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Application of the Stratified Nursing Mode of the Prediction Model Constructed Based on Case System Data in the Nursing of Patients with Acute Renal Failure
OBJECTIVE: To explore the application of the stratified nursing mode of the prediction model constructed based on case system data in the nursing of patients with acute renal failure (ARF). METHODS: A total of 84 patients with ARF confirmed in the hospital were enrolled between February 2020 and Feb...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9282997/ https://www.ncbi.nlm.nih.gov/pubmed/35844465 http://dx.doi.org/10.1155/2022/5666145 |
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author | Shen, Jiaping Mei, Xufeng Sun, Xueping |
author_facet | Shen, Jiaping Mei, Xufeng Sun, Xueping |
author_sort | Shen, Jiaping |
collection | PubMed |
description | OBJECTIVE: To explore the application of the stratified nursing mode of the prediction model constructed based on case system data in the nursing of patients with acute renal failure (ARF). METHODS: A total of 84 patients with ARF confirmed in the hospital were enrolled between February 2020 and February 2022. According to the simple random grouping method, they were divided into an observation group and a control group, 42 cases in each group. The control group was given routine nursing while the observation group was given stratified nursing of the prediction model constructed based on case system data. All were nursed for 2 months. RESULTS: There was no significant difference in general data such as gender, age, body mass index (BMI), serum creatinine (Scr), hemoglobin (Hb), and albumin between the two groups (P > 0.05). Age >60 years, weight fluctuation >2 kg during dialysis, vascular blockage or infection, coronary heart disease, diabetes mellitus, chronic hepatopathy and stroke, bleeding tendency, and neuromuscular abnormalities were high-risk factors for ARF patients, hypertension, thyroid abnormalities, hyperlipidemia, persistent or repeated blood volume overload, and usage of antihypertensive drugs were moderate-risk factors for ARF patients, and nonpermeability dehydration was a low-risk factor of ARF patients. The scores of nursing satisfaction and treatment compliance in the observation group were significantly higher than those in the control group (P < 0.05). After 2 months of nursing, scores of SAS, SDS, and SPBS in both the groups were significantly decreased (P < 0.05), which were significantly lower in the observation group than those in the control group (P < 0.05). CONCLUSION: The stratified nursing mode of the prediction model constructed based on case system data is conducive to timely and targeted nursing, with high patient satisfaction and cooperation, and a better psychological state. |
format | Online Article Text |
id | pubmed-9282997 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-92829972022-07-15 Application of the Stratified Nursing Mode of the Prediction Model Constructed Based on Case System Data in the Nursing of Patients with Acute Renal Failure Shen, Jiaping Mei, Xufeng Sun, Xueping Emerg Med Int Research Article OBJECTIVE: To explore the application of the stratified nursing mode of the prediction model constructed based on case system data in the nursing of patients with acute renal failure (ARF). METHODS: A total of 84 patients with ARF confirmed in the hospital were enrolled between February 2020 and February 2022. According to the simple random grouping method, they were divided into an observation group and a control group, 42 cases in each group. The control group was given routine nursing while the observation group was given stratified nursing of the prediction model constructed based on case system data. All were nursed for 2 months. RESULTS: There was no significant difference in general data such as gender, age, body mass index (BMI), serum creatinine (Scr), hemoglobin (Hb), and albumin between the two groups (P > 0.05). Age >60 years, weight fluctuation >2 kg during dialysis, vascular blockage or infection, coronary heart disease, diabetes mellitus, chronic hepatopathy and stroke, bleeding tendency, and neuromuscular abnormalities were high-risk factors for ARF patients, hypertension, thyroid abnormalities, hyperlipidemia, persistent or repeated blood volume overload, and usage of antihypertensive drugs were moderate-risk factors for ARF patients, and nonpermeability dehydration was a low-risk factor of ARF patients. The scores of nursing satisfaction and treatment compliance in the observation group were significantly higher than those in the control group (P < 0.05). After 2 months of nursing, scores of SAS, SDS, and SPBS in both the groups were significantly decreased (P < 0.05), which were significantly lower in the observation group than those in the control group (P < 0.05). CONCLUSION: The stratified nursing mode of the prediction model constructed based on case system data is conducive to timely and targeted nursing, with high patient satisfaction and cooperation, and a better psychological state. Hindawi 2022-07-07 /pmc/articles/PMC9282997/ /pubmed/35844465 http://dx.doi.org/10.1155/2022/5666145 Text en Copyright © 2022 Jiaping Shen et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Shen, Jiaping Mei, Xufeng Sun, Xueping Application of the Stratified Nursing Mode of the Prediction Model Constructed Based on Case System Data in the Nursing of Patients with Acute Renal Failure |
title | Application of the Stratified Nursing Mode of the Prediction Model Constructed Based on Case System Data in the Nursing of Patients with Acute Renal Failure |
title_full | Application of the Stratified Nursing Mode of the Prediction Model Constructed Based on Case System Data in the Nursing of Patients with Acute Renal Failure |
title_fullStr | Application of the Stratified Nursing Mode of the Prediction Model Constructed Based on Case System Data in the Nursing of Patients with Acute Renal Failure |
title_full_unstemmed | Application of the Stratified Nursing Mode of the Prediction Model Constructed Based on Case System Data in the Nursing of Patients with Acute Renal Failure |
title_short | Application of the Stratified Nursing Mode of the Prediction Model Constructed Based on Case System Data in the Nursing of Patients with Acute Renal Failure |
title_sort | application of the stratified nursing mode of the prediction model constructed based on case system data in the nursing of patients with acute renal failure |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9282997/ https://www.ncbi.nlm.nih.gov/pubmed/35844465 http://dx.doi.org/10.1155/2022/5666145 |
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