A predictive nursing model using CT perfusion imaging improves outcomes in acute cerebral hemorrhage

To evaluate the impact of a predictive nursing model (CTP-PNM) based on CT perfusion imaging parameters compared to routine nursing (RN). Specifically, we assessed prognosis, neurological recovery, biochemical markers, symptom relief, quality of life, and complications in patients with acute cerebral hemorrhage (ACH). A retrospective cohort study included 225 ACH patients (RN group: n = 121; CTP-PNM group: n = 104) treated between May 2021 and May 2023. The RN group received standard care. The CTP-PNM group received RN plus targeted interventions, such as intensified intracranial pressure (ICP) monitoring and anti-inflammatory measures, guided by individual CTP-defined risks. Baseline characteristics, biochemical markers, symptoms, neurological, cognitive, emotional, functional, and quality-of-life scales, overall treatment effectiveness, and complications were compared. Groups were comparable at baseline. After nursing, the CTP-PNM group demonstrated significant improvements across neurological function (e.g., NIHSS score), inflammatory markers, emotional state, and quality of life (all P < 0.05). CTP-PNM had higher total efficacy (P < 0.001) and significantly lower total complication rates (P = 0.016), particularly infections, deep vein thrombosis (DVT), pressure sores, and Gastrointestinal (GI) hemorrhage. The CT perfusion parameter-based predictive nursing model represents a significant advance over routine care for ACH patients. It not only enhances neurological recovery, reduces inflammatory markers, alleviates symptoms, improves emotional state and quality of life but also increases overall treatment effectiveness and decreases complications. This approach has the potential to set a new standard for managing ACH patients.