Relationship of HbA1c, Hematocrit, Erythrocytes, MCV in Type 2 Diabetes at Husada Utama Hospital, Surabaya

Introduction: Diabetes Mellitus (DM) is a prevalent endocrine disorder characterized by hyperglycemia. Hematological parameters such as Hematocrit (Hct), Erythrocyte Count (RBC), and Mean Corpuscular Volume (MCV) have been linked to the pathological mechanisms and complications of DM. This study investigates the relationship between glycemic control status (based on HbA1c results) and these hematological parameters in type 2 DM patients. Methods: This cross-sectional study included 43 type 2 DM patients from Husada Utama Hospital, Surabaya. Data, including HbA1c, Hct, RBC, and MCV values, were collected from patient medical records. Results: The Spearman Rank test results between glycemic control status (HbA1c) and hematocrit in type 2 DM patients showed p=0.013 with r=0.374, indicating a significant moderate positive correlation (r = 0.3 to 0.5, p < 0.05). The Spearman Rank test results between glycemic control status (HbA1c) and erythrocyte count showed p=0.008 with r=0.402, also indicating a significant moderate positive correlation (r = 0.3 to 0.5, p < 0.05). However, the Spearman Rank test results between glycemic control status (HbA1c) and MCV showed p=0.052 with r=-0.302, indicating a moderate negative correlation (r = -0.3 to -0.5) that is not statistically significant (p > 0.05). Conclusion: There is a notable relationship between glycemic control and hematological parameters in type 2 DM patients. Poor glycemic control is associated with significant variations in Hct, RBC, and MCV levels, highlighting the importance of monitoring these parameters in managing diabetes complications.

Institutions

Publication Details

Journal
Jurnal Ilmiah Kedokteran Wijaya Kusuma
Published
2025-10-02
DOI
https://doi.org/10.30742/jikw.v14i2.3962
Primary Topic
Crystallography and molecular interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Relationship of HbA1c, Hematocrit, Erythrocytes, MCV in Type 2 Diabetes at Husada Utama Hospital, Surabaya

Jurnal Ilmiah Kedokteran Wijaya Kusuma
Crystallography and molecular interactions
article

Relationship of HbA1c, Hematocrit, Erythrocytes, MCV in Type 2 Diabetes at Husada Utama Hospital, Surabaya

article en

Abstract

Introduction: Diabetes Mellitus (DM) is a prevalent endocrine disorder characterized by hyperglycemia. Hematological parameters such as Hematocrit (Hct), Erythrocyte Count (RBC), and Mean Corpuscular Volume (MCV) have been linked to the pathological mechanisms and complications of DM. This study investigates the relationship between glycemic control status (based on HbA1c results) and these hematological parameters in type 2 DM patients. Methods: This cross-sectional study included 43 type 2 DM patients from Husada Utama Hospital, Surabaya. Data, including HbA1c, Hct, RBC, and MCV values, were collected from patient medical records. Results: The Spearman Rank test results between glycemic control status (HbA1c) and hematocrit in type 2 DM patients showed p=0.013 with r=0.374, indicating a significant moderate positive correlation (r = 0.3 to 0.5, p < 0.05). The Spearman Rank test results between glycemic control status (HbA1c) and erythrocyte count showed p=0.008 with r=0.402, also indicating a significant moderate positive correlation (r = 0.3 to 0.5, p < 0.05). However, the Spearman Rank test results between glycemic control status (HbA1c) and MCV showed p=0.052 with r=-0.302, indicating a moderate negative correlation (r = -0.3 to -0.5) that is not statistically significant (p > 0.05). Conclusion: There is a notable relationship between glycemic control and hematological parameters in type 2 DM patients. Poor glycemic control is associated with significant variations in Hct, RBC, and MCV levels, highlighting the importance of monitoring these parameters in managing diabetes complications.

Jurnal Ilmiah Kedokteran Wijaya KusumaVol. 14(2)
Universitas Wijaya Kusuma Surabaya (ID)
No poverty
Openalex Percentile: Top 46%
Crystallography and molecular interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Relationship of HbA1c, Hematocrit, Erythrocytes, MCV in Type 2 Diabetes at Husada Utama Hospital, Surabaya · Jurnal Ilmiah Kedokteran Wijaya Kusuma (2025) | TGRS Research Map | TGRS