Objective: The objective of the study was to determine the demographic factors affecting Quality Of Life (QOL) of hemodialysis (HD) patients. Methods: This observational study was conducted at Shalamar Hospital, Lahore. Patients of End Stage Renal Disease (ESRD) and on maintenance HD for more than three months were included during the period March to June 2012. Patient of ESRD not on dialysis and Acute Renal Failure were excluded. One hundred and twenty five patients who fulfilled the criteria were included. Demographic data containing age, sex, residence, socio economic status, education, mode of traveling for dialysis, total time consumed in dialysis were collected by the investigators. QOL index was measured using 26 items, WHO QOL BREF. Results: There were 89(71.2%) male and 36(28.8%) female patients. Environmental domain score was highest (p=0.000) than all other domains in HD Patients. In overall analysis age, marital status and total time consumed in getting HD effect QOL significantly (p=<0.05). In domain wise analysis, male has better QOL in social relationship domain than female. Age has negative relationship with physical health and psychological health domain. QOL of unmarried and literate patients is significantly better (p=<0.05) in physical health domain. Employed patients have better QOL in physical, psychological and social relationship domain (p=<0.05) than unemployed patients. Patients of residence of rural areas have better QOL in physical and environment domain. Financial status of HD patients affect QOL in social domain. Distance covered to reach hospital effect QOL in psychological domain (p=<0.05). Patients traveling in private transport have better QOL in environmental domain (p=<0.05). Total time consumed in getting HD effect social relation in QOL (p=<0.05). According to linear regression model, marital status is positive predictor and unemployment is negative predictor of QOL in physical health domain. Age is negative predictor of QOL in psychological domain, monthly income is positive predictor of QOL in domain. Unemployment is positive predictor of QOL in social relation domain. Monthly income and place of residence is positive predictor of QOL in environment domain. Conclusion: Gender, age, marital status, unemployment, residence of rural area, economical status, distance covered to reach hospital, mode of transport, total time consumed in getting HD, effect QOL in HD patient. Education level is a positive factor for improving QOL of HD patients.

Aim: To determine the frequency of preeclampsia induced acute kidney injury in patients presenting in a tertiary care hospital. Study design: Cross sectional study. Study setting: Department of Nephrology, KEMU/Mayo Hospital Gynecology, Lady Atchison Hospital Lahore, Methodology: All 180 pregnant females having acute kidney injury as per operational definition between 15 years to 50 years presenting in 3rd trimester of pregnancy for delivery were included in study after taking informed consent. Pregnant females with Blood Pressure >140/90mmHg after 20 weeks of pregnancy and laboratory investigation i.e. proteinuria were recorded. All investigations were done from laboratory of KEMU /Mayo hospital Lahore. After the diagnosis was made, the patients were treated according to the guidelines in hospital setting. Results: In this study, out of 180 cases, 118(65.56%) were between 15-32 years of age whereas 62(34.44%) were between 33-55 years of age, mean±SD was calculated as 30.21±5.35 years, mean blood pressure of the patients was recorded as 154.27±108.15mmHg, mean serum creatinine of the patients was calculated as 4.39±0.28 mg/dl, frequency of urinary protein was recorded as 62(62.22%) while 68(37.78%) patients had no proteinuria, frequency of preeclampsia induced AKI in pregnancy was recorded in 47(26.11%). Conclusion: Frequency of preeclampsia induces acute kidney injury is very high and it must be diagnosed and treated appropriately in time to reduce maternal mortality and morbidity. Keywords: Pre-eclampsia, acute kidney injury, frequency