Evidence map›Paper›PMID 41479823›Full record

ArticleWorld journal of nephrology2025

Predictors of non-diabetic kidney disease in diabetics: A Saudi Arabian perspective.

Salem H Al-Qurashi, Muhammad Abdul Mabood Khalil, Hinda Hassan Khideer Mahmood, Rawan A Al-Ghamdi, Maram Majid Alsharif, Mohamed Abdelmonem Said Ahmed, Rayan Mohammed H Alghamdi, Nihal Mohammed Sadagah

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Article in World journal of nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Salem H Al-QurashiCenter of Renal Diseases and Transplantation, King Fahad Armed Forces Hospital, Jeddah 23311, Makkah al Mukarramah, Saudi Arabia.
Muhammad Abdul Mabood KhalilCenter of Renal Diseases and Transplantation, King Fahad Armed Forces Hospital, Jeddah 23311, Makkah al Mukarramah, Saudi Arabia. doctorkhalil1975@hotmail.com.
Hinda Hassan Khideer MahmoodCenter of Renal Diseases and Transplantation, King Fahad Armed Forces Hospital, Jeddah 23311, Makkah al Mukarramah, Saudi Arabia.
Rawan A Al-GhamdiDepartment of Medicine, King Fahad Armed Forces Hospital, Jeddah 23311, Makkah al Mukarramah, Saudi Arabia.
Maram Majid AlsharifDepartment of Computer Science and Artificial Intelligence, Umm Al-Qura University, Makkah 21955, Makkah al Mukarramah, Saudi Arabia.
Mohamed Abdelmonem Said AhmedCenter of Renal Diseases and Transplantation, King Fahad Armed Forces Hospital, Jeddah 23311, Makkah al Mukarramah, Saudi Arabia.
Rayan Mohammed H AlghamdiCenter of Renal Diseases and Transplantation, King Fahad Armed Forces Hospital, Jeddah 23311, Makkah al Mukarramah, Saudi Arabia.
Nihal Mohammed SadagahCenter of Renal Diseases and Transplantation, King Fahad Armed Forces Hospital, Jeddah 23311, Makkah al Mukarramah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic patients with atypical presentation are often challenging in terms of diagnosis and management. Kidney biopsy is not routinely done in diabetics, and clinicians are always in a dilemma in such a scenario to decide whether to do a biopsy or not. Since non-diabetic kidney diseases (NDKD) are common, and some patients may have NDKD superimposed on diabetic kidney diseases (DKD), therefore, kidney biopsy may be warranted to rule out NDKD.

aimTo determine the prevalence of NDKD, DKD, or mixed lesions, identify predictors of NDKD, and investigate renal and patient survival, as well as factors associated with these outcomes.

methodsThis retrospective observational study was conducted on patients with biopsy-proven NDKD, DKD, and mixed lesions (having both NDKD and DKD). Binary logistic regression models were constructed to identify predictors of NDKD. Kaplan-Meier survival analysis was performed to compare time to kidney failure and patient survival across the three histological groups. Multivariable Cox proportional hazards regression was used to identify clinical and pathological factors associated with kidney failure and all-cause mortality.

resultsA total of 103 biopsies were analyzed. Sixty-four (62.1%) had NDKD alone or mixed lesions. The most common NDKD pathologies were interstitial nephritis in 12 (29.2%), focal segmental glomerulosclerosis in 10 (24.4%), and immune complex-mediated glomerulonephritis in five (12.2%) patients. Compared to DKD, NDKD was associated with significantly lower odds of proteinuria > 3.5 g/day [odds ratio (OR), 0.02;

conclusionNDKD and mixed lesions are frequent in diabetic patients. These histological lesions carry distinct prognostic implications. Clinical features such as a shorter diabetes duration, absence of retinopathy, anemia, and elevated creatinine levels suggest NDKD and warrant biopsy. NDKD had better renal and patient survival rates, while mixed lesions had the worst outcomes. Older age, hypoalbuminemia, retinopathy, arteriosclerosis, and elevated creatinine were key predictors of mortality.

Indexed as

DiabetesKidney biopsyNon-diabetic kidney diseasePatient survivalPredictorsRenal survival

Identifiers

PMID41479823
PMCPMC12754435

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