| Literature DB >> 35685314 |
Ikechi G Okpechi1,2,3, Fergus J Caskey4, Abduzhappar Gaipov5, Elliot K Tannor6,7, Jean Jacques Noubiap8, Emmanuel Effa9,10, Udeme E Ekrikpo11, Laura N Hamonic12, Gloria Ashuntantang13, Aminu K Bello1, Jo-Ann Donner14, Ana E Figueiredo15, Reiko Inagi16, Magdalena Madero17, Charu Malik14, Monica Moorthy14, Roberto Pecoits-Filho18,19, Vladimir Tesar20, Adeera Levin21, Vivekanand Jha22,23,24.
Abstract
Introduction: Decisions on whether to screen for chronic kidney disease (CKD) or not remain contentious in nephrology. This study provides a global overview of early CKD identification efforts.Entities:
Keywords: chronic kidney disease; early detection; estimated glomerular filtration rate; intervention; measurement; screening
Year: 2022 PMID: 35685314 PMCID: PMC9171699 DOI: 10.1016/j.ekir.2022.03.031
Source DB: PubMed Journal: Kidney Int Rep ISSN: 2468-0249
Overall features of included studies
| Demographic characteristics of included studies | Measurements used, interventions reported, cost, and availability of early detection policies in countries of included studies | ||
|---|---|---|---|
| Variables | Variable | ||
| Gender, males, median (IQR) | 44.6 (35.9–52.3) | Number of measurements | |
| ISN regions | Once | 232 (80.0) | |
Africa | 81 (27.9) | Twice or more (>1 mo apart) | 58 (20.0) |
East and Central Europe | 21 (7.2) | Types of measurements | |
Latin America | 28 (9.7) | Serum creatinine/eGFR + urine dipsticks/UACR | 207 (71.4) |
Middle East | 13 (4.5) | Serum creatinine/eGFR only | 43 (14.8) |
North America and Caribbean | 25 (8.6) | Dipsticks or UACR only | 40 (13.8) |
NIS and Russia | 2 (0.7) | Cystatin C | 3 (1.0) |
North and East Asia | 37 (12.8) | Method of Serum creatinine measurement | |
Oceania and South-East Asia | 16 (5.5) | Jaffe | 76 (30.4) |
South Asia | 39 (13.4) | Enzymatic | 19 (7.6) |
Western Europe | 28 (9.7) | Jaffe and enzymatic | 1 (0.4) |
| Income groups | Not reported | 99 (39.6) | |
Low-income countries | 25 (8.6) | IDMS traceable serum creatinine (yes) | 36 (14.4) |
Lower-middle-income countries | 111 (38.3) | CKD equations for reporting CKD | |
Upper-middle-income countries | 63 (21.7) | CKD-EPI | 85 (29.3) |
High-income countries | 91 (31.4) | Cockcroft-Gault | 30 (10.3) |
| Type of early detection program | MDRD | 150 (51.7) | |
Mass screening | 183 (63.1) | Other (e.g., Japanese eGFR equation) | 3 (1.0) |
Targeted screening | 107 (36.9) | CKD staging used (yes) | 162 (5.9) |
| Study setting: | Interventions | ||
Rural | 36 (12.4) | Medication use reported | 45 (15.5) |
Urban | 110 (37.9) | RAAS blockade use reported | 30 (10.3) |
Mixed | 85 (29.3) | Lifestyle measures instituted | 20 (6.9) |
Not reported | 59 (20.3) | Any pharmacotherapy instituted | 8 (2.8) |
| Duration of study: | Referral to physicians | 139 (47.9) | |
<3 mo | 36 (12.4) | Cost measures reported (yes) | 5 (1.7) |
3–12 mo | 75 (25.9) | Policy on CKD early detection | |
˃12 mo | 84 (29.0) | Yes | 25 (30.1) |
Not reported | 95 (32.8) | No | 21 (25.3) |
| Purpose of study | Uncertain | 37 (44.6) | |
Awareness | 55 (19.0) | ||
CKD screening | 283 (97.6) | ||
Risk factors screening | 169 (58.3) | ||
Screening + treatment | 7 (2.4) | ||
| Study design | |||
Cross-sectional | 246 (84.8) | ||
Prospective | 17 (5.9) | ||
Database review | 34 (11.7) | ||
| Study investigators | |||
Physicians | 131 (45.2) | ||
Nurses | 59 (20.3) | ||
Laboratory technicians | 8 (2.8) | ||
Community health workers + others | 34 (11.7) | ||
CKD, chronic kidney disease; CKD-EPI, Chronic Kidney Disease-Epidemiology Collaboration; eGFR, estimated glomerular filtration rate; IQR, interquartile range; IDMS, isotope dilution mass spectrometry; MDRD, Modification of Diet in Renal Disease; NIS, newly independent state; RAAS, renin-angiotensin-aldosterone system; UACR, urine albumin-to-creatinine ratio.
Figure 1Demographic features of included studies by ISN regions. CKD, chronic kidney disease; NIS, newly independent states.
CKD prevalence estimates and estimates of numbers needed to screen to identify 1 case of CKD (eGFR <60 ml/min per 1.73 m2) from included studies
| Variables | Prevalence (%) [median (IQR)] | Median numbers needed to screen (IQR) |
|---|---|---|
| CKD prevalence [all studies] ( | 8.8 (4.3–16.1) | 11 (6–23) |
| CKD prevalence [population-based] ( | 8.0 (3.0–11.4) | 13 (9–33) |
| CKD prevalence [targeted screenings] | ||
All targeted screenings | 14.8 (6.4–25.5) | 7 (4–16) |
Populations with hypertension ( | 28.3 (24.9–44.5) | 4 (2–4) |
Elderly population ( | 26.9 (13.9–35.5) | 4 (3–7) |
Population with diabetes mellitus ( | 21.1 (15.5–25.5) | 5 (4–7) |
Relatives of patients with CKD ( | 10.8 (5.3–18.8) | 9 (5–19) |
Populations with HIV ( | 8.4 (2.4–11.5) | 12 (9–42) |
Other targeted populations | 8.4 (5.1–19.9) | 12 (5–20) |
| Albuminuria prevalence | ||
Overall ( | 12.5 (6.7–17.2) | 8 (6–15) |
Population-based studies ( | 11.2 (6.0–17.2) | 9 (6–17) |
Studies with targeted screening ( | 17.9 (10.9–33.4) | 6 (3–9) |
Populations with hypertension ( | 11.8 (9.3–13.4) | 9 (8–11) |
Elderly population ( | 23.0 (19.5–26.5) | 4 (4– 5) |
Population with diabetes mellitus ( | 32.7 (19.1–39.8) | 3 (2–5) |
Relatives of patients with CKD ( | 15.1 (6.7–26.6) | 7 (4–15) |
Populations with HIV ( | 9.8 (8.8–20.1) | 10 (5–11) |
Other targeted populations | 17.1 (8.9–23.8) | 6 (4–11) |
CKD, chronic kidney disease; eGFR, estimated glomerular filtration rate; IQR, interquartile range.
Number needed to screen was calculated as 1/(prevalence in %/100).
Taxi drivers, school teachers, civil servants, military recruits, people experiencing homelessness, etc.
Figure 2Features of early detection studies based on screening method. C-G, Cockcroft-Gault; CKD-EPI, Chronic Kidney Disease-Epidemiology Collaboration; eGFR, estimated glomerular filtration rate; MDRD, Modification of Diet in Renal Disease. ∗Represents urine dipsticks only or urine albumin-to-creatinine ratio only.
Characteristics of CKD screening studies by ISN region
| Variables | Africa | EC Europe | Latin America | Middle East | North America and Caribbean | NIS and Russia | North-East Asia | OSEA | South Asia | Western Europe |
|---|---|---|---|---|---|---|---|---|---|---|
| Male gender (%): median (IQR) | 40.1 (30.7–49.1) | 40.9 (27.4–46.0) | 41.0 (29.3–47.9) | 46.9 (36.8–54.9) | 39.1 (35.4–47.9) | 33.9 (24.0–43.7) | 48.2 (39.2–54.7) | 49.5 (42.1–53.8) | 51.2 (42.9–61.8) | 47.2 (45.6–55.4) |
| Study setting | ||||||||||
Rural | 10 (12.3) | 1 (4.8) | 5 (17.9) | 2 (15.4) | 3 (12.0) | 0 (0.0) | 4 (10.8) | 2 (12.5) | 9 (23.1) | 0 (0.0) |
Urban | 36 (44.4) | 4 (19.0) | 14 (50.0) | 3 (23.1) | 12 (48.0) | 1 (50.0) | 11 (29.7) | 1 (6.3) | 16 (41.0) | 12 (42.9) |
Mixed urban + rural | 26 (32.1) | 8 (38.1) | 6 (21.4) | 2 (15.4) | 5 (20.0) | 1 (50.0) | 10 (27.0) | 9 (56.3) | 9 (23.1) | 9 (32.1) |
Not reported | 9 (11.1) | 8 (38.1) | 3 (10.7) | 6 (42.6) | 5 (20.0) | 0 (0.0) | 12 (32.4) | 4 (25.0) | 5 (12.8) | 7 (25.0) |
| Place of study: | ||||||||||
Community | 46 (56.8) | 15 (71.4) | 21 (75.0) | 6 (46.2) | 20 (80.0) | 1 (50.0) | 35 (94.6) | 14 (87.5) | 30 (76.9) | 18 (64.3) |
Health-facility based | 35 (43.2) | 5 (23.8) | 6 (21.4) | 7 (53.8) | 5 (20.0) | 1 (50.0) | 2 (5.4) | 2 (12.5) | 8 (20.5) | 9 (32.1) |
Not reported | 0 (0.0) | 1 (4.8) | 1 (3.6) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 1 (2.6) | 1 (3.6) |
| Study design: | ||||||||||
Cross-sectional | 75 (92.6) | 15 (71.4) | 23 (82.1) | 11 (84.6) | 22 (88.0) | 2 (100.0) | 32 (86.5) | 14 (87.5) | 33 (84.6) | 19 (67.9) |
Prospective | 2 (2.5) | 1 (4.8) | 2 (7.1) | 0 (0.0) | 1 (4.0) | 0 (0.0) | 0 (0.0) | 2 (12.5) | 2 (5.1) | 7 (25.0) |
Database review | 5 (6.2) | 4 (19.0) | 3 (10.7) | 2 (15.4) | 4 (16.0) | 0 (0.0) | 5 (13.5) | 2 (12.5) | 4 (10.3) | 5 (17.9) |
| CKD prevalence | ||||||||||
Mass screening | 3.2 (2.3–10.7) | 7.6 (5.8–9.0) | 7.0 (4.0–13.1) | 6.2 (6.0–6.3) | 11.7 (9.5–17.0) | 28.7 | 4.1 (2.5–10.3) | 8.7 (7.3–9.0) | 9.1 (5.9–11.4) | 8.2 (5.2–8.9) |
Targeted screening | 13.6 (6.5–27.0) | 21.5 (14.9–26.9) | 8.9 (5.1–27.4) | 4.7 (4.6–6.8) | 20.5 (9.5–27.8) | NA | 19.9 (13.9–28.9) | 41.2 (31.8–50.6) | 6.9 (4.8–8.1) | 16.7 (11.6–23.2) |
| Study duration | ||||||||||
<3 mo | 20 (24.7) | 0 (0.0) | 3 (10.7) | 0 (0.0) | 2 (8.0) | 0 (0.0) | 2 (5.4) | 0 (0.0) | 8 (20.5) | 1 (3.6) |
3–12 mo | 21 (25.9) | 4 (19.0) | 8 (28.6) | 6 (46.2) | 7 (28.0) | 0 (0.0) | 13 (35.1) | 4 (25.0) | 10 (25.6) | 2 (7.1) |
˃12 mo | 15 (18.5) | 1 (4.8) | 11 (39.3) | 1 (7.7) | 11 (44.0) | 1 (50.0) | 12 (32.4) | 6 (37.5) | 10 (25.6) | 16 (57.1) |
Not reported | 25 (30.9) | 16 (76.2) | 6 (21.4) | 6 (46.2) | 5 (20.0) | 1 (50.0) | 10 (27.0) | 6 (37.5) | 11 (28.2) | 9 (32.1) |
| Purpose of study: | ||||||||||
Awareness | 8 (9.9) | 6 (28.6) | 5 (17.9) | 2 (15.4) | 9 (36.0) | 0 (0.0) | 11 (29.7) | 5 (31.1) | 5 (12.8) | 4 (14.3) |
CKD detection | 81 (100.0) | 21 (100.0) | 27 (96.4) | 13 (100.0) | 24 (96.0) | 1 (50.0) | 36 (97.3) | 15 (93.8) | 39 (100.0) | 26 (92.9) |
Risk factors detection | 49 (60.5) | 14 (66.7) | 18 (64.3) | 9 (69.2) | 13 (52.0) | 1 (50.0) | 23 (62.2) | 8 (50.0) | 25 (64.1) | 9 (32.1) |
Detection + intervention | 1 (1.2) | 1 (4.8) | 0 (0.0) | 0 (0.0) | 1 (4.0) | 0 (0.0) | 0 (0.0) | 2 (12.5) | 1 (2.6) | 1 (3.6) |
| Investigators | ||||||||||
Physicians | 27 (33.3) | 9 (42.9) | 15 (53.6) | 5 (38.5) | 16 (64.0) | 0 (0.0) | 18 (48.6) | 8 (50.0) | 14 (35.9) | 19 (67.9) |
Nurses | 21 (25.9) | 0 (0.0) | 10 (35.7) | 3 (23.1) | 6 (24.0) | 0 (0.0) | 6 (16.2) | 3 (18.8) | 8 (20.5) | 2 (7.1) |
Laboratory technicians | 1 (1.2) | 0 (0.0) | 5 (17.9) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 1 (6.3) | 1 (2.6) | 0 (0.0) |
Community health workers | 6 (7.4) | 1 (4.8) | 5 (17.9) | 0 (0.0) | 6 (24.0) | 1 (50.0) | 4 (10.8) | 1 (6.3) | 10 (25.6) | 0 (0.0) |
| CKD equation used | ||||||||||
CKD-EPI | 30 (37.0) | 8 (38.1) | 8 (28.6) | 4 (30.8) | 9 (36.0) | 1 (50.0) | 8 (21.6) | 3 (18.8) | 8 (20.5) | 6 (21.4) |
Cockcroft-Gault | 12 (14.8) | 2 (9.5) | 0 (0.0) | 3 (23.1) | 0 (0.0) | 0 (0.0) | 3 (8.1) | 1 (6.3) | 7 (17.9) | 2 (7.1) |
MDRD | 40 (49.4) | 14 (66.7) | 13 (46.4) | 6 (46.2) | 9 (36.0) | 0 (0.0) | 21 (56.8) | 7 (43.8) | 26 (66.7) | 14 (40.0) |
Japanese equation | - | - | - | - | - | - | 3 (8.1) | - | - | - |
| Number of measurements performed | ||||||||||
Once | 71 (87.7) | 16 (76.2) | 21 (75.0) | 8 (61.5) | 19 (76.0) | 2 (100.0) | 30 (81.1) | 10 (62.5) | 33 (84.6) | 22 (78.6) |
≥2 (>1 mo apart) | 10 (12.3) | 5 (23.8) | 7 (25.0) | 5 (38.5) | 6 (24.0) | 0 (0.0) | 7 (18.9) | 6 (37.5) | 6 (15.4) | 6 (21.4) |
| Types of measurements used | ||||||||||
eGFR + dipsticks/UACR | 62 (76.5) | 16 (76.2) | 21 (75.0) | 6 (46.2) | 18 (72.0) | 0 (0.0) | 31 (83.8) | 9 (56.3) | 32 (82.1) | 12 (42.9) |
eGFR only | 9 (11.1) | 5 (23.8) | 2 (7.1) | 4 (30.8) | 3 (12.0) | 1 (50.0) | 4 (10.8) | 3 (18.8) | 3 (7.7) | 8 (28.6) |
Dipsticks/UACR only | 10 (12.3) | 0 (0.0) | 5 (17.9) | 2 (15.4) | 4 (16.0) | 1 (50.0) | 2 (5.4) | 4 (25.0) | 4 (10.3) | 8 (28.6) |
| Interventions | ||||||||||
Medication use reported | 9 (11.1) | 5 (23.8) | 3 (10.7) | 2 (15.4) | 4 (16.0) | 0 (0.0) | 3 (8.1) | 4 (25.0) | 2 (5.1) | 13 (46.4) |
RAAS blockade use reported | 5 (6.2) | 6 (28.6) | 3 (10.7) | 1 (7.7) | 3 (12.0) | 0 (0.0) | 1 (2.7) | 2 (12.5) | 1 (2.6) | 8 (28.6) |
Lifestyle measures instituted | 2 (2.5) | 1 (4.8) | 2 (7.1) | 0 (0.0) | 6 (24.0) | 0 (0.0) | 3 (8.1) | 3 (18.8) | 1 (2.6) | 2 (7.1) |
Any pharmacotherapy instituted | 0 (0.0) | 1 (4.8) | 1 (3.6) | 1 (7.7) | 1 (4.0) | 0 (0.0) | 0 (0.0) | 1 (6.3) | 2 (5.1) | 1 (3.6) |
Referral to physicians | 34 (42.0) | 8 (38.1) | 18 (64.3) | 8 (61.5) | 18 (72.0) | 0 (0.0) | 13 (35.1) | 9 (56.3) | 19 (48.7) | 12 (42.9) |
| Cost measures reported | 0 (0.0) | 1 (4.8) | 1 (3.6) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 2 (12.5) | 1 (2.6) | 0 (0.0) |
| Policies available for CKD early detection | ||||||||||
Yes | 3 (13.0) | 1 (9.1) | 4 (44.4) | 1 (16.7) | 2 (50.0) | 1 (100.0) | 2 (40.0) | 5 (83.3) | 1 (16.7) | 5 (41.7) |
No | 6 (26.1) | 5 (45.5) | 0 (0.0) | 3 (50.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 5 (83.3) | 2 (16.7) |
Uncertain | 14 (60.9) | 5 (45.5) | 5 (55.6) | 2 (33.3) | 2 (50.0) | 0 (0.0) | 3 (60.0) | 1 (16.7) | 0 (0.0) | 5 (41.7) |
CKD, chronic kidney disease; CKD-EPI, chronic kidney disease-epidemiology collaboration; EC Europe, East and Central Europe; eGFR, estimated glomerular filtration rate; IQR, interquartile range; MDRD, Modification of Diet in Renal Disease; NIS, newly independent state; OSEA, Oceania and Southeast Asia; RAAS, renin-angiotensin-aldosterone system; UACR, urine albumin-to-creatinine ratio.