
==== Front
BMC Nephrol
BMC Nephrol
BMC Nephrology
1471-2369
BioMed Central London

38730393
3597
10.1186/s12882-024-03597-9
Research
Laboratory-based surveillance of chronic kidney disease in people with private health coverage in Brazil
https://orcid.org/0000-0003-4393-7330
Samaan Farid farid_samaan@yahoo.com.br

123
https://orcid.org/0000-0003-1862-1772
Silveira Rubens Carvalho 4
https://orcid.org/0009-0002-7450-9208
Mouro Amilton 1
https://orcid.org/0000-0003-1317-4109
Kirsztajn Gianna Mastroianni 5
https://orcid.org/0000-0002-1062-0073
Sesso Ricardo 5
1 Department of High Complexity Patients, Hapvida NotreDame Intermédica, Rua Hipódromo, 987 - Mooca, São Paulo, SP 03164-140 Brazil
2 grid.419716.c 0000 0004 0615 8175 Secretaria de Estado da Saúde de São Paulo, São Paulo, SP Brazil
3 https://ror.org/04spxqa35 grid.417758.8 0000 0004 0615 7869 Instituto Dante Pazzanese de Cardiologia, São Paulo, SP Brazil
4 https://ror.org/036rp1748 grid.11899.38 0000 0004 1937 0722 Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, SP Brazil
5 https://ror.org/02k5swt12 grid.411249.b 0000 0001 0514 7202 Disciplina de Nefrologia, Universidade Federal de São Paulo, São Paulo, SP Brazil
10 5 2024
10 5 2024
2024
25 16216 10 2023
3 5 2024
© The Author(s) 2024
https://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Background

Although approximately 25% of Brazilians have private health coverage (PHC), studies on the surveillance of chronic kidney disease (CKD) in this population are scarce. The objective of this study was to estimate the prevalence of CKD in individuals under two PHC regimes in Brazil, who total 8,335,724 beneficiaries.

Methods

Outpatient serum creatinine and proteinuria results of individuals from all five regions of Brazil, ≥ 18 years of age, and performed between 10/01/2021 and 10/31/2022, were analyzed through the own laboratory network database. People with serum creatinine measurements were evaluated for the prevalence and staging of CKD, and those with simultaneous measurements of serum creatinine and proteinuria were evaluated for the risk category of the disease. CKD was classified according to current guidelines and was defined as a glomerular filtration rate (GFR) < 60 ml/min/1.73 m² estimated by the 2021 CKD-EPI equation.

Results

The number of adults with serum creatinine results was 1,508,766 (age 44.0 [IQR, 33.9–56.8] years, 62.3% female). The estimated prevalence of CKD was 3.8% (2.6%, 0.8%, 0.2% and 0.2% in CKD stages 3a, 3b, 4 and 5, respectively), and it was higher in males than females (4.0% vs. 3.7%, p < 0.001, respectively) and in older age groups (0.2% among 18-29-year-olds, 0.5% among 30-44-year-olds, 2.0% among 45-59-year-olds, 9.4% among 60-74-year-olds, and 32.4% among ≥ 75-year-olds, p < 0.001) Adults with simultaneous results of creatinine and proteinuria were 64,178 (age 57.0 [IQR, 44.8–67.3] years, 58.1% female). After adjusting for age and gender, 70.1% were in the low-risk category of CKD, 20.0% were in the moderate-risk category, 5.8% were in the high-risk category, and 4.1% were in the very high-risk category.

Conclusion

The estimated prevalence of CKD was 3.8%, and approximately 10% of the participants were in the categories of high or very high-risk of the disease. While almost 20% of beneficiaries with PHC had serum creatinine data, fewer than 1% underwent tests for proteinuria. This study was one of the largest ever conducted in Brazil and the first one to use the 2021 CKD-EPI equation to estimate the prevalence of CKD.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12882-024-03597-9.

Keywords

Epidemiology
Prevalence
Information systems in clinical laboratory
Chronic kidney disease
Supplementary health
issue-copyright-statement© BioMed Central Ltd., part of Springer Nature 2024
==== Body
pmcBackground

Chronic kidney disease (CKD) is a major global public health problem, as a common condition that is silent in its early stages, preventable, neglected in many places and costly for all health systems [1]. In developed countries, more than 10% of adults have some degree of CKD, and most of this prevalence is increasing [2]. The complications of CKD can be avoided or mitigated with adequate care, and screening and early treatment are cost-effective in the population at risk [3, 4]. Nations with universal health insurance coverage have 5–7% of their budgets consumed by kidney replacement therapy, which is the final phase of care for CKD [5]. Nevertheless, CKD is not a subject of the prioritized programs to combat chronic noncommunicable diseases (NCDs) in many countries, including Brazil [6]. Between 2008 and 2023, the expenditures of the Brazilian Unified Health System (SUS) on outpatient kidney replacement therapy increased from approximately 1.7 to 4.1 billion Brazilian reais (nearly 340 to 820 million US dollars) [7].

Only in theory does Brazil have clinical guidelines for comprehensive care of patients with CKD and specific ministerial ordinance for the operation of health services relevant to this care [8, 9]. In fact, national studies have shown several inadequacies in the early identification of CKD by primary health care and in the population’s access to consultations with a nephrologist and to CKD diagnosis and follow-up tests [10, 11]. Despite these gaps that are highly present in the Brazilian scenario, this country is one of the few places in the world with universal coverage for dialysis and kidney transplantation [12, 13]. Among the public health actions relevant to the secondary prevention of CKD, epidemiological surveillance stands out, especially given the asymptomatic nature of the early stages of this disease and that many of the traditional nephroprotective medications are low-cost and covered by SUS [14–16].

Brazil is a country with a dual health care system in which the public health care system coexists with private health care. Approximately 25% of the Brazilian population has PHC [17]. However, detailed information on programs to combat NCD or care for complex patients in private health care is scarce [18]. The objective of this study was to estimate the prevalence of CKD in individuals with PHC in Brazil.

Methods

Study design and population

This was a retrospective, cross-sectional study based on records of laboratory tests performed between 10/01/2021 and 10/31/2022 in the own laboratory network of two private health companies in Brazil. Together, these companies are national in scope and have a medical assistance portfolio consisting of approximately 8,335,724 beneficiaries [19]. Outpatient serum creatinine and proteinuria tests of individuals from all five regions of Brazil were analyzed. This country has 26 states, in addition to the federal district, and is divided into five large regions (Fig. 1). The exclusion criteria were tests from patients under 18 years of age and those performed in hospital and emergency settings.

Fig. 1 Map of Brazil according to five major regions

The study adhered to the Declaration of Helsinki and Resolution 466/2012 of the Brazilian National Health Council and was approved by the research ethics committee on 11/01/2022 under number 64260622.1.0000.8098. The free and informed consent form was waived because the study was observational, retrospective, noninterventional and large, making it impossible to communicate with all participants. The extraction of information from the database of the laboratories occurred between 12/01/2022 and 04/13/2023.

Data source, variables, and definitions

Demographic data of the participants (age, gender and collection site) and results of serum creatinine and urinary protein were obtained from laboratory records. In case of patients with two or more measurements of a given test, the lowest value available was used, to avoid overestimation of the prevalence and severity of CKD.

The estimated glomerular filtration rate (GFR) was calculated from serum creatinine, age, and gender using the 2021 CKD-EPI equation [20]. This equation was chosen because it is the most current and it does not require information on ethnicity, as race correction is no longer recommended and because the Brazilian population is highly mixed. CKD was defined as GFR < 60 ml/min/1.73 m² and was classified into stages 3a (45–59 ml/min/1.73 m²), 3b (30–44 ml/min/1.73 m²), 4 (15–29 ml/min/1.73 m²), and 5 (< 15 ml/min/1.73 m²) [21]. All the participating laboratories performed the serum creatinine tests with standardized methods.Proteinuria was assessed categorically. It was present in the case of any of the following: isolated urine albumin/creatinine ratio (ACR) > 30 mg/g, 24-hour albuminuria > 30 mg/24 h, or 24-hour proteinuria > 150 mg/24 h. The categories were mild (ACR < 30 mg/g, albuminuria < 30 mg/24 h, or proteinuria < 150 mg/24 h), moderate (ACR 30–300 mg/g, albuminuria 30–300 mg/24 h, or proteinuria 150–500 mg/24 h), and severe (ACR > 300 mg/g, albuminuria > 300 mg/24 h, or proteinuria > 500 mg/24 h) [21].

The representativeness of the sample in the regions of Brazil was calculated as the proportion between the number of adults who underwent the evaluated tests and the number of beneficiaries within each region. According to the historical series, the annual amount of serum creatinine tests performed is approximately 2,500,000, but the number of proteinuria measurements is less than 100,000.

Therefore, patients with serum creatinine measurements were evaluated for the prevalence of CKD and its stages, and those with simultaneous serum creatinine and proteinuria measurements were evaluated regarding the risk of CKD. According to the CKD heat map of KDIGO 2012 Clinical Practice Guideline (Kidney Disease Improving Global Outcomes), patients were considered to be at low risk when they had GFR ≥ 60 ml/min/1.73 m² and mild proteinuria. They were at moderate risk when they had GFR ≥ 60 ml/min/1.73 m² and moderate proteinuria or GFR 45–59 ml/min/1.73 m² and mild proteinuria. Patients were in the high-risk category for CKD when they had any of the following combinations: GFR ≥ 60 ml/min/1.73 m² and severe proteinuria, GFR 45–59 ml/min/1.73 m² and moderate proteinuria, or GFR 30–44 ml/min/1.73 m² and mild proteinuria. They were at very high-risk when they had GFR 45–59 ml/min/1.73 m² and severe proteinuria, GFR 30–44 ml/min/1.73 m² and moderate or severe proteinuria, or GFR < 30 ml/min/1.73 m² regardless of the level of proteinuria [21].

Data analysis

Initially, the distribution of participants by demographic variables (gender, age group, and region of Brazil) and laboratory results (GFR and proteinuria) was evaluated, and their respective 95% confidence intervals were calculated. The distribution of patients in the different GFR ranges was assessed according to gender, age, and region of Brazil. The intergroup distribution was assessed using the χ² test. The crude prevalence of CKD by region of Brazil was estimated as the proportion of the number of people with abnormal tests out of the total number of people who underwent that test. A risk map (or heat map) of CKD was drawn by crossing the GFR information and the proteinuria categories. Finally, the prevalence rates were adjusted for age and gender using the direct method, with the total study population as a reference. Statistical analyses were conducted using R version 4.2.1 software.

Results

Between 1 October 2021 and 31 October 2022, 3,520,678 serum creatinine measurements were recorded. After excluding tests performed in hospitals or emergency rooms (1,137,104), tests performed in people under 18 years of age (211,200), and duplicate tests (663,608), 1,508,766 adults were included for the estimation of CKD prevalence and staging. Among them, 64,178 (4.3%) had results of both serum creatinine and proteinuria, so this was the number evaluated for the risk categories of CKD (Fig. 2).

Fig. 2 Flowchart of inclusion of study participants. CKD, chronic kidney disease.

The adults evaluated by serum creatinine had a median age of 44.0 (33.9–56.8) years, were predominantly female (62.3%), and were from the Southeast region (45.9%). The prevalence of CKD, estimated as the proportion of people with GFR < 60 ml/min/1.73 m², was 3.79% (2.58% with CKD in stage 3a, 0.81% in stage 3b, 0.24% in stage 4, and 0.16% in stage 5). Participants who had both serum creatinine and proteinuria results were 57.0 (44.8–67.3) years old, and 58.1% were female. Their distribution of proteinuria categories was 76.4% mild or absent, 18.1% moderate, and 5.6% severe (Table 1).

Table 1 Characteristics of the patients included in the study

Variable	Number	Proportion (%) [95% CI]	
Gender	
 Male	569,206	37.73 [37.65; 37.80]	
 Female	939,560	62.27 [62.20; 62.35]	
Age group (years)	
 18–29	255,997	16.97 [16.91; 17.03]	
 30–44	524,640	34.77 [34.70; 34.85]	
 45–59	423,729	28.08 [28.01; 28.16]	
 60–74	230,436	15.27 [15.22; 15.33]	
 75 or older	73,964	4.90 [4.87; 4.94]	
Region of Brazil	
 North	105,365	6.98 [6.94; 7.02]	
 Northeast	538,083	35.66 [35.59; 35.74]	
 Midwest	75,053	4.97 [4.94; 5.01]	
 Southeast	692,055	45.87 [45.79; 45.95]	
 South	98,210	6.51 [6.47; 6.55]	
Range of GFR (ml/min/1.73 m²)	
 ≥ 60	1,451,552	96.21 [96.18; 96.24]	
 45–59	38,888	2.58 [2.55; 2.60]	
 30–44	12,276	0.81 [0.80; 0.83]	
 15–29	3,652	0.24 [0.23; 0.25]	
 < 15	2,398	0.16 [0.15; 0.17]	
Proteinuria	
 Mild	49,010	76.37 [76.03; 76.69]	
 Moderate	11,586	18.05 [17.76; 18.35]	
 Severe	3,582	5.58 [5.41; 5.76]	
CI, confidence interval. GFR, estimated glomerular filtration rate

Patients with serum creatinine values made up 18.1% of the total beneficiaries of with PHC (20.2% in the North, 24.2% in the Northeast, 13.9% in the Midwest, 15.2% in the Southeast, and 19.6% in the South). Patients with both serum creatinine and proteinuria data were 0.8% of the beneficiaries (0.7% in the Northeast, 0.4% in the North, 1.7% in the South, 0.8% in the Southeast, and 0.6% in the Midwest) (Table 2).

Table 2 Representativeness of the sample, according to the region of Brazil

Region of Brazil	Number of beneficiaries¹	People with serum creatinine measurement		People with measurement of proteinuria	
Number	Proportion (%)		Number	Proportion (%)	
North	521,609	105,365	20.2		2,276	0.4	
Northeast	2,223,483	538,083	24.2		14,685	0.7	
Midwest	539,950	75,053	13.9		3,104	0.6	
Southeast	4,552,993	692,055	15.2		35,774	0.8	
South	501,071	98,210	19.6		8,339	1.7	
Total	8,335,724	1,508,766	18.1		64,178	0.8	
¹December 2021

The proportion of males with GFR < 60 ml/min/1.73 m² was higher than that of females (4.03% versus 3.65%, p < 0.001), and the low-GFR proportion increased with age (0.17% among 18-29-year-olds, 0.53% among 30-44-year-olds, 1.98% among 45-59-year-olds, 9.4% among 60-74-year-olds, and 32.4% among ≥ 75-year-olds, p < 0.001). The distribution of the total sample in the various GFR ranges (in ml/min/1.73 m²) was 67.47% at ≥ 90, 28.73% at 60–89, 2.58% at 45–59, 0.81% at 30–44, 0.24% at 15–29, and 0.16% at < 15 (Table 3; Fig. 3).

Table 3 Distribution of patients in estimated glomerular filtration rate ranges according to gender, age, and region of Brazil (n = 1,508,766)

Variables	Estimated glomerular filtration rate, ml/min/1.73 m² (%)	Total	p value	
≥ 90	60–89	45–59	30–44	15–29	< 15	
Gender	Male	63.52	32.45	2.66	0.84	0.29	0.24	100.00	< 0.001	
Female	69.87	26.48	2.53	0.80	0.21	0.11	100.00	
Age group (years)	18–29	92.66	7.17	0.07	0.03	0.03	0.04	100.00	< 0.001	
30–44	80.40	19.06	0.31	0.08	0.05	0.09	100.00	
45–59	61.69	36.34	1.35	0.29	0.16	0.18	100.00	
60–74	37.67	52.94	6.86	1.71	0.50	0.33	100.00	
75 and over	14.61	52.99	21.06	8.96	1.97	0.41	100.00	
Region	North	78.82	19.15	1.24	0.41	0.18	0.20	100.00	< 0.001	
Northeast	75.34	22.08	1.71	0.56	0.18	0.14	100.00	
Midwest	66.66	29.98	2.35	0.66	0.23	0.12	100.00	
Southeast	60.28	34.61	3.50	1.11	0.31	0.18	100.00	
South	63.52	33.15	2.43	0.66	0.17	0.07	100.00	
Total	67.47	28.73	2.58	0.81	0.24	0.16	100.00		

Fig. 3 Estimated prevalence of chronic kidney disease according to gender, age, and region of Brazil (n = 1,508,766)

CKD, chronic kidney disease. Stage 3a, estimated glomerular filtration rate (GFR) 45–59 ml/min/1.73 m². Stage 3b, GFR 30–44 ml/min/1.73 m². Stage 4, GFR 15–29 ml/min/1.73 m². Stage 5, GFR < 15 ml/min/1.73 m².

The estimated crude prevalence of CKD was highest in the Southeast region (5.10%), followed by the Midwest (3.36%), South (3.33%), Northeast (2.59%), and North regions (2.03%). The age- and gender-adjusted prevalence of CKD was higher in the Midwest region (4.43%), followed by the Southeast (4.21%), South (3.77%), North (3.35%), and Northeast regions (3.02%) (Table 4).

Table 4 Median crude and adjusted CKD prevalence estimates by region of Brazil (n = 1,508,766)

Region	Age¹ (years)	Male gender (%)	Crude prevalence of CKD (%)	Adjusted prevalence of CKD² (%)	
North	40.0 (31.0–50.0)	35.25	2.03	3.35	
Northeast	42.0 (32.0–54.0)	35.65	2.59	3.02	
Midwest	41.0 (31.0–53.0)	35.32	3.36	4.43	
Southeast	47.1 (36.0-60.3)	40.10	5.10	4.21	
South	44.0 (33.6–56.0)	36.94	3.33	3.77	
Total	44.0 (3.9–56.8)	37.73	3.79	-	
¹ Median (interquartile)

² Adjusted for age and gender, using the total number of participants as the standard population

The proportion of males with proteinuria was higher than that of females (26.08% versus 21.87%, p < 0.001). There was no progressive increase in the prevalence of proteinuria with age. The distribution of the total sample in levels of proteinuria was 76,37% at mild, 18.05% at moderate, and 5.58% at severe level (Table 5).

Table 5 Distribution of patients in levels of proteinuria according to gender, age and region of Brazil (n = 64,178)

Variables	Level of proteinuria (%)	Total	p value	
Mild	Moderate	Severe	
Gender	Male	73,92	18,87	7,22	100.00	< 0.001	
Female	78,13	17,46	4,40	100.00	
Age group (years)	18–29	71,06	22,80	6,15	100.00	< 0.001	
30–44	75,32	19,58	5,11	100.00	
45–59	79,84	15,26	4,90	100.00	
60–74	75,94	17,86	6,20	100.00	
75 and over	71,64	21,98	6,38	100.00	
Region	North	77,46	17,71	4,83	100.00	< 0.001	
Northeast	89,66	7,94	2,40	100.00	
Midwest	90,91	7,44	1,64	100.00	
Southeast	68,96	23,44	7,60	100.00	
South	79,01	16,79	4,20	100.00	
Total	68.93	76,37	18,05	5,58		

According to the CKD risk map, the crude prevalence of patients with low, moderate, high and very high-risk categories for the disease was 68.9%, 19.4%, 6.6% and 5.1%, respectively. After adjusting for age and gender, these prevalences were: 70.1%, 20.0%, 5.8% and 4.1%, respectively (Fig. 4).

Fig. 4 Crude (A) and adjusted (B) distribution of patients according to the CKD risk map (n = 64,178)

CKD, chronic kidney disease. A, Gross distribution. B, Distribution adjusted for age and gender. GFR, estimated glomerular filtration rate. Mild proteinuria, albumin/creatinine ratio (ACR) < 30 mg/g or 24-hour albuminuria (24-hour ALB) < 30 mg or 24-hour proteinuria (24-hour PTU) < 150 mg. Moderate, ACR 30–300 mg/g or 24-hour ALB 30–300 mg or 24-hour PTU 150–500 mg. Severe, ACR > 300 mg/g or 24-hour ALB > 300 mg or 24-hour PTU > 500 mg.

Discussion

The present study showed that the prevalence of CKD in beneficiaries with PHC in Brazil was 3.8%, according to the GFR estimated by the 2021 CKD-EPI equation. After adjusting for age and gender, this prevalence was higher in the Midwest and Southeast and lower in the North and Northeast of Brazil. While 18.1% of the beneficiaries were tested for serum creatinine, only 0.8% underwent measurement of proteinuria. Among them, approximately 10% were at high or very high-risk categories of CKD.

In recent decades, several studies have estimated the prevalence of CKD (Table 6 S) [22–44]. The great variability of results (0.8–32.5%) is due, among other factors, to the population profile (age, comorbidities), the data sources (telephone survey, disease codes, screening programs, population-based studies, laboratory databases), and the definitions of CKD used (reduced GFR with or without altered proteinuria).

The estimated prevalence of CKD of 3.8% found in the present study was higher than that found in studies based on telephone surveys (1.4%) [22, 41] and by registering disease codes (0.8%) [29]. This might have been due to the silent nature of the early stages of CKD, which leads to low awareness among the population about the disease and identification failures of it by health professionals [35]. This fact reinforces the need for screening for CKD in people at risk by measuring serum creatinine and proteinuria [8, 9, 21].

On the other hand, our prevalence of 3.8% was lower than the estimates of CKD prevalence from screening programs (8.9–32.5%), which generally include individuals with risk factors for the disease, such as hypertension, diabetes mellitus, and cardiovascular diseases [25, 26, 28, 33, 35, 36, 38, 39]. Another explanation for the lower prevalence of CKD found in this study might be the fact that we enrolled individuals with PHC, who might have a lower age and burden of comorbidities and better socioeconomic conditions, since they are mostly economically active people with a corporate-type PHC. Unfortunately, detailed information on the comorbidity profile of our population was not available.

When compared to studies based on disease code registration and screening programs, it is possible that population-based studies [342,37,40,42,43] and those based on laboratory databases [23, 24, 27, 29–32, 44] can include individuals with lower disease burdens. Even so, the prevalence of CKD found in this study (3.8%) was lower than that in previous studies of the same nature (5.6–12.4%). Possible explanations would be the lower mean age of the participants in our study and the use of the 2021 CKD-EPI equation rather than the 2009 equation. In fact, older age is an important risk factor for reduced GFR, and the 2021 CKD-EPI equation may overestimate the GFR by 3–5 ml/min/1.73 m² when compared to the 2009 CKD-EPI Eqs. [21, 45, 46]. In our population, when the 2009 CKD-EPI equation was applied, the prevalence of CKD was estimated at 5.1% (Table 7 S). In addition, the definition of CKD used in this study considered only reduced GFR, as a very small proportion of people in Brazil are routinely tested for proteinuria. This fact constitutes a serious flaw in the implementation of the line of care for CKD in our country, which has already been pointed out by previous national studies [10, 11]. Thus, participants with preserved GFR and present proteinuria were not counted as having CKD.

In our study, the estimated prevalence of CKD was slightly higher in males than in females. On this matter, the previous reports show discordant results. Women could have more CKD than men due to their smaller nephron mass and greater chance of early diagnosis, since in many cultures women are more conscientious about their health than men [23, 25, 28, 31–33, 37, 43–45, 47–49]. On the other hand, men might have a higher prevalence of CKD due to their higher frequency of hypertension and proteinuria [24, 26, 39].

The regional differences found after adjustment for age and gender could not be analysed in detail due to the unavailability of information on the patients’ morbidities. It might be that individuals from the North and Northeast regions of Brazil have a lower prevalence of CKD due to the lower prevalence of hypertension, diabetes, and obesity, as shown in a national telephone survey [50].

The result of 24% of patients with proteinuria and 10% of patients at high or very high-risk categories of CKD found in this cohort is higher than the estimative of previous studies [10, 35]. Possibly patients of our study with proteinuria test requests were sicker than the population with serum creatinine dosages. In fact, the crude prevalence of high or very high-risk categories of CKD was higher than the age- and gender adjusted prevalence.

Some limitations of this study should be acknowledged, such as the unavailability of information on the participants’ comorbidities, the impossibility of using two serum creatinine results in the same individuals to confirm the diagnosis of CKD, and the noninclusion of proteinuria measurement in the assessment of the prevalence of CKD. Nevertheless, the importance of this study lies in its size (one of the largest ever conducted in Brazil), in the national representativeness of individuals with PHC (approximately one-fifth of the beneficiaries were tested for serum creatinine), and because it is the first Brazilian study to use the 2021 CKD-EPI equation to estimate the prevalence of CKD.

Conclusions

In this Brazilian national study of individuals with PHC, we found a prevalence of CKD of 3.8%, a deficiency of proteinuria screening, and approximately 10% of participants with high or very high-risk for such disease. These results provide relevant information on various strata of the Brazilian population with PHC and serve as a basis for planning interventions aimed at early diagnosis and care of CKD.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Supplementary Material 2

Acknowledgements

Not applicable.

Author contributions

F.S. was responsible for conceptualizing the study, methodology, project administration, formal analysis and writing the original draft. R.C.S. was responsible for statistical analysis, formal analysis, validation, review and editing. AM. was responsible for data curation and validation. G.M.K. and R.S. were responsible for oversight and provided critical review of the draft. All authors approved the final version of the manuscript.

Funding

This study was financed with the authors’ own resources.

Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Declarations

Ethics approval and consent to participate

The study was approved by the research ethics committee Invitare Pesquisa Clínica e Auditoria (https://www.invitare.com.br/site/). This committee authorized a waiver of consent due to the study being retrospective, non-interventionist, large in size and the impossibility of communicating with all participants (ethical presentation certificate number 64260622.1.0000.8098).

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Abbreviations

24-hour ALB 24-hour albuminuria

24-hour PTU 24-hour proteinuria

ACR Urine albumin/creatinine ratio

CI Confidence interval

CKD Chronic kidney disease

GFR Glomerular filtration rate

NCDs Noncommunicable diseases

PHC Private health coverage

SUS Brazilian Unified Health System

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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