1. To enhance the accuracy of predicting post-induction hypotension (PIH), we can consider additional features like fluid balance status and electrolyte levels. These can provide a more comprehensive baseline for predictions. Additionally, continuous real-time hemodynamic monitoring, including heart rate variability, cardiac output, and pulse pressure variations, can be extremely helpful. These dynamic measurements allow us to capture the physiological changes happening during anesthesia induction, leading to more precise predictions of PIH.
For blood pressure measurement, invasive methods such as obtaining BP from an arterial line are more accurate and reliable than non-invasive methods. However, the applicability of these methods depends on the patient’s status and may not be suitable for every case.
2. To address the limitations of the current study and make the predictive model work better for different surgeries, we should consider several future research directions. First, conducting multicenter studies with diverse patient populations and healthcare settings can help check if the model works well in different environments and improve its overall reliability. Additionally, creating customized models for specific types of surgeries can make predictions more accurate, since different procedures may have unique risk factors for PIH.