SURVIVAL ANALYSIS OF DIALYSIS PATIENTS IN SELECTED HOSPITALS OF LAHORE CITY

Authors

  • Zahid Ahmad
  • Isaac Shahzad

Abstract

Background: There are several reasons which are directly or indirectly relate to affect the survival time of End Stage Renal Disease (ESRD) patients. This study was done to analyse the survival rate of ESRD patients in Lahore city, and to evaluate the influence of various risk factors and prognostic factors on survival of these patients. Methods: A sample of 40 patients was taken from the Jinnah Hospital Lahore and Lahore General Hospital by using the convenience sampling technique. The Log Rank Test was used to determine the significant difference between the categories of qualitative variables of ESRD patients. Multivariate Cox Regression Analysis was used to analyse the effect of different clinical and socio-economic variables on the survival time of these patients. Results: Different qualitative variables like: age, marital status, BMI, comorbid factors, diabetes type, gender, income level, place, risk factor like diabetes, ischemic heart disease, hypertension and Hepatitis status were analysed on the basis of Log Rank Test. While age and comorbid factors were found to be statistically significant which showed that the distribution of age and comorbid factors were different. By using the Cox Regression analysis the coefficient of Mass, serum albumin and family history of diabetes were found to be significant.  Conclusions: There were some of the factors which had been taken for the analysis came out less or more significant in patients of ESRD. So it was concluded that mostly clinical factors which were Mass of the Patient, Serum Albumin and Family History of Diabetes made significant contribution towards the survival status of patients.Keywords: End Stage Renal Disease, Comorbidity. Family History of Diabetes (FHDiab)

References

Walker R, Whittlesea C. Clinical Pharmacy and Therapeutics. 4th ed. Churchill Livingstone;2007.

The National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) [homepage on the internet], National kidney and Urologic Disease information Clearinghouse NKUDIC. Available from: kidney.niddk.nih.gov.

http://www.patient.co.uk/doctor/acute-kidney-injury-pro

Professional Guide to Diseases. 8th ed: Lippincott Williams & Wilkins; 2005.

http://www.emedicinehealth.com/diabetes/center.htm.

Kimmel P, Peterson R, Weihs K, Simmens S, Alleyne S, Cruz I et al. Psychosocial factors, behavioral compliance and survival in urban hemodialysis patients, Kidney International 1998;54:245–54.

Mazzuchi N, Martínez F, Carbonell E, Curi L, Cean J,Orihuela S. Comparison of survival for haemodialysis patients vs renal transplant recipients treated in Uruguay. Nephrol. Dial. Transplant. 1999;14(12):2849–54.

Sarnak MJ, Jaber BL. Mortality caused by sepsis in patients with end-stage renal disease compared with the general population kidney international 2000; Volume 58, pp. 1758–64. (http://www.ncbi.nlm.nih.gov/pubmed/11012910)

Craig J, Coresh J, Klag J, Levey A, Martin L, Fink N et al. Validation of Comorbid Conditions on the End-Stage Renal Disease Medical Evidence Report Nephrol. American Society of Nephrology 2000;11:520–9.

Akiba T, Nakai S, Shinzato T, Yamazaki C, Kitaoka T, Kubo K et al. Why has the gross mortality of dialysis patients increased in Japan, Patient Survey Committee, Japanese Society for Dialysis Therapy, Nagoya, Japan.2000.

Abbott K, Glanton C, Trespalacios F, Oliver D, Ortiz M, Agodoa L et al. Body mass index, dialysis modality, and survival: Analysis of the United States Renal Data System Dialysis Morbidity and Mortality Wave II Study. Kidney International 2004;65:597–605.

Downloads

Published

2015-03-01