Introduction: DKA is a life-threatening disease that occurs early in type 1 diabetes. A lack of diagnostic resources can delay DKA diagnosis in some centers. In chronic disorders, hematologic inflammatory indicators are gaining attention. These markers' impact on DKA diagnosis and severity was the purpose of this cross-sectional investigation. Materials and Methods: The study included 54 DKA-diagnosed T1DM children and 50 healthy controls from a single center. From the total blood count, SII, SIRI, NLR, and PLR values were computed, and Platecrit, MPV and PDW values were recorded.DKA is categorized into three groups: mild, moderate, or severe DKA using ISPAD criteria. We then analyzed uninfected T1DM patients' independent DKA predictors. Variable diagnostic performance was determined via ROC curve analysis. Multivariate logistic regression analysis examined all significant parameters. Results: SII, NLR, and Platecrit significantly predict DKA severity (X2[3]SII=2973.23, X2[3]PCT =0,063, X2[3]NLR=93.29; pSII: 0,0001,pPCT: 0,0001,pNLR: 0,01). SII was the best marker for recognizing severe acidosis and T1DM with 94.44% sensitivity, and 81.48% specificity [AUC: 0.925 and 0,875]. This is one of the first SII/SIRI investigations in DKA children. Conclusion: SII, NLR, and Platecrit may accurately predict DKA severity, with SII being the most effective marker for diagnosing DM and recognizing severe acidosis. In resource-limited settings, SII may be a viable alternative to blood gas tests for severe acidosis assessment.