Tahidul Islam, Arindam Datta, Kaushik Tripura
BACKGROUND Chronic kidney disease (CKD) encompasses a spectrum of different pathophysiological processes associated with abnormal kidney function and a progressive decline in glomerular filtration rate (GFR). CKD is defined as kidney damage for more than 3 months, as defined by structural or functional abnormalities of kidney, with or without decreased glomerular filtration rate (GFR), which manifests either as pathological abnormalities or markers of kidney damage, including abnormalities in composition of the blood or urine, or abnormalities in imaging tests, with or without kidney damage. METHODS A hospital based cross sectional study was done from February 2017 to October 2018 (1.5 years) at Department of General Medicine, Tripura Medical College & Dr BRAM Teaching Hospital, Hapania, Agartala, West Tripura, among 100 CKD patients who attended Tripura Medical College and Dr. BRAM Teaching Hospital, Hapania, Agartala. RESULTS In this study, the mean age was 62.4± 9.37 years. Males (58%) were predominant. The mean Hb% of the participants was 9.13± 1.55, mean urea was 108.74± 61.29, mean creatinine was 4.96± 6.20. The mean TG was 175.4± 66, mean cholesterol of the participants was 169.53±52.49, mean LDL of the participants was 119.26±28.20 and the mean HDL of the participants was 41.06±13.24. Among the male participants, 50% of the males were in CKD stage- 3, 22.4% were in stage- 4, 15.5% in CKD- 2, 8.6% in CKD- 5 and 3.4% in CKD- 1. Among the female participants, 42.9% were in CKD- 3, 28.6% in CKD- 4, 19% in CKD- 2, 7.1% in CKD- 1 and 2.4% CKD- 5. CONCLUSIONS Cardiovascular Disease (CVD) is emerging as the most common cause of death in patients with End Stage Renal Disease (ESRD). Left ventricular hypertrophy (LVH) is an independent predictor of mortality in chronic kidney disease patients. Hypertension is highly prevalent in CKD patients. Anaemia is an anticipated consequence as renal function declines, and can develop at any stage of CKD. CAD, hypertension, and QTc dispersion appeared as independent factors predictive of CVA development.
