Review of Kleinsorge, Pasha, Boesing et al. (2023) Treatment Adjustment in (Swiss) COPD Patients

Kleinsorge et al. 2023 — GIVEMEA Study Guide
GIVEMEA Study Guide · COPD Management & Primary Care

Clinical Characteristics Governing Treatment Adjustment in COPD Patients

Kleinsorge, Pasha, Boesing et al. · Swiss Medical Weekly, 153:40114 · 2023

Observational Cohort Study Mixed Logistic Models n = 195 COPD Patients Swiss Primary Care, 2015–2019
195Patients Analysed
690Total Visits
28%Visits with Tx Change
24General Practitioners
71%Had Comorbidities
Central Finding
In Swiss primary care, COPD treatment adjustments are driven primarily by spirometric severity and GOLD group classification — not by patient-reported symptoms. Comorbidities actively reduce the probability of treatment change, and exacerbations do not reliably trigger step-ups in therapy.

Research Question

What clinical characteristics govern pharmacological and non-pharmacological treatment adjustments in COPD patients managed within primary care, and how well do these decisions align with GOLD guideline recommendations?

Why It Matters

COPD affects approximately 11.7% of the global population and is the fourth leading cause of death worldwide. Despite GOLD guidelines providing clear treatment pathways, real-world clinical practice diverges substantially from those recommendations — contributing to under- and over-treatment, and persistent morbidity.

Key Gap Addressed

It was unclear which specific patient characteristics actually trigger treatment changes in primary care settings. Patient-reported tools like the CAT questionnaire are recommended by GOLD but seldom used systematically — and it was unknown whether symptom scores influenced therapy decisions in practice.

Main Contribution

This study quantifies, using multivariable mixed models, the associations between disease features and treatment adjustment direction. It shows that spirometric severity (GOLD FEV1 grades) and GOLD group C status predict step-ups, while comorbidities suppress treatment changes — even when COPD symptoms worsen. This has direct implications for guideline dissemination and GP education.

Treatment Change Breakdown

Change Type Visits (n) Share of Changes Key Predictors
Step Up Only9449.5%GOLD Group C; severe/very severe FEV1 obstruction; no comorbidities
Step Down Only6232.6%Higher CAT score; prior exacerbation; GOLD Group C
Step Up + Step Down Simultaneously3417.9%Exacerbation; very severe obstruction (OR 589)
No Change50072% of all visits

■ Disease & Staging   ■ Measurement Tools   ■ Treatment Concepts   ■ Study Methodology

Disease & Staging

COPD
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COPD
Chronic Obstructive Pulmonary Disease. A chronic inflammatory lung disease causing irreversible airflow limitation, confirmed by a post-bronchodilator FEV1/FVC ratio below 70%. Characterised by progressive breathlessness, cough, and sputum production.
GOLD Stages 1–4
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GOLD Stages 1–4
Spirometric severity grades based on FEV1 % predicted: Stage 1 (mild, ≥80%), Stage 2 (moderate, 50–79%), Stage 3 (severe, 30–49%), Stage 4 (very severe, <30%). Distinct from GOLD groups A–D, which also incorporate symptoms and exacerbation history.
GOLD Groups A–D
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GOLD Groups A–D
Patient classification combining symptom burden (CAT/mMRC) and exacerbation history. Group A = low symptoms, low exacerbation risk; Group B = high symptoms, low risk; Group C = low symptoms, high risk; Group D = high symptoms, high risk. Used to guide pharmacological treatment selection.
Exacerbation
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Exacerbation
An acute worsening of COPD symptoms beyond normal day-to-day variation, often requiring a change in therapy. Frequency of exacerbations is a key criterion for assigning patients to GOLD Groups C and D and is a major driver of morbidity and mortality.
Multimorbidity
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Multimorbidity
The co-occurrence of two or more chronic conditions in one patient. In this study, 71.3% of patients had at least one comorbidity (cardiovascular disease, diabetes, asthma, or malignancy). The presence of comorbidities was independently associated with a lower likelihood of treatment change.

Measurement Tools

CAT Score
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CAT Score
COPD Assessment Test. An 8-item patient-reported questionnaire (0–40 points) measuring health status impact. Scores below 10 indicate low impact; above 10 indicate high impact. GOLD recommends CAT use for grouping patients, but this study found it was not associated with treatment step-ups in practice.
mMRC Scale
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mMRC Scale
Modified Medical Research Council dyspnoea scale. A 0–4 grading of breathlessness severity, used alongside CAT as an alternative symptom measure in the GOLD classification system. Excluded from the multivariable models in this study due to its close correlation with GOLD group assignment.
Spirometry
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Spirometry
Lung function test measuring FEV1 (forced expiratory volume in 1 second), FVC (forced vital capacity), and the Tiffeneau index (FEV1/FVC ratio). A post-bronchodilator FEV1/FVC <70% is required to confirm COPD. This study found 32.6% of recruited patients lacked spirometric confirmation of their diagnosis.
FEV1
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FEV1
Forced Expiratory Volume in 1 second. The volume of air a patient can forcibly exhale in one second. Expressed as a percentage of predicted value to determine GOLD spirometric stage. In this study, severe (OR 4.24) and very severe (OR 5.48) FEV1 impairment strongly predicted treatment step-ups.

Treatment Concepts

LABA / LAMA
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LABA / LAMA
Long-Acting Beta-Agonist / Long-Acting Muscarinic Antagonist. First-line maintenance bronchodilators for COPD Groups B and C. LABAs relax airway smooth muscle; LAMAs reduce bronchoconstriction. LAMA/LABA combination is indicated for Group D and considered for Groups B/C with ongoing symptoms.
SABA / SAMA
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SABA / SAMA
Short-Acting Beta-Agonist / Short-Acting Muscarinic Antagonist. Used as rescue inhalers or first-line treatment for GOLD Group A patients. A treatment change counted in this study as a step-up or step-down only if it involved a different substance class, not just a switch within the same class.
Step-Up / Step-Down
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Step-Up / Step-Down
A step-up = addition of a new substance class (intensification); a step-down = removal of a substance class (de-escalation). A visit could involve both simultaneously, e.g. adding a LAMA while discontinuing a SABA. This study’s primary outcome was categorised into these three adjustment types.
Pulmonary Rehabilitation
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Pulmonary Rehabilitation
A non-pharmacological intervention combining exercise training, education, and self-management support for COPD patients. Classified as a treatment change in this study if newly prescribed. Only 9.2% of patients received pulmonary rehabilitation at any point during the study period — reflecting underuse in primary care.

Study Methodology

Mixed Logistic Model
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Mixed Logistic Model
A statistical model for binary outcomes (e.g. change vs no change in therapy) that includes both fixed effects (disease characteristics) and random effects (individual patient). Used here because multiple visits per patient create correlated observations. Outputs odds ratios with 95% confidence intervals.
Odds Ratio (OR)
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Odds Ratio (OR)
A measure of association indicating how much more (or less) likely an outcome is given a particular exposure. OR >1 = higher odds; OR <1 = lower odds. For example, an OR of 4.24 for severe obstruction vs mild obstruction on treatment step-up means those patients were 4.24 times more likely to have therapy increased.
Observational Cohort
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Observational Cohort
A study design that follows a defined group of participants over time without experimental intervention. Researchers observe and record naturally occurring exposures and outcomes. The Swiss COPD Cohort Study is an ongoing, multicentre, population-based observational cohort with data collected since 2007.
Selection Bias
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Selection Bias
A distortion in study results arising when the study sample is not representative of the target population. In this study, patients who missed follow-up visits were excluded, and participation was voluntary. This may have resulted in a healthier, more engaged patient sample than the broader COPD population.
Methods Summary
An observational cohort of 195 Swiss primary care COPD patients was followed over multiple visits from 2015–2019. Multivariable mixed logistic models identified predictors of three treatment change categories: step-up, step-down, and simultaneous step-up and step-down.

Study Design & Setting

  • Sub-study of the ongoing Swiss COPD Cohort Study (multicentre, population-based, observational)
  • 24 general practitioners from multiple Swiss cantons recruited patients
  • Baseline visit followed by re-examinations every 6 months
  • Ethics approval from EKNZ and cantonal committees; ClinicalTrials.gov: NCT02065921

Inclusion Criteria

  • Post-bronchodilator FEV1/FVC <70% (spirometric COPD confirmation)
  • Age >40 years
  • Smoker or ex-smoker with at least 20 pack-years
  • Written informed consent
  • At least one follow-up visit within 12 months of baseline

Data Collection

  • Baseline: demographics, smoking history, spirometry (per ERS/ATS standards), CAT score, mMRC, comorbidities, medications
  • Follow-up visits: CAT, mMRC, exacerbation history, hospitalisations, medication changes, pulmonary rehabilitation
  • Data entered into a central electronic database (RDE Light)
  • Comorbidities recorded: asthma, cardiovascular diseases, diabetes, malignant diseases

Primary Outcome Definition

  • A treatment change was defined as any change in substance class of medication, or the new prescription of pulmonary rehabilitation
  • Switching within the same substance class did not count as a change
  • Three mutually exclusive outcome categories: (1) step-up only, (2) step-down only, (3) simultaneous step-up and step-down

Statistical Approach

  • Descriptive statistics: means ± SD for continuous variables; frequencies for categorical variables
  • Separate univariable and multivariable generalised logistic mixed models (SAS GLIMMIX procedure, v9.4)
  • Fixed effects: disease characteristics (CAT, comorbidities, exacerbation, GOLD group, GOLD FEV1 stage, cough/sputum); random effect: individual patient
  • mMRC excluded from multivariable model due to collinearity with GOLD group assignment
  • Hypothesis testing: Wald test; p-values interpreted descriptively

Sample & Exclusions

  • 260 patients screened; 253 with spirometric COPD diagnosis
  • 48 excluded for missing follow-up or visits >1 year apart
  • 10 excluded for missing medication data
  • Final analytic sample: 195 patients / 690 visits
  • 32.6% of the overall recruited population lacked spirometric confirmation of COPD — a notable quality finding in itself

Select cited works central to interpreting the study's findings. Click any card to expand.

This Paper

Clinical Characteristics Governing Treatment Adjustment in COPD Patients: Results from the Swiss COPD Cohort Study

Kleinsorge L, Pasha Z, Boesing M, Abu Hussein N, Bridevaux PO, Chhajed PN, Geiser T, Joos Zellweger L, Kohler M, Maier S, Miedinger D, Tamm M, Thurnheer R, von Garnier C, Leuppi JD · Swiss Medical Weekly, 153:40114 · 2023
★ Primary Source Swiss Med Wkly Observational Cohort
Citation

Kleinsorge L, Pasha Z, Boesing M, Abu Hussein N, Bridevaux PO, Chhajed PN, Geiser T, Joos Zellweger L, Kohler M, Maier S, Miedinger D, Tamm M, Thurnheer R, von Garnier C, Leuppi JD. Clinical characteristics governing treatment adjustment in COPD patients: results from the Swiss COPD cohort study. Swiss Med Wkly. 2023;153:40114. DOI: 10.57187/smw.2023.40114

About This Study

An observational cohort sub-study drawing on data from 195 COPD patients recruited by 24 Swiss general practitioners between 2015 and 2019 (690 total visits). Using multivariable mixed logistic models, the study identified clinical predictors of three types of treatment adjustment — step-up, step-down, and simultaneous step-up and step-down — with the primary aim of understanding how real-world COPD management in primary care diverges from GOLD guideline recommendations.

Funding was provided by Boehringer Ingelheim GmbH, GSK AG Switzerland, and Novartis AG Switzerland, with declared non-involvement in study design, data collection, or manuscript preparation. Ethical approval: EKNZ (EK Nr. 170/06); ClinicalTrials.gov: NCT02065921.

View paper → doi:10.57187/smw.2023.40114
[1]

GOLD Global Strategy for COPD Diagnosis, Management and Prevention

Global Initiative for Chronic Obstructive Lung Disease (GOLD) · 2019 & updates
★ Core Guideline goldcopd.org Framework Reference
Why It Matters Here

The GOLD strategy is the primary normative framework against which all treatment decisions in this study are evaluated. It defines the ABCD grouping system, specifies recommended pharmacological regimens per group, and endorses the CAT and mMRC as standard assessment tools. The 2017 revision introduced the separation of spirometric grading from symptom-based grouping — a refinement central to this study's analytic structure.

A 2022/2023 update proposed merging Groups C and D into a single Group E for frequent exacerbators. This is directly referenced in the discussion, as the study's finding that Group C is associated with all types of treatment change (up, down, and both) may have contributed to the rationale for that consolidation.

View guidelines → goldcopd.org
[3]

Adherence to GOLD Recommendations among Swiss Pulmonologists and General Practitioners

Marmy et al. · COPD, 18(1):9–15 · 2021
★ Key Comparator Swiss Cohort Adherence Study
Why It Matters Here

Marmy et al. provide the most directly comparable Swiss-context finding: up to 53% of COPD patients in their study were not consistently treated according to GOLD 2017 recommendations. This corroborates Kleinsorge et al.'s observation of real-world guideline deviation and underlines the persistence of the gap between evidence-based guidelines and Swiss primary care practice.

Both studies emphasise the under-use of standardised patient-reported outcome measures (CAT, mMRC) by general practitioners — a finding that, in Kleinsorge et al., may explain why symptom scores did not predict treatment changes.

View paper → doi:10.1080/15412555.2020.1859469
[11]

Determinants for Changing the Treatment of COPD: A Regression Analysis from a Clinical Audit

López-Campos et al. · Int J COPD, 11:1171–1178 · 2016
★ Direct Comparator Clinical Audit Treatment Determinants
Why It Matters Here

López-Campos et al. investigated the same research question in a Spanish clinical audit context and found that disease exacerbation was the main driver of treatment intensification among those whose treatment was changed. This directly contrasts with Kleinsorge et al.'s finding that exacerbation did not predict a step-up in the Swiss cohort — one of the study's most unexpected results.

The comparison highlights how healthcare system context, practice culture, and guideline implementation infrastructure can produce meaningfully different real-world treatment patterns even when the clinical guidelines are the same.

View paper → doi:10.2147/COPD.S103614
[17]

General Practitioner's Adherence to COPD GOLD Guidelines: Baseline Data of the Swiss COPD Cohort Study

Jochmann et al. · Swiss Medical Weekly, 140 · 2010
★ Same Cohort Swiss Med Wkly Historical Baseline
Why It Matters Here

Jochmann et al. represent the earlier baseline report from the same Swiss COPD Cohort Study. They documented that general practitioners often did not use the CAT questionnaire and failed to perform spirometry on a routine basis — the same structural deficiencies that Kleinsorge et al. continue to observe a decade later. This continuity is sobering: it suggests these gaps in guideline adherence are persistent features of primary care COPD management in Switzerland, not transient deficiencies.

View paper → doi:10.4414/smw.2010.13053
[19]

Compliance of Pharmacotherapy with GOLD Guidelines: A Longitudinal Study in Patients with COPD

Grewe et al. · Int J COPD, 15:627–635 · 2020
★ Key Context Swiss Cohort Pharmacotherapy Compliance
Why It Matters Here

Grewe et al. found that drug prescriptions for COPD were only partially compliant with GOLD guidelines (59.1% adherence rate) and noted that more severely ill patients were more likely to receive guideline-concordant treatment. This finding aligns with Kleinsorge et al.'s results, which similarly show that severe to very severe spirometric obstruction is a stronger predictor of treatment adjustment than symptom burden.

Together, these studies suggest a consistent pattern in Swiss care: spirometric severity is a more actionable decision trigger than patient-reported symptoms, possibly due to the objective and quantitative nature of spirometry results versus subjective questionnaire scores.

View paper → doi:10.2147/COPD.S240444
Question 1 of 5
In the multivariable analysis, which factor was most strongly associated with a therapy step-up in COPD patients?
✓ Correct. Severe obstruction (OR 4.24) and very severe obstruction (OR 5.48) were the strongest independent predictors of a treatment step-up, well above any association with CAT score or exacerbation.
Not quite. Counter-intuitively, high CAT scores, exacerbation, and comorbidities were not associated with step-ups. It was spirometric severity (GOLD FEV1 stages 3–4) that most strongly predicted treatment intensification.
Question 2 of 5
What was the unexpected finding regarding the effect of comorbidities on treatment changes?
✓ Correct. Patients with comorbidities were significantly less likely to receive a treatment step-up (OR 0.42, p = 0.002). The authors suggest this may be because physicians attribute worsening dyspnoea to non-pulmonary causes, or that polypharmacy concerns create hesitancy.
Not quite. The surprising result was that comorbidities suppressed treatment intensification. Patients with comorbidities were 58% less likely (OR 0.42) to have therapy stepped up, possibly because physicians do not attribute symptom worsening to COPD in multimorbid patients.
Question 3 of 5
What percentage of visits in the study resulted in a treatment change?
✓ Correct. 190 of 690 visits (28%) resulted in a treatment change. Of those changes, 49% were step-ups, 33% step-downs, and 18% simultaneous step-up and step-down. The remaining 72% of visits had no treatment modification.
Not quite. 28% of visits resulted in a treatment change (190 out of 690 visits). 49% is the proportion of those changes that were step-ups specifically, and 72% is the proportion of visits with no change at all.
Question 4 of 5
Which finding regarding exacerbation and treatment change was considered counter-intuitive?
✓ Correct. Exacerbation was positively associated with step-downs (OR 2.66) and simultaneous step-up/step-down changes (OR 8.93), but was not associated with step-ups — the opposite of what clinical guidelines and prior literature would suggest. This contradicts findings from López-Campos et al. (2016), where exacerbation was the main driver of intensification.
Not quite. The counter-intuitive result was that exacerbation predicted step-downs (OR 2.66) and simultaneous changes (OR 8.93), but had no significant association with step-ups. Prior studies (e.g. López-Campos 2016) had found exacerbation to be the primary driver of treatment intensification.
Question 5 of 5
Why did the authors exclude the mMRC scale from their multivariable regression models?
✓ Correct. Because mMRC score is one of the criteria used to assign patients to GOLD groups A–D, including both in the same model would create multicollinearity — inflating standard errors and making coefficient estimates unreliable. The authors removed mMRC to preserve model integrity.
Not quite. The reason was statistical: mMRC has a close association with GOLD group assignment (since mMRC is one of the inputs used to classify patients), so including both would create multicollinearity in the model. The authors therefore excluded mMRC from the multivariable analysis.
— / 5 Quiz Score
Core Thesis
In Swiss primary care, COPD treatment adjustment is governed by objective spirometric severity rather than patient-reported symptom burden — and the presence of comorbidities acts as a structural barrier to treatment change, even as guidelines demand the opposite.
  • 📊

    Spirometric Severity Drives Step-Up Decisions

    Severe (OR 4.24) and very severe (OR 5.48) airflow limitation were the strongest independent predictors of treatment intensification. GOLD Group C membership was also associated with step-ups (OR 3.34). This suggests that objective lung function data, rather than patient-reported symptoms, is the dominant trigger for action in real-world primary care.

  • 🏳

    CAT Score and Cough Were Not Associated with Treatment Changes

    Despite GOLD guidelines recommending the CAT as a central tool for patient categorisation and treatment decisions, neither CAT score nor the presence of cough and sputum was associated with step-ups in this cohort. This points to systematic under-use of patient-reported outcome measures in practice — a gap with direct implications for GP education and system design.

  • 🔐

    Comorbidities Suppress Treatment Intensification

    With 71% of patients having at least one comorbidity, the finding that comorbidities reduced the likelihood of a step-up (OR 0.42) is clinically significant. Physicians may attribute worsening symptoms to non-pulmonary causes, or may be hesitant to add medications due to polypharmacy risk. This represents a systematic under-treatment risk in the most prevalent patient profile.

  • 🔴

    Exacerbation Predicts De-escalation, Not Intensification

    Contrary to guideline logic and prior studies (e.g. López-Campos 2016), exacerbation was associated with step-downs and complex simultaneous changes, but not with step-ups. This unexpected pattern may reflect the reclassification of treatment regimens post-exacerbation rather than purely reactive intensification — a nuance worth further investigation.

  • Diagnostic Quality Is a Persistent Problem

    32.6% of patients in the broader study population did not meet spirometric criteria for COPD, yet received diagnoses and treatment adjustments. The omission of spirometry — the only validated confirmatory test for COPD — is a recurring finding across Swiss COPD cohort publications (Jochmann 2010, Urwyler 2019). It introduces misclassification at the foundational level of care.

  • 🏫

    GOLD Group C Is Unusually Difficult to Manage

    Group C patients (frequent exacerbators, low symptom burden) were associated with all three types of treatment change — step-ups, step-downs, and simultaneous changes. This instability in management may be part of why the 2022/2023 GOLD revision proposed merging Groups C and D into a new Group E, simplifying the treatment pathway for frequent exacerbators regardless of symptom score.

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