Effects of PESAI (Privacy Computing Ecosystem for AI Program) and Multidisciplinary Management to Slow the Progression of Chronic Kidney Disease in Patients with Type 2 Diabetes Mellitus and Hypertension
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Abstract
Objective: To study the effects of the PESAI (Privacy Computing Ecosystem for AI) and multidisciplinary management to slow progression of chronic kidney disease in patients with type 2 diabetes and hypertension. Methods: This study was quasi-experimental research in one group with pre-test and post-test after intervention. Subjects were 162 patients with diabetes and hypertension and diagnosed with stage 1 to 3 chronic kidney disease who received care at the diabetes and hypertension clinic at Thepsathit Hospital, Chaiyaphum. The PESAI program was a program for alerting abnormalities of laboratory results related to chronic kidney disease. Data such as general patient information, blood pressure level, laboratory results and drug use were collected from electronic databases and medical records for 6 months prior to the program installation. Data were also collected on the day patients visited the diabetes and hypertension clinic within 6 months after program installation. The subjects were scheduled for blood and urine testing twice, 3 months apart. The PESAI program alerted if abnormalities of laboratory results were detected, which was followed by management by multidisciplinary team. Results: After program implementation, subjects had a significant lower level of blood pressure, HbA1C, and LDL (P<0.05). After program implementation, number of patients with NSAIDs and the number of patients not adjusted for metformin significantly decreased (P<0.05). Glomerulus filtration rate, hemoglobin and the number of patients with negative urinary protein content significantly increased compared to those before the program (P<0.05). However bicarbonate and potassium levels before after the program were not different. Conclusion: Implementing PESAI with multidisciplinary management may heal delay progression of chronic kidney disease in patients with type 2 diabetes and high blood pressure.
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ผลการวิจัยและความคิดเห็นที่ปรากฏในบทความถือเป็นความคิดเห็นและอยู่ในความรับผิดชอบของผู้นิพนธ์ มิใช่ความเห็นหรือความรับผิดชอบของกองบรรณาธิการ หรือคณะเภสัชศาสตร์ มหาวิทยาลัยสงขลานครินทร์ ทั้งนี้ไม่รวมความผิดพลาดอันเกิดจากการพิมพ์ บทความที่ได้รับการเผยแพร่โดยวารสารเภสัชกรรมไทยถือเป็นสิทธิ์ของวารสารฯ
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