Abstract B076: Analyzing Hematological Parameters in Diabetes: Toward a Better Understanding of Pathophysiology

Abstract Objectives: A person with diabetes is more prone to have dangerous diseases like cardiovascular disease, anemia, cancer, and COVID-19, which can be associated with modified levels of hematological markers. This research aims to find differences in hematological parameters and comorbidity factors in Bangladeshi diabetic patients. Methods: This 134-patient institutional cross-sectional comparison study included 62 patients with diabetes and 72 non-diabetic patients. Data on diabetes profile and hematological parameters has been collected from the study populations. Data were collected over a period from January 2023 to August 2023, with the analysis conducted subsequently. Statistical analysis was conducted using IBM SPSS Statistics version 29 software. P-value of (p<0.05) was deemed statistically significant. We did a correlation matrix between variables using Python data visualization libraries. Results: This study showed patients with diabetes may experience changes in hematological parameters. An independent T-test showed that the mean and standard deviation of WBC, ESR, mean platelet volume, etc, are statistically significant (p<0.05). Contrarily, other parameters like RBC, neutrophil, platelet, RDW-CV, etc, are shown to be statistically not significant (p>0.05) in diabetic patients as compared to the control non-diabetic group. Acute diseases had the highest percentage of severity with a number of 39 (38.7%). We found hypertension highest in the case of disease, with a percentage of 31 (22.08%) in diabetic patients and 25 (18.05%) in nondiabetic control patients. In the correlation matrix between all the possible pairs of hematological correlation coefficient, where (1) was considered a strong relationship between variables and (-1) a not strong relationship, we found positive correlation and negative correlation. Conclusion: Our study shows diabetic patients may undergo significant alterations in hematological parameters, resulting in a decrease in hemoglobin to anemia and an increase in WBC for an asymptomatic infection. This undiagnosed stage can be an alliance for injurious comorbidity factors. Diabetic patients should prescreened for hematological parameters before other tests. Citation Format: Nuran Rahman, Israt Jahan Hira, Md Fakruddin, Farha Rahman Meheki, Omar Sharif. Analyzing Hematological Parameters in Diabetes: Toward a Better Understanding of Pathophysiology [abstract]. In: Proceedings of the AACR IO Conference: Discovery and Innovation in Cancer Immunology: Revolutionizing Treatment through Immunotherapy; 2025 Feb 23-26; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Immunol Res 2025;13(2 Suppl):Abstract nr B076.

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Journal
Cancer Immunology Research
Published
2025-02-23
DOI
https://doi.org/10.1158/2326-6074.io2025-b076
Primary Topic
Cardiovascular Function and Risk Factors
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article
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article

Abstract B076: Analyzing Hematological Parameters in Diabetes: Toward a Better Understanding of Pathophysiology

Nazia Rahman, Md. Fakruddin, Omar Sharif, Israt Jahan Hira et al.
Cancer Immunology Research
Cardiovascular Function and Risk Factors
article

Abstract B076: Analyzing Hematological Parameters in Diabetes: Toward a Better Understanding of Pathophysiology

Nazia Rahman, Md. Fakruddin, Omar Sharif, Israt Jahan Hira, Farha Rahman Meheki
article en

Abstract

Abstract Objectives: A person with diabetes is more prone to have dangerous diseases like cardiovascular disease, anemia, cancer, and COVID-19, which can be associated with modified levels of hematological markers. This research aims to find differences in hematological parameters and comorbidity factors in Bangladeshi diabetic patients. Methods: This 134-patient institutional cross-sectional comparison study included 62 patients with diabetes and 72 non-diabetic patients. Data on diabetes profile and hematological parameters has been collected from the study populations. Data were collected over a period from January 2023 to August 2023, with the analysis conducted subsequently. Statistical analysis was conducted using IBM SPSS Statistics version 29 software. P-value of (p<0.05) was deemed statistically significant. We did a correlation matrix between variables using Python data visualization libraries. Results: This study showed patients with diabetes may experience changes in hematological parameters. An independent T-test showed that the mean and standard deviation of WBC, ESR, mean platelet volume, etc, are statistically significant (p<0.05). Contrarily, other parameters like RBC, neutrophil, platelet, RDW-CV, etc, are shown to be statistically not significant (p>0.05) in diabetic patients as compared to the control non-diabetic group. Acute diseases had the highest percentage of severity with a number of 39 (38.7%). We found hypertension highest in the case of disease, with a percentage of 31 (22.08%) in diabetic patients and 25 (18.05%) in nondiabetic control patients. In the correlation matrix between all the possible pairs of hematological correlation coefficient, where (1) was considered a strong relationship between variables and (-1) a not strong relationship, we found positive correlation and negative correlation. Conclusion: Our study shows diabetic patients may undergo significant alterations in hematological parameters, resulting in a decrease in hemoglobin to anemia and an increase in WBC for an asymptomatic infection. This undiagnosed stage can be an alliance for injurious comorbidity factors. Diabetic patients should prescreened for hematological parameters before other tests. Citation Format: Nuran Rahman, Israt Jahan Hira, Md Fakruddin, Farha Rahman Meheki, Omar Sharif. Analyzing Hematological Parameters in Diabetes: Toward a Better Understanding of Pathophysiology [abstract]. In: Proceedings of the AACR IO Conference: Discovery and Innovation in Cancer Immunology: Revolutionizing Treatment through Immunotherapy; 2025 Feb 23-26; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Immunol Res 2025;13(2 Suppl):Abstract nr B076.

Cancer Immunology ResearchVol. 13(2_Supplement)
North South University (BD)
Openalex Percentile: Top 94%
Cardiovascular Function and Risk Factors
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