Department of Pulmonology, Faculty of Medicine, Gazi University, Emniyet Mah, Yenimahalle, Ankara, Turkey.
Department of Pulmonology, Faculty of Medicine, Health Sciences University, Atatürk Sanatorium Training and Research Hospital, Sanatorium Cad, Keçiören, Ankara, Turkey.
Medicine (Baltimore). 2022 Dec 23;101(51):e32397. doi: 10.1097/MD.0000000000032397.
Distinguishing critical laboratory biomarkers for disease severity at the time of hospital presentation is important for early identification of patients who are most likely to have poor outcomes and effective use of health resources. This study aimed to evaluate whether electrolyte imbalances on hospital admission predict severe disease and mortality in patients with coronavirus disease 2019 (COVID-19). We retrospectively collected data on the blood electrolyte concentrations of 286 COVID-19 patients at admission. The correlations between electrolyte imbalances, inflammation, and thrombosis markers in COVID-19 patients were also evaluated. We assessed the predictive performance of baseline blood electrolyte concentrations for severe disease and death using receiver operating characteristic curve analysis and multivariate logistic regression methods. Abnormalities in serum sodium, calcium, and potassium levels at admission were found at 20.6%, 14%, and 4.2%, respectively in this study. In the receiver operating characteristic curve analyses, hypocalcemia and hyponatremia effectively predicted disease progression to hospitalization (area under the curve 0.82, P < .001 and 0.81, P < .001, respectively) and 30-day mortality (area under the curve 0.85, P < .001 and 0.91, P < .001, respectively). In the multivariate logistic regression analysis, baseline hypocalcemia was identified as an independent risk factor associated with the risk of hospitalization (β = 2.019, P = .01; odds ratio: 7.53). Baseline hypocalcemia and hyponatremia effectively predicted disease progression toward hospitalization and 30-day mortality in patients with COVID-19. Clinicians should closely follow up or reevaluate COVID-19 patients with baseline electrolyte disorders.
在发病时区分导致疾病严重程度的关键实验室生物标志物对于早期识别最有可能出现不良结局的患者以及有效利用卫生资源非常重要。本研究旨在评估入院时电解质失衡是否可预测 2019 年冠状病毒病(COVID-19)患者的严重疾病和死亡率。我们回顾性收集了 286 例 COVID-19 患者入院时的血液电解质浓度数据。还评估了 COVID-19 患者中电解质失衡、炎症和血栓形成标志物之间的相关性。我们使用接受者操作特征曲线分析和多变量逻辑回归方法评估了基线血液电解质浓度对严重疾病和死亡的预测性能。本研究中,入院时血清钠、钙和钾水平异常分别为 20.6%、14%和 4.2%。在接受者操作特征曲线分析中,低钙血症和低钠血症可有效预测疾病进展至住院(曲线下面积 0.82,P<0.001 和 0.81,P<0.001)和 30 天死亡率(曲线下面积 0.85,P<0.001 和 0.91,P<0.001)。在多变量逻辑回归分析中,基线低钙血症被确定为与住院风险相关的独立危险因素(β=2.019,P=0.01;比值比:7.53)。基线低钙血症和低钠血症可有效预测 COVID-19 患者疾病向住院和 30 天死亡率的进展。临床医生应密切随访或重新评估存在基线电解质紊乱的 COVID-19 患者。