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Clinical study on influenza viruses infection detected by gold immunchromatographic assay in hospitalized patients

2010· article· en· W3032252863 on OpenAlexaboutno aff
Yue-yue Li, Ping Wang

Bibliographic record

Venue中国综合临床 · 2010
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)MedicineGold standard (test)Internal medicineVirologyVirus

Abstract

fetched live from OpenAlex

Objective To study the common influenza viruses infection of hospitalized patients admitted for acute respiratory tract infections, using gold immunchromatographic assay ( GICA ) to detect influenza viruses. Methods The result of FluA/B antigen detection in 1145 patients with various types of respiratory diseases from two class-A hospitals were analyzed. Influenza virus detection rates of patients in different seasons,with different gender,age,types of respiratory diseases and whether with foundation diseases were analyzed to identify the common rules and characteristics. Results There were significant differences for Flu A/b detection rate between first quarter and the second or third quarter,P <0.05 by x2 test( FluA x2 = 17. 735, P = 0.000;X2 = 14.855,P = 0. 000;FluB x2 =5. 326,P = 0. 021;x2 = 4.349, P = 0.037 ) . The result was repeated in the comparison between Flu A/B detection rate in the fourth quarter and the second or third quarter,P <0. 05 by x2 test (FluA x2 =19. 480,P= 0.000;x2 =16.771,,P=0. 000;FluB X2 = 6. 885.P = 0. 009;x2 =5. 959,P =0.015). These results indicated the detection rates of the first and fourth quarter were higher than the second and third quarter. Elderly patients (≥65 years old) had higher Flu A/ B detection rate compared with patients below 65 years ( FluA x2 =55. 362,P = 0.000;FluB x2 = 8.984,P = 0.003). The detection rate of Flu A/B in patients without foundation diseases or with one,two or three kinds of foundation diseases had significant differences, which showed with an increase in the number of types of the foundation diseases, FluA/B-positive detection rate increased. In patients with various foundation diseases, the FluA antigen detection rate in group of AECOPD patients was 18.2% and 17.1% in pneumonia group, which were higher than in all other diseases. Conclusions Sporadic cases of influenza were found in general wards, incidence rate was higher in the first and the fourth quarter. There is a higher risk of influenza virus infection for elder patients and patients with foundation diseases. Key words: Gold immunochromatographic assay; Hospitalized patients; Influenza viruses; Infection

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)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.010
Threshold uncertainty score0.817

Codex and Gemma teacher scores by category

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 communication0.0000.000
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 head0.056
GPT teacher head0.425
Teacher spread0.369 · 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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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