Glucometer derived glycemic variability as an early spot prognosticator for insulin dependent critically ill patients

Background: Glycemic variability, as mathematically defined by higher fluctuation rate or gap between the maximum and minimum values. In critically ill patients, blood glucose readings are highly susceptible to owing multi-dimensional confounders. Aim: this study, we primarily aim investigate prognostic utility of glucometer derived glycemic variability regarding overall mortality. Also, explore optimal operating cutoff point binary logistic regression correlation for versus Methods: A retrospective study was conducted tested patients who were admitted in Intensive Care Unit at King Hussein Medical Center 1 Jan 2018 31 Dec 2022. Patients had missed data>20% excluded from our study. Firstly, a receiver characteristic sensitivity analysis area under curve indices mortality prognosticator. also used association with 28-day ICU rate. All statistical will be p-value <0.05 level significance via SPSS version 25. Results: Actually, 2528 3217 cases processed positive actual states (Positive OI, Non-Survivors) negative (Negative Survivors) respectively. The AUC±SEM (95 C) GLK_BG_Var (%) significantly than that GLK_BG Avg 0.829±0.006 (95% CI; 0.817-0.841) 0.597±0.008 0.582-0.612) probabilities investigated patients’ logistically correlated GLK_BG_Var% GLK_BG_Avg following constructed BLgR models [e (-5.152+10.8×GLK_BG_%Var) /1+ e e(-5.416+0.025×GLK_BG_Avg) (-5.416+0.025×GLK_BG_Avg), respectively]. explored 2 BG prognosticators; Var% Avg, identified 48.1% 43.96% thresholds 47% 206.94 mg/dl, Indeed, explained variations dependent variable based on aforementioned adopted independent mortality’s predictors ranged 26.1%-35% 3.4%-4.6% depending whether you reference Cox & Snell R2 Nagelkerke methods, respectively, they correctly classified approximately 80.1% 48.4% cases, χ2(8) = 926.992 and1232.19, Conclusion: first glucometer-based prognosticator [GLK_BG_Var%] AUROC, predictive utilities its comparative average related revealed strong poor outcomes values, notably when variation exceeding 47%.