Evidence map›Paper›PMID 40049214›Full record

ArticleTuberculosis and respiratory diseases2025

Predictors of Suboptimal Peak Inspiratory Flow in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease in Clinical Practice.

Natalia V Trushenko, Baina B Lavginova, Svetlana Yu Chikina, Natalia E Obukhova, Iuliia A Levina, Fedor D Tkachenko, Galina V Nekludova, Zamira M Merzhoeva, Sergey N Avdeev

Abstract read
In one paragraph

Article in Tuberculosis and respiratory diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Natalia V TrushenkoPulmonology Department, Sechenov First Moscow State Medical University (Sechenov University), Healthcare Ministry of Russia, Moscow, Russia.
Baina B LavginovaPulmonology Department, Sechenov First Moscow State Medical University (Sechenov University), Healthcare Ministry of Russia, Moscow, Russia.
Svetlana Yu ChikinaPulmonology Department, Sechenov First Moscow State Medical University (Sechenov University), Healthcare Ministry of Russia, Moscow, Russia.
Natalia E ObukhovaDepartment of Otorhinolaryngology, Central State Medical Academy, Moscow, Russia.
Iuliia A LevinaPulmonology Department, Sechenov First Moscow State Medical University (Sechenov University), Healthcare Ministry of Russia, Moscow, Russia.
Fedor D TkachenkoPulmonology Department, Sechenov First Moscow State Medical University (Sechenov University), Healthcare Ministry of Russia, Moscow, Russia.
Galina V NekludovaPulmonology Department, Sechenov First Moscow State Medical University (Sechenov University), Healthcare Ministry of Russia, Moscow, Russia.
Zamira M MerzhoevaPulmonology Department, Sechenov First Moscow State Medical University (Sechenov University), Healthcare Ministry of Russia, Moscow, Russia.
Sergey N AvdeevPulmonology Department, Sechenov First Moscow State Medical University (Sechenov University), Healthcare Ministry of Russia, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncorrect inhalation technique is a primary cause of therapeutic failure in chronic obstructive pulmonary disease (COPD), leading to increased exacerbation frequency. Identifying predictors of suboptimal peak inspiratory flow (sPIF) can significantly enhance treatment efficacy in COPD patients. The objective of this study was to identify the prevalence and predictors of sPIF in hospitalized patients with acute exacerbation of COPD in a clinical setting.

methodsThis study enrolled 72 patients hospitalized for acute COPD exacerbation. It analyzed demographic, clinical, and lung function parameters. Peak inspiratory flow (PIF) was measured using an In-Check DIAL G16 (Alliance Tech Medical) across different resistance levels of the patients' inhalation devices, both before and after instruction in inhalation technique, and at various resistance settings (R2 and R5) upon admission and discharge.

resultsInitially, 52.7% of patients exhibited sPIF, which decreased to 19.4% following inhalation technique education (p<0.0001). Receiver operating curve analysis identified age >70 years, forced vital capacity <73% predicted (pred.), forced expiratory volume in 1 second (FEV1) <35% pred., residual volume (RV) >194% pred., RV/total lung capacity >70%, and diffusing capacity for carbon monoxide <36% pred. as independent predictors of sPIF. The most significant predictors were age (odds ratio [OR], 0.89) and FEV1 (OR 0.59).

conclusionSelecting a suitable dry powder inhaler for maintenance therapy in patients with acute exacerbation of COPD requires consideration of the patient's ability to achieve optimal PIF, with special attention to age and severity of functional impairment.

Indexed as

Chronic Obstructive Pulmonary DiseaseDry Powder InhalerExacerbationInhalation TechniquePeak Inspiratory Flow

Identifiers

PMID40049214
PMCPMC12235293

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.