPD exacerbations during COVID-19: A systematic review and meta-analysis

BACKGROUND

Reports have suggested a reduction in exacerbations of chronic obstructive pulmonary disease (COPD) during the coronavirus disease 2019 (COVID-19) pandemic, particularly hospital admissions for severe exacerbations. However, the magnitude of this reduction varies between studies.

METHOD

Electronic databases were searched from January 2020 to May 2021. Two independent reviewers screened titles and abstracts and, when necessary, full text to determine if studies met inclusion criteria. A modified version of the Newcastle-Ottawa Scale was used to assess study quality. A narrative summary of eligible studies was synthesised, and meta-analysis was conducted using a random effect model to pool the rate ratio and 95% confidence intervals (95% CI) for hospital admissions. Exacerbation reduction was compared against the COVID-19 Containment and Health Index.

RESULTS

A total of 13 of 745 studies met the inclusion criteria and were included in this review, with data from nine countries. Nine studies could be included in the meta-analysis. The pooled rate ratio of hospital admissions for COPD exacerbations during the pandemic period was 0.50 (95% CI 0.44-0.57). Findings on the rate of community-treated exacerbations were inconclusive. Three studies reported a significant decrease in the incidence of respiratory viral infections compared with the pre-pandemic period. There was not a significant relationship between exacerbation reduction and the COVID-19 Containment and Health Index (rho = 0.20, p = 0.53).

CONCLUSION

There was a 50% reduction in admissions for COPD exacerbations during the COVID-19 pandemic period compared to pre-pandemic times, likely associated with a reduction in respiratory viral infections that trigger exacerbations. Future guidelines should consider including recommendations on respiratory virus infection control measures to reduce the burden of COPD exacerbations beyond the pandemic period.

The Association with COPD Readmission Rate and Access to Medical Institutions in Elderly Patients

Purpose

Up to 20% of patients with chronic obstructive pulmonary disease (COPD) require re-admission within 30 days of discharge after hospitalization for acute exacerbations of the disease. These re-admissions can increase morbidity and the economic burden of COPD. Reducing re-admissions has become a policy target in many developed countries. We investigated the risk factors for COPD re-admissions among older adults with COPD.

Patients and Methods

Data obtained from the National Health Insurance Service-Senior Cohort (NHIS-SC) in Korea were analyzed. The subjects included 558,147 patients aged ≥70 who had been admitted for COPD between 2013 and 2015. Re-admission was defined as being re-hospitalized within 30 days after discharge. The key variables selected from the database included income-based insurance contributions, demographical variables, information on inpatient medical services, types of healthcare facilities, and emergency time relevance index (TRI). The TRI is a regional medical-use analysis index that evaluates whether the capacity of the medical services available is appropriate for the medical needs of the target residents.

Results

In 814 COPD re-admission cases among 4867 total admissions due to COPD in elderly subjects, higher re-admission rates were associated with male sex, admission to district hospitals, medical aid recipients, and a longer hospital stay. When additionally adjusting the TRI to identify the difference in re-admission rates due to medical service accessibility, the same results were found, except for the areas of residence. The TRI was lower in re-admission cases (odds ratio 0.991 [95% CI, 0.984‒0.998], P = 0.013).

Conclusion

In this study, COPD re-admission rates among older adults were significantly associated with sex, length of hospital stay, and the type of hospital. The capacity of the medical services provided was also related to the COPD re-admission rate. Better access to appropriate emergency services is associated with reduction of COPD re-admission rates.

Management and Risk of Mortality in Patients Hospitalised Due to a First Severe COPD Exacerbation

Background

Reducing the need for hospitalisation in patients with chronic obstructive pulmonary disease (COPD) is an important goal in COPD management. The aim of this study was to evaluate re-hospitalisation, treatment, comorbidities and mortality in patients with COPD who were hospitalised for the first time due to a COPD exacerbation.

Methods

This was a retrospective, population-based observational cohort study of Swedish patients using linked data from three mandatory national health registries to assess re-hospitalisation rates, medication use and mortality. Rate of hospitalisation was calculated using the number of events divided by the number of person-years at risk; risk of all-cause and COPD-related mortality were assessed using Cox proportional hazard models.

Results

In total, 51,247 patients were identified over 10 years; 35% of patients were not using inhaled corticosteroid, long-acting muscarinic antagonist or long-acting β2-agonist treatment prior to hospitalisation, 38% of whom continued without treatment after being discharged. Re-hospitalisation due to a second severe exacerbation occurred in 11.5%, 17.8% and 24% of the patients within 30, 90 and 365 days, respectively. Furthermore, 24% died during the first year following hospitalisation and risk of all-cause and COPD-related mortality increased with every subsequent re-hospitalisation. Comorbidities, including ischaemic heart disease, heart failure and pneumonia, were more common amongst patients who were re-hospitalised than those who were not.

Conclusion

Following hospitalisation for first severe COPD exacerbation, many patients did not collect the treatment recommended by current guidelines. Risk of mortality increased with every subsequent re-hospitalisation. Patients with concurrent comorbidities had an increased risk of being re-hospitalised.

Diagnostic and clinical values of non-cardiac ultrasound in COPD: A systematic review

BACKGROUND

Clinical and research utility of non-cardiac ultrasound (US) in chronic obstructive pulmonary disease (COPD) has been widely investigated. However, there is no systematic review assessing the clinical values of non-cardiac US techniques in COPD.

METHODS

We systematically searched electronic databases from inception to 24 June 2020. Two independent reviewers in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines extracted data. A narrative synthesis of the results was conducted considering non-cardiac US techniques that looked for diaphragm, muscles and bones in patients with COPD.

RESULTS

In total, 2573 abstracts were screened, and 94 full-text papers were reviewed. A total of 54 studies met the inclusion criteria. Thirty-five studies assessed the diaphragm, while 19 studies evaluated different muscles, including limb muscles and pulmonary lesions in COPD using US. Of the 54 included studies, 30% (16/54) evaluated the changes in either limb muscles or diaphragmatic features before and after physical interventions; 67% (36/54) assessed the correlations between sonographic features and COPD severity. Indeed, 14/15 and 9/13 studies reported a significant reduction in diaphragm excursion and thickness in COPD compared with healthy subjects, respectively; this was correlated significantly with the severity and prognosis of COPD. Three studies reported links between diaphragm length and COPD, where lower diaphragm length correlated with poorer prognosis and outcomes. Quadriceps (rectus femoris), ankle dorsiflexor (tibialis anterior) and vastus lateralis were the most common muscles in COPD assessed by US. More than 70% (12/17) of the studies reported a significant reduction in the cross-sectional area (CSA) of the rectus femoris, rectus femoris and vastus lateralis thickness in COPD compared with healthy subjects. Quadriceps CSA and thickness correlated positively with COPD prognosis, in which patients with reduced quadriceps CSA and thickness have higher risk of exacerbation, readmission and death.

CONCLUSION

US measurements of diaphragm excursion and thickness, as well as lower limb muscles strength, size and thickness, may provide a safe, portable and effective alternative to radiation-based techniques in diagnosis and prognosis as well as tracking improvement postintervention in patients with COPD.