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Record W4399784872 · doi:10.12998/wjcc.v12.i18.3482

Effects of acetylcysteine on micro-inflammation and pulmonary ventilation in chronic obstructive pulmonary disease exacerbation

2024· article· en· W4399784872 on OpenAlexfundno aff
Liyuan Huang, Bin Huang, Zheng Lv, Xiaodan Lü

Bibliographic record

VenueWorld Journal of Clinical Cases · 2024
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsnot available
FundersNational Institutes of HealthAgenzia Italiana del Farmaco, Ministero della SaluteCanadian Institutes of Health ResearchSunovionAstraZenecaCSL BehringChiesi FarmaceuticiSanofiAmerican Thoracic SocietyPfizerCOPD FoundationGlaxoSmithKlineRegeneron PharmaceuticalsTeva Pharmaceutical Industries
KeywordsMedicineAcetylcysteinePhlegmPulmonary function testingSputumInternal medicineExacerbationVital capacityBlood stasisGastroenterologyCOPDInhalationLungAnesthesiaPathologyDiffusing capacityTraditional Chinese medicineLung function

Abstract

fetched live from OpenAlex

BACKGROUND Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is a serious complication of chronic obstructive pulmonary disease, often characterized by increased morbidity and mortality. In traditional Chinese medicine, AECOPD is linked to phlegm-heat and blood-stasis, presenting symptoms like thick sputum, fever, and chest pain. It has been shown that acetylcysteine inhalation in conjunction with conventional therapy significantly reduced inflammatory markers and improved lung function parameters in patients with AECOPD, suggesting that acetylcysteine may be an important adjunctive therapy for patients with phlegm-heat-blood stasis type AECOPD. AIM To investigate the effect of acetylcysteine on microinflammation and lung ventilation in patients with phlegm-heat and blood-stasis-type AECOPD. METHODS One hundred patients with phlegm-heat and blood-stasis-type AECOPD were randomly assigned to two groups. The treatment group received acetylcysteine inhalation (10% solution, 5 mL, twice daily) along with conventional therapy, whereas the control group received only conventional therapy. The treatment duration was 14 d. Inflammatory markers (C-reactive protein, interleukin-6, and tumor necrosis factor-alpha) in the serum and sputum as well as lung function parameters (forced expiratory volume in one second, forced vital capacity, and peak expiratory flow) were assessed pre- and post-treatment. Acetylcysteine inhalation led to significant reductions in inflammatory markers and improvements in lung function parameters compared to those in the control group (P < 0.05). This suggests that acetylcysteine could serve as an effective adjunct therapy for patients with phlegm-heat and blood-stasis-type AECOPD. RESULTS Acetylcysteine inhalation significantly reduced inflammatory markers in the serum and sputum and improved lung ventilation function parameters in patients with phlegm-heat and blood-stasis type AECOPD compared with the control group. These differences were statistically significant (P < 0.05). The study concluded that acetylcysteine inhalation had a positive effect on microinflammation and lung ventilation function in patients with this type of AECOPD, suggesting its potential as an adjuvant therapy for such cases. CONCLUSION Acetylcysteine inhalation demonstrated significant improvements in reducing inflammatory markers in the serum and sputum, as well as enhancing lung ventilation function parameters in patients with phlegm-heat and blood-stasis type AECOPD. These findings suggest that acetylcysteine could serve as a valuable adjuvant therapy for individuals with this specific type of AECOPD, offering benefits for managing microinflammation and optimizing lung function.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.760
Threshold uncertainty score0.719

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.361
Teacher spread0.331 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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