y and specificity for preeclampsia-related kidney injury. Genomic and proteomic approaches may uncover novel biomarkers predictive of renal outcomes. Additionally, artificial intelligence and machine learning models are being developed to integrate clinical and labo
gement strategies for mild versus severe preeclampsia 2. Indications for antihypertensive therapy and magnesium sulfate administration 3. Timing and mode of delivery considerations 4. This alignment with clinical protocols enhances the applicability of learning to real
ount) Obstetric history Fetal well-being assessments Symptoms (headache, visual disturbances, edema) Social and emotional factors Nursing Diagnoses Based on assessment, formulate relevant diagnoses such as: Risk for decreased cardiac output Ineffective
