Evidence map›Paper›PMID 35034932›Full record

ArticleInternal medicine (Tokyo, Japan)2022

Utility of a Score for Predicting Glomerular Filtration Rate Overestimation in Patients with Cardiovascular and Renal Diseases and Their Risk Factors.

Tomoyuki Ishigo, Toshiyuki Yano, Satoshi Katano, Ryo Takada, Tomohiro Aigami, Keita Nakano, Fuki Kondo, Hidemichi Kouzu, Katsuhiko Ohori, Hiromasa Nakata and 5 more

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Article in Internal medicine (Tokyo, Japan), 2022. 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

15 authors at 2 institutions in 1 country.

Tomoyuki IshigoDivision of Hospital Pharmacy, Sapporo Medical University Hospital, Japan.
Toshiyuki YanoDepartment of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University School of Medicine, Japan.
Satoshi KatanoDivision of Rehabilitation, Sapporo Medical University Hospital, Japan.
Ryo TakadaDivision of Hospital Pharmacy, Sapporo Medical University Hospital, Japan.
Tomohiro AigamiDivision of Hospital Pharmacy, Sapporo Medical University Hospital, Japan.
Keita NakanoDivision of Hospital Pharmacy, Sapporo Medical University Hospital, Japan.
Fuki KondoDivision of Hospital Pharmacy, Sapporo Medical University Hospital, Japan.
Hidemichi KouzuDepartment of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University School of Medicine, Japan.
Katsuhiko OhoriDepartment of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University School of Medicine, Japan.
Hiromasa NakataDivision of Hospital Pharmacy, Sapporo Medical University Hospital, Japan.
Masatoshi NonoyamaDivision of Hospital Pharmacy, Sapporo Medical University Hospital, Japan.
Manabu KitagawaDivision of Hospital Pharmacy, Sapporo Medical University Hospital, Japan.
Tomoko KimyoDivision of Hospital Pharmacy, Sapporo Medical University Hospital, Japan.
Masahide FukudoDivision of Hospital Pharmacy, Sapporo Medical University Hospital, Japan.
Tetsuji MiuraDepartment of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University School of Medicine, Japan.
Sapporo Medical University Hospital · JPSapporo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective We recently reported a novel score for the detection of glomerular filtration rate (GFR) overestimation using a creatinine-based equation. We examined the utility of this score in patients with cardiovascular/renal diseases and diabetes mellitus. Methods We enrolled 1,425 patients (65±15 years old; 37% women) who were admitted to our hospital for the management of cardiovascular and renal diseases and their risk factors. Overestimation of the GFR (OE) was defined as a creatinine-based GFR (eGFRcre) ≥120% of the cystatin C-based estimated GFR. The OE score was calculated as the sum of the scores for the body weight, hemoglobin concentration, and blood urea nitrogen (BUN)/serum creatinine (Scr), totaling 1 point if the body weight was <63.0 kg in men or <42.0 kg in women, 1 point if the hemoglobin concentration was <12.4 g/dL in men or <11.0 g/dL in women, and 1 point if the BUN/Scr was >26.5. Results The proportion of patients with OE was 14.2%. The score predicted OE with a sensitivity of 70.8% and a specificity of 99.6%, and the sensitivity was increased in patients ≥75 years old (88.3%) and decreased in diabetics (58.6%). When patients were divided into subgroups by the total score, the frequencies of OE were 8% (59/754), 14% (72/502), 38% (58/151), and 72% (13/18) in patients with scores of 0, 1, 2, and 3, respectively. Conclusion The OE score is useful for detecting elderly cases of cardiovascular and renal diseases in which eGFRcre overestimates the GFR, although its utility is limited in diabetics.

Indexed as

Kidney DiseasesAgedAged, 80 and overBiomarkersCreatinineFemaleGlomerular Filtration RateHumansMaleMiddle AgedRisk FactorsBiomarkersCreatininechronic kidney diseasecreatininecystatin Cdiabetes mellitusglomerular filtration raterenal function

Identifiers

PMID35034932
PMCPMC8851179
OpenAlexW4206284822

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