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Evaluating the Prognostic Value of ACQ-5 Scores in Predicting Asthma ExacerbationsUsing Blood Markers to Predict Asthma Attacks and Guide Treatment Success

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Key Takeaway
While ACQ-5 scores show modest prognostic value for asthma attacks, Type 2 biomarkers more reliably identify high-risk patients.

This individual participant data meta-analysis involved a substantial cohort of 7,161 patients with asthma of varying severity. The primary objective was to determine the association between baseline Asthma Control Questionnaire (ACQ-5) scores and the risk of future asthma attacks. The study also investigated the impact of mepolizumab, an interleukin-5 inhibitor, on these outcomes, specifically looking at how baseline scores influenced the drug's efficacy. Furthermore, the analysis explored correlations between ACQ-5 scores and various biomarkers, including sputum cell counts, mediator data, blood eosinophil counts, and fractional exhaled nitric oxide (FeNO).

The primary findings indicated that baseline ACQ-5 scores possess a modest prognostic value for predicting future asthma attacks. Specifically, every 0.5-point increase in the baseline score was associated with a modest increase in the risk of an attack (aRR 1.09; 95% CI 1.06-1.12). While the correlation exists, the magnitude of the effect suggests that while ACQ-5 is a useful clinical tool, it may not be the most sensitive indicator for individual risk stratification compared to other physiological markers.

Regarding the intervention of intravenous mepolizumab, the data revealed that baseline ACQ-5 scores did not significantly alter the relative or absolute risk reduction provided by the treatment. This suggests that the therapeutic efficacy of the IL-5 inhibitor is independent of the patient's baseline ACQ-5 score. This finding is clinically significant as it implies that the drug's performance remains consistent across different levels of baseline symptom severity as measured by this specific questionnaire.

In contrast, the analysis of Type 2 biomarkers provided much clearer evidence for identifying high-risk patients. Patients presenting with high blood eosinophil counts and high FeNO levels experienced the most significant reduction in attack risk when treated with mepolizumab (aRR 0.38; 95% CI 0.25-0.57). This indicates that while the ACQ-5 score provides some prognostic information, biological markers are superior for identifying patients who will derive the greatest clinical benefit from targeted biologic therapy.

Furthermore, the study examined the relationship between ACQ-5 scores and post-corticosteroid lung function changes. The results showed no significant association between these two variables. Additionally, the ACQ-5 did not show a consistent cross-sectional association with other clinical, physiological, or inflammatory asthma features, such as specific mediator data or sputum cell counts. This reinforces the role of the ACQ-5 as a subjective measure of control rather than a direct proxy for underlying pathophysiology.

In conclusion, while the ACQ-5 score provides a statistically significant but modest correlation with the likelihood of future exacerbations, it lacks the precision of biomarker-driven assessments. For clinicians, this means that while patient-reported outcomes are valuable for monitoring daily management, objective biomarkers like eosinophil counts and FeNO are more reliable for identifying candidates for advanced biologic therapies. The study highlights a clear distinction between clinical symptom scoring and the physiological indicators of asthma severity and treatment responsiveness.

How this fits prior evidence

How this fits prior evidence This finding regarding the use of ACQ-5 for risk assessment does not directly relate to the previously reported findings regarding MMP-7 as a marker for fibrosing interstitial lung diseases, nor to the risks of intravenous pantoprazole in asthma patients. It also does not address the findings regarding family-centered nursing, cognitive biases in diagnosis, or the genetic architectures of asthma phenotypes. This study provides a specific look at the prognostic value of a clinical questionnaire versus biological markers in asthma management.

Managing asthma can be difficult because not every patient reacts the same way to treatment. Doctors often use a survey called the ACQ-5 to measure how well a patient's asthma is controlled. This survey looks at daily symptoms and how much the illness affects a person's life. While this survey is helpful for tracking daily progress, a large study of over 7,000 people looked at whether these scores could predict future severe asthma attacks.

The study found that while a higher score on the survey did mean a slightly higher risk of an attack, the link was not very strong. This means the survey is okay for tracking symptoms, but it is not the best tool for predicting when a dangerous flare-up might happen. Because the link was modest, doctors cannot rely solely on these survey scores to decide which patients need the most aggressive medical interventions.

Instead, the researchers looked at biological markers in the blood and lungs. They specifically looked at eosinophils (a type of white blood cell) and a gas called nitric oxide in the breath. These markers are much better at identifying which patients are at high risk for severe attacks. For patients with high levels of these markers, a specific treatment called mepolizumab showed a significant reduction in the number of attacks.

For example, patients with high eosinophil counts and high nitric oxide levels saw a much larger drop in their risk of having an attack compared to others. This suggests that looking at the body's internal signals provides a clearer picture of a patient's health than a questionnaire alone. These markers help doctors pinpoint exactly who will benefit most from specific types of medicine.

In conclusion, while patient surveys are useful for tracking daily comfort, they do not provide enough information to predict severe medical emergencies. Doctors should use blood tests and lung gas levels to identify high-risk patients. These biological markers are more reliable tools for choosing the right treatment plan to keep patients safe and healthy.

What this means for you:
Blood markers like eosinophils are more reliable than surveys for predicting severe asthma attacks and choosing treatment.

Study Details

Study typeMeta analysis
Sample sizen = 6,513
EvidenceLevel 1
PublishedOct 2026
View Original Abstract ↓
BACKGROUND: Asthma symptoms often guide disease assessment and management, but their prognostic and predictive value is unclear. We evaluated the extent to which symptom burden measured by the 5-item Asthma Control Questionnaire (ACQ-5) predicts future severe asthma attacks and response to anti-inflammatory therapy. METHODS: We conducted an individual participant data meta-analysis of selected randomised controlled trials and translational observational cohort studies of asthma of varying severity. Primary analyses used the ORACLE2 patient-level meta-analysis (n=6513) of control-group participants from 22 randomised controlled trials. Additional datasets from studies assessing type 2 targeting anti-inflammatory therapies were included on the basis of availability of data, to provide insight into the association between ACQ-5 and sputum cell counts or mediator data. Additional datasets were the DREAM intravenous mepolizumab group (n=461); a cross-sectional severe asthma cohort (SA-OT, n=74); and two acute asthma cohorts (PRISMA, biologic-naive, n=53; BOOST, anti-interleukin-5-treated, n=60). Associations between baseline ACQ-5 scores and clinical, physiological, and inflammatory profiles, asthma attack risk, and anti-inflammatory treatment responses were examined. FINDINGS: Across five datasets encompassing 7161 distinct participants, asthma severity, lung function, inflammatory profiles, comorbidities, and ACQ-5 results varied widely. The proportion of patients with high symptom burden (ACQ-5 score >1·5) ranged from 39% to 100%. Baseline ACQ-5 showed no consistent cross-sectional association with other clinical, physiological, or inflammatory asthma features. Each 0·5-point increase in baseline ACQ-5 score was associated with a modest increase in future asthma attack risk (adjusted rate ratio [aRR] 1·09 [95% CI 1·06-1·12]; Δ R=0·02 vs multivariable prediction model without ACQ-5). Baseline ACQ-5 score did not alter relative and absolute attack risk reduction from intravenous mepolizumab in DREAM. By contrast, patients with high blood eosinophil counts and high fractional exhaled nitric oxide (FeNO) had the highest relative and absolute risk reduction (2·81 vs 1·17 attacks; aRR 0·38 [95% CI 0·25-0·57]). In the PRISMA and BOOST datasets, ACQ-5 was not associated with post-corticosteroid lung function change. Across studies, relative and absolute treatment effects showed consistent associations with blood eosinophil counts and FeNO. INTERPRETATION: In a large, individual patient-level meta-analysis of randomised controlled trials and translational prospective observational cohort studies, we observed little alignment of symptom burden with other clinical, physiological, or biological features of asthma and modest prognostic value for severe attacks. Conversely, type 2 biomarkers more reliably identified patients at high risk and those likely to respond to treatment. Symptoms might require contextual interpretation to guide anti-inflammatory escalation in asthma. FUNDING: National Institute for Health and Care Research, Association Pulmonaire du Québec, Fonds de Recherche du Québec-Santé, and The Academy of Medical Sciences.
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