| Literature DB >> 36217525 |
Raja Ramachandran1, Shabna Sulaiman2, Prabhat Chauhan3, Ifeoma Ulasi4,5, Ugochi Onu4, Russell Villaneuva6, Muhammad Rafiqul Alam7, Fazal Akhtar8, Lloyd Vincent9, Gurmehar S Aulakh10, Aida Lydia Sutranto11,12, Elena Zakharova13,14,15, Vivekanand Jha16,17,18.
Abstract
Introduction: Glomerular diseases are the leading drivers of nondiabetic chronic kidney disease disability-adjusted life years in resource-limited countries. Proper diagnosis and treatment relies on resources including kidney biopsy, ancillary testing, and access to evidence-based therapies.Entities:
Keywords: Africa; Asia; glomerular diseases; glomerulonephritis; kidney biopsy; low and middle income countries
Year: 2022 PMID: 36217525 PMCID: PMC9546742 DOI: 10.1016/j.ekir.2022.07.002
Source DB: PubMed Journal: Kidney Int Rep ISSN: 2468-0249
Respondent characteristics
| Total | Africa | Asia | Eastern Europe | |
|---|---|---|---|---|
| Age distribution (yrs) | ( | ( | ( | ( |
| < 30 | 3 (1.1%) | 0 (0.0%) | 3 (1.9%) | 0(0.0%) |
| 30–39 | 93 (34.6%) | 33 (31.8%) | 58 (36.5%) | 2(33.3%) |
| 40–49 | 98 (36.5%) | 49 (47.1%) | 48(30.2%) | 1(16.7%) |
| 50–59 | 48 (17.8%) | 16 (15.4%) | 30 (18.8%) | 2(33.3%) |
| >60 | 27 (10.0%) | 06 (5.7%) | 20 (12.6%) | 1(16.7%) |
| Work experience in yrs | ( | ( | ( | ( |
| < 5 yrs | 55 (20.4%) | 20 (19.2%) | 34 (21.4%) | 1(16.7%) |
| 5–10 | 89 (33.1%) | 42 (40.4%) | 45 (28.3%) | 2 (33.3%) |
| 11–20 | 68 (25.3%) | 26 (25.0%) | 42 (26.4%) | 0 (0.0%) |
| More than 20 | 57 (21.2%) | 16 (15.4%) | 38 (23.9%) | 3 (50%) |
| Type of practice | ( | ( | ( | ( |
| Academic/university hospital | 180 (66.9%) | 88 (84.6%) | 87 (54.8%) | 5 (83.3%) |
| Private hospital | 58 (21.6%) | 7 (6.7%) | 50 (31.4%) | 1 (16.7%) |
| Solo practice | 19 (7.0%) | 4 (3.9%) | 15 (9.4%) | 0 (0.0%) |
| Group practice | 12 (4.5%) | 05 (4.8%) | 07 (4.4%) | 0 (0.0%) |
| Who performs kidney biopsy | ( | ( | ( | ( |
| Nephrologist | 230 (85.5%) | 84 (80.8%) | 145 (91.2%) | 1 (16.6%) |
| Others | 15 (5.6%) | 03 (2.9%) | 08 (5.0%) | 4 (66.8%) |
| Biopsy not performed | 24 (8.9%) | 17 (16.3%) | 06 (3.8%) | 1 (16.6%) |
| Total | Africa | Asia | Eastern Europe |
Kidney biopsy details
| Total | Africa | Asia | Others | |
|---|---|---|---|---|
| Proportion getting kidney biopsy when indicated | ( | ( | ( | ( |
| <10% | 72 (28.8%) | 66 (50.4%) | 05 (4.5%) | 1 (16.7%) |
| 10–25% | 48 (19.2%) | 30 (22.9%) | 17 (15.0%) | 1 (16.7%) |
| 26–50% | 32 (12.8%) | 14 (10.7%) | 17 (15.0%) | 2 (33.3%) |
| >50% | 98 (39.2%) | 21 (16.0%) | 74 (65.5%) | 2 (33.3%) |
| No of kidney biopsies in a month | ( | ( | ( | ( |
| Not done | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
| 0–5 | 117 (45.2%) | 67 (66.3%) | 49 (32.0%) | 1(20%) |
| 5–10 | 62 (23.9%) | 21 (20.8%) | 39 (25.5%) | 2 (40%) |
| More than 10 | 80 (30.9%) | 13 (12.9%) | 65 (42.5%) | 2 (40%) |
| Mean turn-around time (ds) | ( | ( | ( | ( |
| < 3 | 48 (18.7%) | 05 (5.0%) | 42 (27.4%) | 1(20%) |
| 3–7 | 96 (37.3%) | 17 (17.2%) | 78 (51.0%) | 1(20%) |
| 8–14 | 72 (28.0%) | 42 (42.4%) | 28 (18.3%) | 2 (40%) |
| >14 | 41 (16.0%) | 35 (35.4%) | 05 (3.3%) | 1 (20%) |
| Location of the nephro-pathology service | ( | ( | ( | ( |
| In my hospital | 106 (41.9%) | 44 (45.4%) | 62 (41.0%) | 0 (0%) |
| In my city | 54 (21.3%) | 11 (11.3%) | 38 (25.2%) | 5 (100%) |
| Another city | 54 (21.3%) | 14 (14.4%) | 40 (26.5%) | 0 (0%) |
| Overseas | 39 (15.5%) | 28 (28.9%) | 11 (7.3%) | 0 (0%) |
| Biopsies processed | ( | ( | ( | ( |
| LM only | 41 (16.7%) | 38 (42.7%) | 03 (2.0%) | 0 (0%) |
| LM and IF | 98 (39.8%) | 25 (28.1%) | 69 (45.4%) | 4 (80%) |
| LM, IF and EM | 107 (43.5%) | 26 (29.2%) | 80 (52.6%) | 1 (20%) |
| Proportion of biopsies evaluated by IF/IHC | ( | ( | ( | ( |
| <10% | 59 (23.5%) | 52 (55.4%) | 06 (3.9%) | 1 (20%) |
| 11–50% | 20 (7.9%) | 10 (10.6%) | 10 (6.5%) | 0 (0%) |
| 50–75% | 16 (6.3 %) | 07 (7.4%) | 09 (5.9%) | 0 (0%) |
| >75% | 157 (62.3%) | 25 (26.6%) | 128 (83.7%) | 4 (80%) |
| Proportion of biopsies evaluated by EM | ( | ( | ( | ( |
| <10% | 167 (68.7%) | 73 (81.2%) | 90 (60.8%) | 4 (80%) |
| 11–50% | 29 (11.9%) | 04 (4.4%) | 25 (16.9%) | 0 (0%) |
| 50–75% | 16 (6.6%) | 03 (3.3%) | 13 (8.8%) | 0 (0%) |
| >75% | 31 (12.8%) | 10 (11.1%) | 20 (13.5%) | 1 (20%) |
EM, electron microscopy; IF, immunofluorescence; IHC, immunohistochemistry; LM, light microscopy.
Figure 1The degree of difficulty in obtaining serological tests required for diagnosis of glomerular diseases (scale: 0–no difficulty and 5–extreme difficulty, cannot order). ANA, antinuclear antibody; ANCA, anti-neutrophil cytoplasmic antibody; PLA2R, phospholipase A2 receptor; SPEP, serum protein electrophoresis.
Figure 2The ease of availability of various medications for managing common glomerular diseases (scale: 0–never available to 5–available to all patients without any problem). ACEi, angiotensin-converting enzyme inhibitors; ARB, angiotensin receptor blockers; CNI, calcineurin inhibitors; MMF, mycophenolate mofetil.
Figure 3Rating of the importance of common barriers in managing glomerular diseases (scale: 0–not a barrier to 5–a frequently encountered barrier)