SHORT TERM IMPACT OF PERSONALIZED eGFR TRAJECTORY BASED MANAGEMENT IN CKD STAGE 3-4 : A 6 MONTH PRE-POST OBSERVATION STUDY

 

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SHORT TERM IMPACT OF PERSONALIZED eGFR TRAJECTORY BASED MANAGEMENT IN CKD STAGE 3-4 : A 6 MONTH PRE-POST OBSERVATION STUDY

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PHAWEEN
LORSOMRUDEE
PATTAMAPORN KUMJAI YUUKUMJAI@YAHOO.COM UDONTHANI HOSPITAL INTERNAL MEDICINE UDONTHANI Thailand -
DHAVEE SIRIVONGS YUUKUMJAI@YAHOO.COM SRINAGARIND HOSPITAL INTERNAL MEDICINE KHON KAEN Thailand -
PHAWEEN LORSOMRUDEE YUUKUMJAI@YAHOO.COM INTERNATIONAL COMMUNITY SCHOOL - BANGKOK Thailand *
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Chronic kidney disease (CKD) stages 3–4 represent a critical period for slowing disease progression and preserving renal function. Conventional management often applies the same follow-up strategy across all patients, despite marked differences in disease patterns. In practice, patients with stable renal function need less intensive care than those with fluctuating or rapidly declining estimated glomerular filtration rate (eGFR). Growing evidence suggests that individual eGFR trajectories can guide the intensity of follow-up and targeted interventions to improve outcomes and optimize healthcare resources.

We conducted a single-center, 6-month pre-post observational study involving adults with CKD stage 3 or 4 receiving regular nephrology follow-up. Patients were retrospectively categorized into three groups according to their eGFR trend over the previous 3 months: (1) stable (minimal change), (2) fluctuating (notable intra-patient variation), and (3) declining (consistent downward trend). Each group received a tailored management plan. Stable patients continued with standard care and routine visits; fluctuating patients underwent closer review to address reversible factors such as volume status or non-adherence; and declining patients received multidisciplinary management involving nephrologists, dietitians, pharmacists, and educators. The main outcomes were changes in eGFR slope and urine albumin-to-creatinine ratio (uACR). Secondary outcomes included changes in blood pressure (target <130/80 mmHg) and medication adherence, assessed by pill counts or validated scales. Within-patient comparisons before and after intervention were analyzed using paired statistical tests.

Final analysis is ongoing. Preliminary observations indicate that trajectory-based management may slow eGFR decline and reduce uACR, especially in patients with initially declining trends. Early signals also suggest better blood pressure control and improved adherence in the fluctuating and declining groups. These findings support the clinical relevance of adjusting care intensity according to eGFR trajectory.

Stratifying CKD management by eGFR trajectory appears to be a practical and scalable approach for improving short-term renal outcomes, strengthening patient engagement, and making more efficient use of healthcare resources. The results may serve as a basis for implementing trajectory-guided models of care in CKD stages 3–4 and for integrating personalized approaches into routine nephrology practice.

Kewords