Risk Management and Healthcare Policy (Jan 2024)

Development and Validation of a Dynamic Nomogram for Predicting 3-Month Mortality in Acute Ischemic Stroke Patients with Atrial Fibrillation

  • Yan X,
  • Xia P,
  • Tong H,
  • Lan C,
  • Wang Q,
  • Zhou Y,
  • Zhu H,
  • Jiang C

Journal volume & issue
Vol. Volume 17
pp. 145 – 158

Abstract

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Xiaodi Yan,1,2 Peng Xia,3 Hanwen Tong,4 Chen Lan,1,2 Qian Wang,1,2 Yujie Zhou,5,* Huaijun Zhu,6 Chenxiao Jiang6,* 1Department of Pharmacy, Nanjing Drum Tower Hospital, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu, People’s Republic of China; 2School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu, People’s Republic of China; 3Department of Pharmacy, Nanjing Drum Tower Hospital, School of Pharmacy, Nanjing Medical University, Nanjing, Jiangsu, People’s Republic of China; 4Department of Emergency Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, People’s Republic of China; 5Department of Respiratory Critical Care Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, People’s Republic of China; 6Department of Pharmacy, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, People’s Republic of China*These authors contributed equally to this workCorrespondence: Chenxiao Jiang; Yujie Zhou, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Zhongshan Road No. 321, Nanjing, Jiangsu, People’s Republic of China, Tel +86 177 6173 2923 ; +86 137 0140 9863, Email [email protected]; [email protected]: Acute ischemic stroke (AIS) in patients with atrial fibrillation (AF) carries a substantial risk of mortality, emphasizing the need for effective risk assessment and timely interventions. This study aimed to develop and validate a practical dynamic nomogram for predicting 3-month mortality in AIS patients with AF.Methods: AIS patients with AF were enrolled and randomly divided into training and validation cohorts. The nomogram was developed based on independent risk factors identified by multivariate logistic regression analysis. The prediction performance of the nomogram was evaluated using the area under the receiver operating characteristic curve (AUC-ROC), calibration plots, decision curve analysis (DCA), and Kaplan-Meier survival analysis.Results: A total of 412 patients with AIS and AF entered final analysis, 288 patients in the training cohort and 124 patients in the validation cohort. The nomogram was developed using age, baseline National Institutes of Health Stroke Scale score, early introduction of novel oral anticoagulants, and pneumonia as independent risk factors. The nomogram exhibited good discrimination both in the training cohort (AUC, 0.851; 95% CI, 0.802– 0.899) and the validation cohort (AUC, 0.811; 95% CI, 0.706– 0.916). The calibration plots, DCA and Kaplan-Meier survival analysis demonstrated that the nomogram was well calibrated and clinically useful, effectively distinguishing the 3-month survival status of patients with AIS and AF, respectively. The dynamic nomogram can be obtained at the website: https://yanxiaodi.shinyapps.io/3-monthmortality/.Conclusion: The dynamic nomogram represents the first predictive model for 3-month mortality and may contribute to managing the mortality risk of patients with AIS and AF.Keywords: dynamic nomogram, mortality, acute ischemic stroke, atrial fibrillation

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