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Nabeel Taher Jameel Alghanim, Hamed Jadooa Abbas, Hamid Choobineh, Ziba Majidi, Nasrin Dashti,
Volume 19, Issue 2 (7-2025)
Abstract

Background and Aim: This study investigated the biochemical profiles of individuals with different stages of kidney disease, including those with kidney disease without hemodialysis, chronic kidney disease without hemodialysis, and individuals with renal failure undergoing hemodialysis treatment, to clarify the role of mineral markers, inflammation, and kidney function in the complications of this disease.
Materials and Methods: This case-control study was conducted with 180 participants aged 18 to 81 years in Iraq. Participants were divided into four groups: the case group (including individuals with kidney disease not on dialysis, chronic kidney disease not on dialysis, and kidney failure treated with dialysis) and the control group, which included healthy individuals. Blood levels of urea, creatinine, calcium, phosphorus, vitamin D3, parathyroid hormone (PTH), high-sensitivity C-reactive protein (hs-CRP), and cystatin C were measured.
Results: The results showed that the levels of blood urea, calcium, vitamin D3, cystatin C and hs-CRP were significantly different between the different groups. The mean creatinine in the non-dialysis kidney disease group (3.98±1.77 mg/dL) and non-dialysis chronic kidney disease (4.59±1.63 mg/dL) was different from the dialysis kidney failure group (11.03±3.35 mg/dL) (P=0.001), but there was no significant difference between the two groups of kidney disease without dialysis and chronic kidney disease without dialysis. The phosphorus concentration was significant in all groups (P=0.001) and the highest value was observed in the dialysis kidney failure group. The PTH level was not significantly different between the two groups of non-dialysis, but there was a significant difference compared to the dialysis kidney failure group (P=0.001). Cystatin C was not significantly different in the two non-dialysis groups, but was significantly higher (P=0.001) compared with the renal failure group on dialysis (7.06±1.61 mg/dL).
Conclusion: This study demonstrated that regular monitoring of biochemical biomarkers is essential for the timely diagnosis and effective management of kidney disease. It also highlights the importance of paying attention to metabolic and inflammatory abnormalities in patients with kidney disease (especially in patients on dialysis), including extensive changes in biochemical, hormonal, and inflammatory factors levels that often occur due to severe impairment of kidney function and the dialysis process.

Marzieh Latifi, Elahe Pourhossein, Amirhesam Alirezaei, Tannaz Hajialireza Tehrani, Maryam Pourhossein, Sanaz Dehghani,
Volume 19, Issue 5 (12-2025)
Abstract

Background and Aim: Sleep disorders are strongly associated with physical, mental, social health, as well as cognitive functioning. This study aimed to compare the quality of sleep between individuals on kidney transplant waiting list and kidney transplant recipients to develop an appropriate program to improve their health and quality of life.
Materials and Methods: This cross sectional descriptive-analytical study was conducted on 196 patients, including 100 patients who registered on the kidney transplant waiting list and 96 kidney transplant recipients at the Sina Hospital, Tehran University of Medical Sciences (TUMS). Convenience sampling was used. Patients completed a standardized Pittsburgh Sleep Quality Index (PSQI) questionnaire to assess sleep quality. The self-reporting method was used to complete the questionnaires. Clinical and demographic data were collected from patients’ medical files of Sina Hospital by kidney transplant coordinators. Statistical analysis was performed using SPSS, with a significance level set at less than 0.05.
Results: The mean age of the participants was 47 years, with an age range between 18 and 69 years. Sixty-eight-point Thirty-six percent of the patients were male. Based on results, no significant difference was found between patients in kidney waiting list to kidney transplanted patients in demographic variables (age, gender, marital status, number of children, job, level of education, cause of kidney disease). According to independent T- test, the mean score of sleep quality of patients on the waiting list and kidney transplant recipients was (7.75±3.55) and (4.54±3.57), respectively, indicting the significant differences between two groups (P<0.001). Also, the Pearson correlation test reveals a significant positive correlation between age and sleep quality (P=0.038, r=0.612), and a significant negative correlation between duration of dialysis and the average sleep score (P=0.040, r=-0.062). 
Conclusion: It is essential to emphasis attention to the quality of sleep in kidney patients, especially during the pre-transplant and dialysis era.
Additionally, kidney transplantation can be considered an effective solution for improving sleep quality and reducing complications related to kidney failure, although some patients continue to experience sleep problems after the transplant.


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