Novel risk-factor analysis and risk-evaluation model of falls in patients receiving maintenance hemodialysis
This study investigated the prevalence of falls in maintenance hemodialysis (MHD) patients, and established a nomogram model for evaluating the fall risk of MHD patients. This study enrolled 303 MHD patients from the dialysis department of a tertiary hospital in July 2021. The general data of the pa...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-12-01
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| Series: | Renal Failure |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/0886022X.2023.2182608 |
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| _version_ | 1850143297807319040 |
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| author | Xiaomin Liu Sijie Chen Caifei Liu Xilong Dang Meng Wei Xia Xin Julin Gao |
| author_facet | Xiaomin Liu Sijie Chen Caifei Liu Xilong Dang Meng Wei Xia Xin Julin Gao |
| author_sort | Xiaomin Liu |
| collection | DOAJ |
| description | This study investigated the prevalence of falls in maintenance hemodialysis (MHD) patients, and established a nomogram model for evaluating the fall risk of MHD patients. This study enrolled 303 MHD patients from the dialysis department of a tertiary hospital in July 2021. The general data of the participants, as well as the scores on the FRAIL scale, Sarcopenia Screening Questionnaire (SARC-F), Short Physical Performance Battery (SPPB) Scale, and of anxiety and depression, and the occurrence of falls were recorded. Using R language, data were assigned to the training set (n = 212) and test set (n = 91), and a logistic regression model was established. The regression model was verified by the receiver operating characteristic (ROC) curve, area under the curve (AUC), and the calibration curve. As a result, the prevalence of falls in MHD patients was 20.46%. Risk factors for falls in the optimal multivariate logistic regression model included hearing impairment, the depression score, and the SPPB score, of which a higher depression score (odds ratio (OR): 1.28, 95% confidence interval (CI): 1.09–1.49, p = 0.002) and SPPB ≤ 6 (ORvsSPPB9-12: 3.69, 95% CI: 1.04–13.14, p = 0.043) conferred independent risk for falls. AUC of the nomogram in the training was 0.773, which in the test group was 0.663. The calibration and standard curves were fitted closely, indicated that the evaluation ability of the model was good. Thus, a higher depression score and SPPB ≤ 6 are independent risk factors for falls in MHD patients, and the nomogram with good accuracy and discrimination that was established in this study has clinical application value. |
| format | Article |
| id | doaj-art-6a15d12d2e3840e3ab13e375a19e44e9 |
| institution | OA Journals |
| issn | 0886-022X 1525-6049 |
| language | English |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Renal Failure |
| spelling | doaj-art-6a15d12d2e3840e3ab13e375a19e44e92025-08-20T02:28:46ZengTaylor & Francis GroupRenal Failure0886-022X1525-60492023-12-0145110.1080/0886022X.2023.2182608Novel risk-factor analysis and risk-evaluation model of falls in patients receiving maintenance hemodialysisXiaomin Liu0Sijie Chen1Caifei Liu2Xilong Dang3Meng Wei4Xia Xin5Julin Gao6Department of Dialysis, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People’s Republic of ChinaMedical School of Yan'an University, Xi'an, People’s Republic of ChinaMedical School of Yan'an University, Xi'an, People’s Republic of ChinaDepartment of Dialysis, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People’s Republic of ChinaDepartment of Dialysis, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People’s Republic of ChinaNursing Department, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People’s Republic of ChinaDepartment of Dialysis, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People’s Republic of ChinaThis study investigated the prevalence of falls in maintenance hemodialysis (MHD) patients, and established a nomogram model for evaluating the fall risk of MHD patients. This study enrolled 303 MHD patients from the dialysis department of a tertiary hospital in July 2021. The general data of the participants, as well as the scores on the FRAIL scale, Sarcopenia Screening Questionnaire (SARC-F), Short Physical Performance Battery (SPPB) Scale, and of anxiety and depression, and the occurrence of falls were recorded. Using R language, data were assigned to the training set (n = 212) and test set (n = 91), and a logistic regression model was established. The regression model was verified by the receiver operating characteristic (ROC) curve, area under the curve (AUC), and the calibration curve. As a result, the prevalence of falls in MHD patients was 20.46%. Risk factors for falls in the optimal multivariate logistic regression model included hearing impairment, the depression score, and the SPPB score, of which a higher depression score (odds ratio (OR): 1.28, 95% confidence interval (CI): 1.09–1.49, p = 0.002) and SPPB ≤ 6 (ORvsSPPB9-12: 3.69, 95% CI: 1.04–13.14, p = 0.043) conferred independent risk for falls. AUC of the nomogram in the training was 0.773, which in the test group was 0.663. The calibration and standard curves were fitted closely, indicated that the evaluation ability of the model was good. Thus, a higher depression score and SPPB ≤ 6 are independent risk factors for falls in MHD patients, and the nomogram with good accuracy and discrimination that was established in this study has clinical application value.https://www.tandfonline.com/doi/10.1080/0886022X.2023.2182608Fallmaintenance hemodialysisdepressionnomogram |
| spellingShingle | Xiaomin Liu Sijie Chen Caifei Liu Xilong Dang Meng Wei Xia Xin Julin Gao Novel risk-factor analysis and risk-evaluation model of falls in patients receiving maintenance hemodialysis Renal Failure Fall maintenance hemodialysis depression nomogram |
| title | Novel risk-factor analysis and risk-evaluation model of falls in patients receiving maintenance hemodialysis |
| title_full | Novel risk-factor analysis and risk-evaluation model of falls in patients receiving maintenance hemodialysis |
| title_fullStr | Novel risk-factor analysis and risk-evaluation model of falls in patients receiving maintenance hemodialysis |
| title_full_unstemmed | Novel risk-factor analysis and risk-evaluation model of falls in patients receiving maintenance hemodialysis |
| title_short | Novel risk-factor analysis and risk-evaluation model of falls in patients receiving maintenance hemodialysis |
| title_sort | novel risk factor analysis and risk evaluation model of falls in patients receiving maintenance hemodialysis |
| topic | Fall maintenance hemodialysis depression nomogram |
| url | https://www.tandfonline.com/doi/10.1080/0886022X.2023.2182608 |
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