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Hospital Mortality Due to Pulmonary Embolism (PE) and an Evaluation of the Usefulness of Preventative Interventions.

2006· article· en· W2582935536 on OpenAlexaff
Dimitrios Scarvelis, Laurie Davis, Linn Petersson, Tim Ramsay, Josdalyne Anderson, James Lee, Melissa Forgie, Philip S. Wells

Bibliographic record

VenueBlood · 2006
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineAutopsyPulmonary embolismCause of deathPediatricsRetrospective cohort studyMortality rateEmergency medicineIntensive care medicineDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background: Many hospitalized patients with PE die. A large registry study described a mortality rate of 17.4% in patients with PE and suggested 45% of these deaths were due to the PE. Data on death and PE is usually derived retrospectively from hospital databases without chart confirmation and to our knowledge no study has attempted to determine the accuracy of coding for PE deaths. Furthermore, it is unclear how often deaths caused by PE could have been prevented. Methods: A retrospective chart review of PE cases hospitalized at a tertiary care center. Charts over an 8 year period ending in 2004 were reviewed if the hospital database record identified PE as a diagnosis by the ICD-10 coding system. Charts of those who died were independently reviewed by two thrombosis experts with discrepancies resolved by consensus or a third reviewer. Prior to chart review definitions were agreed upon. The coding as PE was considered correct (confirmed PE) if there was supportive imaging, an autopsy, or in the case of death without imaging or autopsy, the clinical scenario was such that PE could have occurred. The degree of certainty that PE contributed to the death was classified as certain (unexplained hypotension, hypoxia, cardiac arrest with no other explanation other than PE and autopsy confirmation or radiographic confirmation), highly probable (same as certain but no autopsy confirmation), probable (criteria for highly probable but another disease could have caused the death). We considered these cases to be death due to PE. Deaths were also classified as possible (other cause suspected based on clinical evidence but 100% certainty not available), or unlikely due to PE (all other cases). In cases defined as death due to PE we determined whether any further intervention could have prevented death. Results: 612 cases were identified of whom 68 had radiographic or autopsy data that ruled out the diagnosis and in 46 the coding was clearly an error. 498 cases of PE were identified, 111 of whom died during hospitalization; the mortality rate in those the hospital coded as PE was 18% vs 22% of those with confirmed PE. Death due to PE was diagnosed in 70 patients (14% of patients with confirmed PE and 11% of all patients coded as PE). In the remaining 41 deaths, PE was possible in 24 and unlikely in 17. Disagreement was uncommon. There was no difference between the likelihood of death from PE in the group diagnosed by imaging and autopsy compared with the group where PE death was confirmed by an appropriate clinical scenario. 38 deaths due to PE may have been prevented with an additional intervention: prophylaxis (55%), earlier diagnosis (45%), inferior vena cava filter (IVCF) (32%), anticoagulation (18%), embolectomy 5%, thrombolytics (3%). The remaining deaths due to PE were not preventable since 15 patients were palliative and did not receive active treatment, 9 died before a diagnosis was made and in 8 another disease prevented treatment. Conclusions: Using hospital database records is a reasonable means to evaluate PE mortality and our death due to PE rates are similar to those in registry publications. Surprisingly imaging and autopsy results do not increase the probability of reaching the conclusion that death is due to PE. Over half of preventable PE deaths may have been prevented by prophylaxis and one third with an IVCF.

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)0.012
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.044
GPT teacher head0.333
Teacher spread0.289 · 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

Citations1
Published2006
Admission routes1
Has abstractyes

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