Objectives: Despite great advances in the treatment of acute myocardial infarction (AMI), it is still the most common cause of death in the world. Therefore, predicting mortality in advance is clinically very important. In this study, we aimed to investigate the role of immature granulocyte (IG) and other hematological markers in predicting short- and long-term mortality in patients with AMI. Methods: Laboratory information system (LIS) data of a tertiary hospital were used in this study. Of the 298 patients who were admitted to the coronary intensive care unit with the diagnosis of myocardial infarction, 258 recovered after treatment and were discharged. 40 of them died. It was determined that 36 of these 258 patients, who were followed up retrospectively, died within 15 months after discharge. Results: The mean age of 298 people who participated in this retrospective study was 73.26 ± 8.6 years, and 53.3% were male. Moderate and high predictive property in receiver operating characteristic (ROC) analysis for short-term mortality, white blood cell (WBC) area under curve (AUC) = 0.802), neutrophil count (AUC = 0.817), IG count (AUC = 0.841), neutrophil/lymphocyte ratio (NLR) (AUC = 0.701), and C-reactive protein (CRP) (AUC = 0.758) tests detected. For long-term mortality, a moderate predictive feature was observed in the age (AUC = 0.712) parameter. Conclusions: IG is a marker that does not require extra cost, provides rapid results and has high predictive value in predicting death in the short term in patients with acute myocardial infarction. It is ineffective in predicting long-term mortality.

Objectives The reference interval is the primary tool used to interpret laboratory test results. Each laboratory should determine reference intervals (RIs) that reflect their population. In this study, it was aimed to determine the RIs of hemogram routine and advanced clinical test parameters for our hospital and region by indirect method and to compare these calculated RIs with the limits recommended by the current manufacturer and the literature. Methods The hemogram results of patients aged 18–65 years who applied to Kastamonu Training and Research Hospital between July 2020 and June 2022, were included in the study. Hemogram analyzes were performed on Sysmex XN-1000 (Kobe, Japan) hematology auto analyzers. The RIs were determined by indirect method from the obtained data using the non-parametric percentage estimation method. Harris-Boyd method was used to decide on subgroup separation based on gender. Results All parameters had non-parametric distribution. RBC, HGB, HCT, MCH, MCHC, PLT, RDW-CV, RDW-SD, PCT, Monocytes count, Eosinophils count, Monocytes % and MacroR parameters which required gender-spesific RIs were determined separately for genders. Conclusions When the results are evaluated, it shows that the manufacturer’s recommendations together with the studies in the literature do not fully reflect the RIs of our population. Therefore, it is very important for each laboratory to determine its own RIs due to the differences in population, diet, technical equipment used and reference group. In addition, we think that our study will make a significant contribution to the literature, since there is insufficient data in the literature on RIs for advanced clinical parameters.