Evidence map›Paper›PMID 39237943›Full record

ArticleJournal of cardiothoracic surgery2024

Analysis of influencing factors and construction of risk prediction model for postoperative thrombocytopenia in critically ill patients with heart disease.

Changjun Song, Yicai Wu, Yuanyuan Liu, Jun Zhang, Jingliang Peng, Yuming Zhou, Lulu Yi

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Article in Journal of cardiothoracic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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7 authors.

Changjun Song *Department of Emergency, Ganzhou People's Hospital, Ganzhou City, Jiangxi Province, 341000, China.
Yicai Wu *Department of Nephrology, Ganzhou People's Hospital, Ganzhou City, Jiangxi Province, 341000, China.
Yuanyuan LiuDepartment of Obstetrics, Ganzhou People's Hospital, Ganzhou City, Jiangxi Province, 341000, China.
Jun ZhangDepartment of Emergency, Ganzhou People's Hospital, Ganzhou City, Jiangxi Province, 341000, China.
Jingliang PengDepartment of Emergency, Ganzhou People's Hospital, Ganzhou City, Jiangxi Province, 341000, China.
Yuming ZhouDepartment of Emergency, Ganzhou People's Hospital, Ganzhou City, Jiangxi Province, 341000, China.
Lulu YiDepartment of Rheumatology, Ganzhou People's Hospital, No. 17 Hongqi Avenue, Zhanggong District, Ganzhou City, Jiangxi Province, 341000, China. viansong123@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the influencing factors of postoperative thrombocytopenia in critically ill patients with heart disease and construct a nomogram prediction model.

methodsFrom October 2022 to October 2023, 319 critically ill patients with heart disease who visited our hospital were collected and separated into postoperative thrombocytopenia group (n = 142) and no postoperative thrombocytopenia group (n = 177) based on their postoperative thrombocytopenia, Logistic regression analysis was applied to screen risk factors for postoperative thrombocytopenia in critically ill patients with heart disease; R software was applied to construct a nomogram for predicting postoperative thrombocytopenia in critically ill patients with heart disease, and ROC curves, calibration curves, and Hosmer-Lemeshow goodness of fit tests were applied to evaluate nomogram.

resultsA total of 142 out of 319 critically ill patients had postoperative thrombocytopenia, accounting for 44.51%. Logistic regression analysis showed that gender (95% CI 1.607-4.402, P = 0.000), age ≥ 60 years (95% CI 1.380-3.697, P = 0.001), preoperative antiplatelet therapy (95% CI 1.254-3.420, P = 0.004), and extracorporeal circulation time > 120 min (95% CI 1.681-4.652, P = 0.000) were independent risk factors for postoperative thrombocytopenia in critically ill patients with heart disease. The area under the ROC curve was 0.719 (95% CI: 0.663-0.774). The slope of the calibration curve was close to 1, and the Hosmer-Lemeshow goodness of fit test was χ

conclusionPostoperative thrombocytopenia in critically ill patients with heart disease is influenced by gender, age ≥ 60 years, preoperative antiplatelet therapy, and extracorporeal circulation time > 120 min. A nomogram established based on above multiple independent risk factors provides a method for clinical prediction of the risk of postoperative thrombocytopenia in critically ill patients with heart disease.

Indexed as

Critical IllnessHeart DiseasesNomogramsPostoperative ComplicationsThrombocytopeniaAgedCardiac Surgical ProceduresFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsROC CurveCritical illnessHeartInfluencing factorsRisk prediction modelThrombocytopenia

Identifiers

PMID39237943
PMCPMC11375849

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