The Predictive Utility of Arterial Blood Gas Analysis for ICU Transfer and In-Hospital Mortality Among General Internal Medicine Inpatients

动脉血气分析对普通内科住院患者转入ICU和院内死亡率的预测价值

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Abstract

PURPOSE: Arterial blood gas (ABG) analysis is a widespread, low-cost diagnostic tool routinely used to assess the metabolic status of patients in internal medicine wards, a population characterized by a high burden of chronic comorbidities. However, its prognostic value for collectively predicting adverse outcomes such as ICU transfer and mortality remains insufficiently investigated. This study aimed to evaluate the ability of ABG parameters to predict the composite outcome of ICU transfer and in-hospital mortality in this patient population. PATIENTS AND METHODS: This retrospective cohort study was conducted at Haseki Training and Research Hospital and included 15,698 patients hospitalized in the Department of Internal Medicine between January 2020 and January 2025. Demographic data, medical history, laboratory parameters (including hemoglobin, white blood cell count, creatinine, albumin, procalcitonin, and blood gas analysis), and outcomes (ICU transfer and in-hospital mortality) were retrieved from the electronic hospital information system. Patients were stratified based on ICU transfer status and in-hospital mortality for comparative analysis. RESULTS: The study included 9057 patients (mean age 63.5±18.1 years; 51% female). The overall ICU admission and mortality rates were 6.2% (n=564) and 1.9% (n=168), respectively. The ICU and non-survivor groups were significantly older and exhibited a more pronounced inflammatory response (elevated CRP, neutrophils; decreased lymphocytes, albumin) along with more severe metabolic disturbances (elevated lactate; decreased bicarbonate) compared to their counterparts. Multivariate analysis identified age, neutrophil count, CRP, albumin, and lactate levels as independent predictors for both ICU admission and mortality. CONCLUSION: This study established that current blood gas parameters, particularly lactate and pCO(2), were useful in stratifying the risk for both intensive care unit transfer and in-hospital mortality.

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