Objective: To analyze the impact of the predictive rehabilitation nursing model on the quality of emergency transport and rehabilitation outcomes for patients with acute cerebral hemorrhage (ICH). Methods: A total of 62 patients with acute cerebral hemorrhage admitted to the hospital from January 2022 to December 2024 were selected as the study subjects. The observation group (n = 31) received conventional nursing combined with the predictive rehabilitation nursing model during the emergency process, while the control group (n = 31) received conventional nursing. The recovery conditions (Fuel-Meyer Assessment (FMA) score, Barthel Index (BI)), incidence of complications, nursing satisfaction, and time to regain consciousness were compared between the two groups. Results: After the intervention, the FMA and BI scores of the observation group were significantly higher than those of the control group, with statistically significant differences. The incidence of complications in the observation group was significantly lower than that in the control group. In terms of nursing satisfaction, the scores of various indicators in the observation group were higher than those in the control group, with statistically significant differences. The time to regain consciousness in the observation group was (48.72 ± 11.76) minutes, compared to (64.29 ± 14.58) minutes in the control group, with the observation group regaining consciousness earlier than the control group. Conclusion: The application of the predictive rehabilitation nursing model in the emergency transport process of patients with acute cerebral hemorrhage can reduce the incidence of complications, shorten the duration of consciousness disorder, improve the quality of transport, and enhance functional rehabilitation levels.
Li B, Hao J, Zheng P, Ning G, 2023, Editorial: Advances in Theranostics of CNS Injuries and Diseases: From Basic Research to Clinical Practice. Front Neurosci, 17: 1255751.
Li Q, Lv X, Morotti A, et al., 2025, Optimal Magnitude of Blood Pressure Reduction and Hematoma Growth and Functional Outcomes in Intracerebral Hemorrhage. Neurology, 104(5): e213412.
Li Q, Morotti A, Warren A, et al., 2023, Intensive Blood Pressure Reduction Is Associated With Reduced Hematoma Growth in Fast Bleeding Intracerebral Hemorrhage. Ann Neurol, 95(1): 1–8.
Lun R, Yogendrakumar V, Walker G, et al., 2021, Revised Intracerebral Hemorrhage Expansion Definitions: Relationship With Care Limitations. Int J Stroke, 16(6): 640–647.
Ma Y, Zhang D, Lv Z, et al., 2021, Optimal Intervention Time and Risk of the Activating Blood and Removing Stasis Method in Acute Cerebral Hemorrhage Patients: A Randomized Placebo-Controlled Trial. Medicine (Baltimore), 100(2): e24214.
Yogendrakumar V, Ramsay T, Menon BK, et al., 2021, Hematoma Expansion Shift Analysis to Assess Acute Intracerebral Hemorrhage Treatments. Neurology, 97(8): e755–e764.
You S, Zheng D, Delcourt C, et al., 2019, Determinants of Early Versus Delayed Neurological Deterioration in Intracerebral Hemorrhage. Stroke, 50(6): 1409–1414.
Wang MF, Liu Y, Song HZ, 2021, Effect of Predictive Nursing on Airway Patency in Patients With Severe Craniocerebral Injury. Minerva Med, 2021.
Murphy J, Silva Pinheiro do Nascimento J, Houskamp EJ, et al., 2025, Phenotypes of Patients With Intracerebral Hemorrhage, Complications, and Outcomes. Neurocrit Care, 42(1): 39–47.
Liu Q, Zhu H, 2016, Application of Predictive Nursing Reduces Psychiatric Complications in ICU Patients After Neurosurgery. Iran J Public Health, 45(4): 469–473.
Zhao XJ, Li QX, Chang LS, et al., 2019, Evaluation of the Application of APACHE II Combined With NIHSS Score in the Short-Term Prognosis of Acute Cerebral Hemorrhage Patient. Front Neurol, 10: 475.
Qureshi AI, Qureshi MH, 2018, Acute Hypertensive Response in Patients With Intracerebral Hemorrhage Pathophysiology and Treatment. J Cereb Blood Flow Metab, 38(9): 1551–1563.
Song L, Wang X, Ouyang M, et al., 2021, Associations of an Abnormal Physiological Score With Outcomes in Acute Intracerebral Hemorrhage: INTERACT2 Study. Stroke, 52(2): 722–725.
Sun X, Jv X, Mi Q, et al., 2022, The Effect of Blood Pressure Variability on the Prognosis of Patients With Acute Cerebral Hemorrhage: Possible Mechanism. Front Neurosci, 16: 1035061.
Yu B, Melmed KR, Frontera J, Zhu W, Huang H, Qureshi AI, et al., 2025, Predicting Hematoma Expansion After Intracerebral Hemorrhage: A Comparison of Clinician Prediction With Deep Learning Radiomics Models. Neurocrit Care, 2025.
Toyoda K, Palesch YY, Koga M, et al., 2021, Regional Differences in the Response to Acute Blood Pressure Lowering After Cerebral Hemorrhage. Neurology, 96(5): e740–e751.
Wei F, Cui Y, Guo X, et al., 2023, Correlations of Inflammatory Factors, CCCK-18, MMP-9 and D-Dimer With APACHE II Score and Prognosis of Patients With Acute Cerebral Hemorrhage. Minerva Med, 114(2): 162–168.
Huo HL, Gui YY, Xu CM, et al., 2022, Effects of the Information-Knowledge-Attitude-Practice Nursing Model Combined With Predictability Intervention on Patients With Cerebrovascular Disease. World J Clin Cases, 10(20): 6803–6810.
Heo YM, Lee M, Jang SJ, 2021, Intentions of Frontline Nurses Regarding COVID-19 Patient Care: A Cross-Sectional Study in Korea. J Nurs Manag, 29(6): 1880–1888.
Gong L, Ruan C, Yang X, Lin W, 2021, Effects of Predictive Nursing Intervention Among Patients With Acute Stroke. Iran J Public Health, 50(7): 1398–1404.
Fu S, Han H, Fan C, et al., 2020, Clinical Nursing Pathway Improves the Nursing Satisfaction in Patients With Acute Cerebral Hemorrhage: A Randomized Controlled Trial Protocol. Medicine (Baltimore), 99(44): e22989.
Deng A, Yang S, Xiong R, 2020, Effects of an Integrated Transitional Care Program for Stroke Survivors Living in a Rural Community: A Randomized Controlled Trial. Clin Rehabil, 34(4): 524–532.
And Biomechanics AB, 2023, Retracted: Effect of Predictive Nursing Combined With Emotional Therapy on Rehabilitation Effect and Psychological State of Patients With Brain Injury After the Operation. Appl Bionics Biomech, 2023: 9857490.