Jun 19, 2024
Retrospective study of biochemical and haematological changes in diabetes mellitus: The protocol
- Jovita Mbah1,
- Phillip Bwititi2,
- Prajwal Gyawali1,
- Ezekiel U Nwose1
- 1University of Southern Queensland Australia;
- 2Charles Sturt University Australia
Protocol Citation: Jovita Mbah, Phillip Bwititi, Prajwal Gyawali, Ezekiel U Nwose 2024. Retrospective study of biochemical and haematological changes in diabetes mellitus: The protocol. protocols.io https://dx.doi.org/10.17504/protocols.io.eq2lyw65evx9/v1
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
We use this protocol and it's working
Created: June 13, 2024
Last Modified: June 19, 2024
Protocol Integer ID: 101795
Keywords: haematological changes in diabetes mellitus, haematology in diabetes mellitus, diabetes mellitus, diabetes management, haematological change, changes in routine hematological parameter, routine hematological parameter, haematology, years clinical laboratory data, routine dyslipidemia, clinical pathology data, clinical laboratory data, based clinical observational study, statistical designs for analysis, whole blood viscosity, cardiovascular complications management, clinical observational study, potential for whole blood viscosity, archived clinical pathology data, haemorrheology, retrospective longitudinal analysis, involving retrospective longitudinal analysis, mixed method, liver function test
Abstract
The research will analyze 10 years clinical laboratory data to evaluate the changes in routine hematological parameters and haemorrheology, as well as routine dyslipidemia and liver function test, in diabetes management. This is a laboratory-based clinical observational study involving retrospective longitudinal analysis using secondary data (archived clinical pathology data) from two health facilities. Mixed methods’ statistical designs for analyses of data would be adopted. The broad focus is haematology in diabetes mellitus and potential for whole blood viscosity in cardiovascular complications management.
Troubleshooting
Abstract
The research will analyze 10 years clinical laboratory data to evaluate the changes in routine hematological parameters and haemorrheology, as well as routine dyslipidemia and liver function test, in diabetes management. This is a laboratory-based clinical observational study involving retrospective
longitudinal analysis using secondary data (archived clinical pathology data) from two health facilities. Mixed methods’ statistical designs for analyses of data would be adopted. The broad focus is haematology in diabetes mellitus and potential for whole blood viscosity in cardiovascular complications management.
Introduction
The need to associate red blood cell indices in diabetes has remained imperative (Obeagu, 2024). This proposed research will therefore determine the correlation of HbA1c changes with haematological parameters and biochemicals such as lipid profile. There is one longitudinal research that determined the correlation between changes in some haematological and biochemical parameters (Ngwu, 2022). This study would benefit with contribution from another longitudinal retrospective study. Further, there is dearth of longitudinal study of blood viscosity in diabetes population, with perhaps the latest PubMed-archived report recommendation being over 16 years ago (Kearney-Schwartz et al., 2007), and yet to be followed up. The rationale for a longitudinal study is establishing a simple and universally available laboratory test method for antiplatelet medicine monitoring in diabetes management. The hypothesis is perhaps changes in eWBV and related haematological parameters will not be significantly different between groups of HbA1c levels. Another hypothesis is levels of eWBV may not be significantly different between subgroups of age, gender, comorbidities, or time points.
The protocol
Study design: This is a laboratory-based observational study involving retrospective longitudinal analysis. Mixed methods statistical analyses of data include cohort and period measures (Dattani, 2023), as well as correlation, cross-sectional and descriptive evaluation approaches (Table 1).
Table 1: Summary of research design and data to be analysed.
Setting: Secondary data are archived clinical pathology records from South Western Region of New South Wale health (NSW Health) (Nwose et al., 2010), and a general practice (The wellness House) in Orange. Data from the NSW Health comprises a 10-year pool from Southwest Pathology Service include records of de-identified individuals in regional NSW who were managed for diabetes.
Data: This retrospective study would be utilizing secondary data from archived clinical pathology laboratory information systems (Nwose et al., 2010), as well as from private General Practice (Anyasodor et al., 2021). Variables are as indicated on Table 1.
Ethics clearance: The collections of the two datasets were approved by relevant authorities. The 10 years dataset NSW pathology was cleared and authorized by the then Greater Southern Area Health Service (GSAHS) of NSW through the laboratory management, as previously published. The dataset from private GP had ethical approval (H2014158) from Charles Sturt University human research ethics committee.
The process
Fig 1: Dynamic flow chart
Conclusion – statement of significance
Diabetes is characterized by changes in hematology and lipid profiles and understanding of these changes could be utilized in routine evaluation of subjects in prediabetes as well as managing complications in diabetes. Furthermore, correlation between hematological and lipid profiles over the course of diabetes progression using HbA1c as index of glucose control is necessary for additional empirical data and update. Generated epidemiological data will provide tool for health promotion on progression of the disease leading to how it can be slowed, for instance empirical data on distribution of at-risk groups and risk factors thus allowing for tailoring of interventions. Secondly, this will devise a tool to detect and manage diabetes to prevent of slow adverse complications. Abnormalities such as dyslipidemia are modifiable risk factor in the development of cardiovascular disease. The results/data will highlight changes that will lead to cardiovascular disease and how the progression can be slowed.
References
Anyasodor, A. E., Bwititi, P. T., Chen, T., & Nwose, E. U. (2021). 1452: A Cohort Study of Comorbidities of Diabetes in Regional Australia. International journal of epidemiology, 50(Supplement_1). https://doi.org/https://doi.org/10.1093/ije/dyab168.494
Dattani, S. (2023). Period versus cohort measures: what’s the difference? Our World in Data. Retrieved 16th June, 2024, from https://ourworldindata.org/period-versus-cohort-measures-whats-the-difference
Kearney-Schwartz, A., Virion, J. M., Stoltz, J. F., Drouin, P., & Zannad, F. (2007). Haemorheological disturbances in hypertensive type 2 diabetic patients--influence of antihypertensive therapy. Fundam Clin Pharmacol, 21(4), 387-396. https://doi.org/10.1111/j.1472-8206.2007.00496.x
Ngwu, A. (2022). Haematological parameters and their correlation with lipid profile in type 2 diabetes mellitus patients. Journal of Nursing and Health Science, 11(1), 1-6. https://doi.org/ 10.9790/1959-1101050106
Nwose, E. U., Richards, R. S., Butkowski, E., & Cann, N. (2010). Position paper for health authorities: archived clinical pathology data - treasure to revalue and appropriate. African Journal of Medicine
and Medical Sciences, 39(4), 311-315. http://www.scopus.com/inward/record.url?eid=2-s2.0-79960677367&partnerID=MN8TOARS
Obeagu, E. I. (2024). Red blood cells as biomarkers and mediators in complications of diabetes mellitus: A review. Medicine (Baltimore), 103(8), e37265. https://doi.org/https://doi.org/10.1097/md.0000000000037265