Evidence map›Paper›PMID 23983596›Full record

ArticleInternational journal of medical sciences2013

Clustering patterns of comorbidities associated with in-hospital death in hospitalizations of US adults with venous thromboembolism.

James Tsai, Althea M Grant, J Michael Soucie, Amy Helwig, Hussain R Yusuf, Sheree L Boulet, Nimia L Reyes, Hani K Atrash

Open access · goldAbstract read
In one paragraph

Article in International journal of medical sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Observational
  5. Review
  6. Article
  7. Multimorbidity and Venous Thromboembolism: Epidemiological Evidence, Pathophysiology, Prophylactic and Therapeutic Anticoagulation Efficacy, Safety, and Difficulties. A Review.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Review
  8. Charlson and Elixhauser Comorbidity Indices for Prediction of Mortality and Hospital Readmission in Patients With Acute Pulmonary Embolism.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

James TsaiDivision of Blood Disorders, National Center on Birth Defects and Developmental Disabilities Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA. jxt9@cdc.gov
Althea M Grant
J Michael Soucie
Amy Helwig
Hussain R Yusuf
Sheree L Boulet
Nimia L Reyes
Hani K Atrash
Centers for Disease Control and Prevention · USNational Center on Birth Defects and Developmental Disabilities · USAgency for Healthcare Research and Quality · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVenous thromboembolism (VTE) is a significant source of mortality, morbidity, disability, and impaired health-related quality of life in the world.

objectiveWe aimed to evaluate the clustering patterns and associations of 29 comorbidities with in-hospital death among adult hospitalizations with a diagnosis of VTE in the United States by analyzing data from the 2009 Nationwide Inpatient Sample.

methodsThis cross-sectional study included 153,124 adult hospitalizations with a diagnosis of VTE. Adjusted rate ratios and 95% confidence intervals (CI) for in-hospital death were generated by using multivariable log-linear regression models to measure independent associations between comorbidities and in-hospital death.

resultsWe estimated that 44,200 in-hospital deaths occurred in 2009 among 773,273 US adult hospitalizations with a diagnosis of VTE. Subgroups of hospitalizations with comorbidities of "congestive heart failure," "chronic pulmonary disease," "coagulopathy," "liver disease," "lymphoma," "fluid and electrolyte disorders," "metastatic cancer," "peripheral vascular disorders," "pulmonary circulation disorders," "renal failure," "solid tumor without metastasis," or "weight loss" were positively and independently associated with 1.07 (95% CI: 1.02-1.12 ) to 2.06 (95% CI: 1.97-2.16) times increased likelihoods of in-hospital death, when compared to those without the corresponding comorbidities. The clustering patterns of these comorbidities by 4 disease categories (i.e., "cancer," "cardiovascular/respiratory/blood," "gastrointestinal/urologic," and "nutritional/bodyweight") were associated with 2.74 to 10.28 times increased likelihoods of in-hospital death, as compared to hospitalizations without any of these comorbidities. The overall increase in the cumulative number of comorbidities corresponded to significantly elevated risks (P-trend<0.01) for in-hospital death among hospitalizations with a diagnosis of VTE.

conclusionThe presence of multiple comorbidities is ubiquitous among hospitalizations of adults with VTE and among in-hospital deaths with VTE in the United States. The findings of our study further suggest that, among hospitalizations of adults with VTE, the presence of certain comorbidities or clustering of these comorbidities significantly elevates the risk of in-hospital death.

Indexed as

AdultAgedAged, 80 and overAge DistributionComorbidityCross-Sectional StudiesFemaleHospitalizationHumansMaleMiddle AgedUnited StatesVenous ThromboembolismYoung AdultClustering patternComorbidityDeathElixhauser comorbidity indexHospitalizationMortality.Venous thromboembolism

Identifiers

PMID23983596
PMCPMC3753416
OpenAlexW2084291086

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.