[An epidemiological study of peripheral blood studies]

Area of Science:

• Hematology
• Clinical Pathology
• Medical Statistics

Background:

• Routine peripheral blood investigations are crucial for diagnosing and monitoring various health conditions.
• Understanding demographic variations in hematological parameters is essential for accurate interpretation of test results.
• Previous studies have highlighted the need for race- and sex-specific reference ranges for hematological tests.

Purpose of the Study:

• To statistically analyze hematological data from a diverse patient population.
• To investigate the influence of age, race, and sex on key hematological variables.
• To explore potential associations between the day of the week and hematological test results.

Main Methods:

• A statistical random sample of 600 patients referred for peripheral blood investigations was analyzed.
• Data included Coulter Model S results, platelet counts, erythrocyte sedimentation rates, differential counts, age, race, and sex.
• Machine sorting and regression analysis were used to evaluate 12 hematological variables across four race and sex groups.

Main Results:

• Mean values of 12 hematological variables were plotted against age for different race and sex groups.
• Normal hematological limits were established using +/- 2 standard deviations for various age groups.
• Results were evaluated as low, normal, or high, with tables generated to visualize distributions and percentages of abnormal values.

Conclusions:

• Statistical computing of routine numerical data provides an approach to epidemiology.
• The study demonstrated a method for analyzing and visualizing hematological data across demographic groups.
• While no definitive 'normal' values can be concluded from this selected sample, the methodology is applicable for epidemiological insights.