Prevalence of chronic kidney disease in Brazilians with arterial hypertension and/or diabetes mellitus.
Luma de Oliveira CominiLaura Camargo de OliveiraLuiza Delazari BorgesHeloísa Helena DiasClara Regina Santos BatistelliEmily de Souza FerreiraLuciana Saraiva da SilvaTiago Ricardo MoreiraGlauce Dias da CostaRodrigo Gomes da SilvaRosângela Minardi Mitre CottaPublished in: Journal of clinical hypertension (Greenwich, Conn.) (2020)
The present study aimed to evaluate the prevalence of chronic kidney disease (CKD) in individuals with arterial hypertension (AH) and/or diabetes mellitus (DM) accompanied by Primary Health Care (PHC) in Brazil. The estimated glomerular filtration rate (eGFR) based on creatinine, and urinary albumin-to-creatinine ratio (ACR) were measured in 841 subjects with AH and/or DM, followed by PHC in the city of Viçosa. The CKD was diagnosed according to KDIGO criteria. Sociodemographic, clinical, and anthropometric factors related to the prevalence of CKD were investigated through multiple logistic regression. The prevalence of hidden CKD was 15.4%. Of these, 7.5% were identified by albuminuria (ACR ≥30 mg/g) with slightly decreased eGFR. Age, baseline disease, waist circumference (WC), and systolic blood pressure remained associated with CKD after multivariate analysis. The two major risk factors for hidden CKD were the presence of AH in association with DM and an increase in age. Hidden CKD was more common within people with AH and DM, and with high WC, glycosylated hemoglobin, and serum phosphorus as well as male gender and decreased serum albumin. This knowledge of risk associations can help avoid progression to CKD.
Keyphrases
- chronic kidney disease
- end stage renal disease
- arterial hypertension
- blood pressure
- risk factors
- small cell lung cancer
- body mass index
- healthcare
- glycemic control
- epidermal growth factor receptor
- left ventricular
- obstructive sleep apnea
- type diabetes
- heart failure
- tyrosine kinase
- mental health
- body composition
- heart rate
- physical activity
- weight loss
- heavy metals
- single molecule
- data analysis
- sleep apnea