ArticleJournal of clinical medicine2019
Effort Oxygen Saturation and Effort Heart Rate to Detect Exacerbations of Chronic Obstructive Pulmonary Disease or Congestive Heart Failure.
Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Lack of Evidence Regarding Markers Identifying Acute Heart Failure in Patients with COPD: An AI-Supported Systematic Review.International journal of chronic obstructive pulmonary disease · 2024Pooled it
- An IMU-Based Wearable System for Respiratory Rate Estimation in Static and Dynamic Conditions.Cardiovascular engineering and technology · 2023Article
- Is the 1-Minute Sit-To-Stand Test a Good Tool to Evaluate Exertional Oxygen Desaturation in Chronic Obstructive Pulmonary Disease?Diagnostics (Basel, Switzerland) · 2021Article
- Remote Patient Monitoring for the Detection of COPD Exacerbations.International journal of chronic obstructive pulmonary disease · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundcurrent algorithms for the detection of heart failure (HF) and chronic obstructive pulmonary disease (COPD) exacerbations have poor performance.
methodsthis study was designed as a prospective longitudinal trial. Physiological parameters were evaluated at rest and effort (walking) in patients who were in the exacerbation or stable phases of HF or COPD. Parameters with relevant discriminatory power (sensitivity (Sn) or specificity (Sp) ≥ 80%, and Youden index ≥ 0.2) were integrated into diagnostic algorithms.
resultsthe study included 127 patients (COPD: 56, HF: 54, both: 17). The best algorithm for COPD included: oxygen saturation (SaO₂) decrease ≥ 2% in minutes 1 to 3 of effort, end-of-effort heart rate (HR) increase ≥ 10 beats/min and walking distance decrease ≥ 35 m (presence of one criterion showed Sn: 0.90 (95%, CI(confidence interval): 0.75⁻0.97), Sp: 0.89 (95%, CI: 0.72⁻0.96), and area under the curve (AUC): 0.92 (95%, CI: 0.85⁻0.995)); and for HF: SaO₂ decrease ≥ 2% in the mean-of-effort, HR increase ≥ 10 beats/min in the mean-of-effort, and walking distance decrease ≥ 40 m (presence of one criterion showed Sn: 0.85 (95%, CI: 0.69⁻0.93), Sp: 0.75 (95%, CI: 0.57⁻0.87) and AUC 0.84 (95%, CI: 0.74⁻0.94)).
conclusionseffort situations improve the validity of physiological parameters for detection of HF and COPD exacerbation episodes.
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Registered trials
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