5 Evaluation Report of the Transport System (PEVCO) connecting Dialysis Hospital to Mubarak Hospital Dr. Anwar AlAnjeri Senior Registrar Clinical Biochemistry Laboratory Mubarak Hospital
Introduction: Delivering prompt, customized care is critical to improving the patient experience and ultimately enabling better patient outcomes. Pneumatic tube systems help hospitals meet patient needs by efficiently transporting drugs, documents and specimens to and from nurses stations, labs, inpatient and outpatient pharmacies, blood banks and the ED. The dialysis Hospital has two main pneumatic tube systems. One system is intended to transport patients samples from the dialysis wards to the Clinical Biochemistry Laboratory in the same building. The other pneumatic tube system is used to transport samples from dialysis hospital to Clinical Biochemistry Laboratory in Mubarak Hospital. Comparison Study: The pneumatic tube system linking the Dialysis hospital to Mubarak Hospital was evaluated by analyzing 4 patient samples. Each sample was divided into two aliquots; one aliquot was sent from the Phlebotomy room in Mubarak Hospital to the Clinical Biochemistry Laboratory in Dialysis Hospital by the pneumatic tube system, the other aliquot was sent by porter. Both aliquots were analyzed using the same Beckman UniCel DxC 6 Synchron Clinical System. Comparison results were subjected to linear regression analysis using Microsoft Excel and Bland-Altman difference plots using the MedCal software (www.medcal.be). P age
Albumin Linear Regression Graph of Albumin 55 45 5 5 5 y =.985x +.556 R² =.984 5 5 5 45 55 - - - 5 5 5 4 45 5 Albumin.5 -. -.6 Alkaline Phosphatase Linear Regression Graph of ALP 5 5 5 y =.89x -.655 R² =.9978 8 6 4 - -4-6 5 5 5 ALP 5..9 -.6 P age
Alanine Aminotransferase 8 6 4 Linear Regression Graph of ALT y =.8x +. R² =.9956 4 6 8.5..5..5..5. -.5 -. -.5 4 6 8 ALT.6.47 -. Aspartate Aminotransferase Linear Regression Graph of AST 4 8 6 4 y =.5x +.578 R² =.996 4 6 8 - - 4 5 6 7 8 AST.4.6 -. P age
Calcium Linear Regression Graph of Calcium.8.6.4. y =.986x +.4 R² =.966.8.8..4.6.8.. -..8...4.6.8 Calcium.6. -.5 Carbon Dioxide Linear Regression Graph of Carbon Dioxide 4 y =.868x +.786 R² =.94 4 - - - -.9-4 5 5 5 4 Carbon Dioxide. -.4 4 P age
Chloride Linear Regression Graph of Chloride 5 5 95 9 y =.95x + 6.5689 R² =.9 9 95 5 5 - - -. - 9 95 5 5 Chloride.9 -. Cholesterol 8 6 4 Linear Regression Graph of Total Cholesterol y =.9966x -.59 R² =.9946 4 6 8.... -. -. -. Bland-Altman Plot -.7 4 5 6 7 8 9 TC.4 -.7 5 P age
Creatinine 5 5 Linear Regression Graph of Creatinine y =.x +.55 R² =.9998 5 5 5 5-5 - 4 6 8 4 Creatinine 6.8.9-5. Direct Bilirubin 5 5 Linear Regression Graph of DBil y =.999x +.7 R² =.9989 5 5... -. -. 4 6 8 Direct Bilirubin.8.4 -. 6 P age
Gamma Glutamyl Transferase 5 5 Linear Regression Graph of GGT y =.56x +.6 R² =.9999 5 5.5..5..5..5. -.5 -. -.5 Bland-Altman plot 4 6 8 GGT.6.47 -. Glucose Linear Regression Graph of Glucose.5 5 5 y =.x +.56 R² =.9974 5 5.4.... -. -. -. 4 6 8 4 6 8 Glucose..7 -.8 7 P age
Phosphorus Linear Regression Graph of Phosphorus..7 Pneumatic y =.95x +.44 R² =.9875.5.5.5. -. -...5..5..5 Phosphorus -. -. Potassium Linear Regression Graph of Potassium... 7 6 5 4 y =.987x +.74 R² =.9879 4 5 6 7. -. -. -. 4 5 6 7 8 Potassium -. -.5 8 P age
Sodium Linear Regression Graph of Sodium 46 44 4 4 8 6 4 y =.888x +.86 R² =.7758 5 4 45 5 4 - - - -4 4 6 8 4 4 44 46 48 Sodium.7. -. Total Bilirubin 5 4 Linear Regression Graph of TBil y =.995x -.57 R² =.9867 4 5..5..5. -.5 -. -.5 -. -.5 4 5 Total Bilirubin.49 -. -.88 9 P age
Total Protein Linear Regression Graph of Total Protein 8 6 4 y =.9875x +.74 R² =.978 4 5 6 7 8 - - - 4 5 6 7 8 9 Total Protein.. -.8 Triglyceride Linear Regression Graph of Triglyceride. Bland-Altman Dofference Plot 4 y =.4x -.5 R² =.9976 4..5 -. -. -.9..5..5..5..5 4. TG P age
Urea Linear Regression Graph of Urea.5 4 y =.57x +.95 R² =.998 4..5. -.5 -. 5 5 5 5 4 Urea.76.4 -.48 Uric Acid Linear Regression Graph of Uric Acid 6 5 4 y =.56x -.85 R² =.999 4 6 - -.4-4 5 6 Uric Acid 7. 6.8 P age
Conclusion Comparison of pneumatic tube transport system with porter transport indicated good analytical agreement across the studied clinical biochemistry tests. The Bland-Atman difference plots showed no significant bias between the two methods. Therefore, the Transport System connecting the Dialysis Hospital to Mubarak Hospital is fit for use in the transport of patients samples between the two Hospitals. Dr. Anwaar AlAnjeri Senior Registrar Clinical Biochemistry Laboratory Mubarak Hospital Professor Segun Mojiminiyi Consultant and Head of Unit Clinical Biochemistry Laboratory Mubarak Hospital P age
Acknowledgement We wish to thank Mrs. Najah Rezqalaah for her major contribution into sample collection and analysis. We are also grateful to Mr. Anwar AlAwadi for his great help in data entry. P age