Reddy Rithika Manjunatha, Suthana Sana, Karthikeyan Aditya, Kulkarni Ashwin, Aslam Shaikh Mohammed, Suhail K Mohammed
Department of General Medicine, Ramaiah Medical College, Bengaluru, Karnataka, India.
Department of Medicine, Ramaiah Medical College, Bengaluru, Karnataka, India.
J Family Med Prim Care. 2024 Aug;13(8):3203-3208. doi: 10.4103/jfmpc.jfmpc_20_24. Epub 2024 Jul 26.
Prognostic nutritional index (PNI) and systemic immune-inflammatory index (SII) are two novel markers that have emerged as potential candidates as an early indication of the severity of the disease in coronavirus disease 2019 (COVID-19) patients.
The objective of the study is to assess the utility of the prognostic nutritional index (PNI) and systemic immune-inflammatory index (SII) as markers of severity among patients with COVID-19 infection.
This is a retrospective study conducted in a tertiary care centre in South India. A total of 80 patients diagnosed with COVID-19 were included in the study. The patients were divided into mild, moderate, and severe groups based on the clinical parameters as per Indian Council of Medical Research guidelines. Lab values taken at admission were obtained from patient records, using which the PNI and SII were calculated using standard formulae. These markers were correlated with the severity of the COVID-19 illness.
PNI and SII were significantly elevated in the patients with severe COVID-19 illness as compared with mild COVID-19 illness. The mean PNI among subjects with mild COVID-19 and severe COVID-19 being 46.62 ± 6.51 and 34.09 ± 5.81, respectively. The mean SII among subjects with mild COVID-19 was 9,52,287.2 ± 1,42,113, and among subjects with severe COVID-19 was 15,39,461 ± 8,04,285. The cut-off value for PNI and SII for predicting severity of COVID-19 illness was 35.93 and 5,82,400, respectively. The sensitivity for PNI was 87.5, and the SII was 95.
The present study showed a significant correlation between the SII and PNI as markers used to determine the severity of COVID-19. Based on these findings, it can be effectively used independently of other markers to predict critical illness among COVID-19 patients.
预后营养指数（PNI）和全身免疫炎症指数（SII）是两种新出现的标志物，有可能作为2019冠状病毒病（COVID-19）患者疾病严重程度的早期指标。
本研究的目的是评估预后营养指数（PNI）和全身免疫炎症指数（SII）作为COVID-19感染患者严重程度标志物的效用。
这是一项在印度南部一家三级护理中心进行的回顾性研究。共有80例确诊为COVID-19的患者纳入研究。根据印度医学研究理事会的指南，根据临床参数将患者分为轻度、中度和重度组。从患者记录中获取入院时的实验室值，并用标准公式计算PNI和SII。这些标志物与COVID-19疾病的严重程度相关。
与轻度COVID-19疾病患者相比，重度COVID-19疾病患者的PNI和SII显著升高。轻度COVID-19和重度COVID-19患者的平均PNI分别为46.62±6.51和34.09±5.81。轻度COVID-19患者的平均SII为952287.2±142113，重度COVID-19患者的平均SII为1539461±804285。预测COVID-19疾病严重程度的PNI和SII临界值分别为35.93和582400。PNI的敏感性为87.5，SII的敏感性为95。
本研究表明，SII和PNI作为用于确定COVID-19严重程度的标志物之间存在显著相关性。基于这些发现，它可以独立于其他标志物有效地用于预测COVID-19患者的危重症。
