A nomogram based on a patient-reported outcomes measure: predicting the risk of readmission for patients with chronic he
- PDF / 847,433 Bytes
- 8 Pages / 595.276 x 790.866 pts Page_size
- 101 Downloads / 150 Views
(2020) 18:290
RESEARCH
Open Access
A nomogram based on a patient-reported outcomes measure: predicting the risk of readmission for patients with chronic heart failure Qiang Han1,2†, Jia Ren3†, Jing Tian2,3, Hong Yang1,2, Qing Zhang3, Ruoya Wang1,2, Jinghua Zhao1,2, Linai Han3, Chenhao Li1,2, Jingjing Yan1,2, Ke Wang1,2, Chu Zheng1,2, Qinghua Han3* and Yanbo Zhang1,2*
Abstract Background: Health-related quality of life, as evaluated by a patient-reported outcomes measure (PROM), is an important prognostic marker in patients with chronic heart failure. This study aimed to use PROM to establish an effective readmission nomogram for chronic heart failure. Methods: Using a PROM as a measurement tool, we conducted a readmission nomogram for chronic heart failure on a prospective observational study comprising of 454 patients with chronic heart failure hospitalized between May 2017 to January 2020. A Concordance index and calibration curve were used to evaluate the discriminative ability and predictive accuracy of the nomogram. A bootstrap resampling method was used for internal validation of results. Results: The median follow-up period in the study was 372 days. After a final COX regression analysis, the gender, income, health care, appetite-sleep, anxiety, depression, paranoia, support, and independence were identified and included in the nomogram. The nomogram showed moderate discrimination, with a concordance index of 0.737 (95% CI 0.673–0.800). The calibration curves for the probability of readmission for patients with chronic heart failure showed high consistency between the probability, as predicted, and the actual probability. Conclusions: This model offers a platform to assess the risk of readmission for different populations with CHF and can assist clinicians with personalized treatment recommendations. Keywords: Patient-reported outcomes measure, Chronic heart failure, Readmission, Nomogram
Introduction Re-admission is the main adverse outcome for patients with heart failure (HF). Because it could be associated with a high mortality, lead to a decreased quality of life, and cause a significant financial burden [1–3]. Thus, it is * Correspondence: [email protected]; [email protected] † Qiang Han and Jia Ren contributed equally to this work. 3 Department of Cardiology, The 1st Hospital of Shanxi Medical University, 85 South Jiefang Road, Taiyuan 030001, Shanxi Province, China 1 Department of Health Statistics, School of Public Health, Shanxi Medical University, 56 South XinJian Road, Taiyuan 030001, Shanxi Province, China Full list of author information is available at the end of the article
important to assess the prognosis of HF, as patients at higher risk of poor outcomes could receive more intensive therapy and close monitoring [4]. There are already efforts to develop novel prognostic models for HF [5]. A number of clinical studies predicting hospitalization for the deterioration of HF have been summarized in detail by Rahimi et al. [6, 7] The majority of effective models were built based on clinical data
Data Loading...
