Abilities of Pre-Treatment Inflammation Ratios as Classification or Prediction Models for Patients with Colorectal Cancer
Background: Systemic inflammatory status is known as an important factor of colorectal cancer prognosis. Our study aimed to evaluate the performances of inflammation biomarker ratios as classification models of seven outcomes in patients with colorectal cancer. Methods: A retrospective cohort study...
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MDPI AG
2021-03-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/11/3/566 |
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| author | Andra Ciocan Răzvan A. Ciocan Nadim Al Hajjar Claudia D. Gherman Sorana D. Bolboacă |
| author_facet | Andra Ciocan Răzvan A. Ciocan Nadim Al Hajjar Claudia D. Gherman Sorana D. Bolboacă |
| author_sort | Andra Ciocan |
| collection | DOAJ |
| description | Background: Systemic inflammatory status is known as an important factor of colorectal cancer prognosis. Our study aimed to evaluate the performances of inflammation biomarker ratios as classification models of seven outcomes in patients with colorectal cancer. Methods: A retrospective cohort study was conducted on subjects with colorectal cancer over five years at a single center in Transylvania, Romania. Seven derived ratios were calculated based on laboratory data: neutrophil-to-lymphocyte (NLR), derived neutrophil-to-lymphocyte (dNLR), platelet-to-lymphocyte (PLR), lymphocyte-to-monocyte (LMR) and albumin-to-globulin (AGR) ratios, Systemic Immune Inflammation Index (SII) and Prognostic Nutritional Index (PNI). The utility of these ratios as predictors for seven outcomes was further evaluated in multivariable regression models. Results: Our study shows that the evaluated ratios exhibit specific performances for individual outcomes, proving a fair ability as screening tools (NLR and dNLR for survival, T stage and M stage; NLR and SII for T stage; and PLR for M stage). A dNLR over 3.1 (OR = 2.48, 95% CI (1.421 to 4.331)) shows predictive value for survival. A value of NLR over 3.10 (OR = 1.389, 95% CI (1.061 to 1.817)) is positively associated with an advanced T stage, while LMR is negatively related to the T stage (OR = 0.919, 95% CI (0.867 to 0.975)). NLR over 4.25 (OR = 2.647, 95% CI (2.128 to 3.360)) is positively associated with, while PNI is negatively related (OR = 0.970, 95% CI (0.947 to 0.993)) to, the M stage. Conclusion: Each of the evaluated ratios possesses prognostic value for certain outcomes considered, but the reported models need external validation to recommend their clinical practice utilization. |
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| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-10T13:03:22Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-e7a3faa613684b22891e0fcdb4557cfe2023-11-21T11:23:17ZengMDPI AGDiagnostics2075-44182021-03-0111356610.3390/diagnostics11030566Abilities of Pre-Treatment Inflammation Ratios as Classification or Prediction Models for Patients with Colorectal CancerAndra Ciocan0Răzvan A. Ciocan1Nadim Al Hajjar2Claudia D. Gherman3Sorana D. Bolboacă4Department of Medical Informatics and Biostatistics, “Iuliu Hațieganu” University of Medicine and Pharmacy Cluj-Napoca, Louis Pasteur Street, No. 6, 400349 Cluj-Napoca, RomaniaDepartment of Medical Skills—Human Sciences, “Iuliu Hațieganu” University of Medicine and Pharmacy Cluj-Napoca, Marinescu Street, No. 23, 400337 Cluj-Napoca, RomaniaDepartment of Surgery, “Iuliu Hațieganu” University of Medicine and Pharmacy Cluj-Napoca, Croitorilor Street, No. 19-21, 400162 Cluj-Napoca, RomaniaDepartment of Medical Skills—Human Sciences, “Iuliu Hațieganu” University of Medicine and Pharmacy Cluj-Napoca, Marinescu Street, No. 23, 400337 Cluj-Napoca, RomaniaDepartment of Medical Informatics and Biostatistics, “Iuliu Hațieganu” University of Medicine and Pharmacy Cluj-Napoca, Louis Pasteur Street, No. 6, 400349 Cluj-Napoca, RomaniaBackground: Systemic inflammatory status is known as an important factor of colorectal cancer prognosis. Our study aimed to evaluate the performances of inflammation biomarker ratios as classification models of seven outcomes in patients with colorectal cancer. Methods: A retrospective cohort study was conducted on subjects with colorectal cancer over five years at a single center in Transylvania, Romania. Seven derived ratios were calculated based on laboratory data: neutrophil-to-lymphocyte (NLR), derived neutrophil-to-lymphocyte (dNLR), platelet-to-lymphocyte (PLR), lymphocyte-to-monocyte (LMR) and albumin-to-globulin (AGR) ratios, Systemic Immune Inflammation Index (SII) and Prognostic Nutritional Index (PNI). The utility of these ratios as predictors for seven outcomes was further evaluated in multivariable regression models. Results: Our study shows that the evaluated ratios exhibit specific performances for individual outcomes, proving a fair ability as screening tools (NLR and dNLR for survival, T stage and M stage; NLR and SII for T stage; and PLR for M stage). A dNLR over 3.1 (OR = 2.48, 95% CI (1.421 to 4.331)) shows predictive value for survival. A value of NLR over 3.10 (OR = 1.389, 95% CI (1.061 to 1.817)) is positively associated with an advanced T stage, while LMR is negatively related to the T stage (OR = 0.919, 95% CI (0.867 to 0.975)). NLR over 4.25 (OR = 2.647, 95% CI (2.128 to 3.360)) is positively associated with, while PNI is negatively related (OR = 0.970, 95% CI (0.947 to 0.993)) to, the M stage. Conclusion: Each of the evaluated ratios possesses prognostic value for certain outcomes considered, but the reported models need external validation to recommend their clinical practice utilization.https://www.mdpi.com/2075-4418/11/3/566inflammation biomarkerscolorectal cancerderived ratiosprognostic factors |
| spellingShingle | Andra Ciocan Răzvan A. Ciocan Nadim Al Hajjar Claudia D. Gherman Sorana D. Bolboacă Abilities of Pre-Treatment Inflammation Ratios as Classification or Prediction Models for Patients with Colorectal Cancer Diagnostics inflammation biomarkers colorectal cancer derived ratios prognostic factors |
| title | Abilities of Pre-Treatment Inflammation Ratios as Classification or Prediction Models for Patients with Colorectal Cancer |
| title_full | Abilities of Pre-Treatment Inflammation Ratios as Classification or Prediction Models for Patients with Colorectal Cancer |
| title_fullStr | Abilities of Pre-Treatment Inflammation Ratios as Classification or Prediction Models for Patients with Colorectal Cancer |
| title_full_unstemmed | Abilities of Pre-Treatment Inflammation Ratios as Classification or Prediction Models for Patients with Colorectal Cancer |
| title_short | Abilities of Pre-Treatment Inflammation Ratios as Classification or Prediction Models for Patients with Colorectal Cancer |
| title_sort | abilities of pre treatment inflammation ratios as classification or prediction models for patients with colorectal cancer |
| topic | inflammation biomarkers colorectal cancer derived ratios prognostic factors |
| url | https://www.mdpi.com/2075-4418/11/3/566 |
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