Gupta Divya, Jain Apoorv, Chauhan Munish, Dewan Sandeep
Department of Critical Care Medicine, Fortis Memorial Research Institute, Gurugram, Haryana, India.
Indian J Crit Care Med. 2022 Summer;26(4):482-486. doi: 10.5005/jp-journals-10071-24171.
In pandemic situations, it is essential that the limited resources are used judiciously to achieve most benefits. Prediction of the disease severity at the earliest will help in better allocation, thus, positively affecting prognosis and treatment.
To investigate patient characteristics and specific biomarkers as possible early predictors of disease severity of SARS-COV-2 infection.
Retrospective single-centric observational study conducted at 70-bedded intensive care unit of tertiary care hospital at Haryana, India. 100 consecutive RT-PCR positive coronavirus disease-2019 (COVID-19) adult patients. Demographics, acute physiology and chronic health evaluation II (Apache-II) score, and Inflammatory markers were compared with respect to oxygenation defect (PaO/FiO ratio: <300 or ≥300 mm Hg), need of invasive ventilation, ICU length of stay and 28-day mortality.
Mean age was significantly more in lower PF ratio group (58.01 ± 15.33 vs 50.97 ± 13.78, = 0.023) whereas sex ratio was comparable among patients in two groups. Significantly, higher APACHE-II score ( ≤0.001) and presence of hypertension (43.54% vs 23.68%; = 0·045) in low PF ratio group along with higher C-reactive protein (171.78 ± 124.45 vs 101.52 ± 88.70), IL-6 (173.51 vs 53.18) and ferritin (1677.60 ± 2271.13 vs 643.54 ± 718.68) levels. Procalcitonin, lactate dehydrogenase, and creatine phosphokinase (CPK) levels were not significant.
Age and APACHE II score and among laboratory parameters CRP, ferritin, and IL-6 levels were significantly higher in low PF ratio group, patients requiring invasive ventilation and in mortality group. Use of this triad (CRP, ferritin, and IL-6 levels) at admission may predict the disease severity early in the course. Addition of APACHE-II may further improve the accuracy of the score.
Gupta D, Jain A, Chauhan M, Dewan S. Inflammatory Markers as Early Predictors of Disease Severity in COVID-19 Patients Admitted to Intensive Care Units: A Retrospective Observational Analysis. Indian J Crit Care Med 2022;26(4):482-486.
在疫情大流行的情况下,明智地使用有限资源以实现最大效益至关重要。尽早预测疾病严重程度将有助于更好地分配资源,从而对预后和治疗产生积极影响。
研究患者特征和特定生物标志物作为严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染疾病严重程度的可能早期预测指标。
在印度哈里亚纳邦一家三级护理医院拥有70张床位的重症监护病房进行回顾性单中心观察性研究。连续纳入100例实时荧光定量聚合酶链反应(RT-PCR)检测呈阳性的2019冠状病毒病(COVID-19)成年患者。比较人口统计学数据、急性生理与慢性健康状况评估II(Apache-II)评分以及炎症标志物与氧合缺陷(动脉血氧分压/吸入氧分数值[PaO/FiO]比值:<300或≥300 mmHg)、有创通气需求、重症监护病房住院时间和28天死亡率之间的关系。
较低PaO/FiO比值组的平均年龄显著更高(58.01±15.33岁 vs 50.97±13.78岁,P = 0.023),而两组患者的性别比例相当。值得注意的是,较低PaO/FiO比值组的Apache-II评分显著更高(P≤0.001),高血压患病率更高(43.54% vs 23.68%;P = 0.045),同时C反应蛋白(171.78±124.45 vs 101.52±88.70)、白细胞介素-6(IL-6)(173.51 vs 53.18)和铁蛋白(1677.60±2271.13 vs 643.54±718.68)水平也更高。降钙素原、乳酸脱氢酶和肌酸磷酸激酶(CPK)水平无显著差异。
年龄、Apache II评分以及实验室参数中的C反应蛋白、铁蛋白和IL-6水平在较低PaO/FiO比值组、需要有创通气的患者组和死亡组中显著更高。入院时使用这三者组合(C反应蛋白、铁蛋白和IL-6水平)可能在病程早期预测疾病严重程度。加入Apache-II评分可能会进一步提高该评分的准确性。
Gupta D, Jain A, Chauhan M, Dewan S. 炎症标志物作为入住重症监护病房的COVID-19患者疾病严重程度的早期预测指标:一项回顾性观察分析。《印度重症监护医学杂志》2022;26(4):482 - 486。