A nomogram based on a patient-reported outcomes measure: predicting the risk of readmission for patients with chronic heart failure
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 Usi...
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doaj-7bfcdf8d8d714211ad3ef98bc680ea4d2020-11-25T03:49:25ZengBMCHealth and Quality of Life Outcomes1477-75252020-08-011811810.1186/s12955-020-01534-6A nomogram based on a patient-reported outcomes measure: predicting the risk of readmission for patients with chronic heart failureQiang Han0Jia Ren1Jing Tian2Hong Yang3Qing Zhang4Ruoya Wang5Jinghua Zhao6Linai Han7Chenhao Li8Jingjing Yan9Ke Wang10Chu Zheng11Qinghua Han12Yanbo Zhang13Department of Health Statistics, School of Public Health, Shanxi Medical UniversityDepartment of Cardiology, The 1st Hospital of Shanxi Medical UniversityShanxi Provincial Key Laboratory of Major Diseases Risk AssessmentDepartment of Health Statistics, School of Public Health, Shanxi Medical UniversityDepartment of Cardiology, The 1st Hospital of Shanxi Medical UniversityDepartment of Health Statistics, School of Public Health, Shanxi Medical UniversityDepartment of Health Statistics, School of Public Health, Shanxi Medical UniversityDepartment of Cardiology, The 1st Hospital of Shanxi Medical UniversityDepartment of Health Statistics, School of Public Health, Shanxi Medical UniversityDepartment of Health Statistics, School of Public Health, Shanxi Medical UniversityDepartment of Health Statistics, School of Public Health, Shanxi Medical UniversityDepartment of Health Statistics, School of Public Health, Shanxi Medical UniversityDepartment of Cardiology, The 1st Hospital of Shanxi Medical UniversityDepartment of Health Statistics, School of Public Health, Shanxi Medical UniversityAbstract 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.http://link.springer.com/article/10.1186/s12955-020-01534-6Patient-reported outcomes measureChronic heart failureReadmissionNomogram |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Qiang Han Jia Ren Jing Tian Hong Yang Qing Zhang Ruoya Wang Jinghua Zhao Linai Han Chenhao Li Jingjing Yan Ke Wang Chu Zheng Qinghua Han Yanbo Zhang |
spellingShingle |
Qiang Han Jia Ren Jing Tian Hong Yang Qing Zhang Ruoya Wang Jinghua Zhao Linai Han Chenhao Li Jingjing Yan Ke Wang Chu Zheng Qinghua Han Yanbo Zhang A nomogram based on a patient-reported outcomes measure: predicting the risk of readmission for patients with chronic heart failure Health and Quality of Life Outcomes Patient-reported outcomes measure Chronic heart failure Readmission Nomogram |
author_facet |
Qiang Han Jia Ren Jing Tian Hong Yang Qing Zhang Ruoya Wang Jinghua Zhao Linai Han Chenhao Li Jingjing Yan Ke Wang Chu Zheng Qinghua Han Yanbo Zhang |
author_sort |
Qiang Han |
title |
A nomogram based on a patient-reported outcomes measure: predicting the risk of readmission for patients with chronic heart failure |
title_short |
A nomogram based on a patient-reported outcomes measure: predicting the risk of readmission for patients with chronic heart failure |
title_full |
A nomogram based on a patient-reported outcomes measure: predicting the risk of readmission for patients with chronic heart failure |
title_fullStr |
A nomogram based on a patient-reported outcomes measure: predicting the risk of readmission for patients with chronic heart failure |
title_full_unstemmed |
A nomogram based on a patient-reported outcomes measure: predicting the risk of readmission for patients with chronic heart failure |
title_sort |
nomogram based on a patient-reported outcomes measure: predicting the risk of readmission for patients with chronic heart failure |
publisher |
BMC |
series |
Health and Quality of Life Outcomes |
issn |
1477-7525 |
publishDate |
2020-08-01 |
description |
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. |
topic |
Patient-reported outcomes measure Chronic heart failure Readmission Nomogram |
url |
http://link.springer.com/article/10.1186/s12955-020-01534-6 |
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