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Incremental Mortality Associated with Nontuberculous Mycobacterial Lung Disease Among US Medicare Beneficiaries with Chronic Obstructive Pulmonary Disease

2021· article· en· W4235888922 on OpenAlexaff
P. Wang, T.K. Marras, E. Alemao, M. Hassan, Anjan Chatterjee

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsToronto Western HospitalUniversity of Toronto
Fundersnot available
KeywordsCOPDMedicineInternal medicineRetrospective cohort studyCohortMortality rateBronchiectasisObstructive lung diseaseComorbidityIntensive care medicineLung

Abstract

fetched live from OpenAlex

RATIONALE Nontuberculous mycobacterial lung disease (NTMLD) is an uncommon mycobacterial infection whose prevalence has increased over the last decade. Many patients with NTMLD have comorbid respiratory diseases such as COPD. Treatment of NTMLD in patients with COPD may receive inadequate attention as COPD and NTMLD share common symptoms such as cough and dyspnea and clinicians often prioritize on symptoms management. There is a lack of data quantifying the incremental mortality burden that NTMLD adds to existing COPD. We assessed this incremental burden of NTMLD in patients with COPD by comparing their mortality to that of matched COPD patients without NTMLD. METHODS A retrospective cohort study was conducted using the US Medicare claims database (2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017). COPD patients with NTMLD (cases) were matched 1:3 to COPD patients without NTMLD (controls) by age and sex; the index date (date of the first NTMLD diagnosis) of each case was assigned to the matched controls. Mortality records were identified over the post-index follow-up until data cutoff or death. Incremental mortality of NTMLD was assessed with the annual mortality rate and time to death using univariate and multivariate analyses adjusting for demographics, comorbidities, and severity of COPD (count of hospitalization and ER visits with COPD as primary diagnosis, supplemental oxygen therapy and duration of COPD) during 12-month pre-index period. RESULTS A total of 4,926 cases were matched to 14,778 controls. The mean (SD) follow-up in years post-index was 2.62 (1.71) and 3.10 (1.78) for cases and controls respectively. In univariate analyses, higher proportion of COPD patients with NTMLD had died during follow-up compared to controls (41.5% vs 26.7%; P<0.0001); the annual mortality rates were higher among patients with NTMLD (158.5 vs 86.0 deaths per 1000 person-years); time to death (Figure vs 3.40 (95% CI, 3.27-3.53) years when 25% of patients had died. This incremental mortality risk was also reflected in subsequent multivariate analyses after adjusting for confounding factors: the mortality rate ratio associated with NTMLD was 1.44 (95% CI, 1.35-1.53; P<0.0001); the hazard ratio associated with NTMLD was 1.45 (95% CI, 1.36-1.54; P<0.0001). CONCLUSIONS COPD patients with NTMLD have a higher mortality compared to COPD patients without NTMLD. These findings suggest the substantial incremental deaths associated with NTMLD adds to existing COPD and highlight the acute need for appropriate management of NTMLD in this patient population.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.256
Teacher spread0.246 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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