Dataset Information

Factors Associated with Low Admission Platelet Count in Adults with Acute Aortic Dissection.

ABSTRACT: PURPOSE:Platelets are crucial components of the coagulation processes, and low admission platelet count (PLC) is associated with adverse clinical outcomes in patients with Stanford type A acute aortic dissection (AAD). METHODS:A total of 130 consecutive patients undergoing Stanford type A AAD surgery in Beijing Anzhen Hospital were enrolled between January 2013 and July 2014. Preoperative clinical and laboratory data from patients were collected. Multiple regression analyses were used to determine the independent factors of low admission platelets. RESULTS:Adjusted multiple regression analysis showed that age (?: -1.069, 95% confidence interval [CI]: -2.109, -0.029), sex (?: -29.973, 95% CI: -56.512, -3.433), tissue factor pathway inhibitor (TFPI; ?: 0.197, 95% CI: 0.039, 0.354), fibrinogen degradation product (FDP) (?: -0.476, 95% CI: -0.879, -0.074), and attack time (?: 11.125, 95% CI: 7.963, 14.287) were significantly associated with admission PLC. Admission PLC increased with attack time up to the 3 days (?: 16.2, 95% CI: 12.1, 20.2). CONCLUSIONS:We found that increasing age, male patients, patients with lower serum levels of TFPI and higher serum levels of FDP, and patients with a shorter attack time were significantly associated with lower PLC at admission. Moreover, the turning point of attack time is 3 days after the onset of dissection.

SUBMITTER: Li S

PROVIDER: S-EPMC6587131 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Factors Associated with Low Admission Platelet Count in Adults with Acute Aortic Dissection.

Li Shuwen S Lu Jiakai J Cheng Weiping W Zhu Junming J Jin Mu M

Annals of thoracic and cardiovascular surgery : official journal of the Association of Thoracic and Cardiovascular Surgeons of Asia 20181218 3

<h4>Purpose</h4>Platelets are crucial components of the coagulation processes, and low admission platelet count (PLC) is associated with adverse clinical outcomes in patients with Stanford type A acute aortic dissection (AAD).<h4>Methods</h4>A total of 130 consecutive patients undergoing Stanford type A AAD surgery in Beijing Anzhen Hospital were enrolled between January 2013 and July 2014. Preoperative clinical and laboratory data from patients were collected. Multiple regression analyses were ...[more]

PMID: 30568075

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Project description:ObjectiveOur study aimed to systematically review the methodological characteristics of studies that identified prognostic factors or developed or validated models for predicting mortalities among patients with acute aortic dissection (AAD), which would inform future work.Design/settingA methodological review of published studies.MethodsWe searched PubMed and EMBASE from inception to June 2020 for studies about prognostic factors or prediction models on mortality among patients with AAD. Two reviewers independently collected the information about methodological characteristics. We also documented the information about the performance of the prognostic factors or prediction models.ResultsThirty-two studies were included, of which 18 evaluated the performance of prognostic factors, and 14 developed or validated prediction models. Of the 32 studies, 23 (72%) were single-centre studies, 22 (69%) used data from electronic medical records, 19 (59%) chose retrospective cohort study design, 26 (81%) did not report missing predictor data and 5 (16%) that reported missing predictor data used complete-case analysis. Among the 14 prediction model studies, only 3 (21%) had the event per variable over 20, and only 5 (36%) reported both discrimination and calibration statistics. Among model development studies, 3 (27%) did not report statistical methods, 3 (27%) exclusively used statistical significance threshold for selecting predictors and 7 (64%) did not report the methods for handling continuous predictors. Most prediction models were considered at high risk of bias. The performance of prognostic factors showed varying discrimination (AUC 0.58 to 0.95), and the performance of prediction models also varied substantially (AUC 0.49 to 0.91). Only six studies reported calibration statistic.ConclusionsThe methods used for prognostic studies on mortality among patients with AAD-including prediction models or prognostic factor studies-were suboptimal, and the model performance highly varied. Substantial efforts are warranted to improve the use of the methods in this population.

Dataset Information

Factors Associated with Low Admission Platelet Count in Adults with Acute Aortic Dissection.

Publications

Factors Associated with Low Admission Platelet Count in Adults with Acute Aortic Dissection.

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