Clinical data and risk factors for diabetic nephropathy in Brazilian central population

This article describes data set of the profile of patients diagnosed with Diabetic Nephropathy (DN) undergoing hemodialysis and followed-up by Hemodialysis Service in medical centers in Goiânia, Go, Brazil. These data describe specifically the demographic, clinical, and lifestyle variables of 101 patients. In addition, these data provide detailed clinical associations about the profile of patients diagnosed with DN and which are made publicly available to enable critical or extended analyzes. For further interpretation of the data presented in this article, see the research article: Do GST polymorphisms influence in the pathogenesis of diabetic nephropathy? (Lima et al., 2018).


Subject area
Endocrinology More specific subject area Diabetic Nephropathy Type of data Table and figure How data was acquired The data were collected in medical centers in the metropolitan region of Goiânia, Go, Brazil. The data were processed in the RStudio Software v.1.0.153

Data format
Raw analysis Experimental factors The information on demographic features, lifestyle, time with type 2 Diabetes mellitus and the main exams associated with DN control were collected through questionnaires and clinical records' analysis.

Experimental features
The parameters analyzed are according to the criteria established by the American Diabetes Association (ADA) as a reference for the data analysis.

Value of the data
The data show the hyperglycemia may negatively influence the diabetes mellitus (DM) patient's clinical status for diabetic nephropathy (DN) development.
The pre-hemodialysis patients' presented high-level blood urea, due to the presence of an inadequate diet and /or inadequate treatment, respectively. However, the increased in the level of urea was not consistently associated with the reduction of GFR.
The dataset demonstrated that the smoking habits contributed to DN development in association with others risk factors.
These data may be relevant, due to the prevalence of 76.24% of the patients with blood pressure levels inconsistent, indicating systemic arterial hypertension associated with DM act as comorbidity factors for DN development.
These data allow other researchers to extend the statistical analyses.

Data
The demographic and clinical variables features of the studied population are described in Tables 1, 2 and 3. Clinical features of the patients with DN are described in Table 4. Blood pressure of the patients with DN is described in Table 5. In addition, it was detected that 18.81% and 28.71% of the The data are shown as averages (X ), standard deviation ( 7 ) and frequency absolute and relative. p o 0.05 ¼ level of significance.
patients presented obese and overweight, respectively (Table 6). For proper dietary enrollment, 27.72% of the patients follow an adequate diet, and 72.28% have issues in following an appropriate diet due to financial issues and difficulty (Table 7). When analyzing clinical variables of patients who did or did not follow an adequate diet, a significant difference between these groups was observed in some aspects. The creatinine ratio (mean 7.46, p ¼ 0.04), GFR (10.23, p o 0.001) and DAP (mean 81.43, p ¼ 0.006) were higher in subjects who did not follow the diet correctly (Table 8). Fig. 1 describes the Metropolitan region of Goiânia, Aparecida de Goiânia, GO, Brazil.   The data are shown as averages (X ), standard deviation ( 7). p o 0.05 ¼ level of significance.

Experimental design, materials and methods
The data were obtained during two years (2016-2017) in 101 diabetic nephropathy (DN) patients hemodialysis treatment from the medical centers of the metropolitan region from Goiânia, GO, Brazil. The information on demographic features, lifestyle, time with type 2 Diabetes mellitus and the main exams associated with DN control were collected through questionnaires and clinical records' analysis.
The clinical variables, the fasting plasma glucose, HbA1c (glycohemoglobin), creatinine, pre-and post-hemodialysis blood urea levels, glomerular filtration rate (GFR), systolic arterial pressure (SAP), diastolic arterial pressure (DAP), and body mass index (BMI) were obtained, too. Lastly, for the The data are shown as averages (X ), standard deviation ( 7 ) and frequency absolute and relative. χ 2 : chi-square; DL: degree of freedom; p o 0.05 ¼ level of significance. The data are shown as frequency absolute and relative. lifestyle variables, the physical activity, eating habits, alcohol consumption and smoking from all the 101 patients were characterized. The GFR was estimated by the Cockfrot-Gault formula, which considers the levels of creatinine, weight, and age. The criteria established by the American Diabetes Association [2] were used as a reference for the analyses. The data are shown as averages (X ), standard deviation ( 7). *p o 0.05 ¼ level of significance. These data were conducted following the ethics statement from the Helsinki Declaration and was approved by the Institutional Ethics Committee (No. 195/11 of Jun 27, 2011). All the participants signed a Free and Informed Consent Form.
Data about life, occupational history, smoking history, alcohol consumption, general health conditions, previous diseases, and other anamnesis were obtained during interviews with the patients. Only patients who had smoked for at least one year before the DM diagnostic were considered as smokers. For alcohol consumption, some individuals reported drinking only occasionally or socially.
The values for p o 0.05 was considered as statistically significant. All statistical analyses were conducted using RStúdio software (v.1.0.153).