دورية أكاديمية
أعرض في EDS

Predictive nomogram for 28-day mortality risk in mitral valve disorder patients in the intensive care unit: A comprehensive assessment from the MIMIC-III database.

التفاصيل البيبلوغرافية
العنوان: Predictive nomogram for 28-day mortality risk in mitral valve disorder patients in the intensive care unit: A comprehensive assessment from the MIMIC-III database.
المؤلفون: Qiu Y; Department of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China., Li M; College of Life Science and Technology, Jinan University, Guangzhou 510630, China., Song X; Department of Recovery, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China., Li Z; Department of Pharmacy, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China., Ma A; Department of Orthopedics, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China., Meng Z; Department of Orthopedics, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China., Li Y; Department of Orthopedics, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China. Electronic address: 973517560@qq.com., Tan M; Department of Orthopedics, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China. Electronic address: tanminghui@jnu.edu.cn.
المصدر: International journal of cardiology [Int J Cardiol] 2024 Jul 15; Vol. 407, pp. 132105. Date of Electronic Publication: 2024 Apr 25.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 8200291 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1874-1754 (Electronic) Linking ISSN: 01675273 NLM ISO Abbreviation: Int J Cardiol Subsets: MEDLINE
أسماء مطبوعة: Publication: Amsterdam : Elsevier
Original Publication: Amsterdam : Elsevier/North-Holland Biomedical Press, c1981-
مواضيع طبية MeSH: Nomograms* , Databases, Factual*/trends , Intensive Care Units*, Humans ; Male ; Female ; Middle Aged ; Aged ; Risk Factors ; Risk Assessment/methods ; Predictive Value of Tests ; Mortality/trends ; Heart Valve Diseases/mortality ; Heart Valve Diseases/diagnosis ; Retrospective Studies ; Mitral Valve ; Mitral Valve Insufficiency/mortality ; Mitral Valve Insufficiency/diagnosis
مستخلص: Background: Mitral valve disorder (MVD) stands as the most prevalent valvular heart disease. Presently, a comprehensive clinical index to predict mortality in MVD remains elusive. The aim of our study is to construct and assess a nomogram for predicting the 28-day mortality risk of MVD patients.
Methods: Patients diagnosed with MVD were identified via ICD-9 code from the MIMIC-III database. Independent risk factors were identified utilizing the LASSO method and multivariate logistic regression to construct a nomogram model aimed at predicting the 28-day mortality risk. The nomogram's performance was assessed through various metrics including the area under the curve (AUC), calibration curves, Hosmer-Lemeshow test, integrated discriminant improvement (IDI), net reclassification improvement (NRI), and decision curve analysis (DCA).
Results: The study encompassed a total of 2771 patients diagnosed with MVD. Logistic regression analysis identified several independent risk factors: age, anion gap, creatinine, glucose, blood urea nitrogen level (BUN), urine output, systolic blood pressure (SBP), respiratory rate, saturation of peripheral oxygen (SpO 2 ), Glasgow Coma Scale score (GCS), and metastatic cancer. These factors were found to independently influence the 28-day mortality risk among patients with MVD. The calibration curve demonstrated adequate calibration of the nomogram. Furthermore, the nomogram exhibited favorable discrimination in both the training and validation cohorts. The calculations of IDI, NRI, and DCA analyses demonstrate that the nomogram model provides a greater net benefit compared to the Simplified Acute Physiology Score II (SAPSII), Acute Physiology Score III (APSIII), and Sequential Organ Failure Assessment (SOFA) scoring systems.
Conclusion: This study successfully identified independent risk factors for 28-day mortality in patients with MVD. Additionally, a nomogram model was developed to predict mortality, offering potential assistance in enhancing the prognosis for MVD patients. It's helpful in persuading patients to receive early interventional catheterization treatment, for example, transcatheter mitral valve replacement (TMVR), transcatheter mitral valve implantation (TMVI).
(Copyright © 2024 Elsevier B.V. All rights reserved.)
فهرسة مساهمة: Keywords: 28-day mortality; MIMIC III database; Mitral valve disorder; Nomogram; Prognosis
تواريخ الأحداث: Date Created: 20240427 Date Completed: 20240516 Latest Revision: 20240516
رمز التحديث: 20240517
DOI: 10.1016/j.ijcard.2024.132105
PMID: 38677334
قاعدة البيانات: MEDLINE
الوصف
تدمد:1874-1754
DOI:10.1016/j.ijcard.2024.132105