Definition and research guide
This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.
Content available: 4 complete abstracts (1,026 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.
Definition
A waste product produced by dietary protein digestion and breakdown product of creatine phosphate in muscle. Creatinine levels in the blood can be an indicator of kidney function.
Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.
Also known as: 2-Amino-1-methyl-1,5-dihydro-4H-imidazol-4-one; Creatinine Sulfate Salt; Salt, Creatinine Sulfate; Sulfate Salt, Creatinine; Krebiozen.
Where it fits in the MeSH classification
- Broader topics
- Imidazoles
Related concepts
- Creatine Phosphate
- Kidney
Research landscape
PubMed indexes 66,252 records tagged with the MeSH heading “Creatinine” (counts retrieved 2026-10-31). 9,945 of them (15.0%) were published from 2020 onward, and the busiest period so far is through 1999 with 25,927 records.
Reviews account for 2,578 records (3.9%) and meta-analyses for 504. Randomized controlled trials number 3,608 (5.4%) as a share of all records on the topic.
Show the data
| Period | Records |
|---|---|
| through 1999 | 25,927 |
| 2000-2009 | 13,330 |
| 2010-2019 | 17,050 |
| 2020 onward | 9,945 |
Publication-type chart data
| Type | Records | Share |
|---|---|---|
| Reviews | 2,578 | 3.9% |
| Meta-analyses | 504 | 0.8% |
| Randomized controlled trials | 3,608 | 5.4% |
Method: PubMed query "Creatinine"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-31.
Reading the evidence in drugs and chemicals
Studies of a chemical or drug can answer very different questions: what it is and how it behaves in cells and animals, how the body handles it, and whether it changes outcomes in people. Laboratory and animal findings often do not carry over to patients, and observational studies of exposures are confounded by who uses a substance and why. Nothing on this page is a recommendation to use, avoid, start or stop any substance or medicine; talk to a qualified clinician or pharmacist about your own situation. Check the dose, the species, the comparison group and whether a patient-relevant outcome was measured.
Evidence from open-access studies
These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.
| Study / authors | Year | Source label / design | Europe PMC citations | Licence / source |
|---|---|---|---|---|
| Machine learning derived serum creatinine trajectories in acute kidney injury in critically ill patients with sepsis | 2024 | Research article Design not recorded in structured metadata | 57 | cc by PMID 38730421 · DOI · PMC11084026 |
| The Metabolism of Creatinine and Its Usefulness to Evaluate Kidney Function and Body Composition in Clinical Practice | 2025 | Review article Design not recorded in structured metadata | 51 | cc by PMID 39858438 · DOI · PMC11764249 |
| Creatinine, cystatin C, muscle mass, and mortality: Findings from a primary and replication population-based cohort | 2024 | Research article Design not recorded in structured metadata | 45 | cc by PMID 38898741 · DOI · PMC11294032 |
| Different eGFR markers and prediction of cardiovascular risk | 2026 | Randomized controlled trial Design not recorded in structured metadata | 3 | cc by PMID 41273211 · DOI · PMC12678217 |
Machine learning derived serum creatinine trajectories in acute kidney injury in critically ill patients with sepsis [1]
Abstract reading summary — source excerpts
- Opening excerpt
- BackgroundCurrent classification for acute kidney injury (AKI) in critically ill patients with sepsis relies only on its severity-measured by maximum creatinine which overlooks inherent complexities and longitudinal evaluation of this heterogenous syndrome.
- Closing excerpt
- ConclusionsThese 8 classes of AKI in critically ill patients with sepsis, stratified by early creatinine trajectories, were good predictors for key outcomes in patients with AKI in critically ill patients with sepsis independent of their AKI staging.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (266 words)
BackgroundCurrent classification for acute kidney injury (AKI) in critically ill patients with sepsis relies only on its severity-measured by maximum creatinine which overlooks inherent complexities and longitudinal evaluation of this heterogenous syndrome. The role of classification of AKI based on early creatinine trajectories is unclear.MethodsThis retrospective study identified patients with Sepsis-3 who developed AKI within 48-h of intensive care unit admission using Medical Information Mart for Intensive Care-IV database. We used latent class mixed modelling to identify early creatinine trajectory-based classes of AKI in critically ill patients with sepsis. Our primary outcome was development of acute kidney disease (AKD). Secondary outcomes were composite of AKD or all-cause in-hospital mortality by day 7, and AKD or all-cause in-hospital mortality by hospital discharge. We used multivariable regression to assess impact of creatinine trajectory-based classification on outcomes, and eICU database for external validation.ResultsAmong 4197 patients with AKI in critically ill patients with sepsis, we identified eight creatinine trajectory-based classes with distinct characteristics. Compared to the class with transient AKI, the class that showed severe AKI with mild improvement but persistence had highest adjusted risks for developing AKD (OR 5.16; 95% CI 2.87-9.24) and composite 7-day outcome (HR 4.51; 95% CI 2.69-7.56). The class that demonstrated late mild AKI with persistence and worsening had highest risks for developing composite hospital discharge outcome (HR 2.04; 95% CI 1.41-2.94). These associations were similar on external validation.ConclusionsThese 8 classes of AKI in critically ill patients with sepsis, stratified by early creatinine trajectories, were good predictors for key outcomes in patients with AKI in critically ill patients with sepsis independent of their AKI staging.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 38730421 · DOI · PMC11084026
The Metabolism of Creatinine and Its Usefulness to Evaluate Kidney Function and Body Composition in Clinical Practice [2]
Abstract reading summary — source excerpts
- Opening excerpt
- Serum creatinine levels are the most used clinical marker to estimate renal function as the glomerular function rate because it is simple, fast, and inexpensive.
- Closing excerpt
- The variability in the creatinine generation rate among individuals should be considered when assessing the glomerular function rate.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (151 words)
Serum creatinine levels are the most used clinical marker to estimate renal function as the glomerular function rate because it is simple, fast, and inexpensive. However, creatinine has limitations, as its levels can be influenced by factors such as advanced age, physical activity, protein-rich diets, male gender, medications, and ethnicity. Serum cystatin C and its combination with serum creatinine may serve as an alternative since these factors do not affect it. Most creatinine synthesis occurs in the muscles, making it a valuable marker for assessing lean body mass within body composition. This measurement is crucial for evaluating and monitoring nutritional status in patients with chronic kidney disease. This review aimed to discuss the literature on creatinine metabolism, its advantages and disadvantages in assessing renal function, and its utility in measuring lean body mass. The variability in the creatinine generation rate among individuals should be considered when assessing the glomerular function rate.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 39858438 · DOI · PMC11764249
Creatinine, cystatin C, muscle mass, and mortality: Findings from a primary and replication population-based cohort [3]
Abstract reading summary — source excerpts
- Opening excerpt
- BackgroundSerum creatinine is used as initial test to derive eGFR and confirmatory testing with serum cystatin C is recommended when creatinine-based eGFR is considered less accurate due to deviant muscle mass.
- Closing excerpt
- The minimal association between serum cystatin C and muscle mass supports its increased use as a more reliable alternative in routine clinical practice.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (353 words)
BackgroundSerum creatinine is used as initial test to derive eGFR and confirmatory testing with serum cystatin C is recommended when creatinine-based eGFR is considered less accurate due to deviant muscle mass. Low muscle mass is associated with increased risk of premature mortality. However, the associations of serum creatinine and cystatin C with muscle mass and mortality remain unclear and require further investigation to better inform clinical decision-making.MethodsWe included 8437 community-dwelling adults enrolled in the Dutch PREVEND study and 5033 in the US NHANES replication cohort. Associations of serum creatinine and/or cystatin C with muscle mass surrogates and mortality were quantified with linear and Cox proportional hazards regression, respectively. Missing observations in covariates were multiply imputed using Substantive Model Compatible Fully Conditional Specification.ResultsMean (SD) age of PREVEND and NHANES participants (50% and 48% male) were 49.8 (12.6) and 48.7 (18.7) years, respectively. Median (Q1-Q3) serum creatinine and cystatin C were 71 (61-80) and 80 (62-88) μmol/L and 0.87 (0.78-0.98) and 0.91 (0.80-1.10) mg/L, respectively. Higher serum creatinine was associated with greater muscle mass, while serum cystatin C was not associated with muscle mass. Adjusting both markers for each other strengthened the positive relationship between serum creatinine and muscle mass and revealed an inverse association between serum cystatin C and muscle mass. In the PREVEND cohort, 1636 (19%) deaths were registered over a median follow-up of 12.9 (5.8-16.3) years with a 10-year mortality rate (95% CI) of 7.6% (7.1-8.2%). In the NHANES, 1273 (25%) deaths were registered over a median follow-up of 17.9 (17.3-18.5) years with a 10-year mortality rate of 13.8% (12.8-14.7%). Both markers were associated with increased mortality. Notably, when adjusted for each other, higher serum creatinine was associated with decreased mortality, while the association between serum cystatin C and increased mortality strengthened. The shapes of the associations in the PREVEND study and NHANES were almost identical.ConclusionsThe strong association between serum creatinine and muscle mass challenges its reliability as GFR marker, necessitating a more cautious approach in its clinical use. The minimal association between serum cystatin C and muscle mass supports its increased use as a more reliable alternative in routine clinical practice.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 38898741 · DOI · PMC11294032
Different eGFR markers and prediction of cardiovascular risk [4]
Abstract reading summary — source excerpts
- Opening excerpt
- BackgroundRenal dysfunction increases cardiovascular (CV) risk.
- Closing excerpt
- eGFRcys had the strongest association; eGFRcr and eGFRratio added limited incremental value.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (256 words)
BackgroundRenal dysfunction increases cardiovascular (CV) risk. We compared cystatin C-based estimated glomerular filtration rate (eGFRcys), creatinine-based eGFR (eGFRcr), and their ratio (eGFRcys/eGFRcr) in relation to major adverse cardiovascular events (MACE) and all-cause mortality in chronic coronary syndrome, assessing the added prognostic value of the eGFRratio.MethodsIn this post hoc analysis of 14,513 Stabilization of Atherosclerotic Plaque by Initiation of Darapladib Therapy trial patients, we investigated associations between baseline eGFRcys, eGFRcr, their ratio, and MACE and all-cause death using Cox regression models, unadjusted and adjusted for eGFRcys, eGFRcr, and their combination. Discrimination was assessed using Harrell's C-index; added value by the fraction of new information (FNI).ResultsMedian age was 65 years; 82% were male. Median eGFRcys was 77 (interquartile range [IQR]: 61-94) and eGFRcr 79 (IQR: 65-91) mL/min/1.73 m2. Over 3.7 years, 1449 MACE and 1063 deaths occurred. Lower eGFR values and eGFRratio were associated with increased MACE risk, primarily driven by CV death. For eGFRcys 60 versus 90, the hazard ratio (HR) for MACE adjusted for eGFRcr was 1.77 (95% CI: 1.49-2.09, FNI 54%). In contrast, eGFRcr adjusted for eGFRcys showed no positive association (HR 0.82, 95% CI: 0.68-0.97, FNI 3%). A lower eGFRratio was linked to higher MACE risk (HR 1.99, 95% CI: 1.80-2.21), which remained after eGFRcr adjustment (HR 1.89, 95% CI: 1.70-2.10, FNI 54%) but was attenuated after eGFRcys adjustment (HR 1.29, 95% CI: 1.13-1.46, FNI 5%).ConclusionIn chronic coronary syndrome, lower eGFRcys, eGFRcr, and eGFRratio were associated with higher MACE and mortality risk. eGFRcys had the strongest association; eGFRcr and eGFRratio added limited incremental value.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41273211 · DOI · PMC12678217
Key reviews and meta-analyses
The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.
- Research article Creatine and creatinine metabolism [5]
- Research article Cystatin C versus creatinine in determining risk based on kidney function [6]
- Research article Acute kidney injury in sepsis [7]
- Research article Interpretation of urine results used to assess chemical exposure with emphasis on creatinine adjustments: a review [8]
- Research article Serum creatinine and renal function [9]
- Research article Estimated Glomerular Filtration Rate, Albuminuria, and Adverse Outcomes: An Individual-Participant Data Meta-Analysis [10]
References
- Takkavatakarn K, Oh W, Chan L, Hofer I, Shawwa K, Kraft M, et al.. Machine learning derived serum creatinine trajectories in acute kidney injury in critically ill patients with sepsis. . 2024. PMID 38730421 · DOI · PMC11084026
- Ávila M, Mora Sánchez MG, Bernal Amador AS, Paniagua R. The Metabolism of Creatinine and Its Usefulness to Evaluate Kidney Function and Body Composition in Clinical Practice. . 2025. PMID 39858438 · DOI · PMC11764249
- Groothof D, Shehab NBN, Erler NS, Post A, Kremer D, Polinder-Bos HA, et al.. Creatinine, cystatin C, muscle mass, and mortality: Findings from a primary and replication population-based cohort. . 2024. PMID 38898741 · DOI · PMC11294032
- Tydén M, Batra G, Fellström B, Held C, Lindbäck J, Soveri I, et al.. Different eGFR markers and prediction of cardiovascular risk. . 2026. PMID 41273211 · DOI · PMC12678217
- Wyss M, Kaddurah-Daouk R. Creatine and creatinine metabolism. Physiol Rev. 2000. PMID 10893433 · DOI
- Shlipak MG, Matsushita K, Ärnlöv J, Inker LA, Katz R, Polkinghorne KR, et al.. Cystatin C versus creatinine in determining risk based on kidney function. N Engl J Med. 2013. PMID 24004120 · DOI · PMC3993094
- Bellomo R, Kellum JA, Ronco C, Wald R, Martensson J, Maiden M, et al.. Acute kidney injury in sepsis. Intensive Care Med. 2017. PMID 28364303 · DOI
- Boeniger MF, Lowry LK, Rosenberg J. Interpretation of urine results used to assess chemical exposure with emphasis on creatinine adjustments: a review. Am Ind Hyg Assoc J. 1993. PMID 8237794 · DOI
- Levey AS, Perrone RD, Madias NE. Serum creatinine and renal function. Annu Rev Med. 1988. PMID 3285786 · DOI
- Writing Group for the CKD Prognosis Consortium, Grams ME, Coresh J, Matsushita K, Ballew SH, Sang Y, et al.. Estimated Glomerular Filtration Rate, Albuminuria, and Adverse Outcomes: An Individual-Participant Data Meta-Analysis. JAMA. 2023. PMID 37787795 · DOI · PMC10548311
About this article
- Sources
- NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
- Verification
- Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
- Review state
- automated source verified; no human expert review has been recorded yet.
- Version
- 1, last updated 2026-10-31.
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Evidence strength
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