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Record W2574661935 · doi:10.1182/blood.v106.11.315.315

Reversive Loss of Pulmonary Function Induced by Acute Chest Syndrome: A Report from the National Acute Chest Syndrome Study Group (NACSG).

2005· article· en· W2574661935 on OpenAlexaff
Lynne Neumayr, Colleen Morris, Andrew Wen, Ann N. Earles, Shelley Robertson, Miguel R. Abboud, Samir K. Ballas, Iley Browning, Rita Bellevue, C.W. Daeschner, Paula K. Groncy, Heather Hume, Rathi V. Iyer, Lillian McMahon, M. Moncino, Eugene P. Orringer, Paul Swerdlow, Peter Waldron, Robert S. Ware, Elliott Vichinsky

Bibliographic record

VenueBlood · 2005
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineVital capacityAcute chest syndromeCardiologyInternal medicinePulmonary function testingLung volumesLungLung functionSickle cell anemiaDiffusing capacityDisease

Abstract

fetched live from OpenAlex

Abstract Acute Chest Syndrome (ACS) remains the leading cause of death and hospitalization in patients (pts) with sickle cell disease (SCD). There is limited data on the effects of ACS on lung function. From 1993 to 1997, 30 centers participated in the NACSG and prospectively analyzed 671 episodes of ACS in 538 pts. Pulmonary function tests (PFTs) included forced expiratory volume in 1 sec (FEV1), forced vital capacity (FVC), forced expiratory flow during 25% to 75% of FVC (FEF 25–75), peak expiratory flow rate (PEF) and the ratio of FEV1/FVC. Data is reported as percent-predicted of normal values based on age and height. 128 pts (mean 16yrs, 4 to 52 yr range) had PFTs during an ACS episode (within a mean of 2.5 days of diagnosis) and then 12 weeks later. 94% of pts had abnormal lung volumes, defined as either FEV1 or FVC < 80%. Mean lung volumes during ACS and at follow-up are shown below. Table 1: Decreased Lung Volumes During ACS PFT During ACS Follow-up p-value FEV1 52% 79% <.0001 FVC 55% 83% <.0001 FEF 25–75 50% 69% <.0001 PEF 61% 83% <.0001 Pts with abnormal lung volumes (FEV1 or FVC < 80%) and considered to have an obstructive pattern if the FEV1/FVC ratio was < to 85. Obstructive patterns in pts with abnormal lung volumes and the percent of pts who responded to bronchodilators (15% improvement in either FEV1 or FVC) are shown below. Table 2: Patterns of Abnormal Lung Volumes in SCD SCD Patients During ACS Follow-up Abnormal PFTs 94% 45% Obstructive Pattern 48% 46% Respond to bronchodilators 25% 8% In summary, ACS resulted in decreased pulmonary function in 94% of pts. It is striking that 49% pts had their PFTs reduced by half (FEV1 52% and FVC 55%). In pts with abnormal PFTs, 48% had evidence of obstruction and 25% of all pts tested improved with a bronchodilator. This is the first description of reversible abnormalities of pulmonary function occurring during ACS compared to baseline. An obstructive pattern is identified in a higher percentage of pts with SCD than in the local Oakland African American population (asthma prevalance 16%). While some pts PFTs improved with time, 45% remained abnormal at 12-week follow-up. ACS results in acute and chronic worsening of lung function. Future studies of ACS may reveal common pathogenic mechanisms with asthma, and lead to improved therapeutic interventions.

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)0.002
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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.011
GPT teacher head0.241
Teacher spread0.230 · 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".

Quick stats

Citations2
Published2005
Admission routes1
Has abstractyes

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