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Record W3015453450 · doi:10.14740/jocmr4108

In-Hospital Cardiopulmonary Resuscitation of Patients With Human Immunodeficiency Virus Infection: A Population-Based Cohort Study of Epidemiology and Outcomes

2020· article· en· W3015453450 on OpenAlexvenueno aff
Lavi Oud

Bibliographic record

VenueJournal of Clinical Medicine Research · 2020
Typearticle
Languageen
FieldMedicine
TopicPneumocystis jirovecii pneumonia detection and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCardiopulmonary resuscitationEpidemiologyLogistic regressionPopulationEmergency medicineCohortHuman immunodeficiency virus (HIV)Hospital dischargeInternal medicineRetrospective cohort studyResuscitationPediatricsImmunology

Abstract

fetched live from OpenAlex

BACKGROUND: Marked improvements were realized in both short-term and long-term outcomes of human immunodeficiency virus (HIV)-infected patients following the introduction of combination antiretroviral therapy. However, the contemporary population-level patterns of in-hospital cardiopulmonary resuscitation (CPR) and the outcomes of HIV-infected patients were not systematically examined. METHODS: We used the Texas Inpatient Public Use Data File to identify hospitalizations aged ≥ 18 years with and without HIV during 2009 - 2014, and those in each group who have undergone in-hospital CPR. Short-term survival (defined as absence of hospital mortality or discharge to hospice) following in-hospital CPR was examined. Multivariate logistic regression modeling was used to assess the prognostic impact of HIV infection following in-hospital CPR and predictors of short-term survival among HIV hospitalizations. RESULTS: In-hospital CPR was reported in 437 and 54,135 hospitalizations with and without HIV, respectively. The rates of in-hospital CPR (per 1,000 hospitalizations) were 4.4 and 4.1 among hospitalizations with and without HIV, respectively (P = 0.1659). The corresponding rates of in-hospital CPR among decedents were 11% and 11.8%, respectively (P = 0.1531). Crude short-term survival following in-hospital CPR among hospitalizations with and without HIV was 19% and 26.8%, respectively (P = 0.0003). The corresponding adjusted short-term survival between 2009 and 2014 rose from 14.2% to 27% (P = 0.0009 for trend) and from 25.5% to 28% (P < 0.0001 for trend). HIV infection was associated with lower odds of short-term survival following in-hospital CPR (adjusted odds ratio (aOR): 0.50, 95% confidence interval (95% CI): 0.39 - 0.65). Select comorbid conditions (congestive heart failure, aOR: 2.03, 95% CI: 1.20 - 2.46; cerebrovascular disease, aOR: 2.08, 95% CI: 1.15 - 3.75; and diabetes, aOR: 1.53, 95% CI 1.31 - 4.71) were the only independent predictors of short-term survival following in-hospital CPR among HIV hospitalizations. CONCLUSIONS: The rates of in-hospital CPR were similar among hospitalizations with and without HIV infection, with similar level of selectivity among decedents. Although HIV infection was associated with lower short-term survival following in-hospital CPR for the whole cohort, a dramatic improvement was observed during the study period among affected patients, with short-term survival rates becoming near-similar to those without HIV. Further studies are needed to identify modifiable factors to further improve the outcomes following in-hospital CPR among patients with HIV 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 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)0.002
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 score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
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 head0.115
GPT teacher head0.483
Teacher spread0.368 · 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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Citations2
Published2020
Admission routes1
Has abstractyes

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