Prognostic Value of "Cycle Threshold" in Confirmed COVID-19 Patients.
Prognostic Value of "Cycle Threshold" in Confirmed COVID-19 Patients.
复制标题
“周期阈值”在COVID-19确诊患者中的预后价值
DOI：
10.5005/jp-journals-10071-23765
复制
发表时间：
2021-03
期刊：
影响因子：
--
通讯作者：
Aluru N
中科院分区：
文献类型：
--
作者：
Rajyalakshmi B;Samavedam S;Reddy PR;Aluru N
目的：研究确诊的 COVID-19 患者逆转录聚合酶链反应（RT-PCR）检测的循环阈值（CT）与疾病严重程度之间的相关性。背景：RT-PCR 检测是诊断严重急性呼吸综合征冠状病毒-2 (SARS-CoV-2) 感染的标准方法。该测试基于荧光信号的放大。荧光信号达到阈值所经历的循环数称为“循环阈值”。它与样品的核酸含量成反比。患者和方法：这是一项单中心、回顾性观察研究。我们总共纳入了 192 名患者。通过 RT-PCR 检测证实 SARS-CoV-2 感染。全部数据已从电子病历中收集。主要结局是28天死亡率，次要结局是重症监护病房（ICU）入院、有创通气、急性肾损伤、肾脏替代治疗（RRT）、休克以及胸部高分辨率计算机断层扫描的COVID-19报告和数据系统（CO-RADS）评分、住院总时间以及ICU天数和呼吸机天数。结果：我们计算了所有组的平均 CT 值并计算了统计显着性的 p 值。对于总住院时间以及 ICU 天数和呼吸机天数，我们应用了皮尔逊相关系数。死亡率、入住 ICU 和休克组的 p 值具有统计学意义。 CT 值和 ICU 住院时间与统计上显着的 p 值呈负相关。结论：低 CT 值与 ICU 入住率增加、高死亡率、休克和 ICU 住院时间增加相关。如何引用本文：Rajyalakshmi B、Samavedam S、Reddy PR、Aluru N。“周期阈值”在确诊的 COVID-19 患者中的预后价值。印度重症监护医学杂志 2021；25(3)：322–326。
Objective: To study the correlation between the cycle threshold (CT) of reverse transcription–polymerase chain reaction (RT–PCR) test in confirmed COVID-19 patients and the severity of disease. Background: RT–PCR test is a standard method for the diagnosis of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infections. This test is based upon the amplification of the fluorescent signal. The number of cycles that the fluorescent signal undergoes to reach the threshold is called “cycle threshold.” It is inversely related to the nucleic acid content of the sample. Patients and methods: This is a single-centered, retrospective observational study. We have included a total of 192 patients. SARS-CoV-2 infection was confirmed by the RT–PCR test. Entire data have been collected from the electronic medical records. The primary outcome was 28-day mortality, whereas the secondary outcomes were intensive care unit (ICU) admission, invasive ventilation, acute kidney injury, renal replacement therapy (RRT), shock, and COVID-19 reporting and data system (CO-RADS) score on high-resolution computed tomography of the chest, total length of stay in the hospital, and the number of ICU days and ventilator days. Results: We have calculated the mean CT value for all groups and calculated the p-value for statistical significance. For the total length of stay in the hospital and the number of ICU days and ventilator days, we applied the Pearson correlation coefficient. The p-value was statistically significant for mortality, ICU admission, and shock groups. The CT values and the length of ICU stay were inversely correlated with the statistically significant p-value. Conclusion: Low CT value is associated with increased ICU admission, high mortality, shock, and increased length of ICU stay. How to cite this article: Rajyalakshmi B, Samavedam S, Reddy PR, Aluru N. Prognostic Value of “Cycle Threshold” in Confirmed COVID-19 Patients. Indian J Crit Care Med 2021;25(3):322–326.