| Literature DB >> 35721745 |
Shaomin Shi1,2, Lihua Ni1, Ling Gao2, Xiaoyan Wu1.
Abstract
Background: Diabetic kidney disease (DKD) is one of most common complications of diabetes. Recently, the classical phenotype of DKD, which is characterized by albuminuria preceding renal insufficiency, has been challenged since a subset of diabetic patients with renal insufficiency but without albuminuria has been increasingly reported. However, the available evidence is inconsistent. Thus, the present systematic review will assess and summarize the available data regarding nonalbuminuric diabetic kidney disease (NADKD).Entities:
Keywords: characteristics; nonalbuminuric DKD; pathology; prognosis; systematic review
Mesh:
Year: 2022 PMID: 35721745 PMCID: PMC9203723 DOI: 10.3389/fendo.2022.871272
Source DB: PubMed Journal: Front Endocrinol (Lausanne) ISSN: 1664-2392 Impact factor: 6.055
Available clinical studies related to non-albuminuric diabetic kidney disease in patients with type 2 diabetes.
| Study ID | Country | Study type | Patients | NADKD/RI/DKD/DM (number) | Definition of nonalbuminuria | Research features | QE |
|---|---|---|---|---|---|---|---|
| 2003 Holly ( | US | Cross-sectional | NHANES III | 60/171/-/1,197 | ACR < 25 mg/g (F) | Adults aged ≧40 years old; | 10 |
| 2004 Richad ( | Australia | Cross-sectional | Hospital | 43/109/301/- | AER < 20 μg/min | GFR was measured with 99m TC-isotopic estimations | 9 |
| 2006 Wing ( | China | Cohort study | Hospital | 74/528/-/4,421 | ACR < 3.5 mg/mmol | Outcomes; data were collected at the follow-up endpoints | 7 |
| 2006 Richard ( | Australia | Cross-sectional | Clinics | 39/93/-/325 | AER < 20 μg/min | Focus on resistance index of internal arteries | 9 |
| 2007 Vincent ( | France | Cohort | Hospital | 15/89/-/- | UAE < 30 mg/24 h | Isotopic GFR compared with eGFR; including DM1 | 8 |
| 2007 Caroline ( | Brazil | Cross-sectional | Clinics | 84/-/-/- | AER < 20 μg/min | Compared with normal patients | 7 |
| 2009 Hiroki ( | Japan | Cross-sectional | JDDM | 262/506/1,261/3,297 | ACR < 30 mg/g | – | 8 |
| 2009 Jee ( | Korea | Cross-sectional | Clinics | 44/151/257/562 | ACR < 25 mg/g (F) | – | 6 |
| 2009 Merlin ( | Australia | Cross-sectional | – | 506/920/-/3,893 | ACR < 3.5 (F) | – | 8 |
| 2011 Giuseppe ( | Italy | Cross-sectional | RIACE | 1,673/2,959/5,908 | ACR < 30 mg/g | – | 8 |
| 2011 Rajiv ( | US | Cross-sectional | Clinic | 25/94/-/- | ACR < 220 mg/g | With follow-up data | 9 |
| 2012 Jamie ( | Italy | Cross-sectional | DEMAND | 1,037/2,586/6,540/11,573 | ACR < 30 mg/g | Without specific data | 5 |
| 2012 Hanri ( | Sweden | Cross-sectional | NDR | 7,337/16,322/-/94,446 | AER < 20 μg/min | First analyzed the use of RAS blocker | 9 |
| 2013 Amy ( | US | Cross-sectional | NHANES | 298/575/1,217/2,798 | ACR < 25 mg/g (F) | A sample of the US citizens; including DM1 | 7 |
| 2013 Vivek ( | US | Cross-sectional | Hospital | 1,588/-/3,176/15,683 | Any one | Focus on racial differences of prevalence | 9 |
| 2013 Pooja ( | US | Case–control | Hospital | 10/-/-/- | ACR < 30 mg/g | Pathology; collected specimens from tumors | – |
| 2013 Elif ( | Australia | Case–control | Hospital | 8/-/-/- | AER < 20 μg/min | Pathology | – |
| 2013 Mauro ( | Spain | Cross-sectional | Hospital | 17/-/-/- | ACR < 30 mg/g | Composed of patients with GFR < 30 ml/min/m2 | 6 |
| 2016 Eunyoung ( | Korea | Cohort | Clinics | 255/1,136/-/- | ACR < 30 mg/g | Reported renal events and CVD | 6 |
| 2016 Ivo ( | Portugal | Cross-sectional | Hospital | 68/146/-/731 | ACR < 30 mg/g | Composed of patients with GFR < 75 ml/min/m2 | 8 |
| 2016 Celine ( | Netherlands | Cross-sectional | Pathology archives | 20/-/-/168 | UAE < 30 mg/24 h | Pathology; based on autopathy | 6 |
| 2017 Jong ( | Korea | Cross-sectional | REBOUND | 223/479/1,038/- | ACR < 30 mg/g | Focus on arterial stiffness (baPWV) | 6 |
| 2018 Digsu ( | US | Cohort | CRIC | 515/1,831/-/- | UAE < 30 mg/24 h | Focus on prognosis; including a small part of DM1 | 8 |
| 2018 Giuseppe ( | Italy | Cohort | – | – | UAE < 30 mg/24 h | Focus on all-cause mortality | 8 |
| 2018 Bixia ( | China | Cohort | Kailuan cohort | 940/1,344/2,889/8,811 | Urine dipstick | A large sample size; including DM1 | 8 |
| 2019 Dorte ( | Denmark | Cohort | clinics | 942/1,984/-/- | ACR < 30 mg/g | Focus on eGFR decline | 7 |
| 2019 Oyunchimeg ( | Australia | Cohort | ACCORD | 432/777/3,644/10,185 | ACR < 30 mg/g | Focus on prognosis; large sample size; long follow-up | 7 |
| 2019 Masayuki ( | Japan | Cohort | Biopsy registry | 88/526/895/- | ACR < 300 mg/g | Based on biopsy | 8 |
| 2020 Hiroki ( | Japan | Cohort | Clinics | 203/401/1,147/2,953 | ACR < 30 mg/g | Focus on prognosis; prior CVD was investigated | 7 |
| 2020 Hiroyuki ( | Japan | Cohort | Cohort | 96/218/369/- | ACR < 30 mg/g | Focus on prognosis | 8 |
| 2021 Tsutomu ( | Japan | Cross-sectional | Regional DM cohort | 236/297/342/1,076 | ACR < 300 mg/g | Focus on lipidemia; including 5 patients with DM1 | 6 |
ID indicates identity; NADKD, nonalbuminuria diabetic kidney disease; IR, renal insufficiency (GFR < 60 ml/min/1.73 m2); DKD, diabetic kidney disease; DM, diabetes mellitus; DM1, type 1 diabetes; US, United States; NHANES III, the Third National Health and Nutrition Examination Survey; ACR, albuminuria creatinine ratio; AER, albumin excretion rate; GFR, glomerular filtration rate; UAE, urinary albumin excretion during 24 h; eGFR, estimated glomerular filtration rate; JDDM, Japan Diabetes Clinical Data Management; RIACE, The Renal Insufficiency And Cardiovascular Events; DEMAND, Developing Education on Microalbuminuria for Awareness of Renal and Cardiovascular Risk in Diabetes; RAS, renin–aldosterone system; NDR, Swedish national diabetes register; NHANES, the National Health Nutrition Examination Survey; CVD, cardiovascular disease; REBOUND, a multicenter prospective observational study conducted from December 2008 to December 2010 in Korea; baPWV, brachial-ankle pulse wave velocity; CRIC, chronic renal insufficiency cohort study; ACCORD, Action to Control Cardiovascular Risk in Diabetes clinical trial; QE, literature quality evaluation; -, no record. (Since renal biopsy is not always applicable and rarely performed and three studies based on pathology had small samples, their quality was not evaluated; details are shown in , .
Figure 1Flow diagram of study selection.
The comparison of eGFR decline between patients with NADKD and albuminuric DKD.
| Study ID | Group | N | Follow-up (year) | Annual eGFR decline |
|---|---|---|---|---|
| 2004 Richard | NADKD | 12 | 3-10 | −4.6 ± 1.0 |
| 2018 Digsu | NADKD | 515 | 6.3 | −0.19 ± 0.11 |
| 2019 Dorte | NADKD | 942 | 3.7 | −1.9 ± 0.075 |
| 2019 Oyunchimeg | NADKD | 423 | 8.8 | −1.1 ± 1.88 |
| 2020 Hiroyuki | NADKD | 96 | 4 | 0 ± 8 (overall change in 4 years) |
N indicates number; ID, identifier; eGFR, estimated glomerular filtration rate; NADKD, normoalbumunuria diabetic kidney disease; Alb+/eGFR+, albuminuria diabetic kidney disease with renal insufficiency; Alb+/eGFR-, albuminuria diabetic kidney disease without renal insufficiency; Alb-/eGFR-, nonalbuminuria diabetic kidney disease without renal insufficiency; *, compared with NADKD, p < 0.05.
Figure 2Meta-analyses of clinical characteristics of patients with NADKD compared with patients with Alb+/eGFR- and Alb-/eGFR- BMI indicates body mass index; HbA1c, glycated hemoglobin; Retino, retinopathy; CVD, cardiovascular disease; SBP, systolic blood pressure; DBP, diastolic blood pressure; TC, total cholesterol; LDL, low-density lipoprotein; Tri, triglyceride; HDL, high-density lipoprotein; RASi, renin–angiotensin system inhibitor; NADKD, normoalbuminuria diabetic kidney disease; Alb+/eGFR+, albuminuria diabetic kidney disease with renal insufficiency; Alb+/eGFR-, albuminuria diabetic kidney disease without renal insufficiency; Alb-/eGFR-, nonalbuminuria diabetic kidney disease without renal insufficiency; Mean, mean difference; RR, risk ratio. Renal insufficiency (GFR < 60 ml/min/1.73 m2).
Long-term outcomes of patients with type 2 diabetes and non-albuminuric diabetic kidney disease.
| Study ID | Group | N | Follow-up (year) | CVD rate (per 1,000 patient-years) | ESRD rate (per 1,000 patient-years) | All-cause mortality rate (per 1,000 patient-years) |
|---|---|---|---|---|---|---|
| 2007 Vincent | NADKD | 15 | 3.2 ± 0.9 | – | 0 | 0 |
| 2011 Rajiv | NADKD | 25 | 6.8 | 66.1 | 46.2 | 105.7 |
| 2016 Eunyoung | NADKD | 255 | 3.7 | 41 (16.1%) Number of events | 7 (2.7%) | |
| 2018 Digsu | NADKD | 515 | 6.3 | – | 7.4 | – |
| 2018 Giuseppe | NADKD | 1,476 | 7.4 ± 2.1 | – | – | 30.62 HR 1.58 (1.43, 1.75) |
| 2018 Bixia | NADKD | 76 | 6.9 | 12.3 HR 1.05(0.81-1.35) | 0.94 HR 31.33 (3.65–269.3) | 16.3 HR 1.15 (0.91, 1.44) |
| 2019 Oyunchimeg | NADKD | 423 | 8.8 | 26.72 HR 1.44 (1.13,1.84) | 1.81 HR 0.76 (0.34, 1.7) | 28.14 HR 1.42 (1.14, 1.78) |
| 2019 Masayuki | NADKD | 88 | 1.9 | – | 3 (3%) Number of events | – |
| 2020 Hiroki | NADKD | 203 | 9.7 ± 1.1 | 8.9 HR 1.13 (0.68,1.89) | 4 HR 6.5 (2.46, 17.19) | 5.1 HR 1.34 (0.68, 2.66) |
| 2020 Hiroyuki | NADKD | 96 | 4 | 7 (7%) Number of events | 0 | 7 (7%) Number of events |
N indicates number; ID, identifier; CVD, cardiovascular disease; ESRD, end-stage renal disease; NADKD, normoalbumunuria diabetic kidney disease; Alb+/eGFR+, albuminuria diabetic kidney disease with renal insufficiency; Alb+/eGFR-, albuminuria diabetic kidney disease without renal insufficiency; Alb-/eGFR-, nonalbuminuria diabetic kidney disease without renal insufficiency; Ref, reference; HR, hazard ratio; *, compared with NADKD, p < 0.05; -, no record.